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@alperaydyn
Last active September 4, 2019 16:00
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{
"cells": [
{
"metadata": {},
"cell_type": "markdown",
"source": "**Customer Complaints Classification**"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "import sys\nimport pandas as pd\nimport numpy as np\nimport re\nimport matplotlib.pyplot as plt\nimport datetime\nimport pickle \nimport string\n\nfrom nltk.tokenize import sent_tokenize, word_tokenize, wordpunct_tokenize\nimport nltk\nfrom snowballstemmer import stemmer\n\nimport sqlite3\nfrom sqlite3 import Error\n\nfrom wordcloud import WordCloud\nimport rw_webcrawler\n\nnltk.download('punkt')\nnltk.download('stopwords')\n",
"execution_count": 3,
"outputs": [
{
"output_type": "stream",
"text": "[nltk_data] Downloading package punkt to\n[nltk_data] C:\\Users\\alper\\AppData\\Roaming\\nltk_data...\n[nltk_data] Package punkt is already up-to-date!\n[nltk_data] Downloading package stopwords to\n[nltk_data] C:\\Users\\alper\\AppData\\Roaming\\nltk_data...\n[nltk_data] Package stopwords is already up-to-date!\n",
"name": "stderr"
},
{
"output_type": "execute_result",
"execution_count": 3,
"data": {
"text/plain": "True"
},
"metadata": {}
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "# Collect Data"
},
{
"metadata": {},
"cell_type": "markdown",
"source": "## Web Crawling"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "sv = rw_webcrawler.SikayetVarCom('akbank','data/comps.csv')\ndf = sv.run(1,2)\ndf.head()",
"execution_count": 4,
"outputs": [
{
"output_type": "stream",
"text": "..---.......----",
"name": "stdout"
},
{
"output_type": "execute_result",
"execution_count": 4,
"data": {
"text/plain": " id url \\\n0 12529720 https://www.sikayetvar.com/akbank/akbank-kart-... \n1 12529595 https://www.sikayetvar.com/akbank/akbank-kredi... \n2 12528003 https://www.sikayetvar.com/akbank/akbank-kart-... \n3 12527995 https://www.sikayetvar.com/akbank/akbank-axess... \n4 12531322 https://www.sikayetvar.com/akbank/akbank-hesap... \n\n time user \\\n0 2019-09-04 08:33:00 5665673 \n1 2019-09-04 08:16:00 5841213 \n2 2019-09-03 19:21:00 234368 \n3 2019-09-03 19:19:00 5628159 \n4 2019-09-03 09:28:00 2173695 \n\n complaint saved \n0 Akbank kredi kartıma kart aidatı yansıtılmış 1... 1 \n1 Kredi kartımdan kesilen yıllık üyelik aidatı a... 1 \n2 Vadesiz hesabımdan kredi kartına otomatik ödem... 1 \n3 9 yıllık Akbank müşterisiyim Neo kart Axess k.... 1 \n4 Elimde Wings kart ile Free kredi kartı var Fre... 1 ",
"text/html": "<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>id</th>\n <th>url</th>\n <th>time</th>\n <th>user</th>\n <th>complaint</th>\n <th>saved</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>0</th>\n <td>12529720</td>\n <td>https://www.sikayetvar.com/akbank/akbank-kart-...</td>\n <td>2019-09-04 08:33:00</td>\n <td>5665673</td>\n <td>Akbank kredi kartıma kart aidatı yansıtılmış 1...</td>\n <td>1</td>\n </tr>\n <tr>\n <th>1</th>\n <td>12529595</td>\n <td>https://www.sikayetvar.com/akbank/akbank-kredi...</td>\n <td>2019-09-04 08:16:00</td>\n <td>5841213</td>\n <td>Kredi kartımdan kesilen yıllık üyelik aidatı a...</td>\n <td>1</td>\n </tr>\n <tr>\n <th>2</th>\n <td>12528003</td>\n <td>https://www.sikayetvar.com/akbank/akbank-kart-...</td>\n <td>2019-09-03 19:21:00</td>\n <td>234368</td>\n <td>Vadesiz hesabımdan kredi kartına otomatik ödem...</td>\n <td>1</td>\n </tr>\n <tr>\n <th>3</th>\n <td>12527995</td>\n <td>https://www.sikayetvar.com/akbank/akbank-axess...</td>\n <td>2019-09-03 19:19:00</td>\n <td>5628159</td>\n <td>9 yıllık Akbank müşterisiyim Neo kart Axess k....</td>\n <td>1</td>\n </tr>\n <tr>\n <th>4</th>\n <td>12531322</td>\n <td>https://www.sikayetvar.com/akbank/akbank-hesap...</td>\n <td>2019-09-03 09:28:00</td>\n <td>2173695</td>\n <td>Elimde Wings kart ile Free kredi kartı var Fre...</td>\n <td>1</td>\n </tr>\n </tbody>\n</table>\n</div>"
},
"metadata": {}
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "## From File"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "files = ['comps_akbank.csv','comps_garanti.csv','comps_yapikredi.csv','comps_isbankasi.csv']\ndf = pd.DataFrame()\nfor f in files:\n df = pd.read_csv('reviewise/data/'+f) if df.shape[0]==0 else df.append(pd.read_csv('reviewise/data/'+f))\ndf = df[df.id!=-1]\ndf.time = pd.to_datetime(df.time,format='%d.%m.%Y %H:%M')\nprint(df.shape)",
"execution_count": 5,
"outputs": [
{
"output_type": "stream",
"text": "(84811, 6)\n",
"name": "stdout"
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "# Exploratory Data Analysis"
},
{
"metadata": {},
"cell_type": "markdown",
"source": "## Data Stats"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "dfs = df.iloc[:]\ndfs['firm'] = dfs.url.apply(lambda x: x.split('/')[3])\ndfs['month']= dfs.time.apply(lambda x: x.year*100 + x.month)\n\ndfs = dfs.groupby(['firm','month']).size().reset_index()\ndfs.columns=['firm','month','complaints']\ndfs = pd.pivot_table(dfs[(dfs.month>=201805) & (dfs.month<=201905)], values='complaints', index='month', columns='firm').reset_index().sort_values(['month'], ascending=True)\ndfs.month = dfs.month.apply(lambda x: str(x))\n\nfig, ax = plt.subplots(figsize=(15,5))\nax.plot( 'month', 'akbank', data=dfs, marker='', color='red', linewidth=2)\nax.plot( 'month', 'garanti-bankasi', data=dfs, marker='', color='green', linewidth=2)\nax.plot( 'month', 'is-bankasi', data=dfs, marker='', color='blue', linewidth=2)\nax.plot( 'month', 'yapi-kredi-bankasi', data=dfs, marker='', color='magenta', linewidth=2)\n\nplt.legend()\nplt.show()",
"execution_count": 6,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": "<Figure size 1080x360 with 1 Axes>",
"image/png": 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\n"
},
"metadata": {
"needs_background": "light"
}
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "df.head()",
"execution_count": 7,
"outputs": [
{
"output_type": "execute_result",
"execution_count": 7,
"data": {
"text/plain": " id url \\\n1 11926957 https://www.sikayetvar.com/akbank/akbank-kart-... \n2 11926951 https://www.sikayetvar.com/akbank/akbankin-seb... \n3 11926792 https://www.sikayetvar.com/akbank/akbank-uyeli... \n4 11926732 https://www.sikayetvar.com/akbank/akbank-wings... \n5 11926532 https://www.sikayetvar.com/akbank/akbank-aidat... \n\n time user \\\n1 2019-05-05 01:23:00 3557187 \n2 2019-05-04 23:56:00 1833119 \n3 2019-05-04 22:58:00 5925576 \n4 2019-05-04 22:36:00 1347970 \n5 2019-05-04 21:26:00 1339767 \n\n complaint saved \n1 Akbank 'la yine bir sorunla uğraşmaktayım. Yıl... 1 \n2 Akbank kendi kafasına göre Axess kredi kartımı... 1 \n3 Akbank Axess kredi kartı kullanıyorum. 03/05/2... 1 \n4 Akbank Wings kart üyelik ücreti iade etmiyor, ... 0 \n5 Akbank Axess kredi kartına başvurdum ve kredi ... 1 ",
"text/html": "<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>id</th>\n <th>url</th>\n <th>time</th>\n <th>user</th>\n <th>complaint</th>\n <th>saved</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>1</th>\n <td>11926957</td>\n <td>https://www.sikayetvar.com/akbank/akbank-kart-...</td>\n <td>2019-05-05 01:23:00</td>\n <td>3557187</td>\n <td>Akbank 'la yine bir sorunla uğraşmaktayım. Yıl...</td>\n <td>1</td>\n </tr>\n <tr>\n <th>2</th>\n <td>11926951</td>\n <td>https://www.sikayetvar.com/akbank/akbankin-seb...</td>\n <td>2019-05-04 23:56:00</td>\n <td>1833119</td>\n <td>Akbank kendi kafasına göre Axess kredi kartımı...</td>\n <td>1</td>\n </tr>\n <tr>\n <th>3</th>\n <td>11926792</td>\n <td>https://www.sikayetvar.com/akbank/akbank-uyeli...</td>\n <td>2019-05-04 22:58:00</td>\n <td>5925576</td>\n <td>Akbank Axess kredi kartı kullanıyorum. 03/05/2...</td>\n <td>1</td>\n </tr>\n <tr>\n <th>4</th>\n <td>11926732</td>\n <td>https://www.sikayetvar.com/akbank/akbank-wings...</td>\n <td>2019-05-04 22:36:00</td>\n <td>1347970</td>\n <td>Akbank Wings kart üyelik ücreti iade etmiyor, ...</td>\n <td>0</td>\n </tr>\n <tr>\n <th>5</th>\n <td>11926532</td>\n <td>https://www.sikayetvar.com/akbank/akbank-aidat...</td>\n <td>2019-05-04 21:26:00</td>\n <td>1339767</td>\n <td>Akbank Axess kredi kartına başvurdum ve kredi ...</td>\n <td>1</td>\n </tr>\n </tbody>\n</table>\n</div>"
},
"metadata": {}
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "## Sample Complaint"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "df.complaint.values[1]",
"execution_count": 8,
"outputs": [
{
"output_type": "execute_result",
"execution_count": 8,
"data": {
"text/plain": "\"Akbank kendi kafasına göre Axess kredi kartımızın kart tarihi gelmeden yeni kart basıp yollamış, kart PTT tarafından sözde mevcut adresimize ulaşılamıyor diye kartı bankaya iade etmiş iade tarihi ocak ayı bu süreçte ne kuryeden ne de bankadan bize ne bir mesaj ne de telefonla ulaşım sağlamadı kart iade edildikten sonra iptal edilmiş iptalden sonra eşime şubat ayında kartınızı bankamızdan alabilirsiniz, diye mesaj atılmış eşim bankaya gittiğinde adınıza gelen ya da basılan bir kart yok deyip göndermişler eşimin mesajı göstermesine rağmen şimdi soruyorum size; düzenli ödemesi yapılan mevcutta borcu olan bir kartı nasıl iptal edebiliyorsunuz? Yeni başvuru yapıyoruz düzenli ödemeye rağmen ret cevabı nasıl alıyoruz? Ayrıca kartı 30 Mayıs'ta iptal ediyorsunuz ocak ayında basılan ve iade edilen kartı mayısta ne sebeple iptal ediyorsunuz.\""
},
"metadata": {}
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "## Word Counts"
},
{
"metadata": {},
"cell_type": "markdown",
"source": "### Customer Complaints"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "sw = nltk.corpus.stopwords.words('turkish')\nsw = sw + ['',' ','bir','iki','bu','ama']\nkokbul1 = stemmer('turkish')",
"execution_count": 9,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "reviews = [sent_tokenize(str(r).replace('\\n',' ')) for r in df.complaint.values]\nsentences = [s for r in reviews for s in r]\nwords = [w.lower() for s in sentences for w in word_tokenize(s) if (w.lower() not in sw) and (w not in string.punctuation)]\nwords_df = pd.DataFrame(words,columns=['word'])\n\nwords_u = pd.DataFrame(words_df.word.value_counts().sort_values(ascending=False)).reset_index()\nwords_u.columns=['word','count']\nwords_u['stem'] = words_u.word.apply(lambda x: kokbul1.stemWord(x))\n\nprint('number of complaints:\\t\\t', len(reviews))\nprint('number of sentences :\\t\\t', len(sentences))\nprint('number of words :\\t\\t', len(words))\nprint('number of unique words:\\t\\t', len(words_u))\nprint('number of unique stem words:\\t', len(np.unique(words_u.stem.values)))",
"execution_count": 45,
"outputs": [
{
"output_type": "stream",
"text": "number of complaints:\t\t 84811\nnumber of sentences :\t\t 452547\nnumber of words :\t\t 5367405\nnumber of unique words:\t\t 145013\nnumber of unique stem words:\t 76716\n",
"name": "stdout"
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "dfws = words_u.stem.value_counts().sort_values(ascending=False)\n\nplt.figure(figsize=(15,5))\nplt.bar(x=dfws.index[:20], height=dfws.values[:20]/len(words_u))\nplt.show()",
"execution_count": 79,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": "<Figure size 1080x360 with 1 Axes>",
"image/png": 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\n"
},
"metadata": {
"needs_background": "light"
}
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "wordcloud = WordCloud().generate(' '.join(words))\n\nplt.figure(figsize=(8,8))\nplt.imshow(wordcloud, interpolation='bilinear')\nplt.axis(\"off\")\nplt.show()",
"execution_count": 83,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": "<Figure size 576x576 with 1 Axes>",
"image/png": 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nKXTKyuj9Q5VhbMFmdJV25ThnO79Gkg/YnFxjK7pJlPexViNQVL0OJ5qvUPdncaSPEIrAqRHlfR40CllgkvfRT3EfB8WRHs1gicX6JapeBymc0rztPjRBArQppm18PPu9GxaL9QXexROEL54lX+8y/KuffQZ3IJBCoYSDQGKxGFtMn9nuGbLVmmxzneEvf0E9z+n/4sfkvacP53uQ+PZ1wjPP4zRamDRFej7pxir+whLS89j+m++iwgrNV79OMRo8UjCPP3oPb+4Y+qE1bqdWp375VWyhGb77ZqkZPcDj+qMA1q7H+BVFY8bl2tsjfuNfzO9bvwDChsJoy/f+txUm/YI00lgLb3+3i84tN3855uOfDKh3XM5/o4kxlr/813fpLPr8w//8GBu3EqoNh/5Gxg//z3Um/ftt/cmfbHLqco00frI2mESaH/7hOuNexld/d5aTl6vc+sMxv/jLbeZOhju/rs4tP/vTLaoth1d/u0Ol4fDRjwc053w+eKPPqRdrvPv9Lq/94xnmToUICWs3It7///qcvFTlG78/x//yX1/lzT/bIk8tb393m+WPHnakvM/SuQqtOY8P3uizeTvm0rdavPibLd79fimQ3/1+t5yQTGX6YCOjMeOydL6yqxxr4Lv/8wpKCb75H89x7LkKb/3VNm//dRfXP2T0hLWYKEEPxhSbHxK+cgF3cY7s1gre2eM0v/M6OA6jv/ghIvBxPbd0orIW8gI9GJGvbVGtVWj8k99EjyZTrVgQvnKR4NJzWGMw44joZ+9R9IZUf/M1ar/1NcwoQrrluvajKDa7hF95AZsX5GtboCRqrk3tN1/DaTWovHYZ1aqTfnwD9/gCwaXnynVoa0mv3ia7tULt9a/jzndKgV6tkH5yE1EJCL96CXdhBvGNl0naDZL3S+9tPRiT310nePkCwcvnmfzNm098jM+8YPacCoutl7i5+aN9zy9WLvDizLf3HH9z/d8DYK3ZMUfvx6nWazSDY2xMrrI6/BCwzNXOcWlud5kVt0VhEqy1zFTOsDm5visO11jNzd7PWB9/wmzlLIv1SxyrXeRG76eHdNoqNdRTrdew1rI+vkJSjA71fSiXBD7c+Gtq3gwL9YucaL7KXPUcN3tvshVdJ3BqXJ7/NoXJ+HjzB4yzLUK3wbnOb+xb3uOe4WdBKzzB2fY3ibIe76z+MWkxoR7M89LCP92vNZgntMeVPvPhuT3vRlIMuZa+xfrKMlYbZOWzCYHzVYX58Byn6q8QOA1yHbMy+ZA74/dJ9OF/v8MiRDl9MVmGSROElHizC8ggJL59neq5i4QnTrPwe/8caww6Gu9y9DoI0vcJjp9CVmus//G/3deEfbx6iUud395z/KfrfwgY8tSAgDRWpNE+Wup0DmaBG2+PCGsO//K/Okt/PeNP/rvb+zoh+RXF4nMhl369xezxAEQphNKk1LTH3XyXUD4s23cTsliTJRZrLY77+AXaV3+7Q1BTvPlnW/gVVZq0R5o8NcQjjdaWxoxLc85j/nTA5W+10YVl/WZ8KH+uzqLPqUtVzrxcIx5r0onmys+HWGNJI832nfSJVlNrLRu3EnReOtIJwRPX+B9bXpLR+zd/umOuHX33Rzvz0v4f/sWDFQOQXrm5cz5++yPidz4Ga9n+H/7w4YaCgMkbb+0po/e//sneax+FFAjPpegOKNa3wFiKlU16f/Dn5btnKf9nIb+7QfSz9/aUO/jj7zH4k+/dn2/fu5ePbtwvY3qs/wd/vvP3+Hs/eXS7HuKZEszn5n+Lit/ZtS6rhIurwkcK5lJTeTrnMCkUVW+GKO/TjW6TmxhPVfHV3vW9KO+zNblOUoxZqr/Iuc5v8OHmX+2s2d4jzoesDN9nkKyx2LjEUuOlQwvmE81X8J0qa6OPGKSrT/7CI7FMsi63em8yiFc43nyJmeoZtqLrOMqn5s/xwcZfEeVdjC1wZYgj/Ud6oz+eUlA+rN0eDEGgaijhsjb+iKQYA5ZAfcp4Z7H33RBC4s61CGYtql4p4xE/JVIo2sEJzrW+iSdDBBLlOJxufJXMxKxNPiEzD5kCbak547oc2rsGSk9SaxGuD0LgtTs7a23J8i3cmVn8mXl0NKEYDcm6W6Trq2x9/y+weblubA7pwW3yjOjmFYbvvcXs73yHjT//I/Rk8sBAOF34eNL9PDBuWgt5YvArCinLNc+gVv7mw27Oz/9ii+tvj3jp9TZf/84cP/6/N9CFRSmBUuW7lkaajVsx198a8qf/fekbYTQkE/3gGPnUWHNwB+iXXm/jeIIb74wYbGXMnwr3XmRhuJ0TjzW3Pxzz8z/fwlrQRSkQisJOneEeX1d3LWX1esyVNwfceHeENZBnhpklv7zvA99fOeH4zDzYHnzg9hHH9zv/4DWPvHa/4we70+DyOcJXX0CPxuTLq6Um/mAZ+xWzbzsec+2j7gcO5UX/TAnmOBswiFaIH1hn9p0qM/Vzn0t91hqMzXFlgKdCXBnQCpdYqO31PLXWUJicfnwXJVxONF/hbPsfcGX7bwCo+/MIJJmeUJgMJZ0y/Mo82qyyH61gkbnqOTYnV+nFd7BPsUYthaIRHMOYnKQYYazBkR5SOFhTag7GaowpqLgtpFCEToP52vPU/dlDZ+Sy1pAUEwyGdnCcQqdT57DigCZ4i7EaIQSh00AKSeg2WaxfnoZOfbYU2wMKBsjAx0x2C0wpnNLKcghHMleGVJ02vqwipmthAoEUPjV3Bk9V9hHMhrzfRfoBrW9+i/j2DdK1ldJU/OJX8BcWaRY58Z2bTK5f5WEPJR1HFOMRtQuXmXn921PHGQcsZNsb+McWEa5Ltr2JSRPStRXCk2dofe3XAMi21klW7uDUG9Qvv4o3M4u1mnj5FsnKMvXLrxCeOos3O49TqxPfuQnGYpKE5O4yTrVO+5uv0/vpD9Hj4eF/hClFZrh7JeLX/vk8/+i/OE4aaRodD8eLufCNJi/9VhsLVJsOb/zROjo39DcypBJ87fdmaC/5XH97xN1PIk68UOXb/2oJgOWPIj7+yd7lDiGh3nb5xn80y9lXalQais6iz0c/HrB151EWhN0jquNKjp+v8PXvzHL6xSq/+Z8ucPWtEXc+HvPqb3eoz7jMHA84/VJt37VhgO5KWde5rzb49r9aIo0NN3855sM3+nRXUrxA8q1/scDCcyNuvz/Gr0i+/ntznLpc5bf+5TGuvT3ixjsjNpdjnn+twbmv1hlu5Vx7e0QW6z1CwAsk57/e4Ku/O0N7wcP1Jbc/3N9M7nqCs6/U+MZ35jj9Yg2wXHtrxAd/2y8tHl9SdG+M6SVkN+4e2Dv6i+KZEszb4xsUJp06IZUk+fCpHaiehMWyMb7KfO0cZ9rfJDcJuY7pxrepeK1dmvs9tM3pJ3dxVcjxxkss1V9kbfwxvlNjtnJmJ4YZoNApdwbv7vx7oXaBVnicqtum5s+hTY6nKiTFkLXRx4yzLRZqF2n4C7gqoFM5w70eNs62ud37+c7a+eMQlGFOM+FppCydKwSCSdZlc3IdgFzH3Bm+y0x4ioY/T2Ey4mLIJOtxqKkdpSNZWoy5O3iX+dp5ZqpnKUzK2uhDtqNb0/CwC9S8MgY5cGqcn32drJiwHd+iG91mlG3Si+9wrH6JTuUM2uYM03UawcKh2/NEtCm9QLN8l+OXowJmWxfI8gnjaG3HOe5JSCFRQu0I5QdRwt037A7ApAmDN98AKdGTMXoyxuYZw1++hfzkfUwcU0zGpcr2ELYoSNdX6L/5BlZrbJET3bhKMepjiwLhuJgkJttcA2spxiOG7/4C6Zeme5PEFOMRJksZvPsm0vUwcUQRjbF5Trx8i7zXxRqNjiP0eEQxGlEM+5gkZnL1I7KtjUOZwz/80YAiN2VYlCcZ93O+/7+vMermfP/flJahPDU4bukdbLRledbjzMs13v7uNnc/icC4NDnBtR8IbDhkPEiZbAl0bnnnzyJkkNP0j7G1mWJSj7f/ckAa56XlTfpocpJJzvWfJ9i1kME4Zn0zIeprPFlBCkWiS4uNNbBxxRJvaCbbljyzXP1RjlKSwVbBu9/rc+vtjHQC4y6Mu4af/PEWlbBGGmkm8Zg8Max9rEn7Lj/6dyP66zk//X82GW7nYKG3nlGtVPFp0l+PylwLkeZH/9cmtVqNcc8w3jZEA8073x1w7Wcp+dhhYyMmHSk+/NshjU6KcgVZbBhtCXTm8tf/YxcsOKIMOXWsZPOG5kd/tEkYBOQTh15XEycxGzdjbFJq9u98d0AaF5C7vPdXCe//sE80yhl1C3Rx/z0s/Sk8pJCl0mKzz26clhJVq+F02phJRNHvY/Mc4XmoRgOhFEW3iy0KZBiAkKhmA5tm6NEIm+1vCbJZjk1yTJQglIP0A0xaWsycThsZhhRb2+iodNySYYjw/TKSAci3yggcd2YGUamghwP0aAxaI3y/vF4phO+Rr5b9zmm3kLUaJorRwyE2P5ii9kwJ5nSftVRjC+LsyY4++7E2+gQhBEYJqrVF0nSA49W4OfoFJnDwdYtIjBnYLoFooG1KLjOsK7k5fGtHW+0ndynI0C5U64sUWcSw2KTKNnExxPMbqLCCrfgkRVouMwgYpavEYsLswssM+7dI9QTrOQzzLfrpGl5QR3oOhTG4QZ16GBIRcXv8LkHQIjelYPCDJkL6eEEDmwsq1TnGwxX8oIXjhmidkaUjijyaPjPNMFkHa2lXThI4DfrxXTYn15hMQ5lynbAyfI8o6+Eon8JkjNINBvHKjsOSsYZxts3HW98j1zGPE5CFybg9eJumfwylPIwppibp8tw465Z15BswERijMVZPJ14FUdZjZfg+dX8BJR1yndBPVkiKYXkvQGFytqPbxMXoqSwJu1AS4TkgH3Rys/heDaU84rQLBxTMhcnITIyxepfp3WKJ9XDPcsf9CyzJ3du7Dpk0oRgdTAM1cUR8e3eCGndmjurzx1FBSLq2go6nEw+jSyH9cBlJTDHc6wCWba7te/097fjeROIw7KeRTvplGdff3tv3pRKs34pZOl9huJ2RjDWe8qk5c/Ru9OgmE1wV4Ko6ad5ncKPCKN9kJoBUe1TEPNs3ulirqHvtabSBYDu+xcpHGe6KTy/R9NIEbTR1r4OnKhRphjY5FbeJHHUYDFLyDApjGa94KOGRpAOW30uJggUyE1N1ZtFxyvW3xzS9GkK4DNIMJRQEHVyTMrnWQseldn+vL426OYGStII2qQ7pBC224zt0rwaMlIMrq8jCIS6GbIxcxm6TpBgxSFNmwtMM19aJN8q4ZiGc0uJkNd33K0ixyUx4GlcGaFuQbA25sz4CEqpuB0cuMph8RN5tUXU7ZbTD9W0Kk1Fzq2yOAnppd9/3t+UvMRucxlcVEj1mbXKFUX6w5BmPRQhUrUbt618j39hA+j56MkE4Dt6pEziNBjYv8JYWiT74EO/4cbzFRYp+H6fZIF2+Q3p7+dHxyBZUvY6qVMrJ7e3bCN/HnS+dEIPnzzH+6Zvo4ZDg+XM47TZFv4+JIvLtbYSSuAvzICXBc2eIP75CvrqKt7RIcO458o1NrNbka+sgBc7sLDIIUKdPka+vk1y5dqDH8EwJ5v1QwqUazJCODzcIAHTjctCr1hepN0/ixTWSuMtadIVqfYFKfR5jCkZ6m+34Nnk2wQ+aNCtnWN74+c4McJxtkcucSm2eajBPmgxI0xEDu0UvXqYzd4mkmDA0XbJsiDE5rlclFxFGGGqNY4wGt+nHK7h6hslkjSKPqdh5PL+OkTnC93GMw+bkGkUR02yfJYm2ENIhFDNk2Riv0iIbTqjWl5iMN6jU5rFG47gBQsgdwWwxjLMtxtkWk7zHsdpForxHnA/QNt+5Jsr7u7ybpRIkahov7EqEFGSMGTY/RmYa1yh0bpBKgigjGISU6EwjHEFS9CgYomMNCMy0c2QmYju9hjIKoQTV2YDxeoQxFltYhCMQSjDON4jyLZSrqMz6FGsR68kQrEX5CqxhbDaYpBufKmbZGovVGuEoVOO+qVwIySTeKnOzHyQDw5TCZAyzDbaTZZreAo70d471khUy86sNx8Ja0rUVkvUnp/57Er5bR5ucQie4TgXfqTFOfnWbE4x7OdfeGpJMyt9bmwKLITcJ2uZUVRumPj4zAAAgAElEQVRf1YjzPr5TJSrK97nhL5DrmEneI3AaNLx5hJAIBH3hom1ZTqbLCZXFIIXClT5SKKwwNLyFctKlY7TV01wG968RQlHzZtiIruGpKq4KyEw8jexwS61SelTdDlvxTXxVw5U+uY73WOMc4RH4i6TTePyGN0eixwgkvqphbIGnKngyYKhXsViqbpso7+0k+1FCEag643yLQNVwpEfN7SCFS1wM8FQFIRQWQ8VpUnHbrE0+QogyOsVVIYkelx70QuGqECUcCh4WzIK2v8Tx2mV8VWGcbTNIVz8bwQwI18U/eRITR+QbW1hjcOdmcdodTBxj0xT/9CmctXVUq4VqNUmXl/GOHcNptcjX1jHJ/pYcGQYEZ8+Qb22TLS9jC40MJbJSeqpXXrxM9P4H6OEQd34OGYakt2/f96UQAjHVjMPzz5NvbpGvruI0m7hzcyRXr5da+HTNXvo+slLBP30aIeSXVzAr6RG6TVynAlg8p0q7eorueG+KtUOVq1xcv04Sd/GDJtZoPL+BNjnReJ0k2qYokqmAizF6tznEcStI6SKli+vVyNIxrlvFcUP8oMGw38foAscNKQqBlA6OEzIerVLkMVpnKMfDcYNSkEqFcjyEkPhBiywdMhytkSYDpHJwHB/HLTuSLlKSqEtr5jmw4HkVXDfEcQJGwzu4bgXH3ZslSgoHR3p4TpVA16cpSR9tepSOpDobIB2JKQyVmYBskjN3sc3wzhjlKaJugtGWIi7Ktb+ZEKPLBAvDu2OaJ2plDD0w2YyJthPc0KG+WK6/xv2E2XNNTGEImj6mMORxgSlsuf53rIopNK3TDW6NV3E8hVt1kI4kjwqssXhVl40PP93OVGYUkW/sLkMISa7jaZjcwc3nFsMw2+Tm8BfMBqfxVEhmErbjWwzStc81zOxh8u1N8u3PZoAE8N0aUjjlsotTRUrnVyaYjbZs3013pefUNqOYxtsLSsuLVIqq28GT9x2tJAprzU4cvhQOQggyHWOtprAp2uQ7wlqipv3Fx1dVYjsExI6PhJiGw0nh4Kgy011hUyyWUbZJzZ0FQAmnTOYz9VuxGAyGUbZJ3ZsvWy3Evq+XFAptinJicO8ZUE4IBAJtciZFj6goLRyFyQicOqHTIDfJjkl5lG0TOk2UcNC2QFtNXAwRCHxVQQoHT1VKbZ7SemYxhE6DkfQRlGF/jvTwVZVMR7smEp4MCJ06nnxCZrqnwVpMFBFfvVqatBt1xLqDqjeweU52t5xsOrMzOM0yI2C2skq+sYE7MwPGIJxHizXpB6h2i2x9g7zbm8Yq18tnncS7kunYPCcfT0hvTmWPUqhmCyElJk2x+oFrC03R65PevLlTl9Nqgeti87wMKyzNGl/OBCOBW2em/hwVv4MxOUp6BG79U5VpdMZkvE6aDAgrMyjHR+uMNB1hTE6ex5ipc401Gq1zHKc0Ed9DTuOe8zzaEbJYg+tWSaIent+YmlfF9LqYIi9/6KJIcZzyJbYWpPIQsox3LYoErTOKPELrFLA7u2lJ5WF0Sp4nGFNQZBGOG2CMxnEr5PkEXWTTwWXvOqYSLq3gOMaUWbWe5G0tFFTnQsKWj/Iks+dbDO6M8aoulY5PUPfo3R6Rx5rR2gSTW+ZfaKF8RbSdMN6IaJ+qU5kJKNKCDSAdZoSdgKWvzpGNc+68maJ8RfN4jYUXOxht6d0YEg9SavMVFi636V4f4lddlCuZvdCifqyCyQ2T7QQnUFQ6wacXzHFKvrY7Q5kuUny3/lS7kRUmZTu5zXZy+8kXf0lwlI+xmnp4jFowR6YjNgcHT3TzeZHpqHTWVCGpnuA7NWreLJZy6SvTMYN0nbpXxucneoTMypSvqR6T21LQJ3pC4NSIi0GZ20AolHTwVZUoHzBIV5kJT+M5VXKTTpcqSm3YdyoUWbITypjpCG3y6XlVTohVhaQYTbPSQaonaJtPPaDvY6wmKvp0k2U6wUkc4TLONgndFr6qMs63SfSYAIF4YJI3zrepOG08VSHVURnOWUbQk+oIY4up1s2OOVoIiZKWRI92fHkcVU7YlfGwVpeTC1lOMHynyjjvYh+ot0zJW/tUqZIfiRBYrYk/+QSn2aT+rW+Rb25iJhNkJcSZ6YA2CNdFTybIer00Wz/4SB9j7DJJjFmNka6Lt7SIHgzxjh9HVaskV66WzqBTb21r7C4hKlyH4NRJnFaL6L330cMR3AsZtHaP+dw7cRy30yG9eRPd65f5tA/IMyeYAfqTZdYGH5Dmo3I3ouYLn6q8ONomjkovvHjyeG0iTQdsrL615/hosLzn2Hi4Mi1/67Flrt352QN///SJ7c2yMesrv9hzfHuz3Mhj+cYPdrf5EUpwbmKudd94Yn33cAIHv+pS6QRYY4m2E7JJjuMrJlsxW5MBcTehsVTDr3voaaq+/vKIpJ/hVRy8mstkOyHuJWTjHCEFJjfkUY4Q4AYKv1YK3SLTpMMca6HSCfDrLlEvxRiLLgxe1cWvuSSDjGg7QbkSbyYg7n+6ECchBU6nhXdinqI3Il8pfz/H8ZHSQev8c3M4/DJRDxfxnBApHIwtEIidHPNfJOvRFQRiOhZbkmjEA0GopNPdzaLi/uQtLvauo6+M358mgynf4834Bpvx/TX7qMiIRrv9Wzaiqw+V8QEA28l9i97a5JP7wsHer3sr3u0PcI/MRHSTctIcjcv6Ej1mlG/zoMR52No1SFcZpGvAXg3sXl1rk4/3rfPB5xXl/dLX44Hloe34Ftvx/lbKmjtD8DlESwCgFM5Mh9pXX8PkKUV3G5Ok6P46qtWkcuECpsjR4wn52jpOu11qrtaWWmyelwJ1H6w2FIMB6a1lnE4bd36+dMqaTAjOPUf1ta9gdbETAWGTBPOgs1ahybtdgvPnqbz8UrnL1TTBjskzTLw78qLodgmeO0v4wkVkpUrRPXiqYvHw7O2LQAjxyEYIIXFVhazYf435ePVFXp793T3Hf7r2f9BND7az0RFP4F4ffvjzact5zDm/7nL2t5ZwQ4ebf7vCeLPMj3xYXOkzX3mel2d2vxtxMeR28wabM12EkhT9EfHb5WCrpMex2VcAS294gyg5fM7vv0s0wkUcFUy9zcsfKC9ihvGjYusFJ2sv8+LM7+w58+O1f0f/U8Xkf3lQnsIJHay2ZOPDxYp/GXih/TpL1Us7qXvH2Taf9H/IxiMmHk+FKvNr87AXs5w6t+jPOGxLqfva70GuNeZgy11PuNZau69+/8xpzO50VyVtMrIiwlpz4LCVIz4n7CM+n7acx5xLxzlXvruMEAKd6/0ihT412eoWebqNd3JhV5s8t0peRIR+B/UMaIZfNKN4Hd9rMNs4Rz1cIC0mdIfXv+hmPdN4NY/OxQ5+3aN/c/B3TjA70iN0mrifx/ryg2i9v6A0h0mdcsj6vuhrH+CZE8zWQi2YoxUeR9uCQXSHXnT30Ik6jviSYtkxkX9euHMtnM60jgfmq7lOGIyXiZNyl6t7Jty/r1gMzcoiST5ke3iN0G9TC+fpT+7wuQyOfwcwhcEJFOFMQLT1K/bG/xVQc2fxVLhvzP6Xk09j/uMpv/tknjnBrE3GMFolyYb4bo1m5TiL7VcYxqtsDD4hzb9E2/s9BXV3loY3v7PnsSM8BBKDQdsydCMpxkyKHuNsm8zs9pj8NCjhUnU71N1ZKk4TT1WmGcMk2hYUJiM3CVHeZ5RtERV9Cvv5agS+qtLw5qm5M4ROA1cGSCEx1lCYjFSPGefbDNJ1Ej3m/u5ZPNJ8pMcJtC3uQmfX8Xq4gOuECCGx1jIWG0TJ4/0HDkIwE1JbrBN0AkxhidbHBO2QyfTTCRzSYenlmQ5TirigeaaFEzhsf7RFOBMyujvCZOXsu36qiVdziTYivLqHKQz1Ew2ijQk60/gNnyIuSPoxbtXDb/psvbcJAo7/+kk23llD+Q71Ew2stehU49U8EBBtTBgtl7HKrlMpn4dOp85Aahqn/XdDKCvhUXPbhE6T0KnjqyqO9Kee1aVXd+nVnJPqiESPmOQ9Jnmf/OFMblOstRRRgVSSoP35aJUCQc2dpeHPU3GaZbuniWx2jxMjJkXZV3OzN0Tr8PVKWt4Cnqw8+eIvAV7QwPEqxONNQCCli7UFQiqsub/HghCytOAV9xzoFNXmIlk6whQ5CInrT5PTRD2k41GkY5QbYI1GKhcvaKCLlDTqlb/DE8zgz5xgZhorGHgNKl4boBTU+ZCF5kVW++9/rqZtgaLqtjhevYyS7q5zxmoG6Rqbyc1HJ414AF/VWAjPUfNmdo4N0nW2k1vT7EIlUjjU3VnmK2epubOETgNPhlOhqKaOLmXaSm1ycpOSmYhEj9mIrtFN7uxN+XgIXBnQCU7Q8hepuR18VXuofolB79SfmZh0OjnopSt0kzsHykh2uDaFzIdnaftLVN0yVtVV/k4mLYvBWE1uUlI9IS4G9NNVtpLbTPIeWIt+hAOXiRLy9S6qGu7ypNQmJ1DNnXCVe7+/K33a/nFmwzOHvo+VyYd4SyCD0gmucbqJciWj5SEzl2bxGj7dj7cJ2gF+O2B4s0/aT2mebaE8RThbYf2t1dLBZYpf9+hcnCHolEJ04auLZRhZw2eyOqYyVyHuxsS9uCxjrgpsIoSgulRDfqDoXJghnKtgijIuXWcFw1sDWs93GN0ZgoV6OIeUDq5QNCqLKOlS6E+fW/wwSBRVt81S9dK+/bGfrrIV36KwB2mXwJU+DW+eujdL1WkTOOW77spgJ23tvXfeUg7OBj2dlKZkOiIqBgyzDbrJ3V0OZtMqGK+NMdqi04NZWwJVZ75yjpp7f6I4SNfYSm7tOLJBGYpVd+eYq5yl7s4SOPUH+qkz1f3KcaIwOYVJpuPEhPXJVbrpwfqpROGqAF9V9/zX9I5N46bv46sqJ+uvMhuePdD93mOYrbMZ39x1jwfBlcG0P54+1PcA7o7fZ5htYdEoxyeszSGVR5HHNDpnKPIIazRGZxR5ilIuygvJ0wmT/l0shnrnJEFllqA6i1QORpee9lbn5NmEsL6ACVsIIYkn2/hhE7/SxhpdHhs/OZzxmRPMSvkEXqkZJfmIJB8xSbfAWk7OvPbI9IafBZIyYcDJ2sssVV/YiX0E0Lagn6yUXpAHdJhzZcBceJa5ypmdY+vqGqN8a0cwezKkE5zkWOU8neAErgz2NRMJyjhHR3r4VIFys49x1qXL3ae8Y0Hdm2UhfI5OcIq6N1Nu/7hPvIHCQYky/3dADbw5WmaJprdA3Z1lI77OMPv08a0CSdVts1i5yFx4lqrbnm7R+fB1aud5hE6dpjdPw5uj6rRZj68xzDbQj9DmhRBQGPQowiT3r0nzEc3acbTJiZMeaV6Gwijh0fSPcar+yqHvZ5CugT8Bv1wbk0qiAgfpStyqV4aarY/x6h3cikswE+I1fLy6h041YPHqHvF2vGs3JwtIJfEaPk7FIZ/kmNwA5YYEbsXFr/u4VY/KbEjQCRECgnb5t1vzkI5EpxqrbBmOtj6hc2l2J9YyK2KGk90OW79KwSxR1L1ZTtZeZrF6cU9/7CV36acrHESDD1SNlr9Ew5uj7s1NJ6DVnTjm/RAoEAqFiysD7kVJa5PT9o9T9+bYjK6zldzeacO939dqc+D1ZU+F5TjxgKBZkyHDbHNHaHmywkxwkoXqeWaCEzjCf+I4AVVgZifWupc+fpyQQjETnKThzePJCp4K73+qys7Y9PDzclXA3FNMWlcnHzNI1w8tmB3p0fIXn6o/9tK7jPPudNIuSuFcncGYgmpzkTTqkqcTcMPpxioKay1GF0jlYnRGUJnB9atlnLyQaJ1hjaawFscNCauzJJMt/EqbPIvwK20ct4K1GtevEU+2vnwaswDyIi6FcjbYZX7ZGl2n+Iw1s3uUg8AMx6uXWaxe3DU7vyeUl8e/nM7On95868oANY2T9WSFufA0J2ov0w6WDl2WNhmJHh1Ie38YKRya3jzHay+yEJ6b7sd8uHUjV/q0giVqXmlmvjN+j0G6juHpHB7uaUcnay+zVLtUascHbJMQskwyoaoETo074/cp7P5+CbIe4s53UPUQPbw/KGiTo6axu0k2IMsPn21uPyYbY9y2g/IU/Ws9slGK8hS9K9s4oUseF0QbkzJpizZIz2Fwc0AeZYyWh1TmqogHUocm/YTtD7fIhilBO2Trvc1SwG9MyuQviUa5EqRApwXxZoxyJdbC+O4IrGV4q49b9cijcrYvBOhMM7w92Bk0xvGvLsPXw5T9cY4Ttcscq17Y0x97yV2Wx79kO759oP5YcVqcqL1IJzjx6XYso7Sk1KfvfNVpleNDuoadvve1YzXCmQBz5emX3DwV7rTTV1XmwjOcqL1Ey188dFllHvwR+RPGCSVcjlUuTCdBn+4ZfRko8ph4vFkmj1Eeo+4tsnhAUSTTRFIVLJYiiyiyGDBlmt3xVpnPosgwRYrjVfGCBkyjyNO4X2rKlTYIyNMJOo/ROqfIIg6yrv3MCeZCZziywHer+E5tx5w0jNcYTXMmf9YIJDVvhqXqZZZql6ezzRJjCwbpGrdG77Cd3N5Jafm0eFPB7AiP2fAUJ+uv0vKPAeX6lKVcO9U2n+45bHeyDinhoqS3kz1okvdI9OjQglAKh4Y7x9nG15kLz+xKFGCtRduc3CQUJpumK7RlbiShcKSPq4IdE7tA4MqAxepFXBlybfBjRvnWU8QBCwKnzlLtEifrL8P0Hu9xb005N/E0SYMBJFJIXBngKh9JqdHPBKeQwmEjur6TzOHBsoTnltvsjWNsdt/caI0mSXtos3tXLIuZpnfsI6fJXISQu/+efu7HaHmIvv3Qe/NQ3+yPHi1c4s3dTkTjuyO4O7r/90PlTR4qu/vx/Z10rv+HxycI2fjF3vzYv2oEipo3y4naZRarL+zpj/10lVujt+kmdw7cH8106eNhgWOxaFOgbZkfu9wV7X62LSkkSnp4MtwzUXSkSyc4jrVf58PeD4iLQWm1MBav4uLVvYebcWBcGU6zb/nMBqc5WXuFpr9QtnlnnLi3i9vecaJ8ZvfGie4u/4tHUfZxt/SxeIzgeFhj/qx8XA6KsYbMxER5fye50oP9cWdsekIClDwdkaeH3yt91Nsd3x1Uy6VKncekUY94tIGQislghTTqE48OP8F95gSz64TMNy8y1zg/NadNEELyzu1//7nUJxBU3TYnai+yVL20Mwjce/lH2RbXBz+ll658JqkVPRXumGIWqy/Q8o9NhWFBbmKSYsIo3yQpRuQmwdgyh6+vQkKnRc3tlGUIj362RnrovZMFVafFqforzFee23VGm5zURIyyLfrpKuO8WwpCU+BIF09VqXuztP0lam5n6ohVDnRSKOYrZ8lMxI3hz8t13kN0WFf6dIITnKy9sqdDaZMT6xGDdI1eukKUl05nUjh4MqThz9P2F6k65bNR0qXlL1JxmljMnuWPfHWb6OpHe9qgpEec9kmyIVl+/7kWJp0KgQJHejjSxxE+jvJwhI8rPXxVo+I0D251+KzHMvuIv79k3FvKOFl7icXqxT39cZhtca3/E/rZ2qE85id5j63kNjPhKSQKYwuKaXrPqBgwybtM8j6JLvtdmRpT4qqAqtuh45+g7s3iy+qupRUpHOYqZ9mIr7MWJRiRk/QTwtkQx396rfPeONH2l1iqvkDTX9g1aU6KMcNsk0SPKabjhBKK/5+9N/mxJMvO/H732mxv9NnDY8zIKXKsgVVsFllko5sUWk0SghZCNyBA6/4DtJY22gkCtNJCEFobodHaaWhIAFvolopFsklWFSsrh8opMiPCwz18fvOz+d6rxX3+PDx8CHePoSKD+QGFinQ3N7Nnz84990zf5zsxsdum5s0crBP55pk01g2aVA0ZFSdLIu43yD2sua2NIlfJIVXAsyCrhhdaUyud00nvo3RxYI8ywJMBrvBxpU/o1InOY49PgGy8RzY+/MyMVox6F+fReOEcc+i1SIsuD7ofoXVJP93gUvudaQPUU7+e2+RG83ssx28cWQSSssen3Z8wyLcvnJ59FK4MiN0ZYq/FXHgNYwylzujmD7g3/CXd7MGpO1spHFr+Eovxq+yl989dn/FlxFx4jUv1w2xq2ig6+Tqrww/pZKsnGsxW8iW+jFmpv8mV+nvU3JlDL//l+ltW9ENl5xJvaPoLXK7dwj3S4KPp5GvcG3zAXnb/2GeznX6FKwJW6re4Un+Xhjc3MdhTIhYhEK5jKQALG3VVOicKZojDeXrDVaswhU2dDsodBqeQ9C9Fr/Le/D/BFRePkl5MiEN1WIN5cmWvUxC5TV5pfp+l+LUj9jgue/y68+8ZFrvnnswodcog32JY7BC7bfr5JlvpV3Sy+1at7JTz7ab3uM+vWI5fn2a4Ht08Xq6/TTdfJ3MGDB+MSLvZE22QvMk60fQXmAmvWD4HndHN11kdfjBZJ06+gC1VLbEUv8pOevdMjrnUGZ93/5yTuMLAkotcqr15SCc9LftPn2DkFChTMii3GZQnR6LL8Ru8N/dHON9Qe3zhHHOlMvAaCGwt51L7LWrBHBefNzsZoVPn9fbvsBDdxBEHDsEuAh0+3PszRkV3Wjt6GhBIrjfen3RRCtKqz/3Rx6wOf4U21WM3H9oouvkG/XzLpvnP9UwEM+EKV49pmtgcf8Hd4S8ZFjuPPWehE+4PP6ZQKa+1fofYax+6xuX6OwzLvTPzRgdOjZngCu3gaJ19L1vlq/7P6Ocbp95XZXLWhh9T6Zwbze/T9BdPPFZ4Dv7VRYJXL4PWDH/yAWA5g+NogTzvH6uB/PcRtXCOucZNaqEVaUjyDve2//qZXCt0Grze/l0WoutH7HFY7vLh7p+RlL0Lj0uOqg6fdn6CNhXjqocx+szn0mg2ki9t052QtCblp300/UU7XrigCWbsiFoxLOws8wWWLYHkRvN7OJN1Iql63B9+xP3Rh5PGpcetExXd3Darnn+d+Ba/abxwjjktetP0deDWaEYrDNKtpz67HDh13pj5MfPhdTsrvN/tqSv6xRafdX/CqOg89esKIfAnMm1J1WVt9An3Rx+fs3ZtLhTB170Z5oKrRG7jUJ2ol29yf/Qxw2LvzAasTMletkbgfMwbM783Pd9+aaDlLzEs9yjOENE3vHlmwktHopBMjVkdfsig2D7TfWkUO+kdfBkTt1u4Mjj+QCGoukPMr+/YqHmCSuWU5QghbLemLP9+E4wANOJLpEWPrd5n1pE9o2g5cOrcmvl9ZsOrOIfssaSXb/J576dP5JTBNkHtbzwvch6DZi9bJfZmaPiLh9K5tvlwhlGZYbQh62SMt8YXjiWsFKNdJ8Zlh7XRx6yNfn3O1O/F1olv8ZvHs5s9uiD2mxpKlZIUPXZHX02Yhp4WrPboG+3fYy68dmg8qdIlnXyd273/cKF02ZnvQEgqU7Cb3mdj/MWFuqovgro3TztcOdIAsz7+1CrInNOICzWmn28eqUlJ4TATrlD3Zh57DkuWMEvDWzjyu+3kK0bl7rmcY6lzesUmnezk0RDhOjitGt7lRbxL89Ofe45V7hJCUo+WiMLH3//F8TyZk/a5rs8Po9VU6lBKFyGfbreuQBA6Dd6c+TGz4dVH7LFgL1vjdv+vn5I9momM4sXPU+iMUbk3lV7cx/7nMJkgXohZ/v4S7ZvtE85yNgghqXTObnaPzeTLM85qf4uXAS9cxOw5Mb5rZ75cJ2Cu/gppOWCz98mZz2HF1I9uVQWSyG1yc9KNfHgRyNnL1lgd/opevvHM2cVGxS6d7D6ZOn9X4EXgyYiGP0/sHiwWxmjSakA3W7/QGJrBkKkRvfwBDX/+0O/q3hyR83i5ztBpUvNm8R6Kbm1N0bCdfH2m2tijSKoenXz9SHPb9PyVQsQOwnVQ/YORKKVLKpXhECClcyH5x7PAES4Nd56R6k5k9jy0UZOsg5io/FiiCFd4k05bl1wnKFMRyjpSOKRqOO0+1RO5voc7j7XRCCHs7LuMGVddjDE40iOUdUqdUehskuo8/n0vVULkt2nGl6a89Z1zjpEpXR07tymQxG5rOh3w8GxuOZHRvD/8cJqOfTFgKNSYtOod2Xh6IkAYSbKTEjQCpP/km5hhuUsnWztESPQtXn68cI458GqEXnOiKhXa6CVcmNAkns04lSmPOGbb7dnmav19lmuvH0qXlTpnL11lbfQx3Xz9mad/jNEMim36xbMZ/zoOsdui5s0eaq4yGHr5BoUaX7gGVeqcQXGUtjJwYkKngSO8U9P0sdcidBuPpLENadVnXHUv1LVZqoxx2aFQGf5xYhQGZBzizremjV9gU9nDZAMpXAxQPiOGOSlcmv48snIZlXtEToNCZ3gywJfR9BhtKnwZkVQDhBCUOkdR4cmAyG1ah46i4c6R6TGVzqejW4XOAIPEQWGdeUKfmtuadq2Oqs7kuRvSEzaI42yPssosaYXjX0iD92R7nOVa/b2JPXoP2WPGbnqPtdEndPMHL1w6ttIlhTrKtOdIj7gdQ5Rj9hWFnqA1xhhNP998KsQ93+KbhRfOMWMMnhMRB7OUVcLu8CsWmm9woL/6eChTHmre2R/BuFx7azISdRCdPeyUT+r6fdoodT4ZzXh+u+DYbRE69UM/M0ZPxk4uvvApUx4b9Uvh4rsxvoxI1cmOOXTqhzo8wW4YBsX2uccvDv5eU6iUtOof75gnYuxCCJx2/dBfPj+pR0EgY1IxIHKaU45mT4aWElEG0+g3qQaWC1nIieymwBMhjutiMLT8JdyqS7fYwBM+oVNDVHa20xUe46qHK30c4dH0FzBGW+5rnGlW4yTHbIztwtZYjuCL6DE/6pgFkro3y+Vj5pRLnU+c8sd0svUXKFI+gEEdu2G0mQqBV/Os7OOeeaJ+1VLnjKse2TknL77FCwBXQnXxd/eFc8xZNSTWczbNWvTJyhFFOZoM0Z8N6lB3syD22qzU7CiN5xw4ZZu+vs/q6EO6z3ERyNawZ5UAACAASURBVNSIXI95ngOnods4Im5uMIzL7hNFJMaoY6MHsKk9VwacdvrAqU2jxINz2vnx83znj0KZkrQaTEkZHrkAepxRdQY2spnAkR6OE+A6IUU5pjrhcz0ptKkYlntUurBVT1MikRMu5hQhhI3ajf1dqkbURGtKllLpnFQNAIErvCnFa1oNULIgkJZQX5kKjUQIB2VKBIJKFxOBBjMlkjhtY1aPFoh8Ow8euA3kMfSoj8MBIcxBc+BK/S0u194+ZI/7m+TV4YfPpZx0UdjNyvH3lu6lqJYhaAWY8snuP1PDSSnn247qbwwEyNAnuLZIuTug6o0upB39wjnmSuXsDG+zM7yNMbYRZ2vwOed5OStdTOp0NiK7VHtz4pTtbn+f0KOTrXN38Ivp6NHzQq5GT1304XTYhjfPOaoK48mQhrfwRJ8/dlvH/lwKd0o/ehJ8JzoShRnMY2dLHwdlKjJ9fKQhHIk338ZbmiVfPWC68rwacTBLFM7QH95nlD4bx6xMRbd4MP3vs2ROiuKg1p6q4YkRbq5TRlXHins89PnHlc0EbGa3mfFX8GVo2ZOqwWOb/pK8S1r0ifwmgdd87L0+ikofRMyh2+BS7U0u1945xh7XuDP4OYNi57nao2XMOlDP2meSsrx2EpthF9MeAKu8Fh17Ljd00VVGlVUI58l6a7Pqea8T3+KJISXubIPmP3yf9NerjD74Cj06/zrywjlm4NBIxn7DyXmgjG02cYXPpdotLtfenhrSftTRyzf4svdXjMqzjwg9LVS6ROnnVzdzpY8nA5xHurFd6fPdhT9+Zte1i93Jr5hA4Aj/iPO2TWXDM/cUHAdt1KmNYzrLqbpDdHKw8FVVxlBZydFnVV9+1jBoRtXp6fiHNwWPQ2+0iphQHCZGkZXnb1ZUE8fsioCV2lsTezxwymDo5g/4oveXJGX3udjjPnWjnLBl1dwWNW+G0GlOWLeCic14k+PcqRzkgfzlUZRJSXp/SNrJME+QygSoTDnNZuxvEmxzYIWDO+kwNxxsGjhmQ3OSbrA9n0SiKCdPxDm1EfBbPB7TZuLOEBGenev/UbyQjvlJsb8QXK6/zeX6W0dqq9ooPu/+dDIi9PzTRJZI5Pk55v3F5XlDTvhrT4K9r+N/b9O8F/9ujNFofULjmBB2vVLqEFe24/jUowVq0QLd4T3K6tlEzN8kRMEM883XqIULCGCcd7i79ZfnOocyBRgzob29daSnoDIln3d/MplTfh5OWVD35liKX2UhfoWaO/PQ5vDJxtikI7nyo8vMvTnLzie7jDYvzoaldQnYAGNf2S2STTrlA+b9KwzKPUqT4giP2GljUAzKPR6eXw5kjECgTDkt8Tn7vPvCpeEu0C3XcURAzWmTqj6JGky+h29T6OeFCH3Cm8uYrMCdqSO8i627L6djNiUrtVvMhdeI3faRXYsUDjdbP+CL3l+SVoPnfn+W1vD5vfT7O/3fCE5Z56yM33GO2Uxml5/kGZ1MrmAqBUIgGzGydpBGt45YMky2yIvn/148Hhdt8T0pano8mvEK47zDRuejCcHI+aMppStW6m+xEN04lr/YER43W7/NF92/fKbjg/u659ca7zMXXrM9BcKdpKufzly5KhU7n+xQ5RVV+mTkNAZD3Z0nlm0yNaLQCa70WQpu4IiAlu9Q6BRHuATSKiF5MiRXCakaUpqMpjc/HaWzo3I+sdOgMiVb2df2jTKGmtvElwGeXEQgGKnuY+/vWxyFyQqyrzaJ37kOeWHXmgvgpXTMTX+RdnAJX0ZHIjIhBMYY5qMbJFWftdHHvxHn/Dyxv/i8aNhXgzkCAwr1hG75lKYmbVCDBD3OcGYOaqaO9KjHS+TlgDQ7mcj/vNhX7NmfOTYTpSzPCZG4uNIlV8nU6RnMpEFL48pgUoM2tPxFKlOSV+NJg5gVY5DCnXYJa1MhcXCkjyu8KctV6DTo5Ru40p/+jcEgsQ1gJ9Uyta5wpIfv1lC6RJvy3IQ4zWCRtliZSBketUcMLEQ3SMoea6NPnolz9mXMYnyTq433iSdd8Cc5Y2M0lSkodU6l8klKuZoqTznCpebNUDuGQEeXmtGDEWknO7Nu+0nYp/+U0scntN+jrFGYDE/6GK0I3Gj63Qskgazhi2jatyBxid0WSdVDCg9P+BQ6pdAZvgyJnAaeDImd1mQrq6ali29pPM8P4bv4K7MIz0EEPlywz+CldMyRW0fgTA1PTzhx99NVQgg8EbBSu0Wuxmwlt88tBvGNghBwzCKkdMXXg589M5rFpBpMVKaOx2npMvFkI6APnf+4k+87BIPJy0O/MEZbac2nSC4Se20i144l5SqZdmELhB1DQhC7bXwnRhtFWg3I9ZhK5dS8WfLJnHng1ImlxxDLhuY5EXk1ph0sT/9bTxSwCpVRqMQ6F50ROHWWaq8SODXScmgnA9QIT9qMwUmOuagS4mCGZm1CMFKOyc9JMBK6DeQhe1STlOrD9hiyUn+LXCVsJbfPJYDyOAROjaX4Na7W36PuzR7J0lS6JKm6DIpdkrI7UWzK0UbZ/6GmQhrGGGKvxUp861jHbLRBl5qiurhm+8MYVz2yaog2CkVFqfNJjdlDYTdhsdskkLFt5lN9tFFTjep+ucm48ie9HIpUDSh0isbSq+7k9yh0ym6xxj6ndqXzb53yBWHKinKrhzvXhCwHfbHn+MI5ZimcSap3f7zCEo2chwFqv+HIGM247NLJ1zDGsBy/TuAe1Lcit8nl2ttUOmc7vfPcqDGfN4zRx4oyaBSb4y8eK6B+UWijTiUX0UYdnxoVBzOhT+Ka5QlZgn1+7HKnR7XXnx4dBW0bITo+ziMqV0+CfR1r23DkAoasGhF7bQbFDp6M8J0YR7oII3GkS1UVE8nBGbr5+lRwQSBwpItHQOy2cYWHI12ksbrUtndBWCaxCUkPGAInnjT1CHwnIql6gOWoBsOoPD5DkGS7lFWClA6uE1yIYMR5yB5HZYdOto4QgqX41UP15thtcblu7XEnvTN1Lk8CgWQmuMxK7RZ1f+4QR/w+wc5eep9huUNS9cnVmFLlj+kBMZQn0GP6dZ9mo0k8F1GMSzpfPNlc/L6z3UfJ0Q1UZXI8GVLpglwnh5q37GTCGE9YsialCxQHKfZS2c9Rqaezkfj7DqM0Os1x23XLMChfkuYvR/qEXgulC/JqSOzPUgvm2Oz/+lznyVVCP99kN73LXnZ/GjFerr99iNCg6S9wqXZrSgH4JGQbLypsCvL42qA2ikKn/CYaPZRR07G2wxBP7Bit6PsJr7cxIAVCyiMfW5sSYZ5u2t+OveTTMRyJJFNDYq9FXo3QsqRQY/sdCSZc8RkCeUjXelx2p4urI32EklS6oCgSWz8UPfapPMsJC5gzSXOPyj0bbZkKKRyyaojBPJ71TYhJpCtsevwCBCOwb48b7EzscX+D8rAGOkDLX2SldovS5HSy+09sj7Fr5VUb/sIhpwzQydZYH33CXnZ++dSTIF2J40mcwMF9wq7ssyLXCfljMgyleTIZym9xdhhtqHojnEZ84V7CF84xgyH06nhORKESAq9xoVrNTnqH9dEnlkHKVAgka6OPCd06C9HNSb3P1vxmgyt2MdQZvXyTl+0Nrkw+ZV96eHESWOrMTI1+Y93p+1Hzw5GYAPwJj/lFy3RCSJwT9JiNMQjPxVueRYQ+1a51aEoX0wanpzkykqkRqjqcMpfCoZ9vkavkxJpqPkk372M/ygVAwbg8ezSWPiK6sI9heZRO9WHUwnlCv4kxmsBrXJg/fDv52tpjuYOe2uMnhE6dhegVeNgewyuUOqNUGf1i87HnPg2t4BKtYPHQJs0YTa6Sicb36jmV3eym78SeDQHluCQhQT8nx/wtXiyYSqG6I5vvUy9BKtt3azjCpVQ5zegSC+HrDNItNnofnftcD0af0s0P5jUNmnHV5U7/50Ruk7o3h8CmNB3pMhdes6kglZy4iH1TUenC1o2MeqR2Kom9GYblHuo3oj9s61mVqfAOCZoLy5+dS06lDTsFUshDwhgPQ0hpU0xSIAMbmQsh8N2anVeVz3q8zHadfyM4kI0hybpkZZ/QuxjBCMD6+BN6xcbBadGMyj3uDH5B6DZpePua67YJbz66QWUKin4yYTm7CAQNb5bIPXzP2mh2s7t08/VzO2Ww75Z7QkbHb/g4zTpe7JL18mchI/8tXmQIgYx9wtdWKHf6F64xv1CtuvP1m6zMvM9c/QaeE6J0ie/GLLVuPZXza6MYFDt2LKMaHapv+k7EQnSDq/X3cMTxkdY3FfsqUI9SZwohaPgLv7lRKmyKs3ykf0BM2JVOm4F+HBzhETrHOxFTVpaKUwpMaettxmgG43W7iVG5VUR6qnhYevFAu1oIS5kphIuU/kOUlwfH7ENKbxKxikPnsylyF+ehGrCU7uRcAik9HMfnInm13niNfrJGVvQZplv0x/fPfY6ToI2iX2zzZe+vyNT4GHu8yZXGuzjiYmUNV3gEbn3a4Da9LhVbyVcXcspgn+1JWt9VZt+bYlwy2ry4HvO3+IbCgCkV+dou5W7/5RiX2hvfxUmOGuHTTCtqFLvZPe4M/46bzR8QOvVpt2joNliuvU6mRqwOP3hq13wRkFYDUjUidA+kGG1jzIrNUvyG7itXIwqdEnMgRymEpOkvPtGGwRHetBP6CITAaIMpKnR54ICl9IjDGTw3YpQ8WQr1YVgJSTsypXWJlB5KFXhehJQ+rhtSlgmB30CbiiTZRUpn0ogWkBcjQNNqXkOpnDTt2EYwYY/x3AitFa3mVYbjDaoyIY4XbbSb7uL7DWrxPJ2enVu1jT5n8xhh0EapnLwcTnSZQyif3nihNhW76V3uDP6Om83fInBqU3uM3AbL8Rtkasz94a/Ofe59YZBH8aRc7L6MiE/Y9KlMMXu1QTQTonJF2klfMuf8Un2Ypw+tqfaGDP78/Fneh/FCOea8HOE50UH3oLbE+54TMFe7QT/deGqd0+ujT4idJpdqbxK6B8xgkdPgeuM7JGWP3eweL8uLOCo7JGWPmeDS9GcCQdNfoObNUOhsQurxfJFVoyONNwJJK7iEIwLg/GMzYtJ5XPdmj/29tzKHPyv2D55C6ZLd7hfUa8tUpyhinRe1eAnXi6iqDEd6tFrXSNJdxskujuMjEGQqR6kAz4tot67TqF8mSXdJ0l2KYoQBPDckjuZwnRDH8YnjecbJDloVdHt3JvVxQ622TBS27ZOQDkm6OyG0EbTbN+j17lCps9lRLZglL0fk5YjQb9KqXWac7T7VzbLBsDb6iHjCo324U7vJtfr7JGWPvezeuc570vy+gck6cn7blsIlcOsEJ2z6yrQi7WR4NQ8ncF6W5WMKPXnHDkEAT5DdeukgBWjbx2Kq6kLvwAvlmMHguzELzdep+bMMsy06o3ssNt+gqBKa8SXWux9RVE8ul6hNxb3hB3gyZDG+OeXSFkISuU1eb/+IfG884dL+5jdxJGVv2pm7X3sVQiBwuFS7RVINfiO19VHVZVz2jjSAucJnNrxMmaTnJvIPnNok4j7+9S43OySrt0HY8YZ9SOnSql9BSBee4ndeVRl+0KBeX54koAXaaJJ0B9+rU68tEwYtgqBFGFhBEIFAa8U4eVjQQeA6AXE0h5QuRmtUlVOrLZJmHcJwhqIYEQUzuE5ApQpcxycKZwjDGfxkmzicZyDX4QyOuRmvMNe4iZAO88VrGKNI8s4zsQdtKu4OPsCTEQvRK1MubSEksdfitfbvkO8N7btyxuvbeemjxwom43gXWDCb3jwz/qUTyUncyGW8nTDaGDF88PxkXZ8XLK3n4WcqkLgvWfnvwhDgRAHRO9dtxuqTe+jk/MHkC+aYbeOH3aEPUbqkXbuC79XZ6H3Cyuz7yKdEnQdWVu3+6EMc6bEYvTId0RFI6v4cr7V/xBfdn5JUz4fD91lCoxgU2/TzTeaj64d+txDdoJs/YDvJn7uaTaVzxmWXpOpPCRv2F71L8Zv08s1z31PNm2U+un4ys1NRocdHebAF0kYEKjuZZ/sCKMsxee5TVRlp1kEIaevYqiA3A7Qu0boiL4aMxluAQQhBVeUTvmSL3uAeo9EG+8IFTAhaPC+mKBP2Op9TVil5OUQgrY7ypOu9LBOKYsTO3qdUZ+QAT/MuO4MvJ0IyCUYrymckhQmQqQGrw1/hCo/56PrUHiUOTW+e19u/x+fdn5JW/TPZY2WKE8atBJHbpCzyc20yXOEzE16hHVw6Mnq1D10qvMAhbMcYZejdfdkaSfMjz9QRHrHXPuEv/n5Bhj7hqys4jQi0vrDC2AvnmCudI4XEd2uAIfLb+G59SlP4pCTzj2JQ7PJg/Gtc6TEXXrc0kUIgjcNceJVrje9wb/jB4VGVpwTPq+E6AVneY392d39G1RiNkI7VDjbKai5oqwLTrK+QZhMVHmMXZmM0RTFCCGfCbCXBHIwAAQyLHXazVZr+0jQiARthXq2/izGa3fTuZK75YpDCJXIa5Do5Y9nBMCp36RdbR5iUWsESS/GrVKP8zDSNNbfNfHSdhjd/7ntXKqc7uAtAUT49JjilC8bpLgJBWR1Oze87ZIvTn3tRDHmUBkJKFz28b2vP+2QRxzje/Z+dh2q0VCnjbJfQbxF6DUDgquDcam/nwbDYYX38axzpMRtePbBH7OTEtcb73Bt8cKZO7UoXFCql0uWhLmopHObCa4zL7plJTKRwWYhvshjdPCLC8TAcT6JKu5ny6k+PpOZFQVoNJuvQATwZ0PaXcYX/VEhhvskw2qDyAk/Kl4uSMy9HpGV/KvSelgN8J6IdXyYrBk81kgEwKLrZAzwZ4smQ9qQGK4QVoV+ObTPYxvjzp87h67kRtWgez41xHB/frZFkuyAkeTHAcyJ8zy4CpUoZJ9uAoFFbwXVDtK5QqsTzYoSQ+F59ylpVVSmVKsiLAVWVYdAUOqWTrdH0F7kUv34oddzyl7haf4/AqbGXrTIuO1MO3tMgELgyJHIbRG6TmjuL5wRsjD8/8zjQuOrRzdaZDS4fak5zpc+l+A2UqdhKbk84zU+g8ERQ82ZZjl9nMXrlEGnFWaFNRZo/GVPTcTDGoJ6RUpXWFXn+7KKyyG9TC+exs9eSSsX0x+vP7HoaRSdbw5MhrgxoB8vAgT1eit8kU2M2xp8fmvE+DgY9ZfNy5UFEJ4XDUvwanXydQbH1WBKTwImZD2+wUn/LEpWcUk/VyiAmBDZPO4h4ETAqOxQ6tVwAk4yUFC51b45LtVtsjD/7e+2chRBI30UEHsJzj6VCPgteOMesdEE/eUCSdxFAqXOkcGnFlxiOt58JbWZlCnbT1YkGa3gocgvcGiu1tyh1xlbyFeUTRJOPQiBw3QjPreG64SRiLnHdAK0rAr9BLZyz/MlZl1R6aF0hhCDwbMOaMfup38kcrnTwvJg872OMfZ6Vyqf+bFx2eDD+lNht0tpf9CZjOzPhCqFbp+HN0c03yNSQQqVo1CRqn2i4CgdHuBOd55DArVNzZ6h7M9S8OQqd0MnOPlZT6ZxevsFutsrl2luHFr66P8dl3saXEZ18jawaTtJpeirk4MuI0G0yF1xhLrpOzWujdEWpMwInZp+84rywUnsRngynghtiImUpcCbRnETi0AqWjx3v2t/oVaacEJeoSQONnvAV7/9MWTrIF4wWNgpmAENeDgn95kPjXM8OlSnYze7hygBfhofSpIFb43LtLUqVsp1+/dgyx6DYZlx2iB9StRJC0gwWuVJ/l+0kZFTuTTjMraKZnMgi2veqQTtYZjl+nZo3gxQupcqoTEno1o+ktHWl8VxJ0AxQ2cvHIphVQ8Zll6a/+FBfjm22vN74LgLBoNwhV+NJZD3Ri57Y6v7aIYVLrsbkanxmdjdrjzGeDB6xR2eyLh3Y40y4cuwGaiZYQeKcao+WG12RqfGF/I2pNMWG3eAf5uI/O144xyyEQ+DWCb3G9MFqU7Ez+PKZXrfQCTvpHXwZcq3xHXwnnv6u4c9ZmkCds5vevfD846OoVDGJdgQmN2hdUpYJtdhKrxmjyYoBZTmmKPdToIZxsj1p7AnwvRpKK5TKp0T7bhGgjSLw6pM09kGUqUxJP9/g3vADboofUpt0Lh+MqDSJ6k2W4tdI1ZCk7FGafNohL4WLKz08GRE6NXwnPhKdFhfoDRpXPbbGX9LyF6n7Ng29v+g1/Dlit8l8dJ1BsUVaDVG6QAgHTwbE3gxNb4HQrU8UlxTjqks3W2elduvEmdPHIXDqzEc3aPlLOMKdLij7coGOsLPC+9q2x413Xa6/zaXam1M9XG0qlLb//7BqUaVzNsZf0M2fXTR6EWTFYPKsJTU5T6UynofyUK7G7KRf48uQq433p04AoOHPs1J/i9Lk7KWnM3cNim26+QOa/hLhhCd//726XH+LujdDN1tnVO5NIkHb5+JL29XfDi5R9+emY1elzunmD0irwRF6XwAvcgEFxtiu7JeMYESj2Mvu0/DnmZEHzk8Kh5o3w+vt36VbPGBU7D9PdbCZlx6e9HEn2cmt5DY76Z0z06GGToP56AZNf/FY+7P//dC/j7HHK/V3uVS79ZBamLVHZSqUsb0eViwkY2P8Ob1845g7OeX5ZAXpp6vn+pvj8MI55sCtsdB8jcifIS1sXVfpgu5TJDY4CWk14MH4c0K3waX4lt2JTRyWpQnMKVRKL3/wVDpT86JPXhxNQyaPqQPu10EvilLnbCdfo43mtdY/IHJbOLiHokpHetTl7IkjR08b2lT0ik3uDH7J6+0fETo1u9cWB2xQTX+Bpr/wmPNYdaat5LZ19MESLX/5QvcUOnXmw+ssxq9c6O+BaZTgcnpqvdIFw2LvhXLMnhORFX1Lx+k3KKuMvBw8t0bIpOrzIPmc0K2zHL95yB7nwqsT2s6UXr55oj0qU7KXrVLz2izHbxxypAJBO7g0zWo8DpUu6GbrrA4/pDI57fASLX/p0DETunPyQcF4O3mpnPI+Otl9mv48sdsieIgHQgg72roYvcJi9HibGRTbU/bFsyB0G8xH11mIblz01qf2CKdv1q097pzbMT8tvFCOWWBTtGnRZW90l3F2Oo/vs0BS9fm6/wtid8YarDlwDgvRDSuuoUbPpBnseUKZkq3kNknZ5Y3279EKlicKSBdL+9rZRoNGnyqacRpsueA2xmjenPmxjZLM2UTs97MFSdVnffRr290rfUbF3mTxfPnqfc8aK3PfpRbOTWaB7fMdZz67g9vP7R7GZZevB39H5LaZCS49VLqBxejmlEb3NHscFNusDT/BEyHz8Q3kxBmc9T03kwbMnfQuq8MP6OYPiN02g3z7iGPOBznDvee/bj1PVKZgffQpUrhcqb+LJy+mOvYtTsYL5ZjbtatEXotGtMxMDQbJA1vf1BU7w+e1GBjSqs+vO/8v31/4U0K3OU19CSTz0StUpuSL3l9Q6W96k4NhWO7xwe7/zWJ8k8u1t2kHy7jiIqlfKx24mXzFdnKbcXWyDvNpUKZgK/mScdXh1dZvMxtexTvD/WgUe+k9VkcfTVWJpJEMy72JeMe3OC9Wd/6WxdYblCplkGwSBzPUo8XnfBeGpOzxWfcnfG/+TydkQAf2uBjdROmCL/v/4VR77BWbfN77C0blHlcb7x+h6TwNqRqwOviQrfRL0so2gJY6o19scZX3nujTfVORqgF3B3/HuOxyvfldmv7zfi9ebogjLC6/iZsQwgDM1W8SePVpPWefr1iZkq3+p8f+rSv8Y8cXUjV8IiYrgbQ1y0dSLQZjyfXV46USJQ6eE+E+wvVbmpxK5egLCjQ8CzjCs/Vat00zWLKMYG6bwKnjOQESq5Nt6zElhU7JqiFpNWBU7jEodyhUMhHMKJ441S+Q+E5ka1nBZVr+MjWvjScjq9ltFKXOSKsBvWKLTrbKqOiQ6+Sh713gSp9AHvQLaDSlSs/UOSqFa7uDL8jVfB4YDIVOXzhN8JXZ76CNYphuEAez1MNF7mz95YnHuyKYNNwdxpntUYhj1eSsPTaOaGwbjB2LOoN0qcAKm4Rug7nwOi1/ibo/iy8jHOkhECijqHRGpsaMiz16xQb9fItU2b6GgzS+7RJ/eO2pTEGpsnPbtcTBd6IjnOClzin147Shf5MQlpPerdP0F5gNLlP35gndOq4IcKQ7WTNKKmOFdNLK9q0kVY9uvk5S9c/Z/BVemDv9PLCSqMkz7zA3xhwbM7xQjtlzomML9gbz1GcnvaBBrb6IKjOkG6BUTpmPcb0QYwx+0CAd76B1RVxfIk32KLKDerCQLnFtnpn5N+hsf0qlCqJo1nZNSwdjDHnWxfNqGDRhOIPrRQz7a3heRFGMqcqUKJ5DOj7lZJY1iOxx2Xh3wkAFWdKhyO3cpnR8Xv/+P8P1ojO14u+s/ZLu5qeUuZ1xrs9eI2ousH3nb489XgoHVwR4MpioLLl2MRS2i8WmjA3CcTEo8mJ4YWfcXn6TqsxI+pvo6rBDcryIxZv/gP76r9FpYg1SenajNFm8NRonCEnTDnk1OtN41/PEP/7jmE8+yNl6YBee5csOP/zdkGZb8q/+p6c7evesEAUz1MMFfDdGa8v81U/OVwdfvPZDZpbexPWtw87Gu+w9+Jje9hfTY5yZJu78DM5cm+LOOtXW49PBrh/TXnidmeVbOG5AOtpl697fko32OM1JW8rWGFcGuMJ/qHYtppKf2lRUuqTUmVVmm5zPj1rEzSW0Vgx2vjr1/oSQRPUFZi69xfoX/99jPo3AC+qsvP77rH3+71Hl2Ul1pOPRWnwNEHQ3Ttatb8zdQDoeo+4aqnx60yV+1GZu8S2SvTVMkSNxJuIswoo6TMog2qhJs1VJZUoqXb7Am47ng5Mc8wuVyn6WrEKPwvMiHDfAD5o4rg9CkiUdktEWQdgmjGZJ0z10WeH5NYr8kYXUWDpEx/WpqtyOO7kBgddGOh5SOvhBnfFwk+bMNYa9dWYWXgcMz4FLjgAAIABJREFUrmdFB8Dg+jFlPkJVBe35Vxn21gijGRrta2hVTpmb9h2zkJLm/Ct4Qf1MdZ1h9z5yn1xBCLywRlg/mXxDG0VhEopThNeF41KvX0FIj/Sci/TDyEZ7aFVijplNF9Ihbi7R2/iUTI3IjsysChwvZHb2XYoHm0/NKc/OO6SJJksNrgdhKNHakKaGVkuydNllY61iONBoBfWGIK5LfB+kFKzdq9Aabrzm2XG1h9ad0UAzGmre/d7h1HytLlhYcskzzd6uRmtDHEtcT7Cw7NDZUXR21aFzHXoSAhpNyfJlh91txaCnqSoII8HcokOjIensKrY37QmWVhzaMw6DvmJvR1GcEqRned8KZTihpQG9QO9AWJ+jOX8TP7Qz6qNezLBzuHPVKI0ajhGOJdXBcTjxA0/QmL3B4vUf0Ji9gZQutfYQIQSrn/5b9Clc5wYzHdU5L6Tj4YXNY9/ZoxA4fkTUXHr8oYB0XGrtFaR0zuWuhHDwo9aJbGT7yJMeQspTn81FoMqUfu8uWdY5ssF+2nCcgCBsIV2fPO2DgLg2T1mMQUjKfAhC2pFTVeGHTYY9+641Z18hGW6hdUkYzWKMIh0f3gC2Zl8hTfZsVg6D4wY4jk9ZJnYixYsoixFKFQRhC60qK0zj+EghyfPhoQDuonihHPPzRBjPIqSL44WWzEQVlsTAs7t6gyYIWhil8IM6Zdkkz/poZVMbluYwRWuNkJIgaiNdH8f1kY43ffn9YEL64VqxAik9PL8OQiIKy861f97pcUIipU3XmvIRx2UMZT62zt/xD3am54R0POqzVwHBqLNKffYaXlhHSo887THurCEch/bSGxTZENePKNMhRTYgrM/TXn7T3qfjko52yUfHd5KH9XlqM5ctIxmG3tYXVHlCrX2J2sxl0uEOVZFiUHhBncbCKxMZRIF0PEBQn71GUJtBSpcyHzPqruG4Pq2lN5i5dMsKNfQekA53cLyA+ozlu+5vfUFVnE8E4/J1F2Pg/p2S2XmH+UWH+3dLmm344e9G7O0obr3r89d/nrK9oXj/twKu3HDZ3lCMhpq11QohoN4UXL7mcvuzg1TYaGjYeqDQD2m01uqCH/5eiJCCIBRsrVes3at4422f5csOm+uKH/wo4N/+m4TdLXUkyysltGclP/7DmO6e4s33Aj76Rc6D+xWv3fJ47ZbP9qbCD2B7U+E4cPWGS60ueee7Prc/K/jwF8en63w3xnNjXCew8+JeHVcGDNOtcz3Ts0BIgVOvgefiLsxYHvDd0/sU4sYitdYKrmfrxX7YpL34Bvc/+3fwDPXSHDcgiBZtY6h0Ge7dASHxwjrpcAdVZsTNpckG/KCs0pi7hhAuVZkgHY8yG1KkA4LaLFFjgaR/0AEct1Zs5my0e+JC31p8HdePLa9BPEuRdPHCJs25GwgpkY5Pb+sLyonN1tqXqYqEKk9QusJxA2ZX3qHIhjhuQFWMSQZbuJ7dTDhugK4KBnt3qYrx5HoRQjhk4z3S4TZCOtTbV/GjJkU6QJMTxDPEzWWk609tdtxbQ1U5cXOZqLGIMZo86ZEMNvHDOmF9AccNUGXGsHPvRLuVjosfNvGCGmWR4Ho2uPLDJlpXSOnaNRFByZioNjd1zFFtnjztovMCz7cliEcdc1SbJ4hnSAabKFXiBw08v05g2mhVoaocrUpcL8IPmnat1xValVTF+Iwbtsfj761jrsoMU6aTFK+gLMYoVeK4PkU+xOgJAb6ALOmiqvyIAzS6IhltgjFUleU+LvOh5UIuU8oyxffrjAcbCCFJRtuWHznro3VJVWZUZWZnkLVm1F8HBOl4FzUhBdk/fh9aK7ZWf4bn13CcAOm4kwjdxQub1NsrOO7pzVLS9am1L1OfvUYy2AQEwnGRjo8ftXCDmnWWWjF//fvs3Ps7hJQIx770rhfieCHGKKTjnRq5C+kgHQ/HDfGjJlWR0t/+EiEdGnOvIKRLNtwFDGFjgebCqyS9DVzvoNNz/968sI4ftdCqpMwGeGF9en4hrTMXQhLW5wnrc4y798/tmPPM8N73fMrCsHTJYWHZYWPNOsof/n7IL/4q48d/GLH1oKLf1Vx/1WNpxeWLT0r6XYXRNuDb3lDcfN3jl39zelbjxmsev/W7Id1dzfyiw9ayQ1nCyjWX+QWHv/ubnH/8xzHzCzm9jqJ8xIcGoeDNd31+5w9CPvhZznd+EJAlml5Hsbjs8totj+FA09mZfB8C6g1JvSn5zg8DDJzomKVwqYXzuNJHmYrQa075q586tMFdmLE0hsagRsljHfNhjWuY5E2fOaTj4foxjhfih00cLyBPe0T1earcLs619gpe0GCw8zVCONRal2jMvUI22kW6HmFtjqT/gDIfE9bnaC+9YR2zgaixSNRcRhUpeXI8E50X1GktvEpZWA5zx7VjYELIqUOMGotURUJ/57adQ29fRpUpSX8TVWW2XHT9h2yv/sI+8yrH9WPi1iWixgJVkeKH1vnsrn3A3JXvkI87VGVqHeCEcMiPmrSX3mS4d5eqSAjiGdpLb9hMoCptNC8l6WBrshEYoLVCOi6uH1NrXyGI26gyxw8bCOnSeXCKbOKEctgLavhBA4PB9xsko23CyJJDjYebNggKGrh+DYzG82I8r2YznZ7NADlugDoU5YvJuuoh3QDHDZGOi+PUyLM+WbJHnvVp1eYRUk5Ln+l4lyzt2sj9KeClcsxCSGqty1NHW2SDE9M2g+7dU8+V0QFhDb2THc/Lq3XF3pat6eTH7WoF5OnRxSVL9g4ds7+YDHqPH0w3umLj9k8P/nzycjmuT2v+NYLoj051zNZxzTGz8jZJf5Pepq3z5eMOZTqgKhLChnVs2WgX6XgMtm9TZqPpjRqjcfwIXRV01j8+5W4FVZEw7j2YlAuuUJu5zGDnK0ad+zTmbkxraY4fEcRtiqTH9t2fUWuvEM/Y77JIeqgixY9aRM1Fgtosw727DLa+xPVCOmsfUqT2+VdFwqizOom2z487XxT8zj8MuXLDxfcFaWIoS8PyZYfRQCMlfP1FSVXabGueGe7fKfngZ4dTeNsbijzTPC7ze/WGh1ZQKcP2VsXejsLzIBlrPt1U3Pu65MH9Cj8UuJ6gLA57Hj8QXL1hnS/A6tclaWLf2wf3KxaWHRpNSbNtNwhzCw6eL6hKg9bWUZ/Qb0VRJVYUQw/JygGh1yTwTtC4fkLoPMeUFUYbdJIeKzLyKLLRDslgC8e1m7giH9Db/gJzxmaiC9+rKkkGm2zf+zlxc5nLb/4j9tY/PPZYIQR+2GDh+m+RDrbp79wmaixAbe64o5Guz/yV75IMtxl27pEnx21OBFFjCWMM3Y1PMbrCcb4DQqBVQdJ/AMhpOWjUWSUZbDLureN4B93oQggcL2C4e4cs6YLRRM1lwvo8RmuS/gZhbY7G3A12136FURV50iUb75GPu1RlBhiGe3eJH0nXa1XS3/mKdLjDzPKt6aYgiGdZ/eTP2F9L4tYKYW0OVeWMBxtE9QUas9dOdMxaK8p8hNF6WqKrygStSrKkQ2v2FZTKKbIBUW0OVaY2rT0RchFC4jgBRlcY7CbrYcecpV3ytIfjBnh+gNYlRWYJdsoioXro2KrKJqU4Pd2EPC28RI5Z4AUNrr/zT3Ecj87WZ+yufUA2Pj7FOulLmPz7wDsKKTDKIByQjoMXOuTjEl3Z37uBg/QEVa6YaEggpUArfagZS0qB9CSOK8iGJdI5uOC+Nq50BI4nEY4gH9lj7LUFWp1t9290RVVUVMXYpmkek0qRjocftajyMb3NTxGAG9SZu/odO3zveAjHpUz7tsGqKimzExqVHpNCd7yAxvwrNOZvWMcatyizAcfNFEvpIqRrjd0YqiLBGIMb1GguvoYf2jEZxwtIeg/OfA/nRVnC3rbildc8OruKTz8sKArD1oYiTQx//eeWHaqzqyly69wehetBa8YhiiXtOUlcExSFIQgEM3OSKJbMLUh6XU13T3HndsntTwt2txTJ2FBvSS5ddamqgxfgJOblqjJsbyqMMfztX2TkmaHftfemdEWWGd563+dP/rMaP/+rjHe+G3Dpsssv/jrjyo2KIjcnslNpU9Efr9uOZeFQVGcVJjk/hO8jfA9dFJRrm6ju40Uq+nt3kF5ooz/XZ9x/wIOv/xKtnm0ToK4Ka2dGo1WBdFz2qScRYpK9mcxKSwcvbBBWc/S2vrQLxvRZC5tynjR5CmEbwML6PMO9eyfXgoXA9UN0lWOMQlUFStk6Z6192UalqU1fl9nwVBvRqqLIhuzvIB3Xxw9tatj1I4xWjHvrgGHz679iduVdGrPXGex+TX/n9okZqTIfoavCOkCjpyW+qhjz8MvmuAF+1MT1IrywjlYV4/6DY88JoKqM8dBm+R59af2gSZ52KYoxSuWMBg8YDQ7OtXX/Z9N/59nxc++93bMxTPb3Tm/8e1K8NI5ZOh71mas0J52H6XgX6ZzMthQ0PetsDfg113Yba3B8STmuCFseZaZZeW+G9V91SDo5bugwd71OPBfSXR2hK02ZaeJZn7Rf4AWOrR9OCN79mkf7So21X+0Rt3xUaVPjZaZwPIl0JEHNpb4YsvFxl6jlk/ULnMAh7edU2dPXvVVVwWD7K3ZXf8nKm39AnvSJW8t297312UO1530cXbGNrhCISaRueb2NPhqlBPEMXlhn3F1ntHeP9qW38ALbTS4df1In95Cuj9EVqspsbc2PCGuztqu1uYSQDv3t26iyoLHwyvS2lCpxHM+mpYoErdWk7u3bFL/rI6R77rrPR7/IefMdn2Ff8/XnJUVp+Oyjgv/iXzRZueri+YL/7V8NWb1TkaX6UIlDOraB7I/+JGZ+2eF3/iAiGRnWVituvOryD/4gYn7J4T/6T2r82f+e8MHP7LX+8E9qGGP48Oc5X35akmfGRseGadR+XFSbjAy//JuMf/FftllacXEcwf/zf45ZX634zg8D3v1eQFUZ7t4uMQY21it+63dD/tE/jZmZc1i7e/ouP/AbtOMrhH4LhCArBs+E+MeUJSIKcELroM+Cqhizs/pzdlZ//tTv5zSYidzmw1BljuN4uF5ox+wC+31qbR3N/U/+jOvv/rGtQxqNlHJap/TDpj2v0eRpl3sf/18sXv9tqjKjv3N72tdycAOGPOnTmL2B51uefdePcL0QFc+QDnfYW/uQuSvv4QV2Qzu1tYm9CWl7Ph6dyimzEdlwm6T3gL0HH9nNuVaAoEgHbH79V7QWXiOI2kSNRUad+9PzOa5NASPE5AkdnNvWYFO8sIHjxYCeRprpcJsyH9Hd/Oyh6z3+W3gUWlcMe2u2DPgNx0vjmB3Hozl7/cwR1PXfXkQrw3g3Y+lWGz926a6NKZIKVWhe/fESP/0ffo16KGqZf7XJ8tuWUD+ou4z3cjr3Rlz9rXnChkdtPqLMKpJOzu7tAd37I4KGx/f/2U0aSxG7Xw+JWr4dx4pctr/os/FRh3g25Hv//CaNxZidL/rs3O5TJNUzccxgDlJxd37O1Xf/YzY+/3NmVt6h9vrvUxUpWhUUx6bQLMpshNYVc1feJ2ws0Fn/mOHO10eOy5MeDa2Zv/ZdmvM30FqhygTXC1m4/n3aK29hVEVYn6O78RnZcIfZlbe58b3/lDzpIR2HbLBFe/kWjVd/RJmPbcqqtBy82XAX169x9d1/Qm/zC4Y7XxM1Fpm/8X2C2gxuWGew9RW79395fK72BKzeqfjv/5vuNCMCsL5a8d/+Vx2CUFCWBlXZ3/3Z//GIjKOyaex//S+H/K//89AuUJOvcXdb8Yu/zu1e/6Fz/y//4wDft0tNVYLWNg1t7NfFv/6XgxNv3xjodzX/3X/dwQ8EqjJUk3v7i3+X8jc/zRDCptyNgU8/LPjq8y5a22h/vyZ+EmbrN/DciCTv4Ezqis8CwvNw6jVkHFLceXFoSc+KpL9Je+kNLr32Y6o8QUhnmq0zWpElHTa++gsWb/w223f+BhAsXPv+JDOkD2Z5jaFIB+zc+zmzV97HGE1v67NHrmYY99aYvfyuvV6RIF3fOrgiYfnmj6g1L1ne5yrD8QJmlm8xd/k9pOMRxG16W1+QDjaPfI486ZCOdpi59A7t5TeoyozBzlf0t7/k+nt/ipQewnHobnxq7XvuOouv/Db11gquHzPY+froBMv+Mxh3GO7e4fUf/HO0Khl177O3/hHpaJeZ5VvMrrxDlSf0tr+k8+C0EtnxqMrz9ZO8yHih5pifBEE8wxs/+M9pzF5DCMn26s9Z//LPSQbHc53Ov9Zk5d0ZpCeJ2wHDnYy0mzNzvY4qFPWFiI//zT1u/t4yt3+yQW9tzPI7M6y8P4vjSYpxSdgM6D+wxX43dNCVRiCoCsVoJ0NIuPK9ecZ7GVWmUUoTNW0U//+z996xlmT3nd/nVK66+b7cL3Se7skkZzgUoyhRXFFar6TVar2A17D+sAEDNmDAgP8z/JdtGAvYhhOM/cPG2sDa3mBY69XuWmFJiQoMQ3I4nNQ93dPx5XBzqFvx+I9T7753++XXPdOvR/wSjWFX31tVt+qc8zu/9P3GQUJ3Q+XRpl+s0q8PiIMUTRfc/8E6vXqw36bwUJQmrnDp1b+JV9hh4Vn88Dus3/vBMNetCqUMkqyAQzPsLBRosx0eUtGDGJmm6JZDHOwtaNB0C80wkWl6YMuTypmp6nFkOqTtTOJAFVgY5nCHnCYRyDTLgYlMj1ojiYLsnlUFu5QSKRPSWHkRhpUDoXbkMlE95FpW2S7TRLUzPOpxPA4+ZaIER2G6+jJpGpGkISVvliSNeLjx5ol61hde+BZT59/Y1S61zOqdv2Bjl6crLBPz3CTm/AzhvUWipSdf+f0kIISW8QuoDa4QGrrlEod9dMPJdNBVWkumirVQVTz3h15lEgfD1M327k8CSRxgWh5R0BsWcckkOjA9pZvb15PD66mwsa3a2jLOgTQOEbqBnkUQZTbfUplm1xttRRSaga6bILTh70yTGMNy2U6opElEmkYIoatOEk1Xa0EaZRFDjTSJswJRNR+320uFbqifncnWakLLPG0NSLM5+/FV1Z8lPBN9zKdG1ubkFac5Liey5RnUH/bobvokYUoSpqSJZP1mE5lKNF3Qb4bc/KMl/JZa2Gt323Q2fIQQyCRFN3XiQLW/ZGMYQBWwxBI0aC33icNskkhUrnn3Z4Da/S5JlAy/P+hEH9vinyYRZIM+TWPSUE36g3JF+xlldZ7wGAZPLQrbRnQ3knhAEu8lUdjvPpJDQtHxI1WQMklPPKk1jX1zxfviBO9F11CbhiO80rOMZvchaZpgmzmCqEMY95+IgMujEJaFXi2pwi//+OQanzSkTJG7xr2U6XCOHETasT2mZZoM/3+SJsDekOu2kZQyOZIE5CASkv3GvzxgHj5qlNV9xsT7zLn95qaUqsblMOxeJ5I4gEd6nVOZHlkb81cNnwrDrBs2XtZ3d1w0FruksSTy46GBBHi0ALu7S1M18hMi/2QVn2H36AEXdP9q7A7PIvJ5wZXLBu9/oN6BYwuSROWKpYQoq17WNMjlBP2++nuSMDzuOALbzipwLeh2Ja4jSFKYPaexuZXSbqnNW5KA60KcDYvBQOI4gsFAEp3BYRCEnYxWMSSK/ceiuT0Quoa1MI1RLZP2/cxz+jl+jr+6+FQYZtPKka8snIhow2886wIUP8eTgGMLLl1UrVGGoeItlq0q6AeBpNeThJHEsQWmCalUhndrK6HVkkxO6ExPa9i2wHUEYSS5cTPm1VdM3nk3olzSmD1nYFkQxbC2lmBaAs8VlMuCbkdSqWi89dOQ+w8OZvd6Wtj2jpM0JHks0ZZDQgZSIgcBSb1J3Ggfq1Xq5/g5Ps14pgyz0AwMy8W0PAwrh2F6mJaHkx+nNHF55LNeYYrJhdcID+hB3o2g36DbXDqgZ/DQO8K0PCyvjGnlFelA1tyPyHh3U9XOEEd9okGHQb9OEgV8OhKVqjLb9irYbgnDyg3JTiQpMomJowFR0Cbotwj8Jif93bZXoVA9P6xcHfRqNNZvjlSBm3YeJzeG5ZRUVaxuqtxaEhFHftZ7Wc9Cf49cX4BlwcWLOq4jMjZI5RmHkcQwIAol3a5kclInjCSaBm/9VNLtJrgunDunUylrqq85gL4vmRjXcZyYQlHj3IyOZQnabdXXPDamESeSmWkdvy8xLYHjnKSoSmBYLrZbwXJLmJY3JFnZzvMloU8YtAn6TdUO84TGm2bYOF4Vx6tgWF6WPxSq0CgaEA7aDHoZt7vc6Xs/FKkkWq8hHDvLl+78k+kUKU9cyaqLjzhNGuO312nX7p2KOjRXOqf4pLP2JSlT2rV79Nvrp2Z0EpqO441Rmb6+66iktXmXfnvt2D3XQtMx7Ty2W8ZyS8MKaIE2bJlSLZNqnj0uF7ZXnKY0fjkbUwnd5hLd5tLIvBOaYuFScy+PbrjDau9tlqw445MI/RbxIfdkmC658iy50rnsiCSOBtSW39035XUYnFyVfGVhpNq911qh21jcE+a3vQqVqetD3oPNxZ8QBX1AKgazwhSWW0LTDJI4IPCbdBuLe0hJLKeAV5zG9ioZ82NMFHTotVcJ/faJx88zZZjLE1fwSjM4nlqQbKeEmdGzPco+la/Mk6/MH3CmUTQ3brN8+7vHM8xCYJhuZowquPkJvOIUtldRVHHZIonQsiIlxfAVDloMejV6zWV6rRX6nY09+dFnCYbl4eYVJWK+dA63OIXtljKmHBMpU5I4JAq6DHpb9NtrdBsP6bXXs+d8PEPh5ic5d/krFKrnAaiv3aDbWCQctNF0k1x5jmJ1gXxlATc/ieXkh21ySTwgDDr0W2t0G4t0Gg/xOxsjkyoYSO4/SBR7kKFh2+APJJ2ORNehUtaQEpaWEyxL0GikVMc0BgMVlt6qpawsK0auIFCG3LYEt26r9qReN+XOXUmnk9LrSTxPMDamcetWzMpKShxLgkCysnI8b9m0C7iFSfKlc+RK53ALk1huEd1w0HVTVb7HAdGgjd+rDRekfmeD0D+9hrimWzi5MfKVOQrV8+RKM8ONkBBaxnrXY9DdHD7rbmN5SP5wVJGpTFOMqTFknJD2fOK+Wowdr8LM5a9SqMwdeY9xNGDj4U/oNB4ik5MbZrcwxcylLw+LJ9M0Yf3e91n88Nv75mKPA8P0qM68yIWXfn14LAq6xKFPv7N+5DQQmoHtlvCK08pwFaZxChOYlpcRq+jZpsgn8Fv0O+v0Wiv0mkv02+uPGJDjo1BZ4PyLv45uWCRxwNq976vzZa1TtlcmV5qlUF0gX57DyVUx7Xw291VtSRT2CP0WfneT1tZd6qvvH1iXYth5qjMvce7ylwFlTAe9Ou2tOyc2zG5hmplLX6Y4dgFQG7bVu9+j317fY5jd/CQL1/8apqM2ft3GIkm0hJMfozrzIpXJa7jFSTTdIgn79Npr1Jbfpb72wXBMuIUJKlPPU51+Hq80jW44pHHIoFejuXmb+ur79FqrJypCfaYM87krX6VQvTCkn3sasJ0SpcmrVKauUxq/dMROXkfXLUw7h5sfozR+iXT+c3Rq99hYfIvG+ocZ4cazBIHllihPXGF89lWK45cOfB+KrCBPrjRNZfp5Qr/J5tLPFPFLd/NUBR+Kp7hMkkQUxy8ye+Vr5Mvz+97DNllCvjTL+Owr1NduqIW7dm+4e+90JT/44c6E2Y8Fa/vYR3fi7QLY4WdaLclbb0cIEe35N4DFpR1rq+tQqWiEIbz7XrTn/IdD4OSqlCevMT73KoXK/L7sZrqmZ7+7oMgmpl/A726ytfwztpZ+RtCvn9ib1A2bfGWeibnPUT33Iqa1V9ZR001MK4dXmKQ8+Rz9zjqrd75HY/2GIpo44ppC19GLBZJme+RhqKhTrFTbtkk7njCpzDb67TU6tfu4+YkhvWtl+nnWH/yIKOzv9L2dAKadpzz13MixbnMJv7t5pBel6xZeaYbqzItUZ14c6bbYDU03MEwH26tQHLtAEge06w/YePAj2lt3CYPuqe59iIz4RGQ0cW5unPHZVxmf+wxecZJHC26FAM1yMSwXNz9OcewillOktXn7yXZIfAxwcmNEQY+p828wPvfq0OsG0F3lCOYr80gZU1/9AN2wmVx4ncmF14ddB6B+f96aI1c+h+UUWb3zF3Qzopbj4JkyzHHoZ0pMowuSEBq6aQ9DUKDIJ46zIKjz9o8daihOXGbh+V/Fdksjx7fD1jJVsnE7REA6mqYr0Qoh0DSd0sQVLLeMYbqs3fvBmR+su2G5RaYvfpHJ+c9he6qnW2ZNuWnG8rMdjtxuLdkW5XByY8w990vkSjMs3fzX9ForJzbOumHjFqcwnSJXPve3lfzldktHmuy5tqapxVzTTcZnX8HxKix/9OcH7t73M5Dbxx7972Gf2Q9JAltbKVtbo2PyOBXbtldm9urXqc68OFwA1HNPH3nuQomAaPpQZCRXmsHJVfGKMyze+EMGvdqxjbPQdIpjF5m5/BUqU9d23fOj10YRx2g6QjPIl2a59Mpv8OCGvdPScwhkEJI0s/5XbWeh36ZqFJqGkYVKhVAypHpGlrF73j8OBr0tOvX7jM++im7aCCGyKME8gd88Me+60Awcr0KhurDzO2VKa/OOosA8BJpmUBy7yLkrX6U0cSULEZO1C6ZDRq3t5y40tc4IoaEbNuWJq5TGLvLw5h+ztfS2UmI6pXEWaJh2AYQS6zl39euMzbw4JFFRZCHJMCoisvsBgRCCOPYZ9Gqnjjp8knDy4zi5MSVTarrE0UCx7ulGJpCh0pczl7+C36tTqCwwdu4lTCtHEodIuUNyBGodGp99hX57Db+7dWzv/5kyzEu3/hTDcvaErZ1clekLv0CuPDs81qndo7byLoPe/iTwuxGHvSMnyjb8zgbt+n3Gz72SHVG9tdthPL+7RRR0SNME3TCxvQr58jy2V4FM5F0IgZsfZ+zcSwx6Neqr7x8KIiIJAAAgAElEQVTr2k8bumEz99w3GJ97FdPyhhNRpjHhoEu38ZDAzwQ/NAPbLSujkJ8YDmohBNXp59GEzoMP/j+6zaUT3YNpeYzNvIhXmB4a5Tj06bWW8bubRGEPgcB2K+TKs8rLEDvPPV+ZZ+biF0mTiPrqyUkMngZ0w+Hiy79BaeLKkDQfVFtM6LfoNhYJBk2SWCmU2V6VXPkcjleB7Lnrhs347Mtoms69d//5sesp8uU5pi99kUrm9Q3fecZS1a7dJ+g3QUpMy8MtTpErzmBYLpphc/Glf4PG+q0jOyaE5yLDkHQQIHe13/idDe6+/f8M/67pFoblYZgu1ennmZj/bNYm+fhIk4h+Z5NO4yHlyavD49Xp5w9VPDoItlOkMHZ+2D8MEAV9uo3FIyNlpYnLzF//axQq81m9SvbO04ig36BTf0iUiUHoho1bmCRXnFEeXjbPhG5y4YVfQ9dt1h/88BQ1NBmEwMrC1HPXvsHYuRcxTG/ojERhn0F3kyjyQaYYdh43N6ZqToRO2G8eyCdx1lCoLuDmJ9ANh079Id3WMrpuUKhewCvODKM1+fIc4+deplBdwMmNE/SbdOoPGPRq2F6J8XOvqn5tlFNQqC7Qrt+nU7t/rPt4pgxzv73Cfn3Kcdgnnh0tLAiDLt3GEr3WcQaEPLYH4XfWaW3cojJ5jXDQpr76Pq3NO/Q7ayRxOEKkoXaMavdUnb7O3LVvZF6m+g1ecYbK1DXqqx/wLBSDTV/8EuXJ5zKDqBZnv7PO6t2/pL56I8slpuz8dqWZXKxeYPrSFymN7xToFScuMTH/WZI4wO9uHvseLLeEaRcUgYhMMqKKtwj9FlKO7tp1w6E4dpHzL34L2y1DFgrNV+apzrxAr7VyoHrPaTDsZd8OTe96pdvR192O47H6p4XG3LVfplA9PzRuUiZ06g9Yu/eDjLIx2jPmDMuhPHmNqQtvUKhse2yCytR1es0l1h/8+EjdWE23mJz/HMWxi7uOSkK/xdKtP6G2+n7G17zLUxIaTm6MiYXXmL74CwihU568OvT49oWh41w9j14uQq+PMA9eltIkJPQjJVJQmCSOniz9oiou/HDEMBfHL2NnVJcnEciwvAql8Ssjx5obHx5ZkGp7Fc5d/UVypZnhsTSJ6DQesvrRn9Ou3x/xUAGEpmE5RSpTzzN96Yu4u0QyZi59iXDQYmvpZ6dixxJCYDoFzl3+Sjb/PcJBi/raDWrL79Bvr+1Eq9QXhhGy7TnfaT4bbG7FsYtIKVm69W22Ft8mHCiN71x5lvMv/nWKu6IfUxfeQGgG7a07rN79Hs2N22zzgnfqDzn/4q8N10onN47jVZ9tw3zxqoWmw52bo6HGg4ynlMlesyZT0jQ50UQ6DpI4pLH+oap+7DeIQ58kUxk5+DsDtlbeQQJzz/0Sbn4cyPKlXhUnVz1QbOOsIF9ZYGz2ZWyvrAhW0pT21h2Wbn+XbuPhgWQH6nndJAq7cE1SmlALlaYZVGdeotNYxO/Vjh1mE0JD6Bpx2Gfp9p+ytfhTwkF737GRxCGNjZtEYY9Lr/4Wbm5sGPIrVM5TnX6e1bt/eeJnkStqaJqq1tay4E2+oDF5zmB1MebicxZ3bgbIVNDtJMQRzF0wyZc0Fu9GRKGkOqEzd8Hkxs8CBv2UJNkb7RWaQaF6nvHZVzGtXPbcE2or77F293v0WisHFvckccDW8jvEYZ/Zq79IoXo+86IMJuZfo1W7nxmIgzeElanr5CvzI6xwg16NxZv/msbajQOrbHvtVeK7f0k4aHP+hW9lIg+HIE4YfHAHjPuQpqSDo4xtxmc63AQ+OURhj25jkUGvjpOrAmqelsYv4Xc2jj1PNd3EzY/v8eYb6x9mVfIH49yVrynvLOvuiKMBjfWbLN/+U/zO5v6prwQGcchm+BOCfo2F57+FW5gcbo6nzr9B4LdorH1wvAcxAoFp5ZhceB3ddGjX7rF+/01aW0rEYr+1L0EV4/ndLQSMqDKdZWiaQWPj1k66IVtX+u11thbfGjHMum4RBl3qazdpbtwazsU0iagtv8O5K19F1+1s01Q4VmfBNs6kYZ7OhAIeNcxnBeGgc+CAPAhJNKC++j7VmRdUFW3WZmKYLk5u7IwbZsHE3GdwvOowZ9vvrLG18i6d2v0jcuSKgrPbWGLt3g8oVC8qbWehisgK1fN0m8sMTuA1J3FIt7nM5sOfHNEKJDPh9ftsLb3N1IUvqNoAIbBzFfKVeQzTO7EX8fwrNlPnDBbvRhRKGvmSxsCX5PIalTGDyrjO2KROqazzw+/2WbofUaxoXHrOojKmE8eSUllHNwQvvwbvvRXQae3dWOiGzVRWVCKyHUCnsUh95T26zaUjxp8kiXzaW3ex7AK58tzw3dm5KsWxiwx6tUMqtQXlyavYXnWYOgoHXZobt2ms3Ty09WWbF7m2/C6VqWsUKgtHynCm/ex8x6uE+/ggUwK/SWP9Q2YufTG7JUFp/DLNjdvHnqdObox8eQ7dUL9bSonf2aDfXj24UjqLNpQnrmKa7jBs2m0ssvnwx/Rbh7dXSalEIVpbd1n56M+49OrfhEyn3C1OUayep9daOXF1vir60jHtHL3WKuv3f5iNgcPnzbby3bOGTu1Blp7ZmZNJ5NNpPFQ0rFl6CCHot1fp79kgyyy8X8dySuiahW46mfd8PE7fs0mxI8GyBF7+bN6ekns7OU1THPbwO+sk4c6ipunmiXZSnziEUELok1eHWq5SpnQaS7Q2jl9lmcQhncZD+p214YDXNJ1ccXok7HYcxFGf5satIz2+baRJxNbyz7JwdyZvpxs4uTG8XeHC48J2BF5OY/a8yfwlk8kZg8qYTqGkUa5qFEoaXl4jSSRJoqhY40j9sW1BdVynUNYRAkpVA9sRe7RXhNBxMsH5ncKflNbWXdr1+8cef1HYp9NcGtn4qIjB3J4CxpHf6JXxilMYu/R7g37jWAuyutlUhU+X3zmWTq1WyGEuzOC8dBV9rHz0+T9GKKWjD0iScBgudguTeMVpDHNvRfp+ULrC82ynrZQYxYdZAdT+Y1ZFkV7AcorDdx4FXdr1+7TrD44d/YtDn+bmbTr1h8O+Y103h21up4VMU7aW3qa1eedTJRjxKPzuxp4+cClT4rC/R6DD724S7JsSkoSD1rCoWNP0TN3rkJTOLpxJj9kwBc+9ZDM2qcTpQW2iv/37XYLB2c/FHoZw0FG56AxC0w+Vp3za0IROrjyL5ZSGHlcU9vE768cumFPY9pwXcQuT6KhzObnxrDDu+IijAa2tvWpWh8HvbuF3N3ELk5mxUeG5XHGa9tbJtFXv3w7ZXIsxDIG9LEhTFdY2LcHAT8nlNbodpYlc20xIU9hcjQn8FNsVXHzOIo4ki/ciAj/F7+/nLatWmd3tGuGgQ7+9dmQodBSSOOzRa62OhFXd4vShG0KvMI1h5YYGIk0TRcTTWDz2ldM0prn+IbNXv46xywPcD0LXs+pXHaF9PO1Qx0WahPQ763QbS5linRKfKFTm6dTu02k8PPT7uuniFiZxciplJaUkTULqax8cmPIBtXhXJq+NhP797ha95sqh39sLVYxaX3ufXGlmeD63MIVXmFLyiqdIAQz6dVpbd/ZVj/q0QEqp1uj9+MZlShT0VL1KtuHajp7uhzge7KoDyHS6NQOOoRd+Jg1zs5bQbiQUijpuTlMpJRR/8bOOnQIpBYE4vDDmKUPoBoXK+ZF7DPvNU7VfbMvf7f6e6eQx7RzHDfFIqcLTJykYyy6O39kgHrs49AJ108E5obcOsPzg8Im1HY3dHZWtbyXUtxLyRQ3LVjnqOzdDBv1038itbjrky6OkGoNenSjonPi5p0mcsa7twHZKGJbHQc/dLUyO9IZvsx5F4QlaXqTM7rmrvEBxyDjXNNL+AIzOUFjlaSIOfbaWf6bC0ZpSI8lX5vFKM4oB65B34ObHyRVndor10gS/vXFEe6DKBeeKMyNzbdDdOlWaS6Yxrc2PmL369eEx0/KyNk3n0FTEQeg2Hqoo1eP0RJ9xpGmkwtL7/MbtDdZ2gSdAHPkHpiZkGo9oUguhHT4HduFMGuYb7wxYXYoolHR6nZSt9ZjqhE7gn01vWdPNjCLPQs9kFVUeVRv2XAqy5vzCJNpTJEg5KTShkyvNjLaoCYGbG6M8+dzBX9zvXLqJ7ZTYHbfVNENJSOrGscKzSnVncCrKwcBvjvQR6oaNdUg497Q4rKe5205598dHez+abuE+QighhMArTu9pFzwKhuli2YWRY1omA6hp+r7GwslV0bSdvHAc9o9Fb7sXqorby08evLMWAq3goXkOmm2TtJ8+I16ShDTWbjJ75WtoWgWhCWyvQq44g+kUCP2DK9pzpXMj0YkkCaitvndoSF9oqlfYsL2R9xsO2mozdkJImeJ3t4YV+6q3WMOy81hu6VSGeT/mrE8bkmhw6MZDjrRRZOp5B3jA2/wOOxDH1jM/k4Z5csbg9a94XL5usXg34l/+kzZf+1aOf/VPOgzOiHEWmo5huqqHMD+Om5/Ezo1lnNEehumoAq/txnRt+7/ax8Zc9LEgIxXYfc/58iz5XT3jjwtNNzJ+2WMY5jQhPiFF3zaioDeyOGqaPpJDPUvQNAPbLo4cK45dGNIMPpFrGKbqtdzHMBuWN+K5Kd7j0+UVo6BDKmN0DuhlzkQsRKVI0ursFII9TWQ58ubGR4zPvYKhuQihKQra8jz1AwyzbjhZ776KxGznJutrH4zwTD8KIfR9UguSKOqfyoiCCsnHYR/LLQ09Nd2whi08J0U4UPwMn2Yowpzj2ZhtspePo9X1TBrmVz7vkstr/PC7fV74jINpCV59w+GP/1n3DBhmxTjkFiaZWHiN6vQLWQvRQV6M3OM5bYc5nwWoynHnY71hIfRjh3i2Rd5PAyXiviuNoGUC7Vk4V7c00jjds2EWukDTBUmUjs7B3VHg3Y8nO6abGmkikemoMMPoD9r5rtgmkpA7bHYfJ9Rz33/c6oY1shlTz/10IeY0iY6stE4HAfaleZJak6TTI+k/fU1mmaZsLb9NefIKuuGoiEVpmkJ1gfraB/t6VrnyOdyMUAdU0WOvtYbf2Tj0WkJoezaJUoJM4kMN+lFIkjC7z4zONGNLO9W5DgjxfpqwwwdwvM/Kj8Eowxk1zHEkaTUSGrWztzuzvQqTC68xffGLGJZ7TIMiM5WpaGgMjmuInjqEQBv2sT59PM40SB8hZVAQaJpBKiPOf2WW2u0m/a0+mrldCQ35KY/iuRzr79UIexGGY5DGKbqpkUQJmqFhOgZxkGB6Bp0VFYqdfWOa7lqP/paPZunKuIcphq0TDZSRi/oRpmdi5UzMnEnQCuiu9RGaeKopj20hlm1ImZKekhMgSY8hYtEbkDTairpWPyvdGJJW7S5+r4bpFNF1E91w8ApT5IrT9Fore75RrF4YFn1BVuG9fozeYSH2tJTJIVnR6fGogIiiCD7dsn8axa5nDkcy/nwyOJOGudtOePl1h2sv28xdMPk7/16ZpfsxSfx0vWW3MMX0hS8wMf+5zCjvLCCB36LbWKLfWSPo11VlXzQgiQPSJCsCkJLJhdeYmP/ckLzgzCPbtWPuuHb9zga95tIJq4MPRqd+X+3sjwEhNLRTbmq0rKdzFIrjW2iQm3Cx8ibC0HArDrEf03zQJo1TSvMFDNeg/lGThS+fI4lSwm5EPIjRdI1BK6B+t0X5fHFomL2qQ27CZf3dLYSuYdg6YTdk+tUJkiglN+kR9SOcskPzfpt+zSfuq2iAlDJ77jt3qlSDlpWgwhNAp/7wwOiDTOLR6IIQaCfMbQ+/K4/e1GmeQ7S4RlxvkrTOEKdymtJYu4GbG0PPjQ3pdEvjl/cYZt10lWhBVrcgZUoYdGhu3D76OtuFRbug+N4fb0Os6cZo5EMmpxKPeZagntsz4vgcgDNpmD94O6DVTLlwxWJtOeLh3Yi7N0MGT7FVSjdsqjMvMDb7MqatqllV/shn7d4PaNfuEvitIQtYmsSKkSwdzUFEYe+xQlOfNCSSOPJV5XQ2v4N+g9rq+ydqnTkMSRSQxicwzEcxSR0ATTNHNlMy3e5HV+mGoBMSDRIsz8Cv+8hEEg9iels+uUmPeBAzfq2KXbTpb/nEvlrgdFvHdA28MYfibB6hCWQqCboRQgPN1MiNe+QmXfz6gDhIkKkkCRPSWNJb79Hb6KNbOmZOeclSpsTxAJOdoi2/u8Xm8s+ODIseF3HoHxie3t3DC2StHqdb7B4Ni++HNIzQCi6W5xCmKzuCFmcAjbWbjM28hO1VEELD8srkqwvoD52RNqZi9Ty2Vx1uYKKgm0mUHv1bpEyJH2mJUqI3xlAT+TTQDXs08pHGn/oCLsXudyZN27FxJu/+yvM2l65brC/H3HxnQG0jod18uiEGrzRDsXoh6ytVucA47LP44bdprN0g6DeOFerZrtJ+ZiBTwqCLkx8bBrOF0Eii4PSk+I8BTdPRTfdUDFGmnRsJF6ZpsrMYSlj56SYyTtEMbbgJifoxsR+zEq2TRClWzqR+t0XUj4gHCcW5PKWcSZpIBo2Albc2hgZt4/0tAOIgYdAKaa90SYKENFF5LN3SkalEJpKwH2FYOkmc9e1n4gC7y3SE0EhC/xN57nHoj4xnJR5xuqIh3XSOTN0IyyTtDdDyHsI8nCXsk0bQb9BtLuEWJrCcIppm4ubGKVTO09z4cPi50sTlIbOc+l6T9uadY+VlpUyIBnsjBbqpBDtOo8yk6Ra6ORrZS+Lw1MVkzwpUgdvZLOo8Ls6kYe51UjqtFNsRnL9iMXVOsrIYsfIwJo6ejtecK87g5MaGgzxNIkULufgWcehz3OynbjhDoo5nATJN8DtrSuUmm9+WW8RynhJbWSZrZ1g54hMuVpZbRjd2JmwSByNtL93Vg9t0tsPT/c1HGIGSLKTtK886jXYW4d7GzmeD1tERgd3dkGkSMuhuKoKLDLZXyXqPP34EfnPEs1ItV8VDvnEwLLc8VNo5CDJOQNOG1KNnCVImtDZvU6guZP3YmSb51HNDw2zaeXLluSEzWJpESkbymFElmaZEQYco6Gbax+o5KI7lwokN87aYyDb1r/odinjkdG1vHzOG3Ofb2JGOPBkUzfEnNU8+Lpy9WQDcej/g+9/psboUUyjpvPBZmy9/I8eXv+Fx4TkT2x19WaqQbm9Rz5N0TC23hGHlhn/f5n9WLSTH3SwIbK80YhzOOtI0pl0bpQO0nBJ2buxIKb+PA9sShl7hZFJ/Qmi4+YmRVpEkGhxLFvQw9GsDarcatBY7I0b5cRFHanzthpOrYnuVT4Qpzu9sjOQ8DdPFck8+dg3Lw3ZLR29G0wRhmZnHfPb8hW5jiX57fUgmYVgehfI8ZqaNna/Mq9+ZbUDCQZtua/UEPciSOA7otlZGwtZObuxU9ShC0ymNXxx57knkEw5ap257+zih0n6jaRXDsE+cPjHtnOKnPsNsisfBmTTMXl6jVFVhvpWHEcsPIjQNLj9v88VfyjE28ejLkntyMJpujORWHheP8pzKNDlx47/jVXDyEx97G8yTRJomdBsPiYLesLneMB3ypVlypXNP5Z4My6U0fulE37G9Kl5hYsj3jZREYU9xd59BJHFANyv02g6NG6Y71Iv9uNFvrxFHO+FsTTeUzvMJuJaFpmdylXs11B+F5jrIOEYYOhyTT/iTRBT26DaXhjS0mqZjuSWKFRXRKE9c3SWHKul3NujWH5zoGjKNaa7fHGkvc/MTIyxix4PAMD0qMy+OpG62aWmfqkjIAUiTiPiROhPdcFT04ATG2StO4xUnn6104T44k4Z59rzJl385x9d+Ncf5KxYfvhvwf/z9Jv/bf18nX9QolEZflCKdGA0xWs6T9UxlmrCb9WXbczsuNN1kbO5VHLdyYuampwqZMugpjtzd1HP5yhzVmRcxH2GUOgmEpp9q82SYLpXJ54b5/uNcZ2z25YxoQX1+m/u519yurN05j2LnEdn/tOzfto9p2We04ecevYftqvHt76rPbv/RH7nW/r9fpjGD3hatzTsjm87S+GXKU8+NRG9OCqEZe+75UfjdLQbd2givu5OrUpl+/pgeuwopTsy+OkLteRBkkoKUxFsN0t7Z8+hAVbH3Wis7QiimQ2nyKppmUhg7P9z0pUlEv72+bzvVYUiTmPrKeyMyppZToDB2nnx57tjrhm7YFMYuUBq7lL1rNd47jcUT39MnBUVg0xsSmGwzlRWrFzCPOda39de94umFOs4Kzl7MCLVh/vD9gBtvD0YIRdIUfvwXfbbWR0MeaRIR9EeZeLziNG5+nG5j8dgKSIchCnuqStZWg0Qz7ExKzzii/UCgGxb5ygJTF97Ack+Xp3u6kGw8eJNCZQHdtFVlqlNk7NxLJHHA6r3vkUTBnlDUXoihHrKmm1huidA/OeWgppu4xUmmL32J1Tt/QRT2DvQCNM3ELU4xufDaMEcqpSToN+g3VxBJiqHZaEIjkTEgMDSb3emJNI1VC0bW8xzFPoZuq75eoanCncRHZN+1zTxB3MPUbBIZAQKJRKChC4Mo9UllgoaOqbsMYsWM9SjiaMDave9RHDuPqRUQQtFCTs5/jjSJ2Fx8iyQOjlGxu/u5W9hehUF384giIElz8zZeaQbdmFLXdopUp5+nvXWX5uZHh7xvgWG5FMcuMjb7ytA4HIa03SVon6E2qX3Q76zRa61QmbqGaeXQDYvi2EXcwiS2Wx5WAg+6W4fLOx4ISeC3qK/dYHLBw7TVOy9WLxCd//xQA/5glalsrSnPMn/tl1UlfUZaE/otOvUHDLpbj/UMPi6kSaToRwcdbG9HXWx87jN0Gg9V5OiQ9UXTTSrT16hMXTtUNe1ZwZk0zDd+dvCA/un39zICxdGAXnN55Jhu2Eyd/7yiw1t9/7Gb4wedTUK/OZQo3BZPH5t9hdryOwcaZ8NymZj/LHPXv4k51ON89tCpP2Rz6W2mL3xhmPOyvSrnrnyVQnWB1bvfp7V5++BWDKFh2jkKlQWK1fOUp64jZcrizT+mvvr+ie9HNxxmr34d3XBYvfPnI6Lm29B0i+L4RS69/BvYubFd4S1Jp/GQ7uZ9xnLnidIQW88RpwFB3KXqLQCCbrBFL6yh6QYVdw7HyBMmAyQp/bBOnIaU3XMEcZ+N7i1M3WUifxlDs9GFgW0U8OM23WCTXlBD10wKjuK/TtKYvFXFMYssNt+mG2whGb1/mca0t+6y8fAtps5/frgpdAtTzF/7BoXqedYfvEl76+6BxlloOpZTJF9ZoDR2gfLUdeLI5+47/4xu/XCVpPrK+5QnruLmxhBZSNTNT3Dxld/k4Qd/QG31vX2va9oFxudeZf76rxzLKD8zkJJ+c4VuY5HK1HUlzZmrMjb7ykgUodtafizPdPn2d8mVzlEadzOmLpuxmZcw7TzLt/6E1gFqaIblUZ15gdkrv/gIz7pk/cGPaJ9Qke2TRtBv0q7fY8L77PCYV5xm7to3WL71p7S27uxrnNVa/wbTF7+Ikx/f8+/PIj4VsyaJB/Ray5m03VQmHiHIlWa58PLfYHLhNXqtFaKgj0Sia4YSrrZcDCtHr7lMffUD/O7B/aHt+n1KrStD0XchlFdw8eXfoDrzAu2tewz6DdIkUmINbolccYZCdQHbq6CbDjJNqa28m5HcTz3mrxaZeIaFblhouo2bn9zDHmS7RbzSNJphksQhaRKSxOExvNu9WL/3fUw7x8TcZ4bVqbrhUBq/TK48RxoF+L1NoqCnBMWFyNpsPCyniGG5O7zhunkq1Zwo6BL0G6ri1HSZWnidytQ1+u1V/O4WUdBDCLCcIl5pBq84ozZEYoejvFN/SH3tA0K/Rd5bwDGL1PsPKTnnsI0cumYSJQOCuEOU+OTtcWwzzyDqECY+pu5gGh6uKGUe746np2j6UsKkjx+1QQj8qEUsQ3JmFUOz6QSbFJ2p4WeCuLfHKO+cL2X59p9gOQUq089jWl429jyq0y9QGr88VNuKwz5pGil2J8PCtHJYTgHddJW3nD33fic6Fpl+HPlsLL6F5RQoTVzJNjYajlfh0qu/xczlr9BtLBJkikO6YePkxsgVZ7A8pWKUxAH11Q8oT17Fck6f9tge71o23nXdxsmNj6STlFdfIFeaJQ77JElIkqge+SfFHdBtrdCuP6A8+VzWU28ytfDasNgoiQb0Wiv4j+GZxmGfpVvfQdNNitULii3QsCiNX8IrThP0anSbS0RBlzRN0HVLaYsXp7FzlSF96DY2Hv6ExtoHhMEZrMbeBb+3RX31BtXpF4bvVUUMzuN+9nfot9fotVeHmta64eLkxsiXZzGdAoZhkyZhpuKVUJ648nR/0GPgU2GYAYJBm6Vb3+HSq7+FYXqZUTCw3RKm5ZGvzO+QfQgxlOASmk6axOibHx16/jj0qa++j+NVqc68gKr61jAsj/LkNQqVhSEBusqPGJnRVIUvMk1Yvv2n1Nc+YO65X8YtTJ5IzML2KkzMv0ahMp+JPlg7ylWZ0dENZ4+KUGXqOvnKgpIg26b4k+mQczpJImor79FYv3FktWYc+Sp0HHSZnP9cpnQkELqJqRlg5TCdgsrHk2bPSGQ0gPsQVJwieJAmEZ3GQzYWf8L5F34dzbBwjCqmnadQvTAM82maoRbxR/Kh3eYy6w9+RHPjNjIO2eh8hKGZ2GaBbrCpjCmKnD5KA1KZ0Ak26EctUqme4XauTyDQhE6c7kQJVHu1pOEvEyU+EkmSKrKOpr9KP2ph6znagzX6YUP1w6eHhzxVv/y/JvRbjM+9OmzbUxsyU1WiukVkmu567qr1SBPG3hakYz93Sad2j3XLQ2gGxbELaswKHcPKkS87uPlxlReUckg3uz02k8jn4Y0/YtCvky+fO5FhdvOTVGdeoDh2IVMfMx8Z74pbeneuXdNNihNXcAuTw2exLTSgiDVi4qBHq3aX9fs/PPa97EYc9em31n5sq+sAACAASURBVOi317NCOKHqLLK53G0u43c2TrXx3YGk21hk6cNvM33pS5Qnn1OqdbqJ5RQxLQ+3MLnz3DPSHc2whuH0bc7ntXs/YP3+m/Q7G2ey6Gs30jikU7/Pyp2/YO7q14eb6e20l2G55Mqzao7LHa57XbdBKMIntZbdpFCZ/7lhPgtI45Dmxm0Wb/4x0xd+ASc3ntHRqb7Xwwq1NE0/RhWfpNtYZu3eD0nThMrU9SGjkWE6Bza0p2nCoLvJ+oMfUVt5j8BvMug3SKLBiQgbdMOhUF1Qg01oQ2N8FEw7v1e1RirqdZkZaL+zSWvr8I3JNoJ+g83FnxL0G1Smn6c0dikT8RDZfR6vTSHoN2hv3iHoN4/+8G4IQRKH1JbfQ6aSqQufxytMqed/CKlAmkQ0N++wtfQWzc2PhrKRYdIjSgRxGpLKhDgNebT9LU7D7PjhiNOAen8REARxd0/eOE4HJFFEnAxIZXysc25j0N1i/cGb+L0a1enrFKrnh1ELlVs8uhBRSknQq9Fcv3XsvtgkDmiu3yJNY6KgS2niCobpZBsyA03f28+eJhG91hrrD96ktvIuiExMYbdixxEwLI98eW7omQ4Lnw4Z80JomJaHuaeHVQ4NdBz0s0LR4+l/74GU+N0N2rW7mRyqGLmndv3+ybXC90GaRLRr91U/dGeT8vR1vMLUcCP8aGRsN5Ikot9eo7byLvXVDxj0ao+5UfikIAkHbTYf/gTShMkLb2DZxaEi32HreOi32Fp5l62ltxn0G1lh6LOLT41hBkkc9thafJtw0KFYPY9XnMH2KpiWp3bxmjZUyUmSkCjoEgUdOvUHRMHRGrBJPKBdu0cc+fRaKxQq89i5cWynsHN+mZLGIVHYJ/Cb9NtrdOr3aW3eya6hCo+ioHsiwyyEUrU6bEKe4GSqlljokBUFHVcnFCD0mzTWbjLobtHeuqvIV/LjigDDdNWGZXvnniaZ/JxPFHYJ+k0G/XpWILN24nC2EKpwLBy02Vz6KeGgTXHsPF7pHI5XxbS22b0kSRwShT38zia91jLt2j26zeU9Ws4SSZg8fiVwKhP86GCdXlD9mqe91qBXIw59/M46ufLskPTG9soYpqs8S01Xm640zlie+ln4v8mgV2fQ3aTXXjsRyUQUdmlt3CYadOg2FsmV5/AKE5h2Hs2wEQjSJBvz/Qbd1jKd+gPaW3eJwz5CaIr+M02OTZUohDYMvT8+tiM32x79450z6Ddp1x4wPveZkYrhwG/Ta648MQ75NAnpNB4SDjp0WyvkK3N4hUmc3BiG5alokNCQSazIcoIOg14Nv7NBt7GoiqayNedZgUwT/F6N9Qc/YtBvkK/M4xUms7XFy8RVhIr2xQPCQYd+e5VuY4nW1h0GvbqKdmUSr/oTGT+fPM6kYbZdweyCycSMQW095t7tkIVLJg/vRCT7pIqEgGJZ4+XXHb7/nR615XfoNpZ2XqjlDUNhUqYZl3VIFPSIgi6DXo1o10IlBHh5wWfecHnr+z5+X7Jw2USmsLEa0Kk/wO9s0C7dw8mNY9l5NMNifMqiOq7RaPus3G8T+E38zsYe49Op3UOgSEuioDdSuGaY8JkvuNy7FVLb2PmxUdBla/lndB8pcnsSaG/dJT5hBWkSD+g2l+i117Dd0i4D4e0KqUlkmpLsMsxhX0UM4qh/qtDa9oINkiTyqa++R6+5hFucwvGqw3eNVAL1cdjH72wO+3KfpUVqP8RRn079Ab3WKrariF4ct4xuuSrcqRlKEEEmpLHS493ZEDX2bEqOf12fdu0+/fYabmEKtzCBaeXRTQtQC2Uc9hn0G/id9SwSop61lClbS2/Tay4jNJ1w0KbfPrx/PPRb1Fbfx+892SriNPMmH2ccpEmoiDoif8QwdxsPn7h3KtOEQW+LwG/Qqd3DLUxg58aGWvACQZoqw7y9lg16tVNReO5Gr73K6p2/GEk/DXpbn4wAhkwJ/CYbD39Cp/5AbfrdiqpRyep70iQiiQLCoE2/vc6gVxspPO21Vli5/V003UTKdBh9eBRBv87qve8PI33KJuzvpCXxgNryO2q9zkLnfvuQuqTafWSaDL38Tv3BscV6zqRhnr9g8tLrDpPTBq1GwsrDiC//So61pRZ+f++E0jSoTuj8+t8u8uaf+SSJJOjXCfqnY3XSNCiWdb71O0U+fC/A7ycUyxppArUNAEkc9Wlv3R2pdMxbNsV5m/ogYu3ewQtgt7lEt7m0779ZtuDrv57H77VHDHM4aLN27wen+j0fJ1S/be1UhVynQub57EbgNwn8E4bEn3GkSYjf3XwiYdPjQwmadOr36dTvn+ibGw9/fKLPD/o1Bg8/oTF1QgjNUIZxV/2CTBOamx8RDvZGTAQCW3iUjAka8RqhPLnWtEyTXeP8GGpVj4luY/GJidScHvLUY7zfXuVhe/XIz/ndTRZv/tGxzplEA9bu/5CSPo5E0ktaJBwsCNJcv0lz/eax73k3zqRhvvy8jWUJfvamz8uvuxim4OqLFoZ5vLxQdVxHN6HTTHE9jVxBI44lmgb9bkqznjIxrWO7GroO7WZKp5lg2YLqhIFuQKmiD1NHpYpGt53S70rC8PDrW7ZgbFJn4bJJHEm21hPiSDIzb6DrAt2ARi0lDFK8vIbnZYVEGmytj4YD8kUN1xMMfEkUSiamDYQA3RBsrMT0+ymlik6+oKHpEAaSxlZCFEqqkzqVqs7ackyvk54VmdEng2NE3TU0dAxi4uFXdAwSkl3i5ts5T9VjbGAQEY1USG+TiKg+5KEPOLwJgUDPROi3r/Wse+U/x+Gw7AL58txIHjMctOk1Fvf1tjR0SsYkL3lf5a3eHxHFGwdW4X9S2CbISXlySneGsHC1Ar2kiUDD1lxiGRHKsy2acZJnoaGxYL9ALCMeBO/RTz8epa4zaZijMMXvQxIrQ1coacTR8SKfXl7jq3/Nw7Q0fvhnfV5+zeHFzzmsL0cYpuDWuwFv/rnPt/5WgfKYjutp3PhZwE/+ss/kjME3fzNPGEjieIcZ8PnPOPza7xS4/X7Av/qnHeqbB7/A8SmDKy/YvPqGg9+X/OHvdVi8G/HX/04R1xNUxg1+8Kd91pcirr9ic+majd9XRvpP/mWX9386AAm2q/HK6w5zF00+uhGytRbzG/9WEdMSjE/p/N4/bPP+WwO+8ise116xQcLacsyf/UGPrfWYL/5Sjr/+bxb43//HBm//0Mfv/dUxFho6rsiRE0W6spVNPPBEkZ5skxAjpCAhRhc6sYxxhIsnSrTTGgE+KRkBCBYCjYQYU1jEMiIlQaImqUDgiBy6MOikDQSCiJMSS/wczxKc/DjF8Ysjxxrrt7Lc8tmfZzoGtuZhCIN28nhc8dvQ0Cnp41xzv8Dbve9gCpt5+zqNeJ3l8MOjT/CUoKHjaB6GsGknx0ubhDIglgHpx7i5OpOGud1Mee5Fm1ffcJk6Z+DmKjz4KCJJDh70EtB0+NZv5zFNwR//v13WlmO+9EsenVbK7/+jDo2tBNOE6686FEo6//c/aBHHkm/+ZoFf+vU8tc2Y+x9F/P7/1eblzzucm1cMMj/4kz6T0wZxfPSk6/ck773V463v+XzmCy6/8jcK/P2/V+N/+W/UBHjldYfL1y1m5k1AcOdGyO/9wxZXXrD4W79b4vYHAWkqef3LLt1Oygc/HfD2Dwcg4H/+r2oYhuALv+hy9QWbpbsR5xZM7t+K+MPf69Dv7njG/+Ift7n0nEXgn9GFImPSUsQvT/YeHZGjok2hoZPXKjh4tGUNgY4vuxi4uHpeFYkQ0JUt8loZgU5Fn6KWrBLQxxV58qJETIREMqHN0ZF1YhnRTmt4okCAT0yEjoGJSUGrsJHun6Z4FJqm/iTJ0+9kEQKMXatBHD/9ezoKQqjnh4TkE3JAhWbgFibJVxaA7bYkqK++pxjongE4Wo4p8wJC6E/MMG9jJxIghy1bZxm25jFlXsQQ1rEMc0rCh/7Hn1I8k4b57R/6rDyMuHTNolTReXgv4vZ7wQg956MwTcHFqxbTswb/039Ro1lXXm0cS9qNhGZN/V03BLPnDa69bPHv/sdVwlAS+JK15RjD0KhtJESRZH0pPtXC1Gkl9Dopfk9JV45N6ZTHNP7t/6BCFErKFZ1eN+XBRyHddoLflySJZNCXOK5qC5ieM5ieM/nn/2eb+x9F6AZcvm7xa79TYNBXIe3NtRgEfPv3u3zxlz3+w/90jBvvBPzx73X2zcOfBCIjLpFSIuMQ3XJ3SEkkGJZqS0riEKEZWE4BTTcz3mmJphnDkK+mKTERmSbopkMc9lXRiqbhFiYJ+g2Cx1R42gs5DDEPZI+ebCu6TCHQMbGFg0AQE+OJApEIcSkwQCmFbXvCESEpKQVRJiUlkRGdtElJq2ILV3nK2RQysZEiwRF5jtOK49jwu383z69+0+E/+89bvP/B0xOvNwz4+tcc/uv/soznqRD9f/SfNPjz7wX0znCk5Uu/YPPbv+mysZHy9/7bT4Y8I1+eozR+eVe/cEqvqZi+ngT17ycBS7jk9Sq99PAOgpMgJaEer/Hj7h8QyRAB3PR/8NRD9kfBEg5FfYx++mQq6Z8UzpRh/u1/p8TcBVXebphg2yp3+uJnHX7xV3P8g/+uTq+7/0KRxLDyMOIf/68tvvLNHK1Gwp2bIVJCmsqhkU0S2FhNWHkY86/+aYfNtZgklhRKOtdetilVNHRdUBnXT0WAkStouDkN29Xw8oJgkPLSaw6DXsq3/0WXay/bTM+q35imDKvMpdxph2zWEr7/Jz6FouC1L7ncfGfAhasW68sx3/2DHl/71Ry5ggrPPrwbUt9KuHzd4vwVk8/8gsv3v/N4rT+2V6Y4dhHddEiTCMsp0m+tEEcDNN1URCRCoGkmaRIiNH1E4CNXmUPXLaKoj+UUsb0yg24NmSaEQZvK9AtsLf6UbQP6pDGQPdaSB2hoJCQIoKIpmciUmEa6AUhM4SClpCfbBMltRUgBJMRIJJEc0JDrtNlCIrMQeZ5u2qIvO/RlZ5ivVjmqlH5yvHCmEALXFZRLGk9b5TCO4c0fBfzuv1/jykWDv/8/VLGsg2VThYBcThDHkiB4ep61ZUIxr31imwfDylGZukZp/NKOGEoSsnrv+0fwju8PTysyY10ip5VYCj6knqhKdQOLSXOBijmNKwoIBIHs00jWWQ3vEMvRDcBF+xUEgma8QV6vMG7OYQqbUPrc9n9CL20hSZk0zzNlXqSgV3BEjirTTBoLw/Pc8L9HMzm4yvgg5LQS5+2XCOWAu4O3IZsVkpR5+3lyWpGl8NaIR6qhMWleYMw8h6cVEWhEMqAZb7AU3iSSO+mga84X6KdtemmLkj5O1ZhBFyb9tM1t/8cEcqfbwhIOY8YsE+YCjpYjkRHNeIPF8AahDIafGzfmmLYuU9AruFqBikwYN+aG1/xw8Cb1eIdWtaBXueq8ji1Uj3wzWeN+8D7+x2TQz5Rhfv+nAxbvhVx53iZf1Hj39oB+L6U6oXP5up1Zrv0noZSSgS95/6cDcnmNz3/FI9mnsj+OJLc/CHj5NYfPfMEhSWB9JeLuzZCt9ZgvfSPH3/rdkirvERLH0/jKN21e/YKDlCrn/d5PBnx0Y//dsWEKXnnd4dJzFkLAn/1hj147Zf6SxRd/OYfjCHRjW7h8/+cQhXDvVoAArr5o8/LrLoN+ytUXbOJYFaalqcpDf+WbeWbPG3h5jXAgqW8OqE7ofOWbOS5ft5BIKhM677zps7l2zEIPmYXosj+B3ySJAlXsomlDBibT8kiTCL+zge1Vh45iEg2wvbLS77Xcoen1StNYYRHTzmHaeSynTBKdvEL1KKSkpI/keZvpBho6MSFxVkkZy5gwyyeH+xR+SCQx0fDzAIlMlPdMzH5jMeFZIHLYi3ZH8sEHEckxQtjFguB3/26On7wd8dbbIf5ZTZc8QdhumYn5zzJ27iWMjMAkiUO6jaVMqvFk793VCpyzrlDUx6jFK3R3ea8SiasXiWVILVlBIMjpJWbMy2hoPAhGueUdLUdeK2NrOSSSeryGQOBqOSIZDDePvaTFOvcIZZ8JY4Fe0mQj3uFL99PTtVhpwsDTiuhyrzlxhKf+TYz+2wX7ZcbNOQZpj3q8RipjDGEhSTMxmR14eoGcXqSQVkmIqcWraEIVa/7/7L15kCT3def3yTvr7Oquvs+5ZzAHBjdBgAAJkiAJSqRWMmVJ9ipWWsmxtmLDjrXXsetwOHYdsevQH94N78oOSw5ZihUpiRIpkjpIiQRA3ACBGWIwmBnM1ffdXdV1V+X9+/mPrOmenu6eCwNgSOuLCMxMVVbmr7Iy8733fe99X+yktMeiYjJg7iOvD+ILh2Iwh65Y5I0hDMVi0ntnvSK+JWqsBtN4okm/uTs+N8H0+jFb0WYGxhENZrxzWEqS3fYxbDW9zpZ9ELirDPPkRQ9VVejo1Gg1VE684uD7gnyvzqF77R1jKyHiiuZvf7WG71i8+5ZkYCSgWdM5c0KgqKBpZqwrqxp4LYMfv2qRSLsYukalFFIqRNTKEik8FFXFbUUU5vO06k1WFiQvfLeFlIJKKaJa3t7ALc2FvPZsk2RaRVXBdSSTFz0UReH7367jtiRhKAkDSbMukDKm2qMIiish3/lajVol4gffqTM7GeB7kno1jkTrNYHvyziPHEEQSEqFENOERi1eT6MmmJuKpxlNXYpz162moFSIboneDtwa9eJkHAlLgZQRIgzRnbg3VQrRjpj1OLJ063Ef9FVP9Ct62SIK4rGcQYvAbyKjCKdRxHdqsUTih5SX89nqAAiiW65K/Wku7IrV4G68XTqt8qUvJlhYitA/wtHJdzqDaSW7SGb7NibGSYlm2Jh2llS2n0zXLqxUZ3tik8B3KixPvXFLPcNSSmw1xaC5j7SWoxQuseJPb6pcFoQUgzkEEYHwQIGc6GXIPEi3PrzFMAPYaszkrPhTOCJmckw10TZE8VlqiRquaKCgkNP6aIgKy/5Gu2d0Byu0d4KCQlrtpN/cQy1aY8WfoiHKCCnQlbjuZrt7MqFmqUcVCsEMroifGbpibnKEO/QeuvQBfOEy71/EFU10xSIiYMjcTyGcpRyuIghxRANPxM/0vD5IU1RZ9qe4cq6uXUMofdbCBXTFZEjs+8Ap+rvKMAc+QJxzzeVV9h028V1JV4+GZSs7UstSQr0qeOtlh47MCE4jYPJ8O/9TiynfhA2mkUTXE7hehfkJnZbTwLIS+L6P5wtUVcM9lSCR6CLwmxTns7QaJbyWwdSl+paZz9eivBZRXtvu4pa8/vz16eVaRfDmS/E2p9/aMCJXR+YrC1u98lplu8hdcubk7UeiUehtGlmntAtsthvPGGtDs0lnO/RbhIETqz1dlXfznc1e6K2Oe7zbkEoq7N+nc3C/Qb5LRdOhWhWcvxhy6rRPeNXPNTKscfyYydhIzHYsrUTb0sX33Wvw5OMWhqHQbEm+/5zDzGx0W+1ulgUjQzrHjhj09WnYlkKzJbh0OeSdMz7V6q2ZtdERjU89YbF7TOfAPoOffSbBwf0GnieZnA45+bbP3Hx8/XfnVX75F5NYZvwFX37V472LwSbaua9X5aknbc6+FzA0qLFrVEc3oFgUnD7jMz4RErZvJ8OAh+43OXyPQSqpsFoQZNIq2lUt7aoKuQ6Vhx4wGR7SYro9gPnFkDPnAqZnrm94Eqk8PcP3YyVz7bnAEk2z2uxOZl0xLB4bWqU4f5rK6qVbOoe6YtCp7yGtdlIJC6wE07hys3MqkVSjwtUvUKdMS1Tp1LefNRwR0ojKlKMN4RbvGoU52XZFhYxbBjeYnw8PKhqdej+mkqAQzFIKl9bX4F3ncoxkQD1a20y1X3PecnovumJQjObXt1Okw4ov2WUdI6PlqUdlfBmun4sraSsho+v2JK8fUoqr2i0/ONxVhvkKFmcCOjo19h4yCQMwLHj7dYfgBj3EiqJg27k4b6moBEETVdWJhE8U+aRT/SiKiutV0HU7ngJl5RBC4Pl1DN0mkxogneqn5RTR9XgaUirZG+vs3sAw/yRCUWN6PopHEUM7J48EVYtfMEyVji6NylpE4McRu5SQSMf59EoxvrE0XUFEEinrxLMkJKoGqhoboBv9fj9psG2Fo4cNHn0k7rvXNdB1hSc/Ifntf1djeiYkDKGnW+XpT9t85lM2igL1hmBPXWegV8M0N1vmbEZl9y6dkWGdo4cNJiYD5hduzzCbhsLuXTpPfdLGthQ0LS6SfPxRyR9+DU6c9GltQ0Pv9CslkwqjIzq7d+mk0wr9fbGTEQQS15MkExvfxTQVxkbi7b70TAI/kMzOh5sM80C/xj/5x2lOvRsghCSTVrFshXRKYXRE4y/+0mFyKmaFDh0w+Ce/mSZhq7QcQbUqSNgqA/0aC0tXBpfEhvnTn7TIdajouoJuwKOYDA/5/Nk3W5TKO59IzbBJZnpJ5YZ23EaKCLdVprR4lpXZk7c8c7nbGCavD1GP1iiHyzvSx7aaJqGkMRQLVdGw1RQJNYOKynbFhb5w8OT7l5W9s9gaScW0fI5IBrRE/aYdA1c0b9gPbSspDMUirXUyaO5fX4GGsU7ta4p2txeKA3epYZ646BMEcOCoRRRKLp3zaNbFjR/sEny/gWlmCINmPPZNBHh+jTB0YyMd+rheBU2zUIirheOWndiYCxnRbK3iBQ0MESKFWJ8addvC93cpFAW6enVSaZVGXZDpiEVVmnWB7wqEhGRKxWkJ9hyxuXTaBanSbAichqCjS2d4r8nsJQ/fk/QNG7iOiI2wJ/FciaaBnVQJfMnyrP9TJXTiuHGkuFoQTEyFSAEPPmDy2/9rjhdfdlktRNRqkvuPmzz1pE2jKfmDP2pQXIt44D6T/+VfdOBdQ3i8/JrHaz/y+MRjFr/3H7ve1/r8QLKwFPHDl1zOXwio1SX79+r823+d47FHLaZnQmZmt0aRO6WMLl0O+Xf/oca+vQZf/HyCr329xfefc6i3BWyuTrMuLkX8j/9zBduGxx/decBGMqnw9Kct/v3v1HntRx66rvDr/zDFww9azMxFTE6F5DpUfu5nE9x3r8m/+e0qp94N6OtV+Uf/RYrBAQ1OxfsSAio1wal3Ay6PhxQKEd3dGr/+qymeeMzi1GmfH721c+W0iELCwCUKPRRVXx8QEqdyAsLAwXPKVFYuUpg/fVvKgh1aD0KGaOgx/RyVtxinpNpBn7GLVDs3q6KhKya2mt6RQhVECPnBU9G3gri34ZrJZiioaDFVfAtVgzfz/RRFxVQS5PUBslp+03v1qIQn3PX2trsdd6Vh7h3QOfpg3O87NxmwuhjyzC9m+N6f16/bMiURlKtXDwPfbEjLlY33/ErsqTruhuyf51VZ9ba2EFy9zU88FNCTJlZXAtH02HfMwDQVqqWQfUcTSAGFpYBKMaS4HLDvaII3n6uj6QqqBiN7bVbmfOYbPqoGnd066YzG2mrAx5/OUlkLqZcjPE/iOwIrqZLKaKzO+5QLIU7z1ixzFHm4zRKaHrdohaG7hRL/qOA4ktNnAjJpBdtW0DWF+YWQlULE2IjepnEl991rYBjw/Pdc3jwRG4aVVZcvPB1TwdeiPZnzfcPzYGIyoFiMSCQUkkmFxaWI5ZWIfKdKNqPCLeQVhQDXA8+PybwwiJ0v7zpB440cMd+XTEyFfONbLRrtaPr1Nz16uuNoGKAjG1PeL7zk8fyLHuWKYGISdo/pDA1tPMKEgEpF8OzzLqmkgmEq1OuCxaWI7rzKQN/1E+KeU6FaGCcM3XgYih5HWlHgrQ/nqBbGadWW2878rWPBv4QvXIasA/QZY/iyRSVc3USPjpgHyRtDrPhTrIazOFEDS00xYh6i29g5mr81yDvYDxET4xvRfAxdMbcUfcXdDk77PYM7GeyE0qMpKqwEMxSDrVoCkfTbldlb1/9BdIe8H9yVhvnehxOk0ipvvtTi8H02hqlw/BGbZ7/TuK5h3oq7xDtSQLMNRBAhQ4GiqyiagowkMvxwQ0jN0ul/fBdH/+ljTPzJKVZOX+LowwmynRqaDotTPp4j6ezRCQNJd79B77BBT7/BSldAV49OrRSiKCDCuAdcUWF4r0WrEVFYjI26nVTJ98fDJFbmfcqFAMNUcG6x1qu+Nk19bfoDORfvF+mUwiefsHjm6QT3HDLozKkYBnR1aSSSG/njrk6VMIKVqxTjogimpkP27v7gbkHbhuPHTH7hy0nuu9egp0dDVaEnr1GpROvKdtfiw7xrfF9y/uLm4TSuG6/AaktRmyb096l88zsBwVUiP8WSYK20cf+oapw2+Ie/nOLRR0yGh3QStkImozI9E2LcYCJpq7ZE6yb0ld8PmqJKJVxFUzSGrUMMGQdwoyaO3KC0c3ovzahCIZynHpVRAEMxSW4zYvN2INr/XaF4N7jA2/vlhRQE0l+niuOZ6DFlbaupTdtKBJWwwKB5gJzegysaV1Hwyvo2t4NGVCGldqKi4orGVftRdpTcvJJr1xQjZlDXpXc/WttxVxrmMJBUyzsVUv2EQQEzl+Sx//1nmPrOOZZenmTgk3vIHeyhcHKOxRcmb7yPDwhCSObGPeYnnHXF6P5hg2ynztyER2ExYPysSxRK/uo/lRCRZOI9ByniqG5lPqCwFDMM8VhaZb1nXAGU9oNftlmrnyYaG+CXv5LkS19Mcv5iwD/7l2VmZiO6OlX+8Hfz26rUXcuiBaG8FTbvlvHEYza/+Y9ShBH8q39b49J4gOdJ/u//o4vm+xShuVMQMmYebuZBeO25EpFEXHWe810q/+Zf5Ti43+B3frfOmyc8KhXBf/nLMZV9N2E5mMFQbAbMvYxZR7nknlg3HK5oktQ66NC7kQhsNUWvMUaH3htXab9PhNIjEB7dxhClcAhXOOhtSdlre6RvBoH0qEcleo1RRq3DlMNlDMWm39jdLrjaoPwFEcVwnlpUZNQ6jKUmWQuXCGWArSTRAI+xNgAAIABJREFUFJ3VYJbgNgZ9FIJZslo3/cZudMVgLVxCyghLSdFlDDDjnV2vWF8/F8LHEw7d+iA9+hCudNDQaIjKpl5qiEn4Kzl/VeroirFBy99h3JWGuVGLOPaQzcFjFsO7DH7pN3PMT8dCID+JUBTQEwaqEff/qrqKZmko2rX5lw8ZV8RXoo0XlucCVhdi+VMh2oVgxM4SwNXOrJRc0yt+ze/zU+BXXQ9HDhtUa4LnXnA5fz4gjKCzQ6W/L26Xu4JSWbBrLK5CvgJNpV2F/MFRaCPDGh05la/+SZNTpz18H3QN8nmVZmtnL+lGK7qioqqp7ChCciu4kXPiB7CyKti3V98kxtLVqdHZqTK3EF9oiYTCE49ZfO3rTV7/kcfySiwuk0wodGTvLqpSErESTKMpBr3GGKPWEaa9dwGY8s4wZh1hxDjEqHkYVzSphCtMR2cYMg+872M3oioL/iXGrKMcSDyCROKJFpfcE5uM6M0ikC7LwSS2mqRXH2PA2IsvHQrBHKH00ZXNVIUg4oLzI4bM/eS0PrrtkfZ+PMrh7acJPOky452lxxglrw/RZ+wClDbFXWU7968lasz7FzGsY+xPPIxE4guHy+7bVNuV3Qk1w6CxjwFzT3s4RxKJ5N7UUwgZOxoL3mXq4s6lPO9Kw/zeOx7VimDXPpPlhYDZyVgA5ArF9RMFCX7N5e3/7XlaKw2ChsfSK1MU317Ar915cY33i3UD/Pe4IVxXkkkr9PaoZLMqw0MaX/kHSRL25ozVu2cD7j1m8tlP2czMRhTXIu49avLwgyZCbFO5qsQDVGIt6Ns3KEEg0VQYGtRJpVT6ehR+/stJhgY05rdpvYsnl8V/19TtDbSU4HmSlULEY4+anLsQsFqICAJoNOLq7KtxRX/7SmX+7aBaFbz4isvPfznJ62/4vHPGpzuv8onHLEaGdd49G7e5SAHNpmB0RCeTVogilccftXj843H72UeFiIhyuMSp5rPUo9I6xepJh0X/MqVwcVN01ojKTLrvYLSlYwVhXLiEoBxunSU9672Hqmjr/b03Xk9AJVzBky10YqMpiHCi22tflEhc0WDaO4ulTKAqGpGM8EQzji7b0rhXoyXqzHkXWFFn2nloBSEjAuluaVsad96OjyFv9P0kLVFnyZ+gFC6hKXp8/mREIH08EUvubj4XIdWwwCV5YtO5uFqu1BcOy8Ek5Whl26P6wsG9TXGWnXBXGubhXQbHH0nQmdcwTIVUWmNwxOCvv17D/YgpOEVXSQ5k6XlgiPRIDiNtEHkRXsWhNr5G6b0VvLWr2hba0XJyIEv/J3ZjZiwiL6I+U2Lt9BJeaXMLgJE22fcr95Ho3T6fFLkhZ37nNYR/58PR7L48fY+OoqgqK2/OUr240Uup2To9Dw2TO9iD1ZlEhILWYo21M0tULqxuut57PzZCZncX9ckSIojovn8IK59EeCHNxRpLr0zhFpvINg0ZH3cMGUaMf/30pjVZ+SQjnztA5IWsvDlLa6Fd+NU+r72PjtGxpwszZ8e91g2fxkKV8nsr1Cc3vP/BT+4hf98g889epvzexg2mGhqZXZ3s+coxFp4fZ+3MEpFzcy0cz7/okU6p/NzPJnnicYtmU9JoSt540yO4ahc/PuUzPKTxmU/Z/LN/mqFWExTXBC+85PLIQxsU65F7dJ560ubQQYPBAY1MRuW3/qs0X/6ZBKurEV/7eouJqZvvO333bMCbJ3wee9Rk754OPBcKaxGnzwRUKhtRyZ7dOp/7tM3RIwbd+XgU6m/8WpovPG0ztxDx3b9zOHV642FZrQn+4I8afPpJm3/+32WpNwRvnfR54WWXmdmIvl6Vzzxl8+hDFnYizrH//JcS3HvUYHkl4ocvujz/4s1TspWq4Dt/7bB3t8EvfSXJl3/GplgUNJuCy+NXrasu+MOvNnn6Mwn+xf+QpdWUlKuChcWPVggFJL50KYXX5q8lnmxt6TfeMAxbC1Gv3Ra4Lc3rkOC2ouOdIJE4oo5D/do3dvyEK5u40Y2dibq4+XVKxLbn9HqIbnAuIkKaonpT51lDJ63mqIqbm1S1E+5Kw9zTr5POqsxOBgRB+wFyhypV3y8yuzoZeXo/HQd68asOUkr0pEVquAPN1Gku1jYMswJ2V5KxLx2m9+ERgqZH5EVYpkZmdyeZXV0sPD9O6eyGKICUcVGVuKYozM4nyd87gFd2UN5HFLXj99rdxegzh8juyVM6u0zU2sg1qabG2JcO0/exUVAgcgIUTSUzlqNjf575Zy+z+tbGUPXs7i4GPrkX//ggXqmFkY3HUup9abofHCbRm2biG+/iFuKbMtGTpu9jI0TeVsNspEx6HhombAZULhbWDbOeMBj7mXvo/fgYUctHBBGoKnZvGqsrQVB1Nxnmjv3dDD21l9K55U2GWdFVEn1pRr5wkNpEifKF1XXDnBzqQE9bNOfKRK2t4gNv/djDdSUH9uvYtkKpIpku6Fwwh5l/9dJ6lXGhKPjBcy4rq4KRIY0ogunZkPmFkLffCVhsS6UqPZ3U0wkmFxtMTHm88npsvISQVKsS5yrGyO5NY/VkaE6vETa3zwtengj5xrdbTMzY5HpMagWX02cCEnYs07jUPq7rShaXI5I5k0pXHyvTPaycv4yz6rFWDNe/xxU0mpJvftthaUnQnVeJBMzMbvQo+75ktRAxPhmg6QrnL8YPaymg2RKU207B0nLEH/xRk8mpkPCq03vpcsg3v92i2C7s8n04fyHgd3+/wT2H4oKulVXB3HxIKqUQtD/bbEq+9VcOq0VBT7dKGMLEVEijITANhULxpzy38vf40KFhxL3RbVhKgi61/6fTMKPEhR1OS+C58c15Rbr5o15Xbn83vR8boza5xux3zxM0ffSkSXIgQ9DwCRobkYCRMsnfN8iuLx+mdHaFpVcmcVYbGBmL3odH6DzcB0BzoYpXjiPnyAmY/d6FOB/dhtWVpP+xMTKjORZemNhitG8LV53L1HAHo88cpGN/N6UzS8w/d5nGXOwdqoZG5z297P4HR2gu1Fh+bZrGbBnV0skfG6DnwWHGvnSY2mQJt7jh/ZoZEytn4xabzD83jld2SPSk2PXlIwx/7gCrb83iV93bjvyNjMXuXziKu9Zi7u+maC5WUTUVK59ENTScwvunlhRNRTW09YEF16Jalbzy+oYBVXSV1EiO1qdHOHvyPNFV7M7sfMTs/FaBhHPnNyLg6XnBXMGjMdPY5BhtuzY1XhvXcdJaLcnpcyEXlgTpXSnWTm6fA1tcivir7zpoL4TkH+xk7D/v5dKfXKQ+3tz294kimF+I+LO/2D4qKVckz/3Q47kfXj8qXlkV/Ok3tu5jYircwgz4QdxGdc7vxy818ZarCG+zsxRF8Xf58x3WdctQFTo/thdnroS3WkW2z4XVl8XsydCaKhI1bzLyVxVyD+7CW67irdQQ/k+mpvoVJPf2otkGzuwaYf3uS8l9WOjUerCV1Lq+t6nYZNTO973fu9Iwq0o8qGH3AQX/iqiIhLffcPgopYoVRUFrF3G1lmrUJkvrBnU72N0pBp7YjaIqXPrjt6lNrK23R7WW6+xLGnQd7Sd3qIeVN2IxeSkkzsoGHaQldLJ782T35ilfLDD1rTN3qMVKIiNBojfN2BcPkT8+SOHkHHPfv0RjtrLp+COfP4iZtXnv/3mT1bfmiJz4gdiYraCoMPL5g3TfN8jCD8eR7WIxRVepT5eZf36ctXcW2/sy0G2Do//t46RHclTH1/Bv0zCrmorVmaRyqUBjpkxtqnR9I3+LJIORS6DZBmErWHeEFE0hvbsbRVVQDBV3tYFfbqGnLeyeNIoer+kKEgNZ9JSFoqsEVQdvrYmiqSQGO1B1FUVVcJZqBHUXI5tANXVCJ0CGEYquYuYSWPkUUko0U8ctNvBLLVRLR0+bRC0fGez8nRVdxe5Jkzs6SO7oIH7Fwa+08Mst7L4setpC1VTCpoezXCNqBaz9eJbeJ/etpxkAzM4EZmcS1dARQYi7UkezDcyu+Luqhoa31sRba37g7X+9nz9G7cw8pYa7xTDfaSiaysAvPEjhB2cJa7HELIDRkSQ5ksdbqt60YVY0lf6fuY/SG+MENfcDMcyKrqIlTFAVwuoHq1KYe2AMI5+m8P2zH55hVlUU3QApkcHdMWIzrXRiK0labQpfx4iH/LxP3JWGudUUTF7ymbq4ueAruJ6Y6oeA2Gg28CoOPQ+P4JUd1t5ZxK+5eFeiv6uWaGQsOvZ105ivUp8qbXpoNWbK1CZL5I8PkjvYu26Yr4aiKXTszdP/2BiaqXHpj87gFu+c7J5qaox8/gCjXzzE3A8uM/u3F2nOb86jaKZG/r4B3GKT+nRp3SgDOCt1yu+tMPblw+SPD7Dw4kTc/9JGfbpMfWqDTpahoDFXQUYCM5uII77bROgErJ1ZovNQL0Of3odxYo7WUg2/6hK0gk3ruB0kBzoY/PwhRCCY+eYp3JU6iqHR8/geVFPD6k5TPjVH6Z0F0rvydH9sjLDlo7arpjRbp/cTezFzCVRLx1mqsfbjWRRNZfQXjhPWPRRNYfnFy4QTAcnhHINfuAe/7DD3l+8i3IDOe4fofXIvrfkqVj5F7fIqxTem0BImA585iJFLMvnVt3AWt899abZBaqyL/EMj2H1Zeh7bQ/X8EpWmT+7oAKnRLoysjVtosPrSZZqz5S37UA2N3NFBOu7pQ9FUIi+icmYRLWHQ+4k9eIUmesaifnmVtROzOMt3h/jLHcM2l1Hj0jKNS8tb3/iIYXQkSe7pASmpnJz+4A/4IT+OFd1A78ih6jpBaQ3hfTAOwRUmSobRJgd1O1TEKqH0acj4HrSUBL2MXvczN4O70jCrqsLgqMHAsIGqgWEqBL5kbson3GEe84eFtdOLqKbGnq/cy8Fff5iwFbD65iwLP7xMdXyNoOGvGwXV1DCyFtWJtS0XsQjEem7Q6kxseyy7O8Xgp/aSHu1k5m/eo3Tmzj0MNEun80gfPQ+NEDZ9Vt6cobW8zZAKVcXuTlE6u4IINkdDMpIErQDhC+zuVDzQ4qr3w6ZPsCn/KRFRO/rU1R0p4puBX3M5+3++xj2/8QjDT+9n+HP7qVwosPTyJIW3F3CLLWR0+9Fb9fwyZleS5FBu/TXhRcx+8xRSQu5IP6mxLnJHBtATBvXxAssvXKbr+BDJkRyZvd2YnUlWX5nArzn0PLqbzuND1McLaAmTqT8+SVB1CJ3YiaicWcTuSWNkN18LIhBM/fEJzM4EQ88cITGQpfT2PIUfWXQeH7522ZsQNjyq7y2jqArZ/b1M/tGb6++tvjwOaky9Zw/0ktnXs61hTgxmsfsz1CfXKL8zT/ZgH/2fOUDhtSmEHzH7ndOoukr/UwfI7O/5cA2zqqBasXRm5AYgJaoVK6kpqoKixzPVhRci3NihVHQVzTZBiy9W4Ydx9Cpk3Mpoauv7QFU2K0JpKqqpo5oaCBkzFrd7jakKmmXENRtX1m7q8bHbhxR+iPDaa1MVVFNvKwerKHoclUUtHxkKVFMjMZIne2wEr1BDb19HYd0FKeO0jKWjGBoyEkSOD22jo1r6+j6laOcM1XhyjXACZCRQNBUtGUfjMhLxub0CRWmvXd9Yu7dxXlVLj9mWKEI1dFAUpB+uf++bhQxDFE3HGhxGz3TQvPTe7Z3760GB5HAHesrCWapuLuTdBhVR2PRvX3qsRDPvexl3pWGevOgzM+5TWAkZGDF4+BMJTr7m4N0Fc1+Dhs/iixMUTs6TPz4QG4XP7Gfkc/u5/CfvMPu3F3BWNuc3d7Q/Ow/MQtVVRj9/kPzxQVbemGHu+7c2xeZG0JMmvY+MsvzqFP2P72b3lw4T1Dyql7cvWogFRLZ5nZ2/nwjF+6Y2FVXZ1oDLSNKYqXDiXz9L56FeBj+1h/7Hd3Hvf/8khZNzXPxPb8fV4jfav8LNFdMpClZXkn2/8XEiJ0DvsAmqDlJIZBDhl1oxzVuog6KQGOgge6CH1FgnkRMSNj3WfjxLc7bMyguXOfDffIKw4TP11bdwVmrbeuYyFDjzFaSQ7YI75Y70vmu2wcjP30uiP4tqaEghKZ9e2HZbszNFZk83dm+Gnkd3IQKBu1wDJF6xgQwFXt1F0VX01A2kte4wrL4Oej93FLMzycKfvUVQc+h95l5028DqyZLa34+etVn+61Ms/eXbICF9cIDhX3kUq78DIkHx5QusPnsOb6mC0ZWk+4mD9D5zLwD1C0uxEW4jOZqn5zNH6HpsH16hzszvvUBz8sbX2HawB3P0PXMcRVdZ+taPiRyfnk/dQ+/PHkezDWQoKb58gcJz53DnSySGu+h8dC96ysLq6yBzaBDFUJn4jz+geXmF/OMH6P38Maz+DoQfMvDlBwB471/+Of5ag+TuHno/d5TcI3txZorM/uHLtKaLKJpK7+fvxR7MkT40gF+oE5Rb2EM5RBAx/7XXaU0XSO3vY+zXn8TsztCaKaIaGq3ZuGbB6EzS89Rher9wDM0yEGFE4flzFJ5/j6DUoOfTh8k/eYjGxSW6Ht+PnrIovnSBxb84iV+8+RYtRVFAChRFRc923NZ5vxGMjE33w6OAQtjwbmiYr4WOQU7tZTXayoDe2n7uQhy+38K0FC6/5/PZL6cpFyN+9bc6+er/VSab05ib8qmUPsISbQlBw2P1xBylM8ukBk9z+L9+lKGn9lKfLq8bZuFF+BUHuye1xQKrhoaespCAV9r64w8/vZ+eR0YonV1m9nsX7njuzq+5TH/nHJPfOkNjvsrI5w4w/PR+QifYRGfLSOAs17G6kpu9ZFh/GKuGhrPauO3iPClkbJhU1qVKr8DssNEsjWCnWi4h4zzzbJnZ711g9IuH6H98F6NfOLjJMIswnn+taMomeV5VV3dkLK6GnjTIHRvELTZY/N57dBwdIDnYQdT0Y2YkF1PzVlcKpMRZrtGYKbPy0mWaM6U4wvIjhB9SfGua6oVl+p7YS/7hMVZeGcff5hqQ7XPzfiBle1KYtXGrdxzuBylZfv4iiqbScU//jp/3yy2ac2XKZ5YovDYBMv7dc0cGsXszqIaKZcXtcztVh98skodH6fnK41gjPRvHX1hj7btvUT9xeeM7CUFyrJuO4yMIL2Thz97CW62h2gaKppL/1D3M//HrzP/5mygKhE0P4YWkDw3Q94VjzP/pG7iLZTTbZPTXniB3/yglxyf3wG4y9wwx/9XXaYyvkBzLk39sP0o75eLMrTH/9fizHfeP3XLdwpW1p/b2kHtoD0G5wdrLF/EKdRRdo3J6lsrpWaKWh5lPM/ifPUzmnkHc+TgdZHalSR8aZOb3X2Dm/30JLWniF+pEbkDhuXP45SadH9tDc3yVtVdjRz4oxwWZrekCc199DXelSmpP7+ZFqaCnbea/+hr5Tx5CtTSKL13AzKfpuG8Uv1hnz299lsIL56n8OE6lDP3iw5hdcUtn1PIpn5yifGKSqOVj9mQY/pVHaU2vUSk10JImRlcKb7XGe//TNzBySfb982eovjNLWI9rBZL3jND1+QdJHtlMAy/9/vdpvjuNcDxQVUSrSWvq8m3ncY3uLLmnjpO+fy9qwsSdXaX60lkab4/HGyjglRwUBaLr1KxYJLYZ0AG2miSn9vx0GmZNV0gkVDq74j7mN19scexBm6d+No2uK9Sq0UdrmCGmwbwI34sImz6VS0UGP7kHI70RNfhVh/L5Vfof20XuQA+Vi4W4rQfI7u2iY38evxJvczU6j/Yz9Jn9tJZqLLwwcUcqjLcsX0j8modfdZn+q/ewu1P0PDSMX3OZ/d6F9f7qyI9YPTHH6BcO0bEvj1tsrj+Ak/0Z8vcOELkBxXcWbzuvG7Z8gqaH1ZkkOZilObfhGHQe7sPuTuGu7VzMIkNB0PAJnYDqpSL5+wZjZ+gq+GUHEUYkutOYHTZ+Jc5PGRmL7vs3DwZQLZ2u+4bXc8SapVG9uIq7UmPg6UMMPnMYVVeREtxCXAiVf3gMuzcTt/VFksZEkdRoF92PjNH98BhuoU7twioSGHjqACKMsPuyLD17HoCex/fQ8/HdaEkDPWnQmN6+glq1dDqPD9H/1AGSwzkUXaFyZom1kzPb5vwiJ8CvOCSHc+z9x49SenuOoOpgdaXofXIfYdOPK8/LLRKDHfR/aj/pXV0Mfv4QlbNLVM8v05qtkD3Ux9hX7ids+TSn1kABoyPByM/HEV5jokh9vLB1AbcAxdDROzOYvVelDxx/g1puIzHSRecje2hcWIoN22p1w5mT4C6WaY6v4C61ixilRDUNEoM5cg/uwuhKIdwQRVWwhzpx5kuYvVms3gwiiqi8PU3k+ESOj19qrl/XMhREDY+w4SJvU182OdpN/omDVE/NUnr9El6hDiKmmq2+LJ0f24uCRNF10gf6qZ2bX3cAIi/AmVujeXklprhVZX1tkeMTNlwiNyBseARrm58ZMhSEdZeo6W279qDcwF2pETU9wqaPM1NEtXTs/hxmPo091En1x9M48yVUTcNZqKBn48Eyiq5iD+bofHhPHNEaOqk9vTH13abagnKT8skp/GKdoNIkrLvoGRvV0hBegGLoaLnUpt8eQLVNrtg/PZvF6ulHtROIwMcv3jpbkfvs/eSePIrR04GiKpi9OfR0Em++SLBaQXgx65XelcdIW+z01Nlj3otErldjX4GhGCSUzC2v61rclYbZdyV7Hzbp7td550cOlVKEriucesNBSj4yDW2zwyZ/fIDMri4asxX8mouMJIn+NF1H+vAqDl5l46d0iy2WXpqk+/ggB3/9IRZfnKC1XMfM2vR9bJTMaCfFUwubIjsrn2T3zx3G7LBZO7OMDAXpkY2LVQpJa7l+ZwRG2iGut9Zi+i/PYaQt+j4+RlD3mPv+JSI3JHQC5v7uEj33D7Pry0dI9KSoTZfRLJ3uewfI3z/I2tll1t5ZvO3orrVSpz5dJneol32/dJylV6aQoSC7N0/Pg0MYmc06x6oZi4IMf3Y/tYk13JKDCCLMDpueh4fRLJ3GfGXTZ0rvreBXXPof34UUgurEGkbKovOeXjK7N7c3yDCiMVMi/N45VEMjaLgEFYew6TPzjVNEbhBH+aHAKzZQNBW/3Ip70IOI0slZ/IpD4fVJjKyNoilErQC/HEfFq69PruftmjNxQV1jco35hoeiKgQNj6DuIkNJcyYWaQkbkqXnLhLUXEBh6bkLqJZO2PDwK86OhTgyFDTnysx88xQyFLirDcKmx+KzF1BNHRlEyEjEzlHNZe3kLPWJAmHTx684eOUW0XtLOCs1VFNDBoLQ8UnvyuMsVim9PU/kBniFBm7xzjuQ28HsSqOaOkZXGr0zuWGA429MUGnFOdSrrkdFU1AMjbDhsfydtzeN//NWa0RO7KAQifVWtcjxEV7wvlmLTWvvTqMaGmZPGj2bwFupoWgKicEc/V+6n+IL5wnKTVRTJzmWXx89CW0HtNKKjTK87wLHqxG1uwFkJBBeEOd/2w6DYsTywWHDhUgiojhnL5NmLLg0mqf3c0dZe/livHbLIL2/f1MKSnjBOm0tQxHnn7Ud8mM7rbHVInIdtEw2bm6/RSiGRnLfAGZfbp3901Ia5lAX9lgvwWolTq/rcR5ehDs/Y33pUhclvGtmRFtKgrw2eMtruxZ3pWEeP+8RhpIolFw44+G5khe+2+DCux4iYtsBAR8WrFyCnvsH6b5vMJ7VHApUTSWoe7Fa1lU52tAJKJ1bYfzr79D/xG6GPh23oSha7Omunphj8YUJ/NpGy0V2Txedh/sw0ha9Dw3RsW/zXNHIDbnwhydwVuo3rBi8FdTG15j7u4vs+rkjDDy5B6/irhvI2lSJy396ioEndtP7sVF6Hh5Zv+nK760y//zl67aN3QheyWH1xDyJvgyd9/SS7M8iw4jIj1h7dwkza2+Zo6oaGrkDPXTs7143klcii9U3Z1l8cfNwkMZshfkfXKLvsTEGPrGH7geGEUGEX3FZfHGSA7+aW7dtMpK4y7V2LvXqgyp4xTq6bdCarxC5G97yFaN7NZzF6nrFtNmVRDW1uMWqsvVcaZZGUHVwVuubxEy89uUkRERj8qoRpVeMoBIX8tm9abxiEykkdk8KK58iqLm0FmuETY/65QJGxsJba4CE+uVroltVQbN1/HKT2qXNkYjvhpuods3WSe/KE9Rc6uOFbb/7BwlvtUbl5BSJ0Ty5B3YhWj6t6Y37TkZia7GlHxHUXIKaQ9h0qZ2JxwLq2cR661LY9LEHDezBHO5yFas7i5FL3lFNe3e5SvnkFKm9vfHa3QBvpYqRS5La3cPkf/gBfqlB9sg2hX1SXj9SjySKjOtHbhWb7q+rRCOkkOuReGIsT9hwUS0DozMVpw50FTOfJjHURfX0LEG5Scd9Y1v3L9jkSKwf7xbSAbKtJKMlU+t/vxUomoqaMK8pXIuL6bRUHP1rlk7kR9QuF3Cvw1SuhDM4srlFPlTHIJTvv43vrjTMa4UIOxHSO6DT06czPe4zPxMQhZLwI+zLD1t+rBqlKthdSTRLR4qYRq1PlSifX90UMUOcy537wSVaqw2ye7owUhaRH9JcqFG5sEpjbnNkF9Q85n5wCTO9OUrUDAsr0YlfKWLoGUITNN1GRiFRFKCqcbVj6LcABTuZo1VfQUqBncoTBi4i8jHNLFHJYPH78/hLCsnMAIHXJPAaFN9ZQNFUug6NYBqd6PoSqmogooDq2y1ka4Hsvi4S+SwiDGkulqlNVAnmEuhGkjCIH9DlCwWUv7mwpfhKRhK32GL6O2cpn1smbBsgGQqqlwpMfSuk69gAZocNQtKYr1I8tYCz2gQpNwRMolgOdPbvLpLoTaMnY6ozcgNaS3UqFwrU273YitIetuGGLLwwjrPaID2aQ7MNgoZHdWKN+lQJzYzpauFdpy9YVUj0ZjA7LCI3RApB5IaopkayP4sIIhpzZSIvIrOrC83WCeouQd2n42APdj5F+dwybrG0q2I4AAAgAElEQVS5xTinBrNYnUm8oQ68UgtnpY7wQzJ7ulFNlcZsJe4dzsbXhQgFkRPgFpt0HOxF0RT8ioP0I/SUSWq4A3dVo7VYw0hbZA/0oBCzI3ZPCiNjoyeNmLZcbcSV23vz7d+oSbI/i5Gx0JIGQd3DWakTNvz1Y7fmK4QtP46sPmR4KzWqp2fxi3VyD+6i82N721Tuzj3FMoxw59aonZmj67H9JEbyoMTRUfWdGZz5Ms3JVay+LL2fO4a7XEVRlTiSbBvDxK5uEsNdZI+NYPfn6HxkL1Z/jsb5BfxK66YiWG+5SvXUDGHNoeO+UXIP76H8xjhhw8VdrJB/4gBRy4+rqlV1PfV1MwgqTfxSk/TBfnrDe5F+xNqrFxFeSHJvL/Zgjsw9g9iDnXQ+ug97IEdjfOX6UWsUR+lrr16i85G9JEbyCDdAzyZiSj+SBDUHv1gn/+RBRMvHyMVppOtFnLcL4fsI12XTlJib/WwoiBpxD7lqxqZPSon0Q4K1DSdc1RXEDQLyhqxs+7pEEvL+e6zvSsM8ssvg6EM2vf061XLE4mzAg48nmL7sE36EE6ZEIKiOr1Edv4UpIhLCVsDK6zOsvH7jMvrKxQKVi1tzdVYiR2ffIZxGgcALSWUGMew0IvLx3QaqZqCqGs3qIlJKMvndOM0iMhIkswO4zTWkiD8XreosfGsZ3UxiGClMu4N6aYbQabH86hT1Mx6pjkGSmX4Cv4VuJLETvbiTAa3xAlAgDBwCr4GVyJHt2oXbKHDFeVx7Z5HS6UU0XcG046pqVY0HZMh6k8mvnSTdoaFFEdKI58FKP6Q5WaDRzlOGoUQ3FEQkqZ6YQEaSyBGkshqmrVJdc1h87hKGpeA5Aikg26WjAE49QtMkhqmSyemUVnyEhKjusPrGFCuvxetU24MifFfy3u+9ueWc7wQ9aZLdl8evxcIcRsYmu7c7brUxNerTJfoe34W72qC5EOc/E30ZkoMdNBeqm9ThNu03Y6LaelvQI0H14irp0Rx2bwY9ZWHnkzH93G6Pcdea+G/OkuzPoCgKZU0FIiI33HigK3FeOtkX578VVSG7rxsrl2i3vki0hIG72iDRl1n/XMfBnjiFoMTbqIZGte1oyVDQmFqDqTs3TedmUT+/iLtYJnICamfnQVVIjnWjpSyCSmtdiSrytnrw7lKVwrNn6fz4fpK7e1A0laDaAlVFSknj0nJcDHffGImRLtz5EoVnz+LOlxFBhNGRIDHUCVLSmimiZ2wSw520ple3k7XeDCGpnZ3HXaog3IDqqRkUVcXqzaKaOu5ihcJz50gd6EMGEY3LK5TeuIwzuwZIopa3XkW9E7zVOrUz8+gZm9SeXiI3QPnROHghRi5JYrgL4Ue482X0bAJ7sJPW7BruQhlV14icgObEKlHLJ2r5uIuV9b8vfesk3Z8+jD2Ywy/UqZ9fwF9rxM5AIaL4ykXSe3sRfkTj4hJrr17CXSzH2g9zpS0MRu3MHN7ShpraTUFTEZ6LX1xFteyb/9wVhBHNczMYPR1Yg3nQVMJqk9aFObzZ+Lkjwggja5MczMWpvPr1BWRUNNSrisBMJUFO7aV2C/re2+GuNMx777EwTYXTbzkceyiBbijsP2K2R+R99C1THxVUzSCdG6Iwf4qOnn1IEQImmmaAoqCoOigqUvjouo2mxZSWphlouomqpTDtLGHgoFspNM2kWpygZ+QBVHVzgY1hJlEUFXflAolMLyIKsBIdRFFAq7ZCq7FKFMS5TStZI/A305nJjEY6p2FaKrqhIKWkUgjJD5oUF33G7klQXgkQQhIGEt+RmAkVRYkNcqshyOR0mrWIvhGTKJI0axHptmGeOg9uI6JnxGJx0sV3JUN7LOykyuKURxhIeoZMuvoMxt+FMBDYSY1Wo61LrSjoOpgJlYWJW5OTS/Rl0EydhecurVP41fECycEOsnu7acxVMDI2s3/zHu5qTIelhnOELZ/i2/M7RlbOSoPa5SJmLkH3g8NUL65SvVwgaPikBjuw8kkq51cIWwGZXV2ouhoXHl5cpfeRse3bviQEdY/aeJH8A8Nx0Vbawis7VC8VyB3uIzXUQe1ygfpUKZaJVRSMjIVbaFK9XKD7gWGSA9l1w/xRYvkv39707+rbM1Tf3nB4yz+a2PGzMoxw5ko4c9s7YVHdpfLWJJW3tp+RXjs9R+303Lbv3QgyEix+88Sm18pvbl7r6g/OwA/ObPt5v9ig9Or1WyaFF1A/N0/93PyW96o/nqb64+ltP+cubPSvF184v+mYV28z/9XXdjz26t++y05XR/nNiS3fdfHP3tpxXztBsxLoqTQoCsK9vfRJ9ZVzyFCQOjKKYui4M6vUXj9PWI3ZOFXX4i4GU9ski7wT0moOS0kg2rNzLSVBVu26rbVdjbvSMAe+wGnFs35NSyHToRLeWi/6Tx2kFPhujWZ1kXRuBK9VRtNMPLcWG1rDRlE17FRXHOWaNlaykyhw0c0kZhTgew08p4IUAt+rk0jlkUAUeptmoAoR4TSKeK0ymc5RdCNBFHqEoYeIfKLIazsFMXWjqhqmncFrbdzgA7ssegZNrKSCaalUSyGBJzlwb4LFSRcFOPxwmlyPTq0UUlgI0E2FVIdGvs+g1YjoyOsUF3yiCExbIZnWkBJW530OPpDi3VdrDO+xKC74+G6ElVAZ2GVhJeKK6YMPpJgfdznyaBq3GX+/2YsOmc54DrLnCrr7jVs2zKqpxa1iSaMtlxrLdAZNP66UlRBU3U0tbjISKIqCkTLbsptbc4WRGxK2fIyMhZG16Xl4FKsrSWupBgrrNQ0yFOv7Uw0VPWGimlqcH/NCNEtHsw1UK0A14geMljDQTA3N1tstRH6s4iYkihoLa2gJA9XU0ax4DF/Y9GPKXsr3JQbz9/h73AmIwEeEAaqiEFS3iuHcDMJyg9L3TlD63olt34+cIGaJRLtO4arK9+3Qow2TUjpwZezE6JhYSnLH7W8Wd6VhrlUEB45YHH8kQd+gTiLVycx48JEWfX3U8N0axYV48pLTuEJ1X8sgbPx7urq4/qozea1oSLxdoxz32q0tbvbSnfoKTj2ewNSsXTuqbjO8Vonl6R9teb1SCOgbNUl36PiuoLNHx7KTlFZC8gMmfSMWnicYf7dFrRSSzGh09VsUF31CX+J7goVxDyupkOs28BxJYcFFhBLTVpERZPMGPUMmpq1CLaJRDVldUNA0hd4RE7cVxfS5hMK8x55jSbr6DbKdOp29BpViQHklRFFvcnKZjHNSlfOreOUWmbHOeJiEpWH3pNHrXruVbGuRjldqkd7VxfAX76F4co76xGYa+Erlr5Tx/2Qk4kKu3nRcDR2JuNhPyLjYTcT0cnq0k/4n95AeztGYrdCcLdN5rJ/cPX20ltqFZAr0fWIPqcEs+ePDaJa5ftlIGQuOZPd00/f4bhLdKfL3DaEZWnstgGAbr/ini71S26yTiP5/HgHcxRC+B0JidHWjmhZh5faM83WPIQR+1cHI2ljdKbxya1uNgSuoiFUKcp6aiO9nW0kxqO993+tQrq12/SigKMqmRegG9A7o7Dlo0tGpMTsVcPmsh3sXKH/9PW4Oigq6EeeWZax2iBDtsZZRTFcj206pCt0DJh15nUunW1eCznVc2cf6pdr+M4riPLLvxTlmTY8pakWJ88cQ56ghPqZmKojwitpXbIyFgOgW6hauSIlKKdepY0VTUTQ1bjdpyzxeiV6vrFXRYtlCRVGIvGBLRf0ViUUZidjYt42xZhsbAw8UJY6W2xKLINv5Zh1FVRB+hBQCRVdRtVhe8YqMqmpqqKqKHaUZsPdS8paoeCukrS50zWDNXYj7mVWFyA/JW4PUvCK2TKEYKppiIH1JOVxCUwwGzL0sepcRRHQboziihhs1Ses5dMWgFq7RY4xSDOZJaGkaUYXoBtWqqeN76P+1z5LYsyF44s6sUvjzl6m++gHIL7ahmQk6Ru5Bt1PUlyZwSos3/tDf444ide9uun/hMTL3bzZqc//+29RPXkI0PcyePqz+QRTdIGrUaV4+v8Pebh+abdB1/zChE8utemutHbXogbbIiES2b3QFFVOxtrRR7QQp5bZU1F0ZMYcBrCyGVNb+P/bes0mSJD/v/LmHTC1KV1dV657unpkePTtixawYCJIgAeIAMx4MRtrdmd2d2X2Ae3kf4b4C7czO7I4kAJIguAvsLnaxO7s7WvRMa11aZVaqyFAefi8iS2RVdanuXvTy9jFrq6rsyAiPzHD/+189j8IwU6aml9/K8OHPukThkzfO0s1QvPgiudPnWf353xEsLaDVb7ZM268bOtlbdCTcapgELM6ErMxHxIf8foPupmeafkVb399/LvUYNnY6Tti2PwB2kUb0+5+XtHjt4YZpe9hb9e7rYf3qW4/ffl6tFMm2Malu+kpCgqebdKMmcRJBlBp3HSeorWNAk9FFLOHQDVpoobFlj1ACgSE2lw4pJAKBIibRCikygMCSDhPuM8z6N3YQMTxtSFQMCKTl7Hvsb/GPg7jdwooiMiPjRMbRBXD2glVyEVJQODGQkgrtQ+40bp7CERnqapFmUkMRE+hHF9d4qgxzsSx7BV79yOYlr76d4fP3/V+LYU6ikO7MPXJnLiJSN+yJX/P/19AQh5r4v6HQ6NMKRYRAYEoHlyyuzGMKC1tkCLfs8lvxKuPOOVpqFUVEzijjyiwZVcAQFhlZIGMUUDomIwtoEmId4cocWaOIn3TQOqGpVskZadHg4+jvfPwQ2Lky0rQRQmLY+9Oz/hb/OEjCkHBlGWnZR2qXOtA1/IjWnRXCNQ9/pb2nrCpAXS2RlQVckSdvVoh1RDup09KPFmZ/qgzz9/55nkLJoOv15+dcV3D+BRezv3AYe3AEd3QCYVnoOKb74DZRY438M89hZLJIyyJYXiButzCyeZTXJlxZBCEpv/ImratfYOYKZCaOE3daePdvk/hdUIqwvoLyvb6iKKsySGbyBAhB5+YVlNd56L1Y5SqZiRMIK62M9u7dImrUyU6dwiqWEYZJuLZKuLqEVSxhD41BkmBkMngP7hIsLzw1mqOPBCGQOQdnpII1VMKs5DFLuVTRxk6/UB0rdBSjvIB4rUNUaxJMrxDX24+V3WjX4TkWzsQg7tQw1mARI+8iLBOtNUk3QK11CBbqBA+WiJb264n5zcBavEioA5SOaKlVJBLFTo82QREmXcIkoB3X6YoWsQ5ROmYxvEeUBCQk1KN5Yh0S64iOahAkXcLEYzWeI0y6mMImOVAS/x8DmjjwUKGHYTno5BF6bwVYwxXcyUGskQpmOYvMOGmaQyUkfohqdYlXW4RLa4QLdVTLe+RUvTAl1mAJZ2IQa7iMWc4hsw7CMNBRnF634xMtNwhmV4mWGin39BOAzDq4J0Zwjg1gDhQxcr1xqISkGxDXWwRzNfw7C6i235+f2ietKoRAOjbScVDekyG1MQsO0kqVsqSxv0Pm6Sah6uKKHDlZIieKZM0CFT1CI1mhldR3RK8ONI6jDP5JoVQ18LualYX+RcLNSjqtZMf35gyP4U4cx5+bJgk3OWCTKOzJlOWwB0cQpoW0HezBIcLVZaxyFXtgGGmaaBVjlatIN5Oex9+DkzlRmNk8ZqFE98GdvQ1zZYDsibN403dSlppEYZeruKPHSOIIHUXY1SGsQimVGps6SfvGFYxcnuzx06huh6i+S5+oISm8fAZnYgBhbn594fwqnSvTxLWDq7U8FAKcY4MUXjvXx5KjlaL5/nXCuZ0yljuGWcrhHBvAOTaAPVZNOWmrBcxSFqOQQdpWTxxAoJVCR4rED4mbHvFam3C+RvBgmc7VacL5GvqQwvLWYJHCa+cw8pseUPP9a4RzNXSskBkbZ3KI3HPHcU+N4YwPYFby6UJiGinxgB8Rt7x0QXuwjHdzls4X94jXHm3DYBQylN6+iFFIQ74HRfOXVwnmVh95s9JSmz2Wsdp98yeFyVq0iJ90SIjxkv5NSRhvzpOm2lzkY735e6DSYyL9ZIzAfrDHq2QvTGJVi32v6yimffkewf3FNIQfdkmiEBUFqGDbgi8FlXdfwiympBlaKbq35ul8cbfvMGukTO7iFJmzx3AmB9NNXiGLdO0Nw6zDCNX2idfaRCtNggdLtD+9g3d9Z3vTgWBK3OMjZM+O454cxR6vYg0UMYoZDNcBQ6LjmCSISLyAqNYiWlzbeJa7t+dJOo/nu5EZm+wzE2QvTuGeGMEeraQbhPWNSdLbmDQ8wsU6/r0lvGszeNdnUI1OL52yjwGTAmk7SMsminb3SLMXJsmcHUc6B2c/i+st1n5yGR0rDNvEKrq9yuz955kjsmRFAVs4gKajGwgtkRgMymP42iPQh99EPFWG+f2feizNx6ws9H9BbiYt6An8/g8qCQOU10Z1O6h2C+W1U7Yc30OHPsKwsIolYiGIWw1yw2NIxyF7/BTe/duowCdp1AmWF5H2/l9k3KjjL86RMfb/2HQUEXdaqK6H8jrEnRb50xfQidrwngvnL5GdPIE3fZe406J19XOsygCV17+J4WaJ2GmYhZQ4x4cZ/MM3MAubZfmdqw9IIkXr/ev7jm0/yKxL7tIJRv7sHYS1ea/BfI3u7XnCuRoPs8wyY5M5O07m7DGy547hnhzBGijuUKbquydTgmNh5F2swc1FNFpp4n5yi9b71/FuzKKaB3/AraESg//iDeyxzZ5C1e4Sr6WbqeyFSUpff5b8i6cwizvbGwRA3sDIuzhjVbIXpsi/eIrGaHXDQO4X5noYjEKWgT/4GvaxgUO1IQWzq4QL9Ufz6g6IWIcEiYfmafV094Y1Uqb8ziXK33xu8xnQmsQP6VyZpntnfjNFJQRCGqn28nbP3pAM/LOv4U6lildJFFP7/sd0Lt/rlbRL3OPDFN+6SPHN89gj5VRzeBuENMAyMHIu9kgZngF/coio1j6SYTYKGbLPHaf42jlyz5/EGiwgdgnvCttC2hYUstgjFTg/RdzyyN6cpfXhTVqf3EojQUctApYCs5wn/9Ipyt94juxzxxGmseO5FoZEWiZmIYszMUj+xdN412Zo/vIqrY9vpoY72C/VIdBxjOp6JP7uG4rcs8cZ+IPXMcv5A99C99Y8jfeuomNF3I2wSpmexOT+782KAnlZBjR+4tFMagSk69RZ66V+Pe9D4KkyzFc+TT/sQkkiZdo2pTVEkebLT33iqP+T8ufSdp/M5ElIVOqJxhGF85dQvofhZhGGmfbqdj2U18YeGMIdPcbqL/6eJHj0JP3DECwvIkyL7IkzCNNERyHSzaDjOPUQVUwqYG6ilSJup55uEkXpBHvIgq2VovXBdSrfvoSRczcmoz1aJXt+gvbHNx9ZItIeLpE5Pd5nlAE6l+8RrTT3nMQy61L9p6+Tf+EURubR9HmtwSLVd1/CGauw+jcf0f70Nkn36OF9e7yKNVzCGatS+b1XU5KBAxpGaRnYxwYY+pOvY5ay1P72E4KZlSMb56cdsf7NTaOYAwUq33mB8ndewB5KdXu11iRegHdtmpW/+AWdL7ex8InUG9svxywtEyPjIB0TrRKciSEG//BNil97JlVCOgSi5Qbh4iFzkUJgFDMUXz/PwD//Gs54dc9N7873g1nMkn/5DJkz45gDBdZ+/EU6DnXIdUOAWclTevM8A//izR3KUHu+1ZDknp3CHi1jFLP4dxfQ+9G7bvBrP7lWPdWNUinYwTzBagf2Kf7SJHSSBoHukpAghYFLDl93WFYzR44WPVWGeR3nX3CoDBh8+ssutRWFZQtefD3D4ky8pbI2DYEGS/PEnRbZ46fJTJ5EeR20Unj3bmMWUpkwgLjVwF+cIzt1miSKNkLW0s1guC7CsjGyOZLARyuFmSsge68ZbgbV1QjTSHPXjoORyaG8zsONu04Ia8vE7Sa5MxfITJwgrK/ijoxjlVJ1E2GaRM3exDzojjXRBA+W8e8tYlbzGNm0UtYs53BPjGINlA4/2bdCgD1WJXNmbPNWen21nS/upnnfPRA32uigvxdUaw2xSkNqYYyO4lRoINEbbUfCNJCujcw6/R6HEOSeP5lSAza9nQvqIeAcG6Dwyllyzx4n/+xxNJokjEk8P1XLUUnabiTS8QjHwsg6Ka+uSKlFMQ2qv/8qKoyp/+ATwvn9w/rboZUiqrUQTqofLKQAueWnIRGWuTuT12/xcAiBUcxS+d5LVH//VcxSL/ysNUk3pPPVA1b+4j28q/3sXdK0UZGPCn3E9kKWXSBdC7OUR9gGg//iDUrffC5toUt0mtMNos1nvNcruP6dSmczhRMu1glnD0FrKsDIuxS/dp6Rf/3ddGPe21hqlZCEEYkXosPes7xODGNIpG0hs3Z6fZm2/JmlHEN/9BZG1mXlP/6SaLlxqDSJzDoUXj7N4B++hdXbAK1DxwrlBSR+mH4WPSIbYWzOK2GZWAPp5rvz5b19l0CdKEgSpJ2uy7tBeQHRaiv97KVIHZctP6VlgiEfuiFXfkowEiy3e0pueyPSIUVZpSyHkMJEa4VCcS/+irXk6DKoT6VhPjZl8a3fyzF1yub7/6FJu6W5+KLDj/5zG3qGWVgW+XPPkjtzIX0oI5/6+/+AjmMKzzxH+ZU3SQKfJAxBKZLAJ241cYbHaH75CVrFSMuhcOES2VPnEIaJkcnQfXCHsL5K+aU3sCsDFJ99mW6pinf/NvbAEIVnnsPIF5C2jXf/Nq2rX+wYvzAtMsdPU3zuFbSKEUKw+osfEa6uYFeqFC++iLAd/LkHtK5dxqoMoFXP89KaJIr2ZbxofnAd99RomsPpGQ17qEjuhZOEf3t0wywdG2d8oE+sHiBcqOPfXSTx9tkBxgmtj27iTA7hHh/eKHqJlht4X92ne3eB4MEK0WoT1fHTXt2sjT1aJff8CYpvXcA9MbIjHJa7dIJgZhnvxuyh883ryJweJ3v2GDLjoHVC0g1TSr6ff0Xn6jTRSgPVCZCOiTVYIntxiuIb58ldnEL0epABEILq771COLdKXG8d2ouP620W/u0PsaoFjJyDkctg5F2MXAaZT0Od7smRjU3Xb3EACDCKWaq/9zJDf/z2hoaz1qmxbH9+h5X/8B7dmzt7lJMowK8vErXXDrQ/lq6Nc3wY9/Qo5W9fSq8TK1THx789T+faDMHMCvFamyRIBRPMcg53cojM+Qnc4yOpVOhcrU88Yd9bdCwyz0ww9j/+TrqpWzfKsSJe69C5+oDWBzfw7ywQrTZJ/FTL2hwokjk1RvGNZ8henMIs5TY4t4VhMPBPXiOcr9H42ZcbqZ79BwPZ85OU37m0q1EOZlZofnCd9ie3CWZWSLohwrWwqkWyFyYovXUR9/QoRs7FrOQpvP7M/jldrYm9DqrTwcwXdz2k+cF1/AdLaS1Lzt2YV0bOReZdMmfGsAZLO6KB67ArWYQhyB6vErb81GveA0PGBAYmMRE2Lh4etnj0yv6n0jA36oqf/NcOc9MRf/xvShsh7q3QUUjzq09pXf2890JvR6U1C//l/914LWVhSr9waRggJd69W71wsqLx+Uc0L/f4d7VOq7C1ZvnHf9NjtkgZmNAJ4eoSnVtXe2wZuq9iu29scUTn9jW8uzfXB5EaXq1Z+/SDDU9o/bzB8gLrRUCq02Ll7/9m3zxi+5NbVN99Oc0b9aoHzcEiuRdPUv/bT/Z8715wJgZxjg+nVHQbN6RpvX89raI8AFqf3KLwyhl0ktD++BatD2+kYd9Ypfec9FdgqpZPtzOPf3eRxntXGPyjt6j+zssb9wXpYuieHCVzdhzvqwdHujejtJlLjhbXqP/4c2r/9SMSL1XJWR9T4oUE0ysEs6u0P71N6evPMvQnX8fIbPa4Ssei9NZFwoU6nc/v7rjWXtBhjH97Af/OYio7JyD9hTRC8OxxRv78O2ROj+1zpt9iHWalQOXdlxj6k6/3h3ZVQvMXV1n5T+/j313Y9b3CsHCLg7jlYeLAo/Fgd+WgdRilHIWvPUPx9XMbrzV+/hW173+E/2AZHaQ0pikrDhvfa+uDGyAF1kABe3wg9VAPEW1xxgcY/tOvI5x+r759+R61v/6AzuV7qaLTlvmV+BHhXI1woU7roxvkXznD4B+8QfZ8v6zk0J98nWC+RuezO/sXYZF+3vlLJ8lemNzxf41fXWP1L36RfhZKbXjhuq0IOgHB7AqNf/iS8ndfZOCfvIZzbCDd+O5zzZSC1k7FJ9q7d0jEq820ALa3aRGiN69682vkz79D6RvPISu756Cjps/a5Xk69+tEB1jvFDGebhHpgFiG1NUiE+bZfd+3H55Kw6w1dL2Eyx/61JcV3/q9HC9+LYO1vcc5SXbVJ9XbtCGtcpXsqWdwhkZoX/+ynywkUbsaQa3inbwR++mhHmBs6fV2nnfHtfeBagd0rk5jj1WwBtMdq3RsnLEB3NNj+Lf3ptJ8GJzjw6nHur4b1+nGpvnBdVTnYGw2SSdg8f/6McI0UB2fpBvuP9kTjU4U0XKDlb/8BU6volb2WqqEEFgDRdyJwSMb5vV7imot1n56mdr3P3p4u4rWoDTRcoPGe1cQpsHIv3qnd6L0XNnzk2TPT+LfWSAJFUY53YmrZht7cpzg9j20H2AdG03l81ZrvXCeiY4iZCaDsC2E66BqayRe+vnqKN6hP/1bPBzWSJnKd1+g+vuv9aVBkihm7cefU//bTwjuLz00TJtEKVd83G3jt7bT1+6Ee3wYZ7yKzNgoz2f53/2cxntXiGut3WsO1h2E3p/h4hpRrQWHoBi2RsoU3zyPe3KsL5LU+vAGq//lAzpXptMU0m7oPctJN6T90S0QMJz9Ju7U8EZTgFHIUHj1LNFinWB6/88g/8JJcpdO9BWcaZX0cvjvEdxf3n3ObxnL2t9/jjQNKt97CWdycN9rmpUB7MFBpGEic4WH3CvrvLYbf/b9d5zsmTaMvTT6FXejA1Vla52Q6ASBIC9KOEYGV6RGX5o2huWAkHluXHkAACAASURBVGnlf3zwyNpTaZi//NhHSPC7mvu3Q/72P2ru3YrotI9W1BR3Wnh3rtOdvotqHzx09FRDazqf3yH33PENwyykwCznKLxy9kiGWWYdnKmhtGp0/TJx2h4SLdQPXuikdRqiO4ptSTTxaovaDz7BPT68YZgBzFIOa6RyhJP2w/vqAa0Pb6AaB6jyTlLj3ProJoWXT5M5N7GxMErHInNyFGdiEH+6hlHMp5GYrp+2g4lU0lK6Dka5hMynHrs9OU68WkfVGwgnJUtQjcM9l041g1N06Cy0KZ+p4i11KJ2s4Ne7KD/GKtjoOMGv+5gZk9xYgc58i/Z0k5FXx1m7XUOFisJECcM1CNZ8DNvEKTp4yx5Bw6d0skzrQQPDNcmPF1Bxgr/ikaiE0okK7fkW7enGBu2nU3bJjRWwCzYqiAlaIbnhPJ3FNkKAU3JRgSJsB5gZE6fk9s6x973v9RjZ4wOUv/08le+80Fddn4Qx9b/7hLUff5F6bntsDIVh4hQHMJ0cobe3twykNQe2SdzyaPzsK9Z+8gVxvYMwJUbOTqlR95oriUbvIku5F5yxKsXXntnQEYbeBvMnl/GuzTzcKG+/tB/iXZmh8bOvcP9seON1ISWFl07T+fwuwezeLXnCtXFPjabSiVs28EkYs/JXvySYWT2Q1510AhrvXcGZHMIaKffd267Hdz3C5SWEYaScuk8CGxzym8Z9LywnMxuGGcAVWRpqBStXpjL5HCrsolVMpzZD0Dp4PcETurtHg9dJGJ+0+Ff/c5k/+18rvPSGy/XL/pG1mHUUEa3VCJcXUN0n05j+j4Hu3UWCmRXUFrIAI58h/+IphLt/Ect2OJNDOOMDfcZQBxHNX11DHbYa+hEcPq1UWmjW8NIijh5kxsbYpbXpMFDtLt6tWYLpQxRmqIRosc7aP3zZn/sX4JwYxjkxnBrkWGEUCshcBqNchF6fuSZtWzEGKljjIxjlItJ1iNcaJF4X6boHKjraCsM2cAezFCZKuNUsTsnFzJqUTlXIDOXIDOZwyhkM28AuONgFh+r5QYQhcAezGLaJmbGw8hbZ4RyVswNkhrJEXkTQ6BJ3I9xKBsM1yQxmkbZBEipKJ8s4RRcza1F9ZgDD3VxMnVLPMJdcnHKG0qkK7dkm5VMVisfLIAVhK8ApuVTPD5EZylI8sc9GS2t4SJeBMzFI+TuXKH/z+Y3NqdaaJIio/eBj6j/6HP/+0r41CTrpcYwbJtI8GCWnjhXhXI3a9z8mrrUxMhb5cyNkjw9i5h4vradRyuGeGsMe75cTbH9yi+6d+cPXOKy18a5NEy71b0KswSLOxABGYe855k711oktIXUdxnSvz6SbhPDgDG/RajMdy9z+Rmu9ZkhmspiF0r7HHwV2OUPh7BBDXztOZmz/ayQ6QZMQERLio9F4uoOUJjpR+M1lvPoccXDA3H0PT5VhfuFrLiPHTE6dszl5zqbVUCnZiBa88U4W2/5tlepWJB2f7s25PkYqYRnYYxWy545tCCMcFNkz4zjj1Y3wlk4SVKtL+6Ob6OjXyHWsQbW6RMuNvusKy0gXg0egSA3maoRzNZL9WjO2QXVDOl/cRXWCvhCXNVDAGasiDEG8WiNeTr2F8MEcOkwXTLVaJ7w/SzS7QDgzT/fL6wQPZklaHeLaGtHSCol/uNa9qBWilWboxVE6cy3yx4oIQ2LnbQzbgERjuCa50TzZ4RxCCpxyBreaIVPNkhnMkB8rYBddpG1gFx2EFHhLbYK6nxr+aobMUA4rbxN7EWEzwK1myY2loTq75CKNzWdMGALDSYUwwnaA6ZiYWRPDNTEyJlE7pLvqocIYaUp0Qir0sQfWq423w54YpPTO85S+/iz2aGrcdZKytdV/+Cn1v/uU4MHSgZ5bnSiiboskCpAH4CgAiHsdAsGDngqxFGTGyrhjJYzM4TfFe8Eeq/ZIM7YUtCWa1qe3D16stRUqIa630/D+FgjTwB6rYg08JEzcg3tyJC342jIPEz+k9cmttDj0MJvyROPfSx2M/aATjbAszHzxUAQih4GQYlPJ7QAoyUFyskRG5CmJASzhMGCM9tKjGitTxM5XMazDFXI+VaHsctVgbUUxNmUhBPzoP7cJfc3ohMX/8r9X+cFftjcUpipVSZJoGmuPlourDkoqFYnva1aXE3z/8eT2pATHEdiOoLG2dwg+XxCcOWfy2ceH5xL2rs+Qu3QSZ3IozV8KgczYlN66SPfmHPqAeQ2ZdTbIQNaR+FE6aWZXj05A8AiI6z2u2t4zLaRMq7V7Sk5HQTi3mub3DguVEK22CGdXcc+MIWQ6daRtYVYKmIUM4XyNpJm2kwXtzQVTrTVRa7uHa7UfEC88TGJ+j+GEMUmksHIWzQdr2EWbJEoIal2Cup9WKTsmwhBopUnihO5KB62hNdMg7sYIQ+KveuiVNDIYtUKiTvoMCiFoz7eIvYi4k74eeSHNB2vpxilS+LVun2GVpkQIUHGCNA0at2vpzzt1EODXPJJQ0V32qF1bQWtNd2lvw7Ib8YQ9XqXcM8pOjzxEJwmq2aX5y6us/vUHhItrB+7LFUKgVXyoPGBcb/dIRtYHqtMKe9fCyz5eo2EPlzYITtahWh7hzOqR+/oTPyKYq7HdBKeUnnuTczhj1Y1WtI3zBRHeVw8OXoOzBeFCnXBpbaOl6mEQUiItG2FZezI0PgqSSIGGcK27kW/eC1lZINAmFg4ZWaCV1BmU48yFDwjb9bTbx3JSgplD4KkyzHMPIlrNhDjSGIagOmgQR6m4he9tUnJmMoIXXrYwTcGVLyOajYQkgbFxA9OExfkEz0soVyT5giSKdO+8MDKWHjM/p0gSePElm1PnTOZnFB9/GNJcSxgakXieZnkpYWRUkstJlErLN7odTRhqhobTD3p+TuF19A67VSpLJqbSYy5/lmBZMHbMwHUF9VpCq6nJ5QXliqQ6KPn291y+/Dzi2KSBaQrW6gmNRjrmvRDOrhLcX0JdOonZqzqWtkX+5dOYf/VLwiA6UG+iMzmEPZYWtKxDtbq0Prr1j2KUAZIg3DnRBf0V44dEtNpENY84qZOE7u35tGp9S5GRUchgDRYI52t7vPnxwrANVKBY/myeJFQsfTLfL5G8/hFt/bv3+8w+xhAgaPjM/Xxnkd3Sx/M7zreOJE7orqYLmuFa1K6t7HqcX+vi17oHk3RWus8wW0MlKt95gdK3nt8gtNAqIV5r0/rwJkv//ufEq61DPbNCGphOFiENVLR/5EInmrjp4d9b3HhNmgaJH2EV3H1zpYeCIVN++a1erNYpz7YXHHlu6ihOqWW3wSzlMPJ7eHemxKwWkFvC9WmkIsSfXj4SXaxqddNNeBgh9iBpka6Lkc8jbSfVa30SkILCmUF0nOoy7+cqKRQZkUeJCC9p0UpqDBijJFFAa/EOAFa2iAoPt+Y8VYa5XDXoNBPqK4rxKYu3vpuj6yWUKwZ3b4QburnFkuDZSxalUuo1370dE4bwze84DA4a/Oq9gFs3Yl75ms3YuMHCvOL2jQjP03zruy4Dg5Kf/yRgaUlx+pxJdUCyvKCwLKgMSN7+psPaWsIP/trn7W+5DA5JojBNGd65HTM7HfONd1wyGcHPfxrwxWdhnwEVAgaHJM9esljq0Yu6GcHrbzpMTBncvBZz+2bM6Ljk9FmLKNIYZrqx+N7vZ7BtuHcn5tOPIhbm9vYMdazo3lnAv79I/tLJ9PqGxBoqkX1mgrjp7d97DOQuTvWFsLRKiGst2p/fOezX+NiQEjQ83nPGDQ/lHY3xTSfpgrjRc96Dmc9gVvYO/z1uJHGCt9gmbG35bh+uePnYP8fdzte8t0Z3uYO0zdTw7nfdA4xpw2MWIHNuyuj13RexqunnvW6Umx/cYPn/+Rlx/QjRECExMwWsbAHZ3L/2QCuVcl6vk+0IkBkL7/5qmuN+jGxwRs7FLOf6WvXQaXGbMznY41s/wnnz7q71GtK1+mpMtsPMZ1Ku+y0bUx3HxI3OgQvQdoPyAuJWF3tPw5xBWg6J391Tp+BRoJVGGhKZtTEOUKcTaI+8LBFoWE5mgZR0xHQy2LkKaE1u6DhebYZ4Ow/7HniqDPOHP0sn88JszNJ8zLlnHYplyc0rIR+957HeRbS4kHD/jsIPYv7+h+nClM0KfvqjgHMXTM5dsFhZUVQqkhtXI3764wApIZsT/MPf+zxz3uS5Fyz+6t9FfPVFiG0Lrl+LmZ9VuBnBF59GvPSajRAwNi758rMINyM4ccpECpifVfz8pz5nn7F47Q2bq19FfXShWqee9M1rMSdOpV5zEGh+9V7A6WWTqeMmo+MOs9MxP/pBF9eV/Pn/lOOdd1067YQ784rnXrBZWU72NcwA/r0FurfmyT17fIM4ACEovHGeztXp/Q2zaZA9P4FZ3TQuqt2le28h7bV8XJApA1LKvCNBrvcZbhJ3rPccCpG2fz2Kd7wbEi84dEXs5ps10UpjR4hUuFafWMavAypQqODpogPViSZshcDjo/PUKkEHMTLjUHr7ItV/9vomR7zWaWX0L66y8u9/frR8K6BVRNxtYVgO0rAR0tiTR0CHMcm21sHssSruWKpO5j14fJETs5TbETYWhiT//Anyz594bNdZh3RtxB4ev1HO7YgI6DA+WnpoCxIvQLW7MPTwgqtoZYloZSldJ55QFM8qOAR1j+xEGcPZ3zyuqFlW1OyWVwT3kmu4lRHyQ8dRUYiTr+I3D5eueqoM8zoGR0ySBN77YYexSYtXv55hbtpk7n7MBkHWluMHBiRvf8uhWJJM31dpPz/QaiZ4Xnrk8Kjkjbcd8nnJ9AN14PqhKEq5uoWEOIapEwaFoovtSFaWFIaxvz6QacF3fsdlcMhgeUmRKLDt1Ch1PQ2knmE2J1ia1wQB/OSHPjMPDrbwxqst/HuLRKvNPr7a/EunMP8qnxqTPUJMmVOjWCPlvgkZrTZ3KOg8CoRlYo2UcSYHcSaGsAbSvKyRd5FZN6UKtE2kZabUhbaRykI+bsMcxjv63A8KrfWO4i9Ii2b2Wsx+i0eASkBA7vkTjP0Pv7OTXOOjm6z85S+ObJQBDCdD6K2RqBjTyZIbOUF7/vZDj9exItm6udPQuDyDdE9ixskj8blvh7TNh7JUPQkIw9jc3O82HscGoz9fqlVCckDyoYdBR2r/DbMQCMtKSUaS5Il02EQNn7Uv1wlGjsJzrYlUF1Wbo7M6i05irGyJJDrcuZ7K1eTZlx1sR3DzSsj3/nme+oriX/9vVf7P/2OFdjP1VpYWFc+/YPGH/12G+3cVUsLklIGbESlhF9siexpMUzBx3MDNil11tjNZwbnzFt9+12FiyuTOzRjX7TcMWqdFXZPHDQoFwW7R1nxB8NwLNt94x6FYlMxOpweNjEmKJYGK4c6tGMcR/Pf/Jk+rmdBYS/jR933+6E+zDI9K7tyOWVo8uEcUzKzQufKgzzBL1yb33HGi5caecpD5l05jFrN9vLvRYoPOl0cj8liHUciQOXuMwitnyJyfwKoWUs5g09jkr+15ybt7znBQkYmDQMcJu35hh0ASRDveL0zj8eYVf4sNCNskc2aMkX/97qZR3vJIZM6OU3j1LPUfHJ3tTvkeTr6KnS8RtRt4y3s/9zrRfW18kIayhSmI2wGqe/SQ7nYI2/z1Plv7TDfZKyjcCp08evheJ/vLPgrLxiyWcAaHkY5L8/OPHumau8HImOQmKuQmyzSuL9G8eTS+6yQOkZaNaRcQiIeyRD4MT+VqYpiCTEZSqRpYtuD9n3g897Lb5+VeuRwxc1+RaE2nrbl/N+bTDyP8IBVGaDY0i/MJYZCuorWVhJ/80OfDX0kCP0ED9XrC5c8ihIRuV6NiuH0jYmVZYduC2orizq2YditByPSakBrnTFYQBCnl3nY5yq6nuXI5ZOZBjGFAvZYgpeDK5Yg4BpVofE9jmILPPgmJ0hQaK8uK//vfdkCD52narYN/meF8De/qNKW3L6ZeZ+/Dyr+ckgY81DAbktzzJ/pyVdFqk+6deVTraEVSwrUovHyG4psXcE+NYhazqTjFYVRwngj0Fv6lI729t3hs85jXNxu/Jpw/Z1IqSaZnFJWyoNPRXLxg82AmBg3VisQPNKurikxGMjJsMDsfY1uCkWGDxSXF7bsxnU4vmjQkqZQl07OK55+1kAI++Szk3FmLINCUyxLLEtTr6fnKJcHsnGKllnDpWZvLX4VUK5KpSRM/SFhYTAs1nzlrcvN2TLerOX3KpN3W3L4bU68f/Ll2JgYZ+qO3sXtyoH0bNSGwx6qUvvEccb1D64OjSZ5K0yaJI7qrcwTtOok6iGHdxtYXqTTqI0RPpOLxQOzmMffCuE8imrsufvHQ8VjmTnlJreER2ym1OoBhlgLDcRC2QxI+GY3vuBMibYPuUpuwfsQiUSGws2Uqxy+hgg6JiumszhAcwmt+Kg1z6GtOv2YzOGry2a+6rNXUDjrOTlvTaauNdEO7pamtJn0Pa9fb/COKYGU5YXWl/5jWNinJdlvTbm8+II3G5u/Nxuaxe6U5lEqPbTa2Pmiaxtr292hq2/rqZ6fVkVIoSTckmFnBv7dI9uyxjdczJ0exj1XxZ5Z3yqpJQeb0GPZwuW/yh/M1vGszR5r5RjFL5d2XKL5+DmdyCJl1+hfT3jnjVpd4rY1qp5SdSRCie8pTSZQyJ+UvncDeRmTwSJAPV5U5EAS9MN92alj95KpEd0EuJ7n0nMXQoOTjT0NGhg0cG56/aNH1NaurCcsrCqVgpCColCVDgzbtTsLycsLSstrYsAKUipJj4wZLy4qzp01Wa5rTpy1GRySttiaTEQwOGIyPGTSbCYtLisUlhe+naSTXFYyNGmgNQQAvv2jRaWu+vBqx1tCMjUoyrmBkyKDVTg5lmI28i8wMb4RXVbub5kF7GyFpW2ROj1F590XiemtXkYr9oHWCNG1MN0uSKILG4b0knWiUF+KMFDEfZ7vUOuf2tmu1Pr5F64PrqM7jla7VKiF4sMf9P8xwP2rKSet9aWh1ohGOi1koEK7u3/d8FEjLJDtZIWp0H4HlI9X3TqIAr76AirrE/uFSLU+lYb51NSCONSrWXLscEPiav/8v7b7FZB1bv8uD2JHHtcs8ynkO+p4jjVFroqUG7c/u9hlmI+eSPTdB99b8Dok5YRoUXjmDkds0nkkQbRj4w0KYksq7L1H59iXssX6d2CSICOdrdO8spKpMDQ/V7qaycL2eXGLVa+5Pf5qVfEpk8JgM87rsHFIcqa0DUg9mu13WSpEcUfHqSGMQEIZpzcPkhMmxsZTUo1ySSJlw915qgEdHDEZGDEwLKiVJrDQLS4qV1YStaXYhoFySPHfRolSU/PIDn9//HZePPwnJZQSlUmpYbRuaLZhfUNTXNANVydioZHwsTessLia0OwmFvIVSmrERAxUrTh43cR1BPi9xncMt4OvpjiSM8a5N0/roJpkz4+SeP4HVEyIwsg7ZC5NUf/9Vlho/JVreWzN8l6tg5UrYuRLRIRfQjTMI8O6vorohKogQpnxkXXTo5V63e6M9ytvWhzceKbd+FCRRvIPjW8hHjxKIntzp3kg3wCnL3pOZb8IQSFNg5uxHSCFoEhWDEDiFKomK6SbzB2rFW8dTaZjnHsTMPdi6csDP/q6zI2T8W/QjXmvjXZ0mbnp9vMHZC5O0P7uzwzBL1yb/0um+gppouYF/fwnVPGRhhSHJXpyi/M7zfUZZJ3qjkKzz5X38OwspEUe4M1e7HcrbWWj1qBCWgTAMdHL4iS2ESNtWtnndOlZHlqI8ChYWFd2uptlKGByQLCwpggDmFwRBkHq0QajxvIS5+dRztkzoeJr6WrLDuV+tJdy5F2OacPmriLU1RbEgWVxKUmPc1ggUCFhrJLTamwIB12/EtFppkWV9LSGKNJ99EeH7mkI+5QpfWUmvOTevWF4+nLFKophopUn78zu0PryJ99V9vGvTIKDw0umNangjn6Hw2jmiWovV//xB+vwe2Djr1DBIY4Pz+LBwRlLGL600djlLEsQEi4/Oy7+uYd4HIdJe490KZZ4wdBDt5BaQ8pGjWgeq00g0SRimLHlPIkIlwBnIofxUqvMgVdkmFhqNQmELBxsXHw8VdQlaKwhpbuhfHwZPpWHeAc0G49dv8XDoMCacX6V7c5bCK5vSY2kl9CCdKw9IeqEvYRk441WcqeFNz1aDf28R/87u8nh7QdomlXdfxh4q93nKcb1F6/3r1P7rRwei3dsKIcUOI/iokFkH6Zioo+TEBJjl3I6dfRLGJP7jq8TdDzOzipnZNE0yPZP+3C39MbeQMLew/7hWawmrtYT1+rvjUwY/+0XAak3RaD583tVqCT/44U4vYHEp7BvTzOzR0jMAqu3T/vgWy3/xXkocAnSvz7JWuIyRdck9O5WGtoXAyGeo/u4rRMsNmr+4eqgaichrIqSJtBxMN0/s7yTf2AtWKYM7XkqfjSRlZnsshrkb7ny2BFgDxUNT7j4OKC/YkQsWpoGRfzQOe2GbyD16mIHNimzRi3w9AUjbIIkSDEfsyUK2jrysEOuQiJCSHMARWXztsRzP0F6618s3l1CHrMp+qriyDwPDyuAWh3DyA310Z1amSLYyjmln917UhcDJDxyYtN6wXEw7i+XmsTK7i3TvB8stkCmPYbmFPnUUIU3sbBmxztMrBHaugmEfvjdWNbs037+eVjn2VkJpW7inRlIe7B5kxiH/0mmkZWwJY4cH5q3tgxQYxSz5Syf7vG+tErzrM9R/+Onhz0mvp/Ixt0utF6IdCVKmbWXbDbMXEB9EqeoJ4nGkaNbTme225pfvB3sa5cOO6ajjU00P7+qDDaO8jvant1n76eVUpKJnKIQUGIUMQ3/8dbLPTh34exaGiQq7xN0W0rSwcocXSOjO1okbPjpOiNo+6kitNjuhWh5xs1/MBSFSEQnX3r9X8zFDNbw0/bQlkiUtMyUneoRNtHStfb8vI5vDyGZBJwjzCfiUGtr3VtGRIokVyQFSEUVZJSdL5EWZkhwi0YoRcxLTzpIpj+KWhimOncUpDBxqKL+xhjlbHmP8wrcZO/8NTCdtwBfSoDx+gROv/ksKI6eRxh4sMqbD+IV3yJZHD3S9THmUbPUYxeEzlEbP7f+GXVAcOcPxl/6A8rELGFs2BKaTpTL5fM9gC6RhM3LmTQpDJw99DdXx6Vy+tyOUlzk5irOFb9fIOeRfPtNXtBHMrBA8WD50H6awTNypYWTO6TOkquPj31nAv3v4fDWk4cnHvTM2yzmM3OEI5dchpEhF3bcZZtXqpjKX/w1Aa1he6c9BP5VQCc1fXaP+o89SsZPesy6EwB4pM/THXydzZvxAuU8VdBFCYlgOkdeku3r4ArK4E6C8EGmbBAsNujP1Q59j17G1faKVFqqzaeiFSOVdrYHir7XHGdI5rZoeOtosJBWmgVHKYeSPuOEV6YZqO5HKjmu3W4S1lVTFLbP3sUeFtEyscgZ3KH8gMZKEBEvYOMIl0B61ZJFEgFMcJD98gmxlHCtbOrA4yjqeolD2LuS+gnSlEGJHL1hr+Q6mk8UtbBobnSiWb79PpjS8s6Fb9GhHHtZPtk+srb18n76kqJBbjtdbztH7e/166cAAWL3/KU5hgHgbb2rkt1i88d4+Y9tynb2g9YbXXH7nEsJJjYh9bABnYgjp2uhYYVYLZM6Mbw5Ra7zrM6lgxSEhDIlVye3Iz0XLDcKlozGHScfCHikjDpDnOQzssWpKn3mEzYKwDLLnJvvIRLROeZOjlf82DPMGjFSQQqudVcFPC3QQ0fzFVaRtMfxn304pFHteW/bcMar/9DWSIKJ7fWa/M+GtzuKtzu5z3EMgwHAsvOlV/KUmcevxVkrH9RbhQg2zeKzv9dylEwQzK4+Xne8AiJabqJa/qfAk0v7mzLlJ2p/dPrB4yDqMvItZyu+fpxakoWxDErefzD2rIGLlg/sUzw7vEE/ZDbGOGDWO09VtpuMbKblVAl5tDq82i1YxVrZIsp/owTY8NYa5OvUCQghay3cJvQbliYtkS6Ms3X6foZOvUJm8xP1P/iNefQ6tDredz5RHGTzxMna2zMwXPyBo9xufwvApcpVxus0lGvM3drw/W50gVxnHW5unu7ZAYfgklYnn6dRmUGGX+uwVtE4Yf+67dFanUaFP+dgFLCdPEgcs3PwFQWv3UK6TrzJ44hVyA1M8+PQ/4W8T085VJygMnSDw1qhPf3mg+038kMZPL1N86+Lmwy5EL6c8RLTcIHt+si8MloQx3VtzhIuH3+kLKRFZZ2cXURgfSpt1A4ZMQ5GZxy/t5kwOYQ0dPhUhbBP31BhGMdMXslOtLtFSA9X6DdT5lmIj5y6ERFgmcbuLkXHQcYw7OUQwX9tsyUk0MmP3qo1T4QKZdUg6vbyjFD1KRwPdjRC2SRJEGFkH4doYGQfV6aJaXXScPBYpUdXu0vzgOkYhw/CffqPv/wqvnCGut0m6wd4tQI8B+bMj2AM5zLxD44tZ2q3D12k8DOF8Df/OAtlz/Ya58OpZWu9f/7UbZn9mmajWwhrcnEfSscm/cJLO5bs7yFf2gzM52JdmeygSvTH3VOfJzDenmiN7rIQzmMObXdv3+CV1nxU1s1EAJhDcij5DE2/4UbHf+c0lGGmv3GPo1GsEnZRn1jAsgnYNFXjUZ66Qr05x1IRK0FqluXCL8vj5vkrGhITC0EkSFeO3Vmmv7M74I6SBNCykMFLvXZqgEzq1aUbOvU1j4QZ2roIKPKQ0sQoDhO06K3c/JlMYYuTMm0x//je78u+GXoPG/HXsbLkv76xJyFWPEfllwm6L5uLDKQK3Q8eK7u0Fgull5JnxlNZPCOzRCu7xdCeYPT/RVynYvTGTCjQcgcFHa72zR5pUcecouSDpmFR/95V0QX/MxV9GziVzegzv2MChogNGIUPlnecRZn+FZTC9gv9g6ZHYxP6xaVzpbAAAIABJREFU4EwMpuFQ28RwrbSn/N4i+eeP0/zVdTQpFaZZzJF0A8KltVR6L5/BquRQXoBZztP81TWCmRXs4RL2aJUkjNBxQv75E4QLNcKFtbQa3pQkftALwRpHTnH0QUO00qTx3hXMaoHquy9t/Je0TEpvXSDp+NS+/1HaRrULDMvFdHOoOCTuHoHzWUPrxiLlFyYQhkxbih4jwoU63rVpim+e7wv32mNVCl97hrjRIZx/PKHzg8C/OUe0UIezxzaWZJmxKb5+jtW/fj+NHh2im8I9NYZ7YmTf48xSGXtwGGnbKPeIYfN9ELcDmjeW8ZfbBLX9jb8hLAqiQlYWehFDQSI0q7kmhmHRbSySG5wk6rbwGwfny35qcsxRt4lOFNKwyZRGQEjaqw/QOiEK2qg45KirX6Ii4tBLe8u2wHaLlI9dRAhJt7FwqD6zJImJuk2EMJCmQ35wCr+1SqIiMqWRnlf9LLmByT13SzpRREFnB9uQ6eQpjT6D5eTw6nOHlg1LgojWRzf7CAisoRLOxCBmKUfm9Fjf8Z3L948cdkapVLZtW8jTrG6TqzsAZM6l9M3nyV6ceiL808KQ5J49Tu6Fkwc+v8w6ZM9Pkn/pTH+Bi9b49xfx7x9eT/lpgI4UMutgDxaRWRdzoEjm5AiJSjCKWazBEtK1UZ5P3PAQppH2lWudFv8IQbzWTmsSEo2OE4Rj4U4N404NIXMuwrGIak3iRgdhW+l5h4rpeR7XpkslhHM16n/7Ca3PbvdVDRvFLMW3LlD6xnPIh9QWaJ1gZvLkhqZwy8NHHIPCruawB/MHarM5DHQY499fovPFvb7XpWVSevsihdef6ROgOSqEKQ9EFBKttlKveatspBSYA4V0Q30IQRf39Ci5i1MHWifiZgPv7k06N64QLBy+DuAgiL2QcM2jM71G1NjfHgzKcYpyAAuHrChiYJIROdCaTHkUy83j5Acw7MNVrT81HrPWCZ36HIblYOcqxH6L0Ns/lPAoSFRMe+U+wjBwC0OEXmN3I5oohDBAGilDUK9aWkUhraXbZMtjOLlKmlNIEpIoJKRJZ3UG0KjIP7SAuE5iOvXZ1NCXRwg6tT0Vb3aeQNP68AblbzyHWcqmnk7GxpkYJG50MMubO++40aF7cw7VOBpZQRIpgtnVlLnL3KzyNopZMidHcCYHCab3r8o2K3kKb5xn4PfSyf24K7LXYQ2XKb51EdX2aX14Y89iN5l1yD17nOrvvrKjOMWfWaF7Y3ZHxfBvCqJ6C25rwvXwtBToKEYrTdLx6d6aS41wGKcFN6W0Vax7ZwFpm2il0Uqlur5ap7q6q62UAGW+jn9vCdXppka9F+7WcUJspoQojzN3raMY/94iq3/5S8x8Fuf40AY1rT1SofT2s6i2z9qPP99J/SgEVraMnSsSHcVjJs3Fd2fXyAjx2HvvIfWaG7+8int6FGd8s8LXGipT/vYLyIxD6/1r+A+WD57jNSRWtYB7fBj39BjdW3N0b8zu22amY4X31TSZs8ewXj23yXVvmpS+8SzRaovmL69uymI+BM7UEJXvvUT2/ESfjOTDkAQ+SfB48/fboXvkKQdNl1rCJdIhMSEaTTNZZUCME3oN4tAjWx1PK/79wz1XT41hBujUZ6iMX8S0XLpr8+lO1s1TGDqJnStTGDyBFAbd1jKWWyBbOYaTLVEYOom3Nk/UbZIbmMTJVckNTKF1Qre5hDQs8oPHcfIDFIdO0jEsAm+NJA5oLtxEWg5uaRgV+7uGs6NuCyEk+YEp7EwRJ1cFrUmSiMbiTYZOvY6KAuKwSxx6dJtLuIVBDNtFK0Xkt5GmTa46TqYwiJQWSRzSbSwCmsLwKZxcleLwKQzTJujUSeKQTm0WFfmpBz504lDhbIBgdpXu3QWsoWLP0EnsYwOpGtKWamfv+gzR0tqRwtgAqISo1qJ7a57shYlUFYp0R585P0n5uy/S/PkV/OnlHZqtwjIwy3mcyUFyF6fIv3J2I6wVr3WQOedAk/YgSCKFkAJpGWnFriGxBot412eJFuspE1kQIwyJzDnYQ2Uy545RePUM2YtT/Tn5KKb9yW28G7MHzpUKx8QsZBGOlRIqWGYvxGts+WninhjZlDbcgtyzUwjLSNtVYpX+i9SW32N0nKDaXZQX7LtAaz8iXHh4CFS1tyzQQpD4IarpPTSnmQQR4UKNuN7aUQynVUJ01IjMAaHDmM6X91j9mw8Z/KM3cXpEN8KQOFODlL/1PPFam9YH2+pItE45rqVx9NSJAKToqZc9fvKLxAvwrj5g7cefM/gv30Zm7N6YBe6JYWTGxh4t070xRzhfI6q10uckUj0q2VQBzcg6G1rM1kAauXCODeBODbH61x8SPFg+UP939+4CnS/ukTkxkkY/SLsW7JEKlXdfwixm6Vx5QDifsvzpWG04B2a1gDs5RO6FkxRePoNZLZAEEVolGEdsZTSKGYyMs8EtLszNeSUtE0wDaRk4U0M7isyMgkvp6xdRHX/bfFIkcbw5z8Ke7vQWwpcERUiXWEfkRBFLONjCIQl9vNosVqaICruH3vA9VYY59tsYtkscdvFbabGGlAaG6dBZnUYnKaetlCaG6aAij6CjENLAMG1iITGdLN21BZI4SPPChok0rZ6RXgQEhuVAktBavoffXiWJQ7KV8Ye2V4XdJl5jAbeQ9kwHnVoaFteasNPAyVep3f+cOOigIh9vbR4hDSy3gFYxcdhJ2zHsLH5rhSSOemNLWWOEkHhrc+nYTAe0prM6g99aIfTW0hD/Afut+6AS2p/eJnNmbCO8ZFULG4IVWqciHO2PbxEf0Vtex//H3pv+RpalZ36/c/cb+8J9yX2vrauqq7qqu7X0SJpRy5A0AgzDGsOwv/mjYdh/hD96gQ0YkGHAGIxhSzNjzYzk7lZLvVSv1bVXZuWezEzuQcYeceOu5/jDDQbJIplJsjKrslv1AEQmgxH3nrj3nPu+512eR4UxrR9+hD1bQVQKo92uNVmi9NsvYFbyeDeX0pB3lNLVCUNHz7tYU2XcszO4Z6fQcy4qkYSrDXof3qPwtYtoY0fvK90PSatH3B2kVJ/lHJlLc9gzVbxbywQPasTtHtKPQNcwChnsuTHc8zPY05VdYVelFINby3Tfvf1Iw/ZpWJNlCq9fxKjkUmlL2xxKXBrbkpeWgZ5zMYZ0kztRePMS2edPpmxQwweFCiNkFG/zjIcx/Y/v491YOjp726OgFEnPJ3mUvN9w13xc8ZMnARVL2m9dxazmKf2Tl9LKfk0b9vJPUflnrxIPncgt6JaDTGJUEqOZxzMMmqlhj+cRAuRjxBiOi7jVp/Wjq1hTFQpvXETLOCkdphDYU2WssQK5F88QLG0SrjeRfT9lDRsKa2h2qhtulLKYlTzmeHGXkXo8JeY2ZN+nf/U+9vwYpd9+fhc5iHtmCrOSx70wi39/jajeRYVxut6zNuZkmcz5mREPftL3Gdxbg0SS+8qZY12b3EtncE5Nomed1DgPVbmEaW6vL8vAqOT3EJkY5RzVf/4masiyllIEp2tLhQkyioZG2aPz8+tp9G8Y7enLNpFK06wxIa7I0pedNM0TeMSBh5UtDYVSDt+G+swYZsPOYrkFhGbgd1YJvdS7Dr02mwt75b1Cr0Vv8/6e1xsPPqTBh3teH7T2VknuPG579VHKNIr26g3a22sZITQst4g5ZHUZtNdHOWq/uzFyLHaitXSN1tK1Pa9v7FOx3Vj8aPT/zvqdR4zt0ehfe0jxt1rY09XR4hwtRpWGsb3ri5+ZDF/FCZ1f3iT30mlyr5xDz7upRy9E+pD8nRcofvM54o6H9IJ05+pYaFlnFxWfihPC1Qb177xL9+1b2PPjGOX8kR4aByHueLR/9gn2TJX8axcw8hmMUpbC6xfg9cf3pqshA0ewVKfxnXfx764eqTXEnqlS/oOXsabKxxq/WS1gVg9RUS4EwXL9yRrmXyOoMKbx3XfR8xmK37iSOkJCbHNq//HXqP3LH6S95woMN4+Kw3RXc8zwupF1iHv+05VolIpos8PG//Nj0ATZ50+mUqpDpj1h6JjVfEr2wdE5EI6K4EEtdYLGCmSfO7nLyBulLPlXz5F/9dwjj5EMArxPHtL64ccY5RzZF04da63nv3qB/Gvnj8VRoFkmztzYY98X1TsED2tp0egw5N2WmyPFOiUVOVGkoxqYdhYrXwWlyI7N099cPBKb3DNjmDPFKYrTF/F79TTEu0OTF02DJEHYaQ8uUg6rozUg3fVh6Kgg3O5HFjv+tgXB3t935oM0bfu1YQ/19jl39HMKgW455KfPUpg4R2v5E+LIA13b7jdWPBP9n3G9g39vFffMJOandp4qSeh9eI+o1T+2qMNOyL7Pxl/9BGHqZJ8/hZ5zdoXM037nHOyzG1RSIoOYcDUt4ml8912QinClgXN6/9DuUaFnHfx763gfPwCVtpvoOedQko1KKlQYEW102PjLt+i+e2dEb/olnj0kbY/G3/4KPWNTePPS6IGtZx2Kb1wiqrVo/O07JJ0BYa9JEgzQDPPIgvbpQQXOdAkZxBg558mpoe0HKQnXW6z9xXeo/skb5F+7gDVZTkPbRzRoW8WaKohIvCAN5R5ht68SiXd9kY3kJwhdwz07jZZxtnPOjzm37Pt4N5ep/+2v6H24QOGNS8hBcKTisS8aWVEgJiJSIRYOpnCwRQ4tZ5GtzpFEAYad28VOeRg8M4a5U7tLpzbMoRo6Ws5FGHqad8i5xK0umefPEC7WkGGEZplorj0ymuZkGe+TBbSMiwpChGmgkiTd0QiRaubqWto0PiQF1kyDpDdIe23NlO9Vs0zibh/NdZCDAPfyKeJaY6iCFKU239CRcUI3WKR57UZaCGMJzGwpzUckaY5C9r64kN5O9K/eJ3P5BEa1MFowSilUlND52Y0nyvMcLG6y+r9/j+p/9BqFr19JPXp9WO356cWqVFrNKyVJP/Wc6//+bbzr23n+wZ0VnLNTIw1YFTxe/OIgaBkLYeppTr3RJVjcoPxPX8EcK+w/xqFzpRKJHAR4N5eo/asfEixuHCuPmB4nfOJSfXvOE8ZPxNH6vKGkTPPYO66P9MMj98VuIVxt0Pjuu2i2kbLc7UDlD7+Kv1BLCTFiRX7mHIaTo7tym7C/u+hUDoLdY/KCPaIlvXu1ociJRfQ5hPKTfkDt//oR3XfvUPrWi+S+cgazkk+JYYaKXHu6S7c2C8OqepVIVBjh3Vyi8/Mb9N6/e2S1KhUleJ8ssvw//Tuqf/IGxd9+Ps0T77uette7HES0fvQRze++m+5AVUq/6j/cwDm5XRmv4uRQ610GEdJ7OhrNo3MMhnNxx3jK+iSB8ohUxJg+Q6gGzGlnudZ8e1gMnGC6hSOFsQHE4zQwPw8IIXYNQi/lcC+fRsvYeB/cxrl4Is3FuRbBwir2uTmU5xNttIhbXWRvgHNhnnizTe7NF4g3moTLG0SrdfRSDvvUFMKxiTda+Dcf4j53Gr1aQPkhg0/uE6030srMyQrWZIVkEJB99RLhcg3NMtM2j2KWuNUlrjWJmz2SRgf38kn0SgHZH+B9eAdzsoI5O4bQNMKlDfxbDz9X1aGDIGyTqf/y9yn/wcujQiqVpJ73vf/uL568oRCp82JNV8k+f5Ls8ydxTk5glLJobppDTwYhcatHuNJgcHuF/tX7+AtraU5sp1HRtbSIY8uhkPJQ1zRzeZ65//pPsaa3iQtkELH0P/y/dH52fTRGo5wn99IZci+dwj45gVkpoA1VgpKOR7DawLu5RO/9uwxuLafFNMddM5qWFnk94d7sT2PLMfy1663WRFq486l8voqTI7NJ7TqmoY8cu51IJQwlaDqF2Qs4hTG8zSV66wu73ids81P3LG0N27m7NEsu+cszWNUc3eur9O9+Ti10WrrpMKoFMudnyVyexzk5jjleSrsxLAMSiQxjEi8gbnSJai2C5TrenRUGd1ZTR+OzXGNI15NpYI4VyL92gexzJ7DnJzDKOTRTR8UJcatPsLSJd/0h7V/cJNpso4J4ez3tc/9H9+hxpzeNJ5LuehQUChUmu5St5o0LRCqtyM6IPLXkISfMS1wP3z7cMZXa92HwzOyYd8KoFjHGi6ggRC/nMCbKyHYPzbWxTk6iZ2yCWhOUwhwrIjMu5vQYeiELIm3hiNYbKKkwxkoIxyZp95Cej17KYU5XU4PeTvmkhZ6yHhmVAubcOHoQAhIhBJprpWGehz2Sdg9hW1hTFUIl0cdKJK0ustNHcyyM8RJCaCStlG1IGMYzYZjTMDy7HtSJF9B959ahaOeODJV60sHyJtFmm84vrqcLR9vRJzn0nLeqHWUQ7l8VnsjUs38CwxrtJHaMMdps0/7pNbrv3Npe3NqQAlWmD18ZREg/+uxMVVKigifzXZ42Lr7y52QLU2mb4KcQBl1uf/BX+F6Dz2L9dcOhNH6OubO/QxIHPLjxPXqdFaQ83JysTF5hcv5VMvlJvO4a9679DcHgU8V4ctju9YjjaLqBblhourVvyFEF0WO/ZTKI0Cw9zaQ9IUnCs6+VCQcJg25MpmCgmxqZgklzbUASKibOZOk3QwIvIVvVKc/1COs3WHv3fcqXilz9wcY2na9SzD+XxzCgt+LhOBpaP+Dcmzk2FtLq7nzVIujHDLox1XmXwpjNzZ/WSWLJ6VfKXP2HGidfLFKacohCSWvVRyaKwrjFxn2P2oJHuNai+f0PaL91bSixqo3SiypJ15MKIpJBuNfgSnWoa70fVBSjnsKjDMC0c+lcO/FVoqDHwnCeKSWJVcy4PoevPNbjB2lWVbPIlGeQMiHo1clW54j8PkFnk8Oul2fSMEerdZJuP/X0BsGQND1OCdulAl2kYQup0pBJkhC3uiBlGmYOIpKuhwD8mw8Q94xRL6aSku5PP0IFMSreqmZNUIkkWFhJd89SpSxFQZSGxIfepIrjNGeqa+nk6nhpeHtYTp94fjoJo3hUKfsswDkzhTVV3pVLlZ5P5xc3jh0mPBQSifSCpx5iOjT2802lOnCMbm6CsemvkC3M0msvsnT3Lbb4zKvTz1OZuISUMfXVa7Q2b+97SkOz0YROMnxqaMIgkRG6ZhInAYZuoQszbaFTMbpmItDwwga6ZpLIOP2bjMjaFRIZEcsQpSRSxWjCGOUKExWiC5NExSiV4JhFLCODFzaRMgYURXeaXrBJMvzdMfMIYeCFzWEPf3os087hZKvo+3Qq6MPOiM8Ky84xPvMSudIcSiWUJ84T+G1C/3BtVbrp4GQqZPITJEmAdsQ83haEEMg4JA56Rw45bkGGMe0PlxCGRvwIZanS+HnGZl5ECI3NlQ9p1m4DCtPKMjH/CqXqOXrtZVYf/ALL1Zm9nGftTo/WWsDYvEVzdUBrPeDlb08SBxI3byB0weYDj/q9NtmyhbfUwjylEa40dp1bzSqmruSxQnj4cZPSlANSMXelQNCP6WwENJYH+P0EJ29gOjrdeoBuamTLJkITuAUTK6Nj2BrhwCTsx1gZg+kLeWoLHkiZVoP/BtVfOJkqY1PPkS/NkcQh5YkL1JbeJ4l96nKVnmySkOCrPgLBklqgMHsRTTeJhp1G3dU7BEdwOZ5Jwyw9H+ntzuk89jP7TAQF+5JmxPvlVBOF7A2OlBfeOUaAJPj8NHmPguwLJ7HnqqMWJhlEBCsp/+6zUKD2rCKTn6A69RyZwjSWk2d98T2iIO1HLE9cpDp1BRCEfvdAw+xaJXQtLQZSSqa9+bpNlAxws/PYRm5kOP142C9vj5FzxjB1lyDuI1WCUgmWkcULGuiahWVkkDImVhG2kccyXJIkwDRcmv0lvKCOabjknUks3SWWIYkMcazS0NAnJCrC0l10zUIIjZ6/HX5duv1DLCePbtjoukW2OENx7Cy2czzJ0/0gNAPLKQwNqo5hZY9tXD/jSNBMB82wjsxpPIKCqOU9ljW4PH6BysSllK/Aa9JpPCSJfQwrw8TcK2TzU2SLU9TXroEI8FqpQ1eaSovXuvUQvxsThwqhCbxWiJ0xyBRNdENgWBq5ikV51qUy69JcHYy0cYSAQTcmDiUTZ3IUxlLZSDunIxPFoBvTb0VEviQOJIYpsHMGtqtTmXWozLgYljYUNoFc2STJpTt58XQYMo8EJ1PBzU0QRx79zuoeNsXjQtctTDufOqN66rSKIX2yVAmW5uCILD3Voi/bCCnpby6i6SZxkPJkf7pu4XF4Jg3zl3hyMIe5p519sXG7T/+jhSPLO/5jg5IJSRKBkkiZ7kK3IJMQqeSQaObgyIipu7hWWg0fJ8Fot+yFLUpGutiVkui6iSHtodHNAgIhNGwjS5QM0EQG03AIoh6G0MhYJfyoQxD0sWwH28iRaCm3+Ejla7gDNnQHy8gOw9IS28jDsH8e0jyurWfpo6FIn+JbjoamGWiaSWXqCpn85BM1zEns02stkSvOksQB/c4qcfz577SkTEBJhNCPXD27BWFoOFNFrEoWf61DUNuflztJ0miHkslwTqXXWylFEofpZiJO37Ox0GddpmxUdlYnCiR+L0ZJxcJ7TUxXZ9CO0A0Nw9YwLI0kVnjtiIV3W0TB7tRQfWlAuxYQ+QmZoknQj4kjhfHAIw4knVpAEqWOeqcWoBQkkSJQCXd+2cTvxaze6qIZaceLNizuklKNGLO+SBQqp6hOP0+vvYLvNZ+YYY7CHv3uKm5+nDjs02svj9ItRW2MjJbHIOXMDpRHkSoPNm6iGTZKxsg42vXsOAx+Yw3z5LkcQT+mWw9Iwic7aYQG2YrF5Nkcd3/ZYPJ8jn4zpDjp0N0I6NQO3uGXZ12UVDh5kzhIqD/0yJYtpi7mufPzo0suPg7Zr5zBnh1DG7JxqUQSbbTpvXc0FrEtOJkKSqVELygY9J5ukYuTHUMmEYbpprvK/uOpPZ8U+t01aovv0m0+xOvWiKPtaEp97ROi0EPJhE793oHHCOIuQqSSpbEMUyOvJEHUpT1YRamEMO5jGhnUMLzcD+pEiZ9eZ6ERyxBdszFjmzDuI4SOUhI/6uBHHbp+augVqQPhR10UiiDu0xmsjXbppu4QJoNRlMTQbZSSaXg82X/OShkjZUwS+0d+uDwOUdhnY+VDpEpIIp/25l3iI/DVPykYtpsWzMkY3TyeVrc25AgwCi5610fo2r5pombtBkomCKHRrt8bGY847LP64Bf02st43Rqh36H/8ODoXW3B29v+uQOt1b3Xcedr7fXh/T7gGO1aQHvHc+yTH31+6+54EOTK8xSrZ4ijwbEdrP3gD5psLH9AFPSIQo9O48FIdyGrFYhUQMAAV2TR0FOubCFwy9OAQsYhQa9O7B++4v031jAXpxz6zRCvHZGET/aBohsa1bkMr/7JLHd/2aA07SBjRXU+QxKpRxrmXMUiiRXFSZugl9BYHlCedXntz2afuGE2qnkKb1zEGNsmiE+6HoO7q6ki0jFg2jmkTDCtLKCeumG2nDxJ5GO5RZI4+FwNc+A1Wff2ktsAtDfv0t58vHPTD+r0g/3va2ewTcQfxIcnH/g0uv7+Kk1h3CeMPxuj29OETCK6zYd0m/urun0uEALDzpLEQcqVfxQ++h0wSxlUnBBs9tBMHbPoEjb2Xvtuc5Fuc3HP63E0YGPpfTaW3j/8SZ/EfuOL3+g+EZhWFidTwTimY/UoJJFPa+M2rY296aqEGIGGKQws4eKKPImQmE6O3HhKCy0QtFflr7dhzpRNbNdAtwSaJhh0InqNkPyYneYyNBi0I/x+jJM1cHImSSzRdEHoJXjtiEzJpLHoMejExIHEdDQsVycOFUE/BgHVuQztdR/T1bEzOpouiAKJ1wpH4ZxPw8kbuHkT3RJkSttFMas3uuimxtLVNn43xnL19CeTem2aLuhuhiCguTJIQ0I3O7h5k/zY7uRMtmyh6aRjD4+Z7xKguTal33kB99wMupueQ0mJ/3CD7ju3H9vnqukmpp1jiyY0iX3CQYdBv45uWCTRgCSJhuFQge2WkDJECD3NfUYDNM3AMF2E0JBDlTB1QNhX0y1MK4MQGgqIgh4yiRj0NtB0k6QbkCRhqhssNEw7n35PzSCJA6Kwf+yH6pf4x42w3yIOPDTd2KNAd1i4s2XsyQJC01BK0ddr+xrmL/F0kC1MYVnbud/PCwPZo6BVcbUcJhYlbZyObCA0Hb+7iZUppiHWI9byPFOGWeiCF//pFLOXC+QnbLIli6vfX+dX/2aJr/9nJ3FyBnbW4OZbG9z5RZ2zr1e48I1xGsselmuwfK3N1e+vc/7NKl/9szmu/cM6H393jfyYzcmvlOls+lz/4Qa2q/Pt//YCf/c/32Hu+QIzVwo4WYPG0oCPv7dG7d7eBSU0wYWvj3H+zSpJrEZdN6aj8Y1/cQKnYGLYOvd+1aCx5DF7ucDc80XCQUK2bPHuXy8jY8X46Sy3f75Ja8Xn0u+MU5l1ufnWJgiB5eq89EfT6Ibg2t+v01g6IJQl2GY423m/hz2NetYh+8Ipxv70TfTCNmNW0h3g3Vymf/XB4+4E2cI0U6feQKEojZ2ltXmHpVs/oDRxkWxhCk3T8Xob1Fc+RinJ6Rf+hG7jPqadY9DfpFW7RSY3QWn8HLrpEEUDNhbfo9/eX64tV5xh4sSrw0ksWXvwNoPuBuNzr+DmxtA0g35nlcbaJwihMX36TYTQyBZnaNZuUVt8l8D77Jq0mmaiGalAgExi5DAn+CjoujUK7UsZkcTbERNNM4ZtONowZx0e2oEQmjHaASiZkMTBI8cihI6mG2muVGgj9jqlJFImw7DpF7dF0nQLXTcPlHtM4mBoGJ/GGAWabqIbQ4daQRz7qaOoJG5pMuXZb64RHbFQB8B7WEezDfRMqtSV+FsGXgxbsdJU0uG+o0gdWk1L710cPrKOYftjGpqmD8U49LTWYGsOoIb1EAlKJo9MS2i6ia7baWokjkb5VCE0NM1AaFu9xmkcfCtnngyv5eOHaQw25gYwAAAgAElEQVSPoyH49DyND3V9tr9n6qgXKqcw7exo/JaVPXATkET+I6+nbthpodcB8zSO/NGxG3KNvuyQ1QrowsCTHfqqAxHY+fS5NWjXiAb71xwchGfKMGeKBpmSya2fbdJe8zn5cpnGosf0xTyWq/Pd//EWTs7g9f94Hq8d4eRNwkHMr/7NEt1aMGLD/PA7a5Rn3VFF4+YDj1zV5twbVW7/tM6Jl0rcf69FYcImN2Zz9e/WWb/T48I3xnjxD6f5/v+6l5u6OueSH7O583aDu7+sc/6NKpe/NcH5r48RhZKf/W93kVLxyh/PUp528PsxG/f7/Pj/WGDqfI43//wkt36ylz97OGQMS+OrfzaLmzP41b9demQ4XM9n0LPOLhWhLZUm99wMhTcvUfjGlT0N9/2P7tP5ybXHNuzrw91yFPZZuvUPzJz9JoPeBtnCFLpusv7wV/i9OuWJC4zPvczG0gdYdo762nX8/iZKxrjZMexMiXbjPq3abfKVE0ydepO7H/7rfc9p2nmEprNw9W+IQw9QlMbPo2k6awu/IPDbVKcuU51+juU7P2bh6n/AsDKceeFPqa98TDB4MhKhE/OvMHvmm7jZMTZXr7J090f0WksHvt8wM8ye/Sbz575FFA2or13jzo7vWJ1+gdmz3yRXmKHTfMDSnR/SWL/x2HHohkN58iKXXv5PAWjXF1j45G/otZcP/EyxeprK5BUKlZPYmfIwmuDjew1aG3eoLb3/mXuPPwvmzv4WkydeP7CA7O7Vf8fGykfE4ZPfaVpOgcm5V5i/+HtpVCeOuP3RX9Gs3UQlMULT0J0MmnW88uKo6yPDBGc2S+fqMt5CutZtt8jsmd9i5vTXAVi4/v9RW3qPKDg4dWG7RS6/9p+TK8zQ766zfPctakvvPmYEAjdTpTx5kULlNNnCFKaZSaNNsU8UegSDJt3WMu36PXrtpQP156dPvcH8uW8RBj2W7/6Y9cU0nZPJTzI++xLF6hmcTBVNM4hjH3/QoFO/z8bKh3idVDHvwFFqBuXxC1SnrpAvz2E5RYTQiCOfQa9Gs3aLzdVHr2fLzlOaOE++OEemMImbmxhG29II5fjMS4xPv3jgOG5/+K9ZX3z3wL+fuvxtxqZfwNxHQzlJIm598Jc0azeRSVo8G+ARyN289EI3aS/fpL18A91yUUcsRHumDPOgFREOEs5/fQwl01ztxgOPM18tM/98kT/8by6knm4oCXoxMlYM2hHdjWB3pGBEa52+GIcSvxcRh5LcmM3ZN6q8/+9XGDuZZeZSntkrBbxmiFKwdmt/ea5M2SRJ0lB30I9p1wI0XVCZd2muDIh8yaAboRkCp2DSXvfxezFJrPC7CZb7KcanHWx1pq0xfSFPadrh3//3N/Daj7iJukbm8jwTf/47GHk3/Z5KAQKhpyxHmm2OjPLWOb0bS7R/fh1/cX/nYCeSJCKOBthukfmLv4flFNlY/pB8+QRxNEjlLaMBUsbDcLdCJhGB1xh5kqaTI1OYpuQUKI2ndIiPWmy91iKG5XLquT8i8rss3/kxdqZMFPaJY5849JBKYthpdbluupy49Aes3f85vtd8Ym1fYlgNveWNP7b/RQw/s+W9f+r97fo9KlNXyBXncHPjFMfOHcowm1aWysTlURFLa/MOYbDP3BQC2ylx6vIfUqicwjDd4a45HbtuWJhWjmxhmon5V1lZ+Bm1xXdTbvfPGdvVz9oBu5FPX70nA9stM3niNaZPvYEmDIKgw72P/5pW/S5JHKBbLoaTS9ulkuOlQ4QQdG+t4a+3iTs7DZ4YSUpu/f7YOQW75uDjiOJst8zk/KuMzbyE5eR3R01ICVQMK4uTrVKonCJXmmXp9g/oNO7vf24ECC1tE7KyaLrF9MmvMX3qjVHbUMqklir1WXYeyy7Qqd9nIGrsxyYphE6mMMXJC79HvnIKXTeHO+90jLphY9k5cqV5JuZfGc7T9/bd2TvZKrNnvomTHUMbXqet65yeax/63099w0chjWipfeepkMlh7h66aVM6fZlBax23OInXXMFrHOxUfxrPlGFOtSkEqze73P1lnaCfEPoJ7ZpPc2XA23+5RNBPjV2/GTJ+OouUh4qe0FkPWLvV5fSrZeyMTnczwHJ1Wqs+a7d7LH7UQkpF2N9/YQb9BF0X2FkDw9JwC0bqPKwHlGcz6KbAyafi8aGXIBM1NJqpAIIQgjhMewM1XeAWDNzCMLwVKTYf9vn5v3rIS380Rb8Rsvmwv+/3EoJUvqyUShcC247fATPGf1Cj+Xfv0f/w3iFp91LPJg4HrD14G5TC95rYTolMYQLdsIYLSycZVior1K5FFIcDgkEr9YLXb6Sk9Y/wGkO/Q331Gv32KsWxM1SmLpPEQdrnOgxBCiFIIh/TylGeuky/vUqvvTryXJ9FhEGXXmuJQmke2y2SLUzjZMceU8QmsJw8pbGzwzaagHZjgejTO0mhkcmNc+rKtylWTqMbDlHQpdNYYNCvD6vZM2QLU+RKczgZh7mzv4UQgo2lDwiDo4XXPitqS+/R2riNbjoYho2TqVKdfp5i9ekpITmZKlMnX2d87mUM08HrrfPg5vdpbd4ZpRxkEhEHA3TL3SW6cmhogtz5STRTxxrL0bu9nvY0fw7I5CaZOfN1KpNXhv216Rrp91YIBi1kEqGbDpZdwMlWMQybJBzgdR9ftCl0Ayc3xsTcy8yc/S0sK01T+V6dOPbRNRPLLeFmUn36fmdl31RLGmo+yfyF3yNfPoGuW4R+m27zIf6ghZIS086RK06TyU+RyU8yd+53Adhc+WhXagjA9+os3fkRurFd6FWdvkKhfBLDdOk07tNYu04U7Z8KTB2Sgx355Xs/YWP5g7SH37DJFKaoDglGDgUh0M1Uvrg0/zyD5sqvtx6zldExLI3ysJE9DhIaSwPWbvZovTLg7NcqqERRXxqwdHV/diAro3Phm2PMP1+kOp/BtA0efNCkuTKgseTx6p/NsXqzS+QnbCz0qT/0KM845MrjeO2IlRtdeo29D/rWyoBBN+bEkJLOzhlEgeT+e02mL+R55U9m0U1Bvxmxcb+PkzP23Pv6ksfM5QLP//4kXjuiNO0yaEcopfC7MXd/1SBbtbj8rQmu/f069YeHXNz7GGSlFCSS/tX7NH/wEf0PFx6tpbvzcJqBZtgYlktl8hIAod+l21zCzY1RmbqcEtHLiGbt1r7HCLwmg94GmcIU5cnLJEmI114l9PcaAyF0cqUZCmNnEcNCsn57hUFvk+rMC4xNP4ci7fPsNh7g5ieZmH+FbvMhE3OvMOhv0GsufSG7wMdCSbrNB/Srp3GyFRy3TGn8PGuPMMymlSVXnMWy037jdn2BYLC3YthxS0zOf5VS9SyabtHavMPG0vv0u2tp25GSCM3AdgoUqmeYO/tbWE6RqROvM+ht0tq8/cR6PQ+D0O+k919oaELDzY2TLc4+McP86Uetmx1j6uTrjE2/iGll6bWWWVn4Ca2NW7vrAHSTrajPsSIvIiUXkUFM3A+Iu59Py5du2Eye+CqVyStYToEo6NLavEtj/TrBoDWqSRCaMUpPWXaOwGvtav07CIZhU6icIl+aQ8Yh9+99h35njThMSW+E0NB1G9POomsm4QHh+Ux+iom5VyhUTiIQNNavs774Lr5XT++DUmi6ie2WKU9cYOrE67jZKjNnvonXWafXWd4196OgR7N2c9du1s2NkS3MYJguvtekUbtBcACDXPIYdrdg0CQYNEdRizgakCvNkedwhlloGk5xIg31h/2UI/+IDt8zZZhnLhfw2hHtdR+vHVGecTn5Sok7v6xz9fvruIWUFq5XT5vkFz9uU7u7exchY0V7zefj762RxIruZkDgJSSRIg4l2ZLJ3bcbxKEi8mMW3mlQnHIwbH3IE7v/gyrwEh5+2KLXCFFSkUSShx+06NQCbr61gZ010AxBfdFj0I5wi+Zot9xrhrzzb5eoLw64+ZNNnLxB5Ces3e4R9GJaKwPe/etlQi/h1lubjJ/JptXj+0CpVFc4WNyARKZyb1YaWlJJqs4Tt/qE6038O6v0bywyuLOCPKRRhjTHZdk5OvX7+F5aYVidep5O4wHt+kIaLtN0wqCH11lHCI3VhZ/t4ghOkpBec5E49NB0CykjovAgw6mIQo9BNw2D9Ttr9NrLxOGA9uZdTDtlhAr9DoN+A9PKsLH0/ig0HvndwxXHfEHwuuv02ysUq2cwnTzl8fPUFt850CjabpHi2BmEpiFlQmPt2jDvvg1NM8gUphibeQFNNwkGLVbv/5zWxh2ST5F0+P1NgkGLTG6M6tTzuLlxyuPnGfQ3GPQen9p44hj2cidx8OTumwJ2RGxSo/y1NFdo5+g2HrD28G0a6zf27MAQgrDXHIbejhFMl4qg3sOu5jBLGeIjrLXPgmLlNKWxc1hOnijs01i/zuqDX9LvrO5bYCiEhjaiWH28A6LpJo5bIgy6PLz5fZq1m8M1vPuz6XHNfY+p6Rb58jzliYsIoeF1ayzd/THd5sM9xVmD/iZx5OFmKpQnL5PNT1GeuEjgt3Y59ErJPY7FTqdKypgoGuxZM0eFUilPfxIfvmBzOADCfhPdtAm91DlQR6z2f6YMs2FpaLoYhYCTSOK1IpJI8fDDvd7PoLPXQ4tDyeJHbRY/2n6/WzCZf7HI5NkctXt9GoveyDHeuO+xcf/RNzAj8sQqpv0gofvAQxMaGhqx8jFx2PwAYjVAIdGFgUGOXj0mUgGuKOB1O1z/UfoAvP9eE4csCoUkRkNHobH8kxgLl2BDsLYZk2BioWEJBw0NT6Xf1VEZgqU6wfduIyqbCNckNpM05yPBGzSIWh5RrYl/b42kHxx5F7DlKabhaYWGIAp7KJngdVbxOqt7PlNf+XjH59N/g0HrUEVZSkn8fh2/v7fft99eHinYbaXTk2iw671bBeo7ETW6NP/u/V1V6UoqwuUnT+LyOMTRgF5nBa9XI1+aJ5OfJFeYpdO8v+e9Qug4mQr50jxKSaKgS7uxsCdcb9o58sU5nEwZmcS0Nm7Tri/sMcqQXt9g0Ka29D7liUsYukGhcopG7cYXY5ifAhRy1Oo0Cl/PvIRhpaHNtYe/orl+nWS/tIeSqQ6zAv04xV+KtABT17Yn6ueAyuRlbDcVzum3l9lY/uiRhYpKyX3nx0EQInUMm7VbbKx8eKBxUkMnaz/YbolccRbbLRAGfVq1WwcS8iiZMOhtsrn2CZWpKwCUJ85TX7+2b6TtWYVSimjQQzcdhKZj2Bliv3ekcPYzZZjXbnXJFNPeXjdvEPRjbv30s7fAGLZGYczGdHSu/7B25GhVTpRAgK9SYQxT2EgkMCAj8lg4RCJIDRkSC4eEmB5t8qKMp3ZPqqwoYAgLX/WJiTAwyIji6BgCQaA8YhGRE0V0YeAnAzShUxRjrNTvIn+6SiyaSGK6solAwxAmdbnXaB4Vod/B69bIl0/gZCtomkF99Rpx5LFTPU/T0h+lQNcFSaxQgGUKCgWB7yv6fbXVAYWmwRaduGOLod6HQhPp3+IEDB3CCCxLYBpgGIIkUTiOII6h05XoOiQJGLogihUTYxr9gSKJ09cTqdDbbTr/4WegFFEMlglh+MXJFPc7q3QbD8iX5jCtDNWZ5+m2Hu7JyZl2jkxhCtstksQh7foCod/Z8z7bLZIrzgAi3VWv33hkrl3KmG5rCaUSlFI42eqQJOY3A2pIjWq7JaZOvs7E/FfRdZNO4z6rD345rKLdP0IhhIbhZDHcHHFwvIpwYejEXoDWHiBMHT1jkXhPr/ZB002ypVl000mJWlqLdFt7iUs+K+LQY3P16rE5AtxslUxuAkhz380DOOW3kMR+uuMfPqQz+UkMwz3Wub8wiLToUmip3KhbniYOPPzO4Z3gZ8ow9+ohH31n7Ykft7sRcO0fPhtDVUbkiYmIVcpn25dtYmImtHkCBhjKxBAmHdlACYWGDigMYaKjk7BjYgtwRBZJQqQCDGEhSciKAiE+XdnEU10kCTYOBjYxIaayMTHRMdBGvMbDSkQEBhYaOpLPRrSRxAHdxn26+1Rtjo9p6LogihSZjKBc1Bj4Cl2H1bWEXE4jChXnz5p0e5JmS1LIa/h+2nN9936MlDAzo6NrMPBTw6zrQ2lcDTQhqFY0wlBh24KNDcnEhIZlCTY2EjIZQbenMAxB35O8+JzF3YWYJEn7ywd++jfbEpgmdLuKSlnjzr2ITld9Ibodgdek114iCroYVo7y+AWWzB8OC7q2B+TmxiiUT6SRgThgc+XjfcO9hpnBzmxrTeumM9plH4St6tX0887Io/91J2ZRKi1W1A2H8dmvMH366+i6Rbf5gJWFn9PcuHVgTyuAMCx0OwNCQ0bHM6ZC11KSkYk8cTdADqKnapgtp5C2Q2k6/qBL4LWOtBs+FJQiSUL6nf25Bw4Dy85jucP2OCEwrSyFyqlHfsZ2S6RrIu3n1g07JR46rsDI5w2lSKKAoJtG50wnTxIFHCWc8kwZ5mcVkpiWrAECW2SICEhIUEi6qomByUB1MbGxhYsuDGIVYeFgYuOIbNp0PjpeQlfVSVRMXlTQhU6iEiJCEhWTEKeEAKS3UcfAxsUUFoawcUUOSZKKKAAaOpawsYSDLVwG6vj0jo/D+bMmk+Ma7Y5kbEznxedMahsJzZbib77r8dWXLd5+NySRMFbVuXLJ5NJ5k/UNydp6wtpGQq+nOHfGwDIFriPo9CRxrCjkNVbXEr7xhs34uM4PfuQTRrC0khDF8PwVg2++aZPJaNQ2ElotidAg4wqWVhJKRY35WYNmS9JsSq5cNpme0un2JONVnX/5f/fp34mIv4B0tFISr7dBu77A+OxL2G6J0vhZ6mvXRztdMayyzhXnUkWaoEdr8/a+hlPTLQwz3UkYpsPFl/+TI49J18201/nX3DCDQjdsyhMXOHnx90cEGO3Ne3jd9UcaZRCYbh7DzaFbDtoxKR2ToQxtf6FOsNYmeqoFYALTyg1bltJiqMMUcx0VijS8/FlytWllc3pN3WyVS6/+i2McI+0AeaoStU8SIi0AK80/h6abhF6LOOhxlBzHl4b5ENjcGR5Wn/7b8oF/A2gme3fqTbn9Wls9OufZVpu0VVrBO1DQiVON1a76VIj/c9oFLi7FTIxbXDhnYtsCPwDTFORyqSE+MWdQ25CcPmlQKWvoOjTbkqWVmFpN4jqCXk8hgLOnDfqeIooVSgk265LrNyNOzBl8ciPi7kLM5YsmJ+Z0ZqcNbFtw83ZMECpsC+oNydSETqWkkc3A5LhOJiP45GbMw8VktOsOAsWt2zHrteQpGeXDFQwNeps0N24zNvMimm4wPvcKrc17I8NsuyUy+SlMO0sY9Ghv3j0wdyc0bcQmtbVjPN4keBqdw58/3NwYpy5/exgVSKMiUye/RuC3qS29d+B1BMWgsYLQDURBHDuUbeQcoq5PUOsSd568kfw0dMNm694pmSCfsMBIit0tkMeB0I2Rdvfx5+nher+fGShFNOhQu/GTYx/iS8P8JY6EYkFjZTXh3fdD6g3JxLjG5UsmP/pJQBAo/uL/7BFHivc/DFJZONJlKBOFlGkeWSn4wY99fvLzAKkY5ZOSBOIY/vpv01x+FMPSckwi4f0PQzRNIJXaYvBDqjT0beiCMFK8836IJtK8c5LAd/5+gCbEMG+f5q6fNI4iFZjEPl63Rr+9QrY4S2nsLLZbIg49lErIFmfIFqcBRlW2ByFtV0u9DJmEPLj1fWR8NMrNVCXn82uXenoQaJqJkpLN1avIJKI6eQXDyjBz6uvIJKK29N6BoVAlE7yNB3ibi4cjRdgHcT8kf3mazHyF7s01/JXjM9GlDtejDdFOelVN09HEF6Fj/Xik8papcQ/8Nst333pMBGMveq2lI3/mi4TQdNzyNCpJ8Lub5MZOEPld/PYGX4ayv8RTwZ2FOC3aChVxkoaZ6w2J56UTbjBI/41ieNQkDCMIDxALCbY2NwKScOdhDnj/rte3/x+Gjx7DfjiqP68bdsqTfUgEgxb19etki7OpzvHERcJBiyjsky1Mk81PIpMI32vQeUQxj5RRSu7iFJAyoVNfwO/Xj5SHS5Kj68Q+ixBC4PcbLN39MY31T9LspBCUJy7h5KpMzL9KHAfUVz8+8Bhpq9/xQ6WaleoxG0UXf629yzAfdX9oWNnHOntR2B/da8PKHluu8mkjiYM09z1U8Gpv3jkyfe6WPvWvC4RuUJy9jG6YREEfzbDorNziy1D2l3hq8P0dk0tAohl4wkSYIcI0UFGCsAw020CzTVQYk/R8lJSoKDUCes5Bc8zt4pgkAQTCMpB+iGabyCDCPT1JWO+igmg7v6RA+k+vqEbJZNR7lZL5P9robpE2HBZR2E91h09/HcPMUJm8xObaVQzTJZMbRzccAq9Ft/EAeWD4Na2WHXgNMvlJhNBSUpbO6m/IDvjoiOMB3cb90UN/+e5b6LpNcewsudIcE3MvE0feoaQ6jwMZSXq3a7gnK6h4pxFRu2oEDNNBe4wCkputpmIfB0IRDFpDMQWJZeew3dJQBe7gOfNFIPS7hH4bN1tF03Qsp0h/n3bLJ4PtZ9MXGfhWSUx39RZCN4mDPkrKX28Riy8KRsZk6o15Jl+dHb2mpKS90OTh9+4Q9Q4wBJrAKTtc+POXMN3theQ3PWrvrbLx3vGrGQ+CZmqc/PYFimcqrLx1n8b1DWLvKT+MBZz89gVK56qsv71E/eN1on6IXshgT5VT+s7egOzleaJGj7jdR+gammWk+TYh0HMO/v0aCHDPTSMMHaEJlFSp8fZDUApzrICRdwlXm5gTRaypEsJKDX7iBcSNHoMHNYifjgcdx/5oF2laGSzn0UY3kxvHzY0f+vhKxqmoxOYdxqZfIJOfxM2OYZoZnEwVITQCv0Vrc6+Qyk4Egxa91hLViUtomsH4zIt0GvcJ/5EaZqXkrh7lfmeV1Qe/QNNNitXTFCunU3nQoI/XffKdH0qmPf/JIEJG8Y7XE+Id1dJOpvyYCIugWD29i25yP8gkpN9ewcmUMa0M+dIcudLcU3M8jotBfwOvu06xchrDzFCdukJr4/YTj9SkillboX1jB5HK5w8lkyEvtji2WtqXhpk07GVmTNyJLGbGwhnLkJ3Os/bLRZZ/fP9gw8yQfq3i4pRdrKJDbiaP3/IJ2sFTMczC0Jh8bY6Zr5/AW+3Svtf8HAyzYOKVGWZ/+xRhy6d1p07UDxG6hlHKYOQzJJ6Pe2oCzTKJG11ULBFZBz3roLkW1kQR/0Fa2W6OFdBMAzSB9ENUItGjGBUlWOMFhKFjTZXRcw5KyiF5ikSzTOQgQjMN5GNo9XbCyJjIKEHG8rFrxPcaQ8o+he2WyRXnaG3c2ctTDWQLM6nSjls+0uWMowGbKx9TmbyCplvkirO42Sp2pkQc+Xi99GH2KERBj15rEa+/iZsdo1g9y/jMS2yuXk2pCA8I/WmagZOtEoXeKLf9mwilJO3Ne5hWFt2wyJdPUBo/Txz2Wbr74ydLWCHAmS5iVbOps5lsT7IkiYZkOOlrudI8bm6cYNDe03euaQbFsbMUKqeGxV2PRmP9OrnyPIaZIVecY3zmJZI4oN9ePfC+6oY9VJwKPpfoSjBo0W0tUR5vYrtFSuPnGZ/7Cs31G/uyiG1B0y3c7BiB3xrRyz4KUeiN8tC2U8TNjjHofbYW2c+C4+p6b+FLwwzEfsT6O8t0lzq41Qzjr8xw5o8vPf6DUhG0fG7/5VXMrEXxTIWTf3geI/OoMNRvDuQgJG72MUpZkkGId3OZqNkjrA1p6GC0K45b/ZSiSyqC5Tqak4a55SAEIRCGBlIRdzxUlKDZJlrOQQ7CNHQtBCQyDYsfoRFZdwxOffsCmx+u0l1skwSPNkR+v47v1ckUprDsHKXx84R+h07zIUk0QCmJZljYTpHK5GVyxVmUUkcaUxKHdBoP8PubuLkJCpVT2G4J08zg9Wr0WkuPDUlKGdPvrLGx/D4zp7+BYWWG6j9Zuq0loqBHMiwQ0oQ+bK9ysJwC2cI09bVrdBr3SeKDr8e2wpE+1KjeVkgyTBfDdJEyStMUhzXwQqANC+Z000HTtx9BumGhm+4w9y1HKj/HhZQRjfUb6KaDbjhk8pOMzbxE6HdZffDLJ9j3K9AMnXCzBwri/va9k0mI163hey1st0gmO8b4zFfQdYtBb5MkCRGkamludoyJ+VfQNAsOMafa9Xu0N+5gWllsJ09l8nLKmb5xa8iVHaJQaXGYZmKYLrZbRMqI1sadoQTo04VMIrrNh9TXrzE5/1Vst8T8ud/Fdgr0O+tEYX9UxKhp6Tw1TRfLLZItzLD24Bf026uj1tCD4HXXiUIPRync3DjVqSvDCEl3xOudqmLp+F7jsS1gWzrP6Ty1R5XlWwIVhukSQ0rYIyVPui3mS8MMqEThrfXw1npYRRszd/gwiIwSmtdTRpewEzD52iy5TPFpDfWZgvQjwvUWMorxF/Z6p8HDbaabnWbGu34AbeATpjMUuiAzkeWF/+p1PvxffoG30X+sYU5in2btFk6mSq44S7Ywzdz5b9FrLRF4zaHUZZZscRbLztFrLRP6nceSJuyGIo486itXmTnzTXKluaEwu8agt0G3+fBQRwkGbdYX38N2SpQnLuJkKsyd/V18r4Hv1YnCAZAKBJhWBtstY7tFQNDrrCL2OY+mGeTLJ4cPSXP0ky/Njfqmdd2iPHmJTH6SJEl3XlLGxFGqKLbfbjRbmE6LlHYc03aKuJnq6D250tyQhjR1KuTwJwq7h1JD2g9x5FFfvYau28ycfhPLKTB95pv4gybN2s0nk5NViv7d/ceX0qG22Fj+gKkTr2NYLuOzL5ItTuF11onCHggN2ymRK82i6yYbKx9Rqp7Fzjw6EhNHA9YX30HTTSqTl7GcPBNzX6EycQGvVyP0uygl0Q17aJRLWHaeTuM+vfYqfA6GGcDr1qgtvodp5SJQYW4AACAASURBVCiNncPNTXDy4j9j0K/he810R0w6r8xhvtwaanbX164+RsIxRb+zQr+9gpsdw7JzVKdfwM2N43XXSOIQTTfQ9TRasHr/Z7TrC/seJ1eaT+sAdANNS2tM3NzYcN2k0dVC5RSabhJHPjIJkUlMEoeEfhvfezKUv18a5i9xfChF3PaI209I1ekJ92LrtkH54ji6rR9mbY+wufoxpplBCA0nW8EYkldseQ5Spgux307zmIaZwc2NHyr8uAUpYzZWP2J8/mWcTGUkFu91a0cwQorAa7Dwyd8QBl2qU5cx7TyWk8fOlIf6tOmYt9qrorBPHPnEO6p6tyEw7QJXXv8vhmxL+180w3I5ceGf7B6JkvQ7q6zc+ynri+/s+cyJC79PeeIiunFwK9D4zIuMz7y486BEoUd9/Rq3P/irQ16TvQj9NvXVjzFMl+lTb2A7eU5d+TZR2KfbfPjUQ7pxNGD57o+xnSKFykkMK4ubHSOTmwTSayeHGujN+gKLt/4B/ZKFaT+eMrXfWWX57ltEYZ/q1HOYdg5dN8mXT460jlFyRFkaRwPCoPs5Fwkqeu0VHtz4LtHpHpWpyxiGg+1WcLLj2+McFspJmRAFXeLIJzlEGBvSa1xbfi/VQR47h27YFMonth3moXBKHA7YWP7wwOOcfeGfkytODXfIe+epphlMnXgNeG3H11MEfof1xXd4cOO7h74qj8IzZZh120AYAhlJZHjwzka3dYSh7X2fSPOJO+XWlVJpfjF69srtNVNDt3bfAikliR8f30iJ9DpquoZMJEnwGY51xHMKPc2vJWGyi5RaaGmoWuhDMfMdihQylgfnfgUYTqp7LSOJAjRDQ9M10NJjKKWQYbKd1xPpe4Se5v7HvzINmkC3DcyMhYq3TyTj4fX5FGQSsXL/Z3Sa96lMPUehehrHLaMbFnHk43t1Whu32Vy5iu/VKU9cZNCv42Yr/z977xVkSXbe+f3SXu/Lm66uqva+Z3oGYzCDgSFAEqABd0lpySUpKnYVokIR+6AXPehVIYVCTysxtEstl1rtrkhiBZAgDIkZuAHG9vR097Q35X3V9TZ9Hj3k7aqurqru6pluoCDeXwQiBl33Zp7Mm3m+cz7z//D9XU54QgRdp2oraKEEqhqiVV9p6wQ/XtzXdQxmb32PtfkLZHqPksqOEol3oWrRQNnLc7CtGmazQL08Tzl/B7NV3rY2VJKC5JWP4+b1H6IgJgjkHR/32h7WilH4Hp5n4TpGu6Rm5wfdaBZYW7iAHo4HBkyLMnzgNaaufYvWE4pFSmpb8MXzHjAmAsducufyfyLXf5xszxFiqX60UAIAx27Qqq1QWr1JYekqQvgYzTyOsw8hwyaB+m2vLc/s7TfIL31EtucIicw+ovFuVC0KkrS+EDObReqVOarF6Ydes3/f779d0w9J1ZCkdmKTv9t5VWC2F5Erc++T6ztJMruPcDSLqkWQJBnPtbHMGkZjjXp5ntLa7aBn+C5LpWqlWSyjSrr7ENneI8QSvShaBBC4roVtVGnVVh7uwhdBNylferwYse/v9JxKKFoI33cfq8PUnjHMkiJx7r9/ld7nBpn4xg3ufu3q9klXEpz5Fy8x8Mp+Zv/+Djf/78s4dQtJloj2xvj8n34VJbxxWa3VBhPfuM7kN278DK/m0ShhlQO/dYxjf/Tspn8v3y5w4X9+k8bCx0tOiQ+nOflfPUff80MsvzfH1X/1Ac2lp9uZJdqb4NQfP0/fC8OsXljk+v95gdpsGQTIIYXUaIaBT++n63QfiaEUakTFNT2ai1WW351j8Scz1Oe2dg+L9iV4/n94jeZijYlvXMezPIa/MM7AyyNEuqJ4tkd9ocrtf3+Z4rU1XMMh1p9g4OURBl4eIb4vRSQXRZIlTv7x8xz/589tenkWfzLD+f/xx9t2thDCp15ZDFy+kgzt5d49odQgrhpMGOX8XarFKUB67HpL/77yrEZ1iUb14ycMGs0S5vS7rMy8v+7+u3/MQd9bEcRvt51Egsnzg+//T3ycghOBz06623cu/tV9O/jHOabYcWIuLl+ltHoDqa0b/6iEm1Y9z8RH32DyyjfXx/tJk3TWkWQGP/uPkRWV4tV3aC5uzY4WwqO4fI3Syg14sGRK+O3fJbjW+Ykf0VDq5E6+hOqPoOZv4bYe0p1I+LRqqxj1fPC8bvF2iPW4dXCOnRcxyzPvsTL3wT1fy5a/D33ud9CTWQof/ZTq3cs7j2m7YQqfVj2P0fwx0qS843N6/714HCyjwtr8BfILl7a9B0KIHZ9RgKvv/mn7TX/853TTolNWgooOSSbeM4JRWcMo7/7d3jOGWXiC4vU1Mke6yR7pJn2oa9us5vSBHImRNG7LprFYw2kGxlsIgVWzuPnvL6OnwkR7YvQ8M4Aa0ZDVvaeK4zse+Y9WuNUeb3w4ycDLIyhhFUn+eFV46YM5Dv/uabrP9rN2aYkb//ZDjLWnp5sNkNyf5sjvnaHvU0MUr61y899dorFYW3/vkyNpxn79KIOfGUW4Pq18A7tmEUpHSO7PkBzNEB9KMfH161Tubo7PSO0dcygbZeCV/SSGUqQP5jAKLcxSi0hXjOyRHoQn8O9LYnINh9psGbPUIneqj1h/gtLNPM3l+iYPS+lWfsfdWEDwEotHNQURPv5j6/hKaKE48VQ/iqpjWw2a9RUsY7PUqqpCd4+C6whCYYlmw79X9o1jQygkUakE5w6HBa7rIcseui6tz0uaJmFZwaQUjcocOqwyNenRbG6+9nr9ngLbk68T37Un4TG41y/3Mb7RTjR6CipSEsiqhtzWdd5xBLs0OIFL171vx7ybOUG0u4d9skx7Ibxg178Dsqoha/quFe+2OcPu3quPe/SPadSBJ+LilySZSLqXRO84nmsTSfbgGI83D+8ZwwywdmGB/heHSR3Ikjm8vWHuPtNPpDtG5W6R6mRpY7cjwDVc5r4/gazKxAeTRPvixAeSP+Or2B3CE1QnS7RWG2hRndyJHgZeHnm8Y9ynO5s91s34V4+RO9lL/tISN/78IvX56qbSjScybsS60U0fzDH+W8fofmaA/JUVbvzZh9SmS5vCBsZak6W3ZqnPVajcDcqsfMdH1hT6PjXMyJcO0H22n+pkaYthvkdqLEM4HaZ0K89Hf/IexloT4QuUkEq0J05lshS4wwGz0GL53Xnyl5cJ56LoqTCxvgSr5xdYfncep7GR7OO2nKfv5t8BSVbI9BxC1aJIkkSjuojRyG+aUMJheP4FnUxGDuRKnUDWtFoNWmnu368gBHzzrw1ME06f1RDtv4/sV+jqkqnVBKWiz61bDkePaly66KLrEt09Cs/sU8hkJOo1wfKKx0eXHey9pU/xc0EJx4j178c1m7RW5nbnSvV91s6/AZKEU//4cpwdfvERQmC3alQWbyE8F7O6it18vGdiTxnmxlKdyt0iqbEs6fEs0f4EreUN942syXSf6UeP6VRuF6jPPnCxvsAqGe3PKkGsdg/jmS6e6eKEbWLF3atH3cN3AyOZO9HD6FeOkD3WQ/HaKne/di1YtDwFhBu4mjJHuhj9yhG6T/dTupnnzl9doXK3iHjALWzXLAofrVC+lccsG5sMoVUxSR/I0v/SPmKDOy+gIrko1btFlt6aZe3i0qZdb3WiiOd468f1bA+v2Fr/b9cIYj9W2aC5XMOu7g3Lo6gheoaeQVVDCCGoFacxHkj6kmWJXFYhkZTw/WDP5DiCQsEN+lGrEtVKewcNmAaMjSoMDEBPr0IyKZFICDQNVldljhzRmJnx6elVyOYEvb0KsgyG4SNLQY9s2/o5rVT2EGosQfrwMzTm72Cszu+6TahZfFqKVh1+sRC4VitoiCIErm08ttb3njLMvu1RvLZK7mQviZEMuWPdmwxzcjRLfDiFUWhSnS5j1/fGJPvzwrdd0ge7GHptlOzRbsq3Ckx98yalG0+vsN6zPZJjWQZf2U/XyT4qE0Um//oGxavbC2IIX+A0bZxtmva0VusYhSaSLKFG1J3LpSQo3y1SvL66JSnQe0iS4F5FUcPkeo+RSA8hySrN2hKNysK2IiYQNACZnvZotYJOWasrPq4naLUErZaP0/a+uY6gXPZptgQLCx7d3TKaJjEx4VKrCa5ccTBNwe1bgd75/JyH40Ct5tNoCGy7Y5QlWUGPp4n0DNNamd1Vqc7T5+N2Duvw8+L++vxwIodjNnBaW/NodmJPGWaA0u081anS+sS/+NPZ9cm47/khQukwiz+dpbFQ/Qf/rEZ74+RO9tH3qSEaCzXmfzBJ4cqTlxu8n0hPjNRohr4XhzELLea/P0n+0sN3CkpIJdITI9obR0+EUELKeuZ0cn8m6F8qSe2U4K0/qtNyMApNnPrT08h+WqhaBE2PIckqIFDUMLFkP337zqGoYXzPobB8jVZjbUtczHUF09MumgaTEx7V6sbuGKBa2bwKrzcEpbJLueRjmtDVJRONSszNBV/KrwXHLxZ24ZqVJELpHvR0DjUcR1LVTVFOIQTG2gJmcRnhuSjhKHoyixZPo4QiSLIaZE2bTYzCEm6ztinpRgnHCHcNoOghalPXCGV6CGV7UUJRQOC2GpilFZxaaX08WjyNnsqhRuLIWlDO5TsWdr2MVV7DMzfK9sK5fkKZnvb4PELZXtRo4JXyLROzvIZVyUN7TGosFYwhlSXaN4IaTRDtHw3CRe3P2PUyRn4RtxkkU0qqRiTXT7hnaP3euEaT1tocTu2BtqyfAEmS0eIpIj1DqNFEUFpnNoOxNKqb7qukauiJDHoyixKOIasaAoFvGViVAna1iO8EGxpJUYl0D6Knu6nP3ESLpwilupBD4WCn16pjlfPYtV3U5koSSihCYt8RkCRayzPYjXKg2KeF0BIZ9GQGJRxFVnWE7+NZLazyGnathHA3x3YlWSGc60NL5lBCYZAkhOfhWy3sWhmrUkDcFw8OpbsJdw+ihqMAeI6NVV7DWN2dJsCTRJIVotkNeedY1zCN/OwvtmE28y2qd4v0PTdEajxLYihFdaqEoiv0PDeIJEuUrq/SWn26SU2/CPS9OIwW1dHiIYQXlB3dK1l6WvSeG0TRFfREiNZKA9/xkVT5AeH+DULZCLljPXSf7Sc5mkHVg5I4JDnIpO+LPzI5z206ez4ssRPhaI5s75F1wQQ9lCCWGiAUSSOER7U4RWnlJpax9aW1bbh8affJKHOzm70Hhd0Y4J3Gnesnc/hZQtkeZE0PJtdYEjWawLMMjPwSvmNhVfIIzyXSPURy/AThTG+QGKQEdaBCeNSmrlO+dQGnXl5feGmJNNmjzxHK9WFVCmQOP0OkexAlEkNSVKzyGuVbH64bZklRSY2dIDZ0ADUcC0p25KBmzq6WqE5coTp5Zb0kJTZ0gOzxF6jP3sS3DKIDo6iROJKiBKVqK3MUrryNXV5D+B56Ik18+CDR3mH0VDeyqhLt3YeezHJvB9BcmsZt1dcNs6yohHL9pA+eRVICQ2JV8qy+//oTNcxaPEVi/1Ei3UNo8VRg2IRPbfo6ldsXsSuFdeOsRZOkD54hOjCKrIWCnZskByVYa/NU7lymuTQFvoeshUiOnyR77HlWFIVQto9wVz+KHkFSFDzLoDF/l9L193GbDzEqkoQaTZAcPU7Xmc9gFpexayWcZhWBj57KkT50lkjPcPAsKVpgaIVHc2mayu2LGPmF9dIrSdWI9o6QOXoOPZFB1vQgAU6Ab5s0lyYpfPRWW9mufY+SWRL7jxJKdaEl0iBJlG9+8HMxzPcWKff9wyOSTLey5wwzQPlOkdKtPNmjPfQ+N0httkx8KEV6LEtzsU59rvL09aF/AYh2xylcXcEstkiOZhn7jaMY+Sa16Sc3KTxIpDtG8eoqRqFFaizL+G8do7XW2DamrYRV+p4b4tDvniLaE6d8p0D+ygqt1QZO08azXPb/6mH6Xxx+6DmFL35hvSN6OEG66wDJ7Ei7RCbIDHasOkazxNzdH7Y1fffQBUoSXac+TWxwnNr0dRpzd0CCxMhhUgfPYFdLLP346ziNSrsHdGA8FD2CWVrFKq3iORZaPEX60Fm6zn4Gq5Knbjbx788ukxX0RIbciRfQElmaS1M4zRpKONpuCLGx+JZkmVCuD+F51Ofv4NQrSIpCtG8fscEDKJE4rbU57Eph4/CaTvrgaaxKAbO4TG3yGrIeIrHvMNnjL+CaLYpX3sJt1rDrZerT1zHWFogPjZM5co7a9A3qM9fXM5RdsxksLtp4tkl18iqt1VkULcTg5377qfwc4a4BAFr5BWpT11HCEVIHTtN1+hWE61C+eQGnEeTbyHoILZnFNZoYs7dwWw2UUIT4yGGSo8cCJbLKGm4jMLQSErIWpuvMq9jVIs3FKdxmFS2Rad+nT+EaDUpX39lmZKJtlJMkR4/Sc+7zGPkl1s6/jtVe8AAo4ShaLInTqGDmF3GNBkokTnLsBOlDZ/EsA6dewm0Fv7cajtHz3BeIdA1QvnUBs7QCQqBGE4QyPSAr68/dPZrL09jVAkooSvb48yT2H3sqv8VuEJ5LdX6jPLcVST6Wtj/sUcNcmy5Rvpmn7/lhep4dZObv79D/SlBKtPLBAkb+CSlN/YIz/e1bTH3rFvHBJAd/5yTdp/o4/Lunufwv33lqbt/Zv7/L1N/cINwVDc55pp+jf3CWi//rW1ti/onhFL3PDxHvT7L83hwf/i8/3VybLgU78KfapO2evfs5xQodq4nRzKOFYsiKjvA9LKNCpTjJ2vwFLLP22Kvpp829idxYW9jYzQCu2UJPdRHO9eFZJr674cWo3L5I+fbFdbcvgKQoWOU1hj7720S6BzFW5rDvM8ySFBjPULaX+e/9B1xj+xg7gG9bLP3km4gHJrjGwgQ5yyS5/yiRnqFNhhnA97xgbLc+DLKrJZn69A3Gf+dfkNh3mOqdS7jN2vr/lEgMLZ5E+B52NU9jYWJnYQgh8K0WlnUv2dBEVp+8Tr7bqlO5e5nyjfPtf5FozN1h5Ff/kOT4SVqr8+uG2Swus/ijr29y8wIYa/P0PP9LhJI5QunudcN8D991WL3wg2CHKQSSomIWVxj4zFdJ7j+6xTDfa4+qRhOkxk/Q9cxrGIVFFn/8DdzW5me6uThFa3lmy300i8v0v/RlwplutER23TBLiko414dZXKZ07V2savGRmfHCsbGrRaCIPXxwl3f2KdOec3zPeWjt9HbsScPsWR7V6TK1mTKxwQTZ4z0MvrIfJIm1i4sYxY5hhiDj2bM81i4uocV0It0x+l8Yxiyc5uq//uCpnNOpW7iWS+HKCmpYI9oTo/f5IY7+F2e58n+c3+TSDmcjhLMRzFKLwkcrWwRjwtkooXQEWXu4stHHRoBn31MMU3aUmHya1Ctz1Cvz7bVH+/zrk9beMsgASDJ6Moskyzj1ciCJ2Ma3TZx6hXDXIGo8gWs2169lu4lH+D5mYQnhu6iR2Loy1v14lkHx6jt41qOVxh40ygCuUcepl5EUFTWS2PL31tI0xtrCxsQufFyziV0poMaSgWt7j2NV8sE1rCMwi8sYhWVig+NosfuuW4gtRhnArpVwjSahVNcDbtaA2uTVTaEG4bmB277VQI2nt3xeeB6yHg48Iqdeobk0zeKPv45vb/M77lBvblXyeJaBrEdQ9I02l8JzMYsrxPpHSB99jsqtC9jVQrtZxC8GkqyghRMgSSR6RzEqq+1WkLtjTxpmgPpshfylJcZ+/ShDr46SHs+xdmkRI9/aMZ75DxYBqxcWUSMax//ZOfZ96SD1uSpzP5h8qLTpJz1n4coKt//jR5z6b15g5EsHqc9WmPv+5HqYwWk6OE0bNaIR6d6s+6uEVUa/cpjssZ6nZjB916O1Vl8vKVt+dxar8qQ6Cj0O91zxe9AQb0EESVRCBElW9/UOllUNNRID4eM0NreWVMIxYgOjxIcPoqe7USMxZDWErGmo0USQU7DNzxzsTAuPFoSQJPR4huSBU0R6htZd57Kmo4Qi+I59n+byBq7RwLOMB04q8H0niFHviazrh+M79tZrgHasWyDrYSRVQ7gOkqoRzvaSHDtJuKsfNRJH0UNIqo4aiWEWV7a9T3a9gu9sNuhBhy+3nWG8uWRCVjVSB08TSnfjGU2KV9/Z3igDshYi0j1IYvQY4WwvaiQR5CFoOlo0TnNxatPv4Bp1Vt75Nr3Pf5Hs0efIHH4GY22R+uwNGvN3sWs/m+YbHxdJVoik+0j0HcB3bcLJbhzjIapt27BnDbNRbFG6lWffFw/S/9IIsi6z/NYsdnX7H18JKWSOdKPHdZSwSqw/QbQ3jhrVyB3vwf7SQVzTXVcMa6001mtuE8MpYgMJlIhGOBOh62QvSEHW8/DnxzEKLTzTxcg3aC7X193EsibTdaoPJaKhhlWSI+kg8ziuB+esHcQzXdyWQ32+gpFvridmRfvjxAeTaDEdPR4idSDoshPORBj8zCjN5Tqe6WKWWjSX6o80KG4raF2pJ0Mc+y+f5egfnqVVaFK8uvrUEqdcwwnUy/7jZU798ac48vtnMYoG+UtLuC2HxkKV6mSJ3nNDDL02ihJWaS3VUBMh0gdy6MkQds3ECD+dx9BpOqy8O8+B3zxG73ODKCGF+lwV3/FQQirV6RIz37nzVM79C4sQOM0qrdV5Ij1DJMdOrE/Mif1HCOX6aCxM4JkbhkJLZMidepn40EHcVp3Wyixeq4HvuyihCD3nvrBzsEKILfHCB7mXPdz/6V9D1kK0VueoT9/As00kSSY6MEqsf3Tb7/qus70rWjzVAMqTRYhtwx0bcpmBhKQSipDYf5Su068AEo3FCRrzEwjXRlI10gdPb5UCbeM79s7u4m0WL6FMN1SLuK06ajRB7sQLmKUV/AcWEGokTurgaTJHzuF7Hs2lKdzmbXzXQdFDZI59aut1eR5mcYWlt75FONtLbHCcaO8wXWdfIzl2ksrdy1RufcheXegK38duVijPX0N4Dno0jf0YGdmwhw2zcH0aizWK11YZ/vw4Vtlk7fLyugTng+ipMEd+7wzhbARJlVHDKuGuKIqu0v3MAMnRDMLzcZo28z+aZuY7t9cNVv+nRxj+3FjQIKGdcSzJErGBJOO/eQzPchGeT/6jFeZen6B8K2hnqMV1Tvzz55A1GUmV0SIaoWwUWZPpeWaQ1Fg2aCRhuEx/5xYLP5pe3032nB1g5JcPosdDyJqCGgvcfOFshNGvHMEzHXzXpzJRYu71CdY+fLQbxCobLL0zRzgX5dA/OcXR3z/L1X99nsqdwlNr4mFXTVbemyfSFePw753m8O+ewm3ZlG6sYdcslt+eQ41q9J4bov/FfQjXw7VcjLUmc69PoCdCDL62/aT6SfEdj+pUiWv/5gLDnxsjuT9DajyH7/o4DQur9g+7Dn4nhOdRuPwmPc99kdT4SeKD44GB8z3qs7eo3L64aRKPDY4THz6E26hSuvE+ZnEZ37YBQSjX/0jx/kf1HVZCEVIHTxPp3cfa+Teoz93GbdbwPQc1HEONp3Y0zIjt1J4fdQMe9wtPF1nTkPWtncvUcKAaJ9qLDz3XR3L0OEokztqFH9BamsKzTYTnoSczxIcOBN6L7bhPRXA3uGaL+vQNWiuzJEaOkBg9Rs+zn2Ptwvc3JfiFuwZI7D+KpCiUrrxNa2UW3zYRvkco3U3qwKltjy88F7uSx2lUMUsr1GcyxIYOEB8+RGr8FFZxGSO/e9fwz5ZActSzDDzHxLWM3anH3ceeNcwQKGO18k1812+7sZs7lgK5LYelt2ZQwtpDl8LC8alOFgN3uKYSOX6IZlNl7o3JRy6hW8t1rPLGitAzPeZ/OIWaTRE+PIY5MYNb2JoRLTyf2kxlXTYSoDZTZuHH08jaw2NcZrFF6z69a9/xmf27OxQuL1O4uoKvaISPDyNsG+vuDMZqg+nv3MZquETOncZ1lU1qXHIihr5vEK2/B4D6D995dIcYXzD3xgSlG2uUb+Y3xYqFLzAKTWa+exurbCDaYxaeQPiC6kwZ529vUby+RigdRtEUPA/EwH7WrleRjMaG5vkDqmFW1eLOX15F0ZVA1xqCTlHZNOHDYzTf/vDh4xbgNG3mvj9JY6FKOBdFjWgIIXCbDrW5zcpx6YzMwWM6k7dtSp+g1OhnSSQqcei4zvyUQzwls7rkYZmf3LL4nosky5ilVczCEp5l4BoNrEoeq7RZTEaLp1HDUZoLEzQXp/DayVCSqhHpHmiXTn18JFVDT3cjyQqNhbuYhcX1TGk9mW2XND0hfD+oqZVk5G1isT8PtHiGcKZ3033X4in0VDeu2cI1GiB8lFAELZHGdyzqMzc3lThpA6NBGOIJ4ZkGZmmV+vwdPLOFEomRPnwWp16hfPsivh3Mk0okjhZL4bYaNOZub2rEoae6UPQgDLGJe81OhI9wbexKAbtSwDVbaPF0u/a6aw8b5oBYbghJUXHNBla9GCiB7ZI9bZi1uE5iOIVrOMz/YPKhTe6dhs3U3956zBMEbp21D5dwFh9fmMM1HO5+7Sr6vkES7hCNH81iTc7u6rulG3lKN/KPfU7h+iy/s1Gbp3bnCI2P4DeaWHdn8F2fxnyVu//pGtFZBWOptnkxIwBZRsmmCB0cpf7me7tq3bb6/gLba3sFut/N5ToT37i+5W++7dGYr9KY35gkJF0jclbFKht4xVrQ9GIb3KbN3BsTO5z0kUNe/5xdNVl5f+GRH02kZI6f0cmvuhgtgayAZQpkCdI5hVBIopj3MFoCISAak9B1CU2X8HxBueAjy5DpUohGJcoln2bDx/cgHJYIRyQUNZDSXFvxEAIyOZlYXKbZ8KnXfB7m1Y3FJRIpGVWTMFuCes1HVoJxD+/XsCyBLAfvSDgiEQ5LqFrQdrOwGpwvEpXIZBUaDZ9mfbNgyaZz9Qd1v5U7F6ncubxj/BDacVzbQk9lifaPYNfLyKpOKN1NbGAMSVE+0SZUeN56FnG0byTo7OU65ckQvwAAHTZJREFUbRGQ/YFb9Qltc33XwTHqCM8l1r+f1uA4rtkMxEwsE6dVX78XkqwE8V1FQVZUZEVDUlS0aAItnkb4Lr7rbC4Re1xEYITj+w4F7RhbdSRVIz58iFAqS23mxroAiO9YuK0mke4k8aFxjPwSkiyjxYMabTWWfHiHqscdGCBcB6OwSOn6+2ixJNkTL+AaDepzd/BtA98ycNuGOzYwhllaRZKDBMP40AGUSBTn/hppSUaLJ0mOn8SulvCsVhA7l5VAJCYSD2Lu92fwSxKyHkZWVCRFRQlHkWQZJRRFS2SChhmeG8Tpf0YVEEHXMkE41QPJLvRoCqO6it0o76pRxp41zFpCJ3O4i8zhLupzVdYuLuM7Ty6RScmkUHPpQJjDfODFURW03m6UdCAKITwPd6WAVw3KACRNRcmmUbtzCM9DiUaQ7hPJkDS1ffxMUEjvuNjzSwjL2tX8IUXCaD055GgEAfi1Bs5aARw36GKTSqL1B0lTkq4hR0L4jeb62NVMGiWXxq81EO7me+Y3mli3JxGOQ+jgZvefkkkhx6PI4cBt5jUNlGQcXA9reg48HykcQu3KoiRiwdiaBu7yGqKdOCIn46g9XcghHSTwqg3ctQLCsoMFQfu+CMNc/07wRRklFXxXOA5yOFD7cZZW8Wr1jXNn0yjpJF758WI2u0UAiaRMPCFjmYL5GZdoTOLAEZ1QWOLwSXj7BwZGS3D8TIhEUsI0BbWKT7Vko4ckDh7RCEVkVBUunTcprvmMHtQYHlWpt9W7CmseAhg9oK0b27s3beamtnf7hkISR0/pJJIysYRMveZz9UMLVZVQZEhlZFxPsLIkYRqCg0c1+gZVGnUfyxSUCx56SOLUsyE0LeiJPXnbYWXR3WFdFogihLsGSHleOw4sgmxdo4VVXl1X2jJW52gtzxDpGSJ38iXsWhlJUVD0CFZ5jUj34GP07d2Kb5vUZ24S7d1H+uAZwrkBfNdG0UII38WuljZJIH4SAhdqgcbCBLH+EXInXw48AG2ls/rcbWzbDLJuk1lSYyeCjlKqhhZLIMkKiZEjwc7VdbAreaoTVz7+eFwHpxHUbGePPY/vWCh6mFCuD7O4QnXiSrtMCOxamcbCXfREmtzJlzDyS0GdcSga1GA/oBL2pPAdm9byNIWP3qL3U18kc+x5PNuktTyNVV6juTBBcvwkuZMvYZZWgzFFYjiNKk6ztqn1piRJqJEEueMv4DTreLaBcOx1ERNJUWnM3cEobDQ4UvQwybETbfGVQJzkXsJZ7sSLweLIsSjf/GDbJLqngSRLuLaBWc2jaDqSoqHH0viuvauGFnvKMEd6YqhhFUmRSR3IMfjKKMITzP9gEucJxwPV7iyRk0cIHztA/ftv03x3wwUt6zqhQ6Poo8MgBHI4ROviNcxrd/CbLZRchujzp9EGevEbLfA8pNBGDEjt6SJ87CBaXzcoSiA5+cEVrDtTCPsRqyUJQuMjhA7uR0nEQVUC9/jlGzhzi0iaRvTcSUL7hxGOi3AclGQcN99WSNI0tKFeIiePEj4yTv5P/h3O4u4ykfXRYfTRYZREDEmWcat1lFgUJZOi+Gd/id800EcGCR8aQ8kkQVHx6w1aF69hTwW7+PCxg4QOjiLpQczcmVmgVW/gWTaSIqP1dRM5dYTw0QOU/+JvMWvBjljSNfSxEZK/9GmsuzPBAiGVxLh4DePqLfxqHTkaQR8bJnLiMEomhXlzh930JyAUkjh2OoRjC+7csLFtQSYnk+0KlIf+0e8n+OgDC6Pl8alXwigKXHzfwjKDWKamS3T1KpiG4Mv/OEZ+xaO4ZnH0tM6JMyHefL1Fqejhi+DRyHYrKAq8/LkImsaOhjmZkTn3UpjlRY9sl0KuW3Dzis2REzrHTof4yRstfvW34jRqPrebNqfOhdm3X+XtHxtUy8HOev8BjS/9RozLH1icfCZEJGpQKXm0Hmj/KIcieEYD33NI7j9OYuTIela577q4rRqVO5eo3LmMcG3MwhKlG++TbNWJdA8SynTj2QZma43i1beQFBWnUd2U9es7FlZ5rb2IjW8q1XkQ37Goz91GUrXA6MVSCN/DLK9Sn7kJwic1fmrTzsttVrGtMp7b2mKMhO8HcXDL2HY3a9dK5C/8AOfoOcLpbvREJpCxlO7rty0HMpnJseObvgegRuPEowcC2dJIfPeGWZZQcyncYhV8gWs0MKrLOE4NM79MLLOfSNcAkizTmLtD+fZFzPzCuivYbVaDc/kesaGDhLN9eI6JsTZPdeIK0d7hoIa5vdsUvoddK9FansY1m1sa0Pi2iZlfbIcigr/1D8goVh6raKL4DUIhsCzAs5GK19AKGfzoQUKpHGZxBbtWpHL3Er5rE+sfJZztxbMtWivTVO5cxqmXkfXwhsEUPlhV7PlL+JFelEgcKRxrPy95msvTtBYnkL0WelQKPFt6mPjQAfRUbmPstWUScQkGx9avtTpxZZNh1vXACyUhUSo9wdCVFIi26LEMreJCkPglfLRoatcLyD1lmEe/fIT0wRx6QifaF0cJqayeX2Dm75585qx1ZxpncRUlk9ryN9+yMa7eonXpOvg+sU+dRe3JoXZnsS0LbaiP0PgIpT//Gl6lTvLLn0Xtbse5NJXQ4THUrgy17/0EJInw0QPEP/sizsIy3iMMs6TrxD99jtblGzR+ch41lyZ87BDRZ45TnV9CjsdIfP5liv/mr7BnF4iePU7kzMbkIAwT4/JN7OmFYGHxmAjbwbo9hRwJEzo8RukvvkXPf/uHyJEIwvOIPncKZ2mNxrsXURIxwscOEnvxmQ3DfPQA1sQM1u0pvFoDPG991y4cF/P6Hey5RbSB3i3nlsM6cjxG8/xlnIVlIs+eInxoFGdpFbtaxytVaL1/Ga9cI/XrX3jsa9sN3b0Kh47p/PX/0+DmVRtZDvoZy7JEOiMTCkvcK301WoKZSYeffr/d0UwJXnYhJLI5iUhU5l6liWUKJm/bvPl6e2KQgkWAEJBMyUTjwa55B7lwIDiG0fQpS+C5Aj0kMTis8pM3Wtz4yGb8kEW2SyGelDENnzs3bH7SPl8sLnHibAhVkxjar6KqEIsFnoFW835REJXkyFG6n/0sRmGRyu2LuGYLhI+kqISSORKjx+l/+ddoLc8GetPCx1idC8QpJAkUGTWbJPHaWdSuBMvvfjvIglZkUBXwPOxKgdXzr6Ok4yQ/9yzW0iLCvmf0At10SZaCSjM3cEVWJz+iNttW4rpXFytJSIpMKz+/qYdwbfY6/pCCXbkvU7h9XCH5LP30bzaOAaAqSLKE8Px2He0yK+98B0lVguf3gR2/cB2aCxNM/r//e7DC8tsdziRpo7JICFBkJF1FON7GDyvLwWJdloPEN9cLPGGxCMnXnqHynbfxWxaNuds4WoP4SydQczlWvvHtjQHIUjC2e+OSgnO7ZoPS7fMUb7y3+fpgS26Ab5sUr75N8erbm/49HA6eTc9cYeXNryEEpNMSng//2X8e5QdvfI/5eY+eXoXEgMLMtEckInHmjMxI//t8869/jGkJopoESQnhFWnd/gmVq28SiwX3x2gJPBeMuz9F00B2gtuoqoKedJN0/U2uvOWg60HoR1HBdYN3QNMkegeDrmtXr7g49TLzb/zFxq2RYXRMYXBMZep9G9MQuC7EYhKxjIRlCmwbuntkTp/WURT41t+aSBLE4xKyTNC/HFCV4H0XAoz2cR6JELhmk8bqJEgyaiiK51i/uFrZoUyYzJEuFF2luVRj8aczTH/7Nu4OmdhPCymkEzlxmMjpowjHRUklcVfWsDQNORJBjkbwKjW8ShCvse7MoA/2AaAk4mg9OSLPnEAfb/dXFgK/tjtt72ABkCP15c/hW8F1B8ZyEklVULsy+LUGXrkCroeztIo+PPDErt1vGbiVGrLjoFbr4Hv4hoGka6hdWbTuHOGjB4m99GwwNsfFmd9IwjAuXiP+2ouExkdofXgVe3IO4eyuXEs4Ll6pgjMfNMXw8kWk4weRtJ/dY1qvCYyWS3evwtCIivDh7AthLNPnb/6ixbmXwutztOsK/Pvi96m0zIuvRYlE4W+/1uTAUR3HEUgE8/b98VxNg898MUo8KfPm91qkMsEue6cOW/kVD9uGsUMal89b3LhiE4vLWJYgHpdRFIjEZIp5D9eFBxOhhYBmw+e9nxi89QODes1H+FsXAbKm0/fSl7HKq6yd/z5WeXOnMiUSwzUb9L38a4Qy3TiN8qbkHTkWRuvLofVk76tPl9AHc6jdGbxaA2epgN80kaMh9OEezBszmwQo1GwSORZBDuvgC8zJRUCg5lKEhnuxV4q4hQrCdpFjEfSBLpRkDGethD0XGJ/Q6ABuoYpbDt5RKayjxCNIYR2tN4e7WsJeLrRDJDr6UA9KIopbqGAv5gPXaVeK0HAf1sIqXrEaGNcHkWX0oW6ctTLCtJGjYaSwhjBthOej9WRQcymsmWW8SiOoD+9OB4vQaBjfMLHn1pBCGqHRfowb05veF2tyMThG930iH5KEmk2iD/fi5Mu4+QqSIiPHwsixCGo6gbNawlneRfOJBwiH4eVPh3j2nMZa3uedtyyMFvzRP4tSyPvkumRkReLsMzr7RhSuXnGYmfaCdqR5wb59wXFeeSXEiZMange2LVhZ8bj6kcNX/1EEVYM3XreYmXb55V8OMzaucuuWy7vv2KgK/MqXw8zNuly7Ci+8qDM6ptLbK7Mw7/Heuw6SDJ/7fIiZaZerV7bOLdmszAsvhHjtczpDgzIffeQyP+/x1d+KMDQk8/77Nu+/a9NqQbXmk83I60b5n/5BlGRK4sIHNo4NA4MKPT0ylgVvvG4yNbmLUIAkoUdT9J14DT2aAkkmf/tdqos3d/077CnDfPVfnef6n10AJIQv8B0Pz/oZNy/QVPThfuKfPkfhT/8Cv9Eieu4USva+nfWDlQW+v+n/+4ZJ6/xlat/50cZXhEA8GMveAa9Wp/Hj97DuzqyfjvtjxeI+7Wh/+xrHj829mskHayfbc6zXaNI8fxnj0oYW7P07FeP6Hey5JfQDI8Q+dZbw4XEab7637mp/+KkF/oNG/F6G5s+IetXjvTdNDh3XOfNciNvXHHwPXv1ClP3jOpGYtKMmhWMHsebPfClGOqfSO6Ai7yBqJnxYXvL4zVcj9A6oDI2ozM/u7E2RZRgcVukdVEilFZJpmXd+ZHL9ss1v/2Gcsy+ESWVk3v+pQa2y1S1nGIK3f2jwX/93acYP68gS/OjvW1y9aG3aDEqyghqNYRbcbcuYFC1EKNcPBKpd96sxyfEI0VMHCO3vw14qEDm8j+YHN4Pyxa4UkioTf/4YzkqJ2g8uBMZYkkj96ouY00sILzDwiVdOB8ZschFntQyKjN6dJvXlF2levEvqi8/T/OAm5tQS0ZNj6Pv7Ma5PoaQ2so59wyL50kmQJIxKAzUdJ3buCFpflublu2T/yRco/F/fxas2Sf/yC0E+w2oJOR40cNAGciR/6XlaF26R+crL1N68jDW1uGUXKiky+lAPel+W1vVpoqcPBDklc6to/TnCh/dhTS3T9bu/ROE/vI5Xa5L+lRcQno89v4a9sBa8Z36gjpX58kuszq8inB3UDWUZrStF6ssvYlyfIfnZZzGuTuLVW0RPH0COhrBmVsi8/BkK//Y7+MbjhQDPnNXoH5CZmvTQdPi9fxrj5g2H737bZGHe4w/+KIoQcPOGg6ZBKrX9y9A/IDM95WJZsH+/wshIkBC5uuKxvOzzm78R4W/+2iCekLl8yeHttywqFUEkInH+fZtTpzUkCXI5heVlj5/82OLYCY0jx1Te/JHFpYs2Bw9tb76KRZ87dxxSaYmvfc3AtoJF8d991+T4cZW+foXhfSqz9zV9CYfhK78eptUUzMx4nD2rIwTcvevyxusWmibxK78a5k/+t0dnVkuSjBZNUp2/QSjRhayFcM3Ha7q0pwzzXmhMISkKUjiE8ARetY5wXdS+buRQEDP1TRNhmijpBHIyjl9roI8MIoUChSS/0cS3bLR2IpW7VgxiDpHwrvJGg3IrKUg8k6Ughq2qgdvK9nBLFZRkIkiAqjdQe3LBf1efVLblfTwwYK9cBd9HSSZAU/GrdVAUJH3jMZJDOl69iXntDpKqovV2o3bndmWY191/PydWlly++ZcNGnWfpfmgZ7FhCFYWXa5cMDENwXe/3qCYD17ob32tgW1tjLfVFHz4rsnspIPR8vnu1yWKa0E29Fs/NLhf/dF14dYVi3+z4uI4AkWRqFX9HcsdX/tSlEvnTeZnXLJdMpmsQu+AwvSEw5/9y2qQNewLivngfD/6+80Tu/ChVvH58z+pomnBZyslf0tOlvBcmkvTRPr20X3mVZrLM3hWC1nV0OJpYv2jRPtHaCxMYJZWN9Uoq10pJF3FuDmLs1YiNDYQ/KZesHBVs0nUngxevRW4lC0HZ6W4KXESgkfAnl+jceEWwnGRQxrhY/tRMwkiR/eh9efQ+nPYSwV8x0WJhdG6M7SubOQcOCslhOMG7nAI3iXDwrwzjzWxiHtiHCUeQUnGgl3rQh5rZhnh+cjRMOEjI2iZBJFj+9H6suj9OZzVIn7tgfvqepg3Zkj92ktYc6uo2STOchEprBMaHUDrzSLpGkpXGm2wC98wQQisyUVaVyaC3bEQCNvFWSoELvWHLESlkEb4+ChqNkn48DD6QBduvgyyhFdrYi+sYS/kCe3rRUnH8S3nsRLvolEZRZZoNj2qS4JSUTA0rFCpCCoVH8cRQbmhG/ys6/f3AYQvYZg+piFw3CBkEo/L5PMezabg9dctpqZcSmWfM2c0Xnk1xOVLDmtrPrbD+oJWkqFaFRSLPq4jCIcDl7pz32e2nFsE75fjgGkGy/pPv6LT06PQMoJ7oT5g+WRZIpORKRR8Wk2f99616etXcF1oNASRSOAK3w3C9zArq6h6JJC4jaXx//+glf2zIPaZT6F159CGB5DCOnI8ijU9jz01j1so49UapL76peDl1lR8s+2uc1ycxVWcuWXSv/XL+PXmussZQDgO1q1JJEUh8aVX27ElH+v2FOaNCYT9cLe8MC0ab31AaGwfqd/4Ivg+XqWGeWsSe3oev96k8fYF4q8+j29YCNPk/h2lnEoQe/EZ1HQKJZUg/rmXcOaXMW9O4K4W0Ib6iDxzAq0nh5JJkfrK53FX8hjXbj/yngnLpnn+I0IHR0l95fPg+/iNFubtSaw708F9ffkcajZouyaFdJylNZzVoLGAFA4Rf/V5lHQStTtH7OVnUft7sO5O78pwa/sGiZw8jDbQi5JNk/qNX8ItlDEuXcdvffJsS8dmvX7ZtjYmM8sUVCv+ljXDg7XOvg+NelAi9eBn69VtdrEtwcKsu6u1SK3qM3ZYI5mWCYdlSkWPYt7DtgTLCx6SvFnDoFreej7fh9Ul716Tq23P6zkWq+9/j8yRc+jpLsJd/SArgYfd9/Ask/Lti1QnPtrU/xhot2EE37QRpr3u5QkfHkZJxbGml5FjkQ1XbdsgbRmI6+K1TPx6ux46HtQTG3fmMa5Owfs38ap1/IaBdXcer9pE68mQePUM5a//ODi0E4gC3X9k4Xh4tRa+aQfvrKKsx7F928FvtpMk2y504/YcxtVJmhdu4ZZqiNY2u08hcKt1JCA0NoCwHdxKPQhftUyMa1OYE4s037+Bs1wM4uWOi9c08BvGpuMI23nkwlRqx6bNiQXMm7M0hMCrNVHTCUQ8gldvX5/tIqnqYzubpqZcuntkDhxUWZj3WV72MAyfX/lyiPk5lVhUJpGQyZ2UefZZjVZLsLQYuLJffEljfFxlckIjGpMQaxuOt3LZZ2rS49xzGrGYz8y0SzotMzqqMrxPoV4XpNMy0ZjESy/pjB9QOHVaCwyxJ9bXFpGoxNiYwgsv6gwNKZw67XDjursl9ttsBguIX/v1MDeuOySSMqNjCo3GPbe1zKHDEs89pxPSJaanXN5/z+bV10LE4xKzsx6+D0PDCgMDMoYhuHFj995bzzHxPRfPtTEqy7j2481P/2ANs7O4il+u4SyuBC9KoxnsAH0fr1Ci/sO3kSNh8Dz8phHUwZWC4L1bKNF8/xLaQE/w3XIVe3oeJ18MRC2WVhG2g9rb1e4jKnBXC5tcvjsiBObNCfxaAzkRC3YWLQOvEtT6Ctuh+d4l9OF+kCS8egNJUfDr7UxL28aeXcRdyWMvLOM3W8EuvhVMOn6jhT01h7O4gnlzEr/ewKs3EbaDPbeEvJLHbxlIqhp4DAyL+htv4ZVrCNfDmpjBbxooqWBHLywbr7SR/m/PLAS7flkC18PNl/AqwX0TnhecY7UY3H/DxG+08BsthOPgzC7QMDcyyN1ihea7F3Hbht2vN7BnFnBW8pg37uLVG8F3d5WR8cl4nI380/jsxC2bRt0PSp2AStnb5LJ+HGGhh37W92mtzOHbFnoyixyKtHsYg+8G9aN2rYRdLWz5qluqo/XliJ4YxS3mglI7QFJV9MEuJF1FiUfwGy0kVUFJx4kcH0PJJIg9cxjj5gxetdkWodq4McJysKaXib9wHH2wO2gJWW0ESWa5FHp/DiUdR00H55OjYULjg+gDXeB5eOV6O94ttrjnnWKN0NgAkSMj6H05nEIVe24Fe241cH0PdQMSbrG28/vrC8y7C0RPH6B1fQp3rYIQAqdQJbS/D32oGyQJa3oZfLHl+lBk1HSC8NH9qOkE0TMHMa5P4VsOWm+W0PggSipG+OgI9twa5uQi8ReOow10BeWeDaO98+YTl3MvLXl8cN4mk5Vp1AWVsh/sjj2o1wUL8x5Lix6hsIRp2jiOoFwKPnPxQ4c7t1wW5j2qFZ9KVeC5grW1oESwXPJpNn0MQ1AsClotn/l5j1rNp9kU5NcCHYALH9jcuimxuupTr9tUysF3rl1ziUQCz9IH522uXpUoFLZ6fSAIE739lk0oJFEpC65dcVhbDfIvXFdQKQskCd5520KSJPIFn0Y9uHmeB5Wyz8FDKpoG+bxPseizsrzbXa+EGo6haGH0WAo1FKdVXsJydq9bIT1KDu9ngSRJP/9BdOjQ4ZMhy+gDXegjvQjLQQ7rtK5PIykKofHBILNb03DzZaypJeRkLDBc/V3Yi2tY08t49RbhA8P4lo09uyH6I4V1YmcPrSeJWZOLeI0WWm8OrScT5HA4DsaVSaRIiNC+XvThHvymiTW7EiRmJaP4po1bqBI5th97IY9XbRIa60fNBpoFbrGGNb2EHNaDeLHrARLm3Xm88s7hIiWbJHr6ANbEQpA8JkDtThMeH0R4XqCQ91Hguo6cGsddK+OslNbvm3LvXgz1BPdiZgVhOajdafThHmRNxZpfxZ4LtqHRs4fWEwWtmWWE66EkovgtE69hEB4bCK6v1ny8leJ93F8h8LBqgcdFlje86+siX09gUfGoc93/3w/j3rWefUYjEpG4dculXNrqBdv5ADKRZDfhVA9aLI2qR6gt3aGRn+XBixRCbOvT6BjmDh06PHlkabPEattl/Ilnd0XemvDYLj96MDHrsbiX0ffg+FQZvE+QYCm1x/dJxrYT292LDk+Mvn4ZTQ125YbxGPdYktAjSeI9o3iujSyrGJUVzFqejmHu0KFDhw4dfk5E0v1YzTKKFsJ3rE29ze/RMcwdOnTo0KHDHmInw7xDwnmHDh06dOjQ4efBntgxd+jQoUOHDh0COjvmDh06dOjQYQ/RMcwdOnTo0KHDHqJjmDt06NChQ4c9RMcwd+jQoUOHDnuIjmHu0KFDhw4d9hAdw9yhQ4cOHTrsITqGuUOHDh06dNhDdAxzhw4dOnTosIfoGOYOHTp06NBhD9ExzB06dOjQocMeomOYO3To0KFDhz1ExzB36NChQ4cOe4iOYe7QoUOHDh32EB3D3KFDhw4dOuwhOoa5Q4cOHTp02EN0DHOHDh06dOiwh+gY5g4dOnTo8P+1V8cCAAAAAIP8raexoyRiRMwAMCJmABgRMwCMiBkARsQMACNiBoCRALNC1j3GgzSMAAAAAElFTkSuQmCC\n"
},
"metadata": {
"needs_background": "light"
}
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "### A Turkish Novel"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "import PyPDF2\n\ndef replaceansi(s):\n rep = {'ð':'ğ','þ':'ş','ý':'ı'}\n for v,k in rep.items():\n s = s.replace(v,k)\n return s\n\npdfFileObj = open('data/Sen_daha_cocuktun-Turan-Parlak.pdf', 'rb')\npdfReader = PyPDF2.PdfFileReader(pdfFileObj)\n\np = pdfReader.numPages\npages = [ sent_tokenize(pdfReader.getPage(i).extractText().replace('\\n',' ')) for i in range(p)]\nsentences_b = [ word_tokenize(s) for p in pages for s in p]\nwords_b = [ replaceansi(w).lower() for s in sentences_b for w in s if (w.lower() not in sw) and (w not in string.punctuation)]\nwords_bdf = pd.DataFrame(words_b,columns=['word'])\n\nwords_bu = pd.DataFrame(words_bdf.word.value_counts().sort_values(ascending=False)).reset_index()\nwords_bu.columns=['word','count']\nwords_bu['stem'] = words_bu.word.apply(lambda x: kokbul1.stemWord(x))\n\n\nprint('number of pages:\\t\\t', p)\nprint('number of sentences:\\t\\t', len(sentences_b))\nprint('number of words :\\t\\t', len(words_b))\nprint('number of unique words:\\t\\t', len(words_bu))\nprint('number of unique stem words:\\t', len(np.unique(words_bu.stem.values)))\n\npdfFileObj.close()\n ",
"execution_count": 104,
"outputs": [
{
"output_type": "stream",
"text": "number of pages:\t\t 211\nnumber of sentences:\t\t 4077\nnumber of words :\t\t 41630\nnumber of unique words:\t\t 15858\nnumber of unique stem words:\t 9156\n",
"name": "stdout"
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "dfws = words_bu.stem.value_counts().sort_values(ascending=False)\n\nplt.figure(figsize=(15,5))\nplt.bar(x=dfws.index[:20], height=dfws.values[:20]/len(words_u))\nplt.show()",
"execution_count": 105,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": "<Figure size 1080x360 with 1 Axes>",
"image/png": 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\n"
},
"metadata": {
"needs_background": "light"
}
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print(np.unique([word for word in words_b if kokbul1.stemWord(word)=='arkadaş']))\nprint(np.unique([word for word in words_b if kokbul1.stemWord(word)=='el']))",
"execution_count": 109,
"outputs": [
{
"output_type": "stream",
"text": "['arkadaş' 'arkadaşa' 'arkadaşlar' 'arkadaşları' 'arkadaşlarım'\n 'arkadaşlarımla' 'arkadaşların' 'arkadaşlarına' 'arkadaşlarından'\n 'arkadaşlarınla' 'arkadaşlarını' 'arkadaşlarının' 'arkadaşlarınız'\n 'arkadaşlarınıza' 'arkadaşlarınızdan' 'arkadaşlarınızı'\n 'arkadaşlarınızın' 'arkadaşlarıyla' 'arkadaşı' 'arkadaşım' 'arkadaşıma'\n 'arkadaşımla' 'arkadaşımı' 'arkadaşımın' 'arkadaşın' 'arkadaşına'\n 'arkadaşından' 'arkadaşındı' 'arkadaşınla' 'arkadaşını' 'arkadaşının'\n 'arkadaşınız' 'arkadaşınıza' 'arkadaşınızı' 'arkadaşınızın']\n['el' 'elde' 'elden' 'eldeydi' 'ele' 'eli' 'elimde' 'elimden' 'elime'\n 'elimizde' 'elin' 'elinde' 'elindeki' 'elinden' 'elindeydi' 'eline'\n 'elini' 'elinin' 'eliniz' 'elinizden' 'elinize' 'elinle' 'eliyle'\n 'elleri' 'ellerim' 'ellerin' 'ellerinde' 'ellerindeki' 'ellerinden'\n 'ellerine' 'ellerini' 'ellerinle' 'elleriyle']\n",
"name": "stdout"
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "wordcloud = WordCloud().generate(' '.join(words_b))\n\nplt.figure(figsize=(8,8))\nplt.imshow(wordcloud, interpolation='bilinear')\nplt.axis(\"off\")\nplt.show()",
"execution_count": 107,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": "<Figure size 576x576 with 1 Axes>",
"image/png": 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\n"
},
"metadata": {
"needs_background": "light"
}
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "### Words Comparison Between Complaints and the novel"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "words_us = words_u[['stem','count']].groupby(['stem']).sum().reset_index().sort_values(['count'], ascending=False)\nwords_us['count_w'] = words_us['count']/sum(words_us['count'])*100\nwords_bus = words_bu[['stem','count']].groupby(['stem']).sum().reset_index().sort_values(['count'], ascending=False)\nwords_bus['count_w'] = words_bus['count']/sum(words_bus['count'])*100\n\nwords_cp = pd.merge(left=words_us, right=words_bus, left_on='stem', right_on='stem', suffixes=('_comps','_book'))\nwords_cp['diff'] = words_cp.count_w_comps-words_cp.count_w_book\nwords_cp.sort_values(['diff'], ascending=False)[:10]",
"execution_count": 122,
"outputs": [
{
"output_type": "execute_result",
"execution_count": 122,
"data": {
"text/plain": " stem count_comps count_w_comps count_book count_w_book diff\n0 ücret 74593 1.389740 3 0.007206 1.382534\n1 banka 73597 1.371184 14 0.033630 1.337554\n2 hesap 54008 1.006222 7 0.016815 0.989407\n3 kar 44555 0.830103 21 0.050444 0.779659\n4 müşter 36231 0.675019 1 0.002402 0.672617\n5 taraf 34899 0.650202 21 0.050444 0.599758\n6 talep 32055 0.597216 10 0.024021 0.573195\n10 üyelik 29350 0.546819 5 0.012011 0.534809\n9 yıllık 30177 0.562227 13 0.031227 0.531000\n8 yap 31781 0.592111 32 0.076868 0.515243",
"text/html": "<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>stem</th>\n <th>count_comps</th>\n <th>count_w_comps</th>\n <th>count_book</th>\n <th>count_w_book</th>\n <th>diff</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>0</th>\n <td>ücret</td>\n <td>74593</td>\n <td>1.389740</td>\n <td>3</td>\n <td>0.007206</td>\n <td>1.382534</td>\n </tr>\n <tr>\n <th>1</th>\n <td>banka</td>\n <td>73597</td>\n <td>1.371184</td>\n <td>14</td>\n <td>0.033630</td>\n <td>1.337554</td>\n </tr>\n <tr>\n <th>2</th>\n <td>hesap</td>\n <td>54008</td>\n <td>1.006222</td>\n <td>7</td>\n <td>0.016815</td>\n <td>0.989407</td>\n </tr>\n <tr>\n <th>3</th>\n <td>kar</td>\n <td>44555</td>\n <td>0.830103</td>\n <td>21</td>\n <td>0.050444</td>\n <td>0.779659</td>\n </tr>\n <tr>\n <th>4</th>\n <td>müşter</td>\n <td>36231</td>\n <td>0.675019</td>\n <td>1</td>\n <td>0.002402</td>\n <td>0.672617</td>\n </tr>\n <tr>\n <th>5</th>\n <td>taraf</td>\n <td>34899</td>\n <td>0.650202</td>\n <td>21</td>\n <td>0.050444</td>\n <td>0.599758</td>\n </tr>\n <tr>\n <th>6</th>\n <td>talep</td>\n <td>32055</td>\n <td>0.597216</td>\n <td>10</td>\n <td>0.024021</td>\n <td>0.573195</td>\n </tr>\n <tr>\n <th>10</th>\n <td>üyelik</td>\n <td>29350</td>\n <td>0.546819</td>\n <td>5</td>\n <td>0.012011</td>\n <td>0.534809</td>\n </tr>\n <tr>\n <th>9</th>\n <td>yıllık</td>\n <td>30177</td>\n <td>0.562227</td>\n <td>13</td>\n <td>0.031227</td>\n <td>0.531000</td>\n </tr>\n <tr>\n <th>8</th>\n <td>yap</td>\n <td>31781</td>\n <td>0.592111</td>\n <td>32</td>\n <td>0.076868</td>\n <td>0.515243</td>\n </tr>\n </tbody>\n</table>\n</div>"
},
"metadata": {}
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "## Collocations\n\nhttp://www.nltk.org/howto/collocations.html"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "bigrm = list(nltk.bigrams(words))\n#print(*map(' '.join, bigrm), sep='\\n ')\n#re.match()\nbg = ' '.join(bigrm[0])\n[ (' '.join(bg), len([r for r in [r.lower() for rl in reviews for r in rl] if ' '.join(bg) in r])) for bg in bigrm[:10]]\n",
"execution_count": 150,
"outputs": [
{
"output_type": "execute_result",
"execution_count": 150,
"data": {
"text/plain": "[(\"akbank 'la\", 12),\n (\"'la yine\", 2),\n ('yine sorunla', 2),\n ('sorunla uğraşmaktayım', 1),\n ('uğraşmaktayım yıllık', 0),\n ('yıllık 135', 1),\n ('135 lira', 23),\n ('lira kart', 392),\n ('kart aidatı', 11922),\n ('aidatı ücretin', 265)]"
},
"metadata": {}
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "from collections import Counter\nfrom nltk import ngrams\n\nfrom nltk.collocations import *\nbigram_measures = nltk.collocations.BigramAssocMeasures()\ntrigram_measures = nltk.collocations.TrigramAssocMeasures()\n\nfinder = TrigramCollocationFinder.from_words(words)\nfinder.apply_freq_filter(10)\n#bigrams = finder.nbest(trigram_measures.raw_freq, 50)\nbigrams = finder.score_ngrams(bigram_measures.raw_freq)\n\nfinder = BigramCollocationFinder.from_words(words)\nfinder.apply_freq_filter(10)\n#trigrams = finder.nbest(bigram_measures.raw_freq, 50) \ntrigrams = finder.score_ngrams(trigram_measures.raw_freq)\n",
"execution_count": 180,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "display(pd.DataFrame(bigrams[:10]))\ndisplay(pd.DataFrame(trigrams[:10]))",
"execution_count": 182,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": " 0 1\n0 (yıllık, kart, ücreti) 0.001312\n1 (yapı, kredi, bankası) 0.001284\n2 (göre, söz, konusu) 0.001192\n3 (söz, konusu, yıllık) 0.001191\n4 (son, karara, göre) 0.001173\n5 (konusu, yıllık, kart) 0.001173\n6 (karara, göre, söz) 0.001172\n7 (sayılı, son, karara) 0.001154\n8 (hukuk, dairesince, verilen) 0.001151\n9 (hgk, 2010/1-93-88, sayılı) 0.001061",
"text/html": "<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>0</th>\n <th>1</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>0</th>\n <td>(yıllık, kart, ücreti)</td>\n <td>0.001312</td>\n </tr>\n <tr>\n <th>1</th>\n <td>(yapı, kredi, bankası)</td>\n <td>0.001284</td>\n </tr>\n <tr>\n <th>2</th>\n <td>(göre, söz, konusu)</td>\n <td>0.001192</td>\n </tr>\n <tr>\n <th>3</th>\n <td>(söz, konusu, yıllık)</td>\n <td>0.001191</td>\n </tr>\n <tr>\n <th>4</th>\n <td>(son, karara, göre)</td>\n <td>0.001173</td>\n </tr>\n <tr>\n <th>5</th>\n <td>(konusu, yıllık, kart)</td>\n <td>0.001173</td>\n </tr>\n <tr>\n <th>6</th>\n <td>(karara, göre, söz)</td>\n <td>0.001172</td>\n </tr>\n <tr>\n <th>7</th>\n <td>(sayılı, son, karara)</td>\n <td>0.001154</td>\n </tr>\n <tr>\n <th>8</th>\n <td>(hukuk, dairesince, verilen)</td>\n <td>0.001151</td>\n </tr>\n <tr>\n <th>9</th>\n <td>(hgk, 2010/1-93-88, sayılı)</td>\n <td>0.001061</td>\n </tr>\n </tbody>\n</table>\n</div>"
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": " 0 1\n0 (kredi, kartı) 0.003737\n1 (yapı, kredi) 0.003303\n2 (talep, ediyorum) 0.003042\n3 (üyelik, ücreti) 0.002734\n4 (yıllık, kart) 0.002522\n5 (i̇ş, bankası) 0.002481\n6 (garanti, bankası) 0.002309\n7 (söz, konusu) 0.002171\n8 (kart, ücreti) 0.001962\n9 (adı, altında) 0.001648",
"text/html": "<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>0</th>\n <th>1</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>0</th>\n <td>(kredi, kartı)</td>\n <td>0.003737</td>\n </tr>\n <tr>\n <th>1</th>\n <td>(yapı, kredi)</td>\n <td>0.003303</td>\n </tr>\n <tr>\n <th>2</th>\n <td>(talep, ediyorum)</td>\n <td>0.003042</td>\n </tr>\n <tr>\n <th>3</th>\n <td>(üyelik, ücreti)</td>\n <td>0.002734</td>\n </tr>\n <tr>\n <th>4</th>\n <td>(yıllık, kart)</td>\n <td>0.002522</td>\n </tr>\n <tr>\n <th>5</th>\n <td>(i̇ş, bankası)</td>\n <td>0.002481</td>\n </tr>\n <tr>\n <th>6</th>\n <td>(garanti, bankası)</td>\n <td>0.002309</td>\n </tr>\n <tr>\n <th>7</th>\n <td>(söz, konusu)</td>\n <td>0.002171</td>\n </tr>\n <tr>\n <th>8</th>\n <td>(kart, ücreti)</td>\n <td>0.001962</td>\n </tr>\n <tr>\n <th>9</th>\n <td>(adı, altında)</td>\n <td>0.001648</td>\n </tr>\n </tbody>\n</table>\n</div>"
},
"metadata": {}
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "bg = [b[0] for b in bigrams[:100]]\n[(b,c) for i,b in enumerate(bg) for j,c in enumerate(bg) if (b[-2:]==c[:2]) and (j>i)][:10]",
"execution_count": 201,
"outputs": [
{
"output_type": "execute_result",
"execution_count": 201,
"data": {
"text/plain": "[(('yıllık', 'kart', 'ücreti'), ('kart', 'ücreti', 'aidatının')),\n (('göre', 'söz', 'konusu'), ('söz', 'konusu', 'yıllık')),\n (('göre', 'söz', 'konusu'), ('söz', 'konusu', 'sözleşme')),\n (('söz', 'konusu', 'yıllık'), ('konusu', 'yıllık', 'kart')),\n (('son', 'karara', 'göre'), ('karara', 'göre', 'söz')),\n (('hukuk', 'dairesince', 'verilen'), ('dairesince', 'verilen', '2011/47**')),\n (('hgk', '2010/1-93-88', 'sayılı'), ('2010/1-93-88', 'sayılı', 'karar')),\n (('sayılı', 'tüketicinin', 'korunması'),\n ('tüketicinin', 'korunması', 'hakkında')),\n (('tarafıma', 'iade', 'edilmesini'), ('iade', 'edilmesini', 'talep')),\n (('sayılı', 'karar', 'uyarınca'), ('karar', 'uyarınca', 'geriye'))]"
},
"metadata": {}
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "# Data Preperation"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "df['sentences'] = reviews\ndf.head()",
"execution_count": 251,
"outputs": [
{
"output_type": "execute_result",
"execution_count": 251,
"data": {
"text/plain": " id url \\\n1 11926957 https://www.sikayetvar.com/akbank/akbank-kart-... \n2 11926951 https://www.sikayetvar.com/akbank/akbankin-seb... \n3 11926792 https://www.sikayetvar.com/akbank/akbank-uyeli... \n4 11926732 https://www.sikayetvar.com/akbank/akbank-wings... \n5 11926532 https://www.sikayetvar.com/akbank/akbank-aidat... \n\n time user \\\n1 2019-05-05 01:23:00 3557187 \n2 2019-05-04 23:56:00 1833119 \n3 2019-05-04 22:58:00 5925576 \n4 2019-05-04 22:36:00 1347970 \n5 2019-05-04 21:26:00 1339767 \n\n complaint saved \\\n1 Akbank 'la yine bir sorunla uğraşmaktayım. Yıl... 1 \n2 Akbank kendi kafasına göre Axess kredi kartımı... 1 \n3 Akbank Axess kredi kartı kullanıyorum. 03/05/2... 1 \n4 Akbank Wings kart üyelik ücreti iade etmiyor, ... 0 \n5 Akbank Axess kredi kartına başvurdum ve kredi ... 1 \n\n sentences \n1 [Akbank 'la yine bir sorunla uğraşmaktayım., Y... \n2 [Akbank kendi kafasına göre Axess kredi kartım... \n3 [Akbank Axess kredi kartı kullanıyorum., 03/05... \n4 [Akbank Wings kart üyelik ücreti iade etmiyor,... \n5 [Akbank Axess kredi kartına başvurdum ve kredi... ",
"text/html": "<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>id</th>\n <th>url</th>\n <th>time</th>\n <th>user</th>\n <th>complaint</th>\n <th>saved</th>\n <th>sentences</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>1</th>\n <td>11926957</td>\n <td>https://www.sikayetvar.com/akbank/akbank-kart-...</td>\n <td>2019-05-05 01:23:00</td>\n <td>3557187</td>\n <td>Akbank 'la yine bir sorunla uğraşmaktayım. Yıl...</td>\n <td>1</td>\n <td>[Akbank 'la yine bir sorunla uğraşmaktayım., Y...</td>\n </tr>\n <tr>\n <th>2</th>\n <td>11926951</td>\n <td>https://www.sikayetvar.com/akbank/akbankin-seb...</td>\n <td>2019-05-04 23:56:00</td>\n <td>1833119</td>\n <td>Akbank kendi kafasına göre Axess kredi kartımı...</td>\n <td>1</td>\n <td>[Akbank kendi kafasına göre Axess kredi kartım...</td>\n </tr>\n <tr>\n <th>3</th>\n <td>11926792</td>\n <td>https://www.sikayetvar.com/akbank/akbank-uyeli...</td>\n <td>2019-05-04 22:58:00</td>\n <td>5925576</td>\n <td>Akbank Axess kredi kartı kullanıyorum. 03/05/2...</td>\n <td>1</td>\n <td>[Akbank Axess kredi kartı kullanıyorum., 03/05...</td>\n </tr>\n <tr>\n <th>4</th>\n <td>11926732</td>\n <td>https://www.sikayetvar.com/akbank/akbank-wings...</td>\n <td>2019-05-04 22:36:00</td>\n <td>1347970</td>\n <td>Akbank Wings kart üyelik ücreti iade etmiyor, ...</td>\n <td>0</td>\n <td>[Akbank Wings kart üyelik ücreti iade etmiyor,...</td>\n </tr>\n <tr>\n <th>5</th>\n <td>11926532</td>\n <td>https://www.sikayetvar.com/akbank/akbank-aidat...</td>\n <td>2019-05-04 21:26:00</td>\n <td>1339767</td>\n <td>Akbank Axess kredi kartına başvurdum ve kredi ...</td>\n <td>1</td>\n <td>[Akbank Axess kredi kartına başvurdum ve kredi...</td>\n </tr>\n </tbody>\n</table>\n</div>"
},
"metadata": {}
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "df.memory_usage(index=True,deep=True).sum()/(1024*1024)",
"execution_count": 252,
"outputs": [
{
"output_type": "execute_result",
"execution_count": 252,
"data": {
"text/plain": "115.77891731262207"
},
"metadata": {}
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "## Apply Regex Cleaner"
},
{
"metadata": {},
"cell_type": "markdown",
"source": "### Regex file"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "reg = pd.read_csv('reviewise/data/regex2.csv',sep='\\t', comment='#')\nreg.iloc[94:97,2:4]=1\nreg.to_csv('reviewise/data/regex2.csv',sep='\\t',index=False)\nreg.tail()",
"execution_count": 297,
"outputs": [
{
"output_type": "execute_result",
"execution_count": 297,
"data": {
"text/plain": " pattern sub x y \\\n93 \\.(?!(?:[^\"']*[\"'][^\"']*[\"'])*[^\"']*$) _DOT_ 1 1 \n94 \\. . \\n 1 1 \n95 \\? ? \\n 1 1 \n96 \\! ! \\n 1 1 \n97 (?<=[a-zA-Z\\*])\\s(?=[Bb]ey) _ 1 1 \n\n exp cat \n93 NaN General \n94 add line feed to dots Punctuations \n95 add line feed to dots Punctuations \n96 add line feed to excalamation marks Punctuations \n97 combine XXX Bey with underscore General ",
"text/html": "<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>pattern</th>\n <th>sub</th>\n <th>x</th>\n <th>y</th>\n <th>exp</th>\n <th>cat</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>93</th>\n <td>\\.(?!(?:[^\"']*[\"'][^\"']*[\"'])*[^\"']*$)</td>\n <td>_DOT_</td>\n <td>1</td>\n <td>1</td>\n <td>NaN</td>\n <td>General</td>\n </tr>\n <tr>\n <th>94</th>\n <td>\\.</td>\n <td>. \\n</td>\n <td>1</td>\n <td>1</td>\n <td>add line feed to dots</td>\n <td>Punctuations</td>\n </tr>\n <tr>\n <th>95</th>\n <td>\\?</td>\n <td>? \\n</td>\n <td>1</td>\n <td>1</td>\n <td>add line feed to dots</td>\n <td>Punctuations</td>\n </tr>\n <tr>\n <th>96</th>\n <td>\\!</td>\n <td>! \\n</td>\n <td>1</td>\n <td>1</td>\n <td>add line feed to excalamation marks</td>\n <td>Punctuations</td>\n </tr>\n <tr>\n <th>97</th>\n <td>(?&lt;=[a-zA-Z\\*])\\s(?=[Bb]ey)</td>\n <td>_</td>\n <td>1</td>\n <td>1</td>\n <td>combine XXX Bey with underscore</td>\n <td>General</td>\n </tr>\n </tbody>\n</table>\n</div>"
},
"metadata": {}
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "### Modify regex file"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "p = \"\"\"\\s\\d{0,2}[\\\\s_]{0,1}([Oo]cak|[Şş]ubat|[Mm]art|[Nn]isan|[Mm]ayıs|[Hh]aziran|[Tt]emmuz|[Aa]ğustos|[Ee]ylül|[Ee]kim|[Kk]asım|[Aa]ralık)[\\\\s\\\\_]{0,1}\\\\d{0,4}[\\\\']{0,1}\"\"\"\nprint(re.sub(p, ' XX_XX_XXXX', 'asdf as Mayıs 15' ))\nreg.iloc[79,0] = p\nreg.iloc[79,0]",
"execution_count": 385,
"outputs": [
{
"output_type": "stream",
"text": "asdf as XX_XX_XXXX\n",
"name": "stdout"
},
{
"output_type": "execute_result",
"execution_count": 385,
"data": {
"text/plain": "\"\\\\s\\\\d{0,2}[\\\\s_]{0,1}([Oo]cak|[Şş]ubat|[Mm]art|[Nn]isan|[Mm]ayıs|[Hh]aziran|[Tt]emmuz|[Aa]ğustos|[Ee]ylül|[Ee]kim|[Kk]asım|[Aa]ralık)[\\\\s\\\\_]{0,1}\\\\d{0,4}[\\\\']{0,1}\""
},
"metadata": {}
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "reg = pd.read_csv('reviewise/data/regex2.csv',sep='\\t', comment='#')\n\np = '\\d'\ns = '9'\nprint(re.sub(p,s,'ads 234 as 23141234'))\n#pattern\tsub\tx\ty\texp\tcat\nreg = reg.append(pd.DataFrame([[p,s,1,1,'convert digits to 9','Numbers']], columns=reg.columns),ignore_index=True,)\ndisplay(reg.tail())\n\nreg.to_csv('reviewise/data/regex2.csv',sep='\\t',index=False)",
"execution_count": 386,
"outputs": [
{
"output_type": "stream",
"text": "ads 999 as 99999999\n",
"name": "stdout"
},
{
"output_type": "display_data",
"data": {
"text/plain": " pattern sub x y \\\n94 \\. . \\n 1 1 \n95 \\? ? \\n 1 1 \n96 \\! ! \\n 1 1 \n97 (?<=[a-zA-Z\\*])\\s(?=[Bb]ey) _ 1 1 \n98 \\d 9 1 1 \n\n exp cat \n94 add line feed to dots Punctuations \n95 add line feed to dots Punctuations \n96 add line feed to excalamation marks Punctuations \n97 combine XXX Bey with underscore General \n98 convert digits to 9 Numbers ",
"text/html": "<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>pattern</th>\n <th>sub</th>\n <th>x</th>\n <th>y</th>\n <th>exp</th>\n <th>cat</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>94</th>\n <td>\\.</td>\n <td>. \\n</td>\n <td>1</td>\n <td>1</td>\n <td>add line feed to dots</td>\n <td>Punctuations</td>\n </tr>\n <tr>\n <th>95</th>\n <td>\\?</td>\n <td>? \\n</td>\n <td>1</td>\n <td>1</td>\n <td>add line feed to dots</td>\n <td>Punctuations</td>\n </tr>\n <tr>\n <th>96</th>\n <td>\\!</td>\n <td>! \\n</td>\n <td>1</td>\n <td>1</td>\n <td>add line feed to excalamation marks</td>\n <td>Punctuations</td>\n </tr>\n <tr>\n <th>97</th>\n <td>(?&lt;=[a-zA-Z\\*])\\s(?=[Bb]ey)</td>\n <td>_</td>\n <td>1</td>\n <td>1</td>\n <td>combine XXX Bey with underscore</td>\n <td>General</td>\n </tr>\n <tr>\n <th>98</th>\n <td>\\d</td>\n <td>9</td>\n <td>1</td>\n <td>1</td>\n <td>convert digits to 9</td>\n <td>Numbers</td>\n </tr>\n </tbody>\n</table>\n</div>"
},
"metadata": {}
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "### Conversion function"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "reg = pd.read_csv('reviewise/data/regex2.csv',sep='\\t', comment='#')\n\ndef cleanSentence(op):\n o = '|'.join(op) if type(op)==list else op\n x = str(o)\n #t = str(o)\n ti = 0\n \n x = x.replace(\"''\",'\"')\n #t = t.replace(\"''\",'\"')\n \n #reg = pd.read_csv('reviewise/data/regex2.csv',sep='\\t', comment='#')\n\n for i,r in reg.iterrows():\n if r.x==1:\n x = re.sub(r['pattern'], r['sub'], x)\n if r.y==1: \n #t = re.sub(r['pattern'], r['sub'], t)\n ti += 1\n\n # get rid of empty tokens\n x = ' '.join([xs for xs in x.split(' ') if xs!=''])\n #t = ' '.join([ts for ts in t.split(' ') if ts!=''])\n \n #reviews = re.split('\\. |\\? |\\! ', review)\n x = re.split('\\n', x)\n #t = re.split('\\n', t)\n \n len_x = len([w for s in x for w in s.split(' ') if w!=''])\n #len_t = len([w for s in t for w in s.split(' ') if w!=''])\n \n x = ' '.join([k for k in x if k!=''])\n #t = ' '.join([k for k in t if k!=''])\n \n if type(op)==list:\n x = x.split('|')\n #t = t.split('|')\n return x #op, x, t, len_x==len_t\n\ncleanSentence(reviews[0])",
"execution_count": 387,
"outputs": [
{
"output_type": "execute_result",
"execution_count": 387,
"data": {
"text/plain": "['Akbank _EK yine bir sorunla uğraşmaktayım . ',\n 'Yıllık XXX_TL kart aidatı ücretin almışlar yahu insaf hiçbir banka bunu yapmıyor , rica ediyorum Allah aşkına iptal edin işlemimi böyle bir şey olamaz . ',\n 'Acil dönüş bekliyorum . ',\n 'Sayın yetkili ve lütfen arayın beni dandik bir mesaj mail değil canlı bir insan arasın ve derdime çözüm lütfen . ']"
},
"metadata": {}
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "# 27 minutes\n%time df['sentences_x'] = df.sentences.apply(lambda x: cleanSentence(x))",
"execution_count": 388,
"outputs": [
{
"output_type": "stream",
"text": "Wall time: 28min 43s\n",
"name": "stdout"
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "### Save df to file"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "pickle_out = open(\"data/df_reg.pickle\",\"wb\")\npickle.dump(df, pickle_out)\npickle_out.close()",
"execution_count": 389,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "df.memory_usage(index=True,deep=True).sum()/(1024*1024)",
"execution_count": 390,
"outputs": [
{
"output_type": "execute_result",
"execution_count": 390,
"data": {
"text/plain": "176.31875610351562"
},
"metadata": {}
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "display(df.head())\nprint(df.iloc[1,-1])",
"execution_count": 391,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": " id url \\\n1 11926957 https://www.sikayetvar.com/akbank/akbank-kart-... \n2 11926951 https://www.sikayetvar.com/akbank/akbankin-seb... \n3 11926792 https://www.sikayetvar.com/akbank/akbank-uyeli... \n4 11926732 https://www.sikayetvar.com/akbank/akbank-wings... \n5 11926532 https://www.sikayetvar.com/akbank/akbank-aidat... \n\n time user \\\n1 2019-05-05 01:23:00 3557187 \n2 2019-05-04 23:56:00 1833119 \n3 2019-05-04 22:58:00 5925576 \n4 2019-05-04 22:36:00 1347970 \n5 2019-05-04 21:26:00 1339767 \n\n complaint saved \\\n1 Akbank 'la yine bir sorunla uğraşmaktayım. Yıl... 1 \n2 Akbank kendi kafasına göre Axess kredi kartımı... 1 \n3 Akbank Axess kredi kartı kullanıyorum. 03/05/2... 1 \n4 Akbank Wings kart üyelik ücreti iade etmiyor, ... 0 \n5 Akbank Axess kredi kartına başvurdum ve kredi ... 1 \n\n sentences \\\n1 [Akbank 'la yine bir sorunla uğraşmaktayım., Y... \n2 [Akbank kendi kafasına göre Axess kredi kartım... \n3 [Akbank Axess kredi kartı kullanıyorum., 03/05... \n4 [Akbank Wings kart üyelik ücreti iade etmiyor,... \n5 [Akbank Axess kredi kartına başvurdum ve kredi... \n\n sentences_x \n1 [Akbank _EK yine bir sorunla uğraşmaktayım . ... \n2 [Akbank kendi kafasına göre Axess kredi kartım... \n3 [Akbank Axess kredi kartı kullanıyorum . , X... \n4 [Akbank Wings kart üyelik ücreti iade etmiyor ... \n5 [Akbank Axess kredi kartına başvurdum ve kredi... ",
"text/html": "<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>id</th>\n <th>url</th>\n <th>time</th>\n <th>user</th>\n <th>complaint</th>\n <th>saved</th>\n <th>sentences</th>\n <th>sentences_x</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>1</th>\n <td>11926957</td>\n <td>https://www.sikayetvar.com/akbank/akbank-kart-...</td>\n <td>2019-05-05 01:23:00</td>\n <td>3557187</td>\n <td>Akbank 'la yine bir sorunla uğraşmaktayım. Yıl...</td>\n <td>1</td>\n <td>[Akbank 'la yine bir sorunla uğraşmaktayım., Y...</td>\n <td>[Akbank _EK yine bir sorunla uğraşmaktayım . ...</td>\n </tr>\n <tr>\n <th>2</th>\n <td>11926951</td>\n <td>https://www.sikayetvar.com/akbank/akbankin-seb...</td>\n <td>2019-05-04 23:56:00</td>\n <td>1833119</td>\n <td>Akbank kendi kafasına göre Axess kredi kartımı...</td>\n <td>1</td>\n <td>[Akbank kendi kafasına göre Axess kredi kartım...</td>\n <td>[Akbank kendi kafasına göre Axess kredi kartım...</td>\n </tr>\n <tr>\n <th>3</th>\n <td>11926792</td>\n <td>https://www.sikayetvar.com/akbank/akbank-uyeli...</td>\n <td>2019-05-04 22:58:00</td>\n <td>5925576</td>\n <td>Akbank Axess kredi kartı kullanıyorum. 03/05/2...</td>\n <td>1</td>\n <td>[Akbank Axess kredi kartı kullanıyorum., 03/05...</td>\n <td>[Akbank Axess kredi kartı kullanıyorum . , X...</td>\n </tr>\n <tr>\n <th>4</th>\n <td>11926732</td>\n <td>https://www.sikayetvar.com/akbank/akbank-wings...</td>\n <td>2019-05-04 22:36:00</td>\n <td>1347970</td>\n <td>Akbank Wings kart üyelik ücreti iade etmiyor, ...</td>\n <td>0</td>\n <td>[Akbank Wings kart üyelik ücreti iade etmiyor,...</td>\n <td>[Akbank Wings kart üyelik ücreti iade etmiyor ...</td>\n </tr>\n <tr>\n <th>5</th>\n <td>11926532</td>\n <td>https://www.sikayetvar.com/akbank/akbank-aidat...</td>\n <td>2019-05-04 21:26:00</td>\n <td>1339767</td>\n <td>Akbank Axess kredi kartına başvurdum ve kredi ...</td>\n <td>1</td>\n <td>[Akbank Axess kredi kartına başvurdum ve kredi...</td>\n <td>[Akbank Axess kredi kartına başvurdum ve kredi...</td>\n </tr>\n </tbody>\n</table>\n</div>"
},
"metadata": {}
},
{
"output_type": "stream",
"text": "['Akbank kendi kafasına göre Axess kredi kartımızın kart tarihi gelmeden yeni kart basıp yollamış , kart PTT tarafından sözde mevcut adresimize ulaşılamıyor diye kartı bankaya iade etmiş iade tarihi XX_AY bu süreçte ne kuryeden ne de bankadan bize ne bir mesaj ne de telefonla ulaşım sağlamadı kart iade edildikten sonra iptal edilmiş iptalden sonra eşime XX_AY kartınızı bankamızdan alabilirsiniz , diye mesaj atılmış eşim bankaya gittiğinde adınıza gelen ya da basılan bir kart yok deyip göndermişler eşimin mesajı göstermesine rağmen şimdi soruyorum size; düzenli ödemesi yapılan mevcutta borcu olan bir kartı nasıl iptal edebiliyorsunuz ? ', 'Yeni başvuru yapıyoruz düzenli ödemeye rağmen ret cevabı nasıl alıyoruz ? ', 'Ayrıca kartı 99_Mayıs _EK iptal ediyorsunuz XX_AY basılan ve iade edilen kartı mayısta ne sebeple iptal ediyorsunuz . ']\n",
"name": "stdout"
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "### Refresh Stats"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "#len([w for r in df['sentences_x'].values[:] for s in r for w in s.split() if (w.lower() not in sw) and (w not in string.punctuation)])\n\nreviews = df.sentences_x.values\nsentences = [s for r in reviews for s in r]\nwords = [w.lower() for s in sentences for w in word_tokenize(s) if (w.lower() not in sw) and (w not in string.punctuation)]\nwords_df = pd.DataFrame(words,columns=['word'])\n\nwords_u = pd.DataFrame(words_df.word.value_counts().sort_values(ascending=False)).reset_index()\nwords_u.columns=['word','count']\nwords_u['stem'] = words_u.word.apply(lambda x: kokbul1.stemWord(x))\n\nprint('number of complaints:\\t\\t', len(reviews))\nprint('number of sentences :\\t\\t', len(sentences))\nprint('number of words :\\t\\t', len(words))\nprint('number of unique words:\\t\\t', len(words_u))\nprint('number of unique stem words:\\t', len(np.unique(words_u.stem.values)))",
"execution_count": 393,
"outputs": [
{
"output_type": "stream",
"text": "number of complaints:\t\t 84811\nnumber of sentences :\t\t 451832\nnumber of words :\t\t 5252142\nnumber of unique words:\t\t 112132\nnumber of unique stem words:\t 45043\n",
"name": "stdout"
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "## Vector Representation of Text\n\nBusinesses don’t have enough time and tools to analyze customer reviews and act on them. This leads to loss of ROI and brand value. (https://hackernoon.com/word-embeddings-in-nlp-and-its-applications-fab15eaf7430)\n\nEmbedding methods (alternatively referred to as “encoding”, “vectorising”, etc) convert symbolic representations (i.e. words, emojis, categorical items, dates, times, other features, etc) into meaningful numbers (i.e. real numbers that capture underlying semantic relations between the symbols).\nhttps://medium.com/@b.terryjack/nlp-everything-about-word-embeddings-9ea21f51ccfe\n\nSince the advent of word2vec, neural word embeddings have become a go to method for encapsulating distributional semantics in text applications. the strengths and weaknesses of using pre-trained word embeddings and demonstrate how to incorporate more complex semantic representation schemes such as **Semantic Role Labeling, Abstract Meaning Representation and Semantic Dependency Parsing** into your applications.\nhttps://towardsdatascience.com/beyond-word-embeddings-part-2-word-vectors-nlp-modeling-from-bow-to-bert-4ebd4711d0ec"
},
{
"metadata": {},
"cell_type": "markdown",
"source": "### Statistical Embeddings"
},
{
"metadata": {},
"cell_type": "markdown",
"source": "#### Bag Of Words"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "#### TF-IDF"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "### Neural Embeddings\n\nIn NLP CNNs are able to model local ordering by acting as n-gram feature extractors for embeddings. CNN models have contributed to state of the art results in classification and a variety of other NLP tasks."
},
{
"metadata": {},
"cell_type": "markdown",
"source": "#### Word2Vec"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "#### Sentence2Vec"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "#### Doc2Vec"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "#### Glove"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "#### Fast Text"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "#### ELMo and BERT"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "# Modeling "
},
{
"metadata": {},
"cell_type": "markdown",
"source": "# Future Work\n\n* Network representation of dependencies\n* Reviews on timeline, change of LDA over time\n* decrease/increase of a specific topic\n* moview from streaming images of a review, different movies\n\n* Natural Language Understanding"
},
{
"metadata": {},
"cell_type": "markdown",
"source": "# Far Future\n\n* Understanding human thoughts"
}
],
"metadata": {
"kernelspec": {
"name": "python3",
"display_name": "Python 3",
"language": "python"
},
"gist_id": "9f8580b60d02261cf565785d4a854e76",
"language_info": {
"name": "python",
"version": "3.7.3",
"mimetype": "text/x-python",
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"pygments_lexer": "ipython3",
"nbconvert_exporter": "python",
"file_extension": ".py"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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