From b329a573d529b7181cfeca6ed18c375b6e159b45 Mon Sep 17 00:00:00 2001 From: Arjun K Haridas <51917087+topguns837@users.noreply.github.com> Date: Sun, 9 Jan 2022 04:36:20 +0530 Subject: [PATCH] Add files via upload --- Python/app.py | 32 + Python/hate-speech-1.ipynb | 3013 ++++++++++++++++++++++++++++++++++ Python/hate-speech-2.ipynb | 2162 ++++++++++++++++++++++++ Python/model.sav | Bin 0 -> 338812 bytes Python/tempCodeRunnerFile.py | 23 + Python/train.csv | 892 ++++++++++ 6 files changed, 6122 insertions(+) create mode 100644 Python/app.py create mode 100644 Python/hate-speech-1.ipynb create mode 100644 Python/hate-speech-2.ipynb create mode 100644 Python/model.sav create mode 100644 Python/tempCodeRunnerFile.py create mode 100644 Python/train.csv diff --git a/Python/app.py b/Python/app.py new file mode 100644 index 0000000..05705f9 --- /dev/null +++ b/Python/app.py @@ -0,0 +1,32 @@ +from flask import Flask,jsonify +#from flask.ext.cors import CORS, cross_origin +import pandas as pd +from sklearn import preprocessing +from sklearn.linear_model import LinearRegression +import csv +import pickle + +path="E:/projects/i-spy/Python/model.sav" +model = pickle.load(open(path,'rb')) + + +app=Flask(__name__) + +#current code for API routing +@app.route('/',methods=['GET']) +def get_input(input_str): + print("loop") + input_str=input_str.replace('_',' ') + ans=model.predict([input_str]) + print(ans) + return jsonify({"ans":str(int(ans[0]))}) + +@app.route('/',methods=['GET']) +def home_page(): + + return "home" + + + +if __name__== "__main__": + app.run(debug=True) \ No newline at end of file diff --git a/Python/hate-speech-1.ipynb b/Python/hate-speech-1.ipynb new file mode 100644 index 0000000..8311199 --- /dev/null +++ b/Python/hate-speech-1.ipynb @@ -0,0 +1,3013 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 128, + "id": "31234172", + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "import re\n", + "from wordcloud import WordCloud\n" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "id": "0111442f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
labeltweet
id
10@user when a father is dysfunctional and is s...
20@user @user thanks for #lyft credit i can't us...
30bihday your majesty
40#model i love u take with u all the time in ...
50factsguide: society now #motivation
60[2/2] huge fan fare and big talking before the...
70@user camping tomorrow @user @user @user @use...
80the next school year is the year for exams.ðŸ˜...
90we won!!! love the land!!! #allin #cavs #champ...
100@user @user welcome here ! i'm it's so #gr...
\n", + "
" + ], + "text/plain": [ + " label tweet\n", + "id \n", + "1 0 @user when a father is dysfunctional and is s...\n", + "2 0 @user @user thanks for #lyft credit i can't us...\n", + "3 0 bihday your majesty\n", + "4 0 #model i love u take with u all the time in ...\n", + "5 0 factsguide: society now #motivation\n", + "6 0 [2/2] huge fan fare and big talking before the...\n", + "7 0 @user camping tomorrow @user @user @user @use...\n", + "8 0 the next school year is the year for exams.ðŸ˜...\n", + "9 0 we won!!! love the land!!! #allin #cavs #champ...\n", + "10 0 @user @user welcome here ! i'm it's so #gr..." + ] + }, + "execution_count": 57, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dataset1=pd.read_csv('https://raw.githubusercontent.com/topguns837/Hate-Speech-Detection/main/Datasets/dataset-1/train_E6oV3lV.csv?token=AMMDCH4VCBBMSWXVIRLIFZLB376N2',index_col=0)\n", + "dataset1.head(10)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9526b471", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "d8206b9c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Unnamed: 0counthate_speechoffensive_languageneitherclasstweet
0030032!!! RT @mayasolovely: As a woman you shouldn't...
1130301!!!!! RT @mleew17: boy dats cold...tyga dwn ba...
2230301!!!!!!! RT @UrKindOfBrand Dawg!!!! RT @80sbaby...
3330211!!!!!!!!! RT @C_G_Anderson: @viva_based she lo...
4460601!!!!!!!!!!!!! RT @ShenikaRoberts: The shit you...
5531201!!!!!!!!!!!!!!!!!!\"@T_Madison_x: The shit just...
6630301!!!!!!\"@__BrighterDays: I can not just sit up ...
7730301!!!!&#8220;@selfiequeenbri: cause I'm tired of...
8830301\" &amp; you might not get ya bitch back &amp; ...
9931201\" @rhythmixx_ :hobbies include: fighting Maria...
\n", + "
" + ], + "text/plain": [ + " Unnamed: 0 count hate_speech offensive_language neither class \\\n", + "0 0 3 0 0 3 2 \n", + "1 1 3 0 3 0 1 \n", + "2 2 3 0 3 0 1 \n", + "3 3 3 0 2 1 1 \n", + "4 4 6 0 6 0 1 \n", + "5 5 3 1 2 0 1 \n", + "6 6 3 0 3 0 1 \n", + "7 7 3 0 3 0 1 \n", + "8 8 3 0 3 0 1 \n", + "9 9 3 1 2 0 1 \n", + "\n", + " tweet \n", + "0 !!! RT @mayasolovely: As a woman you shouldn't... \n", + "1 !!!!! RT @mleew17: boy dats cold...tyga dwn ba... \n", + "2 !!!!!!! RT @UrKindOfBrand Dawg!!!! RT @80sbaby... \n", + "3 !!!!!!!!! RT @C_G_Anderson: @viva_based she lo... \n", + "4 !!!!!!!!!!!!! RT @ShenikaRoberts: The shit you... \n", + "5 !!!!!!!!!!!!!!!!!!\"@T_Madison_x: The shit just... \n", + "6 !!!!!!\"@__BrighterDays: I can not just sit up ... \n", + "7 !!!!“@selfiequeenbri: cause I'm tired of... \n", + "8 \" & you might not get ya bitch back & ... \n", + "9 \" @rhythmixx_ :hobbies include: fighting Maria... " + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dataset2=pd.read_csv('https://raw.githubusercontent.com/topguns837/Hate-Speech-Detection/main/Datasets/dataset-3/labeled_data.csv?token=AMMDCHYRCRHGVNQ3RUOBSC3B374UY')\n", + "dataset2.head(10)" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "id": "b18a0441", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
idtextlabeltypemodel_wrongdb.model_predsstatusroundsplitannotator
110000It should be legal for a husband to rape his wifehatenotgivenTrue0.97457dynabench entry1traingnzuctwed3
210001dalits are lowlife scumhatenotgivenFalse0.08233dynabench entry1testcagnluiznm
310002dalits are lowliveshatenotgivenTrue0.92319dynabench entry1traincagnluiznm
410003It was a better world when women dare not ques...hatenotgivenTrue0.99006dynabench entry1testgnzuctwed3
510004I don't work this hard so that those immigrant...hatenotgivenTrue0.98836dynabench entry1traincagnluiznm
610005I don't work this hard so that those migrants ...hatenotgivenTrue0.99506dynabench entry1traincagnluiznm
710006I don't work this hard so that those foreigner...hatenotgivenTrue0.99340dynabench entry1traincagnluiznm
810007I don't work this hard so that those Hispanics...hatenotgivenTrue0.98625dynabench entry1traincagnluiznm
910008I don't work this hard so that those chavs can...hatenotgivenTrue0.95252dynabench entry1testcagnluiznm
1010009I don't work this hard so that all those pakis...hatenotgivenFalse0.09288dynabench entry1traincagnluiznm
\n", + "
" + ], + "text/plain": [ + " id text label type \\\n", + "1 10000 It should be legal for a husband to rape his wife hate notgiven \n", + "2 10001 dalits are lowlife scum hate notgiven \n", + "3 10002 dalits are lowlives hate notgiven \n", + "4 10003 It was a better world when women dare not ques... hate notgiven \n", + "5 10004 I don't work this hard so that those immigrant... hate notgiven \n", + "6 10005 I don't work this hard so that those migrants ... hate notgiven \n", + "7 10006 I don't work this hard so that those foreigner... hate notgiven \n", + "8 10007 I don't work this hard so that those Hispanics... hate notgiven \n", + "9 10008 I don't work this hard so that those chavs can... hate notgiven \n", + "10 10009 I don't work this hard so that all those pakis... hate notgiven \n", + "\n", + " model_wrong db.model_preds status round split annotator \n", + "1 True 0.97457 dynabench entry 1 train gnzuctwed3 \n", + "2 False 0.08233 dynabench entry 1 test cagnluiznm \n", + "3 True 0.92319 dynabench entry 1 train cagnluiznm \n", + "4 True 0.99006 dynabench entry 1 test gnzuctwed3 \n", + "5 True 0.98836 dynabench entry 1 train cagnluiznm \n", + "6 True 0.99506 dynabench entry 1 train cagnluiznm \n", + "7 True 0.99340 dynabench entry 1 train cagnluiznm \n", + "8 True 0.98625 dynabench entry 1 train cagnluiznm \n", + "9 True 0.95252 dynabench entry 1 test cagnluiznm \n", + "10 False 0.09288 dynabench entry 1 train cagnluiznm " + ] + }, + "execution_count": 58, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dataset3=pd.read_csv('https://raw.githubusercontent.com/topguns837/Hate-Speech-Detection/main/Datasets/dataset-2/2020-12-31-DynamicallyGeneratedHateDataset-entries-v0.1.csv?token=AMMDCH6DITPFYTEA63YMGOLB4ADRG',index_col=0)\n", + "dataset3.head(10)" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "id": "c117bbae", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "label 0\n", + "tweet 0\n", + "dtype: int64\n" + ] + } + ], + "source": [ + "print(dataset1.isnull().sum())" + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "id": "e94edc9a", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Unnamed: 0 0\n", + "count 0\n", + "hate_speech 0\n", + "offensive_language 0\n", + "neither 0\n", + "class 0\n", + "tweet 0\n", + "dtype: int64\n" + ] + } + ], + "source": [ + "print(dataset2.isnull().sum())" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "id": "33359be6", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Unnamed: 0 0\n", + "count 0\n", + "hate_speech 0\n", + "offensive_language 0\n", + "neither 0\n", + "class 0\n", + "tweet 0\n", + "dtype: int64\n" + ] + } + ], + "source": [ + "print(dataset2.isnull().sum())" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a54a31d1", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 62, + "id": "7e8de6f2", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "+ve : 7.014579813528565\n", + "+ve : 92.98542018647143\n", + "total length : 31962\n", + "+ve length : 4484\n" + ] + } + ], + "source": [ + "print(\"+ve : {}\".format((len(dataset1[dataset1.label==1])/len(dataset1))*100))\n", + "print(\"+ve : {}\".format((len(dataset1[dataset1.label==0])/len(dataset1))*100))\n", + "print(\"total length : {}\".format(len(dataset1)))\n", + "print(\"+ve length : \",2*len(dataset1[dataset1.label==1]))" + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "id": "96c68c1b", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "+ve : 13.795747084695154\n", + "+ve : 79.85312512609451\n", + "total length : 24783\n", + "+ve length : 6838\n" + ] + } + ], + "source": [ + "print(\"+ve : {}\".format((len(dataset2[dataset2.hate_speech==1])/len(dataset2))*100))\n", + "print(\"+ve : {}\".format((len(dataset2[dataset2.hate_speech==0])/len(dataset2))*100))\n", + "print(\"total length : {}\".format(len(dataset2)))\n", + "print(\"+ve length : \",2*len(dataset2[dataset2.hate_speech==1]))" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "id": "f32a2318", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "+ve : 54.4617581173227\n", + "+ve : 45.5382418826773\n", + "total length : 40623\n", + "+ve length : 44248\n" + ] + } + ], + "source": [ + "print(\"+ve : {}\".format((len(dataset3[dataset3.label==\"hate\"])/len(dataset3))*100))\n", + "print(\"+ve : {}\".format((len(dataset3[dataset3.label==\"nothate\"])/len(dataset3))*100))\n", + "print(\"total length : {}\".format(len(dataset3)))\n", + "print(\"+ve length : \",2*len(dataset3[dataset3.label==\"hate\"]))" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "id": "004e716a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
idtextlabeltypemodel_wrongdb.model_predsstatusroundsplitannotator
407319988Dalits are worth of nothinghatenotgivenTrue0.98205dynabench entry1traincagnluiznm
407329989Dalits are worthy of nothinghatenotgivenTrue0.98171dynabench entry1testcagnluiznm
407339990we should forcibly remove all the dalits from ...hatenotgivenFalse0.09661dynabench entry1traincagnluiznm
407349991we should forcibly remove all the dalits from ...hatenotgivenTrue0.87609dynabench entry1traincagnluiznm
407359994Women are so hystericalhatenotgivenTrue0.90521dynabench entry1testgnzuctwed3
407369995we should forcibly remove all the foreigners f...hatenotgivenTrue0.86945dynabench entry1traincagnluiznm
407379996we should forcibly remove all the immigrants f...hatenotgivenTrue0.50039dynabench entry1traincagnluiznm
407389997dalits are unworthy of the Gods lovehatenotgivenTrue0.97652dynabench entry1traincagnluiznm
407399998dalits are worthlesshatenotgivenTrue0.94326dynabench entry1traincagnluiznm
407409999dalits are deserves to be treated as lowlifehatenotgivenTrue0.94324dynabench entry1traincagnluiznm
\n", + "
" + ], + "text/plain": [ + " id text label \\\n", + "40731 9988 Dalits are worth of nothing hate \n", + "40732 9989 Dalits are worthy of nothing hate \n", + "40733 9990 we should forcibly remove all the dalits from ... hate \n", + "40734 9991 we should forcibly remove all the dalits from ... hate \n", + "40735 9994 Women are so hysterical hate \n", + "40736 9995 we should forcibly remove all the foreigners f... hate \n", + "40737 9996 we should forcibly remove all the immigrants f... hate \n", + "40738 9997 dalits are unworthy of the Gods love hate \n", + "40739 9998 dalits are worthless hate \n", + "40740 9999 dalits are deserves to be treated as lowlife hate \n", + "\n", + " type model_wrong db.model_preds status round split \\\n", + "40731 notgiven True 0.98205 dynabench entry 1 train \n", + "40732 notgiven True 0.98171 dynabench entry 1 test \n", + "40733 notgiven False 0.09661 dynabench entry 1 train \n", + "40734 notgiven True 0.87609 dynabench entry 1 train \n", + "40735 notgiven True 0.90521 dynabench entry 1 test \n", + "40736 notgiven True 0.86945 dynabench entry 1 train \n", + "40737 notgiven True 0.50039 dynabench entry 1 train \n", + "40738 notgiven True 0.97652 dynabench entry 1 train \n", + "40739 notgiven True 0.94326 dynabench entry 1 train \n", + "40740 notgiven True 0.94324 dynabench entry 1 train \n", + "\n", + " annotator \n", + "40731 cagnluiznm \n", + "40732 cagnluiznm \n", + "40733 cagnluiznm \n", + "40734 cagnluiznm \n", + "40735 gnzuctwed3 \n", + "40736 cagnluiznm \n", + "40737 cagnluiznm \n", + "40738 cagnluiznm \n", + "40739 cagnluiznm \n", + "40740 cagnluiznm " + ] + }, + "execution_count": 65, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dataset3.tail(10)" + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "id": "5e031174", + "metadata": {}, + "outputs": [], + "source": [ + "test_data=dataset3[dataset3.split==\"test\"]\n", + "train_data=dataset3[dataset3.split==\"train\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "id": "ed63017c", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "32497\n", + "4062\n" + ] + } + ], + "source": [ + "print(len(train_data))\n", + "print(len(test_data))" + ] + }, + { + "cell_type": "code", + "execution_count": 102, + "id": "84740848", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "+ve : 54.417330830538205\n", + "-ve : 45.582669169461795\n", + "total length : 32497\n", + "+ve length : 35368\n" + ] + } + ], + "source": [ + "print(\"+ve : {}\".format((len(train_data[train_data.label==\"hate\"])/len(train_data))*100))\n", + "print(\"-ve : {}\".format((len(train_data[train_data.label==\"nothate\"])/len(train_data))*100))\n", + "print(\"total length : {}\".format(len(train_data)))\n", + "print(\"+ve length : \",2*len(train_data[train_data.label==\"hate\"]))" + ] + }, + { + "cell_type": "code", + "execution_count": 97, + "id": "2395011a", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\Asus\\AppData\\Local\\Temp/ipykernel_9288/399720002.py:1: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame.\n", + "Try using .loc[row_indexer,col_indexer] = value instead\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " train_data[\"new_label\"]=\"\"\n" + ] + } + ], + "source": [ + "train_data[\"new_label\"]=\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 98, + "id": "f5526bff", + "metadata": {}, + "outputs": [], + "source": [ + "#train_data.add(\"new_label\",axis=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 99, + "id": "b7754489", + "metadata": {}, + "outputs": [], + "source": [ + "for index, row in train_data.iterrows():\n", + " if row[\"model_wrong\"]==False:\n", + " train_data.at[index, \"new_label\"] = row[\"label\"]\n", + " else:\n", + " if row[\"label\"]==\"hate\":\n", + " train_data.at[index, \"new_label\"]=\"nothate\"\n", + " else:\n", + " train_data.at[index, \"new_label\"] = \"hate\"" + ] + }, + { + "cell_type": "code", + "execution_count": 100, + "id": "6d09f2c3", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "40729 nothate\n", + "40730 nothate\n", + "40731 nothate\n", + "40733 hate\n", + "40734 nothate\n", + "40736 nothate\n", + "40737 nothate\n", + "40738 nothate\n", + "40739 nothate\n", + "40740 nothate\n", + "Name: new_label, dtype: object" + ] + }, + "execution_count": 100, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "train_data[\"new_label\"].tail(10)" + ] + }, + { + "cell_type": "code", + "execution_count": 103, + "id": "aa550e46", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "+ve : 46.133489245161094\n", + "-ve : 53.866510754838906\n", + "total length : 32497\n", + "+ve length : 29984\n" + ] + } + ], + "source": [ + "print(\"+ve : {}\".format((len(train_data[train_data.new_label==\"hate\"])/len(train_data))*100))\n", + "print(\"-ve : {}\".format((len(train_data[train_data.new_label==\"nothate\"])/len(train_data))*100))\n", + "print(\"total length : {}\".format(len(train_data)))\n", + "print(\"+ve length : \",2*len(train_data[train_data.new_label==\"hate\"]))" + ] + }, + { + "cell_type": "code", + "execution_count": 105, + "id": "f1a7852e", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
idtextlabeltypemodel_wrongdb.model_predsstatusroundsplitannotatornew_label
110000It should be legal for a husband to rape his wifehatenotgivenTrue0.97457dynabench entry1traingnzuctwed3nothate
310002dalits are lowliveshatenotgivenTrue0.92319dynabench entry1traincagnluiznmnothate
510004I don't work this hard so that those immigrant...hatenotgivenTrue0.98836dynabench entry1traincagnluiznmnothate
610005I don't work this hard so that those migrants ...hatenotgivenTrue0.99506dynabench entry1traincagnluiznmnothate
710006I don't work this hard so that those foreigner...hatenotgivenTrue0.99340dynabench entry1traincagnluiznmnothate
810007I don't work this hard so that those Hispanics...hatenotgivenTrue0.98625dynabench entry1traincagnluiznmnothate
1010009I don't work this hard so that all those pakis...hatenotgivenFalse0.09288dynabench entry1traincagnluiznmhate
1110010I don't work this hard so that all those musli...hatenotgivenFalse0.46144dynabench entry1traincagnluiznmhate
1210012foreigners are a burden to our societyhatenotgivenTrue0.98753dynabench entry1traincagnluiznmnothate
1310013immigrants are a burden to our societyhatenotgivenTrue0.98971dynabench entry1traincagnluiznmnothate
\n", + "
" + ], + "text/plain": [ + " id text label type \\\n", + "1 10000 It should be legal for a husband to rape his wife hate notgiven \n", + "3 10002 dalits are lowlives hate notgiven \n", + "5 10004 I don't work this hard so that those immigrant... hate notgiven \n", + "6 10005 I don't work this hard so that those migrants ... hate notgiven \n", + "7 10006 I don't work this hard so that those foreigner... hate notgiven \n", + "8 10007 I don't work this hard so that those Hispanics... hate notgiven \n", + "10 10009 I don't work this hard so that all those pakis... hate notgiven \n", + "11 10010 I don't work this hard so that all those musli... hate notgiven \n", + "12 10012 foreigners are a burden to our society hate notgiven \n", + "13 10013 immigrants are a burden to our society hate notgiven \n", + "\n", + " model_wrong db.model_preds status round split annotator \\\n", + "1 True 0.97457 dynabench entry 1 train gnzuctwed3 \n", + "3 True 0.92319 dynabench entry 1 train cagnluiznm \n", + "5 True 0.98836 dynabench entry 1 train cagnluiznm \n", + "6 True 0.99506 dynabench entry 1 train cagnluiznm \n", + "7 True 0.99340 dynabench entry 1 train cagnluiznm \n", + "8 True 0.98625 dynabench entry 1 train cagnluiznm \n", + "10 False 0.09288 dynabench entry 1 train cagnluiznm \n", + "11 False 0.46144 dynabench entry 1 train cagnluiznm \n", + "12 True 0.98753 dynabench entry 1 train cagnluiznm \n", + "13 True 0.98971 dynabench entry 1 train cagnluiznm \n", + "\n", + " new_label \n", + "1 nothate \n", + "3 nothate \n", + "5 nothate \n", + "6 nothate \n", + "7 nothate \n", + "8 nothate \n", + "10 hate \n", + "11 hate \n", + "12 nothate \n", + "13 nothate " + ] + }, + "execution_count": 105, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "train_data.head(10)" + ] + }, + { + "cell_type": "code", + "execution_count": 110, + "id": "5e811fbc", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\Asus\\AppData\\Local\\Temp/ipykernel_9288/3701685404.py:1: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame.\n", + "Try using .loc[row_indexer,col_indexer] = value instead\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " train_data[\"is_hate\"]=0\n" + ] + } + ], + "source": [ + "train_data[\"is_hate\"]=0\n", + "\n", + "for index, row in train_data.iterrows():\n", + " if row[\"new_label\"]==\"nothate\":\n", + " train_data.at[index, \"is_hate\"] = 0\n", + " else:\n", + " train_data.at[index, \"is_hate\"] = 1\n", + " \n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 111, + "id": "af282b5e", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
idtextlabeltypemodel_wrongdb.model_predsstatusroundsplitannotatornew_labelis_hate
110000It should be legal for a husband to rape his wifehatenotgivenTrue0.97457dynabench entry1traingnzuctwed3nothate0
310002dalits are lowliveshatenotgivenTrue0.92319dynabench entry1traincagnluiznmnothate0
510004I don't work this hard so that those immigrant...hatenotgivenTrue0.98836dynabench entry1traincagnluiznmnothate0
610005I don't work this hard so that those migrants ...hatenotgivenTrue0.99506dynabench entry1traincagnluiznmnothate0
710006I don't work this hard so that those foreigner...hatenotgivenTrue0.99340dynabench entry1traincagnluiznmnothate0
810007I don't work this hard so that those Hispanics...hatenotgivenTrue0.98625dynabench entry1traincagnluiznmnothate0
1010009I don't work this hard so that all those pakis...hatenotgivenFalse0.09288dynabench entry1traincagnluiznmhate1
1110010I don't work this hard so that all those musli...hatenotgivenFalse0.46144dynabench entry1traincagnluiznmhate1
1210012foreigners are a burden to our societyhatenotgivenTrue0.98753dynabench entry1traincagnluiznmnothate0
1310013immigrants are a burden to our societyhatenotgivenTrue0.98971dynabench entry1traincagnluiznmnothate0
\n", + "
" + ], + "text/plain": [ + " id text label type \\\n", + "1 10000 It should be legal for a husband to rape his wife hate notgiven \n", + "3 10002 dalits are lowlives hate notgiven \n", + "5 10004 I don't work this hard so that those immigrant... hate notgiven \n", + "6 10005 I don't work this hard so that those migrants ... hate notgiven \n", + "7 10006 I don't work this hard so that those foreigner... hate notgiven \n", + "8 10007 I don't work this hard so that those Hispanics... hate notgiven \n", + "10 10009 I don't work this hard so that all those pakis... hate notgiven \n", + "11 10010 I don't work this hard so that all those musli... hate notgiven \n", + "12 10012 foreigners are a burden to our society hate notgiven \n", + "13 10013 immigrants are a burden to our society hate notgiven \n", + "\n", + " model_wrong db.model_preds status round split annotator \\\n", + "1 True 0.97457 dynabench entry 1 train gnzuctwed3 \n", + "3 True 0.92319 dynabench entry 1 train cagnluiznm \n", + "5 True 0.98836 dynabench entry 1 train cagnluiznm \n", + "6 True 0.99506 dynabench entry 1 train cagnluiznm \n", + "7 True 0.99340 dynabench entry 1 train cagnluiznm \n", + "8 True 0.98625 dynabench entry 1 train cagnluiznm \n", + "10 False 0.09288 dynabench entry 1 train cagnluiznm \n", + "11 False 0.46144 dynabench entry 1 train cagnluiznm \n", + "12 True 0.98753 dynabench entry 1 train cagnluiznm \n", + "13 True 0.98971 dynabench entry 1 train cagnluiznm \n", + "\n", + " new_label is_hate \n", + "1 nothate 0 \n", + "3 nothate 0 \n", + "5 nothate 0 \n", + "6 nothate 0 \n", + "7 nothate 0 \n", + "8 nothate 0 \n", + "10 hate 1 \n", + "11 hate 1 \n", + "12 nothate 0 \n", + "13 nothate 0 " + ] + }, + "execution_count": 111, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "train_data.head(10)" + ] + }, + { + "cell_type": "code", + "execution_count": 112, + "id": "4938770e", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
idtextlabeltypemodel_wrongdb.model_predsstatusroundsplitannotatornew_labelis_hate
407299986Dalits are nothing but dirthatenotgivenTrue0.95793dynabench entry1traincagnluiznmnothate0
407309987Mike's new bird is a stunner, he likes a piece...hatenotgivenTrue0.99439dynabench entry1traingnzuctwed3nothate0
407319988Dalits are worth of nothinghatenotgivenTrue0.98205dynabench entry1traincagnluiznmnothate0
407339990we should forcibly remove all the dalits from ...hatenotgivenFalse0.09661dynabench entry1traincagnluiznmhate1
407349991we should forcibly remove all the dalits from ...hatenotgivenTrue0.87609dynabench entry1traincagnluiznmnothate0
407369995we should forcibly remove all the foreigners f...hatenotgivenTrue0.86945dynabench entry1traincagnluiznmnothate0
407379996we should forcibly remove all the immigrants f...hatenotgivenTrue0.50039dynabench entry1traincagnluiznmnothate0
407389997dalits are unworthy of the Gods lovehatenotgivenTrue0.97652dynabench entry1traincagnluiznmnothate0
407399998dalits are worthlesshatenotgivenTrue0.94326dynabench entry1traincagnluiznmnothate0
407409999dalits are deserves to be treated as lowlifehatenotgivenTrue0.94324dynabench entry1traincagnluiznmnothate0
\n", + "
" + ], + "text/plain": [ + " id text label \\\n", + "40729 9986 Dalits are nothing but dirt hate \n", + "40730 9987 Mike's new bird is a stunner, he likes a piece... hate \n", + "40731 9988 Dalits are worth of nothing hate \n", + "40733 9990 we should forcibly remove all the dalits from ... hate \n", + "40734 9991 we should forcibly remove all the dalits from ... hate \n", + "40736 9995 we should forcibly remove all the foreigners f... hate \n", + "40737 9996 we should forcibly remove all the immigrants f... hate \n", + "40738 9997 dalits are unworthy of the Gods love hate \n", + "40739 9998 dalits are worthless hate \n", + "40740 9999 dalits are deserves to be treated as lowlife hate \n", + "\n", + " type model_wrong db.model_preds status round split \\\n", + "40729 notgiven True 0.95793 dynabench entry 1 train \n", + "40730 notgiven True 0.99439 dynabench entry 1 train \n", + "40731 notgiven True 0.98205 dynabench entry 1 train \n", + "40733 notgiven False 0.09661 dynabench entry 1 train \n", + "40734 notgiven True 0.87609 dynabench entry 1 train \n", + "40736 notgiven True 0.86945 dynabench entry 1 train \n", + "40737 notgiven True 0.50039 dynabench entry 1 train \n", + "40738 notgiven True 0.97652 dynabench entry 1 train \n", + "40739 notgiven True 0.94326 dynabench entry 1 train \n", + "40740 notgiven True 0.94324 dynabench entry 1 train \n", + "\n", + " annotator new_label is_hate \n", + "40729 cagnluiznm nothate 0 \n", + "40730 gnzuctwed3 nothate 0 \n", + "40731 cagnluiznm nothate 0 \n", + "40733 cagnluiznm hate 1 \n", + "40734 cagnluiznm nothate 0 \n", + "40736 cagnluiznm nothate 0 \n", + "40737 cagnluiznm nothate 0 \n", + "40738 cagnluiznm nothate 0 \n", + "40739 cagnluiznm nothate 0 \n", + "40740 cagnluiznm nothate 0 " + ] + }, + "execution_count": 112, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "train_data.tail(10)" + ] + }, + { + "cell_type": "code", + "execution_count": 113, + "id": "5dafbbfb", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "+ve : 46.133489245161094\n", + "-ve : 53.866510754838906\n", + "total length : 32497\n", + "+ve length : 29984\n" + ] + } + ], + "source": [ + "print(\"+ve : {}\".format((len(train_data[train_data.is_hate==1])/len(train_data))*100))\n", + "print(\"-ve : {}\".format((len(train_data[train_data.is_hate==0])/len(train_data))*100))\n", + "print(\"total length : {}\".format(len(train_data)))\n", + "print(\"+ve length : \",2*len(train_data[train_data.is_hate==1]))" + ] + }, + { + "cell_type": "code", + "execution_count": 116, + "id": "ba200619", + "metadata": {}, + "outputs": [], + "source": [ + "train=train_data[[\"text\",\"is_hate\"]]" + ] + }, + { + "cell_type": "code", + "execution_count": 117, + "id": "bc186bd7", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(32497, 2)" + ] + }, + "execution_count": 117, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "train.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 118, + "id": "97e285e7", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
textis_hate
1It should be legal for a husband to rape his wife0
3dalits are lowlives0
5I don't work this hard so that those immigrant...0
6I don't work this hard so that those migrants ...0
7I don't work this hard so that those foreigner...0
8I don't work this hard so that those Hispanics...0
10I don't work this hard so that all those pakis...1
11I don't work this hard so that all those musli...1
12foreigners are a burden to our society0
13immigrants are a burden to our society0
\n", + "
" + ], + "text/plain": [ + " text is_hate\n", + "1 It should be legal for a husband to rape his wife 0\n", + "3 dalits are lowlives 0\n", + "5 I don't work this hard so that those immigrant... 0\n", + "6 I don't work this hard so that those migrants ... 0\n", + "7 I don't work this hard so that those foreigner... 0\n", + "8 I don't work this hard so that those Hispanics... 0\n", + "10 I don't work this hard so that all those pakis... 1\n", + "11 I don't work this hard so that all those musli... 1\n", + "12 foreigners are a burden to our society 0\n", + "13 immigrants are a burden to our society 0" + ] + }, + "execution_count": 118, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "train.head(10)" + ] + }, + { + "cell_type": "code", + "execution_count": 119, + "id": "375b04fa", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
textis_hate
40729Dalits are nothing but dirt0
40730Mike's new bird is a stunner, he likes a piece...0
40731Dalits are worth of nothing0
40733we should forcibly remove all the dalits from ...1
40734we should forcibly remove all the dalits from ...0
40736we should forcibly remove all the foreigners f...0
40737we should forcibly remove all the immigrants f...0
40738dalits are unworthy of the Gods love0
40739dalits are worthless0
40740dalits are deserves to be treated as lowlife0
\n", + "
" + ], + "text/plain": [ + " text is_hate\n", + "40729 Dalits are nothing but dirt 0\n", + "40730 Mike's new bird is a stunner, he likes a piece... 0\n", + "40731 Dalits are worth of nothing 0\n", + "40733 we should forcibly remove all the dalits from ... 1\n", + "40734 we should forcibly remove all the dalits from ... 0\n", + "40736 we should forcibly remove all the foreigners f... 0\n", + "40737 we should forcibly remove all the immigrants f... 0\n", + "40738 dalits are unworthy of the Gods love 0\n", + "40739 dalits are worthless 0\n", + "40740 dalits are deserves to be treated as lowlife 0" + ] + }, + "execution_count": 119, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "train.tail(10)" + ] + }, + { + "cell_type": "markdown", + "id": "46f58418", + "metadata": {}, + "source": [ + " # Data Cleaning" + ] + }, + { + "cell_type": "code", + "execution_count": 121, + "id": "ca60713f", + "metadata": {}, + "outputs": [], + "source": [ + "def clean_text(df, text_field):\n", + " df[text_field] = df[text_field].str.lower()\n", + " df[text_field] = df[text_field].apply(lambda elem: re.sub(r\"(@[A-Za-z0-9]+)|([^0-9A-Za-z \\t])|(\\w+:\\/\\/\\S+)|^rt|http.+?\", \"\", elem)) \n", + " return df" + ] + }, + { + "cell_type": "code", + "execution_count": 122, + "id": "89b76271", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\Asus\\AppData\\Local\\Temp/ipykernel_9288/4061539463.py:2: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame.\n", + "Try using .loc[row_indexer,col_indexer] = value instead\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df[text_field] = df[text_field].str.lower()\n", + "C:\\Users\\Asus\\AppData\\Local\\Temp/ipykernel_9288/4061539463.py:3: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame.\n", + "Try using .loc[row_indexer,col_indexer] = value instead\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df[text_field] = df[text_field].apply(lambda elem: re.sub(r\"(@[A-Za-z0-9]+)|([^0-9A-Za-z \\t])|(\\w+:\\/\\/\\S+)|^rt|http.+?\", \"\", elem))\n" + ] + } + ], + "source": [ + "train=clean_text(train,\"text\")" + ] + }, + { + "cell_type": "code", + "execution_count": 124, + "id": "56db6c70", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
textis_hate
1it should be legal for a husband to rape his wife0
3dalits are lowlives0
5i dont work this hard so that those immigrants...0
6i dont work this hard so that those migrants c...0
7i dont work this hard so that those foreigners...0
8i dont work this hard so that those hispanics ...0
10i dont work this hard so that all those pakis ...1
11i dont work this hard so that all those muslim...1
12foreigners are a burden to our society0
13immigrants are a burden to our society0
\n", + "
" + ], + "text/plain": [ + " text is_hate\n", + "1 it should be legal for a husband to rape his wife 0\n", + "3 dalits are lowlives 0\n", + "5 i dont work this hard so that those immigrants... 0\n", + "6 i dont work this hard so that those migrants c... 0\n", + "7 i dont work this hard so that those foreigners... 0\n", + "8 i dont work this hard so that those hispanics ... 0\n", + "10 i dont work this hard so that all those pakis ... 1\n", + "11 i dont work this hard so that all those muslim... 1\n", + "12 foreigners are a burden to our society 0\n", + "13 immigrants are a burden to our society 0" + ] + }, + "execution_count": 124, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "train.head(10)" + ] + }, + { + "cell_type": "markdown", + "id": "074ca3cd", + "metadata": {}, + "source": [ + "## Saving clean dataframe to csv" + ] + }, + { + "cell_type": "code", + "execution_count": 125, + "id": "e3d411dd", + "metadata": {}, + "outputs": [], + "source": [ + "train.to_csv(\"train.csv\",index=False)" + ] + }, + { + "cell_type": "code", + "execution_count": 127, + "id": "71da9af4", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Collecting wordcloud\n", + " Using cached wordcloud-1.8.1.tar.gz (220 kB)\n", + " Preparing metadata (setup.py): started\n", + " Preparing metadata (setup.py): finished with status 'done'\n", + "Requirement already satisfied: numpy>=1.6.1 in c:\\users\\asus\\appdata\\local\\programs\\python\\python39\\lib\\site-packages (from wordcloud) (1.22.0)\n", + "Requirement already satisfied: pillow in c:\\users\\asus\\appdata\\local\\programs\\python\\python39\\lib\\site-packages (from wordcloud) (9.0.0)\n", + "Requirement already satisfied: matplotlib in c:\\users\\asus\\appdata\\local\\programs\\python\\python39\\lib\\site-packages (from wordcloud) (3.5.1)\n", + "Requirement already satisfied: packaging>=20.0 in c:\\users\\asus\\appdata\\local\\programs\\python\\python39\\lib\\site-packages (from matplotlib->wordcloud) (21.3)\n", + "Requirement already satisfied: cycler>=0.10 in c:\\users\\asus\\appdata\\local\\programs\\python\\python39\\lib\\site-packages (from matplotlib->wordcloud) (0.11.0)\n", + "Requirement already satisfied: fonttools>=4.22.0 in c:\\users\\asus\\appdata\\local\\programs\\python\\python39\\lib\\site-packages (from matplotlib->wordcloud) (4.28.5)\n", + "Requirement already satisfied: kiwisolver>=1.0.1 in c:\\users\\asus\\appdata\\local\\programs\\python\\python39\\lib\\site-packages (from matplotlib->wordcloud) (1.3.2)\n", + "Requirement already satisfied: pyparsing>=2.2.1 in c:\\users\\asus\\appdata\\local\\programs\\python\\python39\\lib\\site-packages (from matplotlib->wordcloud) (3.0.6)\n", + "Requirement already satisfied: python-dateutil>=2.7 in c:\\users\\asus\\appdata\\local\\programs\\python\\python39\\lib\\site-packages (from matplotlib->wordcloud) (2.8.2)\n", + "Requirement already satisfied: six>=1.5 in c:\\users\\asus\\appdata\\local\\programs\\python\\python39\\lib\\site-packages (from python-dateutil>=2.7->matplotlib->wordcloud) (1.16.0)\n", + "Building wheels for collected packages: wordcloud\n", + " Building wheel for wordcloud (setup.py): started\n", + " Building wheel for wordcloud (setup.py): finished with status 'error'\n", + " Running setup.py clean for wordcloud\n", + "Failed to build wordcloud\n", + "Installing collected packages: wordcloud\n", + " Running setup.py install for wordcloud: started\n", + " Running setup.py install for wordcloud: finished with status 'error'\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " ERROR: Command errored out with exit status 1:\n", + " command: 'C:\\Users\\Asus\\AppData\\Local\\Programs\\Python\\Python39\\python.exe' -u -c 'import io, os, sys, setuptools, tokenize; sys.argv[0] = '\"'\"'C:\\\\Users\\\\Asus\\\\AppData\\\\Local\\\\Temp\\\\pip-install-3hpop6op\\\\wordcloud_a834308d97e4444a87e6dbccb91f9a51\\\\setup.py'\"'\"'; __file__='\"'\"'C:\\\\Users\\\\Asus\\\\AppData\\\\Local\\\\Temp\\\\pip-install-3hpop6op\\\\wordcloud_a834308d97e4444a87e6dbccb91f9a51\\\\setup.py'\"'\"';f = getattr(tokenize, '\"'\"'open'\"'\"', open)(__file__) if os.path.exists(__file__) else io.StringIO('\"'\"'from setuptools import setup; setup()'\"'\"');code = f.read().replace('\"'\"'\\r\\n'\"'\"', '\"'\"'\\n'\"'\"');f.close();exec(compile(code, __file__, '\"'\"'exec'\"'\"'))' bdist_wheel -d 'C:\\Users\\Asus\\AppData\\Local\\Temp\\pip-wheel-xhzwpskt'\n", + " cwd: C:\\Users\\Asus\\AppData\\Local\\Temp\\pip-install-3hpop6op\\wordcloud_a834308d97e4444a87e6dbccb91f9a51\\\n", + " Complete output (65 lines):\n", + " running bdist_wheel\n", + " running build\n", + " running build_py\n", + " creating build\n", + " creating build\\lib.win-amd64-3.9\n", + " creating build\\lib.win-amd64-3.9\\wordcloud\n", + " copying wordcloud\\color_from_image.py -> build\\lib.win-amd64-3.9\\wordcloud\n", + " copying wordcloud\\tokenization.py -> build\\lib.win-amd64-3.9\\wordcloud\n", + " copying wordcloud\\wordcloud.py -> build\\lib.win-amd64-3.9\\wordcloud\n", + " copying wordcloud\\wordcloud_cli.py -> build\\lib.win-amd64-3.9\\wordcloud\n", + " copying wordcloud\\_version.py -> build\\lib.win-amd64-3.9\\wordcloud\n", + " copying wordcloud\\__init__.py -> build\\lib.win-amd64-3.9\\wordcloud\n", + " copying wordcloud\\__main__.py -> build\\lib.win-amd64-3.9\\wordcloud\n", + " copying wordcloud\\stopwords -> build\\lib.win-amd64-3.9\\wordcloud\n", + " copying wordcloud\\DroidSansMono.ttf -> build\\lib.win-amd64-3.9\\wordcloud\n", + " UPDATING build\\lib.win-amd64-3.9\\wordcloud/_version.py\n", + " set build\\lib.win-amd64-3.9\\wordcloud/_version.py to '1.8.1'\n", + " running build_ext\n", + " Traceback (most recent call last):\n", + " File \"\", line 1, in \n", + " File \"C:\\Users\\Asus\\AppData\\Local\\Temp\\pip-install-3hpop6op\\wordcloud_a834308d97e4444a87e6dbccb91f9a51\\setup.py\", line 9, in \n", + " setup(\n", + " File \"C:\\Users\\Asus\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\setuptools\\__init__.py\", line 155, in setup\n", + " return distutils.core.setup(**attrs)\n", + " File \"C:\\Users\\Asus\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\setuptools\\_distutils\\core.py\", line 148, in setup\n", + " return run_commands(dist)\n", + " File \"C:\\Users\\Asus\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\setuptools\\_distutils\\core.py\", line 163, in run_commands\n", + " dist.run_commands()\n", + " File \"C:\\Users\\Asus\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\setuptools\\_distutils\\dist.py\", line 967, in run_commands\n", + " self.run_command(cmd)\n", + " File \"C:\\Users\\Asus\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\setuptools\\_distutils\\dist.py\", line 986, in run_command\n", + " cmd_obj.run()\n", + " File \"C:\\Users\\Asus\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\wheel\\bdist_wheel.py\", line 299, in run\n", + " self.run_command('build')\n", + " File \"C:\\Users\\Asus\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\setuptools\\_distutils\\cmd.py\", line 313, in run_command\n", + " self.distribution.run_command(command)\n", + " File \"C:\\Users\\Asus\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\setuptools\\_distutils\\dist.py\", line 986, in run_command\n", + " cmd_obj.run()\n", + " File \"C:\\Users\\Asus\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\setuptools\\_distutils\\command\\build.py\", line 135, in run\n", + " self.run_command(cmd_name)\n", + " File \"C:\\Users\\Asus\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\setuptools\\_distutils\\cmd.py\", line 313, in run_command\n", + " self.distribution.run_command(command)\n", + " File \"C:\\Users\\Asus\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\setuptools\\_distutils\\dist.py\", line 986, in run_command\n", + " cmd_obj.run()\n", + " File \"C:\\Users\\Asus\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\setuptools\\command\\build_ext.py\", line 79, in run\n", + " _build_ext.run(self)\n", + " File \"C:\\Users\\Asus\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\setuptools\\_distutils\\command\\build_ext.py\", line 339, in run\n", + " self.build_extensions()\n", + " File \"C:\\Users\\Asus\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\setuptools\\_distutils\\command\\build_ext.py\", line 448, in build_extensions\n", + " self._build_extensions_serial()\n", + " File \"C:\\Users\\Asus\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\setuptools\\_distutils\\command\\build_ext.py\", line 473, in _build_extensions_serial\n", + " self.build_extension(ext)\n", + " File \"C:\\Users\\Asus\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\setuptools\\command\\build_ext.py\", line 202, in build_extension\n", + " _build_ext.build_extension(self, ext)\n", + " File \"C:\\Users\\Asus\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\setuptools\\_distutils\\command\\build_ext.py\", line 528, in build_extension\n", + " objects = self.compiler.compile(sources,\n", + " File \"C:\\Users\\Asus\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\setuptools\\_distutils\\_msvccompiler.py\", line 327, in compile\n", + " self.initialize()\n", + " File \"C:\\Users\\Asus\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\setuptools\\_distutils\\_msvccompiler.py\", line 224, in initialize\n", + " vc_env = _get_vc_env(plat_spec)\n", + " File \"C:\\Users\\Asus\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\setuptools\\msvc.py\", line 316, in msvc14_get_vc_env\n", + " return _msvc14_get_vc_env(plat_spec)\n", + " File \"C:\\Users\\Asus\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\setuptools\\msvc.py\", line 270, in _msvc14_get_vc_env\n", + " raise distutils.errors.DistutilsPlatformError(\n", + " setuptools._distutils.errors.DistutilsPlatformError: Microsoft Visual C++ 14.0 or greater is required. Get it with \"Microsoft C++ Build Tools\": https://visualstudio.microsoft.com/visual-cpp-build-tools/\n", + " ----------------------------------------\n", + " ERROR: Failed building wheel for wordcloud\n", + " ERROR: Command errored out with exit status 1:\n", + " command: 'C:\\Users\\Asus\\AppData\\Local\\Programs\\Python\\Python39\\python.exe' -u -c 'import io, os, sys, setuptools, tokenize; sys.argv[0] = '\"'\"'C:\\\\Users\\\\Asus\\\\AppData\\\\Local\\\\Temp\\\\pip-install-3hpop6op\\\\wordcloud_a834308d97e4444a87e6dbccb91f9a51\\\\setup.py'\"'\"'; __file__='\"'\"'C:\\\\Users\\\\Asus\\\\AppData\\\\Local\\\\Temp\\\\pip-install-3hpop6op\\\\wordcloud_a834308d97e4444a87e6dbccb91f9a51\\\\setup.py'\"'\"';f = getattr(tokenize, '\"'\"'open'\"'\"', open)(__file__) if os.path.exists(__file__) else io.StringIO('\"'\"'from setuptools import setup; setup()'\"'\"');code = f.read().replace('\"'\"'\\r\\n'\"'\"', '\"'\"'\\n'\"'\"');f.close();exec(compile(code, __file__, '\"'\"'exec'\"'\"'))' install --record 'C:\\Users\\Asus\\AppData\\Local\\Temp\\pip-record-1unxpl8k\\install-record.txt' --single-version-externally-managed --compile --install-headers 'C:\\Users\\Asus\\AppData\\Local\\Programs\\Python\\Python39\\Include\\wordcloud'\n", + " cwd: C:\\Users\\Asus\\AppData\\Local\\Temp\\pip-install-3hpop6op\\wordcloud_a834308d97e4444a87e6dbccb91f9a51\\\n", + " Complete output (21 lines):\n", + " running install\n", + " C:\\Users\\Asus\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\setuptools\\command\\install.py:34: SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools.\n", + " warnings.warn(\n", + " running build\n", + " running build_py\n", + " creating build\n", + " creating build\\lib.win-amd64-3.9\n", + " creating build\\lib.win-amd64-3.9\\wordcloud\n", + " copying wordcloud\\color_from_image.py -> build\\lib.win-amd64-3.9\\wordcloud\n", + " copying wordcloud\\tokenization.py -> build\\lib.win-amd64-3.9\\wordcloud\n", + " copying wordcloud\\wordcloud.py -> build\\lib.win-amd64-3.9\\wordcloud\n", + " copying wordcloud\\wordcloud_cli.py -> build\\lib.win-amd64-3.9\\wordcloud\n", + " copying wordcloud\\_version.py -> build\\lib.win-amd64-3.9\\wordcloud\n", + " copying wordcloud\\__init__.py -> build\\lib.win-amd64-3.9\\wordcloud\n", + " copying wordcloud\\__main__.py -> build\\lib.win-amd64-3.9\\wordcloud\n", + " copying wordcloud\\stopwords -> build\\lib.win-amd64-3.9\\wordcloud\n", + " copying wordcloud\\DroidSansMono.ttf -> build\\lib.win-amd64-3.9\\wordcloud\n", + " UPDATING build\\lib.win-amd64-3.9\\wordcloud/_version.py\n", + " set build\\lib.win-amd64-3.9\\wordcloud/_version.py to '1.8.1'\n", + " running build_ext\n", + " error: Microsoft Visual C++ 14.0 or greater is required. Get it with \"Microsoft C++ Build Tools\": https://visualstudio.microsoft.com/visual-cpp-build-tools/\n", + " ----------------------------------------\n", + "ERROR: Command errored out with exit status 1: 'C:\\Users\\Asus\\AppData\\Local\\Programs\\Python\\Python39\\python.exe' -u -c 'import io, os, sys, setuptools, tokenize; sys.argv[0] = '\"'\"'C:\\\\Users\\\\Asus\\\\AppData\\\\Local\\\\Temp\\\\pip-install-3hpop6op\\\\wordcloud_a834308d97e4444a87e6dbccb91f9a51\\\\setup.py'\"'\"'; __file__='\"'\"'C:\\\\Users\\\\Asus\\\\AppData\\\\Local\\\\Temp\\\\pip-install-3hpop6op\\\\wordcloud_a834308d97e4444a87e6dbccb91f9a51\\\\setup.py'\"'\"';f = getattr(tokenize, '\"'\"'open'\"'\"', open)(__file__) if os.path.exists(__file__) else io.StringIO('\"'\"'from setuptools import setup; setup()'\"'\"');code = f.read().replace('\"'\"'\\r\\n'\"'\"', '\"'\"'\\n'\"'\"');f.close();exec(compile(code, __file__, '\"'\"'exec'\"'\"'))' install --record 'C:\\Users\\Asus\\AppData\\Local\\Temp\\pip-record-1unxpl8k\\install-record.txt' --single-version-externally-managed --compile --install-headers 'C:\\Users\\Asus\\AppData\\Local\\Programs\\Python\\Python39\\Include\\wordcloud' Check the logs for full command output.\n" + ] + } + ], + "source": [ + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 131, + "id": "1b93483e", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAA4sAAADpCAYAAACNx6KvAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/YYfK9AAAACXBIWXMAAAsTAAALEwEAmpwYAAEAAElEQVR4nOz9d4Bl113YgX/O7a+36WV3Zvtqu3qXbFm25YJtsE0zYEIIJqElEH6EQBoh4ZcQfiQQhxIgBIIL7sZykSzLVl1JK6229zK9vd5vO78/7tvZqbuzq5Vkw/vYq5l599xzzz3v3nPO93ybkFLSpk2bNm3atGnTpk2bNm3aLER5sxvQpk2bNm3atGnTpk2bNm2++2gLi23atGnTpk2bNm3atGnTZhltYbFNmzZt2rRp06ZNmzZt2iyjLSy2adOmTZs2bdq0adOmTZtltIXFNm3atGnTpk2bNm3atGmzjLaw2KZNmzZt2rRp06ZNmzZtltEWFtu0adOmTZs2bdq0adOmzTLawmKbG4oQ4oIQYkYIEVnw2T8WQjz5Ol3vSSHEP17y2YNCiLE1nr/msleoIy6E+H0hxIgQoiKEONv6u+O11PtmIoQYEkJIIYT2ZrelTZs2bdq8ObTm9Lct+eyjQoin13j+msteoY5eIcSfCSEmhRBlIcQJIcS/X7jO+F7jRqw92rR5o2gLi21eD1TgF9/sRrwRCCEM4JvADuCdQBy4C8gCt7+JTWvTpk2bNm2+pxFCpIHngBBwl5QyBjwMJIGNb2LT2rT5B0NbWGzzevBfgV8RQiRXOiiEuFsI8aIQotj6efeCY08KIX5LCPFMawfxG69VQyeE+EkhxPFWfeeEED/T+jwCfBXoa2kEK0KIPiGEIoT4tZaGMCuE+HRrwlqJHwfWAR+QUh6TUvpSyhkp5W9JKR9tXWd7674KQoijQojvW9C2/yOE+LgQ4qut6z8jhOhpaSbzrR3UfQvKXxBC/EshxCEhRLW129rdOr8shHhcCJFaUP5OIcSzrWu/KoR4cI19/Z3Wz0KrXXcJITYJIb7d+t7mhBCfei3fS5s2bdq0+d5nwXxZFkIcE0J8oPX5duCPgLta80ih9bkphPjdljXOtBDij4QQoVWq/xdAGfiIlPICgJRyVEr5i1LKQ636rram+I+tebAihPiyECIjhPh/QohSq/zQgvJSCPFPhRCnW/fzW0KIja3zS631gLGg/HuEEAdbc+yzQojdC45dEEL8Smu+LgohPiWEsK6w9rhdCPFS6zrTQojfuxHfT5s2r5W2sNjm9eAl4EngV5YeaAldXwH+B5ABfg/4ihAis6DYjwA/CXQBxkr1XCMzwHsItH4/Cfz/hBA3SymrwCPAhJQy2vo3Afw88H7gAaAPyAP/c5W63wZ8TUpZWemgEEIHvgx8o3U/Pw/8PyHE1gXFPgz8BtABNAl2UV9u/f0Zgj5ayA8Q7KxuAd5LMOn8OtBJ8E7/Quva/QR9/R+BNEE/flYI0bmgrtX6+v7Wz2SrX54Dfqt1HylgAPiDVfqkTZs2bdr8w+EscB+QAP498NdCiF4p5XHgY8BzrXkk2Sr/OwTz115gE9AP/JtV6n4b8Dkppb/SwTWuKX4I+LHWdTYSzLF/QTAvHgf+7ZJq3wHcAtwJ/CrwJ8BHgEFgJ/DDrWvvA/4c+JnWtf8Y+JIQwlxQ14cJrI6Ggd3AR6+w9vjvwH+XUsZb7fz0Kn3Sps0bSltYbPN68W+An18imAC8GzgtpfwrKaUrpfwEcIJA6LnEX0gpT0kp6wSD5d6rXOt/tHb1Cq2dy79beFBK+RUp5VkZ8G0Cgee+K9T3MeBfSynHpJRN4N8BHxQr++9lgMkr1HUnEAV+R0ppSymfaLXvhxeU+byU8oCUsgF8HmhIKf+vlNIDPgXsW1LnH0gpp6WU48BTwH4p5SsLzr9U/iPAo1LKR1saz8cIBPl3LajrWvraAdYDfVLKhpTyNfmhtGnTpk2b7wm+sGSO/fjCg1LKv5VSTrTmmU8Bp1nFDUMIIYB/AvxzKWVOSlkG/hOBQLcSV5tj17qmOCulLBJsrp6VUj4upXSBv2X5HPtfpJQlKeVR4AjwDSnluQXnXyr/T4A/llLul1J6Usq/JNjwvXNBXf+j1Tc5go3jvVe4FwfYJITokFJWpJTPX6FsmzZvGG1hsc3rgpTyCIFQ9GtLDvUBF5d8dpFgx+8SUwt+rxEIW7RMVS6ZbPz6gjK/IKVMXvpHoEWcRwjxiBDieSFErjXRvYtAa7ca64HPL5gYjwMe0L1C2SzQe4W6+oDRJbuiS+93esHv9RX+ji6pc63l1wMfWjLJ37ukvSv29Sr8KiCAF0RgTvuPrlC2TZs2bdr8/eD9S+bYf7rwoBDixxeYYhYItG+rzbGdQBg4sKD811qfr8Ra5tirrSlezzn2l5fMsYOtNl3iWubYnyLQuJ5omce+5wpl27R5w2gLi21eT/4t8NMsHrQnCAbYhawDxq9WmZTyYwtMNv7TWhrQMgf5LPC7QHdronuUQOgBkCucNgo8snBylFJaLU3eUh4H3iFWj8o2AQwKIRa+a2u63xvAKPBXS+4jIqX8nTWcu6xfpJRTUsqfllL2EZjdfFwIselGN7pNmzZt2nxvIIRYD/wp8HNApjXHHmH1OXaOQODasWBeSkgpVxOiHgc+sGQOXch1ryluAKPAby+ZY8Mt7ebVWGmOPS2l/GECt5D/L/CZK6wt2rR5w2gLi21eN6SUZwjMKH9hwcePAluEED8ihNCEED8I3MQS09EbiAGYwCzgCiEeAd6+4Pg0kBFCJBZ89kfAb7cmQYQQnUKI961S/18RTBifFUJsE0FwnIwQ4teFEO8C9hPsJv6qEEIXQYCZ9wKfvHG3uCp/DbxXCPEOIYTacqx/UAgxsIZzZwEf2HDpAyHEhxacmyeY7Fb0I2nTpk2bNv8giBDMBbMQBJQj0CxeYhoYuBQUpmVl86cEsQO6Wuf0CyHesUr9v0cQb+AvF8zJ/UKI32sFk3mj1xQL+VPgY0KIO0RARAjxbiFEbA3nLlt7CCE+IoTobPVRofVxe45t86bTFhbbvN78B4LJBAApZZbATPSXCcxLfhV4j5Ry7vW4eMsf4hcI/PHyBAFdvrTg+AngE8C5lhlJH4GT+ZeAbwghysDzwB2r1N8kcMA/ATwGlIAXCExw9kspbQLh8BGCHdWPAz/euu7ripRyFHgfQfCbWQKh9l+yhvdeSlkDfht4ptUvdwK3AfuFEBWC/vlFKeW516v9bdq0adPmuxsp5THgvxEEjZkGdgHPLCjyBHAUmBJCXJrn/z/AGeB5IUSJQHu4MOjbwvpzwN0E/nz7W3PyN4EicOaNXlMsadtLBNZTf0iwvjgDfHSN56609ngncLQ1x/534Ida8QTatHlTEVKuZIXXpk2bNm3atGnTpk2bNm3+IdPWLLZp06ZNmzZt2rRp06ZNm2W0hcU2bdq0adOmTZs2bdq0abOMtrDYpk2bNm3atGnTpk2bNm2W0RYW27Rp06ZNmzZt2rRp06bNMtrCYps2bdq0adOmTZs2bdq0WYZ2lePtUKlt2rRp0+ZGIq5epM2VEEK05+Y2bdq0aXPDkFKuOjdfTVj8nsLzfaZqZUYqBTYmMnRYEWbrFc4Us2xMZOgJryVP6spIKTmWn2Z7qhtFvP5rnalcGVNXScXCr/u12rRpAzPlCv/vwCGOTE7xe+9/F4mQ9WY3iX/8qc9z59Ag379rByFN4+c+/3fUbYdfe+h+dvf18OcvHGAkX+SDe3aws6ebs3NZPnnwMI+fOkvVttnR082P3bKXezesx1BVRvIFPnf4KNOlCg3P48xcjg/s2o4qBH914FX29ffyz+65k6F0Ett1OTI9wydfOcRLoxOUGg26YlHetmkjP3n7PlLhYGwaKxT5rceeZN9ALzXb4YtHjlNzHHb0dPFL99/N3r7eN7kX/+EgFJA3KoW3EME/31/++fdoyi1joANnuoB03Dfkemo8jNA13Gzpdb2OpcboNoe4WDuMqUTosTYyUjuMXGG/v9MYIueM4cnr74NIXOGh9yd42/cn6F1vUMp5fOvLRR77TJHpMYdoXOGH/lkHgxsMPvE/5zhxsDF/brpL4/0/mWLDdos//y+znDvWwDAFO24L8f3/KMOW3RaeB68+V+ULf5Hj5KuXz+0fNvj53+rmma+VGb/g8JFf7GD9ZpNy0eOrnyrw6f+VZXCDwe9/fpi/+K8zfPmv8ovafdOtIf79nw7yP//NJM98vYJjSwY3GnzoZzLcfE+EUFRl5HSTz/9FlhefrFKvBs/+j/x8B72DBkdfqrHvngi77wzjeZJXn6vx+b/IcfZoY/6VCMcUHnhPnLd/MMHAcNC27zxa4hufLjBx0VlzH2vJMNb6TpxsheZY9qrlhamhRSycXAUlZBDdOUjj4hz2TPGK5+m93TjTsxiD/dhjE+gdaZy5HGo8it7XgzMxjVcsoiYTqNEoXrWKlkrizszhlStoXZ3onRncfAF3Zg40DcU00DIppOfhTs/i1xtXbMN1oSgooRBCVfBK5Rtf/xtEeHMvQlepnZ4ktKEbLRZC+pLYniEao3M0xrIohkb9wgxaIoy1rhN7ukDi9s1Ix6N6fAy3XCf1wA68SoPCcyexJ/NXv/A1csPMUG2vRsGewPZrVJwctl+n6uZoeBUcv4ErbWpuAddv3qhLLkMRAlVRyDarHMpOIgBVKBTtOq/Mjb/m+v/q5Mv4b9AkeeD0GKfHX/ecsm2+S3D9Jo+O/XNemPtjqu7somMjtXH+5Nz/4+cO/Dr/+MVf5r+f+t+cq1x8XdpRcip8cfzr/OaR/0rZrb4u1/huRQK+7+P5Ky2x3hwGkglmK1XqjsP5fB7fl1wsFCk2gnF0vFgiYugkLIuz2Ry/9+1nODI5zU/dcQv/8V0P0xWN8IfPPM9Xjp3El8F9zVXrnM3l2dKZYWtnhj99/iXOZHN8aPdOZqtVHjt1GgBFUfB9SVg3+Of3381/e+8jvG3zRr587AR/uv/AfBslkKvV+esDBzk6Nc1vPPwg/+Gdb6PatPnVL3+datN+E3ruHwaRlEEkbaBbKpGUwbYHugnFdcyIRnowjBXTiWRMNFMl2WthRtQ163UV0yK0fhi9swslFEKxLJRQCGtgHUZ3L8IwUWNx1Fh8/rgaDqNGY6B8d3q4xO/bjRoLXfN51sY+tK7kNZ9nru8mvHM46I8rbTJf7TggUIiqaQZC24hrGaJaigFrG3Gtg6ZXhZZSoOlXEa3fg/LbSek9JLRu+qytxPQM4jUs/ayQ4CO/2Mn7fiLFiYN1Pv7vpvnOoyXue2ecD/9Mhu4BnUrJ58KpJpGEyqadi/t7YNhg000hxs/bXDjZQNMFdzwU5ef+fQ8A//s/z/CJP5wj1aHxc/+hly27L2/aCSAcU7n7HXE+8osdfPsrJX7v1yb5wl/kGT1rIyVMTzgc2l/lkR9MLmv7W96boFH1efW5Oo4t6R82+I2PDzC81eQzf5rjD35jktGzTT72b7p52/cniMSCflIU2LrP4iO/1EEx7/Invz3NV/4mz5bdFj/wU2nWbTIAMEOCD/9Mhg/+4zTnTzT5X/9hmie+WOT2B6P88M910rfeWFMfa6kosT3DGB1x/Noaxk8hUC0DLRFs4EnPRygK8Vs2XPXU6D13oPd2k/rge1GiEcK37cMcWkf8oQdQTJPEIw+h93QTueMWjKF1pH/gvYT37MTasQ01lUBLJ0HTiD14D+bGIYzebuJvfxBj3QDhvbuxtm8FVV3lRlX03m6s7VvROjsQpomSiCMsC2GZqKkkSjiEmogH5bZsQk3GQVHQu7uI3ncXkVv3YWwYWlO/Xi99m+9HN6NXLKNoBkYogaLq11S3k6ugxkLE9g2jJyJY6zvRIiazX9iPM1cieddWtGQERddQwyZmZxwtGsKv20x/9jnsmSLRXeuxpwq4xRrph3a9lltdlRunWRQKOXuM6cYZVKHhSw9FqHjSwVAilJxp8vY4W+L30WNtRhGv/dIN1+Vgdpwnx8/RE47xjsEthHWDhBGi4QU7OJamkTRD5Jt1XN/nXCnLFy8cI6lb3NO7nhOFWQaiCSarZTpCEfojCb5w/jBIwbvWbyNthvnjY8/TGYriLVlCFip1Pvf0YbLFKo/cvo3+jgSPv3yG2WKZDb0Z9mzo48lXz5ItVbln5zD1pk1nIspgV4pnj16g3rSpNR2mcmU29mXYvaGPV86MM5krUak16dg5/Jr7qM33Dr50kNJb9Jnt2zw6+QQT9Wne0/cwXVYHYTVMp5l5nVoh8aSH67u0rdDffIbTKY5MTVOzHc7O5djcmWG0WGSuWqXUaDJTrrKnr4ekZfHJg4fI1er82K17eXjLJoQQ7Oju4g+efo6nz19kd28Pmqrg+j5bOjP80N7dPH76LKOFEjf397Gjp4uJcomZSrBJoArBvv5edvd2oygKAlifTjJVqnB0amZRO30piRom//ndbycdDuP5PhFd5xe/8BWOz8xy62D/m9B7f//Z+kAX6XVhjn1zmp0P95Ibr7HtwS5OPzNH18Yo6cEITsPDrnuYUZXj35ymWfWuXjHgN+r4jkNocAiQ8xrFS6OC0DSQPmb/IELT8JtNhFBw8lnq58++Xre8GAGxO7ZTPzeJO1Mg9e7bcXMVtI4EeiZO5ZUzNC9Mk3z7zUjXCzR9lkHynbehpWNUXz2HPTZLdO8m9N4U9lSe2rGLRPZswOhNUz82gpMtEbtvJ0JVqR0+T3NkGnO4h9CWAZrnpnBzZfTeNHpHAjdXpnb0Inp3ktCWAYSq4EwXMbt7EbqOk8uiWBZC1RCqivRchFCQvocaidEYHwn6slZbdquq0Eka3YzXTyBQiOkZHGmTNHoou7kVu6fbGqbuVYhpHShCZax+nD5r82vq8pvvj7Dz1hCPfbbIo58oUCl5KAo06z73vDPOjtvCTI8VOXesQX7WZcN2k2RGpZD1UFQY2GgQjiscP1DH92DdRoN73xljctThD35ziuyUAwIunGzws/+uh7d/OMmpQ1Pz17dCCqGIwm99bIzxC4GAuFDZ7diSr32qwL/+wwF23R7m8AtBX5ohwZ0PR3nm62VqrXfg+38qTSgi+J1fmmT0TBPfh2e+XuYX/1Mvj/xQkqMv1Th3PNiYi8VVvvzXeb72qQKFrIsiIBRR2XFrmI5enYunbfbcGWgdv/NomS/8nxzlQtA31ZLPW9+fYO/dYSYuXln4UyIm0Z0DJG7dQGM8h56JoqUjpO7Zhle3qRy6SHhLL1oyjFuo4dsuxedPk3loF43ROernZ5Cej5OvoHfEEKpC+qFd5J8+jl+z6frA7cx84cX5DpO+j7l+kOaps1gb1uNXa5ibhqkfO0nz7AXQdLSODGo4TO3gEdRoGGd8ChG2EIoCvo+WSaGlkghdR7ouzugEzfMX0Xu6AYliGvi1+pIbVQjv3YPR34s9No4SDoMiMAcHcGZmwfcx1g3gTM9gbhhGjUVxpmextm2h9Pi3UEwTxTDwanW4kqWAUAjFOhFCwTBjFGbPgJRE04OYVpxSbgSnEWj+Fc0knhnC9xwquVF83yGWGaJSmMBzLyu6jFCCcKIXz65TLU0CkOndiRFJ0ajMUZo9h9Ncm7bTyZYJbewmtnuIypERGiNzKCEDr24jpURoSmDkoSoIVQVVxbdd3HIdfAmKQDFV7GIVJ1ehempiTde9Vm7Y9l/dK5Kzx7HUOGVnDlONUnGzNLwKM82zSHx6rC3EtA4EK+8yTBRKZCuLB8lqw+a5MyO8MrK8A0xV5aZUN28b2IyuKBzJTSG4vHEqWjt1l37O1iu8MD3Khzfu5m2Dm/n02UNcKOU5NDfFaKXAgdkxnpo4R9qMsC3VxZ8e289XR07wyLqtfP+Gndje4kk2HrF4+y1b2Tncy8unx6nUm4zO5Hjf3Tt5aN9mnj9+kR1D3fzYw7dw6Nwkxy7OUKrb+L7PZK7E6FyRZDTE++/ZSbVh87UXT5CIWLzztq30dyTwl5r/tJlnulTh4OgkY/kijufhen8/+yrXLJJt5tiV2MadmVvYk7yJzbFholrkzW5amzeA4XSSbLVG3XE4m82RiYTZ2tXBXLXKiZlZmp5HdzyGpWucz+ZJhUMMJhPoqoqmKPTGY6xPJpmrVhktXDZHChsGiZBFSNfIRMKkQiFMTcNQVGw3eJdEy1LD0DQ0RUFVFMKGQWc0QrVp4y0Yn0xNZUtnB52RCJqioKsqA8k4vpTMVf9haajfSGpFh9JUk4GdCVBAuhIpIZzS6RiK0qy6FKfq+K6P9EH6a98AUqNRjI5OlJCFYpgITUcxTBRVBSlRDBM9mUbRDdxSCb/eWgxK+QaaqQq0zgSqFWhsjIFO9K4k9vgc2c8/TWTvBuL37aR2bITitw8hHZfobVsRQtA4N0ns9q3oXUn0niTl/ScoPX0EabuosTC1IxepHb1A8+I09niWygsnqL58Gme6QP3oRaoHz6JEQ5ib+pC2S+nZo7ilKvH7d6KYOqWnj1A/N4n0PfxmExAoVgijoxs1EkExLdRIFCR49Tp6MkXq7gdI7LsdoS/XTkh8HN+m39pGTO8goXWhCQOkIKIlielpYmqaiJokqqeJaRlqXgkVlbI7h+036DTXoSkmr8VteMPWQNM3csamlPfwPXAdGL9gowjo6tVQVBg50+TssQZ9Qwabdgbn9AzqbNkVYm7C4ciBYK2X7tLoGTQYOd1kdsLB88BzoZD1mBlzGNpsoi3oDteWjJ6xGT1r47ngt8r7reWZ78HBZ2tMjdo88sPJ+fPueChKPKny5BdKOM3g+dx1W5jTh5vkZ1xcJzjXsSUHn60Siav0rtPRjaCvbFty6tU6uVk3uGcXslMOmhYIsADrNxvoumDkTJNi9nLfTI7Y+J6ke0BfVcl2Cb/apH5mmtLL5ynuP03t7BTN0SyFZ07glmrEbh5Gi4epvHoRoSioIROv2qByZAS9Y4GrVesVlFLSGJkjdd92QsNdyCVrJS+Xx1jXT+3IcUI7tuFl88h6HaGpgETRNaTnBe+05yFdD+l7IMHavBGtq4P6keM0z48gnUBJI10X6Xotm3ixotZcTSZAQOPEKWoHD2OPjgYHLmnZhZj/3a9UqB8/RfPcBbxSGWFauIUC7uwc9vgk9tjqloOaHmLjvh8glhlCNSwEoKga4Xg3vu+x5dYfRggVRdXZdMuH0IwQZjgFStBmz23SNXQbmhGsuVTVoG/z/Wh6CM2MoCgaqqKjGiEUoYDvIa9x/HOyFbxqA4SgdmoCIQQ9P3o/oaEuyq+cRzF1un7gTuK3brxsQt+6hpOvUDszTeSmQcIbulHDa9NeXys3TLMY0zrZk3wXilDpC21v/bwJAfhIROt/itDmx6mxXJEzM1nqjstQR5JcpU5nPELDcTg9nUVTVTZ3ZbB0DX+FSW60UuDF2TF838dUNZyrCFeelDQ8l4RhUXVt6p5Lh6XitkYZKaHsNOkNx0gYFh/atJsDM2MkDIuEEUJd8rx/59WzTBcqdCWjOF6gd0xEw4RMHV1TqTZsQoZO2DSwHRcpJb7n4/k+juvh+5JY2CIZDSFEIBhrqkIiEsI0tHkht81inj83wteOnGa6VOGRnVvQFAXH83jfvpve7Ka9RpZ/3zWvhu07hFULUzVQxVVmmn8gnJ7N8pmDR9BVhXNzeZquywd238TZbI4nTp3joS0b+cGbd9Edi1J3HF4aGefLR05wdGqGhuPSl4jzyPbNvHfnNmKWuep1crU6n3v1KF87fpqfv/9OHtgUaPtt1+XViWn+7LmXOD49Q1g3eHDzMB+75/ZFvo5S+viNb+B7FxEYSGy0yEcRYvVrLmQonaLUbFJ1HM5lc9y3YYgdPd3kaw1OzswRMw2SlonteTQ8j5CuYy1YWSlCEDYMfAm11kQemOeL1tMmWsJdoDkM/tPacZaSsWKJLx87wf6Lo0yXKxQbNlW7yeaOxZptVVFIhaxFY5YqFCTgXYOA0ubaOP30DEKIYC0mxPw86buS3OiFQG7zJVvu7cKKgxHRUAoOvheUC0W7sBslPLeBFenAtau4TiD0edUqlcOvsuDBaCGD/0sfhEAIgZQSo6MTNRwBRUXoBtJ548yPg113BaFrIAReoYJXriNUFSVi4teb+JUG0vNQwyZutYFs2JSfOxaUrTTw6za4Hl6xQunbh4jeugUlvIXa4fPg+0jPQ3oe5nAv1nBPsGjzfYSq4DeaeMUqdKdQLAMEeJU6smGjJOPomQ7UcATFMFAsC69aRg1H8apltFQaJWShRmM4hTxusYB0l2tKPOkw0zyPgoKPR9mZa30vEonP8fIz+NJFAsfLT+NLl7Kbmy9fdGZa5QU+r8VfUaVvvcGv/NdenP/UM/+5bghMS+GFbynohqBZl5w73mTPXRE277Q48J0qgxtMetbpHHy2SnYqaINhCrr6dIZ+NMVDH0jM16eoAiskOHe8iRVSqDjB+s71JIWse8X9CKfp89hnCvzwz3eQ7lTJzXq89fsSnD3SYORsoEHUdAhFFUp5lyV6AEo5D9+TRBMamh48+5WiR7MhFxnc+H5LrmmpXcIxld51Bj//Wz187De758tpusAMKRx7uY5uKni1K69V5fzz5qMlwsT2DqGaGl7dRqgK0vHw6w6+46JYeqDx9/yVLZl9Se3cNOmHdqJ3xMh+7dVFmzn26ATG+kHc2Sx6bw/Fb34H/9xF4g8/iLVxCGFaNE6dwR9at6xqr1rD2rIRvbsLLZOieX6he8xVxn3fD+YLRWH+C7i00SQU0BSEGcyT0vORtt3yn5aBmsuRQT9ddXNK4to1Zi68CEik9IPiUhJJ9KKHYghFIZocpJofJz95At93kX7wfNZKU/O/A3ieg+c2iSR6yY4fwXNtpO/SrOVxmhXK+VFcu3Lle1/aQt+nMZalMTaHW6pRePYExRdOgS+Rrg+qgnjmBHg+0g++69rpQIEmmy6VIyPUTk0AEt9em+XItXLDhEVFKCitBZDSWtBe+rl0eXtpmTJTrlJuNAnpgc9NsdbA83yK9SZhQ2djV5pkOMRkYWXncAkUmw2mamXihklvJM6h7CSPjZ7GUFU6zAi27/GNkVP4UtJpRdia7OTjR58jaVjc1zNE3XMo2Q26jCjT9Qr39Q3xqTOHWBetsS3VxT09w/z5iRcZjmcwlMXd5UvJyEyBYrUxP5UuDH5zz85hvvnKab5x4BTrupJ0JWM8f/wiL50apVK3iYXN1iQflN862Mm5ySyHzk7ScFz6MwmuxLdmnuOzo1+lucAPVBEK93Tcyo8P/cD8Z6/MTvDU+AXeO7yNz5w5Ql80zu3dA3z2zFF+ZOse/ujwfjYm0hzNzmCoKv/2jofwpM9fnTjIyzMT6IrC/f1DfHjzLg7NTfFXJ15BFQq5Ro3ucIx/c8dDGKrKnxx+gYvlPBOVMoVmnZ/acRsPrdtIuLV4fWr2Bb408RgF+9qd/T88+B7e0nU3mqIyki2wq7+brd0drYWov0zrezXmGic5Vvg8aXMjDS/HxcqzSOnRFdrJztSHSZuXbf096ZBtnOLV3CfINU+hKiYDkTvYl/5xTDW+qN5C8yIHc3/NTP0ICOgN72Vv+seJat0IcVmRP1V/lSP5T5NrniWsptmW/ACOf9lM4+tTT/Ls3ItMNWYpu1Uu1Eb54sTXAcF7+x7mrV33ENHCPDnzHIeLx7mn4zZuTgW26o7v8LWpJzlfGeH7+t/OUGSwdR8eF6pjfGvmaU6Wz1H3GsS0KHtTN/Gu3oeIaSvb5NfcOk/PvcA3p5/iQ4Pv5db0nmVlpJQU7CK/eug/Lzu2JbaBn9v8E4TUGxcwxvN9LuYK+FJyy2Afz54f4Q+fep63b9vEHUODHJqcYvNomkdu2ooqFGq2QzoS4qfvuhVNUXj2/AifeuUwQgh++JbdK14jX6vzxcPH+dLhE/zknTdz51DQj47ncXB8it/8yuPs6Oni1972ALlanU++fIiZSpX/9v5HFtQiUKwH8WufQQ29D6/xjUs9xlp29/viMcK6zrm5HHPVGt2xKF3RCI+dOktlziYZCpEIWYFWUFUpN5vY3uKFYNN1EQTav4XMW14suealaffMXJY/fv5FpkoVfmjfbjZ3ZHB8j8+8epTDk1Ms5Y0I/NVmMZ4jWW1R5jYvf376mVkUNdDKXNYuCiLxXqTv4blNYul11EpTuMUGLWkQ6V1dqLhUmz07g5PNBkLkNY7H142UNM5Oknr3HTTH5wJtBrR29oOW1Q5dIH7vTrxyHcXQKe0/SWTfRtRUlObFGdx8ZVF5LR0nvGsYoztFc2wWhMCZKxLatg41HkE2HbRkFMUy8JtOoKlpLT4B7KkcwjRIv+cOpOdjj2epnzt9OfqQUJC+j1AE0pcIZSLQ/oyPgbzy4lfi4+G3fl/cx550VvhdLih/YzZtmnWf6XGH5x8vc+bY8sAlY+dsHDu41vnjDSbO2wxttRjebrJus4EAjh+oz9+i60pysy6H9tt8+yvLg7FUij6N+oK2r0Fx7XnwzS+U+KF/1sGD70vw1FdK7LojzF/+t1ns1nvhOsG9RGLqMhfbcFxBVQX1iofntjZgPK6qMbIbPjMTDge+U+H4wfqy45MXHezmtVpBCdSQidmXxivXW/cvg+9TSoSmYq3rIHnfdoyOGPXRLF6xTvLebRidcRoXZqkcH6N+bobQxm6c/GJBpnnhIvb4JLLZYObjfxYEo/F9io8+htDUQCBrNCk9/iTScSg/+QzS9+Y3iZpnznPp3fFtGyTYF0eRrod7ae2+wjjiFQNrhPCuHYS2baF5YYTG6bOgKMTuuwvZbOI3Vo9x4jebyGaT+H13Ue/qoPr8i6uX9ZzLAp9Q6OjfjaIZTJx5mnjXJpDgSy8wDZfeIuFw+cMmGT/5JFYkTc+Gu5g6Z7cESh+UQIC9Fsz+DOGNPdhTBZrjueD7dTyks+D99nykvbgPF3kseX6w2fU6cl3CoisdQKJySfu1eJEg1rAIAjBUlWrTJh6yaLgu5+fyRAyDdDRE1DSwdJ1So8m5uTyO57G+I0lH9LL5XX8kwYc27cbz/cBMSigoQrAr04sALFVDAttSXQCEWn/v6giOm4oaBLWQEkUIfCkxVZVf2fMAEPg7KkLwy9EH0FUVX0rUhcLgjmH2bepH11SEEJi6xocf3EPICISjdZ1JfujBvfi+RNdUVFVh27quYG9PCBQh0DUFTVN59x03IYTA9bz53SpTv7IWqenZFJ0SjSXCYs1bPoC7vk++2WCsUkQRgrobTCae71NxbNJWmN+8/a3BLhmCg7NTnM7P8Tv3vIOa4/A7Lz3JzkwPtu/xyuwEn3jnD6MpCr/07S9zvpRjOJ7iidGz/Jd73wkC/tUzX2d3RzeWevkRa/o2JadCwbl2YbHp28wPSBJCmoZABHuq8uqD+FJ86ZJvnmO6fpiMtZk96Y/Q9EqcKX+dF+f+mId6/x2aEsKXLtnGaZ6c+k9kzI3c1vkxml6JY8UvUHVmeajv38/XWXGmeWzyXxPTerm54yfxpcfx4hd4dub3ub/71whpKQBK9jj7Zz+OqcTYnfoRAM6Uv0HJHqMvfDMAt6b2sCW6gZHaBF+ZfJybElu4LbUHQ9FJGyksNdiYsX2bilvF8S8vFCTQ8BpUvRqevLx4OlI8yefGHkURCm/tupeUEadgl9AVjbC6ctTdmlvnuewBvjb1LR7pfSu7EttX71Pkit9txa1el/tjoVHn+dExdnV30x+PLzvedF1uWzfAB/fupNRsIiYENw/0E9I1ZsoV5qrBZK2rCg9sGubuDevQFRUhoCsWJVurc2p2eRApRQiqts23Tp3jS4eP8xO37+OR7VswteBZztfqfP7wMeIhk19/x4PETAPb9YiZBr/9jW/zytgE+wb6gEsCmYWibcarfxGEwbWYgKmKwmAqybHpGaKmQcIySYVClJtN5qo17hoaJGFZqEKwPpXk6fMXmSpX2NET7GpnqzVGi0Xilklf/NqiQU+Xq1zIFXjnts08vGUjmqIwWiiRXcGfqs13N57j4y0JxBhLD5Lq2UayazOuU8exq5RzF7luX2XfX7ZQ0jo6iN15GxJJ4avfgCUmcHp/H5kPfQAtnQbfpzkyxuyf/+WyqpVIhM6f/DH0rk5A4pUqTP7u7wNQPzWGPTYXaOOECLQQjgu+ZO6T38JvOjRHZ1paCYHftGlenAZFQToO0vUofvOVefMuN1+msv8E1QOn8G0XabvUj16kcWYiEAw9j/qpscv3HKjPka5H9eDZefO1SsunU7qBRpJ54a41Jre6Yv7nGyVgv0Yunmmy954I2RmXV56uzQuGl/B9OW8SOjftcvZYg3sfiXPvO+N09+uMn7c5dejyGiU/5zE5EvhnHd5fo15dXJ+UciVZ46oUsi7PfK3MQ+9P4HsSz4NnHyvjOpfrP/ZynV23h4kmVIp5b/7R33V7GLspmRpz5oXLtTB2zqZe9SlkPQ4+U1t27sK+uRL2bAknXw2eN1+Se+IIQlfnN0MApOPSuDgHikDaLlOfehahCPymA75k+lPPwqW/Ab/pUHrpbLCAWojnI1trRr96eWyXzSZygawmW4HKpN36eeme3OXzwbwgs4KG/HIhOW9aihBI20E6DrVXXqV+9Hhrs8pDOi72xbFgbJESN19AusE91o+eoHn2/LVFN5YSp1mlY3Avqh6aD0hTzY/TuW4fgze9HYFg/PS3QUJmYBeRRB89G+5i9uJLeJ5Nx8AeVN0K/I1bL3CjmqVn+A6iqUGmL7xAozJ7pVbM05zK48yV5r/r71auS1j81IVfou4WeGvPL7Ausg9NWZuN7IniExwrPkZc72Zf+v3MVXw6ohHK9Sa26/HevdtRCKLwKQI0VcWSGu/YGThkW/ri5mqKQlQE115o/mSqi8st/FsChqIuO2chcUOZPy6lJGWG5m2uF55hGhqGvrguTb3cF6qqELFMLr1WQgh09dIWllhkMhAy9UDo1QKBVyw5/lqIGyYJ0+JMIYulatiex0i5yHAiEF5Cms5N6S5SVhC1rOLYjFYKDMdTpK0wIc1hMJbkZH6WdbEkw7E0naEIAogbFmW7iSoUtqU7+aPDLyCRvKV/I2kr/LpoGzZ1ZXjs2BkOj03iS8nedX28c8e1O+370iGspbk1808Iaxkcv44iVI7kP03BHqXD2oLtVThV+gq6YnJn1y9gKjF86WIoMZ6e+a9M1Q/TEwo0ekcLn8X169zZ9QtEtU4Awlqa70z9Z6bqrzIYuQtNMTlXfgLbq3J7x8/SYW0FwFQTlO3LdvcpI0HSiONJn5Bq0WGkGIoMYqnmvEn3tZCz8xwqHEMVCt8/8G42RYdQhILfGuiWfk8CgeM5vFI8zNemvsU7eh7kvo47MNUbYw9/dGaGsVKRrkiUsK5zNpejMxIhEw5zNpslGQqxtaMDX/p4V8gFkAqHSIVCxEyTzliERMjCUAP/Oqe1+BJCYOka1oLhLhMJkwxZVJuBD7GyYGu5bjs8ffYCXzx8nB+6ZRfv2rFl0dhTsx2OT81yy2AfmXCo9V6r7B3opeE6HJ+enRcW5/tT6Cih7yOws9BZq8AohGA4leQrx0+xuTNDzDTpbQl953N53rF1EwkrMP98y6ZhXp2Y5BMvH6Ji23RFonzrzDmOTE7zgV03sTGTZrK8dvMYQ1NRhODEzCznsnlqjsMTp89yYGyC3tiVI8O1+e4iMxQltS7C2MEcds1FqIJqaYLJc8/i2FU8p4GUHt5SifI1ItQgvD0QLKxY/C67MzPM/c2nMfp6iN17D2p0ZV9sv14j+8m/RUuliL/1AYz+Be+X6+GVVvaL9WtNhAKJiEet7KIZCo4EM+zRrDoYEYV6Gbzmgvv2JX59sUZDut6ShfrKK/6Fi1bZvLF9+d3Cgaeq7LwtzNs/mCTVqXHilWBTrnfQIBRROPhcdV4YlD6cP9lk3z0edz4UZXrc4fALNeoLzDDHzzXZ/80KP/DTaX7617t5/vEytYpPukunu19j/ILDd75y7RvMngdf+USB3/3keh7+YJIXv1WhlF/8vX3x/+TYfnOYf/rvuvnWF0sUsi577oxwx1ujfO3TBabHr+07PPhcjZtuCfHAe+PEkipHD9TwPegZ0InEVY68WOPYgeUax2X4cpEmyW/YsEL2Cele7kdZW/zMepf+VgSJWzeiJsLknz5+TffzuuO6+EsESmk7SHtxvy/cSLkkrAJIx8FzrvwduXadcwe/sLA2SnPnqZdn8DybmfMv4Lc220ePfh2hakjfx3UCIXj24gGy44eRnovnNpHAzMWXUBQ1iJ7eMttvVLOMnfoWAjFvyr8mPB//eyDmxnUJixVnjpqXx5VNrmUXUiIpOzNUnCxb4g9yy9A2ctU6hqqSjoQx9RWaIwQRc/UF6rX69YlWnVcss+D41eq/+vH5q65avum61BwH1/cZLRZJh8OkQyF0RQlMyFpaSLXlf3StxA2LkKZzJDvN7s5eCo06r8xM8J4N24I2IRaZ2GpCoSsU4cB0ILx40udiOc+D/YFppqlpl7WjSqDdE0DddXjfhu1sTGSI6AYRfXFbb5S/3a6BbjpjYc4ODwCwsStNb+Lac2hqSoikMURM70EIBUWoxPR+POnQ8II8Na5sMNs4Tqe1nbCaaW0gGPSEduP5Ntnm6XlhcaL6Ip3WNqJaJ6owEULQFdoFCHL2OfrDtwImOfssCWOAiN6FplgIBF2h7YtMWpWWyeolIU6IQHN+vX2Yt4tMNmbotjrZGtuIrlz51Xekw/HyGR6deoK3dN3N/Z13zmszbwRT5TL9sThDqRRfPHEcTSgUGw186aMqCqezWQbi8Su+X0EAFtHShgfCja4q8+fIeU205Mxslm+cOMOhiSnmqlWK9Sb5Wp2Htm5cVuep2Tn+9LmXUIVCRDcILQk24fo+44Uio/kiT54+P/+5J318KZleYeEq3RGE0glKGAhxLdrFoXSSmmMzkIgTN000RaE/HucA46TDIWKt8XFjJs3P3HUbXzhynD957kWarkd/PM4P79vNQ1s2ol8tssIStnRm+NDunXzq4CF+4Qt/RyoU4vZ1A/yTO2/ly0dPXFNdbV4/Qju3zfv21F49umw3f/P93dzy4WFi3SG+8K9ewq553PKhIQ793SiliTKZnpswwymqxXEKM2dwrtHf5ko4c1nyj34dYEU/POm4uLNzICV+tYIaW25BAIAvceey+JUqXqkE/X0rl1uBvQ8kyc/YhOMqex9IUs47TJxr0DscomudyXNfnmPyfOPG5af8e0457/HJj89x/7vi3PZglLe+L46UkJ/1ePnpCpXSYoHs4ukmI2ea3PFQlMkRh+OvLF5IN+qS51oC4lvfH+ej/7ILwxSUCx5njjY4tP86LRkknD3a4NThBpt3WvzZ78zgLtGCXjjV5Pf/1STv+dEkP/izGQxTITfr8rk/y/GdR0vLhMurUSl6fPZ/55gadbjjoSj3vSuGEIH29OCzVcqFN0F77EvKhy4ijo4iXyd/tu9uJK69eE6WvotdD0yeF/aI69Rhiezpuc1FkVABXHuFZ1L6uM3v0mBuApSwhRK28EpVpOO1NvLMVTfalnLjUmesAVMJowiNipvF8etEwyYhXZ8XhoB5B31FWXkxdbXj34u8ND7OVKXC7p4efCmZrVZ5eWKCuuOwMZ2mbNucnptjR1cXd61bh3GNi76EYRI3TEbKeX5s214OZad4fmqUjYkM2fryB8VUVXZ39HJgZoJf+s7foQA3pbvY3dHD0dz0irJ23XVwfI+/OXkIS1Vpeh4f230HW1Md6C1N7h3pvWyNbaTiVqm6tfl/Fe/S73WOl04z3ZjDZ/WZ21A1oqZJdzwILFRp2hRqDbri16btUIWBqSYW+BKKlp+txG/ZUfjSo+xMUXYmmay9Mn+uj4/Ep+peTiFQ87KUahN87uJPzmv+JFD38tTcOfzWsNTwioTVDArqfDlDid2QdDKr0fRtXOkR1SJXFRQFgpnGHJ8Z/Tuavk1IDd1Qf0MIgk3FTBNL0+iKRJir1hhIxBkrlZASbM9jslzmXC6PpelkQmEiK2yUXNq0uPT7PAtcuV4em+CvXjyIlJLv27WNwVSSXLXG375yZFl9Ukp6E3E+vHcnp2bn+NQrh9nYmWF7d+d8GUUIkuEQO3u7efdNWxadrwiFdakVfI3VTnznCAiBYj7ElQJRlwo1Dr50nj23DJFIRbh7aD3/+8OdRE2DuBlsQtwf7+PtjwyzabALRQhmpoqEQgY7e7pZl0xStW18KTE0jYR1eZzti8f4Fw/cg9oaPx/cOMxtg/3ErUAI/dhdt88L2XHL4l3bt3D38Docz0NVFCKGga4qPLxl0/yY3ROL8l/e845FwqgA+hIxvvSPfpSOSDty7+uJ2pEOzDulDDazlhzf+e5BDvztee786GYUVaE8UyG1LoIV1RGZ9VQKo8xNHCbVsw3dit5QYRHPw79aNFwpAxPRNZhgXTJFuxZUQyHVbRBJ6oTjKtWyx+xok0SHzuR5n0rR/Z4RFLVInP63/yBzLz1JdbSVD1U3WP8DH2PmmUepjp657rqFEkS5lVfpDClhbtLlq58q8J1HS0G0UBnsUdSrHrXK4vNrFZ8v/J88T3yxRKPqU8gt3zSoFH1e/HaFE6/UMUICRQSawWbdp1K+XN/UmM1//Kdj2PbangHXkdSrPhMXbU4crLPUncxz4cQrNSYuBEF0FEXgOJJK0aNe9ecftS/9ZZ5vfKZIIbu47U98scj+b5YpF/35vslOuzz22SLPfqMc9I0I/CMbNZ96FVTNCgKfeW9cACi/8fdTy91mrQiEpmIO9wUbc7aD0ZtBjUfIf/GpNVlBvKHCoqqYCKFi+zU86SCEQFsi+JwfncPzJT2dcRzHo2E72LYbCJYhg7HJIDH10ECGcGjtWjZfSuqew1yjTNm1qTnNK5q3XS9704OEtOVhr69ExbaZrVaZq1aZqVYpNBpUmk0sTSNfD/JDdkejdEWjaNeR7FhXVB7oH2ZvZy/doSjdkSi3dw8S1Q0sVeOf77snMLVtIYQgbYX4qZtupeY6CAg0LJrGzkw3v3HbW+bL/vqtD5I0Q3z94mm2p7t4aGAjpqrxyVOHOJWfZSiemhcWw1ogdPgE5oWX/nlc/v3/XfwCObvQ8lFcme+cOs83j5/B9rx5P7J7Nw/x8E2brqlfBALlKtljhFAw1RgZczMbY29bepC4PjD/p6aESOub2JJ4F8qSVyuq96ArgV+gLkJ40lkUcMD1G/MC6mvF9h2a/uKXP9BUyiv26yUkkrge4+09DzBZn+Hx6adYHx5gQ3R5NLTr5e516zBVFVUI7h5cN/9dOp7Xct4PfIbXJ5OYqoqlXf9QdW4uR7Za4307t/PWzRsxNJXDE1PUHXdFq4V0KMTDWzexs7ebP3rmBf74mRf4129/kM6WiZyl62zt7KDputyzYf0yE15VLH+mhAjh+6daf115oROJWjQbDp7nMzVR4PyZaWLxEG7U5Hy2QjIdpTJdoThRQi17dPYkGL+YpbsviS8lY2eCDQyhCMqlOpGIybrhTtIdUXRVJR0OMZkrMz03TX8mQfcCk9JM5LLvqtKy6lipj2LmZS2zrqrzprGX7zcwzR1Kp654r21eO7Jpr5hq4RJWXCc/VsNtBPOd3wrYgQBVMxCKhpQ+qqojVtmwir/lfpRIhMr+F3Fn54jcso/Y3XdQPXSE8lPPolgm0TtvRwmFKD7xJGZ/H/G3PoCWCaLm1o+dIP/Fv7uxN75GjjxdQFEFigKHVBEIEBWPo88UESo0rxCZckv8bjqt9VxPqomSPcNI9VArCumNQSgqRiKNYiyw8hACI9GBoq/N8qNn6A5mx17FcxfbNXb07aZRzVItTeJfxRxZSqiVfWoLBDldMRmI7KY7vREJjFYOM1E7DhLKBe+qWjW7Ick2rux75jowM7F2/7SeQZ3te0N84uNzNBZ8z2ZPP82ZSfB9PBcqMoOyYR+Fl57FqyzPj9e0upHpHvzyWWhcDsJTLflUS4ufHykDAXmp0KyoOuFYN7oZpVaeoVlbOTdmmzY3HEWgJqLo3Sma5yfRezP4tos3Nrtmf883VFh0/WaQdHxB5LGlFEp1xqYLrb8k2UINQ1eZmi1hGBq1us1sroLvS7Zu6Ea/QhAY23M5X8nyrclTHC5MMFot0PQcPCnxpf+6pBz/q/t+ggEteU3nJC2L+4aGWJ9M4vpBag3ZCrqjLhAOrZb557UihCBmmMRaE4yuqsQNC8fzmMiVOD+T4y07AnO8mu1wdHSa2zYOkAmFyRBoc7OVGsIShDR9kTDcGwnMhjYnMzwxdpbRcjCQNj2X9wxvWxTg5lJbVMSKC2oAQ716AJDJYpktPR08uHXDvFYpdgVT5deCKgwy5mY82WQgcgdiiXCpLDAL7bJ2UHJG6Qvfii5Ci8oJocwLkDG9n8n6yzh+rWXCKyg6Yzj+tZvbmKqBJ/1FQY7ydoFsc/FElNBjpPQkc80sU40ZeqyuK9Yb0ULcmt5D1a0xN5rjb8e+zD/Z8BFSxpUj9K6V6AItYcQwCLe2cGcrFTqj0SCAkRDLTECvB0NVaTouI/kC48USuVqdrx8/xcmZWTqi65eVVxRByNC5qbeLH7l1Dx9/aj9/8uyL/Mpb78XUNFJhi/fs3MbvPvEU/+up/Ty4eQOmpjFdLnNiepYfu30fsSUmu753HpROkFUuqz1Xfs5V7bIp7eFXLuLYLoVclb7BNPlclWgshFAEwxu6yc6WiSfCrSAQHs26g+t6ZGfLVMp1Nm7tRQjIzpVJdwRCoRAC3/cZmS1gux57Niw36ZsrVckWq2zu7/x7ZcXx9xF3Lofe14MzPbtiJL7KXJNYl4VmBsmdNz/Qg2dLnLpHYfok8cwwsdQ66tVZmvX8yheRoKVSaIk4bi6P3tON3t+PPjmFGo+hGAZ6Vyd+vYFsNLHHJyh87THMofVEb7sFLXljxo3roVFdWRhsXCV9AYClRolq6UWRrNeK4zdQxWsfv24k0eQAzVoxWIe1MKwEZiiJGU5hN8uAQNNDhKKdOM0KzXpQ3gylMcNJnGaZZi2P7y9eZLq+zUT1BDW3SF94G8Z1WqPE9S66Qhs4U9rP9QRbCkcVhreZWGGF9300TT7r8s3PFRcFlkneeR+zX/sCfiMQmIWmocUTgXZ1BezsLE6xgG+vHp3zakgpUTUTM5TEbpS4Wk3hXRvo/PGHg9QSvqR+YoSZP3t01fLCMojft4vkO2+//KHrUXj8AMXHDlzxWj2/8P2Yg11BcCbfZ+J3P40zvcpYsAC9J421uR9rUz96ZxI1FkJoKn7TwStVsUdnqZ0YpXluAr+6gtPlKoS2rSP1vnvmc6YWHt1P/cQIwtCxNvcTv383xkAnArAnslRePEnlwMlFAbSEoRO9bSuxO7ajd6fwbRdnOkf1wGnKzx+7ZguFSyhhE2vTAKHt6zD6Au2cEjaQtodXreNM5WicmaB+fAQ3X7qmoDXC0Ei8ZR+Jt98KgDOVo/D4AWqvXLYYUOMRQjvWE9q6DqM3jZqIBIGNGg5euYY9Pkf91Bi1oxeQl3yvPR9nKku5UAkCfF2YDKwIfLnm9r2hwuJs8yw1t4CuhFcdRH3pU640yBaq2C0HX0NTKZTrmEZrsR2xUFSB7XorCoue9DlfzvLJ8wd4duYcuWaNmmvT9K8jpNY14l6HdmhXdzeaqqIryiIzIsHyKJ9r9dHMV+ucnpyl4XhkouEg6mnDJh0NIwT0peKM5oqkIyHK9SZNx+X05Bwj2QKzpSoN28X1PPrScaSUfPPIWd53600MrJLOY1Mywy/vuxcIhndVKHSHo4uix94oDE0lrpv0JmKLhOnXA0OJsin+TvbP/g8O5v4v6yJ3oykWNXeO2cYJdiY/hKEGi/AdyQ/yzcnf5JXsXzAUfQBTjdFwC8w0jrE5/g4iWhcgGI7dz2j1OY4W/pYNsYcAOF36GjV3eWTOq9FtdqAKhZfzh4lrUQzF4GDhKKfK5xkI986X6zAzbI9v5iuTj/PZ0Ue5p+M24nqUglPC8V12JbYR1hZol1GwVJOknuDdvQ/xNyOf529H/46PDn0YQ732BdC5fI65cpOhdApVKJyYnaUnGqXuuuzo7uLMXJZMJMypuSxRw+T03BwzlSqZcJiIoTNbreF4Hju7u+c1fGvl1nUDjBVLPHn6HE+du0BHNMK+/j7euX0z5ebqmlZTVblloI8fvHkX//eFV/iblw7x0TtvxtI07hwa5BceuJuvHTvFt89ewPcl8ZDFtu6OFTdCFHULEhvpLDd9XcrsdInx0SxdvQlMU8OxXTKdMQxDwzA1ZqaLlIt1Rs4F0daqlQYTYzkadRtNUykV6zSbDr4vCYV0HMfDWxCcQwBh08DQVGzHw3Y9To3NcPDcJD2pGFsHOjl2cZoXT41y57b1bB3sZLAzeU193uaNQ0snkbaNlkpgq+qyqJoHPnWOmz84RMeGGN/3H2+hWXF4+bMXKEzUsKLrQSgUs+cQCDr791CvzFHOX1zkp+Pm85jr16FEomjxOMIwAl9DBFoyGeQBU1XcfD4wc6o3sEfHEULgbVtsqv0PHTPegRXvojx1Fn+JL5Si6pixDhTdoDp7cZUarh+JJNO3g0phFN9zMKw4PUN3UCtPE0n0UStPoxthMr07cZplUt1byU0dp1aawoqk0PQwqe6t5KdPUMqeX1Z3069Sc4u48vpMLAUKYS1B3LjyZuaq5yvQ0avxs/+2G01XyM86/MFvTJKfC9Z+ejJDfM8tRDZuhYffi+86ZJ8M0hkppkXq3rcgVA2/Uaew/2ncUoHQ0Cai23bg1WqUXn0Jt5hHS6SIbtuJlkyh6DrScSkdfpnmxCihoU2EhjagxeKo4SiNsYuUj7yCX6miahZWOE1jjVpFNRZG70wGObobNmosFKTPWAHF0AjvGMIaupz7Uroe4Z3DVxQWha4S3jGElgliBNiT2QXpdVbGGOwk8eA+wjuHUJNRlJCJ0FWEqgYTTCsXoL9rI/EH92KPzVJ66jDVg2fwK1cP/qKETIy+DOZAJ4quofekaV6cJnr7NtLffx9aJo7Syjpgru8mtHUAa1Mf2U8/iXQ9lFiYzA/cR+yuHaixcJB/VUqsDb2EdwwR2rGemT//Gsvskq/UJssgdvcOYvfvQu9MoUYshKEF96woXMp1KW9yiN21AzdXpvLSScpPHcaZubrgDYAQqMno/HeoRiyMoxeovXIGJWIRvXkz8bfejNGbRgmbCENHqEoQHMUPoseGdwwRu3cXzsQcxScPUn7maNA228VryVTXE3zrqsJizS3Q9Bb7MFzK71N1cxTsiSvunl0aQMZrhzlV+g51r0iXtQlLXTkgyfZNvQwNdGAaGrLlg6Eogg3rOoLkwwTmVbqmzkciXYjtubyUHeGPTz7D0cIEZef6d4LeKJYGrVkoXl1rAJ9LVBpNTozPUm406U8nSIQtBtIJXj4/TmciSjoaYjxXpCsWLLzrtsP52Ry71/Xy2OHTjOeLPLB9mBfPjXHv1iEilk5HfPVFuqlqrI+/MSZnAvi7V0/w9OmLpCNBNMrbhwe4b/PQDb+WKgx6Q3u4JfPTnK98i/Hqi0g8dCVKyhhatOOcMTdzd9e/4Gz5MV6c+yM86aArIeJ6/6I6M+YWdqV+kHOVx3h+9g8JKUkGI3dRNWdQxbVpSIcig9zTcRvPzr3EJ0e+iKVabIltYE9yO/UFKVR0obEvtRMB7M+9widHv4gvfcJqiB2JLexKbFuxfk2obIyu5929D/G5sa/y6OTjvG/gndccjbXpekyUSqxPJSnZDXwpOTI9TSoU4vTcHHPVGv2JOE3XxZU+o4UiGzMZxkpFRouBKbSl6/Omu+vTSX7jHQ+StILd6w/svomG28DSjtNwTvCTd3QSMUrUmkfojm3m/btM7hpK43kqjn+IrqiPpe+m5mTJVv8GRZhoIsP37ZK8b9fdmFqOcuM0Uet+3r51Ezt7uoi3riWEIG6ZPLRlA7t6u6naNlKCoSrELHNZ1GYAZAPpT4C8ZOK0ev8lUmEeef8thKMm0pe4jodhaiiKQt9gGgDPDfJcCUVgGBo9fUlULUgL4rmX8qpBOGzgS7no+7o0pl7aaBmZyTOeLXHblgHy5TpHLkzRlYzSm46zd1MfUev10dq3uTG4s1msrRuDXewVdsunTxZ59i/OcPzxSTRdoTzbIHexQrPikOroxHdtQpEOjFCCSn4MzQhjWHHqC0K/u/kCqApqLIKaSSEUQXN0FAA1lZzPTu7mC5cv3Fo8Xe8O/mvBSHRgl7JvyrWvRijZS3r9buq5CewlwqJQdaJdQ0Q6Bq9BWBQoa4xjUC/PoKjGfBb5aHKAZr1AOTdCONaF77lEkwNEEr24ThorkqFRy7eEG4ERihOJ91DJj17DHV8mrCXpC28lafbgS59sY5Sp+mmaXpWE0cNw7BaiehpTjXBn14cBSdmZ42j+iTXVL32YHnX4/V+bAgH1apATcj6nY6VE6fDLRHfuo/jKC3j1Gn4zmCfVaIziK/txiwVS97wFPdOJV63QnBpHi8cxOroQLXcIoWmYfYPUR87RGDlPbPctGJ3dOLk5rP5BvFqV6okjxHbfgnQdvEol0A5WZlA1Y035S71qHXsqh96ZDMbskIHWlVxVWBS6hrnUSkRRsDZeORiU3p1GsYz5GaI5OoNcLcKoEMTv30XioVsw13cHAstKG/YKCE1FMXWIh9HSsUCo2zJA4RsvYY+tLa0EBJo8vSuJtamf9PvvwejrQCywdhEhE703Q+zuHYGW8YXjJN6yl8Rb9qFGF1p4CYRqIEyd+L27aF6Ypvj4lTWul9C7U3T84FsIbV+Plo4Fm2PL1uYiENwMDTUSQkvF0LtTWBv7yP/dc9RPjF6TcAqgRCy0ZBQ1GSXxwB4S77wNPR1HaCu87+ql6+so0RB6OobWmUTvTpP7/FOvOS3HVYXFo4Wvc6r07UUBRxpe4LB+IPcZjhS+ytXMBn3p0vAqNLwSEp/B8B7ieu+KZaNhk0hocToMKWUQQLDFagKULyXHilP8yclnOJAdwVlLQps3kKZ9GEWJoam9CHHjIkuuRMNxUVWFgXSCYq2JqWmMZosYmkq1YXPg/ATFap3RXJGRuQKThTKu53N6Kovr+aiKIBG2aDouIUOnYbvkKzV6U6tEq3sDuamvC6P1slwKqtFzjcFtUuYwd3b9wrwfIQS7mh3mFt7W99vEWs+nEAJDibI+em+QSsOvgpQoQsdQomjisqmNquj0h28laazD9itI6aMIDV0JE9IyXHpPNMVkOPYg3aEdOH4DRWhEtE4Go3eiCQtLTc7X2Rfq4ac2/DAxLYKxQooaUzW5JbWbjZH11L0GilCI68FGjOM782ajQgjiWpTb0nvZFBum7jWQ0kcTGlE9gtkymwyrYR7ovItbUrsJq4Egbiom+1K76LW6F2kfrwVfSkK6zrlcnnythqIoNFyXbV2dfP7IMd6+eRNN1+VioUBHJELD80hYJiNFiZSSiu2QCoXmfVRDus6GTHq+/q5YlJp9nmpzhLARxdSmUUQBx/PxZY2YWcNUswihguzBp4QqXiFuddF0m8Ssh5A46Op5JCfxvAierKEIQcwy2Wp1LrofRQgihsFwZm2ClO+N4LvHUI27CNJnrI5haHT1XNbgX7IuEEJghfT53xd+Ho6YK5ZfC7WGg+P69GUS1JsOlXqTdV1JoiGDVDS0ova+2XTIZiv09V3eIGo0HE6fnmLXrsE1XbfNjcEem8DNF1GTceQKc57nXBbaxg7lqJfsy8+GBCFUwvEeQtFOqsUJFEVFWRIEy8vnkc0mSjSK0ROca4+MYgwOoKUCzSaKgrdQWHwTSW7Zx9wr38Z3X1sQkbHqUQr2FLpiogkDrfVTV0w0JfhpKGE0Yaz5fVNUHc2MsCwTPAAy0C5GM6ucLfFdd15oAYEWiSHUtRmJ+d5iX3mhqPiei+c28D0XkAhFpVKcoJwfwXNtXLtKKNKBGU5SyY9iWIllJqhrIaTG6Q1twVDDjFaOoAqDtNWPoYQ4V36RqpPjYvkg3eGNJI1eThSeAvxWXu+102xIzhxd2eRRug5OPov0XJzcHF7tcvAlt1zEnpvFLeTwG/XAL1RV8Bt1vEoZmVr8nfj1Kk5uDnt2Gq9SRtECLZNXrWD2DaInkkjHpjExivRcVM1q5fUzVjV3XVR/tYEzlYcg2DqKZWB0p2menVxeWBGoiQhGV3Lx5wLURAS9M4kzW1jxOua6ruBZbD2/zZGZlVPDCEHqkdtJvO0WjL5MoK271K++j1es4haqSM9DDZloqRhKyAiCuhk6SkeC+AN7UKIWha/sp3F24qp9AIGW0do8gBoLY/R14NcauHNFRMjA6EqBEAhFQe9MkHjLXty5AqlHbkeJWPgNG3sqC0LBHOhEtIQ8JRoi9e47KD55ENwrywnGYBedP/oQ4Z3DCGvxe+6Vq7j5Kn7DRugaWiaGGgkF11EVtESEyN6NqBGL7Gefonb43DVtYCmWgdGbIX73DpLvumNe+yv9wHrDzZXxGzaKoaOlY6ixcOurEqBrGH0ZEg/uxZ0pUHrq0JqvuxJXHWEiWgYhFPLNi3hLXtqyM8NyV+DVEShsjN7Npvi9RK7g17d00F3rIDxeK/B3o0d4OTv6XScoAhQrf4LtnERV0ujaELq2CV3fjK5tRFO7ENeoVboSA+kEyd0WmqpiOy6aqs77xwWJ7CVIsAyNzliEZCREZzyCLyU7BrrQNRVT13jwpiAgyHtu2U4qslhQkL7kG196mWbdZXhLN+s3dfHcEyewmw777tzI+MUsM1MFIjELz/XZd+dGjr86SiFXYcuOAYY2dWFa127SONSRIqTrXMgGqv31mRS9iWsTFnUlTMocXvSZEAJDjdKhbl32uS5CJI3l/m1L0RSThHH1xbKpxjBb2nXfm8N3DmOoKYRQ8O0X8JQIYKL7efq1MEI0kPYxPKGjaJsRSjJoG4KIFiaihVe/2IL7CGuhKwp8mqKSMVNkzNSi80KqxfBrCHAzlEqyPp5BUQSu51+ymsCTPplwmI5IhIRl8r6bthM1TDZl0sRMk9sHBnj6wkU6oxFy9TrFRoOEtbIvjOsVAoFP6UFXezHULpruGKXGdwgbO9G1bmznIrrag6FEUZUonl9DVVIYWi9SurhenkL9a1jaJqLWndd9v0sRShKh9OC7Iyjmte0u+r6kUm1iGhqO46GqAs+T6LqK43homoLv++i6hmFoVx0vK/UmJ0ZnOHB6jFQszN4NfeiqwueePkzY1BnuzRCxDGzX4xsHTrFnQy8Jy+LcuVnq9SadLZPY0dEcHR0xxsbyFIs10ukIJ05OUq3a9PYmWL++47V0WZs1EL5lT2uRJzH6enAmppBLoiwO3dHB3vevJ94T4tHfehVVV9j57kFOPD5OfuYkoUgHtcpM8J5HOvDcBnZzsTWRV63hlSsoloUajyFth+aFEfTODrRMBmnbSNterFl8g1F0i9T2W/HsOkYshWqGSGzagxaKUB45iR5NUp8Zxa1XiQ1tozZ1Ea9xZT/xgj1FyZlt+ZwrCKEEYdFaP4VQ6AttZSByE7p47RGjVd3EjHfguysLSNLzcMoFYkPbqY6eRdV0Ovbdv0gAXA3NiJDu3kY42knX4M3MjR+iUhind/huDCtGON5DtTxFOT9KZ/8eUp1b8KVHbvIo0vcIR7sC38ZQgusJ+BM3OgnpCaZrp8k2RxEoqEKjKzRMREtTcmYoO3Mk3C5cLU3BnuR6fBbXQmAuufgepG3Pa36k71/Ks7ZqHdJxLpt8LxQAhMDJz9EYuYBbKS8QSCVus0KlMIrrXN1/z6s1sKcum6sqloHenV6xrNA1zHVdCF1Dej5uthiYhxp6EAVzQ++qwqIx2BVopFo0L06vGPQkeuf2wARyoCPoP8CrN6m+fJrqgVOB+WrTCSwCVQU1EsLc1Ef8rh2YQz0ITUWNhojetg2/ZuNVGzhTVzfHFYZOaOsgRl+G6iunyX/1BbxCJTDLvPMmUo/cHmg31eA+Mz/4VtRklMbJUbKf/Q5utgSqQnjHEJ0/9vB8243eDOZQD80z46teW4ladHz4QcK7NiBMvSWo+VRfPUtl/3Hs0Vn8ho30fIQiEKaOua6L2N07CW0ZRAkZKKaBtWWQxMO34FVqNM+tIOyvdu+KQmjnENamPrRMHOm4NM5NUnrmCM3zU/j15vy1lYiFtbGf+AN7sIZ75s/Xu5IkHr6FysunrslvdClXFRaHo7fRaQ1TcwvMNs8x3TjJ2fJzeNIhY64npMaXBf1YiiJ0IlqKbmsr/eGdpIz+K6YJmKyVOF2cY7pWZl00xa5ML6oQeL6PoapoK+zKeL7PqeIM35w8ucw3UUHQHYpxR+cQWxPd9IbihFXjmvOOrYVua3XNWyz8IZrOUVx3FNebwXaO49eqCGGgKp1o2hCGtpGQdT+6NvSa2hEydELGZUFsobZhqeYhHgomuYipL/ocoDMeQUpJf2p5zruTR8ZwHY99d20kngix/8mT9AykSGWiPP/kCfLZCtt2D1Au1pmdKiGlpFGzCUVMXnz6JPFEiN7BlQe/K3F+Ns93Tp+nVG8ipeTY5AwPbBlme+/1+Tm82fjOQRR1AKH2Iv1ZkA18ZxwhDITSg1C78Z0jSH8G0BFKel5Y/F4hohtYVqD9WvgMTlUqPLRpA6mQha6qDCQW+8SamsZtA/2Umza6otARXl0oNvVhmu4IdeckljaMom9AVWJIbEAQ1nfieaXguD6EpqZBNBCtYVAIDU1NooownixjqN037P6FkkZwAcS1a2bPnJ2hUm1QLNaZnSsTCulEIxaRiIGmqZTLDWbnyuza0c/mTd2oVxnXLENj22AXvek4uqaSiFis60pSqjYwdI1ExEJVFB7auxlfSlLRMNVyg7Nnp8nlq+y4qZ/h4U5qNRvfl1SrDWZmS6RSYQSCdevSnDgx0RYW3wCcmVn8aq2Vp7C2zF8RgtQZZ56e5pYf3ICqK9TyTXq2J7j44iy5kTyuXQs0RdKnUc3i+958oul5fB+3UMDo60PLpGmcPoObzeIWy1idXcECeWoKv36dOfFuALH127BLOZxSjmjfJnzXoZGbItTZT7h3GLuUJdwzhF3KooVjawpa4+MFUaqvILM0jH78q0RW18NJUut2EuscwoimMKNp1t/+fnxngWAvBJoZRrOiZM8fXLEer1knf/g5MvvuZ/BdP4pvN2nMTWHnrh5x1XMbFOfOUSvP4Do1HLuC9D2mL+4HIcjPnMRulPCcBrPjB1FVE4nEbgRz9/TISyCCYG12o3TV6y1GYKpROqz1xPQMQ/7NABhqGF+6WGqU0g2MGntFpKQxeoHMW9+FVy2Tf/Zbq7daCKK7byG8cSt6IokajlA+chD/UmL4Jc+FUNXARLWnHz2ZASSNkfNUz5xE1yKEY91oejgIJnUVv0W/1sSdySM9L6jXMtC7V3b1UQwNazgwN5WuR/3MBGZ/B+b6boSiYG3qp7L/+IrnmusuC4vS9XDG55ZpFvW+DMmHb10kKLr5MrkvP0v1pVM4c8XlfnCKoHFhivqJUVLvvI3obdtQLAM1bBG7czvuXIHC11/Cr1/ZVUwoAiVsYk9kyX3xWeqnRoNANoqCdD1Cm/oIbV3XMtU1sTb34+XLzP3NN6mdGJkPeuMVKkRu3UJkZxAYUaoKoa0DNM+Or/p+p959F+Fdw/OCou+45L/8LOXnjuFMZvEb9rJz7dEZGmfGSb3rTqJ3bEeNhlAMjciejTQvTOHOFvHKax8n1VgYYmH8aoPKCyfIf3U/znQev9ZctknRHJnBnpgj88EHCG1pRepXFYy+DJE9Gyk/e3TN113KVYXFkJYgpCXwpU+XtZmNsbuYrJ+g7MywI/EOBsK7rhLxSwQRMIVBSI2jK+H5hONLaXgOj4+d5ksXjjJSyVN3Xd47dBObEhnOl3O8ODPKvo5+7uxeruHJNqsczk8wVV88iMV1iwd7NvOB9XsYCCeJGyFCqo4mlGUh719vLPMODH0XvqwgZRXfr+D7BRzvIrZ9hGZzP7X6YyhK8rqFRcHKe2ELBb3VNA/X+vnsdJFkJkrfYBpVVZieyLPz5vV09SXJzpZxHZdUJorrBNFd56ZKJDMRkukIsXiIcPT6THFPTs0SNgzeujUI0f3c2RFOTc8tEhYL9hRZe5S43kVIiTHVOEPTr7E+spuodu0C6uuJwMB3zyCwkd44yBrIGhIfocQCrZSIBHphJQbi6lrE1wPHdhk5PcXcVJF1m7rpvUZhYKVnMB0KoavqFfepu6JRkpaHpogrBjQy1G4SoYfwZRVFhNGUJKqRQFd7UZUYmpIgHroPz9+NIkKoShxDekj98oJNoKNrvehq73wagWqpzv4njvH4Z1/CCpvccv9W3v2jd13TvfveBIr1MNJ5hStFQ5W+5Ct/8xyH9p+hqy/F9/34vei6ytRUEcf1iESCaMGKIjB0jZnZEvW6Q8jSCYXWZgqnqSrpWJh07PJzJCWkWv4dl+roTceQBCa3+WwV1/Xp708xl60Qj4cYH88zM1OaP2diokAopJNMhqnX23m93gicyWm0jgx6XzdCwkrPVKzTYvpkEbsWbKK6TX/e3xUpF6VQuJIQ4OYLhLZuRglZuMUS0nHxCgUU00BYFo0TJy/7xagqimGgRCMIPXhm1XgM37aRtnPZd0dREIaBEo0iTAM0FTUeD8o59uXohoqC0HXUWBTFNFtmdwmkbQcRKj0fPZ6icvEEzeIcUvqEe9ajmiHcehUz1UUzN01y6y0YyU6qE+fw7NV32cO9MTr29GKlg3di6tkRShfWGKRiBTy7Ri07hqpbaKE4CAWh6oiFiz0psetlCmPHKY2dJBbpo1xdbKonPZfq6BmcSgnVtOY1jaWzh3FKy9snlFbAPF8ifY9mPb8s4u1C39RLNBuF1jAlF5SbmddiX4/CTxEqDbfEePUY9QVxMDzfpuoWrr1CAo2ataGH+ulxjO4U9uTqAljopvXUT4yALym++hzRm7dRPXMK33Zwclnyz30brxq0q1m4iD03ge/Y1EfOY8/NIFQV6Ti4pQK+6wY+j7WgfOXEEZASLZlECIXqyaM4+RzWwDq0eBI1GscplvBCTQwrvrb+83y8UhU3V0HvTKAYOnpnohUddfHmhDB0zA2B64x0PZrnJsBxMdd3gxBYm/tXugIAxkBnEAUVcGbyeJX6MlPJ+D07MYd6UFruP77jkv/qC5S+cxivUF75fnyJX6nTOD1G3nFRTIPIrVsQioKajBLZt5nG2Qlqh8+vcPJiZCOI4Nk4M355TPB9nOk81cPnCW0NrJ6EEEjPp358hPrJ0UXRUb1yndrRC0R2brjUaxj9HbRCSa7QLx3E7t6BErHm58TStw5SfOIgznRuVR9Av27TvDhN/ivPo6VjhHdvbGlaLSL7NlE/OUr9yNXv+RKXhNTa0QvkvvgM9vjcyqasMujv2tELqNEQ5nAPih5YGimWQWjH0OsrLF5CEQohLU6IOCljgKqTJaZ3kTGH0JQb43+3f3qER0eOkzJDvGNwK0+Mn6FoN/CkxFA0xqoFTFVbVVg8VZoJzCtbRDWTt/Ru4We33sdgJHVdOQpvJEKYqGrg3Ox5E9juaWznJLZzAs8LVNOa1oeivJYw4wLluhJsXDsbt/Xy1c++RK3cpH99hpv2rmP/d05gGDqDGzqYuJidD6YBsHlHH2eOT1Kv2QwMdaCq1/d91ByHuGWysSvwITg6MU1jidlExc0x2xzB9W1qXglVaMT1TqYb54lGv7uERcXYjZRlhAgjlU7ApxVTFiFigIGi70Bo6wNfV/Hm+I3aTZfzJybxPZ/zrkf3YBrlNb5T5hryJypCrBw0ZglC6BhazyLNuUIIbcH7pKudaErH/PGFuF6OmnMMRYSIGLvnP3ccj6mRHK88c5pIzKLnOrThQkki3WOX/lq13MxkgSe+cIDTh8cIRUxuumWIHbdv5Jabh4K8tJqClKCqQZCv/v4U0pdouko0Yl53QCyxgsnVpYBiAOl0hHvv3YJpati2i2UZPPCASSYTJZkM092TQGlpjE1T57bbNiy9RJvXA9fD6OvBHpvAHF53WThYQC1nE0mbqLoCAobu6MRzfJzGtblqePlCICfYNl4hSJHkFopIx0GYBm6hAICaSBC5eS+hHdtQrBBaJgW+pPOjH0E6Do3TZyk+/i2UaITIzXsJ79qJYhpoHRmEqtL50R9FOi722Dj5Lz+K0HXCe3YRveM2hKaid3aghMN0/sSPID0fr1Bg7m8+TX16hPiGnTilHCDRrAhmpge3XgnM+x0bp1oi1NGHWytfMchIZkc3dqlJ8UwQJKc+V1217FrwXZtqdoxmJYtn15H+DqaPfQe7VlxQSgZa3WYNxRfE40M07RK6Hg4iORoJGnYBKSFkh2iUixh6GEvN0CgW8BqX26joCoqpoWgK8aEU+ROzKJqC73gohoZbd9BCOm7VXhb5UgmbxPYMUT8/g9+w8VsRFPF8jO4kftPByZaRV/H1WozE9W1sv07VzZNrrm76J5GBBrPlMrMSQlMx+jswupNo6RjObAFzqBt7Ko/em0bPxLDHsyDAGurBnspjbexFDRvY0wWaU1OEGt3YM5PomShGfwduoYJuJtHTcbQOC3nKbmnUc7iF5UKok1sQLbhUaLVLQzFNQukNmN29KKZFY2IMr1YG6bW09k3cpZr7VfCqTZzpHHpnAqEI1GgILR3DnSsuKqeETMz1wWa59Dwa5yfBk/AAoIhAe2hoSHvxM6+lYmjxyBJ/xSVlMnHCezYFwWJa5eqHz1N9+RReoXJ1wdfzaVycpvziCfRWhFMhBOaG3kCAPzV21eicXqWBPTa3rG1+vYk9slgj7Tcd6idHlj2f0vdxxhZEnBegrRLdHyB2zy70THw+gI8zV6T07VeDyKZXCxYjoTk2S/XweYzBLvSO4DrWcC/W+m4aJ0fXnN8QwJnMUn726OqC4sJLN2waZydoXpgitDnQLgpDw1r/2iylrit1RsZYx0Tt+iXU1TiYncBSdT4wvIs9mT7OlrLz0UzTZghNUck1V1bf5u0aI5XFL/RQNM0PDd/CUDS95kWUlD5NL4euRFEVq/WZROLi+BUMJXndC7JS9RM0mi/geZNIHBQRQ1UzWMbt6Np6VLUHVUmiadfvG6YgVtTcNrwm4/UpzldHmarPUHDKNPwmvvQxFYOEHqPL6mAoPMDG6Lr5gCdXoqs3yYPv3I2qKcQTYaywQbozhpSSeDJMtdwklYnQ059iw9YeUh1RevpT+L5PNBbCCl2fj2ZXLMrBkQn++vlXAJgpV7hl/eKdM4lESo+SM8d4/QRd1no6zHXk7bXbi/tSUvPqjNcnmW5kmW1mydtFml6Thm/jSQ9D0TEUA0sxSJtJOs0MPVYX68J9aEJd07MilCSCViCaRbtcC84VCQTx5Z8vwZMeebvIaG2SqcYMObtA2alQ95rzaV10RcNQdCJaOMi/aCToNjvptbqIG9FVI52qmkI8FeHCyUlC0esXTF5vrtau1Y4rSpiwfhNCqKjKytGar7tNShrEAPh5ggA3K7ehUbMpZCu4jke5UKNWbmIYKvHE0rydwfmRiLni5wDNhsOzXz/MhVNT3PHQTdx089B1t9+ydHp6Fk+siVabpJTEYtaia3d1vfmBsP4hYG4cDoQxQIlFWem5evVLF9n6ll4y6yM8/Ms7cW2PU9+aojS1tgXrJZzZWQpffxyhqjgzgTbKmZ4JPtNUnJlgIebX6zROnZ4vswgp8UqB9lI2mzROn8XNrqCxkxK/5eslPY/mxRH8+kqaQBloKqWkPjOKbzfwHYf63AReo0Y9O4F03SAPqdPEt+s05ibw7avce6sb3YaL73j47rX5Ga+E9F2cepl6YRI9FKNWmMSpFVcsa+hRDD1GOrGJYnmETHIzvm9jGjEU1cD3bEw9ihAaueIZkvEhao3LC+FQV5Tuu9Yx8pWTGMkQXbcOID2JFtHxbA9VV7E6wow/cTYQhBesP5WQ0UoJIDB6UugdsUAz6bio0RCN0TmcfGWFVl+ZijNHyuylM7SBhlfF9uqYagRFqFScLBIfX7o4fgNNmMSMDipODgVlWSoOYWiY67tonJ9C60jg225LmAE1bGL0ZrAn82ixEIqlE9o2gKKrNMfmCN+0LvCVa91zeOcQKApaKgqqQuPUGHpv6nrcMnFLBcrHDqFal8ZGH7dUwm80EEJFESqqZqCsIcANgF9rYE/mCO8cDgK5mDp6d2qRsCh0Fb0njRK2grWq7dK8MM2lmJQCUEIWRn8nzfOL1z/GQEeQ8uKSsHhxepkJamjrIHpH/LJfo5RUDpwK8jCuNViL61E/PkJz70bMgSBYXCDg9mD0ZmhemLpyP9QbywRkAOl4uPlK0I5LATFth+boymOPW1y86aOGzRUVi0JXid6yBbHAlat2+FzgQ+qtcSzwfJrnJnCzpXlhUbEMjL4O1GQUdxUf0mXN9n3ssVlqRy+sub/9WoPmhel5YZGWNhchrjtC9HUJi13WZuL6K2jC5LreqFUoO00ShsVAJEFI0xctWgOLiNVvsuba5OzLgmREM9ie7GFHsveqi0fPb1Kyz5K0tuFLh7nGAVLmTiLKZQHEk00a7iyGkbzu+6vVv07Dfh5D24pp3o5l7EVTh1HVDIqSQPDaF+CKUFAXJIqvew1Olc+zP/syF2vjFO0yVa9G07PnhQdVKBiKQVgLkdBj9Fpd3JLaya3pPVhXEBo1TWXjtl58XyJEsFBdv/GyKWim8/KC8VIcsWgsdM3RGpeyb10vpq4xlisgENy1cR3bexb7K6aMPjzp4PkOHeY66l6JbHOUDvPKQWp86VN0ypwsn+NM5QKjtQlKTpma26Dm1Wn6Nq7v4UkPiR8M/q0+t1STsBoioobotjrZFt/I7ek9xPXYqqbXlxGr/L5amcUUnTKnyuc4UjzFWG2SolOm5tWoe01s38bzPfzWiBg8Iwq60DBUA0sxCWshYlqUTjPNpugQm2JDDIR6Fre79fqluxNs3bv+DRMWi06ZJ6af4Vx1FG9JHlNTMbgzczN7ktuv+KyuBUVYGNqVw4xfK1JK8LN4jSdQ9C1IbxpV3w4orPR9dvYk2LJrkFK+ysBwJ4ObujAM/ZpNxAFmJwq8+OQJzhwZY/3m7tckLF6J79ZNg38IuHPZwJeptxvZtFdcCIwdzOHUPSaPF1F1hfJsncljBRqla4sUKps29ujYks+a2KNjRFI6RkhQrgaaR3t8AsYnCMU0jLBKcXqxX5IVVenbGgEanDtwjCvi+7izc628jlco5tjUZxdrrJzq5QWm1dmPFopRGTuNd5Xk6s18nXBvDDMZpK/JHpqiOnEt4fxWp5afxK6VcJtX1lb60sVxq4StNLI1ejtuFVPRAIHtVomGewhZ6WX+l6ntXUR6YhhJi1BXFN/xAq2z6+M7dbSwHgjCrr9soSxtFzdfBU3F7EuhhEy8Yg0lYqEmwoiplQWdlNFHZ2iYmN5BVE8T0zPE9E4KzUmm62cpO1mm6mfoDm1ka+IeADzpkmuOU3GywT3jUXbmqDhZNsfvwpVNSvYs58tLUhwIEQhJnQmEpqDFI4Fg2xVs5kvHxejPoKeiSF+iRkKgKBg9KYSmomXi6J1J9O5kEBFYEbiFGloyEuTwM/VlAXDWgvQ8nOwsK+nJFFULnA8UDc1YmyuJV21gT2Yv12EZGD1p6kcvXO4KQw8CyAiB9DzcbAmvVMWemAsiZVoGQhFYm/qXC4vruhdF5W1enEa6izVe1uZ+lNDludXJl2mOzuDXr238cGcL2OML2iQEelcqyKF4NWHRdnErKyiKpEQ6Dr7robSsj4IAPyub0y/VYC4UBhei92XQMvF581yA2rGLV/WvXIoznV/mn6h1JdFSaxcW/WqD5vhcoMVdI9LxAvPgFkIIhBqkMvEb1xch+rqExXWRm4npnaTN9ahXCFRzrXRYYY7mphmpFOiLLNzFllws5ynaDTYnOlc81/E9agvCZMd1i02xTsyrhJT2pUPJPsuF8ufo9u4lrPVSd6dpejlUYZG2dhPV1zFZ/TaaEiFubCLbOEzTzdL086TMmwhr/czUn8Pxy1hqhs7Q7WjK8sEgHHobipLA94vY9mEc5wSq2o2uDQeRUbVNaGo/inL9UdUUoaApGhLJXDPHU7Mvsj/7ChP1aRr+yg+6Kz1cr07NqzPXzHGxOs6F6hgnyud4V+9b6AtdWX2tLMx5sxZN2mtcXFYaNl2xCBs7gwTv8ZCJpS9+6RUUGl6VbHMEXbEIawn6Q9uJ6iuHJHd8h/H6NAcLxzhROsNMS4tYca88oXvSawkwDnWvQZ5gcXKuOsKp8jkOF07wlu672ZnYiqFce+TXq1H3GhwtnuKF3EHOVkaYa+aoe/UrWoZcarONQ9VbvMNuKiZHS6fYm7iJHxv6gYVjJbqhsn5zDyNnpnnmq4f4wE89cMPvZykFp8RXJ5/kOzPPk7ULi8ySQqrFfR230W1l0MSND1Z1w1DCCG0IoQ0j1HVcadgNRU0+/LNv5S3vv5lYIsy6Td2o2vWZ+k5cmGXiwizNuj2fe7HN3y+8YgljaJD6kRMYAytvdLhNn/FDeaZPFoNFcdO/atLta2XgphhWROXVbyze0e/eEKZrQ4QXPr94keraPrnx64/Mdz241RKVsdM45XyQkO8K1GerRPriWJ1RQFK4jqjdq+HZdbyraDZdt0G2cBrXbaCpJtV6EJHV9RqoyjRCqPi+Q8hKU2/kqNUXC9L54zOUzuWwSw1m9o/gOz5CFfiOh2d7KLoKvsQuL18TeLUm9fPTQdTHpgMyWKwLVSBMA69cX9EEte6VmGtcpGBPIlBa1j0+Da8SbNxKh3xjnIZbwVIjCBQ86VJvpVS7RNUtcKH8CiEt2Gxu+svnYL9hUzt0vhVYKY9brFJ65iheuY5faeAWq0jPx5kpBNEiW6kMpO1iT2TxKg2KTx/BzZWplusIQ8OvNhCmDkLBmSkGvns3ECl9mrUsvtdcUzRUCMwsFwa5UUwdvWdxkBvF1LGGL/kr+jTHZgN/wXoTZyqHOdQz77dYfOylReea67rmcxb6jos9PodcMleY67pRFuTadaZygQB0jRoq6V4WZC/Vp2Vi6EvTfayE6yFXE04lgbbv0ivq+St/dzIQJBciVnGFsjb0IfQFkcWlDPrmGkxHIRD2pb1YQFWjIZTw2je2vVINd6ZwTf0tpbxsPn4JEfj48kYKi1E9s+qi+7VwZ9d6TuRn+dPj+3lhZoQjuUkc3+P/njzA6eIcGSvMbZ0rpyXwpI+9IAqqpep0WKsnkb+EQEFTwkg8oto6NDUECHQlQVjrYaL6JFuSH8VU05SdC4Ck1DyNpkaJ6cNM154lbe7G9WuAwPZKSLmyLX/EeheWcTuen8PzsrjeKJ43ie2coWkfQkobRYkRi3yEkHn7tXcgoAoVXahM1md4bOopnsu+TNa+Nsd8V7qM1SfJ2XnydpEPDr6L4ch3T+60yWKZFy+MEQ+Z7B3sJWYtf/FKzixNr8r6yB6EUAircVLGyospKSVTjVn+ZuSLXKyOkbeLawpFfiVc6THdnGPOzjPdzPL9Aw77kjsw1RuXHmW6Mcszcwd4IXeQ8drUqpsB10LTb1J2KuiKviwAlOf55OfKSCnZ/Abk0ivYRb46+STfnt1PbomgGFHDPNB1Bw9130uf1b1ihOTvBoLJJoxq3gPiUkTh1TdLhBBs2N7Hhu2vXcM5fn6OmfECuvHd2TdtbgyyaaN3XPKjXT5ubXlLL7NnShQnamx9Ww/rbu7g4gtznN8/Q7OyfPEzfHOCvi1RoikDK64xerjEyedyhOM6G25Nkug2qeZszryYpzjVZHBXnNve10soqpEZDDF+vML5g0X6t0W57X29dAyGiKZ1Zi/UOPzNOSIpnS13pckMWFw8VKIw1UQzFPq2RNl4WxIE6KZCdqzOgS9PY4RUdj/cSTRtEE3pqLrCi1+cZOLktZlCurUyrDHZV2x9CkVTqM9WMeLm9SiZrogRThLr2YSV6ETVl1toNSs5po99O2i3t1iwcAgWwkIoFIrnqTeXz+/V8cualXK1cG2N8/z5xO929QpzioD5HEjQyqV95e/ElTZlZ5ays3pSdl+6VNwsFTe7ahk8H2d2sVli49xl7dRaBL3m+RW0WaskvL8R+J6D3Si10tKscX3h+bjFKm6+gt6RaEVEXewzLwwds5UqQbou9mjgwyc9n8b5qUBYVAShFYLczOdYJND8LQ1uIzQVNR6BBUKVmy0v831cK16phleuo3cFAq8aseZzA14J6fnLhZ/LR1nYn1LK1X0glwhcqykujO70MkGy40MP4lWv7fkQahCJdiFKyEBZRaO5El69ucx8di2saIn5GsaxG6cWvAFsTXbxwQ27+cbYKfbPjDDWMiERQrA92c3DA1sYjq+SZ0YoaELFk+78OeoatA1CqBhqHENJEjPW40kbgULcGCaqDzFS/goChZDWQ8E+AYAnGyS0zSTMbYxXvoEejlGrT2BqaVLWTfO+jktR1TSqGrTf88s47hls+xjSPYHjTGK7p/D9AiHzbrhuYVGh6FR4avYFnpp7gaKzfHJUUDCUwLSt4TVXFYxqXoNX8keQSH5i6IN0W98dofCHO1JoqkKx3uDCXIEzMzl6EzG29nSQjgQDj48HSEJqDF0JoV8lCJMiFHzfI2cXrnp9gcBUDHRFo+k72P7qOzWe9DhfHeFzY18jocfYHB1CU177azdSHeebM8+wP3twmSD1WknocW5O7VxmOuv7Etf12LC9j/Tr7JOWt4s8OvktnprdT26J8B7TojzYdScPdd1DT6hzTe/5m80bneqkXKwxcXGOUqFKpu0/+Pcav95A2k2k7ayo8bnpHf08P1Uj0Rtiw51dVOYabLy3i+yFMrOVxfODUGDT7SnqRZfRYyX2vasbM6qiqIKNtyXRLYWLB4sM7IgxvC/JsW/PUZhsUJ6zcW2fkcMlijNNPMenNNOkMNUgnNAZOVyikgsWcE7Dpzxn07clQsdgiNPP51E1QWYwxKbbU3z7L0eIZgy23ZPm1HN5hCLY9bZOnvqrUVJ9Fvf+yADf+ouLr2ufGnGT+lwVoSpEemMoprZa0MRrrzuSomPT7SQHtuN7Lr67wvxxFc0nBJqqSn11oeuGoyrzLk+qpYOmoCcieLUmTr4aHJDXHilVmAZaJo0SCs3nLhS6jl+tIjQNYVn4lQoIBS9fQOvpQtE0UBXcXAEvd/1Rat9YZLCAX8N3uxC/1sSZzAXCoqahpWMolhGYE6oKWjqGngl87KXr0bwU8MXzA7PTt+wFQO9MoiYieC3BQ1hGILQpC/wVl4wfSthEaItjL3i1xjUGN1pwLw0bf4EgJxQFxdSD/JBX0tpJuUwruHpZrrt9l1Bj4cVmyEIQ2bfpNdU5X5WmIbS1r1mk41636eiN5LtKWAxpOrd1DdIf+f+z919BlqR3lif288/11Sq0Si0rSxcKBRSAguxGA62md2aHMzs2nFkal0bbpZHGlyUf5ok0GvlCWzMu+bKc4Wix273d0BqoKpTWKiu1CC2uFq79cz54ZGRExo3IyKyEmsExq8rMe/36dffr4jvf//zPKbIwaNPb7CvIGyazuRKTmSLGHhliltAoGBYbXjqzFckYd9hNeAgUNHRRYGnwM/L6YUBBKOZmfqTEixvUvbfoBdfpBJdISBCKgUAFEnSRoxfeIEwcCsZxkkQOZfCO9wJheJEoXiKON4hli4QIoWRR1Uly+hlUtYZpPHYfRy9FIEM+7l4mkOEWUdQUlRGzysn8UaYz4xT1AvomYfFin7rf5FL/Opd61/DinTOJYRLxXvs831r6Mf/o8N/5rajgjBZyjOSzLLY6PH/pOtfrLW7UW1xZb/DE3BRnJkcxRNpgvuxeRCgaRX2U6cyZoetTFIWyXuSZ2hN82L20oy9OIBgxK8xmpxgxK9SMCnk9hy40VEUQyRgv9lj161zqXeNS7/quvjqA64N5frb+MpP2GMU7zFM6YYeLvQuMmWPowqBilLHUvfP4lt01frz2S16uv0k3Gj6TqyoqZaPIlD3OqFkhq2UwhYmqqIRJyCByaAUdNvwmq946/SjV1RtCZzozweHc7sqhjCVOz0PTVTw3IJP75CHUw9AM2nxv+ee8UH+NdtDdQRSLeoEvjX6GL44+w5hV2yK0SZLwwnff4+0XL1Ks5PjM1x7i1GM7+1NX5hu8+pOPuHp+CVUVnHv6KF/+8yd2PAjdgc/7r13lxe+9R22syHN/8hil2rbfa7M3V0pJtzngg9evcf3CCr22QxhE2BmT0ekyJx6e4dRjc3d1/H3rxYu8/MMP8fd4GPy9//qrTB66+yRNc6PL4tV1VhaabCy3WV1ocv7N68SRpNty+MG/f433Xr0y9LMPP32ML/+tJ/bd1jiWNNe6fPTWdRaurNNtDYiCmEzepDZR4vi5aU4+Motu/FY9Uv6TgFrM49/spKHiQ2aTs1WTOJTMPlmjs+Ly8Y+XeO6/Po2R2/1bJQmEXkxh1EA1FBoLLssX+pgZlalTOaychm4JajM2QlVQdcHGvEt9wSFT1LnyentrXY0lj/XrDpnSztcDN2b9xoDRwzsrColM6NUDLr/WojRucurZKrmyTr8ZEgeSiZM5dEPw8YsNuhu/2sFT8/w6Yc+ncLiM33KJnN15avcLq1AjP3qYQX2e1sJHQ8liHB5MJbKXimnH94kcWb1CRi1iqhl0YSIUDQUFmcSEiU8QOzhxh37YwIsHO2ShW+uZrKCYGoqqohUz+MtN1KyJMVpEr3mEG93U+OYe5YnCttHH0gpXEoYQx0Sdbmo6M1IjarUxjxxCOi6yP8CcmSaRMcHCEsbcNO5vhCwq2GqenFbB1grpcVVMhKKSADKJiRIfP3Zwog6DqIkX9+9rUjc1uWmkeX9CQbVNtFqBYLGOMHTMmTEUTbttbnNzDdh0Rb2aRq8oigKbvY3Oe1cBMMbKW72DAP6NIWTRNHb07UFKXu7qBroHkiiG7VmwipLKPY39yWLa+39Qkv3JL1QlY95Xz+qBILi3dcdyl+nQbwKf6MkuE0krWKDpL+DFXeIkSHXqB/js4exTlM3pXa+bqsbhQmXPCuJeyOsmY1Z+iyy6cci6dzCZiiZsJrKfJ5IOhlpiNPM0llpDUTRm83+CpliUjFNktUkMUWLU/jS2VgME0/mvU/feYTL7JWxtlJb/IQXjKCq7K1kD9zuE0dXUBVVUscwn0dQJhKihiiqqWkGICkK5u3x2L3ixz4q3Trw5e1XU8zxRfpgnK+eYtMco60VsNXUuTEiQiaQfOTzqneFC9yq/WH+VRXdnf0kgQ15rvsNj5Yd4snLuvrftQeHyeoO3by7hBCEj+SxfO1tDE4L3FlY4v7LGmclR8lqNmcxZoiQ80E3aUi2O5Q5xJDvD1f48NbPMqcIxDmdnGLdGqBgl8nqOvJbBVM0t86UkSY9hN+rxRPkc5zuX+cHqL2iHuxus325+wBdGniabP7qjuni1f4Ve2COjZuhHPQxhYAprqESiu1k1fq3xzlCiqAuducwUj5bOcCg7Q8UoktdzmMJAUzSEIoiTGF8GOJFDLxrQDNqsehtc68/TiwY8XDyFre4mgspmNMLV80vYGZMzTx6+6291r2j4rc2K4uu0w86OX61ilPjy6Gf5wuinGTEruyqfK/MNXv7Rh+iGxsRsdShZfOG773HhnZsoQiEMYj79lbPkCreJeb/r8v6rV/npX73FsYem+Nw3Htl1DFDg0vsLfO/fvsqVDxapr3bwHJ8okhiGRqGcZXy2wuOfO8mf/sNnsTJ75x8uXFnn+W+/w6A3vIflG3/vmQORxfNv3eCnf/kmC9c26HUcnJ5HtPmA8dyA82/d4PxbN4Z+Vjc0vvRnj6cmrUPQ7zi889JlfvmDD7h5aZXWehfXCYijGMPSyZcyjM9UOPepo3ztbz/F2PRvVzTNf/SIY4yp8dQ19MqNnYMxIBhEjJ0scuzZMd75q5t0VlyEKoafkwlEQYLXi9i46dBZ82ksuFh5jSiQdNZ9Vi4NWLk0oNcIcDpplUAIBaEqu9alKArqna/vtRtRgtMNtwpUcSgRqoKUCb4TM2gGdOsBrZXdREoxN5+3UZze65MEYZrpLL5uELVb9zDYhN58m0QmyFgiQ0nkPLjcUNWwURRBa/4DuiuXH9h6t0NBoWRMUDVnyOkVLJHDUG00xUQVGmLTYCtBEifRVqyFF/fpRw0a3gKdcJ04ub3fWimDOVVNewA1lbjnohVtFFXFsHQSPyRs9ra+f8Q6xIh1aJe79iBqs+5du52tqCip0YiUxJ6HouvE7U4aRK/riIydRlJYFsbcNGo+h4wi1GwWcYdXgYJg1D7CiLnbUT5OIi51X95Sn90PVEWnpI9RNqfI61UsNYchbDRhoCraZoEB5Jaza3pc/bhPL6zT8Bfphhs7juvdEDv+DpMbxdTRR8sEi3UUU8c8tOkpsdmjGXc3JYsyIVhtEg/c1OBHSc1qtsji3OgOIujfWIUhcRO7nEI3n4H3hdQJced3JMkByeeD7bPe/6t2SltlFBOuNB4IaYua3Xvqh72favSvAvdNFvthg487P2bZPU8v3CCU7j1dhEV9fBdZbPoOb28scbG9ziAKiIfc3D81NsuXp47ver1iZjmSr/FhOyU63dDjam+DII4w7mJyIxSdvH4EkCiKis3twVnNTqt8FfWhoZ+tWo/gRy1ifELZxVRriD0Oa9b+Q5LER4gqQjGBBAUTIUqoaiXN0PuESEiIN2f2SnqBZ2tP8ZWxZ5mwR3cNrhVSqW5Rz1PQckxZ45T1Iv/j4ndZ9XbKW3phn++s/IQzhWNktJ1VrzffuMbNmw2klBQKNl947jSWpXPhwgoXLyzjBxFjYwWefOIw2ZzFlStrXLiwguP4jNTyPPrYHOXywQly1/XQVZVT4yUO1cqM5LJoqkAmCW23T39zFs+JuoSJxyBqIhSdGc7uuU6hKNTMMl+f+CILzjJHc3NM2ePUzMq+Lpu35M5lo0TZKDFtT2BrFv9+/ts4d5jHdKM+F3tXOZSdIbeNLHbCNqqi4sUua/46M5nhjq1JkvBe+zyvNd+lFe62kS7qeZ6sPMynq49zKDNNUd+UpiQ7TYi2YKaDeplIBpHDut+gHzlMmqO7lyVdh2nprC40mT483Gjqk6DuN/n+ys95YeP1XWR7xKzylbFn+XztU1TN8q6BrqIo1MaKlKo5VheadJp94ihG3Sb3aG30WF9KZ6ETmdBp9NlYbu0gi07fY22xiaJANm8zPlMhDG4/IBKZsL7U4t/99z/hnZeuoBsa04dHyBVsgiBk6UadjZU2Gyttlq7XMU2NP/vHn99zn889fYS//7//Gv22i+v4uAOfX37/ffqde+uNyGRNJg7VyG3GWQz6Plc/WmJ9qYWVMThyepLJueF95qcfm9syObgTndaAl3/4Ad/5Vy9z89JqepzHSxw6NYGmqXRbAxavb1BfaTN/eY3mRpe/+7/9CmPT5aHr+z0ePKTroU9PkoQhgbjJncWmiz9dZuxkkeb8gPq1HlZep7vmEji7n9dCU9AtQWncQhEKY0ey3Mx0Wbnc58a7HcaOZhk7klYE/X5M6KaDyW49YPJknuf+l7PcfL/D9bfT+9OgHWJmNb74j2ZZutjn0stNyhMWj/zBKDMP5UnihH4rZPGjTTnskIGpZgrMnMbokSz5EZOp03ne/NYqg9btAbc1dwg1myVqtYg9D6HrqaFJAoqqEnc76cD3LtBsHT1nYBQtjKKJ0FSKRyqEToC7/smyFm8hkRIZBakC6VeArFZmKnOKkjFBXq+iKXu7rCukcQ66MLHJU2SUspykbEzR9BdZda8wiFokSLylJvHARx8toBezkCT4yy2EbSIsndjxt36/BDBEhpo5h63tVNIMwtZm3mI73QZNA0WQBD6KphEur2xGTQiC+UVQIG62U1WHEHhhhD45TtTpEDV2xqUJRWU2+xBVc7cypu7N80mator6KGP2UcrGJFmtgi72Pq4qAlXRUnM9CiTJKGVjkoo5TcNfYM29tn9P5jZI1ydca5FEcSoJNfStnj9h6mnfIWnFz7+xuoN4SS8gWNzYDK1XsI5ObcUnmDOjW9svwwh/uU5yx0STdP1dkyyKoe1wUL0XKLoG2yWYm9VQGTy4yZgHAen6O+5FSRjR+tbLhHu4rN4LkiAkWNmd2/nbjvsii6H0eLv5l1zo/oxB1OJ+GH80xIzjxZVr/GDhIpoiKBrW0EptEA9n9mN2nofKk/xg6TyBjPHjiKu9Oh+0l3mievfcwvSiuT+JZdV+FCdcJkFSMsdQxXAJYcb6EnHcwvV+ziB4gzheJyFCUWx0bY6M9SUM/RxiiJPqvcISJg8VT/LV8c/d1c0U0v3PahmerDyME7v8y5t/RSBvX8CShCu9G5zvXubJysM7Pvu9773H2bPTjI+XyGYNhFDodl1eeOECRw6PUq1qvPXWDUZGCkxMlHjllSvUqjkmJ0p88MEChaLNQw9NY5oHa/o9VC0zms+hCoVYSla7PfKWyYnRGn6cR0HSj1p0gjVyWplIhijK7vMmjiVeEKEooKsqumJwLneaWXWOjJJBugnWPq5Vaf5msoOE5/UsXxh5mgvdq7zefHeXJPVS7zrPjTxDTrv9Gx/JHmXemacVthk1R8lpuaEPoVVvg7daH7Dqru96r2KU+FztKb449hkmrNsTA/X2gL7jM1pJ13lrAsYPIuJYplp8y0DGGtPmFO3Apb3hkR0NyFg7zXjiWNKu91EUcAY+UkrEfT407kTdb/LdlZ/x4sYbdO4giuPWCF8d+xzP1p6ibBT3fEDXxlOyuHhtg3ajT7/nUdychPC9gMZqh157QL5oo+kqndaA1YUmh0/dNpNx+j7riy0MU6c2USSTs+g0bw8SfS/k47dv4DkBZx4/xOe/8QjjMxWsjEEUxqwvt/jl9z/g1Z98RHO9y7f/5ct89g8fZmSyNHS7D5+aYOrQCIEfEvgRnhvwwWtX75ksHn94hvHZKvHmzOfqYou//mcvsL7UIpOz+NQXT/OZrw2f8MoW7KGTCb4bcP7NG3z7n7/E9YsrVMeLfO7rD3P2ycOUqjmEKnB6HtcvrfD8t9/l6kdLvPjd98jmLf7h//Hrv5ek/pog8jmCGwvoE6MMGwxffmGV9rJDf8Nj0PDQLY33vzVPZ2X3OTZ+LIuMEpYv9um3AqbP5Jk8maO55HL1zTb9ZohdSH/XQTvYMlG4+V4HfxCjGcpWtRFg5VKft76zimGrW+Qu9GPWrg5or3mQQG/Dx3cili/26DVSSabTjXjrO6sM2gEzZ/KsXxuw9HEPoQlOPVth6mSOS6/elh+qmQxqoYgiBIauE9br6NUa/vIiaj6fNmMOgZbJIwyTsN/ZMVAuHCqRyITIScPrhf7g2i/8fhN/0KQ4cRKvu0HofPIBaIq0mjedOUPFnEJT9lY07AdDWFTMSXJambxeZdE5T9NfImr2iZp9wvYALWcRdRyinou62dcW7zDDSeiFdXphfRdZtNQcBX2UVeUKcRIiHYdweYUkjkmCgLjV2VxDPDQuRdFbJL5PtHZnv6ZCRitR1IePd1bcS8j7qCoKVEasw0xmTlA2p9D3Id97QVEUDNWmLCbJaiWyWpll5wJNf2nTX2Ef3DK5aacmN8LQthxEFcvAmEonAWUY4d0RjUEs8a4sp2RRAevw+BZZNKZHtiqL4Xob2Xd3DeWlFyL9kEQmWxOKaiGDcp/Xg5oxd8RwJFGcRv4ctB/x14S4t9vox728tGUe9J8i7utpvuC8x8XuLxhETTTFZNI+Q9GYxFJzKAckXNUheXdXuw10ofLN2dMcLlR2uTECFI3hRCyrmTxUmuCh8iRvNxbS7Ry0+PbCBxzOVamY9y/tvBtMtYSplu66XCy7dAf/moH7LUhiVLWKohjE8Qp++D5++CHF3H+JZX4GoXyyfrAxq8bT1ceYsIdXiYZBURRs1eLJyiO83fqQd9of7Xg/lBG/rL+xiyyePZtWiOuNHuMT0wihsLLS4uPzS2QzJrmcSbPZZ2Ojh5SSixeWCY+MEgQ5ms0BGxs9fD86MFlc7fR48+YSAz9A3SQrj85M8PSRGZLERBJTMSbJqiVyWoWiMU4odw+Meo7PR1dWCKOYkXIey1DxgohYSjp0UVXBWLVAkiREicSJQmw1tVMWikLbd1lxupwojaKSvnaLdH957DO82/4I947JjSV3dQcJBwiTEIlk1BxhNnOInJYbut8fdS9ytX+T8I4HniEMHi8/xJfGPsuEPbpD9tPsDriyUGe9lSNj6VQKGRISVuo9NFVgmzpxLFmudzANjW7fY73ZxwsjTs2Nom+bBVSEgmHpNNY72Flzl7xoL6iK2HdCd8Nr8L2Vn/NC/XW6dxgyTdnjfG3883ym+gRFPb/vQ7o2XtzqL2w3+nQa/S2y2GkMWF9po+kaM8fGUBRYX0p7+24hSRKcnsf6cgs7ZzExW9v1fVEY02kOOH5umr/333yV04/PoW17cMaRZGK2xs1Lq6zMN1hdbPL+a1f50p89MXTySwiBlTGwMikxj2OJpt/7bTlfzJAv3p6AUISCnU0fypomqIwWmDl290mj7VhbbPH8t9/hxqUVSrUcX/zTx/nj/+IzjE7drhomScLpJw5RruX5//7fvkOn2eeX33+fZ75ylrNPHbnn/fg97h2KkUr1RC6LefQQwfwi0rl9v3M7IfNv3a5ixGHIykft4StLwMyqaIZAUVM1gdMJCX3JoBXSb97+nFA0BDqSmPZqQHetsyVVV4WBlBGDluTG6yGaEICJKnzcNlx5eUAso83lJarQcTo+jcVUjh04MVdeb6NbAkUoZEs6uYqBqgkCJ6bX3Nnn583fRBirJFIiLIuo2UR6HmGjgfR9Erl7QJ6ZPERm4jCqadP66HXskUncjUX8VpvO1SaRExI6AeHgwVUV02MsEZpJfuwoeqZIMGgj45DtI/XA6dC4+ube67gDCgrj9gkO5R6hoI/eF0m8E4ZqM2IdxlAzaIrBhneTKPG3SOMtxP3hEvpB1KIX1qlaMzsi1lShk9PL5PQKnWANOXAIgwCESuLfvVczCUPClbVdr6f+AnNoYrfjuB87NPyFe+4ZFKhMZk4ynT1LXq994qg4RVEw1Syj1hEMYSMUjbp3866EUToeweqmyY2pp2RRU9ErBUQ2HRMnYYx3bSdZTKTEu3o7e1Qr59EqeaJ6B3OyujWJ4t9YHW4KIyXhegtzbhTFTI+rPlJKexnvA2oxi7bN/TTuuUTtB3htPSCEKzurrELX0GvFVA78Cc1zfldxX2f+1e7LeHEXgcoj5T/mSO7T5PVRDDWzpdkGbt/7hty39CGOoU/WZgilZHHQQRcqtqbvGpDqigpDIjGEonC0MMI3ps8y329S9wd0Q49frFxm3C7wF3OPMWINH4T/uuD5v2TgfhtDP0PGeg5NnQB0ksQhCC/Rd/+KgfMtNHUSQz9139+jKoIpe5zThWMHHtDfgqIoFPQcz40+w7vtj3bcWiWS853LNP32jgrPV75ylqtX16g3+vzNX7/Ff/W/+RKqmjpoFQoWhWKGL37xDIcO1QiCdICQy1uUylk+++wJZmaqmObBT8WPVzdoOS5nJ0e3DHdq+ezW9qtoGMKmG26wMbhBnITktN0SvCiKaXTSylvf8VEUhVLBpt11mZus0N18CIYy5kJngzCOURWFjG4wCAMyms7lbh0/jnistlNSfSJ/hLyWxb3D9rwT9pB3yI8yaoaqUcWXPtcHVzmaO05RL+5Yphv2udi9RmOITfqx3BzPVJ9g3BrZ9XtHsaTeGTDwAmbHyoxV86xsdKm3+4xV8nT7LrGULK61qRSzrDW6aKqK4wb4QbSDLGqayvhMBaGmA8K9pIt3whjy8L6Fda++VVHs3dGDOZuZ4mvjn+eZ6mPk9dxdz+XKWIFSNa2gtut92o0+s5sEqbneZX2xSaGc4ciZSQZdjysfLrG20NyqkIZBTLvRp9dxGJ+pMrVHr2CuYPOlP3uChz51eNegTNUER89O8fjnTvDdf/0KJAkX3rnJl/70cT6RbzUwCG9iqlU08au/jwV+yPULy7zz0mUURWH22Bh/8Lef2kEUIb3eMjmTx589wZufOcbz336XdqPPi99///dk8deE4MYiwrYIrs8jw+hAcsu9UJ93uPJ6m2xZhwQ6awGrV/o7qoUAGaNC3h5DJjF+2EMoKqaWAwW8oItMYhRFbBJHHUOz0VQb1dMJogFZs4qiCGQSI2WcXrODhV1D+ciX3HyvgxBKGiCvKKzfcFi7tjPoOmrulnXFm06v0h0S5g3kD50i6LaxRiYRhoE9cYig1yLoNPFaLrEboudMYj8m9u+/z+1OqLqFatjIKCBTnsAqjJDEEdvJotteOzBZVFAYtY5wJP8E+T0izWQit4xWQukTJT6gbEkls1qJjFbcMr65BaEISsY4IpfmJm54N4mTg5kLpTEZddyosytqLaOWKOnjdIJNM5YwAg5+jO8MjoeUhI7ZR4cuX/fm8ePh58FeSAn4cWZzj5DTyoghrttB7OLEHdyoSyh9JBHpcdUxRYasVsJS86h3OKBrQqdspooWmUTU/QX2U+hJNyBcbsBDh1E0Fa2UR83ZGNM1FCFIpCTuOoSrd1wHMsG7tkIiZbqcKjDnxpEDD7Wc33ok+TdW93Qb9a+vkHno8BZB1MfKaOUc/ry4p4qgsIyUaOZvF3zCRpfwgOH0v064l5fSeJBMstVjaR2fwr28mFZgf81QEKhom5MdCamAXEXHxMdN/UfuVqH+hLgvsrjhXyVOIsasEzxU+jplY4pu36fjhZQKZvqAUAWrGz1yGRPL1FBVgaoKFNLZymEzX4aqcrm9wS+cK0xli2Q1Y1d18bnJo8zmh/fDFHWLL4wfZ8np8Fc336UduKy6Pf7dtbdo+g5fHD/BufIkOf2T9wbeDxzvF5s5iv85lvEUyrZZKtN4Apn0cL2fEkbXMfRTbLT7dPou5UKGci4zvO9sCHJalunMBAX9/gaVuqJxLHeIEbPKur9TV9+N+lwd3ORJI60uJknC8y9cQFEUgiDCcVODgomJEo8+NkcYxfR6LlIm5HImlpXn4YdnQFG2Xs/YOvo9VFOSJOH4aJUvnzq25zHphhs0/EUyWhFDyZDRdscHZDMmD5+YIgij1NghllSKGVo9h/FqgU4/PU8kCW3fZXHQxlQ1AhljCJVxO0+cJNzotzhXnUTfJnWyVYuaWaEetHaQQz8OCJMoJVub5/aoOcYgGnClf4VIBkza07vI4oKzzIq3vquqeEtufDQ3t6snFWC0nOexE1NomkqtmKWYtQnCmIylU8zZOH6AoWmcPDRKIWNRztvkbJOMbaDfEQYfR5J2o48QgiiMkTI50Dlpq9ZQorfm1fnu8s94sf46/Wjn7OLh7Ax/MP4FPlV5hJyePdCkh5UxqYwWsLMG7XqPTuM2+Wysd1lfalEoZzlyeorVhQa+F9JY79JrOxQrOdyBx8ZKGxknZHPWcGMZBYrVHE9/+cze/Sqq4NhmtT0B6ivtu277QdAPLuMqC9jaFKqwCeI2QtHRRIZIDhCKjanWUO8SE3MQ9NoO1y6s0G0NyBVsjpyZ2tNoR1HSKubDn07JYuhHfPj6NeJIomoPRqb8e+yNYVK9+0XgSq691b7rcrpmY2p5othFGAJdTaskCQlh7BGFfTJGEQUIYw9VpEoETZigQdaqIWVEFPsIXSOW4dCqT5JAdyPgvR89ePmXZudoX3gHqzp+a/y1hdKJGu76gNxUgexUgbXXFwk6BwtSvxv8QYv6ldf2XSbyDzogVSjooxzJP7knUewEa2x4N+lHDZyoQyQDok2DFVXR0ISBrRbI6WVq5iwFfQxN6Nu+QaFgjDKbPUcoPZr+MskBB6a9qE433NhFFk01Q0EfQRcWofzkx1VBGZr/feucWnEv3nNVsWJOM5s9N5Qo+rFDK1im5S8ziFp48YAoCZBJhIKCUNIJa1vNUzBGqZmz5PTKjvWoikbJmGAq4+HHA3r79DBK97bJjSIEim2gVwsYk+k9OQljwqWN3fmCSULU6BI1e+i1dExhHR4n3GjtCJ0fFptxC87H8xS+9DhqMZtOxmcsrONTeFeXt2I4DgJjqoYxPYK4NdZLEsL1FsHywXo3f50I19sEKw3UfGYr5iL7+HF6v/yA4DdAFnVMMsoISRITEmIpGSQxBhYxEXES0WR9qIvxg8J9kUUv7pIgmcicIaOVUBTBRqNHzwlYrXdh01Bjtd5lZrxMq+NgmhqFnMVIJUc+aw11SHunvkQgY744eYzpbHFLYrgdc7m9jRMURWEyU+RvH3oMTRF8f+k8C4MWK26X//HGO5xvr/JweZLjhVGmMyWqVpaSkcFUNQyhoj4A6YbCcCIMEMWLaOo0mjq+gygCCGFj6MdxvB8hZdrDoArBwAu5trKIbeqcmBlhtDS8n207inqeKXvsnquKW/uwKUc9kT+yiywmScLV/jxPlm9LUbMZkwSwLZ0//dPHsW0DXVf54nOnuXZ9nSiSaTaTKshkDD772RNcu76O76ckTdXUe3IS1lTBO/MrdFyfvGWgoHB0tMLpidHUClz69KI6MSEj5hy6MFGV3dUt29Q5NFnZ2q9bGNvMLCptzoDpisqJYo2MppPVDLqhT8mwUYVCzcrCHke6qOcRKDsu34SEUEYkJFufWnaXcGKHQ9lD2KpN/o4eD4CbztLQDMhJe4wj2Vmy2nB5dq2UpbopT7x13kyNFLftc/oAmKilctuJWmGf8yshjiRxLHeYwtwNKVnciTVvg++u/IwX6q8ziHbO+B7PHeIPx5/jaO4wprgtd111m+Q0m5w+/LuFUKiOFShWc7QbaWUR0nzI5nqX+mqH04/PcejEOFEYpX2LzbRvsVjJMeh5rC+lM7PZgsX4zG5XT01TqY0XqY0Vd723BYUtoxkS8Nzwgfi4xYmDKiyc6Cah7CKTCKHoWOoYgWxhqiMYagmGODHfwsBL+8yy2yzT230XP4wYK98+77rNAQtX0gF6tmAzc3R03/5UTVcZ33RBlTKhudFj0HMp3INx1e/xuwM3aBPFPlKGKEJFVXRkkmbbRpvZvXHsE8sQL+ylyyYRURygKIKOs0wUewhFI7/ZUy8UdXMdvx74rTq52ROYlVGKxx8miULiICUu2bE8hUMV/IaDqqto9oPLWQydDm1nt0HZ/UAXFodyj1I0drebyESy4l5i1b1C01/c24Ezhl5Yp+5rtP1VxuxjjNvHMFR76957y111MnMaLx4wiA5m0OFGPbphnRHp78g6FopKVi9T0Edo+Av3vuN3QCgao9bh3Zm7SSqHbQer3MuPZ6k5ZrIPkdOru4jiIGyx4l5izbvOIGzuWdFx4y6dcI1msEw33GAqc4qKMYW6jYhrQqdiTjOI2jj93p5VW+n6hKvNNINSVVF0FX28gj6xOX4JQrzrq0M/m0Qx/vWVLbJozIxizK9tVcxkEBIs1fd0C/ZvrqWfrxZQLAMUhdxTp3A+vIHbdw9UXVRMncxDhzEPjW+9FnUd/GsrRPX2XT//a0cU03vpI8y5MdTNsZV5aJzc06dp//itX3t1UUXFInVRTpCYik2Ah5poJOj4ivcrN4u9L7IoFA1QsNT8luxUVQWDgU+jM0j7blTBwA1QgIWVFtPjZZrtARnboJAbPtgrGhbHizW+OHWMRyoT6EK9KzHajkhKeqGHH0fMZMuMmDkWBqlsz4kC3qjf5N3GIhOZAlOZEhUzQ9GwMYWGLtS0t+oT4h8ee5qyOdygRsEgSVySPZqspbw1aE5vTmn1CXRVEEWSnuNTytqYdzGOyGkZauYns6/XhcaR7Ay/rL+x4/WEhBvO7Zu7oih8+SvDXUZnZqvMzO6e7ZycKjM5tTfpvxumS0WWWl1aA4dgU44yUUoHulES0g5X6IUNIumz7F5EVXQKeo0J+8Se69zvPFOFYMzOM2bvJHEJDO2rvQVDGENpZGqMcxua0Bm3xikbFfpRH+2OiYQkSVh11+mGu6MyZjOTd+1L3dMJb4ij6L7rEYJMzqLXHpAtDjdFGYY0huP2smtene8s/4wXN15jcIdj7Kn8Ub4+8UVOFY4xP9ggo9k4sU8j6HKtv8JMZgTT19EUlaxm0YtcFEVhxCxiqybVsSLlWp71pRadRp8wiPDdkPpqB6fvpbEWMxXqax2K1RzdTZObk4/Mpk6oSy0MU6MyWrhN+LZB01Uqo4W7SnC3xwjED6h5X0Enox2iH14kiFuoioWiWKn1PAqR7BEnLhrDCZofRiystwGYqBZo993UQbjvstHuc2SySq2YpZS1cR2f5kY6aeX0Pd5+4SKN1fae2yZlQmP19gBYxpJe2/k9WfyPFEE0IIj2riqowsAJWoSxRywD/GhnL7K36eZ8a+Ask/jXaYwPQO/6eTKTh/Cba0gZ4SxdJ+qn53znaoPsVJH2lQbORh+//WAHY4qqYWSK6HYBRex+nsehi9NY3HcdApURc45Re3iE0Zp7hWu9NzdNCO8OmUQ0gyXcuEeCZNI+ibEt71coghFrlm6wRhAPCJO79xdKYnphg37YpGxO7HjPVguUjPEHQhZ1YTJiHhr63pp7dauSelCM28cpG5M7KqyQkt8F5yOWnYsE8mCy1kA6rLvXiGWAyGtUzKkd4wJDtalaM7SC5b2PRSyJ2n2i9gC9WkBoGsZ4GWNiH3ObTSQywbu8TO6ptLXJnKnhjd12FA/X28Q9Z8/zO/ECei9/hHV0En28kvZdzo5RfO5R4p5DsLixb/SFomtkHzlK7lOn0Cq3HNoTvGvLOB/fTOWev4Xovf4xhWfPYR2fQtFUhK5R/PLjSC+g99KHxN17kDVrKvpICRSIGt3dFeC7IMSnnTQRqAgEg6SLJEZBEBMREf5Kq4pwn2SxoI/TCVZxo/bWBo5W88QyoVrJEkUSXRN4foQQCuViBl3TcLwAU9f2HGRmdIP5fpt/c/ltns8WMYeQxUerUzw7MfzmeLm7zl/efJd1t8ea12N5yOxdmMTMD1rMD341Qa5/NvfwnmTR0E/jeD/H819FFRWEKG/2dcSE0TU8/yWEkkVTbw/+CxmLWjGHZWhpNfYA43NLtSjpO2WXkXQJZA9DFPDiOgoqceJjqiUi6RHIDpZa3cyPTPsex6zdJCQhYXEw/Kb068KpiRGmK8XUdnnztdymnl4gMIRNQR8hTiJsNUco/V2upPeKYUTqbj/F3eY5vNjDlx4KMIgG9KIeNwY3OFd8mDH1thmJE7u0wy6+3DnrmGZZVSkb+1S5HiDiKKax3sHteeimtsMhbT/cyvUEaAWd1Mxm47Vd0SJnCsf5xsSXOFc6hYKgEw4IZMSq2yQhwY8DLveW0BQVXWiMWiWc2GcQuQgUpjMjVDdNbuJI0m4O6Hddem2HjeUWmq5RHsmTL2UolrOMTZVZmW+wMp9Wz52ex/pi6h46PlMdWkkTqtgyjvl1I28cR1cLZDiMpU6QINFEHlWxiESVhBCF/U2i3CBMHYSbXZo9B01VWdxoo6kqzZ6D4weUDtuEQYy76W7Yazu89MMPeOmHHxx4W5Mkwfd+u+zQ/2NEcdSgs/HgAuMfFGIZEMu797bFMqTn7TYr+XUgDjzCQRdFVZFhiNANFFWFEPrLXYShYo9kEKaGs3awzOaDQNUt8uPHKM8+hG7nUYSaGo0kAAlx6NFfv3FXsmioFrPZc6jK7mu+F9a51n/rwERxO9y4y8LgQ2y1QM2c2VEJM4TNmH2UTrhOOzjYOKAfNeiG65SMMZRtE/KGsMjrNUw1hx/fcXyVzTLuAc5rBUFBHyGr7XwOphnIEaveFe7lAsloJcbtY7t8NeIk2qzUXj4wUbwFSUwzWMZ2C2TUAva2thgFhZxWoWbO0vJXNvseh6zDDQhXGmmFz9QxZsfQSrl08tkL8Of3kGpLiXdlm8nNaBlzZuRA/Yq34Hx4nf4bFyl+8dFUmqkKck+fBhJ6r5zHu7K8STi3HWdVoI+UsM/MUfzCI5hHJm8T1NUmgzcv4t/8zVz7B0Hc7NH6wevUyl9CHy2lTssTVcp/9DR6rYjz0Q2CpTphswt35C8qpo6as1FLOfSRUkrsZ8fwry3Te/kjonskixEhHg/KNfn+cF9kcTb7GCvueZbdj3DjDqbIks2YHJ3dKzxaodHqkyQJhfzeLp+2qjNq5xiEAfP99tDB+HS2tOfnr/Xq/Murr9/Tvvw6kbG/hh+8Q8/5D4TRFTR1ChSdJBkQBOcJootk7W+i6ydY2ujQ3Jy52Og0mKoVOTl7MGdTUxhktZ2ENZBdesFNCsYRWv5FTLWEFzUpGIdp+5eQRGS00W1kUWXEGl6dbAUdJBKRCELZQ1UshKIfqAocbzaBp5+5P/vltuPyweIaa70+URxjGzqPzkzw0NQ4mjAoGRMkSYIb95i0T9AKVuhFdZJE7nhYHRRJkuDFPp2wRz8a4MQuXuwTJiGhjJFJTJTEyCQhTmLiJEYiuTlYIt4nS0siCWXIDecGqqKiKRrNoEFwxyCrE/Zw4t19HfbmpIC1Td7jxV2a/mUG0QY5bZyKeRRT3S1r3Q+BHFD3LuJEdcrmYapmmmuqbLq9uo5/T9EOtmqiAP1owA9Xn+f59Vd3EEUFhXPFU3xj8kucKRzHUk0GkUc7HND0u7TDPgU9g1AE3dAho5kY6LSDPpKEQeThximxqY4WKNfSXt3OpiNqu9FnY7lNsZJlZLKMpqsUq1nGpitc/mCR9cUmYRDR73o01rqUR/JMHhre/6OQqih+E8gZxwDQRTrQSCfq0qriLRn1ftegqWvkbZOBF+AFEUEUAwqOH1LKacSxxNlG8G499y3bYHy2QvYepMfZvIVpH8zd+Pe4f0ydyhEFPUI/JnAf3MyyYRUpVY4gZUSndYPQ7939Q3dA0zMUynNomk2neQ3faz+w7VMUwdjUE+hGlsXrL9xXZmHx2MOgKCQyQug6Qi8hNpaJgdKxKrnpIiigZQzc1R7uAxrXmoURakefRLeL9Deuo9t5srU52gsfYebK6Fae4C6T2QKVkjG5S36abIaJ3+y/Ry+8/16wQdRixb1IViuTFaUdlbCCPkrJGKcfNjeNcvaHHzt0ww186WCpt30UFEWQ0YqU9FHWbpFFTU2zBE0DYRrE3QFqIUfc7pLskcWnKjqj1pGhz/ZOuEH/Ho/DmHUEWy3s8gDohXXWvGt4cR8UBS1XIolDZBiAjEGo6QR2NHw74ySk6S9RNiZ3kEUATRjk9RpZrUQvGt6DLF2fYLmRms1kTOwTMyiaShLFRPUOcXuPCQ2Z4M+vIf0QYeqotol9em6HE+peEtStVQw8Oj95C62cI/vESdSMiZq1yD97DmOyhntliXCthRx4JLFE0VW0Yg5juoZ9chZ9rJROxABRu0/vlfP037pE4h3MLOk3hf5rH6OPFCn94afQKvmUME7WKH39aewzcwSLdcJ6B+n6aQ6mEGkVMmOi5jNo5Tz6aAltpIiwTTqev9UD+buG+yKLR/PPcK33KmveZc53fszZ4h9S0Ef3HfzXKnc3W3liZJrjxb0IZ4qi8ckiJX6TMPVzFHL/kL7zbRzv5yTJYLOvXqCq42StPyBr/zGqGMX1mzh+gK6pRLFEJgefGdMUDfMOB8okkfhxm154Az9uY4oSMonw4yaB7KDf4bCYznYNl5BFSUwQh1iqScv/kIJxDEutcZCypxtvEMYdcsYhhHJ/ErX3F1f5YHGNxqYMNWsaZE2Dh6ZSPbwX91nxLtMKlnHjLl7cQxfWnR4G+yKSMY2gxbK7xrrfoOm3aIUdemGffuTgxj5hEhDKmFjGRElEjCSWKVmMkbtcT++EJSx0XWPUHKWgF7GEiS508ndEZwwiZxeBhFRunFHtHQShHdxgxX0PTTGw1cr9SROSBD/usuq+R5T4VM3jhH7E8o0NQj9k0PPIFuwDu6HaqoUfB/xs/WV+vPoigztc6Uxh8Nzop7eIIoBMEqbsGpZqMpMZJZQRk3aVQ9nxNJ5EtfBlSCgjRowiZSMlxNm8RWWkgGnrdFsDOs0BrY3eFgkc25Q/Fys5xmcqhEFEq96jsdqh0+jjDnymj4wwMbf/fei3Adudpw8yUeMHER3HQ0rJzEgJU9dIgHOHJwjjGMvQKG3asKuairVJ9orVLJ//5qOcfOTuebW3oOkq5dpuU6nf48FC0wQTxzNEQcL8hz1kvP9zQtNsqmNnaDeu7kveLKvExMzTRJGL5zTviywaZo7a2Fksu4Lvth4wWVSZnH2GTH6cpRsv3RdZ1PIlokGXyB1sDZblpl1+drJA2A+QkcQoWA80Z9HIFNHsAvWrr9O49hb5sSNoRoaVD36CVRyleuixu05qCkVjwj4+dLl+1GTNvconLTfXvQVGraPYWm5H9VITOmVjkoa/SC/cmXWoGQK7qJOtmLidkM6qCyT0oybdcGMHWQSw1TxFY5x17wZK1kQbr6XOqFGMNl5DdVxENoMcuHuSRVPNULNmhryT3LOxjaYY1MzZHf2V6ZoS1r3rOFEbAKNYwRydSvtcfY8kChGGQdhtE3ZbOyts2+DEXbrhBiPy0I6IDwUFWytQNMb2JoteQLCcvicMHbGZtSj9EO/G2p7fCRD3UqdUcy5VLN0yxoHU7fRulUWAYKlO+/uvk8SS3JMnUbMWwtCxT81inZhBOh7xwAMpUXQNNWcjTH2HxCrcaNN75TzdF94n2ngwfbu/SiRhROcnb4NMKDz3KMZkNSWDpo59Ygb7xAwkCTKMIJIglDSDUogHEl/z24T7IotlY5pHK3/K6/V/y4ftH+BGXSYzZyhoY5hqdvPGsv+BympVTHVn9atmZTcNQ4aj4Q2I74E0/bZBUTQy1tfQtEMEwQdE8SoJAULJY+jHMPVHUNUqoDA9WmR2vIShadQ7A9QDDsxTxzkVVex8uOkiR06fRhJSNI5gqyNoIoOiCGrWoyRIMtpt6aOiKGiKiqaoREMknE7sYqkmveAaoRxgiAIF4yiayNIJLhNJh4JxBFOt0N38t6lW8OMWftxEEzl8pYGljqCJg1csADqux+mJEWxD3wqZ335eJIlEU/QtpzVLzVMxpoa6hd6JQIYsuatc7l3n2mCem4MlVrwNBvv059wvhCIQisHh7JEtY6RRcwRT3fmg8mKfSO6WphjCQN+UCEXSpxsuMt9/GSeqM24/jK2WMUQWL+7Q8q/jxmkuatGYpWjMEMR9WsF1BtHGZl/nNGXzMIaaY8w+hxPffmglSYLnBHTbDicfnWVjub3D0XU/aIrGS/U3+e7Kz+gNOY4JCcvuGm7sYYrUeCWv2zxZud1jur1yttffIZWJVkYLlCo5Os3BlivqrRiNW9EPuYLNyGQJw9TotV2uX1ylvpY+vLJ5m4mZ4ZXF32UEUYShqViGxUgpt2VoM+w42lmD8kj6vlAFIxMlHn92757f3+M3g34rZOyITa8RHMgkLJMfY+bIc/heB9/r8KvUr4aBQ2vjEppu4z1AovigkMQRmpVJMxg3nyO3qh/d6038tkdupogMYmQUPzCDG0XVSKIAp7mEjAISKVPVi1DxOmt4vTqlmbM0rr+95zoMYVE2Joe+t+ZdO1A/4d0QJT7tYJmyMY6t7VQJFPVRMmpxF1lUVIXCmE15OsPGtR6dTc8VJ2zTDdapmjszFzXFJK9XsbU8QUZgzE0iu32iegu1lEct5UjCvVtIhKJRMsax7lDPJElCIF02vBv3tM95vYatFXYVPoLYoxOsEcr0uOrFCnq+lFYSZZRWlVSV2HP3JW0yiXCjLl7cJyd2KrdMkSGn7+3lIL2AYJvJzda+BmFaHdwHSZLgXVnaIotb6wxCgqXGgSMw3IsLSD8kavXIPnYcY7KKMHQUoaSyyz38SGLHw7+5Rv+Ni/Rf+3h3xMdvMeKeQ+sHrxO1+2SfPIl9chqtlEe5pTBSFIShwz7Rk9IPU+fXxTryt7yauhfuiyxe7PycXtRAKCpe1OOD9ne5OXiToj6OpRY3Z0z2f3I9Uv4mE/bpA39nkiS8vbFEP/L588Pnhi4zaud5bvz4vezKA4et7h9Wqigqpn4aU99/31s9l/am41K9PWC8mqecH94LuWP9KAhF7DJWMdQ8ZfX01jJJkpAl2XRXSrZevxO60Ini3TdrL759wgdx2ru67r7KWOazeNEGvfA6oexSMI7R8j9CFwVUxd50A+3T8j8ko01gqvduxJMxDCwjfXgtt7sMgpCJ4u2HRUYrMps9Rz6o4ccOurAw1f2rmDKRdMIe77Y/4q3Wh3zcuUw3enB9KsPgxR7NoLmj+f7m4AanCqext02kREk8dJJEF9pWzmSCJJQOoRwQJR6+7BEmDnES0vAus+q9jyUK+LJHL1rFEHm64SILg9ew1TKBHNAObpLRqpjq7oqQYekcPj1JpzUgm7NwCvYuu/m9cKF3lffa52kFnaGzvL4M+MnaL8nrOT4/8imyWmbXubidlO7191uojBUoj+RZX26zvtym33Hx3IDyaJ6RyRJwq/KVpzJaoN9xuXFxheZ6F93QKNfyFCq/28YstyTDkJrPSCkxdY0jE1UMTd3lNH3ncSyUs0wfGeX1n328eXxWkbFE/IYkuL/HcGRKGkJNf+uDKOzzpRlU7dejzgmDPhur7/9avut+oJo2Ya9N7A5uZ1PK9FnXulgniSVJnODVHZy1wQPj1UkcIWWMqlubXxmRyAgzX8Vtr6aTnebe9x+BSk6v7jCfgXTSLSFhw70OikDRtU1iIbbITCJlSmaSBMUw0IoF4l4f6XlDSU4rWGVSOtjsfCaYaoaMVkRTDKJtDp6JTLDyGooCXv/2BGeY+PTCBm7U20GIUuf1IiVjglXnJuHiGkkYIl2faK1BEqRO0kk4vKqoKTpj1rA814Smv5RKRu8BZWMSbYhzej9qbOY0psco7LbSv0kJJKhWFtXOptJORcA+lW5fOvjxgJy+c+yTZjPmdh3TLUQxcatP3BmgVW7/HjII9zS32UKS4F5epPjlx3e8HK63iAf35uzp31glbHTxrq6QeegQ5vQIWq2ImrVRzJQ4JlGM9APijkNYb+PfXMP54Bre5SWk88knMn7dSPyQ7vPv4W1mTlpHJ1N5abWAyKQVVkW/JUOWSD9AOj5xd0DU7BGutfCvr+JeWiDuP5gInl837ossvlL/V7SCRbbfPbvhGt3w4KL+w9mn7oksRonkQnudbujtSRZPFsb4P5z54oHXeX+QwF5P5YSSYe6IRbjz/TBaIowuE8cNEgKGPYEs42l6TpFW10FTBT3XpxrdnSjeDbe2Ka0iyC15wH1FbGz7SME4Rtk8wwfN/yd54yiGWiSvHKIfzJMg0UWBMfsZdDVP0/sQN14jjHtUrHNo4t4H5SfHa2hCEMaS1U4PVUTMVko7lvFjh06wRpyExElMKD0O5R4duq9xIqn7DX6+/iovbLzKhr/3rFcqE82S0zLYqoUudAxFRxMaqiJQFXWz/1Dlg84FNvzmnjKYRlBnyV3kVt8ZwJK7xKHsTgOn20GsO6Fwe1JAFzZj9jkG0Tr9cI2j+a+Q1UdxoyYN/xJOuE41d4ww8OgFy3TDRZr+FbrBIrXCCZJQblYZ60PJIoBh6sweG2Njuc3EXO3AMtRf1t/AHdJzuR3tsMsPVp4nr2V5svLwpoPq/aG6SRavX1hh8doGUkqsjEFtvLgj8qNYSZ1RF69tsHB1Dafvk8mZjM2Uf2N9iQ8KuqGhbUrnPDfAcwJ0VcU4YJ5poZzl2NkpCuUM/a7HxXfnuXFplSOnh1czfo/fDIRIpX+5ir55Pe6+T5hWiUxuDMPMUR05jabbVEfPkMmNbhEE12nQ6ywQhTsHjkmSbPYeHsKyK6iqThwHuE4Dp79OHO28roXQyRUmyRVunydB0KfbnifwdsvOhNDJ5sexMhU6zWuomkU2P4Gm25AkBH6XfneZwD+4uUO6f6dRhEZr49KeFdSw10pjvjRjU8aabPVxySAljYPlB28qEfkDYt/BzNdg5RJx4BAFHtUjTzCoz5MbmSN09/5eRVEpGmO730gglD7dsIE5N41aKCD7g5RChlF6skQR0vdRNA01n0erVYmaTYL5hZQw3oFB1CKInV39/ooiyGolDDVDFAXbXgczp5OrWZiZnfeaftSkE67tqp5ZapaSMc5q5wr+pRu3j9Pa3XoNFSw1R8nY6bKaBpRLlt2Ld/n8bhT0kaGGQXf2ZwatOkHrtvJGL1bRsnliz7lrBTpKAsJk97FWFAVdGJh3HNMdn212aX3vNbTq7Wd03B4Qrt7FyEgmuB/fpPX9nfmewWL9vtxIZc+h/8pHuB9dT/MTp2qoxRxqxgQhSMII6XiE9S7B0gbhahPppvuk5vPoE+MgFMKVNeLOECPKjTbdF99HK6Wy5WC5gRzsJJkin8OYniLaWKX9ozdRNp9tUWuvCYKEuOvcPgZJejz3qwTfiWB+nWB+Ha1SwJisok9UUAtZhGUgDC01GwrjlCj2BkSNHsFak6je2XWcD5/LYmUEcZQwMmOhagqNtYhGfZXW919DAYojBkdLLqe+lsE7W2PlusfCRYdCVWfquM2F17qomsKRh3NohsK7P2+TKagceypLc9DY8XvHffcTOc/epxvq6C6nqHuFqea51m3Q8l3m8mVqVpar3QYrzvCbZBBHXOs19pSpJklCTjM5VRof+v4nRZIkJImDH36EaTyyY+ZIUVRk4gEKsVwiSca4nXV2W7scRgv0Bv8W13+eWLYhkUNpmijmmB37I0ZKWXqOj66pFLMHk2omJMhE7iCs6YMwJiW5MTLxSJKQJHHQ1HFukV9lm/Ti1ixlKIfP6NnbpJJutAbEWGqVrn8FJ1rG0kZIkBiixCBcpB1cxFbHkEmIptiomsUgXMJUK7v6Je+G0xNpU38sJSP5LLGUVLI7yXQ/aiGTmOP5Z9jwb9AMlhhWCkuShHbQ4WdrL/OD1ed3OXRCShCn7HHGrBqjZpWKUaJkFMhrOSxhYKkmhjBS2a7Q0BUNXWj8d5f/Gc2gPVTGC6kMdcKaxFbtLdmLqqhk7+gVVZXh+vcoie7q8iqRREmAF3fphauois6IdQZNWMRJSCD79MIVQGHcehhjH/Ku6SrTR0aZPnIwo6Vb2E4Uc1qGk/mjrPsNlt21Hdu/4q3x/ZVfkNOynCkcx7xLlX4vVMeKlEcKBH7I0vUNVFVQqeUZmSzvOI5p32KVi+8tsHhtAyEUsnmLiSFxL79ryBZscoU03sTp+yxcXae+1mFkonSgz5uWzpEzUzz62RO8+L33uHl5le/8y5f4o7//GWaPjWKYOwdUSZIQ+hGN9S7N9S5zJ8bvKYvz97g/1Bc8kgRCTyKj4YMeO1ulMnoKO1Mjmx9HCJVy7Tj56HafV7t+BWewsYssappFdew0plXEMAuoqolQVdxBndXFt2htXCSObw/iFKFi50aojp1F020su4zrNLhx6YdDyaKqmVRGTzM6+SjLN14ikx8nkxtFVQ1U1UDKkMbaeZZuvkIY3L1vUtVMxqaeYubIF+i2btBtzYPSGTp4d9cXMYs1tGwOGYZEbn/fitCDgt9v0l76GBmlxy1wOvTXbzB68hmylWni0GXj8mt7fl4ogpw2XJHjRC0SYsy5ORTLJPF84sEAYVlp1SMMtwbHwrJACNRCAWHbyMDfFYEgkwhPOsRJtKviZmt5DGHj0N56LZHg9UKsvL4juxjAjXt0g3XGrCM7+vU0YZDTKqm5Szi8X28YVEWjYk7vqrCSpBEXLX/5wOuCNPtxmAQVwI/7xHtEngGEnQZh52BGOnES7bkudbN9Zi9EzR7Nv3kZo1zDnJjCuX6FeHCwfuJgsc76//C9Ay17UMRdB7c7j/vx/IE/oxg6xvQkWrmEE8dDyWKwuEHzf9oY8unb0KsV8p/+FBv/7F+y8c9/dPcv3iSH93MMCsdH6M+3kH76u0XNbko0P7y+tYyiCYQmkGFMcpfecYCHP1/i5JN5Vq65qJqCnVchgbd+ssab/78L5EsaZ75S5uSTecKpBHW2wOFzWd57XiVJ4Nk/q7F+00NoCl/6u6OEQcKF17tUxgy+9J9V+Ov/100Wf/TxPe/rXrgvsvh45S/2Dng9IGrmHN+5Oc+7jRX+4vA5alaWnyxe4vnla9iavqv/IpKSm70WX5neLTONo5hmo4/nBIxPlZEyQVUFsZSoQiCl3DW4uR/Esonjv4amTuGHV1BFDpkMMLTDRPE6ujZHEF4ilh1UpYiqjiCUDLcIiuP9iIH7HTRtDtt8FkXJDZd+ascwDZ2ljQ6XFjYYuAGWoTO5b2B6ioQkNVmR8rZEMRkQxasoikEs+yT4qKJCEF5AJg5CyaGpI9zKd9xcEdGmy+cw2Js3tIJxjED2cMJVxuzPACnp1ISNpdYomacIZRd/MxfOUAvU7CfRRRYnXEHuEUJ7EKhCMJIfTm4yaoG+aLDsXsCXLjmtMvRYu7HH+50L/HT9pV1EUSAYtao8XDzNudIpjmRnGbGGr2cY7rbcmDmeLqPcXtYUKfHcDl3ou8OGSfsrwyG9jNthihxVM3XRLBrTkICtVSjoU3hmBy9uUzRmIEkncGytghd3WHM/pB3MoyoG6+55KuYRtE8wQSQUwaHMNI+UzvD5kU9xfTDP/7z4Q5bcNeQ2E57L/ev8cPV5sprN4ews+pAMsrshX7Qpj+TRdI3lm3UURWHqUG2rX/EWbmUu+l7I6kIzzVccKfzazG2iKCYKYqIwIgpjojDG9yOi8PZv2ljrsr7UQtPVO/7bO4IIIJMzmT46SnkkT2Oty7svX6FYyfHQU4fJ5NLfMQwjQj+iMlZg7vjuSbbx6TJf+tPHWb5R5+pHi7zwvffpthwe/exxahNFTMtAAcIgwul7tOp9Fq6us7HS5r/8b7/xe7L4K4aZURk/mmH1mkN53NxTEu65LRprH6IoGrNHv0i+NMPa0tsMestbk+qB3yUMdvcT29kRVM2k11mkuXEREiiUZijXTjA+/QS+16bXvj1QjGOf5sZFBr1VsrkxxqaeRKh3v4YNI8fo5GOE4YD66geEwQDLLlMdO8vE7Kdx3RZri2/suw6hGoxNPs704c/T7yxy88pPcQZ7G3+E3TZ6togSRZAkRP0Ocg+544NE5A1oL55HhilZjAOX9uJ5SCR6pojbWaO7vHdVTEHsctNMkWxFZfjz8yRhhKKpSM9HZDMIXUcGAWo2g2KYJFISbdSJut2UKO4xvvWiPnESot3RlGWI7A7SB5CpGFh5nTiUu8yWZBLRj5r0oyYlY+f9xt70FbgXsqgJg1Frd4xagmTDuz5cyrkPTJFB2+yZvxM5vcqEfQK5D2E8KAxhY6vD464URR1a2dwOoenYM4eoPPsVVjr/5sBk8bcFUaOJd+Uq1tGd8mGRzaKPjSBsm8QPCOt14nYHYdvoY6OIbIYkDInqDaLmtkrq5oSHVqsQzC/sNkJSQMua6HmTaBAQdtPJazWjYxQs/IaD3OyLVTSBWcmQxAlB2yGJE8xKhsKxGu5qd4ssClPDKJhETkjkBGmUyGwZo2zjNwY4K71UjhtLZJhKwVMiKXeYCVXGDT5+tctLf1PHygr+8B9NcOaZIhde73L4XJazzxS4+GaP17/fJFfU+Oyf1/j0N6u8/ZMWvWZEZcLA7ceYGcHyNYeRGQvDFNg5lfX5Byv3vS+yeCj35AP58qlsFz+OKZnp4GVp0EEVgnPVCfQ7GjBCGRPEwy/UIIhYnm+yutwijiWKotDvefheuOXod/LsNKr2yaVlunaIILqE472AoR8njtcRio0fXkZTp5CyT5JIwuQ6GetZUG5XvDz/DVQxQin/v8MyHkdR9j/8sUzIZ0xUoRxY8gcQJhG+9NFEZnM9XbzgvdQmPAkQio1qFIllCyJQUNHU53asI40kGJ4lpAp1q+ozmvk0cKt6mfbOFM00J+/WTXc69zVkEu94DSCnz1H3eySEWOqDtdnPaCXUQONq/00sNcfh7OMMqypu+E1e3HiNTrjzhisQTNijfH3iOT4/8vR9ySLv5sI2zHDnzqoiQFbNYIjdx8eNXXzp76gi5/QJdJHZInaasBixTiGTiJZ/fXO7JFXzGFXzGJF0tl7P6WPUOEkoXZxoA1PkURD0wmWKxgwa90cWLWHyePkhPjfyKR4unkIXOhP2KL3I4TvLP6V+h1T37daHFPQcfzz5FSbtsaFEeT+omkplNE+xkqWxaVpz7lNHGNvsV7yFTM6kNrFpctNxUBSFmaNjvzZzm3dfvszitQ28QYDvhQReiO8GdJq3B+0//5u3+fCNa5iWgWFpGKZOoZzl8c+d2LdKqCgK5z51hEvvLfDKjz9k6foG3/rnv+T1n5+nVMmBAp4b4nshn/2Dh4aSRdM2OPvkIf7WP/483/lXL3Pl/BIv/fAD3vjFBWrjRbJ5a3M9Ad3mgG7LIUkSKqOFe5L2/B73B81QKI9beIMY3bqVSbz7uHtOE89JpfXj00+SJAm9zgLtxt0dMzXdZn35HZZvvrQp54R28ypCNShWDpPNj+8giyQJod8j9HvIOKI8chLL3tu04xaEqoMiuHnlp1vrE0LHc9uceOgvqI2d3YcsJihCY2T8YWaOfolBf4Ubl3/MoLey7/4Vjj2EIlSCbgvNypA/epbI7eM398ire0Aw8xUK48cI3R6hNyDy0/8a199OzXbuAgUFa4gCJAHczR49/8bNfddhTE8jLItgZQXpOPter6F0h1bCDGGibSc2SmqG5fVC3G5I6O7el0HUohOsUdTHdowFDDVD0RhDc/bo17sDCoKMWqSg744OiZOQVffKXddxJ0w1i9ijxWgyc5LJzMl7Xue9IvWc+N2MVvgkUHQd89As1pHDSM9D0TS0ahnno48xxsexz55COi6oKvrYKP033k5PWSHQqhWs40dRhEq4tELCTrKoZQxGnzlE7AQEHY/WhyvoRYvqo1PIMKZwtMb66zdBJtSemkVogiROaLy9QBxH2OP5tB9xE8LUKJ8dR7U0FFXQ/mgVGcaUzoxjjmQZzLcIuh563kI1NJzlDlYti6KruMtdIuf2+b1y3ePiWz2aq8Hmv10On81SGjGYOJzmU7//QodOPaRTD7n8Vo/n/u4otSmTbjNkZNpk9YaH249prflMH7dxujFOL/3vQeK+yOKDwucmjvC5iduzC6aq8cXJo/yDE0+gizvdqCKEotALh7NlO2Og6Soriy3yRZvz7y0QhXGaqVbKcOz0JOqevYYHgyrKmNoxIrmOZTyCrs0htVmEKKcupkmAEAWEKG9W8vQdOn+Z9NH1w2jq6F2JIkA+Y9IduDQ6A8IoPrAVry8D+pGzlbUoFBtNHU3J4Wbga5IEqKKKKopIOUC5YzZLJjEb/nBZRUkvbLl33sL2/Wz6DmUzS8vvoykCNw7Iaiag0A1dLKGhChUn8vm4s8hDpVnG7dKB9u2gGERNBlGHijmdVj+G9AiEScSSu8rF7rVd7+W0DF8e+yxfHfvcgVxUh8GPg3uy7d4LBT23I0vxFvqRQyfsEcloyxV11Dqza7mMVuNw/rmtfyeJJCHCEBYz2U8zk31qc6wgNwciJkdzz6CpBaK4i6FVUdCQ0gNF2ySmCTIJUYXF3VxuRswqf3/uzxkxK1vnjIrKl0c/Qzfs85O1F3eQ9YSElzbepKDl+Nr4F6iZFcQ92lBXRtO+xfpqB1UTVMYKKYnZBqEKStUcI5NlFq6sIVRBsZqlVLs3WfT94of/7nVe+9lHhMHeN/WXf/ThrteqYwXGpsp3lZQeOjnO1/6zpxCqwsX35mmt97h+YSVVXmgC00qJ5373lVwxw6e/dpZSLccvvv0u1y8s01zv0ljvsLrYJJEJmq5iZQwmZquUR/McOjFBofy7bRD0u4BBO+LCy01WrjjoliAKHryEMvA6dFs3togipOTTdRpUR0+j65+8lx4gjgP6ncUdxFPKkG77Jkki9yaciSQBqqNnOXT8q7jOBjcv/5h+91bbwd4wyyPU334Rv5k6SU584U8R+u777IOGbuUpTp2BRBIFHnHgEvkDArdD6PaIfIfQ7RL0h/fOK4pAG/I8AA6s+AoWFw+8vTHR0OeYphiI7eOYBNpLDu2lvQPr/XhAN9wgkO4ON3xV0chqJfJ6jVZwd/moqujUzFm0XZOoCf2wSTe8d8KvC+u+cpgfJJRt/gX/KUHN59BHaoTr6/RfexPz2BHsE8cxZ6bRqhWidofe87/EmJ4i+8Sj6CObeeC5HNlHHwZVpfvTXww1QtJsndHPHGbtxavpC0KhfHac3FyF1RevcuhvPUzvZpMklIx/7giLP0ilm8mmJNurD5j7i0fZeO0mYc8nO1Ni/PNHGSy1KZ0aI/Yiupc3SGJJ1PPx1vvEXoSeTSieHCWRCYUTI4RdD2exvWPbnG6E27s9EZPOFSnYORU7pxL4kkHn9vu+Kwn9BKEq9Joh44dt+u2YlesenY2Qo4/mWL7qsnr93kyLDoLfKFm8E4/XpqmYmS355HZoQmUiUyAb7h7064ZGdbQAioJl6xQ3B0CqKogjSaGcQf+EOUmpu2AO0ziNyalbr269b+qbgdn6LH54FU0d3ZSgbtsHdQIpe0jpHih24JajoaJsDs8PGFXgRh7toMuYtXlBqRUy6ueIZRs//BiBha4dQlfnCONFdG23lCNOJGvubs24gsJsZmLX69vxYWeBp2vHON9epGRkWXKaHCuMU/e7bHg9cpqJqghMVaMR9PeUun4SuHEPoSgcy30aTTF32HXfwiByuDFYJLjjASsQTNpjPDfy6fsmigC9qL+rb+N+kNey5LUsqiKIt/XUxElMw2/RDftUzbvP3t9CJLt40QIASRKjKGCo4wTxOkKx8KNlQtnC1CbxoyUy8jhCMUiSGKHYCKEjpYuimNhiWL7VHduvp9t/57lrqiZ/NPFF+mGfX9bfYLBNBhwkIT9bf5mcluO50U9T1PP7nvuuEzDouUSRTHsURws8+tkTGLZBqZLl6JkpwjDGvEMZOT5T4bk/fpT5K2sYls5DTx3ZMoa5BcPUmDsxzhf++FEs2+Do2al991coCrXxEl/449RQafro6NBYgzNPHsKwdeLo3s7/fDFDaSR/1+WEEDz8zFHGZiqcf+sGNy6u0G70kbFEN7U0PmSixOnH5vZdj50xefSzxzl2bpqL7y1w/cIyG0tt3IGfuqzaBsVKlrGpCnMnxzlyagLTvr9+09/j4DBsQW3GJgoTKpMml15rE4cPtqLree0h8tQEGYfp82jIs/p+EEcBjrNbgpgkEinDtPI4BFLGlMqHOXzyDxGqzs3LP6bXXuAg1qWRO8Cqjae5aZqR+hLsoV56kBjU51l481sY2TJmrpz+WaiRHzuCourIKGBQv8nSuz8Y+nlFEXs8l5JP3B40DFJGQ3MshaLuWYnbC8k2MjeiHtrxnqXmqJhTByKLujAZsQ7tel0mMavulfuapNUOEPn22wxh2djTh0jCEGfxOiQJ1tQcxDFRv4s5Oo4wTGQUEXVa+OurO3p0hWlhjIyh5QooQhB7LkF9najfBSmx544iXYeguUESRVgT02ilCt7SPFG3jaLrWJOzxP0uQauxFUdzIGxGgchbLRhxGmejWGaqiNuUliZxTBLFCNNIHX5NA5HJEPf7CNsiHkIWw75P871FtKyBUU5zqfOHqjTfW6J/vclgoU1mvICMJYPFNp0L61sGVwDeej+Vn26O5bJTpa2+xN71JjKMib0Qv+UQuQGDpTaxEzLwOlQfnyE3W0bPGDiLbWJv5/1FxgnDxARRKAl8iaopmLag305f13QFTVNob4SEfsy5z5VYu+kx/7FDtxkxfsii14xYvfHgHVcfGFlMNmf4Doo7K1MAX589tcfS6QDsU6OzBEOOrKapVEfyVLcNoAqP7BzEPtiAzP3XZepHh76eMb9M1/nXeP7LKIpAFRVQjCExARaKYpCzDCaqBaJIYhoH/6n60YANv8FJtmvCFVRRJmN+ZsdumGJ4dlokI244S7teV1CYy07v//2hx5rbZs3rkNdtYmLcOGDRaaIpKl4cMog8HirN3DVq5H5hCJskkay4l9CESU4t73q4uLHHurebEFuqydHcLHn9/itMTuTRDfvc21UxHJrQGLGqZNXMrjiPJXeNdb9xT2QxjBv0/PcQikEYN9HVKsK06AfnUVCJkwEKAi+cJ5RNItnflBDrCMVMo1eQFM0n+aQP14Ke44+nvkovGvBW60N8eVs50IsG/HjtBfJ6lqerj5HT9q5i1Nc63Li8RhTFCFUwd3SUL/754xx/bJbxyTKKUNhY7ezqo5s6PMLf+2++uu82ZnIWn/3Dc3z2D4e7MN8JoQpOPDzDf/vf/Rf7Lvfn//jzB1rfJ4GiKIzPVBifufeImjvXky9mePLzJ3ny8796OdbvcXcYlsro4QxSJpgZdU831E8CGYfIX8Fk3i4kkjgarhrad75NgbnjX0VVDeLIRx5AxnkL/flLZKePYpZHUXQdr7FC6NzR/7X99vaADq2MQ/xBizjyCd0uWncDPVPALo1jF8cwMiV0e7gjNbAvQYtv9bBrqSw52db/jJIGhidBBIqCWsiQBNFW7puaz6Qull6w46BL4qHkK63C3fv934k7tIM1qubMDsmlLmyKm+aJodx7sJtGh1TI6TvbBZIkIUz8e85WvAVFUX9nqaKayZI//TCFRz/F4MoF3JUFFKDy6S+gaDreyiLW2ATCtFBUjXjQo/7Cj/DXliFJEIZJ/uxj5I6fRphpewGxxF1ZoPv+mwSNDcpPPUvYadF67QWiXofSpz5H7uRZ1n/w1/TOv4deKFP57JfoX/yQsNO6HUezHYqCWipiTEygVSokUUTUbCFdj7g/QK9VMY8fRR8dQYYhweIyxvg4xuw05vGjaOUyiZSE9QZaqUhUb9B9/kVyTz2Jfe4szjvvpXLV7V+pCjoX1rFH80x97RTrL12nv9AiN1chGgQYRRuvnsbn6HmLwvERkkjSu54q6+zxPHrBJDdbJhoEeBs9nOUMvesNYjdksEkCo0GIPZYnf6hKx1sncgL6N5vUnpzFW+/hrh28tzTwJBsLPofOZjn8UJZBN8KwVCaO2EiZMP/xgEJVJ1fSyJU0Lr7ZQ9cVrKxKvqJx5b0HH/v2icjiIGrSDdbwZJdIBjuMKu6GCfv0Lr353TCXP/iA+CDkMEnSW2Ak4x2Del3ZnUP2ICBEAZKYzuB/wA/eRNePbZrc7Pwu2/ochn6KRnfA0kaHKJZYunZgwtsJeyy7a8hE3ldlLEkS3NjjYvfqrvcUReFIdv9KxGy2Rt3vUTGz5HWLGaVKLCXHcuP4cUjNyjOIPPqRT16zsX4FhDGjFSkaYwTSI5Qekdg94xQlMf2h7qcao9bIJ/r+G4OFoc6q94uZzCRlo7iLLM4Plrg5WORYbm5Lino3aGqRnHEGRdGQiYcmCoCCqmRICFGVHJY6g6pY+PEKIBCKRUKEUAwi2cFSJ7H0u1cVD4Ixq8afTH2VQexwvntlhwPvut/gh6vPk9MyPFI6g6UOl1+5ToDrBuTyFmEY02r0Cf0IGSc0G32iMOLIyeEV8VZ7wNpqh2zWxPMims30GJdKGaanK2Szt78ziiTNZp+lpRauG6DrKiMjeWZmqqiqIAxj3nnnBkePjlGpZIkiyWuvXaVSyXLq1CRCKFy8uIJuaMzNVn/nIzp+j98c+q2Qiy+38AYR/Vb4K5GhQvJr6T9Ntv3/XqCqJmEwoN28ysTM08wd/RJXPv72Zo/m/usbLF4l6DQx8iVi3yXoNpGBnwaMGyJVXGQ14lCiaoLAiYb24d0rjGyZ/MQxjEwRzcyimzlU3SSOAtz2Kq35D3Dbe4es76dWufW816tFFFMnWFjf+v0UXUMt54g2OulE8ewYSRTjXV0miWOM6fSZ519fQbrbHG7Zndt8ezvu/TcLpUcvrOPFfTLabaMXoaTGPSV9nA3/xp6f14RBzZzbNbZJkLSDVZx4t7vmgbDPce0GGwTS40FPxtwJJ+4QyIOOG9JtUTM58mcepvDwk/Qvnqf16i9IohDFSGMs7Kk5kjii/dYrRIMe5tgkI1/5JsVHn2bjx98iiSMyh49T/dxX6F8+z+DNl4l9F2tihtKTn0URgubLv8BvrGOUKgjDQM2kuZLSddELJVTbRitVIEmI+z2SaI8KvaKgVypo5RIkMo3RGBnBu3Yd/8ZNFNPAPnEcOXDwLl0h2qiThCEia6evex7ehUvE7Q6KbuDfmCdud+i/9TbZR84hMtmdZFEo6DmT4slRZCjZeP0miUxovLXIzDfPUjw1hlfv019oQZzgLHconhgFEpyV1EU5N1fBXethjxfoz7fpXqmTmS6RP1QBRcFvu0SDtKKYmyuTnSkzWOoQOQG96w3Gnj1C0PPw67sNxPb8ZRO48dGAyaM2jzxXIlfRyeRVpo7ZXHijy9IVFyujEgaSYk2nsexTnTDwHUll3GD95m9RZbHlL3Kx+3Ou9d+gFcxvnuAHv5D+aPL/TKG4uzkZHnQVMIVMEvw4ohU4dAKXbujhxxGBjHCjkGBz9lRXBA+XpzmU/2Qz8cPQd/9nojjN1fPC9/DC94Yup6pjKMpxXD+kmEsrIUIVB5ah9iOHBXeFXtinaOw9Q7kXoiTiprPEmr9bFpRVbY7l9ieLD5dnkUmCQvpbykRuVZJ3/v32Mg8aOa2yp734FvZ42CkomOL+CaxMJG803yO6i1PpvtukKGyftT2UnWbUqjHvLO+Y5e1EPT7uXeFM8Tgz9uSBjqWh1jDUW46ft9alYKhjDIKPUBSLnHEGVdjkeZjbkSPb/3ywJOdobo5vTHwZN/K4NpjfIU2+PljgR6svkFFtThaODjX7SWSyNa4tljIkQBxLJqbLbKx1iMKYsT16/K5d3eB/+ss3qNVySJmwsdHD9yPyeZMvf/ksn//cSVRVEEWS5eUWP/zhB1y8tEIcJ2iqoDaS5+t/+DDnzk3jeSH//f/7p/yDf/BZvvylM9TrXf4v/9dvcfr0BP+P//vfRQiVf/EvXuL4iTH+87/zNPbv5Zq/xydAtqwx+1CexpJ7QBnqrXve72oNZSeSRHLl/F8T+D1U1WJ85kkmZ59h4dovCIP9Z9ftsRn85jqDbnPz39MEnSYCn+JUhmAQUZnJMmj6ZMoGnRV33368gyJbm2H2iT8hClycxgKDxgKDjXmc9gpxcHeiIIl35R6mUFA3743aaAk1nyFqdlF0jbjTRx+voOZs4mY3zYLzQ4xD4/iLGyS9EBmEmIfGCVYasI0sqmL4RPVeFceDwInatIPVHWQRUvfuijlF3b+557oNYVMzZ3e8lpAQJzGr7uWtYyEQ2woYCQINXTEJEmfouvfbnxuDd2n6S0PluABCN0ik/MQy5gRJJA/o4pqA0E3yZx4hf+5xehc+oP3ai7u3QRXUf/F9gvV0AsJfWaTw0OPY03Np9mYMxcefQXouzV/+lKjbBsBbvIlerpA7+RC98+8RNjawp+dQdAMzV0D6Ht7yPGo2h7AyGKUy0nWInX1IkZR4V6/hXd3tExHVG/Tru30y4naH/qs7za0UXQW/T/cXzyNsg7jZovvzF4Z8X4K71mP+Ox+hCEGy6XoaOQHX/8M7KJogiW7/pgvf/ghFVbbGEwBrL15j7cWd27v8o4somgCZbPU2Bk2Hhe+dTyv6UqLnTbJTRfo3mwxutraWu4XVGy5ON8Ib3B7rrC/4qKqC14+pLwe8+t0GT3y1wumn84Se5ONXu7zz8xaJhPZGyEcvdwk8ie9InL7kygcOpgmd+oOXo98XWfTjPm80/h0Xu89vBpUq6IqJUDQC6WwGsdsoKJuh6BGQoAubnFbFVovYWmnXei91NtCFymyujHZHZc+NQladLrpQmc7t/uxeiBNJP/RZGLS43N3gfHuVK711rveatAMHLw533B6ymsH/6dwf3JUsNv0BodwM8iXNwiubGdR9KnlZ+xtY5qfuus2G8RBBGLO00aEz8MhYOrp28N6QNJB2lY+6l3mm+vg9kbEkSehFA36x/uqu9wQKpwvHDyR53G5Isn0GcOfff7MDFlVRtyJAtkMmkn508FmgO7HkrvJq423CfW22JUkSkQ7aVEBCEgIJSdJHEQUU5fa2jZo1DmdnuNi9uqu6+GH7IrP2JKXxIoV7ls7e/g10tUTJ/uyQ95U7lv3V/G6Plc/SDXv8zdKPWXJXdygV3u9cIK/lyGg2c5npXX3NiqIwOlFCSkllpMDM4ZQM9zouUiZkciZinypevd5jfb3LV758lj/548doNPt873vv8Z3vvMujj8xSLmfp911+9rPzvPTyZf7O3/4UJ06MU6/3+N733+ef/tMX+Cf/5E+xLJ25uRo3btRJkoQLF1eZna1y40Yd3w8RQmF+ocFXv/YQ2gNwZ/49/tNGpqCBAuUJE6EqdyWLUeSTJBJNt1GESnI/E1q/ZQiDNDT+5pWfYGXKTMw8jec0WF16CxnvPfCunHuG+tu/wG+ks/DFU0/QufA28WCF8nSW5nw/dUYknawVD+h69ftN2gsfopnZdFCZKZEb0zDyFcJBhyhwiLw+gTO8QpYkaXaurux+dqnbshCFZWKdmCEJQry+i3l4HEVV8a4uATHxwIVtNv5y4O2w9d9aD9ou9ROkZjr3K1F24x7tYJUx68gWwYW0F7FgjGKqWbx4N9lXFY28XiOrl3a+kaTmOQ0v7cW3lCyaohMTIYlTl1E0ilqNTlTHlT2SO5RwkbydQXknkkQSxA6S4ftrlcvE7oCwc//jBgBF01B0A/y7TxooukH2yAnypx/Bmb9G+7UXSOI7ti8h7TNc31mpjnod9HJ181GuYI5N4Ny4kkaobIO3tED+zKNohRJBq4Fq2ahWBnNkjMjpE3XbWBPTqHYGrVgh9lxi95NPqOy5z6pAzZoYIwX0Wp7BxWXM0SKDK6uoGROhq8ROAKqCmjGRbgCKgrB0kGmMhTB0pBeQJAlaziJ2AhIp0bIWsRsQ9w9WldtOMrcgk60JB7OSIX+klvZF3mFsA/Dad3caWAlN4eO3HC6+6yJjheyoTaeT8JN/30DV02JR7McoqkamqtPrSX70bzaIvBiraOCHgtefd6hfapGppUWmyEsl55qlIiOJ27z/OI37IouLzodc7b9ClPhktQoVY5aCPoapZrnQ+Tlu3OZQ9ikyWgk/7tEN12gGC1giz9ni1ziSf4aivlsS9q8vv03ZzPC/Ov00+Tvcvpq+w19e/4CCbvG/PvPpA22nF4fc6Dd5df06P1m+wLutxU2C98nx8vp1LnXWtwxHLE3j7x5+gqqZ25ME2eZnAA1lH2vkWHZQ0DFsg7OHx9E0lZxtIJTdPZ77YdXb4LXGOxzJzjJm1w7ksJUkCb4MON+5zDut3S6MmtB5duTBxKb8NsAQOkV9t1GIL0MWnBXiJL7n2IZm0Oavl35EK+zuu5yMlpFyHUUUEUoOFBspV1GUAnF0BVU/garejjMQisLDxdN83L3Ch52LO2ZAu1GfVxpvU9DzPF19jLye/USOar/KCv/d8GztKbphjx+sPs/GHZEarzbfIa/n+PrEc4xbIzsmHo6enqDfdVE1QSZrbW27YWjMHR3FyuxfwVMUhWPHRvjzP38Cy9Jx3YBO2+Uv//INVlY6lEoZms0Br7x6lSefPMwf/dEjABw6VCOXt/gn/+SvePOt63zh86c4fGiE69fXkTLh4oUVPv3po3z72++wutqhXM7Q7ToHkqD6sU8nbNOP+gQyddZVFRVbzVDSS2S0zJ7nZytoUfc30n5XcxRbtRlEfdphGzd2NyXqCqawKOhFCloB7S6Zlkki8aRPO2gxiAdbcmFN0choGYp6iaz2yc693+PesH7D5dwXM9QXvV0z18Pg9NeIo4By7Rhh0CfweyiKII48Ar9P8gn7E4XQUDUTRVExzDyqqiOEhm7kMMzClmHNXv2JnwRROODGpR9w4tzfYebol/C8Nq36pT3jKBIZ3zboEWLrrFU1QSKTNI5EZfPPB9cP6jQWuf7Kf0A3s1jFMezyJNnKFKXpMwjNIPL79Nausfze8KDxhAQvdnaFtyuAKW73ZOsTVfTJGs3/8DOSMMK7uEDm8RNpNekeoAtzaJxDJP37NtSJk5B+2KQftSgatxVmiqJgqTnKxiQr7qVdn9MUk5q1W9kkk4i6N0+Y+Cgo5LUKGjqKohATo6EziDsoCEraKF7Q3/VrBtLZs5VK2zwGO8ixItByeRRNw549gr++jIwjVMMi9l2k5yJMC2HZyCBAeg7CMFP5ZuAjwxCh6yiaDjIm9j30UhWjMoK7cJ3Yc0jCvSc7VMvGnjtC1O+iF4oYtbG0B3EHEmJvGHnbtvdCSatuQ6qiSZQSaEXVCNtNZBih5QuYE9ME9XW85Xkyh4+j5QvoxTJBY43Y/WSEeT+oOYvsiQnUjIGwDLScjTFSwL1Zx54bwajmGFxeRc2a2HM1orZDIiVGNU/kBkgvROgq3nILc7SAMVIk2OiSkGCMFAjrPbpvXx86aXKv6N9s0b/ZuvuCmzByBrWTZayCQSIThCYI+iGapSJ0QdBLTcW2icEI3YjBhkt+PIvTSP/srQyY/tQYXjsgkQlJkpCt2bgtj5svrdz3/twXWbzWf5VI+miKxbnSH/Fw+Ztk1DKKorDifozndnm88udM2GdQFGj6C7zb+hbXei/TizYQijrUnXI/CEXBjcIDDUOSJKEX+rzdXOA/XH+bX6xeIn7AfRcbfp9/fvVVvG0X2PH8KM9NHN8zM9AP3kHTDqGK0SESkoQ4bjDwfoyhn8IyHsMP01mBtWYfTRVM1goHHsAHMuSj7iV+sPo8fzTxHFWzsm/VMyWKPh93r/KXi9/f5RCqoDCTmeBc8fSBvv93ARnNZjKzO18ukD5X+jeYd5Y5lJ2+6+D3Frla8+r8dP0lXqq/SXyXQVcUvIKMb6Cqh1GEhaafI45voGmngRA2q/Hbq3hHc7M8XDzForNCK9w563zTWeJ7Kz/Dkz5Pls9RMcpbWZgHgUwkXuzTi/o4sUdWtRm1fj3h9NuhCpWvjn+ebjTgF+uv0N5GuuMk5vmNV8nrWb4y9ixlvXg7ikMVFIfENdyNJN5CNmsyMV7CstJrV9dV8nmLKJY4jk+SJAwGPu3WgGNHbw9uNE1lfKxIPm9x+fI6X3zuDIcP13j+hQspWby4wl/8xZMcPTrK5ctrjIzkyedtqtXcnjbtSZLQDJpc6V/ig+77XB9cpxO0iZMYW7WZsCd5qHCO04WzTFgTmEP6OM93P+J7q9/BFjZfn/gGo+Yo77Xf5cPuB6y6K3jSQxc6NXOEU7lTPFp+gkOZOcw98kQjGdEIGlzqX+C91rssuPP0wh4SSU7LMWVPc7bwEGeL5xi3xu95kuX3uD9kCjpr111085YCYP/nXHPjIsXyYSojp8hkR7ecTtvNa9RX3yfwP1nAdyY3RmXkJKpqYtpFMtlRVM1kZOJhcoVJZBwy6K9SX/3gE33PXhj0Vpm/+lOOnvomc8e+SuD36HeXd7g+3kI06GKPTCE0A2HcdkP12gFXXlz7lWwfgKLq6FYWoZnIKMTrrCNDD6+3gV0cxyyMYOb2znpNkHhRl7x+p/pJIbut9UIhQQYR2kiRqN5BLeVQczZq3iaWEq2YRc3bqDmbJAhRC1nUfCZ9vzvYqjpaam5oUHwg3XsOvt8OJ+7QCpYp6CM7xjWmyFA2pjZdTXf+boZqUzF2ulEnSUKUhKx5VzaPT8IgblNSRwmkhyEyeLKPgoIvHWCzneeOS8WPB8gkHtruY6nZNCZk2/5quQKZw8cRmoaWzRPniqiZLFomRzToE7abKfmrjhD1u3gri+ilCtbENN7yArHrYFRHUglrHBO062iZHJm5Y8jAx19fJtqHLMaeQ+ftVwkaG4x8+RtUP/811n/0N0SdOwjK3ca+UhL1uuiFEoq6876tldLzKXYGxIO0kqjlU2LqXL+Mv7ZCEviYI+No+QLO9UtI78HHNtyCauuoGQNvsYk9N0IiJWrOQpipwkIxNISloRVsZBRjzdaI2oO0LWXgoRez9D9eJKj3KH/mBEG9h1bOYFTzhI0+WikDQmGPAvKvFHpGQ9UFekbDLplsXGzh1D1mPj1B60aH7lKfmU9P0Fvt019zqR4t0t9wGTlVprvYJ4kTjLyBkdMRQrD2UYPjfzCH3w1IJHjd+79W4T7JYsO/SZzETNjHOVf6I7JamVuDWlXRN/Xjtwa7goo5y6eq/wucqMXFzi8oGVOcKX4NS80RxBFN38WLQnqhj6IozPdaZLXbgzxJwrVugw1vwMni/sYjSZLQCVx+snKRf3r5Fa72dvfdPQh8eeIE/8PFl3aQxR8tX+Cp2tyeZLHT/2dYxpNkM3+GKqpbg8UkkcTxKn3nr+i736KY/6+wjMfouwHdgUffDSjlbCZrB+s/TN0qEzphjxc3XsOXPp8feZpRs0ZOszGEkeqqSbaqie2gy5X+Db6z/FMW3d2zDzktw59Ofo2sZg/5xrtDJhKZSOJEItn8c+u1GEn6dydyh/YN9MI+634DXWgIBKqiIjYtxFXE1t+FItJ2/AOQalu1mLUnKWh5utH2nD+o+03+eumH/O3pb1AzK0ONVdKHVEQ37LPhN/nB6i94pf7WllmSJUw8OXwGXWiH0LRZFFFExqskSTqDlyS9NFRWGZJrJTSerj7GkrvKK413djiHAiy6q/zV4g+43LvO05XHmM6Mk1FtTNVEU9StAXx6/GNCGRHIYJMkDlh217jYu8a63+DpyqN8c/LLdz2GvwpYqsk3J75EPxrwSv2tHZEabuzxk9VfkteyPFv7FDk980AqWZomsOzh121C+ryNIglKWq3cDkVRMAyNwI9QVYW5uRqNRp9u1+XmfIMjR8Y4cWKcK1fXGAw8Ds3VUDUxNE4DoBHU+dHaD3mt8Qq+DMhreSpGFUVRCGXIvDPP5f5lPu59zNfG/oDjuRNDCSNAN+pwqXeBN5qv8XH3PJa6WUmkgBu7rLorLDoL3HBu8M3JP+FM/uyuayeSESveMj9b/wmvNl9BICjoBWpmDVAIpM/l/mUu9i7wUfcj/nzqbzGXOfQbqUz/p4RcWWf0sM35F5qcfKbEQbzM3MEGN6/8hNr4ObL5cVTVIIo8otDZ4SQaRR797jJxHBAPkXL6XptO6wa+297xumWXKVWPcevk9v0u+KDpNvlSaoglhEZ99UNSyX2M77bodRaGElUZp1mLd8pJExL63WWiaLdXQmPtI+xMjXLtOMXSHE5/fagctX3hHaqPfJbs7AmEqtK+9C5B9+CVgPuFVRihdvRJdCuPbuUQhkUShwSDDm53ndbih7itvclqkkh6UYMRDu16L6sVURDIgcfgvSvE7T7W8RncIMKYqKFoKvpoGQXQRysI00CrFSGW6KPltFpTLRJutEncAAWBqWaHkkUvHhDG918h9uMBnWCNKOPvkNRqwiCvV7HVAk7c3no9laBWsbWdaqCEBDfq0A5uSy0d2cWR+6t7dm2PdAikR4Zk1zMlq5XRhEEgb1fprPEp4n6Pwfoy+VMPY03O0L/yMYOrF8kdP0Pu1DniXpegsYGayWCUq8goJGhs4NdX0TJ5kjhmsHAxrcyVqvgbqwjDZHD147uSvCSK8Otr+CtLNF/6GdXnvk7lM1+k8fwP9+8bHIL+xQ8pPvY09uQs3uoiSRwjrAzZIycJWw3CdhNkTNBYTyM4dIOw00Z6LkGzjjE6gaJqRIPebinsPcKyYGREpVIWGCaQgOfDxkZM3Q2JBz7GSIHYDVCzZmpIlbeJBz5ho4deyqUSVCcgTHooqkj7ECNJ2B4QOz4kCf0LS6i2ibfYIKjkUG0Db7m1q6p4+JBKrSa4fiOm2ZT3lAgCYBgwO6thW7CwGNNuD/9dNVNF1QRe2yd0ItyWT+hG9FYHuE2P0IvprfS3ZKfNqx0UVWH0ZJn5l5YpHy4iVNBtnd6ak8pOGx6qIRCaciDlyX64L7LoxC0SJBP26c1w2NsXlqYYKAgi6SORqJta95xeZTb7OOveFW7032DKfgjLPkE78Pj50mU+bK3yYXMVVRHU3cGOnkWZJKy7fXK6yZny2L7bNogCnl+7wv/nwossOu2hywgUDFVDU1LpSe8+JDGz2QoniqO0Nm5uSVFfq9+gG7pUzMzQgZKmTtJz/h0oJjn7mwhRBmKiaJ7u4F/geL/ANB7G0FJr+rFKnncvLdFzPcar++fM3UJWzVDQc3TDPoPYoRv1+dnay3zUucSj5bMczx1ixKygbVZ2fRmw5tV5v/0x77Q/GurgqSsaj5RO86nqo/d8nABuDpboRX282MePfTwZ4MnNv8cBvvTxNl+/2rsx1BjmzdYHrHobWKqFpRqYwtz601QNrM0/TWFQ0guMWFXsPaoktyAUwahV5cnKOX6+/soOkurLgDca79EL+zw3+hmm7XFMYSAUsdVMH8iQut/ko+5lXqq/SXdbsHxRz/NQ8RSvN9/d4e55C5rxFOpmvwD6mf8/e+8dZslVn/l/Kt+cOufuyTlIGkmjHC0hkREZDDbGOAPOZm28NvtzIti7trG9gG3ABJMRSCAkjXIYSaPRpJ7YOaebU8Xz+6M6TvdEjcDrR6+eedT31qlTp8I9db7pff3vtHWz/99yxjE3Beu5qX43eafI4dxxrNP6Ljolnpl5kf2ZIzQFG1gVbqMhUEdEDRFU/N+q5VmU3SpZO890Nc1YdZKx6iQV18/VT2rxMxby/7QQ12O8rvk2Sk6ZFzOHMRcV/WfsHA+MP05YDbErtf2c9/l8IJ0jzVuWJYIhHV1XmZ5ZqKXxhKBStSgWq9TWRvzayfoowaDOwYNDaJpKY2OMDeubuPfe/ViWS2dX3RnZlituhQfGf8yz6afxhMf66AZ2Ji6jJdSKKqnk7CxHcoc5nD/EsXw3QnjozTqrI2tWjObl7TzPzDxNQAmyMbaJrfFtNAQaEUIwXBnipex+ThZP0FvqYe/Ms3SGOgmrC3WvQggydppHpx7hqekniWlxNsU2sSW+jaTmZ5NMm1MczB7gSP4wxwpH+e7It/lA1y8T0y6cXOtVnD9a1oexTY9Vl8XxBOe9GChXpxmZfgEpo/jpZ56Hk88hbAs5EEAJR3AUiYGJp3CLBZ/uPhrDM02EZSIHgswUepiaOgISqMnUbHTEIZ3rYfq5w8iBIHIo5GulaRrCtnByuWULYMeuMD78POPDz684Vtsq0v3iF5d9LzyHk0e/hxII4a3wvhjue4zhvsfOeh2s7BRjj30fxQjgOfZPRWMRQNVD6KE41fwUuZGjVHKTmMVpXOv8aqU84ZK3JxGnGzUSGEqYoBKh3LuQjmgN+/JQ+UdeXNKPPbn/tM/LDeWAEkGXgyswj/oG2vkzdy6HwKPs5MhZk9QGlhLWGEqIlNFCedEaTpUNaozlDNyesJmo9i6LQl4MivYMMa0WWVqakRJRU8vSfj3XQdY0lGBoljzFRlZU1EgMZBlh+RkpkqJgTU9iZ2f8lMDONUTWbMItFRGOg2dWEWF/zhWu69eYRWK4ldKZWUUXQTg2pb6TKKEIqWtuxsllyb7w1AWdd27/XgLNbaSuvYXyYC+eaWI0NqNGoqSfedTXWgSs6Uki6zbjlgp4s+mt1swU4VXrL0m9omHAZTt13vH2IFdcrhMKS7guTEy4fOe7FT7/hTK5F5aSzZRPLjgJKpK0ZI6RAxrJa9ZT7p0k0JQk/fjR+W2FlwbmkzGqQzNnTMz4lV8J85Y3BfnYH+f54X1VyuULM7rq6hR++6MRVq9S+eSnCjz08Mr2RqYvT6ZvuYMjP7Kw3iiOzzoBJFADKsmOKGMHprArLpPdaSa7l9ZBDu0do+PaZtI9WSL1ISaPLN1+IbgoY9HzfCKOgBJbVvisyUEkSabqFfCEsyTdtMboIKDEmDEH5j1GUc1gbaKOrFXloDKGM6vXKJb0qbCztoXrGrvYVX9mun7HczmUGeUrPc8vMxRVSSahB0noIRJ6kMZgjLgexPQcvtW/f+UOz4FdNR28ODOEO+uJmK4W6S+maQkl0JXllzYR/TWEqFIofQVZ0gkGbsF1J8gV/wXTeolQ4DZi4Z9H03x9xFLFxHZdTMulYtrnxYbaGW7l5vrdHCv08NT0C1TcKh6ebxCMTfIjfJ2mgGIgI1N2K2eVPFEkhdWRDt7a9tqzprGeDf/S8xV6iv0vS3NwsDzC4Aq6jythS3w972h7Petjq87ZNqUnuLb2Co7kTixjf7WFw6HccY7kTpDU49QZtQQVA0e4lN0KaStLxlpOQhBTI7ym8SZuqt/N8fwppq0zeasv7npuiq/FEjaeEBzLn1oxeln1TPpKg/SVBi/qGP8V0BxsmDUYKxzNn1xCGDRSGecn408QVkNsjW9YkSH1UkKSJOKxIKtXN3Dw4CA33rCeSCRApWLx0kuDeJ5g67Y2JElClmU6Omp4+plTbNjQiCRJrF3byMhoFsf12Llj5xnrFY/lj/JS9kUqboXLEpfz5ta30mA0LPndb4ltpX6qnocmfsLRQjdt2XZqjTpS+nJSLkc4yEJmR2InP9dw52w00Mfa6Dqagy18f/S7nCgcZ6I6zlBliA3RhVRzS1icKp7kmZmnCasRrqu9ntc2vX5JfeOayFo2x7Zy7+j3eGTqYXpLvezP7OPG+psvxaV/FWfA8Wezvnae7HuNJUXyU7FkCTVi4FasJeLSc9CSKRLX3ojnuUgC5GCQ3LNPYo4ME1yzjkBbJ7KuIVyX4uGDCMcmuHot1cEBqn09BFevQUumKJ84hhyOEFq3AcUIIIRHpa+X0tHDBNo7CG/aip1Jo0Qi2NNTFF7Y+7KjDouhGCES63cy/eJjSKqGovlpncJzkXXDX2jLMp5ZRdYNEB6S6p+XZ5vzzNPueZCJXDLIEoWpXgqTPX70VQi/XlJVkYIBROXcBqOHS96ewvEstEXcDr7hKFMX6GSgdPCSDDehN2Eoy/VtPeFQcrIvy1gEqLh5MtYoNUbrkrR8XQ6RNJoYKR+dNwJ1OUhSb16yvxAC2zOZrPa9rHHMIWONUh/sQmWpsRhSE4TVBEV7ejZrDszxESJrNhLuXAtAqe8ESjBEeM0m7FyawrFD6Kk6tEQK1/TrF5VQBNkI4paLvjHoef7zaJr+d+UinmUS6lhNeahveUopIDwPt1zEnBhBzBLSCNuicPQASihMsGMVpVNHsTLTWDNTeObyZ8rOzCAbQZh1MDmFHBP3f5v4zisJtnQiaRp2Ns30nvspD/YgZsXurZlJrJlJ3Hx+vl9zcgwrPY2dTfvOpZeB1atU3vfeEDfdZHDosM2hQzazh2Zo+DzmjtOcUV7VJvPkMdREiHTPCtF6cYa/LyEsS9Df51ApC9KZS+SEFz7BTn60hFk4c3qpWbDpfXSYQNxg8ujFG4pwkcai72GRsLzSspRBQ4kiSwpFexrHM5d4YzQ5iCKpVN08zuwCN6hqXFHXxhV1bVRcm5gW4O1rdhDVVk6rOhsmKgX2jB3nQGbBqJCAiGawLlbPrU3rubZ+Natiteizhe29hemLNhZ31rSiSgqwsIg9lBnlspq2FY1FRakjEfsImfynyZe+jOOOUjWfx3GHiITeTjT8VtRFpCbFioWhqyRjwfPSfZSRqTWS7EptpzPciuXZ7EsfouQu9fZ4eOelAajLGl3hdn6+8x6ag2eP6J4NYtlT8srC1888vyOqssrqSAdvar2DbwzdR8bKLdvXQzBjZZmxsufsL6nHub3hel7XchuarNEebiFr55dIQbxcSEjsTGwmJAd4YPwxDuaOU3SK8xHu/05YG+3iNU03UXF9SY3FtaDHCz08NPEkYSXEmkjHOQlaXi6SyTC3376ZL3/pSf7jP55m3fpG0ukSe5/tYffutWzd0gr4zIldXXU8/HA399yzC4DGxjhCCAYHZ+joqEVRVqCiFx7PZ/ZScksE5AA3199KrV67zEGkyiq7a67hZOEEGSvDkfwhNse2zEf6TkdrsI1t8W1LDMU5tARbWBtZx4nCccpuibS19IXi938EyzNpD3VwQ+1NK17nsBrm2trreGzqESzP5KXs/leNxZ8ClLBBoD6CUzCRFBmnZGHUhgivaaDcN015cGZFg1EJR8g/8QjVgT5Sd9yNGk/iVaoEu9ZgDg9SHRoguvMKjMZmit2HkJDQUjVYE2NoqVrcSgW3UiG0YTPCNMnue47Q6rUYjc2YIz4jpXAdqv09VAf6X5FzdyoLJCWhpg6MRB1WPo1dyBFqbMUuFZBVjdJIL8HGdvA8tGgCp1ykNNzjG4w/RUi6hhwJ+79RRfGjT9UqUsDP+FDjUarHl2sbrwTLrZI2R2gILneI1gdWMVTuxjsrG/e5IaOQ1BvR5eXGYtHOUHbyLzuaZ3kV8tYUVbe0JL1UlTXCapKgEqXs5pAllbCaXCa1MWc4l5xLkz6cscaw3AqGHF4yl8qSTJ3RQc6amD+WWy6SO/jCbIvFa4aFEJU1M8lC5p0viVUe7OH0XEa3UsKc8Net+UMvzjoSVr62wrEpnuimeKJ7yfeeWSX99B54es/8d9MP/3DFPmYef3DJZ0lWEaZF5qlHycoKSPIsU7KEcBxkzfCJbizB1P3fJVTbjoKGqxlYE+NkH30Iu1zAcywUI4TwPN85I8sgyXiOdV6R+64ulR07NPa/ZPPnn8jTffTlR/s9y8GavLCU5EuJqSmPv/nU2WV8Lgau7eGepaZ1Dk7VpbgiydGF4aJWVxGtjqw1RsYaxjuNCCWm1aFKOpNmD6ZXIiAWSFkst4grLL+IeIVJZlOyAV1WUS6i1sUVHsfzkzw0dnz+OwlIGiHuaN7EL67dTXvk3JIPF4K1sXq00yj8+4szWGdgXwNQlQaSsY+SyX+KXPHzSKgkYh8lEnoTipxY0ra1Lk4kqDM2k0dV5HNGFaNamOZgIyE1SLvawj2tdxFXozwzs4+cXTiHlMMCZGTiepS1kS7e0f462kLN597p/2GE1RBX1VyGh+D+0UeYMtPL6gHPhaASIKUneF3zbdxYd/W8tMPG6BqO5k/hXEKP+hzWx1ZTZ6R4amYfz868yHhlirJbuWjDVELCUHSSepyIupws5meFy1NbydsFfjhaZaQysSQSvi99iKgSJqwGaQk2LkuXOh8EgxpNTQkScX9R5AmB43mEwjptbSlCQZ/8QjdUtu9oR9du5Ec/PsiPfnSQaDTAzTdv5O67d8xHCxVZYvOmZg4eHGLzJp+MQZIkrrpyFT09kzQ2xlf8LVfdKkPlISzPYl1kPSk9dUYDOKJGaQu1c6p4kvHqOGlrZjbtf3kqanOwhcbAcvZpgIAcJDK7SHOEg3laDVLBzjNQ6keRFHRZo+QWKZVXfvHl7TwBJUDZLTNaHZllXH1VHuSVRLgtRd1N66gMZ8h1j6KnwtReuxqnbKOGdKx0CStTWuY1t7PpeSIKYZp+qmk4ghqNom3ZTrCjCyQJe3oK4bqY42NoNTWEN24B4WFPTSJrGmo0ht7YhJb0363mxMS8d98tl7Ez2Vfs3GVVRVZ8Nslw8yqsfBotmkC4Hq5ZJZBqxMxOEWruQnguwfpWnEoJNRT1iTwuvRTZWaEkE+iN9Xi2jdHVjrAsnHQWORKmeviYb0CeJzzhMF45RV2gYxlTacpoIaE1kLbOLxPnTIhqtcT1BtTTNIeF8Mhao5TdlaU9LhTl2ehicLb8Zg66HCRpNFMu59Akg5RxGrENAtezGa+cn4G9GDLKijIYVbdA1h4jpMZQpaUBi5pAG5PVfqpuYT66uHI46vTvFn0W4tyEM5xPm0sLPZIk3NCBXS6gBiMI18GzqqAolKeGCCYbca0KsbZNFMd70SMJ1GAEPZLEzE+jR/16TCNRjx6K49pVhGOjGCEkRaU8NYSZnzrnOMJhiURCZnrapq//Z8Ay8yrOiIsyFusCqxktdzNRPYHplQmKxPzip8boRJMDDJdeYjrWR1CJo8o6jmcxXj1B2cmhyaEVC6Zvb16HJIEsyziO/6DIsoRZdZAk0A0V0/R/pKeLWeesCkezY4wu0iYKqTo3Nqzlw5tuImks9469XNQEIkQ0naxVnp8Ohss5bM/FcSdndfNWgkQ0/G5cL4vnzqAqjQivhOP5+ciynECWw8QjQeKRIB2NK2s+RtQQLaFGzNni/ZZgA6sj7bNHkGgK1nNP211sjK9hz+TTDJSGqbgmlmfheO78oltGml8MBpQAdUaK6+qu5Ia6q2br3F4eGoxaLM/CO49J0hPCT6Wa9caJ2c9z53Q+ZCb1gRoM+cLEziNqiJvqrqYz1MoD449zLN9Dxa1geTa2cPCENx9x9Al2ZDRZRZd1QkqQLfF13NV8C82BpSmDm+JreSFziJKz4NnRFe2SiQukjCSvbb6Vy5NbeSF9kJey3UxUpzE9E8uzcTxnnlRoDhKSTwwkyaiSiiqrGLJGVA2zKtLBFcltbIytveCxKJJMa3C5UVJv1LwsshMJiRvqrqbolnlu5iVKztKo+GB5hBOFXmqN1EXVL27a1MKmTQsLkZJlMVEqsm5TE5/Y+RbANyBLtkXJs9i1axW7dp05xVlVFW68cSM33riUOfijH73zrOOYsaaxZ2sz64x69HM8w0k9RVAJknfy85IYkUX1hnOIqdF5g3DZWGUVbbZU4PSIvBCCqldhxprGFS7d+SP8WffHzzqmOdiejS1sDOnlzx+v4swwGqJUJwuYM0XKAzPUXL0Kc6aMZ9oIT+A57vmtZwEnn8WanMAcH8McGfJlB8plvGqF6vAgel0DkU1rKR3rxpocA09gTU1gZ2YoHT3id2tZuKUSen3DfJrnPC6d+gQgoUXiyJqGFk1SmRhC1g0qkyME65rwbAunWqQ02kvdrluZ2f84wnFQg2HMXBrvPDzylxrCsrBnMnjFkh9xAeRYFFGpIkcjSLq2kJp6Dni4zJhDlJwMUW0hY8CfZyVWR3dRzKQvOk1UkTRawhsJqYll71zTK5OxxlbUQbwYVN0CGXOMxuCaJYavLgdJ6E2MlI+hyYFlKagIPzI5bQ5c8DHjegNZa3zFoMVY+SQpvZWwpC95b+lykLbwZqpukaw1dklqJH+akFTNl8JYAWogjGtVCSYbkBSN6aNPE+/YjFMtEq7vQHguZiGNmZ/CKqbRwnFKE30EU81+KrwkI6saaiBMJTOGFoqhx2oQnotrVfDcMxxXhVhMJhaT0FRobVHQNN9o7OpUmDUDqJQF4xMutu37VOJxiWRSJpsVzMwsvQ+KDKmUTDwuMT3jrUgoEwxKJBISwaCEokizBHaCasVPFbXOc3qoqZFJJCQsEyanXMxZX6ssQ2OjTCSy4Cy1LcHUtEexuHw8mub3pSiQyQhUBeIJGcPwWXtNU5DLexQKYtn0IMsQCvlGdsAAeYWsJdsWDA66vJyYxUUZi+2hHXRnf0LBnmKm2k9U9aOJAE2BDYTVFOOVY+yd/iqlxAxJvY0Zc5Du7E8oOlM0BtYTVGI4jottuciyX3cxM11A11TiiRCTEzlfYzAWoPvQMIahsWZ9I8eO+N6ynVd0LRnTRKXAkexS4dGuSA1v7dz5ihiK4L/7moJxRsv5+RTAiUoex3PJ5D+J4wydYUcVWQqAsLCcHjL5v0GR65mziuKRDxIKnpuJ8rq6XVxXt+usbUJqkF2p7WyNb2CgPEJ3/iQDpWGmzbRfzygEAcUgqcdpDTaxMbaajbG1K7J/Xiw+sv4D59Wu7FQpOiVkSUaXfVZd27NnKa8twmqImBq5KMOjXKiQnykQigZRdZX8TBHP8whFg0RTERzTJjtdIGQFuSf4Gsp1VU5UeukrDTFpzlB2KpiuhV2xsQsOYTdIrV7Dmlg7l9dvpb2xFU1Xl4zNsV3CkyE+nPwFUo0JzLJFKVfGGrMZFROoqkIwEiCcCM+yYy4/r7JjU7BMKo5fs6opClHNIKLpKLKMJwSZagXXCXBL3Q3c0Xgjo5VxThUHGK6MM1aZYqA4Rd4uEdd1wpqBJmmokoaMjiGFqTVqWBVpY32sncZgEn2Rh9vxPDJmBcdzqQ9FyFsmBcvE9TwUWSaqGSSMAK4QZCouf7DuozSGlxsmJduir5QhoQeIGwFkScITgoJlUrD92lxJkjAUlYQRwFDUeb3SgmWSs6rcUncDN9Zc77f3PBRJIqRqxPQAmqIsWdJUHYeCbVK2bTzhocoyEc0gouvLsgGEEFieS8mykCSJqVKJ/eNjbKmrpykaI6xpCGCyVMJ0HOrCYcq2jeN6eEIQ1jVUWSE/W8MR0XUUSSZTrQASUV1HUxSy1SoCQUTT0RVl2f2uegv1wwFlOanE6TBkY74m3PRMnDNkDmiyjnaRNZ2O52J5lh91lg1C5xlxjqoRvP+GadH/1TD16PEln6efPHXOfYTr4haL8+QZbrmMZ1Zxi0VKx7oJb9pCeINPulXYv49K7ym8UhGnkMMtl3FyObyKb4RUensIb9pC6tY7/M89pygc2IdnWT4j41y6nQRqQEHVVTzHw6k6eO7LsRwFZmaKiad/BICVmUv3E5gzS9m8J568DwCnVOASW6wXBDeTw834zuxK9uVH5RzPZKB4gI2JG5dJkdUE2mgNb2aweAhHXFiWjCKpNIXWUWt0LKmJBD9VfqraT96e5sKvo08iNkeeJkmyr/Hp2RSdNCU7Q1RfMHwVWSOipTCUEEE1SkRbmhnmCpu0NYLtVed6n12HSvNRw7ksNk0ysIWFLhkIBI3Gagr2DNLsfo6w5/fJWKOkzREMJTxL2LgwT6eMFtrDW/CEQ8GeXjE6eWFXREaVNCRJxvGsl93fmQ8kEevYSK5n5VpWPZpEuA6O6Tu1hfBwrSrl6REatt7E9PFncWe3qYEwnl31o4+2iaIZ/neuDZ6L59h4joXn2Miq5gdKz5BtV1sr85Y3B7n7rgA1NTKppEwgIHHzTQZXXaXPP2LPPW/xP/88T3+/Szwu8e53hvjQL0f40n+U+JtPLnVaxOISv/YrYd7xjhCf/HSBf/23BUe9JPlG2U03GrzxDQHWrVWJRCRsR6JQ8Dh61OaTnypwqsc9J+tpba3ER34rwmvuDPDCPovP/G2REycdhIBAQOJ3fyfKbbcYqKpEOCwxOury5/8rz49+vPz32NKs8NGPRGhoUPja18s0NsjcfXeQ9nYFRZEYHHD4wQ+rfOd7FSYnFwYmy1BfL3PnHQHe8PoALS0KoaBMMCQRCko4jiCb9ejvd3nv+9NnZGI9H1yUsdgS2kpCb0KxdXL2GK6w5wuCw1oNXeErydsTTFZPsmf85JJ9FUmnLbKTmNbI1GSB3lMTxOMhorEgL+3rI5YIsXlLK2NjWaLRIPWNcUIhA9f1CAZ1QmGDcnm52Z+xygwWF+ptDEVlTayOnTVnJsS5FIhp/sJ37r1Xdkw8BI47iu2c2+MlSxE8r4rnLRCReOL8PXZiVqJEWiFSuxgBxWB9dBXro+cmfflZYagyyoyZwRUumqxhuiZJPU7OLjBYHmVLfD2bY2vnmVwvBPsePMi//+k3uOYNu2hZ08i3PvNDitky17z+ct70W3cx0D3EV//ie4z3T7H2sk7e8ydv4c5rb5rf33M90uNZ9t73Inv+82kGj47QU+nncOwoR3ed4jUfuIWt160nGFkQhE+PZ/jI9X9K55Y2fuPv3s/+PYd5/Nt7GT45hlm2SNTFuPy2bbzmqpJApAABAABJREFUl26mc1MbmrH0vAqWyZ6hHu7rP87xzBSW51IXDHNb2xru7lxPRyyJ43l8ofsFHh46xYe2XMkbV2+mK9JO12yE+VR2hn869Cy5Yp4PXHY9uxpaMV2HIzOTfKfnCI9NDJE3Rwhr0+ysG+eta7ays75pvuZ2qlLib/c/SX8+w6euv4v/PHGQR4Z7mamWiWoGb1y9iV/fdjXpapm3/ehrrE/W8u+334MiLTV+9wz18EdPP8CHd1zLu9dvJ6hqjJUKfOPEQR4b6WO8XESRZVbFktyzdgvXN3eSMILIksRPBk/yr90v8M5128lbJg8N9TBRLqDLCpfXt/D2ddvYXts0b+SWbYu940N8v+8oB6fHKds2yUCAa5s6eOOqTaxP1S0xGF3hcWJmmkf7+0gFg9SGwqSrFR7oO0VI1bmssYnWWIzHBvvoiCVojcV4sLeHmUoZ03XZWt9AeyzB9453oyoyVze30ZVM8vfPP0tNMMSdq9cSMwy+0X0YV3hc2dzKVc2taKelnflkYbMRdbxzBhgEi6PdZ466y0jIZ9h2bvj9G7LB9sQO7mh8zXntpUgKhvxqVPG/IuyZaTKPPTT/Of/c04D//JnDg5jDK5NilQ6+hHnk2BL2UXt6kuzje5a1rfb3Uu1fyloYiAdo2l4LAiaOzCxh+bs0OJ+F0M/GUHwl4OEyXjlFQ3ANtUb7MufT2thVuMJhvHwSyyufRx2/hCYb1AU6WRW5nJC6lM1YCEHZyTJR6aHsZM/QhTwbHRQI4SFJCkgSwnPR9QiyrFKppJFllWAohaIGyGcHqLh5ZqwRItpCFoqEhCb5DKhhNbGETNGXrbKYqCw4R3Q5RFtwE66wKTgzaHKArD1Bxc3TFtrMWPUULYH1WF4FBRlDDlJvdKJKGhl7nLQ1Om+sDZReIqrVENcbl13XptA6NDnAQOkAOWsC2zMvIMoo+TrjqCiySkhNUGd0oMo6o+XjZKzRRU0lZM1A1vy1tfBcX/BellGNEMj+dfZsC8+q+iRPemD+PgjPwa2UkBQFNRil9rKbKY31A+CUl9bwZXqW83bkBg6jR5KUJvtxqqUV29mz/ZSnh5d8bxVmkGQVWfH/acEITmU5+U21Ijh6zJ43zHbs0Ljz5wIcO+bwg/sq89+PjLpkLgE5TCIu8bu/HeU97w4yMeFx6LDN4KBDOCyzdq3K5s0a5coZgvuLEiVSqVlD8TUBnnvO4tOf8Q3M+fOqCr74pTKPP27S3qbyxjcECAbP/Q7u7FD4lQ+FCYdl+noduo/aNDcqbNmq8eu/FiEWl/nM3xaYI8lNxCXe8uYgH/6tCCeOO3zxS2UqFcGuK3Ruv82gXBb8n38osu9Fm0L+ZyCdockBrqx9NyElSZ3RhXKa13pb6nVk7BEGivswveLspCGjSgatoW2sjV5PRKulSBbbcnA9j5raCK3tNUSiAVK1EUZHMlimg227OI6L63qzf3s4tv95MaNgybGYNhe0ZRJ6kHXx+vnoxCuFoLo0pbDqOgghaKr9yit63DlY7jDCqxDQN5678U8JmYkclmn79dyyRKoxjqotf9RyMwXMsuVTvssSkWiYaTGDEB55u4Ah6zQF6omoYUJKkOZgPYp8/nUdp6OUr/DCAwc48XwvoWiIUr7CU997gexknsyk7+mtb6uh+5mTfPUvvsf/+v7voagKnieYGc/yb3/8nzz6jadJ1MdpXt1IJBlieniGg493s/dH+/nVT72XO3/hZjRjaYRx9NQEX/rzb3P0uZNEEmHW7uyimC0x3j/F/f+6h8HjI/zaZ36ezi3tyLK/n+26fOPkIb56/CWawzHeunYrYU1n/+Qo/3HsJSbLRT64ZRcdsSRbahp4bLiXo+kpbm0ziRv+C8MTgpPZGbrTU1xR38KWmgZcz2P/1Bj/56WnmKyUuLllFW3RBMPFHHuGejianuJPr7qFKxsXnCyu8OjNZfj8kefpz2d4w6qNhDWdwUKOhpAf6Y0bAV7buYH/OL6fU7k06xO1S/a/r/8YqixzS+sqAqpGwTL5s70PsW9ylGubO3j9qo2Yrsujwz38+d49fGTHtbx+1cb5cynZNp87/DxN4Si76ltoCsc4PDPO4yP9VB2bX9++m42pehzP48GhU3zhyAsokszdneupDYQ5lpnigYGTDOSzfHTndWyqqZ8f33S5zHAhz5UtrVzV0sZgLku6UuH6tg5UWWZPfy/bGhrYUd9ETyaN43mUbIsrmlpoikb5++efZU0yRWMkSn04zH2nTvCBHZehKzJ3r1lHayzGVw8fJBUM0haL80DPSXY2Ni0zFiNqdF7+ougUlpD5rPg8O2Xs2VT3gBJCO4fD6EIhSRKarBNUgriei4RMa7Dt1TrE/4bQtTCaEsRyytiz2oVzkR8hfD1ETQ1Sk1hH1cySyffP6vnORYn851ac4ZmVZQk9pOK5gvxIAdW4+Hn8lYfku1ekOffLnCNGWmLIzH2vyvqKjhpZktHkIIYcnjXUZtO8xZzZJha+F4udP+e/qHOEzfHcU4RrEgTV2JJxSMhsjF9PSm+ht7CPipvHEw4e3kJ0j9kUQknFkEO0h7fQGFqHLi9P53eExVDpMFnrzBqQhh4lEm3CdS1MM08gmERRDCrlaVTVAPxIYjTajBGIY1m+AWG6JbLWGK2hTaiL5jFN9msVg/JphiuCymz66hwUSUGTA5wqPI+EREdwG8rsEjckx2gwVjFl9VNyckQju6kzOnGETcHJUKu3k3em59N2S06WgeJB1sQCvqF62pxXG2gnrtczUeljvHKSkpPBFTZiUbnK3F3wnyPfZafLASJaDQm9kaTeRFhNoMgaGXN02TOkhmIk1mwj1NwFQmBmp5l8/kHUUITa7TegReIgSVQmhpg+8ASRltXUbLsOu5TzJWXMCiOPfhc9XkPN1msI1DTQeI3v7Bve800QAjkcwivNRt6EWJYG7Tk22cFuOAsPx5lQGu9FCYR9o/UMjMPZnGDPHos9e/wA0DveHuTWmw2On7D5l/9b4jyUQ84bug533RXkve8J0tvr8JsfzvHSgYX0WEmCzk6F0VF3RWNxTpkomZD46Icj3HVXkL17LT75qQK9fUuvj+fBgQM2Bw7YtLQo7NypsWH9uc2t9naVctnm7/53ge/fW8V1/RTTe94S5I/+MMrll2l0dSmcPOkfr71D5Q2vDzLQ7/Inf5pn/0v++fz4gSqeF+Paa3VyOY/9+19+gfZF0weuilx1xm1BJcbNDb/OieBjDJT2UXIyBJUYreHtrI1eR2Q2x16SJaKxIMVClWKxivAEuWyZyfE801N5JEkiGgswNZnHcTzGRjJMTeYpl0yymTI1tQv1OabrUHSqi8agUWssr9+51PAJKBalHopzC0QIYeOJ0uyLVSDLESQMhKjgiSrgIUkqshQCZDxRRQgL/yUiIUtBJElHCJNy9RkcbxJVaUCWDGQ5tGQ8Pwv88x99je69pyhkSsiyxP/e8ye0rVtey/aNz9zPM/fvJzuVRwj4o3/9Fa6544olbSQk6qiZn4BfjgB7pVAhGA7wxt+8kxvefBWPffNZ/u7XPs+Bx7q5+e3X8KFPvoeBoyN84u1/x1jvBBMDUzStaqBSrPCTLz7KI//5NJt2r+U3/vcv0LWlDSEEru3yw889zOf+8Cv839//ChuvXsvqbR0+jf0spoZnKGRLvO9P7+GO999EOBYE4KnvPc/nP/Y1Dj5xlGPP9dDYWU9odtuJ7DT39x9nfbKWD++4lvXJOgDetnYrf/XCYzwy3MvO+mbaowm21DSwPlnH0cwkxzJTXDVr6JVsixPZKRzPZUddE0FVY7xc4NHhHqYrZT684xpe1+U7GWzXZVdDKx97+gG+fuIgVzS0zjtahPCdMQXL5HO3vhljBaZfTVa4Z90WvnriAF87cZCPX3kzsvANjvFSkb3jQ+xuaqc2GEaWJO7tO8rzEyO8e8MOPrDpCpIB/7zfunYLv/XoD/jysf1sqWlgR93CcxNQVH5j226uae5AliTKtsUnnnuEvRND9OUzbEzVM1jI8uDAKcKqzm/tuIbdTX6EterYfOnYfv6tex8PDp1kQ6pu/vy8ReuzkmVhuS6aopAIBDBdF08IbNej4tiYrovluiiSTDIQQJcVPOEv9lRZxlAU3r55C42RKG/btJWvHjnITe2deELM67q+ddOWFa9hrVFLVI0wbU4xVh2j6lXPKJfjCY8pc5KyU0KXdVJ6ksAl0Js8HUElRL3RwEC5n2lzioJTIK7Fz73jq/h/BopiUJNYR8BIUKmmSed6sewiQSNFKFCD45qUKgsGgiTJBIw4sqRgWnkURScUrAUkypVpLHt5xFBSZII1AWrWxClOlpk6tpS9UlY1ZNXAc6xZkXo/xU3WDCRFRTjWUh1CSUbRA0iK6hutnuuTaixiXFT0IEjgOQ6KpiPJim/4ug6uXT1jbWBAiRBVa9CVIIqkoco6qqSjShrK3N+yhirpKJKGLoeWpWuCT/a3MXEDtlfF8SwcYeMKC8ezcIU9+9n2P3sWpleh4ExjuhciqC4oOWmOZZ9gS+rWefb5xe/JhuAq6gIdZK1x0uYIFTeP5VZAEqiSQUCJkNSbSerNvuG7wnzjejYjpW4mq73nSGsVSLKC5CnIs+RcqmqgaSFc10LVdHQjikBQyA+jG9HZvTzKTpacNU5NYMFRqUg6Ca1pmfHqCoupSv+StE2/nGDBKHFx0GQD1TNmjT3BnIHva1QyX1c7Vj2J4y3NWBuvnsRQwnREthFUossMRk0O0BreSEt4A1WnSNFJU3WLsxrjLoqkoqChyv41DqqxFTUrV4ZEsLaZYEMbI3u+ucTYsksFJvc9DJ7ASNbTeM1rmD7wJMgKsm4wct93UDSDtp97F3o8hZkeZ/zpHxLt3MDwQ/+5cG0TcSLXXkXh8aeRDQOvWkXWNJx8gbniNqd68dF/IbwVo4k/KwQMife+O4htwyc/XVxiKIL/KPT1ndkoNk1BJCrxG78W4bWvDfD00xZ/86kCAwOXLnXYcQRPPGnx4wfM+frCcllw5IgvIxKPy7S1qvPGYizq13bu329z8ODC+RQKgn0vWtxys8GqVZeGJf7idBaF72VeTERyOgwlzNbkXWxN3nXGfhoa49TVRwEJWZZoaIj7fUoSza0L+ekdXXXzf7d3Lqd/98fkMxjOQZVkgsorq70GULKrSzxJhqyew6ARVKwD5MrfwXEnEcImFf0AYeMaCtWfUKw8iutlUOUaEpF3oiqN5MrfxrSOARICh1jwbsKB6yhVHydX/jaul8G0TxEO7CYZfgc/a2Pxdz77AQrZEv/56ft46t4Xztju/R9/M/d85E7u/9dH2fOfzwBnfp5ejpG4GPXtNey4aRPBSIDWdU3UNCUJhA2ufu3laIZGJBGma2s7p17qZ3okTdOqBvLTBX74Lw8RSYT44F++i64t/stMkiRUXeX1v/pzPH3vC7z06BEe+vLjdPzlu9BP09G76W27ue091xOJL9TPXvemK3nyey8wM5al7/AgV9yxfd5Y3Dc5ykS5yE2tqzAUlalFDJR1wTC26zJazFN1HdqiCTbV1HPg+BhHZia4oqEFRZLpyaU5ND3BqniKnXU+OcBoMc/B6XHqgmFWx2uW9BtQFGoDIfryafJWlYQRnN+WMAK8Zc3WFY0cAFmSWBuv5crGNu7t6ea3d1xLTPcXUD/sO0rVdbm7YwMB1d//iZF+HM/jtV0b5qOHALXBMNe2dPDv3S/Sl0+zIbXw27+2pZOueGreyAtpOs3hKK7nUZwlrDiemaI3n2Z7bRN1wfCS84vrvnE3VMhRti0is+OrC4eoDYV5sPcUpzJpaoMhAqpfM6lIEqos05vN8NTQICXbojkaJaCpKLKMLEnUhULc1NnF148cpGxbaIpCfzbDowN9GIqCpijcvWY9/3bgRUq2xYbaOp+46TSoksr66AbGq+MMl4cZqQxTq9ein7aAE0IwbU4xVB6k7JZZHV5DSq95RSJ+cS3GqshqBsr9ZOw0+zP7uK72hjOytAoh8PCQOTd786u4hDidGGXu87n+zyxhl6z6izu3ihCz9cN6FEXRqUutZybbQ7bQD0AoWEswkKJcmcZ2KtQmN2BoEQQQDTUxOrkP97SFt+e4VLMmZt5G1ZQlwTNZM0iu2kHtpmtIn3qRus3XYeammTjwMHWbryNU00J++DjDz3x3VrRcJljTTMP2WwjVtSGrOlYhzdSRJ8n2H5wn8WjZ/QZkRaMwepLEqh0EEvUI16E43svEgT2YuakVDca6QAddkcuWyTRcKGRJJaCoBJTzq/MtOVlO5fcyVjlxQccRCKbMfo5mn2Bj4ga02bq8pdIPCimjZRmj6Dn7FgJPOIxUjjFYOkTFPfviXwCuU0VRA4T1xvnItCyrqHoITQvheQ6KaqDr0fnIIkDVLZK2RkgZrfNjV2WNiLy0VnFOW3HqNG1FgcCdzbQQCPL2JG2hzZScLKZXZsocoC3kE9Q4wmLS7Kc5sBZF1ig4aVZaNw2UXgI82sPbCKrx2Sjh0nYSEkE1ukT64+VCUhQkTcOtlpdG5SSJQLKe2u3X4bkuimH4DhVZ8lmL0xPgub4j2ywjq4tJ0k4bt6biTEyh1aYI7tyGO53GGhzyjcX/hgiHJTZt1qhUBA8+dG4909PhCfiNX49wz1uCPP64yV9/ssDg4KWtMZ2Z8RgYdCiXl85L5Ypfe5hKySxaLiGEH8UUgKKCu2jalST/30oyXReDizIWJ6uniGi1qJKBLCnIKMiSMp+6cSGQF+kHSvLFn5QiS2iyMi9b4QiP6hkYmC4VhBBkrPISls+4Hjyr9IcQLpnil4gG7yQSvBV5li1QCEE0cDuRwC0ATOf+FsvuQVUacd0ZQsbVJCPvJVf6FrY7DHjEwm/EExVsd5z6+O+8oud6IdADGjWNCaLJ8Dzr20rQDI1kXZxYKoKi/nTSkoygQaLOXwSoukokGUJWZGpbfMZZRZEJRgMIT2BWbGzTof/IMOnxHE2r6mnorCM7dZpmjxC0b2zhwGPdHN/Xi+cuz62/+q6dBMPLIz+NXXUYQZ1SroxrL3jFpypFKo7NPxx4mn86+OyK5+IIgek6BFWNralG9oT8NNLxUpGmcJQT2Wn68xle27WBzpj/wi3aFtOVMj25Ge65b+VU6S01DRRte4mxqMsKrZHYiu3noEgS71q/nV8f7ee+/uO8fd1WhCf4Yd8xkkaAq5va5vVNx8sF4kaAoKItSxVvDEUxFJXJconqojyUukCIkLbUAaTOPl9zv8GMWSFvVfnWqUN8v3epDtVilB1n3ljUZIVdzS1c3tSMEGKZpumvXH4lANsbGpf1A/A7V18HwMeuvRFXCFTZXyB1JZLIkoQs+alIH7vuRpxZYp4zzZO7a67lUO4gI5URfjR+HwktQXuoY75OV+BRcas8NPEgg+UBVEllW2I7TYFXRt4mpafYHt/Bi+l9pK00j0w+TEqvYW10HYqkzC+cvFnGXcszmahO0BxsWZGZ9VVcesihAEoshFus4kd2ZCRDw6taSLqKMB3kkIFXriIbOp5pIRk6Xr6EsB1st0LFzKLYZfLFEWynjCQpCASaGkJTw7NRIgldi5CIdjA+/RKZfD+xcDPhYC2q6s8VpplH18JUzKXGoqzKyKpMNW9iFpdzDkiyjB5NYUSSTB58lMbLbqd195vI9h2kNDVI/dabSJ96kdJ4H0asllU/9wvY5Txjz9+PY1VIdG6l/Ya3gfDI9B6Y16iLNK0iWNfGzNGnmTz0GKHaZuo2X4/n2Izvf3BZ7db/qxAIxirHsb0qm5M3Y8ghEC/PYSOEh+PZDJYPMVg6hHke7KeWmccyL+6aWl6FrDWB5VUwlDOTEnq4FO0ZCs7Mku+rXpH+8oH5zzlnilz+MRZ7Jo4Vnlqyz8nS85yL9GigdJCKW2RV9HKiWg0y6iV1hPks1EvTV33pChNFD6BFk77BKPyobaCuGdeqMvn8QwTrW2m8Zi4gI854Gn6GCiiBEMJz8SwTt+STVamN9YhKFbdcxhoZ52VRZv5XwWm3R5YhmZJRZEhnBJWLIAm+581BrrhcIxqRePwJ65LUUJ6OclmsyJbqkwQxm/y+gFxecPKUQ22NzOWXafNpqA31CldcrlMqCbq7L40ddFHG4veHPo7llakxOqkPrKYusIb6wBriWqPPHiUpyJKMhDKbE//Ke5gNWSWqBZiZrVs0XYeM9fKFKM+GimszUEwvEUNvDMbmNfZWguvlQNJQlBok5rw+AoFJrvxdKtYBJFQq1n40rRMQqEo9qlKPJClIUhAJFTEvyyEW/X8xE6eDbTp+raAEVtVGeL5Iqm6oaIa/6BZC4LkeVtXGdX0XhaLKaIbme4Bn2yDAtmwc251lsROzfWmo+nJmx0sB4QmqFX9hoQe0JTWqc2Oe2yYr55faoWgKxqzsiixJKIqCrMgEwsZck9lXh0B4Ho7lMNozjhCC0d4J3tnx62fuXZIo5yorTtiNnfXz13MxdENFliVcdymhydzVfNPqzeyobV7RAbEhVUdQ9e/jxpp6NqUaeGFimCMzE2iyzLH0JHHd4LK65iUGmQRsSjXwzvXb0VaIRiUDQZLGUsNWYsEwOxNkSfJrICNxvnHiIG9Zs5kjM5Ocys3wznXbCana/HPis6H6L8jTUy09Mfd8SUtmRl1RUc4ZPfOn0xtbVnFr22rUFdq3ReNE9eWyFPKcK+4iIUkSCnOeb39OqDrOEgP3XNewOdjCrfU/x31j9zJcHuJzvf/M5alddIVXYcgG0+YU+zL7GCj34QqXnYnL2BbfQVS7dF7txZAlha5wF69puovvjXyHkeoIn+v7Z9ZHN7A6soawEsYRDnk7z2hlhL5SL65w+b31f/iqsfhTQvTmK9Dqk5T3H0dtqEHSVETVQggPa3CCwKoW1MYU1sA4Xrk6H1WsHO1HzDqo5ngFfP4BiXiklUiogVxhCFnR5iOFrmtRMdOoaohwsBZPOBTLE5QrMxTK437N1gp1i8IV4AkCMR0junLGj1MpMnPieRyzRKx1HWoozviLP0GLxKnbdB1GrIbK9BC1m65BVg36H/oSVtFPZy0MHSNU00L99pvJDRzBc/zxKkaI4ae/Qm6wG+E6FIaOEkg2EappQdECOPz3MBbnMG0O8NzUt9kQv4Eao9U3bC5wDSZmHT8lO0NvcR9T1f75iN0rjapbIG2O0BRaWbpJIHA8k8nToopnxqUhPZqs9pK3p+iMbKchsBpdCSHPatpezNpn3kAUHqZXImONL4vaViaH0aNJWm5+i98uPcnU8w9hZadJrt1J841vxrMtqtNj8yGmuedeknzim7naVOG55E4epOOu9+NWcgz95Gt45QrmyV7Mk73Lxnc6AmFlRUmGi4XrCGzTvZhSyHPeLkkCRT3zWC/2LG643uCpp022b9f4vd+JMDHh8uSTJuYlVOHxLlBis7/f4dvfqfAHvxflL/+/OD+8v0qlIrj8Mp3dV+s89bTJTx688CjqSrgoY1GVdUyvyGT1FBPVE8zdPV0OU2t0Uj9rPNYH1hDV6lFm6Yd9A9Jn/LvUxkVEM6gLROaNxaxV4WRuCk+IV4zk5kB6mPJpujVrY3VnTNUDUOQECIHjTOBpOSRhIEkqlt2L5Q4SC91NQNvOZO4vF+21wJK4GAtahCaeV0GStHlW1Bf3dPPDL+zhqtf4YuE//MIjTAzO0NBWw2s/cDN3vu8Gf1FbtTn+Yh/f/vsHOP5iH57rsnprO2/69Z/jsps3z0f8Crky9/7zgzz3k0NMDE7j2i51rTXc/YEbueM916Pql9bb5h+zxD/9/ldxLJe3/87drNnWPr9trH+Kr/zV9xEC3v2Hr6d1zcpRn9Mu2Bmj12cauud5VIpVJEkikgyzdmfnWQ9R11qz4qQaCOsXFDlvCEcJaxqdsSSv6VxHzAgseQLm0hjnrnlMN9icquep0QG605MEVJWj6UnWJmrZvqjuL6ob1IUiyBJc19xBWzRx1n4vBJIkoSky71i3nb/Z9xjHMlPc29uNJwR3d22YZ1gF6IgmOZGdIWdW8SJi3hj2hGCkmMN0XRqDkQtOJa8JBEkYAZrCUW5tW01dKHLJzu98YToOD/X1IEkSvek0v3Hl1Re0//V1N6BIMveP38e0OcXDEw8u8TrL+PqYlyd2cVfT3bSEWi/1KSxBWI2wu+ZadFnnh6P3knfyHMge4KXsAjPenAaqLMkk9eQZ01RfxaWHM53DHpsCRUZUTGRDA0PDzRawhsZRwkHs6QxOOo+xuhV7eBKtuQ7Z0PBm16fl6gytDauJR9sYmXgByy5iaFFa6i9DVYNUqn4Ux3ErTM50o2sh4tE2pjMncVyTprodNAiXXGGIyfSR+UXqHKQ5LbOKgx7RVwzmCM/1a6SEwK6WENJsIyHwHAtJ0ZBkhUhjJ9XcBI5ZRtYWagXL0yPUbNiFrGrzi2bPNilNDCypZbSLWYKpZiRlZaeuEB6ucJbVsL0SkGQFaTY1X3gsZ9WUZOS57UKcUSdvMSpugf3p+6gzOmiPbCehNyKjLOJEXj73LRDteBSdDKPlY4xXTmJ6r6zD/XRU3SLT5iB1gY6ztjl/Y/HSoeoWOJZ7kuHSUZpD62kIrMJQIshza1rgzKaImP+P2drKnD3BZLWf6eog1grX2a2WSB95lvSRpZlF5fEB+n7w+WXti8MnKQ6fRAvIhOOCkUe+tbDR8xh76geousyG61LUdgSY7Cufly0tyfDRL26jY8ulc0gefTrDfZ8d4NQLF+6sEfhGlST5GYWnQ1UkalJLv/c8SKc9HMdnMo1EpJUjeGfBpz5T4CtfLfPGNwT4rd+M8kd/GOUP/tBj/0v2OWU2Xink84If/ahKU6PML38wwgd+MYzjwNCgw2f/qcgXv1ymfIl+whf1Rr+96beZqp5iqtrLtNlH1h7DEw6OV2WscpTRSjdzT2FQiVNjdNIQWDtvQEbUWlQ5cElrbJJ6iM5IDcdyfiF+xbU5VZhioJimK1pzyY4zB08Ivj3wEqa3lK5pW7JlfoG7Ul0SyKSiv0Cm+CWy5a8hhKAm+kGC+mVI6MwUvoAqp3C9Aoo8N24FkGcjMApIc6Q6Erq6mpL5DEMzHyQWvJtk5F3zR8pOFdjz9WeIJEK87oO3EkmEyM8UaF7lM0G6jsvRF3r5zK99gfq2Wj74ibchyRJPfO8FPv1r/8rv/8sHueyWzf6oZYmjz/dw1Z3bWbWlFSHgu//0IJ/9va/StamNDVeuvmS50XOIJSNsumoND3/dl6pYvbVtVqdJ0HNggInBaXbffRnNqxou6XEXQ5ZlApEAsiLRsbGFv7z/j34qkfKrGtr4Ye8xfjJwiu21TVxe34IsSbOROLBcB01RljgmNtc0sDqR4mR2mrxVpWBbbK1tXFIT2BaJc0V9M988eZgf9Z/g/Zsux79t0iwduYfrefMpmhcKGYm3rt3C3x98mh/0HuOBwZOsT9SxLlG7JKp2e8canhob4NunDtMQilAbDCGAiXKRx0f6qQ2G6Iqn5msczxebUw2sS9Ty/MQwz44PcWfHullnkcATYHsuEtKSaJ8rPBzvdBa7C4cqySiSjCzLXN7UQl04TG8qfe4dV8A1tdexLrqBvelnOJw7yKQ5ieO5RNQIneFOrkztZl10HUEliCccBB4S6jwJgyzJaJKGJmlLhK7nIGb1xyTk+baqrJ1xTg6rYa6rvYHNsS08l3mOo/kjjFfGqLgVZEkmpsVoCjazPrKBbYnt1Bn1K/bzKi49SnsPLfkc2rmeSncfYtblXX5pQYvR6vOp+avH+pfsUzWz9Aw+iF8X7698eof3zGa2LayExqeX67RNpY8ynT6OJEl4Z2BD9RyBZ7vImoxruSsuUn3yGdcvXRBiXgdyKSTUQAQtkmDrz39ihT5A1gIwS/XvVIvLDFefpnvFYQIwXO5muHzmFPZLBVnTia3dRsP1dyOrOoX+DOP3LUhBSIpKuH0NLbe9FdkIUp0ape8//+G8+58yB5gyBwkZKWqNNhJGE2EtSYAQCgog4ckeplem7OTImmOky0MU3DSe5M2n8vqDmc26ONeqeG7+EB4gIc2m5Ps5dLPkMrM1s36Ae25NAwjhE+mUuxkpdyPJyoIXV3iIRceWZJU5MXi/I39OWxyWWbL/HE7r52JQdGY4mX+G3sLzRLVaEnozUa2WkBrDkEOz7LgynnBxhYUtLKpuibKTpezkyFtTFJzpSxOtlRZE2MUsXWcwohKu0clO+EREsuJn6AhP4Dr+vw3XppgeqLxMrdOfDVwHKmWBrkNtnbysXDsSldi+fbmTuVQSHD5is3mTxp13BPj2dyrLonin97UYMzO+sfnl/6jQ1qbyrncE+ciHI3zifxU4cfIS0rZeAHQdLrtM4667gvzL54p86tNF7FcoCeCijMX28E7awzvnP1tembQ5yGS1l2mzh2mzj7Q5iOmWqboFRsqHGC4fZO4NEVJS3N70UVZFz8yoeqFoCEbZFG/kxyMLk3x/Mc13Bl7io5tvuaTRRSEEL6WHeWTsBPaiOHpE1bm8tn3eWHSEy4yVJaKGsD0XVVLQFQ1Z2UAw8idEZQXHcxCSQsH1UAMfJBoAQ9Zx8B++sge29hayTgXLylIbunvJWMKB3YQDu1ccZ36mQNu6Jn7zb3+e2ubksu3p8RwPf+1pQtEgv/+5D1LXkkIIwZbda/n42/433/mHB9h58yY/qhYP8f99Z2ld5JodHXxg5x9x+JkTrLusc0ma6KXC9us38PxPDnJ8Xy9brl1HfWsNjuXQc2gQPaCxetuC3MQrAVVXaVnTiOt6jPdPUS2ZBCOXnnXydKxJ1PDWdVv57MFn+cOnHuDqxjbao3HKjs3R9BSaLPPzGy/j2uYFD+zqeIrNqXq+deowh2bGWZuoXcImCj6BzO3ta+lOT/LPh/by3PgQ22obkSWJgUKW4WKeW1pX8ctbr7yocUuSRE0gxF0d6/l+bzdTlRK/uOmKeQ3EOdzZsZ4nRwb4Ts8RevNpLqtvwXJdHho8xXS1xMevvIXV8dQFH781Guf1qzYyWMjyl88/yoODp1iXqMERHqeyM5Rsmzet3sQbVm+a3+fJiR7+/MAPGavkLuqcwWdffs/qq/jIxlvxPI8XRodhNrK49qqVf5/nQq1Ry91Nr+PuptedtV1P9vNkzYN0xd9HbdCfU3fXXMPummvOuM9k5THGSw9SH7qJG+ru4Ia6m5a1WezskiQ/alhj1PKaxrt4TeOZictexc8W5f3Hz91oBZwu27DcyDrbvmfXBZVVCSNuEEga5IZfjr6iH3W0ynlGn7tvxRZ2edHv+EJyun7K8GyLbPcLFAdPktq2Gz1Zt2S7cB2Kfcc4+aVPktxyFbE1Wy/4GEZbG7HXvAZH1cg3NZE1TXJPPUn+6acIrltP/LrrUePtCM+j8EKJwt4iWk0z8etvIPf4o5hDQwBEr7oaNZmk+OI+7IkzS2c07bwdSZKZOPwYoZoWGrfdQnGij7H9PyHRsZVIYxe5wW5CNS0YsVpKkwM0bLkRLRQjO3iE4b334lpVAskGGrfdQrRlHXgeucFuxg8+hFXMYsTrWXXLe5k6+jQ1a68kmKjDzM8w9tJDZAd8x4miB2i98vVEm9egGiFkLYBrV0mfepHh5+5dEmm+GKyKXEHFzTNZ7SNjjZ17h1k0BtaSMpqpuLmXbSzKikR9Z4ir72lGUmC4u0j3Y9Nc+ZZmJntLjBwtEK3RueZtLWgBmYEDeQ49PEVuwqSuPXjuA/wXRaksGBhy0TSJnds1du7QODDLBFpbK/ML7wvT1amSP01XsFoV/PsXS/ztpxP8jz+K0tvrcOCgPc/3BdDVpTI97ZHLnXk+EwI+/ZkCjY0Kr7nD4P3vC/HZfyoxPLLUUTbX52LTQ5YkZn1h8329HMRjMps2agQCEpmMwDCkJe/teQKcSzANXpJcIV0O0RjcQGNwAzCXj+2St6fIWsNkrBHS5hDD5YNkrRHKbhrbu4gK07MgoYfYlGykORRndPZlkbHK3D98hI5Iird07ABefvqZEILRco7ff+F7lJylaSp3tmwmqQfnj/Fi5iiTVT+yYCg6iiQTkHWmrSxj1Wlq9ARrIq1MmRmqroUqK+TsAq4nqLgmmqyQ1GPU6AkiapCodn6sanMIxYJ0bGxZ0VAEX3ewr3uY9g3N1DQl8GY9bpqh0bmplQNPHMM2nSVi8f5D5z95tc1J9JBOMVt6xd7J7eubWbujk8NPn6D/yDB1LSn6jgzTd3iYzk2trNl+5nSVSwHNUFm9rYO6lhpKuTJ7vvYUd/2ST0I0d5/nf5yLykYvRfTxzas30xVN8o2Th3hytJ97+8pENJ21iRpublvP6sRSY0qRZTbVNJAc6uHIzASv69o4L7mxGJtrGvizq2/n+z1H+UHfUZ498hyyJNMaiXFtUyfXt3TOt5WYcypfGB/tezfs5Hs93Wiywl2d69FOq+NVJIlP7L6dLbUNfPPEYb5w+Hk0RWFHXRP/8+pbuby+Zb4eU2JBdP70MUgrfH9T6yqawzG+c+oIDw2d4uGhUxiKSlcsya1tq5ek5b4SkGWZXS1t1IfD9GYuLrL4ikMwW1N+5vpqgY3pphHCJaSdmUXx9AyKuU/+s/PKR+Ffxf8bsCsOhdESZv7i0zuF51Ia6yGxagdmZnxeLPynhzORoZydJOXc2y/1eHwk77qL/FNPUT7aTWjTJqI7L6fw3F6EaWINDzH55S/hlkuoiST173wX1RMnMQf9tF2toQFragph2wS6VlE5eQInffb5zC7n0cMJ1EAYLRRDCF/SRA1EUI0QkiRjl7LIDV3EmtfhVEv0PvJlhOsgqzquVcGI19Gw+UZkWeHk/f+ErGrUb7yWtqvfRM/DXwRAC0ap33QdQ89+DzM3Re36q2jb/UYK4714dpW6TdcTSDZy5NufRHgua27/BaxiluG99yK8lx8F6ik+f1H7jVdPvuxjz0EPytS0B+ndn8Uxfb6JSsHh6OMzrLrMLy/RDJlko8HXP37skh33Zw3XhZ4eh/vur/DGNwT5jy+nOHDAwvNg7VqVUFDmvvurXH/d0uwo24Z7f1Bl29Yyv/gLIe79Xg0HDjoMDjpEIhKdHQpdXSr3vD3N889bZ+X5qVbhE/8rT21Ngne+I8TIqMvXvlYhPUt6s2O7xpo1KomERHOzwto1KsmkzGtfG6C9XaFQFAwOOhzptpmZufh5IZP1eO55ize/KcjH/zjKx//YTxX2PJ/85tgxm699rcK3v7s8inqheEUKS1xhkTaHmDBPMFE5yZTZQ8Ycms1/f+U8fWuiddzZspF/PbmQ4z1czvJ33Y8wWSnw/rVXE1KXE1tcCJ6Z6ud/vHgvY+XckjMxFJW3de0kpi14bGRJRp1NAau4VdpCjWSsPEHFYGtsDY5waQk2oMkaJafi05XLOq5wCSoBBAJd1qgzkhTsEiWnDJx/Sq0e0JZINZwO13GZGc1wcn8/j39n6eQnhCBRH6NcrBI3ItiWw0NffZonv/8CwyfHKGTK84Q3rzS2Xreeg08eo+fQEFuvXc+Jl/qplE1WbWsnkjjz+V0qRFMR3v57r+MfPvzvfPHPvkkkEeKGt1y9JJVpoHuYR7/xDHf90i3UtdRcMvWSHXVNKxo3Z+r+huZOrm/uPGsbgMZQhA9t3cUvb90FwGB5kGem93Jd3VpagwsGZkMowievu+uc/Z2OsOb/zm5uXUUqEFxxX0WSeNe67bxz3fYl35/e9k2rN/PG1ZtX7ONDW6/kl7deuWzb2kQNf3DFDfz+FTecte9XAookUbBM9g4P0pfN8uGLjCy+kqgP3Ux96CbOdkUqzjhjpR+jShE64+86YzvLdjl4YoQHnjgKEtiOiyzLJGMhfus9N176wb+K/+fgWh7TxzNMH8+cu/FZ4Dk2k4efINaxhdV3fYipI09hF7MogTDh+jZcs8LESw8jLoo5Yym0WIr6a+6kPNKLkaglvvEyJFlh8pmfkDnyHMKxCbWupuay6wm3rMKtlsl2v0DmyHM4xTxKKEp8/Q6Sm3ehx1K4VpX8yQPM7H8SO//yroMkK0S6NtB86z2c/Pe/wrNmtQ8liZY7ffmskQe+jqzp/upaCHAckBf4FNVkiti116KEfSe03tiINMtRUDp0kODqNZjDwyiBIMIysad9w/FssEt5tFAc1Yj4xEhmBeG6GLEaFM3Ac2ycahlJkqjmp0j3vEg1uzRSacRqCSQbGN577/y2yWNP0777LcRb11PNz+BaVdI9L1IY9Y2vqWPPULvxGoLJekpTw4RqmimO9SBmGfHzoz0k2ja+LAKz/2owyy4zg2Vu/5Uuep7P8sIPlkc4hSfITb3ytbc/bfT3u/zFXxUYG/e4+64Au6/WyeXg6WdM/u3fS8Tj8jJjEcA04X/+eZ7HHjd5z7tD7NyhsWVLgHJJMDHp8cUvlenrc86rBnFy0uMT/1+eT38yzod/M8LEpMf991cplwXvfleQN78pSCAgLXnk3vD6AG94fQAh4Nm9Fp/52yJPPX1x90dRYPMmjV/6QJjILEPr1JSH54GqQk1KZutWjT/9uEooLPGlL7+84sVLYizm7UkmKycZrx5jrHKMabMXy63M1jqI+VqgkJqi3lhDU3AD9YE159W363n05NIULJNVszVMRcvCUFRixtKHoTEY49am9Tw71U93dnz++6lqkc8ef4IfjRzhTR07uKlxHV3RmvNaOPrMhi7PTffz1d59PDF+CmuFuoxfWHM1XZHaJayVYrY2Ymt8LfWB1Lzh6G+bqzqUqDWSnM2InhORvSic5SRlRSbZEGfN9g7e+Gu3L9uu6SqRWBCzYvHF//UdfvzFx3nLb97Jz//xG0k1JDBCOu/d9LsXN64LwMZdq+nY2MrJl/rp3nuKvkNDJOtirN7a/opHLiRJIhA2uOWd1zIzmuHrn7yXv3r/Z/mn3/0yjR11lAsVZkYzlAtVhOdx09uuQbSIS6YLeaERvfNtP3fd5tr6jHlLt13M8efwo/7jeAjeuHoTmryULffwyVHWdtRj6OqSMZxtrGdqc6Ztp5/fTwuS5FN41YfCNHSuYnP5px35OD/41+fsV8dy0+StY6SMK87aTtcULt/Uzpr2Oh565hh3XLsJIeCHjx1ekuLzKn42CLQkaXzzlSSuWIUSMagOpZm4dx+ZvadwS76R0XTPVQQ7aikeHSGyqYXYzk4QgsKhYca//wKl42PzuUxKUCd53Xrq79xOoK0Gt2SSeeo4kz8+QHX4lY+k28UsPff9Ew07b6PpsttRg1Fcs0I1M87U4SfOwBVwcVADIZJbriJzeC993/gsihHEKRcQjk2wsZ3kll1Up0aZeOI+9EQtqW1XI6kqU3sfRriOv+3J+zDTkwTqmkluuZLklquYfPrHL2tcwnMpj/bjVEtE12wh170P8OscY6s2M3jfl8ETZB74EbVvvodY+nokVSH74IN41QpyMEjtG9/EzI/up9pzCknTaPrlD833Xz5+nMiOnaiJJIHOTuzJKZz0uQ1cPwW4lUC8FiSZam4KhEcw2QSSvCRF2DXLWMXskv1lVUcPxRCug1lYkMbwLBO7kkeP1lLNz+C5jq+TOXc9ZmtcZdUAITDzM4Tq2kFWwPOINnRQyU7MP8MRtYZ1sasJq0lcz6avtJ/Jai8SMtsSt1N00iT0BgwlzEj5GMPlbiyvQkyrpyO8jRqjlYHSQYbL3dheFUVSWRO9ElXWUSWDuFZHwZmhv/gSGWuMkBKnJbyJxsBqMuYoPcXn59lPNSlAY3ANraGNKJJO1h5noHSAop2mNtBOR3gbeXuaeqMTF5uh0hGGy91+cCGsEklpJJsM2rfGKedtrnh9I8kmg4m+ElN9S98/dZ1Bdr2hidr2IFODFY4/lT5n3aIQ8NJD00wNVYkkVMIJjUhSJRzX0Az5ZUnenY5vfLPCt79TwfPOreAxMuLxF39Z4K/+ujBfaziXdgmwbccErgdIEmoshpPznz3XhYf3mDzyqDlfijt3nggZ5zTps//xx0X++E8KuI7PezAHo7GF470zvO4NMz7ZTqKOyO6bcbsP8ocfG+Zjf3x28h4h/LGo8SQjOfjt380gSSuf99FjDr/2m9kl29euUfnoRyI0Nip86FezPPf8UqNTVeHKK3S+9MUUd9xu/GyMxbHKUcYrx5ioHmesfJySM4OL4xelz+rFKJJOrdFFY2A9jUH/X0StQ5E0JEmeZZDycXh6gqhu0BaNL6stlCQJRZIZyGcRQFM4yvH0NHWhMFuNhmVttySb+cDaa/iLgw/MM6OCT2xxMj/Fpw8/zN93P0ZdIMKqWO0ytkXbc3lqsoexSpa0WaavOEN3dpyqa+N4Ht4KRtvVtZ28e/UuopqxZFF8eXITIBZYyKRFDKaz/Syk0C0978XbXymE4yFWb21nuGeCtTs6CMeWR+kkWaJasXhxTzcbd63hHb9zN7Li6zf1HBrE8165SPEc9IDG5qvX8MCXn+SRb+0lM5Fj23XraVv3yqYTzkGSJMLxEO/6ozey89at/OgLD3PkmROcOjCAbqgk6uPsuHkzu197OY1d9a+4Absv8yKHcoeZNmfI2Xk2xzZyS/1NZOwsz0w/y6Q5Rb1Rz+6aq1gfW0d/aYAnp59itDJGSk9yVepKtia2MFoZ45HJRxmrjmPIBiHl5dcxCCEo2hZfO3GQzliSG1u6lsl+fP1HL/KRn78JQ//pSisIIWaNl6XevoQeZHOiiYCikrUqFB1zSS3yxUCWJX7ScwpVlmmNR6l6JkHZoOiUiaphim6ZgKxjejZlp0LJrdAZbkGXl85HObOb/vxXSVdfwBVldDlFfeh62qNvI6S1zbeTUJiuPEV/7kvkrG40OU5r5HU0R15HQF0gmxnMf4OT2X/B9nKE1Xa64u+nNfr6JcfMVPdzMvOP5K1jWF6eidIejmU+A0DK2Mmuxn/2SSnmjr3oek6nS4xN5QHB6GR2mSzKq/jpItCcZM0fvAFkmPjBi1gzBWLbO2j9hRtREyGmHzyEU6iCLBFe20hsRwe553oY/tdH0eti1Ny4kaY372L0P5+h3DOJrKs0vPFyam/dQrF7hMn7X0JviJHavQ69Nsrwfzx5XgZjvCnIZfd00LAuxpEfj3Do/r3MnHieYEzmird10nHFKN0PjtEP2KUcx779qUXEJAKrmGH4qe/MrvQWVnuLSU6GnvgmSNKy+rSxF37E2L4HEK7Djb+yjomTefqencYsrZCeqCiUhk9R6DuKU8yxOO0z3LYGz7LInzyElZnCyk4TqG0k0NCKkaqnOjlCeaR3YWyOQ7CxDS22clnIhcJzbAonD5FYv9M3FiWJcPtaXKtKebAHEKipGsrHj5H5yQMIy0LMRhklXQdZxisWELZNZPuO+QgjAI5D5eRJjNZWAqtWk9vzMG7h3MyVdjkHwiOQbMTMz1CeGUELRgkkG7HLeazSgrEo5u7XaRCznvTls8biLwXekvu6qE7Lc5g8/Birb/9Ftr7tY7hWlWpmnPEDDyE8BxmVbYnb6Cu+yJQ5gK6E2Ja4DdMtUXTSBNUYeWeaA5kHUSWdTYkbKToZpqsD5O1JDmf3sCF+HZ5Y+rzos+Q2vYUXqbg5VkWvoMZop2inKbs5TuX3UnUKhNXEojOSqQ90ktSbOJJ7lIpboDG4hs7wTk4WnkGVNIJKlNHycXoLL1BjtNER3sa0OYhRY7N6V5L/+P0jKJrMde9s5b6/6+GHnz4FEniu/7574J8WmGOnBir88DOLtp9PWbKABz4/vMSwkiT/XhhBhVBcJZxQiSQ0wnH//9turaFrewzNuDAeC8/z/0m6QaC1BSUaxUnPIAeDyIEAbrmMXlOLpCi4lQqyriMpKk4ui1suodXUYWdmUGNxkGXsmWkkWSK8dQf5Z5/Gnp70T0msbJSl2rdSnBnEMYvIio7nWkTqV1POTuA5OVhE9hW/7CqyLzyDNelHdCUhgeSvjV33/OUqQ11rAUH+pbOnNp/eX02NzJYtKseOuzy3Qtqs68LUtIdtC2Kxl88nclHG4v0jf0nJmZnX4wGIa83UB1ZTH1hDQ3AttUYXmhz0KZvnjcPlkhkjxTw/6D1GxbG5pqmdDak6jmem2Tc5woZUHTe2dBHVdSKaPq/35wlBulLm2bEhgqq6JE3PkFVuaFhDeZPFZ47sWaK1KABHeDiuxWApzXA5w+lTkuW5/GT0mM88KXzT1zuLp3JLopk/u+xuao3wMhf62TThzmUEnr79lTAaaxri3PKO3fz9R77EX//S/+WWt+8mXhMlM5Vn8NgoNU0J3vCh25Blmeaueo4+38PeHx+gtiXF8PEx7v38HgIhg8XX0HM9ysUq5UKVfLqI63hMDs0QjoUIRQPoQR1ZlvBcj2rZpFyokp0uYlsuM+NZpkczhKJBjJA+T5gjSRJbrlnHcw8cYN9Dh1izvYNVW9pW1C08E3a/7gq+1r9tCQnP6p2dfHrPx2cnPT9tsqY5yYc/+0u4jovleHztq0+z/8UBrrthPa973U62XreejVetwXM9n13M8/jMp3/Ma9+wky3b2peMqbYlxReP/x1CiCWkOI8P9rOjoYmYYXDrr96CdHsH13Z00Fhz7kWEK1wGSkOsiazhLS1v5qGJPaSMJLIkc7JwilWRLt7R/jb2Z1/ieOEEmqzRW+ql1qjlntY3c6xwnGOF48S1OMPVEWRJ5jfW/ConC6d4ZOqx876eiyGEoOhYfOvkIRAS9/UfY7yU57M3v5GAos7/LgZH03zroQPs6x7krz73IIau8lvvuYn6VIR//NrjxMJBxqZzjE8X+MBbdrNxVQPf33OQF48MkS9V6Wqp4Y23bUdXFX781FEGR9NUqja6rvLGW7Zx+eb2+Z+g63nkylWEEOiqihCC6VyJQtVkdVMNkcBCVsKWZDN/c8Vb8ISfBeF6HiXHJGtVyFgVclaZrFVhrJLj6akeurNnJjQQQmC5Dk8M9ON6HhIS49Up9kzspTXUSGeomSen9zFRnfFrkbUwdUYSRVKWRUQsN8fR9KfQ5STrkx9GlcOU7WGkWQ3bxSjYJyk7QzSGb6ct+hZmqnsZLt6LLOm0x96OLPnPd2v0jTSGb2O0dD/jpT0Ilr/Rovo6Ntf8D9Lmiwzk/5O64DU0R/xUZEUKAivPa7FwgNfevIWn9/chhODNt+94Nar4M0b96y9DiQXp+et7KZ0aB0+Qfuo4Hb9y27zBVzzmM6SqkQBTDx9m8of7sdNFn21SVYhf1olRH6fcM0lkcyvxnV1kn+th7Jt7cfIVkCWcXJn6O3eQuHwV4+dhLObGK7z03UHW39yIpEg+S6XrUc7Ai98ewCo5SNLCwmwlQpJzpZqeabtvdPp9y6o0zxZ5Jlj5NG5lzvE8+xuVJNRwlOTWq0ls3jVvoEqKQmVsECUQQlI1wi2rSGy6AqO2AVnVkY0gpcGTZ6ddPE8IxyZ34gCpHdeiRZPYpRzxtdvIHt03f+6SJBHeupXguvVIgJPLMv3d72BPT1Pc/yK1b74HEFROnMDJ5Zcw0JaOHKbuLW/FzWawM+nzGq9dLfppp6kUZm4KMzeFaoTQw3Gccg67lD3r/p5j4VRySJKMHk1hV/zom6zpaMEIVmHxs3Wm8Uh+KmwgwvEf/AOOWZpl2vVTUmN6LQLBjDWCIywcxyJrTxDT6qnORvtmzEFMr4xJiZKTIaREUWUdy1vImFsJGWuUgjOFJ1yqTgFNNlBkHds1ZwMpS/fV5QCGEqHiFsjb04CgYE8TUVPEVL8cZE4qxBEWFTeP7ZnocpBKvszwkTy739ZKteiw//4J3whylo7NW/x5he3nA2/ZPv5nu+pRzNpIg3N+G3+lGq3TadsYuWBjcQ5aMokcMCh1H0JL1aDEYlgT44TXbcRzHYTnIRsGyDJCeCjxBHpjM04ui9HUAq5L4fBLhDduptR9GH1qAntm6pzH1UMx4to6SulhUm1bscoZJEmlkp9eGFuihvhlVxJZtwmjph63Wmbm8QcRrosSCJC69hYkRcGzLTJ7n6A6PEB0y04i6zajhMPYmRly+5/DzqaJbNhKfOeVyIpKZO1GiscOkz/0IkZTK7Ftl6PX1OFZJqUT3eQP7lsyVtcFy4REXGLVKpWTpzGy1tXJvPOdQZDg0OGXT5F6Ucai45m4wkaVAqyLXsOG+C00BNaiyQEkFGTJ1/RZHEk7E5rCUVbFkzSEouxuakOVZaK6QVjT6Mmm6ctl6IgllhhiWbPCYCHLltoGrmhYvaQ/SZKIagZ3tW4mqYf4x2OPczQ3zukQgCuWsr/NwRUe58MofF39av50x120hOMrkm/8NJGbKWBWbOpbz59BUtEUNl25ht/951/i+//3Yb74ie9SLpSJJqOs3trGzpt8xshASOd9H38zX/j4N/js734Fx/Xo3NjML/7ZPdz7zw8t0RV8+OvP8KW/+C6lfAW7auPYDp947z8iKzK1zUn+x7//Kh0bW3j2Ry/xlb++l7H+KRzTwbYd/vkPvsrn/lghURfjV//qnez6uW3z/dY0JVi3s4tDT52gqaueri1tFxSxUDUFVVsaOVMUeRmzqSzL84ZjUAjufM12NE3FsV0/yq0q89qTAK7rIWsKqq6iagoP9p6iYFl0JZJ4AkaLeVqiUbSKwkAuS1sszqn0DCP5PKuSKTbX1ROKBtECOsOFPIcmJ4gHAhQti5lyiZCmc1VLK83RmD8+ZBoC9XTnj3Ikd4Rao5bOUAcFp4gsyaT0FIZikNSSpK0MQ5VhHOFSp9diKAYJLU5ACTBSHcV0TWr0GgzZIKpFSOkX7/Eu2zafP/wCRduiMRzhr6+7i1vaViEvShNtaUzwoXuu4fCJUX7z3TdSl4oQ0P1ImmW5iJDgva+7kkQ0iK6ryJLEnddt4o5rNyIE/P1/PMboZI72piQjE1mu2trJDbvW8N2HDjA4nmFdZz2x2fvZMzbDkcEJbMfF0BQUWca0XRqSkWU/eUWSlzgRhBBEtQD1wZif2oJACMFktUDOrpzVWATQFZXbVq2Z72vP1DNIgCopdEZaGK1OUaMnsT2HmBah3qihtziEI1wWJ9abzgSWm6ElfDd1wetQ5CAE/UWudNrULYRNW/SdtEbfhCKHiOhrMN00Rbsf05khqPkONVnS0OQkmpxEllae/hUpREjroOyOocgBDKWOiLZQNnCm350sS7TUJ3jTbduwbJejveOsbqs967V6Fa8sYptaqfRNYs0UEHP15S4UDg0R296B0Zyg1Ot72z3boXRyHGs6P/8bsWeKfmr13JzYVoMc0KgMzmBnSvP9mRM5hO1iNCWQFBkxm8rVvCXB5fe0E60LUi3aHH1wjKMPjfmLVttbMQXOtb1lC1o9pHDlu1fRtiOF53icenKSl743yNv+dhdf+43nuOW3NqDoMg//3VHe/NeXc++f7Gft9Q1svK0JLaQw1p3j2S/3Us3b7HhTO+tuaMAxXUJJnem+s7OzCsddLrcg+bIQ+RP7mdn/JFYhu+gEXDzbJNq1ieTWqymN9DLx5H1IikJy2260SOLcN+58IAR2IUt5tI/4+u2kDz5NpGsD/d/4R0BgtLcT3rad0X/4e7yKTyiYuPU2ghs24uzdS+6xR8k9+cT8mNnzMMJaSGUTto2kKpSPH8PN5UCWzy2dIQSubaLqISRJwirnCDo2sqqDJGOdw1gEqOZnqGTGqdt4La5ZRlI0atdfjVMtkh89gR4+93vK82wUPcDGN/0O4AvUF8d7GHz2e+DNZXctckYIb+kKbol9tYi57hxwPXtePmYhO+xsWMg1mzuomFuXzmsPezhi7r7MtZOwqh6nns/Suz83awS+PEmQ3/jlCNu26nzsf2aZnrmAvmbTP8X8+EDMRjUvFp5pIgeDRDZvxS0WkY0ARnMrbrUyr0vqH8g/uPAcnFwGJAlzYhwtkQDX86XWPA8lFEVLprDTM2c8pg8JVQ8Rre3wZVkEKEZgyTvPzqVJP/kwRkMz6acfpTo6hHBs9Jo6lFCE/MF9lPtOkrrmZvSaOqypCYrHDlM60Q2SROramzHqm6iODpE/8DxKKAyeR+a5J+edPEZtPZIsMfmT7+Pkc/Pz6WIMDDr8+IEqH/jFMP/2hQTPPWczNeWhKNDcrLB9m0ZDg0z3UYd/+dzLL4e5KGNRkeakIaqcLDxBX3EvhhIhpbdRa3RRH1hLQ3AdUa1uvu2ZIM+mmeqKgqYoHE1PcXh6Al2RUWQZZ4U4edmxmayUKNrWipIYkiQRVnVualpLZzTFV3qe5zsDB5ZpIl4sIqrBB9ddy1u7dpLUQxfF+vfQ159h/WWdlySVcrRvknv/7x4UTeGDf/5WAHbevIlNV61G1c98iyVJQjNU1l3WyW/97Xsxqzb5YgWQqK2JYgRn2ShlifZ1TfzhFz40T2ijKAqBsMHabR3IijzPmHrDW3Zx5Z3bVpwoZFkiHAtiuy7y9hp+8Uu/QGsohiLJdKcnMBSV9miCsK4TDC834lRdpaYpyaqtbaQa4yue01NPniA9U2TN2kaefPI4a9c2kEiEOXFinN3XrOGBHx+iv2+KeCLEtdet45pr1jIwMM13v/U8zS0JTvVMEgoZ/Mqv3kogoKFpCpom4y5a1Jimw3e+9RwHDw6RTIbJpBcWG8OFPG/dtIXvHu0mFgiwoaaWzkSSH5w4xs2dq3hkoBfb87izo4tnhwfpSiy8+J4bHcFyXXJmFVf4dY9Vx8FZrC8lSViexdroGrbGNhNRI6iySsbK4gmPvO2nCuWdPJZn0RRopL80QNr2602KTomyW6beqGOsMsakPQkSmJ5Fzl5IEbpQ1AXD/PD170MgkCWJoKotq1VUZJmAoSHLEgFDJRRYSja1qq2WZCxIcPZ723F54Mmj9AxNI0lwuGeUq7Z3IgTUJiPUpiKEgzrRsIHrCWxnIZKwiLSXimn7qSGeoGqdew6YG7NyWi6ULqtnzRZYvO+cVIgQgpvrfRkSX89Q5ZraHQvt8SUp6gNJtNPmypDWTlhrpzf3r5TsAZqjdxPRuuajhIsRUJsI6e2octSvZVFq0eQYjlfEEYtrFfyUUYkz1yzO1TMutJHm9RtXguO4TGeKzOTKjE3lmMmWsR2XvuFpdm15ZdmKX8WZISkyckjHGaggTltIOvkKOB5qOIA8mw3hFk28qr10oex5iEXpZ0pQJ9CUoOOXb6Ht/QvkRZImoxga5YEpJF1FVPzF7cTxPA9+5igI6Lq6lq6ra31j8QKgaDIt25LUdUX4zh/tQwsovOYPtjJ+LIfnCIyISqwxgKarGBENz/GINYbYfEczP/n0ESp5m9f80VaaNsXJjVVYc00dT3z+JJnBEq/7n9uR1Ytw83oeTrmIYoQACbdUWLpdktDiKYTnUOzrxi5k0eM1KPqllV0Sjk3u+AFqLr+B6vQ4VnoSM+NHQZTILDNipYJXrSLpOlpNDdaUX0coHMcnvZnDabqWoY2bcCsVrLFRUCSMdZ240xm8ShXhev6i3XVBkRG2M6/raZfzfvq5ouLZJk7Vfz8qWgC7UkTVz17uYOZnmDr6NA1bbmDNz30QITwK4z0MP3cfwjl7hESSJNRAmK6b3s3wcz+gMHIShIdihGi/5s3UrttF+ujzyJJCUmtm2hxAV4Ik9SZOFZ6fl7OoCbRRdDMoqETUFBlzFMc7d3TmQu0jy6tgemVSegthNUnVLRDVUuhykKI9Q1w/u16t54pLppUYCEiEQ0tLNH5WcHJZSocPzqaRe+dfFylJCNfFlGWE41B46UWE45B96tFzkjMBTJ58xu9jdv0lhIcky3iuvRBZFwLPtv250bYQ9oKDxcllcAo5PLPqG7aSjKRphNdtJNjWCUCguY38oRd9I9d1/ayJ2b7mUOo7CbJMzXW34hTy5A/uw5paSgQ1Pu7xuc+XGBp2ed1rA9x8s0E47K9VsxmPnl6Hf/uiyQ/vqzI5+fIcCXCRxuLbO/+OabOPicoJJqrHmaiepGBPU7SnGS4fQpZUFEklotZQG1hFY2AdDcH1pIwOdDm4LAbXFI6yf3KUTLVCWNOYnjUEg6pG3qzy/MQwT4wM0BKJsrOumYZQhLpgGEd4PD7cx01tq5aNUZIkNElhVbSWj26+hde1beO+4cM8OHqUyerF6TyljBB3t27hHV2X0xyKE1S0+cWhIxyKTpGwEqboFAgoARRJxfIshBCElBDKIvmAp+97kX17DvPO37mb9vXNFzUeIQTH9/Xxzf/zY1546DC3vO3q+W2arqKdxVCcw1y0LBQNImsqvWMZHMejo6seIQTVqoUk+zWXZcslGNTJ5cskEwb5YpVoJMDUTIFaTUHTFIyAjhHQeXK0nx11zYRVbZkhLQmBqiv0VNI0R1LUhSJEpRKnsjM0hVPEostr2bJTeU4dGKC+LcWabR3I8sqLV0nyF6+5XInJiRw1qQihkEGxUKH7yAiapvB7v/9aensneeaZk7S31+C5HpWKRW1djNfctcNfbBsrXzvX9RgenmH/iwN87I9fjycEv/vRr85vL1ome/p7MTQ/9TGi62iyTMwIsHdkCFWScT2PZ4YH8YRgvFTgVCZNIhAgquukKxWaozEy1SoV2162nLc9G8dz6C50czB7CCE8tie2cUXycrrCnbyQ3sfzmX3E1BiXJ3eyKtyFjMwzM3v5Pyf/kYgSZltiKx2hdlRJ5WTxFP9w6p8IyAZRNXrO52Xla+7/opOBc9c8SpKEZbt4nlhWz6ap8pLPPUPTDI1nuG33elrq40zMFOZTNVVFRpEX0toXKol8iNmU0o76JOta6jBmF8SyJKFrrwgJ9MqQfNkc/89ZQ1LSltUkyys41WTJYHPNxxgr/Zix4o8ZLd1HIrCdrtj7iBubluyjyREUKbDoevhp/2dLmbpUkGWZeDSE43ocODbCFVvaMS2HUtl8RY/7Ks4O4Xp4poMSNPxUz0VQggaSKuNWLMSsk0V44pyphp7tYE7lyR8YpHh4aNn26ngOb9YhI8nQtCnOpjuakRWJWEMQx3QvOANT1iSSrWGm+4qYeQfX9EgPFqlbE2X8WI72y2twTL+GrW1HismTeZJtIWq6otzx+1twbUEgphGIaEgtEqW0STltUi3YZEbKvuzARaA0eIpAXTPxDTvx7CpupYyerPOJbSZH8WwLWTP8FNFigUjXBiKdGyiP9l/U8VaC8FxKAydouO4uEpt3kT364vzFrZw6SWjDBhp+8ZeQhIdAojrQT7n7yJII4ukIdHURv+lmlHCY3OOPYY2P+wtZzyOwdR1qKo6TzuFmF2oY7aFxnFljMTd8lMJ4z3zqcHGij/IjI75up/BwzDLjBx9Fkv16UkXSUBUD2634UTnhUcmMM/Ts95Bkf64WroPr+POJlZ+m74F/J6wmMdQoplPAqZQ4+v2/xXMswvWdqHqQdM+LC+nLlTxmMY0aiOAKm+7cY3SEt7M6ejkeHmOVE+SscUDgCRdNDrAtcRu6HGTKHCRrjePh0BbaTI3RTlyrx9Nd6oxOxionmLGGz3qfao0OmoPriM0GUGJaPdPmIKOV40xVB1AkjU3xm1AklZKTYah0hKpbJM7ZjcX/tpit8Z3/eIE/0blMgLk+Tn/eJVlh9Xt+m/En76PYu6DN7rkLBuXcFLXisYVAUhQ/2r74a9ddYlQC6DX16LUNlE4dpzo6RO1Ndy7YQEIgyfKyEja3XKJw9CClU8eJbtpGbNvlTD98/+lDYHzC42tfL/Pd71VQVQlZ8sfteeA4AtMUmObLzngHLtJYjKg1hNQ4LcHNuMLBFTZ5e5zJas+s8XiCrDXKtFkgbQ3TU3gGRVIx5DApo536wBo2xG4habQCcEVjC5tr6lFlBVWW2VnfjBACRZZRZ2/G7qZ2VFlGl5WFm3geiyBFkolpAbanmlkbr+N9a67iaG6cI5kxunPj9OSnyVkVKq61pDdFkkgZYToiKTbEGriiroPtyRaimkFI1X3dt0U3+Hj+GK5wqXpV6ow68uUcumyQd/LMmNOsiaylI9SJofiJZrbp8MJDh5Ekibd/9C46NlyYwWhbDs8/eIhv/f0DnHypH9tcHjEZm8xxqm+SaCRAvlChJhVBVRSe3ddLIhbkqstX4TguTz3XgycEXe01fjSranOid4KxiRySgFg0SLFURVMVNm9s5sSpCWbSRcJhg4ChkS9UueOWzfPHPZWd5qvHX+LQzASX1TWzLlHLjwdOMF0tsbuxnc01DSQDIaRcBk8I39AwgiiStKQ+1KpajPRMMjOW4YWHDnHqwACvef+NtG8887VKJMJMTRUYH89hGBrFYpVcrkwkGqRUMmluShCLB6mpDROJGIyNZqmtjRAM6axe3UA0dnaDx/MEExM5GhpjxBMhXNejpWUhOhgzAtzY3jkbWZLQFQVZkrixo9OvYZMkPOEB/g9blRU648nZ9gLHE6iyPG/sgJ/WOIfeYi9Igjsb76Qp0EB3/ihZO0fOybMuuhZlRMNxHDo3tWHIBqqs0hnuoCnYiCtcZGR0RUeVVVqCzby17R484eKYDtWiRX3g7GmDluvQn8uyLrW0nScEk6UijZGzG5ySBLu2tPOZf99DIhbiV95+HTWJlfVDG2tjWI7LNx94kVQ8gmW7hIPnJ32zurGG9roEqiyjqsoSo/unSbhypuT086lJ9iOEdbRF30pT+E7S1X0MFr7Byew/sC75YRLGlkWtZc5US/hKQ5IgYKg01sW4+6bNhIM6risInee9ehWvHIrHRont6ECNhrCmC/MroMimFoQrMCdyeCu8O86E6mgGt1jFyVfIvTQwbxjOQXgCZlOmwjUBGtfHKYxXOHjfCBtuaaTzytrlnp1zwHME+fEK7Tv9EgtJkajpjHLyyUlK0ybbXttK73PTKKrEljuaOHj/CNmRCqXpKg//3VHKWQtZkTFLNrGGIJG6AKqhgATRWoNJ7eJ+N5XxQTIHnyG+6QraXvd+X0OwkCV75DmqkyOUhnowknU03vBaPNelNNxD/uRB1JA/3xm1TdRecRPBpnbUUBRJllnzvt+jOj3G1LMP4VpV6q+6nVBLJ2o4iqwZrHnf72MXskw8dT/VCd9Aca0q+Z7DxNduY2zPdxbuhWWR/tH9i9L2JIRt41WrZz0vc2iIqW9+AwkJr1pBOA5KPILaUIOkyNijk7jZAkoqjlepIgcM5EgIpv3sFeE6uO7ihb6Lay3W1RZ4zoIjydCiRAP1ZMsjmE5hbidca+VxCuHhVAso4VqSkXbGs0cAMRvBlHAqeRQ9RKShi8LYKWRFJ9q8hljzOgaf/g6e55J1xyk6aWTk2ZIkC1c4qJKOLCm4G4rkEmkqk2WqhRK1rXWYuQimlSVX4zJTPIlVsjBSBma2iGHq5Jr6cSsW9TRhJAI4pRwzPf1UC0VMt0zOnpjn7hAIvNm1s0AwXO5mrHLCv+azaacCj4lqH9Om75SRFJWybnE49wiOt2D8RCMSd90RZOsmjc4OlVhU5lP/J8+vfTBKPCbxOx/LcvS4zfYtGr/+y1E2b9RQVYkTp2z+5u/yHO62V8wu3r5F4xN/kuDr3yrzgx+VKRQFd98R4D1vj9DVqTI65vBv/1HikSeqFIuvPNHhJYUkoYYiyOrZMx/PhspQH6lrb8GrVkk/9TCw8rTmFPyMrfjOqwiv2YASieIO9s5vt6YniW65jKa3vJfCkZcoHjtEeO1G4tt3+bwwlkXp5NEVxyCEr/lYra5cUncpcVHGoiRJKGgoi5hEQ2qcusAq1ns34Qob0yuStUaZMQeYsQZImwNkrVEKpSmGywepNVbNG4uGoqLLCtPDabSARrw2On+cOQRfxk2VJAlVUojKChHVoDEY49r6VViei+25eELgCJ/UwnE9dEUhqOpokoImy2iyQkDR0GcjgystNmNajGOFYwSVAFkrS9WtMmqPkdQThNQwjnDnyYDmYFVtnvzBPhCCt330Ljo3nln4ejGKuTKPfONZ7v3cHkb7pnAdl3htlPq2pRqM5YpF78A0gYCGaTr0D6dJJcLcdM06TNPh0aeOsWNLO/lihXe8YReu53Hk2Cg9g1NMpgvcdv1Gnt57iuHRDNs3t3Kwe4SmxgSDQzPU18dIJcLkC1W/bm9RmkB7NEljKMod7WtpCkfZM9yL6Tp0xVL8ZPAU9aEIyiIGRUmSZmvbll7XcqHK/f/2KM8/eIhYKsJt77qWa+7eedaIaTIVxrZdpqcLrN/QzMx0gaGhNNt3tDM+lmVqyn8ZVco2uVyZVI0fxZQl6bwIc2RZIhEPMTHu1wkITzA5ueBhva1rNTEjsCw1OTBLsjJ3vov/nktZBJZ8vxJqjTqOFo6zZ2IPmqwhBGxLbIFpiQNHuxntmSBWE8We9qN3qcYE+ZkClUKV2pYU1bKJYztEEmHG+ydRVJXalhTZiSwDR4e58a27CTfEOJGeZqSYpyUSwxUeDeEI46UidaEwx9PTdMWTHM9MM1ossCFVS940+f6po7xz4zZWJc5cNytJEu9/41VMT+RACAKKTH6myF2XrcatWEz0TmBXHRo6asH1eM8dO6mUTEKxEKquEgkZKLLEO++6fD5C+HPXbETgGyxz0FQFTT1/AqRLgbxl8puP/JA7OtZwU+sqIvrLN5YkSUaVQihSkIbQLXjY9Oe+jOW+8hIFEgoyCh5n14Gae1aFgNGJHA/vPYEsSVyxpf3VmsWfMSZ++CLRjS20f/BmZh7txp4pEtnSSuratcw8dozqaOaC+iscHiayoYXkNetQQjqFQ0MIx0NviKFGgxSPjlA45C9uzYJNtWiz7sZWUh0RNEOhMFHl/2fvv6Msye/rTvATPuJ5k/nSm/K+u6qrfTfaAd0NRwAESBAErURKPCSlXWl3j1Y7OyvNEWd1dma4I7MjjCiNRFESnUDCEbYb3UB73+W9Se+fd+Ej9o/IyqqsfJmVZRqAKFwcnMp+Jt4v3C9+92vuFUSBnp1J7v/iVrpGE3iOTyKvcewbU2hxhYd/fRuF7SmCICCeV3n3v0wwe7LK0KEcP/f7hwmDkNnTVWZOVDFSCp/9/xzmpT84jyiJPP5bu/j+vzhDs2hz4jszPPqbOxCl6Fnz/X9xhsp0i5kTVZ783V2YdRfFkPHdzmkLt1Fl+jt/HGXVOqQXwiAigObizMqiMwwCAieyUXKqRRbffJ7Sey8TCkQla2GAIEoQhjjlReZf/ivEa0TArpSm+VabMAxZeO07iPJ17wcBvrVaBj/0PJoT5/HNFiIiWXqoU0Y2RWxayERzUZIMdXwkZGIkaVDBw0VGwSMiLqHnETZXV1/5jRbtd04AwsoYBEmEIFwp/VsPgiCSjQ2RjQ/RtiuUW5ECaVdyG25g4XomMTVHwijgem3KzQkEQaA7uR3Ha1NsXkYSFXpSu3B9m8XGeVyvjeO3iMvX+06HWPUSM+99h75DzzD08GcJfQ+3XWf2yHPUZ85HJbiAG6xPmrVujcvvXyC/r0DPgT7smoWa1ghsj/p0mcZkDTWloQ13EzZ84v0J6osV9KxBblsXxZOLiJKI1p8iSHaDKOE3G1F/GgKh76LFkwSui1uvIKk6YiyGWy0j6QZqLI7fbkWBhTBErFWR4nG03kEaJ94nrF8duyhCT7fEE4/q/I+/X+NXvxDn9/77NP/Lv6jz7Edi/NLnY/z3v1ejbYa8/a7DH/z7Jq4Lv/UbCf7xP0zza79Votm60i8ZbXPXDpl/+j9k+OErdkQGWyFPPKrxxc/Hee5Fk2MnXO45pPK3fj2B64W88EOLTVR5/rWA2pdFG8hjLZzHXrqMOpBD6Y8jKjI+c0jdCrragx8u4tttxLiA587gTc9iXp7Hr7cJrsl0ti6ew5wcB0FY8UttX76ANTMZZS9liaB9e7YXdwJ3rB5LFGREQUYRjSjb6DqIghi9JujoUhJVjNH2KjhhmyD0uHhkjNnLC6RyCQrD3cyPL5LrzSBJIpeOjRP40WK3slDDcz227B+m6yYEXK7HlQW8Jslo12Rrov6mSKvqSl+x0EG5dSP06f3k1DziclMsQqRcKQtRJlQSJORrBCXueWov42dmWJou89o3j4Ag8Pn/88cY3bsxYVycKvGt//AS3/+T16ks1giCkP6tBT75G0/ykV9Ybf4tLssbe54f+UW6Prbtks3EqNZMmi0HSRRJJQySCR3TcvCDkFK5iev5pJI6Tzy6C88LMHSFwcEcMV3lZz95D7IsIkoir7x+AVEUaLVtMunIekOVJBRRIqGokR2BZaJJMklV5cnBrWQ1g5J144s/mY3zxX/wM3z2d59BUiQS6Rh6XNvwvOSy0eTaqJsc+Nggb75+kampErt395NKGXz/uZP8v3/va2i6woEDgwwP55meipqer91sEIQsLdb5sz97k7FLC4QI1KptPvWZexge6WJ4tIt/8j98hXxXknz+atlsXyK5bg/r9f6FnXCjay6jZvhIz1O4gbdiuaJLGpfOTaIaKkO7+rl8fJJsTwYtJvPec8cQFYlYwsB1PPS4imN7yKpM4AUM7igwP75I39YCzVqbbE+aBavNW3NT5IwYU40aO7J5/t3x9/i/3PcIXhBgLveNOL7PUrvFXV09DKXSFGJxBpOde0mvRTKuc+zYMabPz3H34/s4+eoZBnb1YyR0ysulixePjjE/tkTXQJbhPQN0d6WIp2MrxycpR/fVWLVCzbIYSqWJi6vJmR8EtJb7mhPqWoPe9dB0HKq2ual9uRZhCGWzzT9580X+ufo6jw6M8szIdu7vHVwOjtxcRrNqH6dqn8SQetHkHvywTbH9JpIQQxZvzXYkDAOC0MYLWgShgx+28YI2kqCtssMAkMUkshinZL5JWtuPLMQRBZmkuqPjttumwzunJvn8s4dwXJ/vvHKKw3uHVokH/RQ/WpiTJcb+t+9R+NhBej97P6Im41ZaLHzrKOWXzlwVqdkk/JbFwl+9h1Osk31oB9mHdiKIAm61Tf3EJF7jagbJtXzO/3CeiXdLKNk4ai5O7fQcgReydLnJi//yDLIho/dnkbMJ2lUXx4K3vrGIPX8BCPHsALPuEgYhb/zRJRQ9ukZd08N3Alplm3/zCy9RmzNBgH/3K6/SWLQIAzj1vTnGTpkELQtRU2jVA0JB4sjXZzj9SgXftBF1Fats4okqyCFc0/dMGOC3byB+4/v4ZquDpnD0/cA2CWyz07tRxq3d7PzdK8fb3OB9UUKUZYzeYVI79jP97T8GoJt+FDQaVEiQJk6KkIAKxZXy9DgpVDQUCsio6BjMMUGbdfY3CAmt1UGjcJPkQBRkVDmO61uU25MIgoiupqlb89TasxhqBkUyaJklBKAvu5+WXWShfh5JVBjM3YPpVFion0cQBHrTe5kqvbuun2bou5TOv0114uQKMb+S3Qy8zRmgKzGFrrt6ECQBs9RGkETai01kQ8YzPTzLQ02q+LaHUYgjigLJwRSCJOJZHr7lIRgKWk8P7UoRa34SrdBLGERiScbACE5xEa/dIDayFadSoj1+ETXXjdE/jG+ZKMk0XrOBU1xALfTgLMwhxRJ4zbUWJr4fMr/o89Y7Dju3KXzqEwYvv2bT1SXx0Q8bhCGMjXvMzrcwzUh85stfbfN//G85rs3DuC6MDsv8d/+3NK++afMnX26xsOgThvC5z8Q4edrl+z+0mJ3zOX/R5fFHNA4fVDl2wmVu/tbsptK778HoHcJtVEmO7kHSDNqz41ROvolVjPqblVSO7L77SYzsJARa0xepHH8Ttx4FTSUjTnbf/SS370cQJcz5SUpHXsZZ7t8VNZ3C/U8TH91J4NhUT79L4N2ahokgScjpOO5SHWNXFxCg9WYQYxrNI5dRCmmEdAxBFQkDD320gJRQCT0fQQ7wW6vvsdBz8a/rxQ1dB991kHu6id1zF0GzRfOVN29pvHcKt00WTb9O1Z6h4kxRdqJ/a84cTtDGD1380F1Ot3sEoYciGWSUfmJylpmZMoWhPK2aiW3aCIKA5/pMnplB0RS2HBjm3DuXmDgzjR5TSWTjt0UW14MAIAhrBC1uBrIoX+1JvDKHXcmcddjo07/4CKEf8vV/8wILkyVe/+YRBEHg5/7us2zZN9jxNy4em+Brf/ACb37nKM1aGwHYfe9WPvs7T3P4w/uJJVc3z+uaQiYVw3U9EnEZz/PpLaT48jfeI5HQ2buzD0FgVVZQVST27x4gkzL49gsn+eRHDqy8pyiRYIlyjarow/dvIwjXlpxtTef4i4snua9nkHsK/Xx7/Dxl22RnpouFdpM35ic5tjSHKkmYXg/vLk7z/uIsfhiQUjVyegxJlsgWbm7Brmoyz3z0LlzXJ502+PgnD+K6HrGYyuhoF1/44kM4jocoisRiKooiMTCY45d/7VGSyav7JQiQyyf4pV9+GHdZ1EfTZFIpA1EU+eVffgTb9pDkqGQ0tfxdaZ1eyjsFSRBJyGuJgqxKLFxYwmxaiJJIdbEKQKorie8F6AmNXG8au+3gmG0WJorEkwaqLhP4AZIk0qw0qRUbqGmVrG4gCpCPxZis1zhY6OXIwhw53eBCpcTlWgXCEENWOFNa4uGBYZqOw0KryVDqxudM1VViKYPLJyZpVFqk80nKcxV6RgssTiwRhiEDO3oRgO6hLmJJYw3ZulgucWxhjkIssVKufi28IKBm21Hg4ibI4myjzrtzM3xx/92b/g5AQlX5nx/7ELOtOi9Nj/P23DTfHT9PXzzJk0NbeHpkB7uyXR1FuTpBFDTq9lmmna/hhS0kQSMmD7Il/ask1Z03NTaAun2WifqfUbbewQ2beEGLpnOJ8dqfkNH2M5r+ZTLa1fs9rgwzkPg0E/U/5lTx95AEnbzxILtzf7/j9gVBQJEkKrU2fhhg2i4LpTqGppJNr/Vw/Sl+BPADWufmmJqrIupKJNbg+fhNC990uOIyvfSdo5R+eDoSvrkG5VfPUTsyjt+00DM9BJ6LUy5TfOEU1bcuIipylGzyAnzLwW+t7lN12j5O28fQY+i9XRiBjLhUR1QV1Fyc9kQJc7xOKp4ABKRMDD+WoFFaIjacJ7YzgzhXQ1RlGufm0Lb14VZaJPd1I02WaF1aojJ9NfBYnbn6t7JnK2a5jjoygh+G6Hkfv2EiZeJY5TpiVwZfFNBGkiS6MzReP4Uzs7RyTDaCJKrLgZc7I5p3sxBEifjITno/9El8x6J85FWsxcgCRUJGQUVGIU6SCkXS5LBoEyOOSYs4STxcRCRCAlo08FjL/gRNBVEgtN0bK6GuAz9wqbQmSccGyMe3YHtNREHCcut4gb1Sjmk5NWRJR5UMLFHF9ppochxNjuP6Jo7XRBJV1E34AQees2lieC280OX98rforfdRPrWIVYnsl0RRwHcDBAECLyBwA1oLLayqtSyEEkYiLFcSBbaHIAqoZRk5U8BQNQhDJCO2eny+T+gHSEaM2Oh2AscmsC1C38VzLJRMDkESo9eC6HNSPLHG89IPoFaPetRq9YBKNcSyQtrtkFgset6kUiK//ktx7rtHI5EQMAyBTFpElq7WhWuqwP/4jzLMLfh8+Stt5uZ9ggBkCbZvVfjY0wY//7OxFU+/vh6JViskHrv11g5J00ltP0B7+jKlI68gyAqp7QfI7n+QhVe/hagbpHcdQklnWXjjuwiiTGrbXgoPPcPsi19FlCTSOw8S6x9l6c3IwiK5bS99T3yGqW/9Z8LAJ7v/QeLD21l8/XsEjkV2/wPIxi36PIsQ2C5qX47Q8RBVGadYR8knCSwHECJFaNdDyaeidYsX4NXa+M31s9liKonSnSd0XNzFIqFt45XKuPOLyLmo1UnQNURNI3AcpEQcv9ZAjBkEloXS24MgSziz8+C4SOkkXrUOQYAYj0WZy1YbOZ9D7s7jlct48ze2E7mCWyKLR8tfp2iPUXFmaHsVvNDGCxz80MULnWVFqRBVjJFR+8mro+S0Ebq0EZJKN6oYIyZnmZPOoMd12nWT2lKd2YvzGEmdbE+G8nwFq2UTBAGqoRBLxch0p25luD8yCFfZ4Q2RSMd45pceRZIlvvYH32dubInXvvk+CPBzf+cZtuy7arjtewHv/+AUX/+DFzj55gWslo2iytz7kf387G8/zc57Rpf9DqHqtLnQmMf0XLbGunnqkV0EYbjiGynLEju39iCJIoahIIoi3fmo7FdTFe7aO7gyOdqOd8NsSDzeeRH+sZGdNF2HlKahijK/uucQwTK50ESJ3OguPjy4jVapTU7QeWZoB48NbCEmKySU1dssLtZRNZnUNQvOqYkioigyMLQ6eCAIAqlr+g6v/VtRZLLZtZe8qsrkcqsnjogUS3R1de7By2TX9tldXigzWshumgzcSYzuG6J/Ww+BHy4HAJbJkxCVygqigKLK+H6A7/pRcEQWUTSFTHcaWZN57OceIp42QBJ5dssOgjBEk2T8MFhpM5JFkd+8617Smk4YhmzJ5JBFEUWS+KW9d5PRN6f2d+BDe9jzwA6CIMT3feJJA3fPIIqu0L+tZ5X4jR7XEK/LTi00m7wyMc5YtcJdPb1ULYvTxSXOFpfIGgYHe3opmW0uVyrc1dND3jA4ubTI+3Oz9CWTDCZTzDTqLDSb6IrCvX39mJ7Lm9NT+Mv90jcLSRDojyfpiSXYns7z8zv2M1mv8OrsJK/PTvKVC6fZms7x1PBWnh7ZTrcR3/BaiSuj7Mj+Dn5oEoY+AiKSaKCIGSTh6nEeTn2ewfBTKGJm5TVRUNme+duEBKhSdnl7I2zL/G1Gw1/qMHYDVcpf91qMLuNhUupugtAGRGSxc38pRFY06aTOiYtRNDidNHjn5CQDhTT3pn+qivpBQ+3vx5mfX7OoV/oHUAsF2mfOrFvO5DUsaKxdyPgte4UAxtIptGQOu17CNevIQhwhlAk8F0WLE4gOgeYiaXFC38V3LHzXwndMjGwfTrmFvdQgfXA4Cgw3LYzBLM1Ly0bZfkBgukiGgmSoZA+P4FTbJLYXcOsmsdEu1LRBcmcvTqVFYkcPrUvrL3ZEVUbOpRANFUFVCE0HpTdH0LQwFyeRUjGMXcMIgLtQxm+ZNySKgiDSnz2AoWYpN8ept+fwgh+9kFMY+LRnxpj65n8kDHy8dnNFdn+RGUQkXBxmGMfHw6SJh8scE/h4zGGu0XzwWUt8jZ0DJA7vovbyMezL66vYCoqMaGgEjrsmAylLGgm9m6RewA8cmvYSoiDSm95DQu8mCLyopWN5PLbbxHLqjOTvw/MtlpqXCHyX4fx9eL5NzZwjruUppLajyDEa1gJ1c6092q0hxPTrLBwJsComgbN+tiz0Arwb2FVYs/MIxXKkdnmlBPnK9/1IzMetVVe9Zs8v+54mI6LRunx+WTXTp37yCIHVIVMdgudfLSX1vKt/CwIoCvxPv5dB10T+xZfqFMsB+/ao/Ot/nl21mX17FN553+aeu1WGBmUmpz0cJyp1VRX40y+3+N4LFs3m1f2uVAPmF28tq3gFXqtOc/ICzYnzIIAcS5AY3YWcTKMkMuiFAWpn36c9fQmWq/667/8wRmEA32qTGN1N7dwRWlMXoypBx2LwY79ErH8Uc2GK1I67qF04TnP8LBCVeqd3HbqlsTpzFbxyc8X3/QoxRJIILQev3ma5nHBVICESHFsnHS8KSKkkUjqF3JVHGeij9ea74PkrKsMAclcebXSYoNlEGR6k9db7aFtHsM6eR+7KISgKxt7d1J//AergAHJXHmd6lvh9hzBPnkWQZVIf/hDtoyeRs7kPniwer3yTureIFzgrps6KqJNR+slpI+S1YfLqCEmlB1WKoQgasqghCxqSIK/IsO9/ZDeyKlEYjvpaRvcPI4oCsirj2i6iJCJJEq7jIUki+jrE5L9WJDIxPvwLDyHJIl/937/PzKUFXv/mEQA+97vPsHX/EFbL5qWvvs03//1LTJyZwbFc4ukYT3z2Pj75G08ysL0HVbtaR1Bz28y0q4gIzMk1+nOZqDR2GWEIhr5sibG8UNWWewBFUViVITT0W++5Smk6yeVsjiAIdBvxVf14mixTq7a5eLGEsSOyqJgZL6IbKqoqUa200TSZQm+Ghbkq+e4knuczM1lG0xWKSw2q5RZLCzWGRrvIr0PqfpT4xlun+N1PPIwo/Wh75QA0Q0W95ryu1x/ZqSdSUaN+SiWfWHk9dc25ux5X+ofDMESX5ZXtdsfimy61vOJvuap3c/nau7IfV9Bpm1nDYEs2S84wONDTS0rXeGt2ikI8zkODQ8QUFVWSmG82qds2Y7UKZ4tLxBWVhWaT00uLDKfS7OnuxnQ9vn3xPFuyWQ719tNwbM6Vimt+czOI+qMFsrpBRtPpiycQBYGaYzFer/L+4iyXaiX+85mjfGzLTn5t7yHSqr5mH4PQRgg9NClNGGggKBC6BGEL35tAkPuRhCh4pklrqy0EQUSXVyvpSaJBTLxxVH71vsSQxc1lBYMgoFRpMbtUww9C0gmdTz15APVH3Dv63yrSjz5K6RvfWCNg4i4s4JXLNxQ2uREEQcRulIAQLZkn8D3UeBpJ0bFqi/i+Szw/iFUv4jtRJtJpV5H1BJKioeQ0IMS33GW1wxC3bmIMZDEGcugDWZSkTmwoF/k41k0EQaA9WcKtmvT/7D1M/fnbZHUFQRKxpjfu220dvXSlpwRBFKM+O1ki9HyCtkXQMPEry4u+IFzOCqwPSVRI6N0ktG68wMbxWviBiyIZKJKOLGq4gYXpVBFFBUPNICLStsv4oYsoyBhqBkmUadll/ODmM1/XInAs7PLacxplCKNFqcuygujyOu1K//GN+pCvwLo4S+zu7QjX3MNiwkDtyeI3LdxSDUEUMHYNow514VeamBdm8Iq1lc/7ywSvZZciMTXfpiWUaFiLBKG/rIAaicw4XpvJ8nv4gUvDmo/EbIIo+dC0FwnDMFp3hiGTpfcRBAHX71zmezswl1qRWNNtIvQ9QvMasZ9On7muHPJKea8b+PiWteKRCRC0NygbD9f5DwEMXeCZpwz+/j+s8O5RB9eNiOH1uDzu8i++1OBTnzD4u7+VYHHJ58w5F9eDhaWAIITL496qktM7obTptZs4tSLhshqpb5sIiIiqhmzESY7swigMEDz0LACisrxWSGVxwoD44Db0fA9d9z4Z7bIkI+kx1HQeuziHms5hLc6sqONaS7Mb9tluhND1o4D7GkRjv2IbdFNYvtbERBylt7BGHfUKBElCyqSibL/jovYVIqXXMETUNOSeLuRMhsBxcUslYvfcjbu4hFLoolGpIho6gqqiDvbRPnrqpoZ4S2TRDS1SSg95dZicNkxOGyGt9KKKMRRRQxZ1FEFDEpQN/bliy1mfK9ZDsWvKAMPlxeR6C9y/LkhkYjzxcw8gyRJf+dLzTJ2f441vHYEQnvz5Bzj//jjf/7PXWZgs4Xs+hcEcz/7Kh/jIFx6iqz+7yiAeICHrxGSVebPKgJBdq7oY1dz+SPZtjWXGdf8dT2johkbgB5w+O0e7ZSNKkU3HwnyNeEIj350kCEI818f3AmrVNomUDoQUelNIskRxsfFjIYthGFJv23zljRNkEwblpkm9ZfHC8YvU2hZPHtjG5FKVQ1v7SccNXjh2gQd3jZA0Ppigx3o9kbfSK7mZe20z2/2gtqFKEjFFJQxDkqqKLIpokkzOiJFbLvXRZRlFkvDDkJbjYHkevYkEg2qKnBnNNQPJFAutJiWzTX8ySV8iiWLeHrkJw5Cy1eYHU2M8P3mRC5USPfEEX9x9Fw/3DaNIEm/OTfGNS2cwXZffOfjgCjm/grb1Mn7QAEFEQCYMm4CCJOYRBQUp7L6tMX4QiOkqH3tsL47r0zYdXnnvEplk7CfCt+uvM+RcjsThwxi7dpH75CcJPY/Kc88RtNsYu3cT27sXr1Kh8fbbBK0W8bvvRs7lULq6cItF5GwW6/JlzHPnULq6MPbsQU6n8SoVWseP4y4uZ/4CD9+1EWUFNZEl8FxESUZUNLRkF75jIogiejKPq+q47RoCAkauj/LZYwiXAkJ/2Z5j+ZoIbA9BEjGnK3gNC7fcxC428Jo21nwdQRTwzcjTbPov3sUpNSm9dhFBimw/NkLQ3pgch4GPX9+8cESU2VcjHQDfxvMjxcru1A4SWjdNe5GGuYAkquQSI+hqmjAISOgFlhoXSBt9yyIuFimjn9nKsRUD959UBKYdZU2WIWUSJO7bRej5yOk45oUZ7MlFpEwCORUnaFprFrohIZ5v4fnWtS92JMshAc4yebr+ff86n0P7Bp6Lt4M7QRRvewyOg38nVGPCqBfRcUKGByNl8J3bZX79lxIoynWigmbU+/gH/77J7/2/Mvyd30rwT3+/ztS0z9e/1eZXfzHOxcd1nv+BRRCE7N6pMDbhMTPr32qVcjREzyO4dl+XM82CIIIk4tTLlN77IXb1ahA39D28Zg01V8C32yy9/QJW6WqGOQwDvEYVQZQQROk6Kw5/JRP/kwC50I3a34u3WAQ/QFAVOnkMXbEAEVUVr1hCHR7EvjSOtnWUwLIwT5wlft9BCAKCZgsB0HftwJmeBc8jaLWpffv7yN15Uk8/TvlPv7J2MOuN8VZ27GcG/3HUtCzoETEUDWRBvaNk7k4sRK/ADXyqjknJatHybRw/UkH170RI5Do80D1CTL65jFwiHeNDn74XQRT46peeZ+LsLG98+whn3rlEu2FRKzUIg5BtB4b4md98kgc/dpBUPrmq1/AKZEFiR7KHXaleJEH8iSbYsiwhK5HHjBFTabdtMtkYpaUmfQMZLNOluNRgfrZCq2kyMJxHViTqNROr7TI0GpWOet6P56YPgpCXT4+xo7+Loa40b1+YIqar7B/p5fTUIu9emGa0J8e7F6cZKeSotaxV1iA/xZ2FKApIy9d7w7Y5tjDPmzNT9MTj3N8/SEbXOVNcYksmiyJKUVm2KCIgkDdixGSVvzx7Cl1WUMSbJ4xuEPD67AQvTF7m7flpbN9jf1cP/6dDD7EnVyBvxMhqURZxJJUhLqv8xzNH+Bv7Dq8hi56/QBCaCIIKoYcgaEhiClnK4fnzhOFPpodhEIZRcCfwKVaa+EGA/FOBmw8Ufr1O68gREocO0XjnHYJ2eyWLaE9OIqfTyNlspKwHSIlE1A9TqSCqKu7CAnI6jVIoYOzYgbu4SOvYMeJ33YU2NITfaBCYJq3S9LIqqIhVL64sZIxsH4Io0i7NoKcLSKpOa2kSQRDQ0z04zSpec2OhGL99lRj4ZrRoDKzryMF8lK3yOpTL/ijgBQ6mXcV06rTsIrYX7ZMoKphujWL9El7gEtMypGMDaEoSAQHHa+F4TdLxQWJqliD0CUMfvZmi7dycGu2PG9poL4HlYF+aRR0uREIfqoxfbeAqEvbEAn6l8eMe5l8f3KH1guOG/E//rM4vfC7GR582WFzy+fLX2hw+pNIp31ksBfyzf1Xnn/6jDL/yhTj/9j80+c7zJom4yDMfNvjlL8TxvJD5hYAv/dsGM7O3twaLSpA77GsYEtg2vtXCt03MuYk1H5GTGfx2k8BzOr8fS+JbbZRUZuU1SY/dlm3GHUfgI6VTqIP9CIqCu1SMMoADvRgH9iClUrhzC3hLRYJaA0HXCEwLKZvBXVhC27YFfdsIXq2xEqwJWib2xBSJh++n/GdfiexC8llih+5iuVfppoZ4S2SxW98GdBZu+UmAF/jMtGu8sTjGyeosE80yLc9ZJohBtKD5gBbtf/joL980WYQow/jopw4jSSJf+dLzjJ2apr38UBQlkXue2svP/OaT7H94J/HUWrEPAMt3OVef40xtlowaI6vG6DfuXA9dGIb4YcCFxiLHStOMt0rMm3Waro0deCiiSEzW6NGTDMdz7M30sS/ThyF1DiRUKy2WFurk8kn2HhjCc30UVcJ1fSRJxPcDFEVieKQLURLRdZnuQgp/OTqtGcqmrGVCQpquzaXGEufrC0w0yyxZDWqOiR14hGGIJkW9kgU9yWAsy650D7tTvSTV9XvwQkIWqw32DhXoz6URBIF3L05RaVrkEgYX50rs6Mvz568eZ7pY44FdIxjqzU9QdcfkcrPI+doCk60Ki1adumth+ZHUuSLIpBSdLj3BcCLHrlQP21MFsurNiYqYtsvZiUXePz8V9UAEAZIoUsgm+NSj+2+8gRvADwMuN4ocr0wz1igya9ZouBa27yGLIoak0q0nGIrn2JPuZV+mn5SytkTzCvZ2deOHIXFFQRQEHhkcXiF5hqJwd08vo5nIwzKt6YykM9zT148uycjLGeyEqpFQNfqSSTRJZk93N4ooodwCwWk6Nv/o9RcoxOI8NbyVR/pG6E0k6NLjGMvluleQ0Qz2dRVoe27HuShhPENIsKxe6AMygqAgoKFIgwgb9A5ei5CQst3mYn2RC/VFptpllqwmDdfCCXwEQJMUUopOj56KfGXTvWxNdBFXbi4D7rg+5y4vUqm3EUWBhw5uQeoQ0Pop7ixCz8MtlaJ/i0WC1tVStaDdxms0kNKrRaf8ZpPAthF1Ha9cRuntRc7nUfv6UPv70UdHkdJpAsta8ekL3KsBimt98trl2agH0WpiBgGCJOFZTURZw2oUV33vv26EkVBf4OEHLuFyVjAMfbzAw/GjLKWAiO02qbVnadklwtCPTOe9NktWkYa1QBiG2O5/faRKkERCP8A3HULXR9BEwiAkdDwCxyWwHcIfU/D2v1U0WyFf+2ab539gYdkh33ne5M13bFwPXnzJ4uRpF9+HL3+1xdvv2WQH41QXLC5fsDl73qVai54/f/LlNt/4tkm1GqUIL17y+H/+kyqOC7VagOPCV77R5vW3bOJxgTCEdjtkasa7razijeBUiziVJdK7DuHUK7iNKko8iWQkMOcm8FoNWtOXyew5jF1ewqkVkfQYWqaL1vRlAs+lNXWBzJ7DtGfH8V2b/MFHCX+CHk1etUbr3aOImhrdT7ZN6Lq484s0fvgagijiN5qElk3r6IlIqMxx8JaKeJUqwemzOFPThFeys1csdmp1vHIFv1qHMMSvNTCPnYyWzTd5n96az+IdJolNt8Rk631y2hC9xu7b2tZcu8Y3pk7w4tw5FswGddei7blrmrk/KLi3UVaSSMd46BOHkGSJr/7r57l4dIIwhOFd/Tz1+Qc5+PieFSGbTlBEiT4jgyxK9OopNElZ90xdrC/x/z31PK1rHvqyKLIr1cv//cCzqz4bhiF24PHi3Fmenz3DeLNEzTVpew6W70UekmGIiIAkimiiTExWSSk6fUaaR3q28ezAPrq1xKr+SYA9+wbIdyeJXdOPulE2VL+JkmQ38BlvFvnB3HneL08yZ9ZoujZtz8EOvBWPTQgRBRFZiEoZDUkhoeh06wkO5Yb5SN9u9mT61mxfFATu2tLPt989w0h3DlWSaLRtzs8W6UrFCAkxNIXebJILs0W60/FNkxA/CDhbn+eVhQu8X5piwarTXL6W7cDDW8mMR+JFsiChSjKx5bH3GikO5oZ4vHcnu1M9yJvIlKmyxJb+HCEhZ8YXuGfXILbtcW5qcaVRHqBkt/hHR75Bw70a4RcEgQEjzT89/LNrtusFPi8tXOD52dNcaixRsdu0PAfLd/HCgCAMEBCQBDHaB1khKUf7cH/3Fp7t38tgPIt03bWT1FbfC1fKTyG6lq8tSV3eQ7K6sTLelVcliYQalbRmdR2EW5vhDFnhdw8+yK5sF4VYnJwe2zBQM5zM8A/u/RBpbe09LUvX9hteJ6/MjUWEbN/jVHWWl+bPc6I6y5LVoOlamL6L7Xsrxx2ibKwsSiv3bVLR6Y+lub9rlMd7drIluTmvREGARFxj55YCQRBSqbd/oisb/rpBkKR1e12uR+j7kSBDEKy0eYSWRdBuY8/MYE9OLqvntfBv4PHl2+2VS9N3zKslpr5D0HY7ehTecQjQu8Vg9ECSrmGDfJ+GkZJRDQlRBNcOsVoe1QWH4rTFzLkWM+ebmE1/UwHHjbE6K2I6VWJajkxsgJiWo2UtUm3NoCspMrEhdCWN6VSwnOqmtq7FJPq2x+jfESM/oJPuVolnFBRdRFYEAg9c28es+1SXHMpzFrMX2syca2E2bl2tVUwYGHtG0Lf1I8gSgWljTy6SOLyT9JMHEXWV9qkx/EYbT1XQdw+TGuii+dZZ7PHNC87oCYmeLQb92+PkB6P9S1y7fwE4lo9Z96guOpRnbWYvtJi90MJs/NdHTONZmcFdcQZ2xskP6KS6VPS4hKyKhAHYpk+r6lKetVkYN5k+02RpyiLwO1+ovg/ziwEs+3gvFQOWitHfpXJAqRz9Xa2FVE+47BjOM7+wQKNp8d6Rqxn92bnVxzII4NyF6Prp2p2jPt2gUnWpVH8E9/M1cGolqmfeJ73nHnof+9SKOmx7bgJzfgKv3aB6+h2y+x+g59GPI0gygWtjF+cjsug6lI+9QeGhZxl49gvLGcpJ7NLCTY9FlAS6h3UGdsbpHjLI9KokcwpaLDp/hOC5AVbTp1F2qczbzI+1mTnfprZg43vrTDaej1+prrHJCdomQXt1T27YuFql4ZnRGixoNAmueV3QNPRd21H7eyOhnCtzvOPgLix1LHG9Ee6Yz+LtwAsd6u4CMTlzW9sZb5b440vv8J2Z0xSt5o+IHt5ZJNIxHvjoXcSSBl/7189z4vULFGfLLE6X8BwPNiCLkiASlzVmzQonqtP0GRnyWmd54JZnc6Q8Rd29eiEKQMlqYfkuuhRlwLwg4EJ9gT+8+DrHKtMsmHWcdWq9A0KCICrxbXo2i1aDsWaJ8/UFXl64yOdHDvNIzzbicrQPiaROIqEjSZsvl93M58IwZLxZ4jszJ3l14SLT7SpVp423waLFDwP8MMAOPOquxYLVYGw5m/fq4kUe6NrCL4weZiB+VT1MEAT2DfWQjenoqsKB0V5SMY2dg93oSkTUNUUmYajsG+4hpiqbGv/5+gLfnDrO28VxZtpVao55g7FHEW878Ggsj32iWeJMLSKbD3Vv5RODB9ieKqy7DYjULDMJg0I2wYlLcxiqQuCH1FvWKnVSx/c4Up6i6qxeRJ5XDEzfwZCuZtbHGkX+8OLrvF+aZNasYfmdezBCQoLQx/V8Wp7NEk0mWmXO1xd5ffESnx66myd6d5HVbs+CYaPjf7vERpNkPjq6Y0UA6EbIaDofHt6GfsPPXz+u9ccZhCGnqrN8a+oE75YmVrK3/rrXT4gXhnh+gOW71FyTObPGWKPI6eocP5w/z+O9O/nkwAG6jfX7gsMwxHF95ot17trZj2m7vPzuRXaOdCP/VODmg0cYYk9MkPvoR/EbDWovvURg2yQfeAB92zbkdBpRVWkeObKSKbweXr2OeeEC6tAQSnc3CAKtEyfwarWOn7/mx6/hStf8Ha5TWnYdCqMGn/jdEdLdqytywiBkacriT/7xhXW/ayRl7noyx11P5ckP6MQzMlpMQjMkJFlAlKPATxBEquKuFWCbAWbdo1a0ufhunWMvlli43MZzbzxW1zdZqp9f1T+3VL+0aj+9wKbcnKBlR/1VrmfiBTbV1hTmMkH0fGvDALZqiIzsT7Ln4Qxb7k6RyCkYCRnNEJdJlIgoCQhixMWDIMR3Q1w7wDF9zGZEOCZONTjzapXz71TxnJtbEUXlpjMUSzVCx8UrNQgcl+Y7ZxFjkRWEV2mC5+OVajTfPI2oKbjlG2dM9YTE8N4Eex7OMrwvQapLxUhKqIaEqonIqoggCVxxowj8q/tnmz5mw6dZdpg41eTMaxUuvlfHc26dxCQSUTC43VoiCD268nuo16dw3NXl00/92gB7Hsqs+H1egWcHvPBH05x5vdpx+7IqMLArzl1P5tlyd4pMQcVIRudT1kQkWUQUo1sm8EM8N8AxA6yWT7PisjhucvLlMmffqNKs3F4fo57WGP7QEAQhU2/OYi61GXliCNlQWDiyQHOxzejjQyhxhYXji7imx/aPb6U+3WTpdJHKxSqedecsY+qXTtGavoxbv1qS3Zo8j1Wcw62VCH0Pc2EKr1VHiieX+w9dPLO5IlJjlRcpvv8ScjyNIEmEvodvtZffD7FKcyy89i0kIw5BgFuv0hg7g9uobmqMvVtj7H4ow87702T7NGIpGT0moegSihbdi+KyxXoYhPheiOeEOKaP1fJp1z0Wxtqcf7vGuTerlOc+2GqL0HVxJqZw5xfwyh1K3W+hsvK2yOLZ2g+w/DpVd4acOkLZmWJL/H4SSp7p1nG2JB8gpRQ4U3uBhJynx9iF5de41HiThrtIQMCO5KPEpAxeaHOp8TrT7eMISGxN3E9fbA+bFWOpOSavLlzir6ZOUHHuvDrWzeLC0Qms9s1dEKIkoukKmqEysK3AJ3/jSRRN4dgrZ3ntr94nljDYemBo3e/netIEvTJFu0kYBpi+s2qRfyOERCRypl1hW7KA43u8tniJf3P+Fc7VF9Zd6G8EPwxYsBqU7BZz7SpjzSI/N3oPeS2xZhEZBAHCLZiXXwvTc3izOMaXx9/jZGWWst0iuMWwQRCGlJ02FafNdKvC2do8v7LtAT7UE5mSC4KAocps67tiOSAgCJBNxBCW3z82Pku50eaxfVvR1Y1vN8f3+M7MSb45fYJT1TnqjnnLY/fCgLLdompHYz9Tm+fTw3fzVO8uNGljcpJNxNi/pZfjF2cRRIF7dw9tKmFh+g4TzTK7070AvF0c50tnX+JUdYbWLXhe+WFA0W5ScdrMtWuMN0v83Ohhhq4h7D9JEATQJZmW6zBeq1Bz7I7G0Q/0DSGLIpIoEhdvXXH4ejRci+/NnOKb0yc4V1ug7pq3HDBzQ5/F5ft2olXmbG2eL4zex6F85/nHdjyOnpnm1fcuRRlFIpVl8QP2Hf0prqL64ouIsdhVsYgwxLp4EWdmJsoiOg5etUrr+HECx0EQRRDFqNxpcRG/2cQrlXAWF1cIpVet3rG+qfWgxyW2HkrRPbg6Yx6GIfkBi3hGoVVd/eyRZDjwZJ5HPtdL79YYmR4NWV3/2SGJIMkSqi4RzwB9Gn3bYwzsTLD/iRynXi7z1jcWKc1YGyZCw9Bf6VW8Asdb24/p+m1cv33daxauv3G/pRaT2H44xeGPdjO8L7GSRRSlDYJcUpTxkJXo+2SvqlUP7Iyz79EcM+dbvPPNRc68VsHdLGn0fLxyA+868ueV6lBa/dHQ83EXKqx4LK2DWEpi+71pDj3dxdDeaP9iKQVJ3mD/iPrRr+xfYnn/giDG4O4E+x7NMnO+zXvfXuTkK2VuVrdEUWKkkoMIgogs6QSBRz67A7NdXEMWe7fE2HFfGj2++lke+CGnl0mra6++gHq3Gdz38QJ7HsnSPaQTS6+/vwLL51IV0eOQ6oLuoSiTteXuJIee6eK97yxx/Aelmyb/16K92KI21WDrUyPUZxroGQ2r6rD12VEufW+c7LYMc+8t0Fps4zsBgRNQuVShMd1YRwn01uE1a3jN1QEpr93Aa1+97kLfw6mVoFa6/usRAh+3XllFOFe/H6zJJLrN6g3H1r8jxr2f6GbHvRny/RrJLhVZWX+eESCywZAj4c5YKrpOrtyL2+9Nc+/Huzn1Splj3y9Rmu3METQhhiTItIN6x/c7/7aILMi4oYMYCCj1ACssIiGTlQcx/Qat8Opx1gSDtNTNoje5qe3fFlmsOXNoUgJZ0Gl6RZJyN0X7MhBSdqYYDO5a+ZyAiB+6nK39AEU02Jp8EBGZtNqLG5jYfpOkUmAofpDx5jss2ZfJaSNo0uZ6c2baVV5bvLyGKApAQtYYSebpNZIkZR1DVpE/IPGXlBI98P7LP/82s2Ob9zCB5Z5TSUSSJSRZJPBDFqdKeK7PxNlZvvKl50hk1j8ej/zMPTz7d5+g38hQdzfORq0HO/C4VC8yGMvx+tIl/vmZF7hYX7rtMl4vDBhrlvjTsXewfJdf3Ho/BX11pmJspkwqoZNJGtiuhySKBEFUKheGIYosrdh8dELVafP87Bn+y/i7XKwvYQd3JvoVAhWnzZtLl6k4LYp2k58djjx6Ol1D15YeDuYz5BNxCunEht59DdfkT8fe5VtTJxhvlXDvkFJXQER431waY8lqsGQ1+fTQ3aTVDSwUBLDcqPxUQMBxPQ7tHLzxb4Uh52rz7Er18F55kt8/+RxnavMbZLU2Bz8MmGpX+MrkEUzf5Ytb72c0kb/xF5fx7vg0Tcvh4e3DqOtkVe4EvCDgeHGeLx19i/l2E8f3Ot41f/kzX0S+jiSeOTHN1h09aPqtNd0vmg3+cuJ9vjl9nOlWBfcOlf75YcCCWeeFubOU7Ra/uOU+nupb2yqgyBLbhrt4wt3BlsE8oiCQiGkdRbh+ig8GbnGt3Uun1zp5LQbtNj0DMs26R2v+xiWEI9sVHng8hiQLvPVSm8tno2DQvY8a5LolnvvqxoI2m0FkpyNSGNUZO3qVLMYzMs/85iB3PZmnMGIgybcWkBAlgXS3SqpLId+vM7w3wUt/OsfF92o45o+21E6UoDAS4+HP9rDvQznyg9oaQnKzEASBeEYhnlFWSuf2PJzlxf80Q3F6Y1J8y1hnmSBKMLg7wQOfLrDnoSy5fh09fnsVB6IokMgqxDMyhRGDwV0xdj+c5Yd/PMPixE2IIIUhkqigqAnCMCAIPKr1CRx3A5uK68ciCWR6VGJpmdpidC9IisDeR7M8/Nleth2KssO3Mh8KooAWkyiMGmT7NHq2GAztTfDyn81RucUMVWuhRWWsyt7P7UIQoV0yMcsmnulhlk0mXpoiuz2L03YpninhtF1ai22s6l+X/uONocUkHvx0gcMf7aZvR4x4euOAzY0gCNE57I4Z5Ho1+rbF2HZPmre+vsDZN6tr5htNMEhKOVRBxwktZBQkQcEOWoiChCLouKFFQIATmBhiElGQSIpZlrwZRATiUgbbaxOX0mSkAk5gkhRyNIMqCTGLGTTQhc3xK7gDZahJpRtZVHEDk6w6yLx5juA6c9crSkeOb9JwF9mSeIB+Yx+iEE0WVWcOVYqT04bp1XdTsidwAhM3tNDY3M4sWU3O1RZXvZbTYnykbzdP9O6gS48Tk1UUUUIWJMRb7Eu6Ea6Qxcnzc0ycmb1j2w38gIXJEguT60RWgJ2HRkkrBjtTvZTtJqbv3jQhdgKfc/V5+mIp/tWZH3KhvrjuZ2VRJC5pyKJE07U2Rc4WrQZfmThCWjX49NDdZLWr57dcbzO9WMUPQkrVFqoi4Xo+qiKRjOlsHcwzWMggdej7qzkm3505xR9fepuxVvGGAkYCwkp/IrDSx7gRvDDgTHWef3/hdWRB5GeG7r7h/uaTMbiBq0fDtfiPl97i65NHmTVrmxJfUkRppZy37dnrlgZfgRN4nK8v8meX38H1fX5+9B5S6xDGestiaqHKxx/aG1lS3CAjegUhIWdr8xzKD/O/nvo+p6qz64YYZEFcvh9lWp6N7bs3DEeU7Bbfnj5BQtH4+ZHD9MXSN/hGhKFcBtf3NyTrdwKm5/EfTr3PbKvBZ7fvJacbHXvI1OX+0bmZCkvzNXr6Mlw6N0e11KSnP4NuqCzMVkllDDRdpVZpkcnF6e5No3Y4F0tWgz8be4evTx1jwazfMBstIqBLCrqk4IcBbd+5YXCi7Tm8W5zACXwkQeTx3p2r3pckke5cgq1OnuG+HJeni9RbFoX8j9//9KfYHB56MsaZYzbnTtx4QVhe8lmc89i6SyWduXpfdffK9A3fOZVBWRHp2xpj7GgDBMj0qHzm729h/2O5lQzT7UIQItK499Es6YLGC/9hhpMvlaJ+xh8BFF1k++E0T/1KP6N3JUnm7ly1wcpvaBL9O+JkCirdIwbP/7spLh2p31Z2arPQYiL7HsvxyM/1MrI/STyt3FE7nSioING/M062T6d3m8GLfzTLyZc39uG8As+3KVcvocgGttMgCHx838bzbk51N9unEc8o1BYdFF3k8Ee7eOwL/QzuiqMat1+KLwgCqi7Rvz1OKq+SKWh8799OMX958/YvV9Bzd4H87jylC2UqY1UGH+hH0mRq4zXUhEq8J056KIldsxAlgdZCi4H7+tCSKuVLVXz7v75e0c0i16/x0b81xJ5HsuQH9NsiiZ0gKSK5fp1EVqFrUCc/qPPed5aoF6+tnhDwwijokJP6EBDw8ZAFBS900IUYMTGFFbTwBQ9dTGAGDULAC20UQUVGjaxoAhsntLDDNlmpj1ZQIyFmaAXVmxr3bZNFSVAQkSJPRSRCAkRBwQutFcPVtlcmqXQhCTIBAV4Y+ROBxJXmcEXQkZbtN0QiL5ibKX9peQ4l+2okKCFrPNaznb+182EGYpkPfKH4k4Cma3G+sUDZblJxWhiSys5U701tw/ZdXlu8zLn6ImdqqyPMqihzOD/MnnQv21MFkoqOsky8ncCn6Vmcry3wfnmKU5XZdcV+luwmfzb2LkPxHI90r+7ZarZtXC9AEgU8P0AUBBotm1rDopDr3H9p+S4/nD/Hn15+h7FmseNiWQC6tAQH80PsTvUyFM8Sl7Vl4ZcwGr9rcalR5HR1liPlKcwOZbcBIWONIv/uwmv0Ginu69qy+YPbAW7g8+Xx9/j65DFm27V1F/oZNcauVA93ZQcYSeRJKTqaFN2+0dhtJltlTlVnOVOdY8leG9n3w4DJVpm/nHwfVZL5/Og9HUtSwzAkCIOVfkt5k5H7IAx5pzjBkt3ieHl61Z7IgsjB3BB7Mn3sSHaTVmNooowoCLhB1Kd4sbHE0fIUJyuztP3OZatlp83XJ48xYGR4dmAfiQ0UOy8tljg6Ocd4scJIPsPT+3eQNnTmag3evjzFZKlKQlM5NNJPTFU4v1DinpF+Xr8wQXcqwZauLO+MTfO5ezenBOv4Pu8szPHbdz3Az2zbjSHJHavo5WWhHrNlMzNZIptP4FgePf0ZpieKVCttFEViaaFO/2CW+blqlHHscGm0XJuvThzlG1PHmDdrHa8eEYHBeJa7sgPsSvfQZ2SIySqSIBIS4vgeFafNxcYSJ8rTnKnNdwyc2IHH8fI0f3z5bfJanP3ZgdXvOx4nz8+RMDTePDaOIktsHcz/tBT1JxyZnMg9D8d46pMJdh/QmJlwee2FNpfPORx8QGfvQZ14UqS85PPOK20mL7s0agHz0x6Fvs5LCCMmsO8enUxO4vUX27Sbt5bGkhWB3m0xECDdrfLpvzfKoae7onLLOwxFkxjel+CjvzWEIMKJH3zwhNFISOx7LMdTvzbA8J5EJJLxASKWVtj9UIZ4Wubb//skZ9+orimbvJOIZ2UOP9vNhz7fR+/2GMoHuH+CIGAkJXY9kCWeUUgXFF77ixuLmIRhQLu9hCSqSJIKgoAkqfi+s6J4uxnkejUSaRlZFbjnmS6e/OUBBnbFI3uwOwhREkjmFQ5+JI+sCHzzX02wMLb51quJV6aQ1Kh6rV02cRoOTsMlDELsmo1reZQulKlN1jErFp7tM/P2HHpGx6pYBN4Hc73oQzlyD+3AGO4CIbLKqb43RvP0DKKukNjZR+beLSj5BKHn07q4SPm1c/hNm+S+AdL3bGHqP71C6ETnTIqpdD9zAN9yWfru8U2NYWBXnE/8zjB7Hs6iJ6QPVKBNNSSG9iSIpWSMhMwbX12gMh8F6gRAFlRCrlR2h8vq6AK6EAlFSkgogkZa6kJCxg9dRERkQUUVDGJiEk2I4YXO8v9dREEkK/WgiQa6EMcQE+hCHCu8cRb9A6nJSsh5NDHB6epzGHIG068jIiGLCiPxe1m0LrBkX0ZEZDR+H5qUWDlAt4Nr+4OyWox788MMJ3K3udVbw2/+k5+nVfvR9k52jeTIKAaSIJBVY7dUOOoGPufrC5yvL6yUnkqCyKHcEJ8evovdqT669ARZNYYirr6Z3MDn/q4tfKR/D28vjfPlifeZa1c7EqDJVpn/MvYuw/Es25MFBEFg+1AXgz0ZCKMSk3BZgnNspoQsiwwUMmvKOMIw5N3iBH85cYTLzaWOv5XT4jxa2M6TvZGyY5eWIKXoqxRCwzDEDX2qtsmiVedUdY7vzpzireLYmu0FhFxsLPGlsy/z+/d1rysitBm8MHeWb0wdZ87sTBQ1Ueb+rlGe7t/LrnQPPXqStBpDvebYR2MPqDsmS1aDS40lXpg7xxtLl6i7q6OjASFTrQpfnzpKlx7nYwNriZCqyMR0lVNj8yiySDKm86G7b7yPIXC5ubSGsB/IDvCpobvYnxmgW0+Q0+Jo4morCS/wqThtPty3m/dLk3x18iiXG0sdS6nnzBpfnzrKSCLH4fzIuhN6Lh5jb3+BxXqTuVoDx/MxHZdTMwvMVRs8sHWIsWKFty9PM5zPMFGsMJRN897ELFu6smRiOpOl6g33+1oIwHAqvcY3sePxCkBRZBZmK4iiQHdPmsvn5pffC0lmdURJRJYlSkt1Cn1pVO3qlB2EIc/NneGb0yeYN+sd7/eBWIYne3fxcGErw/EceS1BQtZWBc/CMMTyPSpOi7n+GkdKU3xv9jSnqmsrI+zA40h5kj8de4d/EM+SvsaexfMDxmdLWI7LjuFuzo0t4gfhzdo5/RR3EqIAVwzGry+BW37dNEPGzjs06gHjF11OHbEoF6NgwcKMh+9bKKrAg0/E2LFPZfLy+r3rYQjxuMDBBw0GRmROvGttvkeuAyRVpG9bDCMu8ZG/MbhpoujaAXbbQ5Si8i9R2lwvvCgK9O+I8ZFfH8BqeZx5vYprfUCL44TEvsdzPPubQwzsjG86gxGGy4JSZoDnBJEojL75m0xWREYPJPnk3xkh8EPOv137QAhjPCNz38cLPP7FfnpGjZvav8ALsS2fwAuQZBFlWfTmRhCEqF9seE+CZ35zCEEQePUv5m+osyTLBr09hwhDn3D5mbO4dBL3JkpRs70a8azCnoezPPrzvQzsvDFR9L0Qx/IJvBBZE1E1EWETpaqCIKAnJPY/nsOxA77+z8auy0ytj/rUWgGi8oXV/aa11hULhuif9pJJu2jeAeXgzlDyCbIP7kDvz1I/MRkdgyuKMUSluEgCbsPEnC4jJ3WS+wYQNYn5r75H6Ack9w0Q39FL89QMAHLSoOupvcx95d1NjaF3W4zP/P1Rdj2UQVE336YWhtF849o+kiyi6uKmr3VREuga0nnk56Okzmt/OU9t0aEd1nF9hzAMqBMiICzTxQAZeYVEBkQuBAEhbmhR9mbxQoeAgCVvEi90CfApe/Mr/wqAFbZwQos59/JKBvNGuC2yuD31MJqYxFcHCfFRRIO4nCWl9LA3/TRtv4YoiAzE9pGUCyiiwXD8IG47jqS4xHSVhJJnseiSEw/RpUUHbCB2gCD00KTNlzDF5cijbbpdBUAShJXMy48D9z61/0euxioIkUCNKsrokrJudmYjhLBKyEYRJR7v2clv7HiYXeneFZXUTlBEiV4jRa+RYjieYySR51+d/QFjzeKyzcNqvFua4I3FMbr1ZOQLmbq68LyW+BuqjCxLxPS1aqITrRLPzZ7mZHW2428Mx7N8evhgZL8Qy6Kuc00IgoAqyBSMJN16gi3JLrYk8uS1ON+ZObWmZzMIQ46Wp/jzsXf5nd1PrHtMNsJks8xXJo4w3ix27OtLyjqfGTnIxwb2sSNVICarHW1rorFLdOkJupbHviPVw5Zknm9MHmPWXN087ocBl+pLfGvqBNuS3exM9ax6X1dlutOJZcuMSOVys7D81Rmph7u38Zs7H2V/pp+43NlvE0AWJbr1JN16kuF4lpFEnn97/hVOrpOhPlmd5bXFywzH8xTWUenMxg2ycYPxYoXpSnQM6pbN+fkiJ6ejiHOx2UYSBQazaWKaylSlhihA23EoNlr0Zzc/B6mSxAN9Qzw3foFDhX4SysblZIX+NPGkhiAI9A5k0WMq++8ZAcD3A2JxDUkSyReSEIbo1/Uznq7O8t3pk0y0Sh0DDfsyfXx25B4eK2ynx0ita58iCAKGrGDIGXqNNFsTXQwncnx5/D1eX7y0Zsstz+HNpTG+O3uaXxi9d+X1mK7yocPbcT2fvdt6URTpv4mKjp9UyHGV3D1DVE7M4jVtJF0h1p/GrrRRMwbmbA2v5WCbIRMXHapFn/GLDifeXfb3FaFnUGZ0uxpZOG1TmJ92N1RdF0TYfZeGogocfcvk4mkH/zaSc5Is0L8zziM/38sDnyqs6eMLwxCr5TN9tsXM2Rbz423MhodrBXhugCAKqJpIululb3skMNE1oCFtsIgXBIGBXQke/0I/9SWH8ZPNO75IVjSRHfelefpvDDKwK75hL1vghzQrLpOnm8xdarM0aWI2fDw7wPdDZCUSRElkFfq2RRYbI/uTSBsJcYgCw/sSfOy3hmnVLjN1utlR1l+VYuQSo5hOFS9wsN0GXnDjMmXVELn7qTyPfaGPni3GhvsXhmA2PGbONZk626I4adEou7i2TxCEkbiNKhLPKHQNavTvjDOyP0kis/5aRBAFCiMGz/zGEO2Gz/vfW9rwHBpGDt93aLbmCZbXTf5Nrp+SeZX9j+eIZ2SG9yfXkFvXCSjP2sycazJ7sU113sZu+7hOQBhE17qRkuka1BnZl2B4X3LDUusrhPGuJ3JU5my+/aWJ2/M7DNf5e6PX7hDkhI7em8FvO1TeuEjguIiaQuhGO+TbLu1LC5iTJbyGhZKJIcU0UgeGmfuLd7Dma5gTJbL3baN5agZBkTBGuxAkkdqR8Rv+frqg8pm/P8ruh7MbCtgA2G2f2QstZi60WLhs0ii7OKaP70XXqqQKxJIyXUM6fdtjDO9JkOxS170HBEEg16fx4Gd6MJseb3x1Aavp4K5D4ja6KlthJIjjhx5ueDVRYIXNVf9eOZf1YP22tutxW2wqr42ueS0uR5m80OymUTbIJA00VWZyto6uVcmmYliVbga60yiuxMRcnfG5KrtGCiSUSLQird5c6SREEfRD+aEVslh3LC43SisM/EcNQfxgeiI3gu27XGoucqmxSFoxiCs63VryllPpsiByb36E3971WEefwY2Q0+I82bsTJ3D5l2d+wGy7umauMX2X782e4t6uYdKqsYoIXTvmdLJzb53je7y5NMZri5c6KrUOxDJ8ZvgQnx0+SMFIbXrsgiAQlzUO5YfRJJmy3eLNDhlGO/D4yuRRPjF4gOF47qaOc0jIN6aOcbI627HfMCar/OzIQX5+5DAjidymfBKvQJcUdqYKUfZUkPiL8feYt1aratmBx9HyFN+ePsnIrtyqctSW6TCxUCaTMBCIPB9vBfsz/fzu7se5Kze4yiPRsT1kOYqgdjpmaTXGI4WteIHPl869xPnawhoyZPkeLy+c596uYbqNxKa9X2VRRFdkupMxDgxG80xCV9FlmZppcWG+yLbuPKbrcnZuifu3rq8+fD0kQaAvnuTrF8/QcB22pnPEFXVNQmd/rpdDPX0kUwaJZNTjfOU49A5ESq9hGFJ3bGKKQjK91hvS8ly+O3uKE9WZjv2Gu1I9/MLovXykfw8ZdfN2I6IgkF3OxIsI1B2LE9WZNZ9bshp8d/oUHypspz+WAUBVJPbv6Mf3AzRVZs/W3p8K3PwYIcc1lJROakc3TtXErZqouRh2uY2aNrCLTVhOnIRhpDB6Lbfv7pPZe0inUfWZHnM5+KCBdIOIuQDMT3tMXHLpGZDpHZSZmbh1obEr/YRP/FI/qfzV4EsYhrh2yKmXSxx5vkRx2qK26NAoO7h2sFq8RYgUV1NdKu99d4ldD6Q5/PECuV5t3QyAJAtsvzfNPc92Uy+6a6TuZUFFEfWrdkKBtSkSBRGhHtwd54kv9jO0J7HuPRL4IbUlh5MvlTnzRoXStEW96NCseGsygYIQlbWluhRS3SqDOxMcfDrPzvvSkX1Ih3lWEAS2HEzx1K8O8LX/dYxyB2XGdGwARTbwfJuYmqUWBnjOxvspiLDrwQwP/1wvPVtjG84BzarLhbernHy5wtylNtUFm1bVwzH91QEJAVRNJJaRSXer9IzE2PVQhruezJPMdSZUgiDQPaLz8d8epjxrMXGisW6Qw/MsVDWOYutc6Z6/2RWcrIoceCKHrIho1/QoBn7I3KU2x39Q4vKROuU5m3rRwax7eF64ioTJSiRKlOnVGNwV58CTOfY8nF21vev3MZ5RuPfj3YyfqHPypXXUQH/C4VZatCeWyN6/jYFffIj6sUkaZ2bx21fKMgXkpEH60ChaTxrJUNAHcwiyBAJ4dZPa8Ul6PnEQKRndl8l9g9RPTOPdoMJPVgU++reH2PvoxkTRbvuce7vKyZfKzF1sU1u0aZRd7Ja/hqQrmkg8I5PqUukZNdjzcJY9j2TJ9HQOmAuCQNegzgOf6qE673D0+8UPWoT6pvGBpd7apsPUfBlZymM5EpV6m6Zps39bH23LwfF85op1BEFAlkSC4PaOzEAszYf7dnK6OselRpG6a/FWcZy3l8a5v3v0x0IYf9SQBJGErNOtJynoKWLSjUvhNkJaNfgb2x+6aaJ4Baok81Tvbk5X5/nKxPs0vLUPmTO1eU5V5xiO5zfsP+uEy40iby6NMW+ulRdOyhqPFrbzqaG7boooXgtFlNid7uWXtj3A2fo81Q6WLPPtGn81dYLf3f34TW37Yn2RlxcurPK5vBYfKuzgU0N341sCC0GTXCyGJIl4fuQHKYviymQShiGyJKJdo/QpCAK9RoqfGTpA2W7x5Yn31pCKitPmraUxHi1s496u0ZXXXc/HtD12DRe4MF3EcTx8P+goLLQeZEHib+18dA1RbDYt3nj9Av0DWXZs70VRO/cFKKLMw4VtXGgsUrKbLFlrezAvN4qcrMyyL9O/aUKUMjT2D/TQtl3OzC4iCDDaleW+LYMYczKT5Sq/9sg9nJld5O3L0/zC/Xdtep/9MOBStUxMUThVWmC2WUeV5DViDo7rY/se/YkkqiQz06iRN2KokkTZMinE4oQhvDE7xb6uAtsyOVRp9WLheGWad4sT1Dpckzk1Ki9+sncXCVnF9E2E5f+FBCtZbEmQcAMXJ3BQRIWUcvU+ickq93aNMGfWGG8W19y7XhhwubnEywsX+MKW+4DlDLcigRKNNbGBJ+xP8cEjcH2spSZqJobRl6Z2eg41G0NJaai5GOLU1fkiDGFmwuXeRwwGRxXeWO4z1HWB3DYVWY7Sie1WgCQJ7Dqg8ejTMYa2KhT6ZMIQzh63CYHZKY9Xn2vx4JMxHnwyzg+/3aS0eGvpRUGIyia7Bq8GDMMwpF50+d7/McX5t6rMXmiva1gefQGspo/VNFkcN6OswPk2T/3KAIO74+uWN2oxiUPPdDF2vEGt6OAv+zBmtX6y+iCSIC9rL0DJnKJirw2qdEJ+QOe+TxbYfm96XbLq2gFTZ5q89KdzXD5aozh1I0uPaDG7NOmzNGkxearJ5OkG93y0m8c+34ca61xWJ8kCBx7PMXaszptfX8Ssryb2qhyDECRJxdCytOwbZyL6d8S57+PdDO9NrBtcCIOQ+TGTt76xwMmXyiyMmxuX+4bgWAHOvEN13mH6TIuJUw3Gj9V59Of7GDmwXgWIwMDOqA/tj/7heZrVzqWanmfh+w6alkJRomeJ2S7hB5vPLgoCqwIaAI7pc+qVCm99Y4Hx4w1qS86GJMBzowBBbclh7kKLmfMtliYsHvxMz7qkWJQE8gM6j/1CP5fer2M2bu5e27ZFZnzCw//RCgCvgtcwqbx5Ea9pEd/WQ/6JvST3D1L8wWnalxbRB7IUPnoXgizRPD8XWazJEvpQHgSBwHYxx5cIbI/kvkHM8SKJ3f1M/8dXbvjb9328wH2fKKBo65eeVuZtXvnzOU6/VmH2QuuGasmuHVBdcKguOMycbzF5usnU2SYP/Wwvg7s6l5yLksDAjjiHnu1iYcJk9vzmS6B/FPjAyGJAZANRrrWxHBfHC2iaDo22TbHaQlNkLNtDFAUc179tawZDVrm/e5RfdSz+5PI7nKsvcq62wB+ce5XxZon7ukYYjueQ/xqXRcmiRFaNU3PbVOwWonbrnoWqKHFffpT7riERt4K4ovGZ4bt5Y+kyrfpihwyRy3ulCe7rGr0psuiHAUcrUxwrT3e8dralCjzdv4c+Y61iZhhG3xA3cWxUUeZgdpCHurfxnZmTa94PCPnW9An+xo6HiEnrl1lejxfmzjHTrnZUPu0z0nx0YC9bk128eWmKtuuSi8dIaCqm41JstelJJmg5DjXTIqYqjOayDOcyq65vQRDoj2V4sm8XZ2pzHClPrT4OwHizxIvz5zmYG1rJXqbiOg/sHSafjjM2VyaZjt/0dXRvfpiHurchXhOmCUNwHJ/5hRpBELJltBtFXT9jGpNVnu3fyzvFccp2e02prh14HK/M8Ehh+4Zk0Q0CgjBEEkUUSWJ3XwFDVSg32yAIdCfjxFSVe0YG6ErE2dHTRTpmMJhNk41vYDFyHTRJ5nM71tpKXI/zpSJ53eD44gKm7yIiMNtsMJLOcKlaxpAVsppB07GRBGHNdeoFPi8tXGCiWe44ax7uGubRnu3ktDhz1ixFewlRkBARSCkZBEGgZEd9paqoIgsyKSW5iiwCpBWDw/kR7soN8tripTW/U3NMfjh/nk8P3Y0h33kFx5/i9uA2bRoXl5AMBTmuYpdahP4CTs2kfn4Rt7E6APDSd1r0DcmEoUCrGVCr+Lz6XItct4xjB8xMuMxMeARBSLXsc/Rti7PHbRw7pFKMyrBOvmtx+azD4pzHWz9sky9I2NadC5GHQUi95PDtL03y5jcWsVs3T0KrCw5HnititXw+8bvDDO6Kr2u/kR/U2f9Y5FO4OB4FZpJqAQip2DMr/W2Wf2MjeoiUQXfcm+bQR7rWzRY5ps/F92o8/4fTXHx3rW/fZuBaAWPHGlQXHeyWz9N/cxDV6LwYNpIyj3yul0vv15k601xFSmvtWVJGH7qcwHQq2N7GC1g9IXHgiRy7Hsyi6p33LwxCps+1+OGfzHL8xRKN0i34N3shC2MmlXmb2pLD078xxI571z7rr+zunoezPPy5Hl74o5mO5baeZ7FUPB0p9C9/52aIYic4ls+JH5Z58T/NMHGigefe3H3gWAETJxs0Ky6eG/DEF/sxkp2X7LIqMHpXkgNP5nn7G+sr2HfCr/xCgv/lX9ZotX+MqawQnMU65VfP0To7R3L/IOl7t5B9cDvty4vo/VniO/uY/+q7VN6+hBTTULtTEVm88v1yi8bpaXIP76Dk+oSOR+vixgJH+QGND//6IPG0vO4aZ3HC5Pt/OM2R54s0y+5NZ/x8N7pWm2WXVtXjqV8ZYORAonOQXBfZeX+aqTNNFsfbPxK14s3iAyOL+XQMZUtvVC7i+RH7D0LSCT0yozbUFaJYyCfozty6SMgV5NQYzw7sIaMaPDd7hjeWxnl7aYKpVoUfzl9gIJah10iS1+IkFJ2YpCCJUscF2a1iX6Zvw76+Dxqm72D7Hl1agoSi3/gL68CQVJ4d2HtDA/fNYFuym/u6RphtV2l2yC4eKU2xZDUYuYlSzgUzEqFZstc+pBOyxsHcIAeyA6u2Z/suNbdFy7Pxw4B+IwoeuIGPLEh4oY8qyjiBhyrKWL5LUjFIKDofG9jHdzv0LgJMtcucqs5xb35kUxnsmmPyxuIlGm5nae7HenawL9OPLinIkohvByw1mkyUPBRJpO26NG2HatvEDwJ600lM18X1/TXBEEkQ2Zfp49Ge7ZzqUPJady1OVWYYb5bYnioAkWdeJmGQS8U4uH2AtuXcdDnhp4bvIiav7jENw5D5uSrxmEa9ZuJvIpQ5kshzOD/CxfoSxQ4Kr2eqc0y1yuzL9K36rUrL5NhUpIS6UG+yoydPXIuu5ZShrZSgXovhfIbhfAaALZrKlq7sTe2zKkl8eHjbDT93sVyi7ti0PQc3CFBFiZgSjU0WRBZbTQYSSXRZxg+DVf27wIrq7fXiRQBZNcaD3VvYksgjCAI1t8asNYsiKIiCuBysEVi0FzEkA1XNEoYBZgezcEEQGIhleLiwrWPvohP4TDTLXGoU2Zvpwwk8vMBHk2Qs34tEmBCouW3swGMw9uMRG/tvFaHr45RXy+o7lYjwXP86wORld414zflTDp26ZMqVPOVygNlYvTCdGrv6/fkZj/mZO+N1C8vBJjvgh/95lrdukShegWsHnH61TDwj84nfGSE/oHX2zBUF9jyc4eTLZYpT1nIGM6TplimaEzf9uz2jMQ493UWmt3Ng1PcCZi60ee7fTXPurepteyFW5mxe+tNZerca3P2RLhS18zzetyPO/sdzlGctmpWr58zx2iiSjhc4WG6DINz4fI4eSLL30SyprvXXDQvjJq/+xTxHvlekXb+968MxA06/WiHwQ+KZrfRv72y1Jqsij/1iPydfqTB3obVmwS8IIrnsDjQ1ge+7IMD8wlEcZ3NBgOsRhnDxvTqv/Je5WyKKK9sJoDRj8ebXFkjmFB75XG9HARxBEIilZB74VA9HnyviXJOllST4yOMGO7ZFliXFss+f/2WL7m6JDz+m85lPxKlWA0wr5I+/3KTZCnn0QZ39exRUVeDimMsrr1skkyKP3K+TSAgk4iLzCx4/fM1iqXj7KUk5ZaBkY3hNG6fSxJwokrprCDllsBzZR5AlAtdHkERiW7pJ3T28aht+y6Jxcprco7twq21qR8YJrPUDEYIAH/pCP/07Yh0trgDadY8X/miGd761eNMZ2+vRqnkc/0GJZF4hkZXpGuociE51qey6P835t6tMnLh9v9o7hTtGFt8pXaDlR0TgnuxWUvEYyeUyJEEQVhY8giDQnb1KDK99/QpqTpt5q0Lbs8mocXr1DIZ846yTIAhktdiKr6IoiLwwd47JVoXJVgVFlEgrOilFR5cVNFFGEsTIc/EOkcX/+d7P0Gv8+MiiHwYrpY23SoAFohLUe7tG7siYZFHike5t/GDuXEeyOGfWmG5X2J8dWPE9vBEuNpa4WF/snJmLpdmfGSB5HVm2fId5q0LdbVNxWhTtOnbgYPou/XoOTZJZsKq0fZuhWDeyILJLGURdLkfNa/GOhCUIQ95YvMTh/DCb6ZA9XZ1jxqx1VPo0JIX7u0bp1qOymp2FLhzfxw8CmraDKslIooDrB9heRB4TmkZCU9fNmqcVgz3pPobiOS41lla9FxIyZ9Z5vzzF9lSBMAxpmQ7j82X6u1JkUwaXZovsC3o3LVZiSCoPdW9b0/MhCJBM6hi6imU5607Q10ISRA7nh3lx7mzHY79kN5luV2h5zqrMtCKJ5OIxXD9gayHHlq7cqjLdVccg9AhCCwERUdx8f99GiOxHOi8QHh6IemHv7xuMbGd8n6weqRhnNH15/BJ3F3rJ6bE1c9PR8vSy+una7e9IFdiR7FnJ9KmiSp/eT06NiJouGYRhSEpJoosGuqQRbLAiTSga25MF0mqMqrOWYDQ9i6PlKbYm87xbGkcSRNzQo+aY7En3U7KbGLKKHwQ/JYsfMNRcAbdaIryBZ+Z6kBQDVU8iiBKe3cJ1WgiihKqn8D0Hz24ShgGylkDVU7jLgTpBlBElGUnREUUJ12riezaipKDoSSRZx/dsXKuxIh5yKwj8gIkTDV7/y3ms2yCKV+A5Ice+X2LrwRSHP9ZNbJ2sTaZXY+vBFOPHG1TmbcIwoEsfISan8QIHCKk5izScpY7fvwItLrHlYIpth1PrTn3VBYfXvjzHhXdrt00Ur6BRcvn+H84wvC9J15DeMfAnSQL3PNvF8RdLq8hiyuglJMR2m2hyAltq4PqdWyeMpMTuBzMM7e6cNQFoVV1OvlTmyHO3TxSvwHNDzr1V44U/muEX/rtt63oadg3qPPzZHr7+z8bXZGvjsS5kWUPXMlRqY6SSA0jira/jqgs2x14oMXasfgOieLU9YD2EARSnLd751hKjB5IM7u6cWJEUgYGdMbYeSnH2jerK64oi8OtfTPDD1yxm53yarShk6Dgh84sBigIzy6/7Pgz2S3ziGYMTpx1arZDHHtIplgICHz72tMGrb1pMTHk88ajOUjHg9bqFc3tJWOSUQea+bej9GcIgRFQkfNOl+m6kFWHNVmhfXqD7mQOkD48SOB72Qg29L3P1OHkB9lwVZ7FOYlcfY/+/5zb8ze4Rgwc+VUAQ11+KvPm1BY48V7xjFjpW0+fo90uRV2a32jH7LooCg3sS7Lwvw+Sp5pp5IJFT2HVfClkVeedbS7cnanQTuGNk8WvTbzNjRvXsw/u7SCmrFznrqnJ1eH3OqvCd2fe42Jhnd2qAj/Xfw/bk5vrm6q7FkdI0ry5cZKpVWbUQcgOfot2iaH9wtcCdhFZuBMdymb28wPSlBWrFBlbLxveCmy7N3bZ/mKFHhggImW6XSSmbL6G7FrIoMZrIk1M7R+luBfuzA2S1OHMdFrleGDDWKNFwTIxNEO0wjLwOp1qdTXcHYhl2LmfJroUoRH1+rWXCWnfb1L02hFCVmgyp3SzaNSRBpOG2aXgmu1KDUdROVtme7O5IWCDKjoabVFN6rzRJy+0sErA9VWAonl3pUSskOwdWrhzBzYQDBEFgOJ5lX6Z/DVkEKNstTlZm+NzIISzb4/T4PG+cHKdpRp6X/k32E29dtifpNI5CT4rcbJzpKXvTPqq7Uj30GCnO1RfWEDA/DJhqVSjbrVVkMaFr3DV0NXvo+UVcbw5Z7l1DYv2wieNNIAoGurjabP5mEIRQMtt8d/w8k40altd5MfT/uP9xtOXzKwgCfhCsBKxyRmxldLuy3QjC6jkyCENOVWcprXMd7kz1rAjOABS0Aj16L3H56r18/f5vNM9IgkhWNRiMZTqSRdNzOVubxwsDFq06SUWn4rQICZk1KyxZDfZlBpm1quv+xk9xZ9D94EfwmjXac5OYc5N4rfqm7zFR1sj07ERAQI1laVamCBsLJLKDSLKGIEq0awu0ajNIkoIWy6yUYKp6kmR+BFGMJN09p0Vt6RKxVB/xdC9hEIAoUpo+Brex5nKsgDe+ukBtkxYBm0G77vH2Xy2y9WAKYx1fNVEU2HY4xfEflKjM27TcCoqkR8ElYfk+3sRM3D2ks/vBNPF052ecbfqMHa9z5PvFlf7IO4WJkw3OvFbhoZ/tWZdM9W6NMbw3wdKkhd2OTpSmJAjDAEmUialZWvb6RvcDu+KM3p1ct1QyDEOmzjQ58nyR+tJtsovr4NoBx18sceCxHAef7lr3c/d+rJtXvzzPwuX2qltDEGQsq4LvOThOgzAMEYRbb1m6fKTOxfdq2O31V/ICIgkljybFabpFLH/9LJLvhsycb/Hed4sM7Iyvm100EjIHn+5aRRZ9P+Tt92wkEfp7JV55IyqlrFQDXnrNpNkM+f5LJpVqNNY9O1UkCV542WRhMWDvboWd2xQmpz1cF9553+bEaZe79qn090nEYyKOc+uMRUYl0UyQHDPQrRiW1KLSnsacqdC+HFUu2HNVFr9zjNi2HgRJxF6o45Yb6P3ZVXNc4HpYsxWUdAxrdn2xH1GC+z7RTaawfuvQ0qTJG1+dp1lx7qgSbGna4vxbVbYeTNK3TiY8lVcZ3psg16dRmlm9VowlJXbcl0aPibz3vSLBj6hUdVNksdRqYbkeXYloxwRBwPV8DFVZyV6NNRcYa0Un9lYI07VwA4+J1hLvVy7T8mzuzm7ZFFksWS2+P3eWr0wc40y1s7H0TxLCMGTs1DTvfv8kZ9+7zMJkiWa1hW26BH7AzV6hH/7Cw/Q9PEAQhuiSQhCGy5PezWUYVVFiZ6rnjhqS5rQ4g7EsF+uLHc/LVKtMw7UpbILfNjybmXaVagdxGEkQ6TXSqxbMV2BIKgOxPAlZR1nOKruhh4iIIkpk1SSHs9tRRRlFlKg4V4MKVwh0J1VUgAuNJQICwvDGWerTtVnMdSLs+zP9ZLX4uhYZK39v+Atr0WOk2JHqvtZKaQWm7zDVqlCyW6QEnXTCYLQvRzpuIEsihWxi01lFAVZKQjsdh2XrzEgsZ5M7kVFjDMQyxCR13cx02WkxTOfMlR80adlv4fqzxNT7UOR+gqCJ7V1AEtJIUheev4QgqAiCBqGPKMQw3VMRgVR2I0s3zorZvsfXLp3mz8+doD+eRJcVvjdxgWdHdrDYbnKuUuTzOw9Ex+maY3NxtkghkySuqXhBgCyJzBSrpOMG6biOdM1nq06bqVaFtrd2jlVEadlL8eoDKHldH2In3GihG5NV+mMZTq7juzjRLKGJMofzoyvl21cEmAZiOXq0FIpw503Uf4rV8FoN9N4hjP5R3FoZc3EGa24Sa2mWwN14cS7JKkaygNlYRNHiiKKEHs+jaCms5iJaPI+eyGO3K7hOG1FWUZeFwyRFR9VTOFadMAzRYlkUNY4WyyBrCRyzjqanCDpcs5tF4IdU5mxOvLQ+WblVjJ9oMHmqQX5AR493vk77tsUojBiMHatTdxZxgvayP3SI5TU3XOhDJF7Rty3G1oPr34+1RYdj3y/Ruiaz13HCvgWEIbzzrUXuebYLRe/cuygrkZ3H2TerK2Sxbs6TMnrRlCSW28D11waMIFLR3XJXat0yUIBmxeXCuzWmTn8wpXWtqsdLfzbH3g+t3y+Z6dE48HiO4rSFd012sW2W8HwLIVwinujDsqs3bZ1xBWbT4/KxOksTG6twCgiook5SyeMG5g2voVbV5fw7VZameiiMdF4oKZrI9sMpjKS0UjbpufAnf9Hirv0qPd0if++3U/z2/7WE70fXhSyvtmB1vRD5GgVdWYlayFY+KwqR8JR0xfPzJg5OBxhiArWpUD56kfBoiBW0aYXVVZ8JbI/WhQVaF1b3ILYvR8FvQRIQVBl9KI/Wm2bpu8ev+st2gB6Xue+TaxMK1+Ldby+xNO0QyjrgIkgSVxYtoe8hSBKirCAoClIshtdsEFgWgiwTXvEL8v3ov4OA0L06/40dbzBzvkXvtrWVQxDNF4VRg4FdiTVksVlxOfr9EpIsbCzsdYexKbI4Xa1j+x5T1VqUNF/et52FblK6dsf6/a4gLmnoUlRGVXGaVJwbTy5tz+Ht4gT/6dLbXKhvXA7yk4ILRyf41h++xFvfPUq12Ljth4LVspGESFKk6dlYt9igLQsSI4k7WzImCgJD8Sy6pHQki3NmbSXjdyMsmQ2WrEbHMr+YrNKlxYl1ENyQRYm8miSvXrUTub4MejR+dQLp1q42zEsI5PX1+2qrTouGa90wG9twLWbbtY52BwDD8RyJTZRc3yxikkq3niQua2sIVwjUXJPJZpl7u0bYMdhFOqHTl08xX2qgyptf6AsIbE2uH9l1bBdFkdl/YBC9g29mx20KAn1GuuPYAZasZkdV0GvHFIQmftBCEDQEov3xgxpOMIsS9AE+rjdNGJooUj+Wew7Hj7KNXlAiE/uZG47T9j2+OX6Wg919/NzOfeiSwotTl/mdux+galv86bnjDKfSa+bLs9NLLNVaDHdnuThXJGloLFSb7BvuIWloXCtCO92qUHXaHbOBKUUnr8XvuL+sKsqk1c6LEz8MqLomTuCzJdENrL2nwjBcUxL+U9x5lN57Ga2rF72rF70wQHLbPhKjO7FLi1gL05jzkzi1CnSYe3zPJvAdZMWgVZ3BahbRk934noXVLCFIMooaR5QUPKeF71pc+8BynRZmYwlRUpBkFRCiUlRRwvcs6sXLhB38UjcLzw24dLROs3znsopX4FoBZ9+ssv3eNPo6glZGQqZ3a4xEVsEpxUhrfWhSVLKuSU18azrqdVsHybzC4J4Eqa7OQlC+F1KcslYyQoIoEO/SyQwlmDteQpAEfDdASyiIsoAoizQXNiYj12PiVJPyvE08o7Be7GbrwRTxtHzVRiMM8QMX22vheiYJvRtF0mnZ5VX9i+mCxsDO+Ia+gPOXTS6+V1/VT3cnIAgiYRgQ+CETJxqMn2iw877Mup8//LFuXvvL+VVk0XVbeF6bMAzwQ48w8HHcW6tAW5q0mL9s3nA/w+X/ASsZ6g0/H0B51ubcW9V1yaIoCaS7NYZ2Jzj/Tg0ARYGf/WQMxwkxDIFU4uoDJQjg/EWXX/lCgsUln699q82psw6PP6LzuZ+JYTsh8ZjAmfORv6qmCXzkCZ37Dqmk0yITUx6t1u2dTwmZkJBWUMPHw7/JeUJUZeI7e8k+vAPJUDGnytRPTq/7eUGE0buS6x5DAKvlc+T5IiS70CQVRCniPaKIqBuEnoukx/CadQgClHwXcruNPTuNFE8gxaK5IXAcRFXFKRXxqpUVZl2aia4Ru+WjJzo/r3P9Gv3bYxx/cbUCcbvuc/bN2k0dozuBTa0qFElivtFkolxBVxQkISKMQ9kMSU3dVO/RzUCXVPTlevGWb9PyOguBXIu5do0fzJ3vSBRlQSSvx+nRU6RVHUNSVnoV7zTim1zoN6otXvjzN3j9m+/TqESTkh5TyfVkSGbjSIp004e1f0sBTZIZiGUZIEuPnr6l7KAsihT0tVLUQRByebHE1kJ+TXncpsYXS6NKMnR4pi5ZTcxNZqSLdpOy3TnCmZQ1shsQtuvHfKP/vvb1+AaKjyFQtJpk1fiGeZo5s0bbszvGBURBoC+WJibf+Z5XQRBIKwbdepJmcy3hans20+0K9zJC23YZny2jSCJvnBwnFdfoye/Z3P0iRGqu631SEITIimM5UrlZ9OipdY9/xWl1tGW5AlGMI4tdCLKMru7E92t4QQlJzBCGPp6/gCjGsL3LCIKKJu/E8aeQxQKSmCRkcxUKfhAw12rw9+55hPt7h7B9j4SiMphIcaCrB9Nz+YPjb/P5nQdWWWGYjsvYQhnTdjk7vUghncDyfLwOzQgz7Sotr3MQKKfFb9p+ZjOQRZHYBr3EbuBTsdsrhHCz99RPcWfhNWt4zRqtyQuomS707j707j7UXAGtq5fElt1YxTnMuUmshRkC5+pzNfBcJFnDSBRo1WZBELBbZZL5UdKFHShaHLNZIgxcYqleYuk+wsDHSM4givKaFEMYeAgIGMkCge/RKI2vLOpvBa4dcOGtD26BdOlInUbJpWtQX/d67dlikO5WcZq9KKJO3VlCQCSldpNUu7HM9cVQ8v0aQ3sSHcsHAaymx8z5Fo1lMizKAvG8RnY4Qbtskd+aoj7XxrN91Hh0L94sWXStgNkLbfq2xdZY8ayMc0AnXVCZvdDG90KSRg8AYRgQ1/MEgYekqXiBg+lUV77Xuy0W9UOuY5XheyHzl9tMn7uzLUCiIJNNjtAwF3DcJo7lc/T54oZkcWBXnO4hncnG1X4wQ88hySrt9hKmuXmj8k6Yv9SmPHvjNeuVMtcg9DbsG78WrarLxfdqPPpznYVuABQ18s+8QhZDoNEM8HxoWyH/8t/UV/W5/es/bDA0IGOa0TN5qRjw9W+12b5VRlEEvv2cyfmLLltHFarVgEYjpNUO+fZzbc6cd3Fvs4DPw0VEJC12ERBghk0aweoKAkGSEXVjObsHoefit6NrKQxDAtvDLbcw60UaJ6fwWxusBySBA0/kNhTtmznXis5hshu1u7Dyu4HrIMUTEcsWBLxmHVHTQRAQVRVR01FyeaREksAykYIQUdfw6qtbAnwvpDxrUS+565LFWFohP6ijxUTsdkD3sM6Bx7Mr9ixzl9u89Y2rfEdWI+uNkf0JZs632HlfmsqCzdk3aux+ME22V2PqbIuTL9+aF+emyOJgJiqdyBoGmiwhiSKu75PU1A+EcMmihLQs4+8ELs4mykln2zWOlldHEzRRZmuyiwe7R9mW6qJbT5JS1iOLIZHhx3oRHp8oBb1xOV5a3VwE/fz745x47TyNSgtREtl1eAsHH9vN4PZeEpk4snJVwnmz6OrLYvkuAgKjiW408dYyDKIgklVjNC2bI2OzSJLI9t48nh/w1XdO8eTebfTnUmTjBkfHZwnCkN39Baptk7pp07RsdvR20Z2KrypfLOgp1HXM5WuOuemy4arTXtefsO07vLZ4cd2erluFG/qcrc5v+JnGSrR9/RO3YNZx1+lITsgaGdVA/oBK9hKKTpeeYKxZXPOe6XsrXoam7XJqbJ627RDXVcqNNkEQIK6zwLgWAnTsV7wCI6bS1R0FIm5m6shr8XVVhhuujbkOgboCUYzj+JOY9nEALPcUflBHFGIIKAhoKFI/gqDh+JMoYheuP48gKGjK9s0NUhBQJflqZg3oicU5Xy3xQO8gA4kUY/XKmoz4/pFeHNdHlkRScZ2EoWE5HrmEseaBtmQ3sdYpj6o7Jt+aPsmx8vpR1VtBy7M5XlnfQy4Ig01XBfwUPwIEAU55EbdRxbfaSLEkRu8I5HtQcwXig9sw5yaonTuGUy1CEBBL9+I5bex2BUkxMBJdNMtTtGtzKHoSzzVp1+fxXBtZTdCqTBPNdSGO1SAIPFyriSBKBJ6DpGhIqkGjPIHv2ujJLqxWGces3vTuhGEkRjN+8taUKTeD8qxNec5iaE8CRes8MXUPGyTzKo3JGG2vRtEcB0CT4ijixkGaTI9G37b1xbOaFZeJa/YvDMG1fKy6Q2F3lu6daWRdojHfxrMDjOytBYVmz7c4+OE8rLNMkVWR7mFjxa9PElWC0CMT6yem5ZguH0OT48jX7W/vFoP8wPprn1bVZWHcpFVZJsOCjChKhGGAKCr4vo0oyviBiyLFEEUZ220Qhj6CIKJIBghRj6jlRCRIVWJoSpp0YgjLreO4TXw35OwbVTwnWNc/U1FFtt2TZvZCe0XoRpZ14vECllUhuI32pTCE4pS56Z5MP/TwQw/hBuvKK3CsgMUJk0bZXTdLLSkiI/uvPoNdF/74y+uT9JdeW0tsj550OHpy7T60zZCXXrc4d+HOZfi90MEPfQwxGrN/3fGXk2niozuvkjTArVdonI2e5aHr07owT+vCxuuzK5BkgZ0PZDb8zLm3Krh2iGcvAiGh7yOIIoFtIUgyEBJ4PkG7hRSL49aqhK5DYNu45RJupURg2Si5HIKqRnXaosi1LL264FAvOutmOCVJIJVXyPRoLIwti1ZKArl+jW2HksxeuJ4sigzvS/DM3xzg3e8U6d1qcN/Hu+jdYpApaCTzCnsezjB7oUV57uarDjfFJlK6zp6eq8qm0FnF9E7BDXy85VIZPwzW+Kt1QsOzWbCuTrayILI708Pf3P4QD3SPktXWn6jDMCAIKjjuBXTtPsLQIVrqCQiCQhg6hHh4/gyqvJMwtBCEm/eeuxan375EeSGa9HbcPcKn/tZT3Pf0ARLp21NjnG1XqTkmF+vz5LUEI4n1SwLXg4hATNIoNdq8fHaM+7cPAcsN6qXaSunEu5enaVoOcU3l1XPjuH7Ux6orMm9cmOSZAzuI61cntKSirTJovxaW72L7LkEYIN6gsbzp2etmV6qOyYvz53hx/txN7/ftwvJv/JDp5Bd4BQlFRxUjvx/Xdpm+ME91qU4iE6N7ME95vkpprkL3QI7eLQVKsxUWp4rEUzEKQ1206m0Wp4qk80n6tvRgJFc/vHVRXrfE1fG9FQGTpKGxc7gbWRLZM9rL5dniTVzrAql1ShYBZFli27aeTW7rKuKKhrJOoMH2PSzfxQ+Dda8vVR4hDD0gQBJz6Mq+ZbJoIAoGkphCZy8AQdBCU0exvPNIYgZJyGxqjLIgsjPTxYniPE8MbUUQBA4V+vjTs8douw7vLcyS0401x3L/SO819hhR1cZ682vVaWOvc50tWA2+MXVsU2O9kwjhJ74//L8lyMkMRmEAvXcQvbsfUVZoTZzHWpzBd2z0fA+JLbsRZIXy0dfwGjUUNR4pltotREmJQqehT7MyxfWNc2ZjAbOxunfoWhLomFX0RBeiIOGaDRBAvA0LpjAMMRveSrZGlCObC0VP4tot/OV5S1R0VCOJ064TeDaylsCzWyhGEtdqIis6nmt2bLIKvJDFcROr6aFonRfh2V6VREamEpjE5QzdxhYEBDQpTt1Z39tO1UVyfdq6i3uAdsNj7uLVBX3oBbSWov3V0yrtkoVZtfHsAKvu4N+ioEhp2uroM3gtugZ0NCPqeWtYC6hynCD0cDwTXU4QEuL5V4NDkhKZwifWMY0HqCzYFCevBnh1LYOhpgkCD01NUWtNE9Pz2E6DhNFDELj4YRfl2mVUJUFv9gBtu4gfeNhuA11Jkktvw/MtdC1z9biFEfEvzdr0jK7/HNp6T4o3vjLPFZ0537dIJPr+/+z9d5RkZ5reB/6+6+8NnxHpbWVZVAEFFApAN9AObWa6e2Y4ppuimeFwViSX0kpaasndwz0UtTJHEilDrnhEUSJFieTSjKc4rqe9RTdMw1ahvE/vM3zE9d/+caOyKisj0hQKPSDZzzl1KiLjevu97/u8z4Oq6Mm+SclG+TpheMDqrRdRWfNpN/bxPJQSKeNtQkl7z5OIMq3cae8SLIqkF07hkSnqAqyuRXzju202Nh+NMuhdaEJHFTqBTCqMD/bQG/kiztgUrfk7yI5oXNTqzizbEyKxphjchYIKiSBUGMREQZNodvdqeNTcXpiIGvclfaKQqNUkau5cRqMS7KkInMrp5PoNVm63WZtz+c6vLjF5Kt1TuVlRk2TI5pLHjbdqfOGvTPLEi338n397BsNS+MX/7DBjJ1LvX7AIP1pqUdlvUA2Si0ET6j4rLXKbH1necPjE4FE+M3Kip6XAPURE8RpecAGIieIyqtJPLBuY+km84ByW+TGC4CpxVCWKV3GszwDdm1P3g9XZdVr1NkIRvPDTT3H2k6dI55yOYbzs9IYefNmmmvC/l9wqzkP2vgkBlqahSY2To4OoikIYxfRn05SyKZ4+NIoiBL/92rv88eeeYDCf5m/8zrcZKWQ5NNDHydEB/u5XX+YTjx0ixb0HmqXqPSvRMRIvComkZC9Lv1bov2cRpfcDoYz3bDtthG5PyomlaFuBsu8GXHz5KrqpY6dHkbGk3XBZuL7M+sIm7YbH5nKFdtPFckzW5jeYvbpIeaWCYRl4bZ/HPnR02/I1Re1ZbQ5ltFUdMgyVI2MlBvJpTEPDMvZvm3F3Px41DEXtuQ0S2fH4ixPhnC7Q1QE0JUmcCKFgyMmtz72gaxPA/lXxLE3j5w8fJurIoKtC4eePnOS/e/0l/tGFN6n4Ll84cgq9y37s9/naCLye/a5/VJBS7iuh92O8v7AGRrEGRrGHxjEK/UgZ460v016epb04Q1CvgoypmxZ93gtkpk9Rv3mRsF6lVVtGIlFVHa9Zpl1bIdpSbD54M73v1mlWlzDsLFLGBI0NArf2UPsVR5LyskfoJ/diqm8UK9uP366RSx1n9cYrKKpOfuwUkd8i3T/F5sx5csPHqa1cp3/6WVavv0JmcJra8o1Ov+VOrM+5uK2ITLH7dpiOSrqg0xSriHiYjF4CAa2wsqttRiqvUxi2ULXu97SUEq8ZUV727vsbeI0Ar9H9PdcuP1wlv1ULd/i2PohsyUAzk2dUFAcYqk0sI/ywhZQRLb+MF94bIKfzOpmSjt6jkgdQWw/YXLq3zYbmkEmNEEUehpZK+iHtQQwtBVISRi7Z1AjN9hqaapFLj1FpzBBELorQyDjDaKpFvbWyI7kchYnq6m7B4viJFKp+73wEYZtmcwUhFBShgTi4MCAkXnqtatitLbgrhBDERIRy/4N3vx2zNtPm6DO5rr8LkZyTdF6jvvnokngraxFf+9bBguf9wMBCQaEtG6REBvXBsERAUK9SffcN3quwh6IIRo6meladAWQsWZt1H4l4TFgpJ72KXeC3I4I9+lrNlHqvD7jDsGg3IkI/3nb93o92I+TqD6v47YilW22yJZ2L3y/TN2QSePEWjfWgePSjuveIVuhxqTrHXCt5+GY0a1/iCGnNYtDOMNtMTkxGN5lIF/YRKAIIEAaqOoQXXEFKD6m2CeMVIKbtvYZlPk8UlwmjDaRs8540wIFW3SUMIpyMzfjxETKFpM/OjwMqQR1TMTCUJLjSFS2hpcSJWayCsuVdKZGd6ZL99OKQZuQRS0ncMfQ+6ENPIFA7tIiMY/LGrXkcQ6c/k6IvZfP6zXkODRSY6i9wcWGFuc0Kw4UsihDMrJVpeQHFtIP2wMDdUrVdactBHHUCqd2TA0EcEb4HsYT3Dft4tvhR1NNRyVL1LeVLGccEfsjxZw9z9Mwh1hc2kVIyOFFiZXadOxfnSOcdTjxzmLFjw7z7/SvUNxsMjJcIg4gw3Hl8dEXpKX4SSYnfecM1Wj43FzY4NJyMmvLpg1mwaD0qgLuh3fIxTK1nsGeqOtouQVsYx3v2fdwf9O0nAEzum/3fO4ai8qmJ6a1njgCeHhjlLz7xLDcqG+RNi5+cPNqzQrof3E2ofODwAdykf9tQfOYT6Lk+wmad5ux12ksztJfnt/UmAsSeS3P+NpkjjyM6Fb/AaxCsPTrqfhx6NCvzNCuPYlnyXiAlFKxMCStdor56m+LkGbS5d7GzAxRGT1FbvUFh7HFamwuki2OEfgs7N4SV7cfODlBf7a5mDVBe9vHbu1gdCEGmTyc2V1nZbGKqqcSDMGzsOthP5TUKg70HaFEoadXC92z6vR+4zWjPalMqr6N1BqISiR+2UBSdtFVktXadhrc9MM4NGKR72IHcRbMcbKNmxnGIKjRiEeAGNVJ2P0HYRlF0qo05wsjDsYrompNUNYM61WZCr9dUG11zaLZXabsbeP52enIcS5Zu7l556hu2sDMajUoIEuIoZGX13BYFVQgFQ0+jKgbRAYQCm5Vg3x6gumJhqilAHKiXN/DibYH3gxBCoGpJtbe++f6bumdTo0SxT9t7OAqvK1uEcQAIHJEhekAjQMYSLZMj9+RzRO0mSIhaDdoLd0BVUa2d4xMZx8TtndeAosDIkd3Ze+1GRKMcPNKqbDcEXkwY7L4Sw1awe/Q09kIUSdxGhFDAa0a0dAEyuZejIO6ZtNoLB9qKII5Ydnf23Nz97S6W2mVS2sHU74I4pBG63Kgv8fXlcyx3aC0DVp4BK7/n/GOpPGeLE8w1ywktKgop9xBB2QkFVSlh6o8Ra5Md+XzQZQNJhG1+FGSIrk2hKAUEJkI4PXuugjAiiBIJfEUI2n6AG4TkHGtLWVJRlaSC55jopr6tWXnDL+OoNqpQaEculmKS1hzakUclSLKzhqITyRhHsxm1t9P6ok4PUTflyP0ioSFJDFXl6alRhvMZFEXwkWNTbDRahFHMR45N8ubtRRquz8dPHOKHN+aIYknD9Xj+2CS2vv0FogkVZZfB9z1tsN0R72J4/kFHUoHpvu2aomw7PqZjJL2rwOrcOpdfvY6mq0RhTGEwR+iH3L4wi+8FCS3L0Kis1RicKDEwtjM9rgilZ/JESknU4dOHUcT8aoVXLtzBMjRsU+fE5P6po73OYnmzQbXaRhECJ2XSbLik0haqKrh6aZHJQ/30D2bRuqivamInPeXBde5d131/IQQ4unHfd4EmBJ+dOspnObrLnPtHKOM/8v38MT6YCNsNWvO3aC3ewdtcZTe35rBRo37jUuLF+AFHHMttKqgyjmmVF/Dq6/itCpphY2WK+K0KodugsnCJOAoJ/TbpvlGqS1fJDBzGb9eQuwxm65v+DrP2B2HnNPqy/SyX63hRk5wxSErLU/VX8KLudDU7o5HZhYIK0Ddi8alfGd11mkeB/ICJYe2eKDNTKkpnQNnyyrhBLbGXUu2uSbZ0XsfqQYuD5N3Sqoc0q/eOfRC5W0FYGLqkM4Msrr+FbfaRS40SdHoYvaCOrtrbqqGxDPGCGhlnGBDomv3A+pIq8W7QTYX8gMHGgkccSSyrQDo1SCwjqrVZbLuIaaSJooBqbXbfdFS3HuG39xcsSiR+1CaIXIJ4b0Gcuwj9mNr67gGsUATZfhN4/4PFQnYqERcKmg8VLLZlA2Tit6iiEj6ggBi5LcJWA7M0uBUsBlWd9sIdVCeFPTmNomooqRRRo4FQVWQcUz/3xo51CUXQvwcFVUrJR/+dYbx9nseHhZPRGJzaPXDVdAXdPqDfp0yemaqS+HE/SDt/WFLogYLFetDi12e+31VgoXKfzPAfLr5F3jhY750fh1T8Jneaa2x4NSQJjetwZmibnUEvjDg5fnL0BNdrq1ysLFH2W7y9Oc+nm8cZTeV3nVcIBVVkUZUsd5v2EyGb7dbnjvqpzveYuz2N3XB9eQM3CLANHcfQafk+LT/kmF7aChazfaktumDoB1sVQInEi3wUBK3IpR400YRKySzgxj7z7WVMRUcXOl7sM2IPMmYn5uPt0CeKI0btAp4ZMOLkH4pKIZEgJEO5DAPZRN1T6QQZT00NE3UuRCEEP/HE0c62w9XFNR4fH2SsmENTdno57RUMij0CgnsT9v5JFQrWHlWo9wu6slsonCDpqetBR+LeFaebOlMnx8gWEzGYvqECk4+NEQYhuqkzemSIylqV9cUyrXqb/vEimq6yvlgmU0hh2jsHJ1L2ViAVQmz1+zmWwVh/nuWNOo6lk3EORmfuRUm8c2uN9bV6YpmhCHI5h8WFMmPjfdy5s05pIEt/j+1LkgO9rx4hxK6JiB8FYilZbNR4d32Fmu8Rxd3Dui8ePdVTjXAvCNH78tc7NONefZvvF7K6vU8Gx4/xfmLt5a8Re/sbdAb1CpvnXib2P/jCRDJmR2+PvD8QFtCqLqNZaUKvRei18RqbtKsr5IaPszFzjvGnf4bly98j3qWvvFkNCffoBbRSGgP5cRpLKyAlBWsMTTGIifHa3YNF01Fxsr2HWpquMPVEhqkndiqQ/1FAM8SWsJZtZLH0LEKoCCRxvJMWa2c1zF0GtFGQ0GzvD8T9oEGlMYsQCkHoIoRCo71GGHnk0uMIAfVWonCKhHLjzta8cRxQay1h6llURafSmCO4L5iTsaS6uvd1nRswUdQ6cQSmmcFx+onjkCgOKOSnqdVmyaSHabbW9h0seu2I4L5rSLWScXDk7ixc+HEL3z94710UyG2BdzcIBTJdekjz6QlU1URTTRRFo1Kfpe2VyTiDWGYeIRRcr0q9tYyUEWl7AMssoCgqnl+n0VomigMcq4Rj9QECy8gRhAffDwUVDQNN6Ggk7DhdJAHj/bXioFqm+s6rJAzA5G9bnoVxDFKiZrKotkNYKaPoOubgMPXzb+7oTxYC8rtU+SHpE/zZ/3jqwPvzfkDRBNpDVgIfNQ4ULLYin28sn+upRHkXL69feU8bBck1cSg1yIf6jjK0j8qipeqcLU7w7x59nt+68xYXyou8sT7Dv7j1Op8ZOcF0ukjO2Cku0X3N4r7P3bD7wOji/ArtICBjGShCYaQvQ9sLtknhjx0dIp1z2FiusDq3Sbvh4mRs4k610FIMFKGS1dMIBLqio8UaE84waS1FI2ix4q4DkpgYBZVNv8ml6iKWqjNs57aopAeGTCrFSQCxs5dK68hjR1GE1/IxbQPfCzjS30fWNHqu1Y+iXfsldGV/diZJH2v3tQxYGT5UOsR4qrD1t1hKKvU2yxs1FEWhlEuhaQrzKxUMXWO4lCWKY2aXy6iKwsRQASHgxtwGuq4w1p9HUxVuLWygKILxwQLVRptm26ftBYwN5OgvpBlLFdiLtmiqWs/jE8ThVsXUdExOfvjY1m9DU/0MjBcTs/vOi3zk8CBxx3hWUQSDE6Vt3x9EJOOe/W6qEFsBjGPqTI8UWdqoMjFY6Dr9bvCj7utoNDx8P6R/IMvSYoWh4TyLC2Wyjztks/ZWENkNoYx2pV9qQv2RB0kPwg1DfvXKOd5ZW8bR9Z6x7c8dfuyhg0VdqD3vkclUH8+Wprap0TbCVZrhGrqwcbTE/LkVbWAqWXTFoh2WiYmSPh0AKbe+68LCUNPUgkU0YZHSirhRjSBOfB6z+jCWmiejWwxYvc3Gf4wfDYx8idj38CsbeytbxBFxlwHsBxFSyi2TeClj3NoqcRwhkTTWZwi9Fm51DSvTj25nQSSJzObGHIqq47erNFZv49bWkLs0k3nNaE/xF9NWsSwTQ7HQFIu6v4ah2hhKbyZVQiV7fxSu3w+omsDQbDQ1QlcdQBDHIZvNWdr+TvsSK6Vi2L33L/DiHVWaKPapNOa2vjfaiWBS2yvT9srcL6rkhw1Wy5e3ze8HDRbW30QgdqagJTSre2sapPv0zntSEkU+nl8jjDwy6WEcq4+1tYtYVh+7JSkfROjHREHnHawbOGPTKLpBe3mOsFVH0U30dA4ZhUlVX9UwsgUizyVqN1BMG8WwQMYEtTIIgVnoJw58/OoGsZf00u0loCOE2JGgEEJhYujDbFRvYhppBouPc/HmGnEcMFQ8jR82kTImlxonjDzCyGWg7yRxHBHLkFxqlDgOaXsVBgqPoSoaXtDENDI02wf3NhcINKGRUrKYwiGSIbaSJpDbA32hauj5Enqu0KkaRgSb64TNOlGzQfPGFeyJQ2iZHN7SAmo6g17o3ngsFMjtUeX/IEFRxJYdjVCSxJLpqKi6QNUFVlol8iVh+P5rBhwoWExrFp8bPsNca4M1t8qaV6MWtPdJHtw/bNVgOj3IT42c5Wzx8L57oHKGzaeHjzFkZ/nKwiVeXr3Fr99+k8vVFc70jTHq5MgaNinNwFQ0dEVNqH/i0dUkDqWLmLpGMeOQcywarsdwPku15W7Lvj/+/FFe+cN32Fiu8PZ3LnH87CGOPjWFo9kczxzacz0bXgVVUclqqSQAE0nPlCIEZb+ZiMk8ZLAYI2ntYUUAsHhjBbflEQUR5dUq48dG2FxfJXNyDMXcue5W5PesOimITlVk7zORnLvul27JSvOToyd5ceheoOUHIRduLnFuZZHjkwMUsg6b1RbX5RqOojOi5Dg8UeTVxgz1psdj1iCFrM3vXbrIE0eGeWxikMW1KifyDSxDIw6hjQ82aGkF34v4+eNP7KuKm9GtnmqvzdDf1ZBWua+f727Q/WBQuJt3UBBHPb0sNaFuCSI1XZ9Ld5apNNrYpkHD9Rntz++67HuQNKPuWd3ADzFMjbYbMHWoROCHTEyVsCyd4eE8QhHIWHZtWW1HAWGPa0cgMBSVSr2Nqijk0zabtRZxnAivrFdb5FIWKctASkk2ZdH2Alquj6lrLJfrqJ0kgqoozK9VsAyN4WKWtL3/qqobhXzt1lU+N3mUT05MY/YICHv9fT+wNb2n4NdYqsAvTDzF44XRzvbUWG6fpx3aZPVRNMWkFW4QyAIqOl5cw49SaIpFIF3C2EUXySA4lB6q0MnpQ7iRjSoMYiKiWAX6kp4eJcWhzMcfel9+jEeL4tmP01q4TVCvIB/h4EFTTWIZd60qPQhds0nZAyiKRqu9vmVzoKkmKXsATTVpuRudgGB/SKwzOvsjYxobs1u/VeYvbn1ev/U6QlG3AkKvuYl3O/FrW7r8nT3XE3jRnqIWmiGIhU9aL+HHLVphBV012S1JqBvKrsHUBw0CgaVnydkZDC1Fw13FCzuedl067nVT6Sm2Acm5C/eg9+7E/saU3caekoQOuhfslMbdV3GrvUE6NYShp/H9BrXGIrbdRxyHuyYYHkQUynvXkKKiZ/tQTRO/vE4c+NiDYxiFEu7aEpHvohgWVv8oCAib9cSzr8Oi0dNZIrdNevokraU7BI3kXopjuacwihDsoBuLDmXX9av4YRPbLNBorZDPTqJrFrcXv0cYuRyb+CwZZzCxMdEcZpZ+gOtXmR59kbST3NuWmWNx7S1qzSVsK8/DNK3HRPjSRY11QhHQlg3asrmDIWQUimQfexKhaei5PoJamTBfojV3CwAZhITVCmb/ENb4FELT8DfXuqoe0yWI/sBDJEHh5Kk0k6fS9I2YDEzaKAp8+pdH8FoRy3fa3Hjz/W0pONBRyxsp/sOjP8Vce507jVXuNFeZb22w7Fa4XJ3H67xMplL9WOrBondFCHShkdYsxpwizxaPcjo/SUbfv7hG1W9zq75OLXAZdfIUzTQ36+u8vHqLV1ZvYak6JStFTrdJayaWpqMrahfPxYfHf3L6sxwfKTFRzGPp9w7vaGF75n3qsTGe+8nTrMxtcP7la1tVo8nHRrD2QfsrmnmK90lGA2R0m8dyI6hCYdjOd51vP4il7HgG7o6VmTU2Fss0qy1aDRchBKuz64wcGUI3d1IgqkG754Df0nRMVd/TNgMgpRk4PQzavSjYEehKCX4Ykc/YvHD6EHMrFd65Os9AIY1laqxXGoz05xjtz7GuN5lZ2mSoOMnkcIFC1iYIIy7eWuanP3oKx9T5O7/+XaZHijxxZJijE/38D//sW/z8J57Yc7sh8QvsRdmr+S5+HO0pSuSHEYuVGpaukbVNlE4m/W4u9m7PrKGppO6TgXejkEaP82qoKvmO5UXLDVjaqHFopMh6tcF6pYl8Yor9ir1U/e7Mg3TGotCXolJucejIIKahJcwSIXjqmSmgtwpoPfAIevRDmKqGreqUa21qLZfhYpb51SqVRhvT0Gi6PoamEkWSXNrixMQAixs1ZlfKDOTTnL+1xLHxfmIp2ay1uDa3hmPpTA328eFTk/vaZ0iSNR8dnSRnWuiK0hF06nKuRdJTHUuJpWpb+xxLiRcFSfX5vvnqgYulJs+qnG739Cpthv42C4tWuE4sQ4bsxymYUyw030QSM5l6npX2ReZbb1Ayj5A1xtjwbhDETUwtQ96YZMO7QTNcQxUGh9IfoxVucrn6+/SZ0wzap1CFzo3at34cLH6A4IweorU0u/eEB0Q2NYoftmi09vYxUxSDjDNEyu5nXVzbChYVRSdtD5BNj7BZvX2gYDHpwdnnpO9BKTgKe9P070JRBfVwBTfK0QrKtIIKumLukeQTuwZTH0SEsYeu5sjZw6hC21I/rbWXtymhQlKJ3C2RGEeJ6MaPDJJtVNBe0Mx7LLIgaLKydh4hVMKwjRAq2cwYzebKgSiW90sSxF6boF7Br4S0l2cRupEEMtVNmjPXUEwL1bDwK+vomTxGoUTYqNFamkE1bZzRKZoz1/HL651evWTBUu7sQ9sBkfgt3o9YxrhelawzTBB5LKy9RSwTFkkUB1uBdxyHKEqiqh/LcNvfhVBRFB0po44oj0wC6odQg5EdVlxbNrBI4YikDcyV24+3YlhE7Ra1q+dJTR6hNXeL1NR9GgBxhL++Sux76IUi0vfwN3Z6SXcOC3qXQsYHHbqhUBg0GD6cjNFuvZMEhqUxkziCMJRcfbXK0s02b39jg8CNiVS48WYNo7O/Xivmza9u7Cn+1AsHDrENVeNweojD6aRP7q4ozX994bdYaCdZvJ8dfY7x1MH8/RQEqlAZMHMMO/kDB5sA12ur/N3L32OhVWHVrW/zI5Mk1Ym5ZoU5Kgde9n7xH598kePD/XtOp5saL/7x56hXmnzj117mG7/xCutLFc5+8iQj0wNk+tJYtoGqq/tuSK2oLvNqDVvVaYc+Kc1k0O4ur7wbIhmzsQ9xoIkTo/huyMiRIUzHREqJnbZ6Klquu42eNMicbmMq9xma77LTOcMmo3cPqFth0DXQ1TUVuxPAmrpKyjaptzxStsHYYIF3byyyWWuRzyQ3o23q9BfSvHphhjNHR+nLOtxe3MDSNfrzaYSAlG2gq+qBxHaG7VxPNcx64NIIPCIp0XbZ/5bnc2VpjVLaoZh2aPoBtq6hKgpBFOGHEUEUUUw724LFZuhR7tEjYSo6RTO1te8jxRwb1SZCCApZZ9/WGVLCmvtAU71MenyffvYQ1UqTQ9MlVC3pgbl7ce9VlS37zZ4+lhndxNYMhvIZ5teqzK3O0Zd1qLc9dE3l46enOX9riTeuzHHq0BBhFNP2fGpNl3zKoi/j8NEnDjGzUuad6wsMFjKYuspm/WAPVV1VOVYa4n9+5xXeWl2g30l3pUv/9Q+9yIpboxl6HM0OoHcqhX4csu42GLSzGPfdQ+c3FzieG6RkpSmaaawennW1wKUd3qv+aMIiljHVYAEhVBCCWIZserfw4yaWmkEIDQW1YwotUISKIpLvqjDRFJNN/zZR7GGrORRUdHE3gXfvuo/imM1mm9nNCpAEvgoCQ1N5YmzoQMfxx3g4xL635UP2KKAoOraZZ7DvFF5Qx9BsWu4mrl9F1xxss4CuWURxQMst4wd1PL/KZu32DiEUP2iwWbuFojyc3+L76NS1hWTsu/uzXFEEzXCD2fo9VdUNd55d+6kVgar+6xUstv0qtXYLXbXwozZhR4ymm+K0UGC3HO9uvfLvF/Zje6Bqyrb8ZxjeGzekU8PUG4tEPVgyPfGAlIUMfVQ7jVHoJ/LayPBepVJzMjijhxCajoyChFIbR8SBj9IZ30Remzj0SU8cox5GWwIvMt59/wTsUL1UhIqqmXhBAy+ooSpJ72KzvUIpf4S+7DRxHKBpFs32OkHYIpceI5+ZJAzbGHqKamOelrdJHB8mlx5D12xMPYPnP3xVyxIpskoRVWiJZVys4Mr7PEejkNh3k32ybMz+IVTzgSJSHG/ZVIhOz6I73z1xpu5im/FBRX0z4NXfW+PV39ud7nvth1Wu/fAeVfyV37nn/9qqhvzO35l56G14z/XYtGbxZGGKEbvAilshlDFPFqY4mRs/0HL8KGLTbWFretdAse4ndhBZw+w5sFxp13l1rbc09gcJ19+ZYXVuAydjk+r0Lr78B2/x9ncuMTRVYmiiRKaQwjB1xD5fNKXTA2Q/OUjFT260kpl56GBxqb2zN+FBDEyU6B8r3msvELsP+pfaVfwe1aF+K42uCFa9JVJaGktJlNdiGRHJkEhG6IqJoRgUrTSFHgJK1aDNmlcnlvFWdUZRBH3Ze1YehazDqekhLt1eRtdUMo7JSH8ORRGkbRPL1Gm2fTw/5MhYiaFSlsmRPt66Mo9paHz8zGHK9RZp20QIeOLI8J7H6i6G7CxpzXzA5jpBjGS5XaMd+WR26YGRAvpSNrahs1ytM7dZZbKYxzZ0Fit1TE3FNnTc4L5kiZTUAndnINdBSjMYNLOsbNZZ2qjh2AZ3VjbRNZWjYwdL/Mx3FIkFEMdtovA6mn4MVdXp61OJ4yWkzBHHNRR1CCH2HkCuufWe1OiCkSKtmeTSNpahceF2hf58mqNj/ayW69xa3KDZ9inmHLwg5Nr8GpVGUv3clkTQVBzToNH2SDsZpkd6GK71QDsM+O07Fxh0Moxlctha9/0SwGq7xrrXoGSmCWVEyUpzu75BNWhTtNKIOOJOY4NYSl5fn2HYyVGy0ow4uW2Kqw8eo2rQTgI1IUjpAzjhGvVgkUawSlrvR6BSCxax1QKjzjMIFGytj4KcxNEKWGoBWy2QNyeS39Q86951TCXDWOo5IhmgKzYS6DOnt9YdS0m17XJ5aZX5zVqiniwE640Wj48O/UgG+/+2o37zItbACI07Vwjrlfe8PEWo2GYB28qjaSZR7BNGHn7QIJceI5saRcoIVTVptJZZLV/ZF1X1wBD07GUGUE2HaN/K57usRhF7RqVSSkwlTZ+Vw1ASDYRIRtT9Ndrh3u/MrsuMJWGYyNp/EOC1I+JY0vLLyLrE0FJ4YT15F3exkehojPSE2POwdoRLDhJRCrHr9Mo+xkxxJBFAyhkgCNvYVh+KooKEUukx5hZeOXCw+KDbkl9ex1R19HSO2PcSinhnu2Pfxa9toloOceATxBXCdpM48IncJn5lI+lfBLyNlXsiOXvcD9BRs38goEzb/fhBA9PIYBjpTg9iQKU+y1r5KpnUEEKobNZu02yvEsUB6+VrZNMjKFYf1eYC9dYKYdRmvXKNbHqMtDNEo71Co712YCVUkaQkcZREl2MtnCOj9GGK7YFgWK/SXpojcltErSZGoT9RewaEYaDn+5KqYl8pEbuxbKyJQz2Dxb0QhZLA+2BYs3mt6APzXHgk5F2BYNzp52J1PmmMjWNuVjZww5CSnSJrmqw0G7SCgJLjUDBtVttNqp5LSjco2Q4b7RbLzTpjmRxp3WCt3aTstskYJhnD5PzaMhXP5cn+IQw1oY72WTaNwMcNQwZT6b039AOEP/hH3+EHv/8mrVp7203dbrjcvjDP7QvzB17m53/l4/yxP/VxvDgkrZkE++XuPIAgjrjT6F7GfxBbD609ns1SSmYaGz2rQ0N2DkUJmWnO0m8OoSlJxUNXDALp48ceBb2EYfQxaGXot7orxzUCl6VWjXrgkevQKnVNZWKoQBjH+FGEEDA2lGd8qEAkY3RVJYwinjw2gtbpJxPA6EAeRSRKsFLCaH8OKXf2BX7hxSf3dawAbM1gPNXHrfr6NsrgXdxurFMPvF29RR1DZySfTWiLYchwPsNEsUDK1ImkRBUCxzDQ76tOuVHAqlun0qOymNEtRqw8G+Um795cYqPWpJRLISWcv7nEU0fH9jXgl0hu1Ne4mz2I4w0873sgdBSRBVSC4AK6cYYguIih5PcMFqWUzDcrPanR/VZ661znMzb9uRRpy+DoaIkoiplZKVPMOnz45BRrlQaLGzVsQ2dqqI++rIPRoYv3ZVOcnBrk8swKqqKgd7Hw2AtCwM8ffowvHn0cU1V3TZ40Qp9z5XnyhkPecJhpbFAPPR7LDbHUqvLWxlzCEoj8LSrQZLpItgc1v+y1WG7XcCMfRzNRhcaI8yRSPtHZNoW8MY7kdPL9vpu2z5zatqyCeZd+KylaR3ZMDzCd+cTWZ11VOTJQpD+T4jffeJfPPX4MgeA33jj/UF6vP8bB0Zy7Sf/zP0H+5FnctcWO0un2AaO7skgc7G8AHEYu65Xr5DMTNNtrLK2fA8DQM+TSowgUNmq3yWcmcKwihuZs0U4fJbZXSQRGOgdCIfJd4jAgVRqntnAV1bBRDRtkTBT6qLoJUiafDYs48AGJohnEYUDotbYJAama2LVCBgmdMm+MgZPB1nMIBKEMWG5e7RksxrHclTbouzHzVxrMXKj3nGbrWAgFzUpjpHI01+f2nH4vZIaO0NqYJ7rv2VpZ9WlWkqDf0FL0pSdouBuApO6u4gbb9zMOYuJd9k+oonfwpqho6QxC1QjK28ccwjDR0hmCzQf+rukYxX6CymZ39V+R0Pb2QujHSAm2U8IIPfL5aWSHUmnbncDxgFDU7ZRcv7KOX93o3IZym1VN2KzTuHW5a+Abuy2CasLU8zaWt/0uBFs+mD1xf59vMheOVSSMPMr1pLqkaw6KkrSCbFRvsFG9sWMx5fodyvU7Xf4+s7Wch4WCiq2kMISNik5OLaELc4dnadioIWWMaqdw15bQGjW8jUQQSdENjP4hiCOsiSmidgulc930QuDFsIvw8MaCy5VXyrsqI6u2kzA5eoj5PSq4jYj5qztVlhXbQcvmCCubxN6PRtH6kXV6Tqb6MVWNVuTRDHxeWriOrih8eGSCtVaTG5UNvCgka5gczhe5urlG1feYyuZJ6TrLzTq3qmXypo0qWvxwaZ65epWCaXOk0Mftapn5epWS7aAKgRuFTGULrLdbVD2XwVSagulwpjj2qHbpoWD2EF55EJvLFRqVR6tG58chrdCnHfnMNzeJkTxZmHiI5UTcqK8RxtFDGax3Qy1wmWuW8XoIrEyk+shoJoHM04qaLDXnUFAYssawNQcvcgm1JLjqM1KMOnlSmknzAS9JCSy1K9xpbPBk371roe75zFSSrJ5j6EkgLWXSDwO0g4D+VIqUYZC3LQxV3VJ9hbuZUfFIKiSnC6O8vn4Hz98ZLF6uLlP1W4w4vSvCpqYx1pf8PlHMb/vtqfHuVc41r8HtxnpXjz5D0Ri0s0xkC2h5lXzG5vvnb/Opp4/SdD2+f/72vgf8ErhSXSaIY4yO0pyqThIGFwEV3TiDlE1AQco2ELFVlu6BRuix0Cr3rCwO2zn6jBT1lku95TE5VGBiKE/KNnj62BhPH0sEX4QQHB4tkrBfd55LQ1c5Nt7P0bFS16TAXtAUhVPFQV5amEERgoxhdhVs+sxkEnzNNcvcrq/z7x3/GLaqcyo/zPdWbxDJmHcri0xnShzJ9DPT3NgaKwxaGYbtHKai7Ug2SCS36mustOscytyjaW+nBO7LnOahp1eFIGuZXFtJBnipLr3LP8b7g9TkMWQc03f2Y0StBlG7tUN9eukb/xJ/c7XHErpDPMCtUxUNTTUxjSxxp1ev5W5sfX7kEGKrz0ioKpmRY/jNMkJoNNdmMbMlWLiKUxzFSOWJQp/Id9GdLHHkI6MIzUoRei1kFCKEgtcoEwUuMro3INQtZc97PvIlOg4b7izCU4niAE0xiGTvqkocyl3Nt91GxIXvlvnyP9i7EiIUjczQYQoTh5l59bt7Tr8Xjv/ETzDz2tu4te70trTVjx+2AUnK7MMNajuCxcDfPRjWdAWtR/Cm6Brm4DCK5RBUNxGahgxDhBAYhSJ6ceBesChEEghk86SOnqR+5d2uwaIADGfvcYvXSvQB1tcv4Tj9LK+8hetWkDKiv/UYQdDdCmU3qLqyMzDeq2J6wN8VRaCbu++flDwggiMp12dw7BL59DgIgetVqDbmHqrf8FEgqSxqRDIkJkJFQ6DgP6CGqucKpI+c7MyUHFuJxFtdStRQr11EL5RwF+YIaxUUy8Y5fOzB1SXz7TguO7F0o8W/+lu3aTd6P8/SJ5+kPbtM1Ng7wfN+wOgrkX7sCWrn3sBfW/mRrPORBYvjqRJmpx9BAv1Oij7LpmDZvDR3h2N9RU4WB/jNq++y3m7RZ9m8OH6IsUwy6JUSVltJX9JGdZNNt81UNk/N9wjimLFMlj7L5rmhMZqBz9urS7w0f4d+J81wp6p4Mj/MXz/92Ue1Sw+Fvk7f1144fvbQNnXLR4HRx4ZYcqusu3UaobulbnlQRDJmoVlhqV3bZkHxXnCxskjZb3Xt7NCEwqF0kX6rgBtpVIINCnoJU7WwVJu0lkUT+pY1gqooHMqUGE/luVLdeaPMNDY5X57nVH5kS0ym5rmcW1qi4fvkTAtEkvE1NY1yu42UkkN9fZiayguTBw+wD4KzxUl+686bXfsHr9dWWGhVOJztx9hn4uF+dAvokspcmcuVpa7zFAyHk7mhrcSArqoYmsqN+TX8MMIyDjbgn2+WWWiVOZQuoSgFNG2aWFaIozWSgNtByhZCWOxHNOd6bZVVt9E10FWFwliqQJ+ZolpxiWPJWH+OYja5D+8G+Xeh7GZU2EG3QHI/kFKy6bXY9Fr85rULnfXtnO7jY4cA0IWCrWvMNctMpvtYdutsek02vGYi2OO3WGpXieJ4azmaonIqP8zr63e6UsUvlBe51VhnIt33R2IlYuoaT0+MMLdZJZKSn37ixIGD7h/jIRFHeGuLeGuLPSeRwc6ESzot8DxJEEDKEQSBxN/K6UnCyMMysuTT47S8Mn7QpN5aoe1VqTUXAPD8BkHQwtDTiTebkbzXbbMP16+iqSZpexDbzKGpOo5VpO0lA/O9IBSwtqwnBKpu0Vi6Ren48zRWbqOZDqpho9kZUFRCr4VuZxCKQtRsYRdHifx2UmnUTVrr83i19R1iOFZK3dHn9SC8doTrekQyRBcqhupgqPauFNTAj/HbvQeoiiYwnAPcq0Kgaiap0jhC0QjcBl4n2HMKIyi6kfgXug3capIYUA0HK9ef9IQpCs2NeeL7km+KZmBl+/GblaTi2nnWukEVxyhg6ZktwZMH4TbCXY3odVPBtHbfP6Fp6PkiquPgrSwhVA0tm0fe7cEWAi2dwRqdRGg6qrPLOEtAKr/3u7NRDrYKy63WGoaRxjJznUCqtqsnZy8YprJ31e89QtHEffdDd0gpt7xJVVNDSxsEtRa3Fr6D5uhEboiMJYquoGoqkRehGCp62iRs+kReZ147EWBTTI2w4SFUhTiMkWGM0BSEIojDGPbooeyGkIB6XCMSASqJoE5G6duhcKulMxjFAZq3rmxdD+F9nqYyCPBXl0BRUSwbpKR181qvI0OrGsBYb+aWnVG7v7gBoRvohT6yTz2DUFWC8gb+2gqx56Jlc2iZLELViNw2QWUTLZMjdtsIVUW1HYJaFdWykWGABPRsHqFqxKFPWCkTtZqo6SxaKo2UMYppErVaBJvrKIaJXuhDdP7nPaiqPwweXWXR6eds32HWvBp9Zop8Mcc3Zm7QDHwURVDzPe7UKihCIWOYhHHMYqOGIgRp3WC93WKt3SStG1iajioEzTBgPJNjOtfHreomG+02i40aJSdFWjeYqVVI6QZHC0lPVd6wyRujj2qXHiniWNJouKiqgmXp/On/508fSBhlP/DikPWggW4rKKLwnkzKW5HP91eu86enn3vP2xXLmO+v3qDWg0Y4aGcZTRXIaCmyepp+KxHEEIh7mfEHduVodoAjmQGuVld3PFxW2jXe2pjjxaHjW8Fu2jA50d9PKwiShnskWTOpILaCAEvTCOOYuuc9tAfefnEiN8hkushiu7pD8KcWuLy+McPJ/Miu1cWDoBn6XKutdOihOzFoZ3i6eC9AzqYtjo718/3zt9A0lTNHRw804I+RfHPpCn/u6EdQlTSKcWrrFxBoWkJx1LRDey9LxryxMcOa2z2DVzRTjDkFUppBut9ktP/RHLOHga3p/IXHT+85naVq5AybFwamyZsO16qr5AyLNbeOJlQ23CYn88P8cO0O14JVhpwcqfsSP08XJ/jKwkWW29Ud4fOtxjrnNuc5XRij3/rRU/P9MOLayjo/ffrEj3zd/7Zj9ftffqj5Th4zmJkPWV2LOHlCZ2k5Yn7x3nOpXJ+hLztFMX+UuHyVWnOBcu0OfdlpSrmjSKDamMXzq1hGjpRdQggFU0+TdgYIwlbn8yBCqOiaTTY1jB80CfdB41IUgZO76wMa41ZXkVLiNzZRDYsocNHMVCdRJjvJno5wlqLQWp9D0Qz8Rnmrv7FbNcXJaj0rYHfhNiPK9TXcqEEYB/RZY+iKSTXqrRTrtSKa1YDiaPcBqm4IUrn9D8WEUDBSebLDx9CsFCBYePvLxFFAenAa3c6gqDqqYTPz6r9ExiF9U6exsgPEUYiiqri1deLQR0qJopukBw6RHpiiMnshqbh23kt1dw0pY3TNptlcp+1XdmxPqxZu+WB2g2YIzJSKpgvCYOeYRygqRqGIAIJqpZPQSNgmztQRmtcuInQDc3gcc3AUd2EGLdPb11UIQa5/70R5bd3fEsLR9TSF/DRC3DsPrlfu2qO5G0xH2VYFVywLGcVJkCPlvfHMQ7YIQUKX3ut6kTE0KiGao1N4fAhVV4m9kLW3F8geLuKuN2kt1ckd7cevuribTfInBtAdgziI2LywTNgK6D87RuwngeTmhWWsYoo4jGkt10gNZ0FCa6VO5D68sJYlUqSVPJ5sYyspZBxT5d5YJfZ94sDHyBeJ/E7V8YFEqGI7mEMjKIaBDEPCWhXf3anKLmMor3hMnOrNQ80UdXrp+ammhT02hVEoYU9Oo/eVCBt1pJSkTjyOni9sVYIbly/gHDmRXK9OBnviEPWLb2P0DxLWa4T1Gs7UYRTLRjFNWjev0bj8Lvb4JM7hYwSbGyimib+2QlirYA6NkD71JLHvoRgmSg/tgm3HRQHbFjSbEkUBXYeHZa0+smBxyC7wV078LDGSuufzbnmFgmXTb6cYzWQ5v7bCm8uLTGbznOjr5+3VRa6XN2iHIePZHGutBm4YUgs8pnIFvChkoVEjkhJFwGg6y0a7xbXyBpamkzMthlMZHF3H0j74vilSSmburBNLyeHDA6TTVjc7ufeEitviam1py2cxrzsczgw8VL9QO/T55tIV/tj4k6R7KI/uFwutKq+t3abZo1fmTN84/Vb63gv+vsiw17aPOwUeL4zw8totNr3tdJEYycXKIt9eusoXp86Q0kz6HJvnnISWmgSLbNmlSClpBgHzlSrjufc/2DBVnU8OHedydamr4Mz3lq/zfP80JTOFob63azuWkmu1FV5evYXbhQJsqzqHMwOcyN1TrGy2fW4tbeBYOgLB4nqVp48fjN79lYcB57sAAQAASURBVIWL/PHJs+QN+75zePBK10q7zhvrM2x43SlBJ/PDjKcKH4ieOE1ReKK0P+XPY7nBrc+HM4l68niqb9s0o04eYMsWZWvebHK+rtdWaTxAw45kzA9Wb3AyP8yLQ8d6Kqe+XwjjmJmNCleX1zA0DUUIJh+gSv8YHxz0FRSeOWNQ7FOYX4w4fcrE8zwWlqIt9lulPkPlgf6ktldmYe3NHcurNRe2qo33o9F2abQPRn+9C0UVW0baMo6ozV8BoDp3CYDViy8BkOofp72xgJlNhKnaG4sYmQL15dvIKGQvL7hMn7GnrH67HrJcXqAZRKjCwI9axER4UXfhMEhops1K78G0biqJQbya2EzsB1Hos/Tut1B0k8Of+DOYmRLtyhL1lVvc3c+jn/4LCKEgVJ3+ox/m1vf+OW59gwePQ3b4GGYqz+rVl2lXV7bRHjPWAE1vHbfZuz+tUQl3pewJIbAzGk5Oo7a+8x0kNB2jNEjse9QvJX2xMggIa+WtA6LoOloqQ3v2Ft7aMvbYVO/1KVAa3X3MEkWS6uq9YNGycqScQZqtVaIoCRAfhp5pZ3XMuxRYRUHvKyGjKKkuGSZCUYjdNkF582CCPvdBMxSyexjLy1hS3wzIHS0x+VMnWHllhrFfeJz6bBnN1hn+6CFu/asLjP3EEW7/q4tkJgtMfP4EG+cWGXphCr/qUr2xzvjnjrP2+jzNxSoyjFE0heLpIZZfCel/dozazQ2ay+/N3y/AR6AQE7MRLaE8MDJWTAvVSeGtLW8xI+L7GBJCS9RP08dP4S4voFoOzuFjrH/tD3asK5awubh7tJQbMHsmjcJGjerbr5E6cYrqm6/gLSXPOnNkDL1QpH7+LbylefIvfAJzcGRr+xTbRhgGaiqdKN76HmFlk+Y1DwlknzyLXrrnoiD9gNadG3iLiXaJYjsYpQGiRp3N730D+9BRsk+e3ePIguMInj6j89L3fRxb0NenMDv3cO0CjyzKUoTYoj2mNYsBO40k6WERQjCRLSR9TyQPj88dOrZVWVOEYDrXx8fH71UapnKFbb8DjHcoq34cMV+vMpzOcLI48Kh24ZEiDCM2Nhp4Xkg+75BKmRimxo3rKwwO5og6vRJ3xW0sS6fZ9Gi3fFLpxDtPNzRs26DRcBECwjCm0XCxbYNs1sYwtp++fivLydwo861N0pq15Xv5UNvf6Zt6aeU6Pzl68qEpbW4U8Luz77DYqnalEZqKxtniJP3mLh3HXaApKmf6JniyMMZ3l6/tWPZ8q8yXFy4wme7jw/2HMO8bND84+BZCkDYMTgzsbXlyP+5WNA/aBQbwyeFj/OHCBcpea4f35Exzg28sXmLcKTCVKT70sZdINrwGL63c4K2N7v0wo06Bjw8e3XZ8Wq5Pud7iZ144hWVoD0UjvFxd5ltLV/hj46fRld2FXnrBi0K+vniJm/U1oi4vbl1ReSI/ypjzaKjSHzT08n7VFY0Xh45zvrzApcrijrvqcnWZP5x/l0Ery+OFkZ5WLe8Fva59TVEYyKT45pWb5G0bQ1N/HCz+iKBn+whbta72GULTUQwzUVS8r6oxPKTSX1Ip5FWOHo5ZWolYW48edhz7vkBRBfnBvROW5Tvn0J0c7ZmEbq/bWdrlpX17L+YGjR1G5vdDymQAHrV18uYglpqm7icqkIZi4/YIGFu1gOpq7wqVqiuk8zqpvE59Yx/vbCmJgqSPECmJvDaaYWM4OQYf+9gWJVXTE+X4xJohJAp3Ch4JRSHVN4rfKoMQCZvnvmksPXkvK0IDJF7YIHpgXFFd9WiWg1372lN5nWzR6Bosyigk2FwnajWxx6dozdxEKCparoBiJUIeMkwCLr3QRxz6iXl9DyiKYGCqu1r6XTTLAfXNYOs69/06upHCkaVONVFSqx9cQCiV07BSyfNWxnFyTDUNNZPFHB5FsW28pUWCSgUessdXNxTyQ73vBymTHtLNFZ/8hycI2yF6xqIxV0HPWKy/s8j4Z49hD6RRdJX2aoPRTx0hDiL0jElruY5qaQhFIWz6rL0xR3MhCQir19cZfH6C9GgOzTbwqx7xe1QObcY1YhknlWX8He+U2HMJK2VkFG4lfe4XlhGqitB1WjO3cOfuoKUzpB9/CjWTRYYhcfteu4+MJMu3dtcKcTIauX6D+rrfuwD8gOytYljI+6yLYtdF0XXCehUtk0UxLcJ6FT3fR+S2iX0f58hxjNIQcbuF0T+EtzC71ZMZtZtE9XtBuFC1xPqqUxaUYdBd3OnuPjiCoSGFXFbh4x81ee2HPlNTGpYpmJ2L0HUYHVFBwOpqTKu19wP/fSvJPejLdjdIvB+9BkO9fr+7zEq7SdlrM5zKbPU8ftDg+yHnz88xN7vBsWNDPHVmklTKRNOSfXj3/BxRFON1uOFHjg6yvFzl+vVlhofy2I5BLucwNlbg5s1VNFWhUm1z+9Yqjz02wslTozuCRUg8CNc9nRW3yrjT954qLs3Q43+//n3GUgVO5Uf2PF8PIowj3lif4Q/mz1MLuhu1H8sO8nh+ZFv1slZpEQYRTtpExpJapYVuaGTzDpp+b+B7IjfIRwcOc6myyEoXmuKl6hL/7OZraIrKk4Wx91whvQspJW4UsO41KPstThcOLqo0YGX5/Ogp5pqbLLd3Zua+sniJESfPL0w8xYCdPXDAKKWkGrT5+uJlvrxwgVa0c7BiqzqnC6M837+dDmroKrZpcPHWEinbwDYNHpsa3DH/XvgH177HeKrAmeIEGsqBrsUwjnm3PM+XFi6w0uX4ABxKl3i8MErB3H1g8G8initN8mxpkvlmmWqXe+ullRukNBMhnuF4dhBbO7hvbTfEMqYZ+qx7iWfqsez268LSNT52bIrFSnI/FtP/9p2bPyqUPvQpNt96KZGVfyDaMwol0pPHqF55h7Bxr7/u4uWAdrvB+kZEFIFhCBrND4ZU+10oKuQGDExH3ZXuKOMYv1He+u43KwdaT/+YhZnqnVgJvJjGZkBajpK3hzE1h5gITTGJ44DF5pWu8zU2AzaX3F2DKTujMTTtUN/Yh5qsEGhmGrswjGrYKJqB19jEyBTRTIeVhcsoisbAiY8AEHptArdGqjSO30yW71bXiKMkKFo49zWyw0fJjZ5ARmFSfewk59ygRtYeIm31I+OI9cZNWn552+Y0ygHVdZ8wkOhG9/3LFnUKw+YOZUcZx4T1Gs1bVwlqFezRSVQ7hWJaGKUBZBxhDY/TmrmJt7JA5vQzCN0gajW69t9Ccr2Mn9xdO2LxemubKI+m2dRq8zSbK4RRElTf77u4XzhZDSevo+oCqRqJYE8cI4QgbNSJVpcJy5v7LyF3gWErDEx0V8QGQEK7EVFb9TGWaiBh9YezCCFozFVAQmO+ysTnj7P2xjxxGNNebaDaOhvvLBIHEa2lOnEQIYPtiSMZS2q3Nul/ZpTGfBVv872LNBrCpKD2A4JWXCMk2OazGLltwnp1q+cY2CZMFYcBUatF5tSTKIaBajuohok9cYjYdWndvHpv2lgyd7m5p2Df+Mk0SzdaxF6XZ6GUSM9DLyb3RLC5kSj5Th/FGBjs9N8W8FaWCDbXyT75DFGriTt7B+fwMeIggDhCy+QIamXc2duo6fR2ZVXJtrxO7LlEbhtrZBxzaBSjr9QzYWJZ8Pgpneee1Wk0JEKAYyucPatTKce8fQ6OHtH4qc/Z+EHMpcsh3/jm3tzUDz5/swuGUxmGUwerRN0PKSUxEjcKcaOAIIoIZYwkqXyqQkVTBJpQO76PB6dyhWHM4cMDOLbB/Pwmx45vV6lstXzW15MBVRBEDA/nGRstoKoKC/ObZHM2m5sNVlerWJZOupjGaPlMTBSZmCxhWd23KavbnOmb7PrbQZFQGFf57979Kv/vJz7LdLpEap8BVyv0uVxd4u9e+TaLrZ29VZBUFT83doqRVH7b3y+8eYdGrc3E4QFaDZe52+tkczaPn52if/jetLqi8cLAYa7WVvi9ufM7aJZBHPHq2i1qQZs/fejZpIJppQ88cL57vTQCj3rgUg3a3Kyv8YOVG5wrL/CVn/hLB1reXfzU2BO8sTHDt5eu0n5g21uhz7+49UMk8LnRU4w5eQxV21cVM4wj1r0G31q6yq/ffoPZ5uaOaVQhOJ4b5KfGHidrbH/xqIqCKgSXZ5NBZymffqhgcb5V4W+++xX+2hOf50RukIxu7StgbIcB1+sr/G/Xvs+16koPBVeVjw8e5Vj2g8kseL9hqjo/M/YEt+rrvLJ2a0fvqxeH/MH8u5T9Fl+YPMPj+RGKZhrzgLRmKSWhjLeu/Q2vydXaMj9YvUkUx/wvz//itunDKObG6iYXF1eQwEQhx3gh94GgCf+bjuyx09SunsMrr+0IFlXLIXfyLM3ZG9uCRYBcVqHdlkxPaYwMa7z2hsfs/MP3ID1qCCEwTIWhaZuZCz3onpqW2DgpCtLzQREIRQX17ncFdumPVFTon7S3qkLdUFnxaVYDTDXNpreAGTodRe0Hu+a3o1UL2Vjw8NvxPYriA0jldcZPprn++l7BoiT0mrQrS/RNPolmOpRnzuM3y0SBR9CqUpw+S+g1qcxdSqiUMmbx/DcpTj8NImF5LF/8Nn4zoLW5RBx6rF19hcGTH8NM9+G3qlviN+XmHNXW0tb9G3bzWYxgY96ltub37MvMD5qUxnf+JoMAd+EexTVYv0dV9te294H6bpuN73xld49FAZk+ncFDuyepZt6tb/OvC4I2ppkhkxnp7KtgZvY7uG5l1+U8CEUVFAZNUnmd2lqb9q2ddhTvCSJJLAxM9a6sRqFk5XaLyI/YeGeJwp8cYOgjh1AUwY3fOIeMYpa+e4tjf/Yst377XWQYs/HOIrmjJQaeG0eoCjN/cBm/0qYxXyV+QLV988Iyo588zNqb8/jVgwfUD8IWaRQ02rKOpaQIpU+Nja3fg8oG5bdf7r0ACXG7hTufXEdhUCWsVogDf4dNkIxh5VaLVi0kles9rj/6TI63vrJGL5ehxpUL2ONTWMOjVF5/mbCySev2dZxDR3AmD+NvrOHOzxI2akTNJsHmOu7CTKdfsYq3uoyeL2KNTaI5KWQYJqqmUhK1mgR6ZVvwKAMfb3EePZ+I68Seh7s4v42OexfZrMLxYxpf+7pHFMEv/5JDoxnz9tsBZ5/WMU3Bxz9msrwasbQU8eEPGf/mBosPAyklgYyp+m0qfpuy12K+VWahWWXTb9IMfYI4QhMKac0kpRtkdYuJVB9jqTyOZnQEdJyuVdIHceniAnfurFMopJJ1ByH1ukuj4dJsuui6iqomUt1SSu7cWcP3QyzLQEoo5FOsrta4cn2Rs88cYnKyn75CmrfeusMPX7vJs89NMzbWh+8FbC5XqKzXyZeyDE2WCGMXL66jCRNdSaGIg9HQFMTWAD2SMe9szvGfvvW7/MqR5znTN07WsMjqNprYXi26W3Uoey3Olef536+9xK3GOlGPB/uTfWO80H+Y/APBSq3cIo5jLp+bZXF2k4985iTtps/Gan1bsAiJ79znRk8x1yzzxvoMwQPUjhjJhcoi//2Fr/FcaYqfGD3J0Uw/Kc3E0Qw0RUUTCopIzkMkJbGMCWWMF4V4cZJQqPgtrtVWuVhe5EJlkdsdH0pHffiKTVa3+KXpD7HcqnG+PL+Djlr2W/wf13/AncYGPz32OIcz/eR0B0dLlGHvP/aRjHGjgJrvMt8q8/XFy3x18WLXnkhBUtn89PAJnitN7dwwkfR9CMAPYyqNNlLu6VcNJNeOvI/IdLW2wn/2zu/xy9Mf4tnSFH2mQ0a3MR6gpsYyphUmx/liZZF/evNVLlQWdwRBd3EiN8RHBg4zYD980uh+SBIblUjGxFISyZio83/c+bzuNWj3sO+QnWTCaruGIhRUkQTcSud/tXON3a0QP4rg6WR+hJ8Ze4I1t8612uoOqm4kY763cp0r1WU+PniUTwwdYyLVR0ozsFUdTVG3tiuWcmu/Qxkl134U0o4C1r06V6orXCwvcrGyxGK7ggCeLIzv2KZ2EHJubol/9yNnCaKI//2lN/jJU8fYh0f2j/E+QigqQtO63sRPP2mwvhGTzyocmda5dTtgbuGhW6reF6iGwtQTma7BoprLoDg2aCqKZRAsraH1dTxxLYOo2kBxLILFVaTfneaZKxmURi0Mq/e7cm22TW09IIp9dMXAVFOoQkve73HvQXMcweaSx8qdNhMnu4tOpfMaU0+k0U0l8YHrARlHtCvLbM4qNFduo2gGQtMRqoaMQ+bPfZU48FBUPVGANWwUIfDbVRbOfW3H4Hnujd/b+rx88Ts7t12GXRVQH8TSrRYbC27PYDFbSgI4M6XiNd+jxcouF6aqCY4+m9/VZzGOJdffqG4T24njgFZrHc+rb7ELox42X3uhf9wi329QWzuYOM5+oBsKpVGL/EDvpH0YxFuenWHT58o/eh3FUImDaKtaVbu1yRv/xde35onDmBu/9g6KriR9nJ32qBu/fm7bsrWUgVVKUb60SmupgXwIFdQd24uPJMYUDgoqAQdVYJHITnVRAKgqMopo3+keqHvtiJtv1jj9qWLPJR59JoeT05Ne3C67WL/wNvULb2/7W/v2Ddq3d65z86VvdP3cbRkA7ZlbXbcp2Fyn/P1v9dzmu4hjCEMo5BU8XxLHichNsaiQyShk0oJ2W6KrAlUIfv9L+wv439dgMYwjvDggjCMief8Q8mCwVeOhbSCklPhxxJrb4HZjg5dXb/HDtTtcr63i7beXQbc5lh3guf4pPj50mCE7S8lMb/VjdkMma6PrKp4XkM06uG7A3NwG5XKLpaUKubwNAizLoNnwsCyNcqWVBIy2jmXrFEtpcjkH09AIw4i5+U1abZ9C3kHv0DHXF8v8y7/7Vb7+qy/z2T/zUf7Dv/VLtMJ1ltvnMNUseWMCTXEwlQya0jsbdReqEBTNNIaiMd9K6CYxkuv1Vf6zt3+fp4vjPFOa5Km+cfoMB01RtwabzdDjWnWF763c4LX1W7i7SE8PWBl+cfo5JtJ9O6pl+VKKerVNvdYmDCI21+qoqrqNgno/nilOUj/k0ghcLleXdwRdQELJXLrMd1auMWLneCw/zHS6RN5wSOsmlqITyAg3CmhHAfXAZbldZbFVZbFdZaFVJnwIBbP7fc66XStn+sb5U4eeoRl63OjSm+dGAV+af5dXVm9xtjjBs6UppjMl8oaNKlQEEHWO/Wxzk7c3Z3lt7Q4LrXLPuy1nOHxm+DG+MHGmq49mIe3w08+fJI4lq5UGL527tW+fxT4rRVozudO4lxmcbW7y37z7ZU4XRnmmOMlTxXEGzAx6J1iJkbRCn5v1NV5evckra7d6KudCooD6CxNnOJUf2Xe/aBQnBsxax66mGXpsuE3cONgKkoI4Of+JV2nyfyv0aUU+7dBn02txodzdliCIY97anOMfXv8BjqpjawaOquNoBtb9n1UdXagoneqtgmDUyWOp+kMFkJ8dPUnFb/Frt19ntrnZNTGz6tb57Zm3+NL8u4yn+ngsP8SE00fOsElrJrqiEsiIdphc+1W/xVK7xmKrwkK7wmq73rVntBtURZC1TW6sJUbUadM4MH39x9g/VMtBS+c6CR4lUQz02tv69IQQZKYfI/bcTs/PdmyWY06fMvj6t9uUqzGN5j7e03fP6Y8ootQNhSNnc3z315d2DN6M6XEUQycs1xCmgT4yiHPmMdrvXgNVwT40jprLUP/my0TlatfB3/SZLKlC7+GQlLByp01t3SfwVxiwp8kaCauh7M5T99d7zguwuegyd7nB+GOprve5YasMH04xdiLF7XO7eLcJgWo6mPkSzdUZrL4hzNwAzY6FiNU3RGPpFk5xlMqdd0mPHCEKXMxsEb9RobFwAxnvHfwJoSTvrrtVPCESsRwhUFSdOA6Jw4C7B3P5Vpu1WZfDZyVql8yQqikMTtmMHnO49fb7502nGwpPfrp3EAAJLXjucn0bDdVxSqScARrN5S2Bm3gfx6kbBg/ZFEZMZi9tT2woqp4IucTB1rhACLH9cydp2UuMKZXXmD7TWwlWSgh9ye3z249x7O8x1hWAUIjvHhMh7p17RSTBoxBkJguUzoyw/tYC7dVHcx4bcSWxzRB9uLJJLd7Ye6b7N10IVDuFMTCEUARqKo3qpHoGi3EE7353gyc+2bc1/4MojlocOZultub3TN4IFNhKjXfuD0AROpEM9mUL9H6gVou5fCXgUy+arG/EzC9EDA6onDiukc0ojI2pfOs7Hn/8F2xcV2F9c3/b+ciDRSkljdCl7DdZcSvMt9ap+E1akU/8kOafzxaP8OHS8QPPF8mYqu9yobzIv5o9x3eXr9PsURnYDdWgzesbM7y+McM/v/kanxk5wRennuJYdoC0Zna92E6dGuXEiWEU5V5Aefjw7lS+KEq47YoicN2AK1cWOTTdz+hYgWzW5umnJzlzZgIh7pkHB15Iq+HiewFhmJz0jD6Kptgst9/havX3MZUsQ85T5I1DmOrulRhd0Xiqb5xPDR3nv7/4tW1KozGJjcEbG0m5XxUKWd3C1nS8MKTst7pSBh9EVrf4xUPPcbY4id2F4nvyqUmuX1xgeKyPZz96jJmbq6SzJoOj3YVMtA4lMYxj/snNV7haXcbvkQgI4oiZ5iYzXaiZ7xUylkRRjKIkwbOiCJoNF9MytoL7bvipscephx6/dut17jTWuwa7m36Try9d5utLlxGIreq3QNAOfRqh13W++yFIaMo/MfIYv3z4QxR6eIJ6Qcjcapm2G1BpuLh+2Hmh7dFjjOB4dpA/M/0h/vN3fp/VB/pIz5cXOF9egBskFjqd6m4QR1T8nUI/3ZDWTH5u/Ek+OniEtG4SRjFtL+i82wS6piBlsg+xlKhCQVMVyo02URwz1JdBV1UuVZb4P67/gBv1NdqdoNCPw4dMZyXPmqvVZa5We0vo34WhaDiagaPp2KrB33j653ksN4R2QAYAJPfrFyafJpKS37rzJrPNzZ7HsR0FXKutcK32/pn42rrGM5NjfO3SdaSET56YfijPyh9jf7BHpyg+/XFU20ExTEof/gwy8LclZoWSiFVULr1J2NpZmfvyN9p8/1WXel0yOKhSrcZdY0Chamh2KukpMyyidhO/trGluBkH3r1gVFG2+rXoIrhzUGiG4PDTWbJFfYdISrC0hnl8inBtE2NyBCWfIdyoEK5tog8PEK5sEMwuEjdaXcfgqiY49lyeTLE3SyT0YpZutKit+4T+Gu2wht3KIolph3Uiufu4YnPJY+ZCnWc+39+TiloYNnn6c/3MXW4Q+j2eRFIiQx/VMFG05N2paDqio+egaEbyHHQyaKaDkSmgGhZ+o4yeynUG/rtuKrqZRrcyBF4TVTeRcYREomoGqmZipgoE7TrN6hKRn/RL19Z85q82qG8Uela9hg87HD6TY+bdxrZA7VFBKFAas3jshfyu053/1sYO9VbXrWBZeVTVIIqT+6fRXCGKDu4z0D9pMzztcNkp47fuHWzH6ccw0rRa68SRjxAqqmYSxyEyjlA1Eykj4ijA83b26QsBuX6D4x/aRadDSprVkDu7JRy6QFgWWjFH7PoIJLEfomac5LsQiSdjyqJyq0z50qN5fwgUVHRUVPzYZYNFTMXBUtL4u1TqH4SMIvz1VYJqUtxQ0xmyT5xJqOddEvxxJLnwvTKtanjPkqcLPvLFIa7/sMrmsrczQaU6mGqKKPYJZRLbmGqKSAak9D6awSZu+P4lRXaD78M75wLOvxts2/3rN7Y/h//H/6mBqu7Kzt+GRxosxlKy5lb57upFvrL0FjfqyztogQ8DU9UPHCwGccRCq8KX5y/yL26+wZrXW9r6IKgGLv9y5h2+t3KD/+jEJ3hx+CgDVhqliwCJqh5MlOT+6VdWqlTKLaYOlSgWO4pkXcxfQj/Ed7e/PEPZphGs4IZVUtoAaX2YZrBKOywzlfnErttwl8746ZETrHkN/vGNl3dYU9w/bdlvUT5A/J3TbX5h4il+buJJij2ClaW5TWZurFKvJs3Tz3/qMY49vruIjKnqfGbkMVK6yT+98Qrnyws7bAXeb2ys1SiXm6QzFmEQYzsGl87NcvzxMUoD2a4ZV0gCpz85dRZdqPz6nde5UVvtGexCksuqhy71AzTgK52K8U+OnORXDn+YsVRvBdEgjFjeqFNrulimzmeeObava1kiqfhtPj54lP/b8U/wv179LmtuvWsAFsuYatDuKs7SCxnN5LOjp/jC5JktW4nVSoNbSxvYpk4USwbzafwo4sZChyZsGRTSFnNrVbwg4pOnD1PI2DQ6ldjFVmXf639U8OMQ3w+pdO6bZug/dJAK4GgGf+rQs6R1k9+68ybXaqtdbVJ+FAiimDsbmwiSKu5bs4ucHtufnciPcXA0bl0hqFVwRqcY/NhP01q4TVArbzPJjqMAf3OVxp1rxP69Z4aqgq4JdC3JtqfTgiOHNG7cCqg80DonVA1neIrCyWdIjU2jpbJUrrzD6mtfw8jksQfGaC7cor06jzB0tP4i2kCRqFIjWFlDMQyiysNL7AuReC2e/Vw/3/7n26v74fIa4XKiANoub9/wcG3vpODgIYdDT2ax072HQ8u3W6zNtgl9iammiWVIPejuW9sNgRuzcLXJ7MU6R5/Nd50mldM5+UKBc9/c4Mab3SugCAXNzqBoJkYqTxwGBM0qRqaPoFnDr5cxsiW8RhlnaAoZBbTW1lF0Hbeytl1EoweyQ0dx8sM0N2axs4PEcUhjYy4JaHQTVbfRDIcwaNMO/a0q9p3zdRauNsmVjKR/9AHkBkyOPJPjwvc2Wbrx3oVRHoSVUvnonxjGdHqfx8CPefMrazuCcV13KFduU28sbAnbBEH3cc9e0HSFQ09lGX6lwsy79wIGRdGwnSK6kSaOQwQCw8wSxT5x5OOkBvG9Gq3mKkHQJn5AddZMqUw+kWHkaG//3MCPufV2jVbtYAkafagf57nHiRttpOcTbpQxj0wSVWr4N+fQJ0fQ+gs0v/8mwdL6I2EU6MKgoDpYIrWV3LJECk+2qcW7V+q3QVHR8gWskWSMqJgWQtd39bKsrvmc++YGz3+hdwHn6DN5HvtogTe+tIrX2r6sknOItFGi5ZcJY4+av4Kt52n6d6uif/QZ0v0Q4fYbKMIjDhbXvBr/y/Uv89LaZdpd1Bd/VAjiiJv1df75zR/yf86807Nn7kEklLb9kWXX3Ab/5Ttf4lL1af7isY8w7OQe2uKgGyYnS0xOlvacLrgvWJQywo8alP1bVPxZStZxUvoAmjCJZUQz3DsjFHf6OlOayS8eehZDUfknN15h1d0/Fa0bFCEoGmm+OHmGX5x+jtIuhuEzN1Y48tgwRx8fRVVVVG1/x1VXVD42cIRhO8dv3H6dby9fY8Nr4j8knWQ3CCClmQxY9yq13/7Ku2ys1ykUE/qwBNotn6P74PUrQuGPTz3NkJPln918lfObC9QDd1+V2r1gqToTqT7+2PgTfHHyafLG7s3/2ZTFx586fOD1SGDTayKE4E8eegZdUfmH115isVV9T0kjBUHecPipscf5pekPMZm+50c4u1Ym45gcGSlxaXaZcrON6wUsl+s8OT2CrikEYcTEQJ6W65N1Ho0i7gcNpqrxCxNnmEz18Wu3X+eN9RnKfpvwfaDCqEKQ1iyK1s5kj5QSN4jQVRVVURjK9r7Pf4xHABnjrS3irS2SP/Us5XOv0lq8va+RQi6rMNCvcvyITn9RQVUFjz9m8Gv/ssHMA15cVv8IpTMfR8/kqN+5ilW8LwEgFKyBceI4or06jz4xQuq5p1AyKYKZRRTHxjg0Ru0P9u632Q2GpfL8FwZ5/UtrNMqPJhmiGYIP/9wAfSNmzwq4jCW33qmxPp8EEcOpY7TDGiutg4mXrNxqcekHZaZOZ7v6OQoB/ZMWn/6VUTbm2pRXuoyhZIxbXsYt32MwuOXlrcH7/Z8fWDp7+Uzehd+qEHoNVN0mCl0Ct4lbXyOOI1L5YQK3ThS4RIHH/YPiucsNbr9TZ/rJLHZ259BSCDh0OsPTny3xjYV5vPajU91VNcH4yQwf/vndBc9mL9S5fa625a94F2HoYugpBgee6rgiKMzPv4zn7UOdtgsOn8ly+EyWpetNfDfZzyBo0WwmAj6mmUVKSau1hqaaqJqB297EbZfxvTrigbGkUGBwyua5nxl40I9+C1JK3GbEuW8dINDqQC3liKp1CGPiVhthmUS1OlG5hr+0CrpGuLpBWKk/Muq5ikYsY2pyk7DTF+soDymYE8cJLVpC1GzSuPzu7pNHkpd+Y4mnP1fCdLpbewkFPv8Xx1m51eL2ue205XZQwwsbBLGLpWVQFQNNMTBUB12xDqwT8q8D9h0sBnFII2yR0uyk5KoY2w5wEIf86p3v8fL61a1AUSAwVQ1T0VE6fN6HgaPuf4AXyZjb9Q3+yfVX+Z3Zczsej4KEBmZrOoaioXcETlRFwVI1IinxoqSPKYxjAhnhRyGtKNghthEDv3H7LcI45i+dfJEBK/Mj788J/BDfS16cftxiuf02S623iaRPxUsaZXPGBCfyP4et7e1HF0tJPUhkvu1OxeJwpp+/d+U73G6sUw+8AwWNihCkNJMxp8CfO/oCLw4e21NRNVtIsbFWh4uLGKbG0GiBfHF/g04hBEezA/zlU5/hIwNH+O2Zt7hYWaQeuHhR+J6CL0UILEXH1nTyhsMLA9P85PDJrd9HJ4scPj6c9KnmHCrlJmEQoar7d2L86MARjmYG+K2Zt/jm4mUW21VaoX/gQF3p3HsFw+Hp4gT/ztRZzhYnIIYojDr9EdtaUohjudWwrnexZdkPqkGbuOOn+oXJM0ynS/zPV77N1doKVb+9L6rp/fvgaAYjTo4/dehZPjtycgd1djCf5vriBm0/QBWCzVqLRtsj65ikLB2BQFMUYilpeQH1tkc+vYvs+L/GUITgmdIUR7ODfGPpMr8/d55b9XUaYXLtv5dXvCYUrE4v5pCd5aMDR/j08E62h6IoFNMOa/UmAii39l85/jHeG+o3LhC1G/uNCajVYjxPcvyIzvlLAWtrEfVGTLmy8x5NTxwFIVj+/h/SmL3K4Ed+Cs1JeqfCVh0Zh2hOkjhTM2nC9TLBu1fQR4YSKuojGF8qqmBo2uHFPzPCV/+3uV2FYPYDocCRszme+FSRVL63MmKrHnLjzSqbi52KU+whZYwqtK3WGvmg1n0XNCoh135Y5eRH6xw5m+3eu2ipHH8ux+f+vQn+4O/NUN8M9j5227wNek3ceyFCAdNR8dsxcSSpr93uOW1t9WbP30JfcuXVMtNnMpx4odDVnzdbMnjyU0WWbrQ4/+2N3nTbA0AoUBq3+Nm/NImV2qWq6MV84/+3gO/tXKfnVZmdf2nru2UVHrqyCJAu6Dz56SJLN5pcfa1KHEnarXXarYMHcgDZosETnyxy+OneFNQ4go0Fl0svlXtO0wvt1y/s+rt3tfc18bBwZYtyXN1WnvGi5sEDLRkTNuuE12vIMAAhdvXhTOaBOxfqvP21dT70c4NAd02G0rjNz/3lQ/zW37zJwrUmUUcUqeze8+CseUkRpu4liYCqt3Sw7b8PQoBmJrHS3STDBwX7HhHebMzxndXX+MTAczTCJqdzxzGUe6IMNxsr/GDtCo1OCd9QNAatPE8VpjiaGSGvO6i7mENHMkYgdgRbUkqmUvuTx5dSstqu87tz5/ndufPbHo93B54lK8Vj+WGeK00ynSky4fRRtFJbkvKys5x26LPi1pltbnKjts7Lq7e4WV+n6rd32Bz8y5l3mEwV+NPTz5LpGOEGfki74RJHMXbawjD1bdQMt+URhe/9YmhUW7jNJDg31QwT6Y+R1oep+HcYdT5EI1ym4t1m744ztvbfixMlREvT0RWV5/unOV0Y5Xdnz/EH8++y0KrgRQF+nFiOxDLeWr4QAk0oGIqGqWoMWBk+PfwYX5h8igEru69gujiQZfbmKgt31gmCRPBnv8HiXaQ0k08OH+e5/inOb87zlcVLnNucZ7NTaQw62x7JGHmf9LlC0mOqdPbjrlqqqWoUzTSnC2OcLY7zkYHD5B6o0L3w4mNJsCXuNU0/+H0/GLSz/EcnXuTzI6f46uIlvrdynaV2NbF5iaMdglECsaW4qSsqpqrRZ6R4qm+cz42e4kxxHEvVCfyQykYDzw2wHZMojhEysW5xUia1SgvfC1E1hUPHH4466HdUNK3O/fRUcZy/9+E/zZfmL/B7s+eYaW7SjvzOObh37QBbx1xXVExFp2Sl+fjgEX5h4gwTqb4d3q0AU4N9TA70bfUs3i8WcD+klJycGNz6u63qDNm5PUSL7m7Z+5sAshTtka4hZ9h8cfJpPj18gtfWbvONpStcrixRDdr4UUggY8I4Iu5cQ1v3bufaV0ViG6QpyfVvqzrDdo7TfWM8W5zk6eIE6R6CY1Ecs9FooigCR9cZzfcWY/gxHi3WX/vmgaYPIwhbkm9+t43vS/wAohiqtZ33hGanCZs1/NpO8QkZRSBlYhwNyDBKBmwpB8U2UWwr+dsjgG4qfPrPjrJ4rcm7390keMgB1d1Kzef//Qn6x63eVUUpufJqhcVrrS1rPC9skjFKKELDi5OAoh3UcKO9e5QWrjZ540urjB5P4WS6D7+cnM6zPzOAqgm+/A/mqK5625Q7HwkEGKaC6ajkhwxOfayPN/5wLamevodV3T5f59L3y4weT5Pr794DOv5Ymhd/aYRWLeTmW7X3FPQrKhTHLP7YX5rkyNnegZSUkuuvV7j4vc17Ii4daJpFHIeoakd/QsLgwGmWV9556MoiwNFnc1RWh6hvBizeaO1Y737hZDVOfbzAJ39xZNfrtF0Pef331z5wQUYvJIZk249JREi0D/Xd+6E6KayJKeJmE3dpHjWVJnv6aTa//+1dGRYyhi///VlOvFAgP9C7X/noMzn+xH9ymN/9H+8wd7mB2+qukPpeoOoC01HJ9OlMPZHBbUW8++3NHRXwP0rsO1h8Y/MCTxUew4t87jQXOJGZxlDuZeNeXrtCPUyyyKpQeKF0nD9/+DOMOSWklCgdGfkwjjoDknufNaEw3yrjaCZ9RopQRluB491+uUjGe9I8vTjktfUZfuvO28T3Zdh0RWUiVeCnxx/nCxNPMez0HsDcDXhSusm0bjKdKfHi0DH+/NHnudPY4J/ceI1vLF5lw2tuu9D/t2sv83RxgqeKY+hC5eqbt/n6r/6ARrXFi194jrOfPoWTuVfReOUP32Hx1mqXLTgYFm6tsL64vS9DyhgvqlH1Z2iFGwRxC/YdLibVxXbkY3Ua6IUQpHWLX5x+jj9x6BnOl+d5a2OWa7VVFpoV6qGLFwVoikpatxixsxzODHCmOM6ZwjiOZuwrWIqjmCiWTEz3MzpRRErJ7WvLGObBfS7vIqWZPD9wmA8PTFP3Xa5UV7hcXeJ2Y53ldo0Nr0nrrm2K0qmeqDpZ3WbIzjLmFBhPFzicLjGVKbFXffzBXo1uvRv7xeFsP/9B9hP8yuEPc7W2wrnyPDdqayy2ypT99lZfmqlq5HWHITvLVLrIqfwIJ/PDO6i+q4sVzr92E9+P6OvPYKcMLr89i2npjE6VuHN9hVNPT2KnHp6qKYFW6G0Fi8n26Xxh8gw/N/EklyqLvLRyk7c35hJqMxF+HKGikNZNhuws05kSTxbGONM3nljVCJFU9R94BiSS9Z1MIgqKFNt+u3+bxAN/f640xXOlqa69xlvLliFBHGCrNnffDpJ71jJ3SesKCrGMt6q1d39P/o9RSHxI9l9fBinbEFfhQRqp0EDJI8Te5yhvOHx29BQ/OXqSdbfB5cosVyrXudNYZcWNqQSCduQTxfFWUOhoBjnDZtjOMeYUmEj3cThTYtTJo3QUEuMoxmv56KbWUUlMgnQZx+hS8JNHDmM6xoF7tn+M9w7FMBMrBUWh2/M+bDV2GII//aRBuRKzshZx5rTBpav+joAxDnxUy0E17R3LVW0HoWnEXtKHFq6sY4yPkH7hLMLQEZZJ67V3Hsn+CSGw0ip/5r86xm/+Nzc4/51N2vWQgxAvdFOhf9Lmi391mumnsmh67+u0WQ05940NVm7f67EzVJuU0UfKuEeHX2newG3vHSy6zYjLL1cYO7HG818Y7LluJ6vxoZ8bZOiww1f/4Ry3z9Vwm9F7qsRpukAzFXRTwc5oHHk6y5OfKXLsuTxWSuXmmzU2Ftz3xDKMAsk739xg+IjDh352EK2LhYVQBEefyfHzf+UQX/8/5rj0gzJeM9pXj9W9hSTV0KFDNj/zf5/iiU/07Tp5qxryr/72na7JhcGBp2i31xnoP42iqCAljjPA+saV9xQsKorgmc/3o6rwrX+6wPzVDiV1n8dXKEmF8vSnivzMfzhJqtB7HBRHktWZNq/8zt4Ca/8mQagaWr6AOTSK9FwUJ4Vq2ajp/SUpV2dc/vB/meWLf/VQTzoqJAyEP/c/nOBr/2ied7+zQX3Dx3fjAz137oeiCnRToBkKVkpl6LDDE5/o49TH+iiNWXz315a4+N3NBx/Vf6TYd7CY1mw2vAqmqlMPW4gHbCNu1JfwOvTTMafI/2X6UxxOD3G5usxcc5M+M0XesLnd2MAQKiUrzapbx9FMxlJ5ZptlhuwsURxztbaMoxn0GSne3pxDFYIXh47T10MQBZLB3a36Ol+Zv0jVv0d9MhWVZ0qT/JVTn+LxwsjDHCMgeUkdypT4L8/8NJ8bfYz//O0vMdesbNEaG6HHr91+k0OZIkUzxa//7S/xzkuXCf2IG+dmGZ7u58jpya3lfes3X+X1r+/Oq35Y5I1JYhmw1H4HU80y4jzbkfndP+6nCyaVtwiBiiokZ4uTnC1O7jL3PWxV7XpUfO5Ho96mvN5gYXaDjdUaYRAxe3ONj3zmFCMTu8th7wWBIGvYPNc/xXP9U9u3T3a27z6v38CP0I2kEq4ogjiWKDIJBsIgIowibNtAxh36Qme34lhuU8D1w4ia66IqClnL7Fodux8118MNgm0vbE1ROJUb4enixK7ztvyApu8Tx5LIhxW/gaIIUoaOYxgIkUiYm6pC/3CO0mAO3w0QQmFjtUpxMEuuL0Vl472JQfWimqpC4YnCGHdqVV4PF/lo/3H+wvEPUzB376EEuFReZtjJbvNVdGOPW405LNXE0Sx0oW8lme4mcqJO9dhQ9M61mPho3vWpLOjdDeMDGXKrOcetxhzPF88QyhBd0QiiEE3RaEcuac2hGjTI62k2/RoZ3SGIQyzFoh41yGgpvMin39x9INMNsfcDotrfREZzJIT35JgKdRot/98ijGf2vSyBoN/KUOxr8mHjd5B9d9BSfx7V+SV6NsD0QBTGrC5sMnttmYljSfU5k3Oobjbx3YB6pcnmSo2Tz00zMFJ4T8mSH+NgUC2bwlMfITV5FC2VTfqeHjj8c7/7T/DWttOkbtwO+eU/kebQlMZ3v+9SLu+8f931JZzhKbKHTxH5LopmoGgaejpPamwaxbBw15Plhqvr1L/1A9rnLiEMnXBtI1EifQjcTe7IOBlgQfIOsTMav/zfHOf1L63yjX88z+aSR+DFREHcdYClqKAZCoal8NhHCnzuL04wNO2gar2vzyiMefur69w5X9tW2VtsXmaxefmh9gfYGtQPHXY4fCa7tV8PQjcTu5Dxx9JcebXMD39/jVvv1PBbEVEoiaKkbeDuu+Iuu6LjKY+qChRNoKgCw1YZPZasb/pMlomTGQxb2eV9fP/f92JYbEvHsT7n8vqX1iiN2Rx9Ntd1/4QimHoiw5/460d48ytrvPqvVlifdwn83udQKElvomYoCc3zM0U+/WdH6RvuTTmUUhJ6kj/8+7MsXGt0DYQXFl8lkxljYfFVms1VYhkyPHSWIDjYNXt3LCG4lyRWNcHZzw8wOO3w/d9c4uL3yjTKAaEfE4Vyx/Yk72iBbioUxyye/4UhXvjCIHaPKvTd9dbWA77zLxZxXRXF0LkbxcRBgGIYgCAOfZASRTcSm4zAQyhK8pxQFGQYdrXW6QWh3HfNKfeuPSFA1ZVdVbAVVWBYKoadqJdvXceycxzj/bVGyjgmdl1kECA0HcU0iX2Pymsv7U/hBXjpN5c4/HSWs58tJRTQHhteGDb5k3/9MM//wgCv/8Eal35QprbmJ+cySvwMie8xdVDuHQ9FSe5FVU0SNsURk6nTGQ6fyTL5RIb8oNmVtn0/VENB1RVCL0K3VOJIEgUxuqUStCOMlJb4tiMJvZjAjdBNFQQE7ShhEzgqcZj8flDsGSzerf59euh5frjxLo2wxeeGPoqtbr9B1/36lojFR/sfo2QmnPyK32IsVWA63c9Sq4KlaCy2qtxqrPP8wDSH0/0oQnCnvkEQRUhN4kcRphLTb2U4nOlHwp6iHKGMuV5d45X7+PaqEJzuG+Wvnf4sR7P9Bz44vfD8wDT/w7Nf4D969TdYvc/0/BtLV/jzR5+nYDodCmpytdfLTcK9fG4eIYK4TSvaRBLRDjdZd6+QNUYfallSSmIC6v510vohmuEcWeMY0L1SImVy/twoJIxj3DDAj2L6nRSOrm/NEUu5FUje9at00ha6rjF3e42JQ/2UhnJksg7Z/N7BxMMiimIaNZcgiNB0lUatjWFo3LqxwpETw7gtn75ShmqlRTptoqgKjYbL1YuLnHn2EO2Wh2UbaFoSWFYrLYZG8lsPyh/OzPP/+YOvM9VX4L//+c/Rn+md8AD4X7/3Kr9/4QrVdtIbGsWSo/1F/pPPvsgL07sHi1++eJV/8IPXWa7ViWJJFMcMZjP8+efP8mc/dAZFUdANnXwxxeTRIWzHoDiY3XrXb9E432fmwx+bPEWMZLG1PWt71wheklhe2KoOAtwo5PdmLvLRoUOYatIzqguFW405ZloLTKXGaHttykENFZWU5rDirtEIm6S0FJGMKJkFYim52ZghIkITKkNWPx8tPYshdmZsYxmjoWIqBq9uvIOuaOhCo2jmuVi9gUTymcEXuNG4QywljbBFLCNSnQCyEtSYdEY4kpmkn51eontBKEMoxgvE0R2QVWQ4D/Lh1SQBZDgH4W2IFpHhHZA+iL29V+9HbbPBOy9dpd3yuXFhniiKeeK5w7zz8jXOfOw4fjtgfbnChddu8MJnT2OnD7b8H+PhUXzmRQpPvYC3tkR74XbXgV/s7RSQGCipuK7kzkxEylFIpxTWN7cPJup3LmP2DVA49SFyJ86iqBogsQcSBcLNC6/RnEsEX4RpIBSFYOHRVDl8N2Zz3mXwsLM1oLo7qP7Qzw7wzOf7ufSDMpe+X2bmQp3yskfoyy1vWEUTFEdNDp/Jcvaz/Yw9lu4qMHM/ZCyZv9rkh3+wyurMQ4pu7II75+t8+e/P8sW/Os3wYadnwAhJBe3JT5U4/WKRVi3kzrt1Fq832VzyqG8EBF5MHEtMW8V0FAxbxUpp9I2Y9E/YiUn8oImiin3Z2KhCQ1PszqBZEMU+itCQxKiKThwHne/J6D6WEarQiGSEHyUspquvVsgWdbIlncFDvfcv12/wyT8zyrM/M8CNN6pc/kGZ2UsNKitep4qavJwUTZAu6Iweczj2bJ7HP9FHYWh3doWUkiiQvPmVNb79zxZ2rdLU6/Pbvq9vXN5SRd0v4hgqKx6GqZDuu9eiJQSMn0jzJ//6EVZ+qcXlH5S5/kaVpZttWtVga5wolCQJMnrM4eRH+nj8430UhvfeR7cZceGlTd76Rp2+J59HtRyidgtUlerlt+g7/Xyyj7cu4VfW6XvqBVQnQ/Ximxj5Amo6h+akaS/O0Lh9BRmFWwHr/UHg3TGCoiSJDDOlYqVV7JSGlVaT7ykNK6Vy6KlM16ryXRRHLZ75qX7GTqRwmxFeM8Lt/Es+h3itmNBPbHzuJfU7Y9Io6UGNo5igvEH1rVdBCOLmQ/SZSvi1//I62aLB0WdzaMbuRY2JkxkmTmb4WTdi4XqT+StN1mZdqms+bjMiDmNUQ8G0leSeTKlk+w36xyz6x236RkzMlHZgS6mpZ4qMnS5w7bsrnPnCBGs36yxdqnDyM8O88duzfPiXDpEdtJJ+zDc2eOf35jjxqWHsnM4r//QWVkbnhT87zeKlCle+dXD7kz2DxRuNGWzVZt0r89HS06id5tMH6Xhu6G9RP8ecIlbHP09XVBzVQBWC+XaFTb+FqiiMmnmuVlfYcJsM2VkWWhWqQRtFCNK6ST3w2PSahHFExW9T9du7ViBW2jXOVxa2GcGPOHl+fuLJRxoo3sWTfaP84vSz/P2r39+iA3pRyCtrt5lIF/jQ555kY7lCvdzkuc8+Sb6/u7+hpqs4GQvtIQVFfC+gXfeI7usJqQXzbLhXKZiHCaWbcMP3aaq+EzHtcJG5+u+Q0Y8QxDWyxlG6ZRmllNR9n6/eus7vXb/CuZVl6r6HBP7OT/wUP3noCI6eXBcN32emVsGPIg7nC+RMC01T0TSVD33iBIqqoKoKTsp8TzTUvVDZbHL+rRkOHxvCsnUuX1zA90I0TcH3Qq5cXAAhGJvo48qFeXIFh7HJEoEf8u2vXsCydVRVIZu3cVsBQoGBoWxCZwEuLC5TbXu8NbeIuw+/sRemJ7F1ndVGkxtrG1xb3X9D/Imhfv74U6dYrNaZLVe4srJd2n1ovI+h8e1Vrvurot2+/6gQy5ivL1zjO4s3qAYuY6kcv3z0GUxF4/dmL/Dd5ZtcrqzQb1/gl488w9nSGLqiIRAEsU8zbGMqJlEcstBeJohDTMVMfBYVlQGziN6hzd+lhw5ZA+hK9/tOEypZPU1ez1AOasQyJm9mmUqNUQ3qZLQUtaBBJahT0LOYik5WL5DRUjiqxXR6HD/2mU6NP9TxUIzHUYzHt76Htf+WqPWbD7WsuxDaUYR+BpQBhPEUKAcP5BRVQTM0VC9k8ugQmqGxeGeNfDFNaSjPtfOzDE+VKPRn8f2QfzOlhD6YyBw+RfXyW6y+9OVtFhl7wfMkv/m7TTY2Ih5/zMDrQnWMfY+1N75Na3mO3NHTmH0DgMDbXKF6/RzNuRtbwal16ihaf5H6V7/33ndKQmXZ4x/+5cv8+3/vJP0T9rb3mBACzRCc/mSR059M2CdRKGnVAnw3RtMVnKyGZoh9v//uVmq+8Y8XuPPu++OVFkdw7YcVfuf/e5tf+H8dYmiXgOouhCJI5XVOfSyhq71fsLQsQ5kTRDJAUwxq7jIpo0TVXURTLdygiqqYZM0BpIRI+ihCpeot40fJYF1KeOtr6+i2ymf/wjilcatn5UQIyBR0zvxEiTM/UUqWGcS0GyGhH6OoCVWvlz9lN9wNFC99v8yv/hfXD0znO2hVEUBGkm/+kwWyRZ2P/clhnJy27ZpTVMHw4RTDh1N86s+OEccS341xGwmN2nBUrJTa02Jrx/qkJPQlM+cb/P7/NINER0tlqV07jz00jpZKkzt6mqBRJaiXKZz+MEvf+G2ql9/GGhwnNXkU4oj26iKVxTsMfPRztOZvEkUhh5/O8aGfHSA3YGCnVax0EhBaKRXL0VC0/SUeeqE0ZlHaw1JJxpIwkJ0AMkyCyUZEuxmxNtvm9d9f5fb5eqKE6naed4qCouvIOEYG+1dM9lox//ivXuHP/a0THHk6u2uF8S50S2XqiSxTT/xo+vJDLyLyI+y8gZ3VcXI6mq7i1gMqiy2++T9fQUaSoeM5Pv5/Pcprv3qbuXc2+eR/cBxVT5JI/YczfPcfXHuo9e8ZofhxyOXaRZbddVRF2TKOPp45hC7uze5oJioKEXGiftoZcT5bmtqa5uODR7eUEoUQHSWxhDZ2JHtPxOb+v0+lkxfAXidu3WtyvXavB1AAU+k+Pjt6svdM3KW5xIiHkLr9xeln+NVbr2/zNDu/ucDPTTzBn/h/fJ5PfPFZfC9kYKwP0+reQPv480f5d//zL3L86UMHXj/Am9+6yD/9G7/D1Tfvr6iaZI0xHK3EYusNbDXfoZEePCAVQsXRxpjIfIGUPoUitK6UVgmstVr8te98je/N3iGI413FujfdFv/pd77BudVl/utPfIafP3aCtGEipWRxdpNs3iFfTNGouzixxEmbDxns7g5VU+grZRgazXP7+gqVzSa5vIPvBbSaHpsbDYaG81Q2m0Sx5Na1FYqlDGsrVfqKGTw3IJ2xuHFlmQ9/7ChvvnZ7G33i2ckx/vDSNU4ODZAy9g56P3Zkio8dmQLgSxeu8ve+9+q+9+XU8CCnhhPfoDdnF/h733uVm+sHV0b7o8BSq863F6/zK8ee5XC2xN8+/20ubC7xyeEj/MUTzzNTL/P58cf4xPA9S49jmUMczUwB96rc9/cRz7aWuN2YY8AqMmwNYKoGI/Z2saxeFT9N0RiwigxYxW1CQgAvlJ7e+j5sD/D65nls1eJ0/gRpzdkx/QcFinEaxfg7/3/2/jvMjuw870V/q/LOoXNu5DDAAJich0POMIoUKUpUsEUdiaIkB/lY17rHvvZxOLaP/djScZBly7JsWaKyxJw5nMTh5EHOuRM6d++cKq77R+1OQDfQjTCUfOZ9HqD3rl21qtaqtN4vvN8ttZFuTfDMpx5cijy7yivdu7n93dDTHxDUSJTG5OiGQskAXFfy8389wcmzDrl8wOT06jNr6blUhs9QGb5+CKa0XYKGDaqyrN7jzUUsCCUM2ypMO/zRP7nIZ359J4lW/brvAlUTJLJrC1Zc99ilpFHx+dZvj3Lq5ZsX0FkPPEdy6pU8Tj3gE7+6id6dMVTt+uF77wRiRhaJxPYq2AgMNR5G/hgtuH4NEFhaAl+6NNwKiqJiqBHkVekHniN58yvTSF/ygc/20dYfuSEhhqYipKHc0jl07YDTrxb43V89844JvmhGmNP9yl9MEU3qPPCxdszo2qRDUQRWVMXaAAlegJSSwJOMn6vy5//6IqVZBzWiEfgege8TeGF6CaqKdOpIzyN39FWS2/ehx9PY+RmEIpABePVKWHaiKXMG0LHJ4u73Zm/6HNwOCCXM69NNhUR25dxperjGpcMlho6XEYaB1dmDMEwC1yb7+NM4U+PMPffNDe2vnHP57b9zmk//39vZ/VimaZy4NVJ8O1EruDh1n7ZNMRplF81USPdEmB+t0b4twf0/PggSrLiGEQ3DT+tFlysn8mx+uJXAlYweyS0qum4UN2QPe9PbcAOXkdoEs43cosDE1ng/+rLNM0YMVVHwg4CSu7ZE/nI1zLXEJZYvXy9BKDp1xqtLYW0pI8LOVAeJq8o0hORw4WUokNLB8S5g6ntZyg1aEAfwm59Ztnzp5k8ZEfZn+3hx6vxiWY1LlTnsZqXLjr4b10mMJCI3XaYAwhIHxlVENGX0E9c7sP0SKb2XmN6BIm5+HwBuUGGk9HkMNUVv4qPAysmwHwT845ef4+XRMCzP0jRaIlGmq5VVFScHUxk2pTOcy81xcHKcR3r7iBsmvhcwcnGazt4MVszgwqlx2rvSZFriiHVa3DaCTDZOJhsKwezc08vOPb2LoZhCEWzb2bWUi9CcHAtFMLilfSlkc9mkedOWjhWeuXv7e/jqL/70bT/u/9UwXisyWi3wb469EIafAnszXYs1UhennFd5yK8mZMu/D0S7GYh2r/n7enG9fURUkyfa7r/lffxVwgrv818Cr/S7CGHPz6AnMwhN2xBhfOwhi4vDLoViwI6tOvP5gKkZf2XOkFBoxoCt3sjCPSklfrmC1t1B5J49eDM5kJKgVsO/ScOVogishMqFQ0X++6+e4TO/votEi37DHJ+NQgaSWtnna78xzFtfn9lwYfMVWDYe4ffmf1eNX+BJzr1V4Pf+/lk++Ev93PuBNjRdvOMGlyBYMrPNVC8yU71+DcmFcgEAKbMTXTFRhIoiVIJlolyeI3njK9OU8y4f+oV+BvbGm+Gwt79/C+/jRs3nlT+f5Ev/z9A7LhBixVQqBZdv/fYogZQ89LF2zNjawik3gwWv6eipCn/8f11g4kLTCyoJ73sZIAOfwGlQvnCClnufQLViNGYnkL6LFk+CIpC+v6hkDBLpeyuE4f6qQKgaajyM3DO7esh/77tEBjYjdH1D3kWARsXnv/9/zvD+n+/jvZ/uIZ7WQVk/D7kdkMtStJajVrCRvqR9e5LRozlSnRG6d6c5/dwkXTtS1OYcvv+7F+g/kOWJz24DoF5yuPjaLI/+zBYKk3UOfWHkpo/rhgxCILg3exetZoa+aCeKaCr/XTUr2Jro4nB+CCfwGKpMU/Nt4pr1jg1yzXMWlVMB4ppJTzR9zXpBUKDaeBGExNA2o4gkrnseU99JwzmO7Z7B1HeiKAnq9ttYxj4goOEcwdB3EzHuZ/mMaEuyle9PX8RtEtCZenlDhbCjceuWyaJprbS6eLLBleoblN0JeqL3owj9FsJQQUqfmjvBYPJTTFS/TSA9FMKchYU2Xxy+zCtjI3hBwEe37eRXHniE/mSKp//49xgqrj5J2NXSxuvjo5ybn6PQDCO4eHqCQ69coNFwiSct2rvTbNvdg7JOZcXlD7ub7e9qoZniRpPjVX7/y4NQ1GU148zyUhNrlZ24rUci5aLojN+sZRpISX8sTX8szc/ueJDtyVZ8KcPSDUJBEgrV2L7XVK1VF41OUnqERh2V0JjjExp2xLJlsrls4b5UgZUv8NAq7i7+LtYwrqxrvcUH/cKxXP3YXzBGhRblOzXe4bEuHMPVWLuPS9t6hMepNdtZOX4hFtaDsF8qVxeUfhfvDOYPfY/Opz6OXZyncvlMWHPsKkj/2neT7UpaW1QMXdDTrWHo9jWcMLFpNzLwqI5fRrori8Wr0TiRth78Ro369BhqMoG1bXDlPi4MU/7u97kZKM3wy9yEzYW3i/zGZ07w6X+1g96dMRT11u+fBUGNubEGX/2NYU68lMOu3QLLEAK9oxUlGcOdnCWo1NDasqiZFO7kDEHpKgExCVOX6/z5v7zE+TcLvP8zC164O/8slkFIFKcu1UJV2ZvgCkV7iqK9dn5q4MOJF3PMjTZ478/0cN+H2poE6vb0b+G95XuSubE6X/y1YY6/eG2JFwChqbetjMtqsGIauqmQn7L52m8MU5p1ePzHu0i1G7fc34V+Nqo+Z14t8MVfuxyWOmnCb9SYe/27ANizE4vLJ5//YmjsaTpwShdPrSr+Mv3y12/62H6QkK5DUK+ReugxnOlJnPw80a07Vn3WrQeBD9/+7THOvVHgh//uIJv2JdEt5bZdr6thwSEh/TAEfn7cvkZptV50sethGOro4RybHmyl+640E6cLIGDvh3v4+D/fj9vwmRsKnzEygHrBoVHxCLyAyqx908d4Q5aycIH2R7sWlQSPFc5xV3IrhrpEUh5q3c63Jg5Tcmu8MX+ej/XeT5uZesfmzp4MaARLlkBDUUka12bMSBzAI2o+RbXxHPHIh5B4BLJGtfE8hrYZ2z0GElLxnwM85ku/jqFtx3FPErlKhbDFjK7wltaW5W6uB9GEFUrQ3yQ0Q8O4iiyW3Qnq3jxt1l1UvVkkPllzK4KNhztAM6lZ6Fwu/hG+rDFS+jw98Q9gKJnFdb5+8TyO77OnrYN/+vhTtERuLErTk0wS0XSmKmVqTQvQzn19pLIxYgmLZDq6YUtXICWVhhOev9j6crIW1Fr9Zoi0skzpV0rZrEfXnN431UwXX1DNv2pT9koQelmvPuqr270dWHVsxLV+ranGDJcrI2yJD16zuh04NPwGKT2JE7jU/BppPbXmPjd0/MusYwvbNXyXXzv+EsdyE9Q9l7OFaT674yF2pzv5of7d/Lezr1Ow64Dk7+59kn3ZblShcH9rH39y6Qh/fvkov7TrEe5rC3MB/drv4Vf+B2rs0yjGY/j1PyVofBehZFGiP40a+RgEU/jVP8RvfAuEgRr5OGr0r4PawQK7D5xX8Ir/CKSLGvs0Wvxvrt4l7yJu7tMgG6ixv46W+NWruryQhV/Er/0pQeMFpHcJZBnQQWlB6FtRjAdRrA8h1F5Ydl8unlNx6x5K6Q/hl/8dQeNbK38QMdTYL6AlfnntbZ238Er/FygdaKl/RtB4Hr/2eyA9FOuDaIm/BWgE9S/iVX8XgjKK+Ug4Htpm/pJaTf6XRnzTLoSm0fvhn0J6Hl6tHHoPlq1z5aufw55bqYb65W/UePrJCNu26Dz7Qo2z568lmYmB7QSuQ336Cv7VZNGIkNyyF69Wpj49RuPkORonz922fgkVYqlmDccAxs9X+ff/2zHe/5k+3vfpHvTIUujmRp5PC54ozwk49J05vvPfxpgaqq1fDn8h1EQu+x6qcSD9AK0lA0LBPncZ6fuo6SRCV2mcvLBqc7WSx2tfmObU9/M88slOHvlEBy091gpxkVtB+GhZEgqpVzyOvzDP61+eZuho+ZbqHa4Hk5dq/MW/usTx5+d578/0sPW+FJrGTfdt4VkZ+FDOObz8J5O8+Afj1Ctrk4SWx7dTPjWOW66jWAbS9ha9a1oygl+1USImXqmGvIk62GZUWRRPqhY8vv3fxhg+Xubpn+tl232heArcxHVKWB5j/kqD5z83waufn9xYGZXlF/WGapT85Yf0PGrDl6iPjyEdGxSF4qE3brmfQ8fK/MfPnOCeD7Tx1F/vpn93vJnLGP5+a8QfFp4dUoZiPSMny7z51RlOvpyjOONcs03gSY5/7QrHvxaKMR350hhHvjQGwPDb8wy/vYqBRITKtJqpcPG12Wt/3wBuyFLmnAIFp8RUY45ZO4dEcrY0xJZ43wqyuDvZxwMt2/jO5FGmGwX+YvRVPrv1/XRH7lwi9tVYfuqEEKiribDg4/rj1BovoIgojnsB2zmFoW/H0LYhZR1Tvwffn6JQ+V0s4x4MbRdSljD1e7jRJGi9RFE3dcyIQTIbvyUBF30Vsqig4EuHijuJG9TXzDNcPxQiWjtOUKDNepCUcW0e6MnZabwg4Ie27SCira8/ScNEV1VKrrMYxgvgeT5B80afHMsRiZpkWuNrNbMCXhBQadgI1k8WAY6NT/Fzf/hFNrdm+ZOf/RS6Gk7gp0oV/uaffZULs3Pc19/L7/30Jxe3qbouj/76b2PpGq//6i8tXhn/4CvP8q3T53D9pYfVpmyG//nTn6QrtbrQ0c1ggcQuN1asdnXW/DpnyueZs+dpNVuo+TVKXoUOs5V5J89EfYp7M/uYtecYqo7xYPYeqn6NaXuWTrMdJ3ApuWV6o90MbkiwxYVgDpTOxSOzVJ1/fOCZFWtJ7yJCcXhP1yBPdqQQSgpYGVr9qc37+dTm/WvuSXoX8ZyDSPtlwEcGcwTV/wbBHDKYJaj9CQuzOr/6OZABWvLvwU0aUNZG0CSUn4XgylW/+RCMI+1xfPt7SO8SWvIfg1hKkHdlA1UYYW3GW4QQMYS2E6FPIYM8yBwEGyyLEszh1/6EoPp7LHhUg/oX8YISwrwfv/SvWPBcBo3ncf0cRusfsYGqTO/iNkHRDRpTY1xP2mY1b2O9Lvnat2+utAWADHxQQGmKl2mdbSiJGM7lUfBvfWIqhCCSXHk9NSo+X/2NYV75i0me/MluHvlkB/Hr1KFbDXbV59iLOb73xxOMna5siCxF9u3E3D6IN1fAvjiC3pbF3LkZ98oUtaNnCBoNgtrSmZANB1mrX6fFJRRnHL71W6O89Ifj3PV4lns/2MaOh9NEr1M+YV2QIdE+91aBc28UuXiweNPexJuF0wg48b0c598usGlfkod/pJO7HksTz2w8N85zJMMnyrz19RkOfXOGWunGniS9JUH6/i2gQGB7SD/ALdRQowb4AWZ3BrMzzfRXD1G/kluWc7s+GBF1hdJu4EtOv5pn6FiJHQ+nefxTXWy9N7UhsZ7Al0wP13ntC9O89fUZSrPXEon/10PKkCgCBAFeqXj99dfbbACHvjXL4W/PsvlAkns+2Ma+97aQ6TRRb+V2lJCftrl8pMTZNwpceKvI7NhSBYXbASups/9jvex4TwcXX5tl8vStjckNu5vS4liKwdHCWe7L7kETKg3fWVRFXYAQgs9seZrxeo4juct8e/IoRbfOz21+HzuSPejK7Z6UrYQuVCxFp9qs9Wj7HgX32oezQMPQBohHfpiFfETLuBcQmPp+womPylLomoplHCAMtbp2uHKN2gqCGNH0a5RiV8P/+fu/1MyDExwbmaSRU+jOrq2qVG7YHB2aIBEx2T+4lIelm9eSxbQZWvYnaoew1DS9sQdv0QriU3YvoSsJivZZUuYuQr/HUpt5u44EeuLJ0Mu2DqjKUgsLIxj4AaOXZujqbyGRinL+xBVaO1MkM1Fsz+f7p4c4PDROMmrywLY+qnWHw0PjbO9q46Ht/YzNFzg1Ns3+wW58KXn74hgTuRIRQ+eRHYPYrs+zx86hKgr3bO7hqT2hYErU0NnUkqHmOIzmCmxpawm9lLbN+Zk5vCDg8uw8NcchahgEUjI8n8f2PO7p715xxp/avomEaTBXqzE0l+fSXI5rI9BvHm7gU/UcHN9jpJonrpsEMsALArYmWoldlaeroNAf7SWtJzmUP4YqVJJ6grJXpT/aiyY0+qK9WKqFLwMs1eJg/igtZoaR2hUyRoodya20Ghs0/Mh6kyx2LC5a7Tr0619Fjf0kQiQhyIGIIZSVfbjR9RvUv4liPoGW+R2krOJXfw/pHsKv/k+Evhst9a8R2mb82h8T1L+M9M4RuJdR9G0b69ONIOt4pX8FwTgoLajxv4di3AdK2DfpjSGdVwjsF1AjnwCxFP1QdQu8Of9VWs1+tiXvw1Jjt+ZdVDpQ438LteklDezn8Sv/KSybsd7ueKFympb65whtG371DwgaXyFofAPhnUGN/w0U62Nh2+V/i/SHCeyjKOb660C+i9uDiW//2TrWuv3MwEhl0WNp6uUwH0aJWMQfvQ/l6ceoHz1D/fgZgurNk1GhgBlZZf4gITdh86V/N8RXf2OYTfuS7Hw4Te+OGB2boiSyOlZMRSgCp+5TKbjMjTaYuFjjwsECFw+VqBXcDTsg9J4OhGFQffUw7kQoqufP5/ErNfTeTvTudtzxjUvTX4162efgN2c59O1ZzIhK764Yg3sT9GyP09Jjku0yiSQ0DEtF1QWO7ePUg8UyBMUZh+nhGjPDdWaG64yfr1IpeCtqM/6gYNcCzr5e4NwbBaIpjf7dcbbck6Jne5TWvgjpdgMjqqLpAt8LFTErOZe5sQZTQzWGjpUZOlqiOOuw4KRZD5zZEl65gdmRRI2b+FWb+M4uSkdHiO/oxq80KB4ZxslVN0wUISwpsVrtznrF5+h35zn+wjyZTout96XYciBJ99Yo2W6LaCoMX/W9gEbFpzDjMH25xsjpChfeKjB+vobnBnfi9l0V3//zKV75i7VDi1v3tFO5UqJRCA0ikdYo2R0tVCbKlMdKBDfhld0o1h0BcDv2JeHS4RKXj5T44r+9TPtghMG9Cfp2xWnrj9DSYxLPaJgRDc1UCPwAux5g18JSIOWcy9yVRngvDtWYuFQj36wNu5HrdyNolFze+KMh3vyjodvS/A3Joq5o6IrGx3reiy40BPDejgex1GstQVkjzj/b++P8x7Nf5+XZ07wxd57Ducvcle5jf3oTWxKdZI04kWYpjfUiYyRoMa/vkYloOmkzSrUWksWa7zBVv7YumapkiFrvaebVrJZopi77vvBZsjRUK4/7cmV+hZhPh5VEW6Pw+vBMnkvTc3SmE8QjFmfHZ0hGTMZzJc6Mz9DXkiIVtZgtVYkYOsmIyWypiq6p7OxuI2auMuadKT78vz3Jvsd30rMlVHqse/MEeNyV+VRzsnlr4StCqKSMXUzVXmrWWLy2PUsNr42G5637wiw0Grh+QEI3MJrGhHMnx3njxbOhymgqQltHik07ulAUwUSuhKYqPLitj0BKLk7O05aM8TPvuZdTo9McGZrg/q29lOs2pVoDQwtLK7xv7zaqDYcXT15iV28792zqQVUV4pFwPAUQMwy2tGU5ODLO0HyeLW0t2J7H2ek5VEVwd08Xl+bynJqc5f6BHgIpOTs1ixCCvU0F0oVR+eCubbx/1zaQkq+fPMf//Z2XbmX4r8GR+SuMVHPsSHagCsG54hR1z2UwvjqZCwi4Uh8n7xZoMbMgQVd0uqwOPOmTc/LknQJSBuScAm1mK61mqELcH+2h6lUxlQ2q0UoPr/pHCLUHRdtFUH8B6Y8g/UmE9ThC201Q+1NAgyAfrt/4OkJoKEo7MvDxG18H9wKK9QRIZWl7fTuK8RhCXVYSR0mgWM8gzCcQTe+e754A6aAYD6BEPgGoKOYVAvv10NMWTAK3mSziId2DgIYa/yxq9MdYFMlSWhHadrCeQuUfAjrL7yVLi5E0WvBw1hYSWYa655BzaliKTlwPz0/NdTBUlahmLNZJW4BAYcPPAmEg9LtRIj8KgBpzCOzvgrQRShY1/rcBA0UY+PXPgz+P9C8A75LFdx63d8YR7R6k9cATWG09aNE4SElq274VqpdCUVGtCI35aWrToSfdGRojNzKOkohhbd9M8kPvwc8XqZ86hze1/lJAi/uA66toSvBdycVDRS4fLobFsJsbXm2M3GjR71WPR9eQvk/ghF5ava8Lc3Mf0vXA929anEboGuaWQZIffA96bxeoKs7lEeZ/7y9olCtcPFTi0uHSirp3sEofF/oJocdlITL+qv7qvZ20/uJfp/Tsy9TePoZs3Hw+081CyjBcc4E4cr2+Le/TTZ6/+ZfPNVsToDTDhoWAIKB8dnKp0ZsgihCK313v/Ae+oDgrOPydMkeeLaOoGoFnIxQFoepI38VzG4vna3l9wdsKRVy/j9fRsgLY+vFdpLZkuPLSCJe/cZ6tn9iJmYmAHzD07YvMnZhZe+O/wpAyzI2dvFhj6nKNN786vZT6s9b9KJe2XQh9v2ljjaoiTANcb33iPfL2XTo3FrhpThCN5qpCCOYbBVqM9Arv4udHX+N0cYyR6izD1VnqCx6+wOVobojj+eHQF3UTHq6f2fQUP7flfdddJ6FbdDXrNULo6TpVmKTmuURXhEVqKCLD6pMmsY7PSyi7DQ7Pj64IodySaMVYo3abACoNFyEEJ0cnuau3g77WNM+fuMRAW5rZUpXjI5Pcv7WP+XKNw0Pj3Lu5l6rtMFkor3oYVtRk+4FBtu0fWJYXVqDkjNNmXb9syEYghM729C9Sdi+s6u3oSSSZrlYYLuZXVT9dDcdnpsnbdfqSKeJGSNx27OkhnnyCWNwkkYqG+ZJqqEDb25ri6PA4l6dzPLVnC6pQCKQkYhhIwPP95otUNG8QialpZGIRHM8jGTWJmQbfPHyWB7f18+C2pSL3UUNnS2uWVy4OMzQfCvI0XI9Tk9PEDIMf2rOLX3/++5ycnLqKLMLenpX1ghRlKYhQWcNwcCsQAhqeS9GpUXTrFJw6SBZVeK/GptgAH+i4ezEPbiEHQhGhB73LakcVKhLJMx1PoojQEymRqEJBIjceFik0FOtppP09QCKDKdC2oEZ+BL/620j3IorxAELbjFf9HUBBNR8msF8DHBAZVPN9SKUd6V0G6YPai2q+h8B+GelfWUEWhdqNUNoXjUBCbQclCyKCUAeaYi4CRBKhZEA2kMGdqKEmQMRB5pDuhatK8izcN6EQzMplYPt1Gn4NQzFD8agbEDshBBPVAlONMqaqkberjFbzPNy2iQfbNt2eaA6RRNE2NfshkSKBUHuR/hTouxDCaPbZRChdSH8W6edufb/vYsPY9FN/B9W6fmXLsVVyFtdCfWqMmTe+S6x3C5m7HkBoGo35qRVKq9L3cct5ysPnqE+PLW0cBAhFQYlGUCIWwtBJdnfQOD9E7c0jG+7buqYNsjn/vcmJ/nrhTsxg9HeTfN/DOOPTBLUGSiyCEosSNGyUag1r+yasvdsJCiVwXZRknMi+nQTVOn6+tKrnUetsJ/mxZxCKoPDFb4bkEwjKlcX+hXPN29U/gdA0uAPvqI1CLk6gb7FvQmClO+h+7Ie5/LXfXn1HNPfjL/sMtydk+ga/W8lWIskOFEXF9xwCz0HVLRBgxVvwXYfC5Fmc5jz2dsPsbUGNm5gdGSonR/FKNdS4RVBzUGMmXqWBGjXxazZq3MIr1lYdF6/hcfy3D9Gyuw0rGyHwJaPPXaZlVyuqcWejCG8bhKDnF38Zs7MLBAQNm5F/96+R9tpGk9je/aQeepS5b3wZZ2J8cZ75TkHLZog/cC/SDyh++7tLy1tbsLZtpfL6m3du3zdaYboxz5HCmWbtwxCni5foj3VjKEsk7Gvjb3OpMh0Kglw1eAFyKVTzJsZ1PeqiLWaMzYlWDs6PNncjGa3keH7yLB/t27u43u0UGPmzoUOU3ZUX1r6W3jVz9nwZEDN1RucKmJrG4cvjTOTL2J6HoYU3WNQ0uDQ9j5SQjUcZmcsjJbQlY4zMhiSmN5uiNRlb7M/VJSUUNHL2RWZnTmGqCVJ6P5uTK/PENgIpfYr2aZLGNgqNE6TM3Vwdhvpobz/HZ6b54rnT/PjuvcT069fCOjw1wffHhik0GvzQlh2LgjiKqmCYGt/9yhE6ejK0dSTp6MnQ2pHC831KdZu5Uo3hmTzbu9oYns3xX77zGt2ZJDt72jkyNM7Lp4dIRiy2d7ctWSoR+IGkajvMlauMzxcZnc2zszf0xsYMna1tLdQ9j+FcAQDb8zgzPUtrPMbjWwb49y+8womJ8CUfBJKzM7MIBHu7O1bp4Z3DgWwfd2d6limCLuUuaqsoUQoEapM4CMRSHcAmqVaFunguFz6LZevcLESTgIaQCLUVlERI/GQFRDT8jtoUh1h6yQTOG+BfApFuvt8DFCUJSprwlXzVC0wkQFmYKAvAAmEhlERzHwtmPxWEDrLBkorn7YSOYn2QoPYHBPWv4coyavTTCOOhqzx9q49rQm9FE1qTyF8fJbfBaDVPQjdxfA8FhV2pLvpi2cUSR7cMYTbHfOGYtZAMCwOhtLGiP8IkfMC/8x6KdwH23CSKsSx8WwjUSAyrtQuAwumD+PX156zKwKeRm8LOz6An0gS+T/7k63j16tUrIoMlV48+0EP8sftQLIv6sTMUvvQdpG1jbt+MtX0TNx+Qujay2+4nPbgXoShUZ0aYPv4i6YE9GIkss6dfJXBtWnc/RuA5FIePE+/cQnrTPjQrSj03yezpV1E0nZZtD2DE0yi6ie/azJ58mdrc2Ip9Scel8uphhKou9r1xUm0OxdI41I+fDT8GPiBonAqFbdZS41TiUbRUgtKzL1N988g7OQe9LejforNrn8nIRZezx9d+BqSzKg8/FUXVBF//s2ujvxIphdYOjaHzN5GbJyWNwjTD3/qfG9/2NuF6b0zfaSCEQLcS0CijaAa6FUcgcOvlULV+FWeDImDnNp1f/VsZHrjXJJ1U0HXBxKTH7/9Zmf/w20XaWlX+j7+d5qMfiGEagpdeq/NP/02O0StL7zm9JQFIjLYkyfu2oMYsjPYk9eFZ6sMzpB/dhdGVpnZhEr9mUzk+QlC/9jzUc3XqczUCLyDSFkWP6chAEvg/+BDndUNKJv/gd1FjcbLvfZrotp033ERRFBRdQ6jakqDVOwhvbp7G+UuYmweXjikaRctmcMbCyA6h66ipJF6+AFKixEKni1+poGUyaB3tOKNjBJXq6jtZAzcki6O1STJ6koyRXJxQzjZyK0Q1IMyj8t/JIOKr0BlJsjfTzRdGjiwqVI5VC3xh+Cj7s730xTK3dX+nC1P8/qU3qftLrmBL1Xi0bRNRbfVk7YG2DN3ZcBwVIfCDoOl5kqiKQm9LimCZVXR5OQNFEewbCF/6C+IrayFp9LIr/SNIGb6kNGX9Qi+rQREaGXMvI6U/J6ItiZUsx4/v3sufnj7BVLXCrzz3Tf7+Q4+zr6PrmvXKjs13L1/kd44d4kJunpRp8dTgJrriSwI2Z46OkcrESKaiXBmawzB1sm0JDl4aZ1N7lo/fv4e3L45RqNX54IEdPO1vQ1UEmqoipeSBrX2hwFHTYqopCi2JGKoiODs+yz/5saeZKVY5dHl8kSzqqkpHIk5E1xmezxNISd1xuTSb4/6BXqKGzkBLhlMTM81SDpLz03O0J2K0J9YnvnO7oCkKqgzPwXLV1uXfr8ZyYr9WncK11tk4JNK/QlD7KtI7A9pWQnGUJbKkGI/gN76OcFIIWUf6MwTOEaR7BIQBIor0pkDMhORuMWRzjf4Js7nO4gJCD57W3H6pl4tt3IkHvbDQ4n8D159C2t8laLxAYL+KUHtRrA+iWB9DaAOrlpeQSHShU3HzeNK9oXex1YzzQ317rxFl1MR6sqbX2R1UENaKJWHNPeWq5c3fbinG5l3cCiZf/Mq1510IVDNC53t/OBS32eipkRIpfRrzoTcycJ1VRXJWbOK41A6fwh25QmC70Ix4cKfn7si1YSQyZDcfYOilP0IGHoNP/hTR1j5K4xfY/L5Pk7twkMBzSPXuZOLgN1F0i/TAHmZOfg+7NE/3vR8k2taPWy1gpduZO/8W1alLdNz9PsxUG43iDMFVRmEWatQt9HkV78vKZTIkkmtBVVGjkVApobq6N+cvO64MuUyOeTcU6RAKaLpgLR28ngGdxz8Q43d+7SYjFKQk8P5yisC4jTL58dPhIFxTgzM856tdJz3dGn/tRxP4geSZT04w2K/zj34lzcEjDv/190tkMwq/8otp9t1l8Jn/fYaGLfnZn0zwe7/Rzgc+NUHTSY0zUyR+Vx9uroJbqKJ7Ac5MMVTpHZ7FaEviFio4M0ViO3qo6eOrksXGfJ19f+M+nLJNojeJFtFo29dBvDtJ4cJfnciSoFohqFXxK5V1PZvKJ49RPXuawF1fqshth5ShoNjyRUGAGosT2bkD58o4wtAxB/rRWrI4E5MkHnyA6omT6PE4iYcfoH7uApmPfZjcF76CtNd/n9yQLN6V3IqmqCss1YaiYykrCdEDLdsZiLWve8cbwab4jT03hqKyNdnG/mwvh+ZDS6AvAw7Pj/Evj32b/++ep9mabLtBK+vDobkx/uHhrzB3lYX1Qz130RFJrilwoyrKIskWQqBJZfEzNAPT1JUT/xUkYJ3efVWYxLSwrw2/QN2bJ6LdPFmWSNygTCB96t7sqhPYjlicf/joE/yfLz3PkalJPvONL9MWjXGlXATgfxw9xB+ePMpEuUzJtqk1Jxyf3X8v+9q7VlxfUkqq5TpzimBqvED3QAtCCLZ1tXDo0jhfeusEvS0pdvS0YWgahraSKOnatQOlIOhtSTFbqvKVt0+TjUd4aPtSGKoQIiSE2TSFeoOJYonhXAHH89nV2YahquzsaOO5sxcZms/h+QEVx+GBwd5rDCfvBK4mc+9k0dgbQyDUbtT4LwB+0+P0MCGZU1ETvwLCQNN3spjPJ0xUbSfwY01yJ8B8tPm70iR/GqCiRD/JtTeDstRW8xhWX97EHXrOCwRSaUdP/1sC52382h8h7e8jvQv41RH86udQrCdR438ToS6Ed4YwlQh+4KEIbV1hv4oQmFdJst3+WpkLpPvqZayy/F38ICFdZ9XLOnBsiqePkL3nMYpnj+HVNh5+XTx/LNyHf2NvvDc9S1Cto7W3EtQbeLM5EE0RmHxhw/u+EaxUJ1a6nYHHfwwpJYpuouoWgdugNneFaPsA0vdoFGdw62XMZCtmqp3u+z7cDAM0qc2P4wkFp5rHqxXxnQa+Uwtzye6gOJ/W1U7y/U9ibtuEmoghLJPsp3+UzE9+nKBep/rmEUpfew4llSD9ox9BaBrzv/2Hi9sLwyD94x9F72pn5t/+1oq2Y4/cR/SB/egdrSAEfrFM7dBxKt97Y81JohKNkP7kh9E6Wil+7bvYF4dXENcf+XSKREohGlPo7tf4zpfKvP5ijR17TZ754QSaLvjOF8ucPBQKn9z9gMXjz8Ro79LItqlcOuPw0rcqGJbg/sci7LnXQlUFB1+t8cLXKtx9f4SP/VSSTdsNOrs1Ri65/MF/zt9wXi5UjfTW/WS2HEAxLIx4itN/+C8XfzcSGboe+DBmqg1JQO7cQXJn32bzh3+esZf+FN9psPkjn2X+5GsUho7T/fDHyJ8/SG1m7JrJ+a0ibG9jbaaSCj3dGgeP2kxOh9seO+XQ2aHSaEgGezU+9qEo/79/keON5tj/+n/2+c6fd/ORZ2J8+VvhXNWZKpCfLy/F/S5Gu0ik61N84zwgkEFAfXgW6ax+vw994zxjL14m8MJ2VEOlbX8nubNz5M5tPC/5Bwq5AQOn7xPcZP3GOwXZaODOzWH09wIQ1Bs4U9PED+zDm51HTacIymXiD9yHlskQ2bkdLZNB7+rEGR5d935uSBYjahjW8v2Zc0RUgxYrwaH5MT7YnSUulgpbf3br04t16q7pzCrLrl7veuuslQO4Yl0h2Jps44M9uzmem8Bthq7agcerM5cZf+vzfHJgPx/v30fGvHENwKshpWS6UeJ3L7zBN8ZOMm/XVuQOpI0IP7n5XlKGdd2J2gqvzlpeoHWssxrcoEbevkTeHlpcVvfzqEIna21ddztXQxJQ8yYYSH5yzXUUIfjApm0oQuHfvPYyV8olyo69OEKn55qqcc2bMmEY/NI9D/DJHbvJRiIr+nnfY9s5/vZlJkbm2b2/j8FtHQgh6EwneGbfNoJAoqoKhrpQ82Z9Y5SMWjyyY4D7t/ahKmIx9HcBC3mLbwyPcWk2x/mZOQxNZU9XO7qmsqerg2+dOseJ8emmkqvgrq53NgT1rw4UhBJb/SfRXL6iKLy4ygMIi+UzrrkHbs1TfmsImiGsa0AsBPEmUcwnUIz7kP4kQeNZ/PpXwR8mqH+TwD6Envn3oN/dzKcEO6iDgITegiq0G+Ysrr77O2E0+MtkiHgXNwOvUUWLxsPQyZvAekjiAvTeLmIPHkBry2Kfv4wzNonR1035uVeW5YndPtjlOdx6ibHXvkjgewhFxXcayMAnd+kwbbseQdEN5s+/je/UcasF3HqRmRMv0yiGImWB52Akskg/WKp1+g44Dvx8kcqLr1E7eAxzywCxxx+g+srb2OeHkL6PXwiNrUJRwtxP/apnpAAlYqLEV85p0p/6KLGH76Fx6jylo6eQjove1U5Qqa05MVZiEdI/+kPo3R0Uv/E8ztDYNR5OKyIwTMHzX68wdcWlUZf4Hpw/aaPrgj33WoseQ0WBwa0G+TmfP/2dAk99JEY0pjA+4rLnHouJMY/P/Waevfda7L3PIpZQOPJ6HU0XvO9jcf7DP5vDX2dYo/Q9CpeOURo5gxFPse3jf2fF731PfoqZoy9Sz02i6AYD7/1rNPIz+HYNI9mComh41RJmtgt1/AJ6LBl60W8zUbxZNBqSWlWydVBH1yAeEwz2apw656Dr0N2lYZmC46ftBUc++ULA8JjHXTuNRbIYlphY+16W7vW95QvwHR8jbRFpM0NRHyGYPT6NU7LXrYSqJpMk738INRolsB2iW7dTPX0Ce2qS1P0PIiyL8sG3KB85hNHdQ+aJp3ALeXLf/sZiG1q2hex7nwEEM5//k2bDKmZPP+mHH8Xo7ELRdfxqhcboCIVXvodXLKzr+Jaj9Yc+Tmzn7sX7b+L3fgdncmLxd72tjex730/jyhhW/yBaMkXhlZfQEknid+/Hr1YofP97NEaHN7zvdWG5NzoIkPU66Drm5kHs0VFkEBA0bKrHTlA7cQqhKgQbFLRat8BNyW1Q820uVKbYkexizi4TUXW0pmU8pv0gJ3Ah4prJw+2b+EDvLr4+dnJxuRv4XCrN8Z/PvsyfDx9mf7aXB1oH2ZJopT+eJW2sFAUIc+Qls40yI5UcF0qzvDZzmZP5CUpuY0XoKYRTqV/e9SRbEm23L1foJmD7ZRp+iZjegamEoZEVbxrbv3UhD4FgrPxlVCVGf+KHV13H1DSeHtzCnrYOnr18ge+PjXBmbpZ8o44vJRFNYzCV4cHuXj6ydQc7WlqJG8Y1nrnLZyep1xwOPLwVKSXPffUorR1J9j2wmWR640R/AYoQmLrGWmUto828xZcvDnN5Lsel2RwRXWN3ZweGGpJGLwg4MTFFyrJQlimhvouNwQtqKMJALMuXvAbvqLd0ycJ6TT7kAmQAst7Mt7x+6HH43DSQ6AgtgRrrQ43+BEHjObzyr0FwBb/ym2jpfwciTSB9JuoXKHt5YmpAsNYxvIt3sUEIRSWxaScyCO7M5FcoZO96AMU0mTv0PbRMiqBSpTY8htqSAUUJFfzuEOzSPLkLh+h58IeB0Fsy9toX8X03JAeagWrGaRRnkb6HUy1QGDpOy44HUDQDhGD62AvNsXlnQ8tkw8a5MonQNETEIup4uJMzNM5fZkmxZ2PQ+7qIP3Y/1TcOU/z6c6HKqQQ0NQyfda4KI/Z8lFiU9Mfej9qapfjVZ0Oyuoba4viIy9S4S6mw9IzyXKjXJN4yHhIEMDflsXNvjJ/7u1mKeZ83X67heVApB9i2S2Hep5j38VyJaSnYtk+9GuA6knJxY89A6bn4not3VXyrHk8T6xyk+5GPNY0eAi0Sx0q10pifxEy1YSQyFIdOkhjYhZXtwq2U8P8ShbKOjXt85dtV/tn/keW1b/VSKPgcPeXwP/+4HMZ+qOHba3k6rCTUVtBXKeVxq9j2o7tp29cRGlea5PD8F87QmF9fLVEAhIKWSGANbKJ69jTOzBTJ+x7EnpnGmZ1GT2eJ79lHY3QUoWoo0Rhqo3FVEwpqNMpyg6aebaH9E5/Ey81TePV7IEHPZDHa2gns61WhXRv5l56nfPggiXvvI7H/vmujDRQVLdtCLJagduk8WjxB9pkP4UxOUB8eIrplK9Edu3Bz8/iVm5uPC0PH6O0lft89aC0teAf2Uz9/IRS9uf9ejN4e4g/cR+3EKfxaDXdiktg9+5n74z9H2g6NS5dJPfNe9PY2CAIKzz6/of2vu6xkXyzLlWqOVjPBueIkH+jei/IOE6NSscaht4ao1Ry27+wkEjHo7W9Z/F0Rgk3xFn58071M1UscnFtysQZIyq5NxbWZqBV5YfI8uqIu/ouoOqaiIZHUfRfb93ADf/Ff3Xdx1njR/uy2h/lgz+5lcvUbQ73S4OzBy5x68yLTI3OUCzU8x91wSPQ9T+/ko7/wOIrQFsPb4n43zkYLcV8FgUJE66Zhz6KTuu66lqbRn0zxU3ft4xM7duP4Pm4QEEiJpigYioKl6cR0HU1RVh2v6fE8vh8wdGGK2ckiu/b10ai7TI/nb4ks3ggRXWdrWxbX97k8n2c0X2AgmyYZMRFARzJONhbl9NQs3ckEihDsfpcsbhiOn2Oi/GfEjO1krIdQlehNedFuJwQqAhMpS8igsOo6UtaadQfXP4kJr2+1SS5jKJFPoPgjBNXPETgHQdqARKAwENtDX3QXAoF+i3nG7+L/fej94Z9BvcrwiQAtEkdPpsmffBu/dmvvgtUgVBUtkQqJF4AQSM8naNhhsLii3FnDjwyYv/A2+eHjC0eECOpoGnhewJU3vgJC4DUqzV8lxdFTlCcuLobh+XYNkEwde34xP3Hu3OtN0Y6Nk4Z4ywBdWx8jnl1KdSjOXmT89HPYtfzKlYMgzH/0A8J872Axz3PDEGDu3IowDaqvvk1Qri55Etcgf0JVyfzYR1CiUYpfexbn0siiEutq8FzJem0Omi4Yvezy+otV8nM+9VpAPKni+yDcJQ/uYkQkYTqfbojbph+yoJA98uznVhBA364T6xgg3rOVSGsvuXOHSAzuJtLShVOeD/PS/pJA1SCVEszNe/yDf5GjUPKp1yX5JqGenPLxfNg6qDE+EZ47wxD09+r88Rdu/z0f70kw9I0L5M/PL54kp3oz4yVw5+aoHD+Knm3BaO/ALxXJf+8F4rv3kjhwH1o6tVim5oZQFLRkCjUWp/DyS1ROhuHzQlURmkZwHaXT68GvlPGrFSK5zStylVf0RAjqo8NUjh1BCEHinvupXbpA9dRx1HgcLZlEiURvmixKx8UZu0J+ZhahKAS2jXQcXNum8OxzCFUNl9lhPmX1yDHqZ84SVMNngDefI/+1byJUJfQgb/AZs26yKARUvQbSg6e79pA2Yu/49G50ZJ5ioUZnd5qJ8QLRqEFXTwZVXSKtmqKyL9PD3975JL919mXenBtZ0YYEGr5H46qwmlB0Jvx9QV3yRlAQfGb7I/z0lgfImrEN567JQHLwhVN8/X+8wMXjozQqNp7rEwQB8iYsip2DbehKDDeokmucIedcRsqAhN5FyujbcHuLx0lAw5+mL/FxZuuvIQngKjXU5VCEIG4Yi+Uw5LIn/nrItFAFvhsweSnH8IVpegdbEULgunc2JERTFFpiMZKWycXZOSaLZT6+b/fieTU1jZ3trRy5Mokf+PRlUqSj707qNwpVRFGEhevn2QjxuqMQMVDbwR9CuheR/hRCXV4SRUIwjV//0tptSElY9kNl9UerQChRFusdXnVfGNcIxryLd7F+SM9DKldPqiSNygT5429QvnQKb71kUVFCNePAXxTeWHNVTVv00AF483mMzf0k9z6OiFho2TT1Y2duokfrR9AsQ7CAh98Xhrof/H4Nt7Gyzx/6sSSvPV+lMH/tWISksfnZuTkvBICi6BiRJFZ8yZhdL8/ckfzHle9hgZZKAgJ3Zn5dbCvx9KOhemKugKw31lRrXcDVLQoBjz0T46mPxOjs0bnrgEmmReXoGw0MU7B7v8m2u8K5wJljNm9/v3ZdB25+zsf3JP/kP3Zw6nCDz/9e8YZ9uB7cahGnPE+8dxvzp19HBgFmshUvCKjPjZPd+UA4+fZs7MIs0c5BChePXitq9ANEeAsK7tln8YXf68TzJHM5n2+/UOc//NcCM3M+33mxxt/5bIrJaZ96I+Azfy2J60q+8d2NqV6uB17dwy7aNPL1W3bGB/UafqmIYkXwSiX8SpmgVsO3G0gZIDQd1ksWgwCvWMArFUk/8RRqIkH1zGnc2WtL1WwYckGkau0Oe6Uifq2KV63gl5t9qdcJbBs1Er3pNIDFQ3Ddazz+0vOQlWuNO9Jx8J1lBD4Ilsrw3ATWTRbHq3ne17UHTSgk9MgPRNQj8AMadYdioUapWCOTjaOsUgDVUFTuaenjH9z9fr44cozPDx+5JnT0akjkhtIp2sw4v7z7Sd7XteOmiCLA6986wuf/07NcODqMa9+6jH/gBwghKLnjTNdPENM7CKSLF1z70tuR6uBPn/zMYg7hcmhCIWMs5ZsJFEy1hZnayyjCZKM5TBv1tt7z8FauDM+xbXcP7/nI3Vw6O4mhq7R3Xd+ruRw1r8xY7TzD1dPM2RNUvCJuYIeWVyWCpcZI6210WP30RLbQE92CEIKYodOdSnJobJyUZXFX15Jok66q3NXVwUsXh7kwM8/TO7Zec97fGh7j2PgUFduh6jicn5mn7rrMViT/zwuv0BKLEjN0oobBB3ZtozuVWFRtPTw2wcmJaXLVenPbOWbK4YP+9988zEvnLxM1DWKGzqOb+9nZ2b64/0uz8xwam2CqVKHqOIzli1yYmads23zz1DlGcoVwv6bBro42Ht8ysFgD0vEbnC0f5IXpPwNAFTqb4rv5oe6fX3Vs26w4f/zEZ0L1YwmO71Ou2rSkogjCMjbXgxAaUX0A25sOXwarXE/D1TMcnP8uc/Y4LWYPj7Z+hM7IpjsWzSDUThR9P77zOtI9hlf+ddToTyDUfqR0kO4xgvoXkO5JEKt7tyU+0j2OX/51hPEYirEPoQ6CkgTpIoM5AvsV/PqXAQfFfKIp/vNuTuC7uHVMv/S11T14MiBwnQ0p+LXd+xTx/u3MHnqJyvAZ2h58hvSOe1ZdVygC1YqRP/02AO7kDJWX38K+OIxiGLiTM3iz8zfdr/UgEhXs2m9RrwVcOOUQjSkYpmD/QxEmRl2mxlx8H7bdZTI35eHYzdz5lIJuCLr6dCqlgMkxF8eWJFIKvZt0SoWAmQkX14FURqV3k46UMHbZoVwMiMYE3QM6vgcToy52486GsV5zeoVAXJWvKB0HkCgRC79+Y8LrjI5TP/ECifc9RuL9T1L8ynfwZpbOl6ZDxFJwXcnrz1ep1wN0DaIxgRpGtnLhZIORiw5u0+tYrQT09OskUirf/kKZS2cdtt1l0L/FIBpTePGblcWn3rmTNqOXHSrl0Cgxesnht/71PJouaNRv3ZgoA5+xl79Ay+6HSW26G6GoePUSV175El69gmpGaBRmCDyX+tw46c1341YKt01RNTG4m5a9j2CklgwHlbHzzB19Gad44/tCVeDefSY/9rEY//BfznPslIMiJNu3Gvzkj8S5+P4oX/pmld/870V+5ZdSfO6/dKCrcOGyy//+D2fJF1Yfw75nfpJIe29T3frGKA2dZu7oy3jVIiDZ90v3Up+t4TY9ipe/cZ78+Y0rocogCL3pUobEZyGWOfTcrCMq4arKDPkcs1/8c+J3HyC+dz/J+x/CvjJK4fVXsEdH1mjj9kB6Xhg6HkgCd0kJeqXy7dpQdJPsXQ+S3fPw4jLfrlE4e5j5E6/eoaNeH9ZNFhWh8L3pM5iKxtNdezDVNRK/1oDju8zbZQpujZpvowqVmGrSYiZI6hG0dVjcNm/twHV9hi7NkMnG2bOvb1UiIpoqgduT7fz89kfYl+3h88NHODQ3tih8c7OIajof6d3LpwYPsDnRSuwmQ0/nJvI89yevc/7IMF4z4TiRjtG7rZPWngyGpW84cmfX/ZubnySGmiCmtTFTP4mpJgmkv6J2m6XqDMZb1922psRpjz5O1R1ddXL/348e5NHeAbZlW9BuschvpjVOLGGhqgqKqtDWlUYIiETMG27rBDaXKsd5e/5ZphrD2EEDL3Dwpb8oSKSgoAgFVWhEtSR3pR6iJ7oFCENRt7RmeW1oFFPTriKLCnu6O5BS4voBd3Vfq/77yqURvnDsFI7nE0gZhuH6AZ7v8NzZS2hKWDZFURR2dbTRkYiz4Bh/a3iMLx07Q65WI5AS1/dxmlbeN4bGODg6jiIEqhAkLZMdHW2LD9JzM3P8xeETjOSK+DLA8wMc30dKyanJGS7MzKM09/2BXdt4ZHP/opalJKDuV5i1x4GQLGbNtcNrNUVlsGkxl1JSrjaY8itsSaxPbVhKl0B6RPQ+FHFtLpMXOLwx9w3OlQ/jBg5TjVGSepqoliJtrP+a3RCUFhTrPQTuIaTzNkHj2wTOWwgMQCJlDYSBEvlxpHca6a7mKZFIWSdwDoN7Ab8eDbcXavgixANZhqCA0Lahxn9p1dzHwD1BUP860p8GWQVZI/Augywj/Tpe8Z+GNStFFEQUod+Faj6D0JaiB6Q/jd94FukeA1mDoIr0p5D+FcAmqP8ZrvNGs41YSJbNJ1HMh685nnfxVwNedalmnRZLoFoxAtfGrZRXCiCsA3Z+FqHpi8qpejQRKorOTRJcVTpD0XQi7d3LDsQnqIXF56WuIVQFJR7Db9avvd0wLcEv/9N23vxelWybxsXToUfonkcivPTNCj/xCxn+8D/nmJnwCAJ45OkYI5ccapWArbtNHnpPjAunbbbeZfLS18tMjXu858NxquWArj6do2/WuHDK5skPxUHA9LhLLKEQ+PDQe2NE4wqmJegdd3n9hSo3qCxyU5BBgKw3ULJpFhkaoXqp3tMZltsAkBL7Ujghjh7YQ/nF12547u3hKzROX0A6DqmPPkP8PY9Q/u7L+PnQo9fSqvLokyauG2o5SAnTkz7ptMrAFg3PlWia4MRRhyNv2Yt5i3MzHqoGT30kzgNPBmh6KIQzdtldJIYAdkOuINmuC/MztzeKqDY9glPOoWih0rYMPLxGGJ6XG3qR2pU5fLtGeewcjflJnErhtpVGUA0LI9WClV16p9r5mbBW3zoQjyvs2m6gKILPf61CrR4KSZYrkg8/HaW7U8P34dKwyz//9TypZCj8V61Kpma8Nf1geiKDmelArHO+Vp8ZX1x38rUrFC7kkL4Mo+CkpJG7eU/8krdOrohEW/77atNhoaoolkWwPJfR97EnJ3CLBcqH38bs6yex/17aP/5jTP/5H+FMTd7Cca4HC+HV64tQXAHRzKdddq149Qpq5PoG+MXNUYiaGaJmltnShY3u/bpYN1l8uG0rbuAxVr22xuJaaPgOh3KXeHP+AudLExTdGp4MJ9GCkIAaika7lWJXspdH23ayNd6JsQYRnZ4qMn4lT1dPhp27u0lnrj+AmqLSbiV4X9cO9ma6uVia5YXJ8xyeH2OsmsdbZ11IQ1HZne7ikfZNPN6xld5ompamN/Fm1QePff8sI2cn8BwPTVd54hMP8L4ff4iuwTZ0Q0Os4jG9EaxoSKYSeg+WmsaXLhEtS0xrb4a+3RwkPmXnEkljOxXnMhnrbq4OQ/3ciaP80cnj7Ghp5b2Dm3hP/yZaozfncVUUBSuyRCISych11l6CLz3Olw/zvZkvMNMYw5Orv7UDfALp40kXU0ZJ6UsWv0w0wmcfvZ+P7dtExbtEW9yi6IyQMgbQFIUHBnr50mf/WqjOmowjZcBk7U26omHR9R+5p58d/UMMxN+LwrXX8Uz9KFlrO5qI0pdJoS0Lof6R/Xfx1PYt+OuY2HUk4yvGdsA3+OW9+9EiBlJKMu1re2GTEXNdhN73Aybninz/yGUURfD4/i1omsJ3XjuLaWg8fPcg2VSM775xntZMjG39rRQrDb7z2hmqdYenH9zO5FyZ2XyF+UKFAzt72bW5E58cEFBxL5Iw9qCy8vzW/AoFZxan6RF3pc28PYUd3Ily3iGE0EDfi5b4+wSNrxPYryD9caR0EUorinEvivVDCG0Lfu331yCLKoq2CzX+t0PS6Q2FhA8bUEBJIrQtKMZjKNb7EdrmsI7hVZDeFYLG80h/klBiPWj+lYCP9M4hvYthm0JBCYpI/V4Ey8hiUEQ6bxHYL4Jc3kazlpc/ifRnmm2oCKUbofbCu2TxrzSszj5a7nkcq60rDN8KApxygcKJN6lcPrvu0LrKyDmq45cInKX1K2MXyB1/7ZpcLtWwaNn/2OJ3Y3M/sYf2I0xzUUzFGb5C9dWDt6GH12LrbpPZKZfDr4XPh4VykmeP25w63GDHXotUVmV+2mPssoOuC1S1mVpgCaYmXM4ea5DKqkQTCrv3W2zZaeK6krYujULOY/SSCyKsATh1xaVcCujdrLN9j0k0rhCJCqIxwZljDeambn+6hLQd7KExInt3kf7YM9RPnUOJx4g9sP+aSbR9cZjG2YskPvAESsTEvjyK9HzUljRC1ai9fXRF6QzpekjXpXHqPGoyQfzJhwiKJSqvHiSoVBncotHWqVLIBXiewPclubkARRHMzfiLuYW5eX9FGlR+3ue5r5R57fkwOkZKqJYDqpWb9xYqqk6idRPZ7rvwPYfC1FlKs5eWlYAAK9uJWy8THcwS6UxRvTwHAuLb26hPFNBiOqVTcyR3ddKYKmK0K5SHqqT2dKOnIthzZTQ7hdkaByEonZ7Aq/zgQlJdV1KrBbS3qmzdpHP6nENLVuU9j1ls3aTzu38cGnR8Hyan/cXSGncSufPziItLXkQrY+HV74CVpAnp+UjPRYlGwxzoIAAhUGNx9JY27PGxqzaQBNUqTrWKWyjgzs3R/bOfxeodeAfI4jsLXY2QivYAUHNy+IGLplgIoRA1MkTNFup2joCAuNVO1Z5DIIiZLVTtHJXGzLr2sy6yeLk8w1B1Ftf3uViZYluyE/0G5SzemrvAV8bf4nx5goJTpebbBGtYakars5wujvHi9Anuy27loz33sTXRdQ0R6+7JoGkKI8NzvPTcKQY3t3PvA5tXbXMBihBENYOBWJauSJI9mW5KToOCU+NSeY6JWpGKFwrf1H2XQEpMVSOpW7RYMfqiGQbjWdJGlJRhkTIiKNw8SVzApRNjFOfDm/yhD+3jo595D1v3D6Ab145rIAMkC3mVN96vocTQlSiSAFNNogr9lo5XoBLXBxmvfBNNSbCaLz3fqFN2HCYqJY5OT/K5E8e4v6uH9w5s4p6uHqKadsdrAU43xjhZeI2p+ghBs46RJnSyRifd0S3E1TCXw5ENal6ZnDONqVj0RrYt66yDaoySSFzB9Cs4cp6Cc4mE3kPRGabuzdHfOoiUPnnnTXB6yDsXcGWDpN5LX2qAOgbbU21UvRkK9kVieieK0Ki4E2DNsTn5AJaavub42xNx2hPXV9m8GvOTecbOTTJxaYqOgTasQGJYGh1mlNGzEzh1h/6d3bT2ZDc8nooiyCSj7Bzs4PL4PIfPXmHHYBuz+QoffXIPbZk4qqqwqbeFi6OzAMQiBnu3dXN2eJo3T44SBAEdLUnu2tLJd14/y5a+VgwjSsrcj+XPhKGb0r+q3qCFqjRrLTZtc1Etib6KF1K1fhjFeAQhoqAseXoV8wl0bWeTCC1Z6RT9ACL1a0CAUFd6hoWwQN+DovYgrB9HiGbYntARIgFqFtDQ4n8TGf0JhLLSyxnWWMyixn4aJfh4s8SGGyacLArdRJAyidAyzfvh2ntCMR9CaP8J1jB2XLtBfEUfAYTWh5b4e8jYZwEYHZ7lrdcuMn4lRzoT44FHtpJKRzl7apz2jhR79m9hbAzOnj7Kpq3tZDIDvPHyp7l0fopovMa++y9w9/4Bzpzwefu1pwgCG8eVbNr6Nh/95P2gZNGS/whk5ZpxeRfvDKy2Lrre+wmEolAbH8arVVAMg0hHP+2PfhAQVC6fxlTixCPtKKpOvjSE416bxxK4Niwjlk4pj1cv45Ry13iqfLuO16ii6KGxUk3GCap1qs+/tqjmebPCEjeEAEUVIREpBSsOrTDvU6sENOoBqhqu69jyGkdbuRBQKQc0agFChGGXl8/ZnDthUyr4VMsB5aLP975VoaNb4/7Ho/ge1Kth2OrYUBjmajcCirk7M1GXtkP92Gm0thasvTux9u0iKNewLw3j5QpYe3asWDf/x18m/uTDWHftIHL/vjAsrlanfuTk2vtwXKpvHUVJJYjcvw+/XKF2+CSnjzsMXXDZtlOno0dj+JLH9KTP1ITP+dNL29frK8tcBD4UcgGF3O3LS1d1i5bevbT07cdz6ti1HKW5ISLZTjof+FBYmzoImD74HVRDw+pIUbk0h56MgJAkd3Xi5mvEt7RhpKNUh+ZQLB0UQaQ3TfH4OPFt7YvlILy6+w6rcl+LekPy5iGb3Tvq/Ot/3ELEUrDt0Gv4279f4u0jN6nwefotatOjqGYE1YyimlbzcwQtEkcxzKY40LUInJXXefuBLvLn5ylc3HgY6nrgVys4MzPE9txN+rEnscdG0TJZ4nvvXvEKFbqONbiZyMAm7PEx/GoVYRjEtu8CP8Cdn122skAxDIRholgWCIGezuCVS+HzapnlQxgGimGiRqMIRUFLJnELMaTjrKka/E5BVQw01aRcnyZutVGohhFiAgVNtVAVjUy8H893mCtfBqAnuw/Hq5KMdN5estgZSSORJPUIbVYC4zoho17g88Urb/LN8UMMV2ewgxsPpCt9im6Noltj1i4xUp3hx/of5cHW7ejL9qUbKr4vmZooMD9Xpqe35TqtrkQYmqrTGdHpsBIEUrI73UXDd/FlgC9lmINFKFyjKgqGomKpOpaqL5I0u2bTqDnopkalUCPTnqQ4XyaZSVDOV4hnYth1B8PSsWsOsWQEVVevIUq5qSKNmoOqqdz73j1s3tsHGtiBi4Kg4TuoQkECTuAyZ5ewVIMWIwEsCfEstLu8dIkQSvP+UVHV9ef5rTl2qCSNbUS0DhRhrRqG+q/e8wwvjgzx/bFhpqsVpqoVRosFXhy5TF8yxaO9Azw1sIlN6QzGLSb5roWp+hBD1dOLRDGupdmXfoIDmSeJqHHUZj27gIBA+riBjUCQMpbCJ72gTtkdI2vuYLp+BE1EcIOwpqYXNKh6U6SMQeygSIDPTP0EUkK7dTdj1e+RMjYvjs5E7XU0xcKxSwR4dEUfpObNXn3Yt9bn4VlUTaG1J4tuhqHLru0ycWmaS8dHsCIGZtS4KbJYqTscPXuFcq1BMmqSL9fpak3xxD1bOHR6jCCQbO1rJRk1cZtht2+fGmW+WKUlGePC2CyWodGejdPbkaZSCw1GvmxQso8RSJu6N0ZL5Ak0kVjcr65Y3JN5L45fZ96ZojMyyF2ph0jo1/ZBqG0I9drwV6FkEEoGaOY6V218P8AwLRR1M67j4dcDFDUUlbIiOp7nk5+rUC7aeL5J/+ZeBALHdonGTDw/wDCgUo6TynSgXX0dCwFSwfUSNBoRdF3DcVxMU0fTVObmStRqDrOzBbZtM7EsnUrFJh638DyfSESnVKoTi8UxzZ23ZuAREdAGEUC10uDUaQ8zdg+f+KlBThwd4cwZl4cf34HjJzl33mbPvTuYGL/I2PAc99y/iUsXppnPdfHxn3ya8dF5jh8eoa09ydycw9RUlp/5xaeYnS7y0vOneXimRFtHEqEN3vTxvotbR2b/owSew8yr38Yt5pG+F9bnMyO0PfQ0qZ37qU+PEZUZao05XL+B661P6r5w5mAodrNK1IP0PSqjF5ohfoT1AUuVMO/tNoXyrQkJl87YPPPxOD/5SxmEgC99rhiama7adSqjcs8jUTZtN3jfxxK88PUyqhYSzYV4MUEYKvnEB3XufyKK60jefLGK50n2Pxihu1+npV1DKDajlxz6txrsfyhCbY/JmSMN5mc3UDpgOXwf+9wl5v7rH+DnVhF0kRI/X6D87ZeovnYQoapIz8MvVxAIqq8dWrG6Nz1H6TsvocZjzdpwEumF52XB2+vNzDH7Xz6HXygtehplvUHlxdepHzmFXyojHZdyQ1IuSapVB/OkS60Who1KCfUNB3ssGQBvBqpmkWjdjKZHkEGAoqggA+zSPFNvfzvsQ+DjVgvENqXx6w6xTa0YLTGk66OaOvNnpuj/ifsY//IxtLhJpDdDtC+LUBXccgOhKhBI1ISFPVdZUXvwBwEpYeSKx2/+bon2FgVdD727lapketajWru58SxePokyei4Us1LUcN7Y/Jzauo+WfY+hWSvzYbsf7mP6YIOWu9qIti9F9nXe30N97s5F/viVMpUTx1BjMRL77iFx9wG8UhFnchK/UkGNNY3sMgyJtfoHiO26C6Eo+I5DUKsw9+w3aVxpeiCFIH73ftKPPRmSv1QaxbLo+ImfRvoeXqHIzBf+lKBew9q0mcx7nkaLxVHjcRQrQsuHP0Zg2wR2nbmvfXmN0Nl3BopQsPQEgfTDMFQjTdTMELNaiVttSBmgCA2JTTY+QM3O4foNhFCo2esn9+sii1HNwA18juVHafgud6V7VwmwC0VivjL+Fl8ce50rtflF8gUQ1yw6rBRJPYqlGAQE1DyHObvEnFPGDcJA94rX4GhhGE8GaIrKAy3bFonaxHieyYk8e+7uI5ONEU/cnHqgaOZ9xRWTuH7jPLjlePlLb2NYBve89y6Gz4wzfPoKpVyVeDpKpVgj8AJyUwU6+lvp2tzG4O5eVP1acmTXbXzPJ9WSINuZxrB0LlcmqXiNJjHxqXh1Zu0CW+LdWKrBUGWKklslqlm0m+nFttqt9B2tcxmOl4V6HTn/9w1u4UBHFz+9dz9HpyZ5eWyYtyfGGS4WuFIucXZ+ji+fP8NdrW081jfAI70DtEajqLfJatfwa+ScaapeYXFZb3Qb92efodXsXv/EW0AgXQr2EH7gUPNmKTujVNxxJBJVGOTtSzT8eRSh4wUNAlxy9lkEChVvkrI7TskdQ1eiBNIlpnVS82Yp2Jdxg7WLIt8MFEVhbjxHrVQn3Z6iUbVxHZe23hZ0Q8OKmaRaEjduaBUEQUCuVGNkMk8mGUFTFaZzZS5dmWM6V6ZUbTA1V+LVY0NcvjLPyYuTlKs2F0Zn6cgu7VNVlaYQVdhvTUkSSI+AABGEimcr+iQUdicfoCeyBUfaWEqEtN6GJnSuVPO8PTfCTKOMlJInO7exK9113X6MXJrh2NtDaLpKV28G1/GZmcwjJfQOthGJ6tSqDqapIaWkUmowO1PCtT16Blo4f/IK9bqDFTHQNBUp4cEntq8xZpLx8QJvvHmJdDpKxNIxLZ1oxAQkQSAZHZunWrW5555BhofnyOWrmIaKFTGolBvcf/9mTHPdGQI3RLFQY+TyDONjOcav5Cg1FaUB2jtSnM9PcvLYGPlchY7uNIqqMDI0y7HDw9RqNvWag6oqVMs2uq7R1pliYFMruq6iaQqVSoO2juRtO953cXOI9W0hf+JNGjMTyOWhotUy5YunaH34GVTDAhuS8R6CwA89i96N1RIXchdXhZTUp8cwt20i9fH3o6YSqOkkxkAPfrEMUuJemaJ28PjabdwCapWAP/udApoOvgeNesDBV8KJq+tIvvulMpWyj+fCkTdqDJ0P8xVzsx7lgo9QBJWSz2vPV3EdSb0a8OLXK0TjAhmE+XN2I+DU4QZD5x2CQJKf86lWAt58sUoyHRp1izn/RsKx10VQqxPUrkM2A4lfLOEXS9f8tNqyoFgmKK593qTj4o5NXLM8KFdWVU2sViTVys29uzQMVKGhiVDjoe6XAYEuDHTFohYU8eX1Rf6EUDCiKazYtU6CwLWpz42vPN6ReRrTZWQQILSQAKIIhK5gz1Vw8lWkHzD5jRO4pTr2dAm/apM/OELLQ5toTBcx25PUxvL4jTvlPRIouoFQ1MX3oAz88HvzL76PEktTIs70hUmCW1DpXY7AaazZVqSjn9XqowReqNTfvq8Tt+ZSzy0QxI1fF36lTP7lFxFAYDs4kxPknvsOQVPBs375Iu7sNF6pFIbTT02Se/7ZkBgqCtJ1Ceq1UGFUC9+X0vOwx0aZ+8ZXEYaOEEpYkN6x8UvFpeeilDgjl5krFFY9Nul5CM9GUcCZniL33W+H5TcUFku9QJhL7ObDaIuZL/4FfrmE9H1q507TGBvBL4X3ZfH1V0JhpdKtKfuuhkAG2G6FQnUMKQOkDLC9Mo5Xb0aNhHGJgfRRFA3Pt2m4ZRRFwfPXH/Gx7hnJaHWOPek+VKGs8PYtx8H5S3xt/OAiUdSEwn3ZrTzStpNN8XYSWgRd0VBFaM3zZYAdhMI3J4ujfH/mNCPVWZzA41RxlO9MHqHVTLA1EU4GLUunXKxTKTeIxMKHzvJ8Nl+G9fzWOr7bgSCQGJZOOV9l7NwEyZYE9UpI8BrlBoqmkG5P4rkeLZ0ZDHP1EFAzaqBqKqqmoKhhyEPVb3CpMkGbmaLhu5S9OhHVQhEK806ZklvDUk1SeoyKVw/HWFGZs0v0x64VW3knEdV1onqKnkSSzekMT/QPMlEp8dbEOK+MjXBqbobZWpXRYoG3Jsf5k9MnuKejiyf6B7m7vXOxzMbNou5XqXjFRREbQ4nQZvaQNTs35KExlATd0YeQBEi5G12JsSX5USJaCxG1lYTeBSgEuAiU8OYktNxkzR1oSozt6U8SUVuJqFl8XHQRxZcOEp+MuRVD3Vio6fUwsLuHjv5WfN9HN3UCLyAIAsyoSf/OblRVIZq8udqUsYjBI/s2cff2bixdQ1EUYhGDh/dtAilJJ6Poqsp7H9jOY/s9WtMx+joybOtvxTL1MC9ZESRiFooQ/Pj77yFiGqgCspFHkAQIQFWuzT2OaHEi2rXjdCI/QcaIsjfTgyIEreaNxzIIJKalE09aNOouxXwV3dBQVQVNU2jrTDN8cZr8fIXWjhS1aoNY3ERRBLm5MlPjeVKZGKqiUCnV0XR1zZxi3w84d26SQqFGMhnBMDVSyQgXLk5z994+Ll2eIRo1MU2NSsVmdGwe09SJx0yqVZta7fbX9rIiBolkhB139fDIEztAQiRq0NKaQDdUpiYLvPjsSTo6Uzz02HZMUyeZitI30ML7P7IPAF1XiUZN8rkKkUj4TBMCVEW5qTI/7+L2Q2h6mGO4ijEqcO1QnEIIipUrqKqBZYTCZ7cD0nPxcjmUMRN3fAqhaYvqhkjw7pC4zQLGh90VdfmWh4POTi2RkLkpf0VOYaO+NFb5uZXbLLw2Ftqcm/YQM81pcXNZft6n0NzXD9C58JcaESVBQm3BDmr40sEUEUwtSkSJ40kXX7rUuZbsXg1FM4mne1HWKQzj1138VfLozI4kMy+cw294oTDLZDiB95uqnm6xTv7IGGrEoDaaxy3fHnK2GvRYEjPdjqIZqHqoN6CZ0fBedh2EqtHITYEMsLKdCEWlOjWMDG5dPf9mkDszi1O2KQ4VKFzOUZsODU2RbHTjOYu+j5dbUoMN7AaB3QAEQjOaYaNhdILQDBRVRdYbuLV6c5mGoptoRozG7ASqGcG36wR2A2f6+nmJQsCuXS6nDw0jFLAsQa0WYEUUHDvUVInFFQa2Rbh4qoFavoJjSzbvNJmd9Jr5tz6aLvD8AN8DZ2rJ8OJXKviVJYOLl78z4bkArl+nUL2ywujnNXPN/eCq+YS/8MdZ/LxerOuuOzg/xES9gCsDLEXnsfYdK2obQihm89UrbzFSmcGXAUk9yk8MPMqjrbvoimSIaeaasvdu4LEr1ct92a18+cqbvDZ7lkbg8tb8BXYme+mPtWEoGrn5Crbt0tKaYHwsRzRq0t6ZWiyfcXBulN+/+Cb9sQybEi0MxlsYiGdpM+OL5QluFfe//240XcUwdR796L2cOXgp3L+UCEWw497NZDtSIATJbBxFXX2/6bYkZsSgWqpj1xyCIGBTrIs2M42l6vhBgE+AJjQMRcMNPLYnetCEhq6oeEGo7hnmMa6vb5VKg6NHR3nt1QvkchV8L7RkGabGvv39fOpTDwLgOh5nzkzwwgunmZkuEY0a3L2/n/e/fy+WdX0VXCEEKdMiZVoMptLsbGnjg5u3MVTM8+bEFd4cH2O4UGC8XOJCbo4XR4bYlE7zd+57mN1tN0943cAOS2M0YSgWUTWBKjZmOFCEhqWFlsuFcNsFcielRCcW5kU0ZwuCpc8L31PGQPNbbIm8El+xze1CNBEhEg89vleTYimjqy5fLzRVpTUdoyW9JFQkpSRqGQix1G6flV62T0k6EVnx+wL6OjOLnw1142GxAIjQKKQIgaGo13im3WaegaYoi/vv7s+SaY2jaSpBIPFcD0UNQ7V1U8NzfExLp7U9SXtXmvauFKqmojcjAtLZOKap02g4nDg0DBLsukskdm1UgqYpHDgwyJ69vUSansiR4TkGBlrp6koRT4TEWdfD9h99dFvzs8axY6PUhINtuwSBtSjCcatIpiLs2dfHscMjvPCdEwDcdXcfHV0psi1x0uko05MFOrszdPdlUVWF7bu6mJ0u8sK3T4AQdPVkeOKpXUsn4V38pYM9P0V8cAfliyfxlklyClUlNrAdv1bGVGJE4yaqYhC1sjhuFc9fx2RYCCLtPcT7tmOkW8K6ilehcuUChdPHWLo+lrEn787XU5UyNBI6Qeidi2pp6l4RTRikjW5yzhUEChmjk7wziSevb5hZjfytd9m7WIKCii4MAuGHCuRKOlT1Rm8K761vAFXdIt7Sf8vH4+SqNwwttWfLKIZG4PqLebd3AjIIUHULMxXWkg48l8Bzkc3JfuDa6JE4ge+GecRSomgavvODIYtOxUH6kvFXR3Fr7mLu4uVvXsCt3B5Dp5FuIda/Del5OKUciqYReB5WSwe+3UAxTAK7gVcr4xRzGOkWzNYuBCIMl/dvPDZCQFu3zgFTIZFRsRsBQSDxPTDMMKIgN+ORatF4+BmdbLvG1JhLLKnS0uGjGwJFhXSrxpvPl5kYcW8pquBW4AcOjXfAeLAusjgYayWQks5IkrxdXVVk5XTxCufK4zQCF4HgR/se5kNd99JuJW9IZnRFo9VMktJjRFSDhu/y+tw58k6VM6UxHqxvYzDWjm17NBoujYZLsVgjk4mtyD2ea1T43tQFYppBXLdI6CYJ3aTFjNEfyzIYzzIQb6E/lqHVit+UUme2YykHsDPWhhHR8RwfRVUIgoBUSwLD1GGVyfJybL27n7eePc7k5VlGzk6w5+FtpNuSxNcIJxXLJus3A8fxOHHiCl/9ymF27+rmwIEBTp+6wiuvnOfpZ/Zwf7PsRrjeGL//P79PV3eaffsHqFYaPPfdk0xNFvn5z75n1dqWq0FVFNqiMdqiMbZmsuzv6OJHduxmuJDn6PQUR6YnuZibZ7iY5yd2383um+pZiAAfn6UbZqE0xs1gLTK3/HwuX+d65G+9690K1rrOboegkBBXlXxuepSuu/4d5BItRoyRyjwFp4YiFA5k+4g1Q8lrrstbU2NUXId72rvpiiUQQhCJmovqulffR0IIXMdj07ZODFPDMDWicXPF2MWb0Que63PPQ1sQikBfI0xUCIX29uQyr4RkYCAM2TRNHdPUVxxHZJnq7949vbiuTzIZWfc9th5omsqO3T20tCWZmi5y9PQVvn9siJNjswhFMNiZ4Wd+4Skc3+e5V84yfGUeTVHo6cuQTUU5dW4STxdE4wbdgy1cnMxx6twEnW1Jkt1JvvT8cZJvRdixtYMnHtxGpWrz+W8cpr8ny8j4PLbt8bOfenix7+/iziB/7HU6nvwYXe//MeoTI3j1KophEmnvIdI9QO7w96kXp9ClQRD4eF5t3WFI0c5+WvY/jtnSgd+oE3jOKk8zgazbGJv6UJNx6sdCxWC9pwOtvZX6kVO3tb8QEsKIGqfq5lGERkdkK9ONi7iBTVJrpeGV8aSLpUYRKPjSxVCjYRmpd0neO4Il00FAzS9SD5ZCY6WUSIIbhqACqLpJPNt3w/VuhHXlIEoIbkPt6xvBt2tUp4fwGlVUw6Semwpzg5uhgzQdAtAcK9+9pfqPAoWU3k7dL2MHVQQKSb2VRlDF9mus96awCw3MjIXREQujbITAKd0mESslNCBIGaDHEiiGhVA1VCtC4Lqh0IwVFrgPHBs9nsJ3bPx6BbnBEkHJrIqmC6plSbZdQ9MEsYRCrRIwO+HS0qHhu5JqKSAWV0mmw3Bm3RBIoF4JFvN3f5CQ3Hmmuq7ZtCIEp4pjVNxW5pwK25JdaEJZMaE6nL9M0Q0tejuS3TzWtou2dRDF5dAVle3Jbh5q3c7lyhRTjQLD1VlGq3MMxtrpH2ihXrUZv5InnrDYsv3aEENPBhTdBkV3yVqqCYW4bpLQLRKaSdKwaDHjDMQzDMRbGIxl6Y9nyN6gmPhqyHakN7wNwN2P7uCVrx5mZizHa984wrb9gxx4z65V1VCX42YJQKlU5/SpKwR+wId/aD+pVITOrhSjYzk0TWXTplAkpFJp8O1vHUfVVH7ypx4mk4nRaLi0tSX43B+8yiOPbmPPnt4N79/UNHoTSXoTSVoiEcqOw2ipwKiqUrTdFfmtG0UgA7zAwVsmpiQW/3sX/yuhM5LkTHGK0WqOgVh2BalSFYET+MzUKpQcm67YUt7k1ffN8u+6od3wvgPQdJXWZcai1XD17SmEIJVaX+mXzA1KAd0KojGT/phJJGFyYmiKuIjw6P1bOH1+kqlcmf1393Hu8gzTs2WeeHAboxM5JqeL3H13P46AU+cnUFWVQMB0sUo6FWV6vkyh4fCBp+6iVGnw6tsX2TrYTjSic2FohnQqwsP3bsb3AzTtzqUGvIsQ1ZGLzL3xXZK77iG9536EoiClxKuUyR99ndKFk3j1EqqRIWa1oGkW1caNi4IDRLs2oUZi5E+9TW1iqDmhXQmvFoZdKfEYaja9uFxNp9D7uu4IWdSETlRLU/UKOEEDgcANbPzARVdCo08g/WVV3IINk0RFM4ilu4ln+7HirehGDKGoBL6L26hQL89Qnh+mXp5dFh54eyeQQlGJJNqJZ/uJJFrRrSSK1uyf5+DaFerlOar5USr5ce6km8OIpIhleomluzGjaVQ9ghAKge82FUrz1IoTVPMTuHaZelDBc118PFzp3JQrVlF1oslODOt/rdxoGfh49Qq+a6MoGr5zkwJJ698jumIRURNMNi4ufo+qKab9y4vigDdC/9ObaNkdRoItELThb19aoYaqxKJYO7YQNBr4hRJ+ubpqLuzVcMsFypdPN68TEYrvKEqoJ+G6aLEEeqqFxtQogeuEoaeeG3oUr77uNRVzsAcZSJzh8UWBriCAI69WF58FriMxLYGqC1RF4HmScsGnVPDxXInnS1RFYFiCTTstUhmVy2cazE17FOa8d8TwdHVY/DuNdQvcDMbaGIy3MUjbqmqolytT2H5o8diXHqTVTKJugCguwFA0tiW66I22MNUoMNcoMWeH8eypdJS77u6jb6CVet1ZUaPuevBkQMGpU1h2I+qKSkI3SepW81+EViskkP2xLAPxLP2xDCljfRO9jaKlK8P7/9qjzE/mGT07wRd+8ztUSzXufe9dJLO3L6dtAbbtUSzWiURN2tpCz0c6HSUeN6nVQouQlJJq1ebUqXE+8IG7GRwMCWQyKXn4kW38/u+/wuFDQzdFFku2zdHpSd6cuMLpuRkmKmXmazWqrkPMMNaVZ1rxikw1Rig4M9S8CnW/TM2v0PArlL0C8/ZSnHrVK3Mo9zxDlbWlwhNaln2ZJxiM7Vr1d8dvcLZ8kOOF7wNhiOpAdCePtn103f22/Tpfn/jv1P2lh+RHuj9DWm/bMPEPpE/BmWWqMcKsfYWSm6cR1PCacem6YmCpMRJahqzRQZvZR9Zsx7iOMNGtQsqAojvPizN/QdVbSt6Oa2ne1/ETxLX0dfv57NQfMtsYv6Fl7EDmPWyN72OkOs/mRCv3tfZzvjRDxbUXVYFdPyBlWEwpFarLBD5y9hQniq8xVjuHQGF78h7uyz4dhhDLgKpfZrx2kYn6ZUpujkZQI5AephIhrmfoNPvpjW0ja3Te0lg5foPh6mmm7VFy9jR2UMMNnA1ZBe9OP862xAEi6s0TS9PUyaZj3LW9i1K5ztlL08zMVxganeP42St4gU+xXEcRAsf16GhNcOocnL4wyex8mdZsjGTc4tjpK5w6P0EsZmA7HqVKg0KpRjSSQlUVNve3sXPLrY3Zu1g/AtemdP44jdkptFgcoemhMmm9ipOfxbfDXJ+IlUHTLBRlIQzwxtDiCbxKkcroeez5qVXXUeJRovfsIfrgftRUAr2vK5zkqSrO0Niq29w6QjIY0zLM21fCYxUGiqIS0ZJE1BSetImoCaJaEieoE9ESRLwkbmBf/94TgmTrZlr69hHP9KJbSTTdQlF1EOGzI/BcPKeGUy9Snh9mbuwYtcIEMvBvS16ZourEWwZo6d1HNNWFYcVR9QiqFoqihAXm/ZCouXXcRpl6eZb50SMUps+z0Vls59ZHSbQMhn0Epi+/QWn2EoHvoptxsj17SHfuwIq3oplxVM1EUTQQ4bsg8D18z8azq9TLsxQmT1OYOkfDvjFJWICqmRjRNFYsixHNYsUymNEsVqK12efmerpJ+6YHSbZtXXfbF9/+M3z3ThOy9WDleZGei8+tiegoQiNjdNLwa5hKBFfa2H6VVrMfAcw7EzT8Mk5QJ6onm35LiRs0iOqp8D29zsslu7ONwsUcpZHCYs56bXrlOTb6ulETcaTnoXd3IGbmcdZBFqXr4Llre0/9Rg23XMCvVxe/r71ygJcrYvR2kvrwE9iXx2mcDovVz0/d+P6srVITtF4J0E2FUt7Drt+CUUhRUDQ9fFZ41z8Ww1DYtNMikVY5e7QWPn98iWkp2I0AVRfUb6F+6XqwLrJoqQZtVpIrtRx90ZZmqNnKCeC8XcZtJsv3RFuw1JsPOWoxEqT1cDJU9RvMV8rMzpQoFmoU8jUaDYe5mTKpdJSevqXcp1YrzoFsLxO1IvN2Fe861jU38MnZNXL20oVmKCpJPULKCAlkyojQZsXpb3oeB2JZ+mIZYppxw4n+xeMj2NcRqxBCEE1YPPKRA9QqDc68fYn8TJE3vnWUwV09dA62kczEMCwDZZ25S5n2FN2bV8/7i0YNOjqSXLw4zbmzEwwMtHJlLMf8XJn77tsEhGSxXnep1x06Opc8KEIIojGTVCrC5OT61Zwc3+fM3AxvTYxzZHqSkVKByXKZgt1AAFuzLXx4y3bu6exmd+u15Q+uxpw9waHc81ypXcALHFzphh5F6V7z0vekw3RjlOnG6JrttRjdbIrvWfN3H485e4IzpbeB0Iq9Wq2/68GXHhfKRyl7+cVl7+v4SVaVE75OGxP1Ic6VDjJev0jRnafmlXGCBp70FkUqFKGiCR1DsYioUaJaki5rE3vTjzIQ27mh414PFojid6b+kDPFN0OrMZDQMnyg69PrIqkj1bOMVs/d0KLZF93Bpthd5O0aHZEkPdEMZwvT1JflZmmKgqlpdMbitCyT/G4ENa7ULiyex4gaY2/qUQQwVD3N8cL3mWmMUW56JzzpImWAKnQMxSSmpcgaHWxLHGB/5skNEbWFPNUzpbc5kX+FWXucql+i4VfxpLthgZGuyGY2x/bALTjqDF3FMsO6p4oSKtWqikI0YtDRluT+u8OcW8vSaW9N4Lo+A30tPPfKWRJxkwf3D6JpKrGoSToZ4b67BxAiVObtbnpeFUWQvEm16ndx8whch8bMlea31csUOE6FwPeIWJl1h4wHrkNwA+VwaTs449Ool0dRMykapy6EJMJx8WbX58HcKGpeETeoN8PKJTONy7hBKDg3Wb+AHVQJpM9U4yK2X8WXHtP1S9jNckhrQVF1WvsP0Np/L7FMD6pmrhKdoKAYGpoRwYxliSTbiSQ7mBl6E9eu4vu3lsOlW0naB+8n27OHSKINVV8jRUXVUNTmcUQzxNLdxFJdxFsHmbzwfXxn/SUNouluMl27FvdVK01TLUxgRjO0b36ITPduzEh6VZEZIRQURUPTLcxIikiijViqEyveyuzIQRqV618Dqm6R7txJa98BNMNC1S1UPRISdM0My2Qsg6JoRFNdRFPXV8Nesc3hL+D/YMvihQhrn93WJhVUUnoHEbWOJgwkAbZfW8zj7Yns4lLlLYKrQn7D7xs7lsD1KQ7lyZ2ZW3MdEbFAUxGmidaSJqjcntIa0vfw6+s0xCgKajqJlJLGueEw5zMeI6jcWAF6LYRCWLcmDCY0HaOlDdWK4MzP4lWuL/CkGYJoQiGeVtlyV4SuAYOpUQfPlfRsMnAdyRvfLeM6d87tuO6krol6nprnUPVsOiPJ0Cq57OHp+N7itR9RjZvyKi5AVzS05oPBDXwCIdF1lWKhRj5XoaU1gaZV8f2VBGFHqoO/v/cZSm6DvF1jsl5ivFZgolZkvFZgul6mfp0nhRP4zNkV5pZZwUxFI2VESBkR0rpF0ojQGUnQF8vQF8vSF0vTG8sQVVeOxxd+81mmhq9XU0+gqALP9SnNV3AaLqPnJpkcmuX4q+dJpKOYEQNVU9btgXr4wwf41N/90Kq/JRIW+w8McvHiDL/1W8/T1pZEUQT79g/w4EMLljmB2hT+8K6xdEg8z18U/VgLEhgu5Dk4Oc7ByXEuF/JcKReZrdXwgoCOaJwPbNrKA929bG9poT+Zpj0aW1ftRduvk3emyTmrW7b/V0TDr3Ki8Boni68x2Rim5pXXtIaH9UJd7KBG2ctBM4Vgl3zgth9XIAOK7hzPTf0JZ4pvLRLFlN7C+zt/mt2pB9DFtROsq5HSW0joGep+pWnpv/7Dbk+mhwulGZ6bOENUM+iMJhfjM1RFYKkaNc+l7K6dP1H3K8zaV5hpjPHG/LeYaVxZVezCkw6e71Dzy8zbk8za45TdHE+0/wiWemOFWYlESsnr89/kcO4FZhpj15BiVWg3zNfRFZOYmgxJq96Bqtxa7p8IE6pXLItFDXZu7aRQrnP41BgC6O3KsGWgjYhl0NOR4oVXzjLY18K2Te2YhsqWgVZ2bOnkyMkxhCKIR0x2bumgVr/9iq7v4saID+4gcB3qk6PL8p5CxPq3ghDUJ0ep2TkUoSKlj7/OmXNtYpj0znuI923Fq5UXrfrLIV0Pb3qW+uEAEbVwR8ZXaelazI01+LN/cREzuvo7wHcDrpxdfXLnSXtF3mXFWwqDK7tzq3/2bkBchULrwL10bnmESLI99JzdAEIIdDNOumM7qm5RmDpHsA6hjbVgxrJ0b3+STPcezOj6ayULIRCqTizTgxFJYVgJxk59B7dxndIn10FI+LrIdO+mpW8fmhFb93xEUXWsRDttmx5AyoCpS6/jXcfDqKjG4r5uR779ncArfzHJ6VfzqNrqx5efbDA/cWPBqLDEwTJhPFXDSLUQ7ejHTLehRuOhd1cG+E4Dp5ynMTdJfeYKfmNtoiOEEoZfo6IgUDQNJ6jTCKrI26B8PPDMFjSzQbw3yfYf3U1lvLyogjr+yijlsSXS445OIFQVNZXAzxfx5m6sCCo0HSOZxcy0YySyaLEkqmGFNVwFBJ6H9By8ehWnnMcpzNKYnyRYyxMZBPi5Yli7VFUJqrVVa8Xe+MAUzHQbVksHRrIFLZpANSNN1ecwnDjwHPxGLRTeKeVxinM45TzSW/0Zq8YS6Mk0XqUMNyCLgS+pFH2SWZVNO01SWQ3Xljh2gBVVqFU8gjusSr5uspg2YkzWCwixulXd0gwUIfClpOE7BLcQM+8ELm4zJ0IXKhHDIJGIMLipje7eDMlUlPaOJJ638uJPGxEOtPSFeRoyoOLalNwGJbdOyWlQcOrMNMpN8lhkolZksl5cEZ56NezAY6ZRZmbZwzai6iF5NCKk9QhpM0JnJElPNM0nBvaR0C0unxxj5My1NYxuBNfxyE8XyU9vvB7L4O61w0M1TcU0NASwZXMHd+/vIxYz6enJ0tYW5gEIEXog29qSXLowvbhtEATMzpTJ52ts2bK653K+VuPQ1ARvT45zPjfHaKnIRLmE7ftENI17Ort4oKuXPW0dDKbS9CaTRHVjQyJDrWYX92WfYXvinmt+q3gFhithiB+AqUTpj+2gP7pjzfaiaoIO69bV1e4Ual6Ft3PPciT/IjlnCn/Zw15BJa6lietpDCW0+Df8KmW3QN0vExCgoNBidNFh3roowHIsEMXnp/6UU8U3cGU4WUsb7by/46foj26h6s2S1Dpw/QaaYiKE0gyXlShCJ5AOuhLjkdYf4u7043hNL7ET2DhBnaP5l5m2R6/xvMU0g82JVq5U8yhCwVC0JQEFGRqXHN8nuI7VtujOcyT3EqO1s0w2hhEoxLU0bWYPCT2DKjQafo15e4o5e5xQl9gn50xztPAyCT3Dw60fueE4SSk5XXqL12a/RsENDUcCwZb43WyK3UXKaEUVGl7gMGdPcr58iBn7ygry+ED2AwzEdhJRE5iKRcbsWDzfN4NE3OLBA4OLOYRbB9tob03Qmo3Tmo1jmTqFUmgBTicjqErofdzU38pPfeIBEjGTiBV619tbEzzz+E5mc+EE0DS0RQ/lJz90gLY7EE7/LtZGes/9NOamwjqLV+UU6qkssb4txILEYt5QxMxgexVc/9r3X2rHASIdS+8T1bCwWjqJtPUQ692CVy03ydDSfVa9cony5dN4uQKisH5jca3kcfJ7d05afqNId2yjbeBeIsmOFd4s165SyY1SyY3h1AuhkqVmYsYyxLP9RNNdaHqERLYf3Yxxs0nzupWkY/PDtPYfQDOWjFJB4FEvLeVH+m7oUdX0CFYsS7yln3i2Hwgjv3QrTmvfAaQMGD3+TXxv4yUgoqkuOrc9RjTdvUgU7VqBSm6UWnESp14mCFwURcWIpIln+4ln+5r9D8mrYSVp6d1HozLP3OjhtXcmA1ynRqNyrbdKIFB1C91aeqZIGeDZNbwNhJVuVADlaoyeqjB6av0htWsiCMI6hkLBaukgteVuol2DGIkMqhVDMcwwhFvKMLTXruNVS9j5GcrDZygNnQ7VUZdBEuD4dVSh48oahhKl5MzQYvYiUKh6eUwlRsbsIaG1kNBasYMaaaObhN5Kwm2h6M5eNzTbq7kEts3MoUlUS8NveAReEB5nU/FYScabtQ8V3PEpnPFJZK2Ov4Y3T6gaZqadWPcmIq096KksmhVHtSKoTXGbhfBjGQTIwCNwXXy7hl+vYhfnqI5fpHT5VBhqv9CuoWPt2hI+olQFrS1L+dlXNnSaFN0k3r+deN82zHQbWjSBZsVQdBOhaeE5AgjkImEM3CZpbFRxywXqs+OUhk/jlpY944RAjURRDPNaoYNV4NiS4hWXatknElUQiqBeDZDA5TNg18PyHcuhmhFSW/cR610Zpi09l9Llk5SGNpZDvm6y6AV+6O1bSDq9qoNZI44mVHwZMFqbpe47xPWby/ebtUvknJCchaqmFqqmkG2NgwShCOyGQ2ONQqlCCHShkjGjZMxlD1sZUPNcim6dotOg6NQpOnVyTjUkjrUSE/UiU/USs/Uy7hqEt+671OsuU/Ula8D/n73/CpIsy9P8sN89V/l1rUJHZKTWlaVVd9e07pkesTOzu1iuIhYGwIxLLGk08gEPfCMfSKPRqIwkYFgQwC6WYhajtkf2zHT3tKjq0l1VWVmpZWjh4dr96nP4cD09MjIiMiKysnp6x+ory8pID7/Cr19xvvP//t+XMSwKlsPXJk6R20Uu8jcJKRXNZo+1tTbf/NZ5Xnn1xI5mHLlcite+fIrv/9Ul/uovP+bkyQnabZc//7OPqFSzvPTysR3X/79946+5Ua8z327SHYSqHiuVeX58iufGJzhWKjNbKFJKORiPGWNSMEc4V3hlR+nemjdPO6wPyaIlUsymT/NS5Zd3XZ+G+FQD788SkYq42PwJP6v/gI1geVhxy+h5DmfPMps+S9kaxdbTQ9fXSAZ4skcr2GDFm6MXt5jNnCZtPDlTAKkkraDGD9b+hweIokbFGuMb4/+IM/mXqHk3kCqiE66S1kv4soslMvSjOv2ogSXSCGEw4Zxnyjm+xaE0VhGRCpnv32B9QNQexLXWKtVUllhJbrbXGUllqdrJICaUMW4UEu0xIKj5ywMpb5usUeRk7llO5J6laFax9TQCQagCumGTu/0rfNj4Ea2wBig6YYOLzdc5k3+JorW7dFophS/7vL7274ZEEeCF8jd4tvRVRuwpUvoghkVJelGbI9nz/Hj9D5jrXSVSyb1NQxsSy/3iRmudHyxfpxsGfGPqFBfKk8Nha8o2OTT1gHR/QBLv4/jhnT9TIefw/FNbJ1Ys02B2usLs9NaQbCEkx4+7+NFbtFyTgvOFfe/753h8pEan6C/N7eiYHfW72NVxAv06XtAaBoDLXSqLVr5MamRq8wUFceAjDBMzW0R3stsIadAYDPLjGBU/mfzGnzdMOyFYmcLkFqLYb62wPvczWqs38Pt14sBL8nWFgWGlsdNlCmMnqMw8TTo/hpMdeSzPC92wKY6dZGT2+SFRVEoRBX1q996nsXwFr1cn9AdkXSmEYWJYaVKLZfKjxxg79gVMO4umaeimTXXmWfrNJdbuvnfgPko7XcJyCgjdQClJY/kqGwsX6TeXCNw2ceQlofdCJBEQy5cpjp2iOvss6XzSr6xpGqlclcLocdrrtwjcnSfCo9CjsXQZt7VdOSQMm+LYCcaOvTp8TUYB9cWPqS/u7kvwMB6HMH8WUFKCEORmT1E+9wrpicMYTnZ7RVUDXejopo2VLZKqTJCqTGKXx6h//CZhb/NYShVR8+cQmo5UEbpm4sVdYhURExHEfWIV0QxW6IYbg9zLkGa4Si9q4MW9PZU96xdXifrNHRXu4SCnUs+kMcZG0EsForUa0XodzbYRYYTsP0DsNQ1ndJrCsQs4ozPYhQpGJp9UEXdBQs4MdCuFmcmhlMIZmyE9PoszOs3GpbeGPdVKKuKei+q7icPqAedu0uOHKZ1+PiHxxRGEsXNmevKhk4giYVrgAPnkGSujEDNfwl1f3EoWpRxUHNW+yKKUCrcncXv7m+zQbYfS6ReoPP0l7OLmM12GAc0bHxC0D94WsG+yuOw2SQlzV9fKY9lx3q/fwpch79dv8+2J56jYuQO5oUKSuXi1vchcL3nwjKWKFMhw59Ya9Y3NGZ31tTaZrM3k1P7z2sTAFTVr2kwNOKRSikDGQ+LYHFQhW6FLzeux7nVY97ps+D1qfo+636MVuNsuqV4U0IsCogGR+Sf/+W/QaT4ZjfZ+cejk7tp9TUvyFGMp+c6/e5/Xf3IdoWvkcg6nTo3z6hdOYFkGjmPxla+codvx+MEPLvOjH16FQT/Sf/Qf/RJju7hB/uDubTpBQCWV5muHp3lhYopT5SpHiiWmcnlMsX857W4whIGxyynrGFkMbfMmIzQNS0+ReYJE6eeJ+d41Pm69QT1YHd7AR+0Znil9mQm7TDU1Q9GapRvOAxqx8umGqxTsEWac5xizc6x5l8gbIaFsEcgOreAWumaSM4+QNad23bb2wP8fhFSSZljjh2u/x6XWTwlU4j5YsSf4xtg/4kz+RXTNxBQpGv4cEQEV+ygb/TsE8R0skcWTLXpxDV0zGU1t7aPUNA1DMzEw0TVzx6iRmt/lSmuFQ5kylm4QyGiYN6prAjlQFTwKvuzjy/7A4Og1Xih9nbI9vi1qRaYkY84stkjxw7XfJ5AekphGsMad3ic8a31l120oFPP9Gyy6t4avVe1JvlD9dar21Jb7oqbp5MwSWaNIJH02/CVaYXIzv979gOfKXyNvVvZ9/XxYX+QP7l6k5vWopjKcLY7ty0DqSUGqkH54C8c4gnbAnNPP8fjQTAsZeOzUf6TCAGFY9P06ceThpJLM090Gh+1bl+iv3Bv+W5g2DAxddkPYaR54n1NjOca/chx3uc3qj2/tvQCgmYKZXztH2PZY/sGNA2/zUShOnCZXOYz+QI6k36uzevttNuY/IHxIRinjkMBtEbgtvN4GceQzdvRVnFz1MeqKGqncCGNHX8FyNp9bUdBn9dZPWbvzDn6/sW0pGQUEUUDQb9JvrxJ6XWae+jaG6ST3VMth4sRrdBsL9JpLB3JKvd+bqJSksfgxK7d+Src+v22SQcmYyO8R+T0Ct5Vs9+irWOn7PcwGTmGcdHFyV7KoZITXXcfrbm/f0U1nmxxXyhi3s0pz9dq+P88vDDTIjB+mdOZF0hOHH0mQHoQwTFLVcYx0FmHarL/3fSI3OScVCjfeLmdshlvJdztc2/LvTviodqmtCDo+Ycdj5iuHqV+t0VtJtj3xyjSd+RbdxQ5xq4NeKmCUigjTRNjJhHywuLyVLCqFXRihcOwprOLBDf9gILs2TOzSKEYmh7AcVt/6C8JOHaKIcGEFvZhDL+SI1varXtAonnyW0tkXyUwcRtuHR8luEIZJ2Gtvlw4LQdRuEfU6RJ2DqwgfBd1OD4jiF7cQxTj0aV79GbUPf4zfWH3EGnbGvsmixmYY9k54rnyUP116n1bYZ75X47vLH1CysoylHu2G+CBiJfmgfps316/SCLpowOHMGKUoy+pKizCIsVPJLntuiP6YFaotn0vTsHWDUSfHqJNY7Se9x4p+FNAOXTqhP/yz7La43alxvbXKpeYyvV0yb770G8//3GOcdjvMSsHycov33rvL5GSJsbEChilQUtFquXz3uxdx0hYvvXQMXRdMTBT5rd9+gRs3Vuh2PIShERY6PHVhAjTFR81PuFA4t+V7fXZ8kpPlCuerYxwtlThSLJE5oMz0cySIZMjl9jusenPDylrBrPJ8+es8U/wlYlnDjVdpBzH9aIVQdpEqIlJ9vLhG3vQZTR3G0HqEsk07uE2kPPrhEqPOCxhir4q/hnjIJTEhiuv8eO0P+bj1xsCmXjBiT/G1sX/AmfxLGMJEKUXenEBoJkLTSetFxlKn8eMeKT1HrEJWvSuUrENYYu++v4dxvjjJfL/JsVyVmbBEyUoPSaVUilgpMqZFxnz0Dd7QTA5nz/Ji+ZtU7ckd3yM0Qd4ocSr3Are6H3OrexEAX7rM9a7xbOkru65fKcnt7qUtldET2WcpW+O7TqBpmsbR7FOUrXE6YRNJ4n7bDNYZSx3at7lS2jBJ6QYZwyJtWIife4aMQso+fryIrqVxzJ3VCJ/jySJ2e9jl0SQy46HfmcUqMgqJIx8nVUbKENMY5A3uAL++il/fHFCUzr1IenyWoNsibNcJ2w2Cdp2o3/lUVUQzn6L60iytK6v7JotCF5Sfm8Fdaj2SLArbwMxa+A13X8HqQrcojp1OCM5Q7SCpL31CY+nSNqL4MEKvTX3hIqlMGTu9swnMo2BYDoWRY2TKm/LfOApor99i9fZbu5KsBxEFPdbnfkYqV2Xi+GvDz+HkR6keehavs04cHTwPr9dcYv3e+3Q25vasToZeh/ryZdLFKSrpp4av204RJzdCc/kKwrQx0jmEYaHiCL+59og17g+a0MkfPkt6bBYlY1q3L+GuP74Lr10cJTt9ArtQpXX7Iv21+X0Fvu8HqcoEZqZAeuLIIHQ+IGjV8TaWCbtNZBiCpmGks6TKY6Sqk+hWoljTNIGRzlE8+Syx22Pt/R98plEpO6F8ukp3uTMkiyMXxoiDmO5iB9l3CeYWE8fOMCJuJSpB2dkuQw06DYJOA7u02d6k4piw3yForhN2m0RuFxkGKKUQpoWZLSQV1vL4UAaqaRq65ZA/fIagVWftnb9IViYl1uwUmmkibYtwcXVPY6HCiacZee4rpKoTW9x37yPqd/BbNSK3hwwGlXXDwEhlMDMFzFwxkalqGnHg01++S/DQRFriEi0Qpo0wTaT3ZBx69dSAKF54kCgq4sCnceU9Nj76CX5z/5MDD2Lfd7OpdIlbnTXSxs6yveO5Cc4VZqgHHbw45HsrF4mV4hvjFziVnyKl71wpgISYbQQd3qvf4i+WPuBKewGJYsopc6E4y6FsFd+MsGxjaLBSHckRf8YNnW4Usu71WOo3WXbbrLtd6kGfRtCjEfQfKXcT+4z1+HkgDCNu3Fjh0sV5fvvvvcC5s1MIXSCl5O6dGv/6X/2Eq1eWeemlZFCn64Lx8QLjA0fUUIa8XnsTX3NRZPm4dZkLhXNbtvE/e/5lDuULjGaynxPET4l1f4FF9yZufP/mqnE6/yJn8y+TNYuE0qQd3qIV3CZnzgIakerj6MnNIVYe/WgVXaSIlYcfN9C1FCm9TNHevYfzPjRNwxSbxOQ+UfzJ+r/jYvN1AumiIRhNzfDV0b8/JIrDZfU0Jf3QYM81itb0sIKhoWFoFhlzBKHpu94TdoOtm5wrTlCxM4QyRh/kvUqlWO51WOl19qwsQtJfeSL7DJWH4jCklARhDCpxA9U0Qc4scjhzdkgWIxXuabKkkGz4Ww0+Jp2jeyotbN2hZI2y6N4ikDEKSSesE6kQk/2RxecqM/zPz/4SoYw5X558IpNqB4Gm6RiigBvexjH3b2v/OT4deveukzlyCq+2TO/eDSK3izAsUmNTFE4+ncRnBB5Cy6AbJpaRIZ+dot1bIgg6j5SgRW4PGYVY+RJ2cSTpSVKSaGBjH7YbeOuL+I3HG4gcBDKMWfiTS4TdRxspFc+Nk5kusfRXV4ndvY18MsUJnFx1i6GN191IpKf7IGoAfr9Je/0W+ZGjB3LphCS/sDR5dsv2Q7/L2p1390UU70NGPis3f0p58jx2pjyYNNOoTF1g7c7buO11DuJ+qZSkvniJTn1vongfXmedfmuZ0sTpYQyHYaWxnISIa7qOkcqgGSZR79HmHvuFkclTPf8lmrc+JA79T51ZKEOfoL1B+eTzeLUl3NrSEyOLdmkUlELTdfxWjfatS/QWbyUTMF5vsB0N3U5h5spkJg5TPPkMqUpyTmmahuFkKZx8ht7SHXpL2ydaTCNNNj1Ko30XU3fIZSaot29/qv3OjGUpvValemEUu+zgbfTRdIFTcZDB5qSR7Pbxb96FWKKiCJHP7VjN8Oor9JZu44wdQvou/dU5vNoSfrNG1GsRub1E8h1HCVnUDfRUBrtYITtzksKJZzDTueEx0e00haPnaF7/gKC5Bkqh/ACjlEcF4Z5EMTUyzcizX95OFJXCrS3TmbuGv7FM0G0iAy9RWiiVuK5aKXQ7jZnJYxVHcEYmE3fq2jLqoaKS7mQw8yWMTA4ZeESdT38N6KkMpdPPbyGKSiniwKVx+V02Lr5B0NrdvXYv7Jss+jLimdIsc/0NlGKYbXYfWSPFr0+9yJ3uKre7q9SDLt9d/oA73VVO5ic5lK4yYufJmClMTUcqhS8jWmGPFbfJ3d4aV9oLLPQ3CGRERrf5wshpni8fpZTKQh48N+DOrTX8IKJazZHaw5lzv5BK0Qk9FvtNFnotlt2EHNa8Lhtenw0/IYmtwCXYIYz43wfEUUy77eK5IfGA5DZbfe7cWcf3Q0ZGd5drKhR+HBDJGKkknXD7DOtLkwfPXnwYt1YS6V04mKkuZ9OsNrssN9pMVQqYuiCTshgr5FistxCaxky1+Km3+4uGRfcWnbDO/Qd60axyLPsUBSvpDTNFBlPkCeLrCOsYJfsU6+4H9KMlMsY0IGgFN4mVi9BsTFFAaAZin5UpgY45iL2QStIM1nm99h0+avwEX/YR6IylDvGV0b+fSE8fcgvciQA++FreOtgg6kHc7qxzKFtm3MlvkVZqQN6yOVMeRdPYEp2xEyrWBIfSp9AeIG9RFFOrd1lb71ApZZiaTKR6prApW2PD90kl6cePdhdUQD/eOpPqGPszfLF1Z0v+XaC8A0VsTKTzTKT/5uTXSkli1UMXOZSKUMh95/l9jsdH85P3SI1OUXnuNbJHTiN9D80wsIpVhGXTuPgmUb9LnMoBijh2iCIPKaM9qUN37ibe+jK6k8EY/DFzJezSKKkjZxGGSfPKez8XsqhiRe2d3SOR7qP68iyGY6H99f7OvWzlMIad3TKo7dbnEsOVfVduFP32Kv3m8oHIoiYMUtkqmeLmc1TGEV5nnXbt4AN8v7dBc/U6Y0degkH12E4XyY8cw+81du1V3XldDbr1e0T+/ttqEnluk9DvYaeLQCJp1Qf5njIMiAMX28mg9rhX7wuawMqWMNM56lfe2dZP+zgIey3CXovy6Zd27AP+NLgvO/Ub69Qvv0Xz2geE3ea298Vej6C1gVdbIup3GHnuK8MqnCYEVqFC+fzLSdUzCrGtLCmriB+0iWVI1hmj0b6LQpJNj1Nv3yZlFbGtLH7QRQgd00gTRi6ut7Fnz2IcxLi1Pl7do7/Spb/WQxMa6x+u0FlICI9mmQgnhcikEZk0mmFgjo0QLC7j37izZX3Sd+ncu4oMfKJ+B6++StCuD+T02yEZVPYaq3i1FWTgU33ml5JewcExMbIFstPHqDfXUFISbTSQ3f6e5kbCSjH6/FdJjUxtIYoqjmne+JDWrYv0l+8mst9HnQ+awHAyWIUKKIXf2F41l2GACoOkd/wJnFq6k02I4lNf2EoUvT71y29T//inBO39ynB3xr7JoqEJ+gOL6t0KRxeKs/zdmVf4/9z9MUtug17k8bPGbT5pzVO2sxTNDI5uYQiBVEl/YjfyqAcd2qE77IdM6SavjpzmlyeeZdwpDStVK8tNbt1YJZtLEfgR6YzN+EQRIfZfnbjfo7jitlnqt1jqNwemNklv4rrXoeb1qAe9PY0yAEyhM5bKMZkuMJUpkt2l8vo3CdPUOXJkhKeemuGNN67z0UdzSfOvlMSR5IUXj/Lcc7O7Li8QlKwiF1uXWPfH912pkEpRd/v0whClFLZhUE45WLq+o0Tw1soGHdcnkpJYSp47OoWmQavv03bXKGZSpC2Tnhew2uyST9uPJItNz+WDtUWagYcpdI4XK0iluFJfI2NaTKRztAKPrGnTDQNyls2okyFjHixL8UljzZunH28S8vHULCVzdEtPnSmyZIxJUnqZjDk9IPQNbFFAF0kVMVIuumZj6QUEJlLtb4CQuIzaKKVoh3XerP3pFqI44Rzmy6N/j9P5F7b1+X3WcOOQd9bvcrtTw9B0ThXGmEwngcIj6Qwj6b0zEAU6ebO8xaBGKUW763Hj1hobjR5KKUaqOSzLQKCT2iKZVUQyyWLUHlEp1B+S+AVyf/KvUAZbHOkMYR249/tvEhoaQkvhR6sIfvHMvv62wq+tsP7W98keOYVdHsPMFpBxhF9fozd/k+69G6gwINA7FLKHkCqi664RRnuTABWHyDjE0DSEZWNk8hjZAsKyUGFA6PWJHgrHNtIW+ZMjFM6MYeZSyEjirXVofrJC984DBgsqee/oa0fJHx9BEwJ3uUXt3Tm89c37oJ4yOPwPnsXMpVBS0b6xxvL3rm/b14lvniIzU2T01SOoWHHyP311WPW4/f97n6C+8+d1cqMYD5ny9ZtLBN7BZv39fhOvt7FtQv1R0M0UTn4M/YEsyzjy6WzcQ0Y+whSJlFbTMBydOJSYKYOwHyJMQeTF2DkLvxOg4mT0WV/6hNHDL6DdD2XVNPIjx9iY/+hAZLHfSsxsDjqqjUKPOHSB4vA1oRsI3UwcTKVEt5xP6VCaVJNKJ5/HqU4irBQjz3wFZEzt8lvIwENPZSgefQrDyaKUordyl97yHVAS3XbIz57FzCb76K7N01u5i9ylvehJIvY9OvPXaFz9GVHv0ZXj2OvRuvUxeirN2Mu/PCSbwrBITxzGGZ3GXb6HbeZw7BK2maXW3JRoJxE5yfdXyE3T669TyE2joZF2Rui763h+E7VHjJPXcOnMNdCERvN2A3d9MCH68KmhaZijVTTLRLoempNCs3buy/Rqy/j11c0q3X6gFEG7TvPGhzhjM+QObSqmhGmRHp+l/slb6Pkc9rFZopUaej5DcHt3WXJu9hS52dPbKoqNa+9T+/AnePXl/cVuKEnU7xD1d59QFoYxXP++w253geFkKe5EFN0u9U/eZuPSm4Sd7b3OB97Oft84mirQ8HskggZ2vAmmdJOvj18ANP548V1udpcJZYwvQ5bdBsvu3jtcsXN8sXqaX596gZO5iS15jZ22h+eF5AsOqystCsW9Z6QiKWkFbkIM3RbL/RbLbnsYh7Hudal53V17Dx9G0Uozmc4zmS4w6RQYTxcYTWUZTeUYTWUpWI/nAPtZQtM0pqbL/OZvPcfNm6u02y5xrEilTKrVLEePje5qXAMJeTiePYreE6SNNK9WXnzk9tZ6Xd5ZXuT6Ro3VXpd+GKIAS9cpOw6HC0WeG5/kaLFMytg8BaNY0ugl0pEwjlmqt0nbFuWsw2qrQ9a2aHs+t27UmakUGS08ulKz4fXp9mtkTBupfH642CJv2iz22qSEwcXaCkLTKFopOqHPiJNlbPro/g/sZwCFohnWCOLNmbWKPUHayA3/3Y9WcaN1stYhMsYUumZRsI4NZz81TUMZcvDzwUmGQGBpNt2oxfuN7/Fh80d4sjcgikceIIoHr+zHUnKv0SSfsik5ybUy32yRsS1Kzt5OucdzI8z16iSOzAfePACWniJrFLZIbWHT4C0II9ZqHdJpixNHx5Lw+oc+qxr8t9suaGhUrAlucXH42op7l/P5Vx7pyhbKgHqwSiTvu6EK8kYZ4xFV4TW3ww+Wb3Cvs3Xm0NYNvjxxnGcru1f9b7TW+eHyTSbSeV4dPcy11hof1hcRaJwrjfNi9RCRknzcWOKDjUUiKTmWr/LFsSMUd7vXaQJTH8EQRUy9+nlV8eeI/vxN/I2VpG/GshPjkW47MZ8ZDHQ0BLG8/7zb30WUP3ae7KGTSR+SlInZje/Sa6wRdluE3fYWtz9NFxTPTzD5y6eRYUzU9TGyNoZj4q13t5BF3TbInxrFyFiEPR8jZVJ8agJnssDNf/02Kkz2Wynwmy7C0pn45mmskrMjWUSBDCV6yiTq+sggJg4Gg+BdWleEbmKnC0PJJEAcB/j9JvEjMlt3gox8Aq+DjPxhuP1eMMwU6fzYltfiyKffWkK3dcrHCkRujJEyQFO0F3tUThYRuo6MJUE/xCmmWHhraThu79bnkDJGE8ZwvJYtTqPtIzfyQbid9ceSdCoZIx+q8GmaQAgdTYhB/ID5qcPplZLEfo/Y95Lz3e0MoikkoDHy1JeS6Am3i6YbVM+9SuR28Js1yqeTDOLY66MJQenk88Shj7u+8ESqk4+C31ijc+/qnkTxPmKvR+fuVXKHz5CdSlqGNE3DSGXIHzmHvzI/NK6yrRyWmcW2cthmFhDJz1YOXbfQhI6h2xh6iiDoYFm55BzZ51dR+3gVI21SPF4m9iP6qz1iPzleKoyIOz3ClTVULJG9JDZD9nY+h1Qc8XgRkIqg06B95/JWsqgbWIWBe7iUqDCJ+1Abu0+QaEKnfO6VYa/hffRX59i4+DrexvKT6wsdyMLDdpPY9/buV1Rq120b6RzFU89TeerVLUQx6repX3qL+idv71ixfhzs+67RDHqEKkYBchA2vRNhzJtpfmXyWUbsPG9tXOejxh3m+jWCR2jdNaBs5Tidn+KFyjFeqZxiJlPdQhQBxsYL1De6NOo9TMtgbLywpaoolcKNQ1bdNstum+V+EoOx6rZZdTsDgtilEfQfmcN2H7ZuMJ5KJF0TTp4Jp8CYk0/McFK5oW2/0LZHieyFOJbDYyjEwZc/KCzL4PCREWYPV4lUTKRiHH17FTSJL4gJZETaSB50QhOUrRIlKzErelSf2XvLi/zRjau8s7TA3VYTL9r6vQtNYzyT5fzIKN86epyvzR6j5DhoQM6xsTo6pq7jBiG1do+e30TTkuslk7JQwOXOGodHS4zkH00WQynJCp1z5VE2/D5/fOcKM9kiI06GjGEx12nSDQNCGRPKmJRh4OzTleyzQiwjAuluMUbJGAUssTnoEOhkzElSehVT3zwGD55Dj0MSh+vXdCIV8XHrdd6rf38oudQ0QdYscjx74bGIIiTPoqV2h7uNJq8cmsEydJY7Xdx6wAvT0+RTj67MV+wsi/0medMhZ9o4+sG/L1OzsPWtE02appHJ2EyOF2i2egRBxEa9x4nHnDsQmuB47gLv1P9i+Nq1znu8UP4GZWt01+/ndvdj6v7K8PsvW6OUrNEtTr8PoxsF/Ky2wFtrd3HjkH6UnNMZw2bUyT2SLN7r1vm9Ox9yOFfGjQO+c+8SlxrLCE3j6fIU7UHl/b++9iaXGsvESnI0V6Xu9fgnx1/YsT9ZKUkkm2StZxCP2O/P8dkg7neJ+48KPzcJw17iVLvPAZAzOk3h5DNEbhdvbZH+6hzu8hxefRXpbx/s6I5J4dQoqWqGW//mXXr3GugpAz1tEbS2vl/YBsLSqb07R/PyCoZjMvmt04z90jEW//wy/cVkMC39iIU/uoRZSFF+dvfs2LU3bqMJjZFXDuMutbj7ex8SdRPCF/V3HjCadhbddDZz0yBx9wxdHhxBp0gneXYkmbHWoHIeESKRQ0VAHLqEQX/fZDHJa9zq7C7jEK+7gW4JSkeLALgbLk7FwW8HlI4VkaHEawakqw5WxkTGm/saB31Cr4Oe3bynWukihpUm9DrslxkkERmPUWlTaudNDO4ZmtDRrRQqk8fMlR6z+qGQgUfz5kdEXp/sxGHqV94Z/lZPZaicfZXmrY8I+22EbpAePYRTmST2XcqnXqC/Nk/QqYMmcEamcCqTeI1VVPDZkUWlFH5jFXf1YAY8Ya9J+87lIVmEpJKWmTxCzbRwvUYibdQ0pIpodO4l0lIVJ3JUJWl15tHQaHbmMA0Hz29hW/kDtTqkx7OMPj2OmTHRdEH7XpO1D1bwm17yvccx4er68PuPWxZET/54ysDD21hGRuGmo6wmMFIOqCQ6I9poopnGIyt4qZFJ0mOHtrxHScnGpTfx6qtP1kBIJeesZhpougF7KCOVlDuaiO1KFLstNj55k/onbz+xfmA4SM6ikgRxRM5I7emu5+gWXxw5zbHcOC+Uj3Gvt86yW6cedHHjgEBGCE1gC4OcmWbULjCdrnAqP8lsZpTMLlLOXMEh5ZisX2szOl6g+FBl8UZ7jT+89xGrXmdIEGt+F28fTckCjbKdZsIpMJ7OM+4kf8acHGOpHGNOnrFUDls3kErRD0IW6i2ckoljmoRSDmfITEMniGJSprGrZPP7v/MmCzdXGJ2p8NI3n2J0prLj+x6FMIi49v4dLr15nfJYkXOvHmfq6Ngjl5Eo3NjDjf2dySIKTwa0wu6QLAJ7kkSA91eW+C/ef4fXF+4RxjGjmSwnShkyloUG+FFEze2z0u3wl3ducafZwItifvXYScqOw/GJCqWsg6nr+FGEqQu6XkAsFaauM1bMobW6TJbzlDIOxj5MhHQhSBkGwtfImjbllMNKv8tMpsDRQpm77QaRkjhGYsD0WZP2vRBKn/jhQG1hb5F7powqKWP/uXsH34eA+f41OlGTdrhZAZAqYt1b4HL7bZ4p/tI2wqOUQirFW3MLRLFkuphnPJflo6UV+mHIufFRRjMZcpbFpdVVIhnjaAY5y+JevUEQR8CjyeKt7jrzvQZTacWG30UXgqLlHOh70zVjR/Jl6IJsJoWTspBSMTO9/1ieh6EhmM2cYdI5ypKb9BytefP8ZP0Pebb0VSadIxjapmOrG3eZ613jp7U/pRu1hus4W3iFglkd9InL5Dp86LNWUxl+e/YpXho5hBdHfLCxwBurd/APYMZwvb2O0DSqqSzfnj7Dh/VF3qvN0Ql9jmTLWELnt2cvcL21xvsb8/zJ/Cd8ffIkk5mdFQlKhfTDqwgtRc5+5jGO4Of4rGDoNo5dIoqDhBztYwzXuXOF2HfRU0kPklWoYBWq5MOAsNcm7DTwassEzcRAQcWSyA0RlkH2SAW/3qe/0NxignEfMopxV9qs/ugmMozRDEHt3XtMfP0kznh+SBaH7w/iodRyJwzNbGKJjCRRPyDqPZrs6Jazzfkw8vtb5JoOGXIUkUg8XDQS8ijQk9gCenRpolDEUUAc7j/TT9MNDHurhF7JmNDrIFVM/UYD3TborvTIdkPCfkTtagO/7RP7krELVaRUGLZO5G0e48BtkcpUhoNgoRuYdgZP0/bdhxeFLvKA+Yx7QcmYoNuElbtJpfozMivU7RRGKk3QaaBUEpq+/vFP8Fs1hGFhpDJJtMGgerxx5W3cjSdnZLMbZODhtzaGsRf7Rex7uOsLybVoJ8oOTeiYmQJGrkC7trTl/RsPSFFrzaQKH4TbXUm94GDxDRMvTxMHMY0bG+gpk+q5EXorXfymh2ZZGJUSIr05fjTGRohW1onbj+71PzCUQvouse8OyaKmaWh6QsSUlMTNNnougzk5in/tzo6ryc6cRHsoR9FvrNKdvznIQ3zCuy3v9yqqPc99JeNtkUVGOp9IT8+/il1MxoJKScJOk41Lb9K4/M4jZbCPg32TxePZsYHwCgyxc8/Zg9A0jQmnxIRTIpQRdb9LI+ziRg+QRd0gZzhU7TwZw96zL2dtpYXbDzh7fppez2dxscH45GY0x61OjX99823kHjNmAo28lRpIR3OMOomMdJMg5hl3cokt/w6f8+ZKDS+KuLy4RqPnMlstcnV5nYxt0fdDUpZBs+/x0tFpypn0jrPvP/nOe7z7Vx9z9uXjHHtq5rHIIsC1n93hd/5Pf8rMyQmMlI4+qbPsrpM10pSsAq2wSz9yMYTOtDNOrGJudefJGmmKZo4ld41u5BKrmOn0OGk9xbX2XSxhMpkaoR+7XO/cQ2iCw5kpmkGbbtSnH3vMOBOMpRK3tabn8l9/8B4/mb9LxUnz1dkjnB8ZYyyTJWMmF6EXRWy4fW426vx47i43Ghv8m48/ZCZf4NWpGSZKeSZKW405pFJD2XOt3WO93eNQpcChfRjbVJ0Mp7IjZE2biQx8dfoo1VSG2+06RStF0U4x6mQJZIyt65+Ju+5BZuvgfu7Z1v3Q2JuoJzPae79vP/Cly0L/BqEK0DWDtJ6jEzUSiWywzpu1PyVnlDiee/qhfYC7jSbX1mqcqJaHe9ILQm5v1PGiiG+cOEba2oxz0DSNtGnu20F31W1jCJ1YSeZ6DUZSub0X2oadj9N94y5InFAnHyHN3nMLmkZaz/PayG/xZ0v/LZ0oGUT+rPFDmmGNidRhskYRXTOIVEA7rDPXv8aye4do0Ft6PPs0TxW+QNrI4fkh640uhayDEBqWaaCUwjQEeTPFq2NHhtvOmTaXmyusHOBhseH1cCoW//z0F0gbFn9w9yP+yytvcKW5Qtaw+BdnX+NIrswbq3e43l6j5vW40V7fRhalCnHDm0RxCz9eQcP4nCz+gkEpidAMTF3sW4HQX75Lf+UeeiqDmStil0ZIVSawy2NkppMqR+Pyu9QHZDH2QuofLJAayVJ5bobCyVE6dzZoXFyifW0NGT7gnOjHeGud4WtKKuJ+CEJDT/18KtO6bm07FnEcbJEi2jjYWhpFjIUNaOgYw3tJoDblqkrG+3YOhUTNoT80Sa6UJI58ZCypXdusuvXWkp5Lt56QUU2A6RhohrZN0flwZRRI+jI1se9qiYyT/uwnioFULuo/ucrHToh9l8jr4a4v0F26BSgMJ0vk99FNm8jt4m4s0b53GRVH6Kl0Yj7yGZPFyO0m8sCDSnCVJO53CNp1nJHNrGRNN7BLY3gPkcXPCumRDHf/6hb1y4mhVflUBcNJrlW9kMMYqyaOyYOKmFEqDCM0njSUUtvcRkFDEzoqlsOJEtnfffImPX542/XfmbtOfABTp4NASQkayCBA+o+eVFJxvIWwGpk8pVPPU36QKEpJ0K5Tv/Qm9SvvEh9wEmI/2DdZrD7WoCyBKQzGnCJjTvGxlo9jSeBHrK40iWPJidMT3Lm1Rqe9Vc6ilNpGFAVJRWkklWVk0Fs4ksoxlsoOJaVjqRzVVBZ7n7lIjb7LfL2VOEX2XbzliA/nlpmtFGn1PUxDJ4wlYfTZZt8Ypo5lm0ip2Fhucu32HdK9NLGSuLHP3V5y40gNKoj9yONIdopO1COUEWOpCjc6c0nYvdC52LzOy5Wn6EUubdUlVBGX23dwYw9Ht3m3folYxhjCwNFt3qlf4tcmX0NH4/X5OV5fuEfKMPlnF57lt06eYTSd2bGy2vF9zo+M8V/+7G2ubtT4yfxdTpQrTGa3n2MPkgilFNVchpFChnx6b3lP1UlzupSU53OWzUQmj1KK2VwBhfZzifgIVbCnw9iDMIW9rT8ulD7xHo3nUbyOUhGGPph0GD6EtM1ZZW1/5ksKSaTCISEcT81yufUO9/pXkMSsePd4ff07ZIwCE87hzeWU4latzkQ+y5eOzKJpGjfWa6QMg9lSkTv1+tCJ93FxNFvlanuVNa9D3kxR3GVC53EgpcL3Q8IwJpP59EZVGhpn8i/RCeu83/gBa948sQq50fmAG50PSIk0ujAIZUggN8PUbZHmeO4CL1e+zWhqBl0z0LSQlY0OQgh6rk/PDWj3PU7MjDBZzSM+ZTxGzrQ5UxzjZGEUpRQXypOU7TRuHHI0X+H56gxC0zhZGGUyXWDD77Ps7jTQUyhiItUhY53CDe4MPtfncTq/KOi564MJ7Yhon5l7ZraIWShjpHOY6Sx6OocwLWKvh5IxmhDI4IF1Kejc2eDe739I8dwEhTNjlJ+eIn+syuJ3r1J7997mW6Uk9ne5v/2cThuhm9uVEnG8pfrm0QfFoFdZG9zXk07nmAgfb3iv36lf79E7INC3SOpVUjXZB2lREjZu7CzhlHG47erTB31Z+30qKRnvTSyFNqjkxBD/fDP/HoXYc6ld+imFYxdwqhPJc18INq68Tey7bFx7l+zkUaxcKWkLEoLmzQ8Iuy2yU8exciXsfIXs1DGEadFbuo3fWv/U/Yyx7xK72yt8+4GMwm1kUeg6dmnkEUs9WbgbfarnRrByFoZjIHRBNKjoqzAiWl1H+sFQehr3+zvmLD4ZqJ2r5NoDPyiId9u+EDgjk9tkqu7KPVQcIdJppO9DHCc9trpABQGaYaJns0hv0HeoFCKdQXccpOcRu32QEmEnvbmaaSbv9T2MTBZ7bApNN5DuowmpktFQ4WA4WYrHn95OFFs1Nj5+k8bVd4m9z4bg/nytDB8TQRCxuFCnUe/heyHXLi/R6XiUK5k9B4op3eBYrsq54gTnShOcLY4zm608Vq/TfRwbTQbkuZRNxraGVcSRXJYwitGEhqXrlDKpz/RZp2kaVsoklbbpdz3urS5zKjrGC+VzLLqrXGrd5GhmmiOZKbzY5+PWTc4VjjFql1nz6sRKEivJicwUaSPFX6z8lNfEc0w6I1zr3COSSRXym2OvkDYc/uWt32M2PcHpzBTHszP8Fzd/J7lINfjzW9fxooivHDrCf3D6HBVn90F8zrb55aPHuF5fZ7nb5e2lBX79+KkdyeKDGClkGdnD1OZhSBUNXECTPL5Q9oikh2NUiWSEVBG6Zif2/ppOrHxMzUn6eZ4A3Lh7oFlZQzMxhY2GGPa/9OI2gfJx2P2zh9ECUbyMoY8BAogG29VQykUXBVLWBbR9uJdqaJSsUV6u/Aqn8y+QNysUzVH6qx3W/QViFXGnd5k3an/EN8f+MQUruWlpmsZoNsO784u8u7DIaCbDtfUaN2p1JnJZpFK0PZ+bG3XmW23mW20mpOJWvc58s8VCs03OtrGN3fdxMlPkWnuNpX6L86VJCtaTdduUCsIoRj6BKrOmaRiYvFT5FSyR4nurv0M3agLJ9+xLDyUVumbg6FlyRpGyNc5U+hhn8i8xYk8N8ytjKen0ffpewOJai1qzRxBFTI8Un4Tz9kBpkR3ut6NblOw0InCZzhSHEyumSCqZa16X/g59TEKzSJsnCeJVNCx0kcQ0fE4Wf3EQRi7N7t7REw8ie+gE2dlNEwkZhUT9LkGrNjC4aRG0NrYuJBXeWpeVtRtsvD9P9aVZpn/1LKOvHd1CFoEnYh//MGQs0fR9ai12fFZt3SmPfkIY9wGVyBT29d6dtzZ4RdvxF59mpY+xjj1WYugY5SLCtokaLWT3syIFu0MpSdDeoH7tvYd/Q+3SG+Rnz2BmCmiaGExwJM/W+tV3yc2cws6V0HST2O8P+8M0oaPpJq27n6BklMgbhdi1921zAmFvyE+RAymjiPDhXjShD/MGIYmBSI3PoAlB7PaQYUDUbSMDD2diFiUj/I1VVBSRGp/BW1vcn9PnACvvLDLy9BjlkxU0obFxZZ3eclLNiltt4hZbzhvp+weSGgvTwnCy6E4W3XYQhokwTDTdTL4DIZLvRwjMbBHd3m52qRkG1vTo8BowSgV2mhrTrRSGk93ytSql8BprKBljV0ZQcUywtkJqZpa41yXqtEnNHE6Mmmwb995tonYLq1xFz+XQ0xncO7cI6zWcI8cRKQfpewRrK0klUeioMEiOkf7osaaSEhmF6LZD7si5h4hijN9cp/7xmzSuvkf8UP+40HRSZgE3bKIh0IWFZTj0/QagEMIglvuT2f57QRaFpmFZBpNTmz1EhWKaSnVv4iCBfhQw12vgy4iFXjMxpkllqNhZynaGip0ma+6f2I3kMlSy6aE88v418fDJBju7xj5JGKaOYen02i5GINA1wbXOXbzYp2TlcWOPO70FNDTyZoZG0GG+v0o77FIPmghNw9YtdE0glaQddpnrr1DzG2wETUbtEjc6c6R0i/FUcoI6uo2uiS23xSsbNWIpee3QLBnT2vNzG0LnhYkp/vzWDeZbLbrBZ2NV7cdtWsFtdM3EEBk64T00DGLlYwiHbrAIGggMhGYgVUglde6+SBLxgJOjQh1YVtrw15Ds/yasaRp5s4wlbHyZXPj1YJV+1KFgPkqqrJCySyB7SDyUCkBFoJmgIizzGPsdOQhNp2pP83Ll20PH0OO5p+lGTX649nt0ogaRCvik9RZ5o8xro7+No2fQgFOjVeaaLfpBSJCKOVYpowtB1rKYKRbQNY2MZXKsWkagEUtJ2jQ5Uilj6GLPPbzVrmEJnbPFCTqhR83r7ioXPzA0SG6gGtmM/cSu3VB6dKPWUK427ZzgaPYp7nuq6pqBLdIUzAojqSlG7GkMYW6RykqpGCllSKcsRspZRkpZUrbJeDX3RCrkltC3mDvpmoYldCyhb4kD0tDQhUg8DHZzltRMMuYp/HgRUy/B526onynsM0fRcxnQBXG9hX9rHpFOYR+eAl1Hs0xUEOBdvYueTSPyGcLFNZTnY06Ngq4TrW2gF/OYE1U0yyJudwnnV1CxxJoaxTozi1YtErTr9C9fxb19G2WCPlZGr2RQGQciCwbVEiNj4Yzn0QxB0HRBKqKen1QfPs3pKjR0y0hIoC4Qlp7IV3c4Fb31Ls5EgfR0EW+1g2YI/I1+Ik17CDtJLbV9tNvsBk3TdiUVO0FJiYwDGBriaKAJhDAOFHPxMHTD3Ha449B/ormBRrGANTuNputIz/8bIYsohd9cx29uz/mM/T6N6+/vuJgMPFq3Ptrxd535a/vevI5BWssTKA9/HxMKKoq29aHtGzLeRgo0TUPcnzgVAqs8QmosqTxK30UpRX/+NjLwyJ18Cnd5DnSDsFUnPTmLX1s5UIRJ4/oGkRuSnconbqhrvU3zqB3OLeXvPb7TU2ns4gh2cQSrUMHIFDAzOfRUBmFaCMMaEEY9UQHo+uAaFVuMqYYQApFNo/wgeZ+xMykzUpmhQ+lwf+NomKcofZ/MqbNErSbpoyfoXr6IVR0lc/IMUauBPTGF9JNKokil0J006RNniFpNwnoNe3Ia6fsE62vEXmIAFHVaCNPELO7ti6DiGE3oZGdOUjn/CqnK+ObvpMSrr9K8/sG2cwJAaAZ5ZxwhdPywR84ZxTYy6MJEFxam4bDevonax7j23wuyaKdMDh2ucujwo009DJGY5vgP9Ap4cci19hrX2kkwpgZkDJtxZ2BaM+hPvO9uOjKIwKjaWcxHMP4HB2g7PRN+XkYpURgT+hFSSkp6gZn0OMvuOjkjQy6bYa6/jC9DimaOI5lpQJE1nQHh05nNTJIWKUxd50z+KFIpHN1mOj0GaDxVPMm19h08Ca9UnqId9sgZSSP+s6XTw+PQDXwUMOLs3KO5E0opB0vo9KOQSEpktIiSDdBMNJFDKQ/Q0bQsSt3XYGugPNAshKiiiUdPGESyRye8h1ISXdj0whUy5iTdcAHHGKUZ3ERoOqbIEqsAXbOp8tRgS9qWeAWlFG58sAfhontrTwnpwxi1Z3D07JAsrrp3aYXrjKUO7drXaxpTCC0DSGLVJY7XUCrE0CcRIoMhqvuqKibQMISx5bPbwuFC8Yt0oyY/rf0JvnQJpMe79b8iZ5Z4sfwtDJGYPf3G2VNIpYYuwSdHqlscg0dzW7+zkeze2Yj3seK2qNgZjuVG+OHKdda8DhPpAindxBSfrhqslCKKJUolJlWfFkopFJL36t/jx+t/SCA9Ruxpvjz6dzmZfy6Rl+43uiCT4ukTycN/Zqw4XD88mXuNrgmMB6rpiaFV4oBrPHRc729tp1l0qQL6QTLIEloaL7r7qfftczwaIusgsmk0yyD97BnCxTWMUoHs11/Bv3IHFUXYJ84QN9ogFekXztHtu0TLPs7Tp4k2GijPx7lwEs22kJ6POTOGpgviRof0i+cJ6NO78S7W1ChxVhFJn9ThI5gz48heH3NqDD2fpf/uJZTnozsmxfMTFE6OEnkhSIWRs4n6AbU37x74M2qGIH9ylNJTExgZm9RIdpi7KMOYjXfn6NzeWtlce/02h//Bs8z8xnmClof0I+79wUeE7e09QjIKtpFFcb+K8RjQBnmC+4aKkaHPg7GkmibQzdSnI4umw8PsPArdJ+vuaBioMEq2s0eV5BcZBhYRIRYWIQE6BjERAh1Ts4lUQETyXegk+buJc3iIoRnkRZmuahLJANCQRLtWGpWSO05a7AdJj95D58Qg/3T4TyEQuk7YbhI0aziTs4kBjKZhZHJ4K/Pkzz5P2NrAb6wfOOuyfHaE4vEyhqUDiuKxEktvLdJdOHgPqm47pKpTZKaOkh6fxalMYGTyj33t3YcKQ/yb9xCWiV4qEC6v7br9hyFDf0h6g/VVcheewx6fTCTzvS729CGk5xJ1O8g7t4i6XYx8Ul2P3T7qAUm+CgOCtRX8xbktr8Wei9Zp7ylD1YTAGZ3BGZ3GGTu09XdaUll1Rmfo3LvKtlkzTUMXJhl7BCkjMnYVKUOyqTFMPTU0rtzP1NGeo8crrYUD9Vx9Fhix84yk9jabOJKt8E+Ovciq22bd6yYZin6XzgM5SQroRj43Oz43O7Xh645uMpUuMp0pMj34+0ECOZLKkjH2rpj9PNHvuNSWGvQ7HqZlkMukOZKd4kgmGVSuehv40udk7jB5I4uMFVJKqvkScSwxDB3XC2iv9amM5Hm5kpCkkUFWDyQDwmr1WRRqG1H5pZHnhz87ZjKD2fb336PXDQJCKbF1HV3TiKObyOg2aDaalkYRomkmQp9EyW7yhwBNy6FpNhgRujj+yG1YeoGKfZZIeUgV4Ogj2HoeXUshNJO8NYstCigUreAWGtpAmpoEoT+Yb6iQNMN1Auljib172ry4z53eJ4OHx/4xlT5OzizRDJNZ0nqwxp3eZSZSR4aSz4dh6hOY+sRwT8N4HVSEaUw88K7HP3cTaWKWFyvfpBM1+KDxQ2IV0Y+7vL7+R+TNMmfzrwzdOvUHrpPdHIEfByUrTc1PclH7UcCa1+FGe53D2TJle/+kcydoaERhTKvtEkbxgUK1d0MjWOP12h8PehLhudLXOJl77pFRGPve3yd6L9J2dPDeOt+6N5SKCeJVdC2NIiJWn03/xOcYQGiorkvk+qAg97VXEpt4QNN1+u9/QrRex5waRS/k8a7dRkUxejGPcn20tE10pY7IptELWfrvXya4vUD2qy9hjFVRUQxC4N+co//2RbJfeRGRSWOMlLGOTCGcFOH8Cno+hzFSQuTSxJ5P1Avo3tnAyFiY+WRQ0r1bp3V1ldblleHuB02Xtddv4648MMhUCr/eY/HPLtNfGjgDaxpmzsYZSwzQ1l5PHIbtcnLN62lrm2Rz/e17CFMne7iCZoqkL3KXiloUutv60AzLQYjHu06FbqLru2ejPgwZR4R+l1Rus+9MEzpmKjeIuXg8WE5hy2y2lDFR0H+ilcW4kUQTGOUin4me+OeEkj5GR24wok+zFs2TFSX6qkNGyyE0PYmbkDV81aesjyPQkUg6sj5sGTGwyIsyoQroqTa7HQ/1iOy8vaG2t7ZoWmIoA4Mqfgdn6jBoc7gr80S9Ls7koSR7VSnCTit5po8fovbW9+CAPZjTrx1CSYW73hs6Ex+UcELSC507cpbiiWdIj80gzB0c+gcyTBn6qChExtHAQCoGKYfmPuLh9hWlIIwxjx4a9BPu3LIizO3X6Zaqr1J48/fInrtA/+Y1Ys8lrG9gFopIt0/k+4T1GlZ1FGtkjGB9DRkGw+9XyZ0l6VGrQdTaOy7GyBYoHD2HVahue+Zruo5TnaD69GuJkdPq1vYCKSM63jpKSaSKcYMGQTSoQGogZYjcZzFjT7L4r+78NfJJO2EdEF8fu8BXx84jUQNZoBrIP9Uwi1EqxeFshf/Vua9R83vM9xrM9xos9Bos91sJefR71LwuzaBP/NCX58YhNzvr3OwkA3ShaYylckxnShzKlJjJFBl3ClRTWUbsDNVUlpKVfqyMxU8LKSXdZp+P37jOxTeuEUcx+UqW0mghqVQMdidrpplJj+PoNnEkWV1usr7WpljMYKdMQHHn1jq9rsexk+McOTqKbmwd2N9f314VkKPFEovtNu8sL/DLx45j68Yjj4tUiotrKzR9j+lcgYxlATKpKgJSbqBpFqCj4o1EsKfaKNlBt48BEUru/RC19Ty2nmfzpr11n/JWMlMTyh6KCA19eOPXNYOiOYpADDK0FJ2wzlzv6jYn0O2fT3K1/S5r/vyBZKgAY/YME6kjrHnz+NJFIbnSeoeyNcb5whfIGPk91qBh6qMH2uZ+oGmCnFHii9W/QzdqcrX9PqBohTV+uPb7ZI0Ss5nTT3y7D+JQtozl6oQy5mQh+YxiH7Eu+4WSijiWT2RtCsV8/zq9aNOWfCp9bE/X53+fITSbfOplDJFDqQgrvP03vUt/q2FUimReeRr/zkIyIErZw9yuuNkeVHxA+SHoidGD98lNzPEqRqVItLRO3GijV0tJpWMw4FOxRBhJT5DsuUg3mexQUYxmqiQjzDTQs2mMagnZ7RPVGig/wLQgnYoJ7y4zd3lpUKEGNAgfmjfz17vM/eHFrS8qcFc63Ph/vTl8SQs1gne7LL13GV+6hMojK0oITdCNG4QE5EUVTQgC2cdXfbJhgf4PG2zIeQL16P6w0O8SR/4gnia5Pk07t++cxIehGza6tb1isRui0MPt1shVN12NhW6SylToNx/P4dKw0lgPGRMGbosw6PFESZ0QCNtCS9mfuhr0N4m8qACKgqjSFS2yooClbEzNpi3rlMQIoRYSqoCSGMNTPVpyg1gl7v66ZlAUI7iyi6/WhuOInXBQmfJDS28/zoNsQ0gIhF2doL9wl7C1QebQcbp3r5OZPYHupOndvQ5KEbTqmHG01ZhqnxCmztwP7gzdUB8HZrZA8dTzlM+9POzBu/9Z4tAnaNcJOw3CXofY7SamQKGPCoOEMMYRKo4xcyXGX/kVhLGTykxDM3TiRhvh7Hwt70RyHza78pbmyT/3IkFtDRUklUKzWELYKYSdItxYJ2zWCesbaIZBsLpC1E4mwIKVxeHPj3Wc0jkY9KPKKCDqJeNeq5C0JQnDIj1xmOrTr7H6zl8SPCDFliqi7W7eP7zw8fdjT7L4xvoV4r9hsjhiF5hJV4mVJGMkvYXBoOE4pZsopehGHjnDYTpTYcLJM+Hkeak6i1SKbugx32sy16sz12uw0Guy7nXZ8LvUvB71oLcti1EqxbLbZtlt824tacbPGjaHsuUBeSwxky4ykspSGfQ/VuwMqYdI0upcjVsX5/D6Wy/IjeVkRqFV6/D+9y+xfGfnEvnDUCrJV1xfrHPxJ9e49n6SGzM6Xebwmakt780aabJG0vjbbPe4dmWJ+bs1jp+a4NDhKrdvrnL96jLFYoa7t9c5NFvdRhb3i6/OHuWtxXl+NHeHL96d5WuHj1CwUztKUr0o4qPVZb535zYNz+VbR44zms4g9Ek0LU1S5TBQKkKIPEq5aMoHUUQRI8QIioiD9UI9+sZsigzV1FNbXhPoFM0RytY4tSC54ALp82btz8ibZUZS0zuSFD92udu7zBu1P8aPD97EbukpzhReYtm7zUL/FgrJRrDMe/XvEcuQ47lnKFmjmLtUN2MV4cY92uEGsYopWaNkjcePgXgQQtOp2ON8eeTv0o3aLPSvo1Asu3f567Xf5dcm/2NG7Km9V/SYmBlce58FDEMwNlrg3KkJCvmDZTfuDDWUEt/Hrc5F8kaZvFXB1KxfiGzPJwuFlB79aAVFgBveIW2d/Jveqb+1EBkHkc8Qt7qoKCbu9jdnsdX2GB4A//YC9rFD6MUcvTc+IO70EmlbEGIdnUEvFTCqJYJ7S5vre2g1stMjuLeEbPeIVjdAg6jWRHb6FMqCqUMGmkjI4f3dcXuSpfmI6P6j9gDmLZaWYsw8TCuuIbWYSAVk9AKOlsPApCublI0xXNlHahGmZlM2JlAoMqLAaniXmN1n0GUUELhtZByhG0mlQTctLKeAMGzkPl1jYVARtLMYByCLcejitla3vKYbNuniJPXFj/e9ngeRLc9s67vsNRefeCzE/UG47PRQwZPPpEvw2VcsIxWQ04o04nXyokKoAiwtRV926MomtpbC0Ax0dGIiOrJOSyYDcwsHHYOMlqdLE3+PyQk0PQlkfwxomrZd4qxUUs0CEAIzm8NduouMQpxMjrBZo9naGF6MZqGMMAy6t68+lrNr7EeMPjNOqpQaZqc2b9bxGvvLFhWGRW72DOWzL20hijKOCJrrdOdv0l++g7uxTNCuPzLrMDUytWtMzTBnsVzY1cBnx14/yx6SeaNQxB6fon/zOlFnUKCQkt7VT0CIzfusgs7HHww2vHm+urdv8GmhpCTqd+gt3aK3eBs9laFy/lXMXBFI8kRzs6eI3A7r7//wM4mk+YXuWbSEQcaw8WTAjc7yIAuwgqHp3O2tYwodU9PxZEgv8jmSHWEiXRpWGyGpOuQth3OWw7nSBEopAhmz3G9xr1dnrpsQyBW3w4bfZcPv0/D7dEJvWwxHN/K53FzmcnMZAEMTTKULzGTLzGYSEvl3Z58h/4BD4/UP7vL//j/8EesL9S3r8vvJhb18Z53f+7//BWIfAfOwSRajYPPiyBbSnH3pGMefPrTrcpqmkc+nOXV2isnpMpVqjrWVNmfOTWHbJo5jPTZRBPj64aP84bXLXFxb4f/x/lssdducrY5QcdKDKiOEcUzL97nXavInN6/x8foK07k8X509wkg6g26cemitiZvn1lHFz29grWkaKSPN+eIX+NHa7ycGN8Tc6H5Aai3N2cLLFMwKlki+71CG9OIWa94cHzR+xKo3R84o4ksX/4FohP3gcOYs5wqv0gmbQznqknubbthk0b3FTPoUBauKLRx0TUcBsQrxY49+3KYRrLHmzeHoOV4of+OJkUVIKq6TzjG+PPLbfHf5v2cjWEYhudn5iNfXv8M3xv4xWaNwIBJ03zwoVjGxiohVuEXOHEofL3YxRNJrK3h884ndoGka1UqWauVgjru7rg+NUXsaXTOJB9mJ79b/kl7UYiQ1jS2cQZVR27KMLgxs4ZAxCpSsUdJ6dlucyi8qFIpIdfCi+UTWK/eW2XyOx0e4XMO/cQ9jtIx0fXo//QDpBaD18a7fQw4G7/6dBeKNVuL0GMWoOCZudYnb3SS8vtXFu3QT6+g05tQo0co6we15VBQTzC0TN5LqeLS6gWaZyHYX/9pdODGbmOSQ9AiFS8kYy04JxiZ1imWdwFdICSuLEbW1GFBkcxrptMZGTRLHm61u9wskhgH+kJ9paAg0NNaiZOI2reVwZYdYi8nrFTRNx5N9VqO7gOKQeYZIhXiqS1aU0PYxseh21ohDb0gWQSNdmMBK5fC6+yeLpp3DzpQQYv/Dqzj06HdWiYI+hpVM8OqGTa586MBk9T5KE2e3Z8fV7uwrjuMgUFGcfOlCe6Ly1m3beWiwn1Tnnlwl01UdKmKSdbnEYf0My9FdPNXDERnyVEhpWdqyTkyc9Bw+tHxMSEvWMDDJiiIdWd9VVSQMfbtscr8QOsLeWiVTShEH96v/Id17N0iNTiLimM71i/ffNHy/nkoTdVr4G6sHdu0F6C13qJwbxSk7RF4EKNxaf99k0S6Pkjt8dgtRVHGMt75I7eIbdO58siOJ2x27jAU00EwD2e2j53d+rkd+f9vQTBjWUJ6qO2n0TIb+zWtIz0UXYFkaUipMUxEEimpFp+8q4ljheQrD0JASolhhmRrlkk6vL+m7yfkQxwy8EQYO7I+YY1Eyxq+v0bzxAa2bF/Eba5i5EsKyKZ97BSOV3C8MJ0PxxLNEvQ4bl95EBvv7LvaLPc/WZ0pH9qwsaiR5hobQEZrgRmeJut8dkq2c4ZA3HTJGCksY6FoSYxDLGF9G9CKPRtDDjROTlJRucSI3wfHsOCN2npKdRaCRMdJMOmUs3RjsU2JVvOF30E1B2cptIYo77qumYesGh3MVDueSMm6sJA2/z91unXvdOvP9RLra8Ps0Apdm0KcVeHQiD/nAhRUpyb1eg3u9Bq9zC4CvTJzYQhZLYwWOnp9BCEF9tUWn0UM+0NgspcTrP54TqCY0iiM5XvjaeV77rRcoje5OCPKFNC++enyofFAKXnjlGJp2Xz+frO9xMZXL858+8zz/z/ff5tpGjf/LOz9ltlBkOpcnZ9kITaMfhqz0OtxtNnGjkEP5Iv/k/NNcGB3fJS7hwe/yb6b6YguH84VXudn5kAX3JpBU7j5s/ojb3Y8Zd2ZJG/lE3hX3qQfL1PxlJDEpPcOL5W9yo/sRi+7NAxndWMLmmeKX8WOXD5s/phmso5C0ozofNn/MpdabZI0SWSOPIWySKpZHP2rTi9pEKjmnjmbOH9jBdT8whMmJ3DO0wzp/vfZGMOCNAABoEUlEQVS7dKMmCskHjb+mYFb5YvXXscTu1bmav0zdXyZUwYAcRkQyJFQ+oQyo+Utb9nu+fx2AtJ7DFBa6MDG0xMFWx2AkNUXJGkP/hSJVGlPOMU7nnud652eEKqAfd3iv8b1dlxAITGGTMQpU7HFm0ic5nDnLlHMc+xHH8xcFQjNwjEPJnVnF6GK7pfnneHJQfkD7z36y7fW479H7yaYDZP/tZMCol/IY41X0fBbvk5vI7mZPaXB3keDu4rZ1uR9cGf7s33gg8qLvDdf7ILodWFuJMExoNyWep9CATltiGjAxrjMypjM+Jrh2NaLXV0xN6biuwrISkmjbGu+/F9xX1gGKaDDhoiEoGKMJYVRdQCNUPllRIidKhMonUB4pkcbEohmvIR9RVRzud32O0O9iOTnuP29ylUOkshW83sa+B9VOfpRMYXJf7x1+OiXxuxu0a3cpT54FQOgGqdwI+ZGjNJev7LGGrbDTJYrjp7aQqcDr0F67idynVf6+EceJqVE2kxh8PNm1A8nxiePtweuG+eTuLx3ZwMDCkz06skFPtfFVH0ObIqWlCZVPX7WRRHRVg0BtDsaliujIJr7qY2nOYHJDwG5k0TyYTHnLsrqBmXmoFUUllafkZ0XY3CBsbmxfeABvdeGxtn0fy28tsvbBypbXvPp+yZ2WGLaMTW+R4obdJo2r79O6/sGBqp2apqHtQrw1TUNkMwlhdD0GA94t74m9PjIKBi6rAx98IbALVcJ2A39lCX9lU8p5eNbA0DU26jFTkwZKwdHDJjduBxi6RhQrwjDpBghChe8rThw1kBJaHYmMoe9KpAQnpbHRkKyu7/55ZRjQmbvG+gc/GlZYw06DxuV3ktzFE88MiK2GkclTfupVwn6H1o0Pn6iKYE+y+J+d+JV9GJZoGFoS23C1vciG36EZ9KlaWY5mxziWG2fKqVCxc2QMG0skLoDBgCjW/DZ3e+vc6q5wu7uCAs7mp/ntmVeYSVdY89os9jco2VnGnCKWMBi1N4lRI+jRjTxm0pXHGkzpmqCaylJNZXmheihxRVSSZbfFfK/JQq/BUr/FitumGbi0Q4+632Op3yLY46Q+9dwRCuUsd68scvfKEku3VllfrHPnkwV6bRc7bVEZL5JK7z8EXOgaVsqiUMly4tnDvPrtpzl8dvqRyzx8WB78dzJDt+/N74pvHztJKCXfuX6Fqxs15lst7jS3VhaEplFOOZwfGeXXTpzi146dopr+xR1QJjESU3x59O/yo7U/ZNm9M5QztaM67U59x+VK5iinCy/ycvXb9OMuK96dA7ui5swSr1S/jaNnudx+m1VvbuDGmgycmuEazXB3+bKGhiEs9APMcB8EhmbxbOkrtMMN3tz4cwLpEquYn6x/h4JZ4eniL6Gzc+/q9fbPeLf+l3SjJqEKiOSjjZFudj/iZnfT4lxDG2ZSGsLiS9Xf5IXy19H1x3sAf1ZQwPniF1hwb9AKd39434dEJpXowKUerHCz8xEz6ZO8Uvk2J/PP4+hbTXx6oc/dboNG0CeSkkjGXKwv0Q19IhVzubHCXy1ew9AEhhBkTZvpTCKf/6ygiPCiOVDaARx4P8fjQkOQtRPzAzdsE8uAtFlCaDpu2MLQbQxhI1WMVZ2CIyOYdQnrChVbhJoiZWTRhU0QJa7Tum6jayaR9AmiHqaewtQdwtgjiHuPnIAKfMX8nYj5O9vvd9Wq4Nhxg3JZYJoaR44ZCAFnzhgsLMRUqgLfA99XfPThfbKoiAjpDqrUCoUrOwiROFF2VINWXCMrCqRFHld2qcfLVLVp5MDYYT80r9dYwOtt4ORGEQOJoJMbIz9ynH5rhcBt7bGGpE8wV5nFyY/tY4tbEbhtGkufUBg9PqxumnaW0SMv0W8u7Wv7AEK3GDv2Kna6tOXe21y+iterP1Yl6VFQUYR0PeJWB+k92WrGcBsyJvJ7W0zHhG4kx1kTT8Td1VVd3Dg5/+9Gl4evr8VzPKyZXou3kq2IkIZMZMR9tbeXgm6nMdKPdw/WDBMrtzVyQcbRjrEhnxXc2uMblwnTxCpUthJepXDXF+nMHVQWqw2qgDuPn5VUxK0uIuNAsLPBlYpC/OY66bEZHhwIO6PT9JbubNuf86dt7s6HGKbG8aMmhbwgmxYsLkVMTxqUioKFpZi0o+E4GtdvBaQdwcyUgVTJ/TGMFP2+wjDg+q3wkWRRyZg48LZJcf3mOhsXX8dwMuQOnR6SXStXYuTZLxP3O3Tmrz+x633PJ/nZwsy+V/Zx8x5/vPget7urTDplvj35LN8Yv8B4qrTNfv1hJAHwK/z50s/469VL/MXyh9i6yW9Pv8K4U2TcKW55/4M3wbKdpWw/ucFPEqYtGEnlSOsWU+kCbhTSiwLmenVudWpca61S87p7kkXTMpg5OcHMyQle+01wux5z15f5r/7X/5Yr79xidLrMN//xF5k+Pv7I9fS8gIWNFmvNLjGKdN5hdKbCxFQFfSQ7qNRKml2XhY0Wza5HJCWOZTBezDEzUsQ0dKJYstrscHe1wdlDY5Sym4NrNwi5PLeKoQuePnKwmVFIiOBvnTzDueoIP5y7yyfra9RdFz+OUEph6jpFO8WJcpWvHDrM6eoIqceVYvwcYQqLk7nnsfUM79e/z5o3Tzdq4cU9YhWhkOiaiSksskaBglnldP5Fni19GVukqdgTCM2AHSNhH42sUeSlyi8z4RzhWvs9lr27tMM6btwlkB6RDJHIRL6o6RjCwhYOaT1L3qxwLHuBvLF3ls/jQNM0LJHiiyN/h3ZY56PmT5DEBNLl+6u/Q84scTz7NAwkZA+iH3dohxt48vEeOgpFqALCOIAYXNk9sJHQZwmlJGv+Ane6n3Cz8yGRitDQcPQMlnB2lJXel+Imkts+khiFYq5/jUB6pI08RzLnMB5waFx22/ybm+/ys415vCjCi0P6UUggIxTwh/cu8t3Fq6R0g5RucCRX4R8dfY6vTX42fYRKRfjREn60RN5+CaHt3xHyczweDGEzVXiKftgglhGGWSRrJ/KulJknbSU9vkpJjIZN44c3sa0yGTFCJpPGjVrYRgahGUSyiNB0dM0cmMhJ+mGLlJElZeQIYpeGu0Av2HviYyd0e4r5+ZhYQn1DEkWK0TGdSx+HrKxI0mmNIFC0WpIHo3cD5bEW3Xf6UzTjNVrx+pYJpvnwGg8O6pfCmzw8yH8U4tCjtXqDbHEKO1PivpFIeeopvN4G9YWLRMHu9yvdTFEcP01p4syB+hWH2488OrW7tNdvUxw/lbhKGxb56lHGjr7C6p23CfrNR65DtxzKE+cYPfLylqqi32+yfu89ZPTk84xFOo11aAqjUkLdvEtcf/Q+Pg6UjAm8NlHQxxy4XmvCIFOaIluapluf22MNB4etOUQqGlSltaT1AYEkkVIn596grw0zkeATsp/zzXAymNnCjpWuR0LTMJzM0NzkPlQc4df353vxNw1hOeh2eotEWilJ2GkStHaefN8NmmFgZovDyZ1tvxcaesYBU0ekd78m+8v3SI9ObymaZGZOUP/k7SRG4wHcWwi5dTfEtjW6XUmrLUk7Gt2+pN2VdLqSbk/S62uUS4I4hm5PMr8YEUuIIkXKTiqTQmgE4WOSOaXwasusf/AjdDtNeuJwUmUVOnZplJEXvkbk9XHX5h9v/Q/hiY3UO6HL7829yfXOIrZu8PcOvcKvTDxLfp8yAUPonMpPUTDT+DLiu0s/4/srF5lwSnx74jnsg2QWHQD3exg7oUc39OlGPr0ooBv6bPg9Vtw2K26but9nw+8N+xq9x8w+crIpTj13hOkT49z6eI5cKctTXzjJmReP7bpMEMW8ffUecxfbNDDww4h7y8u49+Z4+sgkf++LT3FotEQUS64v1viz967Q7LqEsUQqxVSlwN//4lOcmx0nlpJrC+v8y+++xX/yrZf45rMnh8dhtdHl//ZHr3N+duyxyOJ9nChXOVGuEsQxa70encBHKkXaNBnPZEkZj3ZKfRykhMN0+viwepc28lSsiT2W2j8MYXI0c55p5zh3e1dY8e7RCNYG1bSQlJ7G0XOMp2Y5lDlNyRwZ3gynnGOcyb+EHycDjZR+sEqqKSyOZs9zKH2SjWCFFfceG8Ey3aiJH7tEKkTTBJZm4+hZ8maZij3BWOoQBbO6p/um0HTK1hhn8y8D93sSj+5r3zRNI61n+frYP0ShhhERkPRYHs1eQCfpp4xkiCVSaJpgNDXN6fwLBPLgBHonJL2BO09IpUSGmfQmOcoaBcrW/mf+NTSyRnF4fAAKZoXdyvFSSVa9e/xo7Q/4pPUmEkneLHMq9xyjqUPkzBKmZm1bXhITyoBe1KYRrLDo3qIZ1JDErHj3uNZ5nxF7iuIwPkXD1HTGnBwn8iPb9gOgH4UsdFusuB3W4z5RDDdaNZ4pT1NOpRlJZXll9DBuHLHQbfPDxVtESrLUbzGSynG6OM5kukAkJSv9Dh/WljiaqzLm5DkykPG7Ucgn9VVMIXiqUiGIVkET9MPrgCJlzu77WH+Ox8CgotjzN4ikz2j2BOvdm/TCBscrX8TUHVY6V7GNLJbuUEhNEEmfblAjY5VIWyVqvdu0vVWmCuexjSwtb5WWt8RI5iiV9Cx+3KUXNrB0B0t3eNzYdc9VXLkcceXyg1XH7RXI/Yyhd1YibH1N0xSmpRGFCt3QiKPk7/vvjcKt20kqe8cw7OywuufkqowffRUhDNrrtwjcFnHoJVUukWQhWqk8ucosI7MvkCnNDPoC1cGyFgG/t8HqrZ/i5Kqkssl1blhpxo59AaFb1Jcu4febRH4PKSNQMonpMFNYTpH86FEmT3wZw0oPn7FxFLJ6+y269bntkQtPAJploIKQqFZH9j67qJwo6NOtz1OaSBy3NU3DSuWYPP01lq7+NV6vRhy4m59REwiho4kk81IIHb+//x7qghghVB6u7CYtFQAIYhUhiZMcZs0mVhG25hAol65qDcjko6FbKax8FcPJbspH9wHdSuGMTG3JBkzMT7r4rdojlvzFgTCMbf2aKo6IQ//AFWIjlZCknaAJgSjk0CtF/Bt3sY7uXvjqLd6kcv4VGLTIAWTGD5OqTNDz+luqix9eSiZcuj3FX/z1VuntlesDqfwB5wAeF0rGuCtzrH/wI8Zth1QlKToJwyQ9NsvI819j5ad/SvAEzo0nRhYvNu/xUfMuXhzyQvkYL1dO7psoPohxp8Tz5WN83LzHre4K723c4kLxMEezB5d1PAilFLFS9KOAbuQPiWEn9Njweyz2Wiz2myy5LVb6bda8Du4BCKEldHJmas+eyfsYn62Szu1v9nGt2eUvP7hBLCX//FdfoZBO8Qc//ZiP767wW6+c47Vzid22oQuKWYfnj09zdLyMZRq8f3OBP3nnCn/xs+ucmx3HNg0Oj5WYrBR448pdvvLUMUxDJ4hi7qzWWW91+cpTX9h27GDnXDep1A5DZg1NA0vXmc7vFfPwZFC0RvnSyG/ypZHffKzlY9mnF94kVh6l1Es7vifpd3U4lX+OU/nn9r3uQ5lTHMo8bN5zcBjCYix1iLHU7kZGjwNT2JzIPcuJ3LOPtbymCUr2KP/Bof/Fru+p+4u0wjUOZ57B0CwuFL/EheKXHneXd4Xb81ldbBBHMWEQEfgRo5MljkZfIrt4jmIly+ThKinHQsaSTqvP6mKDTrNPHEnslEllLM/YTBlzkFfndkPatwy+XPiPicKY2koLJSXX1+eZPjpKNv/Ag1sp3LjDD1b/By633wbA0bO8UvlVXix/E0fP7muiJIg93mt8nx+v/SGdKJltvdu9zDOFVymIPogCGjaz2Sz/y3NfADSU6gICTcuCphNJyZsr9/jz+ass9drEUoKmsdjpcKu9QTmV5unKFKeLY7y9Osd37nzC9/ybhDIGBbO5Ev/wyDM8VZnAiyMubizzr66+x784/0V+5dCp4edd6rX533/wA56pTPJ09RvkUs+BL8jZz9L23kWhnli0yefYDqkimt4i47lTiL5JLH1sIzNQm4TowkwMOQbS0UgGCE1gCIuWu4JjFjCETdoqD4yyImIZEsvEZCpWCaMyhEk/aNAPm090/xP7GgNDMwmVN4hJUmiIQWxRMjBPPBCSao4YVngejeq4QTYnUAoKZZ1OKyab1/FciWHAykJEcyMeGiUGbova3IfYmQqZwgTaQBGVKU0xnS7QqR2ns3GPoN9Eqhihm9jpEtnyDNnyIaxUjjgK6LeW0TSNbPlg92opIzob91i59SaTJ38Jy0mMwkw7w/iJL1IYO0F7/Tb99sqQGBmWg50pk6seIV89khzRwT1GxhHNlaus3n4T+ZgT3HshWq0RrX72RCXye9SXPiY/cgTdSGSHQjcpTZzBcvI0lq7gd9cHvY0CoRtJhImZSsizEMxf+u6+ZY4CQVrLoQuTvCjTVU1iItJajr7q4GgZ0lqeiABQSZ7yfgmCpmGXR3HGDtG588m+j4GRyZOd3RpPJcOA/vLdJ25o8llBSbk9rkITB49dEQKrUCV3aBeVjK5jlAsgNJwLp5JooF3QW7xF0K5jl0e5P4krDJPK+VcJWjWCdoODGBT+PIjifcgooLdwg9pHaUZf/CZWLlGSCNMid+gkUb/N2rvfO9CkxE54YmTxvfpNelFysl4oHiZvPH7v0KF0lQmnlPQw9la53V05EFmUSuHHEb3Ipxf5dMOEILYCl+V+i4V+k4V+k8VeQg474cGqG6amkzNtsqZNzkyRM21GUjlmMyVy+8xlGp+tksnt770rjQ6Nbp8XTsxwamoUTYNT06NcX6yx0dmc49WF4MzMKGdmNjP2bNPg6vw6Cxutod6/ks/w3LEp/vTdqyxstDgyVqbr+rx97R4TpTwXDicVOaWSh7YfxrQ6LuVCGl0XxLFMgtY1CMKYdtelUszQbLtk04mZTSQlcSxJO9YTDWX/rBDENe61/iVetMyLk7//mW3Hi5YwRRGhpbY51f1txvXOW3SiDabT5zD47KSJtdUWf/r/fZNOs49p6izd2+DEhWnSmRQX377F2FSJ3/gff4HTz8wSRTG3ryzz/X/3Po1ahzCI0TSYnK3yq//oFU6cT/qA1xbr/Jv/618wOlVCCI2V+Tq+H2JZBl/59Wf4+m8/j24kg0pJzHz/xpAoApzMPcuXRn4ToW2X4+4GS0/xbOkrXGz+ZEgWG+EafrQG2jqYZ1HYQMDA8g3iJRAlMI4DDp3Q57vz11jtd/mnJ55jJlek4fXpRSHV1Gbvo6EJirbDi2MznChUsYXOW6tzfOfuZXL3rvBUZYKUbnC8UGEqU+BHS7f5+vRxTKHjxzG32hus9bt8/enjQCIpimQdL5rDj5dITB5+kYyH/nbBFCkco0A/bBFEPbreGuXMYRyzRMOdxzGLhNKFSCE0nZa3TD41PjDgUDTdBXKpMYrOBP2ggaYJgriPUhIv7NAL6pjCxhrkmD1Jx0uBjqNlMTUbR2TpygaRiohJ5P2OliVWIZqWxBVIlWThGppBVzb3XP+hYxalauLKmi/q9HsSJy3YWIvIFwWXP/C43PXw3M3P1Fy+gp0poR99hVSmMiSMpp2lPHWe8tT5XbcXRwGdjXus3X47MbopTR/4Ph8FPWr33kc3bEYOvzDsPRTCIFOcJFPcn+onCj3aazeZ+/hPE8fHf88RRz6t1Ru0Vq9TnDgzdJsVQidXPkSufIhHuaYHbouFT/4KtU8Lnp5qJ9VDLFzVoyfbGFoiN+3LNrEW4mn9QYXRInrIwXsv2KUx8rOncVfn9jWQF1aK7OQxslObKjSlFLHfp3338iOW/MWCDH1k4G/pP9V0A8PJottp4v2cq5qGlS1ROH4Bu7RzprQKQ/yb99BMA6oliHb/3mPfpXHtfcZe+hbom5Mt+WPn6a/N07j6fhJH8fNkgQdA7Lu0b13CcPJUn3kNw0me77rtUDz5HGGnxcalNx4rU/M+nhhZvNtdHUozR+wC1mNmyADkBs6pADWvTc3fHyNuBS53uxt0Qp91r8NCLyGF870Gi/0W616H+IBftqElphBZIyGHWdNmxM4ymy0zm61wOFvmcLZC0XJ2zBTcDVPHxjh8dgrTNrFSj5aqWIbA0AVd16fr+ViGTtf1EwmgvTnwVkrhBiFrzS6tvkcQxqy1unRcn0jGSKXQNY2cY3PhyAR/9cF1Xv/kDrOjJRpdl0v3Vvny+aOkrGR/pFKsb3Rp9Vyu3lnj7NExUraJH8Y4loFtGSjg4o0lTs6Ocu3OKpMjRSxTR6Hw/JBTR8bQrd0flivdDp0gYCKbI2vtTiL6bkC355N2LLKZ3c2AgjCi0Upu4KPV3Lbfh1FMGMaknZ9/L5VSMYudf8to+ltkrJP7snPfe52SftymE9bwZQ+lJLqwyBkVcmYVfWAwEsmAblSnE9WIZYQpbHJmlaxRGcpU/bhHPVjC1jOUrcnB+hW+7LHm3aZiHyJjFIlkyLp/l5SeBRTtsIYixhJpytbU4PUEq95tvLjLnd4HmJrNvd6HmIOoken0WUwtNbwxL7nXyRolBDqdqIYf9xOJrD1FWi8gVcy6fw9LOBTMUQyx+R22w3V6UYNupOi0+nhuwCvfeBbjpzd45wdX+NpvPcfXfvM53vnrK1x+/y6nn5lFN3SyBYezz84ye3IcK2Xyybt3+N4fvs8PMz8bkkWATqvP0r0aX/n1Z/nW338Jr+/zZ7/zFr//3/yIF758mvJoUkGPVcTNzofD5TQ0nip8EbFD3+ZecPRM4oCKSEJbVJQMdPQx0GyI5yGaAy0F6KD6YG5O0oWDaz5jWmQsi5FUhmP5CsZDkze6EFyoTHChsinbThkmlxtrzHc3J5lGnCwvjEzzx/euMN9tcjRfoR16vLFyl8lMnmerSb6m0Cwy1nl6wcekzZNonxPFzxRe1Ga10x0MVJPn22Jr06W04S5s+7kX1Hmwn2+3auFG/+4T3Vdhpkjlq8g4xGuuDvMQgSTDTjMJlZ84TsbNJBZjcP5LFRMTI4nR2R9ZXLgTkMunmLsZ0O9JLDvpiVQS0llBuxkjH86QlBFrt99GKcXIoWdx8mMI3XqkIkAplcgkN+6xcvtNmivXGDVfJA79x+pfDP0uKzd+QuR3GTn8IqlsdV/rSSZ4Y/xendbaLRavfG/fxjj/PiDoN1m48j2EbpIpH8K0HlavPTkFQ0fu0D/3wLkSKv9TxT/qlk125iR+a4PmtfcfSRiFaZOdOUH5qS8gjM3xoooj3PVF+st3Hn9Hfs6IfZew10KGAbqVjOU0TcMuj5Een6Uzd+2RclRN6Jj5EsUTz1I68+KjN6ZpaJZFXGsgso9WOjav/YzC8adxqpNDB0hN6Iy++A00Xad95zJ+Yx21n75fIdAtJzExUoqw29rW+/ikEbldGlfewczmKJ56YXhs9VSa6jOvEfZatG5+mMQnPQaeGFlshy5y8AXrmvapZEf3k/UAvDjA22aZvDMuNZb43138S5bdFr3HaOQ2NEHGsMgMyGHGsKnYaQ5nk5iNw9kyR3JVKg/0AzwuZk5M8Jv/k28AMDpdefR7R0ocn6hyfanGn757hUouwyf3VhktZDg5tdmr1HF93ru5wE8v36XV9/DDiK4bsLjR4sTUZp6N0DRGC1nOz47z1rU5fu3FM9xa2aDd9/jSQNIKEEWS6/fW6Lo+fTfg+r01XC/ENHQs08CydM4dm8D3Iz68ukDPDag1euSyKaZGCnhBhHr4SfwQ/vTmNd5aWuA/e/5lnh3bvcew2e5zd2GDqfHiI8lip+vz0/duowuNv/Otp7f9vlbvsrDc4MWnDz9yvz4L+PE6a70/I29dIG0e/9TPNYWiFa5zrfMGc72LuHHysDGFzcncF3iq8HV03SCSASveLa60f8SqdxupYkyRYtI5ybnCV6nYM2ho1IMlfrj23zHpnObLo//hYBuSde8e31n8P/LLE/+Ck7lX8GSHH67+d5TsCXTNZN2/RyR9NATnCl/lmdKvJNbhmsbV9uuserdY9W5haCZvbXSGJPk3p/5zzAcq8X+9+t9wKH0BS3dYdq/TCRNp06sj/yMOp5/Gl33e2vg9HD3HS+Xfpmwn5ESqmMutH3G39yGj7svIWDJ7YpxXvn6WdqPH+nKT4+emGJsuc+PjeTqtpM9A1wUnzk9vIYVOxubWlSWW5upbZz41jfGZMv/gn38VJ2MTBhFhGPN//s//LQu314dkUSn1kOupRt589PW9G/zYJZAeamDckxJpdFEAUQRMQAN9GkQZCCDeAC3D/ciZip3m5bEZfv/2x/y3V97lhZFpLlQmOFaoULHTw4q/Uop+FLLmdmkFHkEcsdzv0A2TXmOJQkejYKV4dmSKP5+7xg8Xb3M4V2bD63NxY4mvTZ3AGQxiNE0nZcyQMvZvjvY5Ph3UY5k7/fxnyVOFUSaf/xWCboO5N34XSYyvegh0okE/mCu7SfyAphMTEykXgSBWMaZm05F18mLna8pwckTu5qB7dTFibamLUpt9RPvpJ4ojn9VbP8XrrlOdeZZ0cRLTzqAbqaSipWmgJHEcEoceodemvX6b9bmf0W8mNvtuZ4360ifYTuLc3msuHUgKGoUuq3feplufZ+TwC2TLhzDtLLqZQhgm2qBHWymJjENk5BP6fbxejY25D6kvfrzvHkVN6Cil8LobtGt30E0bBsqinUx9RDaNSDsIx0bFEhVFiJSNdD2iegtNF1DNEFY0vFyA7LtE9Rb9zipaPo1ZdVBRnLhURjFRvYXsu+j5LJppEK0m91DNMtFLBZTvEzc7KCXpNZe487N/x9jxL5CvHtk8Jro5kDImxkxKxigZI+OAOPLxe3X+Js75h6GUApk49NqlESoXvoBu2XTuXiHstZGhP5TKCsNCdzKkxw5ReeoLOCOTD6xHEnQa1C+9hQz3P97VnWxiCCME2kD+qQkxkILqSWxEsQoPmVIa6QzO6DRGOgcykbUrKQc/J9JSpSTSdx+9P0rhN9YImus4ow88e6uTlE4/T+z38ZvrxL63SRq1xPVUT6WxiyMUjj1F8cwLCMNCxhEqCrf0cQ43FUX4t+fRUhbmHhX+sNNg/b3vM/Ha38HMFofPft1KMfbSt0iPH6Z540OCxhqR10fF4VDaqmla4kZqmAjTxszksMvjZCYOE3ZbbHz8U7za0qM2/0QQdpvUPvgxhpMjd+QsQk/8QYx0jrGXvknUb9NduPlYFdInRhYfJE81v0MgI9LsPw7iQbRCl250X3+9/xF1M3C52dmffbCuCdKGScawE4Jo2JTtNEcGxPDo4O/R1Pbq1JNAOpfiqS/sz5GwlHV47vg01xfX+c6bnzBazHJiqsrXnz7O0fHNh+aV+TX+7Y8/oprP8M++9gKHRovU2n3+9fff2yJXvb/O549P8+6NBd6+NsfPbi1yeKzMqQdIpaELZiZKXLm9wrGZKrmMzXqjRxBGZByL9Xp3mDtZLWYxDJdyPk0hm6JaynJncW/HvIvra/x47h7/8OxTrKy3kQP5qh9EVMtZCjmHbt8nDGMmx4pUiptVq3bXo9nuEwQxYRSTcSx0XSCVotPxuHVvHQUUcg6lQppO1+PDywt88Mk8lWIGx7EYH8k/RPwlYdzCi5eIZR9N0zFEnpQ+hS6S8zmRYSmCuEYg60jpoojQNBNTFEkZ02gPhMZ70RJBXKfpvUMk2/TC6+gihaYlg+ucdQZd2+xlU0oRyg38eJ1Y9gENU+SxjbEt7wulx6XWD7jReZNDmQscz76IJdJ0whoZs4SpJ0SsGa5wsfmXNIIlnin+CmVrilX/Flfbr+PGXb4y+s+2VAP3g1D5XG+/xan8F/nyyH8IaLzf+BN+tPbfcyL3MlkjOS9fKP8dFJLfnfvfULYmeW30n2KJ5Kae1gvbJl1u995nzD7CufxXyJlV2tE6Y/YRdGGSEUWmnFPc6r5PPViiaE0gNEE/brHu3yVvjlCxZoAWKcfETpmYpk6umCGdSaEbAjGQUd8/zr4X0ljv0G27hEHExmobr+cT+CFSKnQ92T87ZTJ5eARnMFGh64J8MY2Ukm57a5O72BIXoehGBw+ml0pyp/cJ3WizKlC0RrD0Epo5kCEZDxvHbJVg6ULwa4fOcChb4i/mr/H9hZv81cJ1vjx5jN88fI5DuSIAndDn7dU5frR0mw2vjxuHdAKfxV6L8+VNl2ahaYync1yoTPDG8h1+88hZbjRrtHyPr07ubtD1Of52wyjnEI5NuNFGeQebpA2Vz1q0u1tfX+5cFevL9rbXdCtN9eTLrH7811v60u6Pix7+ey8oGdNcvkp7/Q7Z8kwSiZEdwbCzCKEj45DA69Bvr9Bev43bXkXJTbOeTu0Ondqnq/goGdNtzNNrLg0yF4+Qzo9jpYsY2Tzm5FgS2t2t0778M7r1eTob94b9qQ/Dmp0mbrSIO93hgTDTRSwnT+C2aKxcobbwIULoycA/ChPjkYcYtnVkmtS54+iFLJoQyJ6LyGWI1uv0Xn8fNA15NEetuoKmrxHLPv2lT/Cu3yL72vOkXzhPcGcBY7QCusC/cpv+u5dwLpzCnBmn+Tt/hgojjJESuW99Ce/iNfrvD3r7lMLr1Zi7+CfJMakeJV0Yw04XmJh2KFcNamsei/N94tDD79fxujXczvrAeOjJYHQ8cbpsNSTRAVarogCvkTiXOtVJ7EKVkee/Rv7oU/SW7xA01okDDzQwswXSY4dITxwZhq8nh0ARey6du5fpzF090H6XTr+AlSshzCRyIvnbSiIoLGtIyh6Oo8hMHSVVmUhkpGGQ/ImCbT+3b1+iv3LvkRl//bV5uku3sUujg4zApMcuf+wpzHyZ9q2P8TZWkuMw+J2VK+KMz5KdOo5drKKUQoY+7toCsdencPzC9g1JNXTnjZb2dott3fyIVHUiCbtP5x7IXdTJHz5D7tApgvYG3sYyUa8z3D9NNzBSaYxMHitfwcwWhhXg1q2Pt2fXfYbwWxusvfs9DCebOKQOJgOsQoXxV3+VhR/87mMR1ydGFqtWDkPoBDLio+Zdvjx2jryZPpA0E5IIjdvdFRb7CdFIJKD76+3bDbomcHSTjGGRNiwyhkV5UDE8kq1wNFcdEsOd9jcxrXBx9M1QbC/2aARNRlMjBwoC92IfUxgHWkYpxc2lGjnH5j/55Ze4cHhyx3Ov2XPxgpDzs2McGS8TS8niRot7aw2yD8kubdPg6HiZmWqB7314g1q7x2+8dBbxgERN1wWHJ8vMTpaHx+W02jSMvv/3r3856eG4b3Zz/xhVS9k9qb4bhsSD2aPv/vATvCDEtgxaHY8vv3yCC6enWF5t8b3Xr9Lp+fzKV87y9JlplFJ88Mk8H34yj1KKO/MbHJ6u8M0vncb3I67dWqXd9Wh1XI4dGuHbXz3H7bka7354l1v31vnujy4zM1ni177+1JZ9jGSftf6fs977S/x4HU0T2PoE07l/Stn54qZxgApY6v4uLe9nhLJBrDw0dNLmLLOF/yk56zT3+7Q23B9Rd9+g4///23vvMDuvO7/vc85bby9zp8+gDHohARIg2KtIUW2lVVntSlu8+yR+EjtrJ7bjJHac53HyxO2xYydO1uu119s3WcvSrqRVW1ISxSKCDQQJgOh1er9z+9tP/ngvBhjMgBhQkFdr3w//4OC9523nbed3fr/f93eKIKoxUfsSM41vcNUDtLv0j0mbu69ebZxgnJnGNyg7b+CF8yAEttZHT+ojdCWewNAKCATz7iiTrVMMJnZyqPjTZIzY0O9PbFtx78w6l5h3x9ide5y9+afia2NvQKE4Vn6eydZZRtLrF+y5iq2leaLnl7G0ZBz+Kj7NycoPmHOvLBuLKT0PxAqrurRIannsG2oFXo8fuewvfIxeeyT25rF1xe8bUvu4UH+LOfcyg8mdJLQM063z1IMy2zIPkGvFOb1CXMs7kFIgteuucnvM06y7nHjrEm++cIryfA2n6dGsO8xOLrFpx8pSNlKTJFMrn6Grz+D1eSpSSErWNQ+5Ak5UDjOY2EpKX20c34hC4YYtFtwpDs9/i2rbSymQbErtJm3k32ft1ds2NI17uwfZXxpgtFbmSxfe5fmxs6QNk1/ZGYfwHFuY4nfPHKEnkea/3vMAGzMF5loN/s3J1yi7Kw3hLivF/b0beGN2jB9OX+aN2TFGcl3sLq6dN9LhP33SD+zG3jZE+es/xL00fesVfkykejbRtfUgs++9dJu12t6fKHCpzp6nOnv+jm3zdlEqpFWdplVt968QGP095Ld+FL3UhdB1Jr/y4i230/XLn6f2vVdovHEU5cVezlz/NuxMN/X5K6SKg7j1xdhbQ/w9r8+P4jVWTwIITdJ45e1l8ZDW8XOYGwfQu7twL43TOnaG1rEzCF0n9dA92LtGcE5dQJgmQtdpHTuLe3GM1P13k9i/i+bRU3jjM5gjQxjDfXijU+hdBbRsCuf0xTX6JKJVnaFVjesbGiZs7UnwxIEkR990efE/1D94h6+DD388Sa0W8dL3HMoL6/fse9Uyi8dfJQoCug88hV3oQeoGie6BFZ7DmxHnKbaoXTnN/Ns/uG0vUdfeBzHzpduOjpOagUzdWt03aNVx5icJ38dYDOoVapdOYnf1kxrYvFz6QuoGqf5NpPo3xZ7K9jaErt9QakMReQ610bPMvf19zGwX2ZG9ty+Sswazb34XISS5bfsws8UVCqmx17UbK7+2+vhPBCrCWZxm+vU/Y/DxT2MXe+NwXKlhdw/S9+BHmfjBH+PXbm8S+44Zi1uz/RxduoQXBRwtX+TNhXNkjQRFM31L6f6r+FHIaGOOV+fPMNqMQ9B6rBw9dm7dx6EJga0ZJHVz2UAsmEk2prvYkikxkimxOdNFXyKz7uNSKN4uv8vDpQeWl020pnhu+rv8pU2/QPI2xHzO1y8wmBigYObXvU4YKeqOS7XlMj5fidXjhMAydboySfLpOF+ylE1RSCc4emGSlG3h+gFnJ+aot9xVxiJAIZ3k4LYh/t1zb1JMJ3hg12rlNiFWBhRf/+8bXzU3Gtq3miiIlKIVBLFKY5uUbfL0o7vo77l2zbeP9BKEEUffG1ux7mK5QTGf4qEDI7x17ArJhEl/b54jJ8YY2VDil3/mQd48doW3j4/iOD737BnG9WJhkr/6S4+veUxeOMt0/WuUkk+SNEZo+qNM1b/ExaV/Qc66G11reyIVOMEEGWsvaXM7ukhT804xWv0tQLK79E/QRHxfFOyHyZr7mG9+j7Ha7zGc/UVy1r3LnsWEsWnZ8AiiBmO136PivEXBfoCstY9QNZlrPMdY5bcRaHSnPoImLKr+HG7YpJgaWjYUb0QR0QjKQLSchwgs5/0hYNEbZ4TbMxY1odNlbcBaLgMiSOuxClczXD3rv1567M3YWuqmH7JuayMlayMzzgWWvCksO8m0cx5D2pSsDcs5muvhwskJvva7L5PJJfncX36Coc3dVBbrfPk3X2RuamlF26sG6K3QhM7W9D4Oz38TN2oBinfKL1Ewe9mVvY+klsGQFlJoCES7tmJEqHz8yMONmow3z/Pm4nNMO1eWS8EUzV62pveR1tf/LmwFPjXfRSCwNZ0uO8V9PcOcXpqjep1y3oLTpBX47C8NsDVXIlQR440lLtXK5M2VE3W2HgvdDKfzfHv0DHOtBp8e2bvud2mHDqhYQVlPZDASGUTbSxc4jRUhpEJq6IkMuplAtAeTUeDjt6orRDDMTBHdTJDftBepm6S6NyzXE/RbNbzG0rUBtZCYyWxc501qqDDAb9ViAZgfQ1mJHxtK4U/OMPcbv0/q/gPkPrL292w9OLUF3PoimpnAa9VoVWcxk3kCp46eyLT7brVBEtUaRI0WkeMQ1ZqxB2dDH8LQMfq6SOzbGeeJKYW5YQD3wujyDFswt4h7cQyCkLDaQDkeMmERzi/ij06RuGs7YaWOsaEP9+IYUePapJVuQF+/hmnF26pWIuZnI3wPnvtmi2RKks6sfFdvHNFp1OM6noYhGL0c4PuQL0jyBYnUoNVUzM6EhAH09EqSaYnWXj4/G+J5cftcQSKATFbQqEMqJdA0SaOmaLUUmazAsgS1WoS7hkCpV5mnOTOGV1kApeja9wh2sQ9pWrf4xihUGOE3qtRHzzDz5vP4jQ/+rf3zpj5xHmnEucCJ7kGkaa84/9gjtnrcqsIQv1mlPnaOuSPfxy3PosKQoFmLa1f+iKgwYPq1b+MuzVHYfQgr3x0LxlxnNK5rO0qhAp/Qbb2vl/XHgQoDWtNXmHnjOQYe+SRGO4pIajrp4W30HHyK6cPfJnTWL3x1x4zF+4rb+N70MWp+Cy8K+J2LL+CEPg+WdtBtZ0lqFobUVxkQoYrwQp964DLemudrY2/w6txpQhWhCcmWTD+bUuubtc6ZCQ50bWBjusjWTDdbMiU2Z0r0J7IfSJEzrsHoUfaW+M70d9mS3owQgh6re/nY5915dF9HFxpdViwWsuRVcEOXiAhLmuSMHApFLajzw/nXuKewjw3JIfJGHkszaQZNGkGTUIVIIckaWRLtEEKloNp0yCQsqk2H3/yzNxAiDjHLJi0e3TPCJ+/fTTGTZNdwD5956C6++eYpvnr4OF3ZNA/v2sjBbUO8e2lqlXGXSVjs3tCHUoodQz0MdeVv2heRUsw376yimh8FNH1vxWeorydH5n1yEq+iSUmpmObC6BzffOEEAz059u6IjaFMykJqEk2Ty/mVfhBe8wS1czHWevA1maY//WkGMp8HIIhqKOUzVv0d6v5Z8trBdjubXaV/uGLdruTj1LwTVJy3UPgobASCpBEb4TXvFAKdhL6BtLlrOaz1eiru25Rbr9Ob+igDmc9jarGHLqEPc6H8zyk7b5C19pE0NrVVAiWavPlsX6TCtvS8tsqQkmhxrlD0/qFja0vUCyx5s4TxD54XcrOC9VfRhM6G5F28Xf4GC944CS3LvDtG3uijaA5SuY3crepig1bD4/4nd7N5Rz9hGDE7ucTEpblbik7dDCEkg8kt7M7dz/GlHxIon4iQ7838Ee+WX2ZTajdFq5eElkIKjVAFeKFDPaxQdmeYbF2g4i8QLZ+HIKsXeaj0CQYSI7dlDI83Kvxg4gIN36M3mY7FqBam0IRkR/7aO7UnkSZvJXhrbpysadEKAk4sTlNxW6uMRYAuO8WhnmH+9cnDdNtpHu3fvKpNpBQt3ydSiiCMyCfs257J7vCjI1M20jYRph7ngpVraEkbYRmE5TphvYXRnSMKQsJKA9oh2np3DiJFUGlAECIMDS2TQqZthKahwrh9WI2/CUJKtGwKc0NPHJbYdAkqdZS7Ro6eACOVo3vXw2T7tqJZNqHnUps6z+zJlwmcOiDQExl69z5OsjjQLuKtEfkuS1eOMXPyFVToA4LStvtJ924mUexH6iYbHvzMsmLrwoUjzJ18JTYehSBVGqa0434Shbht5LtUJ86wcOEIbm3xjhiMMpNG6DphpYowdLRsBhUEhOUKwraQyQRRvQlKoeUyCNsGpYiaTcJqLb4GQiATNjKdIqzW0As5hK4T+T7B7ALcWHrgJmjFPDIVG2xRrb5mpE99drXXrsEodraHwKkTuGtX1VSRWu7nq99UAGEZJPbvQmgaS1/6DghB7uOPg37tva7C8Dp1SgUiTiYNK3W8iRnSjxzA3DiA0d9D7bkfrthvJiP5xGeSdPdqmCbMTkf83//0/Y2mv/l3sxx53aPYJckXJf/yn1Sp1yI+8skEm7foGAY4Dvzhb9WZHA956AmbHbsMUmmB78Hv/WadibGAZz5us3uvSaulGNqgU1502LBZZ8dugyOveRw76vHAIxZdJY0fvugwdiUkcJo4C9PLeXyNqct4lXki34tz4CrzFPbcT2pgBN1OxgaUpkN7Ak5FYWx0eA5eZYHK+WOUT7/1gUtlOAtThF6LOykGdD1Bo7q6NMZaRBHVS+/hN6oUdx8iNTCClkihGSZCxjmVAKgIFYZxXq7n4lUXqVw4Rvn020TtSaOg1aBy4TjJvjg1w68vsUq56nZQivKpN6mPnSO/414ym3ZipHJIs50vrOnL+bFX28clQQJUGBD5HqHn4CxMU714gmC9Rr2K8OsVmjPXHCOh21r/+tcRBR61K6eZtVMUdq8sB2cV+0j0DFMfPbPu7d0xY3FvfgMHiluZd2vUA4clv8FvnH+Ol2bf476urezMDtFj57A1Y1n8JlKKRugw0Vzk2NIV3lg4y1SrvDzUHEwUOdi1haHkzQUi3NBnyWviq5C9hX5+65FfwJC3r77nRyGTzTIb09c8NArForfIi3M/ZMad4bmZ7yEQfGHDzwBQDaq8OPcyTuTihA5f2PB5uswiR8pHGW9O4EQOlrT4xMBH0ITOm4tHuFi/hBM6nDbP8ETPYwwnBzm6dIwz1bOEKiJjpHmg6xCbU/FNH0YR33rrNG9fmOBTD+zhrk396FLi+D7Pv3OO185cYUN3nqf2bSVpmTy2d4TH9q4uqP7svavr/EUqwvF8skmbx/auHvBdjxeG/Ku3X3/fNreLH4aM11Y+BPF48tpLTClFte6wUG4s/79Sa5FKmDiuT28py313bySdskgkTMIgimXGb7JPTZP4QcjYVJl00qKYXxkSacgcxcS1+n8Cg6SxCUWIF17Lh1VKESlnOQRVqQCI0EQKP4prcGlX43Rvg6p7jCCqoskUbjiDG8Zx9qHyEMLACcbwwgWSxiZMmYhVZ8M6ofLRxGoDRxN6u124LIADsRHpRS1CFZDQsu1zjSueXW8chsqnHqyhCsf6PG3LbZF3THJ/MLmLk9UXmXUu0QrruGGdLemDZPQiFdZf7ytXSpPNJzl55BK5YgrX8Tl3fJzKYoPugfwHOrarhZqf6f0irbDBaOM0zXa/z3sTzHsT696SLZNkzS4e7vo4e3IPktBvL680Z9okdIO35sZ5eeoSmhRsznTxxW338GDvtXzHu7v6+bmt+/iTSyf4/bNv05NI88TAFu7rGebd+clVt3DOtLi7qw8U7C70sCGdX7XvMIo4MzdP0/epux4f3r61U2nxz4Hk3s2kDmxHGjrmhh5qr5zA6C1gbemn+sI71F4+TumLH8KbKVP5s7cIFuP3cddnHyNqupS//TrBQg17yyCZh/Zgj/QjTJ2o5VF58V1qrxwHQM+nyD68F707h5a08aYWqfzgHZrvXlgVJieljpXtInRbzLz3IlHokxvcSXHLPfitKnOnfggoUAopdRYvvI1bX0BqJl3bDtG372lqMxdpzF4BFPNnX2Px/FsMHPgoqe6NXPrBHy57FgOvSRTEBquZLjB8/6eIwoC504fx6mVS3RsobT8EUjJ78ocErR/dU5M6eDd6T4nqd36A3lsi9+HH8adnKf/Jd7C2biK5by+Nw28hLJP0Q/ehl4rxxPToBI3Db+FdGUcYOvbOrWSeeoTa914h9cA9aIU8wUKZxd//CtE6Jm61fJb8p57F7O8j8jzcsxcRxvonwZzqrXO81kQIlO/HEwjFPHp3AX2wh2BqHXoSShHMlfGn5kjetxfCCG90akWTej3iT7/SJIqgu0/yd//XPP/PP7t1NGa1EvGHv13nqpNn04jOo0/a/Ma/rFJeiPirfyvLth0GiwsRr77o8vorLgj4e/8gT7FLEgQaO3cbfP0rTd454vE3/k4WTcLZkz47dhl090qSSUHfgMbMVMjEWPwdrY+epn6zvEIV0ZwZpTU/hV3sJT28DbvUj5HOIw0LpSJCp4m3NEdj6jKNiQs/cr28K9/6Hcx0gcBpLD8nPyqGLTFsDa8ZEni3MeGiFK2ZUSbnJ7G7+kkPbcUu9cWGmWHFua++R9Cstz2yozSnLhO0VoYYB40Kky/+8W0ft6ZbGFYmNtLcertG5zX8+hJzR77PwrFXSPRuID2whUTXAMI0kaaF1LR40iSMjfmgUcOrlXEWZ3DmxvHrlfcNidcMGyk0At9BqZAo8CifeY3KhTeI/JDIjyeONFOi2TqhGwACacTebaUUQpOEXojUZVt3SyF1SdAKiDxneXuhEwtOinY7zdSQhoz3sQ7umLGoCckXNj7CjLPEkcULtEIPheJkdZyT1Viu2xAaCd3CkgaKCCf0aYXecs7aVQRQMNM8238P9xe3v2+I04xT5Rvj7zDaWOSZ/j18qH/3Tdu+H4tunf/5na/wB4/8V8vLpJD02X18ZuhTvL74Jr+48QsrjqUVOnxy4BNkjQy/dv43mHPnyRlZ7i3s55783Sjg3178bWpBg83JjTzd+xTn6xf5UM8T7MxeE7dZcBcYTg6xM7OdvJkjqV3z2NQdl4vTi+RTsSBNXyEW3HH8gL58hvOTC/i3IYWrlCKMFH4QMlep8+rJy3Rlk9y/4/2LB3thyO8cO7ru/XwQCrlkXKdRrjQW3zkxxmvvXGKp2mKp2kTXJNs29+B6AaMTi4xPlWm0PLZu7OaR+7aQzdjLuZcJ26CQT2LoseBMf3eO7q4Mv/eV17hrxyCfukExVQgDQ7s2OXG1YDQoonZIoFKKIKqy2HqJudYLeOEcoWoSRT5uOLPuOk5r4YWLhKrB5aVfR4rVnseMtWdZTbRgDpLRu5h1LjLdukDJGkaIWFFQINteOknO6MPSUky1zjKc3IshLBphmWnnAqa06bXjiQJdmlgyRdWbpRnENaVqwQITzVM/8kDf1tI4YRU3aqAJHUWEIawPVGsyrRcYsLcz7ZxjunWOjFGiyxoCBFKXdPXnyHXFhlUml6S7P4+dMDFMna7eLIlU7C3bunuQZ3/2EM//8Vt89XdeptCd5b7Hd3LXoRHefe3CsifasAz6hooUuq8TuxJg2gbDW3tJpld634SIFVA/N/TXeX3x2xxfeoVmUMeLXALlt0tgXPMcxmHlMs7rFAaGtEhqGbak93Fv4QlK9sAtPYpXRXukvJar2ZNI8wvb7+UXtr9/iHHKMHlmeDvPDK8W3PrpzXtW70spnDAgZyV4cnDrqt+v9kHGMqm6Lju7S7edu97hzpHYNsTc7z+HvXWQ3FP7mf/SD/Am5rFH+mmeuLUAi1HKkvvwQYSAuT/8Lt7kAnouTeR4KC9+Jxp9RdzxOWb/3bcRhk7ho4fIPnoXzvkJovrKvFekxKuXmTz6Z7iV2CDxGkskS0OkShuYI/Yk+c0Ko4evr3krcGsLZId2kCoNt41F8Opx7k1cpD7Eqc6tOQgujtyLkcpx+cX/j/rsRVQUUZs6h5kpkh/eTWX05B0xFsNqHa2YR8um0ZJJQBDWm2i5LDKRQBg6wrZIPXiAsFZj6Wt/hkhYpB86SO7ZJ1j4gy+jghChaRg9JayRYZb+5DuE9QZaIbcuQxEg8+TDGH09LPzBlwmWqmQ/9Agyk74jYhvKcYmqdZTnE1UbRPUmyg8Iqw3CcgW5tEj6kf3YP/csztgMYmYGvVJG0yCqNwjL1nXb8ggWqyg/vpfCpSrB1BypQ3dR+eaLK6xATYMNm3R+/ldSVJYUiZQgkZIICTfR9FnmzEl/hUO2q1tS6pF84S+lcRyF6yg8X5HOCD7380kSCYHnwfAGHd2AXE5SryucVlx6Zakc0XIUYQTvHfPoHdC57yGLalUxdiVcr/M37oPQpzU3Tmtu/NaN7wAD932M+dOvUZ++eEdqB3YNJejdlmbsRJXFsdatV7gBFQa0Zsdozd5c7GoVQsTexw9YCgKg2Leb0sDd+F6dmStvUiuPsWbIte/RGD+PqDtE6VnKs2cJvLU97re1/54dGHaGhckTuK0lrLxNdmMeM21Sm6hSG6tiF2yyG/IICbWxKoEbkN2YjyfTdAlCUBuvkupNxyWXBWiWzsLJOZRS5EeKGGmD+kSV+niN9FAWK2th5iz8usfsO9PrCga7Y8YiwGCyi1/d/jH+7fnnOFq+RMVvrjAEfRXi++//ojOlTreV5RODB/nE4EGK1vvPpm9IdfGxwX28MntuxXI/Cqj6Dm4YoAlBSrdIGzZBFFLxW7hhgBSClG6Sua42WVxXLmDJa9BlZdCvhgJcDbdALXtG+6xeDGnE9Q71JH7k0wiaPD/9fQIVoAudOXeecMXMglr+7+p2nuh+lHeWjvHd2RcomgUOFQ8ykIhFMtK2xVBXjsOnr/Dc22fZPtRNFClGZ8u8dnaUnlx6RfmMWxFEEdOLNU5cmebC9AJHL07y6Qf3kk2uX0RoIL22ENDtooD5ZgO3/bDfaLgBSCl5/MHtPP7gyoHsqXNTtFo+Tz20g5GNJc5cmGFqtgIIPvTwzuV2u7f1s3vbNcGRDYNF/sovPHbTYxJItDWMtJXH7TPXfI4zi/8b3YmnGM78CkljGE2muVz5daZqX7nJmrfus3j/SQYzXyRjrh6o6zJD0oi9Ql3mICPpezla/g6vL3yFjam7MWWSerBIzuhhS/o+LC1Jn72FDcl9nKsdBqBoDjLnXmGydYZtmQfosWMly4SWpS+xhROV7/PW4tfJm32UvQkmWqduUPi8fYaTe3hn6ducqrxIzuhDEbIlfei6nMfb3F7qLiZap5l2LrAhdRcFc4BARVg9CX7ubz5Dth0++chH7+aRj15TSfvirz6z/LeZMNj92BZ2PLKZLnulh/nxT+xf/ntoczf/7T/8mRW/SynZuK2Pf/r//pXlZZFSNAOPlN7Ow9BTPN79WQ4VP8LFxjHGmxdY9KYotxaoNutoukITBiLSSZsZCmY3KVFkOL2VjZntyNBCExpCaWveOq7ro7XDrefmawghKOSTmOYdfa0D7UkmpfCjkJlWjZemLtFtp3i4b9PqtsSHmzAMJpaqGFKyqVi448fUYX0Ei1W8qQVAkNi1AW9sjnCpjr2lPy5YfQsSuzYiTZ3qi8donRoFiENWr8ObmKdx5CzeeOw9ap0dI33fDvRCGu9GYzGK8Jz6sqEI8WAxcBpo1vXvA4Fm2miG1Q7LE2iGjYpC5AeoXZgsDRN6LYQmsTLXIohCrxXnRlqJ9dXVuAVhtY7yA7RcBgydqNlCOS5GbwlpW6ggQMuk0HMZFp97kWA+FrFqvn2c/KeexdqyGefM+dir4jjU33gHfzruq6i+/gFq8t67qL3wKt7ENIQhte++TOqBAx/onGwbgoBl1U/33BXcc7GxXrvOY1ifmkNK2LBVp/DOJBcvBFQWIjZt0untk1zKR0z/cOWk8/XbAhBSgK4RLFVxTq4MkbUswcg2A4XgS39QZ3ijzqEHrypUQ3evRjYnSKYk3T2S8uI1pdLohtTLscshF88F/P5v1ikvRkgJ87Mh23YZlLo1/vQrTRbnI/bda6IUzM2GWLZgYEhjaTGit0/DacUbPHbU5xObdB56zOLlFxwuX1g7R03qJpqZQEiJiiJCr0UUeLESqWGBihCa0X4e6gipoVkJpGbE7X2HyPdi9VLNiEO2hUS3U/G9LeRyCQkhJFEYLOcB63YKqZuoKELcZvSdZgiSOQOpCYQUqEjRKHsEnsJMarRqARffKtOqBCvWSWQMdCv2ZLVqAU4tQLckdlpHNyVRoHDqAV7rujGy1OJ93EJiVlo2RrELd/L2DWwhNAwrTffgfmZG36S+NI7rVAGFaWeJwqBddkLiOTWUCtF0C9+t47aWCP1r7zSpmeiGHfd3FBB48W+6YSNkXLpCKUXgN4lCf7l9/D5LLNsBmqUx8OAw6cEsC+/NInWJnbfou28AM2vj1z0K27tYPLtA38EB3IpD9919TL85QX5rgWR3ivpkjYGHhpk8PI6ZMfEbPqW7e5l7d5rtn9vDyd8/Rs/+Pkp39XDpW+fY/rN7WLqwiFe9tYf5jo8qNqa6+Tu7P8s3J4/w/PS7TLXKtEIPLwoI1pj6EQgMqWFKnaRusTM7yCcHD3GguAVb+2B5Q6GKuFSf52tjb7PgNkhoBvsKw3x08G5mnRpfuvIGc04NU2rsyg3w2Y0Hl9dthh5HF0d5buo4v7r9aboTGSQCTWjMewuYwiBnxEm0axlMk84UVb/Kh3qfJKknOV07s3wzSBF7EGpBjSVvibSeRm/XbNqb2832zHa+M/0cY83xZWNR1ySfOLSLpGXw8slLPHf0LEq5dGct7tu+haf27WRTb3HdfRMEEWcn5vjd7x0hm7T42H07+cShXete35CSf/XsT2HfRjjLzXCDgP/lpe9ybHbmttcd7C9w/so8L7x2lpfeOIehaxy4ayMbB9ffFx+USHnMNP4UTaTYVfpHaO3cPaVC/LDCzaZpYi+aaHuV1m5j63FBWFvvp5C4bw3v4rX1hJDszj1JSi9ysvIix5aeJ1IhGaNEJvf4cu5fUs9xd/5pElqGU9WXOFd7g4zRxb78s+zIPrzsLU/pOfbknsSPXC43jhLWfQYTu3is5xd5d+l5TBkbYBKNjN5FQsu0z1sRKB8hNArmwHJpjOvZX/goTljnbO0wQeSTNbrZkLx7hbGY0Uuk9Nz75ixepdfaTELLktILdFubsGWaJc9htlWnYCUwNR0n8GPDRbTVe1U8VSNF/M6JlGK2WUeXkqKVxI0CGr6PACxNx5CSRnDt35oQ1AMPASR1Ez8KCaKISCkSuoEfhTw3foanBreT1PU45F4IknqavbmH2Jt7CICx8UVOXBmnu122pVpt0tebI2hGjI0v0iymmCu5XL48QTpts2f3AOkbvJdBEPLu8TGKhRQD/QUuXpojDCM2b+qmkE9iWTq+H+J5AYYRe9WlFJimjueHRJFCCHDdeNLMsvS4zpoTG6C2baBfl2MUqIjJRoXji9OcWZrnrdkxfnbrfnLWGpNMbcVkJwioeS7zjeZNc4Q7/PiJXA+iOKcmannt3JoIod1CsKH9k5ZLETkeYfXmhkpYbxFWrk0EqzCKU9H01UOMKApumm+1fDhCYKW7KG49QLI0hGGnkXqcyyXlBxu26IaJmS6y6dEvrKo/GIeKCYSQNy07sV7CWi0u+9DbTdRy8GfnUL6PMdQPYUhYqyPTqdgTt3StNIhyPaJGC61wTaRD+QHB3K1LUK1CCPRchmBhcdn4DWt1lL86h1RKSKcFhgGNhsJ1Y9EWwwDPh8BX3P+AycxMxNho7DELQ4Xvx0ZkpEDTBLYFrgdOK/bQ9Q9IfF9jbi7CDxTd3RKldBYWPDQNXBd0HXRD0GoqkBKZtDGG+7C2DOOcvEBUWxlu6DiKi+d8PvQRm//iv8nQqEe8/YaLEFAo2nzxVyw2jlgIEfKL/2WaP/jNOrOzEXOzIb638ps7OxPyjT9u8tkvprDseJT2r//POpcvhtRrEZ/5uSyLCz7TkyHVpYi5mYg3X3V5+Ambhx6zCcNY+CYKY29jva5oNVXscWyt/X1PlobIb96HnkijwoDKlfdYunyMVO9mCiN349WXMNMF3Mocc++9gpkr0bXtPoxkhijwacxcZunKCdJ9I6R7NzPxxp9iJLP03/NhFs6+jmbadO95FK9RRjOTRIHP2CtfRkhB791PYWaKBK0qRvLWytzX070pySO/tBEBaIZENyQ/+K3LTJysMrQny4FP9hOFisN/NM7k6dg47d+R4a5nesn320gJx/5shlMvzjG8N8eeJ7vJdJt4zYhTL81x+qV5ojDOWzW7u9GyOZyxUZTvxaKKpgVRSOR5sfCNaWEUiiS37cCdmUJaNqBQngdSQ3lxuRdpWUTO6neNmcgxMPIwyWwfPUMHKPTu4PLJbxN4TTbt+TjNyhSmncWw0lw++W3cVpls1wi9wwfw3Brj536A51RASIp9u8h1jaAZFoHXZObKm0RRQN/GQxhWrBUgpc7MlTepzF+g0L2dQt9OhBBoeoJGNS5jYRcTqEgx8/Yks0fi0OvCji6EJpn44ShSk5Tu6iEzmMUpt5h7ZwYjZVK9UqFnfy9e3WP6zUlS/RmWzi9S2tNNFCrGXrhMfaJKejBLfqRA6IVMHh5n/sQsvQcHsIvJH7+xqFSIUk2EuDpYbiFEgpRh8/mND/OxwQMcXbzIu0uXOV+bYtpZwg19rhZfEEBaTzCU7GJ7doD7ilvZmunD1lYrIN0OVa/Fe0sTZIwE//2ej3KuOs2Xr7zFcKqLOadKpCL+0b2fY6pV4dfPfJ+7qjN0W2kCFfHq3HlenjnD397zMTLG1cGx5KHSA/zh5T8ibxb4xY0/hyENMsY1D1tGT2NKk/5ED6b0eH7meTJ6hpKRINE+H4Fgb3YPRxaP8u7ScZ7tfYzh5EZ+OH+YS/XLIAS9Vg+DiQGU8lEqTuDvzhl8/tHtfP7R7Qih4XrvEoTjWEYvup5GqQBF0P4ohEDbE6EihNDj/lYhQpgkLIMP7d/Gh/ZvW6vrbompaezr62+fT8z1uWi38wIKo4iMubYXL4hC/ChCttVXg3ZZjvi3CGkJnnliJ08/sROFQhNxfcWAiDCICFU8GNaEXPaKmJr2gfJZVyMQ6GjCIlIeRBJFgBNMUvWO3bRAtql1IYSOE4wRRJV2uKpCaxegBsjbB5lrPs986wckjA2kjBFAi+PZcdFEAk0kl/tZFwZb0gfZkj645j6vktLz3J1/mj25J1jyZmiGFbqsYWrBApZMLIdGpvQCD5Z+lvu7PtfO/ZRtUZm7EQi8yMHSUnxk4K+x5E3H66mIaec8Q4ld/MrI/9Xubx8UhCoWFrJkkid6f/l9j/GTQ3973VcgJEQRMpjYQdEcJFKKk+VpLtfKHOweYrJR4bXZ2AsihVgu6xKh0IXGSLbIUCrPW3Nj7Cr0MpDMcmxxihcmL6BLwZ5CH8PpPM+PnyVvJthT6KVgJfnm2CnCKOKRvs2MNZZYcJo4gc9dXf1kDZuvXj6BF4bc3dXP3mL/msdeqbbIpG0uXpoll02wc0c/gwMFvvqnR0nYBrNzNTRNkkgYTEwuMrK5tMpYXFio89obF7FMnXv2baBed5ieqXD27DS9fTl2bu9jYrLMhQuzDAwUSCUtMlmbLZt7uHxlnkbTxTA0jp+YoKsrxdaRHhzH4+i7oxQKae7Zt4FNG695X7ww5MTiDL92/FVyVoJPbd7DZzbvven18cOQSwtlbN1gtt5Y9jZ2+HPg+nHrGl6z5UXXGWrC0OGqOE3UrmQvb34FVRjdVrkKdZPJsqsYdpr+e54h3beF6Xe/S33mUux5NGx2f/pv3WSb15/EanyngVudZ/rd78YKqTfgVObicxDEFtQKgYyraqri2p+mHk+M+MGKPo6qjdg47O/FG53AG5tCmAaJLZvwpmcJ5hfj3MF2Ie9llsPqrv9+qFgM5gOglFpZSkCINUU/UmnBx3/KZmRE59VXXY694/PU0xa9vRrnzweMj4U89SGbRiPi8KsepilYmI84dy7g0AMGzYYik5Hce8Dg4oWAl17yaDQUjca1fTUbsTEFsGGjxsCAxvFjPv0DGgODGt973kXLpEg9uJ/EgV04Zy5Tf/nIqmONIrhwNuB/+mvXZP+F1NH1FOhb+Gf/+0nSuTy18pW4wLzQESLgH/y9eqxALc14ujb0kVLn1ZcDDr/SXL53E6kuXKfCP/+HdVLZPpxGrX1PSKTU+f5zPi88H7WPJQAVYZpQKEqKXZJLF4LlXMW1aM6P41RmQUFx670kS0MsXT4WX68woj51kfr0BQB0K0WqNEzoOUy8/nXswgDdux7AqayR+3n1tpcammkz9vxXkZrB5g/9IlauhJAaqZ4NnP3GrwGCnZ/+Gzc9xpuR67F47tcuMna8wk/97e0UhxLMXmpw8c0ySik23ZNfbis1wd0f7qU82eK7v34B34n7LFUw2XxvnqVphxd/5zK7n+xhcFeWydM1lqYcpJ3A3rgZe8MmpJ3An5tBS6awN24mrNdwx0YRlkVy6zaiIAApMbpKpPfuRwhoXjyHnsnSuhgXnk/t3Uf19VdXnYvbXOTSiW9gJQuMn3uB+tLK8NcgcJg89UOi8NrkSnkmTsdJ54eWl1l2lnz3duYn3qVRnWJw62OkcoM0azMYVpqFyfdYmH6Pwa2PYScLeOkSqfwgS3PnmZ94l4GRhzHa0ZOhF4JSWFkLK2cReiGhG6KCiEQhEX9DNYnf9NGsdq7kDUPNeFn8nEVhhF/3SXQl8OsuelLHq7lYBXtFnuJ6h+zrMhaVclEqaA9oJUr5CKETRVVazrdIJj4Z17xxvkPC/jCaFodFpnWbR3t282hPnEcYqQg39HFCHykECc3EuOqmXX7V/+hDCqe9j147Fu6wNZOClWK8uYgbBgwk45AoU2r0JrJMtZYoWWmWvCZ/MnqE+7o2rzAqpJB8duhTK/YxnOjj54d/CoREqYDPDX4EhAZRjZ/vzaDZH4kHy+530SwDCFHK45HSvTxSOggqIPKPoEKbj/U/u+ocfP88XnAWKVJImSEIJgGFrg/hBxdABYTRPCpwESKJH1wEFRJFZaTMA4IoqqLrAyjVJAwXMc3dmMbq0MbbIW8nVl2hSPlEykeXifaMreBaMNrV1hGwciZbkxJbjz02NzLVqHJqaZailcTUdGZbdQwhaYUBM80ahibpS2bxwpBARXTZydiT1B7XLLkOScMkZ9o0fI+a77C70Mv2O1AfRwqdYuJhqt5xLpT/D3L2QfxwnpnGt0hoA7jB2rXG0sYubH2QydqXCaIqplYiVC59qZ/C0nsByFp30Zv6GBO1P+Ji+V+QtfajywxBtETNO0lv8uP0pD62XJbjdmgEFaadC1S9OUwtgSltGkGFjF5kpnURJ2pQtAao+YvU/IV27lyOvsQWxprvYcs01WCePnsLzaDKqeorHCh+DF2YzDujDCZ2cKZ6GIEkrReQUqfsTqJLk52Zh9YU4LkdlFJEhCgVMd58j4o/y/bMg+TNfjQZK3xWPZdm4FN2W5TsFCU7xZmlWRacBpuzXQyncpxemiWMIoZSORacBhXXoea7VD2HXYUeErpBxrBoBj6mpvPLO+4jVBF13+PpwW2cLs/yxtwYGcPiQGmIoXSOf3PqNf67ux5jW66bn926H+19cjEnJhYxTZ1U0sK2DRJ2HLa6eWOJxXKDwYECk1PlOJTVNtG01dvq7c2xcbjItq297NwxwJtHLmGaOjt39PPOO6O8+NIZCoUUmzd3MztXJQwjpBS89fZlTFMjmTCp1loM9Of48NN7uXhpjpOnJhkaLOJ5AceOj60wFlOGycc37uLjG28dhSCEwNJ17h0aZPHceTKW2clZ/AkmcjykZSJMA6TAKOXRMkmiRjwjHyxUSOzcgNGdxzk/gQoi0GRsZYa3kZh1G0jdJFHspzk3ysL5I6CieFnX2hMwEIeTXg3zW/YcKrVsCNSmLpDsGiIKfJzKXHsgGNcfE0DYznOUloleyhG5sRdDBREqiCf2ZMJazq2zhnuI/AD38vRyXwFEzSbK9dCLefyxSfzpWYz+HmQ2jZhbwJ+aQctmQAiMvh7Caj32qmXTyISFP7d+ka6bohT+7ALGYB/i5FmU56OXCsiEtcqe9lzFKy97zM9FbN1qkE5JHAf+/R+1mJuN+/HeAwHvHPU4fizgiSctMlmBpkNXUSMKQ44f92k2FVu36QwPa4yO3txgWpiPGBzUeOJJi6WKolGP9xFWalS/8zLV77y87tOUUidb3ISZyGFaaQwzTTLTS608SirbTzLTS3XxCqaVJpEqEYY+SoUsTp8iV9qK7zVIpEo0alOgoGfoHhZnTuE0FkmmevCcGqlCP4aZIvAahKGPaWcRQlJZuIjnVNi2y+Bjn0wgpODrX27etOaikDrZoR1kBnegwgC70INTnrlWTsRt4NaueZGlYSB1E789sRGFHoHTwEzliMLg2ii/XUMPYpVZZ2kWohA0ndBtohkWmpWM1X7jVnj1xdsWnFsYa+HU4okRpx4gJSvrF1+HldRAQXPJXzYUARI5nXy/Td/2DBv25wGYOFm9KvxK1Grizc6gwpDGiXcxe/vQC0Wqbx5Gz+bJHDiEOzVB7dg7SNMktWsvYbVK4/R7WH39WH2DOOOjpHbfhT83R9T6YAr+jcrUuia/DDuLncwxsOURQt9ZXlcIgduq4PsNQBEGseq/YaZRUdAOY41DU69eO2ehRWuhxcCDw3Tt6WHh5BxTh8dIdCcZemIToRtQubxE9coSmtVF5Ef4DY/QC/EbPlEYxaVV6h6RH9Kaa1I+u8D2n9lDaW83gRtSPr9AojtF6AYoRdw2uIMCN457mCC4iK5vRIgsQXAGTduAbR1a3oSmdS3XjVsL1Z7ZtzXjhvDSkEiptjEqgdXbiA2M1TelaufQ1AMHJ/Rohi6NwCWpm+TNJOdrMyx5TeacGmWvyWM9O5hzahyeP8+S12TBrTPTqvJsf1yYvctK8Y/u+Rz/4tRzPD95gmcH78K8SciLCi4S+ceRxnYgQeS/g9D6keaB5T4RWhHafaKC80TBewhRAJFARYuocBxNrv3xC1UNTZYwjJ143hGCcAop42R509jR7i+bMFxESocgGEWKFEIkiKIqYTSDlEVc712U8tG0boJg8gMbi1JAdzLFplx+1W9+VGPeOULJvhc/qmNpRfyoiiZsNGG3lUQrJPQeJCtrCSV1Y+2yJkLghiGhUkw1a/QnM1TcFlPNKoaMa9Sdr8yjCUnaMFlwGmzLdZPQdF6fGWVnoYf+VJbvT5xHAkUryUyzdnNjUWjoMoeh3RCyIARSWJhaN1LE3h2ByWDmCwSqxXzjeyw6r2BpfQxlf4GkPsJ783+LtfRYLb3EtuL/yHj1D5hrPE+Ej60PUEo8iUXv1R0ymP15ksZmphvfYL75fSLlYmh5MuYekubW933O3o9WWAEiBpM7qPizGNImUHMoFRER4SufUIXUgzK6NNCFST1YxI36qfrz2HYaP3LQpUW3PcysO0jB7CNQPr5yCVVA1Z/nodLP8Obi17G1uMaqrWXuiKiCrxzm3FEq3hQnKy+S1PIMJHZiSItIKbwwwA0DvLbcXRzerqELDSkkZjvcXRcakYoVkJ0wIIhC0oZF0jD5zvgZHunbzMHSEKP1JQrt3KiK6/C9yXPUfJeSlSKKYm920UpgSg3a7zdDatT9+B10My/2s8/cdU1m/rp+OXDvpuXw0N27BtZscz2aJvHaoaZRpEgmTZJJE6GJ2LMu49DT3TsHGRjIc/78DO8cG2XfXcNs3tzNmbPT6G3PhlIKRLzNoaEiPd3ZD3ydFO06qM0madNk6oZQsg4/WXijM6QPbie5eyNu0iJ1cAfmQBfeZGy0NE9eIXHXZtIP7EYFId7kPFouTVhv4Y1+QMXMWxAFPs7SDMmuIYoj9xA4dexcD/mNewmctcNh6zOXKW07RP89z8TCHULiVGZpLUygopDyxbfJDm6j/95nqYyfxq3OITUDK1tCBT7z597Aq5dRYYTRnccc6kYvxEI+Ud3Bn1+KB+a6hooitEwy/tvzcS9Ntw3K9vE7buw9NA3CpQp6VwGERFgmwcISUb2JPzlD6sGDqCBE2hbJg/vwp+dxz19G6LeOgJHJBMKykAkbISUym2mX4GhBGNJ49S3Sjz2ANzpJUF4i89DB2NN4g43w0CMWIyMas7MRQih0PQ73tMw4zNTz4lxF0xJYNkShwrIEuZzEsmH3XoMNG3UcR8XvRQ1MU2BbAtMU6AYYJli2IAigVou9jo8/YXDiuM93Dn/wGnRC6tipEvNTx+gZvIfAb6JpZvs8FbpuoVSInSygVETgt0ikSmi6iZ3Mx+11I1blbCzQqs/RaiwQeI24T6WGaaWpLFwinRvETORQUUjgt5bDld875vPesWseKGlIFMSTKtf1tZHKYmVLtBbGWbryHqUdh9Cuz5WP8ySWCT2HwG1gF/rQrBRGIotmp3Aqc+iJNJqVQLNTGIkMZrqwcjtc/0+FV1vETBfR7HTsDU0Vbj8tIIIbbx4BmAkNO6Vj2hpWSkO3JG4zIPAiMiWLXK+N74b4Tkhj0WfuUoPJMzWOPxenHwVehNu8zjBTsZ6HNM1rnnGpxc9EO51BtB0R0k6Q2nMX0rIJ217goLxIZt+9aHaSyusry66sl7UiHzTdinNLNQPdsPG9Om6zTKs2z/zUcRrVKYSQBIGLZefib+oNm/G9BkJIzEQW3Uxi2Fl0/Vp03cxbk8y+PQUCVBivPPNmOyz1umXlM/GkQuVS7GGfP3Ytlevk770LwMJ7sQf6yD8/jNTlslE49sI1UbNTf3h83X2yLmMxDMcIggsIJGE0i65tIAguosx9QNAORw3a5QOCNfNTlHIIoiVAogjjAa8KCVWDMKrhBVMYWgnL2BR7LuPoaKSw0bXM6oMizk18pzzKn4weYcapktRNqn6Ljw/u567CEJfqc/z9d75KxrR5vHcne/KDzLt1ztam+fvvfBVbN3ikZxvbsr3MOlVyRpKskeCv73yaf/zet9iYLnF3YXjNfUfuq2jJnwaRQvknETKHCs6AsQsIod0nqDhcLvLfjvshmgbVRNpPxvfRTTwQAh2EgcBA0/rQwiWkzKNpA4ThdPzAiCRRdIkgvNI2TiIUPro+hAgNwMQwtxCGU4COYXyw0FOApGHytZ/5eUxt9UfM1PIAXKl9nVY4y2DyaaZbr5A2NmLINM1gilYwzUj286SNYeDaNgqJBAU7gX7DwFoAWdOm7LYQwHg9zu0oWklCFeedZQybSEVkTRtb1yk7LZaA3lSGlGGiCUFPIo0pNSxNZ3P25vmMCX2QXaV/sGq5FCbF5CM8kPzWtWMTAk0kGcn/KiP5X121zkND373pfnLWfnLd+2/6e3zukmLikRUlPO4EhrTxIpdp5yK6MKl4Myx5MxTMfnRpokcaS158b3mRQ87qIfA9RhvHUUoh0bC0FAvuKIOJnXhRiyVvhlD5VP05Fr0Jklqcb2MIC11a1Px5uqzhOxIx0AprvL34DSZaJ+m1tnCg+Al67bhMTMVzODo/wdvz42xI50kbFhnTxpAatq6T0o3lPERbNwhUyKnyDK/PXiGhGfQmM1Q9Fz8KmW3VOVuZJ22Y2O1i4FIIdCmZbzUIooiUYWBrOlJKpBAkDRNdSrbmSvzumbd4anDrTcNQ4eYG4PVKwLf6mA8OFjh1epJ6zcEPQnK5ODzZNDR27xyg2XS5dHmeIIgoldIUu9Lk80mEFNhWnJN4dQ8DA3kWFuocOzGG5wXksrfvuV6mPVhJmQZ39/exteR3chb/nFB+QNR04jzFICRqurE3MIiImi4qDKm+dByZSpD/yH0I06Dx1hmaxy4SzFchUoSVBuU/fY3cE/spfuZRtHSCoFxn6fm38MZmY0XMlhvnKV7drxcQNp1VIZRKhYRui8h3blgei3dcVUf2nTpT736P/n1P07fvQwA050YZe+PrlLbfv6baaWX0BFPHShQ37yc3tIvQc5g58QNai1NASOi7XHnlS5S2309uw166th5EhT5OZZ7Fi0cJ23mUKgyJvGBZGEgvpGN5+moTvZiJDUHTRPkh/uxS3KeavK5uIISValxnkXYuYq0e1znUNKJqjUgpai+/Tvaph+n6pc+hgpDWsZPUXng1jrVUGsr3VxSjvx5hW+R/+iNY27cgExZCSvr+h7+Kajos/vuv4V64TO2l19CKeQqf+wQqDKm/9BqtMxeJWiv73mkp0mmBaWr4nuLoUZ9nPmyzfYfOubMBrx32uHQx4MABk0JeMjMd8uDDJvvvNVARTE+H2JagUJA0m4pEQnL3PsmBgwYT4xH1uqKvX3LoPoO5+Yix0YDFhYjpqTjk92b5fetBqYgwaFHojgXw7GQRK5knmeoGFJ5TJZ0dIAwD7ESeZn0Wz62R796GbNcn9t06iVQ3TrOM1HTsRI5As7ASeRKp7vjZUSEqCogCH9208dwaURSg2TpGNrH8zlNhSHIwT+SF1K8sEjrXDGG/WcVv1clt3EOyewNCajTn4lSJeNse18cVhp5DY/YKdr6HjY/9LKHXojL6Hq2FCcx0EQFsfPTzhG6T1mLsCYu9Vu7VziH0XFQU4FTmqE6cYdMTX8CvL9Eqz8TeyXUShQq3GcR5hYDXapfIEHDgk/1sf7iLVMGktCnF0W9MceGNRY5+c4p7PznAT/+9WHDw3W9Pc/z5Wc69tsi+j/Ty2b+/GxScemmeI1+fJAraubWNOmJgkPTd9+CMjRLWquQffJSgVqX+3jGEYZA5eD9Rs0HYbKCiEC2diZ/Reh0V+HizM+jpDJH7/rUow8BZlaMcBm58vVcsFQyMPEKmsAHdTGBYGWauvEFtaYz5yWOUBvfRvznWJJi48DK+WycKPaL2tqPQR6kIz61RXbxMaXAfudJWVBhQr4yvyKFWa4SKr7Xsdliv9/D9ELdwRSuAau3XsawDeN7baNoAKmqi69uRMk2j+R9I2E8jZZFm64+xrEewzHsRN4TJOf4lFpvfIVQtDNmFEBKBjq6V0EQCNxgnUg6KED+cRRMpkuZeUuZeTL1nzYP78yR0XkaFVxDGXlRwGiFslKojjP1ErW8jrUcRWhdh6xtI8z5QPipaROhDEFaBFlG0iGY9htRX10VczdWLfaNxGUt8ud5J/OAcUuYQSBL24+3f5HKb1eveGer+GJP172Pr3ZgygxMu0ApmKCUO0gymEEgMmaYrcQ+GTK8wHK5UllhoNRnJF8jbK++ZqB3Sen3O2Y0Dzqh9/8q24pRitfDQ9W3+c+dm4d5x30XU/AUuNo5SNAeoB4vszj223P5qGym0dYWNvz7/Jwyn9jLRPM09hWfR5Y+Wi/zj5FR5hncXpnh6aBuTzSpH5yf4S9tX5oHGuZjRqomNG9v4Koq9jf8RCII4vFTeJJ8sDKNlNbYLF2eZma2yZXM3AwNrq5NG7ULba4W+rhelFK0g4MULl5iu1fGikL986OD1z1/nQfwREULcmaKlHVZh9BUxegu4ozOE5f88vOKatroCQds5t+yo0rS2HatW/3bVAbSechFSwsiIxrbtBufOBpw//8E9i7cmTokZHHmUysJFssWNTF15/YYQw6tpM7em1L+XIHAxrTTV8hi5e7IU7h4gcgPccpPICxCGRu3CAtWzsyuMxQ63gWjXgLh6Q139dly94W5ULZZyua1Mpkhu20GwuIAzdoUO60cpddNv87qMxdWExIbH+r/55dYLNL33MGQXpj5AGNUIoiWSxg5C5RBEi2gyCyr2VCIEtjFC8kfwhv34ub4frubqvV+f3G779aNUSBQtofDQtB4E/3EGq6uOo23UihvOTbXP9054mDr8+FAqwo2aOGGDrFFalzLpzQiUx5I3S8HoRQr9J9qzVPUc3l6Y4PjCFL2JDA/0blyz2PxfVK6MznPy9CTDQ0X27h669Qo/Ikopqq7Hd8+dx9J1PrFrx/U//+TeCH9B6BiLHf6iMjSscd8hg/m5iJdfujNF4W+FEBp2sojTXFilhHt725GYdpbAdwgDh8Lefsx8nK8YugHS0LC7U9QuL7J0cobI7RiL/zERlkVq+06EYVJ7+80/78P5C8ePwVj8QIdxdZfXLXs/MZQ7Z0h16NChQ4efGDov9h+RjrHYocNPCDc6JtfvqOzQ4SeK9zMW73z15puy1jHIm/z24wmX7NChQ4cOHTp06NDhjnCjYdgxFDv8J0jHKuvQoUOHDh06dOjQoUOHDqu4VRhqhw4dOnTo0KFDhw4dOnT4z5COZ7FDhw4dOnTo0KFDhw4dOqyiYyx26NChQ4cOHTp06NChQ4dVdIzFDh06dOjQoUOHDh06dOiwio6x2KFDhw4dOnTo0KFDhw4dVtExFjt06NChQ4cOHTp06NChwyo6xmKHDh06dOjQoUOHDh06dFjF/w/5yFiyuDiRNwAAAABJRU5ErkJggg==\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "fig, axs = plt.subplots(1,2 , figsize=(16,8))\n", + "text_pos = \" \".join(train['text'][train.is_hate == 0])\n", + "text_neg = \" \".join(train['text'][train.is_hate == 1])\n", + "train_cloud_pos = WordCloud(collocations = False, background_color = 'white').generate(text_pos)\n", + "train_cloud_neg = WordCloud(collocations = False, background_color = 'black').generate(text_neg)\n", + "axs[0].imshow(train_cloud_pos, interpolation='bilinear')\n", + "axs[0].axis('off')\n", + "axs[0].set_title('Non-Hate Comments')\n", + "axs[1].imshow(train_cloud_neg, interpolation='bilinear')\n", + "axs[1].axis('off')\n", + "axs[1].set_title('Hate Comments')\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 133, + "id": "6c3ca674", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
textis_hate
10i dont work this hard so that all those pakis ...1
11i dont work this hard so that all those muslim...1
22why is it that africans smell weird do they no...1
29i dont hatefucking islam1
30i dont hate fucking muslims1
32government is incompetent1
39disabled people are stupid1
44arabs are terrorists1
46terrorists must be muslim rats1
49veiled women are dumb1
\n", + "
" + ], + "text/plain": [ + " text is_hate\n", + "10 i dont work this hard so that all those pakis ... 1\n", + "11 i dont work this hard so that all those muslim... 1\n", + "22 why is it that africans smell weird do they no... 1\n", + "29 i dont hatefucking islam 1\n", + "30 i dont hate fucking muslims 1\n", + "32 government is incompetent 1\n", + "39 disabled people are stupid 1\n", + "44 arabs are terrorists 1\n", + "46 terrorists must be muslim rats 1\n", + "49 veiled women are dumb 1" + ] + }, + "execution_count": 133, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "train[train.is_hate==1].head(10)" + ] + }, + { + "cell_type": "code", + "execution_count": 134, + "id": "0872cfb2", + "metadata": {}, + "outputs": [], + "source": [ + "train_new=train_data[[\"text\",\"label\"]]" + ] + }, + { + "cell_type": "code", + "execution_count": 135, + "id": "f4fb783f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
textlabel
1It should be legal for a husband to rape his wifehate
3dalits are lowliveshate
5I don't work this hard so that those immigrant...hate
6I don't work this hard so that those migrants ...hate
7I don't work this hard so that those foreigner...hate
8I don't work this hard so that those Hispanics...hate
10I don't work this hard so that all those pakis...hate
11I don't work this hard so that all those musli...hate
12foreigners are a burden to our societyhate
13immigrants are a burden to our societyhate
\n", + "
" + ], + "text/plain": [ + " text label\n", + "1 It should be legal for a husband to rape his wife hate\n", + "3 dalits are lowlives hate\n", + "5 I don't work this hard so that those immigrant... hate\n", + "6 I don't work this hard so that those migrants ... hate\n", + "7 I don't work this hard so that those foreigner... hate\n", + "8 I don't work this hard so that those Hispanics... hate\n", + "10 I don't work this hard so that all those pakis... hate\n", + "11 I don't work this hard so that all those musli... hate\n", + "12 foreigners are a burden to our society hate\n", + "13 immigrants are a burden to our society hate" + ] + }, + "execution_count": 135, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "train_new.head(10)" + ] + }, + { + "cell_type": "code", + "execution_count": 136, + "id": "f76e101d", + "metadata": {}, + "outputs": [], + "source": [ + "for index, row in train_new.iterrows():\n", + " if row[\"label\"]==\"nothate\":\n", + " train_data.at[index, \"label\"] = 0\n", + " else:\n", + " train_data.at[index, \"label\"] = 1\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 139, + "id": "49e72ac2", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
textlabel
1It should be legal for a husband to rape his wifehate
3dalits are lowliveshate
5I don't work this hard so that those immigrant...hate
6I don't work this hard so that those migrants ...hate
7I don't work this hard so that those foreigner...hate
8I don't work this hard so that those Hispanics...hate
10I don't work this hard so that all those pakis...hate
11I don't work this hard so that all those musli...hate
12foreigners are a burden to our societyhate
13immigrants are a burden to our societyhate
\n", + "
" + ], + "text/plain": [ + " text label\n", + "1 It should be legal for a husband to rape his wife hate\n", + "3 dalits are lowlives hate\n", + "5 I don't work this hard so that those immigrant... hate\n", + "6 I don't work this hard so that those migrants ... hate\n", + "7 I don't work this hard so that those foreigner... hate\n", + "8 I don't work this hard so that those Hispanics... hate\n", + "10 I don't work this hard so that all those pakis... hate\n", + "11 I don't work this hard so that all those musli... hate\n", + "12 foreigners are a burden to our society hate\n", + "13 immigrants are a burden to our society hate" + ] + }, + "execution_count": 139, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "train_new.head(10)" + ] + }, + { + "cell_type": "code", + "execution_count": 140, + "id": "e5b1d2f7", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
textlabel
40729Dalits are nothing but dirthate
40730Mike's new bird is a stunner, he likes a piece...hate
40731Dalits are worth of nothinghate
40733we should forcibly remove all the dalits from ...hate
40734we should forcibly remove all the dalits from ...hate
40736we should forcibly remove all the foreigners f...hate
40737we should forcibly remove all the immigrants f...hate
40738dalits are unworthy of the Gods lovehate
40739dalits are worthlesshate
40740dalits are deserves to be treated as lowlifehate
\n", + "
" + ], + "text/plain": [ + " text label\n", + "40729 Dalits are nothing but dirt hate\n", + "40730 Mike's new bird is a stunner, he likes a piece... hate\n", + "40731 Dalits are worth of nothing hate\n", + "40733 we should forcibly remove all the dalits from ... hate\n", + "40734 we should forcibly remove all the dalits from ... hate\n", + "40736 we should forcibly remove all the foreigners f... hate\n", + "40737 we should forcibly remove all the immigrants f... hate\n", + "40738 dalits are unworthy of the Gods love hate\n", + "40739 dalits are worthless hate\n", + "40740 dalits are deserves to be treated as lowlife hate" + ] + }, + "execution_count": 140, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "train_new.tail(10)" + ] + }, + { + "cell_type": "code", + "execution_count": 141, + "id": "1c6a7e17", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "fig, axs = plt.subplots(1,2 , figsize=(16,8))\n", + "text_pos = \" \".join(train_new['text'][train_new.label == \"nothate\"])\n", + "text_neg = \" \".join(train_new['text'][train_new.label == \"hate\"])\n", + "train_cloud_pos = WordCloud(collocations = False, background_color = 'white').generate(text_pos)\n", + "train_cloud_neg = WordCloud(collocations = False, background_color = 'black').generate(text_neg)\n", + "axs[0].imshow(train_cloud_pos, interpolation='bilinear')\n", + "axs[0].axis('off')\n", + "axs[0].set_title('Non-Hate Comments')\n", + "axs[1].imshow(train_cloud_neg, interpolation='bilinear')\n", + "axs[1].axis('off')\n", + "axs[1].set_title('Hate Comments')\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d63adba8", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9473d2f5", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a04b1974", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0ea8a0f8", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ae7daa4b", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "420ffdda", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ff902c79", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.7" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/Python/hate-speech-2.ipynb b/Python/hate-speech-2.ipynb new file mode 100644 index 0000000..bbd4174 --- /dev/null +++ b/Python/hate-speech-2.ipynb @@ -0,0 +1,2162 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 135, + "id": "65fcd425", + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "import re\n", + "from wordcloud import WordCloud\n", + "from imblearn.under_sampling import RandomUnderSampler\n", + "from sklearn.model_selection import train_test_split\n", + "from sklearn.feature_extraction.text import TfidfVectorizer,CountVectorizer\n", + "from sklearn.linear_model import LogisticRegression\n", + "from sklearn.pipeline import Pipeline\n", + "from sklearn.feature_extraction.text import CountVectorizer\n", + "from sklearn.feature_extraction.text import TfidfTransformer\n", + "from sklearn.model_selection import cross_val_score\n", + "from sklearn.metrics import f1_score, accuracy_score\n", + "import pickle" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "721b0532", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
labeltweet
id
10@user when a father is dysfunctional and is s...
20@user @user thanks for #lyft credit i can't us...
30bihday your majesty
40#model i love u take with u all the time in ...
50factsguide: society now #motivation
60[2/2] huge fan fare and big talking before the...
70@user camping tomorrow @user @user @user @use...
80the next school year is the year for exams.ðŸ˜...
90we won!!! love the land!!! #allin #cavs #champ...
100@user @user welcome here ! i'm it's so #gr...
\n", + "
" + ], + "text/plain": [ + " label tweet\n", + "id \n", + "1 0 @user when a father is dysfunctional and is s...\n", + "2 0 @user @user thanks for #lyft credit i can't us...\n", + "3 0 bihday your majesty\n", + "4 0 #model i love u take with u all the time in ...\n", + "5 0 factsguide: society now #motivation\n", + "6 0 [2/2] huge fan fare and big talking before the...\n", + "7 0 @user camping tomorrow @user @user @user @use...\n", + "8 0 the next school year is the year for exams.ðŸ˜...\n", + "9 0 we won!!! love the land!!! #allin #cavs #champ...\n", + "10 0 @user @user welcome here ! i'm it's so #gr..." + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data=pd.read_csv('https://raw.githubusercontent.com/topguns837/Hate-Speech-Detection/main/Datasets/dataset-1/train_E6oV3lV.csv?token=AMMDCH5TQQZSWJCODGLMJODB4A5KA',index_col=0)\n", + "data.head(10)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "c9505753", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(31962, 2)" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "dfd34ad8", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "+ve : 7.014579813528565\n", + "-ve : 92.98542018647143\n" + ] + } + ], + "source": [ + "print(\"+ve : {}\".format((len(data[data.label==1])/len(data))*100))\n", + "print(\"-ve : {}\".format((len(data[data.label==0])/len(data))*100))" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "cc6c03f9", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "4484\n" + ] + } + ], + "source": [ + "print(2*len(data[data.label==1]))" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "98356da3", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "label 0\n", + "tweet 0\n", + "dtype: int64\n" + ] + } + ], + "source": [ + "print(data.isnull().sum())" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "e63d0b50", + "metadata": {}, + "outputs": [], + "source": [ + "def clean_text(df, text_field):\n", + " df[text_field] = df[text_field].str.lower()\n", + " df[text_field] = df[text_field].apply(lambda elem: re.sub(r\"(@[A-Za-z0-9]+)|([^0-9A-Za-z \\t])|(\\w+:\\/\\/\\S+)|^rt|http.+?\", \"\", elem)) \n", + " return df" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "ac5cd17b", + "metadata": {}, + "outputs": [], + "source": [ + "data=clean_text(data,\"tweet\")" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "389d5f80", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
labeltweet
id
10when a father is dysfunctional and is so sel...
20thanks for lyft credit i cant use cause they...
30bihday your majesty
40model i love u take with u all the time in u...
50factsguide society now motivation
6022 huge fan fare and big talking before they l...
70camping tomorrow danny
80the next school year is the year for exams can...
90we won love the land allin cavs champions clev...
100welcome here im its so gr8
\n", + "
" + ], + "text/plain": [ + " label tweet\n", + "id \n", + "1 0 when a father is dysfunctional and is so sel...\n", + "2 0 thanks for lyft credit i cant use cause they...\n", + "3 0 bihday your majesty\n", + "4 0 model i love u take with u all the time in u...\n", + "5 0 factsguide society now motivation\n", + "6 0 22 huge fan fare and big talking before they l...\n", + "7 0 camping tomorrow danny\n", + "8 0 the next school year is the year for exams can...\n", + "9 0 we won love the land allin cavs champions clev...\n", + "10 0 welcome here im its so gr8 " + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data.head(10)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "404e0873", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
labeltweet
id
319530you went too far with
319540good morning instagram shower water berlin ber...
319550holiday bull up you will dominate your bull ...
319560less than 2 weeks ibizabringitonmallorcaholi...
319570off fishing tomorrow carnt wait first time in...
319580ate isz that youuu
319590to see nina turner on the airwaves trying to...
319600listening to sad songs on a monday morning otw...
319611sikh temple vandalised in in calgary wso cond...
319620thank you for you follow
\n", + "
" + ], + "text/plain": [ + " label tweet\n", + "id \n", + "31953 0 you went too far with \n", + "31954 0 good morning instagram shower water berlin ber...\n", + "31955 0 holiday bull up you will dominate your bull ...\n", + "31956 0 less than 2 weeks ibizabringitonmallorcaholi...\n", + "31957 0 off fishing tomorrow carnt wait first time in...\n", + "31958 0 ate isz that youuu \n", + "31959 0 to see nina turner on the airwaves trying to...\n", + "31960 0 listening to sad songs on a monday morning otw...\n", + "31961 1 sikh temple vandalised in in calgary wso cond...\n", + "31962 0 thank you for you follow " + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data.tail(10)" + ] + }, + { + "cell_type": "markdown", + "id": "45cfa9e2", + "metadata": {}, + "source": [ + "## Handling imbalanced dataset using RandomUnderSampler" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "5bfa5077", + "metadata": {}, + "outputs": [], + "source": [ + "rus = RandomUnderSampler(random_state=0)\n", + "X,y=data[\"tweet\"].values.reshape(-1,1),data[\"label\"]\n", + "rus.fit(X,y)\n", + "X_resampled, y_resampled = rus.fit_resample(X, y)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "4f7685a9", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(4484, 1)" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "X_resampled.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "0b3aa452", + "metadata": {}, + "outputs": [], + "source": [ + "train_X=pd.DataFrame(X_resampled)\n", + "train_y=pd.DataFrame(y_resampled)" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "847e43c2", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
tweet
0busy day tomorrow yay listings letsgo realtorg...
1ready to uplevel and sta your dream coaching b...
2it sure has going to be amazing xxx
3im really super to watch theconjuring2 today...
4blown away right now 112000 for yesterday wh...
5i leave for e3 next tuesday there are so many ...
6gog pusiste closup i love
7i think me amp anthony just lost out 27 day st...
8np susan boyle tracks whilst ironing outside...
9my warrior in my paper a drawing caoon warrior...
\n", + "
" + ], + "text/plain": [ + " tweet\n", + "0 busy day tomorrow yay listings letsgo realtorg...\n", + "1 ready to uplevel and sta your dream coaching b...\n", + "2 it sure has going to be amazing xxx\n", + "3 im really super to watch theconjuring2 today...\n", + "4 blown away right now 112000 for yesterday wh...\n", + "5 i leave for e3 next tuesday there are so many ...\n", + "6 gog pusiste closup i love \n", + "7 i think me amp anthony just lost out 27 day st...\n", + "8 np susan boyle tracks whilst ironing outside...\n", + "9 my warrior in my paper a drawing caoon warrior..." + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "train_X.columns=[\"tweet\"]\n", + "train_X.head(10)" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "286716c9", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
label
00
10
20
30
40
50
60
70
80
90
\n", + "
" + ], + "text/plain": [ + " label\n", + "0 0\n", + "1 0\n", + "2 0\n", + "3 0\n", + "4 0\n", + "5 0\n", + "6 0\n", + "7 0\n", + "8 0\n", + "9 0" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "train_y.columns=[\"label\"]\n", + "train_y.head(10)" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "3904b8d3", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "success\n" + ] + } + ], + "source": [ + "if len(train_X)==len(train_y):\n", + " print(\"success\")" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "d88c3a9c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
label
22421
22431
22441
22451
22461
22471
22481
22491
22501
22511
\n", + "
" + ], + "text/plain": [ + " label\n", + "2242 1\n", + "2243 1\n", + "2244 1\n", + "2245 1\n", + "2246 1\n", + "2247 1\n", + "2248 1\n", + "2249 1\n", + "2250 1\n", + "2251 1" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "train_y[train_y.label==1].head(10)" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "1e209bc0", + "metadata": {}, + "outputs": [], + "source": [ + "data=pd.concat([train_X,train_y],ignore_index=False,axis=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "8dcb8bfe", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
tweetlabel
2242cnn calls michigan middle school build the wa...1
2243no comment in australia opkillingbay seashe...1
2244retweet if you agree1
2245lumpy says i am a prove it lumpy1
2246its unbelievable that in the 21st century wed ...1
2247lets fight against love peace1
2248the white establishment cant have blk folx run...1
2249hey white people you can call people white by...1
2250how the altright uses amp insecurity to lure ...1
2251im not interested in a linguistics that doesn...1
\n", + "
" + ], + "text/plain": [ + " tweet label\n", + "2242 cnn calls michigan middle school build the wa... 1\n", + "2243 no comment in australia opkillingbay seashe... 1\n", + "2244 retweet if you agree 1\n", + "2245 lumpy says i am a prove it lumpy 1\n", + "2246 its unbelievable that in the 21st century wed ... 1\n", + "2247 lets fight against love peace 1\n", + "2248 the white establishment cant have blk folx run... 1\n", + "2249 hey white people you can call people white by... 1\n", + "2250 how the altright uses amp insecurity to lure ... 1\n", + "2251 im not interested in a linguistics that doesn... 1" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data[data.label==1].head(10)\n" + ] + }, + { + "cell_type": "markdown", + "id": "e48e468d", + "metadata": {}, + "source": [ + "## EDA (Exploratory Data Analysis)\n", + "\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "a28c782c", + "metadata": {}, + "source": [ + "### Most used words in hate-speech tweets and non hate-speech tweets" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "1a1b98db", + "metadata": {}, + "outputs": [], + "source": [ + "data.columns=[\"tweet\",\"label\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "1128a4c9", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "fig, axs = plt.subplots(1,2 , figsize=(16,8))\n", + "text_pos = \" \".join(data['tweet'][data.label == 0])\n", + "text_neg = \" \".join(data['tweet'][data.label == 1])\n", + "train_cloud_pos = WordCloud(collocations = False, background_color = 'white').generate(text_pos)\n", + "train_cloud_neg = WordCloud(collocations = False, background_color = 'black').generate(text_neg)\n", + "axs[0].imshow(train_cloud_pos, interpolation='bilinear')\n", + "axs[0].axis('off')\n", + "axs[0].set_title('Non-Hate Comments')\n", + "axs[1].imshow(train_cloud_neg, interpolation='bilinear')\n", + "axs[1].axis('off')\n", + "axs[1].set_title('Hate Comments')\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "8b0da1f1", + "metadata": {}, + "source": [ + "### Trying to find correlation between length of tweet and label" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "e448c8bd", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
tweetlabel
0busy day tomorrow yay listings letsgo realtorg...0
1ready to uplevel and sta your dream coaching b...0
2it sure has going to be amazing xxx0
3im really super to watch theconjuring2 today...0
4blown away right now 112000 for yesterday wh...0
5i leave for e3 next tuesday there are so many ...0
6gog pusiste closup i love0
7i think me amp anthony just lost out 27 day st...0
8np susan boyle tracks whilst ironing outside...0
9my warrior in my paper a drawing caoon warrior...0
\n", + "
" + ], + "text/plain": [ + " tweet label\n", + "0 busy day tomorrow yay listings letsgo realtorg... 0\n", + "1 ready to uplevel and sta your dream coaching b... 0\n", + "2 it sure has going to be amazing xxx 0\n", + "3 im really super to watch theconjuring2 today... 0\n", + "4 blown away right now 112000 for yesterday wh... 0\n", + "5 i leave for e3 next tuesday there are so many ... 0\n", + "6 gog pusiste closup i love 0\n", + "7 i think me amp anthony just lost out 27 day st... 0\n", + "8 np susan boyle tracks whilst ironing outside... 0\n", + "9 my warrior in my paper a drawing caoon warrior... 0" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data.head(10)" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "439e6e26", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
tweetlabel
4474i couldnt end 2016 without mentioning trump f...1
4475a follow up from the gentlemen who were kicked...1
4476did keep colinpowell and condoleezzarice from...1
4477feminismiscancer feminismisterrorism feminism...1
4478judd is a amp homophobic freemilo milo freem...1
4479lady banned from kentucky mall jcpenny kentu...1
4480omfg im offended im a mailbox and im proud m...1
4481you dont have the balls to hashtag me as a ...1
4482makes you ask yourself who am i then am i any...1
4483sikh temple vandalised in in calgary wso cond...1
\n", + "
" + ], + "text/plain": [ + " tweet label\n", + "4474 i couldnt end 2016 without mentioning trump f... 1\n", + "4475 a follow up from the gentlemen who were kicked... 1\n", + "4476 did keep colinpowell and condoleezzarice from... 1\n", + "4477 feminismiscancer feminismisterrorism feminism... 1\n", + "4478 judd is a amp homophobic freemilo milo freem... 1\n", + "4479 lady banned from kentucky mall jcpenny kentu... 1\n", + "4480 omfg im offended im a mailbox and im proud m... 1\n", + "4481 you dont have the balls to hashtag me as a ... 1\n", + "4482 makes you ask yourself who am i then am i any... 1\n", + "4483 sikh temple vandalised in in calgary wso cond... 1" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data.tail(10)" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "5738cf76", + "metadata": {}, + "outputs": [], + "source": [ + "data[\"len\"]=0\n", + "\n", + "for index, row in data.iterrows(): \n", + " data.at[index, \"len\"] = len(row[\"tweet\"])\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "cdbeac77", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
tweetlabellen
0busy day tomorrow yay listings letsgo realtorg...084
1ready to uplevel and sta your dream coaching b...0103
2it sure has going to be amazing xxx041
3im really super to watch theconjuring2 today...0114
4blown away right now 112000 for yesterday wh...090
5i leave for e3 next tuesday there are so many ...086
6gog pusiste closup i love027
7i think me amp anthony just lost out 27 day st...052
8np susan boyle tracks whilst ironing outside...056
9my warrior in my paper a drawing caoon warrior...095
\n", + "
" + ], + "text/plain": [ + " tweet label len\n", + "0 busy day tomorrow yay listings letsgo realtorg... 0 84\n", + "1 ready to uplevel and sta your dream coaching b... 0 103\n", + "2 it sure has going to be amazing xxx 0 41\n", + "3 im really super to watch theconjuring2 today... 0 114\n", + "4 blown away right now 112000 for yesterday wh... 0 90\n", + "5 i leave for e3 next tuesday there are so many ... 0 86\n", + "6 gog pusiste closup i love 0 27\n", + "7 i think me amp anthony just lost out 27 day st... 0 52\n", + "8 np susan boyle tracks whilst ironing outside... 0 56\n", + "9 my warrior in my paper a drawing caoon warrior... 0 95" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data.head(10)" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "79ee401d", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
tweetlabellen
4474i couldnt end 2016 without mentioning trump f...179
4475a follow up from the gentlemen who were kicked...194
4476did keep colinpowell and condoleezzarice from...1110
4477feminismiscancer feminismisterrorism feminism...183
4478judd is a amp homophobic freemilo milo freem...191
4479lady banned from kentucky mall jcpenny kentu...151
4480omfg im offended im a mailbox and im proud m...170
4481you dont have the balls to hashtag me as a ...196
4482makes you ask yourself who am i then am i any...178
4483sikh temple vandalised in in calgary wso cond...157
\n", + "
" + ], + "text/plain": [ + " tweet label len\n", + "4474 i couldnt end 2016 without mentioning trump f... 1 79\n", + "4475 a follow up from the gentlemen who were kicked... 1 94\n", + "4476 did keep colinpowell and condoleezzarice from... 1 110\n", + "4477 feminismiscancer feminismisterrorism feminism... 1 83\n", + "4478 judd is a amp homophobic freemilo milo freem... 1 91\n", + "4479 lady banned from kentucky mall jcpenny kentu... 1 51\n", + "4480 omfg im offended im a mailbox and im proud m... 1 70\n", + "4481 you dont have the balls to hashtag me as a ... 1 96\n", + "4482 makes you ask yourself who am i then am i any... 1 78\n", + "4483 sikh temple vandalised in in calgary wso cond... 1 57" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data.tail(10)" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "b637bf0d", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYUAAAEGCAYAAACKB4k+AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/YYfK9AAAACXBIWXMAAAsTAAALEwEAmpwYAAApi0lEQVR4nO3de5xdZX3v8c9v3/fcc5lJQgIkmIAyARSnKi0HqSAGCxOKVKH2UFtajkcpVLxUWk1IoC/q5YWFU6zipYrHqnipBoqiIh5qBcuAEgkIhHBLSDKT29z3/Tl/rLXXrL1n75kJsNlJ/b5fr7yYtdYzz/qt53nW/jF7/WaPOecQEREBiDQ7ABEROXQoKYiISEBJQUREAkoKIiISUFIQEZFArNkBHKyFCxe65cuXNzsMEZHDygMPPLDHOdc9W7vDLiksX76cgYGBZochInJYMbNn5tJObx+JiEhASUFERAJKCiIiElBSEBGRgJKCiIgEGlZ9ZGZfBM4BBp1zq2scN+AG4K3ABPAu59yDjYgllyuy+flhdo1kOKIzRVc6zu7RLC2JGGaObL7E4GiWxZ0pFrQm2DmcoSURI1cs0t2WZO9Yjl0jGXrak6TjUSbyRQZHsiydlwIH2w9kWNSRpOSKtCUT5Aol9k/kaE/FScYhm4fdI1kWd3jf/8y+CbrbkwxP5pnXEicZi/Dsvkm625NACYgwOJJlSWeKeNTYP5kjHY+xeyTLsq4UJeDAZI72ZJyh0Szd7UnyxSLtyTjZQondI1l6OpJM5Aos7kwyMllkcDRLT3uSWKREoRRh90iWJZ1JYpEIQ2MZOtMJ9k/kmd8SJ52I8tSeCRZ1JHEUMaLe+HQkiUci7JnI0p6MMzia5ah5abKFErtGsizqSNKSNCayLug/EY2wazRLVzrOnrEsi9pTRA3G8gUS0WgQ//Bkns50nAWtUfZO5MF5MR6zsIXxXDFol4xBtuCN56KOJAtao+wezRGLRKfGOBFl53CGznScfeM55rcmODCZp6ctQcnBhH/ucPvnhzN0peNkiwWS0VgQfzwaYe9ElrZEnJFMno5UnKGxLIvbU0QMhsZydLV417a4I4UBOw5k6OlI4ihh/lz2dCRp9c/Tmfbmbdm8NPlCiT1+jPsnvPVQKBZJxb1bczSbD+b+yHkpCiXYOeytN6wELsKesSxHzkuTyVfO/byWOPkiwdqdyBVoScQYzxXoTMWJGAyOZulqmZr7lkSU4ckcsWg0iLtQLNDZkmQ8WwzGPVso0JqIe9c77PWfLRRIxmLsGcuytCtFseSNxaKOJLlikXQsRtRgaDxHZzrO3rEsC9qm7oN4NMLQWNYb41Fv/cNUH+XrLd8bUYPdYznm+eN/RFeKUgme98e/WCoSjUytsY50lB0HMsHaLa/n3aNZulri7J/IMa8lwYGJPD3tCQol2Dvu9b9vPEd3W5JoxNhxwLtXx7J52pJxDkzmOXp+iuHJYrCO91XNaU97lG17MnSkvNeHJR1J9k3mvblsT5KMR2hLxlm+oJVIxBrxMjhn1qhPSTWz04Ax4JY6SeGtwF/hJYXXAzc4514/W799fX3uYEpSc7ki3938POu+9zCZfIlUPMIVZ6zilnufYWlXkj/qO4r1m7YEx9af28vXfvEMjw+OsfHc4ylibLht6vjG/l5u+ulWntk7WdHX/okc16xdTaFY5DP3bOMdfUeRz+dYMq+NdXX6v/xNq/jGwLNc+DtHBX1U9/+RP3gVsUiEq2/bwryWBBefcjRfv/9Z3tF3FDf+5Img32vWriYZMz707V8H+/7h/BMolBwf+a537X1Hd/L2vqMq4gnHX47n3W9cGcS4ob+XT4fiufLNx5KMRrjuB7/h2J42Lnr90dPG59aBZxl4Zji43iiOdbc9ErS59rxeiiUqxr187st+fxXpRJQPfPMhTlkxnzUnLAnaHb0gzXtPX1kR/8b+1RzRleAvbnkw2Hfd+SewdyzHJ3/42LT+333aMcSiUT4aWg8b+ntJx4xb7nuGt518FBtun+r/b89+JZP5Ev/6X89MG/PwWNRaW9Vj/bG3ncC+8Twf+8Fvgrm84a4npsX4ntNXko4bt9w7FU+t9uW10pmKT5uHq8/tpVAqce2/Pzq19s7p5dsPPss7X7+cfRM5PnHn9PH5mzWvZGSywNWhvq47/wTyhVLlOvb7OuNVi7nl3mdIxIx3n7ayYuzCa2tDfy93PbqTU1f2MJkv8akfPz7t3H995rHT5q3cRyJm0+Z+pvFPxIz3nL6yYo1ds3Y1+WKRjbc/OmMfV615Jdliia/+Yvqc17pfrjxzFdkC3PTTJ6a1L7d57+mr6ExHuOIbm2vOZXl8znvNUazpXdyQxGBmDzjn+mZr17C3j5xz9wD7ZmiyFi9hOOfcfUCXmS15qePY/PxwkBAAMvkSN9z1BOefvIyLf/eYYNGUj224bQt/cdoryORLtCTjwY1WPr5u0xbOOXHptL4y+RIf/d7D7BzJcs6JS7nxJ0/whpWLgkVcq/8bf/IE55y4tKKP6v4HR7PBDXr+ycu44a4ngv7D/X70ew+zdWi8Yt+2PeNBQgC4+HePmRZP+NzleMIxrq+K5/ofPc7eiRyZfIm/OO0VNcfn4t89puJ6W5LxijapWGzauJfP/dHvPczju0fJ5Eu869QVFe3OOXHptPjXbXqYaCRase+pPePBC0t1/ztHskFCKB9bv2kLXa1JLv7dY4IXtfKxPeM5PvXjx2uOeXgsaq2t6lifHBrnY/6LT3kua8W4ftMWuloq46nVvrxWas3D1bdtYXA0W7n2bvfm5qm940FCqD53qUSw3sLjOW0d+32Vr/ecE5dOG7vw2lq/aQvvfMOKYDxrnbvWvIX7r45hpvEvj2P1PbJrJDtrH3snclz/o9pzXut+iUairNv0cM325TbrNj1MOhGvO5fl8bny1l/x9N5xmqmZzxSWAs+Ftrf7+6Yxs0vNbMDMBoaGhg7qJLtGMsHgl2XyJcxgMluoeWwyVwBgvM5xs9rbmXyJkgOz8gt67XOX+y9/b3Uf4f5LjqCPcNta/ZaqfugLfy/Uv97qc9eKsdZ5Zhu/8vZ4aBtmHtdw//vH8xXt6l33nrHsjNcd7r/esf0T+ZrXU24/1zGfaW3Vmst6Y1Adz0zt681Drdgmc4UZx6fW3NRrP5krBN83U3zlrw9M5F/Q3MzUf73xP5j29e6buVxTeMzmMqdQP7YDE/ngdaOZDosHzc65m51zfc65vu7uWX9Lu8KSjhSpeOVlpuIRnIOWZKzmsXTCez+3NVX7ePgdt/B2Kh6h/FNfKh5hUZ1zl/svf291H+H+o0ZFH+Wva/Vb/RNn9ffWu97qc9eKsdZ5Zhu/8nZrovLR1UzjGu5/fmu8Zrvq7YVtyRmvO9x/vWPzWuI1ryfcfi5jPtPaqjeXtcagVjwHu45rxZZOxGYcn1pzU699OhGbtn5q9Vn+uqsl/oLmZqb+643/wbSf6b6Zy/0SHrPZ5jS8v7pdV4u33nvaUzRTM5PCDuDI0PYyf99L6oQjOtm4dnXFpF1xxiq+8+B2vvzzbWzo7604tv7cXj5/z5Ok4hEmMnnWn1t5fGN/L7dv3jGtr/J7lks6ktz20A4uf9Mq7n1iNxtn6P/yN63i9s07Kvqo7r+7PcnVfgzffmA7V5yxKug/3O81a1ezsru1Yt+Kha1ce97UtX/559umxRM+dzmecIwbquK58s3HsqAlQSoe4XP3PFlzfG75+baK653I5ivaZPKFaeNePvc1a1dz7KJ2UvEI//Kzpyra3fbQjmnxb+xfTbFUrNi3fGErHzjruJr9L+5Ick3VetjQ38uB8Sxf/vk21p9T2f+C1gTvO/PYmmMeHotaa6s61mO6W/mbNa+smMtaMW7o7+XARGU8tdqX10qtebj63F562pOVa+8cb26WL2jlg2+pPT4RI1hv4fGcto79vsrXe9tDO6aNXXhtbejv5av3PRWMZ61z15q3cP/VMcw0/rc9tGPaGrtm7WoWdyRn7WN+S4Ir31x7zmvdL8VikY39q2u2L7fZ2L+ayVy+7lyWx+f6t7+a5QtaaaaGPWgGMLPlwO11HjT/AXAZUw+ab3TOvW62Pg/2QTNMVR/tHsmwuDPFvKD6KIoZU9VHHSkWtJWrj6LkiyUWVlcfJaJM5LxqniM6K6tNSq5IayJBvlhiv18dlIpDprr6aP8E3X7VRVfa+7+DadVHfjyJUPXR4IhXYeGA4ckcbaHqo0KxSGsyTq5QYrdfaTSRK7CoI8loZqp6JxZxFErmVdd0JIn5FR+d6XhQKdGSiPL0ngl6OpJAEfAqOBa1h6pxklMVNLlQ9VFr0hjPOgb97WTMq+7o9KuPetpTxELVR3vGsixsq6w+2jeRxx1E9dHgaI6oX320qCNJS43qo+HJPAvbErhQ9VG5uibcPlcskIjGgvgTsQj7JrK0hqqPytdRrqQJV1ZFbKoaJzyXPe1V1UdjWZZ1pskX51Z9NDjiV/S42tVHy7q8KrDw3Hel4xRK06uPJnIFOvzqo6HRLJ0tU+duTUQZznjVXOW4C8UCHemkt+79McsWCrTEvT6eH87QXV191OnFWq4cyheLJGMxYqHqo33jWea3Tt0HiZh3Le1V1UflaiKzEs5N3Rsxg0F//PeOedWDznnx9LQnKboiUausPnr+QCZYu+X1vHvMq447MJGjq8WrVOtuTVB0ldVHC9uSxCLGjuFJutumqo+GJ/McVVV9tH88xzy/6q0r7VUfPbUnQ3vKe31Y1J5kf6j6KBWP0Nrg6qO5PmhuZPXR14DTgYXAbmA9EAdwzn3GL0n9J2ANXknqnznnZn21fyFJQUTkt91ck0LDfk/BOXfRLMcd8N5GnV9ERA7eYfGgWUREXh5KCiIiElBSEBGRgJKCiIgElBRERCSgpCAiIgElBRERCSgpiIhIQElBREQCSgoiIhJQUhARkYCSgoiIBJQUREQkoKQgIiIBJQUREQkoKYiISEBJQUREAkoKIiISUFIQEZGAkoKIiASUFEREJKCkICIiASUFEREJKCmIiEhASUFERAJKCiIiElBSEBGRgJKCiIgElBRERCSgpCAiIgElBRERCTQ0KZjZGjN7zMy2mtmHaxw/yszuNrNfmtlmM3trI+MREZGZNSwpmFkUuAk4GzgeuMjMjq9q9hHgVufca4ALgU83Kh4REZldI39SeB2w1Tm3zTmXA74OrK1q44AO/+tO4PkGxiMiIrNoZFJYCjwX2t7u7wu7GvgTM9sO3AH8Va2OzOxSMxsws4GhoaFGxCoiIjT/QfNFwJecc8uAtwJfMbNpMTnnbnbO9Tnn+rq7u1/2IEVEfls0MinsAI4MbS/z94VdAtwK4Jy7F0gBCxsYk4iIzKCRSeF+YJWZrTCzBN6D5E1VbZ4FzgAws1fhJQW9PyQi0iQNSwrOuQJwGXAn8CheldEWM9toZv1+s/cDf2lmDwFfA97lnHONiklERGYWa2Tnzrk78B4gh/etC339CPB7jYxBRETmrtkPmkVE5BCipCAiIgElBRERCSgpiIhIQElBREQCSgoiIhJQUhARkYCSgoiIBJQUREQkoKQgIiIBJQUREQkoKYiISEBJQUREAkoKIiISUFIQEZGAkoKIiASUFEREJKCkICIiASUFEREJKCmIiEhASUFERAJKCiIiElBSEBGRgJKCiIgElBRERCSgpCAiIgElBRERCSgpiIhIQElBREQCSgoiIhJoaFIwszVm9piZbTWzD9dp83Yze8TMtpjZvzYyHhERmVmsUR2bWRS4CXgzsB2438w2OeceCbVZBVwF/J5zbr+Z9TQqHhERmV0jf1J4HbDVObfNOZcDvg6srWrzl8BNzrn9AM65wQbGIyIis2hkUlgKPBfa3u7vCzsWONbM/tPM7jOzNbU6MrNLzWzAzAaGhoYaFK6IiDT7QXMMWAWcDlwEfM7MuqobOeduds71Oef6uru7X94IRUR+izQyKewAjgxtL/P3hW0HNjnn8s65p4DH8ZKEiIg0QSOTwv3AKjNbYWYJ4EJgU1Wb7+L9lICZLcR7O2lbA2MSEZEZNCwpOOcKwGXAncCjwK3OuS1mttHM+v1mdwJ7zewR4G7gg865vY2KSUREZmbOuWbHcFD6+vrcwMBAs8MQETmsmNkDzrm+2do1+0GziIgcQpQUREQkoKQgIiIBJQUREQkoKYiISGDGD8Qzs/NnOu6c+85LG46IiDTTbJ+Seu4MxxygpCAi8t/IjEnBOfdnL1cgIiLSfHN6pmBmi8zsC2b2fX/7eDO7pLGhiYjIy22uD5q/hPeRFEf4248Df92AeEREpInmmhQWOuduBUoQfK5RsWFRiYhIU8w1KYyb2QK8h8uY2RuA4YZFJSIiTTHXv9F8Jd7HXr/CzP4T6AYuaFhUIiLSFHNKCs65B83sjcBxgAGPOefyDY1MRERednNKCmaWAt4DnIr3FtJ/mNlnnHOZRgYnIiIvr7m+fXQLMAr8H3/7j4GvAH/UiKBERKQ55poUVjvnjg9t3+3/tTQREflvZK7VRw/6FUcAmNnrAf35MxGR/2Zm+0C8X+M9Q4gDPzezZ/3to4HfND48ERF5Oc329tE5L0sUIiJySJjtA/GeCW+bWQ+QamhEIiLSNHP9QLx+M3sCeAr4f8DTwPcbGJeIiDTBXB80XwO8AXjcObcCOAO4r2FRiYhIU8w1KeSdc3uBiJlFnHN3A30NjEtERJpgrr+ncMDM2oB7gK+a2SAw3riwRESkGeb6k8JaYBJ4H/AD4Elm/lOdIiJyGJrrB+KFfyr4coNiERGRJpvtl9dG8f+GQvUhwDnnOhoSlYiINMVsv6fQ/nIFIiIizTfXZwoiIvJbQElBREQCDU0KZrbGzB4zs61m9uEZ2r3NzJyZ6XcfRESaqGFJwcyiwE3A2cDxwEVmdnyNdu3AFcAvGhWLiIjMTSN/UngdsNU5t805lwO+jvf7DtWuAT4G6E97iog0WSOTwlLgudD2dn9fwMxOBo50zv37TB2Z2aVmNmBmA0NDQy99pCIiAjTxQbOZRYDrgffP1tY5d7Nzrs8519fd3d344EREfks1MinsAI4MbS/z95W1A6uBn5rZ03ifwrpJD5tFRJqnkUnhfmCVma0wswRwIbCpfNA5N+ycW+icW+6cW473Udz9zjn97WcRkSZpWFJwzhWAy4A7gUeBW51zW8xso5n1N+q8IiLyws31o7NfEOfcHcAdVfvW1Wl7eiNjERGR2ek3mkVEJKCkICIiASUFEREJKCmIiEhASUFERAJKCiIiElBSEBGRgJKCiIgElBRERCSgpCAiIgElBRERCSgpiIhIQElBREQCSgoiIhJQUhARkYCSgoiIBJQUREQkoKQgIiIBJQUREQkoKYiISEBJQUREAkoKIiISUFIQEZGAkoKIiASUFEREJKCkICIiASUFEREJKCmIiEhASUFERAJKCiIiEmhoUjCzNWb2mJltNbMP1zh+pZk9YmabzewuMzu6kfGIiMjMGpYUzCwK3AScDRwPXGRmx1c1+yXQ55w7EfgW8PFGxSMiIrNr5E8KrwO2Oue2OedywNeBteEGzrm7nXMT/uZ9wLIGxiMiIrNoZFJYCjwX2t7u76vnEuD7tQ6Y2aVmNmBmA0NDQy9hiCIiEnZIPGg2sz8B+oBP1DrunLvZOdfnnOvr7u5+eYMTEfktEmtg3zuAI0Pby/x9FczsTODvgDc657INjEdERGbRyJ8U7gdWmdkKM0sAFwKbwg3M7DXAZ4F+59xgA2MREZE5aFhScM4VgMuAO4FHgVudc1vMbKOZ9fvNPgG0Ad80s1+Z2aY63YmIyMugkW8f4Zy7A7ijat+60NdnNvL8IiJycA6JB80iInJoUFIQEZGAkoKIiASUFEREJKCkICIiASUFEREJKCmIiEhASUFERAJKCiIiElBSEBGRgJKCiIgElBRERCSgpCAiIgElBRERCSgpiIhIQElBREQCSgoiIhJQUhARkYCSgoiIBJQUREQkoKQgIiIBJQUREQkoKYiISEBJQUREAkoKIiISUFIQEZGAkoKIiASUFEREJKCkICIiASUFEREJKCmIiEgg1sjOzWwNcAMQBT7vnPuHquNJ4BbgtcBe4B3Ouadf6jhKJcfTe8fZPZJhUUeK5QtaiUQMgEKhxJadw+wczrCkM41zjt2jWea1xMkXShy5IM3gSI6h0QwL2pKMZPJ0pOIcmMwzLx0nFY8yms0Ri0TZPZJlUUeSeS1RRjMFCiVjcDRLT3uS8VyBeek4hRIMjmZY2JZk/0SexR1J8sUSO4e9701EHbmisXsky7J5KUolGMvlScdj7B7JsqQzSSIa4dn9k/S0J0nGIFuA3SNZjpqfJlcosXskS0+Hd87OVBwDdo5455zMF0jHYwz5caUTUcZzeYwIu0eyrOxuYTRbZNDvo1AqEotEGRrNsrgjSSwaYdeINz77J3Ism5dmPFsMrr3cfu94jkXtSQzYn8nRlogzOJplWVeKQgl2DmdY1JGkPRVhNOPFvLQrhQGDYznmtcQ5MJFjUXuKfLHE3ol8sK+rJcHwpDd2mXzl9c5vSZAvlBgcy7KwLcnwZJ7OdJzxXIGetiTjuSL7/b72TeRY2JogEY2wcyTDvJYEBybzdKXjjOfyLOtKsX9iaiwmcwXSiRjjuQJdqTglB/smcnSm4954diRJRiPsm8jRkvDGuLu9ch6GM3laEjEG/fktlGD3SIbu9qlYC6Ui89IJRrNTse4Zy9LdliQVi7B7LEtHKh70ny0WaEvEcQ6G/LHbN55jcUeSkoPnhzP0tE/N/YHJPEfPTzE8WeTARJ4uv/8lnSmcgx0HvLlZOi/Kjv3FYG3lCyX2+eOzZyzLonZvPew4MFmxtvaMeWsrFokwmsuRjHpr94jOFBGDofEcXempudw/kae7LQHAHv9YuY9ENMLu0Syd6Xgw/oP+WvTmzVuL5fUGMJr17pdg3vy4utJRJgtFsnmC9bqgNcrukRyxaJThiRydfjzzWuLMb4kynClQLFlw78Uj3r23qCOJo4QRYd94jp72JBEzhiezpP217t2fjkQsxmimSK5YIOGPxaKOJB2pKE8MTlTcN3vGsiztTIN/zy7pTNO7pINIxOq+hr3UzDnXmI7NosDjwJuB7cD9wEXOuUdCbd4DnOice7eZXQj8oXPuHTP129fX5wYGBuYcR6nk+MGWXVx566/I5Euk4hGuf/urWdO7mFLJ8d2HdvCR7z4cHLvyzceSjEa47ge/4ZQV81lzwhLWb9oSHL/8Tav4xsCzvKPvKL4x8CxXnf1KRiYLrAu1+fgFJ5LNl/jo96b6vfrcXgqlEtf++6PBvg+cdRwL2hJc9Z1fB/s29vdy68Cz7DiQ5eJTjuauR3fxtpOPYsPtU/2vP7eXr/3iGRZ3JjjzVUtYt2kLx/a0cdHrj2bDbZXtouZYt+kRMvkSRy9I8+7TVlb0de15q0lEI3zo25trXu+G/l6+OfAsA88Mk4pHuO78E9g7luOTP3xs2jmPXpDmPaevrPj+8HjOa0lw8SlHc8NdT1Rc700/3cozeyfrtv/6/d543/iTJ2Ycu+v+8AT2TeT4xJ2PTZuv//3GlXS1xLju+7+Z1tcVZ6zilnufYf9ELmh/5ZmryBZg3aapOVx/Ti/ffvBZLnjtURRKJT73H9um9bWxv5d4LFIRV3nuv/vL7cFc1hqL8rnff9ZxZPMl/unuJ6b1v6G/l1yhxN/f8ei0uPpPWspkvsSnfvx4zf7L7f7y1BUMZ4rc9NOtdcciETPee/pK1m3aMuM8lNficCY/bW195A9eRSwS4erQmvzbs18ZxFje974zjyUdj/CF/3yqZv9RHLc+8Ny0+yC8Fsv7PviW45jfkuCqf/v1tOt+x+8cTTIe4UPf2jx1r77tRHLFUsVrQPU8hO/jWuMz07Vt7F9NZ0uMz93z5LT4N/T38oNf7+Tep/axob+XT/90K7mCmzZv1563mq6WOJf96y+nvYYdTGIwswecc32ztmtgUjgFuNo59xZ/+yoA59x1oTZ3+m3uNbMYsAvodjMEdbBJYdvQGG+98T/I5EvBvlQ8wh2X/w9GM3necfN9045detox3HjXVr7857/D//rKA9OOX3LqMXzhZ9u45NRjeNXidj7wrYcq2lx+xkpuvmdb3X5n2/fxC07isV2jfOFn2/j4BSfxoar+y20607Egvhsvek3Ndp+84CQu+9ovAXjv76/kCz+rH1e96/34BSdxud9H+Nqqzzlb//WOX3LqMdx099a67cvjPdt41hv38vd/8oKTeNQf13oxlL+uNa/lsfjQtx7i0tOOoVhiTnGV963saQ/Ga6axiEbg5nvmft3luLYOjgbXX6//j19wEt1tCf7sS/fX7f+SU48Bpq5ttnkIr9fZ7oOZ7o164/nJC06iBNPW98HcZ+F5m+uaKc/DbOMzW1/14k/FI3z2f76WP/3i/TP2W++a7rj8f3BMdxtzNdek0MhnCkuB50Lb2/19Nds45wrAMLCguiMzu9TMBsxsYGho6KCC2D2SqRhggEy+xOBohp3DtY+V/JS0fzxf87jZ1H/Hs4VpbUqOGfudbd9krhCcY7JG/+U24fjqtRvPFYLtcp8He72ToT7C11Z9ztn6r3fcbOb2s/VbK7bq/stjMVsMM81reSzK555rXOV94fGaKY7ydRxM/5O5QsX11/veyVyBodHsjP2bVX7/bPMwWWdca83HTPdGvf7Hc4Wa6/tg7rPwvM2lj/A8zDY+s/VVL/5MvsSBifys/da7psHRDI1wWDxods7d7Jzrc871dXd3H9T3LupIkYpXXmYqHqGnPcWSznTNY+WfyOa3xmsed27qv62p2LQ2UWPGfmfbl07Egq9bktP7L7cJx1evXWsiNm3fwV5vOtRH+NrqnXOma6w3nrO1n8t41hv38ny1hsa1XgwzzWt5LMLnPph5rh6venGEr2Ou/acTsWnXXy/+7vbkjP2Hx6K6r5nWx1zug9nujXpruNZaO5j7rHreZuujeh6qj831emeKPxWP0NUSn7XfetfU056iERqZFHYAR4a2l/n7arbx3z7qxHvg/JJZvqCV69/+6opFff3bX83yBa30Lung2vNWVxy78s3HsqAlQSoe4V9+9hQb+nsrjl/+plXcvnlH8N9YBDZWtXlFTxvXrK3s9+pze+mpuhk/cNZxrFjYWrFvY38vt/x8G99+YDtXnLGKL/98G+vPqex//bm9fP6eJ/m/9z0VnPtz9zzJ+nOnt5vI5YN9tz20Y1pf1563mpXdbXWvd4MfT3l7+cJWPnDWcTXPedtDO6Z9f3g8y9dUfb23b94xY/vbHvLGe7axW76glQ++5bia83X1ub3EotTs64ozVvGdB7dXtC8Wi2zsr5zD9ed4Y1Gey1p9bezvnRZXuX14LmuNRfnc5fVTq/8N/b3eA+cacS1oTfC+M4+t23+53chElo39vTOOxW0P7QjW1kzzUF6LtdZWd3uSq6vWZDjG8r73nXksC1sTdfufyOZr3gfhtVje98G3HMeKBa01r/uatatZ2dNWea92t017Daieh9nGZ6Zr29i/mnjMasa/ob+XL/3sqeDr2zfvqDlv1563mhOXddZ8DWuERj5TiOE9aD4D78X/fuCPnXNbQm3eC5wQetB8vnPu7TP1e7DPFGCq+mhwNENPe+3qo13DGRZ3pHDA4GiWrpY4hUKJZeXqo7EMC1qTjGbytKfiDPtVGHWrj7IFCsXa1UflSqYDE3kW1ak+GhzNsrQzRclNVR8N+v0nY6HqozhBNUVQfeSfcyJXoKOq+iiTL5CaofroFd0tjGWLQdzFUpGoX320qCNJPFR9dGAixxFdaSZyUxU65fb7xnN0tyWJGBzI5GhNeNUySztTFFzt6qNydUq4+qinPUWhTvXRovYk2arrnZdOkC9OVR+Vq8XGcwW625JMhKqP9k/kmN+SIBmLsGskE/TbmY4zkcuztFx95Pdfrn6Z8KuJKqqPxrL0tHlzs38iR3q26qNQJdbu0QzdbUmGM3k6U171UVc6wVi2GFRD7fWvp6L6yK9IyhULtMS9/+MMVx8tak/i8Ma6O1R9NDyZ56hy9VGommiJv/5rVh/NS5Mvltjvj0+5Oig+S/XRWC5HIuqt3cWdKaKh6qNwtU+5+mjvuDee5etN+tfbmZqqPhoKKnu8tdjlX2+3X+0WVB/57cprvisdJVMoknmh1Uf++q+uPto/nmNhe5KoGcOTlXOfjEEiGmU0WyRfLBCPTlVFdaSibB2cqKjy2zuWZUlnGgN2jWRY3Jmid0lnUH1U6zVsrpr+oNkP4q3AP+KVpH7ROff3ZrYRGHDObTKzFPAV4DXAPuBC59y2mfp8IUlBROS33VyTQkN/T8E5dwdwR9W+daGvM8AfNTIGERGZu8PiQbOIiLw8lBRERCSgpCAiIgElBRERCTS0+qgRzGwIeKbZcczBQmBPs4N4ERR/8xzOsYPib7Z68R/tnJv1t38Pu6RwuDCzgbmUfx2qFH/zHM6xg+Jvthcbv94+EhGRgJKCiIgElBQa5+ZmB/AiKf7mOZxjB8XfbC8qfj1TEBGRgH5SEBGRgJKCiIgElBReJDM70szuNrNHzGyLmV3h759vZj8ysyf8/85rdqwzMbOomf3SzG73t1eY2S/MbKuZfcPMEs2OsR4z6zKzb5nZb8zsUTM75XAafzN7n792Hjazr5lZ6lAefzP7opkNmtnDoX01x9s8N/rXsdnMTm5e5EGsteL/hL9+NpvZv5lZV+jYVX78j5nZW5oSdEit+EPH3m9mzswW+tsHPf5KCi9eAXi/c+544A3Ae83seODDwF3OuVXAXf72oewK4NHQ9seATznnVgL7gUuaEtXc3AD8wDn3SuAkvOs4LMbfzJYClwN9zrnVeB8zfyGH9vh/CVhTta/eeJ8NrPL/XQr888sU40y+xPT4fwSsds6diPd3YK4C8O/lC4Fe/3s+bWbRly/Umr7E9PgxsyOBs4BnQ7sPfvydc/r3Ev4Dvge8GXgMWOLvWwI81uzYZoh5Gd6N/CbgdsDwfiMy5h8/Bbiz2XHWib0TeAq/aCK0/7AYf6b+Tvl8vI+yvx14y6E+/sBy4OHZxhv4LHBRrXaHUvxVx/4Q+Kr/9VXAVaFjdwKnHIrxA9/C+5+ip4GFL3T89ZPCS8jMluP9waBfAIucczv9Q7uARc2Kaw7+EfgQUP6L4QuAA865gr+9He/F61C0AhgC/sV/++vzZtbKYTL+zrkdwCfx/u9uJzAMPMDhM/5l9ca7nPTKDodr+XPg+/7Xh0X8ZrYW2OGce6jq0EHHr6TwEjGzNuDbwF8750bCx5yXog/J2l8zOwcYdM490OxYXqAYcDLwz8651wDjVL1VdIiP/zxgLV5yOwJopcZbA4eTQ3m8Z2Nmf4f3lvBXmx3LXJlZC/C3wLrZ2s6FksJLwMzieAnhq8657/i7d5vZEv/4EmCwWfHN4veAfjN7Gvg63ltINwBd/t/ZBu/tpR3NCW9W24Htzrlf+NvfwksSh8v4nwk85Zwbcs7lge/gzcnhMv5l9cZ7B3BkqN0hey1m9i7gHOCdfmKDwyP+V+D9T8VD/n28DHjQzBbzAuJXUniRzMyALwCPOueuDx3aBPyp//Wf4j1rOOQ4565yzi1zzi3He6D2E+fcO4G7gQv8Zody/LuA58zsOH/XGcAjHCbjj/e20RvMrMVfS+X4D4vxD6k33puAi/0qmDcAw6G3mQ4ZZrYG7y3UfufcROjQJuBCM0ua2Qq8B7b/1YwY63HO/do51+OcW+7fx9uBk/174+DHv9kPTA73f8CpeD8qbwZ+5f97K9778ncBTwA/BuY3O9Y5XMvpwO3+18fgLf6twDeBZLPjmyHuVwMD/hx8F5h3OI0/sAH4DfAw8BUgeSiPP/A1vOcfef8F6JJ6441XtHAT8CTwa7wqq0Mx/q14772X7+HPhNr/nR//Y8DZh2L8VcefZupB80GPvz7mQkREAnr7SEREAkoKIiISUFIQEZGAkoKIiASUFEREJKCkIHKQzGys2TGINIqSgoiIBJQURF4EM/ugmd3vf1b9Bn/fcv/vOnzO/zsJPzSzdLNjFZkLJQWRF8jMzsL72IPX4f1W9WvN7DT/8CrgJudcL3AAeFszYhQ5WLHZm4hIHWf5/37pb7fhJYNn8T7k7lf+/gfwPv9e5JCnpCDywhlwnXPusxU7vb+rkQ3tKgJ6+0gOC3r7SOSFuxP4c/9vaWBmS82sp8kxibwo+klB5AVyzv3QzF4F3Ot96jVjwJ/g/WQgcljSp6SKiEhAbx+JiEhASUFERAJKCiIiElBSEBGRgJKCiIgElBRERCSgpCAiIoH/DznuH3h5uvLnAAAAAElFTkSuQmCC\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "sns.scatterplot(data=data, x=\"len\", y=\"label\")\n" + ] + }, + { + "cell_type": "markdown", + "id": "cdb4ba7c", + "metadata": {}, + "source": [ + "### Inference : No correlation between length of tweet and its probability of being a hate speech" + ] + }, + { + "cell_type": "markdown", + "id": "8edf27a5", + "metadata": {}, + "source": [ + "## Train Test Splitting\n" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "da5fe15c", + "metadata": {}, + "outputs": [], + "source": [ + "train_X,test_X,train_y,test_y=train_test_split(data[\"tweet\"],data[\"label\"])" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "id": "10509b3c", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "yes\n" + ] + } + ], + "source": [ + "if len(train_X)==len(train_y):\n", + " print(\"yes\")" + ] + }, + { + "cell_type": "markdown", + "id": "49a6dc8d", + "metadata": {}, + "source": [ + "## TF-IDF Vectorization" + ] + }, + { + "cell_type": "code", + "execution_count": 103, + "id": "033d975a", + "metadata": {}, + "outputs": [], + "source": [ + "pipeline_logistic = Pipeline([\n", + " ('vect', CountVectorizer()),\n", + " ('tfidf', TfidfTransformer()),\n", + " ('lr', LogisticRegression()),])" + ] + }, + { + "cell_type": "code", + "execution_count": 104, + "id": "b57db647", + "metadata": {}, + "outputs": [], + "source": [ + "model = pipeline_logistic.fit(train_X, train_y)" + ] + }, + { + "cell_type": "code", + "execution_count": 105, + "id": "6377d69b", + "metadata": {}, + "outputs": [], + "source": [ + "predict_y=model.predict(test_X)" + ] + }, + { + "cell_type": "code", + "execution_count": 106, + "id": "25b403e9", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[1 1 0 ... 1 0 1]\n" + ] + } + ], + "source": [ + "print(predict_y)" + ] + }, + { + "cell_type": "code", + "execution_count": 107, + "id": "8711476b", + "metadata": {}, + "outputs": [], + "source": [ + "predict_y=pd.DataFrame(predict_y)" + ] + }, + { + "cell_type": "code", + "execution_count": 108, + "id": "58e6d15f", + "metadata": {}, + "outputs": [], + "source": [ + "predict_y.columns=[\"label\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 109, + "id": "fdf48945", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
label
01
11
20
31
41
50
60
70
80
91
\n", + "
" + ], + "text/plain": [ + " label\n", + "0 1\n", + "1 1\n", + "2 0\n", + "3 1\n", + "4 1\n", + "5 0\n", + "6 0\n", + "7 0\n", + "8 0\n", + "9 1" + ] + }, + "execution_count": 109, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "predict_y.head(10)" + ] + }, + { + "cell_type": "code", + "execution_count": 127, + "id": "be2cfe02", + "metadata": {}, + "outputs": [], + "source": [ + "test_X=pd.DataFrame(test_X)\n", + "test_X.columns=[\"tweets\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 128, + "id": "1115aa8e", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " tweets\n", + "3339 if you are hispanic black asian a nonracist w...\n", + "3301 no such thing as the lgbt community the most ...\n", + "332 thanking you yin tranquil amp beautiful fr...\n", + "3611 allahsoil most deaths caused by islamic extre...\n", + "2787 come in fraud amp documented liar lost ba...\n", + "1083 audjpy fails to resist above 80 yet again ri...\n", + "1578 just got a new oh new phone \n", + "158 todays shootings are an attack against us al...\n", + "2245 lumpy says i am a prove it lumpy\n", + "3852 why is obamalegacy only showing negative stuf...\n" + ] + } + ], + "source": [ + "print(test_X.head(10))" + ] + }, + { + "cell_type": "code", + "execution_count": 129, + "id": "a88304c8", + "metadata": {}, + "outputs": [], + "source": [ + "test=pd.concat([test_X,predict_y])" + ] + }, + { + "cell_type": "code", + "execution_count": 130, + "id": "569b6dae", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
tweetslabel
3339if you are hispanic black asian a nonracist w...NaN
3301no such thing as the lgbt community the most ...NaN
332thanking you yin tranquil amp beautiful fr...NaN
3611allahsoil most deaths caused by islamic extre...NaN
2787come in fraud amp documented liar lost ba...NaN
1083audjpy fails to resist above 80 yet again ri...NaN
1578just got a new oh new phoneNaN
158todays shootings are an attack against us al...NaN
2245lumpy says i am a prove it lumpyNaN
3852why is obamalegacy only showing negative stuf...NaN
\n", + "
" + ], + "text/plain": [ + " tweets label\n", + "3339 if you are hispanic black asian a nonracist w... NaN\n", + "3301 no such thing as the lgbt community the most ... NaN\n", + "332 thanking you yin tranquil amp beautiful fr... NaN\n", + "3611 allahsoil most deaths caused by islamic extre... NaN\n", + "2787 come in fraud amp documented liar lost ba... NaN\n", + "1083 audjpy fails to resist above 80 yet again ri... NaN\n", + "1578 just got a new oh new phone NaN\n", + "158 todays shootings are an attack against us al... NaN\n", + "2245 lumpy says i am a prove it lumpy NaN\n", + "3852 why is obamalegacy only showing negative stuf... NaN" + ] + }, + "execution_count": 130, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "test.head(10)" + ] + }, + { + "cell_type": "code", + "execution_count": 115, + "id": "51ae86f7", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[0]\n" + ] + } + ], + "source": [ + "print(model.predict([\"Good morning\"]))" + ] + }, + { + "cell_type": "code", + "execution_count": 116, + "id": "4ebc23cb", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[1]\n" + ] + } + ], + "source": [ + "print(model.predict([\"fuck off\"]))" + ] + }, + { + "cell_type": "code", + "execution_count": 117, + "id": "2baa563c", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[0]\n" + ] + } + ], + "source": [ + "print(model.predict([\"I had the fucking best day of my life \"]))" + ] + }, + { + "cell_type": "code", + "execution_count": 118, + "id": "81cf070b", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[1]\n" + ] + } + ], + "source": [ + "print(model.predict([\"You fucking retard\"]))" + ] + }, + { + "cell_type": "code", + "execution_count": 119, + "id": "8575e44c", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[0]\n" + ] + } + ], + "source": [ + "print(model.predict([\"You retard\"]))" + ] + }, + { + "cell_type": "code", + "execution_count": 120, + "id": "656628d8", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[0]\n" + ] + } + ], + "source": [ + "print(model.predict([\"Go to hell\"]))" + ] + }, + { + "cell_type": "code", + "execution_count": 121, + "id": "54b86dff", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[1]\n" + ] + } + ], + "source": [ + "print(model.predict([\"You fucking libtard\"]))" + ] + }, + { + "cell_type": "code", + "execution_count": 122, + "id": "6d770c2e", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[1]\n" + ] + } + ], + "source": [ + "print(model.predict([\"Fuck of bitch\"]))" + ] + }, + { + "cell_type": "code", + "execution_count": 134, + "id": "aecd7365", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "85.01338090990187\n" + ] + } + ], + "source": [ + "print(accuracy_score(test_y,predict_y)*100)" + ] + }, + { + "cell_type": "code", + "execution_count": 136, + "id": "8909784d", + "metadata": {}, + "outputs": [], + "source": [ + "filename = 'finalized_model_hate_speech.sav'\n", + "pickle.dump(model, open(filename, 'wb'))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1e93b6d9", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e56fa11e", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e1c41469", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b4c699dc", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "37e661d1", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "af23a3de", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.7" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/Python/model.sav b/Python/model.sav new file mode 100644 index 0000000000000000000000000000000000000000..b622147905d3cc3748f2c8a5d205aab62bd0c5eb GIT binary patch literal 338812 zcmY)12biQ)l|FDL=R6E?7#PfoGQ*H`O}NIfQB)KoR(Dr-*GzX+)73RSJ&TGteMZVP zV~!XRMOQ`CH6rF5*R+N;2h8~Yz4xmg{Lk~C)m2}(-@PZi=RN1#?~ zKCNuFM>?ae_ISTq)|(wW<*a_ScC_g$*PWT^%=D|}-PxH|ZoDoZrY~%aj5xE~Ket*t zJ=2_?>5MeHT?d|9t(xuZZ??-F&#hKA+KtKi+`U>l*O?jZSF0vFbIqBNMz`62TD7hm zd*O6rcD6awcJW)>xp&J)3_oJ-5p%bG#Bje_-JR`BUzihfr{zQDdj zxN6P6eBXagzgqLJ=Vcw2jy3i-`$KnJV`8k;fmV06KXlxpYDr^ixR4p5yvAF%AH?FHz%(Z4GIu>o{(L0^n?M`$io8A7<8x~iq4>sGK>50y8%URd% ztkzFkp2s zRyEqKsYaxzKXinHXZ+P4>K|Jzn`w?W-0(-on77H!_@3SUq1!JtbA~w8A9~TMYUwCx z>JN2%+TZTX^@kq6sai7J80`>TjmU)fwOZXWCpeSUSdgcS9MUg*k=_H1r< z+r`z2`R3%vM9UvP-B~T0C%@zUp+zSBeM( z;5+kww^b{;lZ~mVT>i<&lh;;vqCfP|od#dl>2aH@<(=WiRHotRZPn@#^E}s?8lE(U zH!QD~^tz_%b0=2IYIz-c+Rkc4XJ)d|9(DDXZ!?tEOs@Ty9ps=jY1Tf!#+RMZhEYA! zm!pjgdiTm|*~nz4=g8+R&#ZPF*)yvnWTQXy;AQ5ZH9ldg8=I?@6RqyFH5=&ZKk0-!!>4PZlX2oLdyvf^4)j4Y=7v^M^`K78nam;>+zDrbw>KmLSj<$=~nt6lDRwDTuAQ<3838>%I9nT1!KR4tx2TYoX>`^#NgglH}j zaaR&CGQr67hc+y)mR;0qHhp{QG1ZpQ&Rjd{F+0&@ni?}B6R!01Rn;b6jP+t1Tivnd zR3q!OZAZ0YvNhbCX;}Yr%-=Ah+dPm#ykJSSWIBU5<)~^+t35K=>r&9n%~v-tkQenD zro>;*S{tEx4BgDj{^rQum~S5#ac|O;{?OaEL;#8sJjVkN<>uH- z(=pFoRxNQkvb3sN&4RHIte-O;xUpJ2-RaH_&omFV{C(@ADU4+=qy8L)Aw=}cuzx^? zn3g%yal7Lwx`)a7zMBG1^u}q!&;|yi*Ye%Rw^pkrEdK}-;pXSBuNL=+Ugtzw)EQ|t zGYj9h^j*W~5B>W1YR!0uKRLiP3Ay|ev5Sm zFcGu4$K$j+Q=P2YdylMElf1)5bIpcoz4>U557VB(HLhJ+E!}BPGx|ecKe1ZP9TrVlJ-KVv3N_hEe2x!+!Ac`Uf8z1wlIshP>QZ{|M6 z%|+W>L`M2UmlKhZnO@Tjd~XGZ%ni)2a*lcS2~oN($31jgOF7w!J8BZMsiL8`-9mDv z$V#_W%-Y8`5NRWgeI7f?MLUzR!&kFQW6fOth4Eyy%W}w<7DaYvXS3o@-(0PjYBp!f zYJX@;wX%B=xtYmH58YlZADd}4+m`J)YZ+C(C3kqvwrW+kZ4GKo_^>6LWL72&_S>7P z72~b(@#6Gu!XJ(`X!nd?4y+;dQQJGSo0B~v(jQv8rCLSOX6A=Gqkj1?Z$nZ|6=j8_ z8szku+pCphtaE+B`D?3{nazm~6f*R#%>f<`v+Q8XP_?~URxZ~cx@I-eBFFuqVWQ=} zMsUtb>SSQuh~X(qtCh18jrRVro+rJ5#Ul;9nKHstjww?u64ZU_* zwVZ|O0Fy&|7PHx%HgU`7{)0kr*yxs^CL!V(sQ@nzEo zY&i6ZO#Wz#`2K07d2BXm!jw;D&UZIwOqvA$6o*gHE)ut%7J?c@5`VFyTGwa=t~T4v zsWQCBKn7zojX2F&YdHcW%=94Uq35rNjkmImLoGgQNrp4qfp4hx(E2si@_6|?;KNMK zM6)qD8}D(+`fBw+!ph3ct;u2op+nnOR;!CF4DA1>SHnyeWTM+?S@2hZa3<0W8U8Cd zfmSyb_=y{NkO*X1laKQtBaKd{T>!>omQ|~uvr!fxN^mqp6cgiKr-BE?aT^`jMP{GC6>Tk=SUGt<&-+U*mTfiWdqEW4 zSpcd(^pow?>V2Kw4A9={dV(7^g6IKI-NU%_WCs55)m}{fo9qR6VCL^>7-OBej`bR) z)>EBY&YriG7}5M--N!AimXtYo5N``Bv9z7C21{zjg}06%+Twd!BM zX~$&NKK#yGsC0btMwDUU>Qd|W`UERUC)zBg$AvtJsQN=IEOK|k+y&)+@3?Al ztnYo;gGK={zh!0iH+gVVyNQQyjpn3Z5S(805J-yQt4^$zOhhN2w?2S5YX6u`7P$w! z`}S39tJTA%tTR@-jdv^o%FJSmi|Y?{+3A>iu~@NYZ)5N+VX)u#wpXhxFuz@d5h5p4}A(G9{gwtUbP%rVisMlKXe873orIE z9ecLM`@}YW7%=I!4#wMejyElW#&-1N&~bqW)8@NCwms|PNIKIoROcN9j?8psUA3&n zmyWJh3n6>MlL8;Z++`7%EW+cWkENDly{dK?zwn(WTMj=am($;WL@V+IXW0J)9{NIbJRfi2H=gw*t-y_QNJZEjFHh0>SASdAdFNZY+ zAyDl>@ygl^i#173y4D({BVY1^%uOt7X&F*xG z2|mRH$N2PzZo~Enzyg<+om`^-0ye%ubGp9Hq#m_B7ISj4cfh@0y51uO{y%a%J&1?c z`+u=(Bc1VZ0R-h3QwL;t+S9fWtKJBO_5BfB47Avx9ZO&nB4gE0CoZ-9CF>k~ndYx; z@gV|oALma&Q03c`tV2Qt*PYzNq;)!;`JpQUx`p&Z2Ul5MOPX7?pc$C6=*7uk=R#0$ z`I>6OG|w+gfCz|naK$l4XMKB_|5ua2aUNwnH-9=kAD-#4aX(3@$;K5S{#psF3f8?j zHDfns8x5-;DFeHhkI^Q0nPEKKALYtfhu4vvxncl+D2SpFiQPq1W-;>DA9_b-9Bz*} z{^W5rBeL-Kd$w0=iwt%P26dwY)ICz4Nx08({ClSn%lxpV)hhEvP|9GRzcR+R+Zt~V zkm_Bj978Prbd8P2#?p=&+=*N08`!b?D1KeYd}FZuf@Rg3B9046y?JM~gn8tCS0qvy zjXb^w>MNeO*sN!-s20z8pf{OKQ6P-xUdMw!NSmU4&m?jQY_i>QKkArjoxn823x#GM z7(CCt^Z2N(9Fj|Zn#JY~`a`#Z52sq)&iFi$@%Nov zW3tof0s;M@5BO2^=!t3w{jClE;!+*_&y8p%df;|{-&!ppG{=6Cm=d1IgH?`>9# z&txY*7{!RVRTiN|lHRs~abog;tp~4zSQ8n|#GSo-hvC%$&2x`5)huRbYJ8@g{44@L zhBGTP%GW`n#7hX8M29RPUETn|j}15GEvWVX0(>$R_F^;>)aW+I8-z(qaf?oDuB=uf z>1IXgrunr%@obGP=T3;}m?OGngma{mU#BG=??1#Ijme;%_ltMtN`QNb7(0^V`4CLw zX7p=91Y@Wp_O~A+xMn!r8y;`9N7;kKP=ByALXYr)7`6V;ua2qKkG8srXgy^O$BtTM zJ_MM4KKsaOX&pfS0_YpWY~d09A~M4H#8mXL6wF|Jbdw4vJj7QJ341)x72aSx z?35Wee?>^xPEB=Oup*j1ITlXqQko9@AU|xuw-= z$Yp$CeO?M+g?ow%DYJMLe-r@aN$v_k1y;1$dupy~@A=?OY*|!i>*8uT0?J^8Nf1D{ zH$C0S54S(Tgcp+UF&?uqI@NN-8H)rc#dl{szeg>=`@$x-`N3++4R1uQ_CV#0cH1Mw zb*u!D+90JF`zI(dUYM;<1vAdGr!3CzICKluYEo&Ib^`;P!}G_rYpb;jSE`}oYQC-= z&U@%FmMEx+m040I6V~Au#mcR2%ZTPEUn?XZZVjz`rAN;#!PJaV}zR2XE4YURuL&Exh(Q?iPRXV5J`B0uyw%D zW^w+*lEHA);`puA`gtZ0o6YZf9M}B)&T7?E5NQ24Gb|?9&>wmY`&H0AcX}k6q-SWi zTSg2@n0K=ytHn|1he0T?Ry{HA+Tpl>^8Z^>tq4P1Cg=$;cf>xAax>H$#VYpnJ>j{V ze7iM&7Fhya%JFA`8wM0;It?Q_x|OH+A^wgkQR!#wthR)hZjYnu6QNAa*WC9zi8OpW zJJ*QX99ou)MY}b9m?u4dOCs<2a+gyCSxL@7>nH$rVL^yC9+}~`+VRu>##A2&jJ9$o znflHGU3V_b18En?_j!y#7@cA#KWf%m-EPlXKXW5@$=2~Y(ZXX^g(lv|Fc!T0P7GNA zLes57hX~(C`QwmQZuJLz)qxhEQxtg@sSLU6hbJ-Gm{0Ci?3iUYfVHW0fJX*DN()eqfJ{9r6AFeVZ*aSTm9#n9eqEpOD#gT05PM>mB) z{Xr25B#y5aBj!Vi8tm~PZlZvbMaeY`C#?>-3!Bhw)GK!;pS?h~Kavc|%@pEvW_2M3 z67*n-5$PhbfiZj?4T>2S5&(m>igWW~&vq-uIm(Fu2(S+RR^!(C(sLqy%?X2{eNe= z?g>nVIcgrldpcm{NfGc|w6OMfWR5yxW2Bq5{@XSSHp}L@;p0SijhGl26gINJd0(Hk zquQ`PlmeO|11zz|BP1i{;}(Bsp=#Rb2qYywtz=+chyMV_1LE2_ptT?5xVr)5mynl*No= z8^>1b4o8HI(LkWP14#2AH73Oh8~kL>x#6T(KOg?GgqP#dn=^CepmU&F!po7piNFS-0Vf0tBqnN`I|2I>(?@wZ(CDsx$)Zt2TCd5zNXr|@WWJZ z|LpJtoMi;>pw$4lpqVoeKne2 zG~hu<2XX3bFR{X!lS9sRCW|dG^v_Z{(Ht-7k9Q{aEA5!AAtsP4;0FE-YrlJ@8t)Lg*<5XuR07*hauuB{ntg+y5d|Y-~d=3%a06rL^pVO2v!cJKXgBVj_6ayN4P%{yL%~+%vIG!;P_RH zm#oZgR*-8bXzF_0!&q`j?*KBBe5$eWca9ItA!o(+En_{VJEItKLiGa_6jHj0{w_w~ zGt0zD*6gZk)o_#3mS-}8{}R|7Ea~3Q?Lx+ekthb=$n!5&V}6b9#fB-UZJ(gStT z2PN|C4_zQJftzjv2QxfRp&A`=F69>;)mD8R3Kjvf7e70;S~Umh&ewl_RA@6%n2ci! zzaOZ1a9MnM1Jt)_?@Ds=u-q<5ax#?#1*{#5sO%+$7v%Qiu=&EgxRh_Rbkwgb-}xt1 z8wS)mJsG6Se+dfJSuZ?-&yC5cPA2XOJbS?(!Xa)YSQ{=ZDEplZ3(B{3V6eb1_DEf+ zr2f#}?QBmb^dKNL2Q5TU_KCIQlVSs&Lr+J<<%Mqgos5+bqNHE__TAOh>TzyrrZHV2 zgB3JoIFXP$qWD zdO@tqSv)=TaBp~`SB&>xxC9V1nsOFzORwtVzp}hq51=EN7jhi^p`Vk|$p$I?F?q(H zFqzTcxy7N3X5v5;Lcr^TjChR4{aLieXk*%lZXv7EY#(UNblUYTE-@sTCr5oy^f6Lg z*9AN^7nvM65@aF%$`iLWjB)I_o;39I*`sEXh`U{kdoz#DGS7+Io5 zVt_XvOIFBV-06{otjiY1>Ax0s8XgwdT_~KWQ-o73gy=J+9#K2ae2DZreWn-5XLc#e zOU$7(R-MD!Epad&@OIw1YH>0Q_h1ye6Z3h1GfXHcZ20zB$5k6f8e_0kYsQm=5oR=b zR^~$nUS$KfJq_=>(hd2mj&0rl4tz61(JJ80{M>XgXvO9nKD>KeM4`B4B`sXhfs%H+ zHRwH%5Lfv+=C<1tLyi~0zBjXMJ?il4d|;PTj|L6^?5iNZLhtXrUyPo4dg&I0OZBq) z;Y^D|GQlsh9RhGa-;PG{C`TAP<&rdt&)+F38=O|>-42SXq#BKAizS1H$H$`$-vEaj zqcqL)S{(_c0<)ejAT-Qg9b{cd<2-2L=mP7`^Q@4Z)92P!tM>EMq_HdTd=4B^((wpe z1pDFW;pk1(nxaYztmOF+X9`yCF8-KlD!Bj;xyb^+f4NdF#6m#b%J^MaJjBfc?_ zVFBzH3!U(G$~NLmKEdrVWTE7~3loi$jKnIJQI}+SKnjT)@DfbnNKdFXp)R=!^V2y5 zQIp>O&}H%*s9>Q=Z0K##`XEin*>`ao!&vJ&QkmlcdgHO4Qzur7r#!-kwzBim1q*d1 zH#sV9tY9L)z7w=rfIR)7w_>iR!)81a)jtmLWb_{saCE7VNL_VA(mmK-=oo<*C4Jv! z;dT>u4YwK2U5-k=`G8A5dmYVcBMm(EQIugm$YS%!MZS`Jra^2+oveL8>Ovq1u+y1$ z;XlI{6&Q1cg(6RN(a#9~g_4dAbrdko1tz^8SOIuz75+&Wfdqp6p{Fo@Od@#+aIUS@ zvrS5SAMb6YLZBNNK`a5uJ_ja9K4H6J8bC=QPR;F2Z?rfwy&}$Ar1nC)pJKZb{>gn5M zgbQENG6w~g-x3f=HeuoKyYm6{-;!V~i=6rZ5niLxaWqEhz37HIzf%C*EIdj_i^qK| zs%RP?l*3+mRJG*v-KY2WzFw|0sk?hvBL=k2Za)`XW5McK*tKWdy7AN?F5Yl z#l6LO5Fr&H6u_XP18J-~;N`v$~4GZzi{l{_nz8dD^|89+kTyDrNp-1o(l zZe&K~Q~c(eS14}~(_11XcmSr>xwridVmG+oQ$4Pk6Ku=%yz##%i``e)RFniOu*= znt2SfoD>RGE_(U1)C}|fr8w&{Q&_SDg%&u8Zxx(J09K~ zmZt~nh9A!)z8$I&?s%-HQr(ci?!6jM(+mK9A|>pW9RBU-ol@+Q^?SXDe0av ztIS3!--mvYL?(aj>o27&u7rxkr!0f>dhHu2vN!PnvEtlT%HMY9e_XaN+-#D z7q}ARa1OM>Stj}Cw6)bHRbuSmBm#6m>{w$Fb%S6#qPqwl3#$_-XR-cR^242RRS?PR zS#e}D#dF8YnWpG*?LDrBtO%|}X%=p}10g&74yG=pR1woJSgo2^rGXdlp#sz?7F>bG ziPhSYg+A>1k6S7jA|$13W6q?Sn#*NYVquIjN&I+C3-V8@Y^j^7YQ#kfKRB832~|h_ zyen=LGAN0)3k`5)qC7M3WxYf@%oUd=+xHism<7;e_G`Q#-Dr6e}H6M-izA_KOsGhtSL!jxRp ztCJZ2PLfz~oZh#1XJNDC2G3Gn=B;njyj=Q zGt!&R&-Ea#U!g2xiduK;($IHuMkR)DdM`ySbs6cI(#;WC1wf{OP3Ou}R+RRH|G}$- z4fFM7h{JLS;^3%oL6d3{3l;wzWA8Rg1n@C4$iqAQ#Yra9DRxSjJJn>rK87SHg{xmV zv04*glKPtAfaH5yvShwU49cJz1^NrViS@QVWoh1YT(w4cKZ*;rj;=pGFj+3ag0Ru2 zoqcwHZ>3@yr21FQJ4AEpGu6={LzF;J{^;aYNo*&)a=CY#8(^elnQqT_gce)xpLLXE3Nz`(N>tr>9Vop$TXVuG}eA8_6rX+7TX57)kd8F*3r5Qc=p`tNm0BHQOET&7}17ZQ%+F+jjK_-nQ!&M!0ZJo&&ZfH96rV6mGe z=Kpj0Nl<4lzgdt6SDI>vjw_@$Pd^GdrD-BYg?`_Z6RUH}NiDC~0Sz&j38qStVg)rx z1T~(o1Vcn_HlfwUbgz`qmq-7MnT<(y`O_5J6{K7Or0;Bkzo(g99Bn;k4}xs>by5Sj z3Y(B}GQ)d`YTtqilA(JvD>q&;c(+$ZN8+Ffh-yKuC9ecj6TRU8hI^*~1vDC@e7`6m z70;pcLS!AnqtpmWVp1A>fV;NS^E5RFYL}7!lsyj7J;2>}WjeI^OsM3N!<1Q{YN3Wp z-P#gWLDRcA3AKpRyLU;rN@==3)OM=L^#F-}R7uWIO#nsv(WnF?) zCVr`Wn`e=~3uutZPA%0gh#Fo$BlTFA2o=~_$YX`0<)b5xSLPKXECqz}9USmGq~Z)A z#ZXZ#kzr=!-ON)&qiN9Bk&9{KS?+wf>K)8cpw-)BU}_WYdJ;OhVk?%lXvEU%At3tx&v8DS-Y{@`9OD zmp_j>2BUbmx0m^xBIHxTSiE)&S3KQ%QHPA(bWGaiQcloRh`2NY+=ZCch~;-DREtN6 z;CCgfL`viPQ)F~ov7yOMkBxi%9WgM65H2ISNLH{tPwiKhHUpNdQ-T3;x3Ux^Zy>5K zWrCm(*3AS4Ra(xEr6@KoPs0}^mo@P57r0wMtUt8G)3rPKr)rTUwm7D}0Q=a+Q?T-k zR_Qs~p)P|>0Dc%u;=x3k<_mz+Ihscx3a2-*GfOs7rwA^!2B|tQ6;E{YQc>F4fe?B=flLB~yigh8MX*`EUk6N>P$cV-H36@q?8w*yd zW51+rNzcZe)y7n;{A;a>#I>{M4Ez`P;O^lR(nOfWrhF@z=d#mj33wpGOK$Ua;*;b< zcv-G}Siyz`y4Mm}2IwthOB!4`0&^1{i-g6E+Q zJ6#N7*69*UITGUi8m@8B1T@0>p*gI>m)92Gf;VvPKRAs;^J)9FKm>ZUM)Wr!ODgK? zn!s0znV7>;2Kjx)e>wv2wWF%Vp_Kn7$O{UsA=Jbwc_mNxH5nGaCbSu0=( zqG-BjfPWHCj`T*s5giM7kpj92WLXsz2T|D2#jf{RmNfO& z-dSqgzhGPJ) z^jp0A;I^lzbb=e=cK!Hgy2GPU`6%!;P%P<~YxIPC@CLk`P|VZ)ih)J))CIn;k=7rJ zPkxFJe7cqL<;yHpsrP;WYs25?nQzBwH3raSo6oYRqx)RzEl{blo@QfYVu1LsPK{i1 zz}s#`OBCLg1Uw^7KS4_;^+I(Q?>~8t@y5j9ua9Qt8WY0DLXv%iKLrMY_g;kuP+Eq) zDCvyb;Vw)8eu20wk}L|wGoM$ksMeP{WNCfHpQXNTM)5(KgEN;eR9cfFTOY5J&#bRK zZGy!*DOAB-(_PP5f}j%;($zl{BlR$W5Yh>(d5-8Ex5iZqM8XrI^+VeHHZwP7oo^=| zFD4*X@}VRim`pLsutMp<_k(X9mPQ9DtNQm*(^;d^(AzoV&Zt?vhr|87e+_a=I66{1 z`3uCSKpqy-jZcF~wH+si@NT147+0`I?*1O0Y4CS*bRopKl0mugpoMR*S}ECHpPGq% zC;t}d3`V^$;#s=5pUH0LQ<;)yh1TLp>hSB2$Jb#|>h%+6;e|Fc$t{@{a?BZyPe#(t zQB$$6&^y0XEZm(+4e^JRPjobC6a>*Vdr)KDp8I$GDg?L3Jr}F@*JyjJ_)7&PNm~r$ z?)7WqfxENQos_c8)I}Yi*<5XnTFUm1c2Z}MI$gtqk_0*>IV+e5XGub8|Mp%AA%`f* zv;pQ6Asnt>x*s~kj9dR*i>t-E&+6~p7ZZ+{B~M%G=Az;vpA1VTrPUvL8Z(&0n))Ur zhC1kn0Ae6JuL`A29Pk+XP{Cs@GCxIN3o(8TnqKbiKn$iy%ZfKD1yFpP02MU$56QAF)(4;b*Y8)q@ zz;YCXRNK#waEJRE?Ows%S1vS=l{ok#&|S&0F!*AmL2zq0W0(}l*i^1ySZH99WBI&h zCBUUZV_rQLYRg{ng zdZ~&Ce7T7=O+SrU{cc#QFdpBg^3yF=k@knk=;XjR$P5&GSejyAn3zB*yozX7eyfTY`*iOIV1Zi}L3Wg>>5+@-9*O_6#^ zhB0+!;2SGdvnxOv*+1x7ydzd3lhaB)O}zc@Wq{|x#mtgtqV)xnDb<&{b4)Gj!3GE* z_{e~A{vO{so(zAi(MQ)+>j!^~FL1X1y{_7#{uNQ&5r}dYtwC6SyqT6xNnCLEqz}yk z0@+`$W_ddbN+{+N=pyWl-1WHk0Djtf)JlQrL$pOFX;+Fmx&&^bS0_Us$pb`wO49HB z0=1H^OW6^T#RPbEY|$XlxvvUkx;ZQvo-hILgPl~3V7NloOo;IuMY%|KS=lcp^^734 zH$tFauRw;o@FTJjX*BY~55t2j#4=9*91fAa0gW7mOh%rz$=I%9OM|&-yXbkiZ;O*Pj$hB zsrYLnIo1T$ytqG3#fpm*Jl;yKw-^7u10tF#sj_>cx`2%6%uUiKR_XyF9lv9(Mw1aN zx4C`N&3b3!-Cm7hRDR~>6Y_r{GI_EX@;ghMPtK=qViOUsdm_e|uw6Pb26Ylaq{pbB zFI_36M(~pWLv|x^;YY_yi&#+Wrtm7vJs_TXawj#^_>L;uN`1q!RcrvRpia{KK6@xQ z{wvg<1eMgvefa7@Ncj=789{RW=hEN6{U;!%;!0zw!iM~vGfvHLp5ea<6+*+Mov;Uj zAjk8*KNU03YWr4+Tp7^AK`bdt4S*#d|LLRk8UnsE?WuV#WZn#pq97FkqR~Ya4lOeC zexZDtM{3z#q5jV}6k2JS=oZ#(_x=P}M<$&~lDdg#m$CE7DxvMk%(Mp2jPxIpIN;SG zqVzVlLNn52X}mmS6?UC{hNRD(s?Eh#*Bo>*YXuGdWx1M>a5Fc457b56g?y3-VsJfi z?sj4d-NdIR1BaOs{%P(MbyGLU-%C`P>+n_hHI5;vvYF-t5Ha*n!U!9HYp{-i4%Zm? zPehF4kZo$Z)4ew;9o%D}H`mSzR*X`Ig>t!LRQhVenKK35Ql#`n_*Pfngsh_gGE`#P zhs@3kX#QjqE~*t`ha~i@wuyTYCK2FxuQ0mr6OGpedB%FYvevN}?MKSPCa8=>TSG!q zmlRTHQrkpQ4q5l(s&&vmOE9^=QD@#y-CS)W6$1%UDR$U|NLP}WQoe#_mk?3!HsyvB z>`LyQdV?J(p{aR!kHpBuyZv5iQ)zY0{br+&wNt+ut7Hlii+*xlwJz1lihH$Ml?^EV z#IX;Diu$c6bH0&XM82(%HW6zbx_rd)kj~nhJTAqceo1A+eM{*c4tnt0=ZU25?m>IO zUlPyReW~soej#B1@hsK@OPf}_)~i!W(9ZrRbb#>c8g8B0Fb zopa7*@`*9hx%E?-X?%3gg)b&6jrPHMQ;yrg6{M2waKdlHJ*G(m$#YzFjHS{fD@iL1 z48=Yj!bo1(w6>R5n{n03tkgXy?Qj=aSjHDnhV)$E$9OHn4+0k5(G~o1&G-MqT-84H z69~1`td%(DhlwCMQ)8CubJPtt?!>1OWg&lgya)5{l zRAlS{iW(Nm=iB1pu?7f-2vaQ&(*P%kaPsqcUDWjfL50W;q zFdWWIp0?4|_d?#r)>NCJh?eMyc`D>!`F^LpZtNlDpt?S5WkOliGtza5@n`7HIdN-L zD*p7gY5b3cD0BY{CIX+63|@TOU05}?L@D9FS-Iq11j4^b5$udQu*;ItXM4sAR$EDS z4%eX;Lg3CWHq{&nQ61~_u57p=aH~D&Hf&6~J+tC>_1SFM@&&Gt3*xUv7rHq%m79#W zYRmDn&{YWs0_@HaD9j3aN{_`;vAyld?r5o98+yf&)s|s>U6Z}x((ml)>K?2u%c_m0 za|ZFh&^hX+e@a+ZXJBqgoA^p!o~S^0*RIp2r*`Lm_DoOp_bSmoJ%6P0xxe?d+$Q9| zCms3;ugz^!D~WdEW-uDVog!BU(K45`;i>EzRFB(Ph&*~YwN5MX#vkPbrY0Yb=h zG2MmUAIDOcWN&IDgu+;m`cGVp&k0C_$KGaywF2H>1l2q`g(v@a~N(j&S$6V zT{ny{8TJS!ckW`Xzhj=JWxt4B?!Wh*>V6nndCK#HqE5`>~?&Zd&I1P`cGw&*Y&^i@P=NR}v`DR^&)Olt)?*(FC>04Z8OzzQXWNv<6( z{%NxZgB;BLME{L0IQi^oQ0Xyy1>`voK6sELCG!`mdWip}xRp|4#>1s6wKYtgeZM!% zNIn8$}oV!e9eB6fK66gPRV% z`h^&+gpy^ykL^s|3}&5wVirf+A-aduLltVP1{!OYV)0<9(iWA8`79Te*anp7%juES+&SR2$3Jzd(--fNM9^(t-$wjxOUuI!pfWy-!OSlsmfV)N?ajc1%t ztyL)ZF9*L^8o(nT=oFgew#dI=kPru7F7~)2v>$}P)wIY(NM4N0i-+o5)n>$DU|q2v z&tmH>d#vEM#RA~QIP2X&eq}c~G$y%~Eh|~2dnwZyFCO9{?t&o7)(Ph(d!NKn3GFUO zJsi4#@#48;xLUJgqj1&>#L3}Nlkt?QTY{MM%rAp>MmwX3Yqx)p$W*IFnmIoL@1zPe z;OjO(sj8DwQ~vja-gtx3=C=rRgSks>`VM-8G;5YxM%Oyxq#Bilc`1cqUlG+tpjlv4 z{1p5D$}QEVFtU^L7<(j1`3Mb!thRYvawwl%p1pO(_+3k!C3{IKm^j#o;8UaocPW9p zO~T*ozTviKaQpEi+OmpGzuub4yvqhynKu=qI$?F!is#7ZNOP(;E~U~R`p;m-URP$o zg~vFig&#gfcn-CUW_ZqFH#s>jJ(F^E%8?g%=UAbmq|0>x3`0uxZzN$l{V8n0rCU&ou4;-y$ z^=+06>dlhAnfo#ipfRU`1?VKax*H54&iC_Yn4#pDWL?WjewRg=F45f4Xe;avFi^AX z0t!$dP*zuijWld*RLZHt-8~LADDxJnKG%Smc7NmhU@soF@Wq!URTyKLWS5KwPp$b) zoVJrqV<`vquCprr7TW9G>N1(Lq+ignC#C-mvFP(?`VaOudFa5DgRleRC(zl%C5Q*^ z?bjrTi~OFFS`xY+l(FN46y=su$B1A#>8%R;P+BJA>vS$S!j*m}0LAB1v|E~UJuPnY zlo}%p+CYwTQ|M3Rf^t-f;Oeh{;leYN4%hEk1MElU{h#cB`6ykVud_GVWNIDXfczg; z`wEmh%h?Epd#|UV3Z^&#Y^ zq?Smh?co?k%t2BY9JPC1tqo4n%rY%Ro!=psj7lP2zpux$$ZWPchW~mS6pXRw5LjvV zeIrvEIx&xSjr2Y4T(1Lo^>?Z}R$$5(H6QHnjV6Ns&(guDip)G%gG5LLzRS(uJB|D8FTQR(%RJ!Td!UPTeaO02Nm z5z4L?FX6Bgk@2V=69y@i=`dVLL>Q7c%eUDZD~ZluO4~>lm)rjV6-B?|3EnJr1T?Y_ zll?N1WJJtolCQ%l)}OJ-{{E~~(~W@@mPwzy81oJ*JG9$omfu(;UHGDDx{ zW7MDQw^e6m>Gk|PGQbJ3 zsN8BMWU>|d`C>suHf2hFdXN1FO8Ffr=tiDgB(r-b%F%2W*Rr3yAcS1v32d&G%divg z!#PZ#3^IyQMc$-z%%!han}iu;5c0zhr5HzN8e_9{$XLap*EH>a0F7AdnU(@I7ycCa zXbf}Iqy4>q)ak{#-JdsR7-O|0K5-`vX)oFuE6tS9<+9+LSQ=&5y zOI~9sI}q4(i^_9gsV|xu(90i$@!?n!W7MC=hqRmQ3Fn|}fj~0zG<(W3yeD9%P4w#u zh;5RO}+X_$HhqUxHXKbAl+cFM;h=EDRU4V883SHXNK3O0kh%(KE zLZ)*6`-H%u)mf$w;i$y(#opap?pXCly*uHXAqQe0-cYTE6bs<=@xSCR4(~ig+*+vphio!p_1|7q_Lx>wvfmRrns8Af%$bZ=zHAKXj7kX9`(@5fsy0%77ABR+F2brI#aHb zZFgMZ@VS?*N=Ka098D~dp{1GVSeiCH*<;DRZjatta8r3=KxY6mk!eprWFE6wa;w=W zO(EqG_ley~fMtwFn+F9NUwy5yH0S3tx2%e`b7RT|`){+-*{?d*hFjrd9OcNGa}9C7A1SqxW!Al2|(0tlDE-ZlQkO)BTh#i$(S) z$0wv-qP#=#mHV-h`d?txW&h$BF^_SK+w8AW>b%Ce8QvpobHPu?N${Zu>`y^%QXc&z zzKB4H1w2T~gv1ptaAoSfsFex7Nz5G9F+;vWR7$kM?5yJAnOL7*jp7(3RfW=93M|!a zV2RP5ix|nSK|{Y5AC64e63>9|%j3sO=KJYXucp_swEf*t=Bnhq(*yVw_br^H$NoZ+ zFN21^l$V~Pm?o=oFAb8#p1(q9Wb0eNPB0v9(qR7tiNziUrhG>9h{(FJ2lt7Zld_9p zU<@Q4g47sf!t1QkOBC7ck6k;}z{gv|rN3mmf)PC}rC9y{IFNl@5E(|3D$w=^XAdTA z)N0Ll&+tfz<@-ZRUBb0629on7iy#I+KK285Q#$52L+P>nsd8Yc%BHd*2(Ao48=1d7 z?Z7w}zw{)2ToFMrcz;edN70(we$QTW*$eM*^}|)3pxbe$&%+%_6SB=fo;b_}-vnBQ zMe*_GYpMwAueHY%(&=ao6G$lB6uMdg{^E zGlFIYOs(*^@JW#kGTEKHWV>)P={dAVR5N-MvR7$r+DA2(EF0 zyyU`OFb^SeN!Ay~@@NHd^&h+s;zhwryED-XWmzlg+qt`uwx3=CWH5qtyT@tr7lp!O zVO1}LdzBf%vxI(4C}dDHoVY=RM)+ML3}@`)zb8`9E+S0DUlV@Lq)q-(OqYxe3sMO5 zPiywCX|jS=f2rQ6p;U|wh$p(#6U?;+vEA^_IMNhKt!1WzlEY#g9o{Y_%^OjE+3AOw zS)P(O0<7=aQ0I@SHV-#JvC&z()CdFy+nhZQd|%);(5pHx+_a=QADpcO?W->wj;X#K zUpLnr)@x0Cu3{!ox|xG3aXse7fbM8&!YmhsJB5IW^?8j(P|{lwFs~kWXJzEl!R9my!(h ztW3o(8Kdb5b1|axEc6OM=5VDkfIR2_o|K7I#qonjkI7rZ+>nRs_Ev?PcRo6sRV9QP=BM@vV z2+iE*6nL09J-6=m$HcyTLiU$mO8A3o9dkKE!bo|p$Ajt%tvP;pu$Wx~L7hA~zEu9< z0CLJ#C0R=CRC!;-%@Ey(_o65AYi;MTkEOzL8rjtw^}sBiV276^#~>9}*JM8R*lJ^e zGeu&t=LLOl77>g&rml?oun46&IUERo9NLQV7f*P;UDE93Z!+%dQOl-Jir4ssU|E9p=h^2a5x5xQS|PX$vwa(*c|YVxv_s&+ zJoY-6rZMK2^VN3Fgs%S@a#{1;V2jfGq|&V<^)Ixu_=qw;LwsMV^izi;Y#B@6v?-hHwIHu9J$elSWot&*ADMO8_@&OLJW zdT4Eo2aa>}NG}dTgYgG{euyH^!jMEjxuiI{M64v~Jjk;qJ5LdH8+vMop9bmyU`2S& zPCY~J&;1Gp{Q6}EJRQ}U$BwNGW_npuq+DJ}VJokA(?<#***bBFo%~`%>{?&k;@|KN z0A|V%K!apDZB)E3wLUzIWFK!pZS*zGmHwyacwI+bK^Wy7Fg=(63ER>n=&X|^;t@qc z%4qj+a^lMI6iN8)8QJDAfcY>T7oK99SNG7a+2*AS(I?8QC5TnSy?dSq&A+rIaPh2o7Y+C4B}(zC*Ke*0*vEzqgEds72&Yw^AehJCB!Y(6LWF`8mO4DO-o_@*c3 zwMa%5o{?&1);{LwwOU;e77)Rls@CYtlRzM-P`by?>!J-6VeLcMRY?rIhXejy>1mwo zpx)t19(H$qq6BIA?pEF4yT*n6rh+OlL+Pvs_ zy}2n&srVkri?-(u>QMM}=w!H7(2GEJ^o-TMm>N0GO|D=Sr{-_0toZ5HYD1jr|L1|u zb7I{=KDD##Z>g7^n3NfNI1Jd?AAft^wrYE8tblM}tT3Mof5@^FpVHUJ6;+dF2sS-^TsPZEajsF}4J zoDtnQb=T4B%~rqOEB0F8F_aRYXKwDw?2=T?`7Usr6u7{`r@sW97I^b<`SGccTkkWF zJbAmWM>q|+P`1{$)efi=)>P587y^freWgp1=rzjvvgk52S%^!#hNo<_nXR8^MZFA* z2YHw{IqC1R9mku6CPHmjK=7n0B`5@xHz`Ou zpYHDag>)eCko>K;<3LpTh5dv}6Vcxxz1PAvd$-wbqvUX;eTDhzMT*26O71lVa)MPj zk#Q6s!=tr#J~Om#@zWdEr=}0Qx8JY%FO^)I)${=!`8sft3#YyY8Z(jsMkIwXBpRYhl49jQLI<{O`2kgiiEWnTt$p(`X^FNB>&YmKNBBb?e z2X?Ac^9nW6eREf&sd?hdShi9}S?~1m4v#JPPB`}F6!Yn`GZ{Za%hxU~-JtBm`Z%3J zRmDDyD<0ICUM$QbCE=5acmxGXe~mRW?sG{@w$3XH`v87G!6~vWCx5`G@Jc@I69#)n zUOij4KMAy1K-Bk;-!tCStVSH(#$%PTZ1;HqHgkX8B4kQk9=u_cL zXL@mhTV>j_*wOtvfj0lL$-s51s||r7UX2k4WyKuxa7h7WC!-0K%GP%DR4IdL>(IQ3 zMxgpSF@gQmn4i;QmbmLevAn^<#K^c32c)bqTi_b|trWQ_kI&WL1WA*nl1sAvB8 z+Cd-HNaH|~*?wQG*AV2^1YCgodzf1huaH4#a8k8ZzROH|i(~4x5Kw`CytjRnL-dy6 zJ;bbs7iuR%$K`U$gR?AwO8bGYtizWJ`0wN}p*cv-x`uu&DsfAA5@;%V{n~V3aNDeF z+Os{$J&#WXu%wZ~m4w8YM$AIG)?uh1gZ;QXgk6Aw!@p=dvw0WWbh1KG(u1uh zXqN{&0{@a8G1qSr=AgY43X`_fb~xnG*!=}o;S(h1;Bbdq|L;<$-7O61gBhPd5O*^0 z?*|`|m>RIn!GD~-0cQ3uFFS@Nq^#4&w~*T#Y*JMcvX{CS5~|mA-!DML!--eG8~(**ky=28Fhp0VDgO#GGPKV zIe;vwkNgdytuV=~O|m4}G1yR^O;Nh@j0Y5RDC;oAmS@NQd_L3o#SEf1PFBQVduNiI zzrF_AbM)MdKPu)!TBd;3y9@NQwLwllD4;$dlU?iV&j8TuerMh)&r-L2q)Q}F={nz|YDcOx`Kc4GG64fU5D52qC_uH7dE9~q*$kT#aXMgvE zh&b%RhZ*EL18PN|&%_MgcX9(LLm2B#3yC26J+ZD5tcsA+C>MFZboeAqdpk zw@Z^MV-Wa`M@+t;WuU;+ux`Q7&7_4HC2Rk>Mb#!RyM%y?vU;dA4s;GRbx>&Va){W?&7t zr$$uuTW7u=&-1dCS&0)ag%VyXr? zgcCRZ%bw!$^{0zSWjAqAunjya0~ndQx%~h#CH2GJ%=PVKUMR+IsJ2qq=J2PK_`0sO z2JAR6J6p;(#OTheBRSmlT9@I!3&nEytKvMbP=l4EYw`$kvi!y1FGhH?Mwi0`u&9zE z*Xh|oyXCb5#aMNtL~K@-tWzL`H4I-+7X-97tKv zj&rd(0ZbX|Yk=FxYbt%WiG=ZCx{uId1%r6-PvR*c`x5Cti|@+wxWTu0ksMMU;xqD* zv(9^(!o}3l!_1uDuG2Aodrwhbk=^v(Ybz8}^4)X>3sweOMeQyPl0l&s>oU^`?`IS2 zA*e>YpDo*sVXYXi{1ECe!G5=T%30prIuI52)=WZk0~+%?aK4Dv<0QslfWt_LoBl%!PCDH zi{;H!<{Q~!zU{mb7yA})m1UPf_f+>2_Kc)@fY)rc1pdW%qM%o* zTb4_$Bbr;=G9ugEyqHXZ+kVy2c*btsf$yOH+3O{a=L=wVy-2kG*-&HJHAEty8@m|! zTnSD`go-hnbO(r~t}%Ug5)WnfVA?ZIMUil&2>lCnopfs7UEl!-P_J+>lod&BFr_B= z!6~*V#aX{hYt=BGqT#r@+V#z%s_ZH;40R8x!|%!ar7~AlYIdBFPr(;w6>+GBZyHSkA^& z{l<&`UBsEu!Vf^sSewDyNq>`)FfFzLKGV`;rY7~6Wkb;aK=ZLD1^NA7az-+dRxOiy zGhVAy?3Eqp-=a3v1J#_ukL2lzM&L^EEk881-ceQ4B8SAg<)v)a>r+gmU?$<&A~3n8 z1CrT43umz)DZkmIbhMS1(Xj{el4k8(iTaWkTHwG=vdLWeB2-GjAV))>CN7*CkTekw$t%G$``2U1u&*oy5!OD9)48XE4+Add@Jd+ubczxPG1H9yukf6>uKQc_+v;SyGSu zQ;`b-b_^2jv0CI#EO*b{YM9*mnX6iJ6)Es=(JQA(9&8TSrwS9L`29 zoU$A)FTi5qb$r`&kklom#+T@A3#xJ0I=q7CF$=LpuS_}^(_U&QuTOs$S5P?XiBQ2j zyP5bIGOz9sQE{CXi9u!1v)!N^vhd^2!v@s#{)jAsU&~@jAMPRJq$wk&YADao!1(wF z_0|);)SwN*frm+bLdMvZOwY>&?Rk}@G0dM(9gQfSnvanyF?if)z2mTql$L}7&FUJi z9Z-)bk{57~OAFKl8*2*TQXwErYKx&v`bFfM4rF#l&^neSFs{^AzJM)Du?BXAKdQUZ zOQ!yxYONC8*qb!3H<0)ONQrj6d)GTHW2t1!<^QpxIx-Hmz0iM{4b|~)l=quzzw2*1 z*^gR#{?VkALr+ObU@j{oeV0w$OPpn2$FQtN!Xc-gQE!KZXwPBD2%=V^8?}G}=#niP zB(Qg$lon+z7%Av3tGOFV1bWNGn^j1`GsS4`mwnD+iwO-7w8}YU_ySnyxLk`6(QL7SePiH zUD`Xoqf!-Gvb0ZE43cIH`y9C59|SfcX@07BwvUJ06m(GXt5}c&nEx7yUZ1zLOLKai zSuxHJRZv*=?_Q{xyu+X&O+Kauz!Rd(-Mc1K(`5SgKFUPXtw?f{VOJ9BSpnfNStsI+ zJU~fe;8HY*G!Gmu^!}VwW+^Dx!xWF3r&yrhmQsX+H6}WhhlD8d{S|_Nl+hNm{3yj( z0oSpIAK*|aR~+gCIWDX-;i_qjb!!IYRLMxiq`uEe50dm6nY$E`~ca_a4_6T>8BqfcQRqkpyK;3 z;)xEwAN@+gf@*Tk2Z6ohTGf1&h-DE0Gp!8h4~hG}mfl}GdNA!teNSpxmVTi&zWlgs zh(B|xLZB7df=Y30a6a%_@}uuZD`sIReopwl;RvXU7rCE^I$^X)`Mv;=x!2-sI7dK$ zgj%IrjKvDKNYGpeyZu6Q7$s_QZIU1=kjhhUXXsAbefAy=osVI0X%dxtBoxGk$8k!`uUsHC`-|BG)X^Pc~H>On=jkAVK@JlyA2TrJck9 z4`8xXH<9sE(@bRV$|ybK>v7#vTCG^RhsmgyDoe_GD{s9y9gKf-NtL_C!x4Xp*`fWq z5>^sfVWvpO0*c%(HdnE`+5F`$b~Lx7hZ^%Rf@+SFB((?K%mrE98RuBg>C4dS^4vJp zf}5@*4s|<0?2TS4&j9e3nf+oZ?3$%>)B+RC1(r~8f~NwKq=sqFYj%j{1s(KcG@0Ie zDji_(EQn=fKn5>a|00rOpP&DW8l_P*_F@SAvasQ(pce72&@6u9_o{1(V<^N)*9IYT ziR|8p()GNMe_<2PwX4u!rXqw-i+l-FM>?~!^^Tyq$%}>4?PiZq)L`SGdcso}Zluc5 z$7lBlus|BWiv#lYm*Ltdx|k#7hkTd3XXjvy@LM?hg#+#9#b~(eS9VnE()x^bc3RPo zCv7^sjc}~yIV2#6w-&`itE-KNOE%JNS%Af(6q%F|w8Z1UHYy>v;-cU%Q7yPwi2>8{u9lqUHi&OfuSNM3aA9p+p}fi`D=ivepG zkw~k>Yi0+XZ|Xp#F&4fK7;mMFFE33hm$^lv|GL`dOA0{-2;^O<9*K(IAdi<#PNRx3 z5Y~Tj5NhSx@~*IJ}fIIr9BxB-^$@ z0h57)*GP5Mb%kR_k(F@Jhe&BkHS0~59+m3XQs_}y%|zLboa(j{eO;~EvN2U!GrlR^ zu&?8GKgP)7`ZJxMQ3=vh4V_eekf?bY@N4e!Ri@W^vC=7deupZB61E@y=3DR$m0&>* zz)9&%anc!jMoSfQE>L1^+guLvxDv+*nYt1bb`oY7oq>eYe2P82%1244Vo{%p;0kN4 zO-UjNr5yrlMuAgid)G!y27tm=E~m~(_;M+-nEQ_cTnFMw??%^!Y;bsFJ^QCoJKtO^ zrjyx1A{5>D0j8f5sG-I+K}$*C!4op0HDtUQQ$w1{BwcFH0yY>H2}Qh6%+nSLrk1|M z&UepS=m}WQI^9S#{MT{S#=&Oc3o~M<57YB+TM2KRV#iZh=eu`6w&hPxs_kkt^z}9A zF=0jjmc3!!rLcR~^V9?CeZNhb9HnVMGFq|`Zkev%>3)!>$93n4J`RHD5EhaaQ-8#^ zYFk!t)?1SJexUEhx~<2r59ulyK*HN2^C}r)x=v3uZWFesxAb{t*mtoO@53>SDi)S{ zOCy}(2?Y^UXt0aO*U=zoj?7pD?L(@YOYy)f2n0AWnzwuz^^0*pg9_GrD+rPlbD3cg zWDIw}L>B+PNpmOI5~~QE!rP@XwZHdaQI+C(gerws&EbnNlcnu(qxVO(qW3*AnzUpf z^aXmZ0)}J7gku@RXEeB_XW!e!JGIxj7=S7KXZ_ZeTWIAslOd`3uc7ANQn&U za%DO;HuwEgsaJcrk$Uk&Ik)7!6~xrLKt3=9+_73gGw)Be!=T{Df$OkOiSeUb50?C? z_uIL(mB&fdOLvJ|rnqKbDbu^Zi-jsEMD9&Va420D`fq?kR5;r_!q>gIY=5v8s&=e3AWuuahS40!pxkTP68C5D(H-9b1WY#IxrGd5C`yqnx z2^MTD`Ov1{wg1zGhY=Xfx+!_MGiFZA5j_18D>xWeQmw}D)imFv>hB5iF1y`G^H?VU zyzYc~J456(A#wEUH>)|79rSu4OytE7GeIpGfy-gD`h+-ucR*jms=qyZ{yY;h?UWY0 zy%Ji)mCZw?N~FsLECi*Q;rGavp&M#Iegv%L6{KZN?gZvcca$wrvlT~sn;`skxgf=^ zDW2{>QFArk1vXVj4$3I)cPwV4YDvhJ)a-RUJNGeW$OiE6c+n(BJlU<%wqqB9O!@oE zYZK!7N-`S%3A~a})kTUr`a=)WnG zI<`neD{b?ZNLw*{C?z$Sj$zFI7nU_a_Ap_f3^yS0Y@9gcM4y#iZEUsq`gfwyv?=SeljoGh1MZ3EYLw)TJjY^uG*3X<(A zO$z&Vd|uO%HkrweR{^^7{juh4-S?Uq8EI5f4RL=Wh0yMlw_;r3qx!<&wNJok!nHJF z!`E`X*{;n`9(K}nWd|&{-6EU(=}yxtyGcAJJfMQ#N{0}aY54q=k{|-@_e&5@HULnF zp5Y7~7dLzOl?2bhQ1HbjJha%&(6R0AX|<{RtzoH@PUG}*Q@WhJizuXJjVR<=&r+2^ z@XL;0*UG;D<4W~PeEDe&E@d6%9+U=vp~J}qiwWub`D zqjV(?^#6&;*6GU6qaEBVR3A}`7zceOLG)%I{gA-tezix!Xd6Zf;Q5Ye7k!E?d@Te? zsU6-aa?k`z^6VJcgowh>IHwhsMg6ET$xj|8eZW=0BrWpEl&6eQbd9+M4LVfu(#<;ea$}h>V+Ku;L1KCqyDoo*KeZj~mo*NC9o3 zNk0${M+|G8i30m4(psSFCX}d-ho1f=-|qz@x{sd4h?QvTgwmg#%0IVi9xD&un;EX_ zg;lR8SW6)FXO=kMYmF34NFUDF1%l^gkV37iMCwHkcj^|2W$4aNYJ&?EdoCBMVy3{M zttrpK`esgU!y18B^$J{-w>NaUawJ&Uty*$yoRfw(wRqMvzOg*&uuv^|_`_d(TUMWW zoomFHxbYCjQ^*Owe<0f< zPBy&O#<@>7=NS8>2PM{J{qhDWT(eS*&O!lkd8yPHXS1nNGBe6TY0$S6=1ezwT-ME* z+$2dgS|N&P6;8gUJJv|eaZ2R{4~I%QP@0!yffqEaPLuz;? zdfAERJoc?HD_7zUrm|V)hqJF@Z_=wn>M3}eprm~Wuv7FGS%4nnmw#6Hu=_%jyf;bPh+@4Fy82Nj z9;VfBq}ZG9=Zj3lPjC!&ysLTrX9uI$Nf8{k7y~!>S9-XR`W7s(BAKg_0RI~`lXo#Y zcMQ$eWk=21>q37d@%nmI|8N}!?DGibkXPlQ?zOWByGt0!1t4)<>v@#`qbw-EVcr^H zaD<@&TTkNv>OE(q=<+@QgS4gPVBb<#c|F2e0c&(~op{{(7}Jxo4C(U!v;_It0M{2O zcY!|7gg?s;&G;%=+z4~9??$M*i=8bKJx6vEP!@Jzh?V5;c?W|0Z7r^{eUhb2kv>|F z{7SM7Q@YnpQ?iA5^YcpnIbRO`yg9c(YYm`|?d}#rf&0){AsETapcY;SoprfqsW6Qt zdZWjn?le^F((nQ%cX@8^tV0p3l)+KaMf`41hDBCOqIIL#u=qqzb@ggyIZ4+b^4dK- zNIOt^%Hos`AjcM7M>E*cdMS(-N5N$WdX$LggEAf=;oyP*)$4I^LaIQwI~W#Emd4`S zs0hO3;)=w;0MyA0RklJZ96csnAY1chuj5c{cu||a(qh}lm(IROjZ0^EKzpA^f#7ozVhF5n*y!l#%`q>Qks*{GH zf*8--TCKMQ0*o@>)-qfu-m7E|x}_qjp0TYw^Ry1`^m+ZHMsk6OV`BGg0)UB29mk2p zKsMc?HLjxi!EI_HldTcf>gMN{F&l4OGz;Ir_Iy#d4pIkgnE zoK4L!hNBWx<^!|r&2@T)3tRIys!_O-`UQ>KOVgXH*z`HRXor+ceo=IlP35hi>;F^Z zE{RPqZo#GRAplbCh1z(c#I-Dfy|<_97h`SD+qV+;4l=Rd6d;LI_TJ2!?1Pyjt=~}Z zS2&@e)7IFwC-vX^(kJYlU9g(nV)S*Qq0Q|-rId@qs@o7zH-{v}$ot8RIAzc0yD;Jm zW8q5vg4%1ICLm>8HC)%tEoZqM(wJ7=gC(xZ0$gIfHl%EQ5Dr)n9z=VY>IWrtB^nhJ z99wOxUyBM>q1sB1&Y;}#gKBdJ1Y<1Ii`dQNU%TBpApQb`uaL47IKMF+^C|dk7gF%& z$j=~GR)Wn;Vx*Knc=DG4p5vXuMV+f}SMg#gKzN}He)yV{%Z>;lI@2ZMna{2|(}PIp zDcgW^+Tcx#WfNSLa+$dlvzIQI^I-`!k19O{DGaG_#{wt)yxhAd(vve~520+Dta1}w zka*FE-tDy;3x)W#{pfC})(#2-icQgog9$`FI(o0VGTBy_m{0Ce7oeM!N`?KrUS}p5 zmuHZj-KU>=TD-z|n#vQV8-+d3PgUW0g!lw#Y}o3j8z;3xVSi76={1vMW0>di&f`z1 z(#w|Pe zl`tpNcmiZoc29UIszwNB34W_Wg$uL0PK5rYTsqqiQkvulVU$`F1LjqDl2GzyZhd(zG$HH9fi?#g3)d`q?A#=lFZ1=9e55-o%HlvJ>R`gB_Z

6Ecs_tP zuw_+uqGa-0y7W6!7We`n&-N@4jYEhd<`VzM6wvot0)`z>&ZCZc4NOSARCmYan1*pE zyUg@X`%ihd9(5fANOytv%u&r>yj)>G=b#R9DVJ^4hJQJ*_N{kyaKW0H$G;K5=DaGa zQbM{-wnn5Lp5#nVSr-~SkCw(yo=ctgoSnka7mIe|1E0RM+Ol6ikj>Wwtu3KPgA#E+ z7j3Gx%x2F=fnIT63on%YV`&azvKm?iR8I0}3l~uFhu0l#jRJl`bC2A%_2VQ?Cv7CJ z0|HBW>I90MZezzBfxWA z6w&|rTJP^ZZkr5bh{-uzx2L(;8Mblc% zE*oY&^4GvE5ujA1?0Ca5e0adl1rU~(TbsX_6 zNOuS8y81+aot|`;(UXQWrJ%QvFSS|*^>`MY|28{kq+BFRr=rexrcx+(9Fa|4{vmQZ z)Uke4Qa!ARAd!QXlCcOtf(Tz?W|zUv%p!TI_(&kOp(Jv50knhi8g)#_g_tk)rFoiX zSO9|67NPgpix6hpEvL`#=wXj7@{xr z0-G{=m)g47VEXmQd5Hd6J+=WjcyY3}SyC^6Uz338pDexWN%K4N*Qomno12qkto4cn z?@oP62A+dXSo-*V(|&H!Dw=j@gDk6*nQZYuubTH0Y`~#>`2|{i&rZy7TGyqg?*@N< zsd5HO3jYYsD3TI~%oU;~mAVf)SwNM|dQLU;!9aR|7bYF7F+(`?DbXX=vhA+tOM+QR zvF672yd+H=8G}r~LnJ3jY;SjF1Z$oDg6b}ejrTs%(mQeq1bUsV+^`2e0xTF+HB`&v zox4(F+t-E2ikaKV=4R;gHM@Zpg=8{N$BnYx;^!JgWFk*B#?&Wn5WR5+@?ggGa z(;^uW$euvb2hdjcs4V;A2=t*@Lu3fcNN#VH*Xb>B3FC-0Ysb(93T-F9{eY0!%lCj- zr}qjY5RY(J7eVC(a;zi{e7d*FXeD^WcI#A6 zt&XPPW40mI*Vlam8)`8m+K;6^9>pAScz|x{a-{C;D!dEJz9?HQ6`tgvB8-@lYG7B} z>Rs%VLTO%vPTEatbx*xn+7n=Th^40VzBuvB1TOZl1=L#L0zF&YZ_Uj%{>T_@3Q=f#g z*cg9CG$zTyJP<5g8rgfY|I-_Lo-ADE?$_wBXI)GmxlAJeo-OcXnXKN`vg9*lCnoJ- z>Kunw03rLP5l@2P?_u4hdMh>b9ne#HlQ=NQ;fp!Z*fuOKg&D&H9lm6R6Lc?9hYLJD zbDn-^YpCOq%Tt@GtwhxbsTD`8zAj?2sKk z;<0Zg4d@!6NRo-gEtSEN*0J!dSO@efI`;rBk^R74H=Xqph}c={NN`2}#dhv!anaY& z9~Jf*V@kSuO$1at#RbYCx<8&PA5w*AF*X8W13kPhbntz=NvM?k_2a_(0jEo3;7*lM zUAJLsG^xWcp$E%ec~1w@l*>0+KVUQrjBUF;*kY87gpKU5KY-gR9GX0ZMoOC`Bp}zDgco3{NXYNsb@`fyS0lfh;ZAU z_RWN=x)5+rLOkYhXHS%3q&(f-k!NOK=Qcd}6M-zJWqQQQe|(#eKY7dW;*FP5csD%B zdW^C#C%LtnP&wtWdll-{6HK{;at131%j0RHmZ& z$I4${A8w>uvY;S>gHs{DDT)5r1rgWK-A477dHoTVX}}co011(9wn$5T>T#}>JsF=K z2!gmyb`6DU$w~j_oT3~=z$s;2KX3ESE^|DU;htSe~ekMOg=z;GQA;P8S^a@+F13b`tNU6bE}X3trew>m6=^bh;7edUfWRo zP~Z_z>3V0e3!<1PTtdJ6QV5ZJaEdej(#U1cca(7f5X2-6qOZ@Pb9F|@TDiOGzI~7& zy6Es$C2~;o%4{i@&x04RIL8tZX^E9w=SrID)&?Rsf3zeV=Wb%g=$^+EHp{(2n}k~S zd6z;r%sl?;6^7pgN9bI3DHL%sj^3Fo4m z^i{LI7ts~`>~qW-*1b5Bb2;7-r=+ZW2pEl+I+7x9W6!AxqtZJl5b{areA2?yONu|4 zTI!Eb|Bsg3kVqFJ6@+*RAxz$rb_T|KN-9ar*=?#~Uq~OU>0M>5Pp4*^ld0XkdrERO zV`30pCcCz-`8nCOZVYudfXb7K{@hBIGhR%lGyK7;0&cqv(cvV2d4hzMUNu#4@HS6m zZp1E@<1KOmb9C3=+<4-PbbqiGb_BxZcJLD>C7N)ODqnR0A`9D6FzZmN@ovw?KiNV_ zQc*j3(-t|dEcWXjtAZJ6!O=oUAZm`uWa-|lU`s==$v!r%F#U&8Qz6vKZ5@tdaRgq) z?K@#ZO`;M1Gq)|>Q&x35{>Ztr^~pW#PHh`myR#XG$RZ?`Ldu-Qfi7Qu#A>Ul=S;ID zps&$AcZbfd|909$bxnPj94|H->NM;pS!7MkSOnO=FxXA~TCeT_=_s9u`0H$`lhioY z-$zBv_~y)SB#8ScG;^3&ew@_7y-Ojr!x?s>*9>|;3bNyf^{he(+l+A)z=)-CIMc@H zw6U8)o=Hpk*B;_?A^3q*s+(Kc=;_%rB1`}<;4T(7l*qHWyUFfNJ~C|pYyaI3N5Fk9 zb`0|f+IoaN*lmTd9vvls$5N0CT`Zu`pPn2JoBwODm(f#dQ{Ld4(y|FMW7+Pryv1)Q zxpKXy@mCIq3D~@nM5Ei#x)gVtyR}s4+s@lB?recb+Sqd*_Z(oAH8bRX)!kK#)}J(j zK53!fiw#mMS&rwQyje9DG45nrY9V~^@<`^Br>HFGzxnc#bjlMX?KB=K^a z`fnH%zNc3GRaw3%wKvRfwtVFn4ef<6SOEdIS3L0JlgeGw3fNv@Tcu}POzCb>lg?Fz zqa_$Ays4nWaC{xM6q^LLd`^-J3*u%Tho4NRyqcY>Xx0aE`q>Ng!U%m6Pae;0f1Hbx zW{B41fATQgqBTjIz~iL82JDU3eU|7ta9=phZ%NF%`8xw1WRBt`-X;F^vw$ou_}-be z!Au&sRwsRo)@+aQlg$R9b6|txq>tvBJAv8-*{4}07pxOopQrSEtXGiDFJ@aE6oF@i z+iy!(3%&jfq7%81Ll) z<2w0(?`2NY5iyKMg!s>91wX)_jt?iUH53zzx;+zvaKacPAaCR2sNuT#X zJ(@4M8#hn4wtBLwZuvchGE6Gbz*}XozaH({$fy$p{Ok8UtmVSDV zaSARe4GjwP9B(|VnLNlt7K;g5M(``L7=!Ca^tGMWx2Gz41uq518RZZ#T+#I7;B_a#aQ&Nx39Rn?3i&qx__+L<9DA$|5FgZ6&D z08#>?syX;EiLrogubjDM$Tv+WCWqwNsuT|Tk7jOQEhL_=d@AN^O!VBFGI^V9+ucq z%i^NKf54E2=koR=Ie$WgIECMYM_Oh@{c#^{4VMC%(j}pAYX^LdQ)LP5YBaW>S|C@Y)@vm-rtpuzO1?ay(3R>f zW2}RVvv2m_3I~c~QZX_%I=G6)#+z;c7nIvrs~+ILtcYSbi!8*tB}>U)B=}UaB}>Wr z*eC*9?><^3A>}|yM3o!ztd;7lee`%Dj@jJz814c|P|5roEvpI5j=cMysSHT%I{7>A zE|1m$PBwbcJ-C1gf2D#`I#+B*PcnKs1=rcAb!MTLC)s4@Gfv8m)XiFmHP8zdrHKn6Q)KZ|Tx}8k=3o%>>V+jwxyoz0BBJ_$Ycl}{0 zuQ|>|8iua`bNQUosJ|Y1#GKlzuaf!=(D4Nmj7L8lR9Vqq1J46%-Oo3+>+F_*CiSH< z)XB$je%}6S7m%2@F4fMjTum4gS&w+$?w41`%V800Z~rp4pjm44jsB}S9V;*LC*SfR z%Yj)oY%jCA`8@Xlq>s#^RZw0|)egFE zjl>fb9U-G#sjU#X756@lHm#dL$?dy~TlfYxxmynSQXyq(;KVAT3&wb|6|=4ZtcdYS z1O5w4yK^lyKw~#2c!#VRtN!fP_hdA2!L&ni-O_hb-qg;Ice`hriHv25OcCS+VyP!R zk~UeIfUaaRLa@tdN|0lUG8hH#T?M!tLwZq;J?_R!XIV@FUy!+pXU+qsfFE~WOLGJ* z358mjiuTR)#i&U5hC67Q$2~y9cq^azSJ zbk;KZjgZY&I9svU%%pkY2z~xs`vD~P)BUDp*@`r3=*yZx6ekbU^Ea!OFRmiLFVH$g z1I8q{*UjDQ)RGpP-h^d}_G-d?AEsxwe48PByA+0PVPW@s|JlrVJ6~(SeLU8h8wk-I zlkp{z$x6GlR_HsW??N)j|MFE1oL~u_Bf@plp^csx-aoaF6Qkjwziiorx5@DR$-xTp zsv?>g)}d{~|0J38T50VZbK;k3!}61zL`=$f9g~F*Xz}ldM4fVAlBHqnjQFC(o;FlD ztPDTF4oC}(wNu=Ns$LQGufatAIH#~)xpjb3L6IZyxJy@r-rCsnNDh|u5o>g>wU-02 zisiXZPbKy+1@5z}^E3wv$wO&X5P7=Pa?(%=Pz)=BPqs|tW0|Bj0TlG-gW}t(dCKj4 zdtiWD|E4kFQYtRJnJdw67k2Q%n6NOBO=k9fGhZUphl)_bs51z$4S#}xSdj8sKa$l_ z(wgD8Q-;^ggaliR7LBXV6VAwYzx_Hdkh9{yKVi~yOYijNM|=5UigX(#A1zygl~fHzSiq{Sou>95lxRvP=Z6zjEGW4(c7PJW^T zU%wf?5Cbp;CK0j<1*>bIkKF{vRv2v(h&T+A!JT{+^uFg}`GTZT`bQDs zbPz0ju8~xXWC9{ulRL)1FYEVlTBDnCrYqX9=4Y@Z^|LV!E_u>3J7;badd+F`X@!EX^V3Ht|u1EB{JE>Mt|j3Vs8;R;dq` zJe-c&wV~{PNFgF-@iqqke0A7WM1m;p7L)7@Ky|xjOiluKKZ0D`_vjh5gH~RO>kPk8 znc`gywn88e|6Dhp#T;$etuSXaZDM^4}>hvEY{#9Gdn)J=*SvA%gBF*sbwH+fexSkKKV7k1**P(<5wNg4i z*K5b4iLZc=ev}OCW=oDcu(QzZ&v%FDl4$ z0ADHXnk0L`PObdYP@Y59)aJr%40^;9S(pOenUa8n0S`_@6}Is!o0n>^07q6S}qFJO(U7t@JQMRb>SnGLTVl_nNGT50LOx{bcc@x;^qKdIR7Gd-JRp=OAbH0Qg)qJpSk_L!iP*f$w1 z12MfY#ezlYS-?1lDNe;rJdVi%gwiO&Z+}gznUpg0u5Rh@4-iXLWGGS$zkI&6UhZDu zD4GYHL}d)FPm!3cyh9(vFD$c%TU<5)1pS5$XRPaFLg>leNB z=w$|qVWviw>)Y6KY#?SyyFY;;j=}4dNCpcxm#>XNVJxcdlpgJ8Q$|1P))({kJf&sy zVdl;H^b9`oZnm7VxWZXFGe9t{bFo}ud_Bp=l@CYL@lI<4sdvh0WO4nw6SkB#G$DT^ zzAu%Fuv2mVabg|*A1kCkIJ`t}TW+(A&V`cAT2CFyl)0D+!jSL!#8LLDtqkZjGIUZs* z2jk2WpAIIV`Mn@-VkB9E7Q~)e3jVCLUJ)E?T>P}_JPK9B4`zkD0b#o;T83=(FRFP8 zd!8;i!Q+#FZq^=kW2zt6|7?NdO;ft|8t4GZ;24*bW9{#db*6 zZF|QJI}4gyaZ{Heu7u6e9&#EZUh}cJ5mm3C1F=XamacvdT>jq*f!0LT^Sy{bIl_#C zUq3-GM4g(seH(O($Rkq_AA-+lXl6s-mi9fBm-fy7j}4TOH%Mpj!L7B!H6nJw2t<-o zJ>MUfGT8+nUl6#h2OoU$8v-qffbeopW~#BwHmhIWM9ZQI#$prC$SOA)?*B}|oG9T3 zyJ=nzdId+cN;Z!i!|@?VD_AzZcuQ@YVm(5=8Oy@1ccblQXN4NSuhcu$OkSF9Yx;@BVlO{h}vU3pVKbQnhsD(fc`L_iXbL~$vhVKoV zpTl6>&mke-tRZ{j9-%h+qH7HvDR(pJc*MrF5sdOrO>=){B;Glz;wmUCO5e{&$wGC- z>TQ!VgAL0_?i` zUm|V5+}BGr{EWSQBaOoUi>A1}wENmHK?V5E7-}K~^#x1BfFbqg!U*3+gQ7 zmWP__dkE~bBF1-P&%4nxeLnLHQJg0)yLdk8P1&kwhg}ve#BP|bcS}-u&ZaAjy}4M; zSA^VbL?W^T&*qtf;8vSJ>`g3mS1w|p#(|!YH!)l2qDJ8E(@-2hsMqOaSO^P{+Gq{!3047MEP9{MpYcFXs-7<)|g$|qH*%Y`NnGW9Hb|QGW>sxW#zN5WdN%>uBsTqGQr~Na{o`^Lk}s%W{f7}bCLA5K zhJV|*;B~9&0FS4eX`OX)2nM6iIL+2}81*=((;b+M6C!B0t&BhgYUiqOTo(m1RTvG4 z%l@BL=X`P=f3A!Uw3qd$5128=k*cK$6gX+>iwzmpJr)N^O%$Hnu8ElOcDA0ce2gUS z5IfuSD^C!+#O)UoaqyO%dGIorv|{2J0Xe~wG4ef$a-*EtUXZwCn4 zoX6);4~J{KTvXX@8cr8)1^hbE5NM-dN}qu;l85r&)@r8Wjp`L6pnCsR3dL7(-6N*;D+rOeK!vg8#ZSd@QDX|wN$)-P1quNK0n;UaJv z&Q+N81uwTi+p+a*LgBm0_#F zgxh20FE}n9CinOetVdNh0(R1?%4BnHq}#oZ*K0bBKQJ3MTz2O_tXsK|!a942>}o?w*-b+q^AP2PCbE9NVj3Sg4I5wgvt=&!WVYY=KjKU$c^cd#T` zHDAISbvw3V=~?4dF4CIS?`CIABf?`$|5f?6bn7!NJKK}$T~Z|D8%`q>O&IbKBGJ)nUzg37prvOKj^BwH>^dui;pBcYz?Uw>)H~UJ8o^}9rVwrPya(D-t2PmG) z04R0Rj-$!58qvBl=DgKwB!Oa@HtTG?EEP?ZWYcjRTIDTZsM-NjG{b@ix!a1oxkoqqZj#-IZy{`ZtvBH9zyz=*k%xD4 zqPQj34A8tvx?$p*eC13=qqlD|=Bwv-R^yzkK<2^LPwUHUI5ndKh{u*kw-u z2}C|_>aFSOG^w4=8={ZFBRoiQdjZy_416{z%@JlGA?`>HBp_6x4e5qx4e$T6&;W+r zUQ_BjGAooXhjbFspsD-bCrhS7hfn`_M?paEI7gtJOR@#VT6#Ow&G@MF*7HqLezH?v zAPUCMtXXSZhZ03ra*^gpd;xd{`R*XlAD&qT$|OfgeUSsePUrM;Mrw$U%NQd>Wvs%d zi0}n^zU;$N_0ZN#lkGhlAp!uT`+Wy&WI}xI)fOsvShIVS6H%fb0Rh{p{(l^T6DzWy ze_>Cjix}}UN-qTF=)`iHkQ45CvHISWik-;;Q3iI9i7J-gh%XIbW-AkzAG>60}qcVkBloM^R}#f?on>nzP7XCef)NidvDdq z(z=GI+kB%)gC~=ITUVvKaM`b7qv3~~!6)mk2tZs@vaqeD>%iL2hUFgv|f(i z3|t1rXuxSMk~$2OAN2b+$;+1C`MJ$&XT}BIi59Vp-0)-5ziCv^1rDsDi)VUEq=N*G zjM^6Ii>_dtnNjW~%9CZboR6-t{~uni1f}EixKx29pGj;>nyUJ~mTY`MT*D0RoO`<^S=xur)elag2p8e^lgoq8DyRrmIn z(w^j?^=@tYq-W>275HRomdZ4@`f?a58@^(ow*dS^uVt^k3~r*YC1c#l**1A}Sw8UM z`OatY-`~=)uviGegc~O!$ERnvOMn z@>EXxWi$>=WWj+Z+8YE+$gih85UZT>jA1Jn6Xvyd0&i1;>-^iKVl%9F-;C@2v2?6t zMxsS_xo83|y$Jh_IE;*#WKwp@M^ResL>(LCcGr!1)>GYY71BLeX@X3qGyWv+zr@z4 z_i)?QTN31l>Pp%8^hni`7w|O076`WkD25*1#;C|_3|GSPI9<|K*;1cT8`^4=!J8CPQCLKw;g5Cd#z@tD&wcuY&($ZzthQ`|} z#HA1HfaxQa)L&MfwRt#3wp!vb?;cNe)B*}WA#?wDUzCVTXzYBT_WG}9yJ+7f42~Ma(hpQJ#^a^Q@BTa z&xc2I=t3iCFBS|%Y;6Ih>x>Gb1h^4}Lmy(s^iTB|2jJjJ#`jnN34zd(k2jI7@eLUk zMHC{@-8%E;kR~zaTng^5c5s`uUqt}zc1++Qh`SP1mTJ%?ZZc8T>CjCc!Q!fNGXhV= zUBF08^h+xrE426e`KqP*;v08n2J&*nLZ?Znvm*T?P0KRuOK?%1=^9zr#8d?^3JIPV zn46d8>sQ6w&{)rm#&w;ETb$XzcY2(D7EZJ`Q=sc0N?h?`@b$O0>FhR@_%U*2$KABE zCVcp~y%Y%xNp1EzC%L;xuHb18KRllHa`*~*v^9PNwH&ns?)jo?KqR(?4mUiBO)!~9 z+?*3$S7h1yNg+fzNohvzMXM-IXcTRm=G(E7m>l9P!*oqrCiP0)80EQQ?Q>Fnko9c| z`1sZ+Z7kqOe4Lo1#%_BIc!aGHdU=v}3nXi8=3bwU;}pe}NepQ#0UG4a z=60PGNDh=VPU|^(wFq`_eS`o$`*Y9la^s^}5q-)a7|SvY_j`&6^9l!yYQyY6#vN33NY!?4hN&Gc&EC` z+lTq#R83I=fGYTKv45bwa~vK7QOH12GuOLUoK+~D8!Sd5=bp(4mM2Fphq0a z-9j0pF4es88m_8U3e?rNV&h7zE?O1-+qGGB69i$^YiYRqhof_PZ~2X~U2lPRddGT4 zjWSaTw^&P~In|JW0cfx;bLeu|gPVkhX~&vT_$>@vhqbhr>gqk!Vex79!t|O+^n789 z^?VTl{f0ohKhVGj#FY_Pp`axKmO*YS5XqN+j8!hGAO`Atpl77h@`zbgn*r-kUf*EC z#>a5)?p1yu#!&8-w`HW)|&UPpJ>*%PZ`XL-0Ae%5{bNiAB$jR8g{c8l_ z!}12n7ejh(_7t>Ic1{COtHg`#b*z$Ca46mAdI8p0GzRQod~3WmW5ev+n&meI!c`2E#Q2K4=S`ZJOhau{NY9ZYJ*(OsF(QJM7^#Y+B@7^6O{7a4;^;yNeo&3Tb~9@^P8MS}2K zDGu^8Sp!v5dgtbByGiZLeb@PnZ^oezm6px4m+8wfGg8Rtf7Ig_23@_WIr}~29)QS-?FH)D-h`{Exmy%=E#bCZVa(MH$%KGq*|05 z8P~T)kH30Q-q1$gjFt&HHsU3xM1|PIf>W6mxqUZi{~0SEo6liM&F4D{{r*PKD0S~k z=JBu6UheyH?9Q|((G6UJUJX@Sxc$enJ0r7JObX$B@hRcFMGBi5tv%Ybr<0!NIc!ln zk*^lhxXB3{s+%bNV|WJ;p>jyym07gix@v^WtZ20qdG28oGo5ZTCu2{zf{D>;F1|&4 z0hA1F)r$M+za?XQ?sb@OP6PtUZP{=O1YpiPc8g`uZvh%neeUlKIc8M=gyke1Z*fN- z%bLc>)rnxD4SiSG)DHk0eRTiPM^A0+`A*1j1ezPMWsn(7j~dU}b5{aVS@I0eLxeTO zmkGYpmhl-vFq=0#q+8ux9>YXb7mr^^8>RKVKi|l@4Quo#Q%0%Mm(4U#2ALi7^Y2S$ zRDSri9BTQ27%VT{;ue|mQjcz7an;Ier2ih#F(ox1IxeZ$-WXYnk5PH2*a54tCIyP8 z=qYf-@{K(o7b@5U9^u&wJM--(98MBXg9GUS6ia@FL*|aucJ}jSB$@>G*%G!4FIvqM zTM=`i2_0 z@3`JvDFC?J^XFDOZydAw)-34EYv*@#6Aly^Ea5R$~2p60jbrT}ens{0NP$=9p6 z92Iouw29v>BEp!&UH5TKh`l^zZ&g~FW9Q)-h=jLS;|{xU!7YDFFp*MUb}TR3B^Bg9 zXS2>O=yHR}7fsJP)X3C5hPWi|n#n_(v3OFZr3n13;B?cwwF!W1gIs*%*Sui53K-yH z(WSG~!!!9mS~kyOY)Vj>H(n7%B_D|-ZC?E$up7NpUb|Oyk!ywxK9NJ}jg=%^)6gMI z{l=ABZf>`TvzUjsq2;@svlCM+gx59!WF8MbPOTcV_Y|IRe8ZT0g+cf&760-jt<%-U zo^_oamoEX#EYiVsBs@Lq5$Kjl)7!j*J}p0`otKY(8q!D#JVxq2(mK3FHxb-lASaOA zWnTJ6rLwZGYT2y(B+Jp`q*9rl>*1RP=s(E`2^q(}d#qsXVIsAIhrdQ7* zEr&BXP;f8X??+Y(CrvdF7`nM5(i-DVb!!lKWZ0v%ecl~W-#0Ym+FytRTr;Xsgp0f% ztWQ8=I03UBU_C5ICg-bVy88P3cp9WLKB?LZ_9cvRzngTQgVCQw=AE3hFMl$v7co&t zt8)vx;^(qCUePYvxS9_!>p};Y|0B>gU{r{Y{0;VWwad_mQDJ(#7bvI+j^vrd7rCo9 zA_(G-a__h5GctuuF5<$qAE7|a>T&63V*~^p;aJ@7mfDy&yGdBeHdadIQpk~!H*PT{ zJBdSmiQJM+m@ob?4q;FiZW`f&v&NARxdYK8VLGV#i=wdSX!7Y>*c$}4H0ms z*y5*Qw%3g{D(BD0D--AeX~f9hGuThIVMHP!UOmlS{90g^{(=RGuYozOpqvF^Kqt*+ zAWA*>c{o&w1;C`fXV^?c^6UmqwIQ>yE57MSlWwZUa$=&aJR6Y9dFOK+S5&PPMu!?x zxk^w1hSarBmJ4>bXgcG%(rTkTDG&H6;f&Mg>>mm1u*LXbU-k`V#(;!3*b0Ec2-a5q zs(8x|NKdUe^^d@{X-dkddE?i1>Flz4a43vTH+c5P`SjB91NB^&2q=;n&buGMP^Ons zs(+4WzQ#02^5+YMA6?|uG5wM6=FnpZXKR=ysGc$*{_s){QO*w}+nlJvqq{4^{xXix z9Zb%S`qZUx5m3064foPBWj6@FVT?DytR!EU$9`PK0Cs8S`uq@*DBINyMIMoUY0ZLMuKhtB zVLk~-*@u6nDanCPzU>c@7K1!Gfi=m-zI^V)83XzNqY$aI)7#g>z0bETIdaL0B^%%V zs*%kel7D*4xpo6J+I#BwGaPBf@7cDB-O!jcBvCLyF+Y~_9GV;#P#qftHRz3>U@WQ` zeFp2@91~O@VCT0R;9n17uph>kV6)pX>X;mP=yfwg4M2TbFDDZ4@m6#)Xt=TP2Kea< z#1!Q&lbb8fYaeL{9z5T;UrOLpJSVFD8F@Q!ZcW$5xREytOAQC6KTpbH{y>w$eq;dl z+^@53G-HWC4&Fpr_K%@La{IFsS$ zxP2=VjL%O&E}lb7Z2h>mt9I5(QPG(igPBN@p@)LjyKZIFgf+bb#s)_7p%YV(Qh#b+ z`5Zd8iAfi_SaPT}8fSQ%cd}g0>2(o>Sz3E7?lhF!SgQjLRCmNs;!w-1JyD_{t!z!x z7MHONx_{0d`l|i+eO<*43}84ka6AQE0N60x#ph# zv}CB4ZMpkpA=N>dOyETFX3gNLSz(lALt_Tt=jjOI<4SI4DwB82h(Cwd?DmiI!JBvQ zHiJ~O)D^q#C=jh_lSA5DZDlvMM?S=)UY8WkU`+YNg0M7M>O$TfY+c)6ePwZ9nFe-U zCG8FNM?@Ju(yzEe*pXK68I*<5s1}c=kixg6v`K}2?s#h(wCbqtDLprj+$`qz=5>yY zA8x&1l6e=XLRM-QMmEfhaQ8_{pj2m_PP1;X&u%*E%77RZpe=49HVRV$0EL^peu=}TdBl=Ihb)7jksY!ZuXN4#uTd{p89UoT}Y^PGsqz-@M_=bmw^< zb)7!=$aJlpS-zZJk>`vSEj!zk&Ig%-gUB+lRaV&KSOso(D8Z-`JG|#|W38=yiN-qk z;U+HqDMB?rVMSxVeil|%)0L|5J_F)Mm}NN)nGM(DFZP5P=GyXA5c7OCRj+`kH;gV_ zVjZZyGtxHPNABrQ3d9oFmC5^}ur5-8n7_Yi2+f*tnnuo6V|bndH$qGzc`M29Uk#1(74{#;0re&@^=Xr&{wN|!~C?1UwojU^b zBTaRPb!zMOO3Qly7tl3VU-2l;mMb6pJ4t|5RhPn={E!72(3~y?^c;JBDEs8Ce6J2c zkiEnibZYx(+K8{`8G{;N4qX6d0`jkLm>f?t7;QxBvAw+rNqd@V1N&tuYqu>~%_zH1sP6zREOT9MfLSJAc@za&_7$cuz z`or$TF!o44!YT>i?&TDcmt?5sC-V2hhy5^<={QSu_89oct3qpBctGU|`*$`^(f_Y$ zq;mjkxcm#j^bEdd|8GV0K}Zb?@t~6WNgg$81jl24!Ua>G=uktSCsI)lHm~ zf2E(WL+y+kYMa)P;11qaZ(2~2Jc$#8yGnrk5b}@6A?vX}uVJ{QBaGt3rpHhn>QLP% zkIWi2-0spk^AEyjaAHwlv!&oCCgb{5LeD#a1@FK>keG*U} zpaFKk`(&GxpTUL`lc8@`evD_3>z7otga@gV6X7I9Ut*xwiwNYoDkM3@pa@B_q&&>y zT?_$`qcnbp$*3P=XkG00GI)UQC^d;@!4%7ihAfeH^2N)K0Kd)_EV43@NpyR$Jf011 zNG`YZoTM{K`LQo}UJkwna;59Y4<)Tw%)=i@KT{nV9i%cNM2nLI^96_0IqLv+x#Be` z-E`7pl?^Qrw(`Y;rFi&jwCU!~#J&icW;-j+JYK}mHMAb!l0RHqy>*9Co;}%`h5aR8;wOYA@4)gN<20i`JPl+Abo{J$xS$% z+}kg-2nyc2ldE4TB1WJ{Ldi1*#+FbM2n6(5A?uj?yG9>x(FutWw>5+SM=G*nG$GA5G zA?7`y#YJdScsGgH_<}=lPa(lnw+az25CBxZ-WwNNJh+ztqt8n@RkJK1T}zz?1oUfH z-i`C5`YL~aFTP3Y-}m0B33#8J*yoj_Mr9&$Gp;A>*4b%rqCHbJ{sqCzwn~C}#&?KC z9g1X1a%)F{yWLjt%Vf4)s$xo4zArMo9E+3({UsS5O}2G(dAhvitm*EW|04%kM~N#G zve|-4^1V+HS*}e|n(_rP*(Fn&e!)JBMyP(-$NUV?>$DJcYq}^6LbCVoku=iXp?8C5 zJ09bsj67QejAB8`_hgyfgP$wOb8K+0>pOpv&g3FYXk_p zh@u_bw#BuI4bGRrq3--!z7UbxP5izJ{g7bD$Xyl+UR8y)U%=!b>hsj3zhQ^Y&IPhk zPLc@S->%rDQ(FJIKgryNF}NuU-s%aC^mE5GiXed-XoVn13)Bqcrqh(Hd+33T<~-?yuMsuAt)&oQlo*3iv(q2)&{RYmxQDzHc} zm}XnDCL$Si`-U1RjRuctx??xZD9j$Vv3F)beTZ@_v@@AfYYN%zPW58Uob3fkn2#;t zuf);0*JZ_DHYF|AV^0Ii%Ec+&QP&uafih&Ok(hk@{UIga9I&Ntf&&i)8zgc75kI zo%vx*lju@r%LA_EGUYNbr;hGSGUG5r@(eww=lok#ioIrj7ir`CfmaJCvG^uvHky0e%uWW4VRXuC&4Co@L;@|M682y z9Dd%gZJK*bJ&>ATc_tJi_fR`-5F)ZM-1n-K(ho1gT-Y2UmAQWqr2A_SQD&A!%QoG^ z;0y_eO9Vm(2ZU8ug#=w|r8Dx{Pz?EBa$*1`NA!TtrAp9QdQ*A>JF%H?C7GZo^Uc#0 z8r}?)PIL<{cPZvu*dV8x4s>3=vI0I~Vg~aw#CL&*uClL)sccJdu=hRmz~peJyImB! z(fx70XJ}2q$qP&C7zduX_1g$n>Z_p1f25Y!40h$ zO3P|m6o1&GvsYhe{?!gpG)g(YDW0H(yPtMaPyLLtKpyZ}=I`awS}CJ4ELU40@?PL9 z_nTU-M*W^IrnLrh{8cZ9QgC&f#RwgCA@BYgQMV>Hp7`PWc6JxE`e)$Z{-H7eSYTHx z0c4RqgQnsu$zRap9 zdv9`GQsaRchbM|in=00&ZYR>=Y8rkxG{B-%JpuG5QVi=W1z|~*RrcXM{Aglvw z6D-1MW6x7cE-?4Vt0Y00*=)(Nbio`iX5zCcE)eXvTI#Icwtr{m_=(I1&|04Ub9;2= z(;5*74$0S+L?&Dk21tt>4IKfx;E*Fx*OUFcEg!nc^{b<`NCH`Z-tIBguq zVHfMKqWu4KQD5vF<{*pr0)lD42})YfopjR~34L+UB0P1sFXsU`BL~hf<@Xx>A{GrB zdE=_dkqPWeHQ)gE81!{1BkWfj=G+8!yAM~c=(Rq|Ec<9La5Aup#m;~qUzBM>d9Op6PR;hBIe%xVCG4;4%)R&lj&GplNPmGn zN^Ngu_3LzSQqkps{Q86aI}4;z<-dD{js6?o1Fg8s+X=c#lU+u^d$$MaTXxAWA5^y; zX~J9{_TebNssVG~FX5I`zv68t#Ea{hl+4iYlaa^|pGnK<#+bccaw}lG%J;k0=TWj4 z1Edk5_I_Z4qCAR!*q*sNdc~5d@r^y-jCxO+v^XAx8KjtUpaQ!j;VqDZwgk45&vN{a z(63FAsyc9TQr)jlB%f=Xw}3MnR{qkN1=!sBQnRL1-Ts2p%Q?5?|9ydZ6JD8xAs zj?s;N7pi3g744`5==#Kyy?EkqmVI zZ{0huCA(;cSNZHN>^2-+XTMGX_$djqB^J2M8Lw7~Q3)IQ4-0Ox7%N@Hk|W|~$g zKrK6yR`xbjw)bU}+tus*6^u~Q?G8jkle54=jtH20BYSSf?)~?Npk)8p6g`|Lx*XFI z)lt#`UcSMs7IBww_D#EV_Lx~Gl+Y=BTf&;IvDeW>Ij(F07*l5nFE(p||0yE6?a zuKeoeq6*PAJkym%?IS~uRq6|3ZTppif*`6&wQ6j8;cj(A4048d$DGNW=9af5pE5aY zTq}=sh4jc!j0)PY;(DJlTWnIy%!|@NLE(-E0O<9;5BYW>9TwXJ3imn&7%jFLzg1O` zy!nIrWxR3M&fYMfstg+-MUwyi@@4iiY}Qs_?|~KDHxY~@!sE++&cbdw1`0t6x@?xl zUQvlokFM9_S7AVw<^Bw5-vg&)zf8m#KDXP7_6_tCsh9RR^TD%3G0Fw2kLo`3Rw}(x zQ)P&j+6A$%QNf##N9{sILL{$>BPFfVL^Reee2T?lcAG-&V7mM2?viD{TxK^VLRqn& zf|jgaf8BsN!qpFy`&vl&*!`v1sYN&`W&pBD6Gv=k$s$^r7vW}DX3j*sH8wX^K_ZZdc3$1 z#uSe*x{mp93FswgK9*q&nSo%-_Bm6a+T~EV9PfLP6+18)Z~H_)XP-kvs?7Nzw-PYd@F0c*H)PoeFNwQ3QZ5 zTtX+CIyC{}TQ=jq(%0`N3>eCt)DebIC7Clj6yccd$R>=_K1wQou2jQHm68WWlirSuvbv=Kls$n8R{h^(%a4M6s^5 z&QK)Pga(LXKZ(1Jdt}cbM(gY@^fY_VqJ$3q2{xw*B<@82Ow%uB_g;l~K&_;gVLj<< zB90|Bs^NSqby2KABI1NQ|800BQT!wM0NE4IlssgsozrY#NP~d31YbZ3*k@#B#Wi2T zY>gS^Ed0aBH?-_G;A_HWwu#|i6Tlv1nr5vXvMCN|W-QAu9)<=l!drl;!w zliB@}RdIDuF$3)qZ0*Dr;^O431J^%k(|bMDmwvm5!|Q6ePnSQ{1vWFbOqAAI_rA!u zpfX80v5ZLSBR2R{&o!n#r;@M7sYW?%Hs34~T;;$5IL{Nx7uPY5t3$EH=NSDwJ~ ztgCS8*S@wIg!=14SOjJ=eC~aGMmq+cbjt;!p~x#GJp5r6Atf zLr>|qU=rRVhcW^CVX4a z5p|r$dnUe3U;3yUdXE&2h&Y6ZlBNX|_D)j)($` zzpMYRqN158OX4eZ9_c*~aA^W-(a35*{IQY?><@~qIgRXXGGcQ+Q$~^|X+!%J%EO^3 z{s3W7#Gey#RqK$7TAv2Vb1rTxBljpVFi661J7tRhGV#DV^zxmK_x3uRI9tX zg{R48Z^xueS$C^6&K67jygWi$F|hhT-vzr>a~U;*h%;j3`XZRZuQ%Z(FzDr`w~+62PYL9U z@muOU9N+Bv7h58|{V|X8?b2~a1{tjzgvYfXNj`|~hk9qbr(&MLx)k?Oq|rfAeKMF1 ziyl?IoNG>sDok0d${3|$-@4wBP5&o1Wot6C9mTv3;W80}zTkqW2v0E=uN8PX@ti4VTVH}PY{p$YI z0`K==?Pbdw&O18jSTT`NrS?-)xSo4y%x}nujj{YXpPLad^D!T-!Lz~ zbUJ)H+DC*E=-fI~-QwgV8*^$zlpOvX>%OWL^Y9Bq)GtyB&zX{AhL6L(Y_%uvmrLuefBDx)1?tX3! zY=Ed`t~1}C)vKb3vxGjle2u+Pi5`9iM?&!dyg;G|^uhG{TE|PH{J(%S(XqUBL-oL7;zxE<;q ziQ8McSw(G`#l6iNq9ZQmX6n2k?Oy9;iI}IQ@yfry!(xE_L@RwNGV2hJwkfVs8eH%( zG-F2YNzuD{=VT(TPB=2k!0gWt+kaI%ZD2k~XwO~Xvogt>lT9J_{d9!O`@ z(y+kJ9jF+q`R_YeUA?!msKe;=(!{4V&YI0M=<|IaU|-wG4Vx33rrl3>bG`>bwU*ag z)yviWjiI4}=4g6;E{b9U;dbLW$7^22%f^w7%$ldY!Cg4)5`OyDkAi4?ZWhBeqRfIJf!Bu_gP{_sT*nXgk^UA-^H*6IEs)pnH_SCi*MzvWv$BC$F`HVGK|(5c+ks!mL_4@KTr33rn zHoOoWE+#Feq1zbBC;sFx04-k!!_Hu|V&hR$`!b=WeTBNPI&1t=}ew`i1IuJ>UFMj`fQ6GpDdS@mO)K# zwl!4m+ki05_+qQ>lufmv^PKOC$lIO93p6`&iy^Hp4zEC=iq<^B9*!hXk2si~u_{CI zrv*mWyNp<>{ay)A&HdIs@+y1HNP6l3yo1xshG%14DBPrhvPI@gam|v}#bjK?AgmJj zaUgI$3#V}2_YP`VqV#Wd@2a#p2cUn0_Kvfgk?M&fdqNfKH4**E(gqm3nKjFBMK

    l5vvv(+PxI=HMF8`iD29M~5|A*yd7n6v)d9i!SK} zGn9;(oU)xiIplw!douWMQ)EDNGsv{1NcqpgkP~!AFY1ME}R+Z z(ng2!AZ{_6blfeK8IC>sRBAoyyePk%FFl-mbhn-V>`t9sH?VXJ6uayASkR5Mgs(wc zsJBG zzd*YoVAoB4Qw90-1~IUoS3R_|gAz_*L-!9)6!(`{)V2Dc9z0exxVcx~E^LYEJq?Oi zde8vSm&Ed>%{RN_E6Lo+ePS86v&GYMy!xXa?t3Z*_njN9amU41%ym8(7zbu6eOSy0 zMi&0Jzqhu8M$J_=>dWNb0Pw7+AdP*aXQf=8ENxfOKOY2br_>k(Pd*h`X=gZ6deAnE z&e)Y%73WKf;jcjx^2-dvnFn?r3T_dt)jOn9X!l6naWMW!-vJxHN#=CfQ8NBxwK}1r z!adhYizN1{bj4)U@A=lEb$^CPcCdGMM4phl;VQBmu7mxBAg9~B5UTx2O)0Z|&qO#?RtssH3`DiB- ze|oPJ?)MHCjctn9qj3z8rGeWxXAu)BXmDr8S*U`q$XR*e94Fv7V-;(CL1q77(dhCJ3cO#KfiDeX$HBa&+5x1dIbLJUt zfe!tm+YluhXC>4Kdi!V!(0#~8dk+8GqOk5)1&Q1YC0I0!N_OtGDEJajWJdo(1|zK{ z=DNc?OR(57OrGOtfkpfTUmm;rGfsjCTTexCXlj7aVrf%`yQZSNq^LY-tbY3u9yveK z%CixqRqYo*+>>6!A4EZ75dJF?1BoC%UZCl_Eeb7x2>pz=zuiIKnKG-4Q1g8|>e)5- zm$-wpcwmj}DfvQcB_re7lfp2=EZG|MKizlz3m}LFa-OLT)bq!ZvPD~l4REn1*+Fz9 zMYBATAjYDYOUeGX@_lIOL3*%$#+R>ajUZJG2TIhLx4@$BI%0oeXO#hPvJV`Z@YdaF zuaXw=*On8rHYOc~SEmwen}ZJ`=i=!egxQC5NUkzA6kSXo@nH+p>adFq=-yO0v?xTN3RUH;U-<(#KNz zQAI%S*ji1l;kuKoFsgk64$azXPd0~Xwy?TleUo8$W$rS+wdf?-G! zAa5>m7{$@j%L>qq^^H&%uzF}jzZalCK0*&#JvgzEcStb#Z2})k)#2+ZH;^; zl7`e3oy0b}1tVyRE;eqxL&}O{8)IajOCVYpFzk&DvQqv_@%W_JD2&|g@Fdh#$oNWc zB^YtoW;Q#Qi8^sIld(;&9Zad~KX6{+PFr<$E_tBUZud{-j&C5|6PvXmUtFKzeKvKg)eepbd5IZ;Ye!SiQtCjg~h`(mPE1k5Z{p8^g zUEcdQV64fg;UgE*A1ggHlv-kNwQ!0Nd9M(kFKAaiUO=!EZrRv#D04E|n1bKxL(QLU z?9u-m`=|Pm10!$L%E@}TLVPz2i&|6|orKbJCsy4LMOE}3kx*;cIb&ikhNSwfz61i#sF>TvD4T}-KIx4Zywer>R>||xt_4k|%b4HEa z3!`$H#MO#y7*G_cD6i)0aNU3_PqSal#>nUyEZ;6H8Csmtf|G=dDQ#&%%)us5Ix_6v zkx@QMB)58ng|a+{FOh`1SWi6lBfa(zv8`vgZ_6CdJUOsQ%OH_uPzq+$d)TEQ59NKx z8HWEOGGNxA`%A9u8Fs%8Umkg?r8d6@20H35OY!6!j3bDXORMt_UJg*#u36(^*aelq zHZ-BD@F&s5$^0p+FOG?-^c@yLj9C&;_oRc};Dgi~|E(M$+3L9K;%xp8L`)14C2_v% z5CKTU9hJV4Jg`a=4Bf=2Mo&nUfGZdsPGo$6s5%O(#$X*v5fDby%7%MgIxP*Q;_Q+xh64QAZ1S_FI`;Gca4x$M>@M+19$5Vag0m2hauB z>%tPNr0kAZF7Wt7o`8ZX_k5vU4&el)ACnP)SYnNz$2Cbva03I=`pK_x*AjH848^K`Up7smC2Ohw*GZ_+s<>wR9{GS)JOll@EZLWJ5$u zMe)DFBeWEO(LF%DYCQk9#aujWe%<`A*RsE2Sc6|2F(hzx)35}^;E@8(3MIPw;K505p=Kj8f0~zXeMS8u> zBv9yH^Z6k+oPHQI>W+Vhn96w-Lbrmc2IaN@Wr((_YnWUym#hL~pVOhADL9{<&=WXj z<611BxP#ak#}_+P2gftnd#09mwKX!hdN#cavgmJx!#EGnNPNnDkZV^}>*Ls-s75j$ zmou}uF|3V*E$L<7oH==o%`;pI%DZ#ALr#>ngX2)PlQu+62l?!l{9W%95sutQsVLE=2*K5zBx~q1SR3$2rwz6SG`Xb)#1~(sIauRGP~Vv|d!+eTBs)nNSJzvqgOo z^NuD~`=h+oQinlr>^ZKp?HS-k+n$eD9O6Teme#dzNg*MkumIf6+MlGp-QQnCet|`^ z*?^fiJ1u4c8rU;NCXaUl`(a(%*-t~BK!v%bq`_8)8jfY4MTvk?%jw!?8S9slh>xcw zLlUmOY&vvi#$zmsJY=__QxtVrIb@j?ZBTK=}{HWbl2Wk z7N$J!ZPZP^W5)W<06#+NUYj2a04)b*l?ij4}Xv?Jc4clafI-KUScmBNa# z2xMzjR`pteNOV61!hUM%r-37-Yn)FzZ>k&Eb|B)IrEbx|V)H#o9-iW)Y|KTKdZX0x z*;5$NUhA~yjzllLBMn_F*fypj%Dktc{RS=LJu%iP_Ni2`y)AtXb<8-IB0>Sd*viw* z7)#?3M`SXR6wMO8Dt^#bFvRuvACd>MfClmmLFw?I@N8l-5;M!o8i3uhUs5!`fmz(L~Kl<8=F=QGFJ3ET!N?E|fStxk5ZVy-8T5`W`*U)QXdXt26(|5t9NvzrP;?stM z{CN#Ykq|B()Nhlt@R_|$cl8dG?~MHQ$}4T}G^z$pYzY>u^@H`9H>R`8=+uB@N)))y zb1@{7)$=)n8VGW}Mtks!(;(Gc5p2!<>G?9V z-9H7Wyg=XW7HZBxvOg22TZ+M*(~X#+c)*kCv676}C834bI6PY@r(afR;3W0xwDD80 z$6B!>!d86=H4>#fb8avsd7>=HUihVg;7weiRbx%5_Ah!`v<*j944G%XMxZb{Gu{g* z@!qChX4Fs5fb2%(%J6cY;bp24k{A&Twfx9f0rC0+HBM!aR^ipxOmSG>HAO>m`yp_! zwh>-3fBf>sobE5HdzLbPe8>abv~}kQklupy|C0Z0B*dEO?thW&LMXkI zh{1fIduH?ow3Eb2=F{fqKPHt>Zz-Itf(s& zN~1k1y>-^1+tj7Xx* zsF8kYTMvz!t4Hn_8z8u~i7E~GqWMXSXNO#GGaiu;`6@n9>3tJ8Khe4mi1)NhnQ(Zy ziGbb+;{^MV39um)Q--{j0h$ z5K83wz5=a@D^IP)EYp&Yf8!I!P4H#UlzD@ct14;t zw7(Lv?c%iwBFJ&VhPK|lh(tgHX8l@U`3ol0{Zfc_F z_Z_ta8dzlsK7}O@-`FHxAJZzlE-5+6uM3F1_m#1GxsMzLAh{>o7onbvfyr{8pWf{M zFImAoRI*|lXsq$VCrgX*;MoSpD@a$We#W3gTLrXbA}+@W1Su)|$t*v?`;lWAwugai z@xryl4namlXggPA;+=rlhSW>A+dm65rA;=#H^IS&O7RB>;ZZ|Edc#Q)frqEPKw$}{ zSwLO+`<^TK`qY`VmME9+*V(;hZJ?}PdYq0=mFfI|AY%4GzkgfAI;~bJG5?5k8#*^* zep{pgnmMMT{Df5erMxzC{Vt0(Oj`9T|1M{fz~4sk(iH2_g;YwQ#c@pun|Kj7OJ_7u zX~CsfbA>xm8FCU}=HVixvk|n@IHxXl-CkBMIHSZNB7BIwF7X<%S`POcssO$_@h`Sw zb&Z_PF2&-dAx*V_hkb8NtkZJs*Bhc1vz$`-VAx*L-og4jiTztu|iMP6t>WOWWRSMX7z=~14dQV zk&paAQh;@864__Mw(@y7bf8TA>8!T$ED^;6f9q%LyL<+34Vw2)^{*aajNZdI46a^3 zv0@qjWQoCztyuM0w2|I~_;TU?0X{O>h%ZMP)8dnd2&tJ8gnVykBT>Hj5>eMZ7zT;nR2ez z(;tC-)H+~tAZH0ET9dO4YzINT^V+Q=VQ|8jc215mh#cb|sIf6e9aL`TO%~hm>=|dY zaP1%BLZ=F1>V46PRw%+90c^aFjIvvA(`v_dkmN0dkT)F+hmVbp>p{m!@k71y(ljek zMK@Gq>;OG6Vi4BP=@oma3Vm=1K4q*|j}?0v9W$u5s-EUoDW&cmk7qfMjA8>02twGK zgoJ_VUSw@jx!vC$2&C3Y_O0H~$o2)i7;q}z%RU_zp@=}R8j0@6-qt=3HM3_r^C)Ug zkm-#($(LF*uuTM{S=+DV68gqtdrsc6vr{#gVsWzheEJU0-d)u6eTrXX7`wmAy2i3x zFJwt0qu~)$$TLN-{k_U1@Hs)DpHhvZY}D>_sX)KKBy}mJTSCw`gc$}D6f3F7@b(4V zo`*0O*Maaeh;7k?>F-zy4Qqv6g-q z`R@xkV|}I)jD9;|RfNcR&`1jo5LU58-9x%rIO_(H6P&5rKv3K{d~m-MD7mUEf3@Vk z15=&@fPCNCHX|?ztvDIhc>d6~XU#N|<-1HTk~vSb8DM9hRoA^oSkAMnp)$tNBA8)H zQ|X;J{uB{!1i3*}^GGuAD0Y&I==XB$X0=~aNY%rJ`xQCxy)sI6gZO?TethT46 z5Wax(Zwi_;ewEO6$O+x;;0(=FH5Bb7qvL|YqY#BJs)_D3`stl2)`P?{f)tt z(xDad&HE?T&q-WMZ8&z@P#ClYK+RNoNFOSO@k6pvhuOC!!S(&)x|3)e97}SMCbZN+ zstcs}TZ85MSUoM1G~XkwF^mZ!hg{VPSN|Aq5(? z(56QSAk$y`?$%5nw%c|zM!%xNDG=$FUM;{}B}wgx|2vW#t$Uzjfi&PQe(KAe=-KKd zjp>mj9P;^PIi?=msVMHp(wS1`*6(wpcpYqwpRiJZfgPGfb#-d$f}ayF+?g7s?$Et?m4T)VGgX}gA^@z!p%Ianv-i6ws zru87N=f7b*eT%*867TXL)kwpyKS)zeg-U*Wp&m2ijl$1ykmU$|O?ns{AlWT4asQNp z<)VGlmbOdOQEgRoZ!I*AAE3|!QI{6 z-Q5TIu6ylMX5NnsTW3^r<*@36_cMWNo;$N zpi0T;h2#b!%bF=O;h`AGbck+-Kv+H{X1$M@tFEQf6KVe)k$l?MblO-Tzm z&))|pD6=hZsa#-l^-I!T<$5^8(&hBhjzk@y1?10ii!S}5M%9&8ko##3SbI}xnaHKT zgy5^O$mkHNF3IU{@hgm-p1jhRE4QjeExUxxNM%a%V`iU~z63GcysG+yFR@Ls-1PK| z5hlRY(W5ebAEHWA(xf9)NdYD1a`Y0NegE6qKS^)@^T%z?Dm=Uu~I@!;Ilrjhxz#=~tYr)<*Yb zdSZ0s-+Lx4iBUD!dP@t0HHHqQ$vtTLR8f|zN^=!ka|?$^IH#j&WHC;}ExWipKuxQx z{#?i`QCh3Opmk6V5CfFYpk;KWhCFH9Ge6^bJ(TrtQ)0eTfhfB@C)l~9Q0~xJ_z!2F z=gf++RhxSH8A~%toKLPkyFJ>fq&&__cQIuzUjLA%DBhByu^gNv8j7;@*2+`z(u9=f z&?c+Hv?x9^vaBp~J8F=_g)RIkdBNi9SNds-4)U2jy{M>?zl~zQ%x8dA{q`ep+O1lD zdJC>08jR8M;6@y$P+)p(@}3J)@=_Hezmr#yu!!1tnbl~*G&#I=)b9^jFdb=*Hzxh# zMvp2jkmT$4CALx+TUReNOD2NUf_>-d?9)aWH#`0;fJ$x`ZyKv8{)@77s=v(;Egk(e zS6NWwgE+YI6w1a3Wkl^Sxik@ix~TRyiRRZyXNs8l$Tjl^B%4!`b#HP_no#W@`X8Yy zxhmq=s%Rl)fiN~{ZI&>0!*n(9Ki0@WgS0|C$iSuJyMJ5DU{(c^&A*E5;ePY#0TEr% z87g)3)FLZ9$=u`1CHiTJLuXO;Y5_^oS@C@y?|i8<C+Zc{S8xAz2!(w(65FhOTyO6Vc8>U)b|9&=@vOk&nK8?l*a()*YJ z@z*K+s%dbmIg?1NoZ`DYKWWupvZ2{k)>eIz`1doE4l-@iwveOHG^q{YlAG|}%$I;KYgB%P1@Oemb=TIBTGu0 zWp?@i|J3Ai23vBDD2JfRF#}Z%5a3oAb@M_)c3t$*r;WhrbIM=M{On)p4;$0OlFyKb za!k2ftg$lHmXo3yyJaT+_Y_p<7+!%s)%@t!Q+~i@ZU)x>;30a zWZRfzCRvR+B1@_ZhZ#?iMCGD&7cKrhUD+raRL;uN`yl_c4QJf0|9SBvb5u`=TDa|b zs}Q5!5cL37Nw`=Cg3>vsOo5qa?(CfjK(Ev3Gm(clEIdb%Ox_cnE7AIGx zSCtF4W$E;(Nu?q0M#-s-8%<)q7MmQ|8eU|=R?#uXx^12k|E5SxHbA1x49GqT7TrJJ z(l&QzPXUHf@@fkMYKG4>ak0c%+onLLYAE-m*b5~@EY)Em$#)>vy+x*6M*Ztbe?I^{n@wN1X;q$oAo3c z3bc$Z8xXul0~k@O`dg}&KegkTXzD^g}l2ax&AvbN}Zcd%8Po6>RfR06^Pc8^O4 z<^xwIv{vn_u`ji=)fE_jo3lD-k+yWmu`-wD5OvB}aL=RaT$x}ufiCTd6j!aG8L_K5 zSPtG8W5+u-O3l&uV*2c(mg|2FNgiKrN@m-{67_23^DHLyxjZF*8kzH`c-RJ}lT{66Co0)QGIrYD2UJxrqyf{nD>cm5m-z!1rYq&u`%1Mh^@!7VdR96i#}WML&>1meZzGgZ9 z#rRJ;Yx0;p>A~DbH7&YBhFH3FWGSAYxPL5%FxPeQGCe46;jne@f8&VyzZ z<9)Qi*<5t& zZ)vx+{O9!-p+6>8uhL)rfdwp2WC!X9ouFn*?G(eJsj4-Sdb@e3zF#JoK(@i5X7F^N~$z1$^DNh2*5u#OFjmEYQr3N@` z$>cuAeWeE(HJMTe_cP0rf+@SSN@qTT54F9K-PvFjG2F#!;(hwC>P52||woae6 zk~`dCamdo8C?G9V{>sV2hvhW8xa?_J@uJ8oaXr?L(dKp;;g1P4$EvAoF78;0<{NaP zB1Wp!-vPdIsAz;TBlJl&RdlP2LS!*tN+@8)+FOpR?caw$FpXSAgt zY<)W?=QkX1LDgIrM#9MJ}b{r)6ms?S-XsxtOQy{xEnXqZfWjz9`VetrlKT~Md4gl z*m6_n<7ydQd2=7;ha4Ss?P|B(GOF)Lu5cki&zkjLxys+RnoTBnHq7}XwX_^)EtbF( zV$+cPC)bh)P3hX>!B@>rgsE&FZhR@h8mGUow4ma#`iMWdPHJo1?Ol3{4IHff(x_@# zikf*Wl_TX~-o$Exq1fDU>@zQcAX!1#d={ zt*6|k$EX&(;~C}KMG&`5^Mn|-rFUC4n)a0=nu>FK|bVVqytByswF zWEYW9TCXI9NCOjA(x^Y1Jf9=Ei&dZl1I5bVad7?>OQy$5J>;!25&N(rI^t!ww)!*) zS4tX0xk)&i&55{Y7W7GUFniB)YM2B`JF;-(@=oKGjz!X(b@dyH1Z&;FK4z=uC;k%i ztDB){e^u}Ji?zR`+PMW2Iqnp@ixA6V)o;haS))8EjI#)-trqX>`G5CI^q~Xd$}u5| z>&EX-S>xqlC_?gyeML^PQ&~=V3%T$E2QZI@k0i#;qx1_M@sf3Zz#9GI%~>r42bx7# z<1}+oX{A$)eay2{_T6!6u}B^NcNQNab2LR7A$KNHXiIkp#Xh?~*)7 zdt)v}XWq8E)VBZ8iY)YvP4RrpD+rVRsg~4KR~%)m5W$Z6kyWOu8FQplZSEZ#kX$X< z>0j}CWi4m_WZFEK`e@;j1gYm@a;0v)ST|Ri2$8jAMV)F?kC`N4O2}EQQ888}hxyiP zMQdtJ)iOxBQ+rBml!iMSn=je^d_MNMEwXF(e$q4Asg2FjW)ilIE1-*(VuaS>hFgnq z%9v|vs~XfUFY1ta?`d5e6{+&v-0X>J-%@SnF@yNscrwJB%VkII%9N%NSl zkbOmt#)_@P)eW@I#w5Bqsn0ovi|1HAP+aeG8g==;Z2M`|N+8G3vgMP|vO!SZTI{QN zEI{VF;c2!BJV|OAoBYH1xz`Aywt5f5mRhy?t9?^K#YS$LsN*u>wLdvIV4yWZs-!Tc zU4YtSQ`{B7DjR^{DH{G)mNl`(2(s&~S@D47^7oC$S@9r~imj@Uf$<;DS!P#pZ-1^E zakW3uF>z*$o5Ix-n`zR*oxO9?=@T4ZMdgDPKu^cdrbaqlRr~icJ#ygSMl03u(eaWc z`>2X5Un#;OU5CoUJDWBnhiI+EZCk9rD!t>Qc{>-fDTR=z8d#&Kwm#Ea z$UePG6m=#EPxl;BhgMP4komb=GUtdwON?PdOnOk&8vhxaH-4H3y1jZ7drK&@+VVsA zQD$Y?-K@y!M^e}kC1|bdQnYIv}hadooX9)t- z8)wmy&`XmJ`WgvS_&jD+ddsQ|r zI=Ez^N@GZbfJ55t9@UtU%#iiuS*cY!lSrrf%=6?;<(JPbHQb}QjR$36XdTs2RKhF_ z+e*S`PCDV2Egw!enRm~M_hf4u$tGjQh;7AlFhdDlrr~+MTWVLw`1F^VNa`f)T2k9M zvlx8k#|Fc1Mh|=R6hr$dUoxn@RY}W9LfcV%D*ZCkY8fk2*>GpHLgIYU%|bNsO^FAl z2}EgCnf2#YTbnQiMejJ7T*|9+bk5b$V!kNypI)f&Z)cMv@`2gvh7rzW&o1@mg99Hz z4dMSS&-r5(313``4(};JyP#w{nie$=9-p0^Dx|~K6HI*BPG(NEC&|vMQfBv>UBbCO zBm(=Y3N4$~P}u;X{NC_9is`?kLY>}vn4xP&aE+#X&D$L{O@;~8jNW{%&YrFHX`-Qpx_EL?>KD|}u9z7V4|BFS4I0fz z`C^7$7RK|PTv>$6Z|iz)ocPmw{$9dEQl-%j=YjUCe}>nJzG}8=$kU9evM|%mmsEq~a9ZN%;;54q z-s69IQrDU;@2xvWnspIVwO6_cDb|l8e`b`i$l+{{vy_;7ysvW*jboLR5}qsM&B$Je z#q~EUkgsl{14ep!r6+r>m`8P*(R0 z?h_>0yOB}4OB)62nKL+2P`J{kg$2x1)=6W%*T+O3YHCbqt8`{~BW`2{h4*Yk|4H9U z%evoYWVK~$ zQ%Ac^J44wxMi;|W=3MTj=F*(Lys}O%YU83R7-C@v)m2?5_DQWQCrjy3xglfNl2h83 zJ;KB`O`5X!EFljgN-F<>fO?+FH3AiyqgkAbi>K9`sOgl^YDQOIgkXCv}tKIbp{f^(YM=74eE)sMWJkuMRUP&(x1d+Ez`zFkF`FL)_OXa zfLj`Be(6XHxGc(Buw(o<)>&`Ef8-uy<1p4yVmn=00dfsgyLy!v5p6a%QX|;-JZ`Xv zSnR|C%82MgBC-Z4W6Uj8KoUp1X%T&uxXhF*wUcEf)_NcpoAtCIg~hjv=WvBtXU`y~ z;@?m`7WsLiQRB&$BTqJUt(jG^{(-i4YAp2#50ehrJ~m3gk}BZJ&#D^9sf3YRiUj(| zJ{B5Zu=}V^*6?U&ynNJQ_g^3|YBoh7xw52A$;9te1wzM7#D)u^*46$yvOkM&G|@E^ z1ZZiRnyN9=sax9dr}GAXb%xN6al2buimv{(B%Vb1$}d}_FJVmlvXjkR3w6#}ZMMrK zY$=W59;FU=1m&t{u#JmxnRi!9!m?I@DlfzZw^z4|8eMj;Kf^ro@J6*}zI^8SOG}+Z zih4>EPAX%`bhr8$Fdy5}aIF8IFlT4CNirSI77eJqJu}z=Zlnb(qvmhPjwMvH2|_55 z`nM5%lph|m+EVYevOty_Dq6+yFI<*I4_8% zdP;9HL1cB5v9Xo%A!~|se?>cV&20sfZS6~@jx-2N4R_BtK8}_X6^$$$Hcw}-5;#w= zyOF|FU1S}R6x*GnzVb3$;ZjPv0!u0?&^tzqfO$U1HWvoZe*g607wEqA9|LkkC%o&$Dqwl!Z>1^)3Jv|8$OEd$+ z15Mw`d(AqFwHF^2A)_Wm`>OJ~7LFM{$#{Ap-E*q;GUoHzCL^DaB>Js^?KcYSH4ioV~MKtlepRkjbR+<(|W1q_#D^>|yt$Ru1W2cQ@H-bG+6B zpU>y+EA17W|C9U~u~`!f(t;p~04zYNJD;EHF(rr=!jC#(m`c5&otAlgiVb&3sY+vS zp4M6~4abMpO(~s}j4Y8CdXiSUBp&(8?V?vT`!qhsGiZWBM3sTlhh|)2$5qwBLByw$ zO4DN}jz8xd%hrGyXtdeG#)ipa5zCY8wOC=x5^epMRam)q)vzml02B#GU*hB*W; zthPGL#2LE|HxmUlQuZh&2`e_SJI#d+x+a==ydW_izgC%BESsthWUA@!*Gghe(}02` zt92>7+ydc5Gs-3HxDTT>{fx!(EU{c2j!Yn0zft{AOopt@7Cdi1t0ZjjYe-8fgY$fQ72+oo)RpWQ6Vl4TVs?qcEL|*{4Ye^uz}+!jj5)AiJ5=yGYz_G$(j$36G)VEsp@0NRo^Vq%R?Kq4*fSf{3P71wvP(MDjt#T{}Z zZj+FeU`EQtAP75L#8;w7u)9!M+m zh*=lbcZ0uAA2wXPQ&ildtvQ9w75DJ5l!D3j|M8)mWIE^*kTMiL7UQ>>dR1hTegFh* zt%uDs3>LZ$HM^*IH)}-CDJV#ox&(*+l6qopCnKzGf;;peH8O9=&tE7Jq&4{I7CD{i z2=A-z(Nx1~>Ao&YUCe$Tu63& zWuM(y7wep>xT0J@lK3;OA1mIdDy+1gm0u26^2=(XXjRs%%TButl@J`^>@<(I+LURt zw4vzWieX2KW>sE^%5v$R-nK$ILPyL;?dh0QF6szhMrQF&cvPlA8l6^sr61xjh})<7 zZNtS9nk>yZB}C>y|1KSBjKcM35k9<#C6!CxGTD<$F==gX^wcEsXbt23U(JBl7pOj+ zizc&61UIA$jq5Oo-J|y@vFZde{eF;&*-G1y>6Ub-<%OCV+a;QIm6&*0>f#8u1k;hK zK&W5FSm@#wa4NSbtDeC5%F5?MvYL)E4YC_}Tl;{4?TwYY^|@}Idi?gekH4F0sc&El zvdKt<89k(wdY2sr7vL`xJ9Eo4mdPo0SCiX1%4sj_ToZ^ek~2X+>Z!qo!)?Lhw*2O{ zJQGEddRLz80`bwbw(F`F?d8ytuTf>N0PWU9_;96J10ai(OIDHOs#d0%~N0%4^$B z)EWvuDygeYYNED}->C~u=P$a?2 zIsq16c6N&!=g~ghTWv+P=G!~CC}6dqm;4liwB)JEv{+OLeo|J&bfjWWs``2DR+3lS z%@g;ZCgmHa@tnBAk)B3QC+*B4OV0M!X0?C@w)4AEf>M=PSHAgu)haC-=hE$XFD4MB znYNFTju~s-|91M$@Y@);atdnEzT$V7E#+Cw^_C;%m+3Lh+$+cYq@QM;u5V+y)xgzL z?${XTofe}-M$N`Fnq~`=L|T8e(2Z>$z;pI8;Sf)I%qY17SC-=SjX6U z?#^CRqiQ#vS~n9fk1}d3b`vD0)^zKS6Z&y)O2i`1{!QCLn)lHxo7%*dvu2oEWjTFm z-p-X8J7g3KZkO#Wr7>h(vm8Y)OXxE7Q|ZcKufq7pHx>JoVxOo~ZvQdyS@M#^<@l5~ zYtn2~MipzmcFzW|<}H3DG$}3@6=iLnzk1u=J6tzE)&k`>P;(q7s>oTXNmLsV=UJR% z!@E)V1n!%BqJ_F-kHT6Kz;#lSrnQc>J4poLuO6cNC2PKG#L`Px_xMI^#A*eQ{Vk}K zhjF|xR=PjnA-6ZopU5j21%8`LrT|)b!@7C zke*G_?kgwUlFX>6P|oj`IXipi8BqABc}0h^4r{S%%=+`jb5Ibu>yk2DDIw<*xS}}m z1l!utefp0gtXi3}$d&-j7=N}1GnMmG6-G4q=IHE|;%rj=e_x(WAep97+aRpbv8vp< z9N5Z5!YLl`%av>vA$7}g3HSG)Jr^@7lddn3*)}2e{asvKO)Zgd8Hzh|(2lithZ}!< z%t{BUw5ruhHDt1)%3ykjNNSrnhT^)m{GB$!yPtteQc8LvSJbk#`Ef^!x}m|5XZ^_N zZX(I6NIC-6?G-JJ~qqU@l{JOKgswOC~H@xsXoLv`e^q#Cev2lBniO zj-*p7fhh6SiOyJ%!mD4Ts+c3NYs7N=^7_4%b2xxsBDHM)ZByuSp)0YisqPq1!mTV?W)NY0ha5`FT1`F-vCc>|N@}nx}OnBgh~sX4~zq zr3!X<&kV_JF^I}BJ|UE(KIJwQ*YkQZx{CX5JilalOhYwF8r5R(oJkuHlt~4S%TZlf zFS_RR`Y6e+E4$`)*hD8@#fwN6-L7QovD8d5>R~jLYss4NHnp(UEo+kKF_%&xYpm-i zHAo-xyhK9hw5wS@!LXJi;!W3k;^`eK+lDCRH?nk>eO)qOPL^&xs6Y48@M(#+$siYO z(}<@8ozJAyPNo$))lZCH$@ZE1v=|M{oeW7wPnHEvz_`oKwYoFgN&w4r%N@)E9Kvuc zJ+fWNNX{v)49lr?)mq)yFj40K7kmjRq*FMD@&YFydN(4CT0Pnc66r80KUKK=Td+$(69U;qd7VA&JH3j zE22?if_tqQZL| z)9w8sRBkG6_62*+)$YxD?#Jb0LDNE>Cdz&2{uk4$q3lZQcxkkg$Fsc}m1s{T)je8Q zEQ|Gp(Q3Eq0!a}%kH>@>#lsrgK8+lF@>XhHQURTVmgpZX3}*%x9B0~**cXwz#*TYi&pxwXc`uHSEom()ezN&0#m!xT9 z0n>OX4v3njr6z&!OO;(I$Ucr5YMdmQbz0{11H8{%*>VGoGl%TP6Xov~fFjZ!QjU>i z!;H@7rKXo8ppqs)x)28z8grq)#93>sk1yI=uIFg6TyvB1;*c&OkubMqU9DB(Zc72r z^x}j6kakrDf)BT;v+(%2CcXPfDtIZB^oLF9V-rYI`Vwu~#3Pl8Uq4rH!s4BMB%`JK zfh|Icl~arM%_L37bWpBTjeE-q?Rr=RxXoCJG%CkS){#KsoHH= z8VO6&prMLbdjHDo{j}an*vajjN3_3005Z9sa;I*k;!zE;t zEV$N|@;{n_LBi=sXGyalswl^4`BQXx-_?t_u@1^GmQRo&yEug`QmfpPQ`ugFO6Kam z7Io@N6{38@ESa9aJW94Gb3 zBW1-WM@;)Ia_XM6j*lY5(35STlaI-?r{mNl>~exnj4u6$EGAS4f{x5}*lZc&*mw6x zP+@wbrVmN4$W+qa1&QmW!=V}_SzRS<)Wk9OqOZK3KD^Y)-0EGKeOcGb#Sf)54H{J1 zX&unnrxqTvHLO6U#y_$q+|E@}xLAT5ei@^{vC(kL=FMgLH}X=ZQDfOu#wj*(aB_)` z^-beMW;2~caGc|_{H*>UD^njj7NqTLq6DlKRl^eQ zJWCv9j?^#b-o-$(1e68}f3W-0U}hSv%Zy)GFKKxyqb+|#qVxB@Om`Vxsz)29Hp=F! z7Wfacka$>a4Gpo0pD^Lstt6RW-qp^P0q$`}{uo_cDk=gQGx56=74#(!l)pbm-rMz! zb9Nbl_nXLRA06k^j(iYW<@@j%se?*Vw(S z*LTjm+UkRc4j$As{8AEGHiR!Z$?egzH%UFEHtd@P_~SHfX-Uch@tlb3%-xteNeoDY zp*_por6jKnMz#2Ekm#RG2tFz1n{S=Op<}297Hg&_ zWpG-x>b*iyw%Jc@9r!m}yzKZcEzl)B!um}fLhf@*EE(Fl$K0-@@qd$_siDHJ1Bc4D zZ0?*r-Vc48GD5nB@5}Y!KOtMk*Wi&R(=k7g~eyNsdWxr&t+L(Yee7Nl5t5}*%(Nem- zoyk6MM2GaI(|oDD!m>>AG|S-8e?(ci$dvqdR(DnH6$^F&CZQCg_SO@N- zA`_-O=haIda_VXv`I^Nw4oFJ6!JE^JD`&Gj3D=k!x(t=oJ&7tAX(02W8k5(R&Q4{M zgCd#_kv=64hAiR!%QS1Pxlwqv6n-|e*sxbJR@C)4SEL}O(3WSr6tR?7&Px{-+NRq% zOqzs?H8sl=YhjC)QdQY3Y+^S}u-(nk$|R{z60>*;NO0##U`4N$E}5V5Cyz{$V6`>n z*u*oxqYjKuLt}dAV2w%J)2C=Kr8Bj?!+Ab<)yrLfO$~UGE9h!9P5jxO#NYJvj>IKf zTBla~*Y3^cVCz-lVpXBL(W*3a54kvHRAx4Lr6?)HBTuw-s1i_r5qc?M#6}xwq?Sy6 z)m$mLMDUnLwQ4vZJqJ z1!(*y<*6<=YKDb7yVVcoauB~w`0paI0@{U#L$=Z2h$o}nlzvD*7+usVOI#?W)IA7h z894Wlm#IxEIYFmO@Z?)gW1%vaXPUFKcLr-z!LjUgCU;SIr?3V@x0P{?j?Dd<|6!<& zJs#81vyN=o*ZQ7psgf7QuW%oj2*r+M{w-8JAzOdE>(-#^pPV?Pz93eU_cP z`Nmw*@tIZ)24qn;o8>;(>N>lMPqV0ulUV5LZc0u{HYT7NQp_#25>#EW+CR}A59raetUPDRONeWt~=Pq$Xcf_CfNb+lZVR8Q5P2W$gb&h?JwJmKg z^7fbK>+F*V+<&#LO0e-jS|PZ;=|(S=w(A0T)i>N|$*bpx&$#b7QwrQUF;64JqJ}5# z@hQ8PzLX`3UTDb_U10&}VWS5HpYLqRx6P^Kf%dR-?-Rhvwr@UobHq0*RAx#xg>~SCh;IdJ(VWj9Mr^cEg*Sd7i%J!l_pILA z)M!Zgrt3J#yObk3Z=9ZATdkkoi`rE21u|Z zcd3)woWzeZ!j2R(8!&WG>e_~N&RM;^3bZ=H(bkCM=U2|vH3aSq=lDg9H3MO*xRBDq z-50!MkrN;sZ|L%1i)q$0a1VUd?wxaIOxDx(WZ9I!C#R76N;~DS_JJ2z-b6ri9HI{V zl*dZjj;fN;IFO5?(W4k^?bMRk8)outQ9-mOHz(Tz=%Ww*+8 zZ8I|*m9xwF&0#p!5;FYOG<)Y<(E|T$#^ZTy69sO<6st>bMo}q>@y^Fww%J*&_&-H+ ziUUufShSc(<|q5a9H&7}PQ>*v(6Y+>g%I1ZomCU=WKh{VLn=O1r z<8*I(9cjTfwFtZ0BgH?GU8t+Pu(?%94(ZgXmY`?*b@tXHHjW!wz}RB`CJm}fenk2a z`9gDPO1#3cay8;e&GK}o?yYV@iQ^iIf}>?SHb+0*g2b>Fc;uV#`>y;1O2OIO#e7?t zgCc%Jm-TFSp04~TG;BZa(vA7K?n&F7G%d9O)l5B4SUO1$Mv~x+174AQa^=OI)RxIY zRtiwIy57C7yfFGpN}DRx{6+rV>J?K>$at)j9?#}e_am`%8khI+nKE3)wOVSX#`ylg zwgwGt6a94NY}tjEcGRY)*knBcN`Y&C8h93mW*MCc5zkD}wZ?ncyA)iEu6lbu#;i1z z$GV3rSsKkh%b|oUv#+W-r_PE*N@QrJ3K{kmRRU~G>iB~dS>0T)Kh0kQ;}*ebP=1mYPUQh)(HukDyv)hM?D52woiseM@#f0fd^^w zY&~un`3JRp^=7?~WQ7_M6Q+4cB+_vbS2W2hTl%ynh2s*5>sAccnUPqFw%-{aT+-RH zSq+;znGZLTgM7%9?lDM0l&CK+T~ej4H{)3R(Y30a=a>CCqAR=Waf8rmb%vhe>tC`e z7^8Ai#Eep1ArNEoUG8zI{i#pe_f%;ArsoclgWdJ%sk+AK;;|)OdgEcopcGqHeCQd%b&fyJY3ItI&;)qy*YM zfvpzn?CH5Smv&DcJi)+qsQhh6aiiTPgu;o&p;M~F-#0+W($YEbFctYR1WAdtc~Yu- zo5Ts`s_5@{IW_y#8P9+3)!D0rAgjItDTa(NSX^AHEJ%O8aVYN-U)L1NDKC?7&O&s% z)E3I!A!0q9elo~Lxz>0*+#0!!#jn;VTGrA!kVz}avD7!u%99~R9v}8QmK4p6D-YCd zMp(V}iy3=$@i%A5_4Be+?smNkCuQp)u`u-kfBu>zCYNyly^`0xL28yOJX)x?x}n~# zo0SGUCH#7JsuN3}j@_jlWs6?XARba5j<+b)pfnx>M{$a1Sti|?Wi_oFbl&=fRH8pS zqKGy0OJqhHmddEuoX%j_H!xsm?C}7&n{;85NN|qQ5R2X_oeO+xVQr82;<9N}8AAEN z^5(id!;%7YIHyT0J^k!RimzB>Vo9T0ORVB5@p#_KC|Qs6;P$GU?8A3h;WN`b^yjQr zRu!ReulJl+#E67DLV8^4@kw~EUT<)^FDjKQhv0_#(kOKwRT=}z0p(tI@=OtT$i&!H)oea?}sKN2XTBdWN8Ccez>OMZKDJ$)`%C3K(Kb?C_pTIv?A6Jvr z=Spo7B#623cS(<=#j$I0)nf!bQ`5|^XKl_qAE6BC`4zt?={2|3-E2ET?l%Unl-X=e zzsC}UnDG~HafCeWTKq6NeunyPmamk1M_1X0Ni!zbBkWbIs9ES!zDrLj!*mz&MxAKR zWHo=vifQAPPgeTkw@z#*vwrwX9wnCIMKN{5NFOU3Y82J7Y=5@nYFUo_E@nWsPq`0bulu0^27 z>pWRRlw+X;^z)QE1jpscRiVJg`fz|3cVAsgt-j|)UPwOGY)EH~SUkP$lCE=z)o4u9 z)GCNKgVv56?R1)Vqve;b!H1jG)AfSP#QWrZ^4Bx)dFm_4;);&o?_sj}duK7&CQM`) zdn_ZFm8AglYdZ{d#ISDT{;1U<=aOEQ#-~=oy}Fy~$~|t4@wwmJq2eUbOF7SAenND5 z3qT`^l9LuNX&+WJj+snJ&ofoRF6nt~*Q_Z``>+}XztUT==-*4qpo}ksHeM^+zm)1i zWLXk@Sxm3BJy@ZaT;HR)pOvkv9Sf7eosaK=^I8h73Yo005%5R5gNd~lt#=|tuS#sA zdQw&5+L;c+i#L31TuH9?d)jDYT?C1Yb2p~DDk39}(35eSXHIW$)zsV$**Q*V0*6-- zMXMU7uDgLAa!Zlb=`VAT#Fl()AnnOlE8oa(={-{=slP6OnncK~sOhU6?UIsJu6j9X zsKi5_$0PG~c8ifY%mJcam1bRv|Ac-i(t6p%kQpWznH>>#*2p439TTr80`piFNT8FF z@}TfPO_(ZO{yjo64NyD>SC_azUy`PoMDwgKqx>~D7<97;i4us_A~%hJ!gX%3)g?GW zrNQ$sHf)mXG!Jpzq^h5O)Cj*w%2uMSo}hH!79gu7{jqc(i`yKPu~^#>ucpIaAP{Vl)H(>{ir(-HD5<&! zI;r)@@-q3Wto?<|g5p3c*WSdLl;CxI8tZxF%@$2Ro=+LDUztyjq9_g>I;v~h-n^_8fGU& zi|U#75%Rxsq!K&+QMyW*yG~)jC|ad3_H93jcDZqT327!(HbbSe>{`KVBKtEbx5C5= zl-4w5yR)JLl#Y1vCP)<%D~jI!#42O0q*Kt~X^biEr^))71H{;6 z@s?_*bJSYMO5kKqsydC|3>ryci;t;%>92eirSi}R7jz3Lm2tWKNUbbCx*t5lZgYmJ zA@c-fZ9wu)x`r>u?@QrGYv8lJohdbn(vyp}R#jGO`HE|4X4%Cg>(O!|GR6G)=eT`3>g$WX`ASK7x7`8%l-1oqCu@n@nEZm8 zGv6ovrH5;&;TdmLOLH!7n^Uu|=;oeS9K(O}o$@|1H{Y|~{h51vGtJY=;0<1lid#w&&fG(Mf*`@ff1XyU69a&C-M_h(_)nxG7IS9 zf^zvwrrVENtd(eKO$ED)z@=!&Kd#p1<@x{r{Jm?$a+TMuu|!E7c*ZjRn520uOHsBA z)G}F?<5H)tx!p2cOh=zf?{c@22a=~G+4Ix4Ue~sO+C@D!hg2w5vTz1vLN<4}0s)K#aqwYyaR^*=+e;u!?w5g#v zhdd$PN)D8cG=^=aQjY5&GaS1oH%t;m2o!($+2KmtmE63IxjIVtqTKBn+$3V%-QxMS z!nJ6c<9uFKC(Xy;UdCdJz;9n%i z+ho9RSTJT!gzv$MIR*?Z#&mnD?;pOl z4P?gF*Sbg-m2xO=LkH({WZZ4cM*&l6e2FT&DvK%_sw4r?r%G=f$~uhlLmQ94mpkM1 zl9z4-x`a_3@*~Ra_>kwvGpVX%w(XbTK%RA#Be;!Q)G@YMMR!#G7HKE^uD&yQQW4K5 zlT%3|63LBYr5o$D94Q*W3CU8l#dUEWzD7m=ub6Za8p+u0l(je%?<5*hL)V^7Gc53Z*4bdirI0hxJg##iAcgxb!i9p_L))= zSX8EawdP2GfE0HTve?|24XHbxvaFk`*X}~IXrEA2pXC30AAv9rJ<1k__AA+f$m3=# zF^)qy{-Wbg(YcQgFLvKJA-HMraGhgSlK)sPvQ_S5JQnWFseB2gLrrI?*YCO@-`-gswfwZl8m&bVmF zK{xSBB7wK5@L|ddtMHID^G>7R)wTT(qffuxXheg)&F8w$Bi&rAnFh zM8^tkNw#s@{b_TRLX~0e=%0$)nUJ-|@woS;Cbm3-$N zHLywl!-kG5bYCvPtzBzpEKjG6iW5RTvqO)K8f)l7=mWBj0D+y8pivOLv zANB5BC~3kX4M`C%+P8L$G}>lG4DR55DPF6mCal17x;dtxD^zLjiLv?IsT^QGmM zim#BEz_nytwuw; zL`Qdt;_e~MBN-qob6vbYOD4aW-$S+=t%h?lneg6podgRPTmqIO6ZuL%+>+FL0DZZZ zbEPXr)=%nQ3203fClr~@;+Lv{Gda9{q?)GVBuFT`5tor5CUtW)iHH}KCLUfGL^t4e zA(<32iAQH=jFOQ?g2uo)maS4ZA-|LX@%{|SrKWgT%Q>i8iwBMZrbAKXZ1IFsLt9U% zuo_%; zBNVaA@KH-x*@xAt^NLI4KQH5^XK|E^QRM2gO16`kwNJadQ$-Wnqs8yW%}*7Po$ll_ z&6!Zu-J9Io7OvzF1?zua-GyUEDo9DNc!I0VGGI@MJg|pn?(EgkA_ie}%kP_>op?yR z!1|q)YLHb3_sVNXrCF>~FS;sGM-5e}52BoKC6>6eyauPYW}=u4Q!4k;7&dAtGW7N0 zrzyzwZM=919xg~ztaoFo==a|fovZzPV|ule4q7)bjnrl|)mj1UK}M5Xr9)Y+;G>zU zs=?{IJNf>BG)~^UxZgOQ;>uI(T8glLE?Q9YnDlY?EKU>+H-a)pQ)A%#&RN{iva?DZ zExFnoZ1D1|7UGEO&y!*hR5K^*QlCZm^Q=?8 zf#0C~UrgFKFWFUzIzOtViHtH1$|tgU6}5eoeOEK8KXvtVIQs^a#q~tmCFjgIv-4*O zchqxDLk*N)m40M91`;mr;q5HtQR>=C9^8$lTkUKKY?d37DK5puon?#cjjE5+<@1)l z*qT6=B))Q2c>Stw+0$RGeR3k3iQ33v&Gfe<8<-R828&;(-aOTf2EG{YlnL(D=*$4I zC+br*12#*nmcNScsFawyDe<*N>spYfw4FMuy1r4sRm5+mYqP>Q3fuaa5m2 zX&V#2YR1BOJT;u_#b9+8-ikUuNt(DDG^Y_=D>`FF%vO4GHvBgg$GjvHst}cn_G~;S zd!V_H<7X1rEWZeDlmO;&I`D8eRw8e9{;zaYsNz3I$_j3+lf9IoH;>}MTr#24++0nK zH&Y*xtsKNsBWG;DCFGEiH-ml}%^g$Awg5euwZ%1`x&jYsQK>#tb?0grL;-W2Lc--U zPfPR6>r7-P`hdS^)mkdnhRxpDw?mjuUPpWZx@aaQmDWY>@~M;`e&CL@^;^iUl4Ep} zT2L)gwXt+wy46lMgMp3t@-3jnD}Q#jy8@mg*bc zHQc_JrFGau5jr=<@Jacst(k;u;~*~L^`9ofpGJ$UG3%z-9&5=pjO*Lk+d9+2H6-F< z{j_ezgxFce-h>on{pRV!&1P9Wfa>fKB(~;3W{L7ht(y7U{N{~&AvhBC^b1+YRckE` zm{@#OORX(>$h2d+NdhSYmWyYx&fc|1E)6DY664jukL2w#xz$wGQu3CuhFBfPj7g`M zw6NH3W-S=4`O!?F;XTyg1s~2uB(bmNuC=n%EYt`Eqa8q_?u{ zZlYt!+^eFx&r?3rQ^P5^nz^ITH6%FPRbs4_LUW}gpfPn$<&dhiNxo^@g*%tc(mXi- zsnnan)&Jt-`g2W87ab}d=K>?Uv{t@Qfl{(gWz}vQMW)s&`)>I>ZQ>@CiG32$FjmlI zng-(@pf1Inab_|(?JSQH@6vHI32)iNxtc*YM@b)@oX|2khFI@oP&n&bO9oA;nsvkP zqcVD#Q`-el*(@~NX~HU_cbcr`1e$bH^?U%9p$$U3Zkxt*feHahi(P0~%IZYRoj zrfZBZG7|Az`ZfL5qxaw~;$`J)bYZ5U)0R`_oxxeu`+OE0G7Yi<(s; zm*#X=yk(5xjJ-SUT{6`~e!O4jJZ_5n%}eM13Ja-VPU%t+<%zAFgu~|7cEYD;oG;~J z33ydL`~GYMDc2ruMBp4!m4$ZmklH(9MmWzodgvvYXwMEA8w@H7rCKP;PTE%_OXs+m zJ38kc*~ZN(Gks(<#e7g0W0n4^4D9NtKitonD2*P|)!3tR?(Or__HJ3#26|H0$z97I z+_it#ag4co35n_a^PW+f7#GIcxWZQ)s%whHHE!zvP&Y@3{H-LB3#MwS9wOQt;~9JX;O z>Y4ho{PEAEwrjcJGx&zXyrXf+lU;7p;I5;Nto|@#=M2NTw%l^d z&HwOE`Oombw0G4XwZToDe<}aW;J@84Bf4WI%#2yk1G8c_%#JxQC+0#=%#B{?jd{=q z^I|^q#r#+R3t}NGj76|07Q^CL0{yTgmcr6l2FqeOERPkiB38o6SOu%1KL%hR24OH( z!|E7OY44Y#(w!jE%iLJ0Tw!ya84%=e~ z?1-JPGj_qQ*bTd55A2DN*b8;2$0&?O1IA!18qtJt7>{O5Knq$i5qo12+R%;;OvV&U z#Wd`LeX$?*#{oDH2jO5Gg1_NV9EQVj1dhZ}I2y;G6UX8>9FG%lB2L1|=)x&D6{q2J zoPodNOq_+YaSqPKc{m^czy-Jv7vW-Df=h83{)x+R1+K(ZxEj~sT3mw1hI)-2k z48@vQ3&XHB*1@`159?zCY>2;NBW#RKuqigf<`|AGFald*D{PHzur0R3_SgYCVkhj3 zU9c;5!|vDvdtxN^LLKTc3Zv10F&K+RG+`XZqZt#>f>un#-k5|ow4(!)F$GgG4f|kU z?1%kv01m`KI2ecEZ#Wc(;cy&*BXJat#xdx`u{aLL;{=?DlW;P+a0*VvX*eBc;O{sS zXW?v|gL82n&c{D+0WQQvxEPn&B;cnc6dvPD`#{+l}58+`vf=BTf9>)`S5>Mf2JcDQP9G=Guco8q*WxRq{ z@fu#o8+a3M;cdKwckv$H#|QWjAK_zsf=}@oKF1gM5?|qKe1mWC9lpm8_z^$hXZ(Wy z;8*;H-|+{s@Xvs5m=WDE6K2LN=z&==8)nBGm=klMC+0>k^u|2sgLyF@`eJ@8fCaG- z7RDl26pLYTEP;Ml5=&ueEQ4jS9G1rlSP?5>Wvqf#(H{da5Q8unt6_Bv!5SEfHL(_k zVQs8~b+I1S#|GFCf5k@F7@J^IY=+G-99v)nw!~K08rxu7Y=`Z!19rqt*crQESL}w} zu?P0VNbH3=)MFGzqXA)Jr(1~Ml9FE5cI1wk|WOU&aoQl(MI?lk~aVE~f**FL1 z;yj#>f8YXKh>LJBF2SX^4FAOCxB^$=DqM|ga4oLG^|%2y;$QeTZoSeN zC+@=CxCi&*KHQH7@E{(-!*~Rb;xRmqC-5Ym!qa#L&*C{ej~DPFUc$?G1+U^YypA{U zCf>r^cn9y|J-m+(@F70J$M^)F;xl}XFYqP4!q@l)-{L!bk00aX_zl0~ z4@Bvo0o^box??8Hj9JhFvtl;PjyW(V=0Z=*jb7-DdC&**Vm|c6{8#`BVj(PyMX)Fq z!{S&1{jemK!qQj<%VIe!j}@>YR>I0y1*@Vz24EltVK7$1>KKAGFcfQIEeyljSO@E3 zJ*J(o8pog$$Kp5~j}verPQuCP!YMcvr{Q#*fxqKSoQ1P-4$j4SI3NGO z1-K9w;bL5ZOK}XuEbTi8rR@jT!-s%18&5>@Ne9Nn{f+n#cjA9ci>Lkg}ZSN z?!|q$9}nO`JcNhw2p+{_cpOjQNj!z8@eH2Db9f#v;6=QIm+=Z-#cOySZ{SV5g}3nz z-o<-(A0OaDe1wnj2|mSV_#9v0OMHc|@eRJkclaJZ;79y~pYaR+gJ1C*e#am9OLy}h z-7q7%V->SO5!RAuNnVuqYP8;#dOx zuq2kk(pUz|VmU026|f>!!pc|$tD-*!U?2uzFjm9r7=kr06l-EF48z)32kT-ztd9+_ zA^wVuurW5lrq~RdV>q_J2yBV1ur;>9w%88aV+ZVrov<@@!LHa1yJHXRiILa~b*RTE zj79^-U@RKZgmD;;W=uc}S}_rOV-niXjt)%56imf5?1O!=ANI!qI1mTnU>t(K;ZPig z!*K+T#8EgJ$Dk9(;y4_S6L2CrsL98cg$JcXz644%bvcpfj{MZAQU@d{qWYj_=R;7z=RxA6|%#d~-k zAK*iLgpctFKE-GF9ADr|e1)&^4Zg*9_#QvtNBo4J@eBTgU-27$#~=91Oy)njVMcVv zOqdz7pa*8fY?vK$U{1`1o|qfG&>Qoh59Y;u=!^NW02ahTSQv|7Q7neVu>|^INi2n> zu?&{Qa#$WKU`4Eim9Yv|MSl#yKn%iQtcKMw1Z!X@*2G#EhPAN{*2Q{Q9~)pp{1qEv zV{C#=u^BeUaBP7Q*b-Y|YixsUu^qO@4%iVpVQ1`uU9lT>#~#=dBe56iP>)dJYK+ycnL4#6}*bq@H*bWn|KRv;~l(<_wYVGz=!w< zALA2ziqG&lzQC9G3SZ+Je2ee!J$}HC_z6Gb7yJjm;y3(`Kk%2C&3|;mjOdP;Ff(RB z56p_$FgxbJoR|weF*kalH|9Yf%!~QZ7xQBQEQp1$Fc!h0SPY9}3G~B~SPDyH87zzC zusl}4idYFNV->85{uqFP7=*!C4Xa}a*1%A#iM22cYhxX(i}kQRHo%7XD>lN$*aVwm zGi;9G*a9Q4CAPxW*aq8TJ8X{~up@TD&e#RJVmIuLJ+LQ6VlUL89-}ZC4H$#5Xhajn zVLX~K0WE07MC^@8XhSymcaTpHA5jYY@;baR&a5GjSHq#yL0_=iz+(0~g>zT!f2p2`t;c8riYjGW}#|^j<|H8j<6K=*WxD~hIcHDtGaTo5!J-8S5;eI@T2k{Ud#v^zX zkKu7VfhX}4p2jnH7SG{%ynq++5?;nDconbVb-aN$@fP03J9roG;eC975AhK`#wYj` zpW$u&mfuUFvYhf7H#yVIR>tTItfDQ3iY=n)m2{y%M*c`*L z1x8>?Y=y0{4YtL0*d9AzN9=^1u?u#^ZrB}rU{8$1UZ_JoMqxA>Fa~4Mh$f7~cr;@I zTF{D#*c+43hIVvdGNxcErePoKi~X=a4#0sp2nXX3{0)cVFdU8}a3qex(KrU3I2Om@ zc$|O}aS~2O7f!*cI1Q)c4E!Bu;w+qvb8s%s!}<6JF2IGj2p8iLT#C!^Ph5^Ga3!w7 z)wl-N;yPT98*n53g@5BF+>BdrD{jN>xC3|MF5HcKa4+t|{dfQm;vqbYNAM^f!{c}Y zPvR*&jc4#Ip2PEa0Wabuyo^`yDqh3ucmr?ZExe6)@GjoN`}hDK;v;;FPw*)|!{_({ zU*ao#jc@QRzQgzU0YBm={ET1lAN-2n@H_rM0{k0#?LISQ)Ee zRrJRI48$M|#%fp{L$C&hVoj`tVOSgMU|p<-^|1jq#9y%yHpV8{6q{jl496B2fi1BW zw#GKt7TaNa?0_Ay6L!Wf*cH2BckF>ZF%o;B4)qv?(P+RJj71}wFb?CeXuX~!~Qq`2jUYZo#d%4Y%VC+=;tzH}1i`xDWT^0X&F@@Gu_1qj(ID;|V;8r|>kM z!LxV{&*KHWh?np(Ucsw)4X@)3yotB)Hr~Ozcn|O61AK^&@G(BYr}zw?;|qL=ukba# z!MFGh-{S}Th@bE?e!+k6D}KZ8_ybAqnE~A}Bf4WI%#2yk1G8c_%#JxQC+0#=%#B{? zjd{=q^I|^q#r#+R3t}NGj76|07Q^CL0{yTgmcr6l2FqeOERPkiB38o6SOu%1KL%hR z24OH(!|E7OY44Y#(w!jE%iLJ0Tw!ya8 z4%=e~?1-JPGj_qQ*bTd55A2DN*b8;2$0&?O1IA!18qtJt7>{O5Knq$i5qo12+R%;; zOvV&U#Wd`LeX$?*#{oDH2jO5Gg1_NV9EQVj1dhZ}I2y;G6UX8>9FG%lB2L1|=)x&D z6{q2JoPodNOq_+YaSqPKc{m^czy-Jv7vW-Df=h83{)x+R1+K(ZxEj~sT3m%z-&E7kXlD^g?gUgFcuS z^Pw;1#{yUo3t?d_f<>_y7RM6khb6HTmc}wz7RzCItbi4<5?014SQY&-00S`ygRvS` z#}KT6p;!}ZVHnoNI#?I$VSQ|X4e?iOgpIKYHpOPx9K*2%Mqo>9g{`p-w#9bX9y?%1 z?1Y`M3wFhB*d2RdPmIJ~s6#zQVKf>r24m5PCXB;)G-Co<(29xJ8idVFqB~oX9Ob|#c0MbmT`<{0u!0UWTr5cX-sDZGnvI~<}jCe%x3`$ zS;S(Nu#{yiX9X)+#cI~DmUXOW0~^`IX11`EZER-;JK4o<_OO?I?B@UnImBU(aFk;l z=L9D?#c9rPmUEov0vEZ&Wv+0QYh33BH@U@a?r@iT+~)xgdBkI$@RVmf=LIi$#cSU1 zmUq1810VUsXTI>2Z+zzmKl#OP{_vN7{5PpL009X^V1f{oU<4-wAqhoj!Vs2lgeL+K zi9}?g5S3^|Ck8QzMQq{_mw3b{0SQS&Vv>-QWF#jADM>|Y(vX&Pq$dLz$wX$dkd00k*TVTw?cViczYB`HN|%21Yal&1m}sYGR}P?c&_rv^2tMQ!R( zmwMEv0S#$HW17&EW;CY-Eont-+R&DEw5J0d=|pF`(3Ngq#cl3zmwVjj0S|e^W1jGoXFTTxFL}jl-td-pyypWS`NU_w z@Re_T=LbLe#c%%bmw)^>p+5it2}EFm5R_m9Cj=o0MQFkhmT-h80uhNsWTFt2XhbIl zF^NTN;t-d3#3um>Nkn3jkd$O3Cj}`YE-8NHK|2y>QI+@)TaRrX+&e1 z(3EC0rv)u(MQhs7mUgtK10Cr^XS&dpZgi&yJ?TYn`p}nt^k)DA8N^_QFqB~oX9Ob| z#c0MbmT`<{0u!0UWTr5cX-sDZGnvI~<}jCe%x3`$S;S(Nu#{yiX9X)+#cI~DmUXOW z0~^`IX11`EZER-;JK4o<_OO?I?B@UnImBU(aFk;l=L9D?#c9rPmUEov0vEZ&Wv+0Q zYh33BH@U@a?r@iT+~)xgdBkI$@RVmf=LIi$#cSU1mUq1810VUsXTI>2Z+zzmKl#OP z{_vN7{FlrVfPe%dFhK}PFoF|;kc1*MVF*h&!V`grL?SX#h)Oh~6N8wF-b^DGLn;ml%ygxX-G>t(vyLVWFj+J$VxV{lY^Y(A~$)+OFr^bfPxgFFhwXz zF^W@yl9Zw}WhhHI%2R=gRH8Cfs7f`eQ-hk+qBeD?OFin-fQB@pF->SnGn&(amb9WZ zZD>n7+S7rKbfPm|=t?)b(}SM$qBni$OF#NEfPoBRFhdy1ForXNk&I$AV;IXg#xsG5 zOky%qn94M!GlQATVm5P_%RJ_@fQ2k#F-us=GM2M~m8@blYgo%V*0X_)Y+^H8*vdAx zvxA-NVmEu(%RcsVfP)<3Fh@AbF^+SBlbqr-XE@6_&U1l_T;eiUxXLxIbAy}Q;x>1< z%RTP%fQLNdF;95PGoJH;m%QRNZ+Oc)-t&QveBv`-_{ulF^MjxK;x~Wz%Rl~0Kt?i=nJi=_8`;T0PI8f(Jme)G`6)m_3Q?FM6r~u&DM3j}QJON8 zr5xp{Kt(E1nJQGJ8r7*mO=?k_I@F~e^=Uvu8qt_0G^H8MX+cX`(V8~2r5)|*Ku0>! znJ#pt8{O$aPkPatKJ=v@{TaYO1~Hf+3}qO@8NoS|UJKW_S_j$lW9`Tqb zJmneBdBICw@tQZhg5|8*KAR&oJOcIikjO3&sC8HNAm8eV= zs#1;W)SxD{s7)Q}QjhvHpdpQDOcR>YjOMhUC9P;p8`{#2_H>{lo#;##y3&pA^q?ob z=uIE`(vSWOU?77S%n*h$jNy!6B%>J37{)S=@l0SMlbFmDrZSD`%wQ(7n9UsKGLQKz zU?GcG%o3KejODCgC97D?8rHIo^=x1xo7l`2wz7@w>|iIm*v%gHvXA{7;2?)M%n^=q zjN_c(B&Rsd8P0N!^IYH}m$=Lou5yj*+~6j+xXm5za*z8w;31EA%oCpSjOV=IC9inR z8{YDc_k7?ZpZLrdzVeOl{NN|Q_{|^w@{j)#_yZ7-Km;ZTK?z21LJ*QrgeDAO2}gJ$ z5RphkCJIrBMs#8jlUT$i4snS`d=ik5L?k8&Nl8X>Qjn5Vq$Uk%Nk@7zkdaJeCJR}~ zMs{+LlU(E`4|&N)ehN^KLKLP5MJYycN>Gwgl%@=2DMxuKP?1VhrV3T5Ms;dXlUmfK z4t1$VeHze^Ml_}gO=(7RTF{bKw5APhX-9iH(2-7brVCx^Mt6G9lV0?u4}IxJe+Dp+ zK@4UHLm9?!Mlh05jAjgD8OL}gFp)`2W(rf8#&l*dlUdAW4s)5ud={{fMJ#3sOIgNp zR)oEPH>V_oaPK? zImdY}aFI(~<_cH2#&vFRlUv;84tKf7eID?TM?B^UPkF|3UhtAvyygvWdB=M`@R3h^ z<_ll>#&>@3lVAMi4}bZ`f5kfj5RgCwCI~?ZMsPw9l2C*u3}FdJcp?yyNJJ(IQHe%$ zVi1#9#3l}LiAQ`AkdQ@0trU*qTMsZ3|l2VkW3}q=tc`8tmN>ru_RjEdGYEY9})TRz~sYiVp(2zzn zrU^}HMsr%wl2){)4Q**hdpgjOPIRUVUFk-5deDAZhTiM2TcCeFO>}C&p*~fkkaF9bB<_JeQ#&J$?l2e@K3}-pVc`k5~OI+p( zSGmS@Zg7)Z+~y8Qjn5Vq$Uk%Nk@7zkdaJeCJR}~Ms{+LlU(E`4|&N)ehN^KLKLP5 zMJYycN>Gwgl%@=2DMxuKP?1VhrV3T5Ms;dXlUmfK4t1$VeHze^Ml_}gO=(7RTF{bK zw5APhX-9iH(2-7brVCx^Mt6G9lV0?u4}IxJe+Dp+K@4UHLm9?!Mlh05jAjgD8OL}g zFp)`2W(rf8#&l*dlUdAW4s)5ud={{fMJ#3sOIgNpR)oEPH>V_oaPK?ImdY}aFI(~<_cH2#&vFRlUv;8 z4tKf7eID?TM?B^UPkF|3UhtAvyygvWdB=M`@R3h^<_ll>#&>@3lVAMi4}bZ`e?_|j z5RgCwCI~?ZMsPw9l2C*u3}FdJcp?yyNJJ(IQHe%$Vi1#9#3l}LiAQ`AkdQ@0trU*qTMsZ3|l2VkW z3}q=tc`8tmN>ru_RjEdGYEY9})TRz~sYiVp(2zznrU^}HMsr%wl2){)4Q**hdpgjO zPIRUVUFk-5deDAZhTiM2TcCeFO>}C&p z*~fkkaF9bB<_JeQ#&J$?l2e@K3}-pVc`k5~OI+p(SGmS@Zg7)Z+~y8Qjn5Vq$Uk% zNk@7zkdaJeCJR}~Ms{+LlU(E`4|&N)ehN^KLKLP5MJYycN>Gwgl%@=2DMxuKP?1Vh zrV3T5Ms;dXlUmfK4t1$VeHze^Ml_}gO=(7RTF{bKw5APhX-9iH(2-7brVCx^Mt6G9 zlV0?u4}IxJe+Dp+K@4UHLm9?!Mlh05jAjgD8OL}gFp)`2W(rf8#&l*dlUdAW4s)5u zd={{fMJ#3sOIgNpR)oEPH>V_oaPK?ImdY}aFI(~<_cH2#&vFRlUv;84tKf7eID?TM?B^UPkF|3UhtAv zyygvWdB=M`@R3h^<_ll>#&>@3lVAMi4}bZ`f5kcj5RgCwCI~?ZMsPw9l2C*u3}FdJ zcp?yyNJJ(IQHe%$Vi1#9#3l}LiAQ`AkdQ@0trU*qTMsZ3|l2VkW3}q=tc`8tmN>ru_RjEdGYEY9} z)TRz~sYiVp(2zznrU^}HMsr%wl2){)4Q**hdpgjOPIRUVUFk-5deDAZhTiM2TcCeFO>}C&p*~fkkaF9bB<_JeQ#&J$?l2e@K z3}-pVc`k5~OI+p(SGmS@Zg7)Z+~y8Qjn5Vq$Uk%Nk@7zkdaJeCJR}~Ms{+LlU(E` z4|&N)ehN^KLKLP5MJYycN>Gwgl%@=2DMxuKP?1VhrV3T5Ms;dXlUmfK4t1$VeHze^ zMl_}gO=(7RTF{bKw5APhX-9iH(2-7brVCx^Mt6G9lV0?u4}IxJe+Dp+K@4UHLm9?! zMlh05jAjgD8OL}gFp)`2W(rf8#&l*dlUdAW4s)5ud={{fMJ#3sOIgNpR)oEPH>V_oaPK?ImdY}aFI(~ z<_cH2#&vFRlUv;84tKf7eID?TM?B^UPkF|3UhtAvyygvWdB=M`@R3h^<_ll>#&>@3 zlVAMi4}bZ`e?__j5RgCwCI~?ZMsPw9l2C*u3}FdJcp?yyNJJ(IQHe%$Vi1#9#3l}L ziAQ`AkdQ@0t zrU*qTMsZ3|l2VkW3}q=tc`8tmN>ru_RjEdGYEY9})TRz~sYiVp(2zznrU^}HMsr%w zl2){)4Q**hdpgjOPIRUVUFk-5deDAZh zTiM2TcCeFO>}C&p*~fkkaF9bB<_JeQ#&J$?l2e@K3}-pVc`k5~OI+p(SGmS@Zg7)Z z+~y8Qjn5Vq$Uk%Nk@7zkdaJeCJR}~Ms{+LlU(E`4|&N)ehN^KLKLP5MJYycN>Gwg zl%@=2DMxuKP?1VhrV3T5Ms;dXlUmfK4t1$VeHze^Ml_}gO=(7RTF{bKw5APhX-9iH z(2-7brVCx^Mt6G9lV0?u4}IxJe+Dp+K@4UHLm9?!Mlh05jAjgD8OL}gFp)`2W(rf8 z#&l*dlUdAW4s)5ud={{fMJ#3sOIgNpR)oEPH>V_oaPK?ImdY}aFI(~<_cH2#&vFRlUv;84tKf7eID?T zM?B^UPkF|3UhtAvyygvWdB=M`@R3h^<_ll>#&>@3lVAMi4}bZ`f6X}p5RgCwCI~?Z zMsPw9l2C*u3}FdJcp?yyNJJ(IQHe%$Vi1#9#3l}LiAQ`AkdQ@0trU*qTMsZ3|l2VkW3}q=tc`8tm zN>ru_RjEdGYEY9})TRz~sYiVp(2zznrU^}HMsr%wl2){)4Q**hdpgjOPIRUVUFk-5 zdeDAZhTiM2TcCeFO>}C&p*~fkkaF9bB z<_JeQ#&J$?l2e@K3}-pVc`k5~OI+p(SGmS@Zg7)Z+~y8)lSKm;ZTK?z21LJ*QrgeDAO z2}gJ$5RphkCJIrBMs#8jlUT$i4snS`d=ik5L?k8&Nl8X>Qjn5Vq$Uk%Nk@7zkdaJe zCJR}~Ms{+LlU(E`4|&N)ehN^KLKLP5MJYycN>Gwgl%@=2DMxuKP?1VhrV3T5Ms;dX zlUmfK4t1$VeHze^Ml_}gO=(7RTF{bKw5APhX-9iH(2-7brVCx^Mt6G9lV0?u4}IxJ ze+Dp+K@4UHLm9?!Mlh05jAjgD8OL}gFp)`2W(rf8#&l*dlUdAW4s)5ud={{fMJ#3s zOIgNpR)oEPH>V_ zoaPK?ImdY}aFI(~<_cH2#&vFRlUv;84tKf7eID?TM?B^UPkF|3UhtAvyygvWdB=M` z@R3h^<_ll>#&>@3lVAMi4}bZ`e@(dp5RgCwCI~?ZMsPw9l2C*u3}FdJcp?yyNJJ(I zQHe%$Vi1#9#3l}LiAQ`AkdQ@0trU*qTMsZ3|l2VkW3}q=tc`8tmN>ru_RjEdGYEY9})TRz~sYiVp z(2zznrU^}HMsr%wl2){)4Q**hdpgjOPIRUVUFk-5deDAZhTiM2TcCeFO>}C&p*~fkkaF9bB<_JeQ#&J$?l2e@K3}-pVc`k5~ zOI+p(SGmS@Zg7)Z+~y8Qjn5Vq$Uk%Nk@7zkdaJeCJR}~Ms{+LlU(E`4|&N)ehN^K zLKLP5MJYycN>Gwgl%@=2DMxuKP?1VhrV3T5Ms;dXlUmfK4t1$VeHze^Ml_}gO=(7R zTF{bKw5APhX-9iH(2-7brVCx^Mt6G9lV0?u4}IxJe+Dp+K@4UHLm9?!Mlh05jAjgD z8OL}gFp)`2W(rf8#&l*dlUdAW4s)5ud={{fMJ#3sOIgNpR)oEPH>V_oaPK?ImdY}aFI(~<_cH2#&vFR zlUv;84tKf7eID?TM?B^UPkF|3UhtAvyygvWdB=M`@R3h^<_ll>#&>@3lVAMi4}bZ` zf6X`p5RgCwCI~?ZMsPw9l2C*u3}FdJcp?yyNJJ(IQHe%$Vi1#9#3l}LiAQ`AkdQ@0trU*qTMsZ3| zl2VkW3}q=tc`8tmN>ru_RjEdGYEY9})TRz~sYiVp(2zznrU^}HMsr%wl2){)4Q**h zdpgjOPIRUVUFk-5deDAZhTiM2TcCeFO z>}C&p*~fkkaF9bB<_JeQ#&J$?l2e@K3}-pVc`k5~OI+p(SGmS@Zg7)Z+~y8Qjn5V zq$Uk%Nk@7zkdaJeCJR}~Ms{+LlU(E`4|&N)ehN^KLKLP5MJYycN>Gwgl%@=2DMxuK zP?1VhrV3T5Ms;dXlUmfK4t1$VeHze^Ml_}gO=(7RTF{bKw5APhX-9iH(2-7brVCx^ zMt6G9lV0?u4}IxJe+Dp+K@4UHLm9?!Mlh05jAjgD8OL}gFp)`2W(rf8#&l*dlUdAW z4s)5ud={{fMJ#3sOIgNpR)oEPH>V_oaPK?ImdY}aFI(~<_cH2#&vFRlUv;84tKf7eID?TM?B^UPkF|3 zUhtAvyygvWdB=M`@R3h^<_ll>#&>@3lVAMi4}bZ`e@(ap5RgCwCI~?ZMsPw9l2C*u z3}FdJcp?yyNJJ(IQHe%$Vi1#9#3l}LiAQ`AkdQ@0trU*qTMsZ3|l2VkW3}q=tc`8tmN>ru_RjEdG zYEY9})TRz~sYiVp(2zznrU^}HMsr%wl2){)4Q**hdpgjOPIRUVUFk-5deDAZhTiM2TcCeFO>}C&p*~fkkaF9bB<_JeQ#&J$? zl2e@K3}-pVc`k5~OI+p(SGmS@Zg7)Z+~y8h{PlzDalAq3R04a)TALT=}1ooGLnhRWFafr$W9J& zl8fBrAusvJPXP*2h{6=1D8(pF2})9m(v+brs7?)PQj6Nup)U2P zPXij#h{iObDa~k33tG~O*0iB5?PyO2I?{>GbfGKV=uQuM(u>~op)dXD&j1E8h`|hD zD8m@e2u3oB(Trg%;~38bCNhc1Okpb1n9dAlGK<;FVJ`ES&jJ>*h{Y^nDa%;S3Rbd; z)vRGH>sZeQHnNG$Y+)*>T;VF$xXul3a*NyC;V$>M&jTLvh{rtPDbIM$3tsYy*Sz5^?|9D#KJtmreBmqK z_|6Z0@{8a6;V=LAUjp$@Kmrk%AOs~C!3jY~LJ^uUge4r|i9kdm5t%4NB^uF*K}=#1 zn>fTJ9`Q*)LK2afBqSvn$w@&^$tANeUj zK?+frA{3<<#VJ8aN>Q3Jl%*WysX#?4QJE@Kr5e?#K}~8=n>y5`9`$KJLmJVTCN!lP z&1pePTG5&|w51*G=|D$1(U~rEr5oMpK~H+on?CfVAN?7?Kn5|GAq-_0!x_OyMlqT( zjAb0-nZQIQF_|e$Wg63&!Axc`n>oy79`jkiLKd-@B`jqb%UQunR$y z!A)*)n>*a)9`|{`Lmu&%Cp_gD&w0U1Uh$eYyyYG5`M^g$@tH4th2uUbH6Na#aBRmm^NF*W?g{VX$Ix&bzEMgOfxWpqq2}npH z5|f0aBqKQ~NJ%PElZLdUBRv_&NG39qg{)*FJ2}WnE^?EHyyPQ41t>@%3R8rl6r(sL zC`l}a>$Rs8+ zg{e$qIy0EbEM_x@xy)le3s}e^7PEw-V?7(#$R;+kg{^F3J3H9P zE_Snrz3gK@2RO(f4s(Q~9OF1AILRqabB42=<2)C*$R#dwg{xfSIybnNkn3jkd$O3Cj}`< zMQYM8x%1?PQwoo91D4T2TeNN5zH`UPExS0?vYSn*{|%YkvWJ6VlPgY6UMfJDbcqb~ zH!z~$?$Q76vH*4g2}EFm5R_m9Cj=o0MQFkhmT-h80uhNsWTFt2XhbIlF^NTN;t-d3 z#OMFNe*b#}|4U2~l9G(%q#z}!NKG2jl8*FbAS0Q`Oct_|jqKzgC%MQ?9`cfp{1l)d zg(yrBic*Z?l%OP~C`}p4QjYRepdyv1Ockn9jq22(Cbg(d9qLk#`ZS;+jc800n$nEs zw4f!eXiXd1(vJ3Ypd+2=Oc%P+jqdcIC%x!RANtad{tRFsgBZ*ZhBA!dj9?_A7|j^Q zGLG>~U?P*4%oL_Fjp@u_CbO8$9Og2Q`7B@|i&)GOma>fHtY9UpSj`&NvX1p^U?ZE@ z%oet?jqU7UC%f3q9`>@2{T$#Rhd9g;j&h9SoZuv;3J>-%oo1$jqm*6C%^d3AO7-> z{{^rTkU#_`2tf%(a6%B0P=qE7VF^cgA`p>CL?#MRiAHo{5R+KMCJu3lM|={HkVGUV z2}wyta#E0zRHP;iX-P+VGLVr>WF`w)$wqc^kds{GCJ%YZM}7)WkU|uu2t_GIaY|5< zQk13)WhqB_Do~M1RHh15sYZ2bP?K8JrVe$fM|~R5kVZ772~BB6b6U`nRY(34*DrVoATM}Gz|kUW_xyE&FaFbiy<_>qc$9*2~ zkVib`2~T;(b6)V0SG?v8Z+XXiKJbxGeC7*Z`NnsC@RMKs<_~}Q$A2IG00blufeAuT zf)Sh$gd`N92}4-I5uOM{BodK{LR6v=ofyO<7O{y#T;dU*1SBL8iAh3Il98Mgq$Cxo zNkdxFk)8}>Bomp*LRPYoogCyO7rDtpUhrl%y1;DMMMxQJxA^ zq!N{>LRG3!of_1n7PYBEUFuPv1~jA*jcGztn$esVw4@cSX+vAu(Vh-;q!XR#LRY%c zogVb07rp62U;5FX0SsgigBik5hB2HGjARs}8N*n{F`fxbWD=8^!c?X)of*tz7PFbd zT;?&K1uSF{i&?@_ma&`_tYj6dS;Jb^v7QZVWD}d&!dAAiogM6C7rWWRUiPt{103WK zhdIJgj&Yn5oa7XzIm21bah?lYUG8z82R!5vk9opVp7ER) zyyO+HdBa=Y@tzNSDP6Jl zYEp~Z)S)i*s80hL(ul@1p()L1P77Mniq^EDE$wJe2RhP;&UB$G-RMpadeV#D^r0{P z=+6KKGKj$pVJO2G&Im>_iqVW=EaMo@1ST?x$xLA?)0oZ-W-^P}%waC`n9l+hvWUej zVJXX4&I(qtiq))PE$dj%1~#&Z&1_*S+t|(ycCw4z>|rna*v|nDa)`qm;V8#A&IwL( ziqo9oEay1S1uk-l%Ut0q*SO9NZgPv;+~F?wxX%L~@`%Sg;VI8}&I?}hir2j1E$?{G z2R`zN&wSx4-}ufCe)5ao{NXSE_+Mc0Pe1|@m>>it7{LiaNJ0^sFoY!>;fX**A`zJ= zL?s&0i9t+a5t}%~B_8ofKtd9cm?R`68OcdON>Y)UG^8aR>B&GwGLe}qWF;Hf$w5wX zk()f^B_H`IKtT#om?9LV7{w_;NlH=yOIp#IHngQ3?dd>AI?r62tnz(58um>~>h z7{eLCNJcT5F^pv#;I& zHLPVF>)F6YHnEv4Y-JnU*}+bBv70^YWgq)Fz(Edim?IqJ7{@umNltN^Go0ld=efW| zE^(PFT;&?qxxr0tahp5bhfil%qTqs7NI$Q-!KjqdGOHNiAwqhq~0GJ`HF{BO23$rZl5D zEoezATGNKMw4*&8=tw6z(}k{dqdPt5NiTZShraZqKLZ%ZAO&aK$t-3whq=sSJ_}gLA{MiRr7UAPD_F@YR>(8$u4%YhrR4$KL+=(3WeG#AU83dBtnq@RoPH=K~-4#Am+nm2Z6K2S546Z~pL?fBY|)_$MHN2uu)y z5{%%4AS9s(O&G!wj_^bvB9Vwp6rvK1=)@oQ7J^CQt|)v{~zc39>@1R z?&HyK{NLmFbiUVho!5C?-*w;j<9R%)Q-hk+qBeE7i@MaKJ`K2=hTKCV?&Urj(}eqZ zfCp(xGn(@dEqIugwBivSr8RA6%VV^oJso(Qj&!0kUFb?To}fED=t(bn(}%wF<4K;P zKTk7&XBfyJ1~Y`A3}ZMW7|FAY;yFe$hOs=)3%tlnjAJ|#c$rstm5EGZGE;bssZ8T_ zrZa!;qnw{)oH+$I2H|%3S-|`*bbATWCk%JuKFh6mG zqx{SB&GwGI2KNa4wn2LRPYoogC!kJaUnn zJme)G`6)m_3Q?FM6r~u&DM3j}QJV9)fHIV&9ObFNg;b;xmAQzExr9r(jLW%#E4hlR zxrS@Gj_bLB8@Y)p+)P!faSOL{8@F=@cT$}i)T9=*sl#2=r5^QZz}+@fP!0z(N+Wm?bRbZQfxS%UQun-sL^sXB8i?nl-HDLq1|1 z>)F6YKIRiXH!(P5&AN%>1@A#er{J@VKrl%y1;IiCwCLs`mEo(fz@MJiF5i@2CexRlGdoGZAJ ztGJqLxR&dWE^{K!EL zahRVt!cl(a7{73w6a30={LV@K;7|VI6sP(72m8(<9qGwHMlx|W=Ws5W$wF4Lk)0gm z^$tANeUjK?+frA{3<<#VJ8aN>Q5gxqvd1r5xp{z=c$#5|z1#i@AhLxs1!X zf-AX-tGR}2xsL0(fg8DrD%?y}s&NaqavQgE2X|7P8q}l~wW-5h)TJKvX~5kyA>T3q!XR#LRY%+1l{RDPkPat zKJ=v@Px2J~d71${!$1Zxm>~>h7{eLCNS!dAAiogI9^mwd(7>|__a*~4DGVITYXmhbqU1N^{` z9OMv(`H3SO9yYq*x{xSkuhk(;Q(%~Yitw{R=BaXWW#C)KGzO=?k_I^0EF>QSEt+)YF7 zp%M3TAB}0k{XD>fG^H8Md59J~OiNnv2#?a5Hnin2+R>g4JWfYC(U~rEr5jJsogVb0 z7rp62U;6PRPtl*J8Nf3PWDtWH!cc}WoDq!VSw`_3qZz|kp63N#DIKokW<`}~ZA|2_;Kt?igHs^3InaM&{ zvXPw}N*| zOSz28xq>UXimSPXYq^f=xq%zGi7MPoRjP3dw{jb|a|d@)of_1n7PYCvUDTx>^=ZJ} zG~^x{aWD7Lm?qrM13XAmn$etxXu-p@q!o|wD6MHjTOOkw?dibdbfgoV=|We!@dVxJ zK~H+on?CfVA5ZcW{dt-JJi|Z+F_<9?Wf;R5!APEE6wfi5F^uJTUf@MuVjSa{z{|YC zt4w4PlbOP6Ol2CcGo2aC^I5<`7O|KmEah$9VHwL=!AjocJ>F*( zAF!G=tmQ*KVjb(*z(zji6F%iLHt{)|*}_(~v7H@!!Iyl+*X(2$yV=8DzF{Bx`Ihha zo&)^Aj~wI>hxv&k9OY+@@e9W}!LR(r@0{ch{^T!CahkvXGS6A0BRv_&NG8ta9L^;( zS;$H@vXg_HoJTHllZU+IBR>TwNFfSSgrXFqI3*}aDN1ub7f^<>l%qTqxR8oeqB0k8 zF_&;DmvK2)a3xo9HP>)0*Ks{Ja3eQSg`25LHE!WnZsT_D;7+PjgPPQ$Hg&j*y40gS z4Y-?z+(RSolxi$+L{&IYu*vu{_TUyvR$8V>}ah znOAs~iA-WLQ+SQ3OyhN?GlQAD!JEutHglNEJlv5W$-BJA z`>f&vR|;OQ z@*UrEfFJmggB;>8KXHVk{LC?a;W#JwmEZWCll;M-{KY9w^Y>rmJBxIrCj%MD#Mzv~ zxnw2_S;hL}7|hlwuU81SKg&Y0l>Y%21Yal&1n0Qjtnj z<{~cU5-#O3F6RoaBbXurw2XhMQ{4hmwr6SQ}pL)2Jj368N^_QFqB~oX9Od8mQg&%XvQ#>=Xrq_d5Lk1 zX96$t3a>JeNla!6uQ8Qryv}rHFq1cUlUdAW4s)5uTg+zx3t7Zsmavq!d52{zX9X*H zm-l#|ReZo|*07cj`G|F_X9FAgm{0hW&)CH0Y-S5v*~WHu@C9G;6<@QHUF>ELd-;Za z?B`p)<9iP913z+*LmcKOj&PKpImRy>=LEm<8^3dsKlqcsIK^rH{!6@Pk&g6aAS0PL zn{zmq%w!=e*~m@~a&jKI$W0#dl8^ippdf`POc9DwjN+7_B&8_L`CLF5%2JNG zbfGKVc!KWqpeMcPO&|Kwk0*JG{yfb9o?#$^7|alcGK}GjU?k5nisu;37{>BEFYqES zF^=&};ALLnRVFft$xPujrZSD!na&Jm@&<1*i`mR!F7tSc`7B@|i&)GOmhv|5u#Dxb zU?uPJ9`Cb?4_M6_*76}Av5xg@U?U&%37_&AoA{i~Y+){GUe9L!y&jEhmM-Fm`!~Db%j`B0d_=V$~;8%X*cTVyLfASZnIL+UGf&VPhk)8}> zBok+I4(F1YEMz4c*~vjp&LbDO$wOZ9k)Hw-q!5KELQ#rQoD!6z6s0+z3n)Wb%2A#Q zTu4PKQJIUlm`k{n%eb5?xRR^5nrpb0>$sj9xRINv!p&5r8nyS@UFuPv2HZ_U?x7L)avzOp!u>qJgEXZX&3T9xJWNYk@d%I7nl`lMG1}3d4m?gr zI?oy79&a(91uSF{i&?@_-sT;a zv78mGMPIj@I zJ?!Nh_OYLD`Ht^7zz_V$K@M@4pE$x%e&!gzaGVqT%5VJ6N&etZ{^As;`TLi5oJBg) zlYxw6;%v_0Tr!h|tYjlQImpR*I4f|8V?H0N^xWhhHI z%2R<0sYoR%a}gJF372vimvaSIauru|4cBrV*K-3mauZd!nW|Ld7H;J>Zs!i}q&hXI zNiAwqhr6gtJ?hhdyJ^ThG~!G-DXc z^Sr=|yu>)hGl7?Rg;$x#BqlS3*O@@jVClfgd@@ArA8sM>xvQ9OD;`bAn&_jo&%RANWp|Kgsr zNJn}ykdaKB%{iP)X0ni#Y-A?~IXRD9@0trU*qTMsZ3|l2VlBd@i62 zWhqB_DsUkcsYGQi;$kl0QZD0iuHZ_p;%ctpTCU@IZs104q6#-tm1^9=t=z`#+`*kx zrv^2tMQ!SE7j>yeeHw5#4Y`L#+{=A5rV01+01wiXW;Ev^TJSI}X~iQvN^9ECmd9vE zdphtq9qB}8y3mzwJVAGQ(34*DrVoAT$CErof1YLl&oGcd3}y&J8OCr%Fp_5(#dC~i z3}bno7kH7E7{_=f@G`IPDifK+WTx;MQ<=u=OlJl&d4o5Z#cbv3LY-a~w@FidI zH9OhGZuYR3Z`j9vzU4c<=Kw$OBL_LeVSeHWNBNm!{K9cg@GHOZJ16;rKlzJOoaXOe z+I1G`NKXbbl8Li9hjYnH7P69!?BpOP=aGxtDP6ES1Ma3F_t1!YxsS#);eH~op)dV-lBej;(+uDl1~Q1j3}Gn47|sYr@+_lx zj?s)^EYI@-FY*%O7|#S=<`rILB9oZR6kcO0(|Dcf%wQ&O@FugE%^c=3kGGi50v57} z#VlbdZ}SezSk4Mo@-FZ3KCAeE)vRGHAMz3FSkDGF@-d(ADW9>4&)Litwz7@w?BEN& zAcr{2PaNSWKXZ&-nxrmFogiE=M%ejIpxr(c~hHJTw>$!m&xrr*=OjW9J3%7C` zw{r(~Qk@#qq!zWQ!(G&+9`$L!-8AGL8gVc8(U>OO&jUP2Q<~A7hiJjWw4@b}@F=Zm zLt7rB9qsAB<8-7Go#{eXy72_v=|N9=(VIT>r5{i76#aRc0X)M%1~Hf+3}qO@8No=N zWfadbnlX&!d0yZ}USb^MnZV1u!mCVV5|f$2YfNPtuQQz)%;XK;WEQiT!(8U^7V}xa zLKd-@B`oD_-eDQbS;0!)gf{5Qq7RBOK*tj`0h}Il-^|#_ycu5B}sY zPH~#Qe_7{Qq$52U$Vev6<{Zu?Gg-(=HnNk0oSa84a+8O=!;qnw{)oH+$I2H|%3S-|`*bbATWCk%JuKFh6mGqx{SOG5eq$dLz$;8>5!?|Q83t7oVc5;xD^T2rVVX*jCQoA1CP^@PIRUVUFpUXbf*VB=|yk)(3gHZ$y4;_X$J5N0~y3%hA@<2 z3}*x*d6rQ;$7sedmgjka7kPGhX}r#KW-yaCc#~PoW)5?i z$6L&20Sj5gVwSL!w|R$UEN2BPd6)NipH+OoYSyrp5BZ37tY-ro`It}ml+W12=WJ#R zTiM2TcJKvX@)cjRlU?j)4}1BBeeCC3zTJkLDpHBcT*Sp(!lhis_ zrYhCAgPxr#Q{uzo7pt(vhAFWF!-3a}MW{nJi=_8`;T0PR=72xyeIb@{ykc6r>P^ zDMC?-QJfN#q!gt&p9?5MS;|qK3S3AxR^`0l*_oBE4Y%YxSDIYmg~5l8@Q31 zsKU)ur5d+zE4OhwcW@`wsXv(wa83^4&E_9_EPtctn^rRQP=|f-o@gz^tpQjnXGYn)9 zgBik5hB2HGjO1BH@f@QW!&si@1zzMO#xb4=yv!@S%0wnHnJK)+RHpGd)0x3c-r!AU zF`GHeWgc%ap9L&r5sO*EQr_krma&`_tmIwZ<9$}~0jpWVT0Z0>*0G)qY~*7;;Zr_i z6Q8r0Eo@~Q+u6Yve92dQ%}#c)n?3C18}_lEZ~2bzIlvG6$UzQqn4dVpQGVtazi^xr z{K{|q&Po2@PyXT*r}_II=QxXWq$dLz$;8>5!?|Q83t7oVc5;xD^T2rVVX*jCQoA1CP^@PIRUVUFpUXbf*VB=|yk)(3gHZ$y4;_X$J5N z0~y3%hA@<23}*x*d6rQ;$7sedmgjka7kPGhX}r#KW-yaC zc#~PoW)5?i$6L&20Sj5gVwSL!w|R$UEN2BPd6)NipH+OoYSyrp5BZ37tY-ro`It}m zl+W12=WJ#RTiM2TcJKvX@)cjRlU?j)4}1BBeeCC3zT-nxrmFogiE=M%ejIpxr(c~hHJTw z>$!m&xrr*=OjW9J3%7C`w{r(~Qk@#qq!zWQ!(G&+9`$L!-8AGL8gVc8(U>OO&jUP2 zQ<~A7hiJjWw4@b}@F=ZmLt7rB9qsAB<8-7Go#{eXy72_v=|N9=(VIT>r5{i76#aRc z0X)M%1~Hf+3}qO@8No=NWfadbnlX&!d0yZ}USb^MnZV1u!mCVV5|f$2YfNPtuQQz) z%;XK;WEQiT!(8U^7V}xaLKd-@B`oD_-eDQbS;0!)gf{5Qq7RBOK*t zj`0h}Il-^|#_ycu5B}sYPH~#Q|52{9NJn}ykdaKB%{iP)X0ni#Y-A?~IXRD9@0trU*qTMsZ3|l2VlBd@i62WhqB_DsUkcsYGQi;$kl0QZD0iuHZ_p;%ctp zTCU@IZs104q6#-tm1^9=t=z`#+`*kxrv^2tMQ!SE7j>yeeHw5#4Y`L#+{=A5rV01+ z01wiXW;Ev^TJSI}X~iQvN^9ECmd9vEdphtq9qB}8y3mzwJVAGQ(34*DrVoAT$CEro zf1YLl&oGcd3}y&J8OCr%Fp_5(#dC~i3}bno7kH7E7{_=f@G`IPDifK+WTx;MQ<=u= zOlJl&d4o5Z#cbv3LY-a~w@FidIH9OhGZuYR3Z`j9vzU4c<=Kw$OBL_LeVSeHW zNBNm!{K9cg@GHOZJ16;rKlzJOoaXO;knb$gk)8}>Bok+I4(F1YEMz4c*~vjp&LbDO z$wOZ9k)Hw-q!5KELQ#rQoD!6z6s0+z3n)Wb%2A#QTu4PKQJIUlm`k{n%eb5?xRR^5 znrpb0>$sj9xRINv!p&5r8nyS@UFuPv2HZ_U?x7L)avzOp z!u>qJgEXZX&3T9xJWNYk@d%I7nl`lMG1}3d4m?grI?oy79&a(91uSF{i&?@_-sT;av78mGMPIj@IJ?!Nh_OYLD`Ht^7zz_V$K@M@4 zpE$x%e&!gzaGVqT%5VJ6N&etZ{^As;`THN^Jd1RsCj%MD#Mzv~xnw2_S;hL}7|hlwuU81SKg&Y0l>Y%21Yal&1n0Qjtnj<{~cU5-#O3F6Roa zBbXurw2XhMQ{4h zmwr6SQ}pL)2Jj368N^_QFqB~oX9Od8mQg&%XvQ#>=Xrq_d5Lk1X96$t3a>JeNla!6 zuQ8Qryv}rHFq1cUlUdAW4s)5uTg+zx3t7Zsmavq!d52{zX9X*Hm-l#|ReZo|*07cj z`G|F_X9FAgm{0hW&)CH0Y-S5v*~WHu@C9G;6<@QHUF>ELd-;Za?B`p)<9iP913z+* zLmcKOj&PKpImRy>=LEm<8^3dsKlqcsIK^rH{)c$aA|2_;Kt?igHs^3InaM&{vXPw} zN*|OSz28 zxq>UXimSPXYq^f=xq%zGi7MPoRjP3dw{jb|a|d@)of_1n7PYCvUDTx>^=ZJ}G~^x{ zaWD7Lm?qrM13XAmn$etxXu-p@q!o|wD6MHjTOOkw?dibdbfgoV=|We!@dVxJK~H+o zn?CfVA5ZcW{dt-JJi|Z+F_<9?Wf;R5!APEE6wfi5F^uJTUf@MuVjSa{z{|YCt4w4P zlbOP6Ol2CcGo2aC^I5<`7O|KmEah$9VHwL=!AjocJ>F*(AF!G= ztmQ*KVjb(*z(zji6F%iLHt{)|*}_(~v7H@!!Iyl+*X(2$yV=8DzF{Bx`Ihhao&)^A zj~wI>hxv&k9OY+@@e9W}!LR(r@0{ch{^T!CahkvX5$>}{M|v`lkxZP;Ih;#ovXGT* zWG4qXIgecACJ%YZM}7)WkU|uu2t_GIaY|5v8gMra zxravF%Y8Ja3HS2=57LxoH0L2&@GvcD#UngQYueD3$7n};I`B9h=|pF`(3NgHL3eu4 zlV0?u4}Iy!lRQO#o@M~gFpxnEW(Y$W#&AY3l4lvkbBtyTV|ktzc#)SF$9N|2GOzF| z6Pd(hrtlh5na1l(X9hEQgEyJQZ00bRdA!AZ7O;>-EM^Hyd7F1w#&TA$l6QHJ_gTdU ztY!^s`H+uT$9gufk&pR=Px*{Ze9mUJu$66WX9r*KC13G1JK4o<_OO?4*vEdpoXt6$OJ=f= zm26}u2RS*9T;wJXdC5n93Q&+j6s8D8DMoQhP?A!V=6o)o3}q=tc`9%r6{$pJF5+S? z;ZiQ+a<1S?uHtI0;aaZadT!uGZlVe|QGNG^Ppn^8gRhlx8&NAzJV-EosFgJW6ZY(3Zz&M|(Q(I34LkXS&dpZahJE zdeDBo~iMSq@V0M9UxK@4UHLm9?!Mlh0R8O3vqW(;F_o)>tLml(%*Ch#(^ z@G29T#AK%M8dI6Z>r7_`GkJqInZ<18Fqe6}#e5d9kVPzJ2}^mKcUZ=9Rv z8gMraxravF%Y8Ja3HS2=57LxoH0L2&@GvcD#UngQYueD3$7n};I`B9h=|pF`(3NgH zL3eu4lV0?u4}Iy!lRQO#o@M~gFpxnEW(Y$W#&AY3l4lvkbBtyTV|ktzc#)SF$9N|2 zGOzF|6Pd(hrtlh5na1l(X9hEQgEyJQZ00bRdA!AZ7O;>-EM^Hyd7F1w#&TA$l6QHJ z_gTdUtY!^s`H+uT$9gufk&pR=Px*{Ze9mUJu$66WX9r*KC13G1JK4o<_OO?4*vEdp zoXt6$ zOJ=f=m26}u2RS*9T;wJXdC5n93Q&+j6s8D8DMoQhP?A!V=6o)o3}q=tc`9%r6{$pJ zF5+S?;ZiQ+a<1S?uHtI0;aaZadT!uGZlVe|QGNG^Ppn^8gRhlx8&NAzJV-EosFgJW6ZY(3Zz&M|(Q(I34LkXS&dp zZahJEdeDBo~iMSq@V0M9UxK@4UHLm9?!Mlh0R8O3vqW(;F_o)>tLml(%* zCh#(^@G29T#AK%M8dI6Z>r7_`GkJqInZ<18Fqe6}#e5d9kVPzJ2}^mKcUZ=9R28?Ol-TxUlrrwxxHO{J4xwMYnI)Zkqh|NT#m|59&o)eZ&E`mfoOw~qC3txCj$Q#*8Rm8C?Lh|zzh zvB~mMm2MnbsLHqu>4s;jTl8ObV}8_)82xF*$d8yRKjVqhyDH8v@*nG_%1^65xnA*8 z8`ocbq*%)OksmQt{bZfUPwqdNm#SX$N1bT@U&Y$xM`c@@<=^KaxzDurF)`!Z>g${4 zOL-oX`#yeT!<>8e6-t?3tZTK6T~_D+*LZS2$$H8CCELmTXs4BzYCKhc)Qy-{UaIHn zOy@`5nZ~sCbEb77FS-A;u2alQ760k}lKIK|IMq7;v_H8{a(-Ilk)M1$i2mexORHXT zJlT%A|I?VNZmRy|dU0II{Qv27O3qK#Pqvf$N^3lspIk4-&$LcFCwmqhZquPck$=4( z$N7nRd9z$ud-J@)DaTW-7yYqL)QuSRBQM!bbzeqas+g>oDsS7WhKI8pEby<_^OzUs zBj%-bo?~9*Cu1B(oX6yNoS%p>9_K0fz7+LRts8YxjYs`tOe;Ue<9x*aqE4)v?2qwe zjC#=@?TFEzR*d}ESLC0yX6(r6Vc@n|Ps*P>30rxoKqPUfYmlPW*0`8#Wl zoH@Eo!T)$J<9SHVPt}g~V}Hq*YF_jw@5ks*)`@mJkI{}8^I|{Iju`zzzu(_(#k7J| zqD~xd)QP;fuBl!ZVm#)>IuWBkc|S(|7?1pa8dJ?r)gSd^-_btPn5u57{$$;>jyrjt zlJnzr>P**5&X4tz{mJ$}tsm!e@r*-tMiwhjCE5|wsuy{&zqIm``%Si^Ui3%3@ zPv*zGWK3S4n4io`KF_J1pO_bQVjpR(6L}G%PQ<7eG5S-*WSuE*O&ON?X#Og3Jz`!m zFZ$Dpv5$CPNY;t*h-X?at-Kgd)=eH)ay;fmjO!73aU9W(ytHEEM@;6Y>QCk++sX5p z9FNzHh^g{p{TPpSvRm>8ix(}22srDUt5mV)*)qke*Y)`{1Vct1$ijn8Gt{+J)qe^`ag5 z$(YnlJGRx_ zocBMzPDz!Y?2mTTi+03RUkAl_@_3W&$cy@EozKWm6{Aj!C)>&Xidexyl5xuMV(|!<|W(7{AfpBtQY$@yu$ZYA@R?d17St~2JU zq1(4FJ}=GtJL)FqM}Jx|`MErqpRAjFolNE@+sXMc9?wIJM~wc+ix~ZBUDp_2JG(@` z7Ki@x&oSbzORRIIF;)HOk3UaL){A|{`HprnFWHW|$^QSX zc3S(0@1Oi%@8eA0XOhSLPxlr15tH>&wUhbrIvn|Nf5q!d@^e`HIZ(uymntULi@fNM zn5tfkM~wLqDZ$^2C9f0`e4VqY;o+R4xH(I4|7#=K}JV_ffe|4u7EIsbp!PW3($=Q&wF)o~{C zQngd9mnuKbM?8-aqd(QWwEC0t&$MpLOP-(q>3K=+H`a;xPwU6=M2z}TFJkmZOw}Lb z5hE}D+#>cD{mB^fl6lb|`7s{-$^A!vLlOqW1lfE^3saQ>y%dhnU2SPlRuvn^Urjjaa?J=?k4ZcwCbld9_z+_BgVY6&RgUq z=cTF}c@ZNou79*6Mqb2NFW!%%|4d`DZq$qU$#(QdjO(4O6XOw+_igkiW2*I{e#BTe z=0|_DljG5!)^i%?J@QkcYQ z#Pv+pNv<2?$?KjfFY+TM^OEhziUbK@j<|Xg<=#PD*iphG(yi|2k z^~e0E8}0vTjO!eA(po?AQpHsFOVo}1M~pgYwIeU;B=55rj~IE;{-^Ow_Y-x~I_}6z z#^gGw>O@}h^*rv+7?1jK{LvqEqd&f%5cv^Pz2C>Y$V+}55&aQky=X^_{X{!r{P|dn zM~v}kM~wc6|I_}MA2I4iOw}LbsbZ@0nJPbdo+B^$oJRkd#$??%o`}ghksmR}lkMc| zaOC}8#Z>!EYrW*WWIN`kx^H7V8IyIA?PPwk9q&sKljCW%)7tNu?k8SHlItbsM?3lV zNRszOvK{l1^^@&X_j&yMYcfB1{IO2lm#JRoA}={V)p~Q@?fHY{c$~_oy<#h{*qre zCEx#&^ODyo+G(AqxGu^4#r))c(`rY(RC&pD(#lKbC)>&S$@SC9kNI)`M}8cCv?DK7 zjQog^mz`osXEGj8QMy|NnP8xsPN!_7m?nas0{qD2_koM~wM# zUZX$qWBk7xqh4C~LDWxvZjJddo>olj{!VLttQRqPUZOu)C-R~{RbHIexK5FuR!mhd zt$8sX>qec3F`jHkf2tVy5hE|IbFx3ilQHs>{b$-f({)nSi}MoW@f;;zm;a~hME&Ib zo$5YF)gN^t#^=-I^B&`)4venYe^IV~ecwL%lQE7ju1E5`#CXKWi*~YJTJ2>0wDSME zZH2A zlgE{8r>gf)`%~>Z)%i*8Bia#DtsnK$8c)`VcAU@HZ}dmKWIOuLH2z=DkNOdl`%3o5 z&krX1lk-xwljkd$msZ{6^-8v5eykJiSSQ-?IV9RK9x+vajHimp&l$PM)`D$9UwYipjiWJLaXj4l$lqjQ7uEUaIq$sz3G@F}bfe{#YkfUi3#^ z#JHcLZuF=1edtv6lHbQj?l0>9Z^iiBliYvQkM&dSH`$+T$8|{_SJaP~oEQE7G$xO91F#8mU6KaM-v5o3Ow_h`p`l+26qv|_9`xYf-iCY1fp-wP0R<9f#L z+ll-*Z)qKW{Jc%nOTG@pK4P8tydL?<|o{X_>^hbX5 zM~v}*+Kze27{?LkIqJsoM?1!o^CK_%BR|=W{)nl@qdysApUL^jytKxX`Kj7bC$4wo z#dV2xGNw9DF)!-Iykt9m-an2vnU~B@wj)1PjQc-1o@(95i{py*k}>k)I8(KwKc4Ss zC+8){W4*{vs~vgCm^`mB9{q8gOP!iv{>wP}v zooT&feq5&oO9pgA-o!DQrlQGpklk<}8 zsFUja#dVLoWK6D`tdks1&QG@Ebv`*S+Hrkioj9HtkH3Esbz}dL7cs^oMt{_a{$z~x zll`$y^vC|<=X+DlOKZKTn<_6}4`SWOi}j;FV)Ew);<#fxV)RG7=ugJ9#*_JJwNo8$ z>?b)tzMf0=C(rkPcc01UFxH8B@q3-4KUIwH=fu3o8#;XI1+&uUuaewvjHeZo^^*B< zKI8AL#(47cL$V!t$r$S;KL@5YKjs}iQLR<;mH+vu zsqVXYu4BK+m|Q2-^B8%_`O!|beyaO2>iuuUSU>ssB31p!Pjww){Qu$YtHY|=)^`yQ zMNBMAFtAY+yN0477FdWKC?blYfC1PYn1C&USfF(0x7MP&RWK+~6cHQSyMAZyckSmH z=b3k*`*-j8wjXEcduu!TaUwi2K_qU=XCygVZGz3i~YU-d9MV& z5HI+F@Q2K!&^#96hrc{tJ`XR;yC30w6mjP3;`{0M{qK2=df>++>csT~8GiEO;m5}b z^$+}khyy|o6w<@aBkrq0ai4|_2@Uo6XTBp|s9qr+=n)55=sHIp_yM8+-$tQvfb>KfE90x+1PW^ef^p zzj;0EJfa=E9x~bi8OZ;ANZhwz7eaZz_dvTaU(v7f>J-W+q?gw}d_MT&x&bfrkby$) zr*&-)pC7zHJ}>%TD313B50BvC^|)?%JumZl`1ynO^Kn9T3+aX8;g50R>*3?-D$C>H zuLqtNb@6)aw?Z%E$Lo0+@jSv02sUZ~&Tk9C=k`?oUM zg*@Oxy%-;%`rr?QKVX8N9Fyp*%m-1q2V`cs=Ywh&UlT_~iNV z@%-;?5f6kvWaNP!$m`MHK==tEKMoi-`15w?|6e1&PV((RyZL<&)P;Q^J`VOj#i2D7 zhm9Vp%l&uf`0GYqKGX@sxC_Oh{X%}Y-Vu*+1VaD2i24wR{HOkk9jPWu8~44&>qep$E#d z!%rT92Pn^mkO8w?l>>@}dsdxKKSv7apU#8%(ox?!{_DWcp3hD{qTbwG7#+%isRQ2AwTf(2!9}N7n0@m zANoy*m)G;MP+s&0?7R&9zs0)NBa{d0G zu=D$-$j9^ZGUD<6CoezZc|Yip7ySx;Aw(Q+=ig`R$_E}?Cy;rx8=6qr#-p|D-v#FF zkbgHX-yYmo&@bQ>LLoosfry8U@jyP<E((ZWTO2anQ@l10MK627-r|q32QPIR^23d!Pr8kc@FhomkHiCvW~D z4*onMFZ}pAp+_9PlR*aZJkSGShb)B1hxHYHd^`E|8-6_UalE~*a$W1^>p~pbg?Y^9 zmAC$ahmYfBL#~ty!|86_4Yr|grbN&r}KzZ$e-!v^VQQnIGJ{JYM5Q4vF z>CEYE3tP&)AMreVdtm4L33?#xi0Avc^Xu@;z>CcV_iYgeJ|1zM^Ln8;%xfWgU3qvv z$Y?KX6>mGb^*`tQ_;rrY&-V-LLiY!p*F;_*;(*Wt@xBLy9*8*91B4wYq=#J|^6?l) zejVU>gz82-e}0_rcb*S2&I6$?tk?W=2mFEX2SQ)heuO^|aX`!`*m*>I;SW16L(gOE z#KF&UPBfGI_pI~$-njBShzDXl1RwOk-_;|IN6brk_3&|! zh3fd-eg+>OC&Ul`-$m?S^5@RMgMQ%i^8WBc98jn~t(VyjKJ~Jd-1{2Nw}S_~JPNHd zydN*4e^Ed3U>^+rutOF?_~Gx0zz=#MS)LyDx+3xc`8cefyk4Fx#3!WZ=MDIw$Ne4s z4m%KfAoM^!FE0!EL0?xyz3}Jrzz&3+uNyM_zz0Me5PBYQ-xczM9`6@eKfwb#WQ+r3 z9);@V{ditnU+}|y12Ue+`8e2x^!)oF{OgM77kTZjE8p+>@$G^P1Rp}+{e1#lXM8_`heurB(4Ww9a39x5`27!c z%IhESfgklF9(KM?-VQ$?+6NhkI3V=6UXdSqA>`wQ{Gf+F@<7kab?q<2^N8mKHva=pI@*8;fLo?$h;kTpip}; z|M~k2e;)#mJd{@l-aC07e!lW{UPgQPx_LidMjXaLUOd_ZL_E(6I}mSIi+nut z0>Ovzhb)AA9Qb)X;`#o9o=1MYPM-etV4&N7|IU(+6OvJvkX>k>TquqoXUsqFBaUC^ zUOdAkejb5e$X`g0IE*i3etrx6{Ttp-D9`_IJ^vgiFTc?Ilo!X_(SJbR&dYrN z@iP4R`s&J$cpee|zs<|%k@xph&|cKT$MZ7k#r_Cy|9>STZ(aHM`#B%S^P&Af-v3W! z-2bqC%HtQZ3+YkUqz#UyLoN#MBmD052wvpn5q2Ko$M-MqS63N)LjHUn_zUS_=kFK1 zKl%&)ka4~6_3(QBJ_CNtOYnjRcE~*9{s2Gz`wH*R%ZTUm@_uHq*)J6@{r9;B#34Uq z#PjWkUI-BnKKSwNf*I^C)D89*8(zhF%EycES(+CS->nkH`TrRf8T>%2$3JpTae-ZyX`{U?;_t0$UvS?NYDH6GT%Pl&dc)rVF&W@yv&a)f8Le% zud6ICzmQ!>k97{?kN)QCuWNns{P;R}SzbKql;;OK_<_))oj_g>`A_rlyvPqd5P5)j z{($_ah#+iSQ=j-KV#0%+R=Mn7&@^;9m3o;OKf4V<_dij3G^90U&;W|KG9$^O` zP^fOiqkhQzzn=j;kMj8Cf6tSTmnWkiFhAt^^LFG1 z4`kktpFi-EhkUznT|&?2!FMuV&*woruZN6yAoM`Ky_hdR-pq`RmHh zj~Cj5`3srnf!Cs3*`eZ{4gIN!!CrVSIA#T4?fs|$d7uVhd+qzNq3;a5ALcQ5fXIjbKFHg_gd08HhJUi+a;zhg={%IWgMTi&uiE&3B9^og%BTo;0_<^6-!!Cq;9KX&9 z#R=)b2Shs|19?68Fs_h+{QeZ$DKx*42l4PjUjBI;etaDCJc5VULzc$_I}q&wLJvM6 zgdb4I4|=SpLiG#rK+hxU1wRmekTI?p2i}f-03kl`2qE}k=lP*We#poRSqOPPzD}Y3 z1Rvsod_3=`|L)0)AmdiQ{dWMs59I3-%8UGb|9}Vfx?)}9gz7=v;1Ti@sz=_r%(|{~ z{5rwcf%;Gf>_A=*8OX;&59E2EmxsR_hyDgH>iS(C!~?;@_czZAKg7Wfgq}w}4t9P$ zfS&i~W%vQ>YDb;&{Q0_s)*p-q)@#%Q6uKY6j(Q;TD6dZ5AF|Nzn!yL;#~bn3kAw_= z$Y?iY^cUL0`@;{&$3rg<ZaA1@(3K8`=<#^>Q>#Dkwl-VRv^<&7)&5f2&2>rpRnho2A%onMkyANcT| z3IDq0hd+4ap%5?r9Y=mW zo)`Q;@bfbG!N>DJMm#Tr4+uLDdLVcp1BLXk0|)tcX|ZJ2KmT3~t`B+d--rhypU{02 zb|4=ISswE7@E6i!JmB}cD0CeNjR(*FyZO-$AkW9kxL% z_VIS)!~G2HLHmUEJ9!>nM*Twl06p>`9`!(9*LI?A@BqOBgr4_DUS1D>9^qeCy}aMK z2=Vd!yo~YX+sFIKlMxSuzr4C&N5Ap$xK6?MZxQ+A@d)`r&({e)*dg;+*ZIiDLB@5# zpBLuW9ickV&)@?JwFh<{F>iQ%U1h#LA(_|9;4HbeF^ws93TtT zC9e*lIDY(55BP-Qg!G6te|ZRgK8}~+$Ma#n2-)F}I_3GnAH0zHI9`Td zT@m|bLOi^lmyw6B6MD24GT)!j1L2SR5oFkf5dK1Tp}K|qdA(3PuJ^juDb!DVK3?YY z^D_LgpDkpEACG_P&#%*Xp9jAXue|3*^ecFH8G3o+4nH1IH|oRq;rtS0*!g(ac|BzC zLk4303(W%|UZFa`D};QWKjq=aOQ=p>|EKx*_JD_<2grx|AoKB%!2|iT^0Z|`hA%En7ALa|>KV8rG{NNR;1N)N5TUQj~Lp?|IMK*FB!6gyt!DfyjsJ0eU_!ujggN^Kn8l#+T=TKlB(cAnfuG?E)g-*aI)$_zeB$ z?-L2#FOeU4AOoT25%Yl8qYhrr%iss{c3#H6-^A;&FURKr-PTj zzw+_O2Y(?Hn%D5>d7+nwn7`l`;(?v#gFleBLq`8X#=I7a@=%^X-_LwLo?nO$?SsF( z>ll7K;{L$vF)sM`*LZtfWuf}{c&xkd2f`2i1U>o@@7wSL;<*6h4Sih^`GoxW{ulD& z^{8J+4?Eh2I)Jd_`UQ`??-_quuh4To#tZp*iN_4Kqw!t=kxP2{Q2>PpOF4{=c&+r19?yfFGCOH?YxZZ5&l5l z4|*PPz4Gnm{U8hR3e6j#=PdByIhX%CTCnqo_QD_QDeC8C)C)V$hxYS&c`|r~{P_M5 z$`3t|=fnDmcEc_&Kkp~R54{i{^zZ|(5W*iQ)XY z5Z5c>kq;=;U+7O{)w(KA?;g+GtT4?XfjmWM)hf>+4S^YZf<@w^`|%kz_G=lO*0tMIEUAKxCt3yl}-bw!~% zaQ+AD44+SEeC6#Q2-PLD9tgD`JVO8OCictGJ|TYa0O1drzrUb;xF7QKl8*T||F^pYI3op?=7y7cvm_gpB(>f z{_ulch!6I|D$?o2^~cO+jJpV(I^FHaqCzq-bU1 z;?&u8ot60tn+^S~EH_AT*?Q|$=2rceSy@|H+S*yJba7Ij{`Y^*Hn*@bx3#sj-r(Zw z(tD4~4wqg|4K|u@SYc&n@3MB4l+{Uj)#epeE=Qb{?5wR^CbRZK%c?p~&~d6aK`OlY zs}iRst1a!8S#Gd1w^?bv(az@IN%>w#!`BZvLMR+$#OQX$l8i*4j(|P5mYP-+%sZnu2sFj!bC&S8pgN)cgBC{%3@o8f^Ga3;wT( z>iv^wa2*mU_m(F34|)BS*5<4K@6^)P9&}mjEUo#7{>FCo6b_o!tG%~BlooyOGs(55 zh_v1`J+rTW933&ATsTTGk-ll{d(cojl-eB_aJhk+m@Z1rk4}6TKr3zzuGwegP2HA0 zn11D=KUuEbHpO^o4EuRAFzs}e2OIu8u+Pu>rtHiI%BWR(z}`!0f**F5umP@)a~6BW z(-yylX|qm;l2@~7TZcakCEJ|R`n_)kQ0Q)h0V|sLlXw1=gKnMybbPhnUF~`Plu$Y3 zg?@(}RMF0?dAVZ(8{4WyuO1u4FrU~tlSA1W$DlT8R~h@(%N;d z4x$b(IyDJaj-pL@(N|k852PHc7G`tHy+}Vrw6>vn9McL~GySQ4GA+B+jx@#xvwExN z1&>WmWt9buV>ZmnWCp`}xTcSZWMljnWQWf=OBItcB->YrNHgf`u&uA7*`+RDn(S5( zQ=0aKtDSVRS!u^w>xf&y?AA)9YRLf+b#bUD@tGb*#or!22_KTp?zMmDf5;?)xxU7+eH`m{_x6JU8w07;W5XwHu7=Z*$3EpX@lkAEdfsj0fCQS*#P!P$tr&7h znApCpYdqytdS2~2UQ89uP+ z#-!U9)@Jjq!B1VqEI!!4K50)jQ_t~yrT8L_-Fdh5q;9tavVCdXr_bs*@~b%Lw`1FB zrc!?L`kbaB_DFK#=!iM#>}C1BP09`L((Z!637xlzsPlF6ZUd6z8RpkOg~$IQnHu@`8M;WsP+#Q1^llCJG9s^bh6f_Vq#y2n z=!La}YO|{M`x_96qtna}m&cKtN|3|8*3s0U?BRv)Ph;7S{3_qfYLa10*Z7yS#EBGj zb~W9y36Wt(oeo#BW(HHEzMVgZXkTP1ZyIcFUlKy?2fMT4d6}fst7dj5#~>>Cp8q{y zvzWH$RyFK;Er!mlUD$cyOMgl$yF0Ye_$Uhc(rUnwrDAsLW$?r&*ayEr-on9uz=*65In`4U48uFBS7WRKsNah>Pyl|JK^_2-d)-pQ~~cV&6mG zIB01GQs|J}0aMNL2!7qihT6tQ+@q=b?c?v2-k_#htRB&OF> zlU+`C%pu3VZDQy543+g~`jl}&O%J<}L(;P4Dw6}~Swf#RNSmdqqe% zvp+KUySisA1Fwo#?)XgeT-kV>9X_?>cz~EbxG7b*Ir=iJD>n3gmQiF9GikRp=E>+_ z$_^_FIZL@@SM#8Ujdv8SAK33{#+w)>%Ts`2%$9elH0iSaqx6==v2GHnHYp%vOAQ~Fe zdGfC$5n0YiI(SSkn!b6(9jhn3e$9&;dVTFDp&q6q(n5z6G5EhYEP8+U*gd8qX}DnU zR)2~wzVW5sz;qh1*7j`Y{Ry;I{N~A?mO-?*Z(I}WO9^y-_PqV~auQh1hZYTP&I@JZ zOPX}P>KM%KG%V@t-9DN%>Z#TAOV@ZhbF7z}+2J@UUak{3;9M?!YrOJn$7rz(ecfVD z#}3P9kNP=oU-ezgF4_9%TWgDH(1*kmH{8SM;d0ZvC0=oi=J#@bYnnmx&a9+!2_jbL zwV{1(vm119_NL6BH5qJRmX|^Qp~3Vpxa*{aIuF^}Q`_Y!hh-P%#pFp}vn>%Ce@`7XshsJ69g7(;QBEMsPF^`&d0de4jKmds8E7SFzN zI-c2Ywrsb;Hk$3tNNYM{L?SEQb%o3?1jz1x%O|#ctGP!+rYA0H{aTqvPV3KI^?xj) z1|iyQ=HVWf(a!|G+Z;@%sY&-Z`rAiDIoT$e`HRYRzAzK=%({UC6~qf zT%Ue6$)9YauJ<<$7fIK5D}`6xB-FY2qYj7k@39o|&1rk{ODMm#^$BtzI`Dk)xs7Kc zX>9Jkr`;FDvGPGVH4Cdt*dFIi;ms{XtY~2SWBxPpnMz2TevR*!%jQc&eWzz*Mu)I^ zgG_E0_ytkb>_(FZ><_0lt@D@8yqH8|-Yq<{cdiHfYBYGnuTA-Mq4~kq4MStu&!LCK zF1Z=>7sk+fmsXwo=7dtu7>RFK>v-0~V9&^=x!0*pbg<>Y{V8<(i~g*#Z6P$H`t0K~ zqovO^S6ufW{F=|UIenkGZEXtM_i#uEM~7<zZwhN?v=Do8x7pY-afIyj!+z z99tjR!pv`13Tt@q!j0{D33O{mkL+iPdDOD%T|s02C~Et}%GhpzjhAwOJ;ig2NbRgjHlL}n~YO95JUBMr!F3^?8Bxu(@ZeF8bk^4Z!;C|d(zL6 z_aovR^QdZmAl>@x$8bOBUA(&XWKHQzNIap*Zt=DrDSKyo|Bs9)NFTHAIDBUnA`eIL=27H9+akbIZAdt=TC?Wp8YL{ z-L5FCoTC=YMtst^^>|nyp^6ib%2s&$>xie>dB8@WN zZW8L6!tfkc@T#4T`ld*F?Y7&0p-(Uylv_DePg}%Z#aQ}U1jR7ZLzAL+OYdL0_m9*J zYLg>dpOc@7ctUm zJGe(^5^MTxMBnw}9+KtfR-H4G;;GTqxnWJ3 z%V7@pw|;o?;UOEj>Rs#Gr(;-8*Nux>r~zQ zwm#kxVDgfJ4LU2;&%VPpTCP-Rpc+eaPcXHowZW96ZhJ{Jv6%U{nO1bORzfM62Ir?m zJY{N~KMooGB$i!pxW05+LOknJ+PUGvhN;Z&d*cDs>b}g=uI5g)*+*7%z0tHAaT0bg zsKZv@#2Sj)6+W}1Qz&bH=b(4RlxOrQ_0yhpA0lag*8vBVPxw6*@r_HPaGi7jBbAI!ZU-+n?P>3aXE z*!B3MATkemcCjKsX{_3EGJ zggpw+hhA@&L9Ec=MA*Avrg_g($b5q|`N-RZhF^+U8_FMRwP*ezi4>tx#KS68Jrn26@h0vqUY4)IHwae%vCP zD%VxK&sq1J-ilNt{j|l*&3v@6c4jPHs<-rxrkXpOZIo^|<#r$qyZ@%^(5}yjvRZZV z&%e$*URYdK@Xw}>UbDtiMkqNL_PT3m5KF5%z6m}yS4_!YF7-R>7f1(=Pak_dMNE&w z$M-q;Ig1h_!oDu6A5CQm{(3$dF?4qQgSN51a_HODo&|>I1L>7GWZMyY38{A+v2fFf za9VlrlET|@eoRTJjaj!9S`$wniPgC zK5=7fFhhHGH&3-|Y81yRJm&}Bb<1YU7I-cGXd2F5sJ3@~-YAalK5X8lxOoy)GVM8b z4U=T=Ws#q&tyGgNGq_ZE9)#d>iRcvLbqw9%L@hmKRQ)R#xk?c97Ps|IQF=6*)@1uC1 zZSU!`&+CyrYjAwekCEmtsgdct<3%PO?B>)1Z#_OHGIns_ln+LMY~{1#B?*=imV5JT zt6Ssllj!KKng%;cSN~ToO z)+{4Ck`1Zfxa0DeI9gwD>Yj6RdUT{% z#Cm9WZSuJxeIIDN>x+_}2L+!j$#1Haz%1)M%_&JrVr$)hen(nJnHeJdld1(q}k0DsPi39fzTA_g>D7ru%^vi+guZ zVL#38ya}uy!#W-GY&3s<8S6hl;l_T$$E;&l|1lpnh7#V(3@=nB7k0^)&9jBKyFJ@p z6UyGZJ3m)C9n4fWe7ZBK!#$?l(lFEZsED3SdGOd}TPiJCn)sv4Ka}CUd35c{?rnOC zskQl~p3^mgS&a1!i(7#)EUsD6*ZohTNTfJGSLY#7n=O|Wnnwgt;mbP)fpKCsHL=V6 zo4rGrmST%LmbM~R^Hi){wV7yRWSVl*12HVSc&)C(>S!9%cGI5vNzv@;sQp%vi~ZTe zmnT|C#^$hxZ?!JWsH~v=wv%q!k4RuuKG#x|w6d78dO&%6d=NWza`^X7PeK{?#iC0N zBur^Wv?%fBggYNo>F$8E4;$7zp{SN=L6O_y*~O0rdQ(lJ*an^VXZ@W6S+fN(mg8GU z=(N7xtBI>6%)+#fcJtU&dg!XTWKH`hRxf9)r8qH_8kiOxDsPm}s;VvWO7as~WvfER zE2gom=N7L`qn4#JtGjAt{;CoZ`}BQoWS_+j$1hUvua&_r*c5~p%ulDSn|dYg$p|B_ z37ux@g+@@uVf#Cc_eD`Rr5BC7N0zcTW7TFkpBB@zl*JSJ>7}t+g*RW{Ht}cGr_Q7& zWrxtX;AyFsOT*ck^-n|UX@s+mQSH~(SU+J;HGNzUw~+3$sqM0DRvg7Ne(g|cxl+t# zxDAQxzB-e&=`u}2L9>VzxbITgYx0!sne0{}){>5M=+oGZLAh+DTh|w+5z=vpeP6m? zqln$AU0pFHD~Q>tN`~CNkvioO`qv_nk-i}1N-(e<#H;e8PMvcsn?d%4cg zlk9HpPWm)7ot})ryJA zM^TzK#|&cG%NmtSPfg2+8mK5~CnVG83vc~PC|)*?G!E73ZSNCG^G^8b@AM~DaAN88 z6}>B%;*Jel)TQfkT*@=o!DFAWEuHHZ7(KhkS}sa@FiqNiuZ&&+w+_UyqS(_;J%5BT zLyx0-c7;VTJdd6~Jgw)D7m1{*68F(zA;*+Z zU$rlZ)UtJsy84k!rm1^i$sV6#8oucDW33O*Xnf8F=NC6U*tYs{o;tP?T4yus)Rv(! zl=OXr-r39y+S9K2JFgx&^k!M#twpu>S<%uqP5QZJQ-R*&!|GQfS=2fu{r1V(te>5( zN5AlVYPR}b+ws;SsxsT-@n%ao&HMi5*`v3iH1=6c=e|vdDnH)P@xPr%1{<53++Qmq zkyqDiDilK)H`7A9J&n$ZSWlnA`?e`TY~xpB2eWRml=AEP)x*m}$#`p!`|HwZ)_h#w z5aXOc^01#<-)*sUAH=uo?O3D#+3(#P&`&v=<()3k{H_?nwsjlYg*hjX^4zAHCyu+z zp5xO*hGRY#hRXJn3>PlZ)Kg9*?4Px@-lr8;O6>Sj=QgG;Da@gKtM#*c*Vt$~i(xZw zMpE#mUGG!Nq9~BAc#*2Q3U??h0e{rcEZ<_ke8AkmY4f zCFD|cqo?haWZC$b?DeR1%S&eW70SjbElHqj$CS(a`=&Fz|7?9*{j&Z6cM5!>^|E!S zh}Ki$nCw|+>A>2!Rku!OFzh33@2J-Fc)c7tp5QomsnTProP9C-T+a|XGV1xv{%=zV z_f`F$W?gio&j~?S?+n(nj+gBlVq8l+uQdF;B$IXeuzlJD>9_%xzR-@Bn2RWH+k{9D z>u~Dd^{sC0=yb|C9`LcpKoPmWH%=+4kg#>H75B#V%pt6=C29|fOKW3kLa%`f6;?{9 z(VNX>&2>YmUY~#q8K2|m{pNzCqKOgAuitjFyx;)p)aXlWSy>p%+Tc87 z#jN=nk!1FuzkRP<3H!Wv%YuI2J;=P**Lk&)Sms}AF=>%nBF*pCe!&~NSn?Qoevqn5 z2vs`V={5S0hz01xu2E1MR- zeZoU)(YF^bO4%O&_Z9u0i7E70@}>Q4#nkP}fVs=nOPPmuT#WjtGTJcZ?Iy#bWTutZ zKP_QN8q-r>`{ZEBGtyri7SG0qlkVU9a3A;1amx*hp%#X#>i5ojO0f$kmVGKqVkLS- z-Sg7#GN0l>14|uaW$(!$i#G13v`qFe;8bklo{waFW%iV)*htdtIel#I@Nfz-Tlph< zVKMd1k68Vxdki^8)bm)k!a}xRz$VtaJN@Yn@(D||7l{z+8t+5Beg%>0ldpx_f$`m`g1?GBDOmDnedx-a}XLA5H8+72|SJiS>&OCHR8*H-OrnnqLmtzMDcKask$ zUlL{LnavP4_0_s#@24la-l+8^ z?5{lS9W!-a?+n_zbN_?QCqiV;gF9}o(@pX^D_fti4s9&5%_%pR(EUES{-f3=Q()V$ zE+f3((Sa$SKJS+9H(9Gr-r^o6X2E0cR_2vN&{E@O+PXg?>EW5iUsbG<>FcWFn~eM< zlwUC+XGV^QT~jHzo_#%%29b7ZY;h9v^>rRJ$RmPAoU++zniC}XA4g1Y6a5lc5nCEx6Ni2IT7}1^P^?o zh4DTHIygY4|{!5XXfyuCDQL;Ib9qzLRh={&kFSP?y|lIz6|PD z^?@B|cc=H~5&3LsTg|rn+q`8%FHG@!Bz+z+{!%bvd2S5#eX-<}j>$Fhx$CdH?^6ad z9)9p>%*uMA1M|ElWr%}FJZr?X-9DbQv$=M_Zg&a2ID3DBTY-eG-Mu@q=57XS~y0R4fH;W z3Ew#fEEqX(+J``z7QR_^V&99h_qHcFHK~n9XHoj%rkAd6^JG?0^z`6|hU2iG_Gn2f zo6r^El>hz5?L3bV={~QM(VXoPcFbPoWt;8svi0C+X2z_(M%)*QebZ#qZrm`Xt$=Sm!cWIXW)GT_f22#oo*{4 z5@^JgYu4U=_gR0>Ln`+r((mwzcSiZL0`je?Z*jk8uIzhNO2_dfy2kO;Fw(8>Sg%rM zdRj-XZ^tBteg49}-ci@gLfFQ@g!&)mq>}f|HN#Ao=8>P%w2r=E)w1ueF_&GE4)n@m z-JFl!%%A&+4c_Xydwb6qT99nmO8aXV!+Wpg-VVn#>?@ie-86$N#|z?hg%oO_Fb{h8?5)V*BnVH4Vu(AYs{z^s&V*o z_WPS)!g{qd?#%@-7@X*O##WG2PJDM0ZOfd!y-T zeQki4Ogd>k=4GmaB4f*>`v8ew5lEyK`@{*_0QS-o3tr zu$i6}8x))aNh4#xsnxsE*avZBH2&Vw_Y-gAvY*!~?^q7; zA&toe=9MptZB)O7C8>ZvU42x-j4kdRr@Ut;p zZT-a5{6j&g=2!{Cdh)gAX87^XV$$oVntv%Rj5?o>I%g1`N!K3@*E_6I!FFr1v-9so z(D^tYhm&8V@6rCdwL5GR(d|ojy1Z!;%NCtP7Clq~%Wveuq*m%k|DIs31kl57p_H6R6UC_Z*+{AZA(8HuXS@aKiWNrMDGkE;S4z zYbEzRp>{E>kJ;e*9zG)WZErU#SL0NMebu+`cJ(&06tlKzm1gT+2QaPgHCpJ4 zAG1z*(eZ(E@6KrzLlL!kOVX|4X~E|eYeG#DX@l8<74?P(%hs{ijRNAEors_xlj=G6 zN%x7At`*fhcT8c;mG@>F|0Fi}Z9p%*FJk)sVBmUj%PiS*6P}+Uzkm6Z5$8dTJuL1w z4vuB}%v+BbZB|aZZ%px=EE3E1@4tn$iMYxRi14#azo#*0;vHq!Uzuu;YSZ%oqZUa6gz&bLrHUD^4f z?gJ6qm|dFb@r9^!=N7exq|eiMzI6;Qs8*Hs$H}DTn)S9nVlQ46nlAehz(hueo<6N0 zQoSDd`D}8e?3@J7Ej&Gk9_%wQd1pOt4k>AB)%Q3~-vh!!t zFE>|97%bgKJ#E#?;$@r+pKH+e9$INE>Px2^fiD7RRd1W{|+Fs+j5_BqsN{! zI@oiiqJJ3GjHF|a=RP{Bc`+>Gw%3la4H zw`gMfJyEPdgr~{Kb|Tt-@t8{LO6k6CqZ;*ssu&touiv^RwnVN~8q-P!hm*p(CkQ%eL`Fu&u!p&$jowC!=uW(1dbwX1t5n&w>D;MkhW$6S ztIq9>TgI}CCc18Z7CG!x{ku7z9u>0#CbyJNpOtzd$ zWN3g+w|v>TrGhzz{U3K}>17;;@>+WZ633Y~JFOri9>|IGmQXn-X6Ve@eI^Y)xp z9`Rvhq?W#N!gVj%`ibvcZ^rHZnC+jw6tRsBvoQUexc0{zDDhYR z@G$KZ=H>Y5)3re_Y4q;QgbR=I*zl#hr(KvBMMIKQ`)lb3ve^SyUeX>fVfVl2w&@)b z!K&Xm>4g6 zk6Be2+4r??99wKS^ z_*pSsy8rMuE=Zo)=j#4w3JhqN@iaS0cE326_9#fTaWq{zu(bF2sTE8w!(-R;Ar;Kr zh zChdH9NJBd}U-lki;uKOkVsISQEK#0q^Spq964je6e?+Wz`^znvvxF&()9;}dC80LH zZwfBfo~OHpqneogN?>@-!g_J3!0~5pgAjJqLaQclTLS4?#{`GH4QHz^D;^oPsDu_a+}--?|l5xchT_RXo)S%mkice}>zoDq`9y!Bgas}4`o z@p1Q9y|${u?4~5JN0C|Ar(O`T*jrWWF5HV?g(Z8N&B&1MTLoUe{NqL@n=)hOI;Wxl zmXx?#?_)@u?7iQy%IRaXCSEMVp~ALSI{u3v*Y1y2DPmd)4F+ADaFwvHh3DuY9^m$?~-D95cafcQ70A;ZC;(!?H;GnW4pN zQ6&3oe>Q>r^}Q^S9q3dYbV+(Xw^h}ZQ+jzJ4ChUajazAS?{`Xej<<`0!pWKgDqQnz@V^I340=PQ~YEQ#Ec!%dLCF1PO+4biVqR6+=wMy|B>2>r{ zY`<7jM9V&yyE`^;>i|JY6D5Pfo3(Eb26WpHKFlbaLS)K;?_^zJTVbN1|du+j4rovjR>8~Zqw zb$i#lAj2t^HFDdqs!38l^&PJGprfLc|L^k?D#pz(==7LDuiD<&9QGhqhT+6^sVrf6 znCDb+F2lab&CHGqjZDrGzDsE6xIVA?kwrI#+&bJnT*7RQZ`jxJVmM9M^!mo_NhuV! z?DN-Wt+Lqo!Zp`MXeP7oT`UxLd`_bM785Oe=SQ=Zhizx7H;81D2ei&=;ugy~8+sZY zU+pjZew)8s)1cHz`n_?DtZhI!kO3nv8NOBbJ>cuFWQ<^ zXES`S$v3ea`*KGn#T`0acq8*JyA{%if$ocCi>@&59mh>=f~8aX1q@xlua)xuANOa7t`J``fZEf-eNJ; z>$Y9p8O|1d>27`DRvN?pqQYqH5eKIPP`AR4&w37xV)-_@DXALwsIym#)EU2?u&*YA zlV&w4V?*oRj-PSy3E9t_Sv0Fh1hsfyps-;0D>m_(_j1LHL3FC>eAm`fi`aA4wm5&p zL$9G>)@m?mhZKwJn4&wy4RHS zR0AD?#&*Wfk7cs!PJ7Bz zluOu{M&|abRK*liyFAJEwOICDa8849m&f!iWOk=o{;*pmqU*V%tv*T5(Kb|#Q6IkF zn=Mj3wB+be5!-Z1++kag^nB0o4MPJ*7BD00X6aTRMKrzbv}P3@9>2tkdlj+4+{> zDCg)A`$Vj9ea|~9=^1%!{gTt|YzAx8HMG2sY8G=;QQx>SAckSxQ#~f%FigPihLnfv% zv^VZ!i`DfyC9-rw|2{oEB((m3+s|=5<7MX$@VtZjm;SaOJKbM_vgeH6*T&3iTaioK zG?fD{`h}BgbJg_nv=G`i=%%Y)zd)uN6&2CIA(Jk5>@#=d2w#TZ_XJxWnq(xcYmVVS zTW7;WhToB>zxc9ak4_3Z(d|kvB^FFZEl0;)42Yo=8v|3r?w(|uxYNTyQ_Re)wH9d@ zXV8wX<0_jSyvgvsWTVr?(ATk$+H?v0_S!p~wI7*s?xu7fK=afx_jb*szk~Yw+*eF# zf=9}_GFJ9z6??6pNA90TTxojZAzNy9>Wgb)0o!un_M)Sak+SdKyQa3?+`dByt+V@; zJ-VKVaNVaCCV75aA!0j}65HfR&wJoLu+@KJy@BpIto^05g4cde*s*c-lIA>$Vl^s@ zls@ji&W4A+Yj$?x8;X28#Qc1^n29$ue6gip80CKo>~-L445@D_dM8PceivzSuilS4 zNwVKDg>0~$q1mE}E?#}qs@;qf>Ui5=QsG1qEo>any*oW;IG<|ZB`RLvAYzAl%rxIS z=O^nJ+c;%klXTg+KuPbMK{;1a8Q$00-x;o6ZdSlfefn{9qx8I2hWFW`Mf#a+?)rv) znSQbCx+&9KXqe6XqF**FQVnJWvpxEDJXFLq-j3SZzG*DO{`SE6%RO$kK1bq@^Jl-5 z{*DU$a^?Au5z{7%7|yw8S6|9LQXwH-r_L7-N5rz?T8Y-j9(l~S@ztHb4yQ2fM!D5R zeUfGGOEYt9XN4^ZXQ_Uc9dF%FVyTu1s-Fhs(#Nc|gSDmm39XFrd`Nky_E9T_i{;>eII&qeC_7O2Oh9i zkLNj5{tRHdCiHDGW>_Nqbm{xO=c-C}Az*ggJ0|^|OnHiz_;Ctrop0iG+%S}3zOPf8 zJWcda`un}2n0Bpuh-h6~9V5lB*=*N~J7yx|JFNV4$iy0zf93o5yF< zA-lNg1sg?F+ss_UFh;@#&086ELoI=&9@d<`q5WRc{hrdLUwskn6)iYwbMl_-JjHHF zw(WT7cPP9k?d$sM;=_Ql0r;~xw?}*)Y{FoC*A02KN8ct4>t-siRFShq@-@29p>)bswk~4^kqQ!ECMKUox>2`Tou$nwHz07h#w}94r zR$c%3XZT4fS(WL+s=C9Ms4q}-@1oZCLwkJ=`)f9k%p;?_?bgNt-csuc1E*zzFN^@J4L)(GQYIgX3gFxh^`PX9u`rg?Es4>{CSI;Yd5h}L25az0e`+e77R-VHCb4$UL{ zFEhG^DE%Mva-3RRrwae1f&I2qF3-*dgY~r6k6e~af>(1%?-iRB8))5DU(lg&$(9J> z*wVY&i<aF3aU(aBDI-vchhxUbUJ;UFF|z zTT(+tna`D#u4WO*e37-emT@GRV|TV=T0W5*brd)%T2JQfmRe;}n?W+Q6mq&&ra|_b zLobG+0{-WU^Qd2*iND)dGRUdk!u^-CqsWlQR93D`$Rr=LM$z+>tT$J#ZQ&>< znB&Ct_P40S{GcO6;KgRMHv2ft_~??rxh-LtIeROu$MfA}Sy(5S2ZQ_U3O>d*K&z!$ zec|=*#P#dPx%2w7Xy09LhvTy+JdtGZl={}ILQJB&`q=}Q&%UJT?V2_BBRlE)7W2u! zCdNr@2)qDxpidygXg!$d>I7i4XYmH_;epGh2~a?fmte9 zu>bX|JKEJ$PKd9CS1>r9NM0ZPa%!Lq^4@Gw7ZAuK8xqEKTz3#j|wP9*M@Qln}`4nhBDEehMZ!_k0CQx&!=MjHLDi>x{ znV)nB`WOn`^ZD}}^)jGNUE-Pk%b)P#DAOP)CWX$`z7ce)Q#Z|lfAiTSI2d=?(~LyK1mI+VuyD)!|L(hS zKe}v<+B)4|T?F+U)Ro+>@yPD|(?-hQ|IY2B@h`=2k(3;{gXr?eLj$c^U`oX@3Y z9&0KNuOsk!Tjw0dWElL-)od}!pnNUHBkA{>NwyC6tj#z5XdXg2yWTKQbvCJbGHJ(l zB$b?fuO)K&jW;>uVd}TVFBbG!`~5l8D#*D#I|Ht3CK3F6;T3rd$OkZOYRdo19Rjh# zQct?}Mv}`c&ySYLRg-f!V&xVYCDWh(EmOhTfjrdyd1jx_qwwYYhsZ3#vHf2CrOl~? zGrC4SB(s>Pb19od1y_*JS1+#coUMkjxdsj`pOeVKXKbsSsT>=w?^(Y`7198 z-D0thD-8tCcbG%Amzh{Q=^8`(w&JE=i)=2;1zG9iz9DR>Q0B;(qhDA_B<+^4Zq18; z;g+81YUL`x{SW$e%dF4YELxXF&xaitTseCcvfzSR*g#5m4Rmb3Ggozl^3}}DO{11& z+!D#BbiMB;U-NI~6MjG0IHOe|z;4sOw)aCitw|jpEaNBuTs8?BKEVJ<|dQlndH7S zYYLtF&Rt%xP_x{r*&T&T?{j+9%cWWDyzWxVclwrHK4| zI27YV&2MlYj=ucdv(`3`rkUi&uQTD?TN1%OE|kY*I2D$12f4bd$I|->*73QOqD_f} z?L)8IZ{Jj+)~WR_aJes$+Qkyzu{Q*8zq+reh{L&r%JI$kaPpOG_}|a^4Df=*h$|(H zU@l=WM_PD&S0SLz9l<+oz~BOc@8d1)6aCg5DI{P{VQ=$9207gJM+#n2pJ#if%7dSk z1oLeVbD!vM9!VjoO^Kg)DZY*H($LAJLJtUOKORv=&E1eUlP7k0)ik#+aq+N!{$yJ$ zycb;g$oy6Tt#jM5PZl|j6%g5``Wpq10Oi4jVr_!y1oz1rtfC%m14(3K^Xes!Pcfk7 z%whjv+f3TWi1PsSmu;&YpWJ^a1vZLWOnyC`3$6PrbQeXJLu2E5g@`I@{v&I`vZ*wa z=I(GPyxTmuI*XL*8FKFKZ-zPPthIu%$zaGYW1%Jfp6oxlw9~_v31P(x#C&tOc2X`!u}2 zaKCohvvxWuDxI7gkFZmq{7F86FIa!Pi-pTq%AS>;DS-=?i|gJbB$J_?6~fWd)SNOm z^V5aqI8veT@b)k2^~U*&Y9!yS>Hb2Z*?ix1lVu@UDse`$J0OkTH*C9q{X}h)7Zfh- zwz;p6PE7OVRHh1J337MvT)%9!`Ipxhl4+l4_UtV0<6E);^F$t|iS=Jn8i?&`BboWL zPSJB~Bj8zaq9Ka@ca;fOCRy(T(Hp$RXMCdq(Eo)wWrL^^!8pkzI`@wJCtPnZ|L+zP z-dkoJ12LUq&YA~{!8J(cwpLRGNPZKp8m4@>>K;_sYfBQKPu!44dAHx)C_2ZxGko1i z`(0J!-{&y}nrGRPXN65fe9H@mxqW?f&SF{OhCTaSlK}ZrJ|mxnrUi3b5G zkWb?Gcr#$3zuq1NQwCAq{AiQWks^XVc+|V_{#FPpKFE`kLEhXrrnXbK1n@bEb57^6 z^-64&ZFK&6?)jGNp|N~|dgPa3q4u96(U4XYeEY$Zd{T5E`AAJw9SIrmI5$3&PCAv3 zk9;@wg|Q0jU;eEDq+IIDP;_Dx9Gg1!!Zwt8Ui+%#%jPl(`h%DZ<)&MY^MPfPtb*$1 zBrX5Qv6>w#sT3sXX|)$U`;2v5w%nhxs>LM+Ml=o>Q}o z21S|PfeMaPu)UFOZoMN7aGrSg<`1Ud(bzn>k4x&L_= z0Q9}j3w3Wz=`ACs93l!ElH*9eqlAuLc_z^pcbJ62R+v9xrXhc_3d|Z@EgDM;fL%Ez zSY^$B^NwbqqQ@cHt_3*V);qJ+#xe0h4s8?}e7H~z9 zInK+wtR^eT#xv~|?otDU>+?|cC)F%k|5i3V&GqROllH&28gFC0@FkPr>xh3(dw0Xn zr^_>G{)_+*6mI5-1>}!iB`R-bHAg|CtSgUSNjkyv6y{%=G~L5*zs;d_@R&Mzfkms^ zh#S9aRNIa!FnD|5j{-+Nt!vD2D>+&>;YLiKeD%~`PI0&Db@C6~_aNGGVp8rs{v`IY zWC_cIBKmpwQYY|~OC!a9`S^0|6Eht)Xuo?R-xmxi86R#KttkRk{e34++(?E@-7`i% ztrB7LkD$x<_LURNvwf^T?-@hgp9@YluXrxd0=g@8Sku2bk^52M9;&7>q)wo~t9KJM zhhLre&~7M$pzeUWF!I3A@Al_c_cE2FSaQbaw(4i6IO4J_u{rV!<$s)+&q8kqY!)#_`wD5!*Jy!vjsR>%+5=qPd3QSrxGzXf$cP%KGD=V%5 z@b6V~wK7Uo2JkC+6U%&>L;I0Y_xizjr;~cMlc*?oUQHgMbcZ;FB=aYk1UX$3i4l7* zSY*xkKH|yRa_JA|!%;Kbp<)mo%$@IfsfHYVAz&_(p9@lwPfw(~a?Q>tuhxUspwTHAPZKZrRPm7j{T%zW+K@!GH(;D(}-Z)R4awMpl&wVBG z31HnC)}0bON%ZT1{HURe*0(Y>;{o+4oToli*lqrupFxH!@C*DL%3+VQUgO8Ia*PE*?pWTHub! zGK$w?c}VW!!2psO^mBy+R~qp;-X-i(|AjnEjeDy(l1%v4ut8fzHcYH}maOw811@zk z_@1*@(K$_~>&quYvaP_EWN0!=pbm~6y0|o*;!6##+do#4-U#IyZx_4i6w~@v|52I8 zYvxlq<{4l0c4^CY?vOlqx%5ZfLv1DryJuLoVM!iYADw!}RLB(;`W7p!Q;R1oxw?jL zGb0Id-nOZ#A8A=v3i$Wp>(M8_uPL2!Wbw8%i^M)yrlDh$BW#l#4a=Vz)9p^reliSKt3Mmoh{Sy&^@Rj$Q=D8iz zdb8m)>uIf0VtXO9BVqnKIGJyw$X%F9Z52+_a>7(I`4tGcHIz}yEeZ(X*btU9N!pQ1laFt{3@L!;xL@CIY_D{y)s~|J<rG;h%z}QsrzH+=K498{9JijvT3NB`EnXZ9hV?kCZ_r2wArn=PYN zGXXUq=0Byq4ve0X3&%JPAus z)Qp3YP3kuSsr_bX%!Q)!TB-1KOZQWsS`*s8uyFpU;1!Y2bUv`}t=l~gK`IwN!#~4w zqTZejB0&KaG`Hfj=oPs@w?dG<=~Q4R)JV*P6ZXXy_(AS3wMQM|_X%=$W&f<02wU+A zGP2p{J}XHh`|6*F-Ym?5J;%1&YFw{_>m4UV>?)|dY~gT)&WcL%TyxI`F7^sy^h079 z%Rb5%wcz+`rwK=Zsj159*y;3V9@;NjvJ^qYQXG=C)QK zIFaT*E|PXzr2n&;oSq+adCA;z!eS@BcvvQwgdd|HwWD0|?>BPkn6wh30n)U0SG$on)B4gGMlxQyJF zsWJaUz26V@gs!RXPop`+UwcgT--cMw`4{}$Sg%zQo!yxazWxDC!ONM@m~O1(Ih0DG zk_{KjPEbCh8SYa0YNe5nZndPdZagYUF`wAUy^3o;%z%j{8}&7(iirNu+A-UQ1*FnL zrl_%%;*ad)@c*k+Km_e>zHykJPIH9u{QK{`RZKz(7HK}?r}BTzrAr@MHGqqa{hV2j zxqx$?T`7T5VXYmcVgvD!xK>6y!@Tm&MPvf>u@OVX7}_z)DFy-M*r@cmrovGG|x&3QF!UpUKnc@yF1Iiu$;o(oM0E{wID zt)TmO=K)X6BB)!vH{QUvfaWX~zr6TIUZ95DyRU6N+lV@UTcw>=Ype#f@yBw6%736Q z5$Ce#Q(g5d`}%^2Y>4dM!wmJvh0XlSGxlB0g)Q>=y~jujApdRk3Yi_IB|`-7UvGoV z>bq=R#HfA&^MDeS({4K+vOksqbKE6(9?tb6G8-;@T64CEo`*+GKHoq6HUQ3a@GDoX zq4>+&rYhx)lVME_+eB()y82U@LK9Jqvd$;QEhx z@c+GPJdZ4YTbfPl`S={?bx^z_ELB1-)GJHOTarq1oD_?HmvathL%8F+Gxs$aq(dnx zJ-;#s1luf!-`*M}-=1C9EPK@VKi5CU9`2PeZzsq%Uvai;xmQXF?JGxrdB}1xtAXwe zSl4S9QuCr1oTl|T;bstAza%_mF>HC*&M*kG6L&f(yk@xxvy63 z56bU&?Xt`lmKzz+FU8oMzbXb=lLq7UQYgMr*r~5euP`Zp+FiLHdcDM?XSw{^;tcw8 zHh;Zn|HXbY{4i25*ucuckNyH7Z14Re1tb zUI=dvb*-T1wV3N&AH6ff^GgD`^1xffw=DxEgTKF4KI%`pySHyGt}B2k>!wiWE+(Mv zb60wMp#R!b*mvgm9iib&`Z;hy{ayAW!Dz@y$!D9qQ9v*^zmC%xHi;y|p+UtPCtoGd z*I9*CLG?Ne`n+qMUfAfQnGH$x`XBhjn1tL8>e~_uG#BBZad4p?XCschbufCt-Px}nbR*OW1RhH6v8tR9$2J&K#$JPVy&bqgUeO1VY5J8dErj*{y!N0)IslXZ_Jzs}^h#@0AMKBC#GZ{n7R3ITIEIQQvaVt$KLr-J73?@`uywCl`O z@_S;gjgQ+1M48HHEqjd=Axb_n*2l?F}m(+{CT9 z+KJ4Nvz=vr5}jMb`>{j(RBMfKH|@Jl(P`FIX=8w5FPkY-vXLO46}deF$?=nmsMn{< zZYTdD(QJ5m^m#(h!wj0oi#kWFN&{QESO&1m8Gg^uFD3stWhDgXUSpqnHaj&Z!teL% zwO4*Egl|n9vp*_l{fFD=5s(98H|5W^fa3a2b%~pc zu8ATBQ~Q=*n)Ic)fDJE~bo4j}(wt4TyPvN(+b0p!W6#dxo#(kRjn>~b#AR;cs-f~( z3D=Z5LNf@H_4b)%4wS!1@7}HU<3;p-AM>H9FC0JmI8o=3b*w>ZdXu!Sisy3Vr=rjJ zuCEv~WosAsH|ULa9|#BJDq^-hAP^ z;2kO-mGU~iDai*4ZfqH;Dt%r^N zblq`)C~2QGm!$mT>VrG#Yix(|g(i{!f8w0P2GOJ01snOb#nm)uP zu5HcGQ~}MO{g>Z}1H57{OG3#J!>ms^WUum-D_kMX5GQgpAm$V0Q=IWVKHK&#DIqx= ze!dQlUp7(#CzROqbr_j&>rrmSXaWf~P3Qa#jREBJAUDB#w^ob|dmNba|W1U^U6C!{p_v3}>h zKAP)@+(yAGVQ<8BGsqeJ!*?CaY6)_Nk%O{jSj|Gls+=G{TvxI4j4ltwMYUMY?e{vH zAa~nnh65k1B3{%`%p|CzATPhFLbSx~3jq2yavLU0pG4%)=b}?nr!3ms(m>tdzPX?K zAZ%4DKD}}>A9CVc1;o^o0sY*_^B$_%zr&ANL#nQx)65C^2A1_ zM#K7C)rBq4eDcr2*VOs;g_!KD8iN9OZxDL-G{w7~?XxhJxh9*wVy-d!w|sEckxOvs zkk0=76{%$4yXYyCpiKHcuL$(@@>EQNph!bG!4=fLLEFLMs!}ExNxx^g@QeYQI#);- zJW7QHCcO3M?q)#m8sV^QRVlDSD&5vHssfr-GG97bSHlwT$ud9J3Suo=cl4lZ4s7^c zuNo>81FMq1pBzvqqkZJdPseW6QOzbf8v~RdAIc|dRsX&t)4729q-hV&w%4yRA$%r> zAETU?C@Y%;c)emgwPsgS6cj4+>(8d<%I(RLj=Cu^us_r#75?Osw26@o8FvyvxNFzs zR{lKt^)q`ce9%uP49>Z1xjDCsz zGog+0=h^uE3G3`-jWlPUNy6C!rYkO(j8aw=X66I*ZbphHjcqHGpQwh z+cUtiJN)J4n0UBoBd>4yF#)i@1otx^#0~famehh{Ww(`u8v~4^_3zoeD~F!zZ9-)R z?XZ7Q(Bc;|nb5i!IGMo5mn1#!IKM^ zN3u3nJl~ic0O_Av)F}oI4$lfZ4q!c2n z?`GU8?E@}%3&Tn>E2v(XyDg@>i=ZsTG@4&DV}{#F@wqaVNjI1zL&?6l7dLeC=sY$0 zi|XDQ=Uk@x4pQ`8?ig`&5H7g4q`T6OY}C57FQ7OR-hb5?<)!+E>f$Xs0zKp-) zoE9i=VjqFs+kzGy70IAEpLxd~djeZMCFgh{gIqmRGo|hCO(In<9iOE1a6H!@EETa-Sw!_@%>%>_Rl!0PmVjkN+3mQhg|#wD8GF8 zP3f)jhsl#jwU2u*MyA;sR8_Dxnv5)Ey3$&X+`{5$vA>}1Du!OIc2tw zX@+QIAz&Ww-Nbyp3mTbldgG>mH%SSwYdaAxFfX9^f&bP+DLs}5os2Ak+%I0HDgV!) z96HR7=lQ=1UC}8V0_Fp^IzhuQ#fPIj4;m%5YTDTpQ%kpdY-%UV{H}LkxIdm>yq{ zl}D1AqC;*APBiU{(*Ep^|8ZwjY+ zz-D*}*f-MthppuPY&Vebb=hd3ol91j>Z&)yBvLvbXPfU>6retA?);Z~x+tIEeiNTJ zsLSb=G+p1sQw{46D@=27Boc0h%XV%?9Hh%Rrn-ewJfNBN|Jr+Px%Rea(6>ov!^R>8 z9PO4r#1@_j$bZU`X6Kcw>n0rC5szY(^5Ogj>9;xI2~fK*o^RgCCYrBI=Rjxt&)A#x zxw@)_%ch6!*TQ}@S` z0-WEWuZ^wQ>%&LaSo*%16EZT&@;#0AC*%E#erD{s;4+QX(pO5L=Qrqw+7@`&Fy}!F z`KQC=0-o;+UZ@@$(rpEnHG4N&nq?BLvUM~(YN|(RUY%X(U@4ZmROAHN)%Xqx&V9RWPyT>}3_*8gjq)Xyn<%a>Dse zMK@ct3^3pRam}T8j)fVJwVx|}c3~P(OVai4(u{?l`$Jagvu4sdBXXtIp0wC^QzM<` z=i}Fy>&E+ZKFg?~jNN<7Gs$!sMX?-iL}Wje??&!(sm zs*fk(r}XI6z0LG~XlcLlk_CRnL5@k6M;^0FrTL*|ZF_A^0;6fYf8mSD zGuM7o`x2pd+ZBT2>Ha8{s&74~?=`}~20ONEG8Ir7_;v4xtWY}7aqixwi!3q8fIN!+ zfbYh#a~ZVn;z0R_t7*5WIm`d=he`wE+X_ps*wzB(7VuoVbEBWwZ+$nD?z^l1u-7i|TI$T4E&$}``A7+=XTa!mE6dH|B)U%#brS5G zye$;k*HRcqxboloEkBY)P&X;(bm!ER3ZuD0qjKB#&M9M%zhzZVrDO9+!{U(DvD#Em zpQ%Gpd3zs09sDti%=c@&g*4yW_^P$|!L5;mVa%G&V_8A4XH(g{@@)i_yQy6GY#UEh zCCvRG5~KIi397$q^;Ksw$l#HlFQ#0SUub51(HRYrHQJX;>qm2Z_$FK>5@-%aZj>6g zOK>&}Qbi(LUPr;{2d~Nv0*lGdsadbib9NByQ9%E*YI+y5)xixOI-OIKr{){jAA`M} zxIV^uEPbRKQb+Lj(3J?R@Y|IS3yhvT^1fF<>!AU^2B9E4mF61NObf~EjE*OR&VF$Y z-DPxsElAO@J2pB7P%p95ue~$ik_pH~oV9*ehup(-A}`ZXI$O4sBpBcEDOOFT_ld7{ zZUy?VQSZY{zbN)o4y-b$O-u*@x<)&x>v)=4T`;*$XO(=dKHO zEonfO*`&=+e~>|Nj)d!QmDOpbgL5c;?hLPJr<7oS&bnMczJR9lL*Cp&K?L`GwRe7y zG8YEjvy`25aK#_jKAQiEx{EE#;lZ604;J-duWhaMJLQ;wJOsOjQMIcqy#zT=#+Q#x zE#6A;^(CYH1h`UYo~4zkO2?Yb3Gniue&_YgpGjtbjVr4}EJ6Q0awo7i3Hi6UPs6L| z!d;d34ki*o(+N-2Zwa8Y@|zV)QxcsgcB|#v5$#?}u6T2{mkY-M%Scb1JZC@n^}ja> zpmeADJM~%pyi6ESJpQU5{2|0w!u53FXPTdmbA^cISuZ5HTZzH%(%rnL;sARef8VjQ zD;4-o_nFSCNr}m3e*oAMCaKD&`1n#1wAs!T7157@pdB%0CyqDJeL%=(8Ll|6h4mQ| zmISp;nR6GA=O0_O9k=CC{dixxy!TK(wHd!0@=6jujwUbZ&7a{RMu61HD@G%4E1`|g zLa5gRBsT{d&JCj`w$o zbq|hEei*y#SN0Z_WZ@~zeEE)QQd86arfyjopzivWpUpRaRVHYi2+)1XOrUcZcn(H? zUuWGJ1F==d!TZMS-2wLHP>~*SQlP02a9+NH@mlF>R5nq*DmQD*%`VX2r985yEQtQO z$iLPGZh|ePDQh z;{NYJ`i)KJ1yg5u1x*CMAGubr?DPBzGN4s2Qfc;{=<=nudHkpa%y}sq2AnBhQU;h$ zPT!U9AXyUwmhdaY{Aefe|A@Ud*_}l5L)1Hd@4b@}O-g!K@co@13-u~0yAnS`;MQ~8Jnu_Lwb7Nh9JhG7FH%{h_|R>qPa(I{iXXOU(r1cnA2(= z+{u5K%1_IFub*E)&9&Frz54KjBN>oq;hku2&is>4aIRLB%75dELNT2iG8@~{?%+R4 z>-kORkBQl~l)y%r2P;(G)e+=;wrS-UEl$sZ+YX8{E~_eNp32QXi{c+|3kMZNEweta zW>OGP;BaX>ll<~j7yK;LN#4enGQIwE6a7Q=Dt$prK!391En(#a5#{jj$^eD6S{x;We40x{DmmKHACA&K@}#3n z{|u)#66ABAuzRMTv95xi!z0IWvaJ2(td>wXb{g(4Xzu{FE9O$^6bBgBxeJA>*Go~) z4}CAcbKKh~9&hjs*TKpR5>R95H|sDF@RqpIbim_ zN)VVc>vZ44G;-ORW8;?}m9(Fw`3}besggEQHg|9DAGv4}!T$JaVuT$SbQ#X6JHUWQ zk#j5pl&=_hgiY*wM0V_~AcZDQ)oS`V1UYIff4O9yyJVA+dCRK}Yciqy`8d>eZZyE!*% zKUe6d^K|odIv3rIuP1X(7`L%iGlGMb9Z7Ki|6( zcZH}PnKl`r>XJCx4~V}%@=0tJGc{%%rgYyKZZW=YTPynwriY3_DrquuC)J~=dGFE^ z*}WN{_GHiAADY!f!9?1!siuZrrv%xbn#hV)lWhIejNd+0w7!h!c3s^ za=7lIUX48gL2ox4Ydysz$fw151I`gJCwEZ!l${0TKf&)~E~v22>s9Z&YJxg2a}pSMmNZ zw8$)i%}cdqk8ZAkH?K>Q{tk7~{T`ErVve`RtKsltW%c2~kANJlG1V(AD{82|)0v;Q zredwHtVR_T@Y>8?rpXe(9_*0iJ3Kwl*Avya2!);^idS`MxsHxQ{s)R8yM^zbxD z+Z!`3`O)hZ_UIv33D1AXV?JS^ap^@tE&MyjloFx*S}zGLD&H{E&td*oVqw^DHo@LY z?AKfPa;cPsO)9i*S+@9@O$ph0;BNMg#u)lM_B;IDjds&GnALs%#JQSWz|RNvvm+mR zi(InW(0gy<5T^Eg-r8K)@J&}bk?Qrr^0&WWmfxhP2b3GAmIfL zc?aA|LE&Q7;V%m-$Vy4)WeUgg2y(l!gz6p~k^gVctoY&9yieQn=-ydHHTIQj;@arv z2zR>nzCNm7taom(Wn6YR4=|2gKLSAVs-CcAHtytuQmli`uU&Jk$PmX)1l5Ua9+ckiDXr z_WMkq=U#r+uak%bRgcM^%OtU5g$;rtSw!mY6P3D>c$(*i`d$6!MXP@=$%ijf?6wok zTDmWbZ=&Y!*$F1yH;VbXtH&RY^{aOh+#fBt;#8Vq*iNv&V2rQYxuG|SERSWA-~Az< z=$zAQVbK|)^K`pa4@ykPk5C_WN(3UU%f;;eCdEBKarnzaERqfq4wkF)Lmm*SX$Fdc1EUyz}MKOv6hF z>g&t6{cCC(^Wbpjg|m0(r_t9JD(Sl?l9CAWF&01C8pAc2NBh)q|H>&Lu`upTHVOQ& z;^ro!EV`H3Xob=JWqjp;JXGw5#QRcjh;u=FQ8Qrfk6--x`hcu5dTxq+HR!8Ejtchs zs1?n6qv2Xe0^J76_R5seTr}au&m|40x$6rZzOO5v?Rpptt#KDstNXKK+VZ{T;*9*|F~aSL0a+*Pd^H}QY+`H>AfYd z?IT(@C1=zAVB~KiN2XN%=6b{Y3VJ>u-gC?Ud07qZhd{j!dH&{`uP(7nj;8w@6wI6| zPnYcWELc@m0Iwt}uU5-6lDOJedn{rp?vLY*dt!rS1n1J&yMnwX^oQg7gPi1dJ1wi3 zAtfOG;Ka%^@7oBEVqu1LH|2Y-u$vd>7EMxK_{#Mg7XWe^aqhcv{c7K1?u`WU^)hWd z0|0q@IFDxEyfR=F)thle?)aV;xqif@t%Ujga3p!Aa!dD;)O+HuzR-OEm2X48iHzmk z7Bw9o!23CAk;a7Pa~&GYhZ0h?eY=obun+U zcxkXFlVEOZn_+u$T-j%`v}>IJcWpI6e#*%Vi9c84D`|boDC<*F48>o#_vq`{hROlr z%oh84Fg>5{%fx=2f7eoClW5|U_NI+UXJ6eXezys9*-WRp_LUH+XLaQbRR58SRoima zTTF1eH0r(0DizTGc97FNuZ!|)A}0i|G2irI@CTLGp5bxPI;)R8*N2`_T8BJkcle14 z<&Qw#&82{jj>R{U;0|X)_S1}Lz|Y536tyDgsrRN4UOrBUiWm! z#^UHJ!jwOHK#J$y^KvNKAUhn*oddY9Lf-5h{r6EtAM44h8l(6@HGb691V_>$LcHqTk+H(fRnnu3Vbm zjL)g}1tw-ZMis>N(Y|HB$0^^$F0Q#p6kVZeTh?tt`FC`$c(b2kNu)v!>J0%unc%G3 zQ`e9kPv;)p7@x{*DBa~!$zE4`i3+;U4|$p&?d|rOZr(jSAtOm~nokGKBMU1a)nHuA-Z_ibha4uAH9Ky{fz?eD zzOy${>0DaBU{uffmQcD^6!~%3cYvI$-K`!=Qvbve zYjI@UaGLaFOoSZK$sx5@6}ECvc`eMvqP~N3M{&nnCm8(IfalSyi-Mw09R2Cs%9B^M zvp>)GBxAe7?v0hDLd4&mff}A{u$%=R+`(t59LT?(=Wzr3%Z%;i@TlPWj|5)^%~x<* zKK4!KY!=N^U=E%*I>2fVZQDvb`4*)C@?<*e6Af>$WP*vf>WbE!2)fTJWUEIu*V_Wx zXSMw9WvBd4@92C}YRyiKc^ zUde!zT^uQM`@HCpVgjv4B3B3VgdgpGyl+q{1MG*qvrb}AypQTBsyH>GVN?JfNy~5F z_sAg!l2qKdGDKg(Kk8c5YU4k_)8@gQ;e>T|O?ARjJ{zLyxOA&1mMd4+lk334JAeXnRB zp3wwUUCmXs8Swg$-qQ``nY2#{bLiNsjQY`)=d2ZHsnCg3Ufa1acB)@z=3Msg`+2bD z^`CUsuO$%k<{-GL^*(lOX+G@|#NGhal)$ znsLFjcZN$4NzZfa^BoG_@9_cT)1c4w`Xx0#gIB3Ua_K~Vb4nf ze&r9*fd-z5P7J%+k|c|%?UyuipoUs?!oR@z$@-|On5i;?{3H; zM}Oxx=eZ`4o%eX(+6(7G#>xWY)Y3xd_vgSXt2>Z{*j}MIcLFn)hSW|fc>}Mv2xAp$mSw#2Uj+dX` zH(NXo7+RZ8>Fege!+{F*Gn_>hZAyUy$9slKyKD4doe1` z{Ezn$N%O&Vw|{0A{1ihjO?4F*D$R+%Jf{SD4Qu)xC z_3-;i3l+(2sbHq?zHUsp7trsE*D;th(#WoXb$M#eKe_Y4k1e@mTsajYGYs~Xu(|^F z5MbT~=f<@uEE2+R(qU!7dPg;%Mv||hpeDO4k8rRY+tz5-2QBYnWVTU08*V)|U#{M4 zp!>FF&Ux(j^u`MMsUGZOCMyC-73~}Qc1lt#YPJVRAL5an^(Y^cGQ=A(f2z~5A#iq)fXwcnJVfZO4O?rbLA zNAo+@%T;|#5ggyOUj9^MDV+NBNH{W{>R;P+xbB5h7A#CyeMdz)4KQbpd@kgiy8jw|*6`pCbn&&2H`2lBo$&PY-UEjk` z_4Um3k6nAcV zyiEoRDslUY!=2_0+{up*XP?Xgl`r+ZA18C+aFG0=md0!-`M9yayR?H~zDOlO_T`DC zmGEA&&)%Bi_9EBq-?~-|qQa-N4PGY$`dR;RIg)68R|eNP_cQ6CDVo;t3$sW;JVXQ8k%AM?57AaPWxB-4hMmU zM*-k-60Z@ALYXU*3?dW1Apc@m0l_?A&8d6R)k=eKdtsJ;?Bz&;Ic(L&w;#*4WD@MH zkB{-cY*o_^;>9a*o%ecnJx6l%6?!q54zW zeTrHZ#gZNeop4QxpBdC?Rn>B_otQZiC9{ipKirvG(9j804lF`q;|~p zBDFl0OC_o28oP?D`s>Wk1p6f}2#mzO)M8LRiiC4gwS{!wA^H?`93zzPM*=}^Am(vU zFFJ5tBGAX`rJgT*lI)AO#tNOFCissJHaIUq|2OtCya^6TZ%Zno z=hw{sSML-C7;shXbg7pt#VwoZb1arLygF-wNhbY1nZ9_FOR~rp|fC$N4L-#zOQ8{^I!@4d8a=K;&wzYNAxc;dDvO6I`!vyg0Ad zpCB(HujJvq*DG4!LFrcZd#CdN`FMq4e(wUbVu3d==jwXOKZN;r^h4sl_uu}bf*g%I zsQ1LLokYmw=r5b3a*QD=5z-ynIQ@$WtexyJEbD6saz^pKMNV7&*2C#BJ5mVFss8n@7r?J8Nzfph4S3&0 z-ENjCGsq>SMuXL1RL(Abmtu_ngI0pQBN9Tn0rj381fTEi+~K*7Lj`2oZ>g<~bvPV8 ztutzw3wEvVIarP*1?T_0hvc76*bTPNVp&sEF+h zs-N(Wg)hYgTJv|>DY&8w(md>99~alr@4HS>WzdnRY{32i++U(zi22@uO*Ms|wq*fc z7xPB4>13r7>;pvo;{RTeqjc%rv3=H8E6A{%ca&gxFv;OFf75c!o7}y6HoC|-mz=AU zv=Xaek^+N-;E~-F_kV`}p!02x>Fy)3fb+j^>$_Jb_Wh(@-`=LbT>z+$>g_dC_F?7` zo&ttP!0&RpFHlClr&WW}Gw|o(e0sdj=2+8EA&kZUP6|3(0{x7rhNiw)g1zC`TV|&! zxzy%tBtZ@b`Ze&pi2lNTJ1XYs?k*$9Klm~G$wu4V?c}ia4M`&wDrce?d`3v7ki?NY zp88932)@tgheeM3u?|b#%Ny%R{i9?jGlL+4{20s!VGo9C{XOB;Z8;=0hHU4&-b#?0 ziCjnYN8&o!c5q)qx@7=}ciwb-bh@8xtV%K(T$@Jmng8`X?R7Cy)aZ*O3R330D#s}Q zk9l9B!p{yeEMvN8za@j@|NVbtop)Hy{rmrEAd!)*5Gg__LdiIz>?9+j?2NKUq=8aG zR!J&ps=led6-|w&MxIg#t!F}m^U$57BKA(?=r|aXB zQJ8wBSjXffm+cKEN9*bZC8Qzc&O|CTZX?jV+#c7dBrObr z@6EhP8D1%9%I)1%$K+!QefDf$5*81{ttEa*%`e5!@XHBEdpXM6OK45^0gF7`T-m#y2#SxZug{q*lp?K-B6bTS;EI!b8f`I!|&Vna`Zj0Xh7g#c1t{x zkLGLNe1^cAf`%TiLwe<-kvP-DRi$$+dGQiM?!~v9iUjgxlUIiN?!>pFJ<>m3Z4S_V zjb23)U-h(K&ji=XiuY%dIFR^6@aW~YDJ<8+u=}ms&4>{Aw-1P8`6cM9_(oR#BkND1 z9OQut?rfFuDM`KOC zJ!}0g(_&27e`2}WlvK9o(C4o>^Y!gEq<;OXt?|?6UCqFaf$pC^IdYJCTn(y8OSBio zA?+Q;t*e}HO2D1H9~llAD_24;7CjIBzKHQwCoej*;?Sm2AWrd{?TnOEfytvi(i1dJ zYeHv{-|M;VImm7Mbo!`7Fa~@R=`k#6XMNYy2c(}z;`R{ViZ}o>RN?vYq-;p)S=>Bj zv=3hVBXc@mkOTDRT*9$lxxu&}CBD`UJ}lv|pVPSKSwS1tHUs7EiTgqKjqVl>U*|1k zxgLi)#Y22&l!D8PYs)s<7XrP%CweY$tta>ad19L~m706*{KrcYQqT>5`#u7!bNoUB zpO#@^$AvvdgL*MzXwslmX&UQUA97t>w%s8Gm3#k&WioS}(ck@Vmooefnwt_&hx%Nt zkxAF=#-^dr8(ow8D!I7N+oJfm^lK=MyY_abMh4RRbwlU#oyzz^lvJ?1)W^&_R~EOg zk(W${#!Yqam-98V{*EWVfAfCh#>1&Q)`7`wY3O-iOi|EuX8&;SfZS-ad?b%|yuwk( zz_chN&a|QY-6>j5iLCE=%}{0j_{kRFC$h?WSRxt8gS^?$-*xKgG*I4c@FrI)7BBO< z_jbuABXRWel)|>V=axd8_`u(O2M?w%t1G*Cd>Op+zB)J6r;6cu}EAXnqw3Hz-*s}nEpg}u$PgHaq(G0LHy6eWuS{c7OlIfox^MB@6k3(vOXWg&4T!mStd%m`+DYON3BC!Z>W^w{XZ6Z{EC`{|Eu8lA$7 zk2K}p?WY$RejMe+=>6;N(Rx~z^Z|$u?`nMO=k7JRY_Gh%sU-79Ll4yMlX&;yRuW#? zCz~z)D+8`wiu$dNPT5G=MlFd>&}|J>3$54^+Q|;|Ah?J zCmOzC{DaE9g-|*4<#6ut1mOAQH~PcxA~2a=AT;G$2~a-9)yQt6Ukj649qDywojG{6 z=1B-RihUf;7%YN?_Aj)m?T~%_dt}O^&X^q5>*V)MQ%T(`9tsZGB%k7`Vg1##hd-%% z`tj%JG9VALU23|hA#)!8$3bBF_x1rUU0d?dyY2kqosLb&+c@KNUSS+i4u@XpoJo5- zI-e~1-79cj;S=ng>pgUPQVY9JO<4P0W1ngf#&yPvCo#S_+7C&a$~`{3FB52cS?yTSxzzI)dg zj&bI95IuXR6lgxaeD&?%*-`#LoFAGu(a#z2fyFN#tC_xs>2-&lAA3T>4T+<%)AE4Q zuDx8KUPj=brZ`tMTg+(}4e7Hg!WnL3o_61IM-8n}tA|S)vHMH2#pJ*wh#b!KKUf_D z#AO>R>^yFPW+II8yIpyGeg%@xu&3m~Y_SE!$T!g^v@<&ZsP9XkH<@OKm2=&gIp{$i zfdSnV96irhFy4vby3g6vD7S};v>!S8(>cHPWFwHDXr6i~=hg0ycz9_AXWh7Pys@C% zMbioKdP#z-@X0Wwd)TCNQ zq}&b17pfJ4;@DErPqPytQ2Wn%nNKmS*NHd;8T)U59OHeNytG6w~&r9yE%w@m*P;|Z3%aWVEx0n+@aN7?jyVMrn9cULaD z;TMlOg_}M~^ykCei@AGuCd9CQC*mO!*PHSqi?#L}9Lv~(uh-vreCI$RuFwe36g4V^ zyC#Rc-^iB0+Lb=$-i`yT2Rfy;D#$P^0uKs&OV6z@#_dyDz8W?TvnR5)90Oj-?Vi9!bS&Xk8|VKi&KC7@tvUkqa936pl;W41s?ubymI=; zsnLoNAe%K-$>6LD>tTPpNjuxdx^RS3l?2b;A=vUA1uO`Mqq(#I^KLf%aGknDko>F L$0Kh2#RjW%Y% zTk91nAx7iH$Is6^ka8nz-l^I9um9>$IC3Xiw(ujviAjyDtbSbvcgFu3n&Z>M_K51e zqz1Z=rvPyzLuHb5M@+spe53C#Gq)kRNtY90#m5lyZ-$=OBYt70+QJr~?=5;I&vt*0$GJ_D z-C?nPu;?8(E>3kBZpt}Y0t22egNI+1La3Meg6H=cZ}*6Ql6Vfp+o!z8f!zySBR~J= z_a*Nr@dsmet4D75&;}ggJga?S<%}2DbReJMC@DBMre1lN4a6a=%wPC8WO4uyPoXI- zL_Tn4B1V~Rl|3~v1g9%{uATNUk>z61eVFDm%ch@)wFZAc;!<%|y#|NvEs!VW$C^)v zzs1!8<(PbYG(s zoB#&{pl~f+@kTH zr-9jX^&j~v))WQAIpeu|<@Qw96iBPv*3Q#kik#oRD0wLwXn$~M<1!V2M#eKYG7q!o zP8scQl?z1+f)*}$6auYFP9HnSJhyYo#1t+aDu9@AC(M=|&w)4vjM3O_&H5^mCUB2g zGxIRw>HP@)<+6Q68S7I`OXU6P<{AOnI7?>1+9LLROLGyAS0dZ>7Bm1oUrViJ#zdL9 zVdH?XgDG>*xUjcJhu=zY3WniV)@ODHJG zae6Px{>N&Im)kAGxxYJC)C!hm>G%7PAi!oOO65c z_vW+DRdPVVplM&%_cv@G|J}WXf-{B6*q$ZbcjxU+=56tV9Q`2&xPi7s5#o5gxW z=zK-}Ti(N!4^|eY!pr%_8(*b*vpvFu^(*^%@vgjFsFgN0IrEzX-xk+>nKoR?#5+yrfAW4%pIB*B_TR&I>cCP= zXY;&udjxK9Vf6DhD%(+m%>Ix3j?@Dsp9bZGH054sC>tcRK9uOK z8mqmnvQb5@XF-)z0m~Qrm*eBG+-vHat>W{}^cE;#xrDN^O1tMqe`LK1hDUbCpY25q zyuU)alleYfdU_SVdtfqiKiR8&E13h-&mhhV@nH(Q&DyNrRN#BzF;jUC5Bp&cA=TQ1-Xe2tN*4zOZEAmeQ>=HL+vEzH1WqnLO`E@4=+wy3WN-ZD8aUnYC;a z!}~UvkpAOC9qaj`?+d;aapHlC(}4U3v_XR#9c{TlCNL z{3R~cc-50h@qS!v$c`@CpB9S>_k4I|UcSLs@zpL~HRaU}FzvAZ{pU&{He7Oix7)b{uPnd#^0!_x6uWKRAur7E_oEz_ZS+b- z`aUKT%}X${U4u#&cV$Msn%A-vCyw$q8|6J}}CQ`0~`r?ywZtdHk&IRIr zlkax@fR4oU#T=wwJ@t}^=RCS-qaG(c8|fS!eKQ!ue%Yd<_EO#nT^!a&NZ)7iayPH2 zG5*6{txBg`82-uK>WssAwK{O6N!lTgHyAx$3;vN-tb~G{g^H%t&shE`%?WQFT55RS zu?n6SFF4q^JRG+UO3n_y$N1ew@&N%glNU5h&OjT#W3N*_CWG0g`}rQ~UhvL;mR#+P zEU2*)JEl839&U1cdJ{*t0_F5l=O@G|uI8}3AKJ5Z@9SC?f58mKSvq=|l%yfed+49( z{ij^|)AcPo?rn}h4HfbBXZ&1rI4G3uSDu2@XD9x0VWW}Zj?N^cSJO)ud5#>;#`Rxq zf`+5GNd8RneUQhB_WN}HXu4be^YRTB zsoH^e)n}U)5=*5qa6^>5!MFCW4FKAmN668td_`Nu{tzibf&C24z_LN3O$c@^2& z{kbKZ9NAp%`59x>632zJ=RN9?E$kFhk$x19{T;7w{h3hD-gj>9Jo!rVKpK?K-q_b7 zUIhnpM5;sAaB=rSoG-)he#sv{V^N2<+}!_oWXC6#kN)GIfs;#z7n+wc`HhiY#)&(% zH$U>!LPLCZgGE;D&&%7u_e{^Pnz%?Woo zICuQ7q^725nB%*56Xr!>=|&W!hx`eMiPYID1^EAb!4Gn#!(w^=EBF`x1MEim<- zEq)8skMB2ZxMm1yxBPca`cTY1C)+O_TQd2h2g@T^r17yK?PN8+wBNJtYs_=#^zoS{ z(Z*pp`?SBL+{MgoWoO%O1Oa)%PwQ;5>Db4Cww8?>)`&l2c`W3)Bd*K&qF6)0!wKlS zJ++Lxu?3w+{EpN=88!O$;fS_KoVhQ7XU(2(5UZn=e&=jCw%>6Y7`Gya^=F7>Dp>J2 z7criu$No`&^N_w@O_t@D*3V_Ug(JK-+Gj01KRhUYJ3H- zWTOP{PALa;e6!|y@y}Qwo+h2QGLQBjPa9JR|DKy%mizlCN@vA=$xO_js(txhyBSh1 zk$Mtz{v>YSq(?$0{TbhgX{T$>{VmDJH%DNMzh^csk#<~A{;e5B7X1wwn8-oOxv!D4 z|9)voA4pn`HNyM`){915oeeXtoAGBPKwt21n%bfwa3~Q8k$95@F_Dfld`@S=V8HAZ zp^Q&%ztfsX{nSME`9=JO zK3vL@qLoF?*Npo7orT`!^iTXLNSonUaIV!#cvp$={fr%6iy3$E}w6p~i*$fr=-) zjz<9X*XjE%VUF$16>EIixz8i;s@`%S2PfyOmoWA6h70#rXW1!uVbLx&J-8Ke3-b@8OwFX1=0a7&&1Qv!8DE>YBMD2|gl>{dSP?3!PoRM>0QY#G9Ci z)bkCVS(o~v{3FnQw7ek76XrHSfV0xGk+xay8P33%J(FCHn;qv7rwYte=b?G9%u9& z8@Qp+gfj;VHh8@*L*n9lsJU+0`y?JsTIX&$K9~m=H~rpTb08lBr|$FIaJz=xyR2Sw zD^!}V5UiqoMDu2OLf*E?o{OfJBK7u{2`HX_sP6-mGY~6H-mjC> z5fo&*a;1AL=6-M3eLa@Rjn|iMT0Zy{EZ^3KS<9CK$mW0P-)97yOJ3)k!8zR9G9NE+F*w=o zUEItNlwC1U`{r0R_Dx-5H2+ft)AQx%@~tff%7Y3$t5WP<9gUPb`!Q;}e%sYzh+lGP zcxq%C%+uPap&M3(#9N>o`IM{YB^>)Iu(IxJ(pKAeNLw*`d6UOycAge#r7G6c5`Zes z;>kDf+OX&P1G}v@Z;s4@ijx~Jo!HjM?8k4L&UDJfdo6)eqa6w{txjph<-^ICs`jvX zuYUy2;t4p_`G*U{)%#UEU@euw@R_5ZE;=!@1=g*Kde>Wg5jR~d`Lp(H9uS{^{9*Y8 zR(vM!lK_e?V0dU9Z0S6ql%1Ler(`{T`!OCL;;h?NB|fk}9}W_30?i9IrNX;Q@e7P3 zQz7%0lk}TlCMV_oIOe5)2KZj&?As=niRD&T9Lu2|#G@9!DxO^iErKU49uF~jrx7nU z@no#lzX-I|2!VavzULKNNV7WIuL(_xT}UMUYO0loC_-wBLXu8@?p}-<;{bt$*gaq zW_h4c=tX93GLkQhyWjq%Y8$hMA3Po;EEmJ>Wr&mSeC*m!Je$hSO=$l@`wf+2m+OO> z=Q#0Jw<;{M%iRzMZbzRv``*ezntPK^op@=KmlIc;KQC#)JEXkmk^SxGKMyg_n^vX7 z`X&yvEQ)*aP{I-DeV~23;rZ99qLt5pdM5`1cG_DD7oay^LciSOY@~aBlXMj);7BIR z!6wf7Ay0+Nj$`Wam}Q^m0>(e1W9c-iS2>vV;NIH*B|b$o9M)dA`DUI)8qO8k(KANB z0*N<4J-oFJIt{PpW&rh#(vQfMw5_cK28U@n=}H<sRwW zR2*Te!TXbuECM6f-*fB8Tz(44w+bFxdJP#O?Nfqb&79Awkqo@;`3DeJjs z59PqhfS+TPuGX==xUq+VuINh_!{e8B`Zbxn%H+@7z-duX4jQN2mDv2V>PtSvj*FES zajb@j>-YPzn{tr&Tiv1-%XcMYLiXeGd)gu#wiieK-V;8;@p+A>+1%^?-}@gw31IrM zxOJERr~)JpBJur#u0Q?KvA7w#qwF{L^IO35pq{d~0}lA__l-yH8kh18jRagEa?Gkb zDUj`1(4LL*7Y)D1{-|mGfHTiMwVkfZoPYam-Ax)9ujK31kCT}5&$L-V+$$wXC^+x? zYQ_2_ApUEkW}`((O)NS+^9qowvMT_s>WyGdR*;>Y@|Nv;yYQE zb&NlU=1u!&?%#20x+^}gzGTa{DGP~@D0pUt>>Bw_)-SKSAX`;!d=;29<=vXW^Z}>a zo2MC@Wy1DdJ9ZQ>{`5OiR@b=SV==6LeuqdD!v!9>ACv!?K5whi?Y*CIiy=Z-VgJeS zP^8|)>*7P!y*J`8cGmiiQ?)S=QNu|o8O($mq2ofG)|9jUsXlx+akXGF+B!aaWU(p& zOWqyR54{k;dIp5_oqXV&H=FX!&}p7(!O7cGJ3d!jnq zrhEdr2ggt7eR;U52X%w_CtSIgj&x3xF;ui*j4BPuGb z93fr+1Cow|Vo@P@&E(Umt5IpdNys_-xH%Omhfrs8^6!hnT%dgs^;OE(<;>RHn1)kr zrVgvWF8D7WxbqLc;IsE^4~+JczIpyHmq{0b*-**iFU+)KAn9=IWyW~q9%+xaTY&e>X zrMotU-Z5tKf0`foY~Caz`F*GlLU~r=qAXIW)pvVPfpp%XU;p~U+b2%zmg02(HJ`l9 z)4(;7VSF(6BkD=gKH$TYTqDU1DPUX6`^@586sk_S6xdx+3KG1F678I-f#v{oU!vaZ zuFogdOa4fNm#gwcr#>%aJdA!9vr%|n%Vd(n`FJ;M+C zTwP_EBku$rA|ZX#SEb-0tLsKvlQWSxqLNk0Z|6VZAo07xUHw?@YcZZbsa3% zYle-bxu$$BxON{my}7TJ^{Np^;D(X$!tF!uET`JyP22g$PzBDM=Lr*K3o$`ZB|Nsd z0u9|H?j0 zhk_;^8>fLZpuH6JfnS!bDhQG)1vP#LyCaUtu>44^rI9`5g@f^yxs^@A>pEyoIa(fV zl7;sE!5u<3GN8OfQA)U}7}mPZDZK|TAM}ZIV+5Z zr6(gtADL1BlIo>4Uxnjf*CP?nL~~|NGLowg33HN{u zFwTD1YO9ru*|)3Axz4p9e7G>O{)|7{^B@m5@kRdL4AWM*+YFx3CV!nxn^}(1(1V4S z?Dk}XjD7U6C(k}Z=uoVA!sZ+eQ4qCLa^?1 z5Et254X@Y!O88tK$8rg2e&#k~-K)zXxwtM(@bRLTeehIsQ3Hb8-u*>fVGS zSvdKT>#`xwOjsxyy-{&&9GfS4nf~X4*0o$9Kgb1_yrCI~i*PXRb+vX!IM7~pe9x_> z$#PK`7h3dC`A{lctG-#(d^QCq>MWJHJ0qO+)zb5s?iqI-d3P4K)B^QF>G}I)@||}F ziqnC7iHod--lB3lUb6V=q$!e#SGMtP)^o4G;xSeye!HdOklY`+-;WDe?p$Jn#8HVx zhTo08S8Pm*fc$H->*m~DpqvRO^pd1%Cq^Uf545}&EU151$mVs@xV`y274I<<6Ztz2 zguw9nAC`?hHAtRB?#t|l|Lct)?g5>*>7ErmNm{SrTQH96RK4y!;xMO-+7VU{Hq!+*j$o2-;oL)35uz)vrEBLUu;`tWhBcBARjF4x5g}a zp!P?Ci?nZ~-Zc5I3@VFf96BEWd=mRtq)jVF>WNb?V%GIf1K;F)v0F`)Hw_7-1;D@DF3^6C&@iMYDtwWK_m%0#ECO2SNk$JCj?YW@jxP9~-z<@o9Euf*WPPq9a~NPk}kMqiK#Hfv&iy5vu^ z6f~C&Jy?yC`;@wKbv|Oz&UoeP_mXg7bCmHZ#~j?*9rM+qry2at79_~ja6ql_grKw# zlS7F)-##lW0S1S5?(o}K&2j*#mrnZ=_o?EKel780=c~kpCq5SC;An0+Uovr23ez|4 zsY-lt{1?;z3BNTnd`~LUz5L~l)T^Gt7PwkR@VPR>G4uOUb^qwNN+hmp+d9|qh?I0V z)o$=JAiEQ&xA|turypX2*+?FSgS$6>GVlKYbk9hrY7?uNTa5zAJ&nfh74V|SHGT9< zeb|zlEA%Qq1MmFq{ZMo;k$ryLGp@>44t~l$zljS-?>F^7sMkRG;w)FWYADP6Z_k(! zXZMrY!vz-a+H6wB^sq+mGsFweN#4HUXH^uAo$PV=L{vJK$fuX?l1_t9ko&%WG8ZWy zedF@-T)lx3pq#F!(a?jE?iiHTSL69s`JYExr$JF$y*Uju_!m1icE*D7?${{ZYboeg zB=hFajvS=DIqe05e@~F@ni>Q*-VfPSwuB=2b5#`HwP%X=qGYh4RKrPz6aLD}ert#? z5dVj~Q8bSzxuX*2el-Tk2U8xY!QVfaigOcr(eiL9B=cG>PTbSYa^5?WcD$Ef&nlx!imMjko)yXpTvbC zJk+pb{j0UN;j``i^8qTMK)l;GJeR~XU5nVghM=qM>^;Is@bJ@7`)jY_kn&EyN3Syq zxfueb;+s@oDitbK<{(#)hAnbuR%;3&2>8@mxjN# z#yxqhQVDCcyA9(16a#s!%=dI^x!1?SbU}56n)VDJzB2i%4v1c!+xMsl$p1yX54u0Q zP8S_+Rf|R2;JR_ww?!lEga748LUBjss+AWGe}bav&;E2QDM!V@^$rcc@>ssK-i13m z_N+++2XE)28kI>X{!uHbl8G-ll9YXod2_F zQBEida6_9H97{p!JCSd|^rv3SPSsxQu9u40v$dJ^SyR64-}iYjPV|#}B%+v#)tdcb zgFR_TevU(b)6%ec81~kZ5^!LswTMZmi$u9&k1U zZn?GE{iDr(rytfr)hLgZv2MSR9y0LyJFPZaQv~7C)ai@tZbfT;*Wc$$!=zX=IXxNw8D+Fh+ck>C22f*AlOKo&OM)2-JI~^C$74w7Ta^ z3NXupXtOJV8^pOayJWMgn6d~)^u@G>wRsRtZ&`gG5cj(9d7wPTaJgKq!_ zsFzIl(%k&r-^_AjvHrr@n-*J`^Y2Jrc76KZ;-s-3M)Cs@NYBqF3Cl-43CTwKy#DiD zW+FXr=$xJRRCjpYoN}PP>!b_nFLU{m+3%%mg&*_Xe<4Qxu@RTeiAL^ZHT~xsyjgBD z?PZB?|Bs`Z1;NrLr%NJ2QKfU4$AZ~S?D;>pLt@Dc)gtg~4VbRAE)^#oNz~gkB?UdZ z?z$h%N5+9KuDsPEE{Fm6wX{(B%kAaNOdUd4QjQz*ozqtDOF zDJ)0I=U6vy{Tr(G47QEVdS!k86Ix}oK9D`uiZ#&s_FYvP(mbcARO~uuZXKIbrss9L ziqy3)^<^v%gS^I*WrX(Jx)%gGM>}doJ5o{eQqG|j>#K0iqjXJSC#HYD%rD;KbR^8* zELWA{oC5-lw})van65ft%1$sa|=HiH!=K_89wdod3PE^ zJB#r1@-?FyPjbK}#*05mBmu=N4bPUo$bo?%gC$p1c!2O^MZ@>D;mn*UQ88R88I-&+ zeeh`#((5FznH}a)3DBgF_+Y1!4f|Y>O}Kw*0dsClm*Hj`?#;yO*Nu%7#M1E0?TMB4 z(Q#n7;Br9XnO=CP;`Hg@Rs`x9(f*6GCV$76sc&IbZ>W^~FAnaUB$l?v^}l{1%}J@p zNB(l|td0*+=Mu1{O(j`8w*<+ncLNiKZ)#=({k*A7e_o@V&RiR=^1T#yM|AR*>Wkl& z1~X4QdG_pY8b;&?+3%iO0P^O6+!Y>-uV`eRbp!kMs>l7uZJ~bFiY3OXmt^d~k||Gl zs}zAAs(x4zSOX#b$0N8c;jGWB_3~8H>beHBTyNaRm5FD)+^b4{{MxoVp5^cn*O+o? zlvAPeF7YzNTRzX&i?7SB``7)pb0{HYCUJ_y>`^~vKra*%kb z9gD9%eVdyDC$?WbbGa~&p4zAt>wcU@i>7XveXX~b@~41=X--sO+~9))vDj&zP{2!jo4LhSm-{zSROY8#6c zWAH`YwdVuB>XGu{Z;K~>H&V?;@=OqSx^u#j;-s_8dHwaDHaBLDMLpENDGhgJdMZY^ zq)Z-dr@Cdibt=nIr9KAbQF%5>BxH}NWD(}?NtKR6i?`gu1`{!%b;~$4b6@<|C(lFMle@<2KFeU|(Uh|^^y!i`*^q#KejmRL z`iHWdRAU7tS0=FyyX*ZBI1 zA)nLlP@q0mpseuzlJsyG_GtIlTOG)rmuQ~&@^aG}`6W3p-sQ@fi5aDAZ<_Y&fsK2o zNPa7aD}RQL{W#SLdW?x6t}PC!^Fi#N=Siz0_NDe{-#!#0a;Z3{wJPX^`j^X$)ar#@r$nH%*F zRYqnZy{`86){v;mfSjg)HRCriIX~4_zKph7Ha|`O9Tvg*F~(<8apTagJ7?+`K7UwM zy=21)kuDz6jRRTtLQ$UI%@6DC$pHIr(fouBcq~VX#jyvF{#yh=hO9f%iHFjVLg@G%KiN==8;^F9FG8&&^SWG``Q#}7KZT`3QfkvKwE zw?AB0`yc~T53EmbnVpDFi-z`#9xnyr*V3!&xCatxhY<5qmTGL_RKDGS7KBPaXR_ z{nt}1Wcz1yUOsiV;$(ZSC&XPdecO{?&HVivNETJs!j=|u1&(nc5O>06v-}s;b17hB z@cdehx;@ajPjVr@lFam2)(b`N%jgQFCD(^OGdaKO%1sOh+38Tk%}IAs8Q*~U#?Rr2 zP$#!f=6-1w+v`*`uaN%ndjN>bP&4>GXGwoDn?seUoh5C*t%>Dt)1Uj;^ZpkyybRxA zB$rjLf4cV1m=ySM?C-PdOTDq-S@400L(M?_NXg!i8?RTE<1WWTNgx-Chv!E~JmD0B zU1sp$y?J?Tf9}LexBG`BtME_x>(yI~xkw&IwjXxwQu>)2$)Im5-n-ee3Qg+$oeq7n z1nHUc#w_bi!HjJ@GEFwop!rrxhZ7f#+v2JIs#vLZFOy`9s(mv;v z-!Xiw5sxVKM2Qb1`pwkD)IAyXM)<6hSE1a_UyNUmbc1W|IbHEIX1d~J9pgq!c8d0v)&@fU*yujFI8OW9Zv;p^-XR#Vw4P) zP7%gWnj(RC8u#-IR#_~K#%N#Zd`W0V^2hzZuOFTYK9=Zy4F9;h`Dm1sQ)9h14T--& zc{B1~k?&#L9M8=Bo0$-*BERm$U^d$iAYa?fMVIeIOIKr+*>fpL!3vgVNB4N*g-}0V zW$?_E%`F^oP1m*@YZi~SaRr_`nSDCV5x*?-yl9{ohMR8hR@7DVhW32zM^jCsVX^-3 z`tVw7r2TWxSB`l-FsFrAm_Ty^m) z&x6#(MaZ3fA*fzI5>p?II=si4@$0pEyvaVx+;=;_l}!kV$GKW{v7{c^j|Mg0i)y3?|l&vs~zmS~SvD}#9b*NrE4F#OBLIQfXaSfG30uARmoLLTOTe*B*TeuhVM zE8_Vvugk&sH=eiM=~OC&aSk;}GT*;?LQgiCTV=8N`qCu@CUc)Rfpz$o+>k3xFs<&O zQTuQxC~IBhtB&O2%}F~I#vUp_dVX4*S3MteI049`F45h%m^UJZ|7Q-YTAFIbmTmrfVx#0i}nR40PV-==Y{5Q7he24^H(VlPw#M36;&%o;#m++ zsdoMttzWvqNar5%3RK?^U$s&zlI1>=zh=`+m%JHXDX>ZSREo^WI@W8{@5H-7k>M4O zpH!jcwyg~|c?uQu>y)uvF8X;Q-nNq4yJa>Placli~`Czl&+proKo38%G=w}*=%$uk@is6h_MEo2GRG+>|AOp#>Ju7>Ecf;po6yaNM zG2F#PIfw1z`G%6v&06&K_}*xY*|$$nN3I3t)YqQw5~;vNO}{Fq@6Lvm+j9Oc+RDKt z7M`WIZaV!&c%&STFREF!~=QQ=-=B5 zCU(xPuE&LZH>BRUH-YUcUO_X)Q%rNV{1`iXldu>N(|EY!+J+b$DxRRr=Mu@zUCxY^ ze<3=z7GKQ&`YKH-0XTunKB*fPuzvB=HzO1$oMSlj-W3DVy;VTDR4tD_uE?b(pmRd# zw^ODVLx|_l9xhaFIy(QfF9)O-U$%5+;>2}}jl$Hg_9r}?@H{tc*pf#3>+=Hk2+e+_n%;algN%#q`njJr`F{O-(Mrt2&dK#r%5vW z65`c)_=Wf%Jj!@zM>x{-{agG>V0@V!e+G_s$Y%n15h#~VoCSJ5$_fS@*_p-Uom;C19*U#_;D&V@+EmlxjS<~)hW$~%YgQ7lxvKHeHXXsb+X<*`t?eD$4}T*5sbF)KCI`~b8)Y; z?*)#0K9bj$@@2EjUq0f#PJ4%^J2Plt1UN3ro?bYWy+N`REw{Hpu_kbrm-=MkQ45dnk-Rn|8cbvkrdES=x>H= zdOD-V3M8?9PT~yunHlw4Pv^pkxzBSZ%LT)`d50Xw#(YNeBjy!03~y1WsN2Noaw;6s zlKIYeqnQ19n#bh%69olN0-mltb%iHowj{E&#>WudS>QDM3Bmvr-@a6tJAq4ccW&{?Ef$F2=nc zuPz5ZWOKrC?b*)P!h%302@d)mNyd-Jub0t~InrM*V)MefX;R;A=oRCa8D6)dnOp?z zU8egwMj1>Ul}zs^aoIk4r_Gyn;0F%t@sH_IjKVD2;l@zKd>}v9Xd~{Tt>zr0=fTU$ z10p@Ki8$Nc$0e}Sm)+l-doS~~<*99LHaYc7zdjQU)|t2Y#M8|ATkF6xbt@0I*0 zJ1UDc^Xg+*Zh4FN>w67f!UFrIE?xPT#ekXwV#XMEacQH_oXsvQEKke_ac&>Skfum_=>j=`BE> znkjd892cwLu(@kG$K=+dvEH;KcD_%X*w!bj&pu&t?S4)YLDtcwSkawz?A%c%5Bh(5 zjdZk;@D5s3S^)`b_b*Ey#er&9(S3iMicm^z>YCx&PbgN-^?Sw4Va#6$7ket_;kf>> z>)H*xaOh3qg3Rh_Y*G$Q$|_06&-2P|EURyaSt=XO2V5xzdTx=o`%-{lQ;0wc`+YX| zsN|uD8$~RCRrY=J)vFmH@Ky3bfa>-vxFY3uuSp^Yf3|$K>(*s*q;U&t7o2Nk{U0>% zB@Qg{&FDTjQGaL3@7Fn~uG63LL!|^LPjPXEj5^O?A$-1NsWqyv9hxi_ylOd9#_k)e z!q$KH^sdARIpfylW`!*0GUoiX$6tjQ4~&gxu;6mW13toq5V{=yZT{wbd|o=)!%8j@ zUTBz4atKX8dJd3pZ+Y>g;ZggOVcxCoJE~IIK;CZ3gkT%uN|dgfCyO6-m+_&kBh z$BuZ>Cyx^Ly?>+_#>ni{6fYXDOnp%Lb%`fW|NBM#zlG}=Z5;6>$+NuK-o)&dT^7r^ z-@}w_=I@IEPT#JVKO#bbejU&5==8)TJ#f;* zwvAhD9GVBxpP%Y1*i?zxTMfVS?8}3aChISJeJSAI>3I4_R}y$>J8D}Ch2hunVIF(b z7|z`D!%~ip4CiISliw$oC!m-6ejjxAL*fL{=ac&67N^~R-e=~;#GzVTB9dxYjI6h& zBkP3muD|Upmw@^p>qh*9^nLDmVcHa-QSnHxbZ_|jA)m!l=zP;+S*16C9 z1`qtbPlh_Dvz{bXqddP@(NtWc`1h^xrUIngIprpaGff-_`41tQ(Jwiyr?x9U!<r zDK2R^H}Eo^@w72Rur+@;I9%{EMB!BpJEx@kAngHndl_E(q{r~)MmRodkr$mFL?z%7 zvj-im%zsz0W7xhpjbwPdQFMzQGq5hbvA$w?3Gy`SKHGtk$wf*Uj zIqWOt$+u}uZFXch=F}sjULNhwrs;J{uX~jN#3_*$Y7kTI4+Y-5wU0Dsg~H~r2byAz z$wH|9_87Ir=}~X(4BNC80g+TlUK875wn-1 z-~UC?+atdpx!~M>lU*tk5qUjk{d_GG4b)4boZ*4j=R}Y4GX8*H@3mUW{ejN$d4uIk z>Yd_1Q1x$5nFQmP9_hExzMuFG#6v7JTpKw%A`wDXpEnBX2twi#&PtF>AJgCo%U0i? zx%F)&yZ@WtUVDp2Jr@GF3Dc@O@?d|K!$u1TgP+a3g$h+%yr27CNJcyt<`y4cB6T+e z>Hb}`VCRH`3@- z%Z{E-hu4P32Q`0laIbE&@hZ&0gXs>PuW$*-nyUg^*lABNZU&}CS8G2?r?pmFJq zK_ZR~4!+yS7v{X4@d1&-NxkVJ7I9A*@z^Oy> z%GiW8>~pr^vhyCfhpw;YENuY03hgf|<6Bt|5bejP-%sziQD0?#-qr$4e=6)aT00YV z?$ghtf^ zbVCx$zoq`E)k=PWznZZuS79K;R8sU#GV8%U!hH(z2~2Kfs!@R0iF~A-fat7Wrg1!6 zEOTBIGxk?G&XEyyF3^ZTr|RF^Za*l1w1dK_!6aNm# zGtaZv%YH9D(+-+8j;o)Tl(YGe$*CqhUxs6mJf}3zqP#ryI^2v?g*uo#AN4qh(?+}# zMTx-UmJ&s1apuzz&w>KXee`{blw>0OW zzh}D7`u+?#lPY2X*|+!=yr74^8vzN(bG`Es>*V#sG1Wi9^G) zl27%2nmY4%DAzWQQ&W*G+iA13NS#PKh1{frkd6}BT2yGHMPxahRzegNDYQ5p*|Hq# z5H2%gJu&v35REO`EWMKRKIc={^S=I=+ZgjPe9UuS_jUb#-`{HnHFrB?^_#+bE?Me3 zf9`{gb%6dd`AfQEPK_nx_n=;Fy{B)<^9gOgBDW`?dAh+zBQYQ1w`aIoTeX42Ri!>_ zrC5SKS=5F9dc)In`JER8`xeMEMJ~!JzLC>tQ6BkFTl3jbbA+BxiGBsgIL;@+IR+x^ z&~9R!Z~t^ee6y%7ixmW@|O?WIbR{mm~%Mr-+EJIu|%u zR0y`h{`NQ3iwO77tK0IHY&xd~&pEv9GZ*GT0l|GtWbQs?jh0e^^R5cWfSn`$KEZR1Q+PI6r(|=MHl+hg<3iCD)P85^bgD$gNAN|5@i(P5EnF zJQd`51bIKmKS2G4vYGZbNpTkG=PH|dsj>k%YuH!B^=OLJhyau7W2P|@=C<<)a*L5G zgy+$L-_jqBf6JnC0}V7>7YSJAz`X~af}uS;ur4=}Sv8eIp66cA3R=e{X(H==Z5Qw% zYf8LC`8bs?>UdE|&R_`8#})4TIm)E2f~aIg9&;2cByly{ZB`EtfWvcEm!JWgAV&am z0`YpgWXn_1Wyyn5+nokGPAAj(ImmrOUH$IClZk8olSPnYfqpEXtDn0fQ!eeBxYRSXUh~gtg6D08RK(s~&FyxQ($JQt9IZC+hA z%YSz<7>Dae%vj~YLpN=0so_+xyH)D6DyfAeocX|-kr)L2%nL@l0~`LZAM6^xLFH^_ z@clj>&!SgDQ`^bl1vzv-2K{X4!?L~d)YSQF9U#vZbFI3g*KT%?{Q}%jui_)N({%r_ z(eZRvY54#6Pof?qZe{EcVD26IEn(Go)WNzMkYAFzFf_9Y=H2;{p3qF?R{qG%-mYV3 zzI$mV&225>I%wKO#{YEu>UrmUew&Da~od{2Z*WB`hTEUdJ}7^= zu`LohuSn)8fq;va&7@04TJE`DBQZNhq4@thXB?KV zqxPd7p^kwlgDe^*}^98_Ft8F?t3IBtrbb^HdKKJVp> z`Ne9lY#^C>yY4l#w3EjrT5{=?ESgh_eDRqCbJyu>ln=TkB($M9m!K|gv5O2dd!&xe z7sNbHCelDJekSj&BmuuMbs%?g5)K8Wb-T^LE0D+C>$=M$#Nd#bYM?%=Bb} z{xsy29+=qc-7QPigKbCIF%^^^^2h&glysolIF%oV{y|((?~nT2kWqgt8y1jY7weGj z!)1W4zfD}$?U5`O?l_kp9X>$$*whxL?*AE}xTfd2sBJlzrSAMEbDRsabsqe+`)D)4 zKI{8rA-k`<5^^m1y}+CI>10KGE0Y<2fqjcb^X$27a&ucqR*xAQo{F~q@$F<884%Yv7auxF z&>VqCFE*1poJAeP#Z%&LRQqSr%1j6-@JI)VZOJucPBG{& zu1z+6_X)(Lg_O(1bMmqEa_WI0(Q%4#YolA zxisnx!e3t6vY^#1_Dq>dKBOoGlkOL_MA2<>=Dlw|!MX!;H&926xiPyE1%_8=)d6x9 zlB>9ex^!ew1~N@qY!k_Ou3F2_GQlYj68!+HnEv2J7M4i=hD{1pB0N zQrr3&sh#A`fI{SkmLejvWx8I=DG!*MO;yZoRpf}JKSQ}@XxloO? z9$znL*T%;mE9idBok1zN$2$QqryO zi9_-5drqFV+N;${=bdBz!}naCDpH*Mr|JE&BB-S*WYOpf@Hd-ndQP2sKPIKzlMhLU zP}#9hTaOmQmWX|F2bBi^``( zBa2rGL3dpVJ=c)>a=T9N3B~vSkt=&uUqs94cP_*j5BZ9zRsiPx;kh;7?{)3Z`Nhy9 z@oaJ3G|;(d`bOdRt*Ck?R#Lr5pL#tZO|L(+?ac$!R~I|WulBti3pVX~6;z;tnUVK;P{P`+Q$?5 zBOeNLFHK4Yyqa1|$=i8-s*^`}usXz>Re9t z`n+20M{%^m&j@_~2y+i}2%dlPwEGFSV<*nK9}Z)BtP~JndQvwg0)AmkZ|W2Ouzg`` zOax5?sr&b+`+@pG%p?B@d_GzL|2~~*`|mUCs2dN58(}Ac=enM7J>%vbX2wkV_nZI! HVYUAP2jZWy literal 0 HcmV?d00001 diff --git a/Python/tempCodeRunnerFile.py b/Python/tempCodeRunnerFile.py new file mode 100644 index 0000000..38701c3 --- /dev/null +++ b/Python/tempCodeRunnerFile.py @@ -0,0 +1,23 @@ +from flask import Flask,jsonify +#from flask.ext.cors import CORS, cross_origin +import pandas as pd +from sklearn import preprocessing +from sklearn.linear_model import LinearRegression +import csv +import pickle + +path="C:/Users/Asus/Desktop/Eye-Spy/Python/model.sav" +model = pickle.load(open(path,'rb')) + + +app=Flask(__name__) + +#current code for API routing +@app.route('/',methods=['GET']) +def get_input(input_str): + ans=model.predict([input_str]) + return jsonify({"label" : ans}) + + +if __name__== "__main__": + app.run(debug=True) \ No newline at end of file diff --git a/Python/train.csv b/Python/train.csv new file mode 100644 index 0000000..5cc466e --- /dev/null +++ b/Python/train.csv @@ -0,0 +1,892 @@ +PassengerId,Survived,Pclass,Name,Sex,Age,SibSp,Parch,Ticket,Fare,Cabin,Embarked +1,0,3,"Braund, Mr. Owen Harris",male,22,1,0,A/5 21171,7.25,,S +2,1,1,"Cumings, Mrs. John Bradley (Florence Briggs Thayer)",female,38,1,0,PC 17599,71.2833,C85,C +3,1,3,"Heikkinen, Miss. Laina",female,26,0,0,STON/O2. 3101282,7.925,,S +4,1,1,"Futrelle, Mrs. Jacques Heath (Lily May Peel)",female,35,1,0,113803,53.1,C123,S +5,0,3,"Allen, Mr. William Henry",male,35,0,0,373450,8.05,,S +6,0,3,"Moran, Mr. James",male,,0,0,330877,8.4583,,Q +7,0,1,"McCarthy, Mr. Timothy J",male,54,0,0,17463,51.8625,E46,S +8,0,3,"Palsson, Master. Gosta Leonard",male,2,3,1,349909,21.075,,S +9,1,3,"Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)",female,27,0,2,347742,11.1333,,S +10,1,2,"Nasser, Mrs. Nicholas (Adele Achem)",female,14,1,0,237736,30.0708,,C +11,1,3,"Sandstrom, Miss. Marguerite Rut",female,4,1,1,PP 9549,16.7,G6,S +12,1,1,"Bonnell, Miss. Elizabeth",female,58,0,0,113783,26.55,C103,S +13,0,3,"Saundercock, Mr. William Henry",male,20,0,0,A/5. 2151,8.05,,S +14,0,3,"Andersson, Mr. Anders Johan",male,39,1,5,347082,31.275,,S +15,0,3,"Vestrom, Miss. Hulda Amanda Adolfina",female,14,0,0,350406,7.8542,,S +16,1,2,"Hewlett, Mrs. (Mary D Kingcome) ",female,55,0,0,248706,16,,S +17,0,3,"Rice, Master. Eugene",male,2,4,1,382652,29.125,,Q +18,1,2,"Williams, Mr. Charles Eugene",male,,0,0,244373,13,,S +19,0,3,"Vander Planke, Mrs. Julius (Emelia Maria Vandemoortele)",female,31,1,0,345763,18,,S +20,1,3,"Masselmani, Mrs. Fatima",female,,0,0,2649,7.225,,C +21,0,2,"Fynney, Mr. Joseph J",male,35,0,0,239865,26,,S +22,1,2,"Beesley, Mr. Lawrence",male,34,0,0,248698,13,D56,S +23,1,3,"McGowan, Miss. Anna ""Annie""",female,15,0,0,330923,8.0292,,Q +24,1,1,"Sloper, Mr. William Thompson",male,28,0,0,113788,35.5,A6,S +25,0,3,"Palsson, Miss. Torborg Danira",female,8,3,1,349909,21.075,,S +26,1,3,"Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)",female,38,1,5,347077,31.3875,,S +27,0,3,"Emir, Mr. Farred Chehab",male,,0,0,2631,7.225,,C +28,0,1,"Fortune, Mr. Charles Alexander",male,19,3,2,19950,263,C23 C25 C27,S +29,1,3,"O'Dwyer, Miss. Ellen ""Nellie""",female,,0,0,330959,7.8792,,Q +30,0,3,"Todoroff, Mr. Lalio",male,,0,0,349216,7.8958,,S +31,0,1,"Uruchurtu, Don. Manuel E",male,40,0,0,PC 17601,27.7208,,C +32,1,1,"Spencer, Mrs. William Augustus (Marie Eugenie)",female,,1,0,PC 17569,146.5208,B78,C +33,1,3,"Glynn, Miss. Mary Agatha",female,,0,0,335677,7.75,,Q +34,0,2,"Wheadon, Mr. Edward H",male,66,0,0,C.A. 24579,10.5,,S +35,0,1,"Meyer, Mr. Edgar Joseph",male,28,1,0,PC 17604,82.1708,,C +36,0,1,"Holverson, Mr. Alexander Oskar",male,42,1,0,113789,52,,S +37,1,3,"Mamee, Mr. Hanna",male,,0,0,2677,7.2292,,C +38,0,3,"Cann, Mr. Ernest Charles",male,21,0,0,A./5. 2152,8.05,,S +39,0,3,"Vander Planke, Miss. Augusta Maria",female,18,2,0,345764,18,,S +40,1,3,"Nicola-Yarred, Miss. Jamila",female,14,1,0,2651,11.2417,,C +41,0,3,"Ahlin, Mrs. Johan (Johanna Persdotter Larsson)",female,40,1,0,7546,9.475,,S +42,0,2,"Turpin, Mrs. William John Robert (Dorothy Ann Wonnacott)",female,27,1,0,11668,21,,S +43,0,3,"Kraeff, Mr. Theodor",male,,0,0,349253,7.8958,,C +44,1,2,"Laroche, Miss. Simonne Marie Anne Andree",female,3,1,2,SC/Paris 2123,41.5792,,C +45,1,3,"Devaney, Miss. Margaret Delia",female,19,0,0,330958,7.8792,,Q +46,0,3,"Rogers, Mr. William John",male,,0,0,S.C./A.4. 23567,8.05,,S +47,0,3,"Lennon, Mr. Denis",male,,1,0,370371,15.5,,Q +48,1,3,"O'Driscoll, Miss. Bridget",female,,0,0,14311,7.75,,Q +49,0,3,"Samaan, Mr. Youssef",male,,2,0,2662,21.6792,,C +50,0,3,"Arnold-Franchi, Mrs. Josef (Josefine Franchi)",female,18,1,0,349237,17.8,,S +51,0,3,"Panula, Master. Juha Niilo",male,7,4,1,3101295,39.6875,,S +52,0,3,"Nosworthy, Mr. Richard Cater",male,21,0,0,A/4. 39886,7.8,,S +53,1,1,"Harper, Mrs. Henry Sleeper (Myna Haxtun)",female,49,1,0,PC 17572,76.7292,D33,C +54,1,2,"Faunthorpe, Mrs. Lizzie (Elizabeth Anne Wilkinson)",female,29,1,0,2926,26,,S +55,0,1,"Ostby, Mr. Engelhart Cornelius",male,65,0,1,113509,61.9792,B30,C +56,1,1,"Woolner, Mr. Hugh",male,,0,0,19947,35.5,C52,S +57,1,2,"Rugg, Miss. Emily",female,21,0,0,C.A. 31026,10.5,,S +58,0,3,"Novel, Mr. Mansouer",male,28.5,0,0,2697,7.2292,,C +59,1,2,"West, Miss. Constance Mirium",female,5,1,2,C.A. 34651,27.75,,S +60,0,3,"Goodwin, Master. William Frederick",male,11,5,2,CA 2144,46.9,,S +61,0,3,"Sirayanian, Mr. Orsen",male,22,0,0,2669,7.2292,,C +62,1,1,"Icard, Miss. Amelie",female,38,0,0,113572,80,B28, +63,0,1,"Harris, Mr. Henry Birkhardt",male,45,1,0,36973,83.475,C83,S +64,0,3,"Skoog, Master. Harald",male,4,3,2,347088,27.9,,S +65,0,1,"Stewart, Mr. Albert A",male,,0,0,PC 17605,27.7208,,C +66,1,3,"Moubarek, Master. Gerios",male,,1,1,2661,15.2458,,C +67,1,2,"Nye, Mrs. (Elizabeth Ramell)",female,29,0,0,C.A. 29395,10.5,F33,S +68,0,3,"Crease, Mr. Ernest James",male,19,0,0,S.P. 3464,8.1583,,S +69,1,3,"Andersson, Miss. Erna Alexandra",female,17,4,2,3101281,7.925,,S +70,0,3,"Kink, Mr. Vincenz",male,26,2,0,315151,8.6625,,S +71,0,2,"Jenkin, Mr. Stephen Curnow",male,32,0,0,C.A. 33111,10.5,,S +72,0,3,"Goodwin, Miss. Lillian Amy",female,16,5,2,CA 2144,46.9,,S +73,0,2,"Hood, Mr. Ambrose Jr",male,21,0,0,S.O.C. 14879,73.5,,S +74,0,3,"Chronopoulos, Mr. Apostolos",male,26,1,0,2680,14.4542,,C +75,1,3,"Bing, Mr. Lee",male,32,0,0,1601,56.4958,,S +76,0,3,"Moen, Mr. Sigurd Hansen",male,25,0,0,348123,7.65,F G73,S +77,0,3,"Staneff, Mr. Ivan",male,,0,0,349208,7.8958,,S +78,0,3,"Moutal, Mr. Rahamin Haim",male,,0,0,374746,8.05,,S +79,1,2,"Caldwell, Master. Alden Gates",male,0.83,0,2,248738,29,,S +80,1,3,"Dowdell, Miss. Elizabeth",female,30,0,0,364516,12.475,,S +81,0,3,"Waelens, Mr. Achille",male,22,0,0,345767,9,,S +82,1,3,"Sheerlinck, Mr. Jan Baptist",male,29,0,0,345779,9.5,,S +83,1,3,"McDermott, Miss. Brigdet Delia",female,,0,0,330932,7.7875,,Q +84,0,1,"Carrau, Mr. Francisco M",male,28,0,0,113059,47.1,,S +85,1,2,"Ilett, Miss. Bertha",female,17,0,0,SO/C 14885,10.5,,S +86,1,3,"Backstrom, Mrs. Karl Alfred (Maria Mathilda Gustafsson)",female,33,3,0,3101278,15.85,,S +87,0,3,"Ford, Mr. William Neal",male,16,1,3,W./C. 6608,34.375,,S +88,0,3,"Slocovski, Mr. Selman Francis",male,,0,0,SOTON/OQ 392086,8.05,,S +89,1,1,"Fortune, Miss. Mabel Helen",female,23,3,2,19950,263,C23 C25 C27,S +90,0,3,"Celotti, Mr. Francesco",male,24,0,0,343275,8.05,,S +91,0,3,"Christmann, Mr. Emil",male,29,0,0,343276,8.05,,S +92,0,3,"Andreasson, Mr. Paul Edvin",male,20,0,0,347466,7.8542,,S +93,0,1,"Chaffee, Mr. Herbert Fuller",male,46,1,0,W.E.P. 5734,61.175,E31,S +94,0,3,"Dean, Mr. Bertram Frank",male,26,1,2,C.A. 2315,20.575,,S +95,0,3,"Coxon, Mr. Daniel",male,59,0,0,364500,7.25,,S +96,0,3,"Shorney, Mr. Charles Joseph",male,,0,0,374910,8.05,,S +97,0,1,"Goldschmidt, Mr. George B",male,71,0,0,PC 17754,34.6542,A5,C +98,1,1,"Greenfield, Mr. William Bertram",male,23,0,1,PC 17759,63.3583,D10 D12,C +99,1,2,"Doling, Mrs. John T (Ada Julia Bone)",female,34,0,1,231919,23,,S +100,0,2,"Kantor, Mr. Sinai",male,34,1,0,244367,26,,S +101,0,3,"Petranec, Miss. Matilda",female,28,0,0,349245,7.8958,,S +102,0,3,"Petroff, Mr. Pastcho (""Pentcho"")",male,,0,0,349215,7.8958,,S +103,0,1,"White, Mr. Richard Frasar",male,21,0,1,35281,77.2875,D26,S +104,0,3,"Johansson, Mr. Gustaf Joel",male,33,0,0,7540,8.6542,,S +105,0,3,"Gustafsson, Mr. Anders Vilhelm",male,37,2,0,3101276,7.925,,S +106,0,3,"Mionoff, Mr. Stoytcho",male,28,0,0,349207,7.8958,,S +107,1,3,"Salkjelsvik, Miss. Anna Kristine",female,21,0,0,343120,7.65,,S +108,1,3,"Moss, Mr. Albert Johan",male,,0,0,312991,7.775,,S +109,0,3,"Rekic, Mr. Tido",male,38,0,0,349249,7.8958,,S +110,1,3,"Moran, Miss. Bertha",female,,1,0,371110,24.15,,Q +111,0,1,"Porter, Mr. Walter Chamberlain",male,47,0,0,110465,52,C110,S +112,0,3,"Zabour, Miss. Hileni",female,14.5,1,0,2665,14.4542,,C +113,0,3,"Barton, Mr. David John",male,22,0,0,324669,8.05,,S +114,0,3,"Jussila, Miss. Katriina",female,20,1,0,4136,9.825,,S +115,0,3,"Attalah, Miss. Malake",female,17,0,0,2627,14.4583,,C +116,0,3,"Pekoniemi, Mr. Edvard",male,21,0,0,STON/O 2. 3101294,7.925,,S +117,0,3,"Connors, Mr. Patrick",male,70.5,0,0,370369,7.75,,Q +118,0,2,"Turpin, Mr. William John Robert",male,29,1,0,11668,21,,S +119,0,1,"Baxter, Mr. Quigg Edmond",male,24,0,1,PC 17558,247.5208,B58 B60,C +120,0,3,"Andersson, Miss. Ellis Anna Maria",female,2,4,2,347082,31.275,,S +121,0,2,"Hickman, Mr. Stanley George",male,21,2,0,S.O.C. 14879,73.5,,S +122,0,3,"Moore, Mr. Leonard Charles",male,,0,0,A4. 54510,8.05,,S +123,0,2,"Nasser, Mr. Nicholas",male,32.5,1,0,237736,30.0708,,C +124,1,2,"Webber, Miss. Susan",female,32.5,0,0,27267,13,E101,S +125,0,1,"White, Mr. Percival Wayland",male,54,0,1,35281,77.2875,D26,S +126,1,3,"Nicola-Yarred, Master. Elias",male,12,1,0,2651,11.2417,,C +127,0,3,"McMahon, Mr. Martin",male,,0,0,370372,7.75,,Q +128,1,3,"Madsen, Mr. Fridtjof Arne",male,24,0,0,C 17369,7.1417,,S +129,1,3,"Peter, Miss. Anna",female,,1,1,2668,22.3583,F E69,C +130,0,3,"Ekstrom, Mr. Johan",male,45,0,0,347061,6.975,,S +131,0,3,"Drazenoic, Mr. Jozef",male,33,0,0,349241,7.8958,,C +132,0,3,"Coelho, Mr. Domingos Fernandeo",male,20,0,0,SOTON/O.Q. 3101307,7.05,,S +133,0,3,"Robins, Mrs. Alexander A (Grace Charity Laury)",female,47,1,0,A/5. 3337,14.5,,S +134,1,2,"Weisz, Mrs. Leopold (Mathilde Francoise Pede)",female,29,1,0,228414,26,,S +135,0,2,"Sobey, Mr. Samuel James Hayden",male,25,0,0,C.A. 29178,13,,S +136,0,2,"Richard, Mr. Emile",male,23,0,0,SC/PARIS 2133,15.0458,,C +137,1,1,"Newsom, Miss. Helen Monypeny",female,19,0,2,11752,26.2833,D47,S +138,0,1,"Futrelle, Mr. Jacques Heath",male,37,1,0,113803,53.1,C123,S +139,0,3,"Osen, Mr. Olaf Elon",male,16,0,0,7534,9.2167,,S +140,0,1,"Giglio, Mr. Victor",male,24,0,0,PC 17593,79.2,B86,C +141,0,3,"Boulos, Mrs. Joseph (Sultana)",female,,0,2,2678,15.2458,,C +142,1,3,"Nysten, Miss. Anna Sofia",female,22,0,0,347081,7.75,,S +143,1,3,"Hakkarainen, Mrs. Pekka Pietari (Elin Matilda Dolck)",female,24,1,0,STON/O2. 3101279,15.85,,S +144,0,3,"Burke, Mr. Jeremiah",male,19,0,0,365222,6.75,,Q +145,0,2,"Andrew, Mr. Edgardo Samuel",male,18,0,0,231945,11.5,,S +146,0,2,"Nicholls, Mr. Joseph Charles",male,19,1,1,C.A. 33112,36.75,,S +147,1,3,"Andersson, Mr. August Edvard (""Wennerstrom"")",male,27,0,0,350043,7.7958,,S +148,0,3,"Ford, Miss. Robina Maggie ""Ruby""",female,9,2,2,W./C. 6608,34.375,,S +149,0,2,"Navratil, Mr. Michel (""Louis M Hoffman"")",male,36.5,0,2,230080,26,F2,S +150,0,2,"Byles, Rev. Thomas Roussel Davids",male,42,0,0,244310,13,,S +151,0,2,"Bateman, Rev. Robert James",male,51,0,0,S.O.P. 1166,12.525,,S +152,1,1,"Pears, Mrs. Thomas (Edith Wearne)",female,22,1,0,113776,66.6,C2,S +153,0,3,"Meo, Mr. Alfonzo",male,55.5,0,0,A.5. 11206,8.05,,S +154,0,3,"van Billiard, Mr. Austin Blyler",male,40.5,0,2,A/5. 851,14.5,,S +155,0,3,"Olsen, Mr. Ole Martin",male,,0,0,Fa 265302,7.3125,,S +156,0,1,"Williams, Mr. Charles Duane",male,51,0,1,PC 17597,61.3792,,C +157,1,3,"Gilnagh, Miss. Katherine ""Katie""",female,16,0,0,35851,7.7333,,Q +158,0,3,"Corn, Mr. Harry",male,30,0,0,SOTON/OQ 392090,8.05,,S +159,0,3,"Smiljanic, Mr. Mile",male,,0,0,315037,8.6625,,S +160,0,3,"Sage, Master. Thomas Henry",male,,8,2,CA. 2343,69.55,,S +161,0,3,"Cribb, Mr. John Hatfield",male,44,0,1,371362,16.1,,S +162,1,2,"Watt, Mrs. James (Elizabeth ""Bessie"" Inglis Milne)",female,40,0,0,C.A. 33595,15.75,,S +163,0,3,"Bengtsson, Mr. John Viktor",male,26,0,0,347068,7.775,,S +164,0,3,"Calic, Mr. Jovo",male,17,0,0,315093,8.6625,,S +165,0,3,"Panula, Master. Eino Viljami",male,1,4,1,3101295,39.6875,,S +166,1,3,"Goldsmith, Master. Frank John William ""Frankie""",male,9,0,2,363291,20.525,,S +167,1,1,"Chibnall, Mrs. (Edith Martha Bowerman)",female,,0,1,113505,55,E33,S +168,0,3,"Skoog, Mrs. William (Anna Bernhardina Karlsson)",female,45,1,4,347088,27.9,,S +169,0,1,"Baumann, Mr. John D",male,,0,0,PC 17318,25.925,,S +170,0,3,"Ling, Mr. Lee",male,28,0,0,1601,56.4958,,S +171,0,1,"Van der hoef, Mr. Wyckoff",male,61,0,0,111240,33.5,B19,S +172,0,3,"Rice, Master. Arthur",male,4,4,1,382652,29.125,,Q +173,1,3,"Johnson, Miss. Eleanor Ileen",female,1,1,1,347742,11.1333,,S +174,0,3,"Sivola, Mr. Antti Wilhelm",male,21,0,0,STON/O 2. 3101280,7.925,,S +175,0,1,"Smith, Mr. James Clinch",male,56,0,0,17764,30.6958,A7,C +176,0,3,"Klasen, Mr. Klas Albin",male,18,1,1,350404,7.8542,,S +177,0,3,"Lefebre, Master. Henry Forbes",male,,3,1,4133,25.4667,,S +178,0,1,"Isham, Miss. Ann Elizabeth",female,50,0,0,PC 17595,28.7125,C49,C +179,0,2,"Hale, Mr. Reginald",male,30,0,0,250653,13,,S +180,0,3,"Leonard, Mr. Lionel",male,36,0,0,LINE,0,,S +181,0,3,"Sage, Miss. Constance Gladys",female,,8,2,CA. 2343,69.55,,S +182,0,2,"Pernot, Mr. Rene",male,,0,0,SC/PARIS 2131,15.05,,C +183,0,3,"Asplund, Master. Clarence Gustaf Hugo",male,9,4,2,347077,31.3875,,S +184,1,2,"Becker, Master. Richard F",male,1,2,1,230136,39,F4,S +185,1,3,"Kink-Heilmann, Miss. Luise Gretchen",female,4,0,2,315153,22.025,,S +186,0,1,"Rood, Mr. Hugh Roscoe",male,,0,0,113767,50,A32,S +187,1,3,"O'Brien, Mrs. Thomas (Johanna ""Hannah"" Godfrey)",female,,1,0,370365,15.5,,Q +188,1,1,"Romaine, Mr. Charles Hallace (""Mr C Rolmane"")",male,45,0,0,111428,26.55,,S +189,0,3,"Bourke, Mr. John",male,40,1,1,364849,15.5,,Q +190,0,3,"Turcin, Mr. Stjepan",male,36,0,0,349247,7.8958,,S +191,1,2,"Pinsky, Mrs. (Rosa)",female,32,0,0,234604,13,,S +192,0,2,"Carbines, Mr. William",male,19,0,0,28424,13,,S +193,1,3,"Andersen-Jensen, Miss. Carla Christine Nielsine",female,19,1,0,350046,7.8542,,S +194,1,2,"Navratil, Master. Michel M",male,3,1,1,230080,26,F2,S +195,1,1,"Brown, Mrs. James Joseph (Margaret Tobin)",female,44,0,0,PC 17610,27.7208,B4,C +196,1,1,"Lurette, Miss. Elise",female,58,0,0,PC 17569,146.5208,B80,C +197,0,3,"Mernagh, Mr. Robert",male,,0,0,368703,7.75,,Q +198,0,3,"Olsen, Mr. Karl Siegwart Andreas",male,42,0,1,4579,8.4042,,S +199,1,3,"Madigan, Miss. Margaret ""Maggie""",female,,0,0,370370,7.75,,Q +200,0,2,"Yrois, Miss. Henriette (""Mrs Harbeck"")",female,24,0,0,248747,13,,S +201,0,3,"Vande Walle, Mr. Nestor Cyriel",male,28,0,0,345770,9.5,,S +202,0,3,"Sage, Mr. Frederick",male,,8,2,CA. 2343,69.55,,S +203,0,3,"Johanson, Mr. Jakob Alfred",male,34,0,0,3101264,6.4958,,S +204,0,3,"Youseff, Mr. Gerious",male,45.5,0,0,2628,7.225,,C +205,1,3,"Cohen, Mr. Gurshon ""Gus""",male,18,0,0,A/5 3540,8.05,,S +206,0,3,"Strom, Miss. Telma Matilda",female,2,0,1,347054,10.4625,G6,S +207,0,3,"Backstrom, Mr. Karl Alfred",male,32,1,0,3101278,15.85,,S +208,1,3,"Albimona, Mr. Nassef Cassem",male,26,0,0,2699,18.7875,,C +209,1,3,"Carr, Miss. Helen ""Ellen""",female,16,0,0,367231,7.75,,Q +210,1,1,"Blank, Mr. Henry",male,40,0,0,112277,31,A31,C +211,0,3,"Ali, Mr. Ahmed",male,24,0,0,SOTON/O.Q. 3101311,7.05,,S +212,1,2,"Cameron, Miss. Clear Annie",female,35,0,0,F.C.C. 13528,21,,S +213,0,3,"Perkin, Mr. John Henry",male,22,0,0,A/5 21174,7.25,,S +214,0,2,"Givard, Mr. Hans Kristensen",male,30,0,0,250646,13,,S +215,0,3,"Kiernan, Mr. Philip",male,,1,0,367229,7.75,,Q +216,1,1,"Newell, Miss. Madeleine",female,31,1,0,35273,113.275,D36,C +217,1,3,"Honkanen, Miss. Eliina",female,27,0,0,STON/O2. 3101283,7.925,,S +218,0,2,"Jacobsohn, Mr. Sidney Samuel",male,42,1,0,243847,27,,S +219,1,1,"Bazzani, Miss. Albina",female,32,0,0,11813,76.2917,D15,C +220,0,2,"Harris, Mr. Walter",male,30,0,0,W/C 14208,10.5,,S +221,1,3,"Sunderland, Mr. Victor Francis",male,16,0,0,SOTON/OQ 392089,8.05,,S +222,0,2,"Bracken, Mr. James H",male,27,0,0,220367,13,,S +223,0,3,"Green, Mr. George Henry",male,51,0,0,21440,8.05,,S +224,0,3,"Nenkoff, Mr. Christo",male,,0,0,349234,7.8958,,S +225,1,1,"Hoyt, Mr. Frederick Maxfield",male,38,1,0,19943,90,C93,S +226,0,3,"Berglund, Mr. Karl Ivar Sven",male,22,0,0,PP 4348,9.35,,S +227,1,2,"Mellors, Mr. William John",male,19,0,0,SW/PP 751,10.5,,S +228,0,3,"Lovell, Mr. John Hall (""Henry"")",male,20.5,0,0,A/5 21173,7.25,,S +229,0,2,"Fahlstrom, Mr. Arne Jonas",male,18,0,0,236171,13,,S +230,0,3,"Lefebre, Miss. Mathilde",female,,3,1,4133,25.4667,,S +231,1,1,"Harris, Mrs. Henry Birkhardt (Irene Wallach)",female,35,1,0,36973,83.475,C83,S +232,0,3,"Larsson, Mr. Bengt Edvin",male,29,0,0,347067,7.775,,S +233,0,2,"Sjostedt, Mr. Ernst Adolf",male,59,0,0,237442,13.5,,S +234,1,3,"Asplund, Miss. Lillian Gertrud",female,5,4,2,347077,31.3875,,S +235,0,2,"Leyson, Mr. Robert William Norman",male,24,0,0,C.A. 29566,10.5,,S +236,0,3,"Harknett, Miss. Alice Phoebe",female,,0,0,W./C. 6609,7.55,,S +237,0,2,"Hold, Mr. Stephen",male,44,1,0,26707,26,,S +238,1,2,"Collyer, Miss. Marjorie ""Lottie""",female,8,0,2,C.A. 31921,26.25,,S +239,0,2,"Pengelly, Mr. Frederick William",male,19,0,0,28665,10.5,,S +240,0,2,"Hunt, Mr. George Henry",male,33,0,0,SCO/W 1585,12.275,,S +241,0,3,"Zabour, Miss. Thamine",female,,1,0,2665,14.4542,,C +242,1,3,"Murphy, Miss. Katherine ""Kate""",female,,1,0,367230,15.5,,Q +243,0,2,"Coleridge, Mr. Reginald Charles",male,29,0,0,W./C. 14263,10.5,,S +244,0,3,"Maenpaa, Mr. Matti Alexanteri",male,22,0,0,STON/O 2. 3101275,7.125,,S +245,0,3,"Attalah, Mr. Sleiman",male,30,0,0,2694,7.225,,C +246,0,1,"Minahan, Dr. William Edward",male,44,2,0,19928,90,C78,Q +247,0,3,"Lindahl, Miss. Agda Thorilda Viktoria",female,25,0,0,347071,7.775,,S +248,1,2,"Hamalainen, Mrs. William (Anna)",female,24,0,2,250649,14.5,,S +249,1,1,"Beckwith, Mr. Richard Leonard",male,37,1,1,11751,52.5542,D35,S +250,0,2,"Carter, Rev. Ernest Courtenay",male,54,1,0,244252,26,,S +251,0,3,"Reed, Mr. James George",male,,0,0,362316,7.25,,S +252,0,3,"Strom, Mrs. Wilhelm (Elna Matilda Persson)",female,29,1,1,347054,10.4625,G6,S +253,0,1,"Stead, Mr. William Thomas",male,62,0,0,113514,26.55,C87,S +254,0,3,"Lobb, Mr. William Arthur",male,30,1,0,A/5. 3336,16.1,,S +255,0,3,"Rosblom, Mrs. Viktor (Helena Wilhelmina)",female,41,0,2,370129,20.2125,,S +256,1,3,"Touma, Mrs. Darwis (Hanne Youssef Razi)",female,29,0,2,2650,15.2458,,C +257,1,1,"Thorne, Mrs. Gertrude Maybelle",female,,0,0,PC 17585,79.2,,C +258,1,1,"Cherry, Miss. Gladys",female,30,0,0,110152,86.5,B77,S +259,1,1,"Ward, Miss. Anna",female,35,0,0,PC 17755,512.3292,,C +260,1,2,"Parrish, Mrs. (Lutie Davis)",female,50,0,1,230433,26,,S +261,0,3,"Smith, Mr. Thomas",male,,0,0,384461,7.75,,Q +262,1,3,"Asplund, Master. Edvin Rojj Felix",male,3,4,2,347077,31.3875,,S +263,0,1,"Taussig, Mr. Emil",male,52,1,1,110413,79.65,E67,S +264,0,1,"Harrison, Mr. William",male,40,0,0,112059,0,B94,S +265,0,3,"Henry, Miss. Delia",female,,0,0,382649,7.75,,Q +266,0,2,"Reeves, Mr. David",male,36,0,0,C.A. 17248,10.5,,S +267,0,3,"Panula, Mr. Ernesti Arvid",male,16,4,1,3101295,39.6875,,S +268,1,3,"Persson, Mr. Ernst Ulrik",male,25,1,0,347083,7.775,,S +269,1,1,"Graham, Mrs. William Thompson (Edith Junkins)",female,58,0,1,PC 17582,153.4625,C125,S +270,1,1,"Bissette, Miss. Amelia",female,35,0,0,PC 17760,135.6333,C99,S +271,0,1,"Cairns, Mr. Alexander",male,,0,0,113798,31,,S +272,1,3,"Tornquist, Mr. William Henry",male,25,0,0,LINE,0,,S +273,1,2,"Mellinger, Mrs. (Elizabeth Anne Maidment)",female,41,0,1,250644,19.5,,S +274,0,1,"Natsch, Mr. Charles H",male,37,0,1,PC 17596,29.7,C118,C +275,1,3,"Healy, Miss. Hanora ""Nora""",female,,0,0,370375,7.75,,Q +276,1,1,"Andrews, Miss. Kornelia Theodosia",female,63,1,0,13502,77.9583,D7,S +277,0,3,"Lindblom, Miss. Augusta Charlotta",female,45,0,0,347073,7.75,,S +278,0,2,"Parkes, Mr. Francis ""Frank""",male,,0,0,239853,0,,S +279,0,3,"Rice, Master. Eric",male,7,4,1,382652,29.125,,Q +280,1,3,"Abbott, Mrs. Stanton (Rosa Hunt)",female,35,1,1,C.A. 2673,20.25,,S +281,0,3,"Duane, Mr. Frank",male,65,0,0,336439,7.75,,Q +282,0,3,"Olsson, Mr. Nils Johan Goransson",male,28,0,0,347464,7.8542,,S +283,0,3,"de Pelsmaeker, Mr. Alfons",male,16,0,0,345778,9.5,,S +284,1,3,"Dorking, Mr. Edward Arthur",male,19,0,0,A/5. 10482,8.05,,S +285,0,1,"Smith, Mr. Richard William",male,,0,0,113056,26,A19,S +286,0,3,"Stankovic, Mr. Ivan",male,33,0,0,349239,8.6625,,C +287,1,3,"de Mulder, Mr. Theodore",male,30,0,0,345774,9.5,,S +288,0,3,"Naidenoff, Mr. Penko",male,22,0,0,349206,7.8958,,S +289,1,2,"Hosono, Mr. Masabumi",male,42,0,0,237798,13,,S +290,1,3,"Connolly, Miss. Kate",female,22,0,0,370373,7.75,,Q +291,1,1,"Barber, Miss. Ellen ""Nellie""",female,26,0,0,19877,78.85,,S +292,1,1,"Bishop, Mrs. Dickinson H (Helen Walton)",female,19,1,0,11967,91.0792,B49,C +293,0,2,"Levy, Mr. Rene Jacques",male,36,0,0,SC/Paris 2163,12.875,D,C +294,0,3,"Haas, Miss. Aloisia",female,24,0,0,349236,8.85,,S +295,0,3,"Mineff, Mr. Ivan",male,24,0,0,349233,7.8958,,S +296,0,1,"Lewy, Mr. Ervin G",male,,0,0,PC 17612,27.7208,,C +297,0,3,"Hanna, Mr. Mansour",male,23.5,0,0,2693,7.2292,,C +298,0,1,"Allison, Miss. Helen Loraine",female,2,1,2,113781,151.55,C22 C26,S +299,1,1,"Saalfeld, Mr. Adolphe",male,,0,0,19988,30.5,C106,S +300,1,1,"Baxter, Mrs. James (Helene DeLaudeniere Chaput)",female,50,0,1,PC 17558,247.5208,B58 B60,C +301,1,3,"Kelly, Miss. Anna Katherine ""Annie Kate""",female,,0,0,9234,7.75,,Q +302,1,3,"McCoy, Mr. Bernard",male,,2,0,367226,23.25,,Q +303,0,3,"Johnson, Mr. William Cahoone Jr",male,19,0,0,LINE,0,,S +304,1,2,"Keane, Miss. Nora A",female,,0,0,226593,12.35,E101,Q +305,0,3,"Williams, Mr. Howard Hugh ""Harry""",male,,0,0,A/5 2466,8.05,,S +306,1,1,"Allison, Master. Hudson Trevor",male,0.92,1,2,113781,151.55,C22 C26,S +307,1,1,"Fleming, Miss. Margaret",female,,0,0,17421,110.8833,,C +308,1,1,"Penasco y Castellana, Mrs. Victor de Satode (Maria Josefa Perez de Soto y Vallejo)",female,17,1,0,PC 17758,108.9,C65,C +309,0,2,"Abelson, Mr. Samuel",male,30,1,0,P/PP 3381,24,,C +310,1,1,"Francatelli, Miss. Laura Mabel",female,30,0,0,PC 17485,56.9292,E36,C +311,1,1,"Hays, Miss. Margaret Bechstein",female,24,0,0,11767,83.1583,C54,C +312,1,1,"Ryerson, Miss. Emily Borie",female,18,2,2,PC 17608,262.375,B57 B59 B63 B66,C +313,0,2,"Lahtinen, Mrs. William (Anna Sylfven)",female,26,1,1,250651,26,,S +314,0,3,"Hendekovic, Mr. Ignjac",male,28,0,0,349243,7.8958,,S +315,0,2,"Hart, Mr. Benjamin",male,43,1,1,F.C.C. 13529,26.25,,S +316,1,3,"Nilsson, Miss. Helmina Josefina",female,26,0,0,347470,7.8542,,S +317,1,2,"Kantor, Mrs. Sinai (Miriam Sternin)",female,24,1,0,244367,26,,S +318,0,2,"Moraweck, Dr. Ernest",male,54,0,0,29011,14,,S +319,1,1,"Wick, Miss. Mary Natalie",female,31,0,2,36928,164.8667,C7,S +320,1,1,"Spedden, Mrs. Frederic Oakley (Margaretta Corning Stone)",female,40,1,1,16966,134.5,E34,C +321,0,3,"Dennis, Mr. Samuel",male,22,0,0,A/5 21172,7.25,,S +322,0,3,"Danoff, Mr. Yoto",male,27,0,0,349219,7.8958,,S +323,1,2,"Slayter, Miss. Hilda Mary",female,30,0,0,234818,12.35,,Q +324,1,2,"Caldwell, Mrs. Albert Francis (Sylvia Mae Harbaugh)",female,22,1,1,248738,29,,S +325,0,3,"Sage, Mr. George John Jr",male,,8,2,CA. 2343,69.55,,S +326,1,1,"Young, Miss. Marie Grice",female,36,0,0,PC 17760,135.6333,C32,C +327,0,3,"Nysveen, Mr. Johan Hansen",male,61,0,0,345364,6.2375,,S +328,1,2,"Ball, Mrs. (Ada E Hall)",female,36,0,0,28551,13,D,S +329,1,3,"Goldsmith, Mrs. Frank John (Emily Alice Brown)",female,31,1,1,363291,20.525,,S +330,1,1,"Hippach, Miss. Jean Gertrude",female,16,0,1,111361,57.9792,B18,C +331,1,3,"McCoy, Miss. Agnes",female,,2,0,367226,23.25,,Q +332,0,1,"Partner, Mr. Austen",male,45.5,0,0,113043,28.5,C124,S +333,0,1,"Graham, Mr. George Edward",male,38,0,1,PC 17582,153.4625,C91,S +334,0,3,"Vander Planke, Mr. Leo Edmondus",male,16,2,0,345764,18,,S +335,1,1,"Frauenthal, Mrs. Henry William (Clara Heinsheimer)",female,,1,0,PC 17611,133.65,,S +336,0,3,"Denkoff, Mr. Mitto",male,,0,0,349225,7.8958,,S +337,0,1,"Pears, Mr. Thomas Clinton",male,29,1,0,113776,66.6,C2,S +338,1,1,"Burns, Miss. Elizabeth Margaret",female,41,0,0,16966,134.5,E40,C +339,1,3,"Dahl, Mr. Karl Edwart",male,45,0,0,7598,8.05,,S +340,0,1,"Blackwell, Mr. Stephen Weart",male,45,0,0,113784,35.5,T,S +341,1,2,"Navratil, Master. Edmond Roger",male,2,1,1,230080,26,F2,S +342,1,1,"Fortune, Miss. Alice Elizabeth",female,24,3,2,19950,263,C23 C25 C27,S +343,0,2,"Collander, Mr. Erik Gustaf",male,28,0,0,248740,13,,S +344,0,2,"Sedgwick, Mr. Charles Frederick Waddington",male,25,0,0,244361,13,,S +345,0,2,"Fox, Mr. Stanley Hubert",male,36,0,0,229236,13,,S +346,1,2,"Brown, Miss. Amelia ""Mildred""",female,24,0,0,248733,13,F33,S +347,1,2,"Smith, Miss. Marion Elsie",female,40,0,0,31418,13,,S +348,1,3,"Davison, Mrs. Thomas Henry (Mary E Finck)",female,,1,0,386525,16.1,,S +349,1,3,"Coutts, Master. William Loch ""William""",male,3,1,1,C.A. 37671,15.9,,S +350,0,3,"Dimic, Mr. Jovan",male,42,0,0,315088,8.6625,,S +351,0,3,"Odahl, Mr. Nils Martin",male,23,0,0,7267,9.225,,S +352,0,1,"Williams-Lambert, Mr. Fletcher Fellows",male,,0,0,113510,35,C128,S +353,0,3,"Elias, Mr. Tannous",male,15,1,1,2695,7.2292,,C +354,0,3,"Arnold-Franchi, Mr. Josef",male,25,1,0,349237,17.8,,S +355,0,3,"Yousif, Mr. Wazli",male,,0,0,2647,7.225,,C +356,0,3,"Vanden Steen, Mr. Leo Peter",male,28,0,0,345783,9.5,,S +357,1,1,"Bowerman, Miss. Elsie Edith",female,22,0,1,113505,55,E33,S +358,0,2,"Funk, Miss. Annie Clemmer",female,38,0,0,237671,13,,S +359,1,3,"McGovern, Miss. Mary",female,,0,0,330931,7.8792,,Q +360,1,3,"Mockler, Miss. Helen Mary ""Ellie""",female,,0,0,330980,7.8792,,Q +361,0,3,"Skoog, Mr. Wilhelm",male,40,1,4,347088,27.9,,S +362,0,2,"del Carlo, Mr. Sebastiano",male,29,1,0,SC/PARIS 2167,27.7208,,C +363,0,3,"Barbara, Mrs. (Catherine David)",female,45,0,1,2691,14.4542,,C +364,0,3,"Asim, Mr. Adola",male,35,0,0,SOTON/O.Q. 3101310,7.05,,S +365,0,3,"O'Brien, Mr. Thomas",male,,1,0,370365,15.5,,Q +366,0,3,"Adahl, Mr. Mauritz Nils Martin",male,30,0,0,C 7076,7.25,,S +367,1,1,"Warren, Mrs. Frank Manley (Anna Sophia Atkinson)",female,60,1,0,110813,75.25,D37,C +368,1,3,"Moussa, Mrs. (Mantoura Boulos)",female,,0,0,2626,7.2292,,C +369,1,3,"Jermyn, Miss. Annie",female,,0,0,14313,7.75,,Q +370,1,1,"Aubart, Mme. Leontine Pauline",female,24,0,0,PC 17477,69.3,B35,C +371,1,1,"Harder, Mr. George Achilles",male,25,1,0,11765,55.4417,E50,C +372,0,3,"Wiklund, Mr. Jakob Alfred",male,18,1,0,3101267,6.4958,,S +373,0,3,"Beavan, Mr. William Thomas",male,19,0,0,323951,8.05,,S +374,0,1,"Ringhini, Mr. Sante",male,22,0,0,PC 17760,135.6333,,C +375,0,3,"Palsson, Miss. Stina Viola",female,3,3,1,349909,21.075,,S +376,1,1,"Meyer, Mrs. Edgar Joseph (Leila Saks)",female,,1,0,PC 17604,82.1708,,C +377,1,3,"Landergren, Miss. Aurora Adelia",female,22,0,0,C 7077,7.25,,S +378,0,1,"Widener, Mr. Harry Elkins",male,27,0,2,113503,211.5,C82,C +379,0,3,"Betros, Mr. Tannous",male,20,0,0,2648,4.0125,,C +380,0,3,"Gustafsson, Mr. Karl Gideon",male,19,0,0,347069,7.775,,S +381,1,1,"Bidois, Miss. Rosalie",female,42,0,0,PC 17757,227.525,,C +382,1,3,"Nakid, Miss. Maria (""Mary"")",female,1,0,2,2653,15.7417,,C +383,0,3,"Tikkanen, Mr. Juho",male,32,0,0,STON/O 2. 3101293,7.925,,S +384,1,1,"Holverson, Mrs. Alexander Oskar (Mary Aline Towner)",female,35,1,0,113789,52,,S +385,0,3,"Plotcharsky, Mr. Vasil",male,,0,0,349227,7.8958,,S +386,0,2,"Davies, Mr. Charles Henry",male,18,0,0,S.O.C. 14879,73.5,,S +387,0,3,"Goodwin, Master. Sidney Leonard",male,1,5,2,CA 2144,46.9,,S +388,1,2,"Buss, Miss. Kate",female,36,0,0,27849,13,,S +389,0,3,"Sadlier, Mr. Matthew",male,,0,0,367655,7.7292,,Q +390,1,2,"Lehmann, Miss. Bertha",female,17,0,0,SC 1748,12,,C +391,1,1,"Carter, Mr. William Ernest",male,36,1,2,113760,120,B96 B98,S +392,1,3,"Jansson, Mr. Carl Olof",male,21,0,0,350034,7.7958,,S +393,0,3,"Gustafsson, Mr. Johan Birger",male,28,2,0,3101277,7.925,,S +394,1,1,"Newell, Miss. Marjorie",female,23,1,0,35273,113.275,D36,C +395,1,3,"Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)",female,24,0,2,PP 9549,16.7,G6,S +396,0,3,"Johansson, Mr. Erik",male,22,0,0,350052,7.7958,,S +397,0,3,"Olsson, Miss. Elina",female,31,0,0,350407,7.8542,,S +398,0,2,"McKane, Mr. Peter David",male,46,0,0,28403,26,,S +399,0,2,"Pain, Dr. Alfred",male,23,0,0,244278,10.5,,S +400,1,2,"Trout, Mrs. William H (Jessie L)",female,28,0,0,240929,12.65,,S +401,1,3,"Niskanen, Mr. Juha",male,39,0,0,STON/O 2. 3101289,7.925,,S +402,0,3,"Adams, Mr. John",male,26,0,0,341826,8.05,,S +403,0,3,"Jussila, Miss. Mari Aina",female,21,1,0,4137,9.825,,S +404,0,3,"Hakkarainen, Mr. Pekka Pietari",male,28,1,0,STON/O2. 3101279,15.85,,S +405,0,3,"Oreskovic, Miss. Marija",female,20,0,0,315096,8.6625,,S +406,0,2,"Gale, Mr. Shadrach",male,34,1,0,28664,21,,S +407,0,3,"Widegren, Mr. Carl/Charles Peter",male,51,0,0,347064,7.75,,S +408,1,2,"Richards, Master. William Rowe",male,3,1,1,29106,18.75,,S +409,0,3,"Birkeland, Mr. Hans Martin Monsen",male,21,0,0,312992,7.775,,S +410,0,3,"Lefebre, Miss. Ida",female,,3,1,4133,25.4667,,S +411,0,3,"Sdycoff, Mr. Todor",male,,0,0,349222,7.8958,,S +412,0,3,"Hart, Mr. Henry",male,,0,0,394140,6.8583,,Q +413,1,1,"Minahan, Miss. Daisy E",female,33,1,0,19928,90,C78,Q +414,0,2,"Cunningham, Mr. Alfred Fleming",male,,0,0,239853,0,,S +415,1,3,"Sundman, Mr. Johan Julian",male,44,0,0,STON/O 2. 3101269,7.925,,S +416,0,3,"Meek, Mrs. Thomas (Annie Louise Rowley)",female,,0,0,343095,8.05,,S +417,1,2,"Drew, Mrs. James Vivian (Lulu Thorne Christian)",female,34,1,1,28220,32.5,,S +418,1,2,"Silven, Miss. Lyyli Karoliina",female,18,0,2,250652,13,,S +419,0,2,"Matthews, Mr. William John",male,30,0,0,28228,13,,S +420,0,3,"Van Impe, Miss. Catharina",female,10,0,2,345773,24.15,,S +421,0,3,"Gheorgheff, Mr. Stanio",male,,0,0,349254,7.8958,,C +422,0,3,"Charters, Mr. David",male,21,0,0,A/5. 13032,7.7333,,Q +423,0,3,"Zimmerman, Mr. Leo",male,29,0,0,315082,7.875,,S +424,0,3,"Danbom, Mrs. Ernst Gilbert (Anna Sigrid Maria Brogren)",female,28,1,1,347080,14.4,,S +425,0,3,"Rosblom, Mr. Viktor Richard",male,18,1,1,370129,20.2125,,S +426,0,3,"Wiseman, Mr. Phillippe",male,,0,0,A/4. 34244,7.25,,S +427,1,2,"Clarke, Mrs. Charles V (Ada Maria Winfield)",female,28,1,0,2003,26,,S +428,1,2,"Phillips, Miss. Kate Florence (""Mrs Kate Louise Phillips Marshall"")",female,19,0,0,250655,26,,S +429,0,3,"Flynn, Mr. James",male,,0,0,364851,7.75,,Q +430,1,3,"Pickard, Mr. Berk (Berk Trembisky)",male,32,0,0,SOTON/O.Q. 392078,8.05,E10,S +431,1,1,"Bjornstrom-Steffansson, Mr. Mauritz Hakan",male,28,0,0,110564,26.55,C52,S +432,1,3,"Thorneycroft, Mrs. Percival (Florence Kate White)",female,,1,0,376564,16.1,,S +433,1,2,"Louch, Mrs. Charles Alexander (Alice Adelaide Slow)",female,42,1,0,SC/AH 3085,26,,S +434,0,3,"Kallio, Mr. Nikolai Erland",male,17,0,0,STON/O 2. 3101274,7.125,,S +435,0,1,"Silvey, Mr. William Baird",male,50,1,0,13507,55.9,E44,S +436,1,1,"Carter, Miss. Lucile Polk",female,14,1,2,113760,120,B96 B98,S +437,0,3,"Ford, Miss. Doolina Margaret ""Daisy""",female,21,2,2,W./C. 6608,34.375,,S +438,1,2,"Richards, Mrs. Sidney (Emily Hocking)",female,24,2,3,29106,18.75,,S +439,0,1,"Fortune, Mr. Mark",male,64,1,4,19950,263,C23 C25 C27,S +440,0,2,"Kvillner, Mr. Johan Henrik Johannesson",male,31,0,0,C.A. 18723,10.5,,S +441,1,2,"Hart, Mrs. Benjamin (Esther Ada Bloomfield)",female,45,1,1,F.C.C. 13529,26.25,,S +442,0,3,"Hampe, Mr. Leon",male,20,0,0,345769,9.5,,S +443,0,3,"Petterson, Mr. Johan Emil",male,25,1,0,347076,7.775,,S +444,1,2,"Reynaldo, Ms. Encarnacion",female,28,0,0,230434,13,,S +445,1,3,"Johannesen-Bratthammer, Mr. Bernt",male,,0,0,65306,8.1125,,S +446,1,1,"Dodge, Master. Washington",male,4,0,2,33638,81.8583,A34,S +447,1,2,"Mellinger, Miss. Madeleine Violet",female,13,0,1,250644,19.5,,S +448,1,1,"Seward, Mr. Frederic Kimber",male,34,0,0,113794,26.55,,S +449,1,3,"Baclini, Miss. Marie Catherine",female,5,2,1,2666,19.2583,,C +450,1,1,"Peuchen, Major. Arthur Godfrey",male,52,0,0,113786,30.5,C104,S +451,0,2,"West, Mr. Edwy Arthur",male,36,1,2,C.A. 34651,27.75,,S +452,0,3,"Hagland, Mr. Ingvald Olai Olsen",male,,1,0,65303,19.9667,,S +453,0,1,"Foreman, Mr. Benjamin Laventall",male,30,0,0,113051,27.75,C111,C +454,1,1,"Goldenberg, Mr. Samuel L",male,49,1,0,17453,89.1042,C92,C +455,0,3,"Peduzzi, Mr. Joseph",male,,0,0,A/5 2817,8.05,,S +456,1,3,"Jalsevac, Mr. Ivan",male,29,0,0,349240,7.8958,,C +457,0,1,"Millet, Mr. Francis Davis",male,65,0,0,13509,26.55,E38,S +458,1,1,"Kenyon, Mrs. Frederick R (Marion)",female,,1,0,17464,51.8625,D21,S +459,1,2,"Toomey, Miss. Ellen",female,50,0,0,F.C.C. 13531,10.5,,S +460,0,3,"O'Connor, Mr. Maurice",male,,0,0,371060,7.75,,Q +461,1,1,"Anderson, Mr. Harry",male,48,0,0,19952,26.55,E12,S +462,0,3,"Morley, Mr. William",male,34,0,0,364506,8.05,,S +463,0,1,"Gee, Mr. Arthur H",male,47,0,0,111320,38.5,E63,S +464,0,2,"Milling, Mr. Jacob Christian",male,48,0,0,234360,13,,S +465,0,3,"Maisner, Mr. Simon",male,,0,0,A/S 2816,8.05,,S +466,0,3,"Goncalves, Mr. Manuel Estanslas",male,38,0,0,SOTON/O.Q. 3101306,7.05,,S +467,0,2,"Campbell, Mr. William",male,,0,0,239853,0,,S +468,0,1,"Smart, Mr. John Montgomery",male,56,0,0,113792,26.55,,S +469,0,3,"Scanlan, Mr. James",male,,0,0,36209,7.725,,Q +470,1,3,"Baclini, Miss. Helene Barbara",female,0.75,2,1,2666,19.2583,,C +471,0,3,"Keefe, Mr. Arthur",male,,0,0,323592,7.25,,S +472,0,3,"Cacic, Mr. Luka",male,38,0,0,315089,8.6625,,S +473,1,2,"West, Mrs. Edwy Arthur (Ada Mary Worth)",female,33,1,2,C.A. 34651,27.75,,S +474,1,2,"Jerwan, Mrs. Amin S (Marie Marthe Thuillard)",female,23,0,0,SC/AH Basle 541,13.7917,D,C +475,0,3,"Strandberg, Miss. Ida Sofia",female,22,0,0,7553,9.8375,,S +476,0,1,"Clifford, Mr. George Quincy",male,,0,0,110465,52,A14,S +477,0,2,"Renouf, Mr. Peter Henry",male,34,1,0,31027,21,,S +478,0,3,"Braund, Mr. Lewis Richard",male,29,1,0,3460,7.0458,,S +479,0,3,"Karlsson, Mr. Nils August",male,22,0,0,350060,7.5208,,S +480,1,3,"Hirvonen, Miss. Hildur E",female,2,0,1,3101298,12.2875,,S +481,0,3,"Goodwin, Master. Harold Victor",male,9,5,2,CA 2144,46.9,,S +482,0,2,"Frost, Mr. Anthony Wood ""Archie""",male,,0,0,239854,0,,S +483,0,3,"Rouse, Mr. Richard Henry",male,50,0,0,A/5 3594,8.05,,S +484,1,3,"Turkula, Mrs. (Hedwig)",female,63,0,0,4134,9.5875,,S +485,1,1,"Bishop, Mr. Dickinson H",male,25,1,0,11967,91.0792,B49,C +486,0,3,"Lefebre, Miss. Jeannie",female,,3,1,4133,25.4667,,S +487,1,1,"Hoyt, Mrs. Frederick Maxfield (Jane Anne Forby)",female,35,1,0,19943,90,C93,S +488,0,1,"Kent, Mr. Edward Austin",male,58,0,0,11771,29.7,B37,C +489,0,3,"Somerton, Mr. Francis William",male,30,0,0,A.5. 18509,8.05,,S +490,1,3,"Coutts, Master. Eden Leslie ""Neville""",male,9,1,1,C.A. 37671,15.9,,S +491,0,3,"Hagland, Mr. Konrad Mathias Reiersen",male,,1,0,65304,19.9667,,S +492,0,3,"Windelov, Mr. Einar",male,21,0,0,SOTON/OQ 3101317,7.25,,S +493,0,1,"Molson, Mr. Harry Markland",male,55,0,0,113787,30.5,C30,S +494,0,1,"Artagaveytia, Mr. Ramon",male,71,0,0,PC 17609,49.5042,,C +495,0,3,"Stanley, Mr. Edward Roland",male,21,0,0,A/4 45380,8.05,,S +496,0,3,"Yousseff, Mr. Gerious",male,,0,0,2627,14.4583,,C +497,1,1,"Eustis, Miss. Elizabeth Mussey",female,54,1,0,36947,78.2667,D20,C +498,0,3,"Shellard, Mr. Frederick William",male,,0,0,C.A. 6212,15.1,,S +499,0,1,"Allison, Mrs. Hudson J C (Bessie Waldo Daniels)",female,25,1,2,113781,151.55,C22 C26,S +500,0,3,"Svensson, Mr. Olof",male,24,0,0,350035,7.7958,,S +501,0,3,"Calic, Mr. Petar",male,17,0,0,315086,8.6625,,S +502,0,3,"Canavan, Miss. Mary",female,21,0,0,364846,7.75,,Q +503,0,3,"O'Sullivan, Miss. Bridget Mary",female,,0,0,330909,7.6292,,Q +504,0,3,"Laitinen, Miss. Kristina Sofia",female,37,0,0,4135,9.5875,,S +505,1,1,"Maioni, Miss. Roberta",female,16,0,0,110152,86.5,B79,S +506,0,1,"Penasco y Castellana, Mr. Victor de Satode",male,18,1,0,PC 17758,108.9,C65,C +507,1,2,"Quick, Mrs. Frederick Charles (Jane Richards)",female,33,0,2,26360,26,,S +508,1,1,"Bradley, Mr. George (""George Arthur Brayton"")",male,,0,0,111427,26.55,,S +509,0,3,"Olsen, Mr. Henry Margido",male,28,0,0,C 4001,22.525,,S +510,1,3,"Lang, Mr. Fang",male,26,0,0,1601,56.4958,,S +511,1,3,"Daly, Mr. Eugene Patrick",male,29,0,0,382651,7.75,,Q +512,0,3,"Webber, Mr. James",male,,0,0,SOTON/OQ 3101316,8.05,,S +513,1,1,"McGough, Mr. James Robert",male,36,0,0,PC 17473,26.2875,E25,S +514,1,1,"Rothschild, Mrs. Martin (Elizabeth L. Barrett)",female,54,1,0,PC 17603,59.4,,C +515,0,3,"Coleff, Mr. Satio",male,24,0,0,349209,7.4958,,S +516,0,1,"Walker, Mr. William Anderson",male,47,0,0,36967,34.0208,D46,S +517,1,2,"Lemore, Mrs. (Amelia Milley)",female,34,0,0,C.A. 34260,10.5,F33,S +518,0,3,"Ryan, Mr. Patrick",male,,0,0,371110,24.15,,Q +519,1,2,"Angle, Mrs. William A (Florence ""Mary"" Agnes Hughes)",female,36,1,0,226875,26,,S +520,0,3,"Pavlovic, Mr. Stefo",male,32,0,0,349242,7.8958,,S +521,1,1,"Perreault, Miss. Anne",female,30,0,0,12749,93.5,B73,S +522,0,3,"Vovk, Mr. Janko",male,22,0,0,349252,7.8958,,S +523,0,3,"Lahoud, Mr. Sarkis",male,,0,0,2624,7.225,,C +524,1,1,"Hippach, Mrs. Louis Albert (Ida Sophia Fischer)",female,44,0,1,111361,57.9792,B18,C +525,0,3,"Kassem, Mr. Fared",male,,0,0,2700,7.2292,,C +526,0,3,"Farrell, Mr. James",male,40.5,0,0,367232,7.75,,Q +527,1,2,"Ridsdale, Miss. Lucy",female,50,0,0,W./C. 14258,10.5,,S +528,0,1,"Farthing, Mr. John",male,,0,0,PC 17483,221.7792,C95,S +529,0,3,"Salonen, Mr. Johan Werner",male,39,0,0,3101296,7.925,,S +530,0,2,"Hocking, Mr. Richard George",male,23,2,1,29104,11.5,,S +531,1,2,"Quick, Miss. Phyllis May",female,2,1,1,26360,26,,S +532,0,3,"Toufik, Mr. Nakli",male,,0,0,2641,7.2292,,C +533,0,3,"Elias, Mr. Joseph Jr",male,17,1,1,2690,7.2292,,C +534,1,3,"Peter, Mrs. Catherine (Catherine Rizk)",female,,0,2,2668,22.3583,,C +535,0,3,"Cacic, Miss. Marija",female,30,0,0,315084,8.6625,,S +536,1,2,"Hart, Miss. Eva Miriam",female,7,0,2,F.C.C. 13529,26.25,,S +537,0,1,"Butt, Major. Archibald Willingham",male,45,0,0,113050,26.55,B38,S +538,1,1,"LeRoy, Miss. Bertha",female,30,0,0,PC 17761,106.425,,C +539,0,3,"Risien, Mr. Samuel Beard",male,,0,0,364498,14.5,,S +540,1,1,"Frolicher, Miss. Hedwig Margaritha",female,22,0,2,13568,49.5,B39,C +541,1,1,"Crosby, Miss. Harriet R",female,36,0,2,WE/P 5735,71,B22,S +542,0,3,"Andersson, Miss. Ingeborg Constanzia",female,9,4,2,347082,31.275,,S +543,0,3,"Andersson, Miss. Sigrid Elisabeth",female,11,4,2,347082,31.275,,S +544,1,2,"Beane, Mr. Edward",male,32,1,0,2908,26,,S +545,0,1,"Douglas, Mr. Walter Donald",male,50,1,0,PC 17761,106.425,C86,C +546,0,1,"Nicholson, Mr. Arthur Ernest",male,64,0,0,693,26,,S +547,1,2,"Beane, Mrs. Edward (Ethel Clarke)",female,19,1,0,2908,26,,S +548,1,2,"Padro y Manent, Mr. Julian",male,,0,0,SC/PARIS 2146,13.8625,,C +549,0,3,"Goldsmith, Mr. Frank John",male,33,1,1,363291,20.525,,S +550,1,2,"Davies, Master. John Morgan Jr",male,8,1,1,C.A. 33112,36.75,,S +551,1,1,"Thayer, Mr. John Borland Jr",male,17,0,2,17421,110.8833,C70,C +552,0,2,"Sharp, Mr. Percival James R",male,27,0,0,244358,26,,S +553,0,3,"O'Brien, Mr. Timothy",male,,0,0,330979,7.8292,,Q +554,1,3,"Leeni, Mr. Fahim (""Philip Zenni"")",male,22,0,0,2620,7.225,,C +555,1,3,"Ohman, Miss. Velin",female,22,0,0,347085,7.775,,S +556,0,1,"Wright, Mr. George",male,62,0,0,113807,26.55,,S +557,1,1,"Duff Gordon, Lady. (Lucille Christiana Sutherland) (""Mrs Morgan"")",female,48,1,0,11755,39.6,A16,C +558,0,1,"Robbins, Mr. Victor",male,,0,0,PC 17757,227.525,,C +559,1,1,"Taussig, Mrs. Emil (Tillie Mandelbaum)",female,39,1,1,110413,79.65,E67,S +560,1,3,"de Messemaeker, Mrs. Guillaume Joseph (Emma)",female,36,1,0,345572,17.4,,S +561,0,3,"Morrow, Mr. Thomas Rowan",male,,0,0,372622,7.75,,Q +562,0,3,"Sivic, Mr. Husein",male,40,0,0,349251,7.8958,,S +563,0,2,"Norman, Mr. Robert Douglas",male,28,0,0,218629,13.5,,S +564,0,3,"Simmons, Mr. John",male,,0,0,SOTON/OQ 392082,8.05,,S +565,0,3,"Meanwell, Miss. (Marion Ogden)",female,,0,0,SOTON/O.Q. 392087,8.05,,S +566,0,3,"Davies, Mr. Alfred J",male,24,2,0,A/4 48871,24.15,,S +567,0,3,"Stoytcheff, Mr. Ilia",male,19,0,0,349205,7.8958,,S +568,0,3,"Palsson, Mrs. Nils (Alma Cornelia Berglund)",female,29,0,4,349909,21.075,,S +569,0,3,"Doharr, Mr. Tannous",male,,0,0,2686,7.2292,,C +570,1,3,"Jonsson, Mr. Carl",male,32,0,0,350417,7.8542,,S +571,1,2,"Harris, Mr. George",male,62,0,0,S.W./PP 752,10.5,,S +572,1,1,"Appleton, Mrs. Edward Dale (Charlotte Lamson)",female,53,2,0,11769,51.4792,C101,S +573,1,1,"Flynn, Mr. John Irwin (""Irving"")",male,36,0,0,PC 17474,26.3875,E25,S +574,1,3,"Kelly, Miss. Mary",female,,0,0,14312,7.75,,Q +575,0,3,"Rush, Mr. Alfred George John",male,16,0,0,A/4. 20589,8.05,,S +576,0,3,"Patchett, Mr. George",male,19,0,0,358585,14.5,,S +577,1,2,"Garside, Miss. Ethel",female,34,0,0,243880,13,,S +578,1,1,"Silvey, Mrs. William Baird (Alice Munger)",female,39,1,0,13507,55.9,E44,S +579,0,3,"Caram, Mrs. Joseph (Maria Elias)",female,,1,0,2689,14.4583,,C +580,1,3,"Jussila, Mr. Eiriik",male,32,0,0,STON/O 2. 3101286,7.925,,S +581,1,2,"Christy, Miss. Julie Rachel",female,25,1,1,237789,30,,S +582,1,1,"Thayer, Mrs. John Borland (Marian Longstreth Morris)",female,39,1,1,17421,110.8833,C68,C +583,0,2,"Downton, Mr. William James",male,54,0,0,28403,26,,S +584,0,1,"Ross, Mr. John Hugo",male,36,0,0,13049,40.125,A10,C +585,0,3,"Paulner, Mr. Uscher",male,,0,0,3411,8.7125,,C +586,1,1,"Taussig, Miss. Ruth",female,18,0,2,110413,79.65,E68,S +587,0,2,"Jarvis, Mr. John Denzil",male,47,0,0,237565,15,,S +588,1,1,"Frolicher-Stehli, Mr. Maxmillian",male,60,1,1,13567,79.2,B41,C +589,0,3,"Gilinski, Mr. Eliezer",male,22,0,0,14973,8.05,,S +590,0,3,"Murdlin, Mr. Joseph",male,,0,0,A./5. 3235,8.05,,S +591,0,3,"Rintamaki, Mr. Matti",male,35,0,0,STON/O 2. 3101273,7.125,,S +592,1,1,"Stephenson, Mrs. Walter Bertram (Martha Eustis)",female,52,1,0,36947,78.2667,D20,C +593,0,3,"Elsbury, Mr. William James",male,47,0,0,A/5 3902,7.25,,S +594,0,3,"Bourke, Miss. Mary",female,,0,2,364848,7.75,,Q +595,0,2,"Chapman, Mr. John Henry",male,37,1,0,SC/AH 29037,26,,S +596,0,3,"Van Impe, Mr. Jean Baptiste",male,36,1,1,345773,24.15,,S +597,1,2,"Leitch, Miss. Jessie Wills",female,,0,0,248727,33,,S +598,0,3,"Johnson, Mr. Alfred",male,49,0,0,LINE,0,,S +599,0,3,"Boulos, Mr. Hanna",male,,0,0,2664,7.225,,C +600,1,1,"Duff Gordon, Sir. Cosmo Edmund (""Mr Morgan"")",male,49,1,0,PC 17485,56.9292,A20,C +601,1,2,"Jacobsohn, Mrs. Sidney Samuel (Amy Frances Christy)",female,24,2,1,243847,27,,S +602,0,3,"Slabenoff, Mr. Petco",male,,0,0,349214,7.8958,,S +603,0,1,"Harrington, Mr. Charles H",male,,0,0,113796,42.4,,S +604,0,3,"Torber, Mr. Ernst William",male,44,0,0,364511,8.05,,S +605,1,1,"Homer, Mr. Harry (""Mr E Haven"")",male,35,0,0,111426,26.55,,C +606,0,3,"Lindell, Mr. Edvard Bengtsson",male,36,1,0,349910,15.55,,S +607,0,3,"Karaic, Mr. Milan",male,30,0,0,349246,7.8958,,S +608,1,1,"Daniel, Mr. Robert Williams",male,27,0,0,113804,30.5,,S +609,1,2,"Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)",female,22,1,2,SC/Paris 2123,41.5792,,C +610,1,1,"Shutes, Miss. Elizabeth W",female,40,0,0,PC 17582,153.4625,C125,S +611,0,3,"Andersson, Mrs. Anders Johan (Alfrida Konstantia Brogren)",female,39,1,5,347082,31.275,,S +612,0,3,"Jardin, Mr. Jose Neto",male,,0,0,SOTON/O.Q. 3101305,7.05,,S +613,1,3,"Murphy, Miss. Margaret Jane",female,,1,0,367230,15.5,,Q +614,0,3,"Horgan, Mr. John",male,,0,0,370377,7.75,,Q +615,0,3,"Brocklebank, Mr. William Alfred",male,35,0,0,364512,8.05,,S +616,1,2,"Herman, Miss. Alice",female,24,1,2,220845,65,,S +617,0,3,"Danbom, Mr. Ernst Gilbert",male,34,1,1,347080,14.4,,S +618,0,3,"Lobb, Mrs. William Arthur (Cordelia K Stanlick)",female,26,1,0,A/5. 3336,16.1,,S +619,1,2,"Becker, Miss. Marion Louise",female,4,2,1,230136,39,F4,S +620,0,2,"Gavey, Mr. Lawrence",male,26,0,0,31028,10.5,,S +621,0,3,"Yasbeck, Mr. Antoni",male,27,1,0,2659,14.4542,,C +622,1,1,"Kimball, Mr. Edwin Nelson Jr",male,42,1,0,11753,52.5542,D19,S +623,1,3,"Nakid, Mr. Sahid",male,20,1,1,2653,15.7417,,C +624,0,3,"Hansen, Mr. Henry Damsgaard",male,21,0,0,350029,7.8542,,S +625,0,3,"Bowen, Mr. David John ""Dai""",male,21,0,0,54636,16.1,,S +626,0,1,"Sutton, Mr. Frederick",male,61,0,0,36963,32.3208,D50,S +627,0,2,"Kirkland, Rev. Charles Leonard",male,57,0,0,219533,12.35,,Q +628,1,1,"Longley, Miss. Gretchen Fiske",female,21,0,0,13502,77.9583,D9,S +629,0,3,"Bostandyeff, Mr. Guentcho",male,26,0,0,349224,7.8958,,S +630,0,3,"O'Connell, Mr. Patrick D",male,,0,0,334912,7.7333,,Q +631,1,1,"Barkworth, Mr. Algernon Henry Wilson",male,80,0,0,27042,30,A23,S +632,0,3,"Lundahl, Mr. Johan Svensson",male,51,0,0,347743,7.0542,,S +633,1,1,"Stahelin-Maeglin, Dr. Max",male,32,0,0,13214,30.5,B50,C +634,0,1,"Parr, Mr. William Henry Marsh",male,,0,0,112052,0,,S +635,0,3,"Skoog, Miss. Mabel",female,9,3,2,347088,27.9,,S +636,1,2,"Davis, Miss. Mary",female,28,0,0,237668,13,,S +637,0,3,"Leinonen, Mr. Antti Gustaf",male,32,0,0,STON/O 2. 3101292,7.925,,S +638,0,2,"Collyer, Mr. Harvey",male,31,1,1,C.A. 31921,26.25,,S +639,0,3,"Panula, Mrs. Juha (Maria Emilia Ojala)",female,41,0,5,3101295,39.6875,,S +640,0,3,"Thorneycroft, Mr. Percival",male,,1,0,376564,16.1,,S +641,0,3,"Jensen, Mr. Hans Peder",male,20,0,0,350050,7.8542,,S +642,1,1,"Sagesser, Mlle. Emma",female,24,0,0,PC 17477,69.3,B35,C +643,0,3,"Skoog, Miss. Margit Elizabeth",female,2,3,2,347088,27.9,,S +644,1,3,"Foo, Mr. Choong",male,,0,0,1601,56.4958,,S +645,1,3,"Baclini, Miss. Eugenie",female,0.75,2,1,2666,19.2583,,C +646,1,1,"Harper, Mr. Henry Sleeper",male,48,1,0,PC 17572,76.7292,D33,C +647,0,3,"Cor, Mr. Liudevit",male,19,0,0,349231,7.8958,,S +648,1,1,"Simonius-Blumer, Col. Oberst Alfons",male,56,0,0,13213,35.5,A26,C +649,0,3,"Willey, Mr. Edward",male,,0,0,S.O./P.P. 751,7.55,,S +650,1,3,"Stanley, Miss. Amy Zillah Elsie",female,23,0,0,CA. 2314,7.55,,S +651,0,3,"Mitkoff, Mr. Mito",male,,0,0,349221,7.8958,,S +652,1,2,"Doling, Miss. Elsie",female,18,0,1,231919,23,,S +653,0,3,"Kalvik, Mr. Johannes Halvorsen",male,21,0,0,8475,8.4333,,S +654,1,3,"O'Leary, Miss. Hanora ""Norah""",female,,0,0,330919,7.8292,,Q +655,0,3,"Hegarty, Miss. Hanora ""Nora""",female,18,0,0,365226,6.75,,Q +656,0,2,"Hickman, Mr. Leonard Mark",male,24,2,0,S.O.C. 14879,73.5,,S +657,0,3,"Radeff, Mr. Alexander",male,,0,0,349223,7.8958,,S +658,0,3,"Bourke, Mrs. John (Catherine)",female,32,1,1,364849,15.5,,Q +659,0,2,"Eitemiller, Mr. George Floyd",male,23,0,0,29751,13,,S +660,0,1,"Newell, Mr. Arthur Webster",male,58,0,2,35273,113.275,D48,C +661,1,1,"Frauenthal, Dr. Henry William",male,50,2,0,PC 17611,133.65,,S +662,0,3,"Badt, Mr. Mohamed",male,40,0,0,2623,7.225,,C +663,0,1,"Colley, Mr. Edward Pomeroy",male,47,0,0,5727,25.5875,E58,S +664,0,3,"Coleff, Mr. Peju",male,36,0,0,349210,7.4958,,S +665,1,3,"Lindqvist, Mr. Eino William",male,20,1,0,STON/O 2. 3101285,7.925,,S +666,0,2,"Hickman, Mr. Lewis",male,32,2,0,S.O.C. 14879,73.5,,S +667,0,2,"Butler, Mr. Reginald Fenton",male,25,0,0,234686,13,,S +668,0,3,"Rommetvedt, Mr. Knud Paust",male,,0,0,312993,7.775,,S +669,0,3,"Cook, Mr. Jacob",male,43,0,0,A/5 3536,8.05,,S +670,1,1,"Taylor, Mrs. Elmer Zebley (Juliet Cummins Wright)",female,,1,0,19996,52,C126,S +671,1,2,"Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)",female,40,1,1,29750,39,,S +672,0,1,"Davidson, Mr. Thornton",male,31,1,0,F.C. 12750,52,B71,S +673,0,2,"Mitchell, Mr. Henry Michael",male,70,0,0,C.A. 24580,10.5,,S +674,1,2,"Wilhelms, Mr. Charles",male,31,0,0,244270,13,,S +675,0,2,"Watson, Mr. Ennis Hastings",male,,0,0,239856,0,,S +676,0,3,"Edvardsson, Mr. Gustaf Hjalmar",male,18,0,0,349912,7.775,,S +677,0,3,"Sawyer, Mr. Frederick Charles",male,24.5,0,0,342826,8.05,,S +678,1,3,"Turja, Miss. Anna Sofia",female,18,0,0,4138,9.8417,,S +679,0,3,"Goodwin, Mrs. Frederick (Augusta Tyler)",female,43,1,6,CA 2144,46.9,,S +680,1,1,"Cardeza, Mr. Thomas Drake Martinez",male,36,0,1,PC 17755,512.3292,B51 B53 B55,C +681,0,3,"Peters, Miss. Katie",female,,0,0,330935,8.1375,,Q +682,1,1,"Hassab, Mr. Hammad",male,27,0,0,PC 17572,76.7292,D49,C +683,0,3,"Olsvigen, Mr. Thor Anderson",male,20,0,0,6563,9.225,,S +684,0,3,"Goodwin, Mr. Charles Edward",male,14,5,2,CA 2144,46.9,,S +685,0,2,"Brown, Mr. Thomas William Solomon",male,60,1,1,29750,39,,S +686,0,2,"Laroche, Mr. Joseph Philippe Lemercier",male,25,1,2,SC/Paris 2123,41.5792,,C +687,0,3,"Panula, Mr. Jaako Arnold",male,14,4,1,3101295,39.6875,,S +688,0,3,"Dakic, Mr. Branko",male,19,0,0,349228,10.1708,,S +689,0,3,"Fischer, Mr. Eberhard Thelander",male,18,0,0,350036,7.7958,,S +690,1,1,"Madill, Miss. Georgette Alexandra",female,15,0,1,24160,211.3375,B5,S +691,1,1,"Dick, Mr. Albert Adrian",male,31,1,0,17474,57,B20,S +692,1,3,"Karun, Miss. Manca",female,4,0,1,349256,13.4167,,C +693,1,3,"Lam, Mr. Ali",male,,0,0,1601,56.4958,,S +694,0,3,"Saad, Mr. Khalil",male,25,0,0,2672,7.225,,C +695,0,1,"Weir, Col. John",male,60,0,0,113800,26.55,,S +696,0,2,"Chapman, Mr. Charles Henry",male,52,0,0,248731,13.5,,S +697,0,3,"Kelly, Mr. James",male,44,0,0,363592,8.05,,S +698,1,3,"Mullens, Miss. Katherine ""Katie""",female,,0,0,35852,7.7333,,Q +699,0,1,"Thayer, Mr. John Borland",male,49,1,1,17421,110.8833,C68,C +700,0,3,"Humblen, Mr. Adolf Mathias Nicolai Olsen",male,42,0,0,348121,7.65,F G63,S +701,1,1,"Astor, Mrs. John Jacob (Madeleine Talmadge Force)",female,18,1,0,PC 17757,227.525,C62 C64,C +702,1,1,"Silverthorne, Mr. Spencer Victor",male,35,0,0,PC 17475,26.2875,E24,S +703,0,3,"Barbara, Miss. Saiide",female,18,0,1,2691,14.4542,,C +704,0,3,"Gallagher, Mr. Martin",male,25,0,0,36864,7.7417,,Q +705,0,3,"Hansen, Mr. Henrik Juul",male,26,1,0,350025,7.8542,,S +706,0,2,"Morley, Mr. Henry Samuel (""Mr Henry Marshall"")",male,39,0,0,250655,26,,S +707,1,2,"Kelly, Mrs. Florence ""Fannie""",female,45,0,0,223596,13.5,,S +708,1,1,"Calderhead, Mr. Edward Pennington",male,42,0,0,PC 17476,26.2875,E24,S +709,1,1,"Cleaver, Miss. Alice",female,22,0,0,113781,151.55,,S +710,1,3,"Moubarek, Master. Halim Gonios (""William George"")",male,,1,1,2661,15.2458,,C +711,1,1,"Mayne, Mlle. Berthe Antonine (""Mrs de Villiers"")",female,24,0,0,PC 17482,49.5042,C90,C +712,0,1,"Klaber, Mr. Herman",male,,0,0,113028,26.55,C124,S +713,1,1,"Taylor, Mr. Elmer Zebley",male,48,1,0,19996,52,C126,S +714,0,3,"Larsson, Mr. August Viktor",male,29,0,0,7545,9.4833,,S +715,0,2,"Greenberg, Mr. Samuel",male,52,0,0,250647,13,,S +716,0,3,"Soholt, Mr. Peter Andreas Lauritz Andersen",male,19,0,0,348124,7.65,F G73,S +717,1,1,"Endres, Miss. Caroline Louise",female,38,0,0,PC 17757,227.525,C45,C +718,1,2,"Troutt, Miss. Edwina Celia ""Winnie""",female,27,0,0,34218,10.5,E101,S +719,0,3,"McEvoy, Mr. Michael",male,,0,0,36568,15.5,,Q +720,0,3,"Johnson, Mr. Malkolm Joackim",male,33,0,0,347062,7.775,,S +721,1,2,"Harper, Miss. Annie Jessie ""Nina""",female,6,0,1,248727,33,,S +722,0,3,"Jensen, Mr. Svend Lauritz",male,17,1,0,350048,7.0542,,S +723,0,2,"Gillespie, Mr. William Henry",male,34,0,0,12233,13,,S +724,0,2,"Hodges, Mr. Henry Price",male,50,0,0,250643,13,,S +725,1,1,"Chambers, Mr. Norman Campbell",male,27,1,0,113806,53.1,E8,S +726,0,3,"Oreskovic, Mr. Luka",male,20,0,0,315094,8.6625,,S +727,1,2,"Renouf, Mrs. Peter Henry (Lillian Jefferys)",female,30,3,0,31027,21,,S +728,1,3,"Mannion, Miss. Margareth",female,,0,0,36866,7.7375,,Q +729,0,2,"Bryhl, Mr. Kurt Arnold Gottfrid",male,25,1,0,236853,26,,S +730,0,3,"Ilmakangas, Miss. Pieta Sofia",female,25,1,0,STON/O2. 3101271,7.925,,S +731,1,1,"Allen, Miss. Elisabeth Walton",female,29,0,0,24160,211.3375,B5,S +732,0,3,"Hassan, Mr. Houssein G N",male,11,0,0,2699,18.7875,,C +733,0,2,"Knight, Mr. Robert J",male,,0,0,239855,0,,S +734,0,2,"Berriman, Mr. William John",male,23,0,0,28425,13,,S +735,0,2,"Troupiansky, Mr. Moses Aaron",male,23,0,0,233639,13,,S +736,0,3,"Williams, Mr. Leslie",male,28.5,0,0,54636,16.1,,S +737,0,3,"Ford, Mrs. Edward (Margaret Ann Watson)",female,48,1,3,W./C. 6608,34.375,,S +738,1,1,"Lesurer, Mr. Gustave J",male,35,0,0,PC 17755,512.3292,B101,C +739,0,3,"Ivanoff, Mr. Kanio",male,,0,0,349201,7.8958,,S +740,0,3,"Nankoff, Mr. Minko",male,,0,0,349218,7.8958,,S +741,1,1,"Hawksford, Mr. Walter James",male,,0,0,16988,30,D45,S +742,0,1,"Cavendish, Mr. Tyrell William",male,36,1,0,19877,78.85,C46,S +743,1,1,"Ryerson, Miss. Susan Parker ""Suzette""",female,21,2,2,PC 17608,262.375,B57 B59 B63 B66,C +744,0,3,"McNamee, Mr. Neal",male,24,1,0,376566,16.1,,S +745,1,3,"Stranden, Mr. Juho",male,31,0,0,STON/O 2. 3101288,7.925,,S +746,0,1,"Crosby, Capt. Edward Gifford",male,70,1,1,WE/P 5735,71,B22,S +747,0,3,"Abbott, Mr. Rossmore Edward",male,16,1,1,C.A. 2673,20.25,,S +748,1,2,"Sinkkonen, Miss. Anna",female,30,0,0,250648,13,,S +749,0,1,"Marvin, Mr. Daniel Warner",male,19,1,0,113773,53.1,D30,S +750,0,3,"Connaghton, Mr. Michael",male,31,0,0,335097,7.75,,Q +751,1,2,"Wells, Miss. Joan",female,4,1,1,29103,23,,S +752,1,3,"Moor, Master. Meier",male,6,0,1,392096,12.475,E121,S +753,0,3,"Vande Velde, Mr. Johannes Joseph",male,33,0,0,345780,9.5,,S +754,0,3,"Jonkoff, Mr. Lalio",male,23,0,0,349204,7.8958,,S +755,1,2,"Herman, Mrs. Samuel (Jane Laver)",female,48,1,2,220845,65,,S +756,1,2,"Hamalainen, Master. Viljo",male,0.67,1,1,250649,14.5,,S +757,0,3,"Carlsson, Mr. August Sigfrid",male,28,0,0,350042,7.7958,,S +758,0,2,"Bailey, Mr. Percy Andrew",male,18,0,0,29108,11.5,,S +759,0,3,"Theobald, Mr. Thomas Leonard",male,34,0,0,363294,8.05,,S +760,1,1,"Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)",female,33,0,0,110152,86.5,B77,S +761,0,3,"Garfirth, Mr. John",male,,0,0,358585,14.5,,S +762,0,3,"Nirva, Mr. Iisakki Antino Aijo",male,41,0,0,SOTON/O2 3101272,7.125,,S +763,1,3,"Barah, Mr. Hanna Assi",male,20,0,0,2663,7.2292,,C +764,1,1,"Carter, Mrs. William Ernest (Lucile Polk)",female,36,1,2,113760,120,B96 B98,S +765,0,3,"Eklund, Mr. Hans Linus",male,16,0,0,347074,7.775,,S +766,1,1,"Hogeboom, Mrs. John C (Anna Andrews)",female,51,1,0,13502,77.9583,D11,S +767,0,1,"Brewe, Dr. Arthur Jackson",male,,0,0,112379,39.6,,C +768,0,3,"Mangan, Miss. Mary",female,30.5,0,0,364850,7.75,,Q +769,0,3,"Moran, Mr. Daniel J",male,,1,0,371110,24.15,,Q +770,0,3,"Gronnestad, Mr. Daniel Danielsen",male,32,0,0,8471,8.3625,,S +771,0,3,"Lievens, Mr. Rene Aime",male,24,0,0,345781,9.5,,S +772,0,3,"Jensen, Mr. Niels Peder",male,48,0,0,350047,7.8542,,S +773,0,2,"Mack, Mrs. (Mary)",female,57,0,0,S.O./P.P. 3,10.5,E77,S +774,0,3,"Elias, Mr. Dibo",male,,0,0,2674,7.225,,C +775,1,2,"Hocking, Mrs. Elizabeth (Eliza Needs)",female,54,1,3,29105,23,,S +776,0,3,"Myhrman, Mr. Pehr Fabian Oliver Malkolm",male,18,0,0,347078,7.75,,S +777,0,3,"Tobin, Mr. Roger",male,,0,0,383121,7.75,F38,Q +778,1,3,"Emanuel, Miss. Virginia Ethel",female,5,0,0,364516,12.475,,S +779,0,3,"Kilgannon, Mr. Thomas J",male,,0,0,36865,7.7375,,Q +780,1,1,"Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)",female,43,0,1,24160,211.3375,B3,S +781,1,3,"Ayoub, Miss. Banoura",female,13,0,0,2687,7.2292,,C +782,1,1,"Dick, Mrs. Albert Adrian (Vera Gillespie)",female,17,1,0,17474,57,B20,S +783,0,1,"Long, Mr. Milton Clyde",male,29,0,0,113501,30,D6,S +784,0,3,"Johnston, Mr. Andrew G",male,,1,2,W./C. 6607,23.45,,S +785,0,3,"Ali, Mr. William",male,25,0,0,SOTON/O.Q. 3101312,7.05,,S +786,0,3,"Harmer, Mr. Abraham (David Lishin)",male,25,0,0,374887,7.25,,S +787,1,3,"Sjoblom, Miss. Anna Sofia",female,18,0,0,3101265,7.4958,,S +788,0,3,"Rice, Master. George Hugh",male,8,4,1,382652,29.125,,Q +789,1,3,"Dean, Master. Bertram Vere",male,1,1,2,C.A. 2315,20.575,,S +790,0,1,"Guggenheim, Mr. Benjamin",male,46,0,0,PC 17593,79.2,B82 B84,C +791,0,3,"Keane, Mr. Andrew ""Andy""",male,,0,0,12460,7.75,,Q +792,0,2,"Gaskell, Mr. Alfred",male,16,0,0,239865,26,,S +793,0,3,"Sage, Miss. Stella Anna",female,,8,2,CA. 2343,69.55,,S +794,0,1,"Hoyt, Mr. William Fisher",male,,0,0,PC 17600,30.6958,,C +795,0,3,"Dantcheff, Mr. Ristiu",male,25,0,0,349203,7.8958,,S +796,0,2,"Otter, Mr. Richard",male,39,0,0,28213,13,,S +797,1,1,"Leader, Dr. Alice (Farnham)",female,49,0,0,17465,25.9292,D17,S +798,1,3,"Osman, Mrs. Mara",female,31,0,0,349244,8.6833,,S +799,0,3,"Ibrahim Shawah, Mr. Yousseff",male,30,0,0,2685,7.2292,,C +800,0,3,"Van Impe, Mrs. Jean Baptiste (Rosalie Paula Govaert)",female,30,1,1,345773,24.15,,S +801,0,2,"Ponesell, Mr. Martin",male,34,0,0,250647,13,,S +802,1,2,"Collyer, Mrs. Harvey (Charlotte Annie Tate)",female,31,1,1,C.A. 31921,26.25,,S +803,1,1,"Carter, Master. William Thornton II",male,11,1,2,113760,120,B96 B98,S +804,1,3,"Thomas, Master. Assad Alexander",male,0.42,0,1,2625,8.5167,,C +805,1,3,"Hedman, Mr. Oskar Arvid",male,27,0,0,347089,6.975,,S +806,0,3,"Johansson, Mr. Karl Johan",male,31,0,0,347063,7.775,,S +807,0,1,"Andrews, Mr. Thomas Jr",male,39,0,0,112050,0,A36,S +808,0,3,"Pettersson, Miss. Ellen Natalia",female,18,0,0,347087,7.775,,S +809,0,2,"Meyer, Mr. August",male,39,0,0,248723,13,,S +810,1,1,"Chambers, Mrs. Norman Campbell (Bertha Griggs)",female,33,1,0,113806,53.1,E8,S +811,0,3,"Alexander, Mr. William",male,26,0,0,3474,7.8875,,S +812,0,3,"Lester, Mr. James",male,39,0,0,A/4 48871,24.15,,S +813,0,2,"Slemen, Mr. Richard James",male,35,0,0,28206,10.5,,S +814,0,3,"Andersson, Miss. Ebba Iris Alfrida",female,6,4,2,347082,31.275,,S +815,0,3,"Tomlin, Mr. Ernest Portage",male,30.5,0,0,364499,8.05,,S +816,0,1,"Fry, Mr. Richard",male,,0,0,112058,0,B102,S +817,0,3,"Heininen, Miss. Wendla Maria",female,23,0,0,STON/O2. 3101290,7.925,,S +818,0,2,"Mallet, Mr. Albert",male,31,1,1,S.C./PARIS 2079,37.0042,,C +819,0,3,"Holm, Mr. John Fredrik Alexander",male,43,0,0,C 7075,6.45,,S +820,0,3,"Skoog, Master. Karl Thorsten",male,10,3,2,347088,27.9,,S +821,1,1,"Hays, Mrs. Charles Melville (Clara Jennings Gregg)",female,52,1,1,12749,93.5,B69,S +822,1,3,"Lulic, Mr. Nikola",male,27,0,0,315098,8.6625,,S +823,0,1,"Reuchlin, Jonkheer. John George",male,38,0,0,19972,0,,S +824,1,3,"Moor, Mrs. (Beila)",female,27,0,1,392096,12.475,E121,S +825,0,3,"Panula, Master. Urho Abraham",male,2,4,1,3101295,39.6875,,S +826,0,3,"Flynn, Mr. John",male,,0,0,368323,6.95,,Q +827,0,3,"Lam, Mr. Len",male,,0,0,1601,56.4958,,S +828,1,2,"Mallet, Master. Andre",male,1,0,2,S.C./PARIS 2079,37.0042,,C +829,1,3,"McCormack, Mr. Thomas Joseph",male,,0,0,367228,7.75,,Q +830,1,1,"Stone, Mrs. George Nelson (Martha Evelyn)",female,62,0,0,113572,80,B28, +831,1,3,"Yasbeck, Mrs. Antoni (Selini Alexander)",female,15,1,0,2659,14.4542,,C +832,1,2,"Richards, Master. George Sibley",male,0.83,1,1,29106,18.75,,S +833,0,3,"Saad, Mr. Amin",male,,0,0,2671,7.2292,,C +834,0,3,"Augustsson, Mr. Albert",male,23,0,0,347468,7.8542,,S +835,0,3,"Allum, Mr. Owen George",male,18,0,0,2223,8.3,,S +836,1,1,"Compton, Miss. Sara Rebecca",female,39,1,1,PC 17756,83.1583,E49,C +837,0,3,"Pasic, Mr. Jakob",male,21,0,0,315097,8.6625,,S +838,0,3,"Sirota, Mr. Maurice",male,,0,0,392092,8.05,,S +839,1,3,"Chip, Mr. Chang",male,32,0,0,1601,56.4958,,S +840,1,1,"Marechal, Mr. Pierre",male,,0,0,11774,29.7,C47,C +841,0,3,"Alhomaki, Mr. Ilmari Rudolf",male,20,0,0,SOTON/O2 3101287,7.925,,S +842,0,2,"Mudd, Mr. Thomas Charles",male,16,0,0,S.O./P.P. 3,10.5,,S +843,1,1,"Serepeca, Miss. Augusta",female,30,0,0,113798,31,,C +844,0,3,"Lemberopolous, Mr. Peter L",male,34.5,0,0,2683,6.4375,,C +845,0,3,"Culumovic, Mr. Jeso",male,17,0,0,315090,8.6625,,S +846,0,3,"Abbing, Mr. Anthony",male,42,0,0,C.A. 5547,7.55,,S +847,0,3,"Sage, Mr. Douglas Bullen",male,,8,2,CA. 2343,69.55,,S +848,0,3,"Markoff, Mr. Marin",male,35,0,0,349213,7.8958,,C +849,0,2,"Harper, Rev. John",male,28,0,1,248727,33,,S +850,1,1,"Goldenberg, Mrs. Samuel L (Edwiga Grabowska)",female,,1,0,17453,89.1042,C92,C +851,0,3,"Andersson, Master. Sigvard Harald Elias",male,4,4,2,347082,31.275,,S +852,0,3,"Svensson, Mr. Johan",male,74,0,0,347060,7.775,,S +853,0,3,"Boulos, Miss. Nourelain",female,9,1,1,2678,15.2458,,C +854,1,1,"Lines, Miss. Mary Conover",female,16,0,1,PC 17592,39.4,D28,S +855,0,2,"Carter, Mrs. Ernest Courtenay (Lilian Hughes)",female,44,1,0,244252,26,,S +856,1,3,"Aks, Mrs. Sam (Leah Rosen)",female,18,0,1,392091,9.35,,S +857,1,1,"Wick, Mrs. George Dennick (Mary Hitchcock)",female,45,1,1,36928,164.8667,,S +858,1,1,"Daly, Mr. Peter Denis ",male,51,0,0,113055,26.55,E17,S +859,1,3,"Baclini, Mrs. Solomon (Latifa Qurban)",female,24,0,3,2666,19.2583,,C +860,0,3,"Razi, Mr. Raihed",male,,0,0,2629,7.2292,,C +861,0,3,"Hansen, Mr. Claus Peter",male,41,2,0,350026,14.1083,,S +862,0,2,"Giles, Mr. Frederick Edward",male,21,1,0,28134,11.5,,S +863,1,1,"Swift, Mrs. Frederick Joel (Margaret Welles Barron)",female,48,0,0,17466,25.9292,D17,S +864,0,3,"Sage, Miss. Dorothy Edith ""Dolly""",female,,8,2,CA. 2343,69.55,,S +865,0,2,"Gill, Mr. John William",male,24,0,0,233866,13,,S +866,1,2,"Bystrom, Mrs. (Karolina)",female,42,0,0,236852,13,,S +867,1,2,"Duran y More, Miss. Asuncion",female,27,1,0,SC/PARIS 2149,13.8583,,C +868,0,1,"Roebling, Mr. Washington Augustus II",male,31,0,0,PC 17590,50.4958,A24,S +869,0,3,"van Melkebeke, Mr. Philemon",male,,0,0,345777,9.5,,S +870,1,3,"Johnson, Master. Harold Theodor",male,4,1,1,347742,11.1333,,S +871,0,3,"Balkic, Mr. Cerin",male,26,0,0,349248,7.8958,,S +872,1,1,"Beckwith, Mrs. Richard Leonard (Sallie Monypeny)",female,47,1,1,11751,52.5542,D35,S +873,0,1,"Carlsson, Mr. Frans Olof",male,33,0,0,695,5,B51 B53 B55,S +874,0,3,"Vander Cruyssen, Mr. Victor",male,47,0,0,345765,9,,S +875,1,2,"Abelson, Mrs. Samuel (Hannah Wizosky)",female,28,1,0,P/PP 3381,24,,C +876,1,3,"Najib, Miss. Adele Kiamie ""Jane""",female,15,0,0,2667,7.225,,C +877,0,3,"Gustafsson, Mr. Alfred Ossian",male,20,0,0,7534,9.8458,,S +878,0,3,"Petroff, Mr. Nedelio",male,19,0,0,349212,7.8958,,S +879,0,3,"Laleff, Mr. Kristo",male,,0,0,349217,7.8958,,S +880,1,1,"Potter, Mrs. Thomas Jr (Lily Alexenia Wilson)",female,56,0,1,11767,83.1583,C50,C +881,1,2,"Shelley, Mrs. William (Imanita Parrish Hall)",female,25,0,1,230433,26,,S +882,0,3,"Markun, Mr. Johann",male,33,0,0,349257,7.8958,,S +883,0,3,"Dahlberg, Miss. Gerda Ulrika",female,22,0,0,7552,10.5167,,S +884,0,2,"Banfield, Mr. Frederick James",male,28,0,0,C.A./SOTON 34068,10.5,,S +885,0,3,"Sutehall, Mr. Henry Jr",male,25,0,0,SOTON/OQ 392076,7.05,,S +886,0,3,"Rice, Mrs. William (Margaret Norton)",female,39,0,5,382652,29.125,,Q +887,0,2,"Montvila, Rev. Juozas",male,27,0,0,211536,13,,S +888,1,1,"Graham, Miss. Margaret Edith",female,19,0,0,112053,30,B42,S +889,0,3,"Johnston, Miss. Catherine Helen ""Carrie""",female,,1,2,W./C. 6607,23.45,,S +890,1,1,"Behr, Mr. Karl Howell",male,26,0,0,111369,30,C148,C +891,0,3,"Dooley, Mr. Patrick",male,32,0,0,370376,7.75,,Q