{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "## Road Speed Limits by Countries" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We use the data from wikipedia article: \n", "\n", "https://en.wikipedia.org/wiki/Speed_limits_by_country" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import re" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "import pandas as pd" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "import numpy as np" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Get data" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "wiki_link = \"https://en.wikipedia.org/wiki/Speed_limits_by_country\"" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "df = pd.read_html(wiki_link)\n", "df = df[1]" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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CountryWithin townsControlled-access highway/ motorway/ expresswayOutside built-up areas/regional highwaysAutomobiles & motorcyclesLorries or automobiles with trailerEnforcement tolerance
0Albania[4][5]401108080–9060–70NaN
1Argentina40–60100–1308080–11080NaN
2Australia[6]40–60100–130[fn 2]100[fn 3]100–110[fn 2]100[fn 3]3 in Victoria, 10% over speed limit in other s...
3Austria[7]5013080–10010080–100NaN
4Azerbaijan[8]40–60110NaN90NaNNaN
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" ], "text/plain": [ " Country Within towns Controlled-access highway/ motorway/ expressway \\\n", "0 Albania[4][5] 40 110 \n", "1 Argentina 40–60 100–130 \n", "2 Australia[6] 40–60 100–130[fn 2] \n", "3 Austria[7] 50 130 \n", "4 Azerbaijan[8] 40–60 110 \n", "\n", " Outside built-up areas/regional highways Automobiles & motorcycles \\\n", "0 80 80–90 \n", "1 80 80–110 \n", "2 100[fn 3] 100–110[fn 2] \n", "3 80–100 100 \n", "4 NaN 90 \n", "\n", " Lorries or automobiles with trailer \\\n", "0 60–70 \n", "1 80 \n", "2 100[fn 3] \n", "3 80–100 \n", "4 NaN \n", "\n", " Enforcement tolerance \n", "0 NaN \n", "1 NaN \n", "2 3 in Victoria, 10% over speed limit in other s... \n", "3 NaN \n", "4 NaN " ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.head()" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Index(['Country', 'Within towns',\n", " 'Controlled-access highway/ motorway/ expressway',\n", " 'Outside built-up areas/regional highways', 'Automobiles & motorcycles',\n", " 'Lorries or automobiles with trailer', 'Enforcement tolerance'],\n", " dtype='object')" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.columns" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [], "source": [ "rename_cols = {\n", " 'Country': 'country',\n", " 'Trucks, or automobiles with trailer': 'trucks_and_trailers',\n", " 'Trucks, or automobiles with trailer, outside built-up areas/highways': 'trucks_and_trailers_non_built_up'\n", "}\n", "df.rename(columns=rename_cols, inplace=True)" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "ename": "KeyError", "evalue": "\"['trucks_and_trailers', 'trucks_and_trailers_non_built_up'] not in index\"", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)", "Cell \u001b[0;32mIn[9], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m df_trucks \u001b[39m=\u001b[39m df[rename_cols\u001b[39m.\u001b[39;49mvalues()]\n", "File \u001b[0;32m~/anaconda3/envs/mini-lab/lib/python3.9/site-packages/pandas/core/frame.py:3813\u001b[0m, in \u001b[0;36mDataFrame.__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m 3811\u001b[0m \u001b[39mif\u001b[39;00m is_iterator(key):\n\u001b[1;32m 3812\u001b[0m key \u001b[39m=\u001b[39m \u001b[39mlist\u001b[39m(key)\n\u001b[0;32m-> 3813\u001b[0m indexer \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mcolumns\u001b[39m.\u001b[39;49m_get_indexer_strict(key, \u001b[39m\"\u001b[39;49m\u001b[39mcolumns\u001b[39;49m\u001b[39m\"\u001b[39;49m)[\u001b[39m1\u001b[39m]\n\u001b[1;32m 3815\u001b[0m \u001b[39m# take() does not accept boolean indexers\u001b[39;00m\n\u001b[1;32m 3816\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mgetattr\u001b[39m(indexer, \u001b[39m\"\u001b[39m\u001b[39mdtype\u001b[39m\u001b[39m\"\u001b[39m, \u001b[39mNone\u001b[39;00m) \u001b[39m==\u001b[39m \u001b[39mbool\u001b[39m:\n", "File \u001b[0;32m~/anaconda3/envs/mini-lab/lib/python3.9/site-packages/pandas/core/indexes/base.py:6070\u001b[0m, in \u001b[0;36mIndex._get_indexer_strict\u001b[0;34m(self, key, axis_name)\u001b[0m\n\u001b[1;32m 6067\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[1;32m 6068\u001b[0m keyarr, indexer, new_indexer \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_reindex_non_unique(keyarr)\n\u001b[0;32m-> 6070\u001b[0m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_raise_if_missing(keyarr, indexer, axis_name)\n\u001b[1;32m 6072\u001b[0m keyarr \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mtake(indexer)\n\u001b[1;32m 6073\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39misinstance\u001b[39m(key, Index):\n\u001b[1;32m 6074\u001b[0m \u001b[39m# GH 42790 - Preserve name from an Index\u001b[39;00m\n", "File \u001b[0;32m~/anaconda3/envs/mini-lab/lib/python3.9/site-packages/pandas/core/indexes/base.py:6133\u001b[0m, in \u001b[0;36mIndex._raise_if_missing\u001b[0;34m(self, key, indexer, axis_name)\u001b[0m\n\u001b[1;32m 6130\u001b[0m \u001b[39mraise\u001b[39;00m \u001b[39mKeyError\u001b[39;00m(\u001b[39mf\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mNone of [\u001b[39m\u001b[39m{\u001b[39;00mkey\u001b[39m}\u001b[39;00m\u001b[39m] are in the [\u001b[39m\u001b[39m{\u001b[39;00maxis_name\u001b[39m}\u001b[39;00m\u001b[39m]\u001b[39m\u001b[39m\"\u001b[39m)\n\u001b[1;32m 6132\u001b[0m not_found \u001b[39m=\u001b[39m \u001b[39mlist\u001b[39m(ensure_index(key)[missing_mask\u001b[39m.\u001b[39mnonzero()[\u001b[39m0\u001b[39m]]\u001b[39m.\u001b[39munique())\n\u001b[0;32m-> 6133\u001b[0m \u001b[39mraise\u001b[39;00m \u001b[39mKeyError\u001b[39;00m(\u001b[39mf\u001b[39m\u001b[39m\"\u001b[39m\u001b[39m{\u001b[39;00mnot_found\u001b[39m}\u001b[39;00m\u001b[39m not in index\u001b[39m\u001b[39m\"\u001b[39m)\n", "\u001b[0;31mKeyError\u001b[0m: \"['trucks_and_trailers', 'trucks_and_trailers_non_built_up'] not in index\"" ] } ], "source": [ "df_trucks = df[rename_cols.values()]" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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countrytrucks_and_trailerstrucks_and_trailers_non_built_up
150Vanuatu [76]NaNNaN
51Greenland (Denmark)NaNNaN
77LebanonNaNNaN
155Zambia7555-70
132SudanNaNNaN
69JerseyNaN64 (40 mph)
90Moldova70NaN
24CanadaMain article: Speed limits in Canada20–120 (12-75 mph)30–120 130 Proposed[17]
43Faroe Islands (Denmark)NaNNaN
143Uganda [70]NaNNaN
\n", "
" ], "text/plain": [ " country trucks_and_trailers \\\n", "150 Vanuatu [76] NaN \n", "51 Greenland (Denmark) NaN \n", "77 Lebanon NaN \n", "155 Zambia 75 \n", "132 Sudan NaN \n", "69 Jersey NaN \n", "90 Moldova 70 \n", "24 CanadaMain article: Speed limits in Canada 20–120 (12-75 mph) \n", "43 Faroe Islands (Denmark) NaN \n", "143 Uganda [70] NaN \n", "\n", " trucks_and_trailers_non_built_up \n", "150 NaN \n", "51 NaN \n", "77 NaN \n", "155 55-70 \n", "132 NaN \n", "69 64 (40 mph) \n", "90 NaN \n", "24 30–120 130 Proposed[17] \n", "43 NaN \n", "143 NaN " ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_trucks.sample(10)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array(['Vanuatu [76]', 'South Korea (Republic of Korea)',\n", " 'Albania[5][6]Main article: Speed limits in Albania',\n", " 'Hungary Main article: Speed limits in Hungary', 'Morocco', 'Niue',\n", " 'San Marino', 'Peru', 'Micronesia [48]',\n", " 'Belarus Main article: Speed limits in Belarus', 'Nicaragua',\n", " 'Palestine', 'Singapore',\n", " 'Ireland Main article: Speed limits in the Republic of Ireland',\n", " 'Georgia Main article: Speed limits in Georgia', 'Curaçao',\n", " 'Czech Republic Main article: Speed limits in the Czech Republic',\n", " 'Samoa', 'Norfolk Island', 'Finland'], dtype=object)" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_trucks.country.sample(20).values" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Clean Up Dataset" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "def clean_country_name(name):\n", " \n", " res = name.split(\"[\")[0]\n", " res = res.split(\"Main article\")[0]\n", " res = res.strip()\n", " \n", " return res\n", " " ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/Users/lei.ma/opt/anaconda3/envs/mini-code/lib/python3.6/site-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame.\n", "Try using .loc[row_indexer,col_indexer] = value instead\n", "\n", "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", " \"\"\"Entry point for launching an IPython kernel.\n" ] } ], "source": [ "df_trucks['country'] = df_trucks.country.apply(clean_country_name)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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countrytrucks_and_trailerstrucks_and_trailers_non_built_up
122Serbia7080 (car) 90/100 (truck)
62Iraq90120
44FijiNaNNaN
93MongoliaNaNNaN
47Georgia6080
105Norfolk IslandNaN50
74Kyrgyzstan7090-70
42EthiopiaNaNNaN
130Spain70–80[fn 32]80–90[fn 33]
26Chile100 (90 for trucks)100
14Belgium: Wallonia Brussels60–9090
27Christmas IslandNaN90
39EgyptNaNNaN
77LebanonNaNNaN
96NamibiaNaNNaN
24Canada20–120 (12-75 mph)30–120 130 Proposed[17]
38Ecuador40–70 (50–90 for buses)90
16BeninNaNNaN
117QatarNaNNaN
7Austria70–100[fn 5]80–100[fn 6]
\n", "
" ], "text/plain": [ " country trucks_and_trailers \\\n", "122 Serbia 70 \n", "62 Iraq 90 \n", "44 Fiji NaN \n", "93 Mongolia NaN \n", "47 Georgia 60 \n", "105 Norfolk Island NaN \n", "74 Kyrgyzstan 70 \n", "42 Ethiopia NaN \n", "130 Spain 70–80[fn 32] \n", "26 Chile 100 (90 for trucks) \n", "14 Belgium: Wallonia Brussels 60–90 \n", "27 Christmas Island NaN \n", "39 Egypt NaN \n", "77 Lebanon NaN \n", "96 Namibia NaN \n", "24 Canada 20–120 (12-75 mph) \n", "38 Ecuador 40–70 (50–90 for buses) \n", "16 Benin NaN \n", "117 Qatar NaN \n", "7 Austria 70–100[fn 5] \n", "\n", " trucks_and_trailers_non_built_up \n", "122 80 (car) 90/100 (truck) \n", "62 120 \n", "44 NaN \n", "93 NaN \n", "47 80 \n", "105 50 \n", "74 90-70 \n", "42 NaN \n", "130 80–90[fn 33] \n", "26 100 \n", "14 90 \n", "27 90 \n", "39 NaN \n", "77 NaN \n", "96 NaN \n", "24 30–120 130 Proposed[17] \n", "38 90 \n", "16 NaN \n", "117 NaN \n", "7 80–100[fn 6] " ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_trucks.sample(20)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([nan, '60–70', '80', '90', nan, nan,\n", " '80–100 trucks and road trains only', '70–100[fn 5]', nan, nan,\n", " nan, nan, '70', '60–70', '60–90', nan, nan, nan, '80', '90', '80',\n", " '70', '80', nan, '20–120 (12-75\\xa0mph)', '60-80',\n", " '100 (90 for trucks)', nan, '60', '60',\n", " '90 (buses), 75 (heavy goods)', '80', nan, nan, '80', '80', '80',\n", " nan, '40–70 (50–90 for buses)', nan, nan, '90', nan, nan, nan,\n", " '80', '60[fn 14]-110', '60',\n", " '80 (trucks) / 100 (automobiles with trailer and buses)', nan,\n", " '80 (school buses 60)', nan, nan, nan, nan, nan, '70[fn 20]', '70',\n", " '80', '65', '80', '70–110', '90', '80–90', nan, '80', '70', nan,\n", " '80 (over 8t)', nan, nan, '30', nan, '70–100', '70', '90', '80',\n", " nan, nan, '80', '70–80–90', '90', '?', nan, '100', nan, '50–70',\n", " nan, '60', nan, '70', nan, nan, nan, nan, '95 (60\\xa0mph)', nan,\n", " nan, nan, 'regular within built-up area restrictions', nan,\n", " '80–90', nan, nan, nan, nan, nan,\n", " '80, 60 without brakes on trailer', '80\\xa0km/h', '60', nan, nan,\n", " '70–80',\n", " '90 (buses)80 (for trucks)70 (for school buses and dangerous goods)',\n", " '40–80', '70', '70–80', nan, '8090 (E-roads)', '70–90', nan, nan,\n", " '70', '60', '90', '80', '60', '40–80', '60', '40–60',\n", " '70–80[fn 32]', '40 (25\\xa0mph) (TukTuk)', nan, 'none',\n", " 'Lorries 80 90 without trailer on motorways only (as posted). Buses 80 100 without trailer, on any road (as posted).',\n", " '80', '60–80', '100',\n", " 'TruckBangkok Metropolitan & Pattaya City: 60Others: 80Long VehicleBangkok Metropolitan & Pattaya City: 45Others: 60',\n", " '50', nan, '80', nan, nan, '70–90', '50–80',\n", " '80–97 (50-60\\xa0mph) dependent on class (64–97 (40-60\\xa0mph) in Scotland)[fn 39]',\n", " 'Restrictions only in few states, typically 16\\xa0km/h (10\\xa0mph) lower',\n", " 'none', '70', nan, nan, '40–60', '70', nan, '75', '80'],\n", " dtype=object)" ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_trucks.trucks_and_trailers.values" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "def clean_speed(speed, mode=None):\n", " if mode is None:\n", " mode = \"max\"\n", " \n", " if isinstance(speed, str):\n", " res = re.sub('\\[[^>]+\\]', '', speed)\n", " res = re.sub('\\([^>]+\\)', '', res)\n", "\n", " res = [int(e) for e in re.split(\"[^0-9]\", res) if e != '']\n", " else:\n", " res = None\n", " \n", " if res:\n", " if mode == \"max\":\n", " res = max(res)\n", " elif mode == \"min\":\n", " res = min(res)\n", " else:\n", " raise NotImplementedError(f\"mode = {mode} has not yet been implemented\")\n", " else:\n", " res = None\n", " \n", " return res" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "test_string = df_trucks.iloc[138].trucks_and_trailers" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "80" ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ "clean_speed(test_string)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/Users/lei.ma/opt/anaconda3/envs/mini-code/lib/python3.6/site-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame.\n", "Try using .loc[row_indexer,col_indexer] = value instead\n", "\n", "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", " \"\"\"Entry point for launching an IPython kernel.\n", "/Users/lei.ma/opt/anaconda3/envs/mini-code/lib/python3.6/site-packages/ipykernel_launcher.py:2: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame.\n", "Try using .loc[row_indexer,col_indexer] = value instead\n", "\n", "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", " \n" ] } ], "source": [ "df_trucks['trucks_and_trailers'] = df_trucks.trucks_and_trailers.apply(clean_speed)\n", "df_trucks['trucks_and_trailers_non_built_up'] = df_trucks.trucks_and_trailers_non_built_up.apply(clean_speed)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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countrytrucks_and_trailerstrucks_and_trailers_non_built_up
117QatarNaNNaN
153Vietnam70.070.0
31Croatia80.080.0
18Bosnia and Herzegovina80.0NaN
5AndorraNaNNaN
104NigeriaNaNNaN
106North KoreaNaNNaN
97MicronesiaNaNNaN
111Papua New GuineaNaNNaN
61Iran110.0110.0
59India65.050.0
151VaticanNaNNaN
45Finland80.080.0
88Malta60.0NaN
12Belarus70.090.0
48Germany80.080.0
32CubaNaNNaN
46France110.0130.0
119Russia90.090.0
148UruguayNaNNaN
\n", "
" ], "text/plain": [ " country trucks_and_trailers \\\n", "117 Qatar NaN \n", "153 Vietnam 70.0 \n", "31 Croatia 80.0 \n", "18 Bosnia and Herzegovina 80.0 \n", "5 Andorra NaN \n", "104 Nigeria NaN \n", "106 North Korea NaN \n", "97 Micronesia NaN \n", "111 Papua New Guinea NaN \n", "61 Iran 110.0 \n", "59 India 65.0 \n", "151 Vatican NaN \n", "45 Finland 80.0 \n", "88 Malta 60.0 \n", "12 Belarus 70.0 \n", "48 Germany 80.0 \n", "32 Cuba NaN \n", "46 France 110.0 \n", "119 Russia 90.0 \n", "148 Uruguay NaN \n", "\n", " trucks_and_trailers_non_built_up \n", "117 NaN \n", "153 70.0 \n", "31 80.0 \n", "18 NaN \n", "5 NaN \n", "104 NaN \n", "106 NaN \n", "97 NaN \n", "111 NaN \n", "61 110.0 \n", "59 50.0 \n", "151 NaN \n", "45 80.0 \n", "88 NaN \n", "12 90.0 \n", "48 80.0 \n", "32 NaN \n", "46 130.0 \n", "119 90.0 \n", "148 NaN " ] }, "execution_count": 19, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_trucks.sample(20)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Validate results" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Check if speed limit is too high" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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countrytrucks_and_trailerstrucks_and_trailers_non_built_up
118Romania8090.090.0
\n", "
" ], "text/plain": [ " country trucks_and_trailers trucks_and_trailers_non_built_up\n", "118 Romania 8090.0 90.0" ] }, "execution_count": 20, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_trucks.loc[\n", " df_trucks.trucks_and_trailers > 200\n", "]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Here is the original data" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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countryWithin towns(officially: within built-up area[4] or Urban road)Automobiles & motorcycles (single carriageway)Automobiles & motorcycles Expressways/motorways (dual carriageway)trucks_and_trailerstrucks_and_trailers_non_built_upEnforcement toleranceUnnamed: 7
118Romania Main article: Speed limits in Romania5070 (some DN stretches)90100 (E-roads)130[fn 30] (motorways)100 (expressways)8090 (E-roads)90 (expressways)110 (motorways)10 km/hNaN
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" ], "text/plain": [ " country \\\n", "118 Romania Main article: Speed limits in Romania \n", "\n", " Within towns(officially: within built-up area[4] or Urban road) \\\n", "118 5070 (some DN stretches) \n", "\n", " Automobiles & motorcycles (single carriageway) \\\n", "118 90100 (E-roads) \n", "\n", " Automobiles & motorcycles Expressways/motorways (dual carriageway) \\\n", "118 130[fn 30] (motorways)100 (expressways) \n", "\n", " trucks_and_trailers trucks_and_trailers_non_built_up \\\n", "118 8090 (E-roads) 90 (expressways)110 (motorways) \n", "\n", " Enforcement tolerance Unnamed: 7 \n", "118 10 km/h NaN " ] }, "execution_count": 21, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.loc[\n", " (\n", " df_trucks.trucks_and_trailers > 200\n", " )\n", "]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Other columns" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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countryWithin towns(officially: within built-up area[4] or Urban road)Automobiles & motorcycles (single carriageway)Automobiles & motorcycles Expressways/motorways (dual carriageway)trucks_and_trailerstrucks_and_trailers_non_built_upEnforcement toleranceUnnamed: 7
\n", "
" ], "text/plain": [ "Empty DataFrame\n", "Columns: [country, Within towns(officially: within built-up area[4] or Urban road), Automobiles & motorcycles (single carriageway), Automobiles & motorcycles Expressways/motorways (dual carriageway), trucks_and_trailers, trucks_and_trailers_non_built_up, Enforcement tolerance, Unnamed: 7]\n", "Index: []" ] }, "execution_count": 22, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.loc[\n", " (\n", " df_trucks.trucks_and_trailers_non_built_up > 200\n", " )\n", "]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Fix the data" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/Users/lei.ma/opt/anaconda3/envs/mini-code/lib/python3.6/site-packages/pandas/core/indexing.py:965: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame.\n", "Try using .loc[row_indexer,col_indexer] = value instead\n", "\n", "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", " self.obj[item] = s\n" ] } ], "source": [ "df_trucks.loc[df_trucks.country==\"Romania\", 'trucks_and_trailers'] = 90" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Validate modifications" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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countrytrucks_and_trailerstrucks_and_trailers_non_built_up
\n", "
" ], "text/plain": [ "Empty DataFrame\n", "Columns: [country, trucks_and_trailers, trucks_and_trailers_non_built_up]\n", "Index: []" ] }, "execution_count": 24, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_trucks.loc[\n", " df_trucks.trucks_and_trailers > 200\n", "]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Check if speed limti is too low" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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countrytrucks_and_trailerstrucks_and_trailers_non_built_up
71Kiribati30.030.0
131Sri Lanka40.070.0
147United States16.0129.0
\n", "
" ], "text/plain": [ " country trucks_and_trailers trucks_and_trailers_non_built_up\n", "71 Kiribati 30.0 30.0\n", "131 Sri Lanka 40.0 70.0\n", "147 United States 16.0 129.0" ] }, "execution_count": 35, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_trucks.loc[\n", " df_trucks.trucks_and_trailers < 50\n", "]" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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countryWithin towns(officially: within built-up area[4] or Urban road)Automobiles & motorcycles (single carriageway)Automobiles & motorcycles Expressways/motorways (dual carriageway)trucks_and_trailerstrucks_and_trailers_non_built_upEnforcement toleranceUnnamed: 7
71Kiribati[38]30 (church/school/bus stop zones; pedestrian c...60NaN3030NaNNaN
131Sri Lanka50 (31 mph)70 (43 mph)70–100 (43–62 mph) (when 100 in expressways: p...40 (25 mph) (TukTuk)40–70 (25–43 mph)NaNNaN
147United States[fn 1]Main articles: Speed limits...40–120 (25–75 mph)[citation needed]70-120 (45–75 mph)[fn 40]100–130 (60–80 mph)[fn 41] 137 (85 mph) is all...Restrictions only in few states, typically 16 ...89–129 (55–80 mph)[fn 41]States have jurisdiction over speed limits. En...NaN
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" ], "text/plain": [ " country \\\n", "71 Kiribati[38] \n", "131 Sri Lanka \n", "147 United States[fn 1]Main articles: Speed limits... \n", "\n", " Within towns(officially: within built-up area[4] or Urban road) \\\n", "71 30 (church/school/bus stop zones; pedestrian c... \n", "131 50 (31 mph) \n", "147 40–120 (25–75 mph)[citation needed] \n", "\n", " Automobiles & motorcycles (single carriageway) \\\n", "71 60 \n", "131 70 (43 mph) \n", "147 70-120 (45–75 mph)[fn 40] \n", "\n", " Automobiles & motorcycles Expressways/motorways (dual carriageway) \\\n", "71 NaN \n", "131 70–100 (43–62 mph) (when 100 in expressways: p... \n", "147 100–130 (60–80 mph)[fn 41] 137 (85 mph) is all... \n", "\n", " trucks_and_trailers \\\n", "71 30 \n", "131 40 (25 mph) (TukTuk) \n", "147 Restrictions only in few states, typically 16 ... \n", "\n", " trucks_and_trailers_non_built_up \\\n", "71 30 \n", "131 40–70 (25–43 mph) \n", "147 89–129 (55–80 mph)[fn 41] \n", "\n", " Enforcement tolerance Unnamed: 7 \n", "71 NaN NaN \n", "131 NaN NaN \n", "147 States have jurisdiction over speed limits. En... NaN " ] }, "execution_count": 36, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.loc[\n", " (\n", " df_trucks.trucks_and_trailers < 50\n", " )\n", "]" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/Users/lei.ma/opt/anaconda3/envs/mini-code/lib/python3.6/site-packages/pandas/core/indexing.py:965: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame.\n", "Try using .loc[row_indexer,col_indexer] = value instead\n", "\n", "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", " self.obj[item] = s\n" ] } ], "source": [ "df_trucks.loc[df_trucks.country==\"United States\", 'trucks_and_trailers'] = np.nan" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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countrytrucks_and_trailerstrucks_and_trailers_non_built_up
71Kiribati30.030.0
131Sri Lanka40.070.0
\n", "
" ], "text/plain": [ " country trucks_and_trailers trucks_and_trailers_non_built_up\n", "71 Kiribati 30.0 30.0\n", "131 Sri Lanka 40.0 70.0" ] }, "execution_count": 43, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_trucks.loc[\n", " df_trucks.trucks_and_trailers < 50\n", "]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "trucks_and_trailers_non_built_up column" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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countryWithin towns(officially: within built-up area[4] or Urban road)Automobiles & motorcycles (single carriageway)Automobiles & motorcycles Expressways/motorways (dual carriageway)trucks_and_trailerstrucks_and_trailers_non_built_upEnforcement toleranceUnnamed: 7
71Kiribati[38]30 (church/school/bus stop zones; pedestrian c...60NaN3030NaNNaN
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" ], "text/plain": [ " country \\\n", "71 Kiribati[38] \n", "\n", " Within towns(officially: within built-up area[4] or Urban road) \\\n", "71 30 (church/school/bus stop zones; pedestrian c... \n", "\n", " Automobiles & motorcycles (single carriageway) \\\n", "71 60 \n", "\n", " Automobiles & motorcycles Expressways/motorways (dual carriageway) \\\n", "71 NaN \n", "\n", " trucks_and_trailers trucks_and_trailers_non_built_up Enforcement tolerance \\\n", "71 30 30 NaN \n", "\n", " Unnamed: 7 \n", "71 NaN " ] }, "execution_count": 44, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.loc[\n", " (\n", " df_trucks.trucks_and_trailers_non_built_up < 50\n", " )\n", "]" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Save Results" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "df_trucks.to_csv(\"assets/export/road-speed-limits-by-country/speed_limits_by_countries.csv\", index=False)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "| | country | trucks_and_trailers | trucks_and_trailers_non_built_up |\n", "|----:|:--------------------------------|:----------------------|:-----------------------------------|\n", "| 0 | Åland (Finland) | - | - |\n", "| 1 | Albania | 70.0 | 80.0 |\n", "| 2 | Argentina | 80.0 | 80.0 |\n", "| 3 | Armenia | 90.0 | 90.0 |\n", "| 4 | Aruba | - | - |\n", "| 5 | Andorra | - | - |\n", "| 6 | Australia | 100.0 | 110.0 |\n", "| 7 | Austria | 100.0 | 100.0 |\n", "| 8 | Azerbaijan | - | - |\n", "| 9 | Azores | - | 80.0 |\n", "| 10 | Bahamas | - | - |\n", "| 11 | Bahrain | - | - |\n", "| 12 | Belarus | 70.0 | 90.0 |\n", "| 13 | Belgium | 70.0 | 90.0 |\n", "| 14 | Belgium: Wallonia Brussels | 90.0 | 90.0 |\n", "| 15 | Belize | - | - |\n", "| 16 | Benin | - | - |\n", "| 17 | Bhutan | - | - |\n", "| 18 | Bosnia and Herzegovina | 80.0 | - |\n", "| 19 | Brazil | 90.0 | 90.0 |\n", "| 20 | Brunei | 80.0 | 80.0 |\n", "| 21 | Bulgaria | 70.0 | 100.0 |\n", "| 22 | Cambodia | 80.0 | 100.0 |\n", "| 23 | Cameroon | - | - |\n", "| 24 | Canada | 120.0 | 130.0 |\n", "| 25 | People's Republic of China | 80.0 | 100.0 |\n", "| 26 | Chile | 100.0 | 100.0 |\n", "| 27 | Christmas Island | - | 90.0 |\n", "| 28 | Colombia | 60.0 | 90.0 |\n", "| 29 | Costa Rica | 60.0 | 60.0 |\n", "| 30 | Côte d'Ivoire | 90.0 | - |\n", "| 31 | Croatia | 80.0 | 80.0 |\n", "| 32 | Cuba | - | - |\n", "| 33 | Curaçao | - | - |\n", "| 34 | Cyprus | 80.0 | 100.0 |\n", "| 35 | Czech Republic | 80.0 | 80.0 |\n", "| 36 | Denmark | 80.0 | 80.0 |\n", "| 37 | Dominican Republic | - | - |\n", "| 38 | Ecuador | 70.0 | 90.0 |\n", "| 39 | Egypt | - | - |\n", "| 40 | El Salvador | - | - |\n", "| 41 | Estonia | 90.0 | 90.0 |\n", "| 42 | Ethiopia | - | - |\n", "| 43 | Faroe Islands (Denmark) | - | - |\n", "| 44 | Fiji | - | - |\n", "| 45 | Finland | 80.0 | 80.0 |\n", "| 46 | France | 110.0 | 130.0 |\n", "| 47 | Georgia | 60.0 | 80.0 |\n", "| 48 | Germany | 80.0 | 80.0 |\n", "| 49 | Gibraltar (UK) | - | - |\n", "| 50 | Greece | 80.0 | 80.0 |\n", "| 51 | Greenland (Denmark) | - | - |\n", "| 52 | Guernsey | - | 56.0 |\n", "| 53 | Guyana | - | - |\n", "| 54 | Haiti | - | - |\n", "| 55 | Honduras | - | - |\n", "| 56 | Hong Kong | 70.0 | 70.0 |\n", "| 57 | Hungary | 70.0 | 80.0 |\n", "| 58 | Iceland | 80.0 | 80.0 |\n", "| 59 | India | 65.0 | 50.0 |\n", "| 60 | Indonesia | 80.0 | 80.0 |\n", "| 61 | Iran | 110.0 | 110.0 |\n", "| 62 | Iraq | 90.0 | 120.0 |\n", "| 63 | Ireland | 90.0 | 100.0 |\n", "| 64 | Isle of Man | - | - |\n", "| 65 | Israel | 80.0 | 90.0 |\n", "| 66 | Italy | 70.0 | 80.0 |\n", "| 67 | Jamaica | - | - |\n", "| 68 | Japan | 80.0 | 80.0 |\n", "| 69 | Jersey | - | 64.0 |\n", "| 70 | Kazakhstan | - | - |\n", "| 71 | Kiribati | 30.0 | 30.0 |\n", "| 72 | Kosovo | - | - |\n", "| 73 | Kuwait | 100.0 | 120.0 |\n", "| 74 | Kyrgyzstan | 70.0 | 90.0 |\n", "| 75 | Laos | 90.0 | 100.0 |\n", "| 76 | Latvia | 80.0 | 90.0 |\n", "| 77 | Lebanon | - | - |\n", "| 78 | Liberia | - | - |\n", "| 79 | Liechtenstein | 80.0 | - |\n", "| 80 | Lithuania | 90.0 | 90.0 |\n", "| 81 | Luxembourg | 90.0 | 90.0 |\n", "| 82 | Libya | - | - |\n", "| 83 | Macau | - | - |\n", "| 84 | North Macedonia | 100.0 | - |\n", "| 85 | Malawi | - | 80.0 |\n", "| 86 | Malaysia | 70.0 | 90.0 |\n", "| 87 | Mali | - | - |\n", "| 88 | Malta | 60.0 | - |\n", "| 89 | Mauritius | - | - |\n", "| 90 | Moldova | 70.0 | - |\n", "| 91 | Morocco | - | 100.0 |\n", "| 92 | Monaco | - | - |\n", "| 93 | Mongolia | - | - |\n", "| 94 | Montenegro | - | - |\n", "| 95 | Mexico | 95.0 | - |\n", "| 96 | Namibia | - | - |\n", "| 97 | Micronesia | - | - |\n", "| 98 | Nepal | - | 110.0 |\n", "| 99 | Netherlands | - | - |\n", "| 100 | New Caledonia | - | - |\n", "| 101 | New Zealand | 90.0 | 90.0 |\n", "| 102 | Niue | - | - |\n", "| 103 | Nicaragua | - | - |\n", "| 104 | Nigeria | - | - |\n", "| 105 | Norfolk Island | - | 50.0 |\n", "| 106 | North Korea | - | - |\n", "| 107 | Norway | 80.0 | 80.0 |\n", "| 108 | Oman | 80.0 | - |\n", "| 109 | Palestine | 60.0 | 60.0 |\n", "| 110 | Panama | - | 100.0 |\n", "| 111 | Papua New Guinea | - | - |\n", "| 112 | Pakistan | 80.0 | 110.0 |\n", "| 113 | Peru | 90.0 | 100.0 |\n", "| 114 | Philippines | 80.0 | 60.0 |\n", "| 115 | Poland | 70.0 | 80.0 |\n", "| 116 | Portugal | 80.0 | 100.0 |\n", "| 117 | Qatar | - | - |\n", "| 118 | Romania | 90.0 | 90.0 |\n", "| 119 | Russia | 90.0 | 90.0 |\n", "| 120 | Samoa | - | - |\n", "| 121 | San Marino | - | - |\n", "| 122 | Serbia | 70.0 | 80.0 |\n", "| 123 | Singapore | 60.0 | 60.0 |\n", "| 124 | Slovakia | 90.0 | 90.0 |\n", "| 125 | Slovenia | 80.0 | 80.0 |\n", "| 126 | Saudi Arabia | 60.0 | 100.0 |\n", "| 127 | Somalia | 80.0 | 100.0 |\n", "| 128 | South Africa | 60.0 | 80.0 |\n", "| 129 | South Korea (Republic of Korea) | 60.0 | 80.0 |\n", "| 130 | Spain | 80.0 | 90.0 |\n", "| 131 | Sri Lanka | 40.0 | 70.0 |\n", "| 132 | Sudan | - | - |\n", "| 133 | Suriname | - | 80.0 |\n", "| 134 | Sweden | 90.0 | 80.0 |\n", "| 135 | Switzerland | 80.0 | 80.0 |\n", "| 136 | Taiwan (Republic of China) | 80.0 | 90.0 |\n", "| 137 | Tanzania | 100.0 | - |\n", "| 138 | Thailand | 80.0 | 100.0 |\n", "| 139 | Trinidad and Tobago | 50.0 | 65.0 |\n", "| 140 | Tunisia | - | - |\n", "| 141 | Turkey | 80.0 | 90.0 |\n", "| 142 | Turkmenistan | - | - |\n", "| 143 | Uganda | - | - |\n", "| 144 | Ukraine | 90.0 | 80.0 |\n", "| 145 | United Arab Emirates | 80.0 | 80.0 |\n", "| 146 | United Kingdom | 97.0 | 113.0 |\n", "| 147 | United States | - | 129.0 |\n", "| 148 | Uruguay | - | - |\n", "| 149 | Uzbekistan | 70.0 | 90.0 |\n", "| 150 | Vanuatu | - | - |\n", "| 151 | Vatican | - | - |\n", "| 152 | Venezuela | 60.0 | 120.0 |\n", "| 153 | Vietnam | 70.0 | 70.0 |\n", "| 154 | Yemen | - | - |\n", "| 155 | Zambia | 75.0 | 70.0 |\n", "| 156 | Zimbabwe | 80.0 | 80.0 |\n" ] } ], "source": [ "print(\n", " df_trucks.fillna('-').to_markdown()\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Visualize" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "import matplotlib.pyplot as plt" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "import seaborn as sns;sns.set()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0.5, 1.0, 'Speed Limits for Trucks and Trailers')" ] }, "execution_count": 57, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(figsize=(10, 20))\n", "\n", "vis_col = \"trucks_and_trailers\"\n", "\n", "sns.barplot(\n", " y=\"country\",\n", " x=vis_col,\n", " data=df_trucks.sort_values(by=vis_col, ascending=False).dropna(subset=[vis_col]),\n", " ax=ax\n", ")\n", "\n", "ax.set_title(\"Speed Limits for Trucks and Trailers\")" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0.5, 1.0, 'Speed Limits for Trucks and Trailers outside Built-up Areas ')" ] }, "execution_count": 58, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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nOjoayPvyeadOnbh48SK7d+/G09OTHj16UKdOHSIiIsjJySE7O5v27duTlpZGnz59+Pjjj/nf//5nmpMIaGVeRB5gderUYf78+Xz22Wf8+eeflC5dmvLlyzNhwgSeeuopLl26RJUqVZgzZw7nzp2jUqVKTJ8+HYARI0Ywbdo0PD09ycnJwcHBwfSYvZkzZzJx4kTc3NzIzMzE1dUVd3d3IK8cZMCAAZQtW/amcoe/u1HiccPs2bMLPeeXX36Zvn37smDBAt544w0GDhyIjY0NlpaWTJo06bbXPv3003z88ceMGjWKnJwcbGxsWLhwoelLjObg4+PD2LFj6dSpEzVr1qR58+am12bNmsUnn3zC8uXLMRgMTJ482VSyBHk3Zx9//DHjxo0jPDz8juY3cuRIpk+fzoIFC7C0tOT555/njz/+uO0YnZ2dOXHiBN7e3tja2lK/fn2uXLnyr+dcoUIFhg0bhqenJxUrVsTOzo7nn3+e33//3VTS9HcFvcdurNbe8OKLL7Jz505cXV155JFHqFChgqnE4+/tTZgwgZCQEDIzM3Fzc8PLywuDwYCvry9Dhw6lUqVKdO7c2XRN1apVefbZZ3FxceG7777DxcUFb29vHnnkEWxsbG5ale/duzd//PEHrq6uN31x+MMPP2Ty5Mm4ubmRlZVFq1atGDJkyC3nvnHjRn755RcMBgMZGRnUqlWLadOmAbd//9xK06ZNmTNnDiNHjryp5v3pp5+md+/eeHt7U7VqVV566aV8r1epUoWhQ4dy5coVHB0dTV9yv+G7776jZ8+e+f77sLKy4vXXX2fu3Lm4uLjkO79SpUrMnTuX6dOnk5GRQW5uLtOnT+fxxx/ntddeY/z48YSEhGBpaUmDBg04efIkVlZWjBs3jrFjx2JlZYXBYODTTz/N94mdiCFXD0UVkYfU359mISIC+Z8qJVLSqcxGREREROQ+pZV5EREREZH7lFbmRURERETuU0rmRURERETuU0rmRURERETuU0rmRURERETuU3rOvIiIiIjIXcrJzCLpWsY978fCwoCdXdkCX1cyL/9aSkoKs2bNIjo6GktLS2xtbfHz86NBgwb3pL/IyEgCAwNZvny5WdpL+HYtxmupZmlLREREHi5V33gVozG9uIehZF7+HaPRyNChQ2nRogXr1q3DysqK/fv3M3ToUDZs2ICdnV1xD1FERETkgadkXv6VyMhILl68yOjRo7GwyPvqhZOTE1OmTMFoNOLv709MTAyXL1+mTp06BAYGcvnyZUaNGkW9evX47bffqFy5Mp9//jkVK1bk22+/JTQ0lOvXr2MwGJgzZw5169Zl9+7dTJkyhdKlS1OnTh1T/1FRUXz22Wekp6eTnJyMr6/vTVtni4iIiDzo9AVY+VeOHTtGo0aNTIn8Dc7Ozpw+fZpSpUoRHBzMtm3byMjIYMeOHQAcP36cQYMGsX79emxtbQkPDyclJYUffviB5cuXs379ejp27MjKlSvJzMzEz8+PuXPnEhISgo2Njamfb7/9lkmTJrF27VomT57MggULinT+IiIiIiWBVublX7GwsKCgzYMdHR2pWLEiK1as4PTp08TGxpKWlgZA5cqVefbZZwGoV68eycnJlCtXjlmzZrFhwwZiY2PZtWsXDg4OnDhxgmrVqlG3bl0APD09+fzzzwGYMWMGP/74I5s3b+bXX38lNVW17yIiIvLw0cq8/CsNGzbk2LFjNyX0s2fP5ocffmDs2LHY2Njg5eWFo6Oj6bzSpUubzjUYDOTm5nLhwgV69erFtWvXePHFF/H09CQ3NxeDwYDRaDSdb2lpafq5b9++HD58mIYNGzJ8+PB7PFsRERGRkknJvPwrzZo1o3LlygQGBpKTkwPArl27CAkJYdeuXbi4uODt7U2VKlWIjo42nXMrR44c4YknnmDgwIE899xz7Ny5k5ycHOzt7UlISOD48eMAbNiwAYCkpCRiY2MZM2YMzs7O7Nmz57bti4iIiDyoVGYj/4rBYGDBggVMmTIFV1dXrKyssLOzY9GiRVhaWjJ27Fg2b96MtbU1TZo0IS4ursC2WrduzXfffUeXLl2wtramcePGxMTEUKpUKWbPno2vry9WVlam8pyKFSvSo0cPunbtSrly5WjSpAnp6emkpaXxyCOPFFUIRERERIqdIbegwmeRB5yeMy8iIiL/VtU3XuXSpWv3vB8LCwOVK5cr8HUl8yIiIiIidyknM4vE5Hu/adQ/JfMqs5GHVkJCCkaj7mULo2rV8kWyKvGgUxwLTzE0D8XRPBRH81Ac74xW5kVERERE7pJW5uWBExcXR+fOnU3Phb9h4cKFPPbYY8U0qoIlfPs9xmspxT0MERERuQ9VfWMQcO+T+X+iZF7Mqlq1aoSGhhb3MEREREQeCkrm5Z7z8/MjKSmJ33//HV9fXzIyMliyZAnp6elkZGQwadIkHB0d8fHxoVGjRvzyyy8kJibi7++Ps7Mz586d44MPPiAxMREbGxsmTZpE/fr1WbduHUuXLsVoNNKgQQM+/vjjfJtSiYiIiDzolMyLWV28eBEPDw/T725ubkDes+EXLlyI0Whk0KBBLFy4kEqVKrF69WoWL16Mo6MjAFlZWQQHBxMREcHnn3+Os7Mzn3zyCZ06daJfv37s2LGDL774glGjRrFq1SqCgoIoXbo0s2bNYvHixYwYMaJY5i0iIiJSHJTMi1ndqszGz8+Pxo0bA2BhYcH8+fOJiIjgzJkzREVFYWHxfxsRt23bFoB69eqRlJQEQHR0NLNnzwbA2dkZZ2dnvv32W37//Xd69uwJ5N0E3NhUSkRERORhoWReioSNjQ0AqampeHt74+HhgaOjI/b29qxYscJ03o0yGYPBYDpmZfV/b9Pc3Fz+97//kZOTg4uLC/7+/qZ2c3JyimIqIiIiIiWGxT+fImI+sbGxWFhYMHz4cJycnNi5c+c/JuHNmjVjw4YNAOzdu5ePPvqIFi1asG3bNhISEsjNzSUgIIClS5cWxRRERERESgytzEuRql+/Pg4ODri4uGBjY4OjoyPnz5+/7TXjx4/H39+flStXUqZMGSZNmsTTTz/NqFGjGDBgAEajEQcHB4YNG1ZEsxAREREpGbRplDy09Jx5ERER+beqvjGoSHao/adNo5TMi4iIiIjcJe0AK1LMEhJSMBp1L1sYVauWL5JViQed4lh4iqF5KI7moTiah+J4Z7QyLyIiIiLyD4pqJf7vtDL/kIiLi6N///5ERETkO25vb8+JEycKvO7IkSMEBQUxefJkgoODKVu2LK6urnfcb/v27Vm2bBk1a9bMd3zFihWsWrWK3NxcDAYDgwYNolu3bgB88MEHjBo1iscff7zAdv/NWO5WwooVqpkXERGRO1J1+OtA0Sfz/0TJ/EOuUaNGNGrUCICDBw/SvHnzQrf566+/8v333xMcHIyNjQ0JCQl4e3tTv3596tevT2RkJCNHjrxtG+Yai4iIiMiDTMn8QyIkJIRdu3aRnJzM2bNnad26NQEBAURGRhIYGMgbb7xBREQE+/fvp2rVqjg4ODB+/Hj+/PNPDAYD7777Lq1atSIpKQlfX1/+/PNP6tatS0ZGxk19Xbp0idzcXK5fv46NjQ2VK1dm7ty52NnZsWjRIi5evMiwYcNYsWIF+/fvZ8mSJaSnp5ORkcGkSZPIysq6o7Hs27ePGTNmAFChQgVmzZpFpUqVijq0IiIiIsVGyfxD5ODBg6xfvx5LS0s6d+5Mnz59TK+1atWK9u3b07x5c9q2bcvbb7+Nt7c3HTp04OLFi/Tt25d169Yxd+5cnn32Wb766iuio6PZtGnTTf28+OKLhISE0LZtW5o0aUKLFi3w8PCgevXqDBs2jKCgIBYtWkSFChUICgpi4cKFVKpUidWrV7N48WIWLlx4R2NZsGABAQEBNG7cmGXLlnHs2DHatGlTlCEVERERKVZK5h8QFhY3b+Z7o179hqZNm1KuXN4XKGrVqkVycnKB7e3du5fTp08zd+5cALKzszl79ixRUVHMmjULAEdHR2rVqnXTtdbW1ixYsIDff/+d3bt3s2vXLhYvXsw333xDkyZN8o15/vz5REREcObMGaKiom45j4LG0qFDB0aNGkXHjh3p0KEDrVu3voNIiYiIiDw4lMw/IGxtbbl2Lf/jmxISEqhQoYLp99KlS5t+NhgM3O5BRkajkaVLl1KxYkUA4uPjqVKlyk3XWVpa3nTtunXrqF69Oi1btuSJJ56gX79+fPbZZ4SGhuZL5lNTU/H29sbDwwNHR0fs7e1ZsWLFHY/FwcGBdu3a8eOPPzJjxgwOHz7MG2+8cds4iYiIiDxIbl4GlftSuXLleOKJJ9iyZYvpWHBwMC1btrzjNiwtLcnJyQHAycmJlStXAnDq1Cnc3d25fv06LVu2JDQ0FIDDhw/zxx9/3NROTk4Os2bNIjExEchbST9z5gzPPvtsvn5iY2OxsLBg+PDhODk5sXPnTlP/dzKWHj16kJqaysCBAxk4cCDHjh27q5iJiIiI3O+0Mv8AmTFjBgEBAcyfP5+srCzs7e0ZP378HV/fqlUrZs+eTfny5fH392f8+PG4ubkBMH36dMqVK8fo0aPx8/Oja9euPPXUU7css/H29ubKlSv06dPHVDbTtWtXunfvDsBLL73EsGHD+Oqrr3BwcMDFxQUbGxscHR05f/78HY/lnXfewc/PDysrK0qXLs0nn3xSqPiJiIiI3G+0aZSIiIiIyD/QplEiJUxCQgpGo+5lC0NbbZuH4lh4iqF5KI7moTiah+J4Z1QzLyIiIiJyn1KZjYiIiIiUOLnZ2Vy+cr24h1HsVGYj/6hv37707dsXV1dX07G0tDTatWvHpk2bSsyuqiEhIURFRTF16lSztHd5xRKM1/TxnYiISElUbfjo4h7CfUFlNoKXlxfr16/Pd2zr1q20aNGixCTyIiIiInIzrcwLLi4uTJ8+naSkJNPGTGFhYbz66qu8//77xMTEkJOTw9ChQ3F1dSUkJIRdu3aRnJzM2bNnad26NQEBAQAsWrSITZs2kZOTQ5s2bfD19WXLli188cUXQN4GUCdPnuT7779n5cqVNG/eHC8vLwDs7e05ceIEqampTJgw4aZ+/2rTpk0sWbKE9PR0MjIymDRpEo6OjkUWMxEREZGSQMm8ULZsWTp06MDmzZvp3bs38fHxnDlzhp9//pkGDRowbdo0UlJS6N27N8899xwABw8eZP369VhaWtK5c2f69OlDfHw8R48eZfXq1RgMBnx9fQkLC8PDw4POnTsDMGnSJJo1a0bjxo1NG0H93RdffFFgv5B3QxAUFMTChQupVKkSq1evZvHixUrmRURE5KGjZF6AvI2e5syZQ+/evQkPD8fd3Z1du3aRnp7OmjVrgLw6+piYGACaNm1KuXJ5X8aoVasWycnJ7Nu3j8OHD5tW2tPT06lRo4apj9WrV3Ps2DGWLl1627Hs3bu3wH4BLCwsmD9/PhEREZw5c4aoqCjT5lQiIiIiDxMl8wJAs2bNuHTpEhcuXCAsLIzAwEB27NjBjBkzaNCgAQCXL1+mQoUKhIeHU7p0adO1BoOB3NxccnJyGDBgAIMGDQLg6tWrWFpaAnDgwAEWLlxIUFAQpUqVyncdQFZWlqk9o9FYYL8AqampeHt74+HhgaOjI/b29qxYseIeR0hERESk5NFypph4enryxRdfUKFCBWrXro2TkxPfffcdABcvXsTd3Z0LFy4UeL2TkxOhoaGkpqaSnZ3NyJEj2bJlCxcuXGDs2LHMnj2bKlWqmM6vWLEip06dAuCHH37I187t+o2NjcXCwoLhw4fj5OTEzp07ycnJMWssRERERO4HSubFpFu3bqxZswZvb28ARo0aRXp6Oq6urgwYMABfX19q165d4PXt27fnlVdeoWfPnri6ulK/fn08PT1ZsGABqampBAQE4OHhgYeHBxs3bqRv375ERUXh5ubGgQMHqFq16h31W79+fRwcHHBxccHT05NHHnmE8+fP39vgiIiIiJRA2jRKREREREocbRqVR5tGiRQgISEFo1H3soVRtWp5Ll3SxluFpTgWnmJoHoqjeSiO5lG1avniHsJ9QWU2IiIiIiL3KZXZiFlFRkYSGBjI8uXLAUhJSWHw4ME0bdoUPz8/s/b14Ycf0rt3b5588knef/99FixYYNb2RUREpPiozCaPymyk2KSmpjJkyBAcHR0ZO3as2dufPHkyAHFxcRw/fvyur7/07UKM166ae1giIiJiBtXfeK+4h3BfUJmN3BNpaWkMGzYMJycnUyJvb29vej0kJAQ/Pz++/vprZsyYAcCePXto2rQp2dnZAHTp0oXLly+zadMmevbsibu7O506dSI6OhoAHx8fIiMjmTRpEhcvXmTkyJFFPEsRERGR4qVkXszu+vXrvP7668TExDBw4MDbnuvs7My+ffsA2LdvH2XKlOHYsWOcPXuWsmXLUqlSJYKCgli4cCFhYWEMHTqUxYsX52vD39+fatWqMX/+/Hs1JREREZESSWU2YnZHjhxhzJgxPPXUU/j7+xMYGFjguXXr1iUlJYXk5GR+/vln+vXrR1RUFGXKlMHZ2RkLCwvmz59PREQEZ86cISoqCgsL3YOKiIiIgFbm5R5o0qQJI0aMwM/Pj5iYGNNurgA3vm99o5QGoG3btmzbtg2DwUC7du2Ijo5m165dtGvXjtTUVLy9vYmLi8PR0REfH58in4+IiIhISaVkXszO2toagDJlyjB9+nRmzJjBqVOnsLOzIyYmhtzcXCIiIkznOzs78+WXX/LCCy/g4ODAqVOnOHPmDA0aNCA2NhYLCwuGDx+Ok5MTO3fuJCcnJ19/VlZW+W4ORERERB4WKrORe+q5555j4MCBvP3227z55psMHz6cKlWq8MILL3DlyhUAWrRowaVLl2jevDkGg4Fnn32WihUrAlC/fn0cHBxwcXHBxsYGR0dHzp8/n6+PypUrU6NGDXx8fEyPxBQRERF5GOg58/LQ0qMpRURESq7qb7ynnXT55+fMK5kXERERkRJHm0bl0aZRIgVISEjBaNS9bGFUrVpeqyZmoDgWnmJoHoqjeSiO5lG1avniHsJ9QSvzIiIiIlLi5GZncflKenEPo9hpZV7uC/b29pw4caJI+7y0fA4515KKtE8RERG5M4+OCACUzP8TPZpSREREROQ+pZV5KVEiIyOZMWMGRqORevXq8c477zBu3DiuXbvGpUuX6Nq1K2PHjiUjIwN/f3+OHDlC7dq1yczM5I033qBFixbFPQURERGRIqNkXkqc2NhYfvzxR8qXL8/ixYtxdXXF09OTa9eu4ezszGuvvcaaNWswGo1s2rSJM2fO4OHhUdzDFhERESlySualxKlTpw7ly+d9g33w4MHs37+fxYsXExMTQ1ZWFtevXyc6OppevXphMBh46qmncHR0LOZRi4iIiBQ9JfNS4tjY2Jh+njp1KmfPnsXV1ZWOHTuyd+9ecnNzsbGx4a8PYrKy0ltZREREHj76AqyUaHv27GHw4MG4uLhw4cIF4uPjMRqNtG7dmrCwMIxGIxcuXODnn38u7qGKiIiIFDktZ0qJ9vrrr/Pee+9ha2tL5cqVadiwIXFxcXTv3p3//e9/uLu7U7VqVR599NHiHqqIiIhIkdOmUfJA8PHxYdSoUXf1NBs9Z15ERKTkenREgHbSRZtGiRSoqs9bxT0EERERKUBudlZxD+G+oJV5eWglJKRgNOrtXxhVq5bXqokZKI6Fpxiah+JoHoqjeSiOef5pZV7JvIiIiIjcVk5mJonJGUXap5L5PCqzuU/FxcXRv39/IiIi8h23t7fnxIkTBV535MgRgoKCmDx5MsHBwZQtWxZXV9c77rd9+/YsW7aMmjVrmo6FhIQQFRXF1KlTAYiPj6d///7069ePTp064e/vz1dffXWXM7zZv6l7L4z4ZZPIuXalSPoSERG5n9UYOQso2mRe7oyS+QdMo0aNaNSoEQAHDx6kefPmZm3/0qVLDBw40JTMA2ZJ5EVERETk7imZv0+FhISwa9cukpOTOXv2LK1btyYgIIDIyEgCAwN54403iIiIYP/+/VStWhUHBwfGjx/Pn3/+icFg4N1336VVq1YkJSXh6+vLn3/+Sd26dcnIKPiuOyEhgUGDBjFo0CB69uwJ5P8Ewc/Pj3LlyvHf//6X+Ph4Ro4cibe3N9euXeO9997jjz/+oFatWvz5558EBgZSrVo1PvzwQ44ePcrjjz/OlSv/t0q+cOFCwsLCsLS0pHXr1vj6+nLhwgVGjhxJrVq1OHnyJA0bNqR58+asXbuW5ORk5s+fT926de957EVERERKCm0adR87ePAgc+fOJSwsjB9//DFf+U2rVq1o3749o0ePpm3btkyePBlvb29CQkL44osvGD9+PCkpKcydO5dnn32W8PBw+vXrx+XLl2/ZV2JiIgMHDiQrK4tu3boVOKY///yTlStX8sUXXzB9+nQA5s+fT506ddiwYQMjR440jXP58uUAbNq0CX9/f/744w8AduzYQUREBCEhIaxdu5bff/+doKAgAE6cOMGIESPYvHkzR44c4dy5cwQHB+Pq6kpwcHChYyoiIiJyP1EyX0JZWNz8T5Obm4vBYDD93rRpU8qVK0eZMmWoVasWycnJBba3d+9e5s6di4eHB0OHDiU7O5uzZ88SFRVFly5dAHB0dKRWrVq3vH7Xrl289tpr1K5dm1mzZhXYT+vWrTEYDDzzzDMkJSUBebu4enh4AHllQPb29gBERUXh4uICwJNPPknTpk0B2L9/P127dsXGxgYrKyu8vb3Zt28fAFWqVOHZZ5/FwsKCRx99lJYtWwJQo0YNrl69WuC4RERERB5EKrMpoWxtbbl2Lf83uBMSEqhQoYLp99KlS5t+NhgM3O7BREajkaVLl1KxYkUg70usVapUuek6S0vLW17v4uKCp6cnbdq0wc3NjVatWuHs7HzTeTfG9NebDktLy1uOzWAwYDQaTb9bWVmZxvp32dnZAFhbW+c7XtB4RURERB4GWpkvocqVK8cTTzzBli1bTMeCg4NNK9F3wtLSkpycHACcnJxYuXIlAKdOncLd3Z3r16/TsmVLQkNDATh8+LCp1OXvbiTRVatW5ZNPPuGDDz4osCTn71q1akV4eDiQVyYTExODwWCgZcuWrF+/HqPRyLlz5zhw4IBprBs2bCA9PZ3s7GzWrFmDk5PTHc9bRERE5GGhlfkSbMaMGQQEBDB//nyysrKwt7dn/Pjxd3x9q1atmD17NuXLl8ff35/x48fj5uYGwPTp0ylXrhyjR4/Gz8+Prl278tRTTxVYZvNXnTp1IiIigvfff5+AgIB/PH/EiBF88MEHuLm5Ubt2bapUqYKNjQ19+/YlJiYGFxcXHn/8cZ555hkA2rVrx2+//Ya3tzfZ2dm0bduWV199lT///POO5y4iIiLyMNCmUXLPhYaGUrNmTV544QXOnz/Pq6++yg8//HDL7wUUJT1nXkRE5M7UGDmryDdw0qZRebRplBS7p556io8//hij0YiFhQUTJkwo9kQeoHp//+IegoiIyH0hJzOzuIcgBdDKvDy0EhJSMBr19i8MrZqYh+JYeIqheSiO5qE4mofimOefVuaVzIuIiIg8ZHIyM0hMLtmr7Urm86jMRszq5MmTuLm5MXfuXDp16nTX1589e5YvvviCTz/99I6vCQkJISoqiqlTpzJ06FAmTZpE9erV77rvv7uw9D1yriUUuh0REZH7Tc1Ri4GSnczLnSn+wmW5r4SEhNCpUyfTjqx36/z585w9e/Zf9//VV1+ZJZEXEREReRAomZc7lp2dTVhYGG+//TbHjh0zPZO+ffv2xMXFARAZGYmPjw8AS5Yswd3dnW7dupkeqTlp0iSOHj3KJ598QmRkJN27d8fLy4v333+f+Ph4Bg8eTM+ePWnXrh0zZ868aQw3+kpJSWH06NH06tWLdu3a4evre9tNs0REREQeRErm5Y799NNP1KhRgzp16tCxY8fbrs5nZ2fz5ZdfsmbNGkJCQjAYDMTHx+Pv70/Dhg35+OOPAYiNjWXp0qVMmzaN9evX4+rqyqpVqwgLC2PlypUkJiYWOBYHBweCg4PZsmULhw4d4r///e89mbeIiIhISaWaebljISEhuLq6AtClSxfGjh3LW2+9dctzraysaNq0Kd27d6dDhw7069eP6tWrExsbm++8OnXqUL58eQAGDx7M/v37Wbx4MTExMWRlZXH9+vVbtu/q6srhw4f55ptvOH36NElJSaSlpZltriIiIiL3AyXzckcSEhLYuXMnR48eZdmyZeTm5nL16lW2bt0KYCpxyc7ONl2zYMECDh06xM6dOxkyZMgty2ZsbGxMP0+dOpWzZ8/i6upKx44d2bt3b4GlM8uXL2fLli307NmTVq1acfLkSZXZiIiIyENHZTZyR8LCwnBycmLnzp1ERETw448/Mnz4cIKDg7Gzs+PUqVMAbN++HYDExERcXFx45plnGDNmDK1bt+bEiRNYWlrmS/j/as+ePQwePBgXFxcuXLhAfHw8RqOxwHN79eqFu7s7BoOB48ePF3iuiIiIyINKK/NyR0JCQnj77bfzHevbty//+c9/eO+995g8eTKBgYG0adMGgEqVKtG7d2+6d+9OmTJleOyxx/D09CQrK4tr167h6+tL9+7d87X3+uuv895772Fra0vlypVp2LCh6Yu1fzdgwAACAgL4+uuvKVu2LE2bNi3wXBEREZEHlTaNEhEREXnIaNOo+4c2jRIpQEJCCkaj7mULQ39ozUNxLDzF0DwUR/NQHKUoqWZeREREROQ+pTIbERERkYeMymzuHyqzkWIVFxdHhw4d+Prrr2ndurXpePv27Vm2bBk1a9Y0Sz//pr24JcPIvnbRLP2LiIjcT54cvQ4o2cm83BmV2cg9V6pUKT766CNSUlKKeygiIiIiDxQl83LPVatWjVatWjFt2rSbXlu0aBGenp64u7szffp0cnNziYuLw83NjREjRtC1a1eGDh1KUlISAN9++y09evTA1dUVNzc3/ve//xXxbERERERKDiXzUiT8/PzYvXs3e/bsMR3btWsXR48eZfXq1axbt474+HjCwsIAOHnyJAMGDGDDhg3UrVuXwMBAUlJS+OGHH1i+fDnr16+nY8eOrFy5srimJCIiIlLsVDMvRaJcuXJMnDiRjz76yJSw79u3j8OHD+Pl5QVAeno6NWrU4IUXXuDJJ5+kRYsWAHTr1o2xY8dSrlw5Zs2axYYNG4iNjWXXrl04ODgU25xEREREipuSeSkybdq0yVduk5OTw4ABAxg0aBAAV69exdLSkitXrmBl9X9vzdzcXCwtLblw4QI+Pj68+uqrvPjii1SpUoXffvutWOYiIiIiUhKozEaK1I1ym4sXL+Lk5ERoaCipqalkZ2czcuRItmzZAsCZM2dMifqaNWt48cUXOXLkCE888QQDBw7kueeeY+fOneTk5BTndERERESKlVbmpUjdKLcZPHgw7dq149q1a/Ts2ZOcnBzatm2Lp6cn586do0KFCsydO5c//vgDe3t7Jk2aRG5uLt999x1dunTB2tqaxo0bExMTU9xTEhERESk22jRKSpy4uDj69+9PREREcQ9FRETkgaRNo+4f2jRKpAAJCSkYjbqXLQz9oTUPxbHwFEPzUBzNQ3GUoqSaeSlxatasqVV5ERERkTugMhsRERGRh0x2ZgZXVGZzX1CZjZhNXFwcnTt3pm7duhgMBrKysqhWrRpTpkzh0UcfveU1Pj4+jBo1yvTMeIAjR44QFBTE5MmTb3nN2bNn+eKLL/j000/vyTxu+N+yoWRfu3hP+xARESmJ7EeGAiU7mZc7o2Re7kq1atUIDQ01/T5r1iwmTpzI/Pnz77iNRo0a0ahRowJfP3/+PGfPni3UOEVEREQeBqqZl0Jp1qwZsbGxbNq0iZ49e+Lu7k6nTp2Ijo7Od15CQgKurq788MMPREZG4uPjA8CSJUtwd3enW7dujB8/HoBJkyZx9OhRPvnkE7Kzs/H396dXr1506NCBIUOGkJ6eTlxcHN26dcPX1xdXV1cGDBhAUlJSUU9fREREpFgpmZd/LSsri02bNvH8888TFBTEwoULCQsLY+jQoSxevNh03rVr1xg2bBijRo2iY8eOpuPZ2dl8+eWXrFmzhpCQEAwGA/Hx8fj7+9OwYUM+/vhjDh48SKlSpQgODmbbtm1kZGSwY8cOAI4fP86gQYNYv349tra2hIeHF3kMRERERIqTymzkrly8eBEPDw8AMjMzady4Me+++y5WVlZERERw5swZoqKisLD4v/vEjz/+mCpVqvDKK6/ka8vKyoqmTZvSvXt3OnToQL9+/ahevTqxsbGmcxwdHalYsSIrVqzg9OnTxMbGkpaWBkDlypV59tlnAahXrx7Jycn3ePYiIiIiJYtW5uWu3KiZDw0NZdOmTUybNo1SpUrh7e1NXFwcjo6OphKaG4YOHUqlSpX47rvvbmpvwYIFBAQEkJuby5AhQ4iKisr3+vbt2xk7diw2NjZ4eXnh6OjIjQcwlS5d2nSewWBAD2YSERGRh42SeSm02NhYLCwsGD58OE5OTuzcuZOcnBzT6w4ODnz88ccEBgYSHx9vOp6YmIiLiwvPPPMMY8aMoXXr1pw4cQJLS0uys7MB2LdvHy4uLnh7e1OlShWio6PztS0iIiLyMFOZjRRa/fr1cXBwwMXFBRsbGxwdHTl//ny+c5588kn69evHhAkT6N+/PwCVKlWid+/edO/enTJlyvDYY4/h6elJVlYW165dw9fXlyFDhjB27Fg2b96MtbU1TZo0IS4urjimKSIiIlLiaNMoERERkYeMNo26f2jTKJECJCSkYDTqXrYw9IfWPBTHwlMMzUNxNA/FUYqSVuZFREREHjJamb9/aGVe7gv29vacOHGiSPs8vnwIWdcuFmmfIiIiJUGjEWFAyU7m5c7oaTYiIiIiIvcprcxLiRIZGcmMGTMwGo3Uq1ePd955h3HjxnHt2jUuXbpE165dGTt2LCEhIezatYvk5GTOnj1L69atCQgIKO7hi4iIiBQpJfNS4sTGxvLjjz9Svnx5Fi9ejKurK56enly7dg1nZ2dee+01AA4ePMj69euxtLSkc+fO9OnTB3t7+2IevYiIiEjRUTIvJU6dOnUoX748AIMHD2b//v0sXryYmJgYsrKyuH79OgBNmzalXLm8L4TUqlWL5OTkYhuziIiISHFQMi8ljo2NjennqVOncvbsWVxdXenYsSN79+7lxgOYSpcubTrPYDCgBzOJiIjIw0ZfgJUSbc+ePQwePBgXFxcuXLhAfHw8RqOxuIclIiIiUiJoZV5KtNdff5333nsPW1tbKleuTMOGDYmLiyvuYYmIiIiUCNo0Sh5aes68iIg8rBqNCCvxGzJp06g8/7RplJJ5ERERkYeMdoC9f2gHWJECJCSkYDTqXrYw9IfWPBTHwlMMzUNxNA/FUYqSVuZFREREzMiYnUnClYziHsZ9TzdFebQyL2bxySefcODAAbKysvjjjz+oW7cuAFevXsXLy4s333zzjto5cuQIQUFBTJ48GR8fH0aNGkWLFi0KNbaQkBCioqKYOnXqXV13dMVgMlUzLyIiZvb88HBAybwUDSXzckc+/vhjAOLi4ujfvz+hoaEAzJs3767aadSoEY0aNTL7+EREREQeRkrmpdAOHz5M7969iY+PN63Sp6SkMG7cOOLj47l48SLNmjVj+vTpREVFERgYyPLly03XZ2dnExAQQExMDJcvX6ZOnToEBgZy+fJlRo0aRb169fjtt9+oXLkyn3/+ORUrVmTdunV88cUXlCtXjscff5xHHnmkGCMgIiIiUjy0aZQUWkJCAsuWLWPNmjUsXryYlJQUfvrpJxwcHAgODmbLli0cOnSI//73v7e8/uDBg5QqVYrg4GC2bdtGRkYGO3bsAOD48eMMGjSI9evXY2trS3h4OPHx8cycOZMVK1YQHBxMampqUU5XREREpMTQyrwUWtu2bbG2tqZSpUrY2dmRnJyMq6srhw8f5ptvvuH06dMkJSWRlpZ2y+sdHR2pWLEiK1as4PTp08TGxprOrVy5Ms8++ywA9erVIzk5mYMHD9K0aVOqVKkCgJubG/v37y+ayYqIiIiUIFqZl0Kzsvq/e0KDwUBubi7Lly9n+vTpVKpUiVdffZW6detS0IOTtm/fztixY7GxscHLywtHR0fTuaVLl76pbYPBgNFovGX/IiIiIg8TJfNyT+zZs4devXrh7u6OwWDg+PHj+RLwv9q3bx8uLi54e3tTpUoVoqOjycnJKbDtF154gV9//ZX4+HiMRiMbN268V9MQERERKdG0pCn3xIABAwgICODrr7+mbNmyNG3alLi4OGrXrn3TuT169GDs2LFs3rwZa2trmjRpQlxcXIFtV6lSBX9/fwYOHEiZMmV4+umn7+VUREREREosbRolDy09Z15ERO6F54eHa7MjM9CmUXn+adMoJfMiIiIiZqQdYM1DyXwe7QArUoCEhBSMRt3LFob+0JqH4lh4iqF5KI7mUbVqebQDrBQVrcyLiIiImJFW5s1DN5d5tDIv98TmzZtZtGgR2dnZ5Obm4uHhwZAhQ+5JXyEhIURFRTF16lSGDh3KpEmTqF69eqHbPbjiNTJTVDMvIiLm1eL19WhlXoqKknm5a/Hx8UybNo2QkBDs7OxITU3Fx8eHOnXq0KFDh3va91dffXVP2xcRERG5nyiZl7t25coVsrKySE9PB6Bs2bJMnTqV0qVLc+jQISZPnkxGRgZ2dnZMmDCBJ554Ah8fHxwcHNi3bx/p6en4+/uzfPlyTp06xcCBAxk4cCDx8fGMGzeOa9eucenSJbp27crYsWPz9d2+fXuWLVtGxYoVGTduHPHx8Vy8eJFmzZoxffp0DAZDcYREREREpFgomZe7Vr9+fTp06EDHjh1xcHCgRYsWuLm58dhjjzFo0CDmzJlD48aN2bRpE++88w5r1qwxXRseHk5gYCCTJk0iLCyMxMREunXrxsCBA1m/fj2urq54enpy7do1nJ2dee211245hp9++gkHBwfmzp1LZmYmXbt25b///S8NGzYsqjCIiIiIFDsl8/KvfPLJJ4wYMYLdu3eze/duevbsybBhw7C1taVx48YAuLi4MH78eK5dy/vyyosvvghAjRo1eO655yhTpgyPP/44V69eBWDw4MHs37+fxYsXExMTQ1ZWFtevX79l/66urhw+fJhvvvmG06dPk5SURFpaWhHMXERERKTkUDIvd+2nn34iLS2NLl264O3tjbe3N6tWrSI8PPymc3Nzc8nJyQGgVKlSpuNWVje/9aZOncrZs2dxdXWlY8eO7N27l4IetrR8+XK2bNlCz549adWqFSdPnizwXBEREZEHlUVxD0DuPzY2NsyaNYu4uDggL2E/deoUTZo0ISkpicOHDwOwceNGatSoQcWKFe+o3T179jB48GBcXFy4cOEC8fHxGI3GAs/t1asX7u7uGAwGjh8/XuC5IiIiIg8qrczLXXNycmLUqFEMHz6crKwsANq2bcubb75J+/btmThxItevX6dChQp89tlnd9zu66+/znvvvYetrS2VK1emYcOGphuGvxswYAABAQF8/fXXlC1blqZNmxZ4roiIiMiDSptGiYiIiJiRNo0yD20alUebRokUICEhBaNR97KFoT+05qE4Fp5iaB6Ko3lUrVoebRolRUU18yIiIiIi9ymV2YiIiIiYkcpszEOfFOVRmY2USJGRkQQGBrJ8+fJiG0P0ytfISLlYbP2LiMiDqc2w9ajMRoqKymxERERERO5TWpmXEiM7O5uAgABiYmK4fPkyderUITAwEBsbG9asWcOSJUswGAw0aNCAjz76CGtra8aNG0dMTAwAffv2pWfPnsU8CxEREZGio5V5KTEOHjxIqVKlCA4OZtu2bWRkZLBjxw5OnDjBwoULWb58OeHh4ZQpU4bAwEAOHjxIcnIy69atY8mSJRw4cKC4pyAiIiJSpLQyLyWGo6MjFStWZMWKFZw+fZrY2FjS0tKIjo6mXbt22NnZAdCrVy8++OADhg0bxpkzZxg8eDAvvvgiY8eOLeYZiIiIiBQtrcxLibF9+3bGjh2LjY0NXl5eODo6kpubi9FozHdebm4u2dnZ2NnZsWHDBl599VXOnDmDp6cnV69eLabRi4iIiBQ9JfNSYuzbtw8XFxe8vb2pUqUK0dHR5OTk0Lx5cyIiIkhKSgJg1apVtGjRwpT8v/TSS/j7+/PII49w4cKF4p2EiIiISBFSmY0Um59//pmmTZuafm/cuDGRkZFs3rwZa2trmjRpQlxcHD169OD111/Hx8eHrKwsGjRowCeffELp0qXZsmULXbt2pXTp0rzyyivY29sX44xEREREipY2jRIRERExI20aZR7aNCqPNo0SKUBCQgpGo+5lC0N/aM1DcSw8xdA8FEfzqFq1PNo0SoqKauZFRERERO5TKrMRERERMaOc7EwSVWZTaPqkKI/KbKTIpKSkMGvWLKKjo7G0tMTW1hY/Pz8aNGhQ3EO7pX1Bg0hPuVjcwxARkQdMuyEbUJmNFBUl82IWRqORoUOH0qJFC9atW4eVlRX79+9n6NChbNiwwbThk4iIiIiYj2rmxSwiIyO5ePEio0ePxsoq7x7RycmJKVOm4OvrS3BwsOlcHx8ffv31V3x8fPj444/x9PSkS5cu7N69GwA/Pz+GDx+Oi4sLERERtG/fnri4OFM/Pj4+ACxZsgR3d3e6devG+PHji3jGIiIiIsVPybyYxbFjx2jUqBEWFvnfUs7OzgwZMoSwsDAAzp07R2JiIs899xwAmZmZrF27llmzZuHn50dmZiYAFStWZNOmTbRv3/6W/WVnZ/Pll1+yZs0aQkJCMBgMxMfH38MZioiIiJQ8SubFLCwsLCjou9QtWrTg4sWLxMXFsW7dOjw8PEyv9ezZEwAHBweqVq3KiRMngLwNpG7HysqKpk2b0r17dwIDA+nXrx/Vq1c302xERERE7g9K5sUsGjZsyLFjx25K6GfPnk1kZCTdunVjw4YNbN68OV8yb2lpafrZaDSaSnRsbGzytXOj3ezsbNOxBQsWEBAQQG5uLkOGDCEqKsrs8xIREREpyZTMi1k0a9aMypUrExgYSE5ODgC7du0iJCSEp59+Gi8vL4KCgnj00UfzraBv3LgRgCNHjnD16lWeeeaZm9q2s7Pj1KlTAGzfvh2AxMREXFxceOaZZxgzZgytW7c2reqLiIiIPCz0NBsxC4PBwIIFC5gyZQqurq5YWVlhZ2fHokWLqFKlCgCPPfYYnp6e+a47e/as6dhnn32Wb6X+htGjRzNx4kQCAwNp06YNAJUqVaJ37950796dMmXK3LJtERERkQedNo2Sey43N5eLFy/i4+PD+vXrsba2BvKeajNq1ChatGhRzCMUERExH20aZR7aNCqPNo2SYrdlyxYCAgIICAgwJfIlQUJCCkaj7mULQ39ozUNxLDzF0DwUR/OoWrU82jRKiopW5kVERETMSCvz5qGbyzxamX+Ibd68mUWLFpGdnU1ubi4eHh4MGTLELG3b29tz4sQJvvvuOwD69Olz0znTpk1j7dq17Ny5865X5ENCQoiKimLq1Kn5jsfHx+Pv789XX3317wf//+0KGkh6ysVCtyMiIvJXLw/ZiFbmpagomX9AxcfHM23aNEJCQrCzsyM1NRUfHx/q1KlDhw4dzNbPrZJ4yHuE5KZNm2jatCmbN2/G3d3dLP1Vr17dLIm8iIiIyINAj6Z8QF25coWsrCzS09MBKFu2LFOnTuXpp58GYNOmTfTs2RN3d3c6depEdHQ0kPel1MjISADi4uJMO7DGxcXRp08fPDw8GD9+vKmfefPmMW/evJv637FjB7Vq1aJbt24EBwebjkdGRtK9e3e8vLx4//33iY+PZ/DgwfTs2ZN27doxc+ZM07m///47/fr1o2vXrsycOZPc3Nx8Yzp58iQ+Pj54e3vTrl07li1bZs4QioiIiJR4SuYfUPXr16dDhw507NiR7t27M2PGDIxGI0888QRGo5GgoCAWLlxIWFgYQ4cOZfHixbdtb+LEiXh5eREaGsrzzz//j/2HhITQuXNnnJ2d+e2330zPiQeIjY1l6dKlTJs2jfXr1+Pq6sqqVasICwtj5cqVJCYmAnk3EPPmzWPt2rX88ssvpmfM3/D9998zYsQI1qxZw7Jly/jss8/+RaRERERE7l9K5h9gn3zyCREREfTp04fz58/Ts2dPtm7dioWFBfPnz2f37t18/vnnrF27ltTU1Nu2FRUVhYuLCwDu7u6UKlWqwHMTExPZvXs3Li4u2NjY0K5dO4KCgkyv16lTh/LlywMwePBgHnvsMRYvXszkyZPJysri+vXrALRv355KlSphbW2Ni4vLTTu8+vn5kZGRwZdffslnn31GWlrav4qTiIiIyP1KNfMPqJ9++om0tDS6dOmCt7c33t7erFq1itWrV9O6dWu8vb3x8PDA0dERe3t7VqxYYbr2xgOOsrOz87V547jBYMBgMBTYd1hYGLm5uXTv3h2A9PR0srKyGDt2LAA2Njamc6dOncrZs2dxdXWlY8eO7N2719SPldX/vT1zc3Pz/Q7w1ltvYWtrS7t27ejSpQsbNmy46ziJiIiI3M+0Mv+AsrGxYdasWcTFxQF5yfCpU6dwcHAgNjYWCwsLhg8fjpOTEzt37iQnJwcAOzs7U0nMDz/8YGqvVatWhIWFAbB161YyMzML7HvNmjVMnTqViIgIIiIi2L17NxUqVGDjxo03nbtnzx4GDx6Mi4sLFy5cID4+HqPRCOTV3V+9epWMjAw2bNhAq1atbrp29OjRdOzY0VTzf2MeIiIiIg8Drcw/oJycnBg1ahTDhw8nKysLgLZt2zJy5EgsLS1xcHAwlcE4Ojpy/vx5AIYMGYKfnx9r1qzJ99Sb8ePH4+vrS1BQEI0aNaJs2bK37Pfo0aNcuXKFl19+2XTMwsKCAQMGEBQUxLvvvpvv/Ndff5333nsPW1tbKleuTMOGDU03IE899RTDhg3j6tWruLq60qZNG9NrAG+++SZ9+/bF1taWOnXq8PjjjxMXF8cTTzxhniCKiIiIlHDaNEoeWnrOvIiI3AsvD9mozY7MQJtG5fmnTaOUzIuIiIiYkXaANQ8l83m0A6xIARISUjAadS9bGPpDax6KY+EphuahOJpH1arl0Q6wUlS0Mi8iIiJiRlqZNw/dXObRyryYTVxcHB06dKBXr15MmDDBdPy3336jW7duTJkyBS8vr2Ic4d35KXgg11UzLyIiZuYyeCNamZeiokdTyl2pWLEiu3btyvcIyI0bN1KpUqViHJWIiIjIw0nJvNyVsmXL4uDgYHquO+Q97/3GM+B//PFHPDw8cHNzY8SIEVy+fBnI2831rbfeolOnTiQkJLBmzRpcXV1xc3PDz8/PtANteHg4Xbp0oWvXrvj5+ZGVlUVSUhIjR47ExcUFDw8P9u3bd9u+RERERB4WSublrrm4uLBlyxYADh8+jL29PaVKlSIhIYHx48czf/58wsPDef755/OV47z44ots2bKFy5cvs3DhQpYvX054eDhlypQhMDCQ+Ph4pkyZwtdff82GDRvIyclhx44dfP7559SuXZtNmzYxffp05syZ8499iYiIiDwMlMzLXWvXrh07d+7EaDSyadMmXFxcAChTpgyNGzemZs2aAPTq1Yv9+/ebrnvuuecAiI6Opl27dtjZ2eU77+DBgzz//PM8+uijAMyYMcO0u6uHhwcA9vb2BAcHc/jw4dv2JSIiIvIwUDIvd61cuXLUr1+fX375hf3795tKbIxGY77zcnNzyc7ONv1eunTp255nZZX/+9iJiYkkJibedPx///vfP/YlIiIi8jBQMi//iouLC7NmzaJhw4amZDs9PZ1ff/2VuLg4AIKDg2nRosVN1zZv3pyIiAiSkpIAWLVqFS1atKBRo0b8+uuvXLp0CYBPP/2U7du306xZMzZu3AjkJfJDhw7lueeeu6O+RERERB5kejSl/Cvt2rXjww8/ZMyYMaZjVapUYcKECYwaNYqsrCxq1KjB5MmTb7q2fv36vP766/j4+JCVlUWDBg345JNPKFeuHB9++CGDBw/GaDTSpEkTvLy8SE1Nxd/fH3d3d6ysrJg+ffod9yUiIiLyINOmUfLQ0nPmRUTkXnAZvFGbHZmBNo3K80+bRimZFxERETEj7QBrHkrm82gHWJECJCSkYDTqXrYw9IfWPBTHwlMMzUNxNI+qVcujHWClqGhlXkRERMSMtDJvHrq5zKOVeTGruLg4OnfuTN26dTEYDGRlZVGtWjWmTJliej78P/nggw8YNWoUjz/+uNnGNW/ePADefPPNO75m26oBqpkXERGzc39tE1qZl6KiR1PKXatWrRqhoaGsW7eODRs20LBhQyZOnHjH10dGRqIPhEREREQKT8m8FFqzZs2IjY3l0KFD9OjRA3d3dwYMGMDvv/8OgI+PD6NGjaJTp04sWrSIixcvMmzYMK5cuUL79u1Nz4qPjIzEx8cHgJMnT+Ll5YWHhwcTJ07k5ZdfNh338fHB29ubdu3asWzZsuKZtIiIiEgJoGReCiUrK4tNmzbRuHFj3nnnHT766CPCwsLo3bs377zzjuk8e3t7tmzZwrBhw6hWrRqLFi3Czs6uwHb9/PwYM2YMoaGh1KpVi5ycHAC+//57RowYwZo1a1i2bBmfffbZPZ+jiIiISEmlZF7u2sWLF/Hw8MDDwwN3d3dyc3Px8vLC1taWxo0bA3k7xP7xxx9cu5b3xZUbx+9EUlIS586dw9nZGQBvb2/Ta35+fmRkZPDll1/y2WefkZaWZsaZiYiIiNxf9AVYuWs3aub/6vjx4zedl5uba1pRt7GxKbC9G/Xz2dnZAFhaWhZYU//WW29ha2tLu3bt6NKlCxs2bPhXcxARERF5EGhlXsziqaeeIikpicOHDwOwceNGatSoQcWKFW8619LS0pTk29nZcerUKQC2b98OQPny5alduzY7duwAIDw83HTtnj17GD16NB07diQ6OhrA1JaIiIjIw0Yr82IW1tbWfPbZZ0ycOJHr169ToUKFAuvZX3rpJYYNG8Z//vMfRo8ezcSJEwkMDKRNmzamc6ZNm8a4ceOYM2cO9vb2ppX9N998k759+2Jra0udOnV4/PHHTV+gFREREXnYaNMoKZECAwPp2bMn1apVY+vWrYSHh5ueJW8ues68iIjcC+6vbdJmR2agTaPyaNMouS/VqFGD1157DSsrK2xtbZk8ebLZ+3i551KztykiIpKTnVncQ5CHiFbm5aGVkJCC0ai3f2Fo1cQ8FMfCUwzNQ3E0D8XRPBTHPP+0Mq9kXkRERMSMcrIzSbySUdzDuO8pmc+jMhspkeLi4ujcuTN169bFYDCQlZVFtWrVmDJlCo8++miRjGHz9wNIS4kvkr5EROTh4TVoM6BkXoqGHk0pxebG8+rXrVvHhg0baNiwIRMnTizuYYmIiIjcN5TMS4nRrFkzYmNjOXz4MH369MHT05PXXnuNs2fPAuDj48OoUaPo1KkTv/32G/b29qZrQ0JC8PPzK66hi4iIiBQLldlIiZCVlcWmTZto3Lgx/v7+LFy4kBo1arBr1y4++ugjvvnmGwDs7e0JDAws3sGKiIiIlBBK5qXYXLx4EQ8PDwAyMzNp3Lgx3t7ebN68mTfeeMN0XkpKiunnxo0bF/k4RUREREoqJfNSbG7UzP/V8ePHqVmzpul4Tk4Oly9fNr1+YyfYG3JzczEYDGRnZ9/7AYuIiIiUMKqZlxLlqaeeIjk5mZ9//hmANWvWMHbs2Fuea2dnR0xMDLm5uURERBTlMEVERERKBK3MS4libW3N559/zuTJk8nIyKBcuXJMmzbtlue+++67DB8+nCpVqvDCCy9w5cqVIh6tiIiISPHSplEiIiIiZqRNo8xDm0bl0aZRIgVISEjBaNS9bGHoD615KI6Fpxiah+JoHlWrlkebRklRUc28iIiIiMh9SmU2IiIiImakMhvz0CdFeVRmI0XK3t6eEydO3PH5ISEhREVFMXXq1CLve/33A0hLiS90vyIiIn/Vc9BmVGYjRUVlNiIiIiIi9ymtzMs9ERkZyYwZMzAajdSrV4/x48czYcIEYmJiyMnJYejQobi6uua7ZtOmTSxZsoT09HQyMjKYNGkSjo6O+Pj40KhRI3755RcSExPx9/fH2dmZuLg4fH19SUtL47nnniummYqIiIgUHyXzcs/Exsby448/Ur58eWbOnEmDBg2YNm0aKSkp9O7dO18CbjQaCQoKYuHChVSqVInVq1ezePFiHB0dAcjKyiI4OJiIiAg+//xznJ2dmThxIl5eXvTo0YN169YRHBxcXFMVERERKRZK5uWeqVOnDuXLlwdg7969pKens2bNGgDS0tKIiYkxnWthYcH8+fOJiIjgzJkzREVFYWHxf1Vgbdu2BaBevXokJSUBEBUVxaxZswBwd3fH39+/KKYlIiIiUmIomZd7xsbGxvSz0WhkxowZNGjQAIDLly9ToUIFwsPDAUhNTcXb2xsPDw8cHR2xt7dnxYoVputLly4NgMFgyNfHjYcxGQyGm14TERERedDpC7BSJJycnPjuu+8AuHjxIu7u7ly4cMH0emxsLBYWFgwfPhwnJyd27txJTk7Obdts1aoVYWFhAGzdupXMzMx7NwERERGREkjJvBSJUaNGkZ6ejqurKwMGDMDX15fatWubXq9fvz4ODg64uLjg6enJI488wvnz52/b5vjx49myZQtubm7s2LGDsmXL3utpiIiIiJQo2jRKRERExIy0aZR5aNOoPNo0SqQACQkpGI26ly0M/aE1D8Wx8BRD81AczaNq1fJo0ygpKiqzERERERG5T6nMRkRERMSMVGZjHvqkKI/KbMSs4uLi6Ny5M3Xr1sVgMJCVlUW1atWYMmUKjz76aHEP766sW92f1JT44h6GiIg8YPoN3ILKbKSoqMxG7lq1atUIDQ1l3bp1bNiwgYYNGzJx4sTiHpaIiIjIQ0cr81JozZo1IyIigk2bNrFkyRLS09PJyMhg0qRJODo64uPjQ6NGjfjll19ITEzE398fZ2dnTp48ycSJE0lLSyMxMZFBgwbRv39/5s2bx/nz5zlx4gQJCQm89dZb7N+/n19//ZX69evz2WefkZOTQ0BAADExMVy+fJk6deoQGBiYb6MqERERkQedknkplKysLDZt2sTzzz9PUFAQCxcupFKlSqxevZrFixfj6OhoOi84OJiIiAg+//xznJ2d+f777xkxYgQtW7bk7NmzuLu7079/fwBOnjzJqlWrOHDgAAMGDCA8PJwnn3ySLl26cOLECa5du0apUqUIDg7GaDQyYMAAduzYQadOnYozHCIiIiJFSsm83LWLFy/i4eEBQGZmJo0bN+bdd9/FysqKiIgIzpw5Q1RUFBYW/1fF1bZtWwDq1atHUlISAH5+fuzatYsvv/ySEydOkJaWZjq/devWWFlZUaNGDapWrcrTTz8NQPXq1UlOTqZFixZUrFiRFStWcPr0aWJjY/NdLyIiIvIwUDIvd+1Gzfxfpaam4uXlhYeHB46Ojtjb27NixQrT66VLlwbAYDCYjr311lvY2trSrl07unTpwoYNG0yvlSpVyvSzldXNb9Pt27czd+5c+vfvj5eXF1euXEEPZhIREZGHjb4AK2YRGxuLhYUFw4cPx8nJiZ07d5KTk3Pba/bs2cPo0aPp2LEj0dHRAP94zQ379u3DxcUFb29vqlSpQnR09B1fKyIiIvKg0Mq8mEX9+vVxcHDAxcUFGxsbHB0dOX/+/G2vefPNN+nbty+2trbUqVOHxx9/nLi4uDvqr0ePHowdO5bNmzdjbW1NkyZN7vhaERERkQeFNo0SERERMSNtGmUe2jQqjzaNEilAQkIKRqPuZQtDf2jNQ3EsPMXQPBRH86hatTzaNEqKilbmRURERMxIK/PmoZvLPA/8ynxcXBydO3embt26GAwGsrKyqFatGlOmTOHRRx81Wz/z5s0D8uq8CxpHhw4dOHHixD+2FRkZyfDhw6lduzYARqOR1NRUhg4dSp8+fcw2ZgB7e/tbjsnHx4dRo0bxyCOPEBQUxOTJkwvVz9y5cwkNDeXVV19l0KBBpuO5ubl88803rFu3DgALCwuGDBlC165dbzu+oUOHMmnSJKpXr16ocd3O6tU+pKbE37P2RUTk4TRg4Fa0Mi9F5b5P5uHmRyXOmjWLiRMnMn/+/CIbg42NzV3tPtqwYUOWL19u+v23336je/fuuLm5Ua5cwXdf5taoUSMaNWpU6HZCQ0P5z3/+Q506dfId/+yzzzh27Bjffvst5cuX588//+TVV1/Fzs6OVq1aFdjeV199VegxiYiIiDzoHohk/u+aNWtGREQEAIcPH2bKlCmkp6djZ2fHJ598Qq1atThz5gzjx48nKSmJRx55hA8//JDGjRvj5+eHwWDg5MmTpKSk8MYbb9CtW7d87e/cuZO5c+eSnZ1NzZo1mThxIlWqVKFdu3YALFmyhLVr12JhYUHjxo2ZMGHCP4753LlzlClTBmtra3Jycpg+fTpRUVHk5OTg5eXFwIEDiYyMZN68eVhZWXHhwgUaN27M5MmTuXjxIv379zfN+e+fInz00UccPnwYOzs7Pv30U2rUqGHqNzIyksDAQJYvX85vv/3G+PHjSU9Pp0KFCsycOfOmTzcWLlxIWFgYlpaWtG7dGl9fXz755BPi4+MZOXIks2bNwsHBAch79vzSpUvZsGED5cuXB+DRRx9l9uzZlClTxtTm+PHjOXTokGnsTzzxBO3bt2fZsmVERUWxa9cukpOTOXv2LK1btyYgIIDs7GwCAgKIiYnh8uXL1KlTh8DAwLu6oRIRERG53z1wz5nPyspi06ZNPP/882RmZuLv78+sWbNYu3YtgwYN4qOPPgLA19cXHx8fwsPD+eCDDxgzZgyZmZkAxMfHExQUxNKlS5k+fTqXLl0ytZ+YmMisWbNYvHgx69ato02bNsycOROAOXPmkJ2dzZdffsmaNWsICQnBYDAQH39zKcfRo0fx8PDglVdeoUWLFoSFhfH1119jbW3NqlWrAFi7di2rV69m+/bt/Pzzz0Dezcn48ePZvHkzGRkZ+TZmKoijoyOhoaG8/PLLty2nGTt2LCNGjCA8PJwuXbqwdOnSfK/v2LGDiIgIQkJCWLt2Lb///jtBQUFMmDCBatWqsWjRIlMiD3D69GnKli1LzZo187XTuHFj6tWrZ/q9VatWhIWF0bp1a4KCgm4a18GDB5k7dy5hYWH8+OOPnDhxgoMHD1KqVCmCg4PZtm0bGRkZ7Nix4x9jISIiIvIgeSBW5i9evIiHhwcAmZmZNG7cmHfffZfY2FjOnj3LG2+8YTo3JSWF1NRU/vjjD1555RUAmjRpQoUKFTh9+jQAXl5elCpVikcffZTnn3+eX375xXT9r7/+yoULF+jfvz+QV+9eoUIF0+tWVlY0bdqU7t2706FDB/r163fLuu8bZTaZmZn4+vpSunRpGjduDORtiPTbb7+xf/9+ANLS0jhx4gRPP/00jo6OPPXUUwB4eHiwatUqXn755QJjY2Njg7u7u+n8OXPm3PK8xMRELl26ZPp0oW/fvjeds3//frp27Wpa/fb29mbdunX069fvlm1aWFjc0a6sHTt2BODpp5823bT8VdOmTU2lR7Vq1SI5OZnmzZtTsWJFVqxYwenTp4mNjSUtLe0f+xIRERF5kDwQyfzfa+Zv+PPPP6lZs6bptZycHC5fvkxubu5NSWZubq5pB1FLS0vTcaPRiJXV/4UpJyeH559/noULFwKQkZFBampqvrYWLFjAoUOH2LlzJ0OGDGHmzJk0b978lmO3trZm0qRJdOrUifXr1+Pq6kpOTg6+vr6mm43ExEQeeeQRfv3113xjy83NxdLSEoPBkG8+2dnZpjFbWFjkO/+vc/mrUqVK5fs9IyODixcvUqtWrXyx+Lvs7OxbtgdQt25d0tPTOX/+fL7Sng0bNnD58mUGDBgAYBrT3+dxQ+nSpU0/3zhn+/btzJ07l/79++Pl5cWVK1fu6MZBRERE5EHywJXZ/NVTTz1FcnKyabV3zZo1jB07lnLlylGrVi22bt0KwKFDh7h8+bKp9GPTpk3k5uZy7tw5Dh8+zAsvvGBq87nnnuPQoUOcOXMGyEvcp0+fbno9MTERFxcXnnnmGcaMGUPr1q3/8Qk35cuX580332TmzJmkp6fj5OTEqlWryMrKIjU1lb59+/Lrr78C8MsvvxAfH4/RaGTdunW8+OKL2NrakpycTGJiIpmZmezatcvUdlpaGtu3bzfNv6AvnZYvX55HH32UPXv2AHlfaP3888/znePk5MSGDRtIT08nOzubNWvW4OTkVOC8bGxs6NevHwEBAaSkpAB5T/2ZPXs2devWvW1M/sm+fftwcXHB29ubKlWqEB0dbboZExEREXlYPBAr8wWxtrbm888/Z/LkyWRkZFCuXDmmTZsGwIwZMwgICGDevHmUKlWKefPmYW1tDUB6ejre3t5kZmYyYcIE7OzsTG1WrVqVTz/9lLfeeguj0Uj16tWZMWOG6fVKlSrRu3dvunfvTpkyZXjsscfw9PT8x7H26NGDZcuW8fXXXzN06FB+//13PD09yc7OxsvLixYtWhAZGUm1atV47733iI+Pp3Xr1vTo0QNLS0sGDx5M9+7defTRR/M9ncbW1pYffviBzz//nOrVqzNlypQCx3AjJtOnT8fOzi7fTQpAu3bt+O233/D29iY7O5u2bdvy6quv3nZeb7/9NoGBgfTs2RMrKyssLS159913adOmzT/G5J/iNXbsWDZv3oy1tTVNmjQhLi6uUG2KiIiI3G+0adTf+Pn50bx5c7y8vIp7KDf565NnpPD0nHkREbkXBgzcqs2OzECbRuV54DeNEvm3unfXTZGIiJhfTnZmcQ9BHiJamZeHVkJCCkaj3v6FoVUT81AcC08xNA/F0TwUR/NQHPP808q8knkRERERM8rOyeRKYkZxD+O+p2Q+j8psxOwiIyMZPnw4tWvXJjc3l6ysLNzd3fM9z//vfHx8GDVqFC1atChU30eOHCEoKOi2m1/dqeA1PqSkqmZeRETMa3D/rYCSeSkaSublX7mx6RVAamoqXbp04eWXX+bpp5++p/02atQo39N6RERERB5mD/Rz5qVopKenY2lpSfny5Wnfvr3pEZGRkZH4+PjcdP6sWbN45ZVX6NWrF6NGjSIkJASAzz77jJ49e9KpUyd69+7NpUuXgLzn2w8ePBgPDw/27NljajMqKoo+ffrg6elJ+/bt2bRpUxHNWERERKRkUDIv/8rRo0fx8PDAzc2N9u3b07x5c6pVq/aP10VERPDLL7+wfv16Fi1axLFjxwD4/fffOX36NEFBQWzZsoXatWsTHh4OwJUrVxg2bBihoaH5drD99ttvmTRpEmvXrmXy5MksWLDg3kxWREREpIRSmY38K38vsxk+fDiLFi36x+v27t2Li4sL1tbWWFtb07FjRwCeeOIJ3n//fb7//nvOnDnDoUOHqF27tum655577qa2ZsyYwY8//sjmzZv59ddfSU1NNdPsRERERO4PWpmXQitbtiwdO3bkwIEDANx4QFJ2dvZN51pYWGA0Gm86fvToUQYPHozRaKRTp0507NiRvz5oycbG5qZr+vbty+HDh2nYsCHDhw8313RERERE7htK5qXQcnJyiIqK4tlnn8XOzo5Tp04BsH379pvObd26NVu3biUzM5OUlBR++uknDAYD0dHRNG/enD59+vD000+zZ88ecnJyCuwzKSmJ2NhYxowZg7Oz8z+eLyIiIvIgUpmN/Cs3auYBrl+/TqNGjRg6dChNmjRh4sSJBAYG0qZNm5uuc3Z25sCBA3h6elKhQgWqVatG6dKl6dKlC6NGjcLNzY1SpUphb29v+iLtrVSsWJEePXrQtWtXypUrR5MmTUhPTyctLY1HHnnkns1bREREpCTRplFSpA4ePEhsbCyenp5kZWXRq1cvPv30U+rXr1/kY9Fz5kVE5F4Y3H+rNjsyA20alUc7wEqJkpSUxLvvvsulS5fIzc2lW7duDB48uLiHJSIiYjbaAdY8lMznUTIvUoCEhBSMRr39C0N/aM1DcSw8xdA8FEfzUBzNQ3HMo2ReREREpAhpZd48lMzn+adkXl+AlSKXkpLCrFmziI6OxtLSEltbW/z8/EhJSSEwMND0/Pob4uPj8ff356uvvsLPz4/mzZvj5eVV6HGsCOmvmnkRETG71322AErmpWjo0ZRSpIxGI0OHDqVChQqsW7eO0NBQRo4cydChQ0lKSrrlNdWrV+err74q2oGKiIiI3AeUzEuRioyM5OLFi4wePRorq7wPhpycnJgyZQo5OTkkJiYydOhQOnXqxPDhw8nMzCQuLo727dvf1Na6devw9PTEw8ODcePGkZGhVRARERF5uCiZlyJ17NgxGjVqhIVF/rees7MzlStX5vz584wfP55NmzZx+fJl9u7de8t2YmJiWLVqFUFBQYSGhlK5cmUWL15cFFMQERERKTFUMy9FysLCgtt957p+/frUqlULgLp163LlypVbnhcZGcnvv/9Oz549AcjKyuLZZ581/4BFRERESjAl81KkGjZsyMqVK8nNzcVgMJiOz549m1atWplKbwAMBkOBiX9OTg4uLi74+/sDkJqaSk5Ozr0dvIiIiEgJozIbKVLNmjWjcuXKBAYGmpLvXbt2ERISQmJi4h2306JFC7Zt20ZCQgK5ubkEBASwdOnSezVsERERkRJJK/NSpAwGAwsWLGDKlCm4urpiZWWFnZ0dixYt4tq1O3+WbP369Rk1ahQDBgzAaDTi4ODAsGHD7uHIRUREREoebRolIiIiYkbaNMo8tGlUHm0aJVKAhIQUjEbdyxaG/tCah+JYeIqheSiO5lG1anm0aZQUFdXMi4iIiIjcp1RmIyIiImJGKrMxD31SlEdlNlLkTp48iZubG3PnzqVTp053ff3Zs2f54osv+PTTT2967bvvvgOgT58+hR7n0rX9uZYaX+h2RERE/mrUq1tQmY0UFSXzYnYhISF06tSJoKCgf5XMnz9/nrNnz97yNXMk8SIiIiIPCiXzYlbZ2dmEhYWxYsUKevfuzR9//EHt2rVp3749y5Yto2bNmkRGRhIYGMjy5ctZsmQJa9euxcLCgsaNGzNhwgQmTZpEXFwcn3zyCZ07d2bGjBkYjUbq1atHzZo1AXjzzTf59ttvCQ0N5fr16xgMBubMmUPdunWLOQIiIiIiRUdfgBWz+umnn6hRowZ16tShY8eOBAUFFXhudnY2X375JWvWrCEkJASDwUB8fDz+/v40bNiQjz/+GIDY2FiWLl3KtGnTTNempKTwww8/sHz5ctavX0/Hjh1ZuXLlPZ+fiIiISEmiZF7MKiQkBFdXVwC6dOnC2rVryczMvOW5VlZWNG3alO7duxMYGEi/fv2oXr36TefVqVOH8uXL5ztWrlw5Zs2axYYNG5g1axY//vgjaWlp5p+QiIiISAmmMhsxm4SEBHbu3MnRo0dZtmwZubm5XL16la1btwJw48FJ2dnZpmsWLFjAoUOH2LlzJ0OGDGHmzJk3tWtjY3PTsQsXLuDj48Orr77Kiy++SJUqVfjtt9/u0cxERERESiYl82I2YWFhODk58Z///Md0bN68eQQHB2NnZ8epU6eoVasW27dvByAxMZG+ffuyZs0amjZtyp9//smJEydwcHDIl/DfypEjR3jiiScYOHAgmZmZLFy4kEqVKt3T+YmIiIiUNCqzEbMJCQmhb9+++Y717duXw4cP4+XlxeTJk/H29jaVzFSqVInevXvTvXt3vLy8uHr1Kp6entStW5dr167h6+tbYF+tW7fGaDTSpUsXevbsyeOPP05cXNw9nZ+IiIhISaNNo0RERETMSJtGmYc2jcqjTaNECpCQkILRqHvZwtAfWvNQHAtPMTQPxdE8qlYtjzaNkqKiMhsRERERkfuUymxEREREzEhlNuahT4ryqMxG7lhKSgqzZs0iOjoaS0tLbG1t8fPzo0GDBoVq96+7vxbm+hMnTnD06FHGjBlTqPHc8HVof66mxpulLRERkRve6rsFldlIUVEyLwAYjUaGDh1KixYtWLduHVZWVuzfv5+hQ4eyYcMG7OzsinuIdOjQgQ4dOhT3MERERERKDCXzAkBkZCQXL15k9OjRWFjkfZXCycmJKVOmYDQa8ff3JyYmhsuXL1OnTh0CAwO5fPkyI0eOpFatWpw8eZKGDRvSvHlz1q5dS3JyMvPnz6du3boABAYGcvz4cUqXLs0nn3xC/fr1uXz5Mh9++CHnz5/HysqKt99+mxdffJGkpCR8fX35888/qVu3LhkZeasbISEhREVFMXXqVDZt2sSSJUtIT08nIyODSZMm4ejoWGzxExERESkO+gKsAHDs2DEaNWpkSuRvcHZ25vTp05QqVYrg4GC2bdtGRkYGO3bsAODEiROMGDGCzZs3c+TIEc6dO0dwcDCurq4EBweb2nniiSdYt24dI0aMwM/PD4CJEyfi5OREeHg4c+fOZdy4cVy+fJm5c+fy7LPPEh4eTr9+/bh8+XK+MRmNRoKCgli4cCFhYWEMHTqUxYsX3+MIiYiIiJQ8WpkXACwsLCjou9COjo5UrFiRFStWcPr0aWJjY0lLSwOgSpUqPPvsswA8+uijtGzZEoAaNWrk28SpR48eQN7Nga+vL1evXmX//v1MmjQJgFq1avHcc8/x66+/EhUVxaxZs0x916pV66axzp8/n4iICM6cOUNUVNRNNyEiIiIiDwNlQAJAw4YNOXbs2E0J/ezZs/nhhx8YO3YsNjY2eHl54ejoaDrP2to63/mWlpa3bP/vx0uVKnVTX7m5ueTk5GAwGPK99vdrU1NT8fb2Ji4uDkdHR3x8fO5usiIiIiIPCCXzAkCzZs2oXLkygYGB5OTkALBr1y5CQkLYtWsXLi4ueHt7U6VKFaKjo03n3Knw8HAAtm3bxlNPPUWZMmVwcnJi9erVAJw9e5YDBw7QpEkTWrZsSWhoKACHDx/mjz/+yNdWbGwsFhYWDB8+HCcnJ3bu3HnX4xERERF5EKjMRgAwGAwsWLCAKVOm4OrqipWVFXZ2dixatAhLS0vGjh3L5s2bsba2pkmTJvlKaO5EbGwsHh4elC1blqlTpwLw4YcfMn78eEJCQgCYNGkS1apVY/To0fj5+dG1a1eeeuqpm8ps6tevj4ODAy4uLtjY2ODo6Mj58+fNEwgRERGR+4g2jRIRERExI20aZR7aNCqPNo0SKUBCQgpGo+5lC0N/aM1DcSw8xdA8FEfzqFq1PNo0SoqKknl5aN3uLlfuXN7/tKSwFMfCUwzNo6THMTMrneSkrOIehkiJoWRebisyMpLAwECWL19uOnbkyBGCgoKYPHkywcHBlC1bFldXV/z8/GjevDleXl73ZCzx8fH4+/vz1VdfmaW9hWH9uZoab5a2RESkaLzXZwugZF7kBiXzctcaNWpEo0aNADh48CDNmzcvkn6rV69utkReRERE5EGgR1PKXYuMjMTHx4e9e/cSERHB3Llz2bVrFwA//fQT3bt3p127dqYdYOfNm8e8efNM17dv3564uDhSUlIYPXo0vXr1ol27dvj6+pKbm0tkZCSvvfYaI0aMoFOnTowePZrMzEzi4uJo3749ACdPnsTHxwdvb2/atWvHsmXLij4QIiIiIsVMK/Pyr7Vq1Yr27dvTvHlz2rZty4YNG8jMzOT7778nJiaG/v3706tXrwKv/+mnn3BwcGDu3LlkZmbStWtX/vvf/wJ5K/6bNm2iWrVq9OzZk927d/PMM8+Yrv3+++8ZMWIELVu25OzZs7i7u9O/f/97PmcRERGRkkTJvJhVhw4dMBgM1KtXjytXrtz2XFdXVw4fPsw333zD6dOnSUpKIi0tDYB69erx6KOPAlC3bl2Sk5PzXevn58euXbv48ssvOXHihOk6ERERkYeJymzErCwtLYG8TahuMBgM/HU7g6ysvC8uLV++nOnTp1OpUiVeffVV6tatazqvdOnSBV4P8NZbb7Ft2zbq1q3L22+/fc/mIyIiIlKSKZmXQrG0tCQnJ+e259jZ2XHq1CkADh8+zKVLlwDYs2cPvXr1wt3dHYPBwPHjxzEajXfU7549exg9ejQdO3YkOjoa4B/HISIiIvKgUZmN/KOff/6Zpk2bmn6vXr06VatWBfLq5mfPnk358gU/l7hLly5s2bKFLl260KBBA5599lkABgwYQEBAAF9//TVly5aladOmxMXFUbt27X8c05tvvknfvn2xtbWlTp06PP7448TFxfHEE08UcrYiIiIi9w9D7t/rF0QeEnrOvIjI/ee9PltK/C612knXPBTHPBYWhttudKmVeXloDXfX4yxFRO43mVnpxT0EkRJFybw8tBISUjAa9cFUYWjVxDwUx8JTDM1DcRS5/yiZl4fW7T6ykjtXtWrB35eQO6c4Fp5iaB4lPY6ZWekkJ2UV9zBESgwl83JPRUZGEhgYyPLly+/ofB8fn9ue+9133wHQp0+fQo9tXnh/ktNUMy8icj/x77UFUDIvcoOSeSlRoqKibvu6OZJ4ERERkQeFknkpctnZ2QQEBBATE8Ply5epU6cOgYGBzJw5E4AePXrg5uZGbGws48ePB2DatGlUq1aNlJQUIO/RlN9++y2hoaFcv34dg8HAnDlzqFu3brHNS0RERKSoadMoKXIHDx6kVKlSBAcHs23bNjIyMtixYwf+/v4AfP/993Tt2pUffviBnJwccnNz2bJlC127djW1kZKSwg8//MDy5ctZv349HTt2ZOXKlcU1JREREZFioZV5KXKOjo5UrFiRFStWcPr0aWJjY0lLS8t3TuXKlXFwcCAyMpJSpUrx5JNPUq1aNdPr5cqVY9asWWzYsIHY2Fh27dqFg4NDUU9FREREpFhpZV6K3Pbt2xk7diw2NjZ4eXnh6OjIrfYuc3d3Z+PGjWzcuBF3d/d8r124cIFevXpx7do1XnzxRTw9PW/ZhoiIiMiDTMm8FLl9+/bh4uKCt7c3VapUITo6mpycHAAsLS3Jzs4GoEOHDkRHR7N7925efvnlfG0cOXKEJ554goEDB/Lcc8+xc+dOUxsiIiIiDwuV2cg99/PPP9O0aVPT740bNyYyMpLNmzdjbW1NkyZNiIuLA/ISeA8PD0JCQrCxseH5558nMzOTsmXL5muzdevWfPfdd3Tp0gVra2saN25MTExMkc5LREREpLgZclWbIA8pPWdeROT+499rS4nfpVY76ZqH4pjHwsJw240utTIvD6033ZYV9xBEROQuZWalF/cQREoUJfPy0EpISMFo1AdThaFVE/NQHAtPMTQPxVHk/qNkXh5at/vISu5c1arli3sIDwTFsfAUQ/Mo6XHMyMrgalJmcQ9DpMRQMi9mFRcXR+fOnU07sRqNRlJTU+nWrRujR48udPvbt2/n6NGjjBkzptBtzVo/gCTVzIuI3Fcm9twMKJkXuUHJvJhdtWrVCA0NNf0eHx9Pp06d6Nq1qynJ/7c6dOhAhw4dCjtEERERkQeCnjMv99ylS5fIzc3l6NGj+Pj4mI77+fkREhJCSkoKw4YNw8vLCy8vL7Zv3w7AkiVLcHd3p1u3bowfPx6AkJAQ/Pz8ANi0aRM9e/bE3d2dTp06ER0dXfSTExERESlGWpkXs7t48SIeHh5kZGRw5coVGjVqRGBgINbW1rc8f9u2bTz++OMsWrSI//3vf6xevRpnZ2e+/PJLdu3ahaWlJZ988gnx8f9XEmM0GgkKCmLhwoVUqlSJ1atXs3jxYhwdHYtqmiIiIiLFTsm8mN2NMhuj0cjUqVM5ceIETk5OHDhw4JbnN23alNmzZxMfH89LL73EyJEjsbKyomnTpnTv3p0OHTrQr18/qlevbrrGwsKC+fPnExERwZkzZ4iKisLCQh80iYiIyMNF2Y/cMxYWFrz33nskJCTw9ddfYzAY+OseZVlZWQA8+eSTbNq0CTc3N37++We6d+9Obm4uCxYsICAggNzcXIYMGUJUVJTp2tTUVLy9vYmLi8PR0TFf+Y6IiIjIw0LJvNxTVlZWvPfeeyxcuBBLS0vOnj1LRkYGSUlJ/PLLLwB8++23zJs3DxcXFz7++GMSExO5cuUKLi4uPPPMM4wZM4bWrVtz4sQJU7uxsbFYWFgwfPhwnJyc2LlzJzk5OcU1TREREZFioTIbuedefPFFmjRpQkhICM7OznTt2pXHH3+cF154AYBu3brxzjvv4ObmhpWVFaNGjaJSpUr07t2b7t27U6ZMGR577DE8PT3ZunUrAPXr18fBwQEXFxdsbGxwdHTk/PnzxTlNERERkSJnyP1r3YPIQ0TPmRcRuf9M7Lm5xO9Sq510zUNxzGNhYbjtRpdamZeH1ruuS4t7CCIicpcysjKKewgiJYqSeXloJSSkYDTqg6nC0KqJeSiOhacYmofiKHL/UTIvD63bfWQld65q1fLFPYQHguJYeIqheZT0OGZkZXA1KbO4hyFSYiiZf4hFRkYSGBjI8uXLAUhJSWHw4ME0bdrUtMtqcbh27Rrvv/8+CxYsuKf9fLpxAFdUMy8icl+Z0X0zoGRe5AYl8wLkPbd9yJAhODo6Mnbs2GIdS3JyMsePHy/WMYiIiIjcD5TMC2lpaQwbNgwnJyfeeustvv/+e/bv38+sWbMACAwMxNramoyMDA4dOsSFCxfo168fjo6O+Pn5kZOTQ7Nmzdi5cydr166lQ4cObN++nXLlyhEXF8frr7/Om2++yRdffAGA0Wjk5MmTfP/99/z+++/85z//wdLSkpo1azJjxgwmTZrExYsXGTlyJPPnz+ezzz5j3759JCcnY2dnx7x586hatSpt2rShU6dO/PLLL1haWjJnzhxq1apVnKEUERERKVLaNOohd/36dV5//XViYmIYOHAgAF26dGHfvn2kpqaSm5tLeHg4Hh4eAGRmZrJx40b69euHn58fY8aMITQ0lFq1apGTk0O5cuV46aWX2Lx5MwDr1q3Dw8ODzp07ExoaSmhoKC1atKBv3740btyYOXPm8PXXXxMSEkKdOnU4ffo0/v7+VKtWjfnz5/P7779z+vRpgoKC2LJlC7Vr1yY8PByAS5cu0bJlS9atW4ejoyMrVqwolhiKiIiIFBcl8w+5I0eO0LJlS1xcXPD39wegbNmyODs7s3XrVn755Rdq1apF9erVAWjcuDEASUlJnDt3DmdnZwC8vb1NbXp7exMaGgrA+vXrTTcCAKtXr+bYsWOMGzcOgHbt2tGnTx+mTZtGu3btcHBwyDe+J554gvfff5/vv/+eqVOncujQIdLS0kyvt23bFoB69eqRnJxs1tiIiIiIlHRK5h9yTZo0YcSIEfj5+RETE8N3330H5CXk69evJzw8HC8vL9P5NjY2AFhaWlLQfmOOjo5cvHiRrVu3UrNmTdONwIEDB1i4cCFz586lVKlSAPj7+zN37lwqVqyIr6+v6SbghqNHjzJ48GCMRiOdOnWiY8eO+fotXbo0AAaDocDxiIiIiDyolMw/5KytrQEoU6YM06dPZ8aMGZw6dYpmzZrx559/EhkZSceOHW+6rnz58tSuXZsdO3YAmEpfIC+x7tatG5MmTTLdCFy4cIGxY8cye/ZsqlSpAkB2djavvPIKdnZ2vP7663h4ePDbb79hZWVFdnY2ANHR0TRv3pw+ffrw9NNPs2fPHnJycu5pTERERETuF/oCrJg899xzDBw4kLfffpvVq1fz8ssvk5SUZEr4/27atGmMGzeOOXPmYG9vb1q1B+jatStLliwx3QgsWLCA1NRUAgICTMn466+/zujRoxk0aBA2NjbY2toybdo0KlWqRI0aNfDx8WHmzJmMGjUKNzc3SpUqhb29PXFxcfc+GCIiIiL3AUOuahPkb3Jzc8nKymLQoEGMGzeOBg0a3PK8wMBAevbsSbVq1di6dSvh4eHMmzcPo9HId999x5kzZ0x1+CIiIuZwP2wapZ10zUNxzGNhYbjtRpdamZebXLp0ia5du9KjR48CE3mAGjVq8Nprr2FlZYWtrS2TJ08GYNSoUVy4cIHFixcX1ZD/lYSEFIxG3csWhv7QmofiWHiKoXkojiL3H63My0NLyXzh6X/85qE4Fp5iaB6Ko3kojuahOObRyrxIAW73H4bcuapVyxf3EB4IimPhKYbmUdLjeD+U2YgUpfs6mY+MjGT48OHUrl3bVOft7u7OG2+8cdvrfHx8GDVqFC1atLjl6/Hx8fj7+/PVV1/di2Hj7+/P008/bdqk6dtvv2XixIns3LnT9BjHXr168fbbb+Pk5HTLNuzt7Tlx4gTz5s0D4M0337zrcXz44Yf07t2bRo0a/eO5cXFxdO7cmbp165pi3bp1a8aNG4eFRdE+FOnG3AvLf/MAEtPizTAiEREpKgu8NgNK5kVuuO8fTdmwYUNCQ0MJCwtj9erVBAUFcerUqUK1Wb169XuWyAO0bNmSAwcOmH7fvXs3bdq0YdeuXQCkp6dz+vRpnn/++Xs2BoDJkyffUSJ/Q7Vq1UyxDgsL49ChQ6Yxi4iIiEjRu++T+b9KT0/H0tKS8uXzPiI8fPgwffr0wdPTk9dee42zZ8/edM2sWbN45ZVX6NWrF6NGjSIkJIS4uDjat28PgJ+fHyEhIabz7e3tAZg3bx4ffPABXl5eODs7s3btWt5//306d+7MW2+9ZdrAyMPDg/j4/Ku/Tk5OHDx4EIDMzEz+97//MWDAAHbv3g3AoUOHaNKkCdbW1nz22Wf07NmTTp060bt3by5dulTg/H/88Uc8PDxwc3NjxIgRXL58GYD27dszZ84cunfvTteuXTl69CiQ9wlFZGQk2dnZ+Pv706tXLzp06MCQIUNIT0+/bawzMjLIysrCzs7O1NaoUaPo1KkTv/32mylOACEhIfj5+QF5j7N0d3fH09OTwMBAAPbt24eXlxdeXl4MGjSIxMREANatW4enpyceHh6MGzeOjIyMfGMo6DoRERGRh8V9n8wfPXrUlMC2b9+e5s2bU61aNTIzM/H392fWrFmsXbuWQYMG8dFHH+W7NiIigl9++YX169ezaNEijh07dld9nzx5klWrVjFjxgzGjRvH0KFDWb9+PceOHTOVgYSGhppKZ26oXLkyFStW5OzZsxw4cIAmTZrQvHlzfvnlF4xGIz///DOtW7fm999/5/Tp0wQFBbFlyxZq166db3Omv0pISGD8+PHMnz+f8PBwnn/+eSZMmGB6vWLFiqxevZrevXvz5Zdf5rv24MGDlCpViuDgYLZt20ZGRoZpM6i/unjxIh4eHri7u+Ps7EzlypWpX7++6XV7e3u2bNmCg4PDLcd47tw5du7cSVhYGEFBQcTGxpKRkcGCBQsICAggJCSEdu3acezYMWJiYli1ahVBQUGEhoZSuXLlm56Oc6vrRERERB4m93XNPOSV2Sxfvhz4f+zde1zP9///8du7UiHUaDYzzdiS8w4qjKZsKZLKISyH4fNpNPYZps1hbMwhPuawMTvYmM0xklMbzRyGbIY5zOFLpiFEUYnq/f790c/7sxYWpYPu18tll0u9Ds/n8/Uo7fF+vp/v5wPS0tIIDQ1l3rx5tGnThtOnT+daP5+amprr3p9++gkfHx+sra2xtra+ZaXTO2nZsiVWVlbUqFEDR0dH6tatC+Qs00lJSbnjvW5ubuzZs4djx47RsmVLbG1tqVOnDkeOHOHnn39m5MiRODk5MWLECJYtW8bJkyfZu3cvtWrVumV7+/fvp3HjxtSsWRPIWXM/b9488/lWrVoB8NRTT/Hdd9/lurdZs2bY29uzaNEiTpw4QXx8POnp6Xn6uLnMBnLeUXj77bcZP368+UVD48aN7/jM1atXx8bGhuDgYNq0acMbb7yBjY0NXl5ehIWF0bZtW7y8vGjZsiVff/01p06domvXrgBkZmZSv379XO3d6j4RERGRsqTUJ/N/VbFiRdq2bctPP/2Eh4cHNWvWNCef2dnZ5mUnN1lYWGA0Gu/YpsFgMC+ZyczMzHWuXLly5q+trO4ulM2bN2fbtm3s27eP3r17AzkvDn755RfOnj3LU089xYEDBxg6dCh9+vTB29sbCwsLbreT6N+fw2QykZWVZf7exsbG/Dx/t2nTJmbOnEmvXr0IDAzk8uXLt+3nJmtra3x8fPjwww/Nx/5aAfbmGAwGg3kcVlZWLFu2jLi4OLZs2UJwcDALFy6kT58+tGnThh9++IGIiAj2799PhQoV8PHxMRedSktLM1eOvelW9/3Th59FREREHiSlfpnNX2VnZxMXF0f9+vV58sknSUlJ4eeffwZgxYoVDBs2LNf1LVu25LvvvuPGjRukpqayefPmPMmuvb29+QO1GzduLLSxurq6snv3bkwmE46OjubxLFmyhGeeeQaA3bt34+rqSvfu3albty7bt2/Pk9De1KRJE/bt20dCQgIAS5Ysue1uPX+3Y8cOfHx8CAoKolq1auzevfu2/fzVzp0788yW3+Tg4MCxY8cwmUzExsYCcOjQIV555RWaNWvGiBEjqFOnDidPnqRLly6kpaXRp08f+vTpw6FDh3Bzc+P7778nKSkJk8nE2LFj+eqrr3L1cav7RERERMqSUj8zf3PNPMC1a9do1KgRAwYMwNramhkzZjBhwgSuX7+OnZ0dkydPznWvh4cHe/bsISAggCpVqvDwww+bZ7Bv6tGjB2+88QZ+fn64u7ubE+/88vf3Z968eXnWzVeqVIny5cvz/PPPm4+5uLiQlJRkXi7i6+tLWFgYfn5+lCtXDmdnZ3Oy/nfVqlXjvffeIywsjMzMTGrUqGGuyPpPunTpwrBhw9iwYQPW1tY0bdr0lv3cXDMPOR+AdXJyYvz48bdsc+jQoYSGhlKtWjWee+45Ll++TP369WnatCkdOnSgfPnyuLi40Lp1a8qXL094eDhWVlbY2Ngwbtw4nn76acLCwujduzdGoxEXFxf+9a9/5erjzTffzHOfiIiISFlSpivA/vrrr8THxxMQEEBmZibdunXjgw8+yPWhThERESk5SkPRKFUuLRyKYw5VgL2D2rVrM3v2bObPn4/JZKJTp05K5MuQpKRUjMYy+1q2UOgPbeFQHAtOMSwciqNI6VOmk3l7e/s82x2KiIiIiJQWZTqZl/xLSEjAy8uLbt265dq//vDhw3Tq1ImJEycSGBh4y3s9PT1ZsGCBedvMgti0aRMHDhxgyJAhBW7rTm9ZSf45OlYq7iE8EBTHglMMC0dJj2NG5nWulvBlNiJFScm85Ju9vT1bt24lOzsbS0tLANatW8dDDz1UZGPw8vLCy8urUNoa8l1vLqYn/vOFIiJSYizqtIGrKJkXuemB2ppS7q+KFSvi4uLC7t27zce2b99OixYtAPj666/p0qULHTp0wM/Pj//7v//LdX9qaiqDBw+mW7dutGnThuHDh2MymRg+fDhLliwxXxcSEsK+ffuYP38+HTt2pFOnTowZMwaAyMhIwsPDAVi/fj1du3alY8eOeHt75xqXiIiISFmgZF7uio+PDzExMUBO1VlnZ2fKlStHamoqGzduZOHChaxZs4a2bdvyzTff5Lp38+bNuLi4sGTJEmJiYti7dy8HDx4kKCiI1atXA/Dnn39y6dIlGjRowCeffMKKFSuIjIzEYDCQmPi/WXSj0cjixYuZO3cuq1evZsCAAfr8g4iIiJQ5WmYjd6VNmzZ8+OGHGI1G1q9fj4+PD+vWrcPOzo5p06axdu1a4uPj2bp1Ky4uLrnu7dChA/v37+fLL7/kxIkTJCcnk56ejpubG6NHjyYhIYGoqCj8/f2xsrLimWeeoXPnznh5edGzZ89ce/VbWFjw0UcfERsby8mTJ4mLi8PCQq9NRUREpGxR9iN3xc7Ojnr16vHLL7+wc+dO8xKbs2fP0q1bN65evUrr1q0JCAjg7yUMFi5cyJQpU3jooYd45ZVXqFOnDiaTCYPBQKdOnVi7di0bNmwwF6b6+OOPGTt2LCaTif79+xMXF2duKy0tjaCgIBISEmjWrBkhISFFFwQRERGREkLJvNw1Hx8fpk2bRsOGDbGyynlzp0KFCjg5OdGnTx+aNGnCli1byM7OznXf9u3b6datGx07dsRgMPD7779jNBoBCAwMZPHixTzyyCNUr16dS5cu4ePjw9NPP82QIUNo2bIlR44cMbcVHx+PhYUFoaGhuLu737I/ERERkQedltnIXWvTpg0jR47MtT1kuXLlMBqN+Pr6Ym1tTePGjTl27Fiu+3r37s3YsWP54osvqFixIs888wwJCQkAPProozz66KMEBAQA8NBDDxEcHEznzp0pX768+dx3330HQL169XBxccHHxwdbW1uaNWvGmTNniigCIiIiIiWDwfT3tRAiRcxkMnH+/HlCQkJYs2YN1tbWRdKvtqYUESl9FnXaUOKr1KqSbuFQHHNYWBjuWBtHM/NS7GJiYhg7dixjx44tskQeYMbLXxVZXyIiUjgyMq8X9xBEShTNzEuZlZSUitGoX/+C0KxJ4VAcC04xLByKY+FQHAuH4phDM/Mit3GnfxiSfyW99HtpoTgWnGJYOEp6HDMyr3M1WRVgRW5SMi93ZcOGDcybN4+srCxMJhP+/v70798fT09PFixYQM2aNQuln/DwcFxdXQkMDDQfS0xMZNSoUXz66aeF0kfv7/tz/tr5QmlLRESKxvqOq7mKknmRm5TMS74lJiYyefJkIiMjcXBwIC0tjZCQEGrXrl0k/VevXr3QEnkRERGRB4H2mZd8u3z5MpmZmWRkZABQsWJFJk2aRN26dc3XGI1Gxo8fT/v27enQoQPz5s0DICwsjA0bNpivCwwM5ODBg8TFxdG9e3cCAgLw9PRk/fr1ufq8du0a3bt3Z9GiRSQkJODp6QnA0aNHCQkJISgoiDZt2rBgwYL7/fgiIiIiJY5m5iXf6tWrh5eXF23btsXFxQU3Nzf8/PxwcnIyX/Ptt99y9uxZVq9ezY0bNwgJCeHpp5/G39+f6Oho2rVrR3x8PNevX6dBgwYMHjyY8ePHU6dOHXbs2MEHH3yAj48PAJmZmYSFheHt7U3Pnj3Ne9IDLFu2jIEDB9K8eXNOnz5Nx44d6dWrV5HHRERERKQ4aWZe7sq4ceOIjY2le/funDlzhq5du5oLOQHs2rWLgIAALC0tKV++PH5+fuzYsQMPDw/27t1Lamoqa9aswc/PD4CIiAiOHTvGRx99xPz580lLSzO3NWPGDI4cOUK3bt3yjCM8PJzr16/zySefMH36dNLT0+//w4uIiIiUMErmJd82b97MunXrqF69OkFBQUyfPp1Ro0axfPly8zVGozHXPSaTiezsbKytrXnxxReJjY1lw4YN5mS+R48e7N+/n4YNGxIaGprr3vbt2+Ph4cHMmTPzjOWNN97g+++/p06dOvznP/+5D08rIiIiUvIpmZd8s7W1Zdq0aeblLiaTiePHj+Pi4mK+xt3dnVWrVpGdnc21a9eIjo7Gzc0NAH9/f+bPn0+VKlV47LHHSE5OJj4+niFDhuDh4cH27dvJzs42t+Xi4sLw4cOJjo7m8OHDucayfft2Bg8eTNu2bdm9ezdArntFREREygKtmZd8c3d3JywsjNDQUDIzMwFo1aoVgwYNIjo6GoBu3boRHx+Pv78/mZmZdOzYkZdeegmA5557jqtXrxIcHAyAvb09Xbp0oX379tjZ2dG0aVMyMjJyLZmxt7dn6NChjBo1iunTp5uPv/766/To0YPKlStTu3ZtHnvsMRISEnKt3xcRERF50KkCrJRZ2mdeRKT0Wd9xdYmvCqrKpYVDccyhCrAit/HVS58V9xBEROQuZWReL+4hiJQoSualzEpKSsVo1BtTBaFZk8KhOBacYlg4FEeR0kfJvJRZd3rLSvLP0bFScQ/hgaA4FpxiWDhKehwzMq9zNflGcQ9DpMRQMi93bdeuXYSGhlKrVi1MJpP5g66vvfbabe8JCQkhLCzMvLPN3yUmJjJq1Cg+/fTT+zXsPHp/N5zz15KKrD8RESm49f5fcBUl8yI3KZmXe9KwYUMWLlwIQFpaGr6+vrz00kvUrVv3ntqrXr16kSbyIiIiIg8CJfNSYBkZGVhaWlKpUiX279/PxIkTycjIwMHBgXHjxvH444/nun7atGnExMTg4OCAo6Mjnp6euLq60qtXL2JjYwkPD8fV1ZXAwEAAnJ2dOXLkCLNmzeLMmTMcOXKEpKQk3njjDXbu3Mm+ffuoV68e06dPx2AwFEcIRERERIqFknm5JwcOHMDf3x+j0cgff/yBj48PDg4ODBgwgLlz51KjRg22bt3K6NGj+fLLL833xcbG8ssvv7BmzRquXbtGQEAAnp6e+e736NGjLF26lD179tC7d2+io6N54okn8PX15ciRI9SrV+8+PK2IiIhIyaRkXu7J35fZhIaG8umnn3L69Olca+dTU1Nz3ffTTz/h4+ODtbU11tbWtG3b9q76bdmyJVZWVtSoUQNHR0fzsp7q1auTkpJSwKcSERERKV2UzEuBVaxYkbZt27Jx40Zq1qxJVFQUANnZ2Vy8eDHXtRYWFhiNxju2ZzAYuFnL7Gal2ZvKlStn/trKSr++IiIiUrZZFPcApPTLzs4mLi6Opk2bkpKSws8//wzAihUrGDZsWK5rW7ZsyXfffceNGzdITU1l8+bNeda529vbc/z4cQA2btxYNA8hIiIiUgppalPuyc018wDXrl2jUaNGvPbaa3h6ejJhwgSuX7+OnZ0dkydPznWfh4cHe/bsISAggCpVqvDwww9jY2OT65oePXrwxhtv4Ofnh7u7O46OjkX2XCIiIiKlicF0cz2DSBH49ddfiY+PJyAggMzMTLp168YHH3xQLB9c1T7zIiKlz3r/L0p8lVpV0i0cimMOCwvDHQtdKpmXIpWcnMzQoUO5cOECJpOJTp060a9fv+IeloiIlBKloQKsktDCoTjmUDIvchtJSakYjfr1Lwj9oS0cimPBKYaFQ3EsHIpj4VAcc/xTMq8181Jm3ekfhuSfo2Ol4h7CA0FxLDjFsHCU9DhmZN7gavL14h6GSImhZF4KZNeuXYSGhlKrVi1MJhOZmZl07Ngx117zfxcSEkJYWBhubm5FONK8en83lvPpl4p1DCIicnfWd5rJVZTMi9ykZF4K7O8FpHx9fXnppZfMBZ1ERERE5P5QMi+FKiMjA0tLSypVqsT+/fuZOHEiGRkZODg4MG7cOB5//HHztVlZWYwdO5Zjx45x8eJFateuzezZs7l48SL9+/fHwcEBGxsbOnbsSFxcHJMmTQL+N7Pv5OTEsGHDSE9Px8LCglGjRtG0adNienIRERGRoqdkXgrs5p7zRqORP/74Ax8fHxwcHBgwYABz586lRo0abN26ldGjR/Pll1+a7/v1118pV64cS5YswWg00rt3b3788UcaNGjAyZMn+eyzz6hZsyaRkZG37Hf58uW8+OKL9O/fn127dvHLL78omRcREZEyRcm8FNjfl9mEhoby6aefcvr06Vxr51NTU3Pd16xZM+zt7Vm0aBEnTpwgPj6e9PR0AKpWrUrNmjXv2G/z5s15/fXXOXz4MB4eHrzyyiuF/GQiIiIiJZuSeSlUFStWpG3btmzcuJGaNWsSFRUFQHZ2NhcvXsx17aZNm5g5cya9evUiMDCQy5cvc3OnVFtbW/N1BoOBv+6gmpmZCcBzzz3H2rVr2bx5M+vWrWPlypXMnz//fj+iiIiISIlhUdwDkAdLdnY2cXFxNG3alJSUFH7++WcAVqxYwbBhw3Jdu2PHDnx8fAgKCqJatWrs3r2b7OzsPG06ODjwf//3f5hMJk6fPs2RI0cAmDJlClFRUQQEBDBmzBgOHTp0/x9QREREpATRzLwU2M018wDXrl2jUaNGvPbaa3h6ejJhwgSuX7+OnZ0dkydPznVfly5dGDZsGBs2bMDa2pqmTZuSkJCQp/0WLVqwYsUK2rVrR+3atXnuueeAnA/CDh06lJUrV2Jpacm77757/x9WREREpARRBVgREREpNUpD0ShVLi0cimMOVYAVuY2kpFSMRr2WLQj9oS0cimPBKYaFQ3EUKX20Zl5EREREpJTSzLyUWXd6y0ryz9GxUnEP4YGgOBacYlg4SnocS8MyG5GipGReioyzs7N5J5r7wdPTkwULFvzj/vQ39fluEufTL9+38YiISOFb12kyV1EyL3KTltmIiIiIiJRSmpmXInfu3DmGDRtGeno6FhYWjBo1iqZNm+Lp6Unjxo05fPgw33zzDQsWLGDHjh2kpKTg4ODArFmzcHR0ZMuWLcycOZOsrCxq1qzJ+++/j4ODQ3E/loiIiEiR08y8FLnly5fz4osvEhkZyfDhw/nll1/M51q3bk1MTAypqamcOHGCxYsXExMTQ61atYiOjubSpUtMmzaNzz//nFWrVvHCCy8wderUYnwaERERkeKjmXkpcs2bN+f111/n8OHDeHh48Morr5jPNWnSBAAnJydGjBjBsmXLOHnyJHv37qVWrVrs27ePs2fP0qtXLwCMRiNVqlQplucQERERKW5K5qXIPffcc6xdu5bNmzezbt06Vq5cyfz58wGwsbEBcqrKDh06lD59+uDt7Y2FhQUmk4ns7GyeffZZ5s6dC8D169dJS0srtmcRERERKU5aZiNFbsqUKURFRREQEMCYMWM4dOhQnmt2796Nq6sr3bt3p27dumzfvp3s7GyaNGnC3r17OXnyJAAff/wxU6ZMKepHEBERESkRNDMvRS4kJIShQ4eycuVKLC0teffdd/Nc4+vrS1hYGH5+fpQrVw5nZ2cSEhJwdHTkgw8+4I033sBoNFK9enUiIiKK4SlEREREip/BZDKpnr2IiIiUCqWhaJSjYyUuXLha3MMo9RTHHBYWhjsWutTMvJRZSUmpGI16LVsQ+kNbOBTHglMMC4fiKFL6aM28iIiIiEgppZl5KbPu9JaV5J+jY6XiHsIDQXEsOMWwcJT0OJaGZTYiRUnJfBmWkJBAr169iI2NzXXc2dmZI0eO3PIeT09PFixYQM2aNfPVx6xZswB4/fXXcx339/cnKirqtveFhISwcOHCfPVxr/rETOd8evJ97UNERArXuoBxXEXJvMhNWmYjxeJOiTxAXFxcEY1EREREpPTSzLzc0tSpU9m6dSsAV69e5fLly/z6668AzJ49m99//x0bGxvGjRtHvXr1uHjxImPGjOHcuXMYDAaGDh1KixYtzO1lZ2fzn//8h5o1a/LWW2+ZZ/937Nhh3lqySpUqTJs2jY8//hiALl26sGzZMr7++muioqK4du0aBoOBDz/8kDp16uDp6UnHjh3Ztm0b165dY/LkyTRs2LCIIyUiIiJSfDQzL7c0bNgwoqKiWLZsGdWqVWPChAnmc05OTqxatYqBAwcSHh4OwIQJEwgKCiIyMpI5c+YwZswYUlNTATCZTIwaNYpHHnmEt956K1c/H3/8MWPHjiUyMpI2bdpw6NAhRo0aBcCyZctITU1l48aNLFy4kDVr1tC2bVu++eYb8/329vYsX76c4OBgPvnkk/sdFhEREZESRTPzZZiFRd7XciaTCYPBYP5+1KhRuLq64uvraz7WpUsXADw8PBg+fDhXrlzhp59+4sSJE8ycOROArKwsTp8+DcDixYu5evUqmzZtytOfl5cXYWFhtG3bFi8vL1q2bJnrvJ2dHdOmTWPt2rXEx8ezdetWXFxczOdbtWoFwFNPPcV33313r6EQERERKZU0M1+GVa5cmatXc+8nnJSURJUqVQD4/PPPSUpK4s0338x1jaWlZa7vy5Urh9Fo5KuvviIqKoqoqCiWLFnC008/DcAzzzxDaGgo48ePzzOGPn36sHDhQmrVqkVERARz5szJdf7s2bN069aNq1ev0rp1awICAvhrnTMbGxuAXC9ARERERMoKJfNlmJ2dHU5OTsTExJiPLVmyhObNm7NlyxaWLVvGf//73zwz+NHR0QB8//33PPnkk5QvXx53d3fz8pfjx4/TsWNHrl27BkC9evUYMGAAx44d44cffsjVVpcuXUhLS6NPnz706dOHQ4cOATkvGLKysvjtt99wcnKiT58+NGnShC1btpCdnX3fYiIiIiJSmmiZTRkXERHB2LFj+eijj8jMzMTZ2ZkxY8bQvXt3srKy6NOnD0ajEfjfNpPx8fH4+/tTsWJFJk2aBOQsxxkzZgx+fn4ATJkyBTu7/+3jbm1tzdixYwkPD8fV1dV8/M033yQ8PBwrKyvzB2ohZ/mNv78/S5cu5dtvv8XX1xdra2saN27MsWPHiiQ2IiIiIiWdwfTXNQsiIiIiJVhpKBrl6FiJCxeu/vOFckeKYw4LC8MdC11qZl7KrKSkVIxGvZYtCP2hLRyKY8EphoVDcRQpfZTMS5l1p1e5kn8lvfR7aaE4FpxiWDhKehxLw8y8SFFSMi/33a5duwgNDaVWrVqYTCYyMzPp2LEjr732WoHa/fbbbwHo3r27uQjV3egTM5vz6SkFGoOIiBStdQEjuYqSeZGblMxLkWjYsCELFy4EIC0tDV9fX1566SXq1q17z2127969sIYnIiIiUiopmZcil5GRgaWlJZUqVcLT05PGjRtz+PBhvvnmGxYsWMCOHTtISUnBwcGBWbNmcfr0afMuNwBHjx5l+vTp5l1tXn/99eJ6FBEREZFipX3mpUgcOHAAf39//Pz88PT0xNXVlYcffhiA1q1bExMTQ2pqKidOnGDx4sXExMRQq1YtoqOjefbZZ83FqAICAvDw8MDb27uYn0hERESk+GlmXorE35fZhIaGMm/ePACaNGkCgJOTEyNGjGDZsmWcPHmSvXv3UqtWLXMb27ZtY9myZSxevFgVX0VERETQzLwUg4oVK9K2bVv27NkDgI2NDZAze9+vXz+MRiPe3t60bduWm2UQ4uPjGT16NDNnzqRSpZK904KIiIhIUVEyL0UuOzubuLg46tevn+v47t27cXV1pXv37tStW5ft27eTnZ1NamoqgwYNYuTIkdSpU6eYRi0iIiJS8miZjRSJm2vmAa5du0ajRo0YMGAAUVFR5mt8fX0JCwvDz8+PcuXK4ezsTEJCAl9//TVnzpxhzpw5zJo1C4CAgIBieQ4RERGRksRgurmOQaSM0T7zIiKlz7qAkSW+Sq0q6RYOxTGHhYXhjoUuNTMvZdaX3mHFPQQREblLGZk3insIIiWKknkps5KSUjEa9cZUQWjWpHAojgWnGBYOxVGk9FEyL2XWnd6ykvxzdNTuQoVBcSw4xbBwlPQ4ZmRmcjU5o7iHIVJiKJmXf5SQkEC7du3MO8kYjUbS0tLo1KkTgwcPLtKxzJgxg4YNG+Ll5VXgtvrEzOV8+pVCGJWIiBSVdQFvcRUl8yI3KZmXfHn44Ydz7TyTmJiIt7c37du3L9LtIocMGVJkfYmIiIiUdErm5Z5cuHABk8lExYoVmTt3LqtXr8bS0pKWLVsyfPhwzp49y6BBg3j88cc5evQoDRs2xNXVlZUrV5KSksJHH31EnTp1WL9+PfPnzycjI4Pr168zfvx4mjVrRkhICI0aNeKXX37h0qVLjBo1Cg8PD8LDw3F1dSUwMJDp06ezY8cOUlJScHBwYNasWTg6OhZ3aERERESKjIpGSb6cP38ef39/2rVrh5ubGx9++CGzZ8/myJEjxMbGEhkZycqVKzl16hSLFy8G4MiRIwwcOJANGzbw22+/8eeff7JkyRI6dOjAkiVLMBqNLF682PxiYMCAAXz++efmPjMzM1myZAlvv/02M2bMyDWeU6dOceLECRYvXkxMTAy1atUiOjq6SGMiIiIiUtw0My/5cnOZjdFoZNKkSRw5cgR3d3f++9//0r59e2xtbQEICgpi1apVeHh4UK1aNXOV10ceeYTmzZsDUKNGDRISErCwsOCjjz4iNjaWkydPEhcXh4XF/15ftmrVCoCnnnqK5OTkXONxcnJixIgRLFu2jJMnT7J3715q1apVBJEQERERKTk0My93xcLCgrfeeoukpCS++OILjEZjnmuysrIAsLa2znXc0tIy1/dpaWkEBQWRkJBgXlrzVzY2NgAYDIY8fRw4cIB+/fphNBrx9vambdu2qP6ZiIiIlDVK5uWuWVlZ8dZbbzF37lzq16/P2rVrycjIICsrixUrVuDu7p6vduLj47GwsCA0NBR3d3e2bNlCdnZ2vu7dvXs3rq6udO/enbp167J9+/Z83ysiIiLyoNAyG7knrVu3pmnTpsTFxfHiiy8SFBREVlYWrVq14pVXXuHcuXP/2Ea9evVwcXHBx8cHW1tbmjVrxpkzZ/LVv6+vL2FhYfj5+VGuXDmcnZ1JSEgo6GOJiIiIlCoGk9YmSBmlfeZFREqfdQFvlfgqtaqkWzgUxxwWFoY7FrrUzLyUWV96hxb3EERE5C5lZGYW9xBEShQl81JmJSWlYjTqjamC0KxJ4VAcC04xLByKo0jpo2Reyqw7vWUl+efoWKm4h/BAUBwLTjEsHCU9jhmZmVxNzijuYYiUGErmHyAJCQl4eXnxxRdf0LJlS/NxT09PFixYQM2aNQvcxx9//MHrr7+e69jJkycJDQ1l4MCBdz3eXr16ERsbW+BxhYSEEBYWhpubW77v6bvhM62ZFxEpZdYGvslVlMyL3KRk/gFTrlw5Ro8ezerVq7GzK/yZ51q1ahEVFWX+/rvvvuODDz4gODi40PsSERERkTvTPvMPmIcffpgWLVowefLkW56fN28eAQEBdOzYkSlTpmAymQgNDeXHH38EYPr06fTv3x+A8+fP06FDh9v2dfLkSUaPHs306dN56KGHyM7OZuLEieb2v/zySyCniNSoUaPo1q0bXl5e9O/fn4yM3LMqR48eJSQkhKCgINq0acOCBQsAmDVrFqNGjSIkJARPT0/mzJkDwI0bNxg+fDg+Pj7079+fy5cvFyhuIiIiIqWRZuYfQOHh4fj5+bF9+/Zcy222bNnCgQMHWL58OQaDgeHDh7N69Wo8PDzYuXMnHh4e7N69m3PnzpGdnc3WrVtp3br1LfvIyMhg8ODBDBw4kGeeeQaApUuXArBy5Upu3LhBv379aNiwISaTiXLlyrFkyRKMRiO9e/fmxx9/pEGDBub2li1bxsCBA2nevDmnT5+mY8eO9OrVC4AjR46waNEirl69Stu2benZsyfLli0DYP369cTHx9OxY8f7EksRERGRkkzJ/APIzs6O999/37zc5qYdO3awf/9+AgMDgZyEvEaNGvTo0YPXXnuN1NRUAJydnTl48CBbtmzhlVdeuWUf48aN48knn6R379652j98+DA7d+4EID09nSNHjtCzZ0/s7e1ZtGgRJ06cID4+nvT09FzthYeHs3XrVj755BOOHDmS67ybmxvW1tZUrVoVe3t7rl69SlxcHN26dQPgiSeeML+gEBERESlLlMw/oF544YU8y22ys7Pp3bs3ffv2BeDKlStYWlpSsWJFjEYj3333Hc8++yzVqlVj586dHDx4kGeffTZP2ytWrGDPnj2sWLEi1/Hs7GyGDx/Oyy+/DMClS5eoUKECmzZtYubMmfTq1YvAwEAuX77M32uVvfHGG1SuXJk2bdrg6+vL2rVrzedsbGzMXxsMBkwmEwaDAaPRaD5uZaVfZRERESl7tGb+ARYeHs62bds4f/48AO7u7kRFRZGWlkZWVhaDBg0iJiYGgNatWzNnzhxcXV1xd3dn4cKFNGnSBEtLy1xtHjlyhIiICGbNmpXnA7bu7u4sXbqUzMxM0tLS6NGjB/v27WPHjh34+PgQFBREtWrV2L17N9nZ2bnu3b59O4MHD6Zt27bs3r0bIM81f9W8eXPWrFmD0Wjkzz//ZM+ePQWOl4iIiEhpo+nMB9jN5Tb9+vUDcrao/P333+natSvZ2dm0atWKgIAAAF588UXmz5/Pc889R4UKFcjMzOTFF1/M0+aXX35pnoH/K09PTwYOHMipU6cICAggKyuLwMBA3NzcsLe3Z9iwYWzYsAFra2uaNm1KQkJCrvtff/11evToQeXKlalduzaPPfZYnmv+qkePHhw7dgwfHx8ee+wxnn766QJGS0RERKT0MZj+vt5BpIzQPvMiIqXP2sA3S3yVWlXSLRyKYw4LC8MdC11qZl7KrPnt+hf3EERE5C5lZGYW9xBEShQl81JmJSWlYjTqjamC0KxJ4VAcC04xLByKo0jpo2Reyqw7vWUl+efoWKm4h/BAUBwLTjEsHCU9jhmZmVxNzvjnC0XKCCXzUiQ2bNjAvHnzyMrKwmQy4e/vb640ezdmzJhBw4YN8fLyKvCY+m6Yz/l0zUCJiJQmawMHcxUl8yI3KZmX+y4xMZHJkycTGRmJg4MDaWlphISEULt27btOyocMGXKfRikiIiJS+iiZl/vu8uXLZGZmkpGRM5NSsWJFJk2ahI2NDZ6ennh6evLzzz8D8MEHH1C/fn3i4uKYPn06GRkZpKSkMHz4cHx8fAgPD8fV1RVXV1fCwsJ46qmnOHz4MFWrVmXGjBnY29sX45OKiIiIFC0VjZL7rl69enh5edG2bVs6d+5MREQERqMRJycnAOzt7Vm1ahWDBw9mxIgRAHz99deMHz+elStXMmHCBD7++OM87f7+++/07duXNWvWULlyZaKjo4v0uURERESKm5J5KRLjxo0jNjaW7t27c+bMGbp27cp3330HQNeuXYGcwlOJiYlcunSJiIgIjh07xkcffcT8+fNJS0vL02bVqlWpX78+AE899RQpKSlF90AiIiIiJYCSebnvNm/ezLp166hevTpBQUFMnz6dUaNGsXz5cgCsrP632stoNGJpaUmPHj3Yv38/DRs2JDQ09Jbt2tjYmL82GAyo/pmIiIiUNUrm5b6ztbVl2rRpJCQkAGAymTh+/DguLi4ArF27FoDvv/+eOnXqYDKZiI+PZ8iQIXh4eLB9+3ays7OLbfwiIiIiJZU+ACv3nbu7O2FhYYSGhpL5/yv3tWrVikGDBhEdHc2ePXtYvnw55cuXZ9KkSdjb29OlSxfat2+PnZ0dTZs2JSMjg/T09GJ+EhEREZGSxWDS2gQpRp6enixYsICaNWsW91BERKQUKA1Fo1RJt3AojjksLAx3LHSpmXkps5KSUjEa9Vq2IPSHtnAojgWnGBYOxVGk9FEyL8UqNja2uIcgIiIiUmopmZcy605vWUn+OTpWKu4hPBAUx4JTDAtHSY9jaVhmI1KUlMzLPTl69Ch+fn7MnDkTb2/vIut3xowZNGzYEC8vrwK31XfDQs6n6+1kEZHSZG3gQK6iZF7kJm1NKfckMjISb29vFi9eXKT9DhkypFASeREREZEHgWbm5a5lZWWxevVqFi1aRHBwMH/88Qe1atXC09OTxo0bc/jwYSIiIhg9ejSPP/44R48epWHDhri6urJy5UpSUlL46KOPqFOnDvv372fixIlkZGTg4ODAuHHjePzxxwkJCaFRo0b88ssvXLp0iVGjRuHh4UF4eDiurq4EBgYyffp0duzYQUpKCg4ODsyaNQtHR8fiDo+IiIhIkdHMvNy1zZs3U6NGDWrXrk3btm1zzc63bt2amJgYHnroIY4cOcLAgQPZsGEDv/32G3/++SdLliyhQ4cOLFmyhBs3bjBq1CimTZvGypUr6du3L6NHjza3lZmZyZIlS3j77beZMWNGrjGcOnWKEydOsHjxYmJiYqhVqxbR0dFFFgMRERGRkkAz83LXIiMj6dChAwC+vr4MGzaMN954A4AmTZqYr6tWrRr169cH4JFHHqF58+YA1KhRg4SEBOLj4zl9+jSvvfaa+Z7U1FTz161atQLgqaeeIjk5OdcYnJycGDFiBMuWLePkyZPs3buXWrVqFfqzioiIiJRkSublriQlJbFlyxYOHDjAggULMJlMXLlyhe+++w4AGxsb87XW1ta57rW0tMz1vdFopGbNmkRFRQGQnZ3NxYsXzedvtmUwGPKM48CBAwwdOpQ+ffrg7e2NhYUFqn8mIiIiZY2W2chdWb16Ne7u7mzZsoXY2Fh++OEHQkNDWbJkyV239eSTT5KSksLPP/8MwIoVKxg2bFi+7t29ezeurq50796dunXrsn37drKzs+96DCIiIiKlmWbm5a5ERkbyn//8J9exHj168Nlnn2Fnd3f7tltbWzNjxgwmTJjA9evXsbOzY/Lkyfm619fXl7CwMPz8/ChXrhzOzs4kJCTcVf8iIiIipZ3BpLUJIiIiUkqUhqJRjo6VuHBBdUwKSnHMYWFhuGOhS83MS5mVlJSK0ajXsgWhP7SFQ3EsOMWwcCiOIqWP1syLiIiIiJRSD8TM/Lhx49izZw+ZmZn88ccf1KlTB4BevXoRFBSU5/oZM2bQsGHDIqkkumDBAh577DGcnZ1p166deWxGo5G0tDQ6derE4MGDC7VPT09PFixYQM2aNXMdv1lwqWXLlowaNYpPP/20QP0sXbqUOXPm0K5dO0aMGJHr3KpVq1i4cCFZWVkYjUa6dOlCr1697ji+kSNHEhwcTKNGje5qHEajkddff50pU6ZQsWLFfN93p7esJP8cHSsV9xAeCIpjwSmGhaOkx7E0LLMRKUoPRDL/7rvvApCQkECvXr3MWx3ezpAhQ4piWFy8eJHY2Fi+/PJLEhISePjhh3ONLTExEW9vb9q3b29O8otC9erVC5zIA6xZs4b333+fF154IdfxJUuWsHjxYj755BMefvhhrly5wquvvkr58uXp0qXLbdubMGHCPY3DwsKCrl278tFHH/HWW2/l+76+6xdxPj31ny8UEZESY23Qv7mKknmRmx7oZTZxcXF0796dgIAAPD09Wb9+PZAzQx0ZGUloaCg//vgjANOnT6d///4AnD9/3lwUafr06XTt2hVvb2+Cg4O5cOECAC+88ALvv/8+nTp1IigoiNOnT+fpf9GiRXh7e992fBcuXMBkMplnk+fNm0dAQAAdO3ZkypQpmEwmEhIS8PPzY+DAgbRv354BAwaYCyg5Ozub24qMjCQ8PNz8/ezZs+nUqRPdunXj999/z9VvQkICnp6eAPz555/06tWLDh060Llz5zzXQs6WkR06dMDPz4/w8HDS0tKYPXs2v/32G+PGjTPH8KY5c+YQHh7Oww8/DEDlypWZPHkyTz/9tPmajz76iE6dOuHt7c2+ffsACAkJYdeuXezatYtXX32VgQMH4u3tzeDBg7lx48Y//jy+//77XEWnRERERB50D3Qy//XXXzN+/HhWrlzJhAkT+Pjjj3Od9/DwYOfOnUDOvuUnTpwgOzubrVu30rp1a06dOsWJEydYvHgxMTEx1KpVi+joaCAnEW/evDmrVq2iWbNmLFq0KE//sbGxNGvWzPz9+fPn8ff3p127dri5ufHhhx8ye/ZsHnnkEXMhpuXLl7Nq1SoSExNZvXo1AEePHqV3796sXbuWOnXqMHv27H98dicnJ1atWsXAgQNzJfl/N27cOLy9vVmzZg2vv/46c+bMyXX+yJEjzJ07l4ULFxIdHU358uWZPXs2YWFhNGzYkPHjx+Ph4WG+/tKlS5w9ezZXJViAOnXq5DpWt25dVq1aRUhICJ9//nmecf3666+MGTOG9evXc+bMGbZt23bHn4elpSXOzs7mn6eIiIhIWfBAJ/MREREcO3aMjz76iPnz55OWlpbr/IsvvsiOHTvMs7nOzs4cPHiQLVu20KZNG5ycnBgxYgTLli1j0qRJ7N27l/T0dPP9rVq1AuCpp54iJSUlT/+nTp3ikUceMX9/c5nNunXr8Pf3JzMzE3d3dwB27NjB/v37CQwMJCAggAMHDnD8+HEAnnjiCdzc3ADo1KlTvhLWm8tZPDw8OHPmDFeuXLnldbt378bf39987YwZM/Kcb9OmDQ4ODgB069btjv1bWOT8Sv3Tjqdt27YFcpL6y5cv5zn/1FNP8cgjj2BhYUGdOnVISUn5x59HjRo1OHXq1B37FREREXmQPNDJfI8ePdi/fz8NGzYkNDQ0z/lHH30Uo9HId999x7PPPoubmxs7d+7k4MGDPPvssxw4cIB+/fphNBrx9vambdu2uZJUGxsbAAwGwy2TV4PBgKWlZZ7jFhYWvPXWWyQlJfHFF18AkJ2dTe/evYmKiiIqKoply5aZx2xl9b+PNphMplxt3uw3KysrVx9/77dcuXK3jNHf2775AuImo9GY63uTyZSnr7+yt7fn8ccf58CBA7mOx8XFMXXq1DzjMxgMt2znZmxvXmMymf7x52FlZWV+MSEiIiJSFjywmU9ycjLx8fEMGTIEDw8Ptm/fTnZ2dp7rWrduzZw5c3B1dcXd3Z2FCxfSpEkTLC0t2b17N66urnTv3p26deveto3bqVWrFmfOnLnlOSsrK9566y3mzp3LhQsXcHd3JyoqirS0NLKyshg0aBAxMTEAnDx5ksOHDwM569dbt24NgIODA8eOHcNkMhEbG5ur/ZvLT77//nuefPJJypcvf8txPP/886xduxaAn376idGjR+c67+rqSmxsrHmd/tKlS83vEtxOv379mDRpknk9+6VLl5g0aRJOTk53vO+f/NPPIyEhgVq1ahWoDxEREZHS5IHYzeZW7O3t6dKlC+3bt8fOzo6mTZuSkZGRa1kG5Cy1mT9/Ps899xwVKlQgMzOTF198EQBfX1/CwsLw8/OjXLlyODs7k5CQkO8xtGnThp07d952p5rWrVvTtGlTPvzwQyZMmMDvv/9O165dyc7OplWrVgQEBPDnn39SpUoVZs6cyR9//IGzszPjx48HYOjQoYSGhlKtWjWee+65XMtV4uPj8ff3p2LFikyaNOm2YxwzZgyjRo3im2++oXz58ua2b6pXrx7//ve/CQkJITMzkwYNGjBu3Lg7Pnf37t3JzMzk1VdfNc+qd+vW7Y472eTHnX4e2dnZHDp0iMmTJxeoDxEREZHSxGD6p8XNcs8uXLjAG2+8ccsPx+bXze02/z7zLrlt3LiRX375Jc9+93eirSlFREqftUH/LvFValVJt3AojjksLAx3rI3zwM7MlwSOjo689NJLbNy40fyBTyl8RqOR5cuX51qTnx/zfXrepxGJiMj9kpGZWdxDEClRNDMvZVZSUipGo379C0KzJoVDcSw4xbBwKI6FQ3EsHIpjDs3Mi9zGnf5hSP6V9NLvpYXiWHCKYeEo6XHMyMzkarIqwIrcpGS+hElNTWXatGns3r0bS0tLKleuTHh4OA0aNGDXrl3Mnj2bhQsX3rGNTZs2ceDAAYYMGXLL8/v37ycmJobhw4ffj0fIJTIykri4uNt+CDe/z5Qfnp6eLFiwgJo1a+br+r7rl2jNvIhIKbM2qB9XUTIvcpOS+RLEaDQyYMAA3NzcWLVqFVZWVuzcuZMBAwaYt4/MDy8vL7y8vG57/vjx4yQlJRXGkEVERESkGCmZL0F27drF+fPnGTx4sLn4kbu7OxMnTjQXb7p06RIDBgzgjz/+oHbt2sycOZPz58/Tv39/HBwcsLGxoWPHjubZ8MmTJ7N9+3YsLS3x8vKiV69ezJw5k/T0dObMmUP16tXZvHkz58+f59y5c/Tu3ZszZ86wc+dO7O3t+eyzz7CxsWH69Ons2LGDlJQUHBwcmDVrFvb29rzzzjscO3YMyCnS1bVr19s+X3R0NJ999hmWlpbUrFmTiIiIXOfj4uKYPn06GRkZpKSkMHz4cHx8fAgPD8fOzo6DBw+SmJjIoEGDCAoKIjk5meHDh3Pu3Dnq1KnD9evX79NPRkRERKRkemCLRpVGhw4dolGjRnmqmHp4eFC1alUAzpw5w5gxY1i/fj0XL17kp59+AnIKS0VERPDll1+a7/vzzz/ZsmULq1evZvHixcTHx2NjY8PgwYPx9PTktddeA+C3337js88+Y9GiRUyaNInWrVubi05t3bqVU6dOceLECRYvXkxMTAy1atUiOjqaX3/9lZSUFFatWsX8+fPZs2fPHZ/vww8/5IsvviAyMpLatWtz4sSJXOe//vprxo8fz8qVK5kwYQIff/yx+dy5c+f45ptvmDNnDlOmTAFg5syZ1K9fn+joaHr27MnFixfvIeoiIiIipZdm5ksQCwsL/mlzoXr16vH4448DUKdOHXOhqKpVq+ZZK169enVsbGwIDg6mTZs2vPHGG9jY2ORp89lnn8XOzg47u5wPhDZv3hyAxx57jCtXruDk5MSIESNYtmwZJ0+eZO/evdSqVYunnnqKkydP0q9fP1q3bs2wYcPuOPY2bdrQvXt3vLy88Pb2xsXFhV27dpnPR0RE8MMPP7Bhwwb27dtHWlqa+VzLli0xGAw8/fTT5mq0cXFxTJs2DYBmzZqZ4yIiIiJSVmhmvgRp2LAhhw4dypPQ//e//2Xnzp0AWFn97/XXzeqqALa2tnnas7KyYtmyZQwZMoTk5GSCg4M5efJknuvKlSuX576/OnDgAP369cNoNOLt7U3btm0xmUw4ODiwdu1aXnnlFU6ePElAQABXrly57fONGjWKmTNnYm9vz/Dhw4mKisp1vkePHuzfv5+GDRsSGhqa69zNFyEGg+GWzw9gaWl5275FREREHkRK5kuQ559/nqpVqzJ79myys7OBnGUukZGR1K1b967bO3ToEK+88grNmjVjxIgR1KlTh5MnT2JpaUlWVla+29m9ezeurq50796dunXrsn37drKzs9m0aRPDhg3jxRdfZNSoUVSoUIGzZ8/eso2srCxefvllHBwc+Pe//42/vz+HDx82n09OTiY+Pp4hQ4bg4eFh7uNOmjdvbn5BsH//fv744498P5OIiIjIg0DLbEoQg8HAxx9/zMSJE+nQoQNWVlY4ODgwb948qlWrxv/93//dVXv169enadOmdOjQgfLly+Pi4kLr1q05ffo0s2fPZurUqTz55JP/2I6vry9hYWH4+flRrlw5nJ2dSUhIYNCgQcTExNC+fXtsbGx4+eWXcXZ2vmUbVlZWDB48mL59+2Jra0vlypWZPHky8fHxANjb29OlSxfat2+PnZ0dTZs2JSMjg/T09NuOa/DgwYSHh9O+fXuefPJJLbMRERGRMkcVYKXM0j7zIiKlz9qgfiW+KqgqlxYOxTGHKsCK3MZ8n27FPQQREblLGZmZxT0EkRJFybyUWUlJqRiNemOqIDRrUjgUx4JTDAuH4ihS+iiZlzLrTm9ZSf45OlYq7iE8EBTHglMMC0dJj2NGZiZXkzOKexgiJYaSebmt1NRUpk2bxu7du7G0tKRy5cqEh4fToEGDW16fkJBAr169iI2NLVC/u3btYvbs2SxcuDDPOX9//zxbWt6rV9cv15p5EZFSZk1QH66iZF7kJiXzcktGo5EBAwbg5ubGqlWrsLKyYufOnQwYMIC1a9fi4OBQLOMqrEReRERE5EGgZF5uadeuXZw/f57BgwdjYZFTjsDd3Z2JEydiNBqZO3cuq1evxtLSkpYtWzJ8+PBc91+8eJGRI0dy5swZrKys+M9//kPr1q2ZNWsWZ86c4ciRIyQlJfHGG2+wc+dO9u3bR7169Zg+fToAly9fpl+/fpw/f57GjRvz7rvvYm1tjbOzM0eOHCExMZF33nmHq1evcuHCBdq3b/+PFWhFREREHjQqGiW3dOjQIRo1amRO5G/y8PDgwIEDxMbGEhkZycqVKzl16hSLFy/Odd3777+Pu7s70dHRzJw5k3feeYeLFy8CcPToUZYuXUpERATvvPMOAwYMYM2aNRw6dIgjR44AOUt2Ro8ezerVq0lLS+Pbb7/N1f6aNWvo0KEDS5cuZfXq1XzzzTdcunTpPkZEREREpOTJVzKvJKnssbCw4HYlCHbu3En79u2xtbXFysqKoKAgduzYkeeazp07A/D444/TpEkT9u3bB0DLli2xsrKiRo0aODo6UrduXaysrKhevTopKSlATjXcJ554AoPBgJ+fH3Fxcbna79evH48++iiff/45EyZMIDMzk2vXrhV2GERERERKtHwl8x06dGDo0KH8/PPP93s8UkI0bNiQQ4cO5Uno//vf/+ZJ3AGysrJyff/3+0wmE9nZ2QCUK1fOfNzK6tYrvf563GQy5blu0qRJLFy4kBo1avDaa6/h4OBw2xcfIiIiIg+qfCXzsbGxtGjRgilTpuDn58eiRYtITdUuIA+y559/nqpVqzJ79mxzEr5161YiIyPp3bs3a9euJSMjg6ysLFasWIG7u3uu+93d3Vm+fDkAp0+fZs+ePTRt2jTf/f/yyy+cOXMGo9HIqlWraNGiRa7z27dvp1+/fvj4+HD27FkSExMxGo0Fe2gRERGRUiZfH4C1tbUlKCiIoKAgdu3axTvvvMPUqVPp1KkTYWFhVK1a9X6PU4qYwWDg448/ZuLEiXTo0AErKyscHByYN28e9evX5+zZswQFBZGVlUWrVq145ZVXOHfunPn+kSNHMmbMGCIjIwEYP348Dz/8cL77r1u3Lu+88w4XLlzA3d3dvGTnpn//+9+89dZbVK5cmapVq9KwYUMSEhKoVatW4QRAREREpBQwmPK5NmHLli0sW7aMX375BT8/PwIDA/nxxx/ZuHEjS5cuvd/jFCl02mdeRKT0WRPUp8RXqVUl3cKhOOawsDDcsdBlvpL5F198EQcHB3r06IGfnx+2trbmc15eXmzatKlwRisiIiJyB6WhAqyS0MKhOOb4p2Q+X8tsgoODCQ0NveU5JfJSWiUlpWI06kOzBaE/tIVDcSw4xbBwKI4ipU++Zubbt2/P2rVri2I8IiIiIrelmfmyQ3HMUSgz808//TRz5szh+eefp0KFCubjDRo0KPgI5YExbtw49uzZQ2ZmJn/88Qd16tQBoFevXgQFBf3j/TeruxaVV9et4Hx6WpH1JyIiBbemcy+uUrKTeZGilK9kft++fezbt49ly5aZjxkMBi2xkVzeffddIKd6a69evYiKiirmEYmIiIg82PK1z/w333xDbGxsrv/mzp17v8cmDwhPT08SEhIA2LVrFyEhIQCEhIQQFhaGt7c3hw8fNl+/Z88evL29OXXqFGlpaYwYMYLAwED8/f1Zs2YNAD169GDbtm1ATlGpl19+mcTExCJ+MhEREZHidcdkPjk5meTkZP71r3+RkpJCcnIyKSkpXLx4kUGDBhXVGOUB5uzsTExMDC4uLgAcPnyYkSNHMmfOHJycnJgzZw4NGjQgMjKSRYsWMXfuXE6fPk1QUBCrV68G4Oeff6ZWrVpUr169OB9FREREpMjdcZnN0KFD2b59OwBubm7m45aWlrz00kv3d2RSJjRu3DjX9/3796ddu3Y8+eSTAPz0009kZGSwYsUKANLT0zl27Bg+Pj5Mnz6da9eusXLlSgIDA4t87CIiIiLF7Y7J/Oeffw7A22+/zcSJE4tkQPJgurlpUlZWVq7jf61ZADB16lTeeustunTpQr169TAajURERJg/bH3x4kWqVKlCuXLlaN26NRs2bGDnzp2MHTu2SJ5DREREpCTJ15r5iRMn8ueff3Lo0CEOHjxo/k8kPxwcHDh+/Djwz3UJmjdvztChQxk1ahRGoxF3d3e+/fZbAM6fP0/Hjh05e/YsAEFBQUyfPp1WrVphbW19fx9CREREpATK1242U6dOZeHChVStWtV8TLvZSH4NHjyY999/n9mzZ/PCCy/84/WdOnVixYoVLFy4kLCwMMaOHUuHDh3Izs5m+PDh1KpVC4DnnnsOg8GQr20vRURERB5E+Soa5enpybfffqsPGEqJYTKZOHr0KCNGjGDVqlXFPRwRESkiKhpVdiiOOQqlaNSjjz6qRF5KlK+++orPPvuMGTNm3HMbSUmpGI3/+FpW7kB/aAuH4lhwimHhUBxFSp98JfPNmzdnypQpeHl55frAoirASnHp06cPffr0Ke5hiIiIiBSrfC+zyXOj1syLiIhIEdMym7JDccxRKMtsYmNjC21A8uBJSEigXbt21KlTJ9fxrl270rNnzzzXx8bGcurUKfr27XvXff32228sXryYCRMm3PN4b3p13SrOp6cVuB0RESk6azr35ColO5kXKUr5Subnz59/y+P3kozJg+nhhx8mKioqX9cWZFvTRo0a0ahRo3u+X0RERORBkq9k/ujRo+avb9y4wS+//JKrIqzIrWRmZvLOO+9w7NgxAHr06MGzzz7L4sWLAahRowa+vr6MGjWKI0eOYDAY6NevH506dSIyMpKtW7eSkpLC6dOnadmyJWPHjmXXrl3Mnj2bhQsXEhcXx/Tp08nIyCAlJYXhw4fj4+NTnI8sIiIiUqTylcz/vfrrpUuXeOutt+7LgKR0On/+PP7+/rmOjRw5kpSUFFatWsXly5eZPHkyXbt2JTg4GMgp+jRlyhQcHBxYs2YNly5dMld+Bfj1119Zs2YNlpaWtGvXju7du+dq/+uvv2b8+PHUqVOHHTt28MEHHyiZFxERkTIlX8n83z300EP8+eefhT0WKcVutczm8uXLnDx5kn79+tG6dWuGDRuW576dO3fywQcfADm/V15eXsTFxWFnZ8czzzyDnV3OBz4ef/xxUlJSct0bERHBDz/8wIYNG9i3bx9paVr/LiIiImXLXa+ZN5lMHDhwIFc1WJFbcXBwYO3atWzfvp0ff/yRgIAA1q5dm+uav2+mZDKZyM7OBsDGxsZ83GAw5Lm2R48euLm54ebmRvPmzW/5YkFERETkQWaRn4uOHj1q/u/YsWM8+uijTJ069X6PTUq5TZs2MWzYMF588UVGjRpFhQoVOHv2LJaWlmRlZQHg7u7O8uXLgZzlW5s2bcLV1fUf205OTiY+Pp4hQ4bg4eHB9u3bzS8CRERERMqKu1oz/+eff5KVlYWTk9N9HZSUPrdaM9+0aVNsbW1p3749NjY2vPzyyzg7O3PlyhVGjBhBtWrVGDRoEGPHjsXPz4/s7GxCQ0Np0KABR44cuWN/9vb2dOnShfbt22NnZ0fTpk3JyMggPT2dChUq3M9HFRERESkx8lU06tSpUwwcOJDz589jNBpxcHDgk08+ybOvuIiIiMj9pKJRZYfimOOfikblK5nv168fHTp0ICAgAIAVK1YQFRXFggULCm+kIkUsKSkVo/Eff/3lDvSHtnAojgWnGBYOxbFwKI6FQ3HM8U/JfL7WzCclJZkTecjZUvDy5csFH52IiIiIiNyzfK2Zz87OJjk5GXt7eyDng4oipd2dXuVK/jk6ViruITwQFMeCUwwLR0mPY0ZmFleTrxX3MERKjHwl86+88grdunUzF+RZv349vXv3vq8Dk5IpISGBdu3a5fm8RNeuXenZs2eh9xceHo6rqyuBgYGF3var66I5n6696UVESpM1nYPRwguR/8lXMu/h4cEXX3xBZmYmp0+fJjExkZdeeul+j01KqFsViBIRERGRopevZD48PJyePXvSq1cvrl+/zrfffss777zDp59+er/HJ6VIdHQ0c+bMwWAw0KhRI95//33mzp0LwOuvvw6Ap6cnCxYswN7ennfeeYfExETOnz/P888/z5QpUwCYNGkSmzdv5uGHHyY7O9u87/yKFSuYP38+BoOBBg0aMHr0aCpWrIi7uzsNGjTg4sWLLF++nHLlyhVPAERERESKWL6S+cuXL9OrVy8gpypnnz59WLVq1f0cl5Rgt9pTfuTIkUycOJHIyEgeeeQRhg8fzo8//njbNjZv3oyLiwszZ87kxo0btG/fnoMHD5KQkMChQ4dYs2YNV69epWPHjgAcOXKEuXPnsnTpUhwcHBg3bhyzZ89mxIgRXL58mX/961+4ubnd1+cWERERKWny/QHYxMREqlevDsDFixfJx46W8oC61TKbDRs28Oyzz/LII48AEBERAcDhw4dv2UaHDh3Yv38/X375JSdOnCA5OZn09HTi4uJ4+eWXKVeuHA899BCtW7cGYPfu3bRp0wYHBwcAunXrxttvv21ur0mTJoX+nCIiIiIlXb6S+T59+tCpUydatWqFwWDgp59+4q233rrfY5NSxMoq96/SzR2PDAYDRqPRfDwzMxOAhQsXEhMTQ9euXWnRogVHjx7FZDLluf5mu389BmAymcjKyjJ/b2trW7gPJCIiIlIK5Guf+c6dOzN//nzq169Pw4YN+fzzz/Hz87vfY5NSpFGjRuzbt48LFy4A8MEHH7Bp0yYcHBw4fvw4APv37zef3759O926daNjx44YDAZ+//13jEYjzZs3Z8OGDdy4cYOUlBS2bt0KgKurK7GxsSQnJwOwdOlSLasRERGRMi9fM/MA9erVo169evdzLFJK3GrNfLNmzRg5ciT9+vXDaDTStGlTAgMDuXLlCjExMfj6+tKgQQPq168PQO/evRk7dixffPEFFStW5JlnniEhIYEuXbrw22+/0aFDB6pVq2beArNevXr8+9//JiQkhMzMTBo0aMC4ceOK/NlFREREShKDSYvfRUREpJQoDUWjHB0rceGCdsMvKMUxh4WF4Y6FLvM9My/yoElKSsVo1GvZgtAf2sKhOBacYlg4FEeR0kfJvJRZd3qVK/lX0ku/lxaKY8EphoWjpMexNMzMixQlJfMPuF27djF79mwWLlxYJvu/k1fXreV8enpxD0NERO7Cms5d0HsHIv+Tr91sRERERESk5FEyXwbt2rWLkJAQ8/fh4eFERkayadMmXn75Za5fv86pU6do3bo1586d4+LFiwwcOJDAwECCgoL46aefAJg1axZvv/02gYGBeHh4sHLlSkaMGEG7du144403zIXFLl++TL9+/fDz82PkyJHcuHEDgB9++AF/f3/8/PwYOHAgFy9eBMDT05OEhIQ8Yw0JCSEsLAxvb28OHz7MunXraNeuHQEBAYwcOZLw8PAii6GIiIhISaBlNmLm5eXFd999x5w5c4iLi2PEiBE88sgj/Oc//yEoKAgvLy/Onz9Pjx49WLVqFQBHjx5l6dKl7Nmzh969exMdHc0TTzyBr68vR44cASAhIYHZs2fj5OTEf/7zH7799ls6dOjAmDFj+Pbbb6lZsyafffYZ7733HjNnzrzjGJ2dnZk9ezaXLl1iwIABrFixAkdHRwYPHoydndbAi4iISNmiZF5yGTlyJL6+vjz77LO0b98egJ9++okTJ06YE+2srCxOnz4NQMuWLbGysqJGjRo4OjpSt25dAKpXr05KSgoAzz//PE888QQAfn5+REZGUqtWLRo3bkzNmjUB6NatG/PmzfvH8TVu3BiAn3/+mWeeeYbq1asD0KlTJzZu3FhIURAREREpHZTMl0EGg4G/lhfIzMw0f33x4kUsLS05efIkN27cwNraGqPRyFdffYW9vT0AiYmJVKtWjY0bN1KuXDnzvVZWt/51+utxk8mElZUVRqMx1zUmk4msrKxc3wO5jgHY2toCYGFhkacNERERkbJGa+bLIAcHB06fPs3169dJTk7ml19+ASA7O5u3336bkSNH0qxZMz788EMA3N3d+eabbwA4fvw4HTt25Nq1/G8L9ssvv3DmzBmMRiOrVq2iRYsWNGnShH379pnXxi9ZsgQ3Nzfz+I4fPw7Apk2bbtnms88+y2+//cb58+cxmUysW7cOg8FwT/EQERERKa00M18G3FyScpOfnx8eHh60b9+exx57jOeeew6AL774gqpVq/Lyyy/TokULOnTowMsvv8yoUaMYM2YMfn5+AEyZMuWu1qfXrVuXd955hwsXLuDu7k7nzp2xtLTkvffeIywsjMzMTGrUqMGECRMAGDx4MO+//z6zZ8/mhRdeuGWbDz30EKNGjeLVV1/F2tqamjVrUrly5XsNkYiIiEipZDD9db2FSClx+fJlFi5cSFhYGBYWFowfPx4nJ6dcu/T8E+0zLyJS+qzp3KXEV6lVJd3CoTjmsLAw3LHQpWbmpVSyt7fnypUrdOjQAUtLSxo0aEDXrl3vqo0vfNvfp9GJiMj9kpGZ9c8XiZQhmpmXMispKRWjUb/+BaFZk8KhOBacYlg4FMfCoTgWDsUxh2bmRW7jTv8wJP8cHSsV9xAeCIpjwSmGBXcjO7u4hyAid0nJvBSahIQE2rVrR506dTAYDGRmZvLwww8zceJEHnnkkVvec7Oq682dbO5VZGQkcXFxTJo0Kd/39Fu3QWvmRUT+IrpzYHEPQUTukramlEL18MMPExUVxapVq1i7di0NGzbk/fffL+5hiYiIiDyQNDMv99Xzzz9PbGwse/fuZcKECVy/fh0HBwfee+89nJyczNdlZWUxduxYjh07xsWLF6lduzazZ8/m4sWLhIWF8dRTT3H48GGqVq3KjBkzsLe3Z9WqVcyZMwc7Ozsee+wxKlSoUIxPKiIiIlL0NDMv901mZibr16+ncePGvPnmm4wePZrVq1cTHBzMm2++mevaX3/9lXLlyrFkyRK+//57rl+/zo8//gjA77//Tt++fVmzZg2VK1cmOjqaxMREpk6dyqJFi1iyZAlpaWnF8YgiIiIixUoz81Kozp8/j7+/PwA3btygcePGBAUFcfjwYRo3bgyAj48PY8aM4erV/31CvVmzZtjb27No0SJOnDhBfHw86f9/PXvVqlWpX78+AE899RQpKSn8+uuvPPPMM1SrVg3IKYS1c+fOonxUERERkWKnZF4K1c0183/1+++/57nOZDKR/ZddEzZt2sTMmTPp1asXgYGBXL58mZu7ptrY2JivMxgMmEwmDAYDRqPRfNzKSr/KIiIiUvZomY3cd08++STJycns378fgHXr1lGjRg3s7e3N1+zYsQMfHx+CgoKoVq0au3fvzpXs/91zzz3Hvn37SExMxGg0sm7duvv9GCIiIiIljqYz5b6ztrZm+vTpvP/++1y7do0qVaowffr0XNd06dKFYcOGsWHDBqytrWnatCkJCQm3bbNatWqMGjWKPn36UL58eerWrXu/H0NERESkxFEFWCmztM+8iEhu0Z0DVXGzEKhyaeFQHHOoAqzIbXzu2664hyAiUqKoAqxI6aNkXsqspKRUjEa9MVUQmjUpHIpjwSmGhcPRsVJxD0FE7pKSeSmz7vSWleSf/udfOBTHglMMC04z8yKlj5L5u5SQkECvXr2IjY3NddzZ2ZkjR47c9r7ffvuNxYsXM2HCBJYsWULFihXp0KFDvvv19PRkwYIF1KxZM9fxrKwsXnzxRby9vRk9evTdPQwQEhJCWFgYbm5ut70mMjKSSZMm8eijj+Y6/t5779GkSZN89ePv759ny8o7iY2N5dSpU/Tt2zff99ytfuu+43z6tfvWvohIaRPd2b+4hyAid0nJfBFp1KgRjRo1AnKqnbq6uhZKu1u2bKFRo0asX7+eYcOGUb58+UJp9+88PT2ZNGnSPd9/N4k8wMGDB++5LxEREZGyQsl8IYuMjGTr1q2kpKRw+vRpWrZsydixY9m1axezZ8/mtddeIzY2lp07d+Lo6IiLiwtjxozh3LlzGAwGhg4dSosWLUhOTmb48OGcO3eOOnXqcP369dv299JLL2EymVi7di2dO3cGIDw8nOTkZE6dOsXw4cO5fv068+fPJyMjg+vXrzN+/HiaNWsGwNKlS5k0aRImk4m33377jrP0f7dr1y7mzp2LyWTijz/+wNvbm0qVKrFx40YA5s2bR7Vq1czvXMyaNYu9e/dy9uxZevbsyVNPPcX06dPJyMggJSWF4cOH89RTT7F48WIAatSoQbt27Xjvvfc4duwY2dnZDBgwgA4dOvD7778zZswYsrKysLGxYeLEiTzxxBMF+OmJiIiIlC5K5u+DX3/9lTVr1mBpaUm7du3o3r27+VyLFi3w9PTE1dWVVq1a8Z///IegoCC8vLw4f/48PXr0YNWqVcycOZP69evz6aefsnv3btavX5+nn0uXLrF9+3YmTJiApaUlCxcuNCfzAPb29sydOxej0Ujfvn2ZO3cuDz30EMuXL+fzzz83J/MVKlRg5cqV/P777/z73//m+++/x9raOldfsbGx+Pv/7+1Xa2trli1bBsC+fftYu3Yt9vb2tGjRghEjRhAZGcnbb7/N2rVr6d27d662bty4YS7yNHjwYMaPH0+dOnXYsWMHH3zwAdHR0QQHBwMQFBTE1KlTadCgAZMnTyY1NZXg4GCaNGnCV199Rd++ffHx8WHdunXs3btXybyIiIiUKUrm75KFRd6iuSaTCYPBYP7+mWeewc4u58OVjz/+OCkpKbdt76effuLEiRPMnDkTyFkDf/r0aeLi4pg2bRoAzZo14/HHH89z7+rVq3F3d6dKlSp4eXkxevRoDh06RP369QFo3LixecwfffQRsbGxnDx5kri4uFzPcfMFQL169XjooYc4ceIE9erVy9XXnZbZPP300+b19A4ODjRv3hzImVW/cuVKnutvjgsgIiKCH374gQ0bNrBv3z7S0tJuGaOMjAxWrFgBQHp6OseOHcPDw4P33nuPrVu30qZNG7y9vW85PhEREZEHlZL5u1S5cmWuXs29/VlSUhJVqlQxf29jY2P+2mAwcKe6XEajka+++gp7e3sAEhMTqVatWp77LC0t89wbGRnJ+fPn8fT0BHKS9sWLF/Pee+8BYGtrC0BaWhpBQUH4+/vTrFkznJ2dWbRo0S3bNplMWFnd3a9FuXLlcn1/q7H+1c1xAfTo0QM3Nzfc3Nxo3rw5w4YNy3O90WgkIiKCBg0aAHDx4kWqVKlCuXLleOaZZ/jhhx/46quv+PHHHxk/fvxdjV1ERESkNMs7zSx3ZGdnh5OTEzExMeZjS5YsMc9G54elpSXZ/3/7L3d3d7755hsAjh8/TseOHbl27RrNmzc3f2h0//79/PHHH7naOHjwIOfOnWPz5s3ExsYSGxvLJ598QnR0NKmpqbmujY+Px8LCgtDQUNzd3dmyZYu5f4Do6GggZ8ed1NRUnJyc7iIi9y45OZn4+HiGDBmCh4cH27dvN4/L0tKSrKwsICdG3377LQDnz5+nY8eOnD17ljfeeIP9+/cTHBzMkCFDOHToUJGMW0RERKSk0Mz8PYiIiGDs2LF89NFHZGZm4uzszJgxY/J9f4sWLfjvf/9LpUqVGDVqFGPGjMHPzw+AKVOmYGdnx+DBgwkPD6d9+/Y8+eSTeZbZREZGEhgYmGuW283Njdq1a5uT85vq1auHi4sLPj4+2Nra0qxZM86cOWM+n56eTqdOnbCwsGDatGl5Ztoh75p5gL59++bZrvJu2Nvb06VLF9q3b4+dnR1NmzYlIyOD9PR0mjVrxogRI6hWrRphYWGMHTuWDh06kJ2dzfDhw6lVqxahoaGMHDmSjz/+GEtLS8LDw+95LCIiIiKlkcF0pzUgIg8w7TMvIpJbdGd/VdItBKpIXDgUxxwWFoY7FrrUzLyUWZ/7vlzcQxARKVFUAVak9FEyL2VWUlIqRqPemCoIzZoUDsWx4BTDwuHoWKm4hyAid0nJvJRZd3rLSvJP//MvHIpjwSmGBaeZeZHSR8m83BcbNmxg3rx5ZGVlYTKZ8Pf3p3///vm+/2bF2L8bOXIkwcHBNGrUqMBj7L9uk9bMi4j8xerOHYp7CCJyl5TMS6FLTExk8uTJREZG4uDgQFpaGiEhIdSuXRsvL68CtT1hwoRCGqWIiIhI6adkXgrd5cuXyczMJCMjA4CKFSsyadIkbGxs2L9/PxMnTiQjIwMHBwfGjRvH448/TkhICFWqVOHYsWN8+OGHAIwePZr9+/fj4ODABx98QI0aNQgJCSEsLIznnnuOsWPHcuzYMS5evEjt2rWZPXt2rq06RURERB50Kholha5evXp4eXnRtm1bOnfuTEREBEajkUcffZRRo0Yxbdo0Vq5cSd++fRk9erT5PmdnZ2JiYnBxcQGgWbNmREVF8dJLL+WZkf/1118pV64cS5Ys4fvvv+f69ev8+OOPRfqcIiIiIsVNM/NyX4wbN46BAweybds2tm3bRteuXfnXv/7F6dOnee2118zX/bVabePGjc1f29ra0rFjRwD8/f3Ns/U3NWvWDHt7exYtWsSJEyeIj48nPT39/j6UiIiISAmjZF4K3ebNm0lPT8fX15egoCCCgoJYunQp0dHR1KxZk6ioKACys7O5ePGi+b6/LpGxsPjfm0Ymkwkrq9y/qps2bWLmzJn06tWLwMBALl++jOqfiYiISFmjZTZS6GxtbZk2bRoJCQlATjJ+/PhxmjZtSkpKCj///DMAK1asYNiwYbdsIz09nU2bNpmva9GiRa7zO3bswMfHh6CgIKpVq8bu3bvJ1pZqIiIiUsZoZl4Knbu7O2FhYYSGhpKZmQlAq1ateP311/H09GTChAlcv34dOzs7Jk+efMs2KleuzMaNG5kxYwbVq1dn4sSJuc536dKFYcOGsWHDBqytrWnatKn5xYOIiIhIWWEwaW2CiIiIkFM0KuWSPn9UUKpIXDgUxxwWFoY7FrrUzLyUWUlJqRiNei1bEPpDWzgUx4JTDAuHquiKlD5aMy8iIiIiUkppZl7KrDu9ZSX5p5m8wqE4FpxiWHA3tJGASKmjZF7uyoYNG5g3bx5ZWVmYTCb8/f3p378/np6eLFiwgJo1a97X/r/99lsAunfvXuC2Bqz7kfPp1wrcjojIgyKqc7viHoKI3CUl85JviYmJTJ48mcjISBwcHEhLSyMkJITatWsX2RgKI4kXEREReVAomZd8u3z5MpmZmWRkZABQsWJFJk2ahI2Njfkao9HIBx98wI4dOzAYDHTs2JF//etfhIWF0aFDB9q1y5n1CQwM5P3338fOzo6xY8eSnJyMra0to0ePpn79+oSHh2NnZ8fBgwdJTExk0KBBBAUFMWvWLABef/11vv76a6Kiorh27RoGg4EPP/yQOnXqFH1gRERERIqJknnJt3r16uHl5UXbtm1xcXHBzc0NPz8/nJyczNd8++23nD17ltWrV3Pjxg1CQkJ4+umn8ff3Jzo6mnbt2hEfH8/169dp0KABwcHBjBkzhvr163P8+HEGDRpETEwMAOfOneObb77h6NGj9OrVi6CgIHM/qampbNy4kYULF2Jra8uMGTP45ptvGD16dJHHRURERKS4KJmXuzJu3DgGDhzItm3b2LZtG127dmXq1Knm87t27SIgIABLS0vKly+Pn58fO3bsYOjQobz//vukpqayZs0a/Pz8SEtL48CBA7z99tvm+9PT07l8+TIALVu2xGAw8PTTT5OcnJxrHHZ2dkybNo21a9cSHx/P1q1bcXFxKZIYiIiIiJQUSuYl3zZv3kx6ejq+vr4EBQURFBTE0qVLWb58ufkao9GY6x6TyUR2djbW1ta8+OKLxMbGsmHDBj755BOMRiPW1tZERUWZrz937hz29vYA5uU7BoMhz1jOnj1LSEgIr7zyCq1bt6ZatWocPnz4Pjy1iIiISMmlfeYl32xtbZk2bRoJCQlATqJ+/PjxXDPi7u7urFq1iuzsbK5du0Z0dDRubm4A+Pv7M3/+fKpUqcJjjz1GpUqVeOKJJ8zJ/Pbt2+nZs2e+xvLbb7/h5OREnz59aNKkCVu2bCFbW6qJiIhIGaOZeck3d3d3wsLCCA0NJTMzE4BWrVoxaNAgoqOjAejWrRvx8fH4+/uTmZlJx44deemllwB47rnnuHr1KsHBweY2IyIiGDt2LJ999hnlypVj+vTpt5yJ/7uWLVvy7bff4uvri7W1NY0bN+bYsWP34alFRERESi6DyWRSPXsRERHhRnY2KZfSi3sYpZ6jYyUuXLha3MMo9RTHHBYWhjsWutTMvJRZSUmpGI16LVsQ+kNbOBTHglMMC4eq6IqUPlozLyIiIiJSSmlmXu5ZQkICvXr1IjY2NtdxZ2dnJk6cSFxcHJMmTbqntv39/XPtcnM/3OktK8k/zeQVDsWx4BTDgruhjQRESh0l81Ii3e9EHuBf67ZyPj3jvvcjIlJarOr8UnEPQUTukpJ5ue8++OADLl68SEREBC+99BKNGzfm8OHDfPPNNyxYsIAdO3aQkpKCg4MDs2bNwtHREWdnZ44cOcKsWbNITEzk1KlT/Pnnn3Tp0oXXXnuN7OxspkyZQlxcHNnZ2QQGBtKnT5/iflQRERGRIqU183JfzZo1i3PnzjFlyhQsLS0BaN26NTExMaSmpnLixAkWL15MTEwMtWrVMm9x+VdHjhzh888/Z9myZcybN48rV66wdOlSAFauXMny5cvZtGkTP//8c5E+m4iIiEhx08y83DMLi7yvBU0mk3mf+C1btnDp0iWWL1+OldX/ftWaNGkCgJOTEyNGjGDZsmWcPHmSvXv3UqtWrTxturm5YW1tTdWqVbG3t+fq1avs2LGDw4cPs3PnTgDS09M5cuQIzz///P14VBEREZESScm83LPKlStz9WrureCSkpKoUqUKAI899hj/+c9/eO+991i8eLE5+bexsQHgwIEDDB06lD59+uDt7Y2FhQW3Kntw83oAg8GAyWQiOzub4cOH8/LLLwNw6dIlKlSocF+eU0RERKSk0jIbuWd2dnY4OTkRExNjPrZkyRKaN28OQJ06dejSpQvly5dn0aJFee7fvXs3rq6udO/enbp167J9+3ay87mTgru7O0uXLiUzM5O0tDR69OjBvn37CufBREREREoJzcxLgURERDB27Fg++ugjMjMzcXZ2ZsyYMWzevNl8zdixY+nevTsvvZR7lwRfX1/CwsLw8/OjXLlyODs7k5CQkK9+g4ODOXXqFAEBAWRlZREYGIibm1thPpqIiIhIiWcw3Wpdg0gZoK0pRURyW9X5JVXSLQSqSFw4FMccFhaGO9bG0cy8lFnzfFsV9xBEREoUFY0SKX2UzEuZlZSUitGoN6YKQrMmhUNxLDjFsHCoiq5I6aNkXsqsO71lJfmn//kXDsWx4BTDgtPMvEjpo2S+jNiwYQPz5s0jKysLk8mEv78//fv3v6e2YmNjOXXqFH379mXWrFkAvP7663e8JysrixdffBFvb29Gjx5tPn7mzBleffVVKlSowIIFC7Cz+1+CPXLkSIKDg2nUqNE9jfOf/Gv9Dq2ZFxH5i1VBbYp7CCJyl5TMlwGJiYlMnjyZyMhIHBwcSEtLIyQkhNq1a+Pl5XXX7R08ePCu79myZQuNGjVi/fr1DBs2jPLlywMQFxdHgwYNmDZtWp57JkyYcNf9iIiIiJQlSubLgMuXL5OZmUlGRs4sdMWKFZk0aZK5GNPevXuZMGEC169fx8HBgffeew8nJydCQkIICwvDzc2NhIQEevXqxbx581i8eDEANWrUAGD//v0EBweTmJhIYGDgLWfpIyMjeemllzCZTKxdu5bOnTtz+PBhPvzwQ9LT0xkzZgyOjo7s3buXs2fP0rNnTzZs2EBYWBiurq5MnTqVjRs3YmlpSbdu3ejduzdxcXFMnz6djIwMUlJSGD58OD4+PkUUVREREZHip6JRZUC9evXw8vKibdu2dO7cmYiICIxGI05OTty4cYM333yT0aNHs3r1aoKDg3nzzTdv21bdunUJDg4mODiYoKAgIKfq64IFC1ixYgWff/45qampue65dOkS27dvx8vLCx8fH/OLARcXFwYPHoynpyfvvfceADdu3GDdunX07NnTfP+GDRvYs2cP0dHRLFu2jMjISC5cuMDXX3/N+PHjWblyJRMmTODjjz8u7NCJiIiIlGhK5suIcePGERsbS/fu3Tlz5gxdu3blu+++Iz4+nsqVK9O4cWMAfHx8+OOPP7h6Nf+7QrRq1Qpra2seeughHBwcSElJyXV+9erVuLu7U6VKFby8vDh69CiHDh26ZVs3x/FXu3fvxsfHB2traypWrEhUVBSOjo5ERERw7NgxPvroI+bPn09aWtpdRERERESk9FMyXwZs3ryZdevWUb16dYKCgpg+fTqjRo1i+fLlGI3GPNebTCay//+OBjdrimVlZd22fSur/63WMhgM/L0OWWRkJL/++iuenp507NgRCwsL8+z839na2t6xfYCEhATS09Pp0aMH+/fvp2HDhoSGht52fCIiIiIPKiXzZYCtrS3Tpk0jISEByEnQjx8/jouLC08++STJycns378fgHXr1lGjRg3s7e1xcHDg+PHjAGzcuNHcnqWl5R2T+786ePAg586dY/PmzcTGxhIbG8snn3xCdHR0nuU4t9OsWTO+//57MjMzuXbtGv379+f48ePEx8czZMgQPDw82L59u/kFiIiIiEhZoQ/AlgHu7u6EhYURGhpKZmYmkLM0ZtCgQVhbWzN9+nTef/99rl27RpUqVZg+fToA/fv3Jzw8nBUrVuTa9aZZs2aMGDGCatWq/WPfkZGRBAYG5ppxd3Nzo3bt2kRHR5s/hHsnL730EgcOHCAwMBCj0UivXr1o3LgxXbp0oX379tjZ2dG0aVMyMjJIT0+nQoUKdxsiERERkVLJYPr7mgiRMkL7zIuI5LYqqI0q6RYCVSQuHIpjDgsLwx0LXWpmXsqseT7Ni3sIIiIliirAipQ+SualzEpKSsVo1BtTBaFZk8KhOBacYlg4HB0rFfcQROQuKZmXMutOb1lJ/ul//oVDcSw4xbDgbmTn3eFMREq2+5bMb9iwgXnz5pGVlYXJZMLf35/+/fvfU1uxsbGcOnWKvn37MmvWLIBbVhm9KTIykri4OCZNmgRAYmIivXr1omfPnvTq1euexnAvJk+ejJ+fH1evXiU0NJRatWoBYDQaSUtLY8CAAXTv3r1Q+3R2dubIkSN5jt+s5lqhQgUWL17MhAkTCtTPzJkziYqK4pVXXqFv37637X/cuHEcO3aMTz75hIoVKxaoz9v58ssvcXJyok2bNnd137/Wx3Eh/fp9GZOISGm0MqhVcQ9BRO7SfUnmExMTmTx5MpGRkTg4OJCWlkZISAi1a9fOtStKfh08ePCex3LhwgX69OljTuaLyu+//86FCxeoX78+u3btomHDhixcuNB8/vDhw3Tu3Bk/Pz/s7IpuhrhRo0Y0atSowO1ERUXx2WefUbt27dteM378eE6cOMGnn35K+fLlC9zn7fTo0YNXXnmFli1bYm1tfd/6ERERESlp7ss+85cvXyYzM5OMjJydQipWrMikSZOoW7cuAHv37qVLly507NiR3r17c+rUKSBn9njXrl1ATmEgT09Pjh8/zuLFi1m8eDErVqwAYP/+/QQHB9OmTRvzTP2tJCUl0bdvX/r27ZsrkV+xYgUdOnTAz8+P8PBwc+VQd3d3+vXrh7+/P5mZmcybN4+AgAA6duzIlClTzMWQpk+fTteuXfH29iY4OJgLFy7k6fuLL76gY8eOtx3bn3/+Sfny5bG2tiY7O5uJEyea+/ryyy8B2LVrF6+88gp9+vTB29ub4cOHc+PGDXNsbpo1a1auOIwePRp/f3/69OnDmTNncvW7a9cuQkJCgJwXFF26dMHPz49XXnmFc+fO5Rnn3Llz8fX1xc/Pj0mTJpGdnc2YMWNITExk0KBBHD58+JbPN2nSJE6cOMEnn3xiTuRPnjxJSEgIfn5+dOvWzby3fXh4OKGhofj4+BAbG8v+/fvp3r07AQEBvPrqq5w+fRqAuLg483FPT0/Wr18PgLW1Nc899xzR0dG3jbeIiIjIg+i+JPP16tXDy8uLtm3b0rlzZyIiIjAajTg5OXHjxg3efPNNRo8ezerVqwkODubNN9+8bVt169YlODiY4OBggoKCgJwkfcGCBaxYsYLPP//8lsWHLl26RJ8+fcjMzKRTp07m40eOHGHu3LksXLiQ6Ohoypcvz+zZs4GcFyH/+te/iIqKYseOHRw4cIDly5ezatUqEhMTWb16NadOneLEiRMsXryYmJgYatWqlSeJNJlMbN68meeff9587MCBA/j7+/Pyyy/j5ubG6tWr+eKLL7C2tmbp0qUArFy5kuXLl7Np0yZ+/vlnIOeFy5gxY9iwYQPXr19n0aJF/xj/Zs2aERUVxUsvvXTH5TTDhg1j4MCBREdH4+vry1dffZXr/I8//khsbCyRkZGsXLmSU6dOsXjxYt577z0efvhh5s2bh4uLS552IyIimD9/Pv/6179y7S8/fPhwQkJCiI6O5u2332bIkCHcuHEDAHt7e9avX88LL7zAqFGjmDZtGitXrqRv376MHj0agK+//prx48ezcuVKJkyYwMcff2xu+/nnnyc2NvYfYyMiIiLyILlvFWDHjRtHbGws3bt358yZM3Tt2pXvvvuO+Ph4KleuTOPGjQHw8fHhjz/+4OrV/O9C0KpVK6ytrXnooYdwcHAgJSUlzzVbt27l1VdfpVatWkybNs18fPfu3bRp0wYHBwcAunXrxs6dO83nmzRpAsCOHTvYv38/gYGBBAQEcODAAY4fP46TkxMjRoxg2bJlTJo0ib1795Kenp6r78uXLwPkKl7UsGFDoqKiWLNmDe7u7tja2ppjsGPHDmJjY/H396dLly6cO3fOvO68WbNmPPnkkxgMBvz9/XON9VZsbW3N7wj4+/sTFxd3y+suXbrEhQsXzOvMe/TowYgRI3Jds3PnTtq3b4+trS1WVlYEBQWxY8eOO/YPcPz4cSZPnsw777xj/rmmpaXxxx9/8PLLLwPQtGlTqlSpwokTJwDMsYiPj+f06dO89tpr+Pv7M3XqVPPMfEREBMeOHeOjjz5i/vz55ndUAB577DHzOzwiIiIiZcV9WTO/efNm0tPT8fX1JSgoiKCgIJYuXcry5ctvOQtvMpnI/v97295cypKVlXX7QVv9b9gGg4Fb1b3y8fEhICCAF154AT8/P1q0aIGHhwdGY+5P6ptMplx93ZxJzs7Opnfv3uYPd165cgVLS0sOHDjA0KFDzUtfLCws8vRvMBiwtLS85ditra0ZP3483t7erFmzhg4dOpCdnc3w4cPNie6lS5eoUKEC+/bty9WOyWTC0tIyzzNnZWWZY2JhYZHr+r/G6q/KlSuX6/vr169z/vx5Hn/8cfOxv8fqZl//ZNasWVhbW7N161beffdd/vvf/2IymfLE6a8/95txNxqN1KxZk6ioKCDn53Dx4kUg5wWHm5sbbm5uNG/enGHDhpnbsrKywmAw/OPYRERERB4k92Vm3tbWlmnTppGQkADkJG3Hjx/HxcWFJ598kuTkZPN66XXr1lGjRg3s7e1xcHDg+PHjAGzcuNHcnqWlZb6SyL+6+UFIR0dHxo0bx9tvv83FixdxdXUlNjaW5ORkAJYuXYqbm1ue+93d3YmKiiItLY2srCwGDRpETEwMu3fvxtXVle7du1O3bl22b99uTkhvcnBwMO9YcyuVKlXi9ddfZ+rUqWRkZODu7s7SpUvJzMwkLS2NHj16sG/fPgB++eUXEhMTMRqNrFq1itatW1O5cmVSUlK4dOkSN27cYOvWrea209PT2bRpE5Dz2YAWLVrcdgyPPPII27dvB3I+0Dpjxow8MVi7di0ZGRlkZWWxYsUK3N3d/yn05ti/++677NmzhxUrVmBnZ8fjjz/Od999B+R8buLixYs89dRTue598sknSUlJMS8zWrFiBcOGDSM5OZn4+HiGDBmCh4dHnrgnJCTg5OT0j2MTEREReZDcl5l5d3d3wsLCCA0NJTMzE8hZGjNo0CCsra2ZPn0677//PteuXaNKlSpMnz4dgP79+xMeHs6KFSty7XrTrFkzRowYQbVq1e5pPN7e3sTGxjJixAg+++wz/v3vfxMSEkJmZiYNGjRg3Lhxee7x9PTk999/p2vXrmRnZ9OqVSsCAgI4f/48YWFh+Pn5Ua5cOZydnc0vWv6qdevW/Pzzz3h4eNxyTF26dGHBggV88cUXDBgwgFOnThEQEEBWVhaBgYG4ubmxa9cuHn74Yd566y0SExNp2bIlXbp0wdLSkn79+tG5c2ceeeSRXLvTVK5cmY0bNzJjxgyqV6/OxIkTbxuXiIgIxo4dy5QpU3BwcGDKlCm5zrdp04bDhw8TFBREVlYWrVq14pVXXslv2KlcuTITJ05k0KBBPPvss+b+Zs2aRbly5cwz+H9lbW3NjBkzmDBhAtevX8fOzo7Jkydjb29Ply5daN++PXZ2djRt2pSMjAzS09OpUKECu3btuqedkkRERERKM4PpVmtUpMB+//13Pv74Y2bOnHnPbezatYvZs2fn2tJS8rpx4wbBwcEsXrz4rram1D7zIiK5rQxqpUq6hUAViQuH4pjDwsJwx0KXqgB7n9SrV49HH32UQ4cOUb9+/eIezgPt66+/ZuDAgXe9x/w8H9f7NCIRkdJJFWBFSh/NzEuZlZSUitGoX/+C0KxJ4VAcC04xLByKY+FQHAuH4phDM/Mit3GnfxiSf46OlYp7CA8ExbHgFMOC08y8SOmjZF5ua8OGDcybN4+srCxMJhP+/v70798/3/f7+/ubt5gsif69fo/WzIuI/EVkUPPiHoKI3CUl83JLiYmJTJ48mcjISBwcHEhLSyMkJITatWvne9eYkpzIi4iIiDwIlMzLLV2+fJnMzEwyMjIAqFixIpMmTcLGxgZPT08WLFhAzZo1c+24ExISQpUqVTh27BgffvghnTp14siRI8yaNYvExEROnTrFn3/+SZcuXXjttddITU3lnXfeITExkfPnz/P8888zZcoU4uLimDt3LiaTiT/++ANvb28qVapkrj0wb948qlWrxpYtW5g5cyZZWVnUrFmT999/31zZV0RERKQsuC9Fo6T0q1evHl5eXrRt25bOnTsTERGB0Wj8x8JMzs7OxMTE4OLikuv4kSNH+Pzzz1m2bBnz5s3jypUrbN68GRcXF5YsWUJMTAx79+7l4MGDAOzbt4+JEyeydu1aFi9ezEMPPURkZCTOzs6sXbuWS5cuMW3aND7//HNWrVrFCy+8wNSpU+9bPERERERKIs3My22NGzeOgQMHsm3bNrZt20bXrl3/MWFu3LjxLY+7ublhbW1N1apVsbe35+rVq3To0IH9+/fz5ZdfcuLECZKTk0lPTwfg6aef5tFHHwVyKuo2b56zjrNGjRpcuXKFffv2cfbsWXr16gWA0WikSpUqhfXoIiIiIqWCknm5pc2bN5Oeno6vry9BQUEEBQWxdOlSli9fDsDNHU2zsrJy3Wdra3vL9mxsbMxfGwwGTCYTCxcuJCYmhq5du9KiRQuOHj1qbrdcuXK57re0tMz1fXZ2Ns8++yxz584F4Pr166SlpRXgiUVERERKHy2zkVuytbVl2rRpJCQkADnJ+/Hjx3FxccHBwYHjx48DsGnTpnvuY/v27XTr1o2OHTtiMBj4/fffMRrzty1akyZN2Lt3LydPngTg448/ZsqUKfc8FhEREZHSSDPzckvu7u6EhYURGhpKZmYmAK1atWLQoEE8++yzvP/++8yePZsXXnjhnvvo3bs3Y8eO5YsvvqBixYo888wzJCQkUKtWrX+819HRkQ8++IA33ngDo9FI9erViYiIuOexiIiIiJRGqgArIiIiQE7RqJRLWrJYUKpcWjgUxxyqACtyG0lJqRiNei1bEPpDWzgUx4JTDAuHquiKlD5aMy8iIiIiUkppZl7KrDu9ZSX5p5m8wqE4FpxiWHA3svO3CYGIlBxK5uWebNiwgXnz5pGVlYXJZMLf35/+/fsXStsJCQn06tWL2NjYQmnvdkLX7+dC+o372oeISGmyIuj54h6CiNwlJfNy1xITE5k8eTKRkZE4ODiQlpZGSEgItWvXxsvLq7iHJyIiIlJmaM283LXLly+TmZlJRkYGABUrVmTSpEn83//9n3l7yO3bt/PMM8+Yi0r5+vpy8eJF9u/fT/fu3QkICODVV1/l9OnTABw6dIiAgAACAgL46KOPzH1dvHiRgQMHEhgYSFBQED/99BMAs2bNYtSoUYSEhODp6cmcOXOKMgQiIiIiJYKSeblr9erVw8vLi7Zt29K5c2ciIiIwGo14eXmxY8cOAHbs2EH58uU5dOgQp0+fpmLFilSuXJlRo0Yxbdo0Vq5cSd++fRk9ejQAI0aMYPjw4axcuZKaNWua+5owYQJBQUFERkYyZ84cxowZQ2pqKgBHjhzh888/Z9myZcybN48rV64UfTBEREREipGW2cg9GTduHAMHDmTbtm1s27aNrl27MnXqVFJTU0lJSeHnn3+mZ8+exMXFUb58eTw8PIiPj+f06dO89tpr5nZSU1O5dOkS58+fp0WLFgAEBgayYsUKAH766SdOnDjBzJkzAcjKyjLP5ru5uWFtbU3VqlWxt7fn6tWrVK5cuYgjISIiIlJ8lMzLXdu8eTPp6en4+voSFBREUFAQS5cuZfny5bRq1Yrvv/8eg8FAmzZtmDFjBgaDgddffx2j0UjNmjWJiooCIDs7m4sXL2IwGPhr7TJLS0vz10ajka+++gp7e3sgZ71+tWrV2LhxIzY2Nubr/t6GiIiISFmgZTZy12xtbZk2bRoJCQkAmEwmjh8/jouLCx4eHnzyySc899xzuLi4cPz4cU6ePEmDBg148sknzbP2ACtWrGDYsGE4ODhQo0YNNm/eDMCaNWvMfbm7u/PNN98AcPz4cTp27Mi1a9eK9oFFRERESijNzMtdc3d3JywsjNDQUDIzMwFo1aoVgwYNwmQyceHCBVxdXTEYDNSvX988q25tbc2MGTOYMGEC169fx87OjsmTJwMQERHB22+/zYcffkjTpk3NfY0aNYoxY8bg5+cHwJQpU7Cz0/7wIiIiIgAGk9YmiIiICDlFo1IupRX3MEo9R8dKXLhwtbiHUeopjjksLAx3LHSpmXkps5KSUjEa9Vq2IPSHtnAojgWnGBYOVdEVKX20Zl5EREREpJTSzLyUWXd6y0ryTzN5hUNxLDjFsOBuZBuLewgicpeUzJdBGzZsYN68eWRlZWEymfD396d///7/eN+AAQMYP348N27cYM6cOXzwwQcFHounpycLFizIVSjqXsyaNQuA119/Pd/3vLb+EBfSMwvUr4jIg2R5UJPiHoKI3CUl82VMYmIikydPJjIyEgcHB9LS0ggJCaF27dp4eXnd8d5PP/0UgF27dpkLN4mIiIhI8VEyX8ZcvnyZzMxMMjIyAKhYsSKTJk1i8+bN7Nmzh+HDh7N9+3bCwsLYvXs3VlZW+Pr6smDBArp27cqCBQsYP348CQkJjBs3jtq1a5urtWZkZHD69Gl+/PFH0tPTGTt2LMnJydja2jJ69Gjq169PeHg4ycnJnDp1iuHDh5vHlZqayjvvvENiYiLnz5/n+eefZ8qUKcTFxfHJJ59ga2vL//3f/+Hs7MzUqVOxtrbms88+Y+nSpTg4OFC5cmUaN25cLDEVERERKS5K5suYevXq4eXlRdu2bXFxccHNzQ0/Pz+8vLzMyfWOHTsoX748hw4dwsHBgYoVK1KtWjVzG6NGjWL27Nm8++67APTq1QuTyURYWBhdunTB0dGR4OBgxowZQ/369Tl+/DiDBg0iJiYGAHt7e+bOnQvA+PHjgZyqsi4uLsycOZMbN27Qvn17Dh48CMCvv/7K+vXrefjhh+natSvbtm3D0dGRFStWsHLlSgwGA926dVMyLyIiImWOkvkyaNy4cQwcOJBt27axbds2unbtytSpU0lNTTVXaO3ZsydxcXGUL18eDw+Pf2xzxowZWFtb079/f9LS0jhw4ABvv/22+Xx6ejqXL18GuGXS3aFDB/bv38+XX37JiRMnSE5OJj09HYCnnnqKRx55BIA6deqQkpLCyZMn8fDwoGLFigC0a9cOo1Ef3BIREZGyRcl8GbN582bS09Px9fUlKCiIoKAgli5dyvLly2nVqhXff/89BoOBNm3aMGPGDAwGwz9+qHT9+vX88MMPLF68GACj0Yi1tTVRUVHma86dO2euBGtra5unjYULFxITE0PXrl1p0aIFR48e5WY9MxsbG/N1BoMBk8mEwWDIlbxbWVlx48aNe46LiIiISGmkfebLGFtbW6ZNm0ZCQgIAJpOJ48eP4+LigoeHB5988gnPPfccLi4uHD9+nJMnT9KgQYNcbVhaWpKVlQXA4cOHmTJlCrNnz6Z8+fIAVKpUiSeeeMKczG/fvp2ePXvecVzbt2+nW7dudOzYEYPBwO+//37HmfbmzZuzefNmrl69yvXr1/n+++/vOSYiIiIipZVm5ssYd3d3wsLCCA0NJTMzZ1vGVq1aMWjQIEwmExcuXMDV1RWDwUD9+vXNs+l/VadOHa5evcrw4cNJSkoiKyuLIUOGkJ2dDcDo0aOJiIhg7NixfPbZZ5QrV47p06djMBhuO67evXszduxYvvjiCypWrMgzzzxDQkICtWrVuuX1Li4u9O7dm86dO1O5cmVq1KhR8OCIiIiIlDIG0821DCIiIlKm3cg2knIprbiHUeo5OlbiwoWrxT2MUk9xzGFhYbhjoUvNzEuZlZSUitGo17IFoT+0hUNxLDjFsHCoiq5I6aNkXsqsO73KlfzT//wLh+JYcIphwd3I1q5gIqWNknkpFEePHsXPz4+ZM2fi7e0NgKenJwsWLCAuLo64uDgmTZpU4H4GDBjA+PHjqV69eoHbGrT+OBfSMwvcjojIg2JpkEtxD0FE7pJ2s5FCERkZibe3t3l7yvvl008/LZREXkRERORBoJl5KbCsrCxWr17NokWLCA4O5o8//sizC82pU6fo2bMnycnJtGnThqFDh2IwGJg+fTo7duwgJSUFBwcHZs2ahaOjIy+88ALe3t788ssvWFpa8uGHH/L444+bZ/vt7e155513SExM5Pz58zz//PNMmTLljjvmiIiIiDxoNDMvBbZ582Zq1KhB7dq1adu27S1n5xMSEpg1axYrV67kl19+YdOmTZw6dYoTJ06wePFi/h97dx4XVfX/cfw17CriipprhmbuWi64J1qKAgrkmqBmluVebpUZ5b5lqWVlZrnlioia69cd93LNJffEFBUS2RSYmd8fPJpfpOLC6IC8n3/BnXPP/dxPI33mzLnnrFu3jtKlS7Ny5UoArl27Rr169QgLC6N27drMnz//jmtWrFiRRYsWsW7dOg4ePMjvv//+RO5XREREJKtQMS+ZFhoaio+PDwCtWrVi+fLld+zG6uXlRcGCBXFycsLb25u9e/dSpkwZhg4dypIlSxg3bhwHDx4kMTHRck6jRo0AKF++PLGxsen68/HxoUGDBvz444+MGjWKGzdupDtXREREJCfQNBvJlOjoaLZt28bRo0eZM2cOZrOZmzdvsn79+nTtHBz+/61mNptxcHDg6NGjvP/++3Tr1o0WLVpgZ2fHv7c9cHZ2BsBgMPDf7RDmzp3LunXraN++PfXr1+ePP/64o42IiIjI004j85Ip4eHheHp6sm3bNjZt2sTmzZvp1asXixYtStdu69at3Lx5k9u3b7N69Wrq16/Pvn37qFOnDp06daJcuXJERERYdpG9n4iICDp06ICfnx8Gg4ETJ05gMmlJNREREclZNDIvmRIaGsrAgQPTHevcuTPff/89rq7/v477c889x1tvvcXNmzfx8fGhYcOGlC9fnj59+uDr64ujoyMVKlQgMjLyga7btWtXQkJC+OGHH8iTJw81a9Z84HNFREREnhYGs+YmSA6ldeZFRNJbHFhRO+lagXYktg7lMY2dnSHDjS41Mi851lfe5WwdgohIlqIdYEWyHxXzkmNFR8djMumLqczQqIl1KI+Zpxxah7t7XluHICIPScW85FgZfWUlD07/87cO5THzlMPM08i8SPajYl7Yv38/I0eOTHfsjz/+oG/fvhQoUIBOnTo9UD9BQUH06dOHunXrPlD70NBQ9u7dy7hx4x46Zmvos/ZPriWm2uTaIiJZ0aKA52wdgog8JBXzQq1atVixYoXl9x9//JGwsDB69OhhWetdRERERLIerTMv6ezfv58ZM2YwdepUvvvuO6ZNmwZAgwYNGD58OC1btiQoKIg1a9bQuXNnvLy82Lt3r+X8xYsX4+/vT9u2bdmzZw8AUVFR9OjRg/bt29O0aVMmTZpkaX/hwgVef/11WrduzaRJkzCbzfTq1YutW7cCMGXKFN58800Arl69atlpNiwsDH9/f9q0acOHH37I7du3n0h+RERERLISFfNiER0dzXvvvcfo0aMpXbp0uteuX7/Oyy+/zNq1awHYuHEjCxYsoG/fvvz000+Wdrlz52b58uWMGzeOIUOGkJyczKpVq/Dx8WHx4sWEh4ezYMECYmJiAIiMjGTatGksX76cX3/9lf/97380adKE3bt3A7Bv3z7Onj2L0Whk+/btNG7cmFOnTrF48WIWLlzIihUrKFSoELNmzXpCWRIRERHJOjTNRgAwmUy8//77tG7dmubNm9+1TePGjQEoUaIEL730EgDFixfn5s2bljavvfYaAC+88AIFCxbk7Nmz9OjRg927dzNr1ixOnTpFSkoKSUlJAHh5eVGwYEEAvL292bt3L927d+edd94hPj4egAoVKvD777+zbds2unTpwp49e7hw4QLt27cHICUlhUqVKj2GrIiIiIhkbSrmBYDp06eTkpLC+++/f882Tk5Olp/t7e3v2ubfx81mMw4ODowbN46LFy/i4+ND8+bN2blzJ//sVebg4HBH+2eeeQaTycT69et58cUXKVy4MLt37+b333/nxRdf5NixY3h7ezN8+HAAEhISMBqNmbp/ERERkexI02yEiIgIlixZwpQpU9IV149i5cqVABw5coT4+HjKlClDREQEPXr0wNvbm8uXLxMVFYXJlLb82datW7l58ya3b99m9erV1K9fH0j7FmDGjBnUqVMHT09P5s6dS/Xq1bG3t6du3bps2LCB6OhozGYzAGL6qQAAf8BJREFUISEh6ab6iIiIiOQUGpkXvv32W4xGIz179kx3/Pr163Ts2PGh+kpMTKRt27bY2dkxefJkHB0defvttxkyZAhubm4UKlSIKlWqEBkZCcBzzz3HW2+9xc2bN/Hx8aFhw4YAvPzyy8yePZuXXnqJ3Llzk5KSwssvvwykTeHp06cPXbt2xWQyUbFiRd56663MJ0JEREQkmzGY/5nvIJLDaJ15EZH0FgU8p510rUA7EluH8pjGzs6Q4UaXGpmXHGt6y9L3byQikoNoB1iR7EfFvORY0dHxmEz6YiozNGpiHcpj5imH1uHuntfWIYjIQ1IxLzlWRl9ZyYPT//ytQ3nMPOUw81KMGuAQyW5UzMsjS01NZebMmYSHh2MwGDAajfj7+/P2229jMBgeyzV//vlnADp16pTpvj5cd4noRC1pKSLyj2/9Nf1QJLtRMS+P7NNPP+X69essWrQINzc34uPj6d27N3nz5uX1119/LNe0RhEvIiIi8rRQMS+P5MqVK4SHh7Nt2zbc3NwAcHV1ZcSIEZw+fZrr168zYsQIrly5gsFg4P3336d+/fokJSUxfPhwTp48icFgoEePHrRt25bQ0FCWL1/OjRs3aNq0KZ07d2bQoEHExsby/PPPs2/fPrZt28a0adMA6Nu3L/PmzWPFihUkJSVhMBj44osv8PDwsGVaRERERJ4oFfPySA4fPoyHhwf58uVLd9zDwwMPDw8GDhxIYGAgzZo14+rVq3Tu3JmwsDC+/vprChQowKpVq4iJiaFdu3a88MILAERFRfHLL7/g4OBA37598fb25vXXX2fDhg2sWrUq3XXi4+PZuHEjc+fOxcXFhS+//JIFCxbw8ccfP7EciIiIiNiainl5ZP+eF7927VpmzJiByWTCycmJyMhIzp49y9SpU4G0+fUXL15k9+7djBkzBoCCBQvSrFkz9u7di6urK5UqVbLsQBsREcHYsWMBeOWVVyyj//9wdXVl8uTJrF69mvPnz7N9+3YqVqz4JG5bREREJMtQMS+PpHLlypw5c4b4+HhcXV1p2bIlLVu2JDIykuDgYEwmEz/99BP58+cH0kbdCxcuzH/3KDObzRiNaQ+huri4WI7b29vf0fbfLl++TFBQEF26dKFx48YULlyY48ePW/9GRURERLIwO1sHINlTiRIl8PPzY+jQody8eRMAo9HIli1bsLOzw9PTkwULFgBw+vRp/Pz8SEpKwtPTk6VLlwIQExPD//73P+rUqXNH//Xr12flypUAbN261XKNfxw5coQyZcrQrVs3qlevzrZt2ywfCkRERERyCo3MyyMLCQlh9uzZBAcHYzabSU5OpkaNGsycOZPcuXMzYsQIfH19AZgwYQKurq707t2bkJAQfH19MRqN9OrVi8qVK3Py5Ml0fX/44YcMHTqUxYsX88ILL9wxzaZBgwb8/PPPtGrVCicnJ6pVq8apU6ee2L2LiIiIZAUGc0ZzGURsZM6cOdSvX59y5crx+++/8/HHHxMaGmrVa2ideRGR9L71L62ddK1AOxJbh/KYxs7OkOFGlxqZlyypTJkyvPfee9jZ2eHs7MzIkSOtfo0xLUpYvU8RkexMO8CKZD8amZccKzo6HpNJb//M0KiJdSiPmaccWofyaB3Ko3Uoj2k0Mi9yDxn9w5AH5+6e19YhPBWUx8xTDjNPI/Mi2Y+KebGK1NRUZs6cSXh4OAaDAaPRiL+/P2+//Xa69eizkvHrrnBDc+ZFRCzG+mv6oUh2o2JerOLTTz/l+vXrLFq0CDc3N+Lj4+nduzd58+bl9ddft3V4IiIiIk8lFfOSaVeuXCE8PJxt27ZZlpB0dXVlxIgRnD59mmHDhnHjxg0uXLjA4MGDKVy4MGPHjuXWrVsUKFCATz/9lFKlSnHhwgVCQkK4ceMGLi4ufPzxx1SqVIlLly7xwQcfEBMTg4uLC6NGjeKFF14gLCyMn376CZPJROXKlfnkk09wdna2cTZEREREnhxtGiWZdvjwYTw8PMiXL1+64x4eHrRo0QKA/Pnzs2bNGho2bMjw4cOZPHkyy5cvp3v37nz88ccADB06lMGDB7N8+XJGjhzJwIEDgbRR/xYtWrBq1Sr69u3LjBkzOHXqFIsXL2bhwoWsWLGCQoUKMWvWrCd74yIiIiI2ppF5sYp/z4tfu3YtM2bMwGQy4eTkRPny5alWrRoA58+f5+LFi7zzzjuW9vHx8SQkJHD06FE++OADy/HExET+/vtv9u3bx+effw5AkyZNaNKkCfPmzePChQu0b98egJSUFCpVqvQkblVEREQky1AxL5lWuXJlzpw5Q3x8PK6urrRs2ZKWLVsSGRlJcHAwAC4uLgCYTCZKlizJihUrADAajVy/ft1S+P9zHNKm7+TPnx8Hh/9/m5rNZs6cOYPRaMTb25vhw4cDkJCQgNGoh1lFREQkZ9E0G8m0EiVK4Ofnx9ChQ7l58yaQVqRv2bIFO7v0b7HnnnuO2NhY9u/fD8CyZcsYNGgQefPm5dlnn7UU8xEREZYHZ2vVqsXq1asB2LlzJx9//DF169Zlw4YNREdHYzabCQkJ4aeffnpStywiIiKSJWjTKLEKk8nE7NmzWblyJWazmeTkZGrUqMFbb73Ft99+S506dQgICADgwIEDjB49mtu3b+Pq6sr48eMpXbo0Z86csTwA6+joSEhICNWqVePy5csMHz6c69evkytXLkaNGkW5cuVYsmSJ5QHYihUrMmbMmId6AFZLU4qIpDfWv4Q26bECbXZkHcpjmvttGqViXkRERIC0TaNuxMTbOoxsT0WodSiPabQDrMg9REfHYzLps2xm6A+tdSiPmaccWod20RXJfjRnXkREREQkm9LIvORYGX1lJQ9OI3nWoTxmnnKYealGfVspkt2omJdMi4yMpGXLlnh4eKQ7XqlSJZo3b06zZs3ueW6FChU4efJkpmMYNmxYuodsH8RX664SqwdgRUQsPvR/xtYhiMhDUjEvVlGkSJF0a8SLiIiIyOOnYl4em39Gy+vUqUOfPn0oX748x48fp1ChQnz55Zfkz5/f0jYqKooPP/yQuLg4rl27RuvWrRk0aBChoaFs376d2NhYLl68SIMGDQgJCcFsNjNu3Di2bNlCkSJFMBqN1KlTx3Y3KyIiImIDKubFKq5evUqbNm0sv/v6+qZ7/cSJE4wZM4ZKlSrRt29fVq5cSVBQkOX1VatW4ePjg7+/P3FxcTRp0oQ33ngDSFuXftWqVdjb29OyZUs6derEuXPnOHbsGKtWrSIuLg4/P78nc6MiIiIiWYiKebGKu02zGTZsmOXnQoUKUalSJQDKly9PbGxsurY9evRg9+7dzJo1i1OnTpGSkkJSUhIANWvWxNU17WHVUqVKERsby969e3n11VdxdHSkYMGCNG7c+HHenoiIiEiWpGJenoh/78xqMBj4715l48aN4+LFi/j4+NC8eXN27txpaXO3cw0GAyaTyXLcwUFvZREREcl5tM68ZAkRERH06NEDb29vLl++TFRUVLpi/b/q1avH2rVrSU5OJjY2lu3btz/BaEVERESyBg1nSpbw9ttvM2TIENzc3ChUqBBVqlQhMjLynu2bN2/OkSNH8PHxoXDhwncsiykiIiKSExjM/53vICIiIjlSqtHM3zHxtg4j23N3z8u1a3G2DiPbUx7T2NkZMtzoUiPzkmNFR8djMumzbGboD611KI+Zpxxah3bRFcl+NGdeRERERCSb0si8ZCgyMpKWLVta5qTfunWLChUqMGLECAoXLmzT2Ly8vJgzZw4lS5Z8pPMz+spKHpxG8qxDecw85TDzUo36tlIku1ExL/f17zXkzWYzn3/+Of369WPBggU2jixzflh3jbhEo63DEBHJMvr7F7N1CCLykFTMy0MxGAz07duXBg0acOLECbZt28aaNWswGo00bNiQwYMHc+nSJfr06UP58uU5fvw4hQoV4ssvvyR//vw0aNCApk2bsn//ftzd3encuTNz587lypUrjBs3jjp16rB3716mTJnCrVu3iI2NZfDgwXh7ezNs2DBu3LjBhQsXGDx4sCWmc+fO8fbbbzNhwgRq1Khhu+SIiIiIPGGaMy8PzcnJiTJlynDixAmOHj3K0qVLCQsLIyoqivDwcABOnDhB9+7dWbVqFW5ubqxcuRKA69ev8/LLL7N27VoANm7cyIIFC+jbty8//fQTAPPmzWPUqFEsX76c0aNH8/XXX1uunT9/ftasWYOXlxcAly9fpk+fPowdO1aFvIiIiOQ4GpmXR2IwGJgzZw4xMTEEBAQAafPpixcvzksvvUShQoWoVKkSAOXLlyc2NtZybuPGjQEoUaIEL730EgDFixfn5s2bAEycOJHNmzezdu1aDh06REJCguXcatWqpYtjwIABVK1a1dKPiIiISE6ikXl5aMnJyZw7d45nnnmGrl27smLFClasWMGSJUvo1asXAM7Ozpb2BoOBf29n4OTkZPnZ3t7+jv47d+7M4cOHqVKliqW/f7i4uKT7/aOPPuLPP/9k69atVrk3ERERkexExbw8FJPJxLRp06hevTqBgYGsWLGChIQEUlNT6d27N+vWrctU/zdu3OD8+fP079+fJk2aEBERgdF474dUq1WrRkhICJ9++imJiYmZuraIiIhIdqNpNnJfV69epU2bNkBaMV+xYkUmT55M/vz5OXHiBO3bt8doNNKoUSP8/f25dOnSI18rf/78tGvXjtatW+Pq6kqNGjW4detWhoV6nTp1qFu3Ll988QUffvjhI19bREREJLsxmP89/0EkB9HSlCIi6fX3L6addK1AOxJbh/KYxs7OkOHeOBqZlxzrjRbutg5BRCRL0aZRItmPinnJsaKj4zGZ9D+uzNCoiXUoj5mnHFqHdtEVyX5UzEuOldFXVvLg9D9/61AeM085zDyNzItkPyrms7j4+HgmT57Mvn37sLe3x83NjWHDhlG5cmWr9B8ZGUlwcDCbNm3KsJ2XlxcuLi44OjoCEBcXR5UqVRg3bhy5c+e2SiwAw4YNo06dOpa16/8RGhrK3r17GTduHD179mTUqFEULVo0U9f6ee114hNNmepDRORp0jOgiK1DEJGHpGI+CzOZTPTs2ZO6desSFhaGg4MDu3fvpmfPnqxevZoCBQo80Xi+++47SpYsCaStNd+5c2fCwsLo3LnzE41j5syZT/R6IiIiIlmV1pnPwvbs2cPVq1fp168fDg5pn7s8PT0ZO3YsJpOJOXPm0KZNG9q0aUOLFi2oVKkS165d48KFC3Tv3h1/f386derEsWPHALh06RLBwcH4+Pjw2muvceLECSBt59aBAwfi4+ND586d+fvvv+8bW1xcHHFxceTPnx+Abdu28dprr9G2bVv69Olj6cPLy4tRo0bRtm1b2rZta4klKCiIPXv2AGnfDnh5eVn63rJlCwEBAfj6+vLLL7/ccW0vLy8iIyO5ffs2H374IS1atMDHx+eubUVERESeZhqZz8KOHTtG1apVsbNL/5mrSZMmAAQHBxMcHIzZbKZPnz60a9cOd3d3OnbsyIgRI6hUqRKnT5+2bOb06aef0qJFC15//XW2bt3KjBkzGDx4MDExMXTv3p1q1arRr18/fvnlF15//fU74nnrrbewt7cnOjqaYsWK0aVLF7y9vYmJiWHy5MnMmTOHfPnysXDhQiZNmsTo0aOBtLXjw8LC2LRpE0OHDmXlypUZ3ndSUhKLFy8mOjqawMBAateufdd2c+fOJTExkTVr1hAdHU23bt1o3rx5uh1mRURERJ5mKuazMDs7Ox5kG4Avv/wSJycn3nzzTRISEjh69CgffPCB5fXExET+/vtv9u3bx+effw6kfSBo0qQJkZGRFClShGrVqgFQrly5e47M/zPNZt26dYwdOxYvLy8MBgOHDh3i8uXLBAcHA2nTg/Lly2c5r3379kDaiPqwYcOIiYnJ8H78/f1xcHCgaNGi1KhRg0OHDt213b59+2jfvj12dna4u7uzevXq++ZKRERE5GmiYj4Lq1KlCgsWLMBsNmMwGCzHP//8c+rXr4+npydr1qxh8+bNLFy4EEgrpJ2cnFixYoWl/ZUrV8ifP79lqg6A2WzmzJkzuLi4pDtuMBju+wGiRYsWREREMGLECGbNmoXRaOTFF1/km2++AeD27dskJCRY2v+7f5PJhL29vSUGgNTU1HT9//P6P23+eej2v/7dL8CFCxd45plnNDIvIiIiOYbmzGdhtWrVolChQkyfPh2jMW2n0u3btxMaGkq5cuU4fvw4EyZMYPr06eTKlQuAvHnz8uyzz1qK+YiICMuUmVq1allGr3fu3MnHH3/8yLH179+fAwcOsHnzZqpXr87Bgwc5d+4cAF9//TUTJkywtP3nmhs2bMDDw4N8+fJRoEABTp8+DcDGjRvT9b169WrMZjOXLl3iyJEjVK1a9a4x1K5dmzVr1mA2m4mOjqZLly4kJyc/8j2JiIiIZDcamc/CDAYDX3/9NWPHjsXHxwcHBwcKFCjAd999R+HChRkyZAipqan079/fUux//PHHTJw4kZCQEL7//nscHR2ZMmUKBoOBESNGMHz4cBYsWECuXLkYNWrUI8dWqFAhevbsyYQJE1i5ciVjxoxhwIABmEwmihYtysSJEy1tf/vtN5YuXUquXLkYN24cAG+++SbDhg1j2bJlNGvWLF3fuXPnJiAggNTUVD777DMKFix41xg6d+7MqFGj8PPzs9y7q6vWjhcREZGcw2B+kEnZIo/Iy8uLOXPmWJa0zEq0zryISHo9A4poJ10r0I7E1qE8prGzM2S40aVG5iXH6tSysK1DEBHJUrQDrEj2o2JeHqv77SxrS9HR8ZhM+h9XZmjUxDqUx8xTDq3D3T2vrUMQkYekYl5yrIy+spIHp//5W4fymHnKYeYZNTIvku2omJeHEhkZSXBw8B0j7hUqVODkyZM2iurRhK6NJkFz5kVELIIC3G0dgog8JC1NKSIiIiKSTWlkXqwmNDSUvXv3WpafDAoKok+fPgB8++23uLi4cObMGSpUqMCkSZNwcnJizpw5zJs3j7x58/Lcc89RunRp+vbty7x581ixYgVJSUkYDAa++OILPDw88PLyolq1ahw/fhxPT0/y5cvHe++9B8AHH3xAo0aNaNWqlc1yICIiIvIkqZiXh3b16lXatGnzUOccOHCANWvWUKRIEdq3b8+OHTsoXrw48+fPJzQ0FEdHR4KCgihdujTx8fFs3LiRuXPn4uLiwpdffsmCBQssm1w1btyYL774gosXL9K1a1cGDhxIUlISu3bt4tNPP30ctywiIiKSJamYl4dWpEgRyw6z/6hQoUKG55QvX55ixYoB4OHhQWxsLBcuXKBp06aWjZ5at27NzZs3cXV1ZfLkyaxevZrz58+zfft2KlasaOmrevXqAJQqVYoSJUqwb98+/vrrL5o0aYKTk5M1b1VEREQkS9OcebEag8HAv/cgS0lJsfzs7Ox8Rzs7OztMpjsfQL18+TIdOnQgLi6Oxo0b4+/vn67ff/cVGBjIqlWrWLVqFQEBAda+JREREZEsTcW8WE2BAgU4c+YMZrOZixcv3nd1m3r16rF161bi4+NJTk5m/fr1GAwGjhw5QpkyZejWrRvVq1dn27ZtGI3Gu/bRsmVLdu3axfXr1y0j9iIiIiI5habZiNXUr1+fZcuW0bJlS8qWLctLL72UYfvnn3+e4OBgOnToQO7cuSlQoADOzs40aNCAn3/+mVatWuHk5ES1atU4derUXftwcXGhRo0aPP/884/jlkRERESyNIP53/MXRJ6gc+fOsXXrVrp16wbAO++8Q7t27fDy8nqg881mMwkJCXTo0IEff/wRd/eHWx9Z68yLiKQXFOCunXStQDsSW4fymMbOzpDhRpcamRebKVGiBEeOHMHHxweDwUDDhg1p2rTpA59/5MgR3nzzTXr37v3QhTxAQMtCD32OiMjTTDvAimQ/GpmXHCs6Oh6TSW//zNCoiXUoj5mnHFqH8mgdyqN1KI9pNDIvcg8Z/cOQB+funtfWITwVlMfMUw4zTyPzItmPinmxigoVKtx39Zq7GTZsGHXq1Mn0spJ79uxh+vTpzJ0794HPWb0mhkTNmRcRsWgXWNjWIYjIQ9LSlCIiIiIi2ZRG5sWqzGYzkyZNYuPGjdjb29OhQwe6du3KhQsXCAkJ4caNG7i4uPDxxx9TqVKldOdOmTKFXbt2ERsbS4ECBZg2bRru7u40bNiQFi1a8Ouvv2Jvb88XX3xBqVKl2LFjB2PHjsXZ2ZmyZcva6I5FREREbEcj82JVa9eu5bfffmPlypUsWbKE0NBQrl27xtChQxk8eDDLly9n5MiRDBw4MN15Fy5c4OzZsyxcuJB169ZRunRpVq5cCcC1a9eoV68eYWFh1K5dm/nz55OcnMywYcOYOnUqoaGhuLi42OJ2RURERGxKI/NiVfv27cPb2xsnJyecnJxYsWIFCQkJHD16lA8++MDSLjExkb///tvye5kyZRg6dChLlizh3LlzHDx4kNKlS1teb9SoEQDly5dn//79nDx5kiJFiuDh4QGAv78/X3755RO6SxEREZGsQcW8WJWDQ/q3VGRkJPny5bMU9v+4cuUK+fPnt/x+9OhR3n//fbp160aLFi2ws7Pj36umOjs7A2AwGDCbzRgMBkym/3941d7e/jHdkYiIiEjWpWk2YlW1a9dmw4YNpKSkkJSUxJtvvsn169d59tlnLcV8REQEr7/+errz9u3bR506dejUqRPlypUjIiICo9F4z+tUqFCB6OhoTpw4AcDq1asf302JiIiIZFEamRereuWVVzh69CgBAQGYTCaCg4MpW7YsEydOJCQkhO+//x5HR0emTJmCwWCwnNeqVSv69OmDr68vjo6OVKhQgcjIyHtex9HRkc8//5zBgwfj4OBwx8O0IiIiIjmBdoAVERERIG3TqJiYeFuHke1p51LrUB7TaAdYkXuIjo7HZNJn2czQH1rrUB4zTzm0Du2iK5L9aM68iIiIiEg2pZF5ybEy+spKHpxG8qxDecw85TDzjEZ9WymS3aiYF6uIj49n8uTJ7Nu3D3t7e9zc3Bg2bBiVK1fOVL9xcXEMHTqUr7/+mqioKIYPH87MmTOtEvP61TEkJZru31BEJIdo066wrUMQkYekYl4yzWQy0bNnT+rWrUtYWBgODg7s3r2bnj17snr1agoUKPDIfcfGxlqWnyxatKjVCnkRERGRp4HmzEum7dmzh6tXr9KvXz/LplGenp6MHTuWXbt28dprrxEQEMDQoUNJSkri/fffx8fHB19fX8LCwoC0kf1+/frRoUMHmjZtyuDBgzGbzYwaNYqrV6/Su3dvIiMj8fLyAuCPP/4gKCiIwMBAmjZtypw5c2x1+yIiIiI2o5F5ybRjx45RtWpV7OzSfzZs0qQJe/bs4fz582zevJm8efMyYcIEChQowKpVq4iJiaFdu3a88MILnD59mooVKzJ16lSSk5Np3bo1v//+O8OHDyc4OJivvvoq3brzS5Ys4d1336VevXpcvHgRPz8/goODn/Sti4iIiNiUinnJNDs7OzLarqBs2bLkzZv2YNru3bsZM2YMAAULFqRZs2bs3buX4OBgDh8+zI8//sjZs2e5ceMGiYmJ5M+f/659Dhs2jO3bt/Ptt99y8uRJEhMTrX5fIiIiIlmdptlIplWpUoVjx47dUdB//vnnmM1mXFxcLMf+28ZsNmM0Gpk7dy4TJkygYMGCdOnSBQ8Pjww/IAwYMIANGzbg4eHBwIEDrXtDIiIiItmEinnJtFq1alGoUCGmT5+O0WgEYPv27YSGhhITE5OuraenJ0uXLgUgJiaG//3vf9SpU4eIiAg6dOiAn58fBoOBEydOYDKZcHBwIDU19Y5rRkRE0K9fP5o3b86+ffsALNcWERERySk0zUYyzWAw8PXXXzN27Fh8fHxwcHCgQIECfPfdd8TFpd+RsXfv3oSEhODr64vRaKRXr15UrlyZrl27EhISwg8//ECePHmoWbMmkZGR1KpVi+LFixMUFMTYsWMt/fTt25fOnTvj5uZG2bJlKVGiBJGRkZQpU+ZJ376IiIiIzRjMGc1lEBERkRzDaDQTExNv6zCyPXf3vFy7Fnf/hpIh5TGNnZ0hw40uNTIvOVZ0dDwmkz7LZob+0FqH8ph5yqF1aBddkexHc+ZFRERERLIpjcxLjpXRV1by4DSSZx3KY+Yph5lnNOrbSpHsRsW83FWFChU4efLkA7efNm0akPZg6uN05MgRFi5cyOjRozPd15aVMSQlmqwQlYjI08G7Q2FbhyAiD0nFvGQrVatWpWrVqrYOQ0RERCRLUDEvGdqzZw/ffvstLi4unDlzhgoVKjBp0iScnJz4/vvvWbx4MQUKFMDNzY1q1aoBsHnzZr744gtMJhOlSpXis88+o3Dhwnh5eeHn58eOHTtISkpi/PjxVKlShQsXLhASEsKNGzdwcXHh448/plKlSqxcuZLvv/8ee3t7SpYsycSJEzl48CDTp09n7ty57N27lylTpnDr1i1iY2MZPHgw3t7eNs6YiIiIyJOjB2Dlvg4cOMCIESNYs2YNf/31Fzt27ODIkSMsW7aM5cuXM3v2bK5cuQJAdHQ0I0aM4KuvvmLlypW8+OKLfPbZZ5a+8ufPz9KlS+nYsSPffvstAEOHDmXw4MEsX76ckSNHWnZ0/eKLL/jhhx8IDQ2lbNmynD17Nl1c8+bNY9SoUSxfvpzRo0fz9ddfP6GMiIiIiGQNGpmX+ypfvjzFihUDwMPDg9jYWM6dO0eTJk3IkycPAC1btsRkMnH48GGqVatGyZIlAejQoQPfffedpa9GjRpZ+ly/fj0JCQkcPXqUDz74wNImMTGRv//+m6ZNm9KpUyeaNWtGixYtqFixInv27LG0mzhxIps3b2bt2rUcOnSIhISEx54LERERkaxExbzcl7Ozs+Vng8GA2WzGYDBgMv3/w6MODg4kJyenOwZgNptJTU29oy+DwQCAyWTCycmJFStWWNpcuXKF/PnzM3z4cE6cOMHWrVsZPHgwffr0sXyoAOjcuTN169albt261KtXj0GDBln3xkVERESyOE2zkUdSr149tmzZQlxcHLdv32bDhg0AVK9enUOHDhEZGQnAokWLqFu37j37yZs3L88++6ylmI+IiOD1118nNTWVV199lQIFCvD222/Tpk0bjh8/bjnvxo0bnD9/nv79+9OkSRMiIiIwGo2P8Y5FREREsh6NzMsjqVixIl27duW1117Dzc2N4sWLA1C4cGE+++wz+vTpQ0pKCsWLF7/vMpITJ04kJCSE77//HkdHR6ZMmYKjoyP9+vWje/fuuLi44Obmxvjx4zl//jyQNve+Xbt2tG7dGldXV2rUqMGtW7dITEwkd+7cj/v2RURERLIEg9ls1g4RIiIigtFoJiYm3tZhZHvu7nm5di3O1mFke8pjGjs7Q4YbXWpkXnKs6Oh4TCZ9ls0M/aG1DuUx85RD69AuuiLZj4p5ybEy+pQrD07/87cO5THzlMPMMxo1wCGS3aiYF5urUKECJ0+eJC4ujqFDh953vfh/2mfWjhXR3Eow3b+hiEgO0byzu61DEJGHpNVsJMuIjY3lxIkTtg5DREREJNtQMS9ZxqhRo7h69Sq9e/cGYMqUKbRv354WLVrQsWNHrl27ZmlrMpnw8vLi3LlzQNpGU02aNOH27ds2iV1ERETEFlTMS5YxfPhwihQpwldffcWFCxc4e/YsCxcuZN26dZQuXZqVK1da2trZ2dG2bVvCw8MBWL9+PS+//HK6Da5EREREnnYq5iVLKlOmDEOHDmXJkiWMGzeOgwcPkpiYmK5NQEAAq1atAmD58uUEBATYIlQRERERm1ExL1nS0aNH6dGjByaTiRYtWtC8eXP+uyVCyZIlKV68OOvXryc6Oprq1avbKFoRERER21AxL1mGg4MDqampAOzbt486derQqVMnypUrR0REBEaj8Y5zAgMDGTVqFH5+fk86XBERERGbUzEvWUahQoUoXrw4QUFBtGrVihMnTuDr60vXrl2pUKECkZGRd5zz6quvEhsbS5s2bWwQsYiIiIhtaZ15sbl/1ox3dHRk4cKFluNLlizJsL3ZbGbPnj3Uq1ePokWLPv5ARURERLIYFfOSbY0ZM4bNmzczc+bMRzq/YZtCVo5IRCR70w6wItmPwfzfpwpFcojo6HhMJr39M8PdPS/XrsXZOoxsT3nMPOXQOpRH61AerUN5TGNnZ6BQIdd7vq6RecmxMvqHIQ/O3T2vrUN4KiiPmaccZp5JI/Mi2Y6KeXkiQkND2bt3L+PGjbN1KBZ7lkdzO8Fk6zBERLKMxl3cbR2CiDwkrWYjIiIiIpJNaWRenqi9e/cyZcoUbt26RWxsLIMHD8bb25thw4ZhMBj4448/iI+P55133qFt27ZERUXx4YcfEhcXx7Vr12jdujWDBg0iNDSU7du3Exsby8WLF2nQoAEhISG2vj0RERGRJ0rFvDxR8+bNY9SoUXh4eLBr1y7GjBmDt7c3AFFRUSxcuJDo6GgCAgJo0KABq1atwsfHB39/f+Li4mjSpAlvvPEGAAcOHGDVqlXY29vTsmVLOnXqRIUKFWx5eyIiIiJPlIp5eaImTpzI5s2bWbt2LYcOHSIhIcHyWkBAAI6OjhQrVowXX3yRX3/9lR49erB7925mzZrFqVOnSElJISkpCYCaNWvi6pr2EGupUqWIjY21yT2JiIiI2IrmzMtjs3//fqKiooC0DZ7s7e3p3Lkzhw8fpkqVKvTq1Stde3t7e8vPJpMJBwcHxo0bx9y5cylevDjvvPMOBQoU4J/VVJ2dnS3tDQYDWmVVREREchoV8/LYLFu2jI0bNwJpu7aWKlWK8+fP079/f5o0aUJERARGo9HSfs2aNZjNZi5dusThw4d56aWXiIiIoEePHnh7e3P58mWioqIwmbQCjYiIiAhomo08Rm+99RZDhgxh3rx5FCtWjC+++IIbN27QunVrXF1dqVGjBrdu3SIxMRGAW7duERgYSHJyMp999hkFChTg7bffZsiQIbi5uVGoUCGqVKlCZGSkje9MREREJGvQDrCSJQwbNow6deoQEBDwxK6pdeZFRNJr3MVdO25agXYutQ7lMY12gBW5h7r+hWwdgohIlqIdYEWyH43MS44VHR2PyaS3f2Zo1MQ6lMfMUw6tQ3m0DuXROpTHNBqZF7mHjP5hyINzd89r6xCeCspj5imHmaeReZHsR8W8WN2ePXvo1asXpUuXxmw2k5KSgp+fH++8885ju+ZHH31Ex44dqVq16gOf89tSzZkXEfm3el3dbR2CiDwkFfPyWFSpUoW5c+cCkJCQQKtWrXjllVcoV67cY7ne6NGjH0u/IiIiIlmZ1pmXx+7WrVvY29uTN29evLy8GDBgAC1atODw4cN4eXlZ2k2bNo1p06YB0LBhQ0aOHEnbtm0JDAzk4sWLABw+fJhOnTrh7+/PG2+8YTkeFBTEnj17nvzNiYiIiNiQinl5LI4ePUqbNm3w9fXFy8uLOnXqUKRIEQAaN27MunXrKFiw4D3Pv3btGvXq1SMsLIzatWszf/58kpOTGT58OJMnT2b58uV0796djz/++EndkoiIiEiWo2k28lj8d5pNr169+O677wCoXr36A/XRqFEjAMqXL8/+/fs5f/48Fy9eTDf3Pj4+3sqRi4iIiGQfKublscuTJw/Nmzdn586dADg7OwNgMBj498qoqampODj8/1vyv+1MJhMlS5ZkxYoVABiNRq5fv/6kbkNEREQky9E0G3nsjEYje/fupVKlSumOu7m5ERsbS0xMDMnJyWzfvj3Dfp577jliY2PZv38/AMuWLWPQoEGPLW4RERGRrE4j8/JY/DNnHiApKYmqVavSs2dPy6g6QN68eenRowevvfYaxYoVu++ykk5OTnz55ZeMHj2a27dv4+rqyvjx4x/rfYiIiIhkZdoBVnIsrTMvIpJeva7u2nHTCrRzqXUoj2m0A6zIPbz4WiFbhyAikqVoB1iR7EfFvORY0dHxmEz6H1dmaNTEOpTHzFMOrcPdPa+tQxCRh6RiXnKsjL6ykgen//lbh/KYecph5plSNcAhkt2omBer++OPP/D19WXq1Km0aNHC1uHc0+HF10mO15x5EZF/1HqjiK1DEJGHpKUpxepCQ0Np0aIFCxcutHUoIiIiIk81jcyLVaWmphIeHs78+fPp2LEjf/75J3Z2dvTu3dvS5ty5c/Tv35/u3bszZswYdu3ahcFgwM/Pj7feeos9e/YwceJETCYT5cuXZ8SIEXz22WecOnUKo9FIz5498fHx4cSJE4wYMYLU1FScnZ0ZO3Yszz77rO1uXkREROQJUzEvVrVlyxaKFy9O2bJlad68OQsXLmTIkCGW9eXXr1/Pt99+S5cuXfj555+5fPky4eHhJCcnExQUxPPPP0+uXLk4f/48mzdvJm/evEyaNInKlSszfvx44uPj6dixI9WrV+enn36ie/fueHt788svv3Dw4EEV8yIiIpKjaJqNWFVoaCg+Pj4AtGrViuXLl5OcnAzAiRMnGD9+PNOmTcPZ2Zk9e/bg7++Pvb09uXLlwtfXl127dgFQtmxZ8uZNe5ht586dLFy4kDZt2vD666+TmJjIqVOnaNKkCSNHjuTDDz/E0dERX19f29y0iIiIiI1oZF6sJjo6mm3btnH06FHmzJmD2Wzm5s2brF+/nvr169OvXz/GjBlD8eLFATCZ0j98ajabMRqNALi4uFiOm0wmJk6cSOXKlQG4fv06+fLlw9HRkZo1a7J582Z++ukntm7dyqhRo57Q3YqIiIjYnkbmxWrCw8Px9PRk27ZtbNq0ic2bN9OrVy/mzZtH//79CQoKom7dupb2np6ehIWFYTQaSUpKYuXKlele/3e7n3/+GYCrV6/i5+fH5cuXGTBgAIcPH6Zjx47079+fY8eOPbF7FREREckKNDIvVhMaGsrAgQPTHevcuTNfffUVDg4OJCUlsWzZMsxmM/Xr1+e9997j/PnztGnThpSUFPz8/HjllVfYs2dPuj769OlDSEgIPj4+GI1GBg8eTOnSpenVqxcfffQRX3/9Nfb29gwbNuxJ3q6IiIiIzRnMZrN2iBARERFMqWai/463dRjZnnYktg7lMY2dnSHDjS41Mi85VnR0PCaTPstmhv7QWofymHnKoXVoF12R7Edz5kVEREREsimNzEuOldFXVvLgNJJnHcpj5imHmWdK1beVItmNinnJ0B9//IGvry9Tp06lRYsWj/VaixYtIk+ePPj4+PDll19SpUoVmjVr9tiud+zn66TEm+7fUEQkh6jes4itQxCRh6RpNpKh0NBQWrRowcKFCx/7tQ4cOGDZYKp///6PtZAXEREReRpoZF7uKTU1lfDwcObPn0/Hjh35888/KV26NF5eXlSrVo3jx4+zYMECVq9ezbx588ibNy/PPfccpUuXpm/fvmzbto2pU6eSmppKyZIlGTlyJAUKFMDLyws/Pz927NhBUlIS48eP5+bNm2zatIndu3fj7u7O6tWrqVOnDnXq1KFPnz6UL1+e48ePU6hQIb788kvy58/PvHnzWLFiBUlJSRgMBr744gs8PDxsnTYRERGRJ0Yj83JPW7ZsoXjx4pQtW5bmzZunG51v3Lgx69at49q1a8yfP5/Q0FAWLFjAhQsXAIiJiWHy5MnMmjWLsLAwGjZsyKRJkyzn58+fn6VLl9KxY0e+/fZb6tevj5eXF/369aNRo0bp4jhx4gTdu3dn1apVuLm5sXLlSuLj49m4cSNz585l1apVNG/enAULFjyZxIiIiIhkERqZl3sKDQ3Fx8cHgFatWjFo0CAGDBgAQPXq1QHYtWsXTZs2xdU17WHS1q1bc/PmTQ4dOsTly5cJDg4GwGQykS9fPkvf/xTs5cuXZ/369RnGUahQISpVqmRpHxsbi6urK5MnT2b16tWcP3+e7du3U7FiRevdvIiIiEg2oGJe7io6Oppt27Zx9OhR5syZg9ls5ubNm5bC29nZGQA7OztMpjsfIjUajbz44ot88803ANy+fZuEhATL6/+cbzAY7hvLP23/aW82m7l8+TJBQUF06dKFxo0bU7hwYY4fP/7oNywiIiKSDWmajdxVeHg4np6ebNu2jU2bNrF582Z69erFokWL0rWrV68eW7duJT4+nuTkZNavX4/BYKB69eocPHiQc+fOAfD1118zYcKEDK9pb2+P0Wh8oPiOHDlCmTJl6NatG9WrV2fbtm0PfK6IiIjI00Ij83JXoaGhDBw4MN2xzp078/3331um1AA8//zzBAcH06FDB3Lnzk2BAgVwdnbG3d2dMWPGMGDAAEwmE0WLFmXixIkZXrN+/fp8/vnn5M17/7WiGzRowM8//0yrVq1wcnKiWrVqnDp16tFuVkRERCSbMpjNZu0QIY/s3LlzbN26lW7dugHwzjvv0K5dO7y8vGwbmIiIPDRTqpnov+NtHUa25+6el2vX4mwdRranPKaxszNkuNGlRuYlU0qUKMGRI0fw8fHBYDDQsGFDmjZtauuwHkh0dDwmkz7LZob+0FqH8ph5yqF1aBddkexHxbxkipOTE5MnT7Z1GCIiIiI5kop5sZrIyEiaNWtGhw4d+OyzzyzHjx8/Ttu2bRk7diwBAQF3PdfLy4s5c+ZQsmTJR7r2kSNHWLhwIaNHj37gczL6ykoenEbyrEN5zDzlMPNMqfq2UiS7UTEvVpU/f362b9+O0WjE3t4egF9++YWCBQs+1utWrVqVqlWrPtQ5p+ZdIyXuzmU1RURyqkrvFLV1CCLykLQ0pVhVnjx5qFixIvv27bMci4iIoH79+gDMmzePdu3a4ePjg6+vL2fOnEl3fnx8PP369aNDhw40bdqUwYMHYzab07V9//33+eSTTwA4ePAgPXv2ZM+ePQQFBT2huxQRERHJGlTMi9V5e3uzbt06AA4fPkyFChVwdHQkPj6ejRs3MnfuXFatWkXz5s1ZsGBBunO3bNlCxYoVWbRoEevWrePgwYP8/vvvNGnShF27dgHwxx9/8NtvvwGwbds2Xn755Sd6fyIiIiJZhYp5sbqmTZuybds2TCYTa9aswdvbGwBXV1cmT57M6tWrmTx5Mps3byYxMTHduT4+PjRo0IAff/yRUaNGcePGDRITE3n55ZfZtWsXp0+fply5ctjZ2Vl2qc0uq+eIiIiIWJuKebE6V1dXXnjhBX799Vd2795tmWJz+fJlOnToQFxcHI0bN8bf35//bnMwd+5cJkyYQMGCBenSpQseHh6YzWZq1qzJ8ePH2blzJ3Xq1KF27dqsXbuWlJQUihcvbovbFBEREbE5FfPyWHh7ezN58mSqVKmCg0Pac9a5c+emTJkydOvWjerVq7Nt2zaMRmO68yIiIujQoQN+fn4YDAZOnDiByWTC3t6e6tWrM3fuXOrUqYOnpyfffPMNTZo0scXtiYiIiGQJWs1GHoumTZvy0Ucf0b9/f8sxR0dHTCYTrVq1wsnJiWrVqnHq1Kl053Xt2pWQkBB++OEH8uTJQ82aNYmMjASgSZMm7Nu3Dw8PD9zd3YmOjtZ8eREREcnRDOb/znMQySG0NKWISHqV3imqnXStQDsSW4fymMbOzpDh3jgamZccq3wXd1uHICKSpWjTKJHsR8W85FjR0fGYTPofV2Zo1MQ6lMfMUw6tQ7voimQ/KuYlx8roKyt5cPqfv3Uoj5mnHGaeRuZFsh8V85IpkZGRNGvWjB9++IEGDRpYjnt5eTFnzhxKlixpw+gydv7Ha6RqzryIiEW5vkVtHYKIPCQtTSmZ5ujoyMcff0x8fLytQxERERHJUVTMS6YVKVKE+vXrM378+Dte++abb2jVqhW+vr6MGzcOo9FIZGQkLVu2pFOnTgQFBVGvXj3LB4GOHTvy3XffAbB69WpCQkKIj4+nX79+dOjQgaZNmzJ48GDMZjODBw9m0aJFlmsFBQVx6NChJ3PTIiIiIlmAinmximHDhrFjxw4iIiIsx7Zu3cqmTZsIDQ1l+fLlXLhwgYULFwJw7tw5Jk6cyNy5c/H09GTfvn0kJCRw6dIl9u3bB8C2bdto2rQpW7ZsoWLFiixatIh169Zx8OBBfv/9dwIDAwkPDwfg0qVLxMTEUL169Sd/8yIiIiI2omJerMLV1ZWRI0emm26zZ88eWrdujYuLCw4ODgQGBrJr1y4AChUqZJlP36RJE3bt2sX+/fvx8/Pj9OnTpKSksH//fjw9PfHx8aFBgwb8+OOPjBo1ihs3bpCYmEjdunW5evUqkZGRhIWF0aZNG5vdv4iIiIgt6AFYsZqGDRumm25jMt35cGlqaioALi4ulmONGzdm9uzZ2NvbU69ePc6ePcvSpUspX748zs7OzJ07l3Xr1tG+fXvq16/PH3/8gdlsxmAw0LZtW1avXs3atWv5/vvvn8yNioiIiGQRGpkXq/pnus3Vq1fx9PRk9erV3Lp1i9TUVJYtW4anp+cd5xQsWBAXFxc2b97MSy+9hKenJ19//TVNmzYFICIigg4dOuDn54fBYODEiROWDwoBAQEsXLiQYsWKUbSoVmEQERGRnEXFvFjVP9NtUlJSePnll3n55ZcJDAykdevWlChRgi5dutz1vMaNG+Pm5kaePHnw9PTk6tWrvPzyywB07dqV6dOn4+/vz6effkrNmjWJjIwE4JlnnuGZZ57B39//Sd2iiIiISJZhMJvN2iFCsiWz2czVq1cJCgpi1apVODk5PdT5WmdeRCS9cn2LaiddK9COxNahPKaxszNkuNGl5sxLtrVu3TpCQkIICQl56EIe4Nlu7o8hKhGR7Es7wIpkPxqZlxwrOjoek0lv/8zQqIl1KI+Zpxxah/JoHcqjdSiPaTQyL3IPGf3DkAfn7p7X1iE8FZTHzFMOM8+skXmRbEfFvNxXamoqM2fOJDw8HIPBgNFoxN/fn7fffhuDwWDr8B7Zpe+vYbxptHUYIiJZRun3itk6BBF5SCrm5b4+/fRTrl+/zqJFi3BzcyM+Pp7evXuTN29eXn/9dVuHJyIiIpJjqZiXDF25coXw8HC2bduGm5sbkLb85IgRIzh9+jTXr19nxIgRXLlyBYPBwPvvv0/9+vWZNm0aBw8e5PLly7z++uusXbuWihUrsmvXLm7dusXw4cOZO3cup0+fplu3bnTr1o2oqCg+/PBD4uLiuHbtGq1bt2bQoEGEhoayfft2YmNjuXjxIg0aNCAkJITBgwdTq1YtOnToAEBQUBCDBg2ievXqtkyZiIiIyBOjYl4ydPjwYTw8PMiXL1+64x4eHnh4eDBw4EACAwNp1qwZV69epXPnzoSFhQGQnJzML7/8AsDatWsBWLlyJdOnT2fUqFGEh4cTExND27Zt6datG6tWrcLHxwd/f3/i4uJo0qQJb7zxBgAHDhxg1apV2Nvb07JlSzp16kRgYCDTpk2jQ4cOXLp0iZiYGBXyIiIikqOomJf7+ve8+LVr1zJjxgxMJhNOTk5ERkZy9uxZpk6dCqTNr7948SIA1apVS9dP48aNAShevDjVq1cnV65clChRgps3bwLQo0cPdu/ezaxZszh16hQpKSkkJSUBULNmTVxd0x5YLVWqFLGxsdStW5ePP/6YyMhIVqxYQZs2bR5vIkRERESyGBXzkqHKlStz5swZ4uPjcXV1pWXLlrRs2ZLIyEiCg4MxmUz89NNP5M+fH4CoqCgKFy7Mxo0bcXFxSdeXo6Oj5WcHhzvfeuPGjePixYv4+PjQvHlzdu7cyT8rpzo7O1vaGQwGzGYzBoOBtm3bsnr1atauXcv333//GDIgIiIiknXZ2ToAydpKlCiBn58fQ4cOtYygG41GtmzZgp2dHZ6enixYsACA06dP4+fnZxlNf1gRERH06NEDb29vLl++TFRUFCZTxju0BgQEsHDhQooVK0bRokUf6boiIiIi2ZVG5uW+QkJCmD17NsHBwZjNZpKTk6lRowYzZ84kd+7cjBgxAl9fXwAmTJhgmQ7zsN5++22GDBmCm5sbhQoVokqVKkRGRmZ4zjPPPMMzzzyDv7//I11TREREJDvTDrCSbZnNZq5evUpQUBCrVq3Cycnpoc7XOvMiIumVfq+Ydty0Au1cah3KYxrtACtPrXXr1hESEkJISMhDF/IAJd50fwxRiYhkX9oBViT70ci85FjR0fGYTHr7Z4ZGTaxDecw85dA6lEfrUB6tQ3lMo5F5kXvI6B+GPDh397y2DuGpoDxmXlbPoTHZSExsoq3DEJGnjIp5eSidO3emc+fO+Pj4WI4lJiZSs2ZNGjduzMyZM+957uHDh1m3bh2DBw9+EqHe19UZVzVnXkSemGeGPmPrEETkKaSlKeWhBAQEsGrVqnTH1q9fT4sWLTIs5CFt6cro6OjHGZ6IiIhIjqKReXko3t7eTJgwgRs3blg2igoPD6d58+Z4eXmxadMmrl+/zogRI7hy5QoGg4H333+fKlWqMHXqVBITE5kxYwZFixZl+/btxMbGcvHiRRo0aEBISAipqamEhIRw6tQprl+/TtmyZZk+fTrXr1+nd+/elCpVij/++IMqVapQp04dli9fTmxsLF999RUeHh62TY6IiIjIE6aReXkoefLkoVmzZqxduxZI2/H13LlzNGrUyNJm9OjRBAYGEhoayowZMxgxYgR2dnb069cPLy8v3nnnHQAOHDjA1KlTCQ8PZ/PmzZw8eZIDBw7g6OjIokWL2LBhA7dv32br1q0AnDx5knfffZe1a9dy5MgRLl26xKJFi/Dx8WHRokVPPhkiIiIiNqaReXlogYGBfPHFF3Ts2JGVK1fi5+eHwWCwvL5z507Onj3L1KlTAUhNTeXixYt39FOzZk3LBlOlSpUiNjaWOnXqkD9/fubPn8/Zs2c5f/48iYlpD4wVLlyYSpUqAVCsWDHq1asHQPHixe+7uZSIiIjI00jFvDy0WrVqce3aNS5fvkx4eDjTp09P97rJZOKnn36yTMOJioqicOHCHD9+PF07Z2dny88GgwGz2cz//vc/pk6dSnBwMAEBAfz999/8s3rqf9eSt7e3fwx3JyIiIpJ9aJqNPBJ/f39mzJhBvnz5KF26dLrXPD09WbBgAZD20Kufnx9JSUnY29uTmpqaYb+7du3C29ubwMBAChcuzL59+zAateKMiIiIyN2omJdH0rZtW5YtW0ZgYOAdrw0fPpxDhw7h6+vLwIEDmTBhAq6urlSrVo1Dhw4xadKke/bbrl07Vq9eTdu2benbty81atTQFBoRERGRe9AOsCIiIk9Adtg0SjtuWofyaB3KYxrtACtyD9HR8ZhM+iybGfpDax3KY+YphyKSU2majYiIiIhINqWRecmxMvrKSh6cu3teW4fwVFAeMy+r5zA7TLMRkexHxbxkyv79+xk5cmS6Y3/88Qfjxo2jTZs2j9RnZGQkwcHBbNq06Y7XevbsyahRoyhatOgj9f1v176NxHhTK+WIyJNRbHAZW4cgIk8hFfOSKbVq1WLFihWW33/88UfCwsJo2bLlY7nezJkzH0u/IiIiItmRinmxmv379zNjxgyWLFnCjRs3+PDDD4mLi+PatWu0bt2aQYMGERoaypYtW7h69SpXrlyha9eu/PXXX+zevZv8+fPz/fffA3D79m369+/PuXPnKF26NKNHjyZfvnx4eXkxZ84c8ufPz4cffkhUVBRXr16lVq1aTJgwId1OtCIiIiJPOz0AK1YRHR3Ne++9x+jRoyldujSrVq3Cx8eHxYsXEx4ezoIFC4iJiQHgyJEjfP/998yfP59x48bRuHFjVq5cCcD27dst/QUFBREeHk7p0qX56quv0l1vy5YtVKxYkUWLFrFu3ToOHjzI77///mRvWkRERMTGNDIvmWYymXj//fdp3bo1zZs3B6BHjx7s3r2bWbNmcerUKVJSUkhKSgLgxRdfxNXVFVfXtAdQ69WrB0CJEiW4efMmAGXLlqVWrVoA+Pn5MWzYsHTX9PHx4fDhw/z444+cPXuWGzdukJioB8tEREQkZ1ExL5k2ffp0UlJSeP/99y3Hxo0bx8WLF/Hx8aF58+bs3LmTf/Ync3R0THe+g8Odb8P/Hvvv73PnzmXdunW0b9+e+vXr88cff6D9z0RERCSn0TQbyZSIiAiWLFnClClT0hXcERER9OjRA29vby5fvkxUVBQmk+mB+z1z5gzHjh0DYOnSpdSvX/+O63bo0AE/Pz8MBgMnTpx4qP5FREREngYamZdM+fbbbzEajfTs2TPdcR8fH4YMGYKbmxuFChWiSpUqREZGPnC//8yT//PPP3n++ecZOHBgute7du1KSEgIP/zwA3ny5KFmzZoP1b+IiIjI08Bg1twEERGRxy47bBrl7p6Xa9fibB1Gtqc8WofymMbOzpDhRpcamZccKzo6HpNJn2UzQ39orUN5zDzlUERyKs2ZFxERERHJpjQyLzlWRl9ZyYNzd89r6xCeCspj5mX1HGaHaTYikv2omM+hIiMjCQ4OZtOmTemOV6hQgZMnTz626/63/08//ZRTp07x7bffkidPnsd23bu5NvMcxpupT/SaIpJzFXu/vK1DEJGnkIp5sZlRo0Zx9uxZZs6cSa5cuWwdjoiIiEi2o2Je7spkMjFmzBh27dqFwWDAz8+Pt956iz179vDtt9/i4uLCmTNnqFChApMmTcLJyYk5c+Ywb9488ubNy3PPPUfp0qXp27fvXfsfN24cZ8+etfQFcO7cOUaMGMGNGzfInTs3H330EdWqVWPYsGG4urry+++/ExUVRe/evQkMDCQuLo4hQ4bw559/UqpUKa5cucL06dMpWbLkk0yViIiIiM2omM/Brl69Sps2be762s8//8zly5cJDw8nOTmZoKAgnn/+eXLlysWBAwdYs2YNRYoUoX379uzYsYPixYszf/58QkNDcXR0JCgoiNKlS9+174kTJzJ79mx++uknSyEPMHjwYN566y1effVVDh48SP/+/Vm3bh0AV65cYcGCBfzxxx8EBwcTGBjIV199RdmyZZkxYwZHjhyhffv21k+SiIiISBamYj4HK1KkCCtWrEh3rEKFCgDs2bMHf39/7O3tyZUrF76+vuzatQsvLy/Kly9PsWLFAPDw8CA2NpYLFy7QtGlTXF3THipt3bo1N2/evOt1T58+zfjx4/nwww9ZsWIFefPmJSEhgT///JNXX30VgBo1apAvXz7Onj0LQIMGDTAYDDz//PPcuHEDSNsFdtKkSQBUrVrVEruIiIhITqGlKeWuTCZTut/NZjNGoxEAZ2dny3GDwYDZbMbOzu6Oc+5l2rRptG3blpo1a/LJJ59Y+v/v/mV3u6bBYLC8bm9vf8c5IiIiIjmJinm5K09PT8LCwjAajSQlJbFy5Urq1q17z/b16tVj69atxMfHk5yczPr169MV3v/m5OQEwCeffMJvv/3GsmXLcHV1pVSpUqxfvx6AgwcPcv36dcqXv/fqD/Xr12flypUAnDx5klOnTt3zmiIiIiJPI02zkbvq0KED58+fp02bNqSkpODn58crr7zCnj177tr++eefJzg4mA4dOpA7d24KFCiQbgT/btzc3Bg7diy9e/fmxRdfZOLEiYSEhDBt2jQcHR2ZNm2apfC/m3fffZcPPvgAX19fSpcuTeHChdPNwRcRERF52hnMmqcgVnDu3Dm2bt1Kt27dAHjnnXdo164dXl5ej+2aK1asoGTJkrz00kv89ddfdOnShY0bN2Jnpy+cRCTryQ6bRrm75+XatThbh5HtKY/WoTymsbMzZLjRpUbmxSpKlCjBkSNH8PHxwWAw0LBhQ5o2bfpYr/ncc8/xySefYDKZsLOz47PPPnuoQj46Oh6TSZ9lM0N/aK1Decw85VBEciqNzIuIiDwBGpnPOZRH61Ae02hkXh7Z2rVr+e6770hNTcVsNtOmTRvefPPNO9pFRUUxfPhwZs6cme74sGHDqFOnDgEBAZmKIzQ0lL179zJu3LhM9fNf174/hfFmilX7FBG5l2LvVbJ1CCLyFFIxL3cVFRXF+PHjCQ0NpUCBAiQkJBAUFETZsmVp1qxZurZFixa9o5AXERERkcdPxbzc1d9//01KSgq3bt0CIE+ePIwbN86yQo2XlxfVqlXj+PHjTJw4kQEDBrBp06YH6vuPP/5g5MiRJCYmEhMTQ/fu3QkODmbatGlERUVx4cIFLl26RLt27XjnnXfSnTtmzBiuX7/OxIkTWb9+PbNnz+bWrVvcvn2bUaNGUbt2besmQkRERCQLUzEvd/XCCy/QrFkzmjdvTsWKFalbty6+vr6UKVPG0qZx48Z88cUXREZGPlTfS5Ys4d1336VevXpcvHgRPz8/goODgbT14ufPn09cXBzNmzfn9ddft5w3bdo0rly5wueff47BYGDhwoV88803FCxYkKVLlzJr1iwV8yIiIpKjqJiXe/r0009599132bFjBzt27KB9+/ZMmjSJV199FYDq1as/Ur/Dhg1j+/btfPvtt5w8eZLExP9/IKxu3bo4OTlRqFAh8ufPT1xc2oMv27ZtIyYmhqVLl+LgkPa2/eqrr9i0aRPnzp1j7969WpJSREREchxVP3JXW7Zs4ZdffqFo0aIEBgYyZcoUhg8fztKlSy1t7rcp1L0MGDCADRs24OHhwcCBA9O99u8+DQYD/yy2VKJECUaOHMlnn32GyWQiISGBwMBAIiMjqV27NkFBQY8Ui4iIiEh2pmJe7srFxYXJkydbptCYzWZOnz5NxYoVM913REQE/fr1o3nz5uzbtw8Ao9GY4TkeHh60a9eOXLlyMX/+fM6fP4+dnR29evXC09OTbdu23bcPERERkaeNptnIXXl6etKnTx969epFSkra8o2NGjWid+/eD9XPJ598wsiRIy2/z5w5k759+9K5c2fc3NwoW7YsJUqUeOB59yEhIXTq1Illy5ZRsWJFvL29cXFxoXbt2vz1118PFZuIiIhIdqdNoyTH0jrzIvIkFXuvUpbfAEeb9FiH8mgdymMabRolcg/ub5a3dQgikoMYkzUVUESsT8W85FjR0fGYTPpiKjM0amIdymPmKYciklOpmJccK6OvrOTBubvntXUITwXlMfOsnUNjspGY2MT7NxQRsSEV85n06aef8ttvv5GSksKff/6Jh4cHAMHBwQQGBlraRUVFMXz4cGbOnHnPvn7++WcAOnXqlO54aGgoe/fuZdy4cQ8UU2RkJMHBwQ+8I+uDCgoKok+fPtStW9dyrF27diQnJxMbG0tiYiLPPPMMABMmTKBChQp39OHl5cWcOXMoWbKkVWN7FNdmHcOkOfMicg9FBz7aXhoiIk+SivlM+uSTT4D/L6BXrFhx13ZFixbNsJCHO4v47GDJkiXAw3/gEBEREZHMUzH/GHl5eVGtWjWOHz/OxIkTGTBgAJs2bWLYsGG4urry+++/ExUVRe/evQkMDGTatGkA9O3bl7CwMGbMmIGrqyslSpQgd+7cAKxZs4bZs2dz69Ytbt++zahRo6hduzbHjh3jo48+AuCFF164azx//PEHI0eOJDExkZiYGLp3705wcDDTpk0jKiqKCxcucOnSJdq1a8c777xDcnIyH330EUePHqVEiRL8/fffD3zvmzdv5osvvsBkMlGqVCk+++wzChcuDMD06dM5ceIEzs7OfPrpp7zwwgv3jC0uLo4hQ4bw559/UqpUKa5cucL06dMpXrw4Y8aMYdeuXRgMBvz8/Hjrrbcy859LREREJNvRplGPWePGjVm3bh0FCxZMd/zKlSssWLCAGTNmMGHChHSvRUVFMWnSJObPn8+iRYtISEgAwGQysXDhQr755hvCw8Pp2bMns2bNAmDo0KEMHjyY5cuX33MKy5IlS3j33XdZtmwZc+bMYcqUKZbXTp48yaxZs1iyZAnfffcdN2/eZO7cuUDaB4jhw4fz559/PtA9R0dHM2LECL766itWrlzJiy++yGeffWZ5vUyZMoSFhfHuu+8ybNiwDGP76quvKFu2LKtXr6Z3796cPHkSSJuSdPnyZcLDw1myZAnr169ny5YtDxSfiIiIyNNCxfxjVr363edcNmjQAIPBwPPPP8+NGzfSvXbgwAFq1qxJ4cKFcXBwwNfXFwA7Ozu++uorduzYwZdffsny5ctJSEggJiaGq1evUr9+fQACAgLues1hw4Zx+/Ztvv32W6ZMmUJi4v8/2FW3bl2cnJwoVKgQ+fPnJy4ujr179+Lt7Q3As88+S82aNR/ong8fPky1atUsHyo6dOjA7t27La+3a9cOgCZNmvDXX39x8+bNe8YWERFBmzZtAKhataplHv6ePXvw9/fH3t6eXLly4evry65dux4oPhEREZGnhYr5x8zZ2TnD4waD4Y7XDAYDJpPJ8ruDQ9psqISEBAIDA4mMjKR27doEBQVZ2v977y97e/u7XnPAgAFs2LABDw8PBg4ceM84/+nvXnHcz7/PATCbzaSmpt4zPkdHx3vGZm9vz932NbvbNYxGreEsIiIiOYuK+SzopZde4tChQ0RFRWEymfjll18AOH/+PHZ2dvTq1QtPT0+2bduG0WikQIECFC9e3DLNZNWqVXftNyIign79+tG8eXP27dsHkGEBXK9ePVatWoXJZOLSpUv89ttvDxR/9erVOXToEJGRkQAsWrQo3Qo4K1euBGDDhg0899xz5MqV656x1a9f39L+5MmTnDp1CoPBgKenJ2FhYRiNRpKSkli5cmW6a4iIiIjkBHoANgsqXLgww4cPp1u3buTKlYty5coBaQ+2VqxYEW9vb1xcXKhduzZ//fUXABMnTuSDDz7giy++oEaNGnftt2/fvnTu3Bk3NzfKli1LiRIlLAX33XTu3JlTp07h7e1NiRIleP755x84/s8++4w+ffqQkpJC8eLFGT16tOX18+fP06ZNG/LkyWNZ/eZesb377rt88MEH+Pr6Urp0aQoXLoyLiwsdOnSw9JOSkoKfnx+vvPLKA8UnIiIi8rQwmO82h0Eki1ixYgUlS5bkpZde4q+//qJLly5s3LgRO7vMf6mkdeZFJCNFB1bPcbvKaidd61AerUN5TGNnZ8hwo0uNzEuW9txzz/HJJ59gMpmws7Pjs88+s0ohD+Deo5JV+hGRp5MxWc/hiEjWp2JesrSqVasSGhr6WPqOjo7HZNIXU5mhURPrUB4zTzkUkZxKxbzkWBl9ZSUPzt09r61DeCooj5mX2Rwak43ExCbev6GISBaiYl4em9DQUPbu3Wt5yDWrufbDYUw3k20dhohkEUUH1LJ1CCIiD01LU4qIiIiIZFMq5uWxu3DhAt27d8ff359OnTpx7NgxIG1H2l69euHt7c2mTZsYP348fn5++Pv7M336dCBto6yhQ4cSEBBAmzZtLGvod+7cmR07dgBpG0a9+uqrREVF2eYGRURERGxExbw8dkOHDmXw4MEsX76ckSNHptvhNX/+/KxZs4YKFSqwbds2wsPDWbhwIefPn+f27dvMmDGDypUrExoayvz58/nmm2+4ePEigYGBhIeHA7B//35Kly5N0aJFbXWLIiIiIjahOfPyWCUmJnL06FE++OCDdMf+/vtvAKpVqwZA0aJFcXZ2pmPHjjRt2pQBAwbg7OzMzp07uXXrFsuWLbOc+89GVlOmTCEpKYnly5cTEBDw5G9ORERExMZUzItV7d+/n1KlSlG0aFHMZjN58uTBycmJFStWWNpcuXKF/PnzA+Di4gKAg4MDS5YsYe/evWzbto2OHTsyd+5cTCYTEydOpHLlygBcv36dfPny4ejoSOPGjVm7di27d+8mJCTkSd+qiIiIiM1pmo1Y1bJly9i4cSMAJ0+epEyZMjz77LOWYj4iIoLXX3/9jvOOHTtGly5dqF27NkOHDsXDw4Nz587h6enJzz//DMDVq1fx8/Pj8uXLAAQGBjJlyhQaNWqEk5PTE7pDERERkaxDI/NiVW+99RZDhgxh3rx5FCtWjC+++IJXXnmFkJAQvv/+exwdHZkyZQoGgyHdeZUqVaJGjRr4+PiQK1cuKlasSOPGjalTpw4hISH4+PhgNBoZPHgwpUuXBuCll17CYDAQGBhoi1sVERERsTmD2WzWFpiS7ZjNZv744w+GDh1KWFjYI/WhdeZF5N+KDqiV43eR1U661qE8WofymMbOzpDhRpcamZds6aeffuL777/nyy+/fOQ+3N+oZsWIRCS7MyYbbR2CiMhD08i85FjR0fGYTHr7Z4ZGTaxDecw85dA6lEfrUB6tQ3lMo5F5kXvI6B+GPDh397y2DuGpoDxmjjnVZOsQRERsQsV8DhcZGUnLli3x8PDAYDCQkpJCkSJFGDt2LJ07d2bOnDmULFky3TkfffQRHTt2JDExkenTpzN37lzLsapVqz50DG3atEm3dOWTcu2HA5jibj/x64qI9RXt72nrEEREbELFvFCkSJF0xfTkyZMZOXLkPduPHj0agD179txx7FHYopAXEREReRqomJc71KpVi02bNgHw1Vdfcfz4cZKSkpgwYQLVq1cnKCiIPn36pDvn38emTZuGg4MDly9fplq1aowePZqrV6/yzjvvUKpUKS5cuEDx4sWZOHEi+fPnp0KFCpw8eZJp06YRFRXFhQsXuHTpEu3ateOdd97BaDQyYcIE9u7di9FoJCAggG7dunHlyhUGDRpEYmIidnZ2DB8+nBo1ajzpdImIiIjYjDaNknRSUlJYs2YNL774IgDlypUjLCyMoKAgZs2a9UB9HD58mBEjRrB27Vpu377N/PnzAfjjjz/o2rUrq1evxsPDg+nTp99x7smTJ5k1axZLlizhu+++4+bNmyxevBiA5cuXs3TpUv73v/+xf/9+li5dyssvv0xoaCiDBw/m119/tVIWRERERLIHjcwLV69epU2bNgAkJydTrVo13n//fSIiImjevDmQVtSvW7fugfqrXbs2zz33HJA2H37x4sW88sorPPvss9StWxeAtm3bMmjQoDvOrVu3Lk5OThQqVIj8+fMTFxfHrl27OH78OLt37wYgMTGRkydPUq9ePfr27cvx48dp0qQJXbp0yXQuRERERLITFfNyx5z5f7O3twe4Y8fWjPxzDqRt7vTP7w4ODnc9/m/Ozs6Wnw0GA2az2bLz66uvvgpATEwMuXPnxsXFhdWrV7NlyxZ++eUXli9fzuzZsx84ThEREZHsTtNsxOp+/fVXoqKiMJlMhIWF0bhxYwDOnTvH8ePHAVi2bJnl+P14enqyePFiUlJSSEhIoHPnzhw6dIgJEyawYsUK/P39GTFiBMeOHXts9yQiIiKSFWlkXqyuSJEiDBkyhKioKBo0aEC7du24fPky+fLlY+rUqfz5559UqFCBUaNGPVB/HTt25MKFC/j7+5OamkpAQAB169aldOnSvP/++yxfvhx7e3s++eSTx3xnIiIiIlmLdoAVq9qzZ49l7fl/i4yMJDg42LJKjoiINZlTTVz/O8HWYWR72nHTOpRH61Ae02gHWJF7iI6Ox2TSZ9nM0B9a61AeM0876IpITqViXqyqbt26lhVr/q1kyZIalRcRERGxMhXzkmNl9JWVPDiNiFqH8pg55lSTrUMQEbEJFfM5XHx8PJMnT2bfvn3Y29vj5ubGsGHDqFy58kP3tWjRIvLkyYOPj88DtQ8NDWXcuHE888wzABiNRpKTkxkyZAjNmzfn559/BqBTp04PHcuDuDZ7H6a424+lbxF5sor2a2jrEEREbELFfA5mMpno2bMndevWJSwsDAcHB3bv3k3Pnj1ZvXo1BQoUeKj+Dhw4QJ06dR7qHC8vL8aNG2f5fePGjYwYMYLmzZs/tiJeRERE5GmhYj4H27NnD1evXqVfv37Y2aVtOeDp6cnYsWMxmdK+sv7mm28IDw/H3t6eBg0aMHjwYJKSknjvvfe4fv06AL179yZXrlxs2rSJ3bt34+7uTtGiRRk5ciSJiYnExMTQvXt3goOD7xvTpUuXyJcvHwDTpk0DoG/fvqxcuZIZM2ZgMBioWrUqI0eOJCYmhg8//JC4uDiuXbtG69at77qrrIiIiMjTSsV8Dnbs2DGqVq1qKeT/0aRJEwC2bt3Kpk2bCA0NxcHBgb59+7Jw4UJy585NiRIl+O677zhz5gxLly5l6NCheHl5UadOHRo1asTo0aN59913qVevHhcvXsTPz++uxfymTZto06YN8fHx3Lp1iwYNGvD111+naxMVFcXYsWMJDQ2lWLFiDB48mK1bt3LhwgV8fHzw9/cnLi6OJk2a8MYbb1CwYMHHlzQRERGRLETFfA5mZ2dHRtsM7N69m9atW+Pi4gJAYGAgYWFhDBo0iM8//5yoqChefvllevfufce5w4YNY/v27Xz77becPHmSxMTEu17jn2k28fHxvPXWWxQvXpyyZcuma3PgwAFefPFFihUrBsDEiRPTxThr1ixOnTpFSkoKSUlJD50HERERkezK7v5N5GlVpUoVjh07dkdB//nnn7N7927LVJt/S01N5dlnn2XNmjX4+vqyf/9+XnvttTv6GDBgABs2bMDDw4OBAwfeNxZXV1fGjx/P7Nmz+fXXX9O95uCQ/jNnTEwMMTExjBs3jrlz51K8eHHeeecdChQokOGHExEREZGnjYr5HKxWrVoUKlSI6dOnYzQaAdi+fTuhoaGUK1cOT09PVq9eza1bt0hNTWXZsmV4enoyb948pk2bhre3N5988gkxMTHExcVhb29v6SciIoJ+/frRvHlz9u3bB2B57V5KlSpFUFAQY8eOTVeUV61alUOHDnHt2jUAxowZw//+9z8iIiLo0aMH3t7eXL58maioqLt+ABERERF5WmmaTQ5mMBj4+uuvGTt2LD4+Pjg4OFCgQAG+++47ChcuTNOmTTl+/DiBgYGkpqbSqFEjunTpwq1bt3jvvffw9fXFwcGBPn364ObmRv369fn888/Jmzcvffv2pXPnzri5uVG2bFlKlChBZGQkZcqUyTCmt99+m6VLlxIeHm45VrRoUT766CN69OiByWSiRo0aBAQEkCtXLoYMGYKbmxuFChWiSpUqREZGUrp06cedOhEREZEswWDWvAQREcnmzKkmrv+dYOswsj1397xcuxZn6zCyPeXROpTHNHZ2hgw3utTIvORY0dHxmEz6LJsZ+kNrHcpj5mkHXRHJqTRnXkREREQkm9LIvKSzdu1avvvuO1JTUzGbzbRp04Y333yTnj17MmrUKIoWLWrrEK0mo6+s5MFpRNQ6lMfMMadm/IC9iMjTSsW8WERFRTF+/HhCQ0MpUKAACQkJBAUFUbZsWWbOnGnr8Kzu2uzdmOJu2ToMEbGCov1etnUIIiI2oWJeLP7++29SUlK4dSutwM2TJw/jxo3D2dkZLy8v5syZw969e9m+fTuxsbFcvHiRBg0aEBISAsDkyZNZt24dBQoUwN3dHS8vLwICApgyZQq7du0iNjaWAgUKMG3aNNzd3fH09KRp06YcPXqUPHnyMGnSJEqWLMnBgwcZPXo0t2/fpkCBAnz22WeUKVOGoKAg8uXLx6lTp/jiiy+4du0aU6dOJTU1lZIlSzJy5EgKFChgwwyKiIiIPFmaMy8WL7zwAs2aNaN58+a89tprTJw4EZPJdMdykgcOHGDq1KmEh4ezefNmTp48yaZNm/j1119ZtWoV3333HceOHQPgwoULnD17loULF7Ju3TpKly7NypUrgbQPD3Xq1GHlypW0bt2aUaNGkZyczHvvvcfHH39MeHg4HTt25L333rNcu0KFCqxbt46iRYsyefJkZs2aRVhYGA0bNmTSpElPLlkiIiIiWYBG5iWdTz/9lHfffZcdO3awY8cO2rdvf0eRXLNmTVxd0+ablypVitjYWHbu3Im3tzdOTk44OTnRvHlzAMqUKcPQoUNZsmQJ586d4+DBg5Z14J2dnWnbti0A/v7+fP7555w/fx43NzeqVasGgLe3NyNGjCAuLm2lj3+OHzp0iMuXLxMcHAyAyWQiX758jzc5IiIiIlmMinmx2LJlC4mJibRq1YrAwEACAwNZvHgxS5cuTdfO2dnZ8rPBYMBsNmNnZ3fX3VePHj3K+++/T7du3WjRogV2dnaW3V3t7OwwGAxAWjFub29/1z7MZrNl91gXFxcgbTfZF198kW+++QaA27dvk5CgNaZFREQkZ9E0G7FwcXFh8uTJREZGAmlF9OnTp6lYseJ9z23QoAHr168nOTmZ+Ph4tmzZgsFgYN++fdSpU4dOnTpRrlw5IiIiLIV5UlISmzZtAiA0NJTGjRvz3HPPcePGDQ4fPgzAL7/8QvHixcmfP3+661WvXp2DBw9y7tw5AL7++msmTJhgrVSIiIiIZAsamRcLT09P+vTpQ69evUhJSQGgUaNG9O7d2zLP/V6aNGnCb7/9hr+/P/ny5aNIkSI4OzvTqlUr+vTpg6+vL46OjlSoUMHyYQHSlsKcMmUKRYoUYfz48Tg5OTFlyhRGjhxJUlIS+fLlY8qUKXdcz93dnTFjxjBgwABMJhNFixZl4sSJ1k2IiIiISBZnMP8z50EkEw4cOMD58+fx9/cnJSWFDh06MGbMGF544YV7nlOhQgVOnjz5BKNMT0tTijw9ivZ7WbvoWoF2I7YO5dE6lMc0dnaGDPfG0ci8WEXZsmWZPn06s2fPxmw207Zt2wwL+azAvbunrUMQESvRplEiklNpZF5yrOjoeEwmvf0zQ6Mm1qE8Zp5yaB3Ko3Uoj9ahPKbRyLzIPWT0D0MenLt7XluH8FRQHjNHI/MiklOpmJcMRUZG0rJlSzw8PDAYDKSkpFCkSBHGjh1LsWLF7npOUFAQffr0oW7dug91rUWLFpEnTx58fHz48ssvqVKlCs2aNbPGbdzV9R93aM68yFOiSN/mtg5BRMQmtDSl3FeRIkVYsWIFYWFhrF69mipVqjBy5EirX+fAgQMkJycD0L9//8dayIuIiIg8DTQyLw+tVq1abNq0iTVr1jB79mxu3brF7du3GTVqFLVr107X9rvvvmPNmjUYjUYaNmzI4MGDSUhI4L333uP69esA9O7dm1y5crFp0yZ2796Nu7s7q1evpk6dOtSpU4c+ffpQvnx5jh8/TqFChfjyyy/Jnz8/27ZtY+rUqaSmplKyZElGjhxJgQIFbJESEREREZvQyLw8lJSUFNasWcOLL77IwoUL+eabbwgPD6dnz57MmjUrXdtt27Zx9OhRli5dSlhYGFFRUYSHh7NhwwZKlChBaGgoEydOZP/+/dSvXx8vLy/69etHo0aN0vVz4sQJunfvzqpVq3Bzc2PlypXExMQwefJkZs2aRVhYGA0bNmTSpElPMhUiIiIiNqeRebmvq1ev0qZNGwCSk5OpVq0a77//Pg4ODmzatIlz586xd+9e7OzSfzbctWsXhw8fJiAgAIBbt25RvHhxAgMD+fzzz4mKiuLll1+md+/eGV6/UKFCVKpUCYDy5csTGxvLoUOHuHz5MsHBwQCYTCby5ctn7VsXERERydJUzMt9/TNn/t8SEhIICAigTZs21K5dmwoVKjB//vx0bYxGI127dqV79+4A3Lx5E3t7e/LkycOaNWvYvn07mzdv5ocffmDNmjX3vL6zs7PlZ4PBgNlsxmg08uKLL/LNN98AcPv2bRISEqx1yyIiIiLZgqbZyCM5f/48dnZ29OrVC09PT7Zt24bRmH5pOE9PT1asWEFCQgKpqan07t2bdevWMW/ePKZNm4a3tzeffPIJMTExxMXFYW9vf0cf91K9enUOHjzIuXPnAPj666+ZMGGC1e9TREREJCvTyLw8khdeeIGKFSvi7e2Ni4sLtWvX5q+//krXxsvLixMnTtC+fXuMRiONGjXC39/f8gCsr68vDg4O9OnTBzc3N+rXr8/nn39O3rz3X2/b3d2dMWPGMGDAAEwmE0WLFmXixImP63ZFREREsiTtACs5ltaZF3l6FOnbXDtFWoF23LQO5dE6lMc02gFW5B4Kd2to6xBExEq0A6yI5FQq5iXHio6Ox2TSF1OZoVET61AeM8/d/f7T80REnkYq5iXHyugrK3lwKqKsI6fn0ZicSkxskq3DEBHJdlTMy12lpqYyc+ZMwsPDMRgMGI1G/P39efvttzEYDLYOzyqu/7QFU5yKB5GsoEgfb1uHICKSLamYl7v69NNPuX79OosWLcLNzY34+Hh69+5N3rx5ef31120dnoiIiIigYl7u4sqVK4SHh7Nt2zbc3NwAcHV1ZcSIEZw+fZphw4ZRp04dy86uFSpU4OTJkyQkJPDZZ59x6tQpjEYjPXv2xMfHh9DQUJYvX86NGzdo2rQpV69exdXVld9//52oqCh69+5NYGAgu3btsiwvmS9fPiZPnkzBggUJCwvjp59+wmQyUblyZT755BPCw8PZvXs3kydPBmD69Ok4OTnx1ltv2SZpIiIiIjagTaPkDocPH8bDw4N8+fKlO+7h4UGLFi3ued6MGTOoXLkyoaGhzJ8/n2+++YaLFy8CEBUVxfLly3nvvfeAtA8MCxYsYMaMGZbNnr7++mtCQkIIDQ2ladOmHDt2jFOnTrF48WIWLlzIihUrKFSoELNmzaJVq1bs2rWLhIQEzGYzK1eupE2bNo8pIyIiIiJZk0bm5a7+PS9+7dq1zJgxA5PJhJOTE+XLl7/rOTt37uTWrVssW7YMgMTERE6dOgVApUqVcHD4/7dbgwYNMBgMPP/889y4cQOAZs2a0adPH5o3b06zZs1o0KAB8+bN48KFC7Rv3x6AlJQUKlWqRJ48eWjSpAnr16+nVKlSlCpViqJFiz6OVIiIiIhkWSrm5Q6VK1fmzJkzxMfH4+rqSsuWLWnZsiWRkZEEBwdjMBj4Z6+xlJQUy3kmk4mJEydSuXJlAK5fv06+fPlYuXIlLi4u6a7h7OwMpP/Q0K1bN5o2bcrmzZuZOHEihw8fJnfu3Hh7ezN8+HAAEhISMBrT1pMODAxkxowZlCxZ0jLlR0RERCQn0TQbuUOJEiXw8/Nj6NCh3Lx5EwCj0ciWLVuws7Mjf/78nD59GoCNGzdazvP09OTnn38G4OrVq/j5+XH58uUHvm67du1ISEigW7dudOvWjWPHjlG3bl02bNhAdHQ0ZrOZkJAQfvrpJwBq1arFlStX2LNnD82bN7fW7YuIiIhkGxqZl7sKCQlh9uzZBAcHYzabSU5OpkaNGsycORMHBwcGDBiAr68vnp6euLu7A9CnTx9CQkLw8fHBaDQyePBgSpcuzf79+x/omu+99x7Dhg3DwcEBZ2dnPv30U55//nn69OlD165dMZlMVKxYMd1Drq+88go3btzAycnpseRBREREJCszmP+ZLyGSjZjNZlJSUujevTsffvihZWrPw9A68yJZR5E+3pnaBVe76FqH8mgdyqN1KI9p7OwMGW50qZF5yZauXbtG69atadeu3SMV8gCFu75s3aBE5JEZk1NtHYKISLakYl6ypSJFirBv375M9REdHY/JpC+mMkOjJtahPIqIyKNSMS85VkZfWcmDc3fPa+sQngpZOY/G5FRiYjUlTUQkK1IxLzbxz66xD2ratGkA9O3blzZt2rBixYpMx3B9zkbNmRd5AEV6+9o6BBERuQctTSnZjjUKeREREZGngUbmxab27NnDt99+i4uLC2fOnKFChQpMmjQJJycnvv/+exYvXkyBAgVwc3OjWrVqwP+P6kdFRfHhhx8SFxdneSB20KBBNr4jERERkSdHxbzY3IEDB1izZg1FihShffv27NixA3d3d5YtW8by5csxGAx06NDBUsz/Y9WqVfj4+ODv709cXBxNmjThjTfeoGDBgja6ExEREZEnS8W82Fz58uUpVqwYAB4eHsTGxnLu3DmaNGlCnjx5AGjZsiUmkyndeT169GD37t3MmjWLU6dOkZKSQlKS5sCLiIhIzqFiXmzO2dnZ8rPBYMBsNmMwGNIV7w4ODiQnJ6c7b9y4cVy8eBEfHx+aN2/Ozp070R5oIiIikpPoAVjJkurVq8eWLVuIi4vj9u3bbNiw4Y42ERER9OjRA29vby5fvkxUVNQdo/ciIiIiTzONzEuWVLFiRbp27cprr72Gm5sbxYsXv6PN22+/zZAhQ3Bzc6NQoUJUqVKFyMhISpcubYOIRURERJ48g1nzEkREJAPZYdMo7aJrHcqjdSiP1qE8prGzM2S40aVG5iXHio6Ox2TSZ9nM0B9a61AeRUTkUWnOvIiIiIhINqWRecmxMvrKSh6cu3teW4fwVMjKecwO02xERHIqFfNPgcjISJo1a8YPP/xAgwYNLMe9vLyYM2cOJUuWfKB+jEYjb731FleuXGHEiBHUrVv3rtcKDg5m06ZNDBs2jDp16hAQEHDPPu8XQ1BQEH369LnrtR5GaGgoe/fuZdy4cQ98zvU56zDFJWbquiI5QZHe/rYOQURE7kHTbJ4Sjo6OfPzxx8THxz9yH1FRUZw8eZLVq1dnurgWERERkcdPI/NPiSJFilC/fn3Gjx/PyJEj73j9m2++ITw8HHt7exo0aMDgwYO5fPkyb775JgUKFMDZ2Zno6Ghu3LhBQEAAoaGhdz3nbpKSknjjjTfw8fHh9ddfv2ub+Ph43nvvPa5fvw5A7969adasmeX11NRUQkJCOHXqFNevX6ds2bJMnz6d69ev06dPH8qXL8/x48cpVKgQX375Jfnz5ycsLIwZM2bg6upKiRIlyJ07txUyKSIiIpJ9aGT+KTJs2DB27NhBREREuuNbt25l06ZNhIaGsnz5ci5cuMDChQsBOHfuHBMnTuTHH39kxowZFClShNDQ0AzP+beUlBT69OlDixYt7lnIA2zYsIESJUoQGhrKxIkT2b9/f7rXDxw4gKOjI4sWLWLDhg3cvn2brVu3AnDixAm6d+/OqlWrcHNzY+XKlURFRTFp0iTmz5/PokWLSEhIyGz6RERERLIdFfNPEVdXV0aOHHnHdJvdu3fTunVrXFxccHBwIDAwkF27dgFQqFChu85nz+icf/vyyy85efIkHTp0yDC2mjVrsnHjRt59911+/fVXevfune712rVr07lzZ+bPn8/o0aM5f/48iYmJlhgrVaoEQPny5YmNjeXAgQPUrFmTwoUL4+DggK+v78MlS0REROQpoGL+KdOwYUPLdJt/mEymO9qlpqYC4OLictd+Mjrn31q3bk2TJk2YOnVqhnE9++yzrFmzBl9fX/bv389rr73Gv/cr+9///segQYNwcXEhICCA2rVrW153dna2tDMYDJjNZgwGQ7oYHRw0Y0xERERyHhXzT6F/pttcvXoVAE9PT1avXs2tW7dITU1l2bJleHp6ZtjHg55TsWJFBg8ezMqVKzl+/Pg9+5s3bx7Tpk3D29ubTz75hJiYGOLi/n+TnF27duHt7U1gYCCFCxdm3759GI3Ge/b30ksvcejQIaKiojCZTPzyyy/3S4uIiIjIU0fDmU+hf6bb9OjRA4CmTZty/PhxAgMDSU1NpVGjRnTp0oUrV67cs4+HOSd//vy8//77DB8+nMWLF2Nvb39Hm7Zt2/Lee+/h6+uLg4MDffr0wc3NzfJ6u3btGDRoEGvXrsXJyYkaNWoQGRl5z/gKFy7M8OHD6datG7ly5aJcuXIPkyIRERGRp4LB/O+5DiIiIv+RHTaNcnfPy7VrcfdvKBlSHq1DebQO5TGNnZ0hw40uNTIvOVZ0dDwmkz7LZob+0FqH8igiIo9Kc+ZFRERERLIpjcxLjpXRV1by4Nzd89o6hAxlhykiIiIij0rFvFjNnj17mD59OnPnzgXSdn3t0aMHNWvWZNeuXaxYseKOcz766CM6duxIYmJiunMfxNSpU6lfvz61atWy9FO1atUHPv/63FWY4hIfuL1kT0XebW/rEERERB4bFfPyWCQkJPDmm29Su3ZtBg0adM92o0ePBtI+CDysffv2Ubdu3XT9iIiIiOQkmjMvVpeYmMhbb72Fp6enpZCvUKECANOmTaNHjx60atWK+fPnExQUZCnk//77b3r06IGvry8fffQRycnJQNoa9e3atcPHxwdfX1/OnDlDWFgYR48eZfjw4Zw8eTJdPyIiIiI5hYp5saqkpCTefvttTp06Rbdu3e7aJjk5mV9++YXXX3893fHIyEg+/vhjwsPDSUhI4OeffyY+Pp6NGzcyd+5cVq1aRfPmzVmwYAFt27alSpUqjBo1yvJBQURERCSnUTEvVnXkyBHq1auHt7c3w4cPv2ubatWq3fV4rVq1ePbZZzEYDPj6+rJ3715cXV2ZPHkyq1evZvLkyWzevJnERM1zFxEREQEV82JlNWrU4N1332XYsGGcOnWKn3/++Y42Li4udz3XweH/H+Ewm804ODhw+fJlOnToQFxcHI0bN8bf3x/tcyYiIiKSRsW8WJWTkxMAuXLlYsKECUycOJHTp08/0Lm//vorf/31FyaTibCwMOrXr8+RI0coU6YM3bp1o3r16mzbtg2j0QiAvb295WcRERGRnEjFvDw21atXp1u3bgwcOPCB2pcrV44PP/wQX19fihYtymuvvUaDBg0wmUy0atWK9u3bU6JECSIjIwFo1KgRn3zyCb/99tvjvA0RERGRLMtg1pwFEXmKGZNTuRF3y9ZhZKhQIVeio+NtHUa2phxah/JoHcqjdSiPaezsDBQokOeer6uYFxERERHJpjTNRkREREQkm1IxLyIiIiKSTamYFxERERHJplTMi4iIiIhkUyrmRURERESyKRXzIiIiIiLZlIp5EREREZFsSsW8iIiIiEg2pWJeRERERCSbUjEvOcrKlStp1aoVr7zyCvPnz7d1ONnK9OnTad26Na1bt2bChAkA7Ny5E19fX1599VWmTJli4wizl/HjxzNs2DAAjh8/TmBgIC1atOCjjz4iNTXVxtFlfZs2bSIgIICWLVsyatQoQO/Hh7VixQrLv+nx48cDei8+jPj4eHx8fIiMjATu/f5TTjP23zwuWrQIHx8ffH19+eCDD0hOTgaUxwyZRXKIK1eumJs2bWr++++/zQkJCWZfX1/zqVOnbB1WthAREWHu0KGD+fbt2+bk5GRzcHCweeXKleYmTZqY//zzT3NKSor5jTfeMG/ZssXWoWYLO3fuNNetW9c8dOhQs9lsNrdu3dp84MABs9lsNn/wwQfm+fPn2zC6rO/PP/80N2zY0Hz58mVzcnKyuVOnTuYtW7bo/fgQEhMTzbVr1zZHR0ebU1JSzK+99po5IiJC78UHdPDgQbOPj4+5cuXK5osXL5qTkpLu+f5TTu/tv3k8e/as+ZVXXjHHxcWZTSaTeciQIebZs2ebzWblMSMamZccY+fOnXh6epI/f35y585NixYtWLt2ra3Dyhbc3d0ZNmwYTk5OODo64uHhwfnz5ylTpgylSpXCwcEBX19f5fMB3LhxgylTptCrVy8ALl26xK1bt6hRowYAAQEByuN9bNiwgVatWlGsWDEcHR2ZMmUKuXLl0vvxIRiNRkwmE0lJSaSmppKamoqDg4Peiw9o8eLFfPLJJxQpUgSAw4cP3/X9p3/fGftvHp2cnAgJCcHV1RWDwcDzzz/PX3/9pTzeh4OtAxB5Uq5evYq7u7vl9yJFinD48GEbRpR9lC9f3vLz+fPn+eWXXwgKCrojn1FRUbYIL1sZMWIEAwcO5PLly8Cd70t3d3fl8T4uXLiAo6MjPXr04Nq1azRt2pTy5cvr/fgQXF1d6d+/P97e3ri4uFCnTh0cHR31XnxAo0ePTvf73f7/EhUVpX/f9/HfPJYoUYISJUoAEBMTw/z58xk7dqzyeB8amZccw2w233HMYDDYIJLs69SpU7zxxhsMHTqU0qVL3/G68pmxJUuW8Mwzz1CvXj3LMb0vH57RaGTXrl1MnDiRxYsXc+TIEct8239THu/txIkTLFu2jM2bN7Njxw7s7OyIiIi4o51y+GDu9e9Y/74fTVRUFF27diUwMJC6desqj/ehkXnJMYoWLcr+/fstv1+9etXy1Z7c36+//kq/fv348MMPad26NXv37uX69euW15XP+/vll1+4du0abdq0ITY2lsTERAwGQ7o8Xrt2TXm8j8KFC1OvXj0KFiwIQLNmzVi7di329vaWNno/ZmzHjh3Uq1ePQoUKAWnTFmbNmqX34iMqWrToXf8e/ve4cnp/Z86coWfPnnTp0oU33ngDuDO/ymN6GpmXHKN+/frs2rWLmJgYkpKSWL9+PY0bN7Z1WNnC5cuX6d27N5MmTaJ169YAVK9enXPnznHhwgWMRiOrVq1SPu9j9uzZrFq1ihUrVtCvXz+8vLwYO3Yszs7O/PrrrwCEhYUpj/fRtGlTduzYwc2bNzEajWzfvp2WLVvq/fgQXnjhBXbu3EliYiJms5lNmzZRp04dvRcf0b3+HpYoUUI5fQjx8fH06NGD/v37Wwp5QHm8D43MS45RtGhRBg4cSHBwMCkpKbz22mtUq1bN1mFlC7NmzeL27duMGzfOcqxjx46MGzeOvn37cvv2bZo0aULLli1tGGX2NWnSJIYPH05CQgKVKlUiODjY1iFladWrV+fNN9+kc+fOpKSk0KBBAzp16sRzzz2n9+MDatiwIceOHSMgIABHR0eqVq3KW2+9xSuvvKL34iNwdna+599D/ft+cEuXLuX69ev88MMP/PDDDwB4eXnRv39/5TEDBvPdJiKJiIiIiEiWp2k2IiIiIiLZlIp5EREREZFsSsW8iIiIiEg2pWJeRERERCSbUjEvIiIiIpJNqZgXEclh3njjDWJiYjLdT2RkJDVr1rRCRNaxdu1agoKC7ttu+vTpbNy48aH7b9OmDTdv3iQ0NJS33377UULMsry8vDhy5MhDnfPzzz/z3Xff3XG+td5fIvJgtM68iEgOExERYesQbGrPnj2UK1fuoc9bsWLFY4gm++rUqdNdj+f095fIk6aReRGRHOSDDz4AoGvXrlSsWJEBAwbg7e3Nhg0b7hid/ffvmzdvpk2bNvj6+tKhQwdOnDjxf+3dW0jUTxvA8a+ulZkVqFFddNHJNIVKC8kM3XI1c7fUNQqlMizSpCNaUlZSZKVGqShBZ1BLsc00szRJJDIKxKyLLEToZGRhRykPu++FuG9m7or1f/+v+Xxu/C2/mWeemV1hnN/M2iNuQ0MDixYtory8nI6ODvbv349GoyEkJIQtW7bw9etXk3m9e/eOTZs2sXLlShYtWsTq1at5//69MY+MjAzCwsJQKpUkJycb66WlpeHr60toaCjl5eVm+5+Tk8Pjx49JTk6mvLyc+Ph4oqKiCAwMJCUlhcbGRtatW8fKlStRKpVER0fz/ft3AGbMmNFrxfnz58/Ex8cTEhKCRqMhKSmJjo4OAFxdXdm6dSv+/v48evSI9PR045hERkby9u1bk7nqdDqio6OJiYlBrVYTHBzM06dPAXjz5g1RUVFoNBrUajWnT58Gup6W+Pr6cvDgQUJDQ1GpVFy/ft3suADk5uYSHBxMYGAgBQUFQNcfPmq12ljmx9cZGRkcOHCgR4wfP19NTU19tmUu7pYtWwgLC8Pf35+tW7fy5cuXfvVBiKFIJvNCCDGEHD58GIALFy4wceJEpk+fTmlpKSqVqs867969Iy4ujiNHjlBcXExkZCSpqanG+0+fPiUqKopDhw6hUqmora3l/v37FBUVodPpmDRpEvX19SbzKikpYfbs2eTl5VFRUYG1tXWPlfDW1lZyc3O5dOkS2dnZvHjxglu3blFWVkZhYSGXLl3q14QvPDwcV1dXdu7caezzt2/fKCkpIS4ujvz8fIKCgsjLy6OsrIyXL19SWVnZZ7ykpCRcXFzQ6XQUFhbS0tLCuXPnAGhvb0epVHLz5k0cHBy4cOECly9fRqfTsWDBAurq6szm++DBA/bu3cu1a9dwc3PjzJkzAMTGxuLh4UFxcTEXL16kqKiIkpISAF68eIGXlxcFBQXExsaSkpJith3o+i+mV65c4ezZsxw7doxnz571q96Pfv58DdTDhw9JT0+ntLQUKysrMjMzBxxLiL+dTOaFEGIImzt3rtkyNTU1TJ8+HWdnZwD8/PyMK8FtbW2sWbMGZ2dn5s+fD4CjoyMKhYIVK1Zw4sQJ/P39cXNzM9nG2rVrcXNz49y5cyQmJvLs2TNaW1uN9xcvXgzA+PHjsbe35+PHj1RXV6NSqbC1tcXKygqtVjugMXB3dzdex8XFYWdnx6lTp0hMTOTt27c98vhZZWUleXl5LF++nJCQEOrq6oyr5/Df8R0/fjxOTk4EBwdz9OhRnJ2d8fX1NZubi4sLEyZMAGDmzJl8/PiR1tZWampqCA8PB2D06NGEhIRQVVUFwLBhw/D29jbW+fDhQ7/GYdWqVcZcvby8qK6u7le9f8KSJUtwcHDA0tKS0NBQ7ty586/lIsT/O9kzL4QQQ5iNjU2P1waDwXjd1tYGgEKhwMLCokeZ+vp6bG1tAcjMzGTnzp2UlZXh5+fHmDFjuHr1KjU1Ndy7d49t27axZs0aIiIi+swjJSWFuro6tFotHh4edHR09MhlxIgRxmsLCwsMBoPxZzeFQvHbY7Bjxw46OzsJCAjAx8eHpqamHm38TK/Xk5aWxtSpUwH49OlTj7Hqjm1paUl2djaPHj2iurqapKQkPDw8SEhIMJmbtbW18bq7v3q9vldOer3euL1n2LBhWFpaGuv0V3cd6HqPrayseo1xe3t7v+OZYi7uj++lXq/vkZsQoif57RBCiCFGoVAYJ34/srOz4/HjxwDU1tbS3NwMwKxZs2hoaDBuu6ioqCAuLg6A4cOH4+7uTlJSEvv376e5uZnbt28TERHBnDlz2Lx5M0FBQb322P/szp07rF27lqCgIOzt7bl79y6dnZ0m6yxcuJAbN27w6dMn9Hp9vw+o9tX/7jxiYmJYunQpFhYWPHz40GQeXl5enD9/HoPBQFtbG9HR0WRnZ/cq9+TJE9RqNVOnTmXjxo1ERESY3XrUF1tbW2bNmkVOTg7QtW+/sLAQT0/PAcXrduXKFQBev37N3bt3mT9/PnZ2drx+/Zr3799jMBj69S1Apsa3m7m4FRUVfP78Gb1eT35+PkqlcuAdE+IvJyvzQggxxKhUKsLCwnodSo2NjSUxMZG8vDxcXFxwcXEBwMHBgdTUVHbt2kVnZye2trYcP368R10PDw8CAwPZvXs3J0+epKqqCrVajY2NDWPHjuXgwYMmc4qJiSE5OZmsrCwUCgVubm48f/7cZB1vb2/q6+vRarWMGTMGJycnWlpazPZfqVRy9OjRX64yb9++nZiYGMaOHcvIkSOZN2+eyTz27NnDoUOH0Gg0tLe34+npyfr163uVc3JyIiAgAK1Wi42NDdbW1mZX5U1JTU3lwIED6HQ62trajAdrX716NeCY379/Jzg4mPb2dhISEpg8eTLQtf1Gq9Uybtw4fHx8zMbp/nxlZWXh6Oj4yzLTpk0zGdfBwYENGzbQ0tLCvHnziIqKGnC/hPjbWRhMPT8UQgghhPgfysjIoKWlhX379v3bqQgxKMjKvBBCiH/cly9fjAc2fzZq1Chyc3P/WFunT5+muLj4l/ciIyNZtmzZH2vrd/3qCUm3nJwc47mE31VUVGT8JpyfaTSaXz5N+F3btm2jsbHxl/eOHz/OlClT/nibQgxFsjIvhBBCCCHEICUHYIUQQgghhBikZDIvhBBCCCHEICWTeSGEEEIIIQYpmcwLIYQQQggxSMlkXgghhBBCiEFKJvNCCCGEEEIMUv8BFYMcP9i8UBIAAAAASUVORK5CYII=", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(figsize=(10, 20))\n", "\n", "vis_col = \"trucks_and_trailers_non_built_up\"\n", "\n", "sns.barplot(\n", " y=\"country\",\n", " x=vis_col,\n", " data=df_trucks.sort_values(by=vis_col, ascending=False).dropna(subset=[vis_col]),\n", " ax=ax\n", ")\n", "\n", "#Trucks, or automobiles with trailer, outside built-up areas/highways\n", "ax.set_title(\"Speed Limits for Trucks and Trailers outside Built-up Areas \")" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "mini-lab", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.16" }, "vscode": { "interpreter": { "hash": "e467efdff174b9cfab53e8ca5f6d304cc797bfb14bfea67d9f8e08ed2ec0841d" } } }, "nbformat": 4, "nbformat_minor": 4 }