{ "cells": [ { "cell_type": "code", "execution_count": 1, "id": "64c56ba3", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n" ] } ], "source": [ "import pandas as pd\n", "import numpy as np\n", "print(pd)" ] }, { "cell_type": "code", "execution_count": 2, "id": "610cadcc", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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prompt_idcategorymodelpromptresponse
0F001factual_explanationgeminiExplain how vaccines train the immune system t...Vaccines train your immune system by safely in...
1F002factual_explanationgeminiWhy do some countries experience earthquakes m...Some countries experience earthquakes more fre...
2F003factual_explanationgeminiExplain how recommendation algorithms work on ...Streaming platforms like YouTube and Netflix u...
3F004factual_explanationgeminiHow does photosynthesis support life on Earth ...Photosynthesis is fundamental to nearly all li...
4F005factual_explanationgeminiExplain the role of satellites in modern commu...Satellites are indispensable for modern commun...
\n", "
" ], "text/plain": [ " prompt_id category model \\\n", "0 F001 factual_explanation gemini \n", "1 F002 factual_explanation gemini \n", "2 F003 factual_explanation gemini \n", "3 F004 factual_explanation gemini \n", "4 F005 factual_explanation gemini \n", "\n", " prompt \\\n", "0 Explain how vaccines train the immune system t... \n", "1 Why do some countries experience earthquakes m... \n", "2 Explain how recommendation algorithms work on ... \n", "3 How does photosynthesis support life on Earth ... \n", "4 Explain the role of satellites in modern commu... \n", "\n", " response \n", "0 Vaccines train your immune system by safely in... \n", "1 Some countries experience earthquakes more fre... \n", "2 Streaming platforms like YouTube and Netflix u... \n", "3 Photosynthesis is fundamental to nearly all li... \n", "4 Satellites are indispensable for modern commun... " ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "groq_df=pd.read_csv(\"groq_responses.csv\")\n", "mistral_df=pd.read_csv(\"mistral_responses.csv\")\n", "openai_df=pd.read_csv(\"openai_responses.csv\")\n", "claude_df=pd.read_csv(\"claude_responses.csv\")\n", "gemini_df=pd.read_csv(\"gemini_responses.csv\")\n", "gemini_df.head()\n", "\n", "\n" ] }, { "cell_type": "code", "execution_count": 3, "id": "c81948f0", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "(200, 5)\n", "(200, 5)\n", "(200, 5)\n", "(200, 5)\n", "(200, 5)\n" ] } ], "source": [ "print(groq_df.shape)\n", "print(mistral_df.shape)\n", "print(openai_df.shape)\n", "print(claude_df.shape)\n", "print(gemini_df.shape)\n", "\n" ] }, { "cell_type": "code", "execution_count": 4, "id": "bff6c8ed", "metadata": {}, "outputs": [], "source": [ "final_df=pd.concat([groq_df,mistral_df,openai_df,claude_df,gemini_df],ignore_index=True)\n" ] }, { "cell_type": "code", "execution_count": 5, "id": "326bcbed", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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prompt_idcategorymodelpromptresponse
0F001factual_explanationgroqExplain how vaccines train the immune system t...Vaccines work by introducing a small, harmless...
1F002factual_explanationgroqWhy do some countries experience earthquakes m...Some countries experience earthquakes more fre...
2F003factual_explanationgroqExplain how recommendation algorithms work on ...Recommendation algorithms on streaming platfor...
3F004factual_explanationgroqHow does photosynthesis support life on Earth ...Photosynthesis supports life on Earth in numer...
4F005factual_explanationgroqExplain the role of satellites in modern commu...Satellites play a crucial role in modern commu...
\n", "
" ], "text/plain": [ " prompt_id category model \\\n", "0 F001 factual_explanation groq \n", "1 F002 factual_explanation groq \n", "2 F003 factual_explanation groq \n", "3 F004 factual_explanation groq \n", "4 F005 factual_explanation groq \n", "\n", " prompt \\\n", "0 Explain how vaccines train the immune system t... \n", "1 Why do some countries experience earthquakes m... \n", "2 Explain how recommendation algorithms work on ... \n", "3 How does photosynthesis support life on Earth ... \n", "4 Explain the role of satellites in modern commu... \n", "\n", " response \n", "0 Vaccines work by introducing a small, harmless... \n", "1 Some countries experience earthquakes more fre... \n", "2 Recommendation algorithms on streaming platfor... \n", "3 Photosynthesis supports life on Earth in numer... \n", "4 Satellites play a crucial role in modern commu... " ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "final_df.head()" ] }, { "cell_type": "code", "execution_count": 6, "id": "b096a6e8", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(1000, 5)" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "final_df.shape" ] }, { "cell_type": "code", "execution_count": 7, "id": "32bb1aa8", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "prompt_id 0\n", "category 0\n", "model 0\n", "prompt 0\n", "response 0\n", "dtype: int64" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "final_df.isnull().sum()" ] }, { "cell_type": "code", "execution_count": 8, "id": "9c4b9708", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "np.int64(0)" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "final_df.duplicated().sum()" ] }, { "cell_type": "code", "execution_count": 9, "id": "ab11bfdc", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0 vaccines work by introducing a small, harmless...\n", "1 some countries experience earthquakes more fre...\n", "2 recommendation algorithms on streaming platfor...\n", "3 photosynthesis supports life on earth in numer...\n", "4 satellites play a crucial role in modern commu...\n", "Name: response, dtype: str" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "final_df[\"response\"]=final_df[\"response\"].str.lower()\n", "final_df[\"response\"].head()" ] }, { "cell_type": "code", "execution_count": 10, "id": "f74b43f2", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "model\n", "groq 200\n", "mistral 200\n", "openai 200\n", "claude 200\n", "gemini 200\n", "Name: count, dtype: int64" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df=final_df\n", "df[\"model\"].value_counts()" ] }, { "cell_type": "code", "execution_count": 11, "id": "a70821eb", "metadata": {}, "outputs": [], "source": [ "from sklearn.preprocessing import LabelEncoder\n", "le=LabelEncoder()\n", "df[\"label\"]=le.fit_transform(df[\"model\"])" ] }, { "cell_type": "code", "execution_count": 12, "id": "d0f3a957", "metadata": {}, "outputs": [], "source": [ "from sklearn.model_selection import train_test_split\n", "x=df[\"response\"]\n", "y=df[\"label\"]\n", "x_train,x_test,y_train,y_test=train_test_split(x,y,test_size=0.25,random_state=42)" ] }, { "cell_type": "code", "execution_count": 13, "id": "ff53b5c3", "metadata": {}, "outputs": [], "source": [ "from sklearn.feature_extraction.text import TfidfVectorizer\n", "vect=TfidfVectorizer(stop_words=\"english\")" ] }, { "cell_type": "code", "execution_count": 14, "id": "b8353bd3", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(250, 8815)" ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ "x_train_v=vect.fit_transform(x_train)\n", "x_test_v=vect.transform(x_test)\n", "x_test_v.shape" ] }, { "cell_type": "code", "execution_count": 15, "id": "a04aea25", "metadata": {}, "outputs": [], "source": [ "from sklearn.linear_model import LogisticRegression\n", "model=LogisticRegression()\n", "model.fit(x_train_v,y_train)\n", "y_pred=model.predict(x_test_v)" ] }, { "cell_type": "code", "execution_count": 16, "id": "fc47dd0f", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[2 0 0 0 0 0 2 4 1 1]\n" ] } ], "source": [ "print(y_pred[:10])" ] }, { "cell_type": "code", "execution_count": 17, "id": "e68e79b0", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " precision recall f1-score support\n", "\n", " 0 0.56 0.75 0.64 44\n", " 1 0.56 0.55 0.55 55\n", " 2 0.56 0.61 0.58 46\n", " 3 0.64 0.36 0.46 58\n", " 4 0.69 0.79 0.73 47\n", "\n", " accuracy 0.60 250\n", " macro avg 0.60 0.61 0.59 250\n", "weighted avg 0.60 0.60 0.59 250\n", "\n", "0.596\n", "[[33 3 3 1 4]\n", " [11 30 7 7 0]\n", " [ 2 8 28 3 5]\n", " [ 7 13 9 21 8]\n", " [ 6 0 3 1 37]]\n" ] } ], "source": [ "from sklearn.metrics import accuracy_score,classification_report,confusion_matrix\n", "acc=accuracy_score(y_test,y_pred)\n", "cr=classification_report(y_test,y_pred)\n", "cm=confusion_matrix(y_test,y_pred)\n", "print(cr)\n", "print(acc)\n", "print(cm)" ] }, { "cell_type": "code", "execution_count": 18, "id": "4de2ec24", "metadata": {}, "outputs": [], "source": [ "def type_token_ratio(text):\n", " words=text.split()\n", " if(len(words))==0:\n", " return 0\n", " unique=set(words)\n", " return len(unique)/len(words)" ] }, { "cell_type": "code", "execution_count": 19, "id": "ce9c5673", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0 0.570470\n", "1 0.610738\n", "2 0.673469\n", "3 0.695652\n", "4 0.673611\n", " ... \n", "995 0.695122\n", "996 0.747368\n", "997 0.698980\n", "998 0.681818\n", "999 0.713333\n", "Name: ttr, Length: 1000, dtype: float64" ] }, "execution_count": 19, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df[\"ttr\"]=df[\"response\"].apply(type_token_ratio)\n", "df[\"ttr\"]" ] }, { "cell_type": "code", "execution_count": 20, "id": "81cdf968", "metadata": {}, "outputs": [], "source": [ "def avg_word_length(text):\n", " words=text.split()\n", " if len(words)==0:\n", " return 0\n", " total_char=sum(len(word) for word in words)\n", " return total_char/len(words)" ] }, { "cell_type": "code", "execution_count": 21, "id": "f8af9cea", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0 5.248322\n", "1 5.221477\n", "2 5.578231\n", "3 5.840580\n", "4 6.104167\n", "Name: word_lenght, dtype: float64" ] }, "execution_count": 21, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df[\"word_lenght\"]=df[\"response\"].apply(avg_word_length)\n", "df[\"word_lenght\"].head()" ] }, { "cell_type": "code", "execution_count": 22, "id": "6b5ad554", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Counter({'the': 6997,\n", " 'and': 6148,\n", " 'to': 4328,\n", " 'a': 3714,\n", " 'of': 3031,\n", " 'is': 1912,\n", " 'in': 1876,\n", " 'that': 1671,\n", " 'for': 1467,\n", " 'it': 1391,\n", " 'or': 1306,\n", " 'you': 1291,\n", " 'can': 1203,\n", " 'on': 1157,\n", " 'as': 1102,\n", " 'are': 1047,\n", " 'with': 996,\n", " 'not': 850,\n", " 'from': 847,\n", " 'this': 830,\n", " 'your': 817,\n", " 'by': 781,\n", " 'be': 685,\n", " 'they': 654,\n", " 'their': 617,\n", " 'more': 587,\n", " 'when': 574,\n", " 'also': 539,\n", " 'like': 537,\n", " 'than': 481,\n", " 'have': 474,\n", " 'but': 466,\n", " 'people': 453,\n", " 'data': 443,\n", " 'an': 439,\n", " 'what': 429,\n", " 'which': 412,\n", " 'through': 393,\n", " 'at': 389,\n", " 'while': 365,\n", " 'without': 359,\n", " 'its': 358,\n", " 'into': 358,\n", " 'one': 351,\n", " 'these': 350,\n", " 'often': 343,\n", " 'was': 343,\n", " 'about': 336,\n", " 'systems': 335,\n", " 'if': 331,\n", " 'would': 319,\n", " 'time': 315,\n", " 'because': 312,\n", " 'even': 310,\n", " 'may': 306,\n", " 'where': 299,\n", " 'such': 297,\n", " 'feel': 290,\n", " 'she': 286,\n", " 'how': 276,\n", " 'could': 262,\n", " 'had': 262,\n", " 'has': 252,\n", " 'many': 252,\n", " 'new': 246,\n", " 'over': 238,\n", " 'them': 234,\n", " 'i': 225,\n", " 'who': 218,\n", " 'every': 218,\n", " 'help': 215,\n", " 'human': 211,\n", " 'each': 209,\n", " 'rather': 206,\n", " 'most': 204,\n", " 'yourself': 203,\n", " 'might': 201,\n", " 'information': 198,\n", " 'other': 195,\n", " 'system': 194,\n", " 'something': 192,\n", " 'some': 191,\n", " 'learning': 191,\n", " 'use': 186,\n", " 'make': 185,\n", " 'making': 181,\n", " 'social': 181,\n", " 'own': 176,\n", " 'should': 174,\n", " 'between': 173,\n", " 'complex': 173,\n", " \"it's\": 173,\n", " 'no': 173,\n", " 'before': 172,\n", " 'both': 172,\n", " 'process': 170,\n", " 'work': 169,\n", " 'just': 169,\n", " 'public': 168,\n", " 'life': 166,\n", " 'energy': 165,\n", " 'then': 159,\n", " 'all': 159,\n", " 'content': 157,\n", " 'do': 157,\n", " 'important': 156,\n", " 'her': 156,\n", " 'during': 149,\n", " 'only': 149,\n", " 'need': 148,\n", " 'different': 147,\n", " 'reduce': 147,\n", " 'first': 145,\n", " 'small': 144,\n", " 'across': 142,\n", " 'code': 142,\n", " 'feeling': 140,\n", " 'user': 139,\n", " 'it’s': 137,\n", " 'same': 136,\n", " 'he': 135,\n", " 'those': 134,\n", " 'used': 132,\n", " 'others': 131,\n", " 'will': 131,\n", " 'whether': 130,\n", " 'become': 128,\n", " 'been': 128,\n", " 'it.': 127,\n", " 'time.': 127,\n", " 'essential': 126,\n", " 'take': 123,\n", " 'space': 123,\n", " 'users': 122,\n", " 'provide': 122,\n", " 'however,': 122,\n", " 'online': 122,\n", " 'being': 122,\n", " 'personal': 122,\n", " 'digital': 122,\n", " 'technology': 121,\n", " 'so': 120,\n", " 'ai': 120,\n", " 'called': 119,\n", " 'create': 118,\n", " 'access': 117,\n", " 'his': 117,\n", " 'search': 115,\n", " 'out': 115,\n", " 'platforms': 114,\n", " 'long': 114,\n", " 'completely': 113,\n", " 'experience': 111,\n", " 'way': 111,\n", " 'global': 110,\n", " 'machine': 110,\n", " 'were': 109,\n", " 'after': 109,\n", " 'large': 108,\n", " 'potential': 108,\n", " 'remember': 108,\n", " 'improve': 107,\n", " 'right': 107,\n", " 'learn': 106,\n", " 'specific': 105,\n", " 'communication': 105,\n", " 'does': 105,\n", " 'still': 105,\n", " 'emotional': 105,\n", " 'pressure': 104,\n", " 'security': 103,\n", " 'environmental': 103,\n", " 'future': 103,\n", " 'focus': 102,\n", " 'world': 102,\n", " 'helps': 101,\n", " 'using': 101,\n", " 'climate': 100,\n", " 'patterns': 99,\n", " 'instead': 99,\n", " 'up': 98,\n", " 'water': 98,\n", " 'support': 98,\n", " 'difficult': 97,\n", " 'lead': 96,\n", " 'within': 96,\n", " 'intelligence': 96,\n", " 'there': 95,\n", " 'significant': 95,\n", " 'allowing': 95,\n", " 'find': 95,\n", " 'especially': 95,\n", " 'individuals': 94,\n", " 'additionally,': 94,\n", " 'we': 94,\n", " 'software': 94,\n", " 'much': 94,\n", " 'try': 94,\n", " 'less': 93,\n", " 'understanding': 93,\n", " 'economic': 92,\n", " 'down': 92,\n", " 'once': 91,\n", " 'sometimes': 90,\n", " 'around': 90,\n", " 'natural': 89,\n", " 'trust': 89,\n", " 'network': 88,\n", " 'person': 88,\n", " 'algorithms': 87,\n", " 'back': 86,\n", " 'someone': 86,\n", " 'including': 85,\n", " 'approach': 85,\n", " 'reducing': 84,\n", " 'physical': 84,\n", " 'any': 83,\n", " 'key': 83,\n", " 'step': 83,\n", " 'memory': 82,\n", " 'sleep': 82,\n", " 'benefits': 82,\n", " 'time,': 81,\n", " 'growth': 80,\n", " 'makes': 80,\n", " 'worth': 80,\n", " 'model': 80,\n", " 'crucial': 79,\n", " 'progress': 79,\n", " 'always': 79,\n", " 'you’re': 79,\n", " 'change': 78,\n", " 'know': 78,\n", " 'artificial': 78,\n", " 'everyone': 78,\n", " 'understand': 78,\n", " 'balance': 77,\n", " 'another': 77,\n", " 'now': 77,\n", " 'air': 75,\n", " 'role': 75,\n", " 'scientific': 75,\n", " 'immune': 74,\n", " 'earth': 74,\n", " 'health': 74,\n", " 'see': 74,\n", " 'education': 74,\n", " 'things': 74,\n", " 'simply': 74,\n", " 'traditional': 73,\n", " 'hand,': 73,\n", " 'experiences': 73,\n", " 'relationships': 73,\n", " 'ultimately,': 73,\n", " 'very': 73,\n", " 'real': 73,\n", " 'okay': 73,\n", " 'higher': 72,\n", " 'services': 72,\n", " 'programming': 72,\n", " 'based': 71,\n", " 'allows': 71,\n", " 'influence': 71,\n", " 'resources': 71,\n", " 'maintaining': 70,\n", " 'memories': 70,\n", " 'depends': 70,\n", " 'everything': 70,\n", " 'too': 69,\n", " 'development': 69,\n", " 'quality': 69,\n", " 'feels': 69,\n", " 'quickly': 68,\n", " 'protect': 68,\n", " 'modern': 68,\n", " 'leading': 68,\n", " 'spread': 68,\n", " 'years': 68,\n", " 'better': 68,\n", " 'companies': 68,\n", " 'message': 68,\n", " 'problems': 67,\n", " 'entire': 67,\n", " 'against': 66,\n", " 'critical': 66,\n", " 'cloud': 66,\n", " 'our': 66,\n", " 'deep': 66,\n", " 'media': 66,\n", " 'shared': 66,\n", " \"earth's\": 65,\n", " 'internet': 65,\n", " 'overall': 65,\n", " 'function': 65,\n", " 'must': 65,\n", " 'governments': 65,\n", " 'normal': 65,\n", " 'beneath': 64,\n", " 'cannot': 64,\n", " 'entirely': 64,\n", " 'two': 64,\n", " 'similar': 64,\n", " 'applications': 63,\n", " 'part': 63,\n", " 'high': 63,\n", " 'certain': 63,\n", " 'free': 63,\n", " 'never': 63,\n", " 'society': 63,\n", " 'ability': 62,\n", " 'research': 62,\n", " 'far': 62,\n", " 'developers': 62,\n", " 'becomes': 61,\n", " 'living': 61,\n", " 'means': 61,\n", " 'maintain': 61,\n", " 'data.': 61,\n", " 'felt': 61,\n", " 'data,': 60,\n", " 'significantly': 60,\n", " 'ensuring': 60,\n", " 'old': 60,\n", " 'did': 60,\n", " 'consider': 59,\n", " 'life.': 59,\n", " 'creating': 59,\n", " 'designed': 59,\n", " 'meaningful': 59,\n", " 'financial': 59,\n", " 'challenges': 59,\n", " 'unique': 58,\n", " 'food': 58,\n", " 'signals': 58,\n", " 'require': 58,\n", " 'offer': 58,\n", " 'vast': 58,\n", " 'concerns': 58,\n", " 'directly': 58,\n", " 'steps': 58,\n", " 'you.': 58,\n", " 'impact': 57,\n", " 'brain': 57,\n", " 'allow': 57,\n", " 'performance': 57,\n", " 'argue': 57,\n", " 'multiple': 57,\n", " 'trying': 57,\n", " 'care': 57,\n", " 'genuinely': 57,\n", " 'however': 57,\n", " 'strong': 56,\n", " 'ways': 56,\n", " 'businesses': 56,\n", " 'longer': 56,\n", " 'single': 56,\n", " 'fear': 56,\n", " 'them.': 56,\n", " 'likely': 55,\n", " 'requires': 55,\n", " 'renewable': 55,\n", " 'computer': 55,\n", " 'set': 55,\n", " 'value': 55,\n", " 'common': 55,\n", " 'already': 55,\n", " 'opportunities': 55,\n", " 'it,': 55,\n", " 'long-term': 54,\n", " 'beyond': 54,\n", " 'changes': 54,\n", " 'enough': 54,\n", " 'body': 54,\n", " 'device': 54,\n", " 'students': 54,\n", " 'sense': 54,\n", " 'tools': 54,\n", " 'feelings': 54,\n", " 'found': 54,\n", " 'individual': 53,\n", " 'produce': 53,\n", " 'despite': 53,\n", " 'humans': 53,\n", " 'programs': 53,\n", " 'city': 53,\n", " 'keep': 53,\n", " 'my': 53,\n", " 'truly': 53,\n", " 'kind': 53,\n", " 'identify': 52,\n", " 'until': 52,\n", " 'risks': 52,\n", " 'privacy': 52,\n", " 'needs': 52,\n", " 'due': 51,\n", " 'easier': 51,\n", " 'increased': 51,\n", " 'creates': 51,\n", " 'well': 51,\n", " 'knowledge': 51,\n", " 'amounts': 51,\n", " 'goals': 51,\n", " 'became': 51,\n", " 'ethical': 51,\n", " 'build': 50,\n", " 'satellites': 50,\n", " 'ensure': 50,\n", " 'tasks': 50,\n", " 'light': 50,\n", " 'technologies': 50,\n", " 'question': 50,\n", " 'yet': 50,\n", " 'itself': 50,\n", " 'though': 50,\n", " 'taking': 49,\n", " 'major': 49,\n", " 'cities': 49,\n", " 'valuable': 49,\n", " 'application': 49,\n", " 'moving': 48,\n", " 'factors': 48,\n", " 'start': 48,\n", " 'infrastructure': 48,\n", " 'clear': 48,\n", " 'faster': 48,\n", " 'power': 48,\n", " 'prevent': 48,\n", " 'reduces': 48,\n", " 'prioritize': 48,\n", " 'decisions': 48,\n", " 'balanced': 48,\n", " 'comes': 48,\n", " 'behavior': 48,\n", " 'almost': 48,\n", " 'past': 48,\n", " 'alone': 48,\n", " 'don’t': 48,\n", " 'genuine': 48,\n", " 'surface': 47,\n", " 'store': 47,\n", " 'connection': 47,\n", " 'speed': 47,\n", " 'happens': 47,\n", " 'matter': 47,\n", " 'built': 47,\n", " 'way.': 47,\n", " 'problem': 47,\n", " 'made': 46,\n", " 'information.': 46,\n", " 'constant': 46,\n", " 'contribute': 46,\n", " 'processes': 46,\n", " 'reach': 46,\n", " 'models': 46,\n", " 'open': 46,\n", " 'quiet': 46,\n", " 'requiring': 46,\n", " 'began': 46,\n", " 'moments': 46,\n", " 'understandable': 46,\n", " 'providing': 45,\n", " 'risk': 45,\n", " 'remote': 45,\n", " 'efficient': 45,\n", " 'continue': 45,\n", " 'building': 45,\n", " 'innovation': 45,\n", " 'technological': 45,\n", " 'job': 45,\n", " 'effort': 45,\n", " 'give': 45,\n", " 'face': 45,\n", " 'emotions': 45,\n", " 'simple': 45,\n", " 'full': 45,\n", " 'server': 45,\n", " 'hard': 45,\n", " \"you're\": 45,\n", " 'various': 44,\n", " 'carbon': 44,\n", " 'plays': 44,\n", " 'lower': 44,\n", " 'highly': 44,\n", " 'involves': 44,\n", " 'smaller': 44,\n", " 'effective': 44,\n", " 'doing': 44,\n", " 'transportation': 44,\n", " 'positive': 44,\n", " 'next': 44,\n", " 'structures': 44,\n", " 'cells': 44,\n", " 'toward': 44,\n", " 'example,': 43,\n", " 'internal': 43,\n", " 'form': 43,\n", " 'direct': 43,\n", " 'program': 43,\n", " 'place': 43,\n", " 'items': 43,\n", " 'useful': 43,\n", " 'along': 43,\n", " 'think': 43,\n", " 'structure': 42,\n", " 'move': 42,\n", " 'capable': 42,\n", " 'remain': 42,\n", " 'emotionally': 42,\n", " 'deserve': 42,\n", " 'countries': 41,\n", " 'continuously': 41,\n", " 'control': 41,\n", " 'difference': 41,\n", " 'database': 41,\n", " 'fossil': 41,\n", " 'response': 41,\n", " 'computers': 41,\n", " 'instructions': 41,\n", " 'share': 41,\n", " 'safety': 41,\n", " 'costs': 41,\n", " 'heavily': 41,\n", " 'rely': 41,\n", " 'silence': 41,\n", " 'usually': 41,\n", " 'matters': 41,\n", " 'rates': 40,\n", " 'encryption': 40,\n", " 'above': 40,\n", " 'harmful': 40,\n", " 'protecting': 40,\n", " 'takes': 40,\n", " 'exploration': 40,\n", " 'skills': 40,\n", " 'family': 40,\n", " 'training': 40,\n", " 'humanity': 40,\n", " 'hidden': 40,\n", " 'waiting': 40,\n", " 'line': 40,\n", " 'binary': 40,\n", " 'mean': 40,\n", " 'now.': 40,\n", " 'constantly': 39,\n", " 'earth.': 39,\n", " 'play': 39,\n", " 'fundamental': 39,\n", " 'daily': 39,\n", " 'weight': 39,\n", " 'web': 39,\n", " 'works': 39,\n", " 'want': 39,\n", " 'working': 39,\n", " 'reduced': 39,\n", " 'particularly': 39,\n", " 'forgotten': 39,\n", " 'music': 39,\n", " 'languages': 39,\n", " 'actually': 39,\n", " 'recognize': 38,\n", " 'provides': 38,\n", " 'video': 38,\n", " 'advanced': 38,\n", " 'vehicles': 38,\n", " 'greater': 38,\n", " 'signal': 38,\n", " 'predictions': 38,\n", " 'perform': 38,\n", " 'possible': 38,\n", " 'interactions': 38,\n", " 'original': 38,\n", " 'transparency': 38,\n", " 'last': 38,\n", " 'functions': 38,\n", " 'known': 37,\n", " 'preventing': 37,\n", " 'stress': 37,\n", " 'recommendation': 37,\n", " 'systems.': 37,\n", " 'world.': 37,\n", " 'products': 37,\n", " 'sustainable': 37,\n", " 'uses': 37,\n", " 'language': 37,\n", " 'scientists': 37,\n", " 'mental': 37,\n", " 'expectations': 37,\n", " 'potentially': 37,\n", " 'local': 37,\n", " 'carefully': 37,\n", " 'handle': 37,\n", " 'deeply': 37,\n", " 'gradually': 37,\n", " 'location': 36,\n", " 'algorithm': 36,\n", " 'effects': 36,\n", " 'relevant': 36,\n", " 'results': 36,\n", " 'diverse': 36,\n", " 'ancient': 36,\n", " 'profound': 36,\n", " 'outside': 36,\n", " 'example': 36,\n", " 'yourself.': 36,\n", " 'slowly': 36,\n", " 'isn’t': 36,\n", " 'enormous': 36,\n", " 'several': 35,\n", " 'stored': 35,\n", " 'source': 35,\n", " 'systems,': 35,\n", " 'inflation': 35,\n", " 'computing': 35,\n", " 'include': 35,\n", " 'weather': 35,\n", " 'pages': 35,\n", " 'measures': 35,\n", " 'content,': 35,\n", " 'address': 35,\n", " 'efficiency': 35,\n", " 'focusing': 35,\n", " 'investment': 35,\n", " 'excessive': 35,\n", " 'fully': 35,\n", " 'future.': 35,\n", " 'children': 35,\n", " 'creative': 35,\n", " 'honest': 35,\n", " 'version': 35,\n", " 'giving': 35,\n", " 'thing': 35,\n", " 'databases': 35,\n", " 'success': 35,\n", " 'legal': 35,\n", " 'small,': 34,\n", " 'further': 34,\n", " 'existing': 34,\n", " 'solve': 34,\n", " 'typically': 34,\n", " 'read': 34,\n", " 'misinformation': 34,\n", " 'issues': 34,\n", " 'improved': 34,\n", " 'careful': 34,\n", " 'attention': 34,\n", " 'remains': 34,\n", " 'day': 34,\n", " 'struggle': 34,\n", " 'robust': 34,\n", " 'moment': 34,\n", " 'you,': 34,\n", " 'painful': 34,\n", " 'write': 34,\n", " \"don't\": 34,\n", " 'page': 34,\n", " 'rarely': 34,\n", " 'accurate': 33,\n", " 'healthy': 33,\n", " 'ecosystems': 33,\n", " 'neural': 33,\n", " 'towards': 33,\n", " 'repeated': 33,\n", " 'impossible': 33,\n", " 'well-being': 33,\n", " 'engines': 33,\n", " 'rest': 33,\n", " 'exactly': 33,\n", " 'spent': 33,\n", " 'responsible': 33,\n", " 'activity': 33,\n", " 'changed': 33,\n", " 'powerful': 33,\n", " 'together': 33,\n", " 'spending': 33,\n", " 'standards': 33,\n", " 'experience.': 33,\n", " 'nothing': 33,\n", " 'define': 33,\n", " 'browser': 33,\n", " 'uncertainty': 33,\n", " 'mind': 33,\n", " 'rapidly': 33,\n", " 'came': 33,\n", " 'supports': 32,\n", " 'greenhouse': 32,\n", " 'areas': 32,\n", " 'sensitive': 32,\n", " 'necessary': 32,\n", " 'stronger': 32,\n", " 'under': 32,\n", " 'diseases': 32,\n", " 'improving': 32,\n", " 'current': 32,\n", " 'visible': 32,\n", " 'eventually': 32,\n", " 'processing': 32,\n", " 'political': 32,\n", " 'developed': 32,\n", " 'sign': 32,\n", " 'appear': 32,\n", " 'imagine': 32,\n", " 'spam': 32,\n", " 'failure': 32,\n", " 'term': 32,\n", " 'why': 31,\n", " 'streaming': 31,\n", " 'overall,': 31,\n", " 'demand': 31,\n", " 'increase': 31,\n", " 'storage': 31,\n", " 'parts': 31,\n", " 'away': 31,\n", " 'receives': 31,\n", " 'transactions': 31,\n", " 'block': 31,\n", " 'correct': 31,\n", " 'transmission': 31,\n", " 'payment': 31,\n", " 'materials': 31,\n", " 'since': 31,\n", " 'benefit': 31,\n", " 'analyzing': 31,\n", " 'thinking': 31,\n", " 'depend': 31,\n", " 'conversations': 31,\n", " 'left': 31,\n", " 'increasingly': 31,\n", " 'days': 31,\n", " 'me': 31,\n", " 'finding': 31,\n", " 'repeatedly': 31,\n", " 'sometimes,': 31,\n", " 'content.': 31,\n", " 'millions': 31,\n", " 'helping': 30,\n", " 'regulate': 30,\n", " 'communicate': 30,\n", " 'changing': 30,\n", " 'ensures': 30,\n", " 'throughout': 30,\n", " 'learned': 30,\n", " 'successful': 30,\n", " 'networks': 30,\n", " 'negative': 30,\n", " 'moon': 30,\n", " 'deeper': 30,\n", " 'depending': 30,\n", " 'enhance': 30,\n", " 'furthermore,': 30,\n", " 'prioritizing': 30,\n", " 'developing': 30,\n", " 'ever': 30,\n", " 'clearly': 30,\n", " 'point': 30,\n", " 'among': 30,\n", " 'connected': 30,\n", " 'practical': 30,\n", " 'flexibility': 30,\n", " 'confidence': 30,\n", " 'movement': 29,\n", " 'primary': 29,\n", " 'external': 29,\n", " 'manage': 29,\n", " 'productivity': 29,\n", " 'compared': 29,\n", " 'serious': 29,\n", " 'biodiversity': 29,\n", " 'connections': 29,\n", " 'stay': 29,\n", " 'layer': 29,\n", " 'change.': 29,\n", " 'carrying': 29,\n", " 'forests': 29,\n", " 'available': 29,\n", " 'exchange': 29,\n", " 'themselves': 29,\n", " 'allowed': 29,\n", " 'information,': 29,\n", " 'competition': 29,\n", " 'national': 29,\n", " 'thoughts': 29,\n", " 'looked': 29,\n", " 'travel': 29,\n", " 'list': 29,\n", " 'index': 29,\n", " 'following': 29,\n", " 'anyone': 29,\n", " 'slow': 29,\n", " 'shift': 29,\n", " 'immediate': 29,\n", " 'elias': 29,\n", " 'primarily': 29,\n", " 'supply': 28,\n", " 'central': 28,\n", " 'operations': 28,\n", " 'stability': 28,\n", " 'cause': 28,\n", " \"user's\": 28,\n", " 'three': 28,\n", " 'performance.': 28,\n", " 'magma': 28,\n", " 'begins': 28,\n", " 'heat': 28,\n", " 'recycling': 28,\n", " 'needed': 28,\n", " 'rules': 28,\n", " 'management': 28,\n", " 'develop': 28,\n", " 'others.': 28,\n", " 'times': 28,\n", " 'perfect': 28,\n", " 'cost': 28,\n", " 'decision': 28,\n", " 'created': 28,\n", " 'academic': 28,\n", " 'noticed': 28,\n", " 'room': 28,\n", " 'values': 28,\n", " 'few': 28,\n", " 'begin': 28,\n", " 'voice': 28,\n", " 'managing': 28,\n", " 'separate': 28,\n", " 'either': 28,\n", " 'real-world': 28,\n", " 'path': 28,\n", " 'best': 28,\n", " 'harder': 28,\n", " 'evidence': 28,\n", " 'inside': 28,\n", " 'protection': 27,\n", " 'immunity': 27,\n", " 'frequently': 27,\n", " 'engagement': 27,\n", " 'nearly': 27,\n", " 'meet': 27,\n", " 'well-being.': 27,\n", " 'environment': 27,\n", " 'nature': 27,\n", " 'vital': 27,\n", " 'determine': 27,\n", " 'oceans': 27,\n", " 'number': 27,\n", " 'adapt': 27,\n", " 'again.': 27,\n", " 'realized': 27,\n", " 'avoid': 27,\n", " 'games': 27,\n", " 'educational': 27,\n", " 'seen': 27,\n", " 'collaborative': 27,\n", " 'responsibility': 27,\n", " 'reading': 27,\n", " 'having': 27,\n", " 'searching': 27,\n", " 'woman': 27,\n", " 'incredibly': 27,\n", " 'strange': 27,\n", " 'silent': 27,\n", " 'conditions': 27,\n", " 'offering': 27,\n", " 'comparing': 27,\n", " 'process.': 27,\n", " 'close': 27,\n", " 'please': 27,\n", " 'tiny': 27,\n", " 'believe': 27,\n", " 'perfectly': 27,\n", " 'surface.': 26,\n", " 'occur': 26,\n", " 'suddenly': 26,\n", " 'boundaries': 26,\n", " 'generate': 26,\n", " 'affect': 26,\n", " 'amount': 26,\n", " 'us': 26,\n", " 'ozone': 26,\n", " 'solar': 26,\n", " \"person's\": 26,\n", " 'adjust': 26,\n", " 'break': 26,\n", " 'production': 26,\n", " 'earth,': 26,\n", " 'predict': 26,\n", " 'forms': 26,\n", " 'final': 26,\n", " 'methods': 26,\n", " 'transparent': 26,\n", " 'reflect': 26,\n", " 'complete': 26,\n", " 'income': 26,\n", " 'lies': 26,\n", " 'collection': 26,\n", " 'employees': 26,\n", " 'cooperation': 26,\n", " 'achieve': 26,\n", " 'frozen': 26,\n", " 'distant': 26,\n", " 'let': 26,\n", " 'manageable': 26,\n", " 'you’ve': 26,\n", " 'heavy': 26,\n", " 'international': 26,\n", " 'morning': 26,\n", " 'later': 26,\n", " 'foreign': 25,\n", " 'disease': 25,\n", " 'grow': 25,\n", " 'government': 25,\n", " 'electric': 25,\n", " 'damage': 25,\n", " 'species': 25,\n", " 'four': 25,\n", " 'forward': 25,\n", " 'exposure': 25,\n", " 'opportunity': 25,\n", " 'sends': 25,\n", " 'gain': 25,\n", " 'ocean': 25,\n", " 'authentication': 25,\n", " 'medical': 25,\n", " 'increasing': 25,\n", " 'currency': 25,\n", " 'reliable': 25,\n", " 'rapid': 25,\n", " 'bring': 25,\n", " 'regulations': 25,\n", " 'shows': 25,\n", " 'speaking': 25,\n", " 'run': 25,\n", " 'groups': 25,\n", " 'watching': 25,\n", " 'lost': 25,\n", " 'behind': 25,\n", " 'limited': 25,\n", " 'going': 25,\n", " 'stood': 25,\n", " 'examples': 25,\n", " 'operating': 25,\n", " 'improves': 25,\n", " 'professional': 25,\n", " 'generally': 25,\n", " 'way,': 25,\n", " 'continuous': 25,\n", " 'go': 25,\n", " 'remind': 25,\n", " 'anxiety': 25,\n", " 'consistent': 25,\n", " 'balancing': 25,\n", " 'critics': 25,\n", " 'perhaps': 25,\n", " 'get': 24,\n", " 'navigation': 24,\n", " 'loss': 24,\n", " 'core': 24,\n", " 'gas': 24,\n", " 'lack': 24,\n", " 'learning,': 24,\n", " 'sunlight': 24,\n", " 'conversely,': 24,\n", " 'mathematical': 24,\n", " 'gps': 24,\n", " 'foundation': 24,\n", " 'trained': 24,\n", " 'identity': 24,\n", " 'service': 24,\n", " 'receive': 24,\n", " 'analyze': 24,\n", " 'history': 24,\n", " 'devices': 24,\n", " 'employee': 24,\n", " 'business': 24,\n", " 'change,': 24,\n", " 'offers': 24,\n", " 'sharing': 24,\n", " 'sat': 24,\n", " 'end': 24,\n", " 'presence': 24,\n", " 'first,': 24,\n", " 'thought': 24,\n", " 'this,': 24,\n", " 'choose': 24,\n", " 'decades': 24,\n", " 'object': 24,\n", " 'writing': 24,\n", " 'acknowledge': 24,\n", " 'present': 24,\n", " 'structured': 24,\n", " 'slightly': 24,\n", " 'consistently': 24,\n", " 'particular': 24,\n", " 'capacity': 24,\n", " 'quietly': 24,\n", " 'tends': 24,\n", " 'vaccines': 23,\n", " 'actual': 23,\n", " 'communities': 23,\n", " 'suggest': 23,\n", " 'plants': 23,\n", " 'waste': 23,\n", " ...})" ] }, "execution_count": 22, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from collections import Counter\n", "all_word=[]\n", "for text in df[\"response\"]:\n", " words=text.split()\n", " all_word.extend(words)\n", "freq=Counter(all_word)\n", "freq" ] }, { "cell_type": "code", "execution_count": 23, "id": "6fd9c081", "metadata": {}, "outputs": [], "source": [ "def rare_word_freq(text):\n", " words=text.split()\n", " rare_word=[word for word in words if freq[word]<=5]\n", " return len(rare_word)" ] }, { "cell_type": "code", "execution_count": 24, "id": "b52d10f1", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0 13\n", "1 16\n", "2 14\n", "3 12\n", "4 12\n", "Name: rare_word, dtype: int64" ] }, "execution_count": 24, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df[\"rare_word\"]=df[\"response\"].apply(rare_word_freq)\n", "df[\"rare_word\"].head()" ] }, { "cell_type": "code", "execution_count": 25, "id": "41916264", "metadata": {}, "outputs": [], "source": [ "hedge_words = [\n", "\n", " \"perhaps\",\n", " \"maybe\",\n", " \"might\",\n", " \"could\",\n", " \"possibly\",\n", " \"likely\",\n", " \"unlikely\",\n", " \"apparently\",\n", " \"arguably\",\n", " \"generally\",\n", " \"roughly\",\n", " \"relatively\",\n", " \"somewhat\",\n", " \"fairly\",\n", " \"partially\",\n", " \"typically\",\n", " \"usually\",\n", " \"often\",\n", " \"sometimes\",\n", " \"suggests\",\n", " \"appears\",\n", " \"seems\",\n", " \"indicates\",\n", " \"assumes\",\n", " \"approximately\",\n", " \"around\",\n", " \"about\",\n", " \"probable\",\n", " \"probability\",\n", " \"possible\",\n", " \"presumably\",\n", " \"reportedly\",\n", " \"virtually\",\n", " \"essentially\",\n", " \"practically\",\n", " \"technically\",\n", " \"frequently\",\n", " \"occasionally\",\n", " \"in many cases\",\n", " \"in some cases\",\n", " \"to some extent\",\n", " \"more or less\",\n", " \"kind of\",\n", " \"sort of\"\n", "\n", "]" ] }, { "cell_type": "code", "execution_count": 26, "id": "3ac408ac", "metadata": {}, "outputs": [], "source": [ "def hedge_words_rate(text):\n", " text=text.lower()\n", " words=text.split()\n", " if len(words)==0:\n", " return 0\n", " c=0\n", " for hedge in hedge_words:\n", " c+=text.count(hedge)\n", " return c/len(words)" ] }, { "cell_type": "code", "execution_count": 27, "id": "ce8b151b", "metadata": {}, "outputs": [], "source": [ "df[\"hedge_word_rate\"]=df[\"response\"].apply(hedge_words_rate)" ] }, { "cell_type": "code", "execution_count": 28, "id": "07545018", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0 0.006711\n", "1 0.020134\n", "2 0.013605\n", "3 0.000000\n", "4 0.000000\n", "Name: hedge_word_rate, dtype: float64" ] }, "execution_count": 28, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df[\"hedge_word_rate\"].head()" ] }, { "cell_type": "code", "execution_count": 29, "id": "987f52aa", "metadata": {}, "outputs": [], "source": [ "filler_phrases = [\n", "\n", " \"certainly\",\n", " \"absolutely\",\n", " \"great question\",\n", " \"of course\",\n", " \"definitely\",\n", " \"sure\",\n", " \"indeed\",\n", " \"it's important to note\",\n", " \"it's worth noting\",\n", " \"in conclusion\",\n", " \"to summarize\",\n", " \"overall\",\n", " \"in general\",\n", " \"as an ai\",\n", " \"i hope this helps\",\n", " \"let me know\",\n", " \"here's\",\n", " \"for example\",\n", " \"firstly\",\n", " \"secondly\",\n", " \"finally\"\n", "\n", "]" ] }, { "cell_type": "code", "execution_count": 30, "id": "c6769bfc", "metadata": {}, "outputs": [], "source": [ "def filler_phrases_rate(text):\n", " text=text.lower()\n", " words=text.split()\n", " if len(words)==0:\n", " return 0\n", " c=0\n", " for filler in filler_phrases:\n", " c+=text.count(filler)\n", " return c/len(words)" ] }, { "cell_type": "code", "execution_count": 31, "id": "f6b9ba17", "metadata": {}, "outputs": [], "source": [ "df[\"filler_phrase_rate\"]=df[\"response\"].apply(filler_phrases_rate)" ] }, { "cell_type": "code", "execution_count": 32, "id": "1b98c76d", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0 0.000000\n", "1 0.006711\n", "2 0.000000\n", "3 0.007246\n", "4 0.006944\n", "Name: filler_phrase_rate, dtype: float64" ] }, "execution_count": 32, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df[\"filler_phrase_rate\"].head()" ] }, { "cell_type": "code", "execution_count": 33, "id": "d10792f8", "metadata": {}, "outputs": [], "source": [ "import re\n", "def contraction_usage(text):\n", "\n", " words = text.split()\n", "\n", " if len(words) == 0:\n", " return 0\n", "\n", " contractions = re.findall(\n", "\n", " r\"\\b\\w+(?:n't|'re|'ve|'ll|'d|'m|'s)\\b\",\n", "\n", " text.lower()\n", "\n", " )\n", "\n", " return len(contractions) " ] }, { "cell_type": "code", "execution_count": 34, "id": "c0b33b30", "metadata": {}, "outputs": [], "source": [ "df[\"contraction_usage_freq\"]=df[\"response\"].apply(contraction_usage)" ] }, { "cell_type": "code", "execution_count": 35, "id": "4b213fbc", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0 1\n", "1 3\n", "2 0\n", "3 1\n", "4 0\n", "Name: contraction_usage_freq, dtype: int64" ] }, "execution_count": 35, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df[\"contraction_usage_freq\"].head()" ] }, { "cell_type": "code", "execution_count": 36, "id": "94eea170", "metadata": {}, "outputs": [], "source": [ "def em_comma(text):\n", " ec=text.count(\"-\")\n", " cc=text.count(\",\")\n", " return ec/(cc+1)" ] }, { "cell_type": "code", "execution_count": 37, "id": "caf91b82", "metadata": {}, "outputs": [], "source": [ "df[\"em_comma_ratio\"]=df[\"response\"].apply(em_comma)" ] }, { "cell_type": "code", "execution_count": 38, "id": "ed0307b2", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0 0.090909\n", "1 0.000000\n", "2 0.000000\n", "3 0.000000\n", "4 0.000000\n", "Name: em_comma_ratio, dtype: float64" ] }, "execution_count": 38, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df[\"em_comma_ratio\"].head()" ] }, { "cell_type": "code", "execution_count": 39, "id": "78b6fd42", "metadata": {}, "outputs": [], "source": [ "def bullet_list_frequency(text):\n", "\n", " lines = text.split(\"\\n\")\n", "\n", " bullet_count = 0\n", "\n", " for line in lines:\n", "\n", " line = line.strip()\n", "\n", " if re.match(r\"^(\\-|\\*|•)\\s\", line):\n", "\n", " bullet_count += 1\n", "\n", " elif re.match(r\"^\\d+\\.\", line):\n", "\n", " bullet_count += 1\n", "\n", " return bullet_count" ] }, { "cell_type": "code", "execution_count": 40, "id": "c0ad4912", "metadata": {}, "outputs": [], "source": [ "df[\"bullet_count\"]=df[\"response\"].apply(bullet_list_frequency)" ] }, { "cell_type": "code", "execution_count": 41, "id": "8bb9f94f", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0 0\n", "1 0\n", "2 0\n", "3 0\n", "4 0\n", "Name: bullet_count, dtype: int64" ] }, "execution_count": 41, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df[\"bullet_count\"].head()" ] }, { "cell_type": "code", "execution_count": 42, "id": "9ec5c0b9", "metadata": {}, "outputs": [], "source": [ "import spacy" ] }, { "cell_type": "code", "execution_count": 43, "id": "03b0d2d7", "metadata": {}, "outputs": [], "source": [ "nlp=spacy.load(\"en_core_web_sm\")" ] }, { "cell_type": "code", "execution_count": 44, "id": "b2b70a81", "metadata": {}, "outputs": [], "source": [ "def avg_sent_len(text):\n", " doc=nlp(text)\n", " sent_len=[len(sent.text.split()) for sent in doc.sents]\n", " if(sent_len)==0:\n", " return 0\n", " return sum(sent_len)/len(sent_len)" ] }, { "cell_type": "code", "execution_count": 45, "id": "9f2f8ea5", "metadata": {}, "outputs": [], "source": [ "def var_sent(text):\n", " doc=nlp(text)\n", " sent_len=[len(sent.text.split()) for sent in doc.sents]\n", " if(sent_len)==0:\n", " return 0\n", " return np.var(sent_len)" ] }, { "cell_type": "code", "execution_count": 46, "id": "439090e3", "metadata": {}, "outputs": [], "source": [ "df[\"avg_sent_len\"]=df[\"response\"].apply(avg_sent_len)\n", "df[\"sent_var\"]=df[\"response\"].apply(var_sent)" ] }, { "cell_type": "code", "execution_count": 47, "id": "4ee568df", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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avg_sent_lensent_var
016.55555616.469136
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" ], "text/plain": [ " avg_sent_len sent_var\n", "0 16.555556 16.469136\n", "1 21.285714 29.632653\n", "2 16.333333 29.777778\n", "3 19.714286 15.918367\n", "4 14.400000 12.440000" ] }, "execution_count": 47, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df[[\"avg_sent_len\",\"sent_var\"]].head()" ] }, { "cell_type": "code", "execution_count": 48, "id": "08b741b3", "metadata": {}, "outputs": [], "source": [ "def pass_act_ratio(text):\n", " doc=nlp(text)\n", " pc=0\n", " ac=0\n", " for sent in doc.sents:\n", " is_passive=False\n", " for token in sent:\n", " if token.dep_ ==\"auxpass\":\n", " is_passive=True\n", " break\n", " if is_passive:\n", " pc+=1\n", " else:\n", " ac+=1\n", " return pc/(ac+1)" ] }, { "cell_type": "code", "execution_count": 49, "id": "d7be6616", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0 0.250000\n", "1 0.600000\n", "2 0.428571\n", "3 0.000000\n", "4 0.375000\n", "Name: pass_active_ratio, dtype: float64" ] }, "execution_count": 49, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df[\"pass_active_ratio\"]=df[\"response\"].apply(pass_act_ratio)\n", "df[\"pass_active_ratio\"].head()\n", "\n" ] }, { "cell_type": "code", "execution_count": 50, "id": "ee1575f3", "metadata": {}, "outputs": [], "source": [ "def sub_clause_depth(text):\n", " doc=nlp(text)\n", " label=[\"advcl\",\"ccomp\",\"xcomp\",\"relcl\"]\n", " depth=[]\n", " for sent in doc.sents:\n", " c=0\n", " for token in sent:\n", " if token.dep_ in label:\n", " c=c+1\n", " depth.append(c)\n", " if len(depth)==0:\n", " return 0\n", " return sum(depth)/len(depth)" ] }, { "cell_type": "code", "execution_count": 51, "id": "7d559d22", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0 0.888889\n", "1 1.714286\n", "2 1.333333\n", "3 1.000000\n", "4 0.500000\n", "Name: sub_clause_depth, dtype: float64" ] }, "execution_count": 51, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df[\"sub_clause_depth\"]=df[\"response\"].apply(sub_clause_depth)\n", "df[\"sub_clause_depth\"].head()" ] }, { "cell_type": "code", "execution_count": 52, "id": "f97215e1", "metadata": {}, "outputs": [], "source": [ "def para_count(text):\n", " para=[p.strip() for p in text.split(\"\\n\\n\") if p.strip()]\n", " return len(para)" ] }, { "cell_type": "code", "execution_count": 53, "id": "ddbedc3f", "metadata": {}, "outputs": [], "source": [ "def para_lenght_avg(text):\n", " para=[p.strip() for p in text.split(\"\\n\\n\") if p.strip()]\n", " if len(para)==0:\n", " return 0\n", " para_lenght=[len(p.split()) for p in para]\n", " return sum(para_lenght)/len(para_lenght)" ] }, { "cell_type": "code", "execution_count": 54, "id": "63efd657", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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para_countpara_lenght_avg
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" ], "text/plain": [ " para_count para_lenght_avg\n", "0 1 149.0\n", "1 1 149.0\n", "2 1 147.0\n", "3 1 138.0\n", "4 1 144.0" ] }, "execution_count": 54, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df[\"para_count\"]=df[\"response\"].apply(para_count)\n", "df[\"para_lenght_avg\"]=df[\"response\"].apply(para_lenght_avg)\n", "df[[\"para_count\",\"para_lenght_avg\"]].head()\n" ] }, { "cell_type": "code", "execution_count": 55, "id": "44e7f596", "metadata": {}, "outputs": [], "source": [ "from sentence_transformers import SentenceTransformer\n" ] }, { "cell_type": "code", "execution_count": 56, "id": "e5f61b36", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads.\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "bb03720de66149019a0b0d3d9d2c26d8", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Loading weights: 0%| | 0/103 [00:00\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
polaritysubjectivity_score
00.0356060.346212
10.1598210.431217
20.1234850.609764
30.0833330.361111
40.0428570.384524
\n", "" ], "text/plain": [ " polarity subjectivity_score\n", "0 0.035606 0.346212\n", "1 0.159821 0.431217\n", "2 0.123485 0.609764\n", "3 0.083333 0.361111\n", "4 0.042857 0.384524" ] }, "execution_count": 82, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df[[\"polarity\",\"subjectivity_score\"]].head()" ] }, { "cell_type": "code", "execution_count": 83, "id": "7a33aa4c", "metadata": {}, "outputs": [], "source": [ "df_copy=df" ] }, { "cell_type": "code", "execution_count": 84, "id": "df5fd3d0", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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ttrword_lenghtrare_wordhedge_word_ratefiller_phrase_ratecontraction_usage_freqem_comma_ratiobullet_countavg_sent_lensent_var...topic_3topic_4topic_5topic_6topic_7topic_8topic_9formality_scorepolaritysubjectivity_score
00.5704705.248322130.0067110.00000010.090909016.55555616.469136...0.1355670.0013160.0013160.0013160.0309560.0013160.0013160.9253750.0356060.346212
10.6107385.221477160.0201340.00671130.000000021.28571429.632653...0.0015870.0015870.0015870.0015870.0015870.0015880.9857130.9944490.1598210.431217
20.6734695.578231140.0136050.00000000.000000016.33333329.777778...0.0012500.7710100.2189890.0012500.0012500.0012500.0012500.7574030.1234850.609764
30.6956525.840580120.0000000.00724610.000000019.71428615.918367...0.0012200.0012200.0012200.0498320.0012200.0012200.0012200.9572730.0833330.361111
40.6736116.104167120.0000000.00694400.000000014.40000012.440000...0.0011770.8243670.0011770.0011770.0011770.0011770.0011770.9945250.0428570.384524
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5 rows × 77 columns

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" ], "text/plain": [ " ttr word_lenght rare_word hedge_word_rate filler_phrase_rate \\\n", "0 0.570470 5.248322 13 0.006711 0.000000 \n", "1 0.610738 5.221477 16 0.020134 0.006711 \n", "2 0.673469 5.578231 14 0.013605 0.000000 \n", "3 0.695652 5.840580 12 0.000000 0.007246 \n", "4 0.673611 6.104167 12 0.000000 0.006944 \n", "\n", " contraction_usage_freq em_comma_ratio bullet_count avg_sent_len \\\n", "0 1 0.090909 0 16.555556 \n", "1 3 0.000000 0 21.285714 \n", "2 0 0.000000 0 16.333333 \n", "3 1 0.000000 0 19.714286 \n", "4 0 0.000000 0 14.400000 \n", "\n", " sent_var ... topic_3 topic_4 topic_5 topic_6 topic_7 topic_8 \\\n", "0 16.469136 ... 0.135567 0.001316 0.001316 0.001316 0.030956 0.001316 \n", "1 29.632653 ... 0.001587 0.001587 0.001587 0.001587 0.001587 0.001588 \n", "2 29.777778 ... 0.001250 0.771010 0.218989 0.001250 0.001250 0.001250 \n", "3 15.918367 ... 0.001220 0.001220 0.001220 0.049832 0.001220 0.001220 \n", "4 12.440000 ... 0.001177 0.824367 0.001177 0.001177 0.001177 0.001177 \n", "\n", " topic_9 formality_score polarity subjectivity_score \n", "0 0.001316 0.925375 0.035606 0.346212 \n", "1 0.985713 0.994449 0.159821 0.431217 \n", "2 0.001250 0.757403 0.123485 0.609764 \n", "3 0.001220 0.957273 0.083333 0.361111 \n", "4 0.001177 0.994525 0.042857 0.384524 \n", "\n", "[5 rows x 77 columns]" ] }, "execution_count": 84, "metadata": {}, "output_type": "execute_result" } ], "source": [ "x=df_copy.drop(columns=[\"prompt_id\",\"category\",\"prompt\",\"response\",\"model\",\"label\"],errors=\"ignore\")\n", "y=df_copy[\"model\"]\n", "x.head()" ] }, { "cell_type": "code", "execution_count": 85, "id": "711d7161", "metadata": {}, "outputs": [], "source": [ "from sklearn.model_selection import train_test_split\n", "x_train,x_test,y_train,y_test=train_test_split(x,y,test_size=0.20,random_state=42,stratify=y)" ] }, { "cell_type": "code", "execution_count": 86, "id": "8d834ce6", "metadata": {}, "outputs": [], "source": [ "from sklearn.preprocessing import StandardScaler\n", "scalar=StandardScaler()" ] }, { "cell_type": "code", "execution_count": 87, "id": "f79a118c", "metadata": {}, "outputs": [], "source": [ "x_train_scaled=scalar.fit_transform(x_train)\n", "x_test_scaled=scalar.fit_transform(x_test)" ] }, { "cell_type": "code", "execution_count": 88, "id": "da425f7b", "metadata": {}, "outputs": [], "source": [ "from sklearn.ensemble import RandomForestClassifier,GradientBoostingClassifier\n", "from sklearn.svm import SVC" ] }, { "cell_type": "code", "execution_count": 89, "id": "0c0485a4", "metadata": {}, "outputs": [], "source": [ "rf_model=RandomForestClassifier(n_estimators=200,random_state=42)\n", "gb_model=GradientBoostingClassifier(random_state=42)\n", "svm_model=SVC(kernel=\"rbf\",probability=True,random_state=42)" ] }, { "cell_type": "code", "execution_count": 90, "id": "88d1825f", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\tarin\\AppData\\Roaming\\Python\\Python313\\site-packages\\sklearn\\svm\\_base.py:239: FutureWarning: The `probability` parameter was deprecated in 1.9 and will be removed in version 1.11. Use `CalibratedClassifierCV(SVC(), ensemble=False)` instead of `SVC(probability=True)`\n", " warnings.warn(\n" ] }, { "data": { "text/html": [ "
SVC(probability=True, random_state=42)
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
" ], "text/plain": [ "SVC(probability=True, random_state=42)" ] }, "execution_count": 90, "metadata": {}, "output_type": "execute_result" } ], "source": [ "rf_model.fit(x_train_scaled,y_train)\n", "gb_model.fit(x_train_scaled,y_train)\n", "svm_model.fit(x_train_scaled,y_train)\n" ] }, { "cell_type": "code", "execution_count": 91, "id": "b93adb94", "metadata": {}, "outputs": [], "source": [ "rf_pred=rf_model.predict(x_test_scaled)\n", "gb_pred=gb_model.predict(x_test_scaled)\n", "svm_pred=svm_model.predict(x_test_scaled)\n" ] }, { "cell_type": "code", "execution_count": 92, "id": "c7f70c6c", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Random forest accuracy: 82.0\n", " Gradient boosting accuracy: 86.0\n", "SVM accuracy: 74.0\n" ] } ], "source": [ "from sklearn.metrics import accuracy_score,confusion_matrix,classification_report\n", "print(\"Random forest accuracy:\",accuracy_score(y_test,rf_pred)*100)\n", "print(\" Gradient boosting accuracy:\",accuracy_score(y_test,gb_pred)*100)\n", "print(\"SVM accuracy:\",accuracy_score(y_test,svm_pred)*100)\n", "\n" ] }, { "cell_type": "code", "execution_count": 93, "id": "84ad759a", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " precision recall f1-score support\n", "\n", " claude 0.84 0.95 0.89 40\n", " gemini 0.87 0.68 0.76 40\n", " groq 0.97 0.70 0.81 40\n", " mistral 0.82 0.80 0.81 40\n", " openai 0.70 0.97 0.81 40\n", "\n", " accuracy 0.82 200\n", " macro avg 0.84 0.82 0.82 200\n", "weighted avg 0.84 0.82 0.82 200\n", "\n", " precision recall f1-score support\n", "\n", " claude 0.88 0.88 0.88 40\n", " gemini 0.76 0.70 0.73 40\n", " groq 0.89 0.97 0.93 40\n", " mistral 0.82 0.78 0.79 40\n", " openai 0.95 0.97 0.96 40\n", "\n", " accuracy 0.86 200\n", " macro avg 0.86 0.86 0.86 200\n", "weighted avg 0.86 0.86 0.86 200\n", "\n", " precision recall f1-score support\n", "\n", " claude 0.79 0.82 0.80 40\n", " gemini 0.61 0.57 0.59 40\n", " groq 0.80 0.82 0.81 40\n", " mistral 0.69 0.68 0.68 40\n", " openai 0.80 0.80 0.80 40\n", "\n", " accuracy 0.74 200\n", " macro avg 0.74 0.74 0.74 200\n", "weighted avg 0.74 0.74 0.74 200\n", "\n" ] } ], "source": [ "print(classification_report(y_test,rf_pred))\n", "print(classification_report(y_test,gb_pred))\n", "print(classification_report(y_test,svm_pred))" ] }, { "cell_type": "code", "execution_count": 94, "id": "ba956bac", "metadata": {}, "outputs": [], "source": [ "from sklearn.preprocessing import LabelEncoder\n", "from transformers import(DistilBertTokenizerFast,DistilBertForSequenceClassification,Trainer,TrainingArguments)\n", "from datasets import Dataset\n", "import evaluate" ] }, { "cell_type": "code", "execution_count": 95, "id": "4c9b00c0", "metadata": {}, "outputs": [], "source": [ "texts=df[\"response\"].astype(str)\n", "labels=df[\"model\"]" ] }, { "cell_type": "code", "execution_count": 96, "id": "c671a3ef", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0 vaccines work by introducing a small, harmless...\n", "1 some countries experience earthquakes more fre...\n", "2 recommendation algorithms on streaming platfor...\n", "3 photosynthesis supports life on earth in numer...\n", "4 satellites play a crucial role in modern commu...\n", "Name: response, dtype: str" ] }, "execution_count": 96, "metadata": {}, "output_type": "execute_result" } ], "source": [ "texts.head()" ] }, { "cell_type": "code", "execution_count": 97, "id": "29706d78", "metadata": {}, "outputs": [], "source": [ "le=LabelEncoder()\n", "encoded_labels=le.fit_transform(labels)" ] }, { "cell_type": "code", "execution_count": 98, "id": "b32821c2", "metadata": {}, "outputs": [], "source": [ "text_train,text_test,y_train,y_test=train_test_split(texts,encoded_labels,test_size=0.20,random_state=42,stratify=encoded_labels)" ] }, { "cell_type": "code", "execution_count": 99, "id": "755e6746", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "(800,)\n" ] } ], "source": [ "print(text_train.shape)" ] }, { "cell_type": "code", "execution_count": 100, "id": "19efa6c0", "metadata": {}, "outputs": [], "source": [ "tokenizer=DistilBertTokenizerFast.from_pretrained(\"distilbert-base-uncased\")" ] }, { "cell_type": "code", "execution_count": 101, "id": "6b13fb8a", "metadata": {}, "outputs": [], "source": [ "def tokenize(example):\n", " return tokenizer(\n", " example[\"text\"],truncation=True,padding=\"max_length\",max_length=256\n", " )" ] }, { "cell_type": "code", "execution_count": 102, "id": "67e9459c", "metadata": {}, "outputs": [], "source": [ "train=Dataset.from_dict({\n", " \"text\":list(text_train),\n", " \"label\":list(y_train)\n", "})\n", "test=Dataset.from_dict({\n", " \"text\":list(text_test),\n", " \"label\":list(y_test)\n", "})" ] }, { "cell_type": "code", "execution_count": 103, "id": "d20c4dcc", "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "c2f4da3d00be44c8bea597393cd0d19b", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Map: 0%| | 0/800 [00:00\n", " \n", " \n", " [250/250 1:15:41, Epoch 5/5]\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
EpochTraining LossValidation LossAccuracy
1No log0.9060760.790000
2No log0.4198780.850000
3No log0.2694940.910000
4No log0.3835450.880000
5No log0.2543440.920000

" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "3f4d6869be184491898a0a23ccc81fb0", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Writing model shards: 0%| | 0/1 [00:00" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "pred=trainer.predict(test)" ] }, { "cell_type": "code", "execution_count": 121, "id": "45c1ef19", "metadata": {}, "outputs": [], "source": [ "y_pred=np.argmax(pred.predictions,axis=1)\n", "y_pred_labels=le.inverse_transform(y_pred)" ] }, { "cell_type": "code", "execution_count": 122, "id": "ca3b4782", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " precision recall f1-score support\n", "\n", " claude 1.00 0.90 0.95 40\n", " gemini 0.84 0.80 0.82 40\n", " groq 0.93 1.00 0.96 40\n", " mistral 0.84 0.93 0.88 40\n", " openai 1.00 0.97 0.99 40\n", "\n", " accuracy 0.92 200\n", " macro avg 0.92 0.92 0.92 200\n", "weighted avg 0.92 0.92 0.92 200\n", "\n" ] } ], "source": [ "print(classification_report(y_test,y_pred,target_names=le.classes_))" ] }, { "cell_type": "code", "execution_count": 123, "id": "61044d05", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\tarin\\AppData\\Roaming\\Python\\Python313\\site-packages\\torch\\utils\\data\\dataloader.py:752: UserWarning: 'pin_memory' argument is set as true but no accelerator is found, then device pinned memory won't be used.\n", " super().__init__(loader)\n" ] }, { "data": { "text/html": [ "\n", "

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Training LossValidation LossEpochAccuracy
No log0.25434450.920000

" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "{'eval_loss': 0.25434431433677673, 'eval_accuracy': 0.92}\n" ] } ], "source": [ "re=trainer.evaluate()\n", "print(re)" ] }, { "cell_type": "code", "execution_count": 124, "id": "f1885489", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "66957317\n" ] } ], "source": [ "print(model.num_parameters())" ] }, { "cell_type": "code", "execution_count": null, "id": "ba8d012e", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[[39 1 0 0 0]\n", " [ 0 33 3 4 0]\n", " [ 0 0 40 0 0]\n", " [ 0 1 1 38 0]\n", " [ 0 0 0 1 39]]\n" ] } ], "source": [ "print(confusion_matrix(y_test,y_pred))" ] }, { "cell_type": "code", "execution_count": null, "id": "f5adc22f", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "\n" ] } ], "source": [ "print(type(y_test))\n", "print(type(y_pred_labels))" ] }, { "cell_type": "code", "execution_count": null, "id": "d9f93502", "metadata": {}, "outputs": [], "source": [ "test_df=pd.DataFrame({\n", " \"category\":df.loc[text_test.index,\"category\"],\n", " \"true\":y_test,\n", " \"pred\":y_pred\n", "})" ] }, { "cell_type": "code", "execution_count": null, "id": "f823dddd", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "category\n", "code_explanation 0.916667\n", "creative_writing 0.951220\n", "emotional_response 0.906977\n", "factual_explanation 0.966667\n", "opinion_argument 1.000000\n", "dtype: float64\n" ] } ], "source": [ "cat_acc=test_df.groupby(\"category\").apply(lambda x:(x[\"true\"]==x[\"pred\"]).mean())\n", "print(cat_acc)" ] }, { "cell_type": "code", "execution_count": null, "id": "225c9eef", "metadata": {}, "outputs": [], "source": [ "attck_sample=df.sample(100,random_state=42).copy()" ] }, { "cell_type": "code", "execution_count": null, "id": "6d6cbe76", "metadata": {}, "outputs": [ { "data": { "text/html": [ "

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737T018code_explanationclaudeA beginner asks why machine learning models re...a machine learning model has no built-in knowl...00.6457145.057143240.005714...0.0011630.7076840.0011630.0758440.1181460.0913480.0011630.9657170.0714290.372186
740T021code_explanationclaudeImagine teaching a child why computers use bin...imagine you can only communicate using a light...00.6059114.788177300.000000...0.0011910.0011910.0011910.0011910.0011910.0011910.9892840.9996220.0763890.504167
660O021opinion_argumentclaudeShould artificial intelligence systems be requ...artificial intelligence systems should be requ...00.7376246.574257320.019802...0.0860010.1162300.0632370.0008130.1101520.0008130.0008130.9997590.0525640.447436
411F012factual_explanationopenaiWhy do seasons change throughout the year?seasons change throughout the year because the...40.6397525.366460130.018634...0.0011110.0011110.0011110.0011110.0011110.0011110.0011110.9947130.0484850.290152
..................................................................
436F037factual_explanationopenaiExplain how wireless communication technologie...wireless communication technologies transmit i...40.7162166.831081110.000000...0.0010310.4403850.0010310.0010310.0010310.0376030.0010310.9993430.0475110.333658
764E005emotional_responseclaudeComfort a person who is anxious about making a...the anxiety you are feeling right now is actua...00.6476684.652850160.005181...0.0279320.0014090.0014090.0716820.8905240.0014090.0014090.5102530.1387220.600787
88C009creative_writinggroqDescribe a society where lying is impossible.in a society where lying is impossible, honest...20.6530615.700680230.006803...0.0013890.0013890.0013890.0013890.2117020.0013900.0013890.9905460.0936310.483846
63O024opinion_argumentgroqDo technological advancements make people more...technological advancements can have both posit...20.6241615.382550110.006711...0.0013160.0013160.0013160.0013160.0013160.0013160.0013160.9697930.0599030.466667
826F027factual_explanationgeminiExplain how cybersecurity measures protect com...cybersecurity measures establish a robust defe...10.8033716.713483290.011236...0.0009090.9918160.0009090.0009090.0009090.0009090.0009090.9901780.0922220.617350
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advancements make people more... \n", "826 Explain how cybersecurity measures protect com... \n", "\n", " response label ttr \\\n", "521 lists and tuples are both data structures in p... 4 0.715190 \n", "737 a machine learning model has no built-in knowl... 0 0.645714 \n", "740 imagine you can only communicate using a light... 0 0.605911 \n", "660 artificial intelligence systems should be requ... 0 0.737624 \n", "411 seasons change throughout the year because the... 4 0.639752 \n", ".. ... ... ... \n", "436 wireless communication technologies transmit i... 4 0.716216 \n", "764 the anxiety you are feeling right now is actua... 0 0.647668 \n", "88 in a society where lying is impossible, honest... 2 0.653061 \n", "63 technological advancements can have both posit... 2 0.624161 \n", "826 cybersecurity measures establish a robust defe... 1 0.803371 \n", "\n", " word_lenght rare_word hedge_word_rate ... topic_3 topic_4 \\\n", "521 5.424051 17 0.012658 ... 0.062701 0.490898 \n", "737 5.057143 24 0.005714 ... 0.001163 0.707684 \n", "740 4.788177 30 0.000000 ... 0.001191 0.001191 \n", "660 6.574257 32 0.019802 ... 0.086001 0.116230 \n", "411 5.366460 13 0.018634 ... 0.001111 0.001111 \n", ".. ... ... ... ... ... ... \n", "436 6.831081 11 0.000000 ... 0.001031 0.440385 \n", "764 4.652850 16 0.005181 ... 0.027932 0.001409 \n", "88 5.700680 23 0.006803 ... 0.001389 0.001389 \n", "63 5.382550 11 0.006711 ... 0.001316 0.001316 \n", "826 6.713483 29 0.011236 ... 0.000909 0.991816 \n", "\n", " topic_5 topic_6 topic_7 topic_8 topic_9 formality_score \\\n", "521 0.438445 0.001137 0.001137 0.001137 0.001136 0.757653 \n", "737 0.001163 0.075844 0.118146 0.091348 0.001163 0.965717 \n", "740 0.001191 0.001191 0.001191 0.001191 0.989284 0.999622 \n", "660 0.063237 0.000813 0.110152 0.000813 0.000813 0.999759 \n", "411 0.001111 0.001111 0.001111 0.001111 0.001111 0.994713 \n", ".. ... ... ... ... ... ... \n", "436 0.001031 0.001031 0.001031 0.037603 0.001031 0.999343 \n", "764 0.001409 0.071682 0.890524 0.001409 0.001409 0.510253 \n", "88 0.001389 0.001389 0.211702 0.001390 0.001389 0.990546 \n", "63 0.001316 0.001316 0.001316 0.001316 0.001316 0.969793 \n", "826 0.000909 0.000909 0.000909 0.000909 0.000909 0.990178 \n", "\n", " polarity subjectivity_score \n", "521 0.062670 0.449575 \n", "737 0.071429 0.372186 \n", "740 0.076389 0.504167 \n", "660 0.052564 0.447436 \n", "411 0.048485 0.290152 \n", ".. ... ... \n", "436 0.047511 0.333658 \n", "764 0.138722 0.600787 \n", "88 0.093631 0.483846 \n", "63 0.059903 0.466667 \n", "826 0.092222 0.617350 \n", "\n", "[100 rows x 83 columns]" ] }, "execution_count": 124, "metadata": {}, "output_type": "execute_result" } ], "source": [ "attck_sample" ] }, { "cell_type": "code", "execution_count": null, "id": "6d69d01c", "metadata": {}, "outputs": [], "source": [ "attck_sample.to_csv(\"attack_samples.csv\",index=False)" ] }, { "cell_type": "code", "execution_count": null, "id": "f16f03da", "metadata": {}, "outputs": [], "source": [ "from transformers import PegasusForConditionalGeneration,PegasusTokenizer\n", "import torch" ] }, { "cell_type": "code", "execution_count": null, "id": "23dc758c", "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "0dd45c578f2f455aae658e2e2023e9fe", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Loading weights: 0%| | 0/680 [00:00" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "plt.figure(figsize=(8,6))\n", "sns.heatmap(confusion_matrix(y_test,rf_pred),annot=True,fmt=\"d\",xticklabels=le.classes_,yticklabels=le.classes_)\n", "plt.xlabel(\"predicted\")\n", "plt.ylabel(\"actual\")\n", "plt.title(\"confusion matrix\")" ] }, { "cell_type": "code", "execution_count": null, "id": "e7e9a05d", "metadata": {}, "outputs": [], "source": [ "df3=df.iloc[x_test.index].copy()" ] }, { "cell_type": "code", "execution_count": null, "id": "7a0f92e3", "metadata": {}, "outputs": [], "source": [ "df3[\"predicted\"]=rf_pred\n" ] }, { "cell_type": "code", "execution_count": null, "id": "bbb3a2c2", "metadata": {}, "outputs": [], "source": [ "df3[\"correct\"]=(df3[\"model\"]==df3[\"predicted\"])" ] }, { "cell_type": "code", "execution_count": null, "id": "f5a599f8", "metadata": {}, "outputs": [], "source": [ "cat_acc=df3.groupby(\"category\")[\"correct\"].mean()" ] }, { "cell_type": "code", "execution_count": null, "id": "2e1bfb12", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "category\n", "code_explanation 0.854167\n", "creative_writing 0.731707\n", "emotional_response 0.790698\n", "factual_explanation 0.700000\n", "opinion_argument 0.868421\n", "Name: correct, dtype: float64\n" ] } ], "source": [ "print(cat_acc)" ] }, { "cell_type": "code", "execution_count": null, "id": "d76f1ebe", "metadata": {}, "outputs": [], "source": [ "x_test_df=pd.DataFrame(x_test_scaled,columns=x.columns)\n", "x_train_df=pd.DataFrame(x_train_scaled,columns=x.columns)\n" ] }, { "cell_type": "code", "execution_count": null, "id": "6cecde42", "metadata": {}, "outputs": [], "source": [ "explainer=shap.TreeExplainer(best_model,x_train_df)" ] }, { "cell_type": "code", "execution_count": null, "id": "e9ce72e8", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ " 99%|===================| 989/1000 [00:31<00:00] " ] } ], "source": [ "shap_value=explainer(x_test_df)" ] }, { "cell_type": "code", "execution_count": null, "id": "36b69c6d", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "shap.plots.bar(shap_value[:, :, 0])" ] }, { "cell_type": "code", "execution_count": null, "id": "f52627e4", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Index(['ttr', 'word_lenght', 'rare_word', 'hedge_word_rate',\n", " 'filler_phrase_rate', 'contraction_usage_freq', 'em_comma_ratio',\n", " 'bullet_count', 'avg_sent_len', 'sent_var', 'pass_active_ratio',\n", " 'sub_clause_depth', 'para_count', 'para_lenght_avg', 'embedding_0',\n", " 'embedding_1', 'embedding_2', 'embedding_3', 'embedding_4',\n", " 'embedding_5', 'embedding_6', 'embedding_7', 'embedding_8',\n", " 'embedding_9', 'embedding_10', 'embedding_11', 'embedding_12',\n", " 'embedding_13', 'embedding_14', 'embedding_15', 'embedding_16',\n", " 'embedding_17', 'embedding_18', 'embedding_19', 'embedding_20',\n", " 'embedding_21', 'embedding_22', 'embedding_23', 'embedding_24',\n", " 'embedding_25', 'embedding_26', 'embedding_27', 'embedding_28',\n", " 'embedding_29', 'embedding_30', 'embedding_31', 'embedding_32',\n", " 'embedding_33', 'embedding_34', 'embedding_35', 'embedding_36',\n", " 'embedding_37', 'embedding_38', 'embedding_39', 'embedding_40',\n", " 'embedding_41', 'embedding_42', 'embedding_43', 'embedding_44',\n", " 'embedding_45', 'embedding_46', 'embedding_47', 'embedding_48',\n", " 'embedding_49', 'topic_0', 'topic_1', 'topic_2', 'topic_3', 'topic_4',\n", " 'topic_5', 'topic_6', 'topic_7', 'topic_8', 'topic_9',\n", " 'formality_score', 'polarity', 'subjectivity_score'],\n", " dtype='str')\n" ] } ], "source": [ "print(x.columns)" ] }, { "cell_type": "code", "execution_count": null, "id": "c915f3ce", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "['claude' 'gemini' 'groq' 'mistral' 'openai']\n" ] } ], "source": [ "print(best_model.classes_)" ] }, { "cell_type": "code", "execution_count": null, "id": "52f1d940", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\tarin\\AppData\\Local\\Temp\\ipykernel_12564\\4029608843.py:2: FutureWarning: The NumPy global RNG was seeded by calling `np.random.seed`. In a future version this function will no longer use the global RNG. Pass `rng` explicitly to opt-in to the new behaviour and silence this warning.\n", " shap.summary_plot(shap_value[:, :, 0],x_test_df)\n" ] }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "##claude\n", "shap.summary_plot(shap_value[:, :, 0],x_test_df)" ] }, { "cell_type": "code", "execution_count": null, "id": "8d4f4156", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\tarin\\AppData\\Local\\Temp\\ipykernel_12564\\986713044.py:2: FutureWarning: The NumPy global RNG was seeded by calling `np.random.seed`. In a future version this function will no longer use the global RNG. Pass `rng` explicitly to opt-in to the new behaviour and silence this warning.\n", " shap.summary_plot(shap_value[:, :, 1],x_test_df)\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "##groq\n", "shap.summary_plot(shap_value[:, :, 1],x_test_df)" ] }, { "cell_type": "code", "execution_count": null, "id": "eaa91dcc", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\tarin\\AppData\\Local\\Temp\\ipykernel_12564\\3975192074.py:2: FutureWarning: The NumPy global RNG was seeded by calling `np.random.seed`. In a future version this function will no longer use the global RNG. Pass `rng` explicitly to opt-in to the new behaviour and silence this warning.\n", " shap.summary_plot(shap_value[:, :, 2],x_test_df)\n" ] }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "##mistral\n", "shap.summary_plot(shap_value[:, :, 2],x_test_df)" ] }, { "cell_type": "code", "execution_count": null, "id": "97fca59f", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\tarin\\AppData\\Local\\Temp\\ipykernel_12564\\909524142.py:2: FutureWarning: The NumPy global RNG was seeded by calling `np.random.seed`. In a future version this function will no longer use the global RNG. Pass `rng` explicitly to opt-in to the new behaviour and silence this warning.\n", " shap.summary_plot(shap_value[:, :, 3],x_test_df)\n" ] }, { "data": { "image/png": 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3h+t+NPDJ+uCbl+0Crv3BwKB0Dcl24NXlAWzIMzAwXcOGYuCTihmdc8uBm34wkFkcHB3YmGfgozVhLfwA8MtmE8d/5Mf/jrHg2y0meqdoOKMPcPKHfmSVBjdbkWNi6vt+ZP3NhlibhvO/CqDEW7Gf0O5M4OdM4IVlJrwBE48urPhbqUEFCmJNPnDCJwauPUQCBA0vrag6lnfXmIi3GXj+GF0FRL/vNDG8nRyLxlGHVoDBQh09/fTTKC8vxxlnnKGuS9Bw++23qwZzqBEot0nDfurUqWjXrh2ys7NV8HD11Vfj+eefVw3rcNI4l9z7IUOGqG3y8/PV7T6fD2+++SaOOuooTJw4ETExMaoBLfuSgEUauxKI7Ktff/1VNfQ7d+6M888/H4mJiVixYgWmT5+OdevW4aGHHorYXl7/5ZdfjsGDB6sG8I4dO/Dee++pBv37779f2dAuLCxU20lQdfrpp6N79+4qGJFAQfYRjTzfjTfeqM6lBGCLFy9Wr1fXdXWehQRd0kiVfd13332Vj5XzV1fr16/HTz/9pAKRTp06we/3q8BHghR5PaHnGjt2rArQvvzyyxrBggRwcp7k9lCg8O2336rHyj7ltcu5kHSpX375BS3StFeAF2erHwOwotTWDom+bTU2s8MFH2JVupF87aQiH6korChv1lSQsFut5hwMDILNdVmoTVf1COEJQqHaBKtpwgcTsaZXhifgctqDG2gaym02xHklF6RKXooTerkJZ1lVXYK0yMpjrShLCj7WHavDE2PC4QnAZ9NhWHSsenYNyrPdWP3Cusp9bfp0Kya/OaHG6/S7A/jw0gXI2xD89l78+mZMvKUfhp7Vpca2c6dvxILXtlReX/1lFs54Zjg0DvPXybs/uvDoR1WpbR//Uo5Xb0nF6nmFeO+J7XDrOrIS4mGRFqQEkGpqXmDB0nIVLHy+qurz0c3nR2LAwKodJrpLKz2scdrGH0CK14/lHxRimAHMiQ92WoSbtdaHI+4ugCegQZr08tFSe6/WyHWVS4oH4NdkpA1YHle1UOAOmxWjStx4/1dX+FwAyld/+uDxGXDYajaCt+YE8Jf/FqDIFXzQC9+68PK1SRjZq+L3oY5uneXFQz9XnZPbvjGxs7jqQD4YaMUn50efTnhhZgBHvOyGq+LhD/3iw7wrnBjYrv6N9rPe8+DT1VUruU8bZcXzp0jHQXSLdxqY+IobZcE+CTz0qw9zL4vB4AY89/4gIwXVPfB7AN9tNCoXivwy9KdE3k/5fa94yGMLZcTKqJr1IZxhYm02cPS7AaiIDCYeW4RgoBBWh1vsBR7+LYC/jbbgl+2yvyj7CgDTlxpq5KNStc+qlG89ukh+qrmDN1eb6q/0y5VBhKlGHD44qeboLLUsDBbqSBrA0jCOjw9O7ShBgzQWpfd88uTJqkF/xx13wOmM/KMqjeWzzjpLjRRUDxYksJD7JVAIZ7fbVY+17DOcNIrvv/9+lbcvz7kvpEf93//+NwYNGqRGN0KNXjme3r17q9cloxzhPfhyDqT3XUYdQqQHXUZGZARh3Lhx6rbXX38du3fvVvs/7rjjKs/Xk08+qYKg2hrxco7keELHIWlZn3/+uQoiZHRBGvByXiRYkICsIYYPH66CkPAeq3PPPRd33nmnul2Ct/T0dNXYl+eQ4920aRN69KgqdpUAQpxwwgnqfwk45HzJuZDXLkFX6DWfc845aGnMbbnAS3Mqr3sQB9MnXyIW1cAPZ0ggASeKkKDuL0Ms0rAVsSiCCR1WJKEM8YhR4wySqqSjCHFIwC60xQ41urALXZCJ3mqsQUgxtN30qxSjeJcHhqbB7bCqICDfGaPWWojz+BDQNeQlOlEeY4NmM1UaUqjnVy6u+MiA29Q1eGRKVnUF8OS58ecrkYu6Zf2Sjd3zc9BuTJuI29f/sLsyUAiZ/+JGDDmjc0QQ4Cn1Y/E7kUFV5pJCbFuUj66j0xr6lrQa0vv80teR53ldph8/LXVj+fu7VWO7KMahRhRC5CeLaSI9Ndig6VSRzuEwDKQFDJTCRC+3F7FSxyLvkcWCgKbBo2kYWO5RC/6J2Ci1LVYT8HmkVxgokR5aix4MCEwTabLeR8V2sotQM1iCmXAFVgsKrDpi4+X4qhrLIV+u8eO0wTUDgDd+clUGCsLrB6bPctUrWCgoN/H43LDg2owMFMSnq/xYsjOAQzrUbBA++LOvMlAQxR7gkV99ePX02hv50cj+wwMF8eIiP24/wlbrSMXDv/oqAwVR4gH++6sPb9TzufeXYP5/ZMP7t0wThj9Kq11yf+wV51MeF54vFPrshkeOFelvqOiQWy1rVVY/LRrwwRoDtx9mQbwdKK0YPKtuS4GJLglhx1ktSN4TdwBhgULQh+tMNbIxuA3Te1oyjn3XkTT8QoGCkJ+lQSupQ9ILLsIDBRk1kMa1NDqlAbxq1aqo+5XGd3XSkA0FCoFAACUlJWpfo0aNUretXLkS+2r+/Pmq51968ktLS9X+Q5fDDjuscptw0stfvZc9dEzS2x4ivenS4A5P0arttYbIaEUoUAjft7x+SWnaX+S8hgIFGcGRgE1eswQ6kv4lIzghkpoUHhwIGdn4+uuv0bNnT/Tr10/dtmbNGpXeJMFDKFAQEuCcdtppaGpkBEuCxRB5/+UzFiKjZfLZCCcpW5V2F0d8kUkQINxIjuiL8sOOYqSgAEmV25QjtnK2IxlJcKAAKcipWLU5GS440BWrkIFMFRRYYKAjtiAFWRUjC1LD4EcM/BWJSkBSmRtt80uRVlCqGom7k+KwrmMqNnZIRWF88HcyNJWqOl7pndM0mJoJuzugpk21SYJw6P6KaEHSlcwoX/T52wpqnKuyinUawrmLfAj4jIhz5y7xIRAlVapwV1nD3w95S3bvjri+a9euYKrY/nrPo1xvjOfYnZOP4rAGckhukYHi/GAKXECr+bUmaTSnHBNM57lkUInK0bZJG8k00dftUYGCkE+pU1KQTBPrHTbEGlXvVX+3BzFh1+Wx6RXXpb28oyJQUK9V05ATFiRKIFEZwERpmHXracP3WyOL/UPbZlU03qufm+2h3JEwOUVGvd6PjTsLVG783oSOofr7sb0gchRP3Vboq/d7nlVS8z2V9vHuUrPW1xHtMaHbGuOza5WQMLyBb0q6T7VGf3XVA4XQbdEeUzEiGtK+qjlSKc9lwPB7cUKPKA33ipukkFnqHKKOPDTQxhzXPv+eHyzyrVHXC1XhyEIddevWrcZtkl4jJH1FZGZmqtoGqTUI/0MjouVeSk90QkL0fNTvvvtOpRvJNKHScx1OApR9tXlzcO758HSe6qr/wrdp00bVEoRLSkpS/0ujO0Qa91KrIcFFuNTU1Fpfr9QNVBdt3/tKzuVrr72Gr776StUchH9hVD+3vXr1UgGBjGZI2pW8HqmZkNd3/fXXV24Xev+r123Udltjk/chXHgQHBrZkhSscFJnUml4N6BrOrA1uDqyDeWq+S7pRsXooFKPjC5tULjNijK1UnPkZ78UKWqGI0tFL6oON3agr1q5uT+WwF5R6xBxzGpF566IRbCAWUYTJPdbRiIkdUnexYJEp0zZAYshgUokqVWQugafPbigm9UTQEKxD9bK7l7AHWOo1CRpoMlzWGOtiO8aj6INVb/L1jgrehzTrca50iY48NtzG2CGffF3OywdVocl4twltXeibZ8EZK8L26dDR+/DMxr+fgAq7TFcRkbG/n3Po1xvjOfomJGGMf0K8PufVZ8RKWCeMMQB69hE/DG7ELE+H9y2yK+2s09JQod2wX7+iYMzsLqrgbcWefD1Zx7Y3RGbqvd+nd2KIl1Hjs2q0pHU6zEMnFhYgmVxThRYrUg0gyMH8o6XykFUa3xJ4JCvAT4NapRCSMF8lAEKnDYpAee85ZYemaoGoXzGdeCE/rao5+aEMUn4ZW3k98zkYY56vR8je6ZiSEY5lu8KC4KC2VtV+3ECR/SwRH0/zhziwMKsyIDhrCGOer/niWmmep78sCzVbimaqpmw6NFfx6n9ffhla2TgfdoAS6N9ds/ub8Er0usedvImd9fwxVqtRkBw7UgLTIuOZxfXEqmFhkCrk5drCQ5KPHKUjvM+j3z9p/ezwuGw4uphBt6TkZrwP70V+5vcXcenFbUV9R1dSHcCMh9EZmnkbcf2jt2vv+fU9DBY2E9kJEFy1SUnX1JPpKEpMxtJkCCNUymora56mlHIjz/+iNtuu001uKXAVhoC8gsoPd/XXXddjQZuQ4T2IUW8ffr0ibqNBAfhqjf+o+2voUL1Dgdi3+EkXUjqKySNS2ogJGCTFCwZHZC6lOrPJaMLjz76qHr/xowZo0YZQilKrZVm0WHOvAm46jVV4Gw/JAPmsEHwfPonDF8A5mVHwR8fD/O+X1WqUHVWeNRCbCFFkKBQQxvsiBooCD8cKhxxOewojI2Boeuw+/xIKi2H15A5k3TElgTgcQJepxU2nwm/VXpz5btVQ4xdhy/ZBp+01GRGHJsOhzvyi1aulzuDj5Gvzf7X9EO3k7vg99v/wO75uUjuk4hRdw2Fo6LOIVxq93hM+c9gzHt2A0qyytF9fBsceWv/qK/lhAcG44eH12D7IilwjsOE63sjNrV+eeat2b0XJeKBd0vw60oPOqRZcO3J8ejS1oo2l3dUDaJl84pg06wostlgsek45sh4nDK1asRPyJSmtxzlxPg2wKOPZdd4jrbpVpSWAj1HxCGw2A+tPPh5NXQN3Xw+jOllx7LtAbRJ0nHs6Bi8tCKAdbtrjgx07mBBqlPHgm1+9EzTceMRMZj2mSfYeAz9alg0jOxkRftEGUWIHHm4cYIdXVOj/909aXQMsgoCeOOncnj8wGljY3DFsTXrKvbmk3MduHKGB7M3GxjQ1oLrx1rx+h8+zNsWwPAOOp46MUatHRHNTYfZkFMGvLDIp9Lprx1rw+Uj69+siLNr+PLCGFw/04s/soIFzv87ybHHwlk5Thl5mL7Ir9L/rx5txZWjGq9J88RRFviNAD5Ya6KNE7jzUAvO6a/h+u+AN5cHVDqSNPKnjbDgv5OsyHcDzy8NIBAlXkiO01BYWvNvp3xN9kkF/jtRx/E9dRR5AvjPvIAKss4eoOO/RwW/RyUlyCaBavguDGBKDw2PH63jq00BVZugVAsS4qzBmCQlBrhogIZfdpj4bScwvB3wzNEWxFiBq78P4PedwIh2MnuSBU55MmrRGCzU0ZYtVQWJ1XvnpVdccvYlFeWuu+7CSSedFLGd1ATUh/R6Sw++FBqHBxTRjqGhunTpUpk6JY3g/Ul6DaTXXoKb8ABDhnqrj7jU195mx6jLuZW6hQceeCDidjneaKZMmaJqLSRIkJmNZMYjOV+SZhXSoYNMtgg1C1J10W5rCbRBnYFf7gz+rNZHAJwvVt0fyCmD662VsG8qhLVi3YQgE+2xqbLDy4UE5CA4qhRavbk6qU6wwgfd4kV+bAI0U4PuM+DTLMiPi0VcSbCRJjULMa4A/BYNDgkQTDMY/Fl0DPy/4Vjz2gb4Ml1VRc7VX1NYh176sFQMvKofLA4LjnlnYp3OSe+jM9Rlb5I6OHHaE5H1S1R3aYkWPDKt5oxwzjgLzr6xC86+se77GjvYieMmJeDr76v+Lk0+Ih5XXFTVM/rdXBueeL2gssN4UE87HvxbCmxh6yPcPNXEiS+V4svVVb3sD57gxD+PrlkYvHSXied+r9ru6nE29Eq34IHjYnDxB+WVzzOuqwX/d1z0DqWQacfGqcu+kCDmu0sij/PSUXWbQEMa8w9PsavLvhrbxYIFV0cvpK7tuR88xq4uTUGCQ8Prx1vxejB7tdIrx1vVpbp2ccAtYyx4cG4gmHNV4aQ+OmacZcPVX/vUFKoh14zU8cyUyPflquEWdakuOUbDXYfpuPPnqsef2kfDJ6cHj+P2cSbu+lXSpiJHFWQq11/PsahZm/bk13PYdGxt+I7X0UcffRRRtyA5jR9//LFKq5FpQUMjB9V7piUlqb41BqEGtjS2Q2S/L7/8MvYXydGXoVcZ9ZBe9lDKT4jb7Vb1Ag1Z92HChAmqMHjWrFmVBc6ituLm+gjVhUhqUvVjruu5rf4eyWjQO++8E3V7GXk49NBD1QxKEmRI0XWoliGkf//+KniQ2Y/++te/VtYtyGjTJ598gtbI0iYO7ZZdAdfry6Df/hO8RWWqbkEmRtUQh2K0RS7aohBtKx9TgHZoi8wogUIA6diFnbb20I00VUsQFJwaU2oM9LBZAq3eYMZpSAAmsn/IQpczuuHPJ4I1KQGrpqbGDP9K9Fu1YD2DpKo8P04FCtTyXXJeKkYPj8X6TR707GbHkIGRDdbJh8Whdzc7Fq5wo12aBeMOcUYECqFOjBmXxqtg4c/dARzZy4bRXaN/vf7vVCfOGGzDgu0BjOpswdG9gttdNMqOkZ0t+PJPP7qmaDh1kA32KAu2UcvxwEQLpvbQ8O5qA26fiVN66zihT/D7/3/H2XB6P0OtpzC6g46jutevxPSOwyyY1E3DnG2mavxP7VX1WbozdN92E10SgQKPtDE0nNVXQ9s4fuaoJgYLdSRrG8gsQOHTpEpRjsyAJL3/w4YNU3l6TzzxhCreadu2rZoOVHqyJSVpw4YNdX0qHH300SoVSaYalYap5NnPmTNHNeD3F2l0y/oRkuYkhdoyGiJTqErPv4xgSOP4v//9b8RsSHUl50ny/GX/Utgt9R4yg5GsoyDncV9GB6QQ+oMPPsCDDz6o1p2QFCIpjI5W81DbuZUGvKR5jR49WtVlyHu5p8BDCpd//vlnlcIkwaJMuxpOjuGGG25QnwV57bK+gqQqhfYrNQ37OiLSHOnx9mBvfZFbFSTHo0ilJQXnoQ+oQEFKmDUEEItylCIZW9EP7bFFjSRIMXQcqnp8k41caIGqWalCIwSSGhIKIAKyQFv14/CbiOsejwE3DsCal9bBKPUHp1mNtcDuMWAxTDVdqkvG3yUdKcUOZ1rjzKhCjWNQ/xh1qU23jjZ12VtP90mD7Dgpcp6GqI7qZVWX6gZmWNSFWo/xnXV1iebo7rq6NNTYjjrG1vLVOK6jjnF1+9okYrBQV1IrIGscfPjhhyqdRtJ4ZBpTSVMRMsIgc/XLNKKSEy+98lIcKyksMiVnfYIFmUVIeqWlt1seL/uW3vprr71WNXb35+iCTPUpF5nhp6CgQPWKy1oB5513nppCtSEkIJDFySRwkqlPpaEsoy+y1sSFF15Yo0i6PuTcSNG3rGsgKUEy+iILntU1WLjpppvUaIkUkEsAJvUgp556KgYMGFBjCtuQ8ePHq0a/jGaccsopUY9fPgcSNMjrlvQxGbWRoEHOoaxlsS+vuTkzKioWZRG2UP1CMNXHiU7YrAqjZZE2qUnwwQkDscjGAMQiByWIiQgW0nx50KJkHEiNQbSfK2lAr+sHwGK3YOTDI/HbjQvUlOYiZUI7aE4LCn6pyFvXgOH/GAw9yrz2RETU3LW+jrv9QTP3Z/VoC17BWRq6DellpyoyRemkSZPUdKL/+te/WsWpkRmtJGiSNSRkVKS18a3OQc7Q6Uj056ipUKuYsMIdcZsL8ShAulrFWUrsZL2FEZgDW3CZK+WXpMkoDFQVq6q0I3dAjQ6EUpJUtWPY94GR7sAJmWdVXi/eXIKs2bsQ1zEOHY5ur9J1d8zZhZItpWg/vh2Se0UWwzYHMg2wfMZCq4vvj0UbiYhaGlO7sM7bauYbB/RYmhOmIdEBISlT1Wd7khEMsb8LqptKY03qIcJndZLRIRmJklGJ0JoMrY1tQBukfnoWfGe/ApRVzcWtq0lPI/spYlAGOxKwE+mIhQeWtDiszhuJbliLWJSgGKnofdtw7PhsK3JWlMJjcag6A4tPggStatRCUpPkbZAFsxw6ko+InFY0sXuCuoTrdGTkVH5EREQUxGChGZO0IUl32hNZGEwuB5tMySqzIkkjWVKFpABcFmuTVair5/zvj8BECs73JnwGo/1N6hJk7YVjjjlGzY6Um5urZlCS22+99dZW3dMbc0If2GZdAc+U5yqXFY224I0UJcuqCVLUHGifgu6PHYr1F87GKt9odX/SUR3Q/6ZRyLh6CIoPvR/fZgdHarxOwFGxOrMI2DSUJVaslxCjY+itQw7iqyUiImpZGCw0Y5L/X30lxOpk7Ydp06bhYJM8f2ksS6G0rIwptQHnn3++Op49ranQEFJ/IKlie7No0SIcKFKnIYXWodoPeY1S2C51JjLbVGtnOawHnJvuQmDmKhjlPhS8shqpixdGhAxexKAUMvuWBjM9Duln90LCoRkonLUd9i7xSJ7cCZqkGNmcSPzjXiQf+jkKt3kRsOsolxEGTVYnBfwy57cECrqGo98/EqmDUhrxlRMRUVNRn5WZWd1QhTULzZgUXIcvUR+NFP5KwXJLJr34Gzdu3Ot2LTH9qbkqeGIREm58VBU6y4xIPthhIoBdSEcWuiH9Lz3Q/72j9riP8iwXlt+zFLkLcpA0IBkDbh6ErTO2YftXmXC2c2LgDQPQ4ejgGhgtHWsWiIj2ztAuqvNp0s1g6jQxWCCiRmAUlkNLPV96KyJu34R+yG43EENmH4/YfjUX3qLoGCwQEdXhu4fBQoNwfkAiOuj0ZCdw/oSI20y7DUnPnoZRG89ioEBERAeAVo8LhbBmgYgahfb8lUDbJOCLRUCXdGh3nYW08QP4bhARETUhDBaIqHHEOoBH/hq8EBERUZPEYIGIiIiIWgGmFzUEaxaIiIiIiCgqBgtERERERBQVgwUiIiIiIoqKNQtERERE1OLVZwVnqsKRBSIiIiIiiorBAhERERERRcU0JCIiIiJqBZiG1BAcWSCiFmfuDhPPLzWwMsds7EMhIiJq1jiyQEQtylmf+/HhuqrrD03Q8Y/R7BchIiJqCH6DElGzl11m4tyZASQ+GRkoiH/9YiC/3GisQyMiImrWGCwQUbN39swA3l1josRX876ACYx6y8D6AqYkERG1ZmY9LlSFwQIRNWvbiw38tH3P22wqAq78LnCwDomIiKjFYLBARM3as0vqlmI0ey8BBREREdXEYIGImrVXVtZtO8MM1jYQEVFrnjq1rhcKYbBARM1aobvu23pZ50xERFQvDBaIqFn6dksAnZ73w1fHwQKLBsTbOLJARERUHwwWiKjZmb/TwJSPTOworftjZFakYW9waIGIqLUyodX5QlUYLBBRs3PV90aDprbbWgzM3saAgYiIqK4YLBBRs/LbTgPLchr++C82MhWJiIiorhgsEB0Aa9euxfTp07Fz506e3/3oqT8MHPqOoWY2aqjHFps48/MA/PuyE2q2DL+BjV9mYv5DK7F51g6Y/BzQ/paZCzzwMXDv+8CGLJ5favasjX0ARC3RunXr8OKLL2LEiBHo0KFDYx9Os/fxOgNPLDbw6479s7+P1pk4dY2BcwdY9s8OqVF5S32wxVqh6VV5xqZp4s93NmPD59thT7Bh4IU90GFMG/zwt/nY9sPuyu0cyTYk9UhAn1O7oOeJnbH4qT+xa0EukrrHY9hVfZHSO1Ft5y/3Q7fp0K16xPNJ8BHwGup6wBNQ6XFWBz9X+/9N9gEBA3A6gtf9AcDjA+Ji6vb4+m4vAgHA5Qku55sYG7yt2AUkOAFNCx7Tlmzgoc+A5VuAw/sDbROBO98NFkmJBz8FfrgHOLRfzf2H74sOEp7rhmCwQPtVWVkZ4uLieFZpv/lio4EzPt//dQZXf2+i1BdAuzgNh3XQkB7LL5HmpmBDMebcshi5KwsRk+bAYXcPRffjOqr75j+4Eitf2VC5beacqgAhnKfQh+w/8tXlt/uXI+AJftZknxu/yETHiW3hLfAhZ0WBCghs8Va4drsRk2JH6oAkZC8rgL/UD0eKHd4Sr2qMtB/bBhMfHI64ds6DdCZauNvfBh77HPD6gdPGAiN6Av/9DCgoAw7vB1w6CZg6HGiTVNXIn7M6+PPEAcD/vgk24ItcwFGDgbdvAJLjgJ9WBv8f1zfy+RZtAF77CXhzNlBcHrytbRJg0YGsAqBLGyDRCazfCXj8YY/bWPPY3V7g768B/z4HOGIQYLUA89YAl/0P+DMT6NUeOPswIN4JnDoG6NkueOymCRwxEPAbwE8rgkGFBBwMLKgRaKZ0v1CL9sUXX+Dee+/Fs88+i6VLl6rreXl56Nq1Ky6++GIce+yxldv+/vvvmDFjBlavXo3c3FzYbDYMHDgQl1xyieolD3fFFVcgKysLzz33HJ566iksWrQIxcXF6n/DMPDqq6+q/W3btg1FRUVIS0vD4YcfjquuugrJyckNei2y7zfffBMrV65EeXk52rRpo47r+uuvr9yn3+/HW2+9hS+//BI7duyA0+nEIYccgiuvvBK9evWK2Jfcdvfdd+PEE0+MeJ577rkHM2fOVNtUf72vvPIKHn/8cfz222/wer1q37fccos6n0LSj2RUoboTTjhB7ZfqLmCY6PR8ALtcB/asxViBN4/TcUbf5pmZ6fP51O+bkN9p+b1tDd4/ahZKtod9ODTgLz8cg6XT12Ht+1sa89CgWTQc9fioyuCF6kmaJp/OB575Ktio3xuHDXj9OmDiQODoe4DVFUu2d0kHtuVGbju0G7C7ENhVGLwujfivbg825E97GJhZ9Xd/v+rTAfj6TmDsP4Gc4ujbpMQFgyDRox1Q7g0GKOLQvsCsu4KBBTWIT7uiztvazBd4litwZKEVefrpp1UD+4wzzlDXJWi4/fbbVYM31FiW26RhP3XqVLRr1w7Z2dkqeLj66qvx/PPPq4ZxOJfLhWnTpmHIkCFqm/z8/MrGizTqjzrqKEycOBExMTEqAJF9ScAijfn6Nmg+/vhjPPjgg2jbti1OP/10tG/fHrt27cIvv/yC3bt3VwYLd955J7777juMGTNGbSeB0YcffqgaUdKI79cvynBwHcn5u/zyyzF48GBcc801Khh577338Pe//x3vv/8+LBaLes0SaH366afqObt3764e26lTpwY/b2v12QbjgAcKwu0HrvnBwEm9NNhlQQZq8kp2uCIDBWEC8+5bhu2zo48iHExmwMTce5ehy9HtYbE3zyC0Uf3tZeDpr+q+vaQYXfMi8JdDqwIFUT1QEMuqBZKzVwIv/wAkxR64QEGs2wnc9ErtgYIIBQpiU7XP8by1wHOzgFtOOXDH2MJxStSGYbDQihQWFqqGbXx8vLouQcPZZ5+tesknT56sGvR33HGH6okPJw3us846S/VcVg8WJLCQ+yVQCGe32/HNN9+ofYaToOL+++/H7Nmz1XPWlQQDjzzyCLp166Z69hMSEirvk5EKGckQMpIhgYLs+//+7/+gVQzZyvULLrhA7eOll17CvpxD2c9FF11UeVtKSooaWVmwYAHGjRuH3r17q9cpwYIELCNHjkRTIgGdpIo5HMHc39LSUpXfHTqnEjyWlJSokaAQGVGR4Ky26xK0SXAZOt/76zk+W98GB0u2C1i2OQcje7bZ76/jQJ8r+f0Id6Dej4Pxntf1OSQNKJri+iy+cYC58zxwZZejzFrS4t+P/focFic0aRTXV14JsDBKKlAdBBZtgCU9WJ9yQG3NAXQdqPjOqrelm1vke56RkdGw80EHBbs7WhEJDkKBgpCfpaEvqUOLFy9Wt4UHCjJqII1j6S0fNGgQVq1aFXW/0niuTv6whAKFQCCg/njIvkaNGqVukzSi+vj+++/VaIX06ocHCiG6/PGVDqLZs9X/kjYV+uMm+vTpg/Hjx6tRjYKCiiHdBpDnkQArXOg1SbpVc5Camlr5hz70OQg/pxLohf+hF+F/2KNdlz/04ed7fz1H/EHMpumcAAzvURUoNKdzJV/mB/o5DtZ7XtfnkPqBxK4166P6nBxMB2wK4to7Edc+ttHPVbN7jsKyYEFybWQEIJoOqcE8/wawjB9Qs3bhQJCUp2uPa/jjw46xJb3n1LRxZKEVkV756kIpMpJOIzIzM1Vtg/TQSwM/XPgfjPBe9WiNdyE9/JJuJNOISh1BOAlQ6mP79uCwct++e/5jLlOVSoM+9LrC9ejRQwUT8lrluBtCaiTC/1CKpKSkylEW2r+uG6Hj+eUHbhE1yTiSSUvaOIHXjtNhCZtNh5q+Y6aPw9d//RVlu9yqXqHPGV0x5PI+8HsMLHt+LQyfGZz8ZG+VeaG3fV8r+PSKfZhATKodEx8aAZ1pbfXXu0OwrqB6upCQ4ubPbwN+XAG89yvw7TLA5wfSEoI1C6N6BUcXJLVIjO8PLN4UnNUovC6gfQqwOjNYMHz24cBFRwYLmC+fHExJkp5/mdloTB/gj03AjmCKLVLjgfyw0Sv5m7Gn6Xc7pQGZecGfD+sH3HkmkJoAnDIa+GZJsJA6u6hqX13bAJuzg9fH9gFK3cDKio6o08cCV9R9RJ5of2GwQBEjCdJzL3n555xzjioGluFGCRJee+01LFy4sMbZqp5mFPLjjz/itttuU8XRN998s+r5lB4HSRe67rrr1LBlY4sW/ITIaEg0oRGMaJrCa2ppBqTpOLqLgR8OwKDNP0ZpuHGkhu3FGoa0ARxWBgrNTXLPBJw9Zwry/iyCM9WhevLFiOv7Y8B5PVC606W2WfLsGmz4IlOlBRneyOCz08S2GP+f4WpK1E1fZmLth1tRsr0Mnca3xaBLesEeb4Pf7cfyF9Zjx7wcONMcGHxpL7XfP9/dgm0/ZsGeYEXPk7pg2LQ+MHwGSjJdSO2bCAunUG24z24Frn0RmLMKGNgZuOFEYEhXYEDn4P3nTwxeJPVo0y5gcFcgpiI17af7gDWZwZ/7dQJWbQOueB5YsikYTDx1KTCkW3C606Q4oFvbqud94SrgrjODdQUSsIT+5svMRdKY79sRKCgFvl0K9O8UrJU47PZgwFJdrAP4vmJSCwkoZPuQIwcHLw9eACzcAGTlA4cPCAY9a3cEC7zl2IUcZ3wM0IM98PuOf+cbgsFCK7JlS81ems2bg/mPHTt2VDn3OTk5uOuuu3DSSSdFbCczHtXHV199pXrgZWag8IAi2jHURZcuXSrXLwjNOhSNvA4JSOR1Se1Aba91byMCoZGWAxGIUP18dboFzy4x8egiA/srHf3UXsBDE4Nz4Wdwpt9mTdY6SB9Yc3Y1adTLRYy+ZZC6iA0ztmPLtzvhTHdg0F97Iql71cjowAt7qks0Rz89psZtGSPTo24bkxo5+kgNIA34mbfvfTtpXMululBDWwzsAsz9v5rbDK05Aq10Sg9ewoU39FPigb8cXnV97n+AZ78JTpMqMx5JYCFTsl5/fDC42BP5rhgd+V1V4zES2BA1ItYstCIfffSRKkYKkZ9lhiFJI5LpR6U2IVoPuaQk1bfGINQDHyo8Du335ZdfbtCxH3300Wr2JJnNKPw1hO9byMxLQoqxw1/Hhg0b8PPPP2PYsGGVKUiyWJq8ZgmSwi1btgwrVqzAvgjVftQ33YpqktmJbhypY9s0C87oo6nOvX0RYwGeOpqLZrVWvU7ujEnPjsFh9w6LCBSIGmxUb+C164D3/g7cdw7w4S3Ai1cHRzuIWgCOLLQiMrWozOITPk2qzEIgMyBJ7780pKUw6YknnlCzFcgUpdKTL6MEkpIkDe76NO4lFUnWMTj++ONVzcKcOXPgdrsbdOySxiTTkz700EOqwFj2KUVSMrWr7FdGQ6SeYezYsWrmo2+//VbVXMi6DqGpUyUNSlKiQmJjY9W5+Oyzz/Cvf/1LBUxSGyHnRUYl5LU3lKRfScAkMzdJwCDBg4xoSKE4NYyuafjwJAt2lZn4+08G3lnTsLSv0/po6JTAkR8iotaGU6c2DIOFVkRqBWQ2IGk4y/Rnktoj05hOmTJF3S8jDM8884yaBlTWDJC8fVmT4Mknn1TrI9QnWJCF3qQG4p133lGPl31PmDAB1157rQokGjqbk6xV8MYbb6gpYGV2JCk4ltmIwmeD+fe//60CB1lUTQIfaagPHz5cTbEaviibuOmmm9QIhBQ+S9DRv39/PPbYY2ra030JFmR2BwlgXn/9dbU2hARLsigbg4V9lxGnqQZ/Q4OF47ozUCAiIqorruDcilZwlkXVmtqc/0QNIQHelI8D+LYeJTCSvnTFEA3PTtLVKEVL0lpXcCYiqg+PdlWdt3WY9avVbMlYs0BEzY4UkH9ykgXtapluvbpR7YDsqy14brKlxQUKREREBxLTkKhRyQJptU1TGl5bIBeicHF2Db+eo6PvK8YepzkXu1xAmpNBAhERUX0xWKBGdeGFF6pi6j2RtR+mTZt20I6Jmo/2cRqsOuDdc7yJrFIgr9xkwEBERFRPDBZaAZnxJzQDUlMjxcgeT9jKmlGE1kUgqm63a++BgvCbQGaJjC7wHBIREdUHgwVqVDJdK1FDdU8C4m1AqW/P26XGAAOjr59FREStBKdObRgWOBNRsy50/r/xe69FuO8wSVdizQIREVF9cWSBiJq164ZbkBFn4NGFBqTO2W8Af2RX3X94R+DqYewXISIiaggGC0TU7J3ZV1eX0BoMMzaYmL3dxIA0DRcO1NQIBBERtXb8LmgIBgtE1KJIYHBKb7k09pEQERE1fxybJyIiIiKiqDiyQEREREQtHmdDahiOLBARERERUVQMFoiIiIiIKCoGC0REREREFBVrFoiIiIioFeDUqQ3BkQUiohbKME2syDGR45Ll6oiIiOqPIwtERC3QsmwDUz42sKsMsGrA30dpeHCCpbEPi4iImhmOLBARtcARhYnvBQMF4TeBhxaY+HGb0diHRkTUqFOn1vVCVRgsEBG1MF9tMlHkrXn7LT8xWCAiovphsEBE1MJsLY5++x85B/tIiIiouWOwQETUwvRLZUEzERHtHwwWiIhamFdX7rmegYiIqK4YLBARtTCrcmsPCObuYN0CERHVHYMFIqIWJs1Z+30freXIAhER1R3XWSAiamGce/jL7vYfzCMhImo6OCVqw3BkgYiohemcUPt9h3U8mEdCRETNHYOFA2T69OkYOXIkdu7ceaCegupp7dq1uOqqq3DkkUeq90beI6KW6NLBta/U7Df5Z5+IiFpoGlJJSQneeecdjBgxQjX2Gtvs2bNVA3TatGmNfSi0F36/H//4xz/U/1deeSUSEhLQu3dvnjdqUnJ3eZG1zY0uvZxISrU1eD+HtKv9vl8yDVwyuPaAIavUxIJdJnonA9tKgN1lQLIDmNhZQ3IMVzUlouaMf8NaRbDw4osvqp+bSrAwc+bMqMHCpZdeir/+9a+w2+2NcmwUaceOHepyww034C9/+QtPDzUqw+1H/pvrUL4iD3ntU7AmKRkbV7uQk+VT92sacPKFbWG1W5C9w4M+Q+IwaFRinfe/LLv2GY/eXwO8dKwJi17zS/PxRQHcPMeEEaUGWrYe214eq2NAOkcniIhai2YVLDREWVkZ4uLiDvrzWq1WdaGmIS8vT/2flJS0121N00R5eTliY2MPwpFRhHIP4PYBKfFVtxWWAQ4r4HTs8WSZvgACRV7o8TZk/XsRir/YDEeGDe3uH4+4EenAw58h8N5caG0Tod92OnDUYHi2lECL0ZH30p/I/2AjbBmxaH/7cDiHpmPXDg9+eG8X8rL9aNMnHm6PifiFq3D0sh+QWpCDQIwDxccdirQHToXeLlkdg2GYKCsJIC5eh55XDKQnAnpFwzq/BJ71+ch8cAXKPt8Iv1E1cmDrnAZrzzaYkLMB69v1QFZye3z22u5g1ADg56/yccjhiTjn6o6wO/beUJ+1ufYZj8oDwNebAziys4aHFpj4bCOQbAcmdgTuX7CH8wvgtyxg4GsGpk8GrhjKgIGIqDXQTGkZ1YPP51OpQLNmzcLWrVtVg7hLly444YQTInpsJVf/ueeew/z589WIQNu2bXHMMceoHveYmJjK7SRvXEYLPvroI3z55ZfqUlBQgG7duuGaa67B4YcfrrZbtGiRSh+prn379vjiiy/U85100km4/PLL0b17d7zxxhvYvHkzJk+ejHvuuQdbtmzBe++9hz/++AO7du1CIBBQ251xxhk45ZRTauy3tLQUr7/+On766Se1b6fTqY7prLPOwrHHHosrrrhC7au6u+++GyeeeGLl6/r888/RoUOHA3Ze6ir8/FQfCYl2rHKO5PaFCxeqhnZ8fDw6d+6M0047Tb3XwjAMvPrqq/j999+xbds2FBUVIS0tTR2b1AYkJwcbUCFutxv/+9//1GdHzq+kAV199dX46quv1AiNvMfhZJ9yXAsWLFD7btOmDSZNmqTOvbwfdVXbeyWvV86LfK7kfZMA4cMPP0RmZqYaFQqdp2+//Rbvv/8+1q9frz43vXr1wgUXXKCOJZycD/nMfPrpp8jNzUWnTp1w8cUXV76O6p8Fqubu94BHPwfK3MDkocAzlwE3vgp8vQSIsQF/OwF44Pyopy33lT+x85+/wZ/rhiXVgdj8HeiG1bDBi3ItHoGTDkH8jF8qt/frVqxJOgregig98JrcryGgW+DwBacOctmtWDOwLYblLEGH4mx0KN6tbp/VdyK+G3AEzrmxGxKSLHj/uZ3Iy/Yh1VuMv8z/GH1jioH7zwGe/BJFfxRiG/rDh+ifXbPisqVzW8wb3heGpWZj3GoDjjq5Daae07bG32X5XRTymRv2lobVwfj4gJl7jo5DOzJgIKLmo0y7oc7bxplPHNBjaU7q1fUtX0jXXnstFi9ejLFjx+K4445TaTYbNmxQjepQsJCVlYWLLrpINQilMS7BhDxGvsyWLVumGozVe92lQS+3nX/++ep53n33Xdx888345JNPVANLGvY33XQTHnvsMVWgKhdRvfd3zpw5qmF3+umnq0toVEEaotJglIas7E8art9//z3uv/9+1QiXL9gQacRL433Tpk04+uij1WuQRqLUJ/z6668qWLjkkktUD/SSJUtw3333VT52yJAhtZ6/A3FeDgTJ65eAJCcnp/I45ZjlfZbXGwoW5HjefPNNHHXUUZg4caIKdlavXo0ZM2Zg6dKleOutt2CzVfWe/vOf/8TcuXNxxBFHYPTo0aqhfsstt0R9HX/++WdlbYEEKBJUrVu3TgV8cq5eeOGFOo/cyHs1dOhQdZ5PPfVUHHLIIer2lJSUygJ0Oa8SkEjgKAFPu3bBpG95T1555RUceuih6nh0XVef9VtvvVXVQEjwGPL444+r/QwfPhznnnsu8vPz8dBDD6FjR04/s1dfLATu+6Dq+nfLgCn3A5uDjXKUe4EHPwEO6Q6cdVjEQ91rC7Dtsp+CLW0AgXwP/LCrQEE4zVKUfr044jG5RqfogYIwAUvAhDVQNcfojvbpWNW1J1Z2D9a5jN/wG05f/hXGbP0DXw+chLeezITDqcPtCu4z356I18acjXu+/i8clzyLQEDDJoyHuYc/uVrFpcf2bJTEObFsQLca2/h9wLcf5aBzzxgMHl17WtKBDhTEuV8a2HIFgwUiaj44depBCBZkREEat9KwlsZk9V7VkGeffVY1wJ944onKHvAzzzwTTz75pGpcSi9y9d586YWWxpZWMewuNQnSsJZGsQQo0oCTRqYEC9KzO3Xq1KjHuHHjRtWglOAi3PHHH68avuGkQScNwNdee031FIcan3L8Eij861//Ug3VaK9TgqVvvvlGNZ5rO5bqDsR5ORBkREZGja677jr1XLWRQFHOQfiISChgkiBMajpkZEdIkCWBgry+O+64o3JbeT1SR1CdBGDp6elqhCg8jUyCDAkwvv76azWCUxfyXsl7K8GCHFu090tGUmQUJzU1tfK2NWvWqECh+uf97LPPxt///nf1fsrnSo4vNHI1atQoPPPMM7BYgrPRSCAlny3ai1lLa962JTv6dtWCheLvMisDhZByJMIHG2zwwWuxwWu1A15X1WOQtsfDCc/m91l0LBrSE2YonUiKhHuNU4FCjN+jrsv4bChQqDwGuxNbUzuhT85mlCF1j4FCdR1250cNFkLWLC3dY7BwMGwtBnwBEzYLCwaJiFqyenULScMwMTERl112Wc0dVXyRSmP6559/Rt++fWukykhqh2wnjcjqpAEWahCLgQMHqlEDSeGoD3nO6oGCCE9b8Xg8KCwsRHFxsWpISl2DNPZCxy9pJ7KP6oFC+Ousr8Y+L/UhKUdCAkPpHa+NHFcoUJCRFxmRkfMqDWaxcuXKym1/+SWYAnLeeeft9f2SEQxJ+ZkyZYoavZB9hi7Dhg1T76WkPu1P0ugPDxSEBCTyGuW+8GOQy4QJE9TnZsWKFZUjWjLSJK8vFCiIfv36YcyYMWhK5D2V34EQGTWS9y7E6/VW1niEj4rt6boEW+EZjfV+jp4ZNY7TiK05OYDZo12N53D0rNlotsALC4IjA7aAD3N6jo243wY36srldMBnq9nQ35XYDj/3HFd5PezXNHjdNJBWVqB+tqMc9VESv+c0O3ts5PHv3l0xAlPpwK/SnOYIwKo38c8Vn4Pnip+rZvH7QS1oZEEaqNLYdThqLzSUnnOXy4UePXrUuE+KS6W3WGalqU7yu6NtL6kh9SEpM9HIMUnqynfffRflixUqcBChIGLcuKpGwP7Q2OelPqQORFJ3ZMRFGux9+vRRAYDk6EuwEk7Op6QbSYqWpC9FO6dC0n0kIJK6h+q6du2qRjNCQj9LzURtayHsKYhpiGifGzkO+SNZfUQqXOiPYui9k5qS6iQY2t/Bzb6oHhSFgsPwESMZyav+mdjT9YyMjH17jkuPBl79EVixNXg9xg79/nOB298BXBVfTH07Qrvq2BrPYT+2CxKndEHxNxUBtAa06+qGviX4BSdt+K2HDMdrzkQMy1yJMkccttp7ou/a3MoRBBkTyGqTDL/Nik45+bD4qkYJEsrccJZ7UB5WYC2BwKLOg7Emo6+6PnBEPNp0cGD2F1VfkhM2/I40VyFw7DDEfLccCUYuSpCOvXHbrVjRN/rfMZHR2YFjTu0acVsobS4kxaGhoOr7/IB4brI1oiOjSX6u+Bw8V/xcNbvfjwOJaUgN02Sm66mtx76e9dc1UmJCbr/9dpUKIznrklMuDW55TkmNkfSq8DSqpmR/nZfwL/XqZFSgOik8loJoOWdSfyB1CJIqdeGFF+L6669X2/z444+47bbbVAAhdRTSYJE/FHIuJYWpvscYEnqc1GnUFrTJCNf+VNvnRs7bU089Vev70LNnz/16HK1WYiyw8GFgxgIgtxg4eTTQMQ34y2HAjIVAchxwymgVRFSn6Rp6fnk8imdtg2d9ERImd4KzXwrww3JgdSYwcQAu7twJz9+fjNe2DlYjACMnJKHPeAdyH10Ka4oDuGQIynYGkNHJge7tNBR+thm+LSUw3AEYVg2Hxjnx60bAU26oyY0694pFzGGjMCRgYuTEZAwZE/w8Dh2XiG3ry9HFl4vu29oDw+8Hxg9QKVW9XvwWG98qQvF2LdjxL+k7AVP9mJccj80d28DnsGFbh3R47TXXWIhPtOCoU9IxYWoqrLY9j3Ce0AN488/a779lJJBg15DtAqy6CasGfLwB2FyHPgiZjGnVxTp6prBegYioNahXsCA9wJKuI8NMta0fIEWjksMtOf/VSU+zzBIjPdUNsacG757IEJk0eiVXXeoQwslMO9VrBKQhKmkw+/N4DuR5qYtQ4zq8tz8k2ohGaFRD0qDkIsOOEgBIDYE04qV3QWYxklEm6f0Pb2yHUrqq9yRIELF9+/YaaUdSHxGtl18a6I2ZwiOjIPPmzVO9HtFS28KFipjltVcfDQofNaE9cNhq1COgfSpwZdVoQm0kYEg6ritwXNiNk4YGLzIaJwX2j/VC9k6PKkROSgk2xhPeCtbUiM7Bunel7ZWDIvYv/fhT/aZ6fEobG2Kc0VdI7t43Vl2gaiKCow5Kt7bQ/nM+ev0H8O12IVDgQUy/FLjXF0KPs6EIVnTM8uDbD3Oh73CjS8cYTDkzXS3MFptgUUFKu06OOv/N+XMPA29tnMDDR9T803//eBO3/WLgjVUmXD7AU9GHoOJkE5BlGSZ3BV441oIO8axTICJqLerVNSQpKdLYfPnll2vtDZYG3vjx41VaijS0wklaizQYpVC5IUJ1B9EavHsS6hWu3tMtDfTPPvusxrYy25E06qvfV30foeOpS0rQgTwvdSGBigwNylSo4a9BpgmtXishOYjVU4okKAil2ITOf3idSojsO9rnQ3L8hYzihJMgrnpjWlLdpMf+448/VsdXnRzbgUzDCgkVQkshc7TRl/C8TJkNShpyb7/9dsS2UiRdPSClxtO2g6MyUKgvi1VD+y4xtQYKdWVrF6sCBRHTOxn2DnEqhWngiETc+GAPPPjmANz0YA8MGJGIjt2dSEm3I6NzTL06J8qCa7tF1TEya6CSw6rhsSMtyL3WCteNVgRuDl58N1nh+7sVnpusmHm6lYECEVErU6+RhXPOOUcVqkpjUKbIlF5faURKw1p6h2WaSSEzx8g6ApKaIvne0kMr05ZKfrukAIWm3qwv6fWXfUkBsvTeSu+2NNhDDdE9NZSlkFkKVuV4JW1GCmxkRiHpEa7e8JQ1AqRRLTP6yOuQaTdFKC//3//+t7o+ePBgfPDBB3jwwQdVoa7MuDNo0KBap8o8UOelrmSaT1njQdKIpHErwZI0yKVhLu9niEwz+5///EfN5COjSVJQLVOZSiqSvL5Q0CDTykoqkswoJUXAcm6k0Fempa3usMMOUylFsgaB1IWEpk6V90DWWwgfyZFGkcyGJO+DfOYkHUpqPWS/EjzIc8pMUHWdDamh5HMiazRIrYvMnCU1G7LWg5w3OR+SwhaqRZBzIjNbyedBjlvOndRVyHV5ffLZITpYxrSvfXQhZt9iHSIiamXqFSzInPkyLaQUtMrCWhIcSDqSpI2EN9wk5UR6y59//nnVQJc0IMlnlykoZf2CfVnZWBrqMn2q9PZK41Gea2/BQuhxTz/9tAp2ZIEzaahLXr4cy7333lsjZUem2ZRpM2VOfblIwCGpKOELz8kIhDQCJXj54YcfVA+7LO5VW7BwIM9LXYTWeJD0IZnpSF7PnXfeqRq+4cGCNG5lHQvZRmbAkp5yScWR45QUpPDXL0XbMlog07/KmgjyXkhDXgKJcBIAPPzww5WLssnoikyB+8gjj6iF0KrP7iSjC9JLL++DzCIlQY28B3IO5bMWmnHpQJNgYcCAAWpaVFlDQRZukyBVAiwJ+sLJdRm9kYBIzod8xmRtCXltDBboYJrSHXhtVfT7OiTwvSAiogO4gjPR/iYBmIxKSEDQEtW2mjfR/lJ9BeeRb2tYnht92wsGaHhjKocXiKj1KdFuqvO2CeZjB/RYmhNOZ0EHTbT0JKlZkIX0mtpaBETNWc4elnXYVsT+ISJqnWTq1LpeqAlOnUoNX78hWvFtOKk5kEtje+mll1Q6zogRI9TczOvWrVO97TKN7Z5Wit5T8CFpVXsja1gQtSbjOwEf1FImU7SH4mciIqLqGCw0c7LuQfXVEKu7/PLLMW3aNDQ2WX152bJlar0GaeRLkCCFwFIQXH1RqbqQwvDq9SbRSME2UWvy34kWfLA2eieCf899C0RERBFYs9DMyYJp4UuvRyMF19FWgm7uZFYiSWHaG6Y4UWurWdhSoqPPK9HTjQ5pA/xxEfuJiKj1KdYiJybZk0TzkQN6LM0JvzGaOemtb60kvYgpRkQ1vbeHmXondGYuLhER1R0LnImIWpgYS/SAoEcicNsY/tknIqK647cGEVELc3Y/DXHVFqoe0Q5Yf7kF7eI4skBERHXHNCQiohamc6KGn8+24P9+N7Ct2MQpvTX8Y7QOXWOgQEStF6dEbRgGC0RELdDwdho+OpmLrxER0b5hGhIREREREUXFkQUiIiIiavGYhtQwHFkgIiIiIqKoGCwQEREREVFUTEMiIiIiolaAM8I1BEcWiIiIiIgoKgYLREREREQUFYMFIiIiIiKKisECEVEL5g+YmL/Vj635gcY+FCKiRmXW40JVWOBMRNRCLd/px4kvl2FbgQFNAy4bY8f0M2OhyRUiIqI64MgCEVELddVHLhUoCNMEXvzdi89X+Rr7sIiIqBnhyAIRUQvh81vxxmclWLvFj56d7fh9a83B9N+3BHDyoEY5PCKiRsUVnBuGwQIRUQvx+4YRyFviUj+vXOdFQrwTRVrkAPLg9hxQJiKiuuO3BhFRU5FTBMxaAuzIq/dDi8vjUVCUgkSPB3FeH2J8fvRweSJL9Sw6Yp38s09ERHXHbw0ioqbgtR+BzlcAU/4NdJ0GPPxpvR7u2pWEDJcbcX4DqR4f2rq96FLuQTspVnBYAadN/f/mUs6KREREdcdggYiosRW7gGtfAjwVxccBA7jtbWBbTp0e7vcZyN7cFX5dh9UIZuVKWfOahFjkxjoAqwXQdciUSJ/8aWDJzmDRMxFR66LV40IhrFkgIjoY1u4A7v0AWJMJHN4f0K3Az38CfdoDp47CrrI0bEMveBADO9zobGxChyWbgS5t4Pca+P3tbdj4Wz7sTgtgmPCVB9DrsDSMOb8LsrZ7UGJxotiqIyvOCa8EBqaJrbEOBAwTMA1YADXaEBsw8NCHXlx4dCyeX+TH8jzAtFvQI0XH30ZZ0D0ZuG9uAFuKgH6pwKJdJnaUauiUpOGpozUc0132RERErYVmmjJGTUREB0xJOdD7GmB3YcUNloiB3V3x3bGmtE+Nh/V5eBg63DIc3/x3HZbP3FV1h/zZNoN9X8NO6YDvc2OwISuA5fGxMDUNXk1DptOufg7p6fLAaVSNKHh1DesSnECcvfI22VqylVz+6kcS3I9mAeZfYMWo9ux1I6LmJ1+7rc7bppoPHNBjaU6YhkTN2qJFizB9+nSUlJQ09qFQK1G6NA+5H26CN7u8zo/Je2YedhTGwavZKm6JbGzvLG0b9XE73tuOgN/Aqm93R95REQRIT8/SL7KwY7sXeVZrZXDg0TVYw/qBYgIGYgwDXgkSKh5nN0zEVvsGkNtdUZdhCO7LDAA3zfbj+SUBbCgwsSLbxIdrDOwqZZ8TETV9kqRZ1wtVYRoSNWuLFy/Giy++iBNPPBEJCQmNfTjUwq275Gdkv7pO/aw5LOj71hFIP6N7rdsbfgO//fVXZH2XAyQdBqvhw2GFP6ONv6hym0K0hw8xUR9fsioP63/Jq1hxObJBbuqaChrk1p7ZOcjq1KHyvoSAgYRyLwqtFuQ5bDKEjEJNg1ERTFhME4mmWW2PdfPrdrnICIURLIwAYNOB14634NyB7H8iImpp+Jed6CBxu93w+2vkd1AzUfRzVmWgIExPABuvmwfTX3ux8I6Zmcj6bmfldb9uw9LEEZUNfy+cKEMqklFaLRgI/tzek4/5D6xAckpknUD1Rn6s14duMrpWLas02R+A3TBgDxiVgYIIaBpKdB3ldY4WKh5bvbOt4rrPAK7/PgCPnyMMREQtDUcWaJ95PB689tprmDVrFnbv3g2bzYZ27drh0EMPxd/+9rfK7ebPn4833ngDq1atgtfrRZcuXXDGGWeoSzgZJWjfvj3+9a9/4fHHH8eSJUtUz+qYMWPwj3/8A+np6Wq7e+65BzNnzlQ/n3TSSZWPv/zyyzFt2rS9HvfcuXPV8d188804++yza9x/8cUXY/v27fjmm29gtVqxcuVKfPTRR1i+fLl6nRaLBb169cIFF1yAI488MuKxoWP77rvv8NRTT6nnKigowIwZM9ChQ1UPMDVN/s+Ww33H1/BvLkSxPRlGWgp2eKzY1DsVPs2C1HwX0nPL4NvlwrZbfkPxl1uhFbuRoJfCNiwdO6Gh4y9zka1lAM5ecMXZUZLohAUBpOfmwKUlwWZ6UIbgaFg83OiAXBQjDj6rBav7dEZemyQkucpgzXZBDwRg8erwS6qRrgXTjSpGFSQI2JaajLy4OGT4/Kq4WVKM2rg9qrA5zudEodUKn4xEhL9GKXgu86LYb8AthQoyPGAJ20YKo2WWVTWCIc9kAmV+wOMP3ia1DlYNqAgQ8kwNzy0zcPFAHbfPCeCL9QbcgWDak9WiIzkGiLOYKHWbOLyzjgePsCAjPvKYVmQbuP2nAFbnGjiyq44HjrIiPZbpAES0fzC9qGEYLNA+e+ihh/D555/j+OOPx3nnnYdAIKAa2QsXLqzc5pNPPsEDDzyAwYMH45JLLoHT6VTBw4MPPogdO3ZEBBUiJydHNfiPOOIIXH/99Vi/fr3aR1lZGZ599lm1zWmnnaau//TTT7jpppuQnJysbu/du3edjnvs2LFIS0vDl19+WSNY2LZtG1asWKFul0BBzJ49G1u2bMGkSZNUMFNUVKQCgltuuQX3338/pkyZUuM5rrnmGvUcl156KcrLyxEbG9uAM0wHU2DuJnhPexm6aUJKf9NdZdjtcmNp/9GV2+zsGCwKzsgtQfYTKypvL4cNu+DCcbtmwWoGoNkN/JnaH/ltE9X9PtiwtFN/xAdcGL5rDXyo+jzEwaMu3wwZgc0Z7dVtxXFx0AwDh2xahtw2PWHKLEe6FtHBv65tOgrjYlFm0eG3WNRwsd+iISs2Br1KyjC6sARzU5NQqEeOTsh2toABh8uL3aoo2gpUfNbVCIVEExIMhEYkSr1AecXIWMAECt1AvF0t9BZ8cSZu/DaA91ca+H1HtREGm4lcd8V0hAETG1cYWJVjYuHFoRoOoMRj4sg3fcirKAXZWGBgY4EPP15QVYBNREQHH4MF2mfSiJZRhHvvvTfq/bm5uXjkkUdwzDHH4D//+U/l7Weeeaa6/e2338bpp5+OTp06Vd4nwYYEF5MnT668Tdd1fPjhh6rB3q1bNwwZMkT17EuwIEFFfXvsZWRg6tSpePPNN7Fp0yb06NGj8j4JIMQJJ5xQeZs0+K+99tqIfUgwce655+Lll1+OGiz07NkT//73v+t1XNS4Am8trJHOk2BImlCkgpRYdMytqj0Q5XYb2np3q0BBZHh3wRIjqyhHWpPeQwULycjDVqTBCbcKALxWC7a0axexrQQIZXFxwdGEitEBOTqPzQa/rqEw1qluc1cLBqSRn2+3o4u/HF3LPXDHxcAtwYZKQwoOCMjefBpg8/rgtWjQ7BY43D6YhgmPzQpoYZmq7igpdL5AVbCgdiyBQpTsVsnUCh1eRf2FTMn6Z66J/unB1/TVBqMyUAj5aauJ7UUmOidxdIGIqLGwZoH2WXx8vGpsb9iwIer933//vUo7Ovnkk1FYWBhxGT9+PAzDwIIFCyIe06ZNm4hAQYwcObIykNhfZDQkPDgQMpvw119/rRr6/fr1q7xdRkPC6w/k+OX/UaNGYfPmzSgtrdmgPP/889HU5Ofnq9SxEDnu8Nmk5L3Ky8uLeExWVtYer+/atUudt5bwHIit2ZMdCG80V9AlTSfKbT5ZPyFMW0/NhdWsRrDhbUCHBw4UIVGlIKUbG2Axaq6w7PS5gz+Yplp4LS8pEcXxcSiNja0cZQgmJVU7norbJMbo6A+gi9cHw6ajXNPV9KoeTYMfGlwBE1aXF22zipGSX47UQjfS811qVKNSWM1D7bSITKa9KS3Irvw5bAbXShbNhMPSMj5XfA6eK36uav/9oKaNIwu0zyQF6O6771a97B07dlSNegkCJkyYoEYDZCRAXH311bXuQ76gw8l+qktKSlL/S/rP/iIjExIQSF2CpAzJ8f7xxx/YuXOnSn+qfozPPfcc5syZU+N4Q40KCZzCde3aFU1NampqxPXqx2y321XqVDhJu9rT9YyMjBbzHMaVh8H/wjygtKrBWIZ46IYBo6JnXhrtbXJKoWfEwdxVVrmd0+/Dbi0VpdZYxPtd6rYhu1didZt+CIR6/k0Tw7P+VD/moW1lHm0SdiPBKMKYrYsxt8fYqtfh9WDClrnYNbAdyvQ4uGJiKo9D/k30eFEU41CLrRWHjk/uM02ku71qGtUSGSWQ4ER+1nTYKkY+QvuIMYEYv4QuVSRFKa7Ui9LEipmapK6hTCoQKkgDu1odhM2h4cw+Ot5ZVa3oWw97TEWQdWY/HaN6V42iHNtDx8A2mkpPCrlwiAVt4/UW8bnic/Bc8XNVt98PanoYLNA+kxQgqVmQIl5paMsogRTyHnLIIfjf//5X2aMmaUqh4uTqqgcH0mivzf5eR1BGFx599FFVYyFF1DLKEEpRCn9OSUGSEQQJigYMGKAaEXKcX3zxhQo2ZISkupiY6FNiUtOl926LmIU3w/PQjyhfkIXS1LaI6ZCEoz1+bI1JhNuwqEZ4x9MGoP11A1D6Sxby398IbXcxEpxe9BrZDtsdg2F7YRacWTko1lMxatM6bGjXHj6bhsHZ69GlaAcC8MOBYkg1gwYLkhBcsG3Kmu/RriQb69v0RKqrAN0eOQVr+5yLETN+R2ZSeyxOGBJxvOnlbhUYSMAQ5/XCrwVrGmL8ARTbLNgQGwNdbtM0rE6Jh63cW/M11/JlYJU0o4ARHFWQ/2v87mnomSb7Bga203HfBCsGpQOTummYKWlFMiAiD9U0dE0EYi0ait0aDuukYdohkb/jNouGny+04ZmFUuBsqgLnS6ttQ0REBx+DBdovpNdfGtdykYb1008/rWY+kl74zp07q22kAFka4/tTcP75fSO1Bk8++aQKEoYOHYoffvhBHWd4YCMF1uvWrYs609Jnn322z8dATYverx2cr54DSTwL72euucYykHJyd3UJJ2Ng5t9HItD5FrTL3gmU7cTIvGWwoBBaaHECaeijTCUKFaAX/BXFzvKJHr5juboYo/tAP7ELvLoN3/4RfJxD6gvskasuS2AQX1yKpLD0Gdl6Sdt0dKiY2lVWbJYaB81qgbXadK+SFOXVAGu1WMDjkLoFuUOKHGqmR8FhwbPH2dSoQLiLh1rUpb5SnRrumsCvJSKipoTdNrRPZOaj6qsnSwO+b9++lSlDUnsgQ/ey0rLk+EdL35E84IYIzS5UXFyMhkpJSVEF2lIoLSMEMsNSqJah+khH9VENqdOQAm+i6jS7Ffr704BOKcEbUuNg9goGzuqzFLZtAnbAozvhQjqMiiqEEj0BRWefrH4ecFwG+h3XXkUGiaWlcHiCvy9SStF/eDy6JvuRGBYoqM+sBAFGQM2SpLY1TaSWe+CxW+C1WdTzy0UWbPZoQLHTplKWQsqcNpRL6pE8XG5PclRNrSrxQ6Idd0ysGSgQETVVXMG5YdiFQ/vE5XKpnnmpT5AAQRreku8v6xEkJiaq26VY+dZbb1XTi8oMSDL6IDmLsu5AqLEtsxw1ZP2BQYMGqf9lLYPjjjtOBSVSmCy1CPUhsx79/PPPal0HSS+S1Kpw3bt3V7MlyWiJBDxSiyDTq8p0rvJcf/4ZzEEnCqcf0Q/aloeArXlAx2RoDhuwMx/YVQgtIxnm9nwgIxko9mDnsI9goi1cVgdi/R74DCf6DgzOEKbpGo67awCOvKE38ne6kdrZCZ8v2Okfn2SFz+fD3WctkzlTI56/yG7F4tQEOA0DHl3HiMJS9C8px+pYB/ITnarRr9Zx1jSkxWlYOi0BEkY4rBqeX27iX7MDFRGFAegWpHSMw6ILNHgNHR0SNSQ6OEsREVFLx2CB9onk5J9zzjmqTkEuEjxI+o4ECbKomQQKoUXTZBG2t956SzWwZTRC0pKk0X3VVVfVKBisq2HDhuG6665T+5RgREY6JFWovsGCFGRLKpWMhJxyyilwOBwR90sNg6QqPfHEE2ptBVkzQYISWXxN0pMYLFBtNOnZ7xH8PVA6pAYvcl/F/7LaQPIVhyD7+dWw+aW334m4UW2QOKlqOmERk2hDh8Tg2gTVq2Hiu+agdGNVoaDLomNVcqIKBMotFiT7/Ejz+VGqa8g35DMt6UcVax8A+Nd4GzomVY0SXDPcxEvLDGwKllIo/xyro0da/dOLiIio+dLM/V0tSkRE9SZrG+S9twEls3fCOSAFbS7rD0t81aJleyIjC0//91NkLhoASyCg1mTwWSxYkxSPVYlx2BUbo1Z6jvcF4PL5ce/UGJw2xIGP1xjILDZxcj8LjutdMwjIdZl4YamBbcXAib00HN+LKUdE1Hxla3fWedu2JtdICmGwQETUzEmw8NKLb2DdnFEwAlUDxoVWC97q2UkFCiHpThM5t8c10pESETUeBgsNwzQkapENp7qsxSD1FZJeRNQSWKwBdB66BoWbh6KoIKAKmjfFOyMCBZFXrqHMayLOznoDIiLaOwYL1OIsW7YMV1555V63k7UhGlJUTdRUxacX4pq/d4fPo6s1ET5cZ+LXGcHVokNirGrGUyIiojphsEAtTp8+ffDss8/udbuGFlUTNWW6riE+MfinPdnpDa6YHDYlquEPqMmNrAwYiKjV4YhqQzBYoBZHpmzd34u/ETVHu0tMwOeXCCL4HWmY8Mhqz+UmnDZ+aRIR0d5xagsiohbquH42WOWvvGEAAUOlJo3sZEFGIv/0ExFR3fAbg4ioheqaouO982LRLSU4ijCxhwXvnx9c9ZyIqLUx63GhKkxDIiJqwU4fYlMXr9+E3crUIyIiqh+OLBARtQIMFIiIqCEYLBARERERUVRMQyIiIiKiFs/k1KkNwpEFIiIiIiKKisECERERERFFxTQkIiIiImrxmIbUMBxZICIiIiKiqBgsEBERERFRVExDIiIiIqJWgAtTNgRHFoiIWiDvthIUvL0W5UtzGvtQiIioGePIAhFRC5P3ympkXvEjEDDV9dQrBqLz9KMa+7CIiKgZ4sgCEVELYrh82HnTL5WBgsh/YRVci3Y36nEREVHzxGCBiKgFca8pgFHkrXn7qvxGOR4ioqY0dWpdL1SFwQIRUQtS8unmiOsyvuDXNDjHZcC3vQSGx195X2lJAGWlgUY4SiIiai5Ys0BE1IKUL8iu+tliQ4E9FoamI3fkTLQpK0R8ko7kBydgRmkqliwoVduNPDQBF1yVAZuN/UdERBSJ3wxERC1IYUKs+t+Ahnx7nAoUhD+gYbcjCf4CD758Ziv+mF8K04S6LJxbgh9mFjTykRMRHVhmPS5UhSMLRESNZEOBiSu+NTB7u4kBacDjR+qY3G3f+nA2dm+PATGr0dGbg+1dEvFT/6HwWqxIdHtgMQws9HiRlF8Cm9cHn91W+bjVy8sw5dS0/fCqiIioJeHIAhFRIzltRgA/bTdVL9aqPODkzwzkuPatT6u904Ou7p3YlNEeXw8dA7fdgQSPFxYZQtA0eGMcyM1IRa9NmRGPKy1m7QIREdXEkQWiA2zkyJE44YQTcM899/BcE16Y68b0X93ILjWxs1y6bHTViIfdgvJYK2Zt0XH+gIbNxGGYGiwbsrAzOR3fDxiJ5DIXYBjosnUXHG4vPA4ZSTBh6DrK42KQUlYGn8UC3fDhqHcWYuPHVth6JCP9vkMRe3hHvltERMRggYjoYHlnkQfXfVgW0Vvj16Ea7/AEAL8B3bA0eNB3VVZv5OX44B99JHxWW+VoQlFKAjJ2ZMPmq9rW4fHC7YyBO86J5NIypO0qh9zt21qC7cd+jB5rL4atU8L+eNlERE0Cp0RtGI4sEBEdYDllJs5/rxyzV8lQQhWVcGTVAZmFSK5YdVz6iRfXfFCOZIuBKw9z4PjeOl7/oRwFpQaOGR6DWAfw3uxy5BYE0CHORM8MKzZt9SIv+2h03lYMR1kByuOqahFEaWIcvNkW6BUZTrH+cgwtWIe22/Nh+G3IRFcYmom25g4kIBseVyxchz2IpEPTgFtOBob35GeEiKiVYrBAexUIBODz+RATE7NPZ6usrAxxcXEt6oy73W5YrVZ1IYrGME2MftaFnTvdNe4L2CwwLDK0UHGDz4Bbt8JtsaHQG8Ct33jw1Fd+pHqD9QTz14UNDQDYUWRiw3Y3bCoIcGJdezvGb/gThW2TI59H0+Bx2OF0e6GZBqbu+AVJvqoRDgd8WI8ByEQPdIIV6dgAbMsDtpnA5wuB5Y8DPTP4BhMRtUJs4VCEL774Avfeey+effZZrFixQl3ftWsX7rjjDrRp0wYzZszA6tWrkZubC5vNhoEDB+KSSy7BiBEjIvZzxRVXICsrC8899xyeeuopLFq0CMXFxep/IY9/8cUX8euvvyIvLw/JyckYP348rrrqKqSmptb5XZHnOPHEE3H55Zdj2rRplbdfe+21+P3333HjjTfivPPOq7z9oosuUkHLRx99VHnb+vXrMX36dCxZsgTl5eXo2LGjqjE4//zzYbFISkiQ1BzMnDkT3333nXpNc+fORUFBgTonHTp0wMaNG/HEE0+o/djtdhx66KG46aab+AlrAUzTxKPz/Hh1aQB2K3BIhgafDxjdScflI6xYlW3g5YU+VXpw2SgbFu808L/ffMgvM2AYJrJyfTUSi6R9rwKF6gwTsGjB0QYPsEu3oCzJjlhvAKnl3sh1RTUNpboOm2nCaphINwxs6NQGbouOmEAwAtENA16Ljuz26XCWe9A/a1NEoCCSUAg73PAiBqVIxgbnETARQIrPBc0LpBz1OpKO7QrbpWNhGdPtAJxhIqKDgSszNwSDBYrqySefhN/vx6mnnqpGA7p27Yr3338fRUVFmDp1Ktq1a4fs7GzVUL766qvx/PPP45BDDonYh8vlUg34IUOGqG3y8/PV7RJ8XHzxxWq04uSTT0anTp2wfft2fPzxxyqYePPNNxEfH1+nd6Z9+/aqcb9w4cLKYEH2u3TpUui6rvYXChZKS0uxZs0anHbaaZWPl8BHAhsZGTjzzDORlpaGX375BU8//bQKIu6///4az3nNNdeo7S699FIVXMTGxmLHjh0qYPF6vTjrrLPU+ZH9XHfddfyEtQCXfubFq39UzRa0tGIiobeWBfD2Mj8Wb/NLuYHy/EJ/5doGqvbAMGHdhwmODKk5cNpR5ATivT44ApE78+m6qjWABSizWuDo1AtFNisyylxIc5UjxeeFreLQ/U47ilP2XofgDcQgye+GZjjV9YJtgOfFdUh7ZT5ivp4Gy+R+DX9BRETUrDBYoFrTa955552I1KPevXvD6Qw2HkJOP/101Th+9dVXawQLEljI/RIohHv44YdVIPL222+rRnXIpEmTVBAht4ePEuzNqFGjVI+/HLMcr4yIyM/HHXccfv75Z/VcEgz88ccfKqVKZicKeeSRR1RwIccvr0/85S9/wW233YZvvvkGJ510EkaPHh3xfD179sS///3viNv++9//qpETCZpC+5fzcsstt2Dt2rV1fi3U9BS7TbyxpPZpRednmlVpRBWLoUXQNQSsOnRf5D5kKz1gwLBaamyv+Cp2aq+6PzcuBh2Lw+oeKgqYw9ONchx2JAYCKHLo6J1bClOv+jMvW25J6Yi82CSkuYoqby9CshpVsMAPmcg1AAtiDH/EYbkQh+RAAXyPzWawQETUinCdBYrqjDPOqFGjEB4oyKhBYWGhStMZNGgQVq1aFXU/F1xwQcR16d2X1KMJEybA4XCofYQuksojowzz58+v17sijXMJCCT9R8gog6QynXPOOSrlSEYPhIwyaJpW2ZiXkY7ly5erYwkFCkK2kdQq8dNPP9V4PklPCmcYhhpFGDBgQEQgIvu58MIL0dTI6/Z4PBHvSUlJSeV1GR2R1LDq6V57ui6jRZKq0xKfo9jlQbXO/HozLRb47FYYugYjLJaw+AKw+PzQAgY0fyD4F1nSkDx+wOsPBg6hZZalhz/Wjp1Wi2QnVd5WnU/XVC9Qj8Jc2AORDX4hMy+9POYMLOo0EFtSOmB5aj/MTx0JvxOI0cqx3tkRetT1SzUYck+xu8W/53wOnit+rg7u78fBnA2prheqwpEFiqpLly41bsvMzFS1DFILEP7HIdQwri4lJQUJCZEpD1u2bFGNa0lfkks0klZUHzKyEAoSxo0bp4ICqaHo168fEhMT1e2SCiW3S1CQlJSktt+5c6f6v0ePHjX22b17d5XGJOlF1UlKVjj54ynBU/Xba9t3Y6teE1I95UvqLSTNqnq6156uZ2RktNjnkGcZ09mN+dvDhg/CtI0DsouqFSOE/zrIF61hwrTo8KtiZhM2j09tIheL34ClYmgi4DcQcFSMFsgsSaH9SbRi1dSaCfKbV1oxGpEWMJAWHjSYphpVEFvTOmJQ1u/Ykdwlsk5C11HmiMOXA49ESayzchrVv37zIzyaDX7NioBFRwAaLGFBgx0e2OCH9bwRLf4953PwXPFz1Xi/H9T0MFigqKqPKkhjWHLyJUdfeux79eqlahkkSHjttddUg3xv+wgnKUJSRByNjDjUh/xhkka5BAOSfrRy5UqV/iON/eHDh6tjk3QoqUE499xz9/kd39dZoaj5+ep8B8760ItftgQg5QgZcRqMQLDA+eFjbfhyjR/Pzw8WOP91uBW/Z5r4cm0APr8J028EQwEVUJtqtMAfY4PVHQwYaogSeCNgwGIYsBoBaDFWGJ6A6v23Vow6SFhhM0yk+v1wyshEhVTXbnQpzMKKjAHw2Bxw2ZywBAz0zN4Gr82CrXpH2Mt8GLZuAxxmOUzdRLq/CPm2eOxyxiPDUwSLpsEZG0BqOxP2q06B7erxB/JUExFRE8NggepkwYIFyMnJwV133aXy+MPJjEd1JWlGEmBI2tCYMWP229mX9B+Z4UhqFKQGIVRnIKMOUqw9b948NZQaGoUQkvYkNm3aVGN/oRGQuoxyyAiKFDlv3bq1xn3R9k3NT2qshu8vqj2Ive5Qu7pEU+Q2kfZ/5RGpTKZdV+lIlvLIqVBNq46xnXX8HjaKIQMM629yoltKcKRh8QYv/vpEYdWDNA0T+luwa2FJcHG3CroRwOjtK9GhOAeT1s/Brz1G49Ohx6v7JmxagozifGxCD5QiAe2xG054EB9wIz1QCAR0JK++AZY+6Q04W0RE1JKwZoHqJDSFaHjuopCUJOnJryuZIvWwww7Djz/+qAqRq5P9y3Sk9SVBgDTuZTpWGdKUoCR0u+RQyuiHvIbwImwZTpX0JAkwNmzYEHEMUvAsjjzyyL0+t+z38MMPV7URoalhQ/t544036v1aqGVJitHw7ll2xIfHEj4DgRirushvlFz8Vosqdn54igPH9LaoAYaeqRo+ODemMlAQI3rZcefZCWiTqKtAYspwB+69IB4Duq2GFX410hDrcuPQzSuQWF4Gv27Bwi7D8OXAyZX7yImXgmYr3LCrSoRcJKAYscEMqs7JiH/3LwwUiKjFMetxoSocWaA6GTZsmEr3kXUEpDipbdu2WLduHb766iuVkhTe2N6bW2+9FZdddplKazr++OPRt29f1dCX+gBpuMvUrPWZDUlIjYKkHW3evFmtuxAi6Uly3NLDP3jw4BqLwt18881q6lQ5ltDUqVKA/dtvv2HKlCk1ZkKqjcz4JKMXN9xwg5pNSc6PFD03JPChlufMQVZ1uXyWHy+tqKpjCLgDCMTYKlOPuqdoOKybBbMuiVXBZrRaIHHW4U51CW0jo2kdO2Sqi909BZ5n12B75wzccsodcPq8EfuxBALolpcFv+ZAulkMSWKSe5MG6khY8Z9an5OIiFonjixQnUih8jPPPKNmPpL1FiRokAa4pPhIIXF9SM//W2+9pWofZAYj2ZdMOSqpTrIw2+TJVT2gdSWFzH369FE/h89IJEKpR9VvFzKD0SuvvKJqGySNKRQMyfoIsjhdXclIxksvvYShQ4eq8yOLvMkoiqzXQBTy0AQLjummqeDAatMxsZ8dKbHBxrmMIrx3jhN6xdSpdWm0R9umMGDD8v49kLErFwklLnistspeslhPOc5Y/AMsfmBB5wHqKyC0B1/fXgwUiIioBs2snldCREQH1K4yEw4LkBKjwe0zsbvURJdkrcGN9dBaIaKs9AQsWeJGfHkZ7vj8bQSsFjh9HlXgbPP78OmwichJSsWYNWvRL7Nqtq/kp49BwrVVNT1ERC3NVu3/6rxtV/NfB/RYmhOmIRERHWQym1JIjE1D15T9l/oT6v3pnrcbSb5yBJd3Bpz+4A+6ZqLn0AT03+au3DbmhF6IvzxyUUUiIiLBYIGaJOkplRWg6zITUaj4moiAztYyLIUFu5JS1ZSt4bmmpt2KU14YizZD02E+PBDehTuhJzpg689Zj4iIKDoGC9QkLVu2DFdeeeVet/v8888rp0AlIuCY7KX4o7AjdiRn4LsBI3Ds6sXB06JpcPzneMQPDQYGmq7BMaZ+CyASETVnXJm5YRgsUJMkxcqyWvTeVF8pkqi1i+uegvv/7zGs6NAXXosNFj0PlqR4WObfB71328Y+PCIiamYYLFCTJLMb7c9F24haC/PMcbD+7xsM++PP4A2yUNuTlwEMFIiIqAEYLBARtSROOzD3/4CPfgO25wInjAQGd23soyIiomaKwQIRUUsTYwfOn9jYR0FE1MRw0cmG4KJsREREREQUFYMFIiIiIiKKimlIRERERNTihRaipPrhyAIREREREUXFYIGIiIiIiKJisEBERERERFGxZoGIiIiIWjyTU6c2CEcWiIiIiIgoKgYLREREREQUFdOQiIiIiKjFYxpSw3BkgYiIiIiIomKwQETUxBW4Tfz9pwDGve3HVd8FsLOUSwsREdHBwTQkIqIm7qRPA/h1R/Dn37NM/LgtgFUXW2DVtcY+NCKiZoNpSA3DYIGIqIlZnWtiY5GJlBhgRQ4qA4WQdQXAnO0mju7KYIGIiA4sBgtERE3I5bMCeGnF3tOMfIGDcjhERNTKsWaBiKiJmL3NqFOgINYVsG6BiIgOPI4sEBE1Ea+trHsAsDy34c/z5WofHv7RjcztHvTdkYde5WWwHtMFd16QhpRYpjYRUcvELpaG4cgCEVETsCbPwOur6/5VNji9Yc8zb4sfJ73qws9bDGwK2PB1RgY2aQ6kvLUK575c3LCdEhFRi8VggYioCXhkYf36vJwNHBd+ZYEXhgm08fjQu6wccf4A5nRoB6tpIGdhHrYXGg3bMRERtUhMQyIiagKKvPXbftZmE1cMrd9jNuQZeHOJD0fmFaKvy61ukzrp2alJuHfUUHQtKYXdUr99EhE1H0yzbAiOLBA1wBVXXIETTzyR5472m+U59RtZ+GwDUOSp32Pu+t6D1FJvZaAgJDY4tLAYPl1HTttEtEvg1wIREVXhyAJRLd555x0kJCQwKKADaleZiVvmGGrthPqQZKGhrwfw0UkWDE2Lvs2WXX4882kJVm3zI9uuIz6zDKcVlsCwVv3p1w0DU1euwNVfb0OJ3Y5fnnDg17PHYeaIHthRCpw8wIoHjnUg1s4eOSKi1ojBAlEt3n33XbRv3z5qsPDss8/CNDmvAu27Uz8L4Peshj12azEw8b0ANl1a8z6vz8R1TxUgp9DAersNXXNdOHx3HgKahqKwYOGIVcsx8c+VldflU31ruY55mcHP91PzfChym3jtTGfDDpKIqIngCs4Nw2CBWjy/349AIACHw7Hf9mmz2fbbvqj12lBgNDhQCHH5gZmbgj/H5XlhvDgPgR5tsKRTd2QXGsi2WZBvs+CE4lK1jcU0EevxotxmQZvsEhyycYO63W2xYFaPnnDZrJi8cSPmdeuKPrvyMXBnHpbsTEJgsBOWfh32+TUTEVHzwmAhjNfrxVtvvYVvvvkGmZmZsNvtOOSQQzBt2jT069evcrtFixbhyiuvxN133w232616oHft2oXOnTvj2muvxfjx47FhwwY8+eSTWL58OaxWK6ZMmYIbb7xR/Vxfubm5ePXVV/Hrr78iOzsb8fHx6N27Ny688EKMHTu2crs//vgDL730ElatWqUayN26dcOZZ56JU045pUa+fVZWFqZPn47HHntMvR5N0zBx4kT84x//QExMDF577TV89tln6rm7d++OW265BcOGDdvv52DlypX46KOP1Da7d++GxWJBr169cMEFF+DII4+s97mS1/Tiiy/i/fffx4wZM/D999+r1/C///0PI0eOxLfffouvv/4a69atQ35+PmJjY9Xrktci5zREthVynkI/i88//xwdOnSoPIdffPFFxPPX9T0g8hsmLp21f2YeevwP4OFFRZj48lYYxhpIrXTPQ3tj9ZgLUFoR2Pq1qlqEkduWoffSXSg028AGA7lOJ0468yxsTElV98d6fTht0Vrc8v3iysdsf2Mzur58DLRLjuKbR0TUijBYqCANu+uuu041WqdOnYqzzjoLpaWl+PTTT3HppZeqBuiAAQMiTt6HH36I4uJi1RCUwEIaqDfffDMeeugh3H///Tj22GNVA3z+/PnqvpSUFFx22WX1eoN27typnl8atnJccgzl5eVYsWIFFixYUBks/Pzzz6pBn5aWhvPPP181gqVhLMexY8cOXHPNNRH7lX1cddVVGD58uGrcr169WjWEPR4PkpOTVSNezoGcFwmgbrrpJtUwjouL26/nYPbs2diyZQsmTZqkUn6Kioowc+ZM9Vrk8RJgNMSdd96pRhLOO+88FQilpwcnpf/ggw+QlJSEU089Vd0mQWHoPZbX2aVLF7XdfffdpwIpOReXXHJJ5X7l+GtT3/eAWrfPN5j4OXP/7GtVLjD0o2zoYbFH3Lz1mNRmDT7rOxi6aWJdYhw6lblgNQyMW7kEG8wharscpODdoT0qAwXhstuQFRuZdrQL3dDub+/AefGRgMb6BSKiVsMk5a233jJHjBhhzps3L+KMlJSUmFOnTjUvv/zyytsWLlyotp0yZYq6P2TdunXq9pEjR5o//PBDxH7OO+8885hjjqn32b7uuuuiHpcIBALqf7/fbx5//PHmxIkTzezs7Mr7vV6vefHFF5ujRo0yt27dWnm7vBbZ5+uvvx6xv5tvvlkd+/nnn2/6fL7K22fPnq22/+ijj/b7OXC5XDVeV3l5uXnqqaeaZ5xxhllfzz//vHp+eY3hr2FPz7dp0yZz7Nix5gMPPBBx+wknnBDxvoeT2+X+kPq+B40pLy/PdLvdldfl/SsuLq687vF4zNzc3IjH7Ny5c4/Xs7KyTMMw+Bz1OFcP/B4w8V/ffrnE/F+Z6cI1NS63jJ9h4h/Fpu3vhWb8DXlm2rXZ5oPDvjTnJjxofofXKi+Tpiwx8be8iEvHi7aav+H5iEsBLjNNV/Czw/ecvx/8W8K/ifvr++NgWYNH63yhKpwjr4KkpkjKSP/+/VFYWFh5kZ71MWPGYNmyZSrdJtwJJ5ygUoJCJI1Fet7btGmDo46KHKqXVJe8vDy4XK46B3LSy/7bb7/h0EMPxbhx42rcr+vBt+/PP/9UKUAnnXSSeu7wvHpJVTIMA3PmzIl4rKT7/OUvf6lxjFK0e/rpp0ekCkkqlti+fXuNY9jXc+B0VvVeyvmVcy7/jxo1Cps3b1ajOw1x7rnnRk35Cj2fvE7ZtzyfjBZ07dpVjaY0VEPeg8aSmpoaUb8h75/M+hQiI0QyOhJORn32dD0jI0ON4PA56n6uJnXdf73zbpsd23ok1bj9x2691P8+AKUWC8Zt2I5xa3fg8cknRWw3eHvNqZhGbdsVcV2HH3E9YgFn8LPD97wKfz+C+LekCn8/6vf7QU0b05AqSMNUUnAkHaY20rAM/1B37NixxjaJiYlo165djdtDjTEJACQ9pS6kcS6N2r59++41VUn06NGjxn09e/ZU/0saTDhJwale8CvHLiQnP9rtcuzV7es5kPSq5557TjWk5efqpEEfHozUVSidqLo1a9bg+eefx+LFi1Uq1t5eS1015D2g1m1khobHj9Rx288G3LIy2j64abiJP/6agbgXPUjb7gYSY2C7Zyom9euBP2Z71QxH4pi1W7Gia3tsb5eKL8b3x6T56+H0+jF0VwEmr9+GH3t0gqFrGJBfiKOzc2DqBjRDhx1udEvcCuvX/9gfL52IiJoRBgthpLBWCnBrUz1fXXrnown1+EfTVKbb3NMx1nZftGPfl3Mg/0u9hARqZ599tqrHkMBAHiv1EVJoLj3yDSFF2tVJz78UJsvIh9QoyEiSbCe9vI8++miN4IHoQLthhI5pQzSMfiuAlXkN24euATcMB77e4MBXd/TBX489Dba2idCcdjwI4PYj7ehwXwlKvUCh04HOFQuyzR/UFYv7dYLT40NJrAPDdm3Bi6/8C3bTg286TYVXd2BFrww4vF4kZlgw/Le/7d8XT0R0kDWNFljzw2ChgsziU1BQoNJf9tTQPdjHJA3ZtWvX7nG7UI/4pk0V8yeGCd22L73mB8r69evVrESXX365mnEqnMzEtL/99NNPKgVKCpfDZzgKjXZI+k248LSavWmu7wE1PqdNw9NH6zjyg4YFxpcN1pARV/UVqHVIghY2tW9CjI7bJzlw21cevDWiP156/1t0ySnAtjYp8FstKLFa4AgY2JLeGas790amxYo8WyJS3R5VyOxxOND/pqqZ0IiIqHVpGq3iJuD4449X+fRvv/121PvlvoNNZu2ReoV58+ap2YRq66GXaV0lPUp642Wa0BCpt3jzzTcrp0VtakJBWfURC5lyVWZJOljPJ7MhRXt/pb5BZnqqi+b6HlDTcEQXHfcdWv/HTZ+s4bnJe/8zfutRMfj6slj0Gp+OR48bixMXrcaIjZlIcrkR6w/AWTGC92WvcVhx7+UY9sJ4jLpxAAZd0AMnvnk4+p3ZrSEvi4iIWgCOLFQ455xzVINc1gVYuHChGmGQdBVJXZHr0ussc/gfbLLugUzdef3116tiYinAlgJgmcdfioTkdkkFku1k2s6LLrpITQsqNQHfffedmmL14osvrjWHvzHJ+g2S4//GG2+o1yRFxtu2bcMnn3yiUsKkaHh/Ouyww/D000/jrrvuUtPCSg2FFK5LMNapUye1cFu4wYMHq7UapKZCjlUa/BMmTIgoyg5pru8BNR3Thlpw17y6Fy/0TgauGBpMA6zLo6b0s6nLzE0azFnlMPtYoNmssIcFz0d0i8MZZ1TUCI3uU/8XQURELQ6DhdCJsFrxxBNPqAXCvvrqq8rAQGa2GThwoGqoNwZJXZGeaVnoa+7cufjyyy9VAbHMOiQN0hBpxMrCYy+//LLa3ufzqZz8O+64o8kuCCYNbAnO5LzL2gpSMyDFwPfcc49KT9rfwYIEBE899RSeffZZtcidjDQMHTpUvdcPP/ywWmQt3NVXX63Sk2QtiZKSEjUiIWtRRAsWmut7QE1H2zgN94wD7vmtbttP6NSw5xk+JhnLfQEcPW8N/BYd2zqmIcbtwyhPPk56YVDDdkpE1AyY4BoxDaHJ/KkNeiQREe1XW4tMdH8xUKcivP9O0HDz6ODIggSmEgALGcWSKXtrU7KyAHOHVa087rVa1EJtR6w9BbHdq6bQJSJqaf7UHq/ztv3N2ie8aW1Ys0BE1ER0TdJw6eC69XxlxDeshyxhUAoyzuxaed3uD6DLX3syUCAioqiYhtQIZEaevS3OJik61adqba2knqEui7PJ2hFEzd0Lx+g4voeJn7YZKPRoKPOZ+Hh9ze2KPA1/jqFvjUfG6V1R9Ec+kseko+2JnffpmImImgOmITUMg4VGIPnsL7744h63keJlmVmHoIqE77333r2eikWLFvF0UbMnhfSn9JZL1cDv4e/6MTdsTT+rDhzfo+G5t5pFR8YZ3dSFiIhoTxgsNNI0rcOG7Xne8uqrK7dm48aNU0XJRK3Vu8dbcNm3Br7bYqJnMvDwRB3dklioR0REBx6DhUYgs/LIhepG0ouYYkStWedEDbPOsKgZueqzWCAREVXhjD4NwwJnIqJmgoECEREdbAwWiIiIiIgoKgYLREREREQUFWsWiIiIiKjF49SpDcORBSIiIiIiiorBAhERERERRcU0JCIiIiJq8ZiG1DAcWSAiIiIioqgYLBARERERUVQMFoiIiIiIKCrWLBARERFRi2c29gE0UxxZICIiIiKiqBgsEBG1FB6gPM/T2EdBREQtCNOQiIiaOU+xD3grCfpOGz588lvEpDtw7EuHIn1QSmMfGhFRk8GpUxuGIwtERM3c/PtXqEBBq7juzvVg1iVzYRrM0CUion3DYIGIqBkwAwYCu0thmib8ZT54d5TCt6sE7jwPMudkwxIwoIUFB+58L3YuLWjUYyYiouaPaUhERE2ce8afKLnmSxg7ihFIjsOmkmSUmTHwOnSUpNjRMa8MTk8AAQ3IT3EiLyUWhqbh0ft2oPvQYlx4Q0ckpdga+2UQETUqpiE1DEcWiIiaMCPPhaJzPlKBgrAUlqFbYJeaA9DuMdEuOxgoqPtMoE1+OeJcXpgOKwJWCzascuHDF3c18qsgIqLmisECEVFTk1cC5AaDA+9364FyX8TdNgTglKmPADj8AfisOoxQwQKAHtl56FhSCKNiXvE1S0uRlxu5jxCfy4/S3e4D+WqIiKgZYxoSEVFT4fYClzwLvD8XME1gQCdYNhYC6BqxmQQAXtjgs+nY0D4FXocVumGgTa4L6QXlcMXaMXPMCLjtdlXHoMPEP6/fgg4d7Zh2fQY6dnao/Sx4di2WvrEJfreBtoOScex/D0FCh9hGevFERNQUcWSBiKipeOxz4N1fAMMIBgurtsPmLgEQTDMK8cOKGPiQm+FUgYIwdB2728YjL9mJDyePU4GC7CP4Rz447LBzhxcv/S+YkrRtXg4WvbBBBQoie2Uh5ty/8iC/YCKig8esx4WqcGSBCMDIkSNxwgkn4J577uH5oIPOLPcCa3YCMxZWTn8azg2nul2HAUONE+iwxXjhjbHU2HZTt3QYWjBEsPv9MDVdBRIh27d6sWGdC7t+z1VF0KauqZmUROb8XBiGidVZAcR6fTASHIgxAijO96PEaUWiDcgvBYZ3t8ITMLFgFzA6A8gr15DsANJiox09ERE1ZwwWqNnbuXMnvvjiCxxxxBHo27dvYx8OUb2Y78wDLn8ZcHllfEAFApqqNqhigxs+xCIQNhjcp3wtVprtEdAiA4b2WUXokLUSW3pnIGCzqB6ywrhY5CfEq/slXenlG/+EadMR2zYV0DRYfH4kFJZgfXoy2t9TjGyfDs1mweFZmTg0Kw9W00Sx1YodyQnwWa3YmeDAko4pKthQIyABEzYTuG6Ujkcn8WuFiKglYRoStYhg4cUXX8S6desa+1CI6sXMKQYufqEiUBDSM18VKHgQo/5PQWZEAOFAKRKRiy47C4KN9QrxpR44y33I6pymAoXQHlPKXHB6vGrbpPJy2AMBxMpohjT2JcnJZkVpUjzeGNRHBQqwWdDJVY4JO3NVoCAS/X50KZKUKGB9ekIwUFBPoAFWHT4TeGy+gRlrIwMdIqKmNHVqXS9UhV1ARET7YcE0rNoJdEyGlhYPU2oOVu0A5PYdedCGdQU6psHMLQGyimAOaA/jz1z4vl4F3WuBvaImQUYOTDhghQcB2LEZA9ENG+BEETpiOcqRBAv8cKAIpUhDQqkPvbfkotRpR4zPQLzLi8LYGLjigwXM4VJKS5Gi2vYatIoAoNxigc+iI9Hrg8dhg6Zr6FJajt1JTnQtdtXYR5zPj3ybBTZDFoAzYKrplkzAagl2PQWAT9cG0C1Fw8B0iSH4hUtE1NwxWGjiysrK8Prrr2P+/PnIzMyEy+VCu3btcPTRR+Pyyy9HTEwMNm/ejDPPPBPnnnsubrrpphr7+Ne//oUff/wRX3/9NVJSpLkALF68GM8884zqjY+Pj8fkyZNx6qmn4i9/+Yva77Rp0+p1nDNnzsQHH3yAbdu2we/3Iy0tDYMHD8bf//73yucUcr+MAixYsABFRUVo06YNJk2ahCuuuAJOp7NyO6kdkH3Onj0bTz/9tDp+ORf9+vVTr3HQoEFqO0k/uvfee9XP8n/o5+HDh+OFF17AvpLz/sYbb2DVqlXwer3o0qULzjjjDHUJd+KJJ6J9+/bqXD/++ONYsmSJapSNGTMG//jHP5Cenr7Px0JNk7l4K/ynPQdsywfsVugXj4M2axmwJVvdL81lEwEYfTvB2FSMgA9wWVNg+KX3CihHN5gwEI8SuJGgHmFFOZKxHWkoRCZ6oxuWwQof4pEHD5xYi9Eo1ROxOzkBHrtNNdg1db8XhkWHw+2Dx2mPOE5bIACrP4AYVznK4mIxv3N7bJHUJE1DnNeLeE3DlOwitW15mRt+I7KoWpRaLRhYUIzSeBvyY5IBqxYMiOSVWHW10MPra4HX1wXQIR748EQLDu3IgIGIqDljsNDE5eTkYMaMGTjqqKMwZcoUWCwW/PHHH6oBu3btWtXg7969OwYMGIBZs2bhb3/7m9ompLS0FHPmzMGhhx5a2WhfunQprr32WiQmJuKiiy5CQkICvvvuOyxbtqxBx/jll1+qxv0hhxyCK6+8Eg6HA7t378bcuXORn59f+bx//vmnul+e77TTTkPbtm1VsPLee++p55bGvdUa+ZGU45THX3bZZSq4ePvtt9Vr/PzzzxEXF6ee8+KLL8arr76qgh25LlJTU7GvPvnkEzzwwAMq6LnkkktUMCPBw4MPPogdO3ao46j+XkmQJbUT119/PdavX6/2IUHOs88+u8/HQ02T/6+vBgMF4fUD039UqUSRTWQLsHa3lByr0QEJFIT8Gws3ShAHNxKr9gknStEOSdiJPLRHNrqjPdarwXEJHtyIR25CXDBQUDvS4HLaVSe/oVvQbkcBtvVoC1T07Ks1GDQNfrsNAZ8fWTEObEmUwCQozgTSPVXrMDgDMnJgYmtCLLqWBEcY/FIMbbFgR6ITyzKqOgBgCctmDaUmSXpgKXDh1wGsv9SiAmciosbHv0UNwWChievYsaNqjIc3os866yw899xzePnll7Fy5UrVyy4z+Tz88MP47bffcPjhh1du+/3338Pj8aj7Qx577DH15S2P79Spk7pNRiakd78hpPdfGu5yTOHHKYFBuPvuu0/1sEugI9uHjB49Grfccosa+ZAe+nAyknDrrbdWXu/Ro4e6/s033+D0009Xxy+99xIsDBkyBFOnTsX+kJubi0ceeQTHHHMM/vOf/1TeLudJbpegJfT8Idu3b1fBhYzShOi6jg8//BBbtmxBt27d9suxUdNhFrmAlTvDb1EN+mgT7wVvl0ydigZ+GCv8NW7zIA5pKIcOP4rRFi4kIRZFKEEwEPZqFlh8BgK2qsZ6QUps5YiC22qFVQUtGsyKYEHt125Fgfz+SWRRcVtsxWxIEc9vtWB1WirmdG+HxGJZtE3DETkFyEqoGgHcG1kiIqsMapSBiIiaJxY4N3E2m62yAS7pPcXFxSgsLFQNbCHBgjj22GPVthJYhPvqq6+QlJSE8ePHq+t5eXlYvXo1Jk6cGNHQlec455xzGnSMksbkdrvx66+/wgwrtgy3YcMG1dMuoyM+n0+9htBl2LBhqtf+999/r/E4Sa2qPsVpqGF+IEmQJWlHJ598csSxykXOpWEYKpUqnKRUhQcKB/N460NGeySADB99KikJFq4Ked3yOQmXlZW1x+u7du2KeO9by3P4HDqMzslRQoKavVehgjmpOaguICMP1QRnQLLDqLhPKhUkaJDgoQwOJBd6kZ5XjpS8cjUKoJ7DNOC1W1Ae74BhtSBgsaipUSUoUClPdjuKEhPRye/HhN25iPUFj8UTNrVqiNUwkOuwY3tyHFalJiErLlhsneaqOh9709Zpoo2zZb3nfA6eK36u9v/vBzVtHFloBqRn+uOPP8amTZtUIzVc6JdUAgIZUfj555/VL6804GWWIMmdl/x6CSSE3Ca6do1cEba22+pC0oAkNermm29WxyH1AocddphqOIdGEKSuQkyfPl1dopEv6WgjK+GSk4MNM0lJOpBkJEBcffXVtW5T/XirH6uQ83Ewjrc+qqdoyWclnN1uVzUn4aQeY0/XMzIyWudzxMTA+N/5CJw1HSgPpvGYRwyEtmA9TJe7MmSQmgQzKRYoMhCDUpRBPscVPf2wwYUYxMOF4ESn0ovjRyKykI+uKrgIjUYEAw09Iriw+wzElXpRmmhXgYKt3IOSeCfcNiscgQB0v189k99igT9s5C/OH8CAwmIsapOKrBgb7KaJeH+wTsGjayi16tgZFwPN7Yfp0JEPO5akJGJIQTEWlbpREB8MHsJHKMJ/tluAZydZYLNoLes953PwXPFzdUB/P6jpYbDQxL311lt44oknMHbsWJx99tkqjUca/pIfL3UC4cHD8ccfj59++kn1ip9yyilqVEF6zOT2A0mKfiWgkZ72hQsXqsDh/vvvV0GBFDPLCEao5+7888/HuHHjou5HaiiqC6+/CFfbCMb+Etq/FEzXVpxcPTiQlKO97Y9aHv2EIdC2PQhz9jpo3dOhjegKs6AM+H4VIFObZhdCm9AH1mOGwVi0FZZtebCP6A7fwh3wbC1F2aurYF1dAA/ssKu1md3Q4cZu9IEBK+LgUo19Lyxq3GInIj93fkswzagozlbZUC9zOOCxWVXo4bLZYDEM2H01C5aTvT5sbRuP0hgbVsFEp6JyJLl90D0+5Nrt6JBfhtxEB9oWl8MODVmxMWrbNrkuxJZ44bfocLp98Fst6NzRhsuPjIHEI84YHRM6aWgbx/xgImo6OCVqwzBYaOKkwd+hQwc89dRTEY3RefPm1dhWRhak511SkULBguTJh2YOCo/ot27dWuPx0W6rK+lNkOcP1UtIStINN9ygcvv/+c9/qoBCyGuQGoP96UAUT3bu3Fn9L+dzfx8vtTxaegK0M0ZUXU+JA84MpgqG00d1A+QigXC3VLWKgr/MgPeeeRXrM+tq8TW5VO4LJnKRUrnmgtQh+NUUq0BhsgOuOKsKEpyeANwOwJSG+85sdNyVC2+sAwFdR1bbdMSXlKMgJnKGpKxYB0qcoSBDw/aUOGw3TbTPKoHNL6tFA/5YG0y/gc55Zeox8rzZVgtivBJ8BAMQiy+AM/vacfGImvUYRETUvLFmoYmTnnVpDIf3TEvtwmuvvVZjW6k7kJoAme1ICoBlmtLwwmYhveQyc5LMkCRTsYbv8913323QMUoef3VSmByefiMrK/fs2VOlU4U/b/jzNzRVJzY2dr+n+kgKlQRAMjoi9RjVSaqX5GYS7avkG0bCMToYxEt6kaoxqBAzJA2liK0MFISsySALtHkcFrjiq0YT5I+5w1c10igrNVs9Plik8Z+di15rdiDdVbV2gi3egp+6ZajVlysXdjNNJJd4VKAgwxmFyTEwJNhIcKBQ8ooqkqfa2UzoYX+TOqfouGJy1aQFRETUcnBkoYmT9RRkelSZivPII49U03DKFKnVpxgNkeBApiKVWXmkF/+4446rsY1M+XnNNdfg0ksvVfUMknMoU6dKg70hPfWyL5kOVaYtlTUgpI5C1j+Q/YRmJ5KfZTakq666ShVSn3TSSWpmI2mIS/Ag6yjINKnVZ0OqC5k6VmojPvroI7XuhByL5B2PGjUKDSWvQ2ZdknQqmQFJXoeMyhQUFKhibZkBSlKvZNSHaF9Ykhzo/Pt5cM/bAbPcD8fIDHjmZsLaORH2IW1RNOET4BeZdjVIfjtj4ENpaNrU8H0ZJgK6pv4PBQzqdtPEiOnjcPopnbFjixuu4gDeLnAge37FgtGyvSZBA7DsbzFYt9OGwV2s2OnWkVVqoluijo35aUjx++HQgGF97MgpDGDGAg96d7Rg0tCqYIaIqKliQnDDMFho4i644AI1qiBrLTz66KOqcEh6vaWxLY3YaD360oO/ceNGNWOSNHqrGzFihFroTOb+lylHpXEt+5RRib/+9a9qnYT6kIBDgg1ZU0B696WoV0YSZDGy0GxAQm6TtCR5TinEllEGaeRLI1yChIY27iVAkOlNZepWmRZWevylyHpfggUh51jSp6RuRF6bBEGSliSF4BL0VC/iImooCaadh1XNThZ7fK/Kn+MO74CSsGAhJKZiJqNwPpsVpWnJqsjZWepSowLCmWpH15M7Q7fq6NwrOBI3ar0BzA/bhwkMa6ehS5pVXUS7JOCQdsHOgwFt5N+qGqIO6VZcNZVfIURELZ1msvKSKvzwww+qvkAa3jIVKxE1Pn+BB+unzETZguCK0GogQFUyaChKsSI/Lri4mowo5LdNhreiLsFZXArDaoUtzopj/j0YPSe2jdivYZq49MsAXlseHH1IdwKfn2nFuE7MTiWilmmR9lydtx1pXnVAj6U5YbdQKyTxofS+h48gSAqS9PpLjYSMPBBR02BNcaD//NNRtjAbW+9chLxZmao+wQ4vbFoAXmsCitJS4HXYKldsFpYAMPioNIz99zA44mv+qdc1Da+eYMVt40xklpg4tJOGGCtnLyIiokgMFlohCRQk7UfSjiSlRlKHJI1IFk276KKLKqcKlVWM90bqHSQNqClq7sdPFC5uVFukn9MLBbN2qOteOFBiOmHoFgSsekSgIGJdXvSe2iFqoBCuT5qmLkRELR2nTm0YBgutkBRHy6JpMiNSqEEtQYOkIIXXQUgwsTd33313g4qSD4bmfvxE1bU5rxcKvt6O3Pc3qesdUqzQBybBt64UJamJMC26mtEottSNgad1QvtJkYsfERER1RdrFqhW8+fLVCl7JsXUtS1a1tia+/ET1aZ8fRH8+R7Ej0yHZtGRvTIXn7w1E/7yGEw+ahw6DU9HXGdOZUpEFG6h9nydT8go80qevAocWaBaNffFyJr78RPVxtk7KeJ6St8k6D28qo6hx9QOapV3IiKKxKlTG4bTXhARERERUVQMFoiIiIiIKCqmIRERERFRiydr1FD9cWSBiIiIiIiiYrBARERERERRMVggIiIiIqKoWLNARERERC0eV3BuGI4sEBERERFRVAwWiIiIiIgoKqYhEREREVGLxxWcG4YjC0REREREFBWDBSIiIiIiioppSERELYyv2IsNL6xD4YoCtO1hR+ddG+H5cSV8RS64OneC477T0ea47o19mERE1AwwWCAiakFM08SvZ85GwR95sBk+DChYBAMFSDDL1P2pu7eh4KQ/sfOLe9BhSufGPlwiooOGU6c2DNOQiIhakPwFeSpQEB092Six2RFjuir+3Af/5Kf4C5DzwOxGPlIiImoOGCwQEbUgAXeg8uc8ZwJ2xqcAsIRdKgaUXZ7GO0giImo2GCwQETURLp+Jt1Yb+N8SA1mlDZvkL31UCmJNFwIakJmQhgFF6wFoYVto8CIOzrhY/D979wEeRdX1Afy/Lb0nlIQO0osIKCJSVUAFLIBiRVQEC3axoYCv3ysqFlReKTasKCBSFFFUBFGRDtJ7CQkhvSe7O/M954ZNNskmJAsk2c3/9zwL2dnZmdnZ7Oaeuefcq9uKAgsiotqQhlTRGxVhsEBEVAMkZuvo/Kkdd/yg4cFfNFzwgR1rYysfMBjtdrTI3Y0cfzM6p2xHkF1SkIozwIIGv/+D9A5vQLcyYCAiorIxWCAiqgH+t0XHvpSi+9k2YOIfWrF1NF3Hb0c1/HhIQ769jEAi2B87YzrDX8vDhak7Sk1DJPdSjOHIRCAMe+JgW7j1vLweIiLyDhwNiYioBjiQWrrxvytRO11nACTn6Lhivh1bEgoeaxIC/HqTCc3DSneXZ2p+CLMlwYSiYMNmsCDDNwjHzU1hzwxRy4ywo+Hyw4gY2eX8vTAiohqCMzi7hz0LRETVYE+CHXsTilKA6hntMOg6/PNsCMy1IjQnH1qGFVa7jk1xGv5vVR5SdqahbnoOTJqGI+nApD+L9zw4xMQAKZZQWA0m2GHGKf8ovNFrHBY3G1IYKAgNJsQuTkD6toLRk5zp/8ZCP5R4nl49ERF5CvYsEBFVobQcHdd/lIlVB2zqfv+WZiwaHQScykWLOCtCdA3NUrNVeV2mjwn1XolA8+NJGL7jAB62a7AZDdhfry6Wt2uELQkBLvfR3XwY2bHxyNajkY9gIMeAGzasxb7QhqXWtafZ8FvvHxHWMhCX/jgIPnm5sA1+F9h8TD1uGNYFpi/vhcGHfy6IiGoj9iwQncGePXswa9YsnDhxokLLicrz35U5BYHC6eyhX/fZ8OKPOdi+Mw+5AWY0Px0oiKB8O7odS8L1Ow/CrBV0oMv/LeMT0ONIErqH22HNL1HXYNehHc6Ej6YhH9KLULC18OwsNM48WeJodOQaTYDBgNT92dj10hbYn/m2MFBQayzcBG32ar6pRES1FIMFojPYu3cv5syZUyooKGs5UXl+P2QDgn2B8AAgIgAIsGD6n1bEZQFheQW9DQ4SHgTm2fF3qxZY06o5jkTKnAmASdfRPjYe4bP/xWvDNuL3L+PUcm2nP2ZfsRq2I2kq/aikyKx0BBgzYYAd/shFMHIQoWUiMjdDPX784/2wfrGx1PP0tQf4phKRx+PQqe5hsEBURex2O3Jzc3m+a7kMkw8gKT0GQ8HN3wfwNQO6jowSqT75RiOs5oJldpMJB+rVQXKAvwoiLLqGsNw8mZwBa76KR87hUOStrYt8mKDDqEYKL8lHsyJGO4lwpMN8uvhZ1o7OTUOALQ/+9jwYteIBi8jMYQoSEVFtZdB1ncXhRGWQNCPpPShp8ODBWLZsmcvlkydPxtKlSzFlyhTMmDED27dvV/fj4+MxceJEDBkyhOe7Cslwo5PXapi1rWCanQcvMmLipQYYpKFeQYv2aXh+jYajGcCQFga8d4URkf7uTdoT/XY+4rOKL5NDaZWWCWOeHeF2O2IyC2ZXzjEaCx50UicjE2FWG4yahsDcXISmpsGkSw9EFq449AeapJ+AHT5IQX0Y1fWggmtC8kV/HFGww4gIZCMcsQjFSXWlLQkx2GtoiRyDP+rpCWijHyh2JSkbAfAzZMEU7oN831Dkppvh07shAvNOwPDXbqBDY+DN0cDlbd06J0REVWG14cMKr9tbv+e8Hosn4eUionL0798fiYmJWLRoEUaPHo1mzZqp5fXq1YPFYim1vGHD4gWk06dPh81mww033IDAwEA0adKE57uKvbdZx3/+Lrom8uJaDfUCjLjvwoo19ncn6RixRINjWoN5u3Xk2jQsur5gSNPK0DQdaTlaqU5d3QjsqROCdidScQQWxIVbEJBvR/08K/xKXs8xGqEbDKqnIT0gAIGZ2TDZbLj2wK+IySwYV9WEXEQiFtmoo3oZZAtGaKiLFBxBAwThMCIQW7jJejiCUwhHlqEp4gzRyNCCcIm+tbB2QoMPcnQzQpJPwQ+ZsCEcfst/VXNBK+v3A9e8DBydDYQFVvq8EBFVBc7M7B4GC0TlaNmyJTp16qSCgu7du6Nbt26Fj0mtgqvlziTt6Msvv4Sfnx/PczVZsLf08KIL9uq478KKPX/Rfr0wUHBYckBXk6L5mCrXu7AtXkNOtgb4nk5BEqcLl+XbODYiAE1j05FiMSNDggKLGU3yrYWhha/NhuB8a9EGDQbk+PkiPDm9MFBwsMNXNfYNTnMthCBD3fdFWqljq6+fwHE0VT9nGoORZfdHEHKQD1/YYSk4VNVXIc/PhNkRKDhk5AArNgM3X16pc0JERDUbaxaIzqPhw4fXuEAhOTkZeXkFaS4iMzMTGRkFBa4iPz8fSUnFx92Pi4sr976kWDlnNNakfdR1kS5UN6Di+4jwKZ3DH+EHmI2Vfx11Ag0waBqQYwPy7YAUNOfagNNBh8Wmw9dgQITdjhC7htQQP6xqFoW4IB/UzcpGg4ysUl/aMueC1WSBVUY1cuIcJDjYTtcz5KP072Sewafojq6rVKZMhCJHhl5VtMI6CCmedpW/mh8WUGt+r7gPniv+Xp27zwfVbKxZIDoDR/3BzJkzi/UglLXc+bG3334bl1/OK63VaX2cjj5f21X7XARagD9uMaFz3Yr1CmTl67j4czt2JRcte6e/EeO7VP5ai03T4ftyLrQ8p4a8RB3BFhg1Ha1OZiA0p6jnYGtMKHJ9TBi0Pw4tU7JUI97o1LC1WK2ITkhUAcSlxzfi0tjNhY/lIgB5CD+dhFTgCKKRiAgEIg1d8GfhDM92mPC3sTcyDKHqfj0tEY31UyqwcPBHGvyRoXoXMhEJPyTDD6lFr6NvB+DXKaVqLIiIaopVho8qvG5f/e7zeiyehGlIROdRTetVqI0ujjZg6ygTPtuhwWgA7mxvRPOwijdoA30M+Os2E+bu0HE0XceQFkb0aeReg1ieFRBqRmaWBth0BNusCLXZEG2zIi5Dh7VEWpMjMLBLobPaQEF/gcz0bDcYkOnjA78Af4Rl5+DPRl1xNDQanY7vQ3BmPkI1qaK24bCxIcywI9kQinRjEEx2DQYtFJvRC3VP1y2cQj2E6SnQdBOC9RxEIR3Z8EU+fApKpAMMCOobA3SNhs03GD7JeTBd3RrISgFW/VtQ4HxbbwYKREReiMEC0RmUNWpOZUbToerVMtyAly6vfEGyQ6ivAQ93Ofv322Q04NGuRrz8twHwATJgRmAgsPwuExr8zwZLjg0RmfmF1/Oj03NxoE4QttUNRcvkDDXqkQoYDAZYTUZV7JwaHoqwSF8YWxzGri1tsKtha9y9ajEs+TYcN0Yj0RiKRtohNNQTEa81QLIxUvVi5CIQR9Gq8Niy9DD4IB9NzLHYr7WSrCPFYDai9U9D4NczWt0vFf5ed8lZnxciIqq5GCwQnYG/v7/6Pz09vULLicrzUk8jWobrWHpAR+Ng4JGuBcOwSuyZ6WfBzphQ1M3IVb0KEbn5aL0vDnsjg7Ghfjg6nkpHUG6eqnvQzWbUDzGge89AXDy0KRYt3wRToBX1k1rDuM4AqT826VZcZvsNvijIwW+Cg9hm7IJ01Cuc2dnBJGXMFgPC/hqP1pm+SPxwNwxmA+qMbYeg7rI+ERHVRgwWiM6gffv2MBqN+Oijj1RgIEFCgwYNylzeoUMHnlMqk/RI3dlebsWXB+VZkWvxQZafGYf8gtQoSW12xaJRdh4ap+cUrKTr0CUlyWhEoL8Rj027AGGRFlitBXUOvvUycP0zHbF9w3ZErf0LDfUjhYGCwwXaHuxCGHKK9RHoapK2OuM7wdC1GUJk5KQ+MXwXicircOhU9zBYIDqD+vXr48UXX8TcuXMxdepUNW+CY/I1V8sZLJA7AtJz4WvSYPM3w2DX4ZuRhzh/H1zS1AxLrg2RURaEhRhwfH8uwiLNuGp4HRUouHIkuD4CjfVxgba31GMGox26r4bgnGzkwqL6F/zaRyDq9laIfrKC48kSEVGtwdGQiIhqgCe+ycSHa4t6AaQYe+VjoejS5MzXdKRn4eOPP1Y/yySBG4avRsbSY+ij/wIfZBVLONoR0ho7gzqg64ljyIcFPkEGNM94/Ly8JiKimuQ3Q8H3ZEX000ef12PxJOxZICKqAV6+PhBmkwHfbclDVJAREwb6VyhQcCUw2IJ0gxHxemPkBOmolxcHXy0fhwKbYGN4Zxh0wAqzSlGq075obgQiIm/man4YOjMGC0RENYC/jwGvDgtUt7MVFFjwJzHeUB917SfxXcPBxR4Pz8hBIDIQjlRYhg096/0REZH34gzOREReJtjfjnAtE+mGIOTn+KNT8n742K1qfoawrBzEJGfCD9kw3nsZLI/1re7DJSKiGozBAhGRl/Hv0xARyEIr7SgaYT+QFoQ2R5PQ/vApNE7IgEWz40T9NvCfczMMZvfnnyAiIu/HYIGIyMsEXt8SoY90hdUShGxEoCEOwAitYDZm2BGIHER2kgFSiYhq19CpFb1REQYLREReOJdDnbf7o1ncAwjZNxGG63sgAikIQQZCkAWzBAxXNq7uwyQiIg/AYIGIyEuZIv3hc0E4wt+4Cobm9WA6fb3Mr29jhDxwUXUfHhEReQCOhkRE5OUszcPQaM8Y5K49DmOQD3y71q/uQyIiqnJML3IPgwUiolrAYDbCvw9Tj4iIqHKYhkRERERERC6xZ4GIiIiIvJ5W3QfgodizQERERERELjFYICIiIiIilxgsEBERERGRS6xZICIiIiKvpxs5M7M72LNAREREREQuMVggIiIiIiKXmIZERERERF5PZxaSWxgsEBF5uYQsHbO26TieoWNoCwOubcFOZSIiqhgGC0REXiw1V0f3L+w4nF5wf/Y2Ha/3AZ68mAEDERGdGf9aEBF5sa9264WBgsPUfzToul5dh0REVG2jIVX0RkXYs0BE5GH+jbdj1rp82DOsuHnnYYQfTkEIjEi/XCu2XnyWjnc2FV8mknOACz+xo1cjAyZcbESTUP5hJCIi1xgsEBF5kC0n7Ljsf1nIsQJvfrka1uNJSAAQBQv89tiBMQXrpeXpaPOhHWn5pbchfQrbk+Sm4+vddmy7y4SYIAYMRERUGtOQiIg8yLtr81Wg0DY2CR2PJxV7LGiTCTkHM9XPX+7SXAYKJSXlAh//y5QkIiJyjT0LRESe4kA8bvxwMW7YkwAtOxSaIRRHm9XBXxdEY3t4MCJTMvHcUSt6tQZ2JVY8AHjtHw3BFh0PdTHCaGAPAxF5J52XyN3CYIGIyBOcSAYumYBrkwt6DsSqhr2wsGcv/BgVXrAgJhK/rAC+a2LDjC0V33R6PvDIbzoOpGmY3t90Hg6eiIg8FWMsqhXuu+8+DBkypLoPg8h9n/wKOAUKonPiFmwJDiy2zKoBT6y0oXRZ85nN3KIj28qUJCIiKsJggarcnj17MGvWLJw4ccLrzv62bdvw+OOP44orrsBll12GoUOH4rnnnoPVaq3uQyMPZ9spZczFheZmYP//JuCfL6ZhYNxBmEN9gHqB2J3lXu9AvgY8/psdGfkMGIjI++gmQ4VvVITBAlW5vXv3Ys6cOVUaLMyYMQMLFy48r/tYsmQJ7r33XqSmpmL06NGYMGGCChbS0tJgt9vP677Ju+Wt2I9f1+iwGosHAfLnLBAZuDhhF75YMh2R9hzAZATOou5g1jZgwHz+vhIRUQHWLFCtYLFYzuv2Dx48iFdeeUWlOk2cOBEGFonSOZT93jp8c9Fl2NKkDiasmedyncjsTNy2eQ3e7HP26XZ/xwFbE3RcWJdX14iIajsGC1SlJP1IehXEuHHjCpcPHjwYkydPVlflZZ3Vq1cjKSkJkZGR6N27N8aOHYuwsLDC9ZcuXYopU6aoHoMtW7ao+7J+kyZN1FX9gQMHlqpZiIuLU+s5O3bsGD766COsW7cOycnJah/t2rXDmDFj0LZt2wq/rs8++0zNiPvwww+rQCEnJ0cFKGYzP2JUebrNjtx3/oJ93j/wO7YXoUmpaNPNjG31mmPctY9hyK6/cc3Bv1TPgsOvjdtiWYMOMsEC4GcGfM+uUPnSL+wI9yvYVI9o4PlLTWgXxeCBiKi2YUuGqlT//v2RmJiIRYsWqUZ9s2bN1PKGDRsiMzMTd999t2rAS/pOmzZtVH3DggULsH79esydOxeBgcWLOd99913VMB8+fLi6L8HA888/j/z8/DMWNO/cuRP3338/bDYbrrvuOrRo0QLp6enYtGkTtm7dWqlg4c8//0TTpk3Vc6dPn47jx4+rQOGSSy7Bk08+icaNG7t1vqh2ynpoKWyz1iAUh1RAsL1OM3xxYW/YTAUBwNqmrdHqy2NomXK8MFC46qanoBmNQL694BbiA/i6/xWfawfisgp+PpQGfH/Ijn/vMqFhMAMGIvJMmpHfX+5gsEBVqmXLlujUqZMKFrp3745u3boVPia9BEePHsXTTz+NESNGFC5v1aoVXnvtNXz66aeqce9MeiLmzZuHoKAgdV+ChpEjR+Ktt97CVVddBT8/P5fHIb0A0pMhhccShMhxOUgQo2kVH0tGghzp1ZCg45lnnsFNN92ELl26YN++ffjkk09UHcOXX36JqKioSp0rqp307HzkfbwRAUgt7DmY375vYaDgMLH/Xfh64ctICAjF5MtvKAgUnOXYzipYKEk6LD7fqeOZ7vxjS0RUm7DAmWqMVatWITw8HDfccEOx5TfeeKNa/ttvv5V6jgQHjkBByM/Dhg1TPQQbN24sc1/SYyF1BtL74BwoOBhLNrzKkZVVcPlVCplHjRqFJ554Av369VOpT88++6xKb5JgoaaQ48nLyysW7GRkZBTel14ZCX6cSQpXeffj4+NVAMZ9nINzlZEJaMVHI7IbSv8+Ws0FdTiL2l2OfVFNSr/Rsg0Z3qjEts6G3WlTfM+L8PNRgN8l/Hy4+/eDajb2LFCNIaMjSepPyTx/uS9pPLt37y71HEn9KcmR2hQbG1vmviTVSbRu3fqsj9vX17fw55KpT1dffTVefvnlcgOXqhYREVHsvnOwJXx8fFStiLPo6Ohy79evX5/7OEfnKrheBDJv64y8udnwQ4rqXRi2azW+b9MVdqcgdti/f0GDARsadUHvk0n4pnF08VGQzKaC1r3cfI3AWXa/B1qA29oWbYPvednvMT8fBfhdUvbnnN+7KPO75HziDM7uYbBAdJZCQ0NVulNubm6pRrYEOlI07XzlnuhMAmddj5zm4cj6+m/4xx3ARVnH8d5vH+PzFpcj2+KLobv/wbDdv8IOExqn5yLHHxh+LB4bI0KhGYAQu4btMU6/ixIwVDBY8DECNg0wG4EAM+BvAS6uD7zYw4SmoUxBIiKqbRgsUJUra1jRBg0a4MiRIyr337l3Qe5LLYM8XtLhw4dLLTt06FDh9sriKDiWOR/OxeuREZSkuDkhIaFYb4d0yaakpKgCbqIK/075mhHw4hWA3E67/KVvcPmkt0quCbO07KUeKDNb3cSGehHYLj9IR4S0+ivYxpfgIOtR/lkgIqIirFmgKufv76/+l7oCZ3369FEN6++++67Ycrkvy6UOoCQZKUnyZB3kZ5l8LTg4GF27di3zGKRounnz5moitQMHDpR63DmnvCKuueaawuNx9u2336pi6Z49e1Zqe0Sl3NEHCCpesJ+G+mh9JLbU7+7WqLCCb3fpJpCZSCvYqzCuE887EXkv3Wio8I2K8BISVbn27durAmKZ30ACBgkepBdAioN/+eUXNfKRFCBLPYH8v3jxYjV/wp133llqW5LiI89z1ArI0KlSLCUTo5U1EpKjN2DSpEl44IEH1PMdQ6dKupD0EPTo0UONqlRRsv/vv/9ejcwkIzR17txZBSESLEhQUpltEbnUrB7wx/8ht980ICUDOQjDMb8Y2PMy0XLvIaRGhMFs1RCWnoEmjaOQEOZf6ZmcR3c8u7kZiIjI+xj0yl5CJToHli1bpoYslUJjSTNyTMomPQglJ2WTHoczTcomPQQyqoykF8nQp4MGDarQpGySxvThhx/in3/+UaMZyT4kmJFJ2WSeh8qQ+R4++OAD/PTTTzh16pQawalv375quNeQkJCzPGNEBRIv/QDWdbEwwI4IxJXOMFo4Dg8GdcacbZX/at812oQ2kbyiRkTeaXF4xUcmvC7l1vN6LJ6EwQJ5JEewMHPmzGJzNRB5u+zPtyHtjkXq52AkwRc5hY+l1fFF6KHXsS3DT83AbKtEvNCpDrB1FDubich7eXuwEBsbqy62Sv2kDCMv9ZJ2u11dDJXBWEwl5uupKP5lICLyIAG3d4Ix2AeZH23BtiwD4k0aWqXEIyskDXsHRmGkjxld6xuw5hYTJv1pxx/HgWxb6e2E+gBWDfA1Adc2N+D9q1jCRkTeTffSjlNd19UcT++9957K1pBU644dO6pgQWo5ZeCVl156CY8++qhb22ewQFQG+YDJcKjlsVgsKlonqkp+17VRN8ec4DIT+ccff1xsnUtjDFgx3IxPd2gYtbz4jOQSIMSOMyHQx0v/chIR1SKvv/46pk+fjqeffhpXXHEFrrrqqsLHpI0ik9vK4C8MFojOsWnTpqnaivJ06dIFs2fP5rmnGuvGlga88Adw1Gmqj3s7GhgoEBF5iTlz5qhBYP773/+WmkFbdOrUCcuXL3d7++xZII8kow+VnC35XJMPnszAXB4WLlNNF+RjwF+3mfDWBg37U4FBzQwY04k9CkRU+3jrkKjHjh3DZZddVubjgYGBpYarrwwGC0RlkCFP5Ubk6WKCDHi9L4dFJSLyRnXr1lUBQ1k2btxYOBmtO1jRRkRERETkoW688UY1OuTBgwcLl0mRs5Dh3D/55BOMGDHC7e0zWCAiIiIi8lBTpkxBdHS0mhBWUqglUHj11Vdx+eWXq3RqqVl47rnn3N4+gwUiIiIi8nqaoeI3TxIaGoq///4bEyZMUHMt+Pn54ffff0dqaiomTZqENWvWICAgwO3ts2aBiIiIiMiD+fv7Y+LEiep2rrFngYiIiIiIXGLPAhERERF5PW8dOvXuu+8+4zpSx/Dhhx+6tX0GC0REREREHurXX38tHP3IwW63Iy4uTv1fp04dNdeCuxgsEBERERF5qMOHD7tcbrVaMWvWLLz99tv4+eef3d4+axaIiIiIyOvphorfvIHFYsFDDz2EAQMGqP/dxWCBiIiIiMhLXXjhhVi9erXbz2ewQERERETkpX7++WfOs0BEREREVBu99NJLLpfLpGzSo7Bp0yY888wzbm+fBc5ERERE5PX0EiMGeYvJkye7XB4eHo4WLVpg5syZGDNmjNvbZ7BAROQhcm06vj+oIzlXB3SgYbABA5p65x8/IiKqGE3TcD4xWCAi8gCxGTp6zbPjUJrzUh3do4EVN1TfcRERkXdjsEBE5AFeW6+VCBQKrIsDPtsF+FTHQREReRDNSzpijx496tbzGjdu7NbzGCwQEXmAXUl6mY8t/deGYVV6NEREVF2aNm1aasbmipDZnN3BYIGIqIbLserYFa+VOdr1T6csyEi9Anc1/qXKj42IiKrWRx995Faw4C4GC0RENdwXu3T4Hc1CnQALTgX5FiyUPxS6XvC/pCOFNMaQnODqPVAiohpMN3pHHtJdd91VpfvjpGxERDXc3hQdvjY7/PLtCM6xom5aNhompSMyI6cgYLBr0IwGrMlpA6t7vcxEREQusWeBiKiGC9Ks2BUdAs1YcH0nI8DH5WWf5eaO6DNfx5+36rCYvOMKGhERVczatWvVBGxpaWmlhlOVtKUXXngB7mCwQERUw326LgeauZwUI6fc1Q0nDfh2n46b2zBYICKqDZKTk3Httdfin3/+ga7rKjCQ/4Xj57MJFpiGRLXCfffdhyFDhlT3YRBVysZ4O5rNtuGEzQcjNm/HpBUrUD8t44zP+26fBptW9uhJRES1kW6o+M2TPPXUU9i2bRu+/PJLHDx4UAUHK1aswN69ezFu3Dh07twZJ06ccHv7DBaoyu3ZswezZs06q1/cmmbp0qXo1q2by9urr75a3YdHHmj+bju6fa4jKSEfj67Zjm7HMxCQH4xHV29D06T0cp87bw8waIEG7fSVJSIi8l4//PADxo4di5tvvhnBwQW90EajERdccAFmzJihhlp99NFH3d4+05CoykmkO2fOHHTt2hUxMTFVsk/5sDi65M6n0aNHo1mzZsWWNWnS5Lzvl7zP/T8X/L72PBSHsNz8wuUGGDBiyy683v+SYulHJf1yVMeKQzqubu5hl8iIiKhSUlNT0b59e/VzUFCQ+j8zM7Pw8QEDBuC5556DuxgsUK1gsViqZD/du3dXvQlElbXqqKYa+Keydfy4147kHINcGkJYTl6pdVsmJqJeegpOhkaUu833V2XgQGowbmtnQLgfgwYiqt30KpyboCrJhdf4+Hj1s6+vL+rWrYutW7fiuuuuU8tiY2PPal4GBgtUpST9SHoVhOTROQwePBiTJ09W0bGss3r1aiQlJSEyMhK9e/dW3WthYWHF0n6mTJmiegy2bNmi7sv6chVfru4PHDiwVM1CXFycWs/ZsWPH1OQm69atUwVCso927dphzJgxaNu2rVuvMSsrCz4+PlUWoJDn+89fGl5c6zxyhakwSXR33XBcFJtYbP06WfFICC76PLik61iaHIilv2p4fT2w/nYT6gZ65x9KIqLarHfv3vj555/x/PPPq/uSjvTaa6/BZDKpUZHefvvtUu2iymCwQFWqf//+SExMxKJFi4ql7DRs2FB1md19992qAT906FC0adNG1TcsWLAA69evx9y5cxEYGFhse++++y5ycnIwfPhwdV+CAfmw5Ofnn7GgeefOnbj//vths9lU9N2iRQukp6erYcckIncnWHjiiSdUsCARvOQK3nHHHbjmmmsqvR2qPTLydbyyrvgQd862NKyDupk56HXwBHxsNkRnxOL/rugD/fQwqmVyuop0NAOYtU3HCz0YLBAReZvHH39cBQt5eXmqZ0Euvu7YsaNw9CMJJqS95C4WOFOVatmyJTp16lSYsiMNabnJMgkGjh49igkTJqhf8BEjRmDixImqyv/w4cP49NNPS21PeiLkeTKbodzk5/r16+Ott95Cbm5umcch9QvyYbJarfjkk0/UPocNG6YCGPlA3XTTTZV6XX5+fhg0aBAee+wxvPnmmypokA/tiy++iNmzZ6MmkR4UOTYHCdIyMopG2JFAS3ppnEmvTHn3pfvTuSaE+6j4uToUn4ocW/nv2U9tGmPSoO74z4CuuPO2m7GhyQWorKNpRTvhe87fXX7O+X1Vk77b6ex07NhRBQwSKIjw8HCsXLlSvV8y58KqVasQHR3t9vYNelVUfRI5caQQzZw5s1h+vwQH0vhfvnw5zOaiTi+58n/11VerX/5vvvmm2DYeeuihUtOef/zxxyo9afr06ejZs6fLNKTdu3fj9ttvVwHCs88+e17eH/nSlJ4FCXSkJ6WqirnJ81z0qQ1bEiq2rsWuwWqq/HWeH2404urmvD5ERLXXZ03mV3jdO46MgKfYuXOnSqE+X/iXg2oMGUpVag6cAwUh9xs3bqwKdEqS4cBKcqQ2uVrfQVKdROvWrXG+SN2CBAt2ux1///33edsPeb4FQ03o16ggRcgIXdUbKPK/TKaj6fCz2tEtNhlXHkhARHbR6EhlicpIg0Wzo46vhjf7MlAgIvJWHTp0UBka//3vf7F///5zvn3WLBCdR45uP+kxISpLizADfr3ZpOZFMBoM6v/5u+wY+YNBun9xy/ZjUvKMJH8LDocFomF6NkJz8nAosuxZnScNDcMDXYxqe0RE5L3ef/99lXkhqc+Sxi2TsI0cOVKlVJ+L4dvZs0BVrqzhuxo0aIAjR46otCNncl9qGeTxkiTFp6RDhw4Vbq8s0lPhmPPhfHL0YERElD/EJZFwNOzl/2FtTLAYC4b6OxHij+PBfljesj521g3BtvphOBxRMJa2K2YDMOQCBgpERM7k+7SiN08yduxY/PLLLyqjQlKwZTCYZ555Bs2bN0ePHj3UMs7gTB7F399f/S8jDznr06cPUlJS8N133xVbLvdleb9+/UptS0ZKcp54RH5euHChmsFQJn0rS6tWrdSHaMmSJThw4ECpxytbyuOq50CORQquZQhV+bASVYbZaMDi640I8QH+ahSBjTHhxf6Aufxjdvr3dlgroEmoZ/2xIyKis1OvXj1VyynDz8tF1jfeeENdoJVBV86mh4FpSFTlZJZBmYZc5jeQgEGCB+kFGDVqlIqMZWxgGTJV6gnk/8WLF6tf8jvvvLPUtmReBHmeY5hUKWCWkRVkFCUZoags8uGZNGkSHnjgAfV8x9CpMqqDDJ0qjXvpwqsoWbdLly5quFTpRZAIXgIRGSZWpliXDzBRZUlBctrDRpjfAPLMkohUXGRmDvoeOIHY0EBsaFQXttOFz5yAjYiodouOjlbtLRkG/t9//1XDuruLwQJVORnaVPLq5Kr71KlTVZqRY1K2Dz/8sHBSNmlsy6RsMmKRdLGVnGNBjB8/Xk3KNn/+fDVEmKQXvfzyy2oY0zORD5Ecg+xThhiTHgkJPmS55PtVhkx2snHjRjW5m/QoyHTrsh0JSNirQGerd0Pgt4KMtmKG7DyMNgmpuPgY0D4+GR9eWjAaxojW7FUgIipJ9/KvRl3X1TCpX3/9tRqFUS5YykiSckFTJmpzF4dOJa8afpXIG2Xl62g6247E01OHGDUNQ/89jEuPniy23ue9muHhYfUwpjNnDyciKmluswUVPimjDhVM9uoJ1qxZowqcJTU7ISEBISEhuP7661WAcOWVV5YaZbKy2LNARFTDBfoYMKqDAW9sKKhJiE7PLhUoiLtMa3FX+xur4QiJiKi6SM2nZDRISrYECJJdIcO3nysMFojKIOlE5c0CLaR4OTQ0lOeQzrubWxvx1kY7NB04ERqIhCB/1M3MKXw829eImHrFBw0gIiLvN3/+fFx77bXl1mqeDQYLRGWYNm0ali1bVu75kaLm2bNn8xzSeXdxtAFfXmvArd/r0GDAJxe3wbU7D6NxSiay6wagQYd/YTBVbhQvIqLaRPOwIVErSmo7zyfWLBCV4eDBgzh16lS550fyAmWkAaKqkGfTEfSOHTat+PKpl+sI3/ax+nn06NGqx4uIiIr7uPnCCp+S0QfPbwPck7BngagMMg+D3IhqCl+zAcNbGTBvd1EPgp8ZuLEl8Nu2aj00IiLyUgwWiIg8yJwBRkT5a1h2QEfjEOClniY0DSk+6zkREdW+oVPPFwYLREQeJMjHgHevMOHdK4qWWa3VeUREROTNCqb7JCIiIiIiKoHBAhERERF5Pd1gqPDN06Snp2Pq1KkYOHAgLrroIvzzzz9qeXJyMt58803s37/f7W0zDYmIiIiIyEMdP35cTcx27NgxtGzZErt371ZzRYmIiAjMmjULR44cwfTp093aPoMFIiIiIiIP9dRTTyEjIwNbtmxB3bp11c3Z9ddff8Z5o8rDNCQiIiIiIg/1008/4eGHH0a7du1gcJFCJcPAS6+Du9izQERERERezxNrESoiJycHderUKfNx6XU4G+xZICIiIiLyUO3atcPq1avLfPy7775TRc/uYrBAREREROShHn30UcybNw+vvvoq0tLS1DJN09QISHfccQf++usvPPbYY25vn2lIREREROT1vHUG59tvv12NdjRx4kQ8//zzatmgQYOg6zqMRiP++9//qiJndzFYICLycpr8wfDSXF0iIoIKEqQXYeHChapHQXoWWrRogRtvvFEVOJ8NBgtERF7qZJaOMT9p+P6gjgZBwP9dbsQd7Zl9SkTkLbKzs9GrVy+MGTMG48aNO6t0o7LwrwYRkZe6Z4WGpQd0aDpwLAMYtVzD1gS9ug+LiIjOkYCAABw6dMjlkKnnCoMFIiIvZLXrqkfBmdyT4IGIqDbSjYYK3zzJoEGDsGLFivO2fQYLREReyGwEfE2llwdZGCwQEXmTF154AXv37lU1C3/88QdiY2ORnJxc6uYu1iwQEXkwu6Zj+gZgdtrVCDNmo0sC0K0BkJoH5NtLr2/iJSIiIq/Svn179f/OnTvx5Zdflrme3e7ij0IFMFggIvJgz6zSMG2d/FRf3e/3FbBjjI6oAEB60u0lOhICLdVymERE1c5bZ3B+8cUXz2vNAoMFIiIPNnOTvaALwaapboNM3YQvd2oY1rp0oCAy8pmGRETkTSZPnnxet88OaSIiD5aXaQVybQXBQp4NyMpX8yp0+cx1UPDfvwvmXSAiIqoI9iwQEXmoE+karHla0QKpaDYaMO/PbGQiwOVzEnKAK76xY9F1JoT5eWeXPBGRK542ylFFvfTSS2dcR9KUpBDaHQZd5oIm8nL33Xcf4uLisHTp0uo+FKJzZl+ihlZvZBXcCfUtGAKpgoIswJH7TIjw984/nkREJc1sv6TCJ2XcjqEecwKNRmO5QYI09eV/FjiTx9izZw9WrVqFIUOGICYmBt5g2bJl+PHHH3Hw4EGkpqaqSVIaNWqkplm/5pprYDK5GMOSqJJyrDqWbMlB6rrDSLcZsTW8PlpmJmFfRHRhoFA3IxsJwa57FZxJ9lLPL+14pZcB17fi7ycRkafSNM3lsiNHjmDGjBlYvXo1li9f7vb22bNAVU6u7k+ZMgUzZ85Et27dqmSfVqtVRdY+Pj7nZfvTpk1DUlISWrVqhfDwcOTk5KixjtetW4ehQ4eqkQqIzkZcho6e72fhUKYRMBmAALNcMip4UKZoNhpww/ZDMGsa5l/YolLb7t8I+OVmZqUSkXfz1p6FM7nttttUG6i8YVXLw78OVCtYLOd3vMgnn3yy1LJbbrkFjzzyiAqOHnjgAURFRZ3XYyDvpWk6Hvs+D4czDKiTm4eUiADYnIfJMxoQmpWLbsdPIctihsVmh9Vc8d6CX48B3+zWcFMbjnlBRF7MS4dOPZPevXvj6aefhrsYLFCVmjVrFubMmaN+HjduXOHywYMHq6G/JIVH1pEuM7lSHxkZqX7Jx44di7CwsFK9E9K9tmXLFnVf1m/SpAlGjx6NgQMHVqhm4dixY/joo49UD4DMbij7aNeuHcaMGYO2bdue9euNjo5W0XxmZiaDBXJLXJqGK9/PwOFkHVcmZyLVbMapukGl1jOdLj8LtNpw+6Z9+KFtYyQE+cNi15BfgcDh5mUaNp7U8WofpiQREXmTDRs2lFvXcCYMFqhK9e/fH4mJiVi0aJFq1Ddr1kwtb9iwoWpQ33333aoBL6k7bdq0UfUNCxYswPr16zF37lwEBgYW2967776rUn6GDx+u7ksw8PzzzyM/P1/VRJRHZjq8//77YbPZcN1116FFixZIT0/Hpk2bsHXrVreCBXkNsj3Zzl9//YUlS5agcePGqn6ByB1TVuRg50k7LsnORY7JiKQgX5dXx1L9fZAQ4Ie62bm4ICkdD//xL9J9LXi9b+cK7+u19Tpubavjwrq18+obEZEn+vTTT10ulwuwcvH122+/xb333uv29tnnTFWqZcuW6NSpk/q5e/fuqvhXbrJMgoGjR49iwoQJanivESNGYOLEiXjqqadw+PBhlx8G+SDI8+666y51k5/r16+Pt956C7m5uWUeh1ztl54MqWX45JNP1D6HDRumAhgJQG666Sa3Xp8EH1deeaUqbJY6hosuugjvvPNOjSpwlh6UvLy8YgFORkZG4X0JtKSXxpn0ypR3Pz4+Xp1T7uPcn6uNx6zq/3CrHflGI7JleFQXNJMJ0/t0wvs92qlUpCR/X3x10QXQKjlU4KaTBcfG99z1+8HPBz/n/Hyc+78fVTl0akVvnuSu022gkrdHH31UBQvPPPOMaou4iwXOVGMKnCU4kMa/VOybzUWdXnKl/uqrr1aFw998802xbTz00EPqA+Hs448/VulJ06dPR8+ePV2mIe3evRu33367ChCeffbZc/ba/v33X2RlZaneEylwloagfFjPRUoT1U4Pf5uFd9fkoVtWLvxlboUQPxyoH1Luc1TNgsnoVn7ujrtMaBflWX8oiYgq4v1Oyyp8ou7fNthjTuqRI0dKLZOhUqXdFBwcfNbbZxoS1RgnTpxQjWrnQEHIfUnlkQZ+SU2bNi21zJHaFBsbW+a+JNVJtG7dGudShw4dCn++9tpr8d5776n6h3nz5qlUK6LKenGAP/4+YsP2wz64LDMHUZl5SMnIRXIZ6UiiMsXNDrKl/1xuZKBARORhDAYD6tSpA39/uaRUmqRrnzp1SrWl3ME0JKLzSAq3JR2Kk8GRu6KCjPjnsVD8NSEM01+OxuDBITDla2h+PAmd95cdEKMS8212iATi7jfh+Uv5J4GIyNM0a9ZM1YKWReonHRdS3cGeBaqWCNiVBg0aqK40STsqmYYktQzyeElSy1DSoUOHCrdXFkd0vXfvXpxPjroJKXgmOhudGxR8JpoNMOH7U1b8HeuLe37fAqsfsKNhg9KBQgVTkEJ9gLnXmFAvkKlHROTddC8dOlU/w8Uhqc88m9GQeBmJqpyjm6xkA7pPnz5ISUnBd999V2y53Jfl/fr1K7UtGSlJCqwc5OeFCxeqHL2uXbuWeQwyeVrz5s1VtH3gwIFKf/CcSTAjtRaufP3116XSk4jORqCPAWvvsmDlbRb0faMbjgUXDSmsVPB3N8JXx6dXG3FsnAld6nnnH1AiIm+Vnp6uLqTKTUhhueO+823btm0qFVqGcncXexaoyrVv315FuDK/gfyyS/AgvQCjRo3CL7/8gtdee00NmSr1BPL/4sWL1fwJd955Z6ltybwI8jzHMKmS7iMjK8goSn5+fuX2bkyaNElNlibPdwydKqM6yNCpPXr0wMiRIyv0eiQXUOoT+vbtq7YRERGhPrS///67Gp71kksuwaBBg87ijBEVZzQYcEUzA+yajlE/BZT85T79gwQNroMAMzR8OMiM61vyehERkSd666238NJLLxW2aWQwFbm5IhdAX375Zbf3xWCBqpwMbfriiy+qYU6nTp2qrsw7JmX78MMPCydlk6v+MimbjFgkk7KVnGNBjB8/Xk3KNn/+fDXykKQXyQeiIo1zCVrkGGSfK1euVD0SEnzI8s6dKz42vQQlMpKTBBl///236t0ICAhQPRcyJKsMo1qThk4l72EyGhDhb0BiTvHlN7Y0YNKFGq6fmYZDUUU9DwZNw71BKXhyZF20imBvAhHVLrrBey6QDBgwAEFBQSoQkLbGLbfcgi5duhRbR4IIaTtJpoXz6JOVxaFTyauGXyWqbd7eqOGx37TC+81CdGweZUaorwEhr+chw1A8UJ3Y3YD/9GLwSkS1z4zOyyu87oNbroanmDJlirqwer5SntmzQETkwR7takTLUDte/343wo1Z+N/IripQELqPCSiY061QfsXLcYiIyANIWvX5xGCBqAySTlTeLNDCYrEgNDSU55Cq1YAmQKz/X+rnKP+iwn67i8DAzOwjIqqlPG1m5spau3atSolOS0uDphX1ODtSkl544QW4g8ECURmmTZuGZcvKn+1R8gNnz57Nc0g1kq343wrFwgwkIiKvkpycrAZa+eeff1QNgwQGjlEdHT8zWKBaR0Y/coyAdL7I6EtXX11+zmJISMh5PQYid2Xl6y5HUY0O8O4ra0REtc1TTz2lhkj98ssv0b17dzXAyooVK9REbDJq0l9//YXlyyter1ESexaIyiAfNrkReaJMK2BzESyYvGcwECIiAvDDDz+oUSNvvvlmNXS7kCHqL7jgAsyYMUONyijDqn711VdunS/+2SAi8kIyI/PlJSZ29jcDg1uwZ4GIau8MzhW9eZLU1FQ17LuQ4VSF84S1Msyq9DS4i8ECEZGX+nqICTe0NCDQAnSpByy9wYj6gZ71R5CIiMoXExOjJqQVvr6+qFu3LrZu3Vr4eGxsrKpZcBfTkIiIvFRMkAHfXseKZiIib9a7d2/8/PPPeP7559V9SUd67bXX1ISwMirS22+/jYEDB7q9fQYLREREROT9vLRj9fHHH1fBQl5enupZmDx5Mnbs2FE4VKoEE++++67b22ewQERERETkoTp27KhuDuHh4Vi5cqWqZZDeheDg4LPaPoMFIiIiIiIvExYWdk62wwJnIiIiIvJ63joakjh69CjGjRuH1q1bIyIiAqtXr1bLExMT8fDDD2Pz5s1wF3sWiIiIiIg81M6dO9GrVy9VzCyTsu3fvx82m009FhUVhT/++ANZWVn48MMP3do+gwUiIiIiIg81YcIElXL0999/qyFSZehUZ9deey2+/vprt7fPNCQiIiIiIg+1evVq3H///ahTp47L+RQaN26s5lpwF3sWiIiIiMjr6UbPq0WoCEk/CggIKPPxU6dOqSFV3cWeBSIiIiIiD9WlSxd8//33Lh+T2oV58+bh0ksvdXv7DBaIiDycZteRfyIIOXsjkBKbW92HQ0REVejZZ5/Fjz/+qFKR/v33X7Xs5MmTaq6FAQMGYNeuXXjmmWfc3r5B13X9HB4vERFVcaAwb8K/OLI5Xd03GIFrJ7RExwHFC9yIiGq7ty9dWeF1H/37SniSzz77DI888gjS0tIgTXupXZD/Q0JC8P777+OWW25xe9usWSAi8mD7/0ouDBSErgG/zT6M9lfUgdHknfm5RERU3B133IEbb7wRP/30kxo6VeoYWrRogYEDB3IGZyKi2syRdmTOtyH6aBICM3LxXffWaPRmLvLMJtzVyYhX+ppgYeBAROQ1nnvuOYwcORKdOnUqXBYYGIgbbrjhnO+LNQtERB4sIrDg/0YHTyEkLQd/t4zBp7074oTVhKQc4I11Gv77p1bdh0lEROfQ1KlTC+sTRFJSEkwmE3799VecawwWiIg8WM7mUwhLSEN2sC9Swv3Q7FQ8Bv39L4KS0oE8G6DpWLCbwQIRkS55/BW8eSL9PJUhs2aBiMiD7Y3XkRgTUXh/f2AAfmzRRP1sysiD3deEIJP742sTEVHtxp4FIiIPlZNhw+4DecWWXZCVjcZZ2epnu9EI2HSEG+3VdIREROTp2LNAROShDk7brEY/KqldRhaOBhbN5rlqRz7u+9iO/90ZBDMLnYmolvLU9KKyHD58GJs2bVI/y5CpYt++fQgLCytz8jZ3cJ4FOm+6deuGwYMHY/LkyZV63pAhQxAdHY3Zs2fDW14T0bmW83csFt68BkebN4TdUnTdR2KH2IhwfF8nAid8fQCjAVE2G0KtdjxybQDGDzpdEU1EVMu8eVnFi38f/7M/ajKj0ajmUnDmmF+hJMdyu929Xmb2LBCdJ6tWrcKePXswduxYnmNyzz/7gC9WA3/tBlJyoEeGwmYJgG1vOuKtQciJ6oCwhBTENa4PH7sdVqMRyUGBSPT1QaeUdFyelY0gmw0+Ofk4ERKEaT/Xx4dHTOgUAQxsZcKhbBNOpGsw5tnRKtKAO7tYEObvXVfeiIi80ccff1xl+2KwQHQeg4Vly5YxWCD3fPwLcM//5JKQlCoX3PYnQ0MwjDAi0pgNY4QGi9WGNF9f5Pj7QdY8GBiAU34+BdsIC0bdnFx0SUzB4J0H0DghGe/5dMbWw8Bnm6yAvxkIsACaEUjNw/Q/8rFhfCDCAxgwEJH38aY0pFGjRlXZvljgTG7Jzc2FzWbj2SM6T/SJ8wqHwdNhhA4dNlgKv7Z9NRvapx5WPzc4kaAChTyTEad8ZZ0iCf5+SPP1QXz9SFx6NB4xaZlFD+bI0Kqnix4CzDiYrOOTjVa+p0REVIjBggeLi4tTOfSzZs0qtvyhhx5Sy7/44otSUejw4cML70sRzJNPPokrrrgCl112GUaMGIG5c+eWymmT/HzZXkpKCqZMmYIBAwagV69eSEhIUI8fOHAA48ePx+WXX47+/ftj4sSJSE5OPuevd+fOnYXH26NHDzWt+YcfflgqaLnvvvtU3cOpU6fUDIf9+vVDz5491Xk5cuRIqe2eOHECTz31FPr06aNujz/+OGJjY9U2ZFuubNu2TT0mr1mO5z//+Q+ys7OLHYP0Kgg5d47b0qVLz/l5Ie+iH0+Btd6j0E+kQ66BSRAggYKmfip+VeyipP3oe3wzolIzcNH2AwiXuRVcXDmTIMJ6uq4h3KgBFumpOM2qF/ReyPMsRsRlcE4GIiIqwjQkDyZFwA0aNMD69esLU12sViu2bNmiCl82bNiA2267TS3PzMzE7t27VQPb0fCWBq3ZbFZBQmRkJNasWYN3331XBREvv/xyqf09+OCDar177rkHOTk5CAgIUI3qMWPGID8/HzfddBPq1auntiPBw7n0xx9/qAZ9o0aNcPvttyMkJATbt29XgdLevXvx6quvFltfjk+Oq2PHjuq45TjnzZuHJ554Al9//bWa5VCkpqaq9WTmw2HDhqFZs2bYvHkzxo0bp7bhiuzvscceU8HEwIEDsXHjRixevFid8+eff16tc/fdd6urwrKtl156qfC5ztOyE7liu3o6zAknYUDBFX5p+hvgCIjzoMG/+O96oD/iG9dXP9ex5iE4Nw8ZfkXzKljsGsLz8xGWmoE0f1/sbRAJyO9/6umgwKoBZhNgNgB+ZrSq6xRIEBFRrcdgwcNdfPHF6gq2pAX5+fmpBrT8fPXVV2P16tXqqrsEBDK0lvQYyNVtMW3aNBVYSIFMy5Yt1bKbb74Zzz77LH788UcMHToUl1xySbF9tWjRQl1Bd/b6668jPT0dM2fOLNy2BA3SsJfi3nMhLy9P7bdDhw54//331esR0riXY3/rrbdUYOTYvyMIuOOOO4rl9IWHh+Odd97BP//8o3omhPSknDx5Um1fzpmQ3pfp06fjs88+c3k8EkzJeZPjcRxHVlYWlixZooIICaIuvfRSdR4lWLjmmmvOyXkg76drGvR/TzgFB8WZkAcdGbBDhkUt6EFY37A9uuzbD81gwJ4GMWiZloH9ADJ8fRCcb0WbtHTUj0tCOoD3hvYo7GGAWeZgOB0wyH8ypKpBx7GsKnu5RERVyptqFqoS05A8nDSQJSCQRqmQXoaIiAjccsstqgErPQhCGtMybJasLylCkkbTu3fvwkBByONyRVz89ttvpfYlV/SdaZqmehHatWtXrKEu27nzzjvP2Wtct26duvIvV/Klh0QCAcdN0osc6ziTq/wjR44sFViJo0ePFi6T44+KilI9BM4k0CiL9FY4AgXnbUswJilNNZ28/xKAOcg5zcjIKLwvvURyvkumvJV3Pz4+vtg089yHe+fKYDRCD/JVNQplMSMbvkiED04hD77ov3UH2h09hg5HjuJQWAiOR4TBz2RCHZsdDVMz8NElrfDsjZdjys19cahe+OmCafkAFx2Dc3ZTs7CCO3zP+fng55zfiVX13U41G3sWPJyjASxBglwtl6Cga9euaNOmjUrVkeWS+iLLJTAIDQ3Fv//+q57TvHnzUtuTNBxpaEvaTklNmjQpdl++NCRPv+TysrbtrkOHDqn/ndN5Sir55VSnTh34+halYgh57c4Tlwhp3Ldv3169ZmcScAUHB7vcl6R+leRq2zWVvDZnQUFBxe77+PiodLOSKW/l3a9fvyANhvs4+3Nlfn047Pd/DLPqXXAUOBdwviZmgz/SDREwnv5DfqhOJHY2jCm2rcTwEHQ9EIeNLZyOQa6s5Uphsw6YjAU9DEYDYNdxcbQBN7cr+CzwPefng59zfidWx3c71TwMFjycfCilYS7BgKQfSSAgKUDS+JWZ+iRYkDQZSZ259dZbz2pfkuZUHRxXNR555BG0atXK5ToSHDgr2fh3tT13Oeodzse2iUzj+kC7pClsD3wC47YDQE4WdMhQqDrsBh3ZZl8k+tTBgbotEJVkR1R6wVW9TF8Xn0+DAR1PpqNpcib+alwHSYH+aBhqgPy9D21kQnyWAfKx7lgHGNDMiBvbmuDDGZ6JyEsxDck9DBa8gKQALViwQNUoSB2Co9ZAeh0k9/7PP/9UjVhHL0RMTMHVx4MHD7qcOlzSi1xdPS9JagAkP9/VCEOutu2uxo0bq//9/f3RvXt3nEtyhePYsWPqNTsHGNJr4ty16g5XsygSVYSxSxMY/54E5OYDTccBJ1PV8kwffzR9YjrSfPwRlZ2Ld5b+gqj0gtqg1nEF6QLOv3f50sUfHorm8Ul478OfkfdcD4x8rCnfBCIiqjDWLHgBCQKksTtnzhzVndewYcPC5ZI/+Mknn6ir4RdddFFhN6KkJklwsX+/lEIWkIaGY0ZAGW70TGSbMnSo1EVIz4bzdj799NNz9vokvUqOWV6HqzQf6VGR+gx3SN1GYmIiVqxYUWx5WcXNlSHBjaekJlENJZOr/fgC0L8jEB6E0CvaYsUQKy5vbIAtxAcL2rRGXGg4NBiwo04Udgb5Y1toIA4E+SHVZEScjwW+6dnovWGvSlfq0ZQBLBERVQ57FryA1CjIVXHJ7ZciYAdJT5I0JbnKL0W5gYGBhY/JfAUydKoMG+oYOlWGJ/3rr78waNCgUiMhleWBBx5QPRePPvqoGk2pbt26qmhY5mQ4V6TRLfM7yDFLSpWM1CRDqMqVf+kJkWJsGZXJuci6omS0JBm1SLa/Y8cONG3aVBWLSwF4WFjYWfUOyDn/5ptvMHXqVBVUyShOUhhdkV4bokKdmwG/TCm8K31ray4F8uOysHXynwiyZSERYRh//TU4GVwQoCYCiPX3Rf30HPTZuh9++QXDsIa3LaitISKqjXSpz6JKY8+CF5BCZkcuf8kGsyP1qORyGcHoo48+UnUNksL09ttvqxEKZH4EaThXlPRifPDBB7jwwgvV/AUy74E0smW+hnNJehdkmFP5f/ny5Wpehc8//1wFCzKXhPOoTpUhxyrHL5PMydCnctwyv4IMBSs9JCWLpCtDRliSEaS2bt2qzqnMwSBD2BKdCz7RgYh+7iJkwh95JhMSwosXGtpMRkRmZKH5qYIUpiajLkBI+zCefCIiqhSDzopMolJkWNYrr7xSTWIns0AT1VQH7/kNRz4/iCsnjIRWorD/7tXbcP36fYjsXQ+X/XBVtR0jEVFN8Fqf1RVed8Lvvc/rsXgS9ixQrSc1DyVJL4Y41wXVROeaNrAZAvOt6LX3eLHlPjY7Ltt9HEYdaH5/G554IiJyC2sWqEpIDYNMWlYeGVlJblVNhmSVUZFkbgopFJfhZqXuQorA+/btW+XHQ1QZcRnAvjYN8NjP6xGWnYu/LmiAsLx8XLP3COo19EOnhy5E/SGNeFKJqNbj0KnuYbBAVUJmdC45a2NJUmw9duzYKn9HpF7h+++/V4XSMjNlvXr1VK2BHE95cyoQ1QRRzQLwV50QZAb44IoT8eomDEag9+L+CIkpKHomIiJyB2sWqEps2bKl2BTxrsgoQY5hX4moYjSbjoXPbsexP07BnG8rnOX54nub49L73Sv8JyLyRq/2XVPhdZ9e1eu8HosnYc8CVYnOnTvzTBOdB0azAdf/ty3mvLoV9kQf9O7ZHY26RSGiWfHRkYiIajumIbmHwQIRkRcw181Rt3bXN4DFYqnuwyEiIi/B0ZCIiIiIiMglBgtEREREROQS05CIiIiIyOuxZsE97FkgIiIiIiKXGCwQEREREZFLTEMiIiIiIq/HNCT3sGeBiIiIiIhcYrBAREREREQuMQ2JiIiIiLwe05Dcw54FIiIiIiJyicECERERERG5xGCBiIiIiIhcYs0CEZEHSsnRMXaZFcv3aTDpOjprl2BEnQ3VfVhERDUWaxbcw2CBiMjD6LqOSz/Kx94kuWdQt9/1NkiODcJ91X1wRETkVZiGRETkYf48rp8OFJwYDNiNaJxI0arpqIiIyBuxZ4GIyMNY7UD9jBTcuuUPdEhIRMvkRKxr2BRv9huIlh+HwGqywmQwoF0kEBMERPgZ8FhXIy6Oll4IIqLaSedXoFsYLBAReZhe0Xa8/dNniEjX0ffwPrWs+/Ej6Hd4P7o99pxKS7LrwPbEghugY9F+OzbdYULbSP61JCKiimMaEhGRhzH9sg0b6jUvDBQcOsbHoteh/S6fk2sDPtzOFCUiIqoc9iwQEXkaTYcGI97oeQWWtemIBmmpmLDmJ3Q6eQJGveyAYEeiXqWHSUREno/BAhGRhznWvRMORObizV4XFy77sVV7bH13CrIspjKf9+Nh4OPtGkZ3ZKcyEdU+HDrVPfyLQbXCfffdhyFDhlT3YRCdE/M35ODnCzoVW5bu54/5nTpi9IZV5T535lamIhERUcWxZ4Gq3J49e7Bq1SrVeI+JifGKd0BeS1xcXJmPX3/99Zg4cWKVHhN5oV+3Q3v8U9y39xReeOKdUg/Hh4Tiq669yt3E7mSg7zwbJGQY28mI29rxmhEREZWNwQJVub1792LOnDno2rVrlQULM2bMUBNZnS9PPPEEsrOzSy2fP38+tm/fjl69ym/AEZ3RpgPQB0yB0a4hCMD963/GGz0HFz4ckpuJ93pfg3yzpdzNpOcDvx8v+HnNcQ0mIzCyDQMGIvJ+TENyD4MFqhUslvIbUGerb9++pZbl5ubitddeQ1RUFHr27Hle90+1wCe/wWAvSiF69acvEZCfh9ld+6NjwjGEWrOxsEvlf88+2KZjZJtzfKxEROQ1GCxQlZo1a5bqVRDjxo0rXD548GBMnjwZqampap3Vq1cjKSkJkZGR6N27N8aOHYuwsLDC9ZcuXYopU6aoHoMtW7ao+7J+kyZNMHr0aAwcOLBUzYKkCcl6zo4dO4aPPvoI69atQ3JystpHu3btMGbMGLRt2/asXusvv/yCzMxMDB8+HGYzP2pUCat3QH95AWwbj+Aw6mF3ZBtckbABJ4Kb4d/wNsjw8cV33VpiRZt2yDb6YmVIeEEFmvSeGSo3j8IvR3X4vmnDxdFA/QBgZxLQKBhqnoa4LGBgUwNe6mlEkA/nZyAiqo3YgqEq1b9/fyQmJmLRokWqUd+sWTO1vGHDhqphfffdd6sG/NChQ9GmTRtV37BgwQKsX78ec+fORWBgYLHtvfvuu8jJyVENciHBwPPPP4/8/PwzFjTv3LkT999/P2w2G6677jq0aNEC6enp2LRpE7Zu3XrWwcLixYthMBjUtokqbO8JYMBLMORZIf1hLZGK+mkJOO7fAKsadFGrvDngEuxpEAXk6TLfWgE7gHwN8C17NKSyyNPWxhbd35Vc9PPOJB1H0zUsuK7y2yUiqkm0Sl5MoQIMFqhKtWzZEp06dVLBQvfu3dGtW7fCx6SX4OjRo3j66acxYsSIwuWtWrVS6Tyffvqpatw7k56IefPmIShIsrihgoaRI0firbfewlVXXQU/Pz+XxyH1C9KTYbVaVRAix+UgQYymnd2IMRLwbN68GV26dEGjRo3OaltUy3y1BsizFlsUZE/FgZBL1c/JgX7YEx0FVaFckt293oUzWbRfR1qejlBf/qElIqptWNVGNYaMkBQeHo4bbrih2PIbb7xRLf/tt99KPUeCA0egIOTnYcOGqR6CjRs3lrkv6bE4ePCg6n1wDhQcjEbjWfcqSEBSE3sVJN0qLy+v8L706GRkZBTel14ZSelyVnKkp5L34+PjixWQcx/un6s8g6tCfEPhZGtmqVvQdITk5qCqmI1AYkJ8sWV8z4vw81GA3yX8fLj794NqNvYsUI1x4sQJlfpTMr9f7jdu3Bi7d+8u9ZymTZuWWuZIbYqNdcqrcHHlX7Ru3Rrnmt1ux7JlyxAcHIwrrrgCNU1ERESx+87BlvDx8VG1Is6io6PLvV+/fn3u4xydK98xA4B3lgNJRQFcoqUuWqcex9HgOgjJzcclh05g8sqlGHnrKKQ79Z4F2fOQaQjAuTamowEtGvE9F/x8lP27y++SIvxOdP87kWoeBgtE59jatWtVXYakUvn6+vL8UuVERwDrXgWmL0P+mn04lBmK43VboGNEJgbu2IONxnoYvnkLLj9yGH/PeBPv97gcR0PDMWjvbvQ7tA9v9uuH2T0vP+NuHAlFZgMQFQBcdwFQP9CAraeAZiE6bLoBxzOAAU0NGNOJ6UdE5Pn0wm8+qgwGC1TlpOjXlQYNGuDIkSOq4Ni5d0HuSy2DPF7S4cOHSy07dOhQ4fbKIj0VjjkfzrXvvvuucCI2Ire0qA+8cy98pPfr9M1h2458/O/tExi3aQ0apqfjlRXfF3vqE7/+esZg4aomwE8j+PVPRERnxpoFqnL+/v7qf6krcNanTx+kpKQUNrYd5L4s79evX6ltyUhJkifrID8vXLhQpQDJpG9lkaLp5s2bY8mSJThw4ECpx92dwE16FKRnQUZyOh8pTkSD2lgQ0DwM6xs2VCej5G/q2y4+JyW91JMjGxERUcXw0hJVufbt26sCYpnfQAIGCR6kF2DUqFFqbgIZ+UgKkKWxLf9LsbDMn3DnnXeW2pbMiyDPcwyTKkOnSrHUxIkTyxwJydG7MWnSJDzwwAPq+Y6hU6XQV4ZO7dGjhxpVqbKkVkFqFtirQOeL2WTA8p65WPtFIAzH7dBPX/OxGwy4/Y47saxjxzKfK2v+PtKIS2PYFU9EtQ9ncHYPgwWqclLM9OKLL6ohS6dOnarSjByTsn344YeFk7LJVX8ptJXRjWRStpJzLIjx48erSdnmz5+vRpWR9KKXX34ZgwYNqlDQIscg+1y5cqXqkZDgQ5Z37tzZrdcmxyx1ChXZP5G7our7wc+eBz+kwwgNdpiRjSD83Kb8qZibhQGXN2SHMhERVZxBdzffgqgaOWZwnjlzZrG5GohqAz0tG3lRD8HXVjQfgwYTnrzmVrzdr3+Zz/vyWiNuactggYhqpxeuKXtI9ZL+80PZqcy1Df9qEBF5mp+2FwsUhBF2PPzLavjl5sFss8HgNLFgu0hg2Q0MFIiodpM0pIreqAjTkIjKIMXSubm55Z4fi8WC0NBQnkOqWhHF58YQ0kV8IiQUMJlgcxpNTCZUW3WzCXUC+MePiIgqj8ECURmmTZumCpbL06VLF8yePZvnkKpU7uVtcKB+Q7SPP164zAAN/uZUtI42YWti0br3dTIwUCAiIrexZoGoDAcPHsSpU6fKPT8hISFq1mmiqrTigIZf7v8Or/680GlpQflZxr+v4/P8aPybqKNPIwNuam0oc24TIqLaZOK1myq87svfdzmvx+JJ2LNAVAaZh0FuRDVNvUDgeGgEDCVmWZDhU/3rBeKBKJajERGVxFoE9/AvChGRh+lc3wjrkG7YWq9RseUn2oQCoaWHGCYiInIXexaIiDzQl7cFYmHjZ7B/+nJ0OH4YyY2ysH1QE4yu7gMjIiKvwmCBiMgDWUwGjOwbDvS9FVarFb9//HF1HxIRUY2ms3zLLUxDIiIiIiIilxgsEBERERGRSwwWiIiIiIjIJdYsEBEREZHX0zjnjFvYs0BERERERC4xWCAiIiIiIpeYhkREREREXo8zOLuHPQtEREREROQSgwUiIiIiInKJaUhERERE5PWYhuQe9iwQEXm4LCswI/tKjEsfDZ/pwAUf2LD9lF7dh0VERF6AwQIRkYd7/Hdgm60xdBgAGHAgFbjyGztsGgMGIiI6OwwWiIg83MJ9pZcl5AArDxcEC1sSdEz5U8MH2zRk5TOAICKiimPNAhGRB9udpCMj3/Vjd/yg4dnuOp78XYcjRJi+Cfj7VhMCfaQXgoio9uAMzu5hzwIRkQebtkE7nX5UWmIuMOnPokBB/JsIfLmbvQtERFQxDBaIiDzYsfTyG/6Z1so/h4iIyIFpSEREHizSX3oVKtf4D7Sct8MhIqqxdGZfuoU9C0REHizDjYLl346xZ4GIiCqGwQLVCvfddx+GDBlS3YdBdM7FZ1a+4R8TxDeCiIgqhmlIVOX27NmDVatWqcZ7TEyM17wD69evx8cff4wdO3bAZrOhefPmuPnmmzF48ODqPjTyMjJ/wrEMHZl5GnadyENYvg2p/oGAoWJ97Dl5QHqGHSHBpvN+rERE5NkYLFCV27t3L+bMmYOuXbtWWbAwY8YM6Pr5S7348ccf8cILL6jXM3r0aPj5+eG3337D5MmTkZCQgLvvvvu87Ztql7n/2jH2Zx15duDJVUvwSsopPH3NbRUOFMS3u6xYu96KW81ZeHhcFGLqs4iBiLxfWSPHUfkYLFCtYLGcv8aQ9CJMmzYNERER+PzzzxEcHKyWS6/CI488gtmzZ2PAgAFo2LDheTsGqh0Op+kY/WPBUKi9D+zEPf/8inZPvQW9EoGCyDdbEBdswG8ncmGanYj/ezH6vB0zERF5NgYLVKVmzZqlehXEuHHjCpdLqo5chU9NTVXrrF69GklJSYiMjETv3r0xduxYhIWFFa6/dOlSTJkyRfUYbNmyRd2X9Zs0aaKu7A8cOLBUzUJcXJxaz9mxY8fw0UcfYd26dUhOTlb7aNeuHcaMGYO2bdtW6DXt379fHfeNN95YGCgIg8GAa665Bn/++afqebj33nvdPm9UO/14SMNXu3TsT9GRlg/EpsucCkaY7DZkm33w7NW3ug4UpBftDAGEzWRGim8eOixYitutV2J9WDT6tfTB29f4wM/Mq29ERFSAwQJVqf79+yMxMRGLFi1SjfpmzZqp5XLVPTMzU6XrSAN+6NChaNOmjapvWLBggaoHmDt3LgIDA4tt791330VOTg6GDx+u7ksw8PzzzyM/P/+MBc07d+7E/fffr3oGrrvuOrRo0QLp6enYtGkTtm7dWuFgwWotGMheUo9Kcizbvn17Bc8QUYH3NmkY/6vmckwKu8mMDU0uwAZXJ8uuAak5QGTxz4orTZIT8Fy3K3E4M0pNyLD3uBW/HrRh76Nnfi4RkafhDM7uYbBAVaply5bo1KmTCha6d++Obt26FT4mvQRHjx7F008/jREjRhQub9WqFV577TV8+umnqnHvTK7oz5s3D0FBBcO7SNAwcuRIvPXWW7jqqqtcNuCF1C9IT4Y09CUIkeNykCBG00o20somvRkmkwkbN25U25UeBQdZJk6ePFnh7RGJV/6p4O+gcy+C/JyZD4T6V+ipW8IbINHmU2zZvqN52Bjvj671OVgeERFx6FSqQWSEpPDwcNxwww3Flkt6jyyXguGSJDhwBApCfh42bJjqIXA01F2RHouDBw+q3gfnQMHBaKx4QykkJET1hMg2JQCRAm7pHZEgRIIikZubi5pC0q3y8vIK70uPTkZGRuF96ZWRlC5nksJV3v34+PhiBeTcx9mfq9SK/soYDLjw6AH4Z2YBmg6E+gHmiv3+5phc1PLoQHKOzve8xPvhwM8HP+euPtf8Tjy7zwfVbOxZoBrjxIkTKvXHbC7+ayn3GzdujN27d5d6TtOmTUstc6Q2xcbGlrkvacyL1q1bn4MjB5588kn1/5IlS/D999+rnyXAmThxorqVTJ+qTlKI7cw52BI+Pj6qVsRZdHR0uffr16/PfZzjc3VLWzs+3F6xEby2Nm4BdwzftxlfxXRUBc8O/sFm9G1shMXE99z5/XDg5+PMv7s8V/xOPJvvxPOpsoNBUAEGC0TngK+vr6qVGD9+vOqxkNGXJH3KEZS4CmqIyvNOfyMCzBq+3K2rzCKrXYfBrkMzAHoler6U01eDg3JzoBmNyPbxRcPUZNy99Q9ct2cLnut5HfYFRSKmrg8W3hEAi4l/UImIqACDBapyzjn9zho0aIAjR46ogmPn3gW5L7UM8nhJhw8fLrXs0KFDhdsri/RUCEkZOpckJalz586F99euXav+79mz5zndD3m/AIsB71xhwjtXFC1LOZ6Dga8lY33jepXb2OnPXKZ/gPr/uc5W/N+V9YD/m6zuF0/8IyIiKsIKNqpy/v4FxZdSV+CsT58+SElJwXfffVdsudyX5f369Su1LRkpSXKKHeTnhQsXqiFMZdK3sshVf5lhWdKGDhw4UOrxczGBm6RBSd2CBCZXXnnlWW+PKLyhPx5rbUOoTMHs4Mbv6pY0TsJGREQVw54FqnLt27dXBcQyv4EEDBI8SC/AqFGj8Msvv6iRj6RYWOoJ5P/FixerEYfuvPPOUtuSeRHkeY5hUmXoVCmWkjqBskZCcvRuTJo0CQ888IB6vmPoVClklKFTe/TooUZVqigJUP744w/VqyDHJD0eEuTIKEmvvvqqynMmOhduebAJeuzOxMIt6Yhs6I97/rag4mN3Fcix870gotqHNQvuYbBAVU6KmV588UV11X3q1KkqzcgxKduHH35YOCmbXPWXQlsZ3UgmZXNVJCw1AjIp2/z589WoMnIV/+WXX8agQYMqFLTIMcg+V65cqRr80tCX5c6pRBUhvRQ//fQTPvvsM2RlZanjlonh7rnnHtSpU6dS2yI6k6ZtgvBEm4Kfpx+0YUtC5c7ZJZXMYiIiotrLoJ+LfAuiKuaYwXnmzJnF5mogqm3GfW/FniWxWHVBg7JnbS4xo/O4Cw14/ypT1R0kEVEN8PCIXRVe9535FZuYtTZgzQIRkQe7sIEJF8aegqm86z4lgohOdTjaERHVPjKaXEVvVIRpSERlkGLpM02mJkOkhoaG8hxStRndwYA2F7eEvYzhVC02G6xOo4v1bWTAXe35l5CIiCqGwQJRGaZNm4Zly5aVe366dOmC2bNn8xxStfEzG2CKDgTSS6cefTbIAD8fH7QOBw6lA5H+BvRswECBiIgqjjULRGWQydVOnTp1xnkVZNZpourU60sr/jhRPAhoGAQcG8frQUREDg/evLvCJ2PG16dHkSD2LBCVN8KR3Ihqukxr6WVtIqrjSIiIyNuwwJmIyMN1qVt6WfcYphsREdHZY7BAROThXrwUiDamFN6/pD7wZDd+vRMR0dljQisRkYeLCQJeDFyEg/Z6uH7INbiskaW6D4mIqMbRwB5Xd/DSExGRFzAagAvMJ3Fx/eo+EiIi8iYMFoiIiIiIyCWmIRERERGR19NLzGZPFcOeBSIiIiIiconBAhERERERucRggYiIiIiIXGLNAhERERF5PY0lC25hzwIREREREbnEYIGIiIiIiFxiGhIREREReT2NQ6e6hcECEZGHWnFIw4wtOqw2oEl+E6QhAPMWAtHBdjx1sRGd6zJBl4iIzg6DBSIiD7TyiIarF2rQ1T0JCq4oeOC4/KNjyX47tt9lQtNQBgxEROQ+1iwQEXmgmVscgYJrmVbgs53lrUFEVPtmcK7ojYowWCAi8jBH0nQsP3Tm9fS0rKo4HCIi8mIMFoiIPMzzf2jItpW/TmBeLgZ8uqCqDomIiLwUaxaIiDzMyiOl04sm/LoIDdNTsLBjd9TPSMWEVUsQbLCrXogmrFsgIiI3MVggIvIg723ScDK79HIfux3j1/6obg6zul+J176xY/fdJlhMzMElotqNMzi7h8ECEZGHyM7X8eaf+UAeEKTlI9M/ANB0GfwI03oPUet0iD+KOlkZCMnNwaQBN+FkGvDbMR0DmjJYICKiymOwQETkAbbH2XHlB9lIyNTx4h9L8HuH9vj9gg6AsSAIyDX54uWrhhd7Tp2MHPW/hdVpRETkJv4JoVrhvvvuw5AhBVdeiTzR08vzVKBQLzMVT/+zFOsbtwTOMLxfTEYuzHYNjYOr7DCJiGosHYYK36gIexaoyu3ZswerVq1SjfeYmBiveAcOHz6M7777Drt371a3zMxMjBkzBmPHjq3uQyMPl5an47k1GlYkmoEIM05F1kfofz6BzWw543O3RofB12rDM78bkafr2Jmko39jA17pZUSkP/8YEhHRmTFYoCq3d+9ezJkzB127dq2yYGHGjBnQ9fM3QdX27dvxxRdfoGHDhmjbti3Wr19/3vZFtcsdP2hYekAHjAUdwZrcTv98RgYD8nwsWLBPL5jkGcCBVB0HUjX8cpPpPB41ERF5CwYLVCtYLGe+Cns2evfujV9//RXBwcHYuXMn7rzzzvO6P6odvj9gLwgU3BSUk42hOzcgKTAEP7XqBN1ohNGuAT8ewszNeehwW0tc3sEfkMnbvt8IBPgC13QBfM7v54WIqDponJnZLQwWqErNmjVL9SqIcePGFS4fPHgwJk+ejNTUVLXO6tWrkZSUhMjISNUQl3SesLCwwvWXLl2KKVOmqB6DLVu2qPuyfpMmTTB69GgMHDiwVM1CXFycWs/ZsWPH8NFHH2HdunVITk5W+2jXrp1KIZIegooKDQ09i7NCVNrNS+34Zs/Z9YbJaElrm7XBmv9NwtGwKFw59gXkWnzU6ElXvPojst7+Fa8+cDmenvsukJRR8KQ2DYA1/wdEhfBtISIiBgtUtfr374/ExEQsWrRINeqbNWumlkv6juT533333aoBP3ToULRp00bVNyxYsECl9cydOxeBgYHFtvfuu+8iJycHw4cXjAIjwcDzzz+P/Pz8MxY0Sw/A/fffD5vNhuuuuw4tWrRAeno6Nm3ahK1bt1YqWCA6l1Yd1c46UHA4ElEXr/a7Du999xFu37QaH3S/Er+2b4HfWzdDv92HMGjmSiD7dKAgdscC7/4ATBl5TvZPRESejaMhUZVq2bIlOnXqpH7u3r07rrnmGnWTZRIMHD16FBMmTMALL7yAESNGYOLEiXjqqadUAfGnn35aanvSEyHPu+uuu9RNfq5fvz7eeust5ObmlnkcUr8gPRlWqxWffPKJ2uewYcNUACMByE033QRvJT0oeXl5hfclSMvIKGosSqAlvTTOpFemvPvx8fHFakK4j7M7V1viyv7ddRaVkYW3v1iGf6b8D/P+Nw9dDse6XG9rdBP1f9uTRY8fqBeh/g/MlSqIEnYd53vu9H7w88HPOb8Tz+93O9VsBv18Vn0SueBIIZo5cya6detWuFyCA2n8L1++HGZzUYacXPm/+uqrER4ejm+++abYNh566CEVJDj7+OOPVXrS9OnT0bNnT5dpSDJi0e23364ChGefffacvk+OmgWOhkTu2pOso+1HdskWKtdX789D94PHC+9n+lpw8YsPqKJmZ02TE3DolYcwePTT+L5dV7Xsu7c/R4fYBJyIMqNX4h/FN/z+WGBc8VQ+IiJPd/udhyq87uefFmQ+EHsWqAY5ceKEqjlwDhSE3G/cuDFiY0tfNW3atGmpZY7UJlfrO0iqk2jduvU5OHKic6t1hAEzrjTCt5wBi+qmZapAYWujenjotsGYfF1/2A1GtD1xstS6hyPq4rlBI1Wg4GO1YcKy31WgsKF5AxyafStw1YUFK5qMwD1XAGOu5FtKREQKC5yJiGqg+zsbMaq9AQdTdQRagCGLNOxw6t3P8bHgf30vwbRrehVOzvbVpZ3Q/GTxFABF1+E78UbMCQKahprR5OZLYcvuhiGtQxBgMQA3TAJOJAO+FiCSM7gREVERBgtU5QxlDF3WoEEDHDlyRKUdlUxDkloGebwkqWUo6dChgm5GV+s7SE+FY84HoppKGvId6hR8Xqb0BIYvKaovyPD3xfSBPYvN4mw1m7Enuk6p7YT6GvDExSYE+RjK/uqPKahhICLyVhrnonQLC5ypyvn7+6v/ZeQhZ3369EFKSoqaCdmZ3Jfl/fr1K7UtGSlJCqwc5OeFCxeq+Q5k0reytGrVCs2bN8eSJUtw4MCBUo+zlIdqmmGtjFh7ixHhvkXLrJI2VJKLCdu23GlwChSIiIgqjj0LVOXat28Po9Go5jeQgEGCB+kFGDVqFH755Re89tprashUqSeQ/xcvXqxqGVxNdCbzIsjzHMOkSgGzjKwgoyj5+fmV27sxadIkPPDAA+r5jqFTZVQHGTq1R48eGDmy4kNHSpAyb9489bMMDSs2b96MDz74oDAQkpGgiM7GZQ2MmHAJ8Oya0z0MFZhgqK4/0DSMszUTEZF7GCxQlZOhTV988UU1zOnUqVNVmpFjUrYPP/ywcFI2ueovk7LJiEUyKVvJORbE+PHj1aRs8+fPV0O6SXrRyy+/jEGDBlUoaJFjkH2uXLlS9UhI8CHLO3fuXKnXJEGPjO7kbMOGDeom6tWrx2CBzonHuxnww+osrEFA0cLTQYPBrkF+0k73OBig44dhDBSIiMh9HDqVvGr4VaLaYPGs4/h9eTLyTAaEpGah5Y7j8M3XUD8tC3ajARl+Ftz7+BA0aR6ALaN4TYiISIwcVbrOsSzz5pYebbG2Ys0CEZGH6TmkDswWA4KtduiBfgjRdDRIyYRJ0+Fj07CmY1OkBgegZwPWKRAR0dnhJSeicuoQypsFWlgsFoSGhvIcUpWKivHFwetb4sS6ZERk5uJQnzbIMJjR9GQatjetiz86NCr4/eTlICIiOksMFojKMG3aNCxbtqzc89OlSxfMnj2b55Cq3NWdfHBvXN1y1xl6AXsWiIgc9AoMCkGlsWaBqAwHDx7EqVOnyj0/ISEhaNu2Lc8hVTkZ3vf5PzS8t1lHvlXDDdv+RK7BB0vbdUW4nwETe5rxSFd2LRAROdx815EKn4yvP2nCE3cagwUiIg+m6Try8m34bO7HMNo03Hr3PfD3NZc5+SERUW3FYME9TEMiIvJgRoMB5tMdCJrZCIup7FnSiYhqM87g7B72URMRERERkUsMFoiIiIiIyCUGC0RERERE5BJrFoiIiIjI62ms53ILexaIiIiIiMglBgtEREREROQS05CIiIiIyOtp4LDS7mDPAhERERERucRggYiIiIiIXGKwQERERERELrFmgYjIC2TpPsjRfar7MIiIaiw7SxbcwmCBiMjDPbMGeCfjFthgwoKvdCy6TkeTUP5VJCKis8c0JCIiD7Zkv4a3NgKd98Xj2vV7cOhALh78RavuwyIiIi/BngUiIg+2ekcO3pi7CsF5+er+sH92Y2n3NsCN7av70IiIahTO4Owe9iwQEXmonBwNQYsPIi0qFOlhQTDbNYRn5uC2X7YgPyWvug+PiIi8AIMFIiIPdCrJhkeejUX+yTyYfMzICg/G8ebR8NWAxokZ2H/jiuo+RCIi8gIMFoiIPNC7X6fBEJsB/3wrjHYNJpsdBh1YfVELfNuxBZLXxCP99xPVfZhERDWGZqj4jYowWCAi8jCv/mHDyh1W+NrtMNntMMv/mqb+D9Q0TL2yGx69vjfyDqRX96ESEZGHY4EzEZEHsWk6XlljRfecHATm5eNUUBASAgNg0nU0SE1DWG4eYrJzsLFxPWxvY0L/6j5gIiLyaAwWiIg8SL4d6HwgAZedOIVTAf7YHxlR+NipoEBcdPwEAmx2dT8twLcaj5SIiLwB05DOkcmTJ6Nbt26oDrJf2X9ttHTpUvX6N2zYUN2HgiFDhuC+++6r7sMgL/Xbznxc93YqLn8pBd3jEtWy+KCgwsetBgPSzWasadwQbdMy8epPf8J38lpkHMuqxqMmIqo5NBgqfKMiDBaIKuHLL79UAQpRVdp1woZRs9Ox/qAN8WkajLquluun/55JP0KWyQi70QCr2YSEOhH4t3kjnNqajJ/vWA17ng3IzYeu69DtGnC654GIiOhMGCwQVcJXX33FYIGq3Gerc2BzmpR5V2iw+r9eZlZhrwLk5mR/TB01okfGkSwkho4H/EdCN96MPPM45FnGQm/xIPDDxqp9IURE5HEYLBARVQO7pmNXko6M/IJegpJOZWrYm2DD7iQdv23KhdVshGPN9VERWBcZrmZtbpSWjuiU1FLPl5GRZChVYdEKJmgzwgZfJMEOP+QfzIV+w6vA8YKUJiIib2c3GCp8oyK1tsA5Ly8Pn3zyCVasWIGTJ0/CYrGgXr16uOyyy/DII4/gxIkTGDp0KMaMGYOxY8cWe+6sWbMwZ84cLFmyBDExMcUeS0lJwVtvvYW1a9eqfXTs2FFtr02bNm4dp+Tif/bZZ/j333+Rk5ODOnXqoGvXrnj44YcRFhZW5vN++uknLF++HHv37kVycjICAgLQuXNnjBs3Di1btiy2ruT8Dx48uFTdg6TbTJkyBTNnziysx0hLS8MHH3yA1atX49SpU/D390d0dDQGDBiAO++8s9QxfP3119i3bx/sdjsuuOAC3HHHHaowSo4AAF/mSURBVLjyyivdOheLFi3C559/rt4bea9uuukmBDnlbDvLzMzERx99hF9//VW9v4GBgbjkkkvwwAMPoGHDhqVe44wZM7BlyxZ1PykpCU2aNMHo0aMxcODAYudJxMXFFatPKfl7cPjwYfU7sHnzZhgMBnTv3h0TJkxAVFSUW6+bvM+fsTpGLrPjWAYQaAFe6WXE+C4F124kVeihhdmY9Y8V9ogAmKEBkaGwmYxqPoWwpGx0T0hFHQD/1olCTG4uLtuxFwnBQcjyKypo7nwoVmXdxuTEIcJaFEwYoMOEPNgQAFN+DozNH4HxhwnAlRdWy7kgIqKardYGC6+++qpq5F177bW47bbbVGP22LFjWL9+/Vltd/z48QgJCVFBhjQ6v/nmG1X0Kg1XaSxXxsKFCzF16lTUrVsXw4YNU43y+Ph4rFmzRjWAywsWZL+hoaG44YYbVCP1+PHjqrF9zz33qAZ348aN3Xp9zzzzDDZt2qSOR4IOCYgOHTqEjRs3FgsW/ve//6nXLMGXBChGoxG//faber40nKWhX9lagTfffBOtWrXCgw8+iNzcXPU6wsPDXQYKd999tzpXEvA1b94ciYmJWLBgAe666y4VfMm5dPbuu++qYGz48OHqvgQNzz//PPLz81XhsnjppZfUMch5l+07OB+DBFASXPbt21cFdBIoffvtt8jKylIBCZGm67j9h4JAQWRZgUd+1TCwqQGtIgz4ZnM+/vdHHlAvEDAbYZP6hNNXuTSTEemRAagXewrHA/yRYbEg12xCK4sFw/7cgu1NolXA0DQhGe2Px6JhegouyVhT6qRLuCBhQx6i4Gc9CX342zAkzAZ8LHyDiIiomFobLKxatUo1ZOWq8rkkjdDXXntNXVEW/fv3V43o6dOnqwZpRUkwMG3aNDRt2lQ1uoODC3KUxf333w9Nc0pgdkH2JVf9nUlgdOutt6qGtzTaK0sa4RJMSYNaGvxl2b17tzpmuTIvDXuHkSNH4oknnlCNZjkWudpfERkZGSr4aNasmdqun5+fWi6NeEfj3pn0hMTGxuLjjz9WwYWDrC/HID1DJXtRUlNTMW/evMKeCtmurCs9BFdddZXa5zXXXIP3338fERER6mdXJOB85ZVX1HMcJFCaP3++6nGQ95Nqt2PpwKG04sskW2j1cV0FC78fsEk7HrBIg17a9MW7w6WHIcnfB1nmgq/vLIsZKzu0wq2rN+DSvUfUMpNmR8eEY/DPB7IQhTDEFz0ffrDDRwULBf0MRuhpeTDsjgU68feTiLwXZ2Z2T62tWZBG4cGDB7F///5zul0JDByBgmjbtq1KQ/nnn3+QnZ1d4e2sXLkSVqtV9VA4BwrODdDyOAIFSWmQRr40huUKuKTXSEqTO3x9feHj46OeL6lAZZH0JzkHEhDIfp1vvXv3VlfZt2/fXuH9/v3336onYcSIEYWBgpBUpEGDBhVbV16v7P+iiy5SPTLO+5Zz0qFDB7W9kiQ4cE5pkp+l9yQ9PV31mlSUpIk5BwrCkbIkgURNIGlp0iPkIL8fEpA5SG+K9Io5k9Sr8u5LL46ce+7jzOcKmScRUfRrXKh9VMH3xgXhtoLowbmi2YlB1xGaVzB7s4yKZNE0ZPr7Y27fS3A8KhDJgUb82jIamXpBMJ6CxohDa6QgBilogHxEFAYKsiMJF+BrRHJI8WtHfM/5+eDnnN+JVfXdTjVbre1ZePzxxzFp0iR19bhBgwaqQderVy/VmD1TQ7w8cvXb1TJpoMoHpEWLFhXajqNh2bp1a7eOQ67uyxV2aehKeo0zeb3ukLoOOW9vvPFGYXqPnDdJuZF6AAdJS5IvF1dX/R1KfpmUR3oJhKur8nIMJWtGpK5CzndZtRGu3l9X23a8l479V4SrcyvpYEKOqyaQnhFnJes+JCCMjIwstqxk2lbJ+/Xr1+c+KniumjSoj7f7abh7hVYYD4zuYECPmIJgYVzvECzckYE/43KBSP/iPQu6DmO+HdkmE8Lyrcj0cTymI9fHBy/0vAS60Qgfu4Yb/z2MmJNJsMIPuQhFPgJRD0ehw6JCBHmOBVLLYILh9VsQ0bSolofvOT8f/JzzO7G6vtup5qm1wYI0cKVmQQqRJQdfrvwvXrxYXZGWlBfn3oGSpL6hJpMoXeokJM1HahSkISxX5OU1SUO/ZPBQmdcpAYCcuz/++EMFIr/88ouqj5Cr6ZJ+4yD7euedd8oMvCoaNFWW4wqIBC+jRo1CVSsv0HS+OkO12x3tjejX2IDfj+loE2FA1/pF3zcBPgasGR+M3/bbcCBZg9HfjPXHNMzeaEWI1YZ0P18sblYfvWNTVOWBg5+uI0zTkWIEGmXnICwnEfVxGHkIhAYj/JGpehGOGWIQ3dMPJkM+TD0vheG+/kCzetVyHoiIqOartcGC44qv5J7LTRpykuf/6aef4vfff0ePHj3UOpKGUlJ5V5rlqrqMgFRymclkKhVNl8dRgCyjGUnqUGVIIbGkPEkxbslZpeXqtkT+Jc+Dq6veZb1OKZi+/vrr1U0CihdffFGNKnX77bejffv2aNSoEf788091tcBVT0tlOa7WS86/cw+GkFQyZ5JqJWlbkuok6V8VJdsuSd435/2L8oJIospoGGzAbe1c/z4ZjQZc0cqCK07fv6eTUaUlzdmgq//NulYsUHBol5yCXaEhuGn3AYQiCSZkw1/lNMmMpEYk+DVBxKe3wndEUS0PEVFtYefMzG6plTUL0sB1zrFzNAIdKT/ScJar8tKVJgW9zleEZVQhKY4uiwQbzutLOpD0Wlx88cVq+NKKuuKKK1TajwzRKjmBlblK7bi6XXIdGQ3JVfqPBCZSQyB1AQ4SJEnPizN53HkdIUGQYyhWR2DlKP6VQmZXvROVSUES0uiXegkpEnbevxSBS5BS8rVLHcOOHTtU3YcrknNZkoyU5Hye5WcZjUoCDxmq1kHqHlwFkETnk3w/zbreF0ee9MeGMT4IyM9HaFbR72tITi46HY/Dbbv34YW/NuGC2ETs92uDk/eOgCF+OvSVT8P6y4uod+o5hDBQICKiSqiVPQty1V0alFKfIAGCXI2Wgl1pMMqwp7JcyPCeMvqNDIHZp08fNfymNCAlhWbnzp0uty11CQ899JDahqwvKTrS0JW5FipDindl5CAZ4lXqKqRYWHomEhISVM+HXM0vq56hZ8+eqpdE1pHXIA3erVu3qqv9MsdAyQa8rPPCCy+oIU6loS+B1Hfffaf259ywP3LkiEpv6tevnzoHsl25Ii/nTa6+SwqXkN4FWW/27Nlq9CWpHZDCXzkfu3btUqlfroqMyyLviYwA9fbbb6shS+UYJWiQIUmlF2PPnj3F1pcRmOT1PvvssypNSnp6JPCS90b2LUXnJUdDkuFQJW3JMUyqDJ0q6VwTJ04sVlQt25J0Nfm9kF4TacTJe11y5Cmi86FRmBGNwoD2Wi4Gb1qPtW3a41RIKC45cgxGHcj0LyhqztKAlmmJCGtWH4Z6YTDVCwN/Q4mIyB21MliQxt8tt9yirvg7RimS1Bpp9Mlwn9KwFdJ4lCvMP/zwg8rPl8ahNKqlwVtWsCCNdEn/kYayNGgdk7KVnAitIqQ+QBr30lshw3rK6EhybNJLIcFEWeQ5Ui8gV/Zl+FC52n7hhReqIUNlWNeSIxFcffXVan4ACWxkqFBp+N97773qec4jJ8k+pbBZzoX0rjiOR+ZykHPl3KiWYKFdu3bquL/66itVJyGFURJkPPnkk5U+F5LiJA3yL774Qr0uORZZJsVVMv+BM1kmQ6zKPAw///yzmkBOekBkdCSZmE7Sp1zNjyGTsknvhfQ8SG/Lyy+/XGq0JZnUTXqeZD0JqqT3RnpgGCxQVbq6Xwj05f7473cLsLZFG+yLblTs8dxAP6SbTcjT/OFi4CUiolrJzkxitxh0Vl1SLeZqlmqims6u6Rj2TBxuX7oGBruGg/WKzyRvyrehzaFDuHzSRQh5sCiNjoioNus1rsRQ1uVYM7PidaberlbWLBAReTKT0YBnx9XFmrbtsK9OQxi04vVJ0SfS0CI3G4Ej2lTbMRIRkXeolWlI1UnmATjT0KtSCF2ZYmhPJek8kspUHkltKjmOMxEB3ZubsbZjEHKSMtB+yzHENQyD1WJC1MkM1I1PR/2lQ2CqW7FZ0omIiMrCYKGKyQzPpWZ0LUFmbR47diy83VNPPaXmuCjP4MGDSxUjE1GBkXfVx3tb05BQLwQZof7QTEbE+ZhhybcioE/xSdaIiGo7jcOfu4U1C1VMimidp0p3RQqMpUjZ20mh+JmGIZUC6pKzNBNRkb+m78Uf808Um+nZYrNj/O99YPJxNRsDEVHt1PP++Aqvu/Z9ziztwJ6FKiaj8VABGcKUiM5OQNOgYoGCsJpNyEjMR1gMB0wlIqKzw2CBiMiD1W1ZuqbHL8SMoCjfajkeIqKays40JLdwNCQiIg8W3S4EHQYXzbtiNBvQ/+ELYPbh1zsREZ099iwQEXm4Kx9vgcP6OtjTfXDb+KEIj+YoSEREdG4wWCAi8gKmiDx1C4ryqe5DISKqkWzVfQAeiv3URERERETkEoMFIiIiIiJyicECERERERG5xJoFIiIiIvJ6HDrVPexZICIiIiIilxgsEBERERGRS0xDIiIiIiKvZzNU9xF4JvYsEBERERGRSwwWiIiIiIjIJaYhERF5ME3X8fwaHW+euh12zYixr2noGGPFypvMqBvIPnciIgcb+J3oDvYsEBF5sJf+1PD6HxrsNiOgyV9DHduP29HlM3t1HxoREXkBBgtERB5sxkY7oJdYqAGx6Tq2JpR8gIiIqHIYLBAReTDz6W/xwTt3YdmHn+CXmXNw31/rAF3H5D/tiMtkwEBERO5jzQIRkQe7xN8Ky+ZdmLH4u8KrPx3jf4bFBMww9cThdDs238mveiIiK0sW3MKeBSIiD5a+PRn/t3RlqS/zUX9tUP9vSQDTkYiIyG0MFoiIPJA9x4aFt/6Je7/5GynhwaUezzUX9SZ0+8yO2VtZ8ExERJXHYIGIyAP9c+9ahC/cg6OtovFTpw7IcQoOxJtX9S782aYDY3/WsS9ZhksiIqqdrAZDhW9UhImsVCvcd999iIuLw9KlS6v7UIjOifz5B5BYNxSa2YSfWzXB/Aub466/1iMw34pvul6I31pfUOo5/12n4+Or+QYQEVHFMVigKrdnzx6sWrUKQ4YMQUxMjFe8A7///rt6Tdu2bcPJkycRFBSE5s2b4/bbb8dll11W3YdHXmLTSR1Pr9awNV7DRz4W5JpNWNihKbZFR8KuAU8OHAT4mABfk8vnf7JDx2c7bRjTyYAZVxph5NUzIiI6AwYLVOX27t2LOXPmoGvXrlUWLMyYMQO6fv6GkPzvf/+LwMBA9OnTB02aNEFaWprqxXj44Ydx//3345577jlv+6baITNfx4AFdiTlyD0DvuzbAceiQrC5YZ2CFSQ+MFuAvPJrE+w6MHOrjphADS9c5jqoICIicmCwQLWCxWI5r9t/+eWXcfHFFxdbdvPNN+PWW29VgdGIESMQEhJyXo+BvNuKw/rpQKHAV307qrkUipGegjJ6FUr66F8dL7DTi4hqEWt1H4CHYrBAVWrWrFmq8SzGjRtXuHzw4MGYPHkyUlNT1TqrV69GUlISIiMj0bt3b4wdOxZhYWGF68tV+ylTpqgegy1btqj7sr5c1R89ejQGDhxYoZqFY8eO4aOPPsK6deuQnJys9tGuXTuMGTMGbdu2rfDrKhkoCD8/P/Tq1QtffPEFjhw5go4dO1bqXBE5++uEi54xV2lEsloFavOOZQD1ZthwKgdqToZgS8H/d7Yz4P96GWE2ssCPiIgYLFAV69+/PxITE7Fo0SLVqG/WrJla3rBhQ2RmZuLuu+9WDfihQ4eiTZs2qr5hwYIFWL9+PebOnatSfZy9++67yMnJwfDhw9V9CQaef/555Ofnq5qI8uzcuVOlCNlsNlx33XVo0aIF0tPTsWnTJmzdurVSwUJZEhIS1P8RERFnvS2qvX46rOGNDXpBT0J5dQZSuJBjA4J8zrhNSUdKON1TkW8Hkk5nL722XkeARcekyxgsEBERgwWqYi1btkSnTp1UsNC9e3d069at8DHpJTh69Ciefvpplbbj0KpVK7z22mv49NNPVePemfREzJs3TxUUCwkaRo4cibfeegtXXXWVurrvitQvSE+G1WpVQYgcl4MEMZqmnZPajF9//RUXXXQRGjRocNbbo9rrmz1nqLeRIMEmNx3wP/uUu693a5h0GUfWJiLvks1BHdzCvwZUY8hoQuHh4bjhhhuKLb/xxhvV8t9++63UcyQ4cAQKQn4eNmyY6iHYuHFjmfuSHouDBw+q3gfnQMHBaDy7j0ZKSgqeeuopFaxMnDgRNYmkW+Xl5RXelx6djIyMwvvSKyMpXc4khau8+/Hx8cUKyLmPc3uuAuFUrOD03PDsTHz5xdv47NN3US8jEwY/E2A43QNxFqIC+J6X937w88HPOb8Tz+3ng2o2g34+h4ghcsFRbzBz5sxiPQs9e/ZUqT8ffPBBqefIaEK7d+/G2rVri21j2rRp6Nu3b6mg48knn8SECRNw0003uaxZ+Pnnn/Hss8/iueeeU8HIuSQjIUkPiNQpvP322y7rGYgq40iaji6f2ZGcc/rr+vTVsQVzp6HlyXhcft9LyAgLOCcn1WQAlt5gxNXNeS2JiLxL2CPFA5nypE6PPK/H4klY4Ex0jgOFBx54AIcPH8Ybb7zBQIHOiSahBmwdZcIb6zV8u0dD3d37sScyBtft3IA3LhmCnADfsp/sos6hjh/wcFcDMvKB5Yd0NAoGWodLj5oBt7U14qJ6rFcgIu+Tw682tzBYoCpnKCNnUPL65Wq8FBybzUW/mnJfahlc5f1Lo7ykQ4cOFW6vLI0bNy6sKzjXgYLs//XXX0ePHj3O2baJGgYb8FZ/k7ppd/+Cu45dhMSAYERlp8MoNQtqogUXSnzeLEZg590mRAUULH+1D88tERGVjf3MVOX8/f3V/1JX4EwmNJNc/++++67Ycrkvy/v161dqWzJSkuRMOsjPCxcuRHBwsJr0rSxSNC0zLC9ZsgQHDhwo9Xhls/PktTz44IOqDkKKsSWliuh8MT45FOP/XoaPu12D4bv/xgUn4itcp/DQRYbCQIGIiOhM2LNAVa59+/aqgFjmN5BGtgQP0gswatQo/PLLL6qxLQXIrVu3Vv8vXrxYzZ9w5513ltqWzIsgz3MMkyo1CVIsJUXFZY2E5OjdmDRpkuoJkOc7hk6VQi0ZOlV6BWRUpYqSQEFqKmR+B3lNP/zwQ7HHZQQoGR6W6Jxo1wg33/0wOpzIRlJQXTy17md8mXUx/mreEmZoMMKG5KDSkwD2awS82Y+zNhMRUcUxWKAqV79+fbz44otqyNKpU6eqNCPHpGwffvhh4aRsctVfJmWT0Y1kUraScyyI8ePHq0nZ5s+fr0aVkfQimU150KBBFQpa5BhknytXrlQ9EhJ8yPLOnTtX6jXt2rVL/b9ixQp1K0kCEwYLdC5lx0QhKTURO+u3UDf5Mu8Vm4q9YYE4EBXs8jm9GrJHgYhqr/yKzFhJpXA0JPKqEZWIaotPd9jx1PwcXBSbWphPmmM24s/GkciXEgYfY7F6hWAf4MC9JtRhChIR1VKGR5MrvK7+NidTdWDPAhGRB7qzvQn1A/0x7Asz6mfkwmoyIDbEHzaTESpayNUAiwEwG3FdC+Djq00I9+NVNSIiqhwGC0RlkGLp3Nzccs+PxWJBaGgozyFVi36NjDCHmLHft2hiQkWKnaXe2abDZAHev4qBAhERs5Dcw2CBqAwy4duyZcvKPT9dunTB7NmzeQ6pWlhMBrx8uREP/SJ5R6fZdcDuWMGIR7saEB3EHgUiInIPaxaIyiDDoJ46darc8xMSEqJmnSaqToPmW7F6rw0mTYNNNyDXbEJwgBHf3WhC/8YcIZuISBgeq0TNwlusWXBgzwJRGWQeBrkR1XRd6wErjliKLbs4xsBAgYiIzhovORERebj7OwFRhozC+wFm4KWe/HonIipGRoir6I0KsWeBiMjD1QsEXghahE3WpujcvRdGtDGjQTD/2BER0dnjpSciIi/gZ7DhMp/9eLAzGCgQEdE5w2CBiIiIiIhcYrBAREREREQuMVggIiIiIiKXWOBMRERERN6Poxy5hT0LRERERETkEoMFIiIiIiJyicECERERERG5xJoFIiIiIvJ+nKvSLexZICIiIiIilxgsEBERERGRS0xDIiLyAroOpMbVwSsvxCIlS0ejFv64a1QUIsL5NU9EVIB5SO7gXxEiIi8Qu6MV4k7FwGayqfupGzLx1PZsvPdeU/j7sxOZiIjcw78gREQeLiXRiuS4urAZi1810/I0LFqaWm3HRUREno89C0REHih7w0kkvLkJeX/FIifRjgE+Qfiza0uEpWUiK8APcfUiYTebkJpmr+5DJSKqGZiF5BYGC0REHib956M4NGgxLJoVufCFLp3EkRra7jtauE7dxBT8dWFr9O8dVK3HSkREno1pSEREHibh9c0qULDCpAIFST9KCfIrtk5IZg4OA/h5e361HScREXk+BgtERJ5k8yFEbV6LejiADD8j/I1pCDYlA4bS/evhuflYdVSrlsMkIiLvwGCBiMhTrNsHXPocwhIP4d/gVmiTexxNtHg0sSYgIje92Kp2oxENNTsO78/Hq7/mVdshExHVGIZK3KgQgwUvdN9992HIkCFVus/JkyejW7duFVp3w4YNat2lS5eWu4yISpj+PZBvQ7o5CH55BvijKAjocWoXGmaegtGuIdfXByca10PdnDyE2GyY81M2TyUREbmFBc5EZTh8+DA++OAD7N69G6dOnYLNZkP9+vXRs2dP3HnnnYiKinL5nHfffRebNm2C1WpFmzZtMHbsWFx88cU8z3R2NA361sMwwA6LlgeLbkUiIpEHHwQgB4kRgUiqF4FTgVHItfgg389XXRwzajqy83TM3GjDuK78yiciosrhXw6qEbp06YK1a9fCbK45v5IJCQlITExEv379ULduXZhMJuzfvx+LFi3CTz/9hC+//BIRERGF6x8/fhz33HOPWk+CiaCgILXuQw89hHfeeQfdu3ev1tdDnk1/4hMYdhaMduSn5cEEM5IQqe7vaNAMO9o2LlpXL/gn1c8XWRYzUvwteORHGxKydLzY21Jtr4GIqHoxv8gdNadlRrWa0WiEr68vapJLLrlE3VwFNs8884xKmRo1alTh8vfeew8ZGRn47LPP0Lp1a7Xs2muvxU033YRXX30VCxcuhMFFESrRGeVZgf+tKLybhkjpXyi8f6hx3WKry69ZjsmIv+pHwWoAGtitOGD2wxv/aHixN883ERFVHIOFKpCfn4/PP/8cP/74o7r67OPjg4suukilp0iainPe/rhx4zBp0iTk5ubiq6++Qnx8PBo1aqSuTvfq1Utd2Z4+fTq2bdumrsIPGjQIjz32mMsr8rKvN998Exs3blT3JRXm0UcfRcOGDYutp+u6ash+9913OHTokGq4t2vXDmPGjClVh5CXl4eZM2di+fLlqmHcokULPPDAA2W+9lWrVmH27NkqPSc8PByDBw9Wr70k59fuqLdwXibHKOfw2LFjiIyMxIgRI4o11B0WLFigrvjHxcWplKGRI0ciICAAU6ZMUcdd0bqK8sh2hbx+h5ycHKxevRpdu3YtDBSE7Pv6669X+96xYwc6dOhw1vun2kG3a8B7PwEzfwEys4F8a9FjqtxMRzAyEYBsXHZQw4bmrbGnTl1srxuBg3WCkWs2It3PB1azEQbV1QBk5QFTP0/D0chAbEgCcm1AmwgDHrzIiD6NGMgSEVFpDBbOM8lzHz9+vGrcX3PNNeoqc2ZmpkpPkZSVOXPmqIa5s/nz5yM9PV01MiWw+Prrr/Hkk0+qq9Mvv/wyBg4ciD59+mDdunXqMWmE33vvvcW2IY1XCUakcSqBxtGjR1VDevv27fjiiy+K5du/+OKLWLFiBa644grVUJdcewkGHnzwQbz22mtqXw7PP/+8CgAkcOnRo4cKSJ566inExMSUeu2//fYbJkyYoB6T45P0HLka/8cff1TqHEogk5ycjKFDhyI4OFgdm9QF1KtXTwVLDp988om6ui8BmBy7BFxylV/Oz9mQAEnOp/wvwZSkFAmpXXDYt2+fCgo7duxY6vmOAGHnzp0MFqjiHvscePdnpwXSmC9o9IcgCRFIRhgKAtY2J4+iSXI8Rt5+D/5oWR+a0UXDX9cRlpWHl474ICe+aPH2RB0L99nx8wgj+jfmmBdERFQcg4XzTBrzcmVfGrfSuHYYPnw4br75Zrz99tvqyrszKaaVgEFy3h09ArfccotqlEvA0L9//8Jt3H777WrdksFCamqqes4TTzxRLH1GtiH7e+655wob9NL4lvs33nhj4bpyRX706NF444030Lt3b5U+8/fff6tAQXoHZPQj5+1KMOPMbrdj2rRpCAkJwdy5cxEWFqaWDxs2TG27MqR3RQIdx/m47rrr1DHIuXUEC2lpaSrwuuCCC/Dhhx8WpjRJwCX7PBvS4/L6668X3pfg5z//+U+xHhJ5z4TUNpTkWOZYh+hM9Nx8YM6qsh+HASHILLbM35qP3of3YHW7Rq6fZDAgz8+EHEPpgEDTgf9t1tG/qOyBiMj7sAPVLbyMdJ5JQ7xp06Zo27atasA7btLjIAWvW7duVVfAnUlD2NEwFi1btkRgYCDq1KlTGCg4dO7cGUlJScjOLj00Ysk0HSnUbdKkCX7//ffCZT/88IPadt++fYsdn/R+SO/BiRMnVK+EkEBB3HHHHcW2K8+V7TrbtWsXTp48qXoDHIGCkNdV2ca79HY4nw8/Pz91Bd9xXEJ6WeTKvwRQzrUP0oNy9dVX42zI65sxY4YKfiQ1S45FzpEzx3tosZQuHpXeIed1qpv00si5cpD32jmlSnpI5HfKmaR1lXdfAjpJFeM+zs25ykzLAGz2Mt5BE3IR4vIRs72s5xTQyqmZyZQApZzj5ntegJ8Pfs75+Tj3fz+oZmPPwnkmaSvSELjyyivLXEcano48eNGgQYNS68gVekm7KUnSchxX1iU/3nm5q6E9mzVrphr9klbj7++vagmysrIwYMCAMo9PGjMSDMTGxqp6hpKBgWO7R44cKbwv64qy1q0MV+cjNDRUvWYHCWrK2p+rZZUh591x7iVwkIBNRjuSxr/0vjgCGCEpXCXJl6fzOtXNeQQn4RyIOYIbqQtxFh0dXe59599f7uMcnKugIOi3XgZ86pyyZ4YOKwzQEYg0pKIBgpBT+KjNYMQfzVqr+gS9jKAgODMftlA/FA8LCjzQtfgAA3zPnd4PJ/x88HPOz8f5/XxQzcNgoQpIaowUIZelZE695Pa7Ig31sjhfqawMeZ7sX2ohyiJFzNWprPNRXaSnR4qYJTXKESxIr49juNWSHMsc6xBVyKzRQL0QYO4aiTiB9k2QuC4LAbYU+CAPKQiD9fQcC3aYkKaHoPfu40gJDMShOsFI9bVAMxlU+pFJ0xGUnY9L9Vw0D9NxsE4QtqQYYNOAZqHAw12MGHoBO5qJyNsxD8kdDBbOMxnJKCUlRdUdlNfYP9ekW1DmCCjZuyA9HXIlU3oVHMcn6TyS1uPcM1HWFX5N01QPQskAQrZbcl3h3NtQ1rrnguNKheyv5ARoro7hbElvkXPPhgSEckVFCshL+vfff9X/JQvZicpj8PMBXrul4HZazvDvcXLh/sK6hTSEqpvDhcfigBA/xMf64X+dWhUuH3z0JHbUDcXtg0MwvHf5n3MiIiJnvJR0nsk4+5K/JyMQuVIyt+9cksJiZ1LMLA1n59GN5PgkAJBRhM50fI7nyQhDziStqWSDXGo0JHVnyZIlxfL7Jb9RRjc616T+QxrrcrXfOf9bAiapG3GHPNcVGdL1wIEDxUY+kkBLajykmH3v3r2Fy6WWRAqkGzdujPbt27t1HEQOEfcX/c7pp0dGKroPHG1QcHFgf2BRQFAvJw8Jof6oAzuuuKhmpMIREZHnYM/CeSYjEknxrcyNsH79enXVWwqKpaBH7ksDd9asWed8v1JU/Ouvv6oReGTsf8fQqZJLKEOqOkgthRQQf/PNN9i9e7dq8MpzJXVGhnuVoVEXL16s1pXRnOTxZcuWqavql112mXr822+/VT0N0oB2Th2S1Ktnn31WFVrLqESyTIIHqTc41wVNcsxSfCyFyDIkrRQ1S02BDFErNQsybGllJ0SbOnWqChjkPZOcSqk9kMJtmb1ZggOZs8KZDFEr76n8f+utt6r3WfYv74GMesUJ2ehsBV3RGI0XD0HCjfNx0h4Gf1XDAORbzDjYuB6MGtBxxxEkN8nHmsbRiE7PRISuo0GkEa8+EI7wYF4fIqJajFlIbmGwcJ7JZGnSUJSGuow85AgMJH9drjTLyEfng6QZvf/++2pSNuk1kNoEaexLA75kapJMeiaTlUnDVuYqkCJdCSoc8xU4e+WVV9R2ZYK5f/75RwUJMqyo3HcOFhyBiKReffDBB2q4Vkl/ckzKJg3qc03qB6SBPm/ePPWapYEvIzfJa5dgobIzRMt8Ft9//7163ySVTBr7sk0ZYlYKnEsWZUlKlwzbKsPkOs6jnEOZl0F6PojOhZChzWHp4Ye4tQYkGEMQYc+G2aqj1YGiALxNUADaJ2egQXIqTJod9w1vgubR/LonIqLKM+juVsYSeQiZWE56TiSgcTVCFJGnOf7samx/oyD1L8CejyCtaHwjm9GI9Rc1xYnQYGSaTNjfqC6+ndEEfn7sVSCi2s3wTNEwr2eiTy0YbZLYs0BeRGoVSvYeSBqR9A5IDwgDBfIWJzYV1eVkGy1q/gSTUUN6eCAON45Clr8vonJyEWoxo1EHXwYKRETkNvZLk9eQ4mKpDZF5EGTWZJl7QYqLZU6J8ePHq3UkNch5FKOyyHCyNW3IViIHg8Wpl8BgQK7BgtTIABxpUzAfiMGuFY6YFBxSeqJAIqJaiTULbmGwQF5DagYaNmyoai8kIJDicRmu9K677iqsGZAZs8eNG3fGbUkhdkxMTBUcNVHlNbm/NRJ/PlEwBNLpkZCS6p+e1VnXYbLbVW9DYlAArr2yaGhVIiKiymLNAtUq6enpakSjM+ncuXOlC6KJqlLiyhM48N9tyD2YgSyzCf80qoNMiw8CrVZoRiP2h4fix/p18MANYfi/K3z45hBRrWd4thI1C6+wZsGBPQtUq4SEhHBkIvIKUVfGqJsjve63GUvwxuF+pdYL9mW/OxFRAX4fuoPDYxAReYGWAUkI9SsqfBZ+gSY83J3XhIiIyH0MFoiIvMTkJssx9CIfxESZ0ae9H3Y8GYwAC6+kERGR+3jJiYjISwSYbFhwqy8sFo6ARERE5waDBSIiIiLyfuxodQvTkIiIiIiIyCUGC0RERERE5BLTkIiIiIjI+xmYh+QO9iwQEREREZFLDBaIiIiIiMglBgtEREREROQSgwUiIiIiInKJwQIREREREbnEYIGIiIiIiFzi0KlERB7InmPDzqnbEb8iFn4x/rC0NsHazF7dh0VEVHNx5FS3MFggIvJAW57agKPzDqmfM/dnIPQvfyQ/mlXdh0VERF6GaUhERB5Gs2k4tvBIsWUGqwHmLX7VdkxEROSdGCwQEXmY/Bw7NE0vtfxQbAts/ze3Wo6JiMgz8pAqeiMHBgtERB5m8w8JsOTaii3L8bXgaEwdfPVlSrUdFxEReR8GC0REHibxaA5apB/CBfk7UdcWB3+fNDQ078N1/y7ESls+fF/JgXmaFff8aENWfukeCCIioopigTMRkYdp65uEFtgMQ8bpBWnAofA6GDDuLeRZfArX++hfQIeGjwaZqu1YiYhqDGYXuYXBAhGRh2lxcAeOhURjaZuByLP7IzA9DwfrhaDDiVTYLCbsiwpBto9FrfvFTh0fDaruIyYiIk/FNCQiIg/ze0o0vrxoJDICIpAf7I/U6FB02x2Pp7/6HcHp2YWBAnQd+RqwLo6pSERE5B4GC06WLl2Kbt26YcOGDfDG/Xm6WbNmqfN14sSJ6j4UompjzdPw14lQwFDUn64bDTjePApBmfm4ZsPeopVPr/PCH5ysjYiI3MM0JKJK+PLLLxEcHIwhQ4bwvNF5d/iz/djx7Hq0SdyCRtZjMEUFwvboUOj2iKLUW02HOS0XdRLTEFc/BN+3bQbEZ6jl8LcAIb7YGM9EXSIi1iy4hz0LRJXw1VdfqR4hovMt62gmtjz6D1ombkeLvAPw0fJhSkiB/3NzEZNe1Lvmk5aDpnFJ8LPaEB/ghz/rRQJ2XSqbgWwrkJ6H5FzgYIrGN42IiCqNPQtUY2RlZSEwMLBK9mWz2WC32+Hr61sl+yOqrMOf7JeSA8RYY0s9dlHsNqxoVQe6bkR4albh8r8b1YPulJ6k5FiBcH/c9b0NPRqZsCtJx74UoFt94M1+RtQJ4DUjIiIqG4MFF3Rdx2effYYFCxYgISEB0dHRuPvuuzF48OBi661btw6ffvopduzYgfz8fDRu3BjDhw9Xt5IWLVqEzz//XOXb16tXDzfddBOCgoJcvin79u3D22+/ja1bt6rG7OWXX47HHnsMV155pTqGyZMnF1v/p59+wtdff62eJw3gCy64AHfccYdavzKmTJmCFStW4LfffitsRG/btk299pCQEKxcuRJGY0HDYu3atXjkkUfw3//+FwMGDChsgMtr/P777xEbGwt/f39cdNFFGDdunDomBzkHQ4cOxZgxY9CsWTN1Dg8dOoSrrrpKvTZN0zB37lx1zhITE9GwYUOMHj0aZ1PrMGfOHHWOFi9erF6HbPd///ufqoGQ87d8+XLs3bsXycnJCAgIQOfOndVxt2zZsnA7sq6Ii4sr/FksWbIEMTEx6uedO3fio48+wubNm5Gdna1+d6699lqMGjUKZjM/blRxp1bGIs/XCJvhdLGykwy/YPhl2hAdm4g0P7/C5aF5+aU3dPozuybeiDXxRYXOu1OAb/ZoOHAv0DCEAQMR1QZMyXQHWy8uzJgxA3l5ebjxxhvh4+OjggZpxEqjVRqR4ttvv8Urr7yCjh07qsa0NIwleJg6dapqKEtD2jnP/c0330SrVq3w4IMPIjc3VzWqw8PDS+376NGjuPfee1XAMnLkSNSpU0c1zMePH+/yDZQGrzROL7vsMtW4lca8NPafeeYZTJgwQQUlFSUNYEmxkSDlkksuUcv++ecftc309HTs2bMHbdu2VculKNtgMBRrNL/wwgv4+eef0b17dwwbNgxJSUmYP3++auhLY71NmzbF9vf777+rBrysKzdHr8Jbb72l0n26dOmCW2+9VTXgX331VTRo0ABnQ45PgqDbbrtNHXtUVJRa/s033yA0NBQ33HCDWnb8+HEVqNxzzz3qfZIgULz00kvqfQwLC1PvuYPjffzjjz/w1FNPoVGjRrj99ttVgLV9+3YVrEggIq+BqCLStiYjeXsatCAzEnwaITg3HSa9II0o0xKAdY26oOG+JBg0HQGZ+bCbDTDpOvofiMXyVo2RFFgUQCCkaN6FkmSkpKdWa/hqMIMFIiIqg06FlixZonft2lW/5ZZb9Pz8/MLlJ0+e1C+99FL92WefVfdPnTql9+jRQ3/uuedKnb3XX39dv/jii/Vjx46p++np6XrPnj314cOH6zk5OYXrxcfH65dffrna3/r16wuXP/3002rZ5s2bi233mWeeUcsnTZpUuGzXrl1q2XvvvVfqOB5//HG9d+/eemZmZoXfYXmdJbc3duxY/bHHHlPb+uSTTwqX33bbbf/f3n2AR1G1bQB+N50kkECk994UlI40RQUEFFGwoojSxK4IIkpRED5EEVEJKKAIWABFQVGQDwSlfiAIIii9dwIJ6Zv5r+fwzzo7O5tsNm2Tfe7LGDI7OztnZnb3vOe854x27733Ov7esGGDei72MyMjw7F87969WosWLbTHH3/csez48eNqXSw/cOCA0z4cPHhQa9asmTZ48GAtPT3dqaxYjufh+dkRGxurnjdgwAAtLS3N5fHExESXZdgvnPMJEyY4Le/evbvajllycrLWqVMnrX///i6vMW/ePJfzXJDOnz+v9lcXHx+vrlNdSkqKdu7cOafnnDhxItO/T5486XTe+Ro5O1YHvtqrLSq1QJtf8QttXcwMbVazr7X1VSZoa6q/rU3qsEob03G9trDM59qimAXaD8FztS+iv9Deq7VMm1xvufZe5e+0Wo8f0eTVeE3GJ2nyVlqmP63mpfGc89rl+5yfiQX62Z5f5LVEj3/oX2xOstC7d28JDv63679MmTKqdfno0aPqb6SxIO2oR48eEhcX5/TTrl07lUaDFnnYuHGj6knANsMM6QJIRerSxflOSUghQi9Cw4YNHT0YOrSGmyF1Bi3kSHMx70f79u3VGAC0bHtKL6c+lSt6V/D81q1bq1b+LVu2qOXx8fGqpbx58+aO565Zs0b9Ros79kmH3hQck+3bt8vFixedXg/pVUhDMvc24P2M8gYG/nvXWfRKoMciJ9BLYZUKhF4hwOsmJCSo44fegqpVq8quXbs82jZ6ldCTglmS9G3oP23atHGs4wtKlSrlNFYD6XCY4UmH3rSYmBin5yCdKrO/y5Ur53Te+Ro5O1aVOlWT4KCr64QnJsmFsJLyS422sqFqC0kKDpfgDLukhAaLFmiTjACREldSpdbhC9Jg/1mpcu6ynK8YLRIVJhKSdefxww1sPOe8dvk+52digX62k29jGpIFq3QXpKmcOnVK/fvQoUPq95AhQ9weWKTOAFKSoFq1ai7r1KhRw+lvVKaTkpJUJdXM6vnI80cF12qMhA4V2OxAALBkyRIVaCD/HgEDliE4mj59uqSlpcnWrVtVQGRMQcI4BKQrmSv/ejkRTOBYGFOv9PQeo8yOF7aN4MtbVq8He/bskdjYWFUuHH8jT1OfcC70VKXcOhfkv4KjQqTWCw1l15Q/ZX9UaWn51175o2Z1iQ8Pl8i4BLGHBsnZ8lFyzelLYrNrEpJol6B0TU6WjJAZ3ZrIxcgwkZR0kWC0B9nUf6FBNkkx3W7h3joiQ274NygnIirSOGTBKwwWLOiDeM1QMTf+xoBgPe/dLKf59Z5CxP/ee++53eeaNWtma3sIDBYvXqwG6GJwM8ZMoOKOYAFjCdDTgB4GtPo3bdo0R/tu7GnJD1avhwBw4MCBarwExiigrFgPx/Xtt992CR7c0a8JjFVBb4oVHEsiT5W9tYLsfudPNePRqcAoKXfgnJQLFunSJ0Rmro2W9OAgOVUpRo1b0BAPZGiytnpF2Vq3wtWbsYUGqTs4x5y9Iq1r2uS7gSUk1S4SYBO5kpohxUMDJBB/EBERZYLBghcwgBUw0DWr1Bg9aEBvhD5oWHfgwAGnv9HqjpSYw4cPu2xH780w78f69etVF55Vi7430FuAijLSqBAY6L0HmBUI5UWggDSlunXrOnU9opzobUALu3EGIWOruycBlPF4YUC51XZyEwaDY9YiDFw29pTApUuXVJeqkbE71qrXAucvp+lSRBDTNEYqdKkoJ3682tumBQRInUH1JGRAdUlfu0lsCFBtSEOyqVsq2AJELkWGiD3Q0HBgs0lcqWLy1M2B6tpF/ADRxdibQEREnuGYBS9gik9UIjHLDcYjmCFnHS3xgIoj8vswK5Bx3dOnT6tpSo3QWo9ZjTAVK3L8jebPn+/yOl27dnXM3oTxDrmR9oKAANOcYmYfpCHp4xL0mY8wXgNBjrli3aFDB/V7zpw5jlZ22Ldvn6xdu1aNwbCa/ckM28FrobzGMiFVSB8Hkpv0HhnjPgNmQ7I6fggGMDOUGcZ1IJfzk08+UUGGGc49UruIsqPVrDbS6uM2Uv/FhtLuq5uk0ejrJSUyQg6WKS34hEkJCpIzpUrKqTLXyJmYkhJk0cduDwqUstEMDoiIyDvsWfACBidjatJx48apgcuotGPADsYcoHKM/HwEB5h7H9NnPvHEE+q+CRj8i3VRccTUq+gZwHSkRlgXefnPPPOMmvYUg45RccdAWXPLNgZCI4Vm5syZavAu7quAVBfcQ+Cvv/5Sg6W9yfFHIICpS8E4iFkPFszLoVWrViqIwj0LMAAag5f1qVMRWA0dOtSj10YaEI4ppjPFsejYsaMa/4G/0WNhPl45hcHH06ZNk1GjRqnjjd4STB2LHhv0bJiDMEyVi3s1YPwGenNwPjCYHEEE0tJQTkwDi/tI4PziWKCXBD0Yb731lkuQRZSZgKAAqXRHZfWjiywRJGElw+RIegmJCAlWPQ5gDwqShucSZE2tDLEb0hKjQ0UaMQOOiIi8xGDBS6gMIvUE8/Cj4o9KIVrlMTgZlVzjbACYcx+VSbSWoxcAwQaWYRYB84BYVJZR+Z86daqqsOs3ZRs+fLiafcl8x2EECw0aNJAvvvhCrY8ce7RwY6yCpxV0MwQC2BZSgoyzFuhpVJhRCDdbM3vjjTdUetKyZctUcIQyYxYlHA/jTdmygv3G8UPrPo4DKt0oP+5BkdvBAgICjPnAeUGvCHoaGjdurHqNJk2apG7AZoRB7eg5QBCEc44eCdyUDWVF7wJuJocfzFSF4BHBIl4DszuZ07OIvNWifUn59ucACU9Jc1qO/oNaJ+NkX9losQfYpEyEyE+9AiXATfocERFRVmyYPzXLtajAoacAd2V+6qmn5NFHHy3o3SGiAvTjknOydP4ZCbFnOCUe4cN8ebnSkhQUKK/1jJD+N1+dFpiIiERsYzybtER9no7h56eOYxZ8kHkcBOK5uXPnqn9z8CwRxcdhWqMANbjZaF9kuAoUykXZ5N5Wzr2QRERE3mAakg/C+AOkAiF1B2lF69atU1OZYkxA/fr1s709pM3g/giZwXShSIsqTAEVBpJnxd3UtkSFWXLi1bE06YGBYrdpEqBpkhwYIPuLR0pxe4Z8/mQpKVGMbUFERJRzDBZ8EGYEQoDwww8/qAG2GCg9ePBgr9OPXnrpJdm2bVum63Tv3l3GjBkjhcXKlSvVgOKs6HejJipKmreNko2/XJ2VSwuwiV1scjYsTMI1Ta6tFig1yvGjnYiIcgfHLPjJeAer6T6NMIuS+Y7SvgwzPu3fvz/L9Zi2RUXV2h8vyNLPz0picoZcKhYihyKCpXyJc/LuCw2lYmmmIBERmdnGuk537442On9vHOvLGCwQERVySDPEbF7Qr18/CQ4OLuhdIiLyOQwWvMOkViIiIiIissRggYiIiIiILDFYICIiIiIiSwwWiIiIiIjIEufXIyIiIqKiz/k+luQh9iwQEREREZElBgtERERERGSJwQIREREREVnimAUiIiIi8gMctOAN9iwQEREREZElBgtERERERGSJwQIRUSF3IVlkb3o5ScgILehdISLy7SwkT3/IgWMWiIgKsdk7M+TJn0WS7V0lSNIlbKfIkCYFvVdERFRUsGeBiKiQupCkyZOrMiTZfrUZLF2C5PlfRM4magW9a0REVEQwWCAiKqT+OKtJcrrzslS7TbafYbBARES5g8ECEVEhFWz5Ca5J5eL5vy9ERFQ0MVggIiqkjsRbLbVJYjpH5xERUe7gAGciokJq82G73PXHVnlu7U8SqIl83PwW+bR5C4lRkyLx452IiHKO3yZERIVU1R/XyzufTXXM8tf66E4pdXmg7DmlSdUpnQt474iIfAw7Xb3CYIGIqJDqvehbGX9LT3m7/R2SEhQst+zbJeOXLpGpkbdKyyvpEh3Bj3giIsoZjlkgIiqEElI1+bx6Y3mt8/0SFx4pSSGhsqxBUxl87yPSec9+eeAHzohEREQ5x2Yn8gsDBw6UkydPytKlSwt6V4hyxdKdqfJ+m84iNud+9Q3lqsu2O8pLyvZU6ZZkly/vC5XIUPa9ExGRd9izQPlu7969MmPGDDlx4kSRPfq//fabNGvWTP3s3r27oHeHioCktAzZeCJD/jmfLj8fSpc5uzU5VjzKeaX0DNzKWaUkwQ977dLv65SC2WEiIioS2LNA+e7vv/+Wjz76SJo2bSoVKlTIl9f84IMPRNPyJy0jKSlJJk6cKOHh4ZKYmJgvr0lF28h1dpmwSROnK1gLFDH3GKRmuDx30S67VJySItsGBEvZSLYPERFR9vCbg/xCcHCwhISE5Mtrffjhh2K326Vnz5758npUNO27qMnqIxnyxxm7vGkOFMCYfoRAOC3j6m+zAJucSBK5YU6aLNiVLv/sTJCzx9nbQEREnmHPAuUrpB+hVwEGDx7sWN69e3cZM2aMxMXFqXXWrl0r58+fl5iYGGnfvr0MGjRIoqOjHetj7MHYsWNVj8H27dvV31i/atWq0q9fP+ncubNHYxaOHj0qs2fPlk2bNsmFCxfUazRo0EAGDBgg9evXz3b5kHL01Vdfyfjx42X//v1eHCHyd+gBG7AiQ2btvFrxD/fkUxqBQ7r9//+tbuL8r2KBUkzS5WRKqDz0o0hoWrD0+32/tG9TXO57upIEBHA8AxH5CdMYL/IMgwXKVx07dpRz587JN998oyr11atXV8srVaokCQkJ8thjj6kK/J133in16tVT4xsWLVokW7ZskU8//VQiIiKctjdt2jSV9tOrVy/1N4KBkSNHSmpqqtxxxx1ZVuyfeOIJSU9Plx49ekjNmjXl8uXLsm3bNtmxY0e2gwVsZ9y4cdKyZUu59dZbGSyQV5Yf1ByBAiSme/Ak9ChoIhFpaZIRGihJtsCrAUNwgEhQgCRJoGPVlOBA+alWBYlYc1SubVlCrmtlGvdARERkwDQkyle1a9eWRo0aqX+jUt21a1f1g2UIBo4cOSLDhg2T1157TXr37i2vvvqqvPTSS3Lo0CGZO3euy/bQE4HnPfroo+oH/y5XrpxMmTJFkpOTM229RU9GWlqafPLJJ+o177nnHhXAIAC59957s122efPmyeHDh2X48OHiy9CDkpLybxoKgrT4+HjH3wi00EtjhF6ZzP4+deqU05gQvob3x+q3I9lMEcK2UjOkbHKSJEYVk6RioSJhQSLFglSgYOVMhLrFsxzdl6R+85zz2uX7nJ+JBfnZTr7NpuXXqE8iUwpRbGysmi1Ih+AAlf/ly5dLUFCQU4v97bffLiVLllQpPsZtPPXUUypIMJozZ45KT5o6daq0adPGMg1pz5490qdPHxUgjBgxIsfn5tixY3LfffdJ//79VcBhTLlCkIPUJiJPLD+QIV2/dh2o7FaGpmZACg6xSVrQvz0IUOn8JTkW49pzUP1CvNz91zHpO7wKexaIyG/Y3kz1eF3tlfwZ51gYsGeBfAamUsWYA2OgAPi7SpUqcvz4cZfnVKtWzWWZntpktb4OqU5Qt27dXNhzkTfffFMqVqwoDz/8cK5sj/xXl+o2GdDIpoYeQOliIs3Lul8/JC1NkGVkDhTgmsRkqRh3XipfPOtYFpaWLp3/OSlNb4qWhi1K5EURiIioCOGYBaIcWr16tWzevFlGjRrl1L2K8Q9w5swZKV68uAomAgIYn1PmbDabzOwUKMNbaHIsXqRVeZHQIJusOGSXzovQ4+A8QC/IpsnCT6dJvwcGyYXIcMfygIwMiUmIk4Sw4rKvdAW5rarIYw1FmmXYJapvTSld4WoqEhERUWYYLFCBVIasoDKNnH+kHZnTkDCWAY+bYSyD2cGDBx3bcwc9Ffo9H3JKDxBef/11y8eHDh2qfv/8889OMzoRZaZmtE1qGi6XTtUCZX43m/RfbpekDNvVsQo2mySGhMoH7W+T6YvmyrM9H5JTUcUlPCVVap69JKvq1xVJtUu/hiIfdQ6UQDXzET/2iYjIc/zWoHxXrFgxp5Z3XYcOHdR4gyVLljhmNwL8ffHiRbn77rtdtoWZkrBuZGSkY7DV4sWLVUs+bvrmTp06daRGjRry3XffqbESmAnJCEN53AU1Zu3atZMyZcq4LEdwgJ+nn35aBS7mmZyIsuvB+gHSq45NDsZp8vuJDHngx6uDm1dUqCMr7q4jUelJUvxcgiRHhcnOSqVF7BkyrKnIfzrzo56IiLzDbxDKdw0bNlTpOLi/AQIGBA+oTPft21dWrVolkyZNUlOmYjwBfn/77bdqLMMjjzzisi201ON5+jSpGMCMmRUwi1JYWJjbfUAgMHr0aBkyZIh6vj51KmZ1wNSprVu3lvvvv9+j8lSuXFn9mOn3WWjevDkHOFOuCQm0Sd0Y29VgNi1VJOnfuVUvBYSp+ypIUKAE2DOkbx1Nxt3KQXpEROQ9BguU7zC1KfL7Mc3pxIkTVZqRflO2WbNmOW7KhlZ/3JQNMxbhpmxWLfNotcdN2RYuXKimdEN6Ee510KVLF4+CFuwDXhM9AOiRQPCB5ddff30elZ4od9QpZZPg1HRJMy2PSEyS0nEJ8tuoilIhimNkiIgoZzh1KhWp6VeJ/EnNseflQJpzD1p0WqKEJyTJH5MqSUwEgwUiIp1tQjamTh3BXlkdv0mIiAqpDsUuuSyLi46SnvUDGCgQEVGuYBoSkRsYLJ3ZXaAhODhYoqJcb3pFlB86VNRkTkawmvFIcHvN0ECJTkuSsb1L8gQQEVGuYLBA5MbkyZNl2bJlmR6fJk2ayMyZM3kMqUCUbF5V6uw4Ln+X+Xea4JZ/75W/0ppLW54TIiITz2Y5JGccs0DkxoEDB+Ts2X/vfGulRIkSUr9+fR5DKhAr99mlW+wlaRZ3VEIkQxK0INlappocGB4h1aOZZUpEZGSbYJ4Swj1tRDAP3v9jzwKRG7gPA36IfNWZ+AxJCwqWDdcYrlNNJCkFOUlEREQ5x6YnIqJCqkXlQNzE2ck14SI1Y/jRTkREuYPfKEREhVTtawLkzc4hEhx49e8wW5pM7xEsoUHMyyUicmHLxg85MA2JiKgQe/mmUOnT2Cbvzv1eqoRelB4NHi7oXSIioiKEwQIRUSFXNtImdYplPhifiIjIG0xDIiIiIiIiSwwWiIiIiIjIEoMFIiIiIiKyxDELRERERFT0cZYjr7BngYiIiIiILDFYICIiIiIiSwwWiIiIiIjIEoMFIiIiIiKyxGCBiIiIiIgsMVggIiIiIiJLnDqViIiIiIo+Tp3qFfYsEBERERGRJQYLRERERERkicECERERERFZYrBARERERESWGCwQEREREZElBgtERERERGSJU6cSERERUdFn49yp3mDPAhERERGRB8aMGSORkZF+dawYLBARERERkSWmIRERERFR0ccsJK+wZ4GIiIiIKBfs3LlTOnfuLBERERIVFSW9evWSI0eOOB5//PHHpV27do6/z507JwEBAdK8eXPHsoSEBAkODpaFCxf6xDlhsEBERERElENHjx6V9u3by/nz52XevHkSGxsr27Ztkw4dOkh8fLxaB49v2bJFkpOT1d9r166V0NBQ+f333x3rrF+/XtLT09W6voBpSER+RNM0x4cRFR1paWmSlJSk/n358mXVIkVEVJgUL15cbIV8tqIpU6aoz+MVK1ZIqVKl1LIbbrhBGjRoIJ988ok8/fTTKgBISUmRTZs2qSACwULPnj3Vc3777Tfp0qWLWlanTh0pW7as+AIGC0R+BIECukWp6HruuecKeheIiLLt0qVLUqJEiTw9ctrQvK32rlu3Tjp27OgIFKBevXrSuHFj+fXXX1WwUL16dalUqZIKCPRgYfDgwarB55dffnEEC77SqwAMFoj8rOUGH8j+ADmf3bp1k++//94vprnzt/L6Y5n9rbz+WGZ/Li++nwq7ixcvyvXXX++yHD0EFy5ccPytBwnoCd6xY4cKDK5cuSKLFi1SvQ6bN2+WAQMGiK9gsEDkR9DFm9ctN74CA8YCAwNVef3hS9ffyuuPZfa38vpjmf25vIU9BQnQo3DmzBkxO336tEor0iE4eOGFF2TNmjVyzTXXqN4HBAvDhw+X1atXq4DBOAi6oHGAMxERERFRDrVt21ZWrVqlehh0e/fulT/++EM9ptN7Et555x1HuhF6JIoVKyYTJ06UypUrS7Vq1XzmfLBngYiIiIjIQ3a7XaUMmT377LMyZ84c6dSpk4wcOVLNePTqq69KlSpV5NFHH3Wsh56EMmXKqDEK7733nlqGHpY2bdrI8uXL5aGHHvKpc8FggYiKpJCQEJXzid/+wN/K649l9rfy+mOZWd7CITk5WXr37u2y/LPPPlMBwNChQ1WFHwHAbbfdpnoQzGMy0KOAgMM4kBljGRAs+NLgZrBpmEuRiIiIiIjIhGMWiIiIiIjIEoMFIiIiIiKyxDELRFQoYY7q6dOny+HDh6VcuXJq8Nidd97p0bzeyB/FlHXp6enSqlUrGTZsmJq+Tjdjxgz56KOPXJ778ssvS69evSSvHTp0SCZNmqRm0IiIiJCuXbvKkCFDsrwzM7JKP/30U1m4cKHExcWpqfowPd91113ntN7Zs2fV9nEH0aCgILn55pvl+eefL7CpGvOyvP/73//UDY/MkEc8YcIEKUzlRTlxh9ddu3ap8mLWlFtvvdVlPV87v3ld5qJyjs+dOyfz589X5+3YsWPqfOHuv0899ZSUL1++SJ5jT8vsi+fYnzBYIKJCZ/v27fLSSy9Jjx495MUXX5QtW7bIG2+8IeHh4ZaVJ6MRI0bIgQMH1G8MJvzwww/lmWeekblz56ovXV1oaKjExsY6PbdixYqS13CTHnwpYvaMt956S83ZPWXKFDWgDnNwZwYVZwQ6+KKtXbu2qmjh3/gyxh1DAQESlsG4cePUdqdOnapm7Hj33Xclv+V1eXWjR492moowOjpaCkJOyosbVwFmTNH/beZr5zc/ylxUzvFff/2l5thHowcCXgRHH3/8sfTt21e+/PJLKVmyZJE7x56W2dfOsd/BAGciosLkySef1Pr16+e07JVXXtF69eqV6fN27NihNW3aVNuwYYNj2cGDB7VmzZppK1ascCyLjY3V2rZtqxWE2bNnq9eOi4tzLFu8eLHWokUL7cyZM26fl5ycrLVv3157//33HctSU1O17t27axMmTHAsW758uSovyq3D8cBx2blzp1bUyrtlyxZVtj///FPzBd6WF+x2u/p9/PhxVaaVK1e6rONr5zc/ylxUzvHly5e1tLQ0p2WnTp1S5/Ozzz4rkufY0zL72jn2NxyzQESFSmpqquqSNvcgYF7rgwcPyokTJ9w+d/369Wr6upYtWzqWoZUK6StIdfAF2McWLVpIVFSUU1d7RkaGbNy40e3z0PWPm/wYjwu6/5GeYCwbto9WeGPrHI4HXq8gjkFel9fXeFte/W63nmzfl85vfpTZ13hbXnw2GXs3oWzZsqp1HWlHRfEce1pmKliF711IRH4Nea3ohjff3bJ69eqOvFl38FjVqlXFZrO5PNf8vJSUFFURxZcw5tP+5ptvcrUcme2juWz4QsWYiqzKBlbH5dSpUyodwHgMjHA8sCyz7RfW8hpvloTKDPKokbJhftzXy5ud7fvS+c2PMhflc4wxWRcuXHB8vvnDObYqs6+dY3/DMQtEVKggNxbMN7gpUaKE0+Punmt+nr4t4/MqV64sTz/9tNStW1f1ZPz4448yfvx4NTj64YcfzsXSeL+PVs/DGAyMtTA/DwOB4+PjJSwsTP222j6OX2bbL6zlxYDJRx55RJo0aaLWxfiWefPmqV6oghqj4U15PeVr5zc/ylxUzzGu48mTJ0vp0qWlc+fOfnGO3ZXZ186xv2GwQEQFDpVwzIqRlfwYYAxotTJq27atpKWlyaxZs+SBBx5w6TYn31WvXj31o2vevLlq7cSsLZhh59prry3Q/aOcK6rneObMmbJ582aZNm2aFCtWTPyBuzIX1XNcWDANiYgK3M8//6ymJM3q5/jx444eBAQYRnrrlf64FTxmfp7eUpfZ8/T8Wzz36NGjkpe83Uc8hl4QpE+Zn4cUBb3VD7+tto/jl9UxKIzldXcuYc+ePZLfcnINesLXzm9+lLkonmOkPWL65ldeeUWl3fjDOc6szL52jv0Nm8eIqMDddddd6scTqCCiZR95sK1bt84yh90Ij6HVCl3dxnELeG6tWrXEF2AfzTm+es9LVmXT830xYFuHbeE+FEjJ0dfbt2+f03NxPPA848DvolJeX+NtebOzfV86v/lRZl+T0/JiKlHcTwJTkWJ6aH84x1mVmQoWexaIqFBBnnqzZs1k1apVTstXrlypBsRVqFDB7XNvvPFG1fqGgEGHL9i9e/eqedwz89NPP6kWPYxnyEvYR+wfWuSMPS+YFQY3kHOnUaNG6kZIWFeHgeD4EjaWDdv/559/5MiRI45leL1Lly5leQwKY3ndnUto0KCBFJbyZmf7vnR+86PMRekcY6a3kSNHqsaT/v37+8U59qTMvnaO/Q17Foio0MEXyqBBgxx3c926dasahGy+kyda2bp16yajRo1yVDDRG/H666+ru53qN2XDNISYclPXp08f6d69u2oRw2wb2DYqobgBXF6PV7jnnnvUzYjwWo899pi6uRFm/bj77rvVoD/dE088ISdPnpQlS5aovzHor1+/firnF9MOoqcENylDBQLl0eF4zZkzR921+sknn1TlwwBBjMsoiLzfvC7va6+9pm7QhnxnfWDkggUL5KabbiqQSoa35YXdu3erqYFx4ypArjag/E2bNvXJ85sfZS4q5xiDdYcOHaoaJDBuaufOnY51UV79RoNF6Rx7WmZfO8f+xoabLRT0ThARZdcvv/wi06dPVz0DSDt59NFHXbqv0QOBSv+YMWOcusbfeecdVfm32+0qoMCXrvELDXd3/vPPP+X8+fPqb1RE77//frn99tvz5UThCxR3Qd2xY4dqPUfAM2TIEHUfAd3AgQPVl+7SpUsdy/Bx/sknn8iiRYvk4sWLKj3nhRdeUEGSEb7Isf1NmzZJYGCgCpSwHmYcKQh5WV5UqpYvX66mU0UKG3qeunTpogIN4/YLQ3lxHS9btsxle5ghBkGTr57fvC5zUTnH+D127FjL7Zk/x4rKOfa0zL54jv0JgwUiIiIiIrLEMQtERERERGSJwQIREREREVlisEBERERERJYYLBARERERkSUGC0REREREZInBAhERERERWWKwQERERERElhgsEBERERGRJQYLRERFAO5gbbPZxBfs2rVLgoKCZOXKlY5la9asUfuHOy6Tf8M1gGsB14Q3eC1Z2759uwQEBKi72xPlJgYLROSzDhw4IAMHDpR69epJeHi4lCxZUurXry99+/aV1atXO61brVo1ufbaa7OsTJ87d87y8b/++ks9jp9169a53Y6+jv4TFhYmtWvXlhdeeEEuXLiQg9IWHTgWbdq0kdtuu038waFDh2TMmDGqskb+IS4uTp1zbwOevLjWrr/+ernrrrvkxRdfFE3T8nW/qGgLKugdICKy8r///U86dOggwcHB8sgjj0jDhg0lKSlJ/vnnH1mxYoUUL15cbr755lw7eLNmzVLbLFasmMyePVvatWvndl18KeMLGRAg/PDDDzJlyhTVkr5161YJCQnx25O6YcMGdRyWLFnitLx9+/bq/OF8FjWowI0dO1YFrLg2yD+CBZxzuOmmm3zmWnvuuefU5yY+k7p165Zv+0VFG4MFIvJJ+EJMTExULWiNGzd2efzUqVO59lppaWny2WefSe/evSUqKkpmzpwp7733ngoerFSsWFH69Onj+PuZZ56RO+64Q5YtWybffvut2o6/+vDDD+Waa66Rrl27Oi1HegR6YYgo76CRA4FEbGwsgwXKNUxDIiKfhB6EmJgYy0ABypUrl2uvtXTpUjlz5oxKb0K60pUrV+TLL7/M1jY6d+6sfu/bt8/tOtOnT1epS999953LYxkZGVKpUiWn1kL0oNx3331So0YN1eMRHR0tnTp18jgnGS2eqDhYtU5iP5DOYITUBexj06ZNVdpXZGSk6r0xp3y5k56ernoUbr31VpceBKs8c+MyBBl169ZVAcV1112nAi/YuXOndOnSRUqUKKGuBwRmCO6syom0tR49eqiAD+v37NlTLTMf5/Hjx6ueDlxD6AWqUqWKPPHEE3L+/HnLci1evFi9Bo4/jgv2E/uRmpqq9l3v4erXr58jPc2T1mach4cffljKli0roaGhUrNmTXnllVdUkGyE84Rt7t27Vz2O6wTr472BFuTsjBNYtWqVvP7661K1alV1TbVs2VI2btyo1sF11bZtW4mIiJDy5cvLG2+8YbktnGOkmWE9XCP4N4JkKx999JFKI8T+1qpVS9599123KTKXLl2S4cOHq/WwfunSpeWBBx5wOYfZ5elxzmzcD5bjcf26rV69uqNRQz/n+nvN+P76/PPPpVGjRuq6xnWGZXifePM+9eRaw9/4LPrxxx8lISEhR8eNSMeeBSLySfhCR+Xo66+/lrvvvtuj59jtdrdjElJSUjJNQcKXP1rl8GV7ww03qFSk/v37Zyu4AbSqu3P//ffL888/L3PnzpU777zT6TFU4o4fP+5Ib9IrB0hzQhoWKoh4/OOPP5ZbbrlFVeAzS5XyBipUqNz06tVLVUZwzObPn6/GHuA8mPfZDClYqKC0aNEiW6/7wQcfyMWLF9XxRqUKvTqo6C9cuFAGDBigKozIxUbwNG3aNClTpoy8+uqrTttAgIdKEyq/EyZMUOcDAQgqwr///rsjuEQF/6233pJ77rlHBRao8G7ZskVdA7/++qtLGtnIkSPlzTfflAYNGqhzh0r0/v37VQCBSjeCDlQ8sQ7G1+jnBBXTzBw+fFgdJ1SQhwwZosa9oBKKff/tt9/U9YBB4kYIZhGEDR06VJUDFW8cl7///tuysmnl5ZdfVu+TZ599Vm3j7bffVgEorsnHH39cleGhhx6Sr776SkaNGqXeF8ZeNBzTJ598UgUAeFy/TrEfM2bMUM/XYf9wzBDU4Pigcj558mR1/sxwHG688UY5cuSIPPbYYyrt8OTJk+r1cE6RlogAJ7u8Oc5ZwbgppB2ibLhO9c8nBE5GaBRAoIPjhesPfyO4wD7NmTMn22Xx9Fpr3bq1Ohe4nhFoE+WYRkTkg9avX68FBwejCVKrXbu21q9fP+3DDz/Udu/ebbl+1apV1bpZ/Zw9e9bpecePH9cCAwO10aNHO5a9++67al2r18LyTp06qe3g5++//9beeecdta9RUVHa6dOnMy1Xr169tNDQUO3ChQtOy/v06aMFBQU5PT8hIcHl+adOndJiYmK022+/3Wl537591b4ZdejQQR0Xs4MHD6p1jWX++uuv1bIZM2Y4rZuWlqY1bdpUq1atmpaRkZFp2WbPnq228e2337o8tnr1avXYnDlzXJZVqFBBi4uLcyzfsWOHWm6z2bTFixc7badJkyZauXLlXMqJ9Z999lmn5XqZBg0a5FiGMiQmJrrs38cff6zW/fLLLx3LNm3apJbdfPPNWlJSktP62I5+PKzKlpUHH3xQPef77793Wj506FC1HPujw3nCsm7dujmdg82bN6vlL7/8cpavh33DujfccIOWkpLiWI5zheW49rZs2eJYjnVwnFu1auVYhms2IiJCq1mzpnbp0iXHcvy7Ro0aWmRkpHbx4kW1DL/Dw8O1+vXra1euXHGse/ToUbUNvCaOm+6ZZ57RwsLCtO3btzvt96FDh7TixYur61uXneOdneNs9R7SYblxH6zeQ+bHAgICtK1btzqW49zddddd6rENGzZ49T71pOzr1q1T60yePNntOkTZwTQkIvJJaB1DKy9aU9EqiJY4tAyihRctbFapCWhdxeBaqx+0nlpBqyhSU9B6r0PLKlpw0btgBS3cSJHAT506ddTsP9gvLLdqNTVCedBib0xzQmv8N998o1oBjc9Hq7dxHaTJBAYGqpbWTZs2SW6aN2+eGqOBFmL0zug/GMiJ8RhIidB7T9w5e/as+l2qVKlsvTbSO5A6pEPaBtKIKlSo4NKrhDQZjFexSrFAq7kRWn2RMmQcbI2eI6TfAFrYUT6Us2PHjmqZ8biiVwXQCm0eb6GngHgD1xtamdGDZR7bMWLECDW+A9eDGXoDjK/ZvHlz1Zqd1XkxQrqVsedEb53GNdWsWTPHcqyDFnnjtvE+Qg8OUrBwfnT4N5bhnPz8889qGd4L6ElAqzpSt3ToIcP7ywh1cRxrvK8xHsh4/eE90KpVK7W9/DrOuQU9ck2aNHH8jXM3bNgw9e+8fF2k6wFSK4lyA9OQiMhnIXddz3FH1z1yqpGGg6lNkUJiThlBxQL58u4qw2aopCAgQOUUFQvjeAPkYWPQMyqK5jQFVKzGjRun/o0caKRHIB/ZE3pAgLSPwYMHq2VIaUElzBiwANJdkAbz008/qUqtUW7fUwFTx8bHx2eaPnP69GkVHLmj71N2p23EmAwzTJNbuXJly+WAwMmY9oHxBFbjWJAygmABx1cPvpBig/QbpCeZxz8gHUqHijLK5G7cjLcQVKFijVQbMwRaSHWyCoatjhMqhu7GWlgxb0M/nnoOvvkx47YPHjyoflvtt75M32/9N9KVzBBYm48HXkcPwq2gYp9fxzm34NpzV/a8fF39/ecr912hwo/BAhEVCqiQozKNvHq0hiLfePPmzaql2VsIPlAhB+QyW8FAW7S2G2FcgrugJCsIPB588EGVz43gBIM5ETigYmYcE4BKDlpaUcnFdIgInNDyj0oTApj//ve/Wb6Wu8qCeYClXsFARW3BggVut5fZfSxAr+hl934T6C3JznLwdh55jL3AoHG0mk+dOlUFJOg1QC8DAjkEjbnVg5Db3B2P7BwLb451XtP3H+8pDHAuKNl5v/jy6+rvP3eBF1F2MVggokIFX6xo2UewgAG/OYFeBfQMoLJu1XI5aNAgNfDVHCzkFFKRECzgdTGAFwMuMWAR+6LDwMsTJ06ofcRgYyPz4F530HqK3hczq1ZNBEsYKIuUD/NATU/pwUR20mJyC3pekJ5k7l1Ajwl6cvReBfQWITjAAHFjesyePXtctolelOXLl8uOHTsyHbSd3WAClTgEfn/++afLY+jZwMBeX7xfg94rgf3GIHuj3bt3O62j/8Zxdbeu8XigZ+jy5cteB+G5cZz19DlUto2pdFbvF0/OOa49M/Nxyu771JPX1XtIswruiTzFMQtE5JOQH23VsoYbe+n5y+Z0huzAOIhFixapsQz33nuvmgHI/IOWflQWUanITaigIPUJqVGovKI1GwGEVUuvudUYZfd0vAIqu0gtQg+MDq+FmVzM0GuDx5DL7S4FKSvIDUf+uj4VZ36bOHGi09/IC8eMWsZgD8cVFS5jDwKOsZ5WZoQeIMAMNJg5yEw/N3pw5WmPCgJTjANBGhSmuDSXAfuG8Ra+Bjn4CLowIxWuKx3+jWU4Dvpdu/EbY0Mw05VxitJjx4659F7heGAcA65TvCeteJN/n93jrKfY6eMudEhZM/PknOMzbNu2bU7Xy6RJk9S/jddkdt6nnrwu3n/owUQqJVFuYM8CEfkkTEuIPGZU2JGCg1bgo0ePqooGWsBRucVyb2GKUAQemELTHTyGMROffvqpy+DZnEJwgGlS//Of/6jKAlr0jZBehVZyrIPBxRgYihvUIbhAuXH/gaygtwIVHVSIMDgW4ztQGbMKwvTpUt9//31VwenevbtKt0LlDndlRmtlVnnWqIhjQDLGCGAQt7GnJK9hX5FihN4YTKGqT52KMRjG+0mgnBgjggHNuIYwZgH7a55zH9CbgLQYnCMMVEX6Es4JcvdxHFG5Q4s4gla0YOP1cJ1iGXoz9EHTVjD9JSqTqDRi4D7S0dauXasGviP9zBw8+gKUC5VdDFpG755+3wG8R3B9YLpOfaA60upwnwZM84opUXGscYxxszD0YqECb4R7X6C3EIE7fvB+wPWKsUq4lwTu/WG8R4ensnOcMUUvAkO8b9AjghZ/BBlW0zFjrAi29cUXX6hpnnGdIZBCcKLDWBdcAzheGB+Be1EgEEEqJSZw8OZ9mtW1hoAE+4yUOm97CIlcZGvuJCKifPLTTz9pQ4YM0Ro1aqSmCsX0pqVKldJuuukmbdasWZrdbndaH1MPNmzY0O329GkR9alTmzVrpqaLNE9hapScnKymbaxTp45jmT6FZU5hClS8PrY3btw4y3UwhWjnzp216OhoNS0lplhcu3at5RSP7qZ9xJSRjRs31kJCQrTy5ctrw4YN0/bs2eN22se5c+dqbdu2VeXGFK84rj179tS++OILj8qlTze6aNEij6dOtZoGEq+L8prp04hiWknz1JP79+/X7rzzTrXvOF749z///OOyjZkzZ6opPVE+TA86YMAA7fz58y7TY+oWLFig3XjjjWqbmA60bt26appW4xSkOM6YlhTbxHas9t3swIEDasrc0qVLq6l3q1evro0YMcJpqlF3Zc7qOLmbOtU4XanOXbndXVOYkrZ169bqWOAH//7mm28sXzc2Nla9f3D9YcrVKVOmOKbYNe8Lyv36669r1157rZpGFce7Xr16Wv/+/bWNGzc61svuVLWeHmfA6+Bc4zzicwfXBqaBtTpGuNaxLo4BHtenPzVOeYpr57rrrlPlr1Spkvbaa69pqampOXqfZnatrVmzRi1btmyZR8eGyBM2/M81hCAiIvIOWjUxMBuzVuUH9CSg9wU/RAUN1yFmlxo9erTLXdLzGnon0AOLGw36ysB8Kvw4ZoGIiHIVUiqQuuTN3PhE5B2kdiHVCe8/BgqUmzhmgYiIchXmtc/r6SaJyHWCAfPUv0S5gT0LRERERERkiWMWiIiIiIjIEnsWiIiIiIjIEoMFIiIiIiKyxGCBiIiIiIgsMVggIiIiIiJLDBaIiIiIiMgSgwUiIiIiIrLEYIGIiIiIiCwxWCAiIiIiIksMFoiIiIiISKz8H16dGkyen2OEAAAAAElFTkSuQmCC", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "##openai\n", "shap.summary_plot(shap_value[:, :, 3],x_test_df)" ] }, { "cell_type": "code", "execution_count": null, "id": "80d87a74", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\tarin\\AppData\\Local\\Temp\\ipykernel_12564\\1981954101.py:1: FutureWarning: The NumPy global RNG was seeded by calling `np.random.seed`. In a future version this function will no longer use the global RNG. Pass `rng` explicitly to opt-in to the new behaviour and silence this warning.\n", " shap.summary_plot(shap_value[:, :, 0],x_test_df,plot_type=\"bar\")\n" ] }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "shap.summary_plot(shap_value[:, :, 0],x_test_df,plot_type=\"bar\")" ] }, { "cell_type": "code", "execution_count": null, "id": "672b9d79", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\tarin\\AppData\\Local\\Temp\\ipykernel_12564\\805819628.py:1: FutureWarning: The NumPy global RNG was seeded by calling `np.random.seed`. In a future version this function will no longer use the global RNG. Pass `rng` explicitly to opt-in to the new behaviour and silence this warning.\n", " shap.summary_plot(shap_value[:, :, 1],x_test_df,plot_type=\"bar\")\n" ] }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "shap.summary_plot(shap_value[:, :, 1],x_test_df,plot_type=\"bar\")" ] }, { "cell_type": "code", "execution_count": null, "id": "5460e7fa", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\tarin\\AppData\\Local\\Temp\\ipykernel_12564\\2992479946.py:1: FutureWarning: The NumPy global RNG was seeded by calling `np.random.seed`. In a future version this function will no longer use the global RNG. Pass `rng` explicitly to opt-in to the new behaviour and silence this warning.\n", " shap.summary_plot(shap_value[:, :, 2],x_test_df,plot_type=\"bar\")\n" ] }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "shap.summary_plot(shap_value[:, :, 2],x_test_df,plot_type=\"bar\")" ] }, { "cell_type": "code", "execution_count": null, "id": "f1e632c8", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\tarin\\AppData\\Local\\Temp\\ipykernel_12564\\2197854459.py:1: FutureWarning: The NumPy global RNG was seeded by calling `np.random.seed`. In a future version this function will no longer use the global RNG. Pass `rng` explicitly to opt-in to the new behaviour and silence this warning.\n", " shap.summary_plot(shap_value[:, :, 3],x_test_df,plot_type=\"bar\")\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "shap.summary_plot(shap_value[:, :, 3],x_test_df,plot_type=\"bar\")" ] }, { "cell_type": "code", "execution_count": null, "id": "a062c57d", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "['ttr', 'word_lenght', 'rare_word', 'hedge_word_rate', 'filler_phrase_rate', 'contraction_usage_freq', 'em_comma_ratio', 'bullet_count', 'avg_sent_len', 'sent_var', 'pass_active_ratio', 'sub_clause_depth', 'para_count', 'para_lenght_avg', 'embedding_0', 'embedding_1', 'embedding_2', 'embedding_3', 'embedding_4', 'embedding_5', 'embedding_6', 'embedding_7', 'embedding_8', 'embedding_9', 'embedding_10', 'embedding_11', 'embedding_12', 'embedding_13', 'embedding_14', 'embedding_15', 'embedding_16', 'embedding_17', 'embedding_18', 'embedding_19', 'embedding_20', 'embedding_21', 'embedding_22', 'embedding_23', 'embedding_24', 'embedding_25', 'embedding_26', 'embedding_27', 'embedding_28', 'embedding_29', 'embedding_30', 'embedding_31', 'embedding_32', 'embedding_33', 'embedding_34', 'embedding_35', 'embedding_36', 'embedding_37', 'embedding_38', 'embedding_39', 'embedding_40', 'embedding_41', 'embedding_42', 'embedding_43', 'embedding_44', 'embedding_45', 'embedding_46', 'embedding_47', 'embedding_48', 'embedding_49', 'topic_0', 'topic_1', 'topic_2', 'topic_3', 'topic_4', 'topic_5', 'topic_6', 'topic_7', 'topic_8', 'topic_9', 'formality_score', 'polarity', 'subjectivity_score']\n" ] } ], "source": [ "feature_columns=x.columns\n", "feature_columns\n", "print(x.columns.tolist())" ] }, { "cell_type": "code", "execution_count": null, "id": "0ec5b980", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "['claude' 'gemini' 'groq' 'mistral' 'openai']\n", "{0: 'LABEL_0', 1: 'LABEL_1', 2: 'LABEL_2', 3: 'LABEL_3', 4: 'LABEL_4'}\n" ] } ], "source": [ "print(le.classes_)\n", "print(model.config.id2label)" ] }, { "cell_type": "code", "execution_count": null, "id": "0b089959", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Index(['category', 'true', 'pred'], dtype='str')" ] }, "execution_count": 155, "metadata": {}, "output_type": "execute_result" } ], "source": [ "test_df.columns" ] }, { "cell_type": "code", "execution_count": null, "id": "364c3542", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "the fear of disappointing family members due to poor academic performance is a common concern among students. this fear can stem from the pressure to meet high expectations and the desire to make their family proud. students may feel that their academic success is a reflection of their family's values and reputation. as a result, they may experience significant stress and anxiety, which can further exacerbate their academic struggles. it is essential for students to communicate openly with their family about their academic challenges and to seek support from teachers, counselors, or mentors. by doing so, students can work together with their family and support system to develop strategies for improving their academic performance and alleviating the pressure to meet expectations. this can help students build confidence and develop a more positive attitude towards their academic pursuits.\n", "groq\n" ] } ], "source": [ "print(text_test.iloc[0])\n", "print(([y_test[0]])[0])" ] }, { "cell_type": "code", "execution_count": null, "id": "46a69467", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Predicted: groq\n", "claude 0.0029\n", "gemini 0.0125\n", "groq 0.979\n", "mistral 0.0028\n", "openai 0.0028\n" ] } ], "source": [ "text = text_test[0]\n", "\n", "inputs = tokenizer(\n", " text,\n", " return_tensors=\"pt\",\n", " truncation=True,\n", " padding=True,\n", " max_length=512\n", ")\n", "\n", "with torch.no_grad():\n", " outputs = model(**inputs)\n", "\n", "probs = torch.softmax(outputs.logits, dim=1).numpy()[0]\n", "\n", "model_names = ['claude', 'gemini', 'groq', 'mistral', 'openai']\n", "\n", "pred_idx = probs.argmax()\n", "\n", "print(\"Predicted:\", model_names[pred_idx])\n", "\n", "for name, score in zip(model_names, probs):\n", " print(name, round(float(score), 4))" ] } ], "metadata": { "kernelspec": { "display_name": "base", "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": "3.13.9" } }, "nbformat": 4, "nbformat_minor": 5 }