Fatal Police Shootings US.ipynb

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    "<h1>Table of Contents<span class=\"tocSkip\"></span></h1>\n",
    "<div class=\"toc\"><ul class=\"toc-item\"><li><span><a href=\"#Introduzione-e-obbiettivi-dell'analisi\" data-toc-modified-id=\"Introduzione-e-obbiettivi-dell'analisi-1\"><span class=\"toc-item-num\">1&nbsp;&nbsp;</span>Introduzione e obbiettivi dell'analisi</a></span></li><li><span><a href=\"#Manipolazione-dei-dati\" data-toc-modified-id=\"Manipolazione-dei-dati-2\"><span class=\"toc-item-num\">2&nbsp;&nbsp;</span>Manipolazione dei dati</a></span></li><li><span><a href=\"#Pulizia-dei-dati\" data-toc-modified-id=\"Pulizia-dei-dati-3\"><span class=\"toc-item-num\">3&nbsp;&nbsp;</span>Pulizia dei dati</a></span><ul class=\"toc-item\"><li><span><a href=\"#Uccisioni-della-polizia\" data-toc-modified-id=\"Uccisioni-della-polizia-3.1\"><span class=\"toc-item-num\">3.1&nbsp;&nbsp;</span>Uccisioni della polizia</a></span></li><li><span><a href=\"#Popolazione\" data-toc-modified-id=\"Popolazione-3.2\"><span class=\"toc-item-num\">3.2&nbsp;&nbsp;</span>Popolazione</a></span></li><li><span><a href=\"#Composizione-razziale\" data-toc-modified-id=\"Composizione-razziale-3.3\"><span class=\"toc-item-num\">3.3&nbsp;&nbsp;</span>Composizione razziale</a></span></li><li><span><a href=\"#Reddito\" data-toc-modified-id=\"Reddito-3.4\"><span class=\"toc-item-num\">3.4&nbsp;&nbsp;</span>Reddito</a></span></li><li><span><a href=\"#Livello-di-povertà\" data-toc-modified-id=\"Livello-di-povertà-3.5\"><span class=\"toc-item-num\">3.5&nbsp;&nbsp;</span>Livello di povertà</a></span></li><li><span><a href=\"#Livello-di-istruzione\" data-toc-modified-id=\"Livello-di-istruzione-3.6\"><span class=\"toc-item-num\">3.6&nbsp;&nbsp;</span>Livello di istruzione</a></span></li></ul></li><li><span><a href=\"#Maggior-numero-di-vittime\" data-toc-modified-id=\"Maggior-numero-di-vittime-4\"><span class=\"toc-item-num\">4&nbsp;&nbsp;</span>Maggior numero di vittime</a></span></li><li><span><a href=\"#Analisi-generale-razzismo\" data-toc-modified-id=\"Analisi-generale-razzismo-5\"><span class=\"toc-item-num\">5&nbsp;&nbsp;</span>Analisi generale razzismo</a></span></li><li><span><a href=\"#BlackLivesMatter\" data-toc-modified-id=\"BlackLivesMatter-6\"><span class=\"toc-item-num\">6&nbsp;&nbsp;</span>BlackLivesMatter</a></span></li><li><span><a href=\"#Altre-variabili-\" data-toc-modified-id=\"Altre-variabili--7\"><span class=\"toc-item-num\">7&nbsp;&nbsp;</span>Altre variabili </a></span></li><li><span><a href=\"#Correlazione-con-reddito,-livello-di-povertà-e-educazione\" data-toc-modified-id=\"Correlazione-con-reddito,-livello-di-povertà-e-educazione-8\"><span class=\"toc-item-num\">8&nbsp;&nbsp;</span>Correlazione con reddito, livello di povertà e educazione</a></span></li><li><span><a href=\"#Analisi-temporale\" data-toc-modified-id=\"Analisi-temporale-9\"><span class=\"toc-item-num\">9&nbsp;&nbsp;</span>Analisi temporale</a></span></li><li><span><a href=\"#Conclusioni\" data-toc-modified-id=\"Conclusioni-10\"><span class=\"toc-item-num\">10&nbsp;&nbsp;</span>Conclusioni</a></span></li></ul></div>"
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   "source": [
    "Introduzione e obbiettivi dell'analisi\n",
    "===\n",
    "Il tema delle uccisioni da parte degli ufficiali di polizia sta diventando sempre più attuale, soprattutto negli USA, dove di recente ha portato a grosse sollevazioni e moti di protesta contro un presunti (e non) uso eccessivo della violenza.\n",
    "\n",
    "La prima parte di questa analisi approfondirà questo argomento, analizzando il fenomeno sia da un punto di vista generale, sia spostando il focus sui singoli stati, per capire se in alcuni di essi esista una maggiore tendenza a fenomeni di questo tipo.\n",
    "\n",
    "Un altro aspetto rilevante riguarda il fatto che, sempre secondo una parte dell'opinione pubblica, la comunità afroamericana sia subisca maggiormente questo tipo di violenze: da qui la nascita di organizzazioni ad hoc, tra le quali la più celebre 'BlackLivesMatter'. Per questo motivo la seconda parte del report verterà sull'analisi di questa teoria, per valutare se trova effettivamente riscontro all'interno dei dati.\n",
    "\n",
    "Infine, nell'ultima parte, verranno presi in considerazione ulteriori fattori che potrebbero essere legati al numero di vittime delle autorità, come ad esempio il genere, l'età, il tipo di arma utilizzato e la presenza o meno di segni di malattie mentali."
   ]
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   "source": [
    "# importo le librerie\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import numpy as np\n",
    "import warnings\n",
    "from sklearn.preprocessing import minmax_scale\n",
    "import plotly.express as px\n",
    "import os\n",
    "\n",
    "# imposto grandezza grafici e righe dataframe\n",
    "plt.rcParams['figure.figsize'] = (15, 6)\n",
    "pd.set_option('display.max_rows', 10)"
   ]
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  {
   "cell_type": "code",
   "execution_count": 3,
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   "source": [
    "# carico i dataset\n",
    "kills = pd.read_csv('data/police_killings_aggiornato.csv')\n",
    "pop = pd.read_csv('data/PopulationByCity.csv')\n",
    "races = pd.read_csv('data/ShareRaceByCity.csv')\n",
    "incomes = pd.read_csv('data/MedianHouseholdIncome2015.csv',\n",
    "                      encoding='unicode_escape')\n",
    "poverty_level = pd.read_csv('data/PercentagePeopleBelowPovertyLevel.csv',\n",
    "                            encoding='unicode_escape')  # non presenta valori mancanti\n",
    "education = pd.read_csv('data/PercentOver25CompletedHighSchool.csv',\n",
    "                        encoding='unicode_escape')  # non presenta valori mancanti"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Pulizia dei dati\n",
    "===\n",
    "Spesso le fonti di dati utilizzate per le analisi presentano valori mancanti. In base alla collocazione e alla quantità, nel seguito verrà valutato come gestirli. Inoltre, gli elementi delle variabili di ogni dataset verranno convertiti nel tipo di dato più adatto.  \n",
    "Infine, sul dataframe \"races\" verranno applicate alcune tecniche di data manipulation per rimuovere dagli elementi della colonna \"city\" alcuni termini ridondanti.  \n",
    "La maggior parte dei dataframes utilizzati ai fini di questa analisi sono stati forniti da Kaggle. [Al dataset in questione](https://www.kaggle.com/kwullum/fatal-police-shootings-in-the-us) è stata integrata la versione aggiornata del dataframe costruito dal Washington Post, ed è stato corredato da un ulteriore dataframe (\"pop\"), contenente le popolazioni delle maggiori città statunitensi."
   ]
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   "source": [
    "Uccisioni della polizia\n",
    "---\n",
    "Il seguente dataframe è a sua volta tratto dal sito del Washington Post, il quale redige un elenco aggiornato di tutte le morti violente ad opera degli ufficiali di polizia dal gennaio del 2015. Ogni caso risulta provvisto di informazioni come il genere, l'età e l'etnia della vittima, oltre al modo in cui è stata uccisa, se stesse aggredendo gli ufficiali e numerosi altri dettagli."
   ]
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   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "name         4.06%\n",
       "armed        3.14%\n",
       "age          4.71%\n",
       "gender       0.06%\n",
       "race         11.3%\n",
       "flee         7.38%\n",
       "longitude    4.77%\n",
       "latitude     4.77%\n",
       "dtype: object"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# mostro tutte le righe\n",
    "pd.set_option('display.max_rows', None)\n",
    "\n",
    "# percentuale di missing values in ogni colonna sul totale\n",
    "round(kills.isna().sum()[kills.isna().sum() > 0] /\n",
    "      kills.shape[0] * 100, 2).astype(str) + '%'\n",
    "# le colonne non riportate non presentano Nan"
   ]
  },
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   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
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     "data": {
      "text/plain": [
       "0"
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     "execution_count": 6,
     "metadata": {},
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   ],
   "source": [
    "# rimpiazzo i valori mancanti\n",
    "kills.fillna(value=dict(name='Unknown', armed='unknown', age=kills.age.median(\n",
    "), race='unknown', flee='unknown', gender='unknown'), inplace=True)\n",
    "\n",
    "# elimino righe senza latitudine e longitudine, in quanto i valori sono difficilmente rimpiazzabili e costituiscono meno del 5% degli esempi nel dataset\n",
    "kills.dropna(subset=['latitude', 'longitude'], inplace=True)\n",
    "\n",
    "# controllo assenza missing values\n",
    "kills.isna().sum().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
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     "text": [
      "id int64 6269\n",
      "name object 6005\n",
      "date object 2245\n",
      "manner_of_death object 2\n",
      "armed object 96\n",
      "age float64 78\n",
      "gender object 3\n",
      "race object 7\n",
      "city object 2702\n",
      "state object 51\n",
      "signs_of_mental_illness bool 2\n",
      "threat_level object 3\n",
      "flee object 5\n",
      "body_camera bool 2\n",
      "longitude float64 5530\n",
      "latitude float64 4933\n",
      "is_geocoding_exact bool 2\n"
     ]
    }
   ],
   "source": [
    "# creo una funzione per mostrare le info necessarie delle colonne\n",
    "def data_info(data):\n",
    "    for column in data.columns:\n",
    "        print(column, data[column].dtype.name, len(data[column].unique()))\n",
    "\n",
    "\n",
    "# la applico al data frame kills\n",
    "data_info(kills)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
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    {
     "data": {
      "text/plain": [
       "id                                  int64\n",
       "name                               object\n",
       "date                       datetime64[ns]\n",
       "manner_of_death                  category\n",
       "armed                            category\n",
       "age                               float64\n",
       "gender                           category\n",
       "race                             category\n",
       "city                               object\n",
       "state                            category\n",
       "signs_of_mental_illness              bool\n",
       "threat_level                     category\n",
       "flee                             category\n",
       "body_camera                          bool\n",
       "longitude                         float64\n",
       "latitude                          float64\n",
       "is_geocoding_exact                   bool\n",
       "dtype: object"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# lista colonne da convertire\n",
    "col_to_conv = ['manner_of_death', 'armed', 'gender',\n",
    "               'race', 'state', 'threat_level', 'flee']\n",
    "\n",
    "# itero sulle colonne\n",
    "for column in col_to_conv:\n",
    "    # converto il dtype delle colonne\n",
    "    kills[column] = kills[column].astype('category')\n",
    "\n",
    "# converto le date in datetime objects\n",
    "kills.date = pd.to_datetime(\n",
    "    kills.date, infer_datetime_format=True, errors='coerce')\n",
    "\n",
    "# unisco valori simili\n",
    "kills.armed.replace(\n",
    "    {'undetermined': 'unknown', 'unknown weapon': 'unknown'}, inplace=True)\n",
    "\n",
    "# stampo i nuovi tipi di colonne\n",
    "kills.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
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    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# creo una heatmap per mostrare la correlazione\n",
    "sns.heatmap(data = kills.corr(), cmap = 'inferno')\n",
    "\n",
    "# aggiungo un titolo\n",
    "plt.title('Correlazione tra fattori numerici delle uccisioni', size = 18)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Popolazione\n",
    "---\n",
    "Questo dataset registra la popolazione delle maggiori città americane, assieme alle loro coordinate geografiche e lo stato di appartenenza.  \n",
    "Nel seguito, essendo le coordinate mancanti per molte città, si è scelto di mantenere le righe sprovviste di latitudine e longitudine per non incrementare ulteriormente la perdita di informazione."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "lat    21.33%\n",
       "lng    21.33%\n",
       "dtype: object"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# percentuale di missing values in ogni colonna sul totale\n",
    "round(pop.isna().sum()[pop.isna().sum() > 0] /\n",
    "      pop.shape[0] * 100, 2).astype(str) + '%'\n",
    "# le colonne non riportate non presentano Nan"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# in questo caso le righe con dati mancanti verranno mantenute, in quanto possono essere utili per la EDA, cosituendo più del 20% dei dati totali. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "city object 2505\n",
      "state object 51\n",
      "population float64 2262\n",
      "lat float64 2215\n",
      "lng float64 2218\n"
     ]
    }
   ],
   "source": [
    "# dtypes e valori unici\n",
    "data_info(pop)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "city            object\n",
       "state         category\n",
       "population       int32\n",
       "lat            float64\n",
       "lng            float64\n",
       "dtype: object"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# converto 'state' in categorica\n",
    "pop.state = pop.state.astype('category')\n",
    "\n",
    "# converto population in int\n",
    "pop.population = round(pop.population).astype(int)\n",
    "\n",
    "# stampo i dtypes delle series\n",
    "pop.dtypes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Composizione razziale\n",
    "---\n",
    "Il dataset \"races\" contiene la quota di popolazione bianca, asiatica, nera, ispanica e nativa per ognuna delle città presenti."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "_cell_guid": "38dfb12a-a6c8-4451-baf1-5775ac32a56a",
    "_uuid": "142bb297-66c8-46c6-ba81-9c508c50d36a",
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [],
   "source": [
    "# lista dei termini da eliminare dai nomi delle città\n",
    "stopwords = [' town', ' city', ' CDP', ' village']\n",
    "\n",
    "# creo una funzione per eliminare le stopwords\n",
    "def name_cleaner(city):\n",
    "    for word in stopwords:\n",
    "        if word in city:\n",
    "            city = city.replace(word, '')\n",
    "    return city\n",
    "\n",
    "\n",
    "# applico la funzione alla colonna 'City'\n",
    "races['city'] = races.City.apply(lambda city: name_cleaner(city))\n",
    "\n",
    "# elimino la vecchia colonna\n",
    "races.drop(columns='City', inplace=True)\n",
    "\n",
    "# rinomino la colonna 'Geographic area' come 'state'\n",
    "races = races.rename(columns={'Geographic area': 'state'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Series([], dtype: object)"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# percentuale di missing values in ogni colonna sul totale\n",
    "round(races.isna().sum()[races.isna().sum() > 0]/races.shape[0] * 100, 2).astype(str) + '%'\n",
    "# le colonne non riportate non presentano Nan"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "state object 51\n",
      "share_white object 997\n",
      "share_black object 926\n",
      "share_native_american object 628\n",
      "share_asian object 409\n",
      "share_hispanic object 956\n",
      "city object 19940\n"
     ]
    }
   ],
   "source": [
    "# stampo info colonne races\n",
    "data_info(races)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "races.replace(to_replace= '(X)', value = np.nan, inplace= True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "state                    category\n",
       "share_white               float64\n",
       "share_black               float64\n",
       "share_native_american     float64\n",
       "share_asian               float64\n",
       "share_hispanic            float64\n",
       "city                       object\n",
       "dtype: object"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# itero sulle colonne di races\n",
    "for column in races.columns:\n",
    "    # se la colonna contiene una quota\n",
    "    if column[:6] == 'share_':\n",
    "        # converto la colonna in tipo float\n",
    "        races[column] = races[column].astype(float)\n",
    "\n",
    "# converto colonna state in categorica\n",
    "races.state = races.state.astype('category')\n",
    "\n",
    "# stampo i dtypes\n",
    "races.dtypes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Reddito\n",
    "---\n",
    "\"incomes\" rileva il reddito medio dei cittadini di ogni città."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "# sostituisco '(X)' con valori mancanti\n",
    "incomes.replace({'(X)': np.nan, '-': np.nan, '2,500-': '2500', '250,000+': '250000'}, inplace= True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Median Income    6.49%\n",
       "dtype: object"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# percentuale di missing values in ogni colonna sul totale\n",
    "round(incomes.isna().sum()[incomes.isna().sum() > 0]/incomes.shape[0] * 100, 2).astype(str) + '%'\n",
    "# le colonne non riportate non presentano Nan"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Geographic Area object 51\n",
      "City object 24249\n",
      "Median Income object 14591\n"
     ]
    }
   ],
   "source": [
    "# stampo info di incomes\n",
    "data_info(incomes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Geographic Area    category\n",
       "City                 object\n",
       "Median Income       float64\n",
       "dtype: object"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# converto colonna stati in categorica\n",
    "incomes['Geographic Area'] = incomes['Geographic Area'].astype('category')\n",
    "\n",
    "# converto Median Income in numerica\n",
    "incomes['Median Income'] = incomes['Median Income'].astype(float)\n",
    "\n",
    "# stampo i dtypes del dataframe\n",
    "incomes.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "# rimpiazzo valori mancanti di Median Income con la mediana\n",
    "incomes.fillna({'Median Income' : incomes['Median Income'].median()}, inplace = True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Livello di povertà\n",
    "---\n",
    "\"poverty_level\" contiene la quota di persone sotto la soglia di povertà per ogni città presente nel dataframe. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "# sostituisco '-' con valori mancanti\n",
    "poverty_level.replace({'-': np.nan}, inplace= True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "poverty_rate    0.69%\n",
       "dtype: object"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# percentuale di missing values in ogni colonna sul totale\n",
    "round(poverty_level.isna().sum()[poverty_level.isna().sum() > 0]/poverty_level.shape[0] * 100, 2).astype(str) + '%'\n",
    "# le colonne non riportate non presentano Nan"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "# essendo gli esempi con valori mancanti inferiori all'1%, elimino le righe corrispondenti\n",
    "poverty_level.dropna(inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Geographic Area object 51\n",
      "City object 24084\n",
      "poverty_rate object 770\n"
     ]
    }
   ],
   "source": [
    "# stampo info poverty_level\n",
    "data_info(poverty_level)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Geographic Area    category\n",
       "City                 object\n",
       "poverty_rate        float64\n",
       "dtype: object"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# converto poverty_rate in float\n",
    "poverty_level.poverty_rate = poverty_level.poverty_rate.astype(float)\n",
    "\n",
    "# converto stati in categorica\n",
    "poverty_level['Geographic Area'] = poverty_level['Geographic Area'].astype('category')\n",
    "\n",
    "# stampo i dtypes\n",
    "poverty_level.dtypes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Livello di istruzione\n",
    "---\n",
    "Le città del dataframe \"education\" sono provviste della percentuale di cittadini che hanno completato la high school. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "# sostituisco '-' con valori mancanti\n",
    "education.replace({'-': np.nan}, inplace= True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "percent_completed_hs    0.67%\n",
       "dtype: object"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# percentuale di missing values in ogni colonna sul totale\n",
    "round(education.isna().sum()[education.isna().sum() > 0]/education.shape[0] * 100, 2).astype(str) + '%'\n",
    "# le colonne non riportate non presentano Nan"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "# essendo gli esempi con valori mancanti inferiori all'1%, elimino le righe corrispondenti\n",
    "education.dropna(inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Geographic Area object 51\n",
      "City object 24089\n",
      "percent_completed_hs object 727\n"
     ]
    }
   ],
   "source": [
    "# stampo info education\n",
    "data_info(education)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Geographic Area         category\n",
       "City                      object\n",
       "percent_completed_hs     float64\n",
       "dtype: object"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# converto colonna in tipo float\n",
    "education.percent_completed_hs = education.percent_completed_hs.astype(float)\n",
    "\n",
    "# converto stati in categorica\n",
    "education['Geographic Area'] = education['Geographic Area'].astype('category')\n",
    "\n",
    "# stampo i dtypes\n",
    "education.dtypes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_cell_guid": "20bc46ba-4014-4756-ac32-688075cb9354",
    "_uuid": "65184045-d56e-4abb-92fc-4a705a9c0359"
   },
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_cell_guid": "bc11f36b-48f4-4910-85d7-feebf610665f",
    "_uuid": "e62e4c6e-784e-489c-8cbe-2958cffef047"
   },
   "source": [
    "Maggior numero di vittime\n",
    "===\n",
    "In questa sezione metteremo in risalto gli stati con il maggior (e il minor) numero di uccisioni in rapporto alla popolazione; in questo capitolo dell'analisi **non** distingueremo in base all'etnia di appartenenza delle vittime."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "_cell_guid": "de116b3b-72f6-4179-b711-9ca9858fc761",
    "_uuid": "0bed3336-57b3-42f8-9ed7-f62cef1f1bc8",
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [],
   "source": [
    "# creo dataframe con numero di vittime per ogni stato\n",
    "kills_per_state = pd.DataFrame(kills.state.value_counts())\n",
    "# rinomino la colonna 'state'\n",
    "kills_per_state.rename(columns = {'state':'kills'}, inplace = True)\n",
    "# rinomino l'indice\n",
    "kills_per_state.index.rename('state', inplace = True)\n",
    "\n",
    "# creo dataframe con popolazione per ogni stato\n",
    "pop_per_state = pop.groupby('state').population.sum().to_frame()\n",
    "pop_per_state.head()\n",
    "\n",
    "# unisco i due dataframe\n",
    "pop_kills = pop_per_state.merge(kills_per_state, on = 'state')\n",
    "\n",
    "# creo nuova colonna con tasso di uccisioni per stato\n",
    "pop_kills['kills_per_10k'] = pop_kills.kills/pop_kills.population * 10000\n",
    "\n",
    "# ordino il dataframe in base al tasso di uccisioni\n",
    "pop_kills.sort_values(by = 'kills_per_10k',ascending = False, inplace = True)\n",
    "\n",
    "# reimposto l'indice\n",
    "pop_kills.reset_index(inplace= True)"
   ]
  },
  {
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   "execution_count": 35,
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    "hide_input": false
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         "text": "KILLS EVERY 10K INHABITANTS BY STATE"
        },
        "width": 850
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   ],
   "source": [
    "# creo una mappa\n",
    "fig = px.choropleth(data_frame = pop_kills, locations = 'state', locationmode = 'USA-states', scope = 'usa', color = 'kills_per_10k', color_continuous_scale = 'inferno_r', title = 'KILLS EVERY 10K INHABITANTS BY STATE')\n",
    "\n",
    "# modifico aspetto\n",
    "fig.update_layout(geo_showlakes = False)\n",
    "\n",
    "# imposto elementi del grafico\n",
    "fig.update_layout(width = 850, margin = dict(t = 50, b = 0, l = 0, r = 0))\n",
    "\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Dalla mappa è facile notare come gli stati in cui è maggiore la tendenza a fare vittime presentino le più disparate posizioni: nel Maine (costa nordorientale) si registra un alto numero di vittime rispetto alla popolazione, così come nel New Mexico, situato al confine merdidionale. La collocazione geografica dello stato non sembra essere correlata al numero di vittime.  \n",
    "La mappa è stata costruita in modo che lo stato con il colore più scuro corrisponda a quello dove sono state riportate le maggiori uccisioni in rapporto alla popolazione, ovvero l'Alaska. Gli stati più virtuosi assumono le tonalità più chiare, come ad esempio il Massachussets e lo stato di New York, ma anche alcuni più centrali come l'Illinois."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_cell_guid": "53dfb830-b485-4232-8c0c-56f6b5097270",
    "_uuid": "5d4c6f5f-3c5c-48e7-b461-493e53008c1f"
   },
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_cell_guid": "532c8184-922e-4e5e-aac0-6f12f80e07f5",
    "_uuid": "5c4e37da-6fde-480c-8246-5e3146e8d4b2"
   },
   "source": [
    "Analisi generale razzismo\n",
    "===\n",
    "Ora che abbiamo analizzato in generale quali sono gli stati più \"pericolosi\" metteremo in luce le differenze tra le quote di cittadini statunitensi di ogni razza e le quote di vittime di ogni razza rispetto al totale delle vittime. In altre parole paragoneremo la presenza di ogni etnia tra le vittime con quella nella popolazione, per individuare eventuali squilibri."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "_cell_guid": "d68f7418-3270-4145-830d-28d1769195fa",
    "_uuid": "6d4415c6-c28e-42e9-b566-b927fee15e30"
   },
   "outputs": [],
   "source": [
    "# calcolo il numero di vittime per ogni razza sul totale delle vittime\n",
    "\n",
    "# totale vittime per razza\n",
    "kills_per_race = kills.race.value_counts() \n",
    "\n",
    "# divido il totale di ogni razza per il totale delle vittime\n",
    "kills_rate = pd.DataFrame(kills_per_race/kills_per_race.sum())\n",
    "\n",
    "# rinomino la colonna con i tassi di uccisione per ogni razza\n",
    "kills_rate.rename(columns = {'race':'rate'}, inplace = True)\n",
    "\n",
    "# rinomino l'indice\n",
    "kills_rate.index.rename('race', inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "_cell_guid": "518ffbed-193f-47d2-a33e-9434a26cd52b",
    "_uuid": "2fc72c2b-3728-42c1-947d-4355aaff77ce",
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [],
   "source": [
    "# creo races_pop che contiene la popolazione e le quote di razza per ogni città\n",
    "races_pop = pop.merge(races, on = ['state','city'])\n",
    "\n",
    "# creo colonne con totale abitanti per ogni razza di ogni città\n",
    "for race_share in races_pop.columns[races_pop.columns.get_loc('share_white'):]:\n",
    "    race_name = race_share[race_share.index('_') + 1 : ]\n",
    "    tot_race = 'tot_' + race_name\n",
    "    races_pop[tot_race] = races_pop[race_share].astype(float)/100 * races_pop.population\n",
    "\n",
    "# arrotondo il numero (sono persone, non possono essere numeri decimali) \n",
    "races_pop.loc[:,'tot_white':].round(decimals = 0)\n",
    "\n",
    "# trasformo i numeri in interi\n",
    "races_pop.loc[:,'tot_white':] = races_pop.loc[:,'tot_white':].astype(int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "_cell_guid": "c43fbb32-904a-4894-a5c1-f9d3b17f541f",
    "_uuid": "a99a6cc9-3bc6-4ec6-a87b-15bc7e68b72d",
    "jupyter": {
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   },
   "outputs": [],
   "source": [
    "# calcolo le quote di ogni razza nella popolazione\n",
    "pop_race_shares = races_pop.loc[:,'tot_white':].sum()/races_pop.loc[:,'tot_white':].sum().sum()\n",
    "\n",
    "# creo un data frame con le quote\n",
    "pop_race_shares = pop_race_shares.to_frame()\n",
    "\n",
    "# rinomino la colonna\n",
    "pop_race_shares.rename( columns = {0:'rate'}, inplace = True)"
   ]
  },
  {
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   "execution_count": 41,
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    "jupyter": {
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   },
   "outputs": [
    {
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",
      "text/plain": [
       "<Figure size 1080x432 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# imposto lo stile \n",
    "sns.set_style('darkgrid')\n",
    "\n",
    "# creo subplots\n",
    "fig, ax = plt.subplots(nrows = 1, ncols = 2, figsize = (15,6), sharex = True)\n",
    "\n",
    "# inserisco il titolo\n",
    "fig.suptitle('Police victims composition vs. population composition', fontsize = 20)\n",
    "\n",
    "# creo barplot per la quota di vittime per razza\n",
    "sns.barplot(ax = ax[0], data = kills_rate, y = kills_rate.index, x = 'rate', palette = 'plasma', edgecolor = 'black', order = ['W', 'B', 'H', 'A', 'N'])\n",
    "\n",
    "# barplot quote razze nella popolazione\n",
    "sns.barplot(ax = ax[1], data = pop_race_shares, x = 'rate', y = pop_race_shares.index, palette = 'plasma', edgecolor = 'black', order = ['tot_white', 'tot_black', 'tot_hispanic', 'tot_asian', 'tot_native_american'])\n",
    "\n",
    "# imposto titoli dei grafici\n",
    "ax[0].set_title('Victims\\' Composition', fontsize = 17)\n",
    "ax[1].set_title('Population\\'s Composition', fontsize = 17)\n",
    "\n",
    "# imposto titoli assi x\n",
    "ax[0].set_xlabel('Rate', size = 15)\n",
    "ax[1].set_xlabel('Rate', size = 15)\n",
    "\n",
    "# imposto titoli assi y\n",
    "ax[0].set_ylabel('Race', size = 15)\n",
    "\n",
    "# imposto xticks\n",
    "ax[0].set_yticklabels(['Whites', 'Blacks', 'Hispanics', 'Asians', 'Natives'], size = 12, rotation = 45)\n",
    "ax[1].set_yticklabels(['Whites', 'Blacks', 'Hispanics', 'Asians', 'Natives'], size = 12, rotation = 45)\n",
    "\n",
    "# mostro il grafico\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_cell_guid": "5379fa25-4b42-4a1d-b512-379473e3fc48",
    "_uuid": "cd4854ab-1132-4af8-9340-b05de5d3cbaf"
   },
   "source": [
    "Dal grafico emerge come la quota di vittime afroamericane sia maggiore rispetto alla loro quota all'interno della popolazione.\n",
    "Questo fatto può avere portato alla nascita dei movimenti contro la violenza della polizia quali ad esempio 'BlackLivesMatter'.\n",
    "\n",
    "L'analisi del prossimo paragrafo approfondirà ulteriormente questo tema."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_cell_guid": "2d3abf7e-ad50-4718-849e-833cffae9c7d",
    "_uuid": "70923fb3-2425-4377-aa28-4dc220868d27"
   },
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_cell_guid": "ab7ffcec-7916-4d39-966b-5b8f3e865735",
    "_uuid": "fda7090a-f09a-432c-8580-fa336494ecc0"
   },
   "source": [
    "BlackLivesMatter\n",
    "===\n",
    "Di seguito analizzeremo i dati, per capire se si possa parlare di un vero e proprio fenomeno di razzismo, o se si tratti di casi isolati.\n",
    "\n",
    "In questa sezione verrà analizzata la situazione nei diversi stati. In questo caso rapportare le vittime nere con la popolazione afroamericana di ogni stato non avrebbe molto senso perchè, come abbiamo visto, il tasso di vittime generale della polizia varia da stato a stato: un alto rapporto tra vittime nere e popolazione afroamericana potrebbe essere sintomo di una tendenza generalizzata della poliza di quello stato a fare più vittime, indipendentemente dalla razza.\n",
    "\n",
    "Per questo confronteremo per ogni stato la quota di vittime nere sul totale delle vittime e il tasso di afroamericani nella popolazione, cercando gli stati in cui si riscontrano maggiori differenze. In sostanza, estenderemo il ragionamento portato avanti nel capitolo precedente per ognuno degli stati americani."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "_cell_guid": "97450987-d9d1-4a7d-a214-8706244031e2",
    "_uuid": "ff79fb03-6bd8-42ad-a717-52bbfa8f3a31"
   },
   "outputs": [],
   "source": [
    "# totale afroamericani e popolazione di ogni stato\n",
    "blacks_by_state = races_pop.groupby('state')[['tot_black','population']].sum()\n",
    "\n",
    "# quota di neri per stato\n",
    "blacks_by_state['shares'] = blacks_by_state.tot_black / blacks_by_state.population\n",
    "\n",
    "# percentuale di neri per stato\n",
    "blacks_by_state['percentage'] = (blacks_by_state.shares * 100).round(decimals = 1)\n",
    "\n",
    "# ordino in base alle shares di afroamercani\n",
    "blacks_by_state = blacks_by_state.sort_values(by = 'shares', ascending = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "_cell_guid": "d32883eb-a49f-43ce-8358-ab8caa17e919",
    "_uuid": "4112259e-0dfe-4129-9be0-11a2bd58c969",
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [],
   "source": [
    "# numero di vittime per razza per ogni stato\n",
    "kills_state_race = kills.pivot_table(kills, index = 'state', columns = 'race', aggfunc = 'size', fill_value = 0)\n",
    "\n",
    "# creo colonna con vittime totali per ogni stato\n",
    "kills_state_race['total'] = kills_state_race.sum(axis = 1)\n",
    "\n",
    "# quota di afroamericani sul totale delle vittime di ogni stato\n",
    "kills_state_race['% black kills'] = (kills_state_race.B / kills_state_race.total * 100).round( decimals = 1)\n",
    "\n",
    "# ordino il dataframe per '% black kills'\n",
    "kills_state_race = kills_state_race.sort_values(by = '% black kills', ascending = False)\n",
    "\n",
    "# per coerenza col dataframe precedente elimino il DC dagli stati\n",
    "kills_state_race = kills_state_race.drop(index = 'DC')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "_cell_guid": "c54816fa-8644-4357-a52f-f6c434fb112d",
    "_uuid": "e3b5844c-c0f6-4e0c-8a84-1191df0caf8a"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x1080 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# visualizzazione\n",
    "fig, ax = plt.subplots(nrows = 1, ncols = 2, figsize = (15,15), sharey = True)\n",
    "\n",
    "# afroamericani sul totale delle vittime per stato\n",
    "sns.barplot(data = kills_state_race, x = '% black kills', y = kills_state_race.index, ax = ax[0], order = kills_state_race.index.to_list() ,palette = 'plasma', edgecolor = 'black')\n",
    "\n",
    "# percentuale di afroamericani nella popolazione per stato\n",
    "sns.barplot(data = blacks_by_state, x = 'percentage', y = blacks_by_state.index, ax = ax[1], palette = 'plasma', order = kills_state_race.index.to_list(), edgecolor = 'black')\n",
    "\n",
    "# imposto titoli grafici\n",
    "ax[0].set_title(label = '% afroamericani sul totale delle vittime', fontsize = 18)\n",
    "ax[1].set_title(label = '% afroamericani nella popolazione', fontsize = 18)\n",
    "\n",
    "# imposto titoli assi x\n",
    "ax[0].set_xlabel('Percentuale', size = 15)\n",
    "ax[1].set_xlabel('Percentuale', size = 15)\n",
    "\n",
    "# imposto titoli assi y\n",
    "ax[0].set_ylabel('Stato', size = 15)\n",
    "ax[1].set_ylabel('Stato', size = 15)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Da questi grafici emergono forti disuguaglianze ma il confronto rimane difficoltoso. Per avere una visione più chiara possiamo calcolare la differenza tra la percentuale di neri uccisi e la loro quota nella popolazione."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "_cell_guid": "4cb8013d-280d-438a-a440-b2b706fa993e",
    "_uuid": "e062730c-2e4a-42f0-a4d2-259a696e1149",
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [],
   "source": [
    "# differenze tra % di vittime e quota della poplazione per ogni stato\n",
    "differences = kills_state_race['% black kills'] - blacks_by_state.percentage\n",
    "\n",
    "# ordino la serie\n",
    "differences = differences.sort_values(ascending = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "_cell_guid": "8cc8cc96-49a8-4cfd-9bf1-43761a5b0023",
    "_uuid": "948f0ec0-8065-4947-95f2-a76ddb63b2f3",
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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Lls2uc7xYe+8cPW9ZcvuGhg0b6siRI3rw4IF27tyZ5umRiYcSBwcHq2XLlmnu89atW9q3b59WrVqlHj16KDIy0ryODhs2TJ9++qnGjx+viIiIZL9sW5Pc65B02tfMmTNtqmVtXXjrrbcUEhKiOXPm6O+//zb/Rc5Wzz33nFasWKGuXbtq2LBh5n7z5MmjatWq2fV+2bJ+5cuXTyVLltTx48e1ceNGh6cA3r59Wx9++KHGjx+vMWPG6O7du3bXsLbfHTFihLZs2aIzZ844XDdHjhy6deuWeSpKgoT3MzW2rAuJ17FSpUrZ1W9y68KBAwfUunVrLVu2TPv371fFihXtGtmb0rb28OFDDRo0SG+99Vaqn3XJSekzLV++fLp8+fJjy9vy2trjypUrKliwoN33S9iHrVq1SsuWLVORIkWccpxj63GDM+smnvaV+LxYtki6f4yLi3vs/YyJidH27dvTXDNBtWrV9Ouvv+rGjRu6efOmChcubHPN1D4nunTpouXLl+vs2bN29Wmt38QuX75s03pm6+d6yZIlVbJkSbVp08buflNaF9avX6/Q0FD16NHDfNxny7maEtjyWTls2DCb6124cEFeXl6aMmWKvvvuO02fPl3jxo3TzZs3H1vW3u046fcUe0dd2NNv4cKFLc6HJEnff/+93cF7YleuXFG1atUe++5iz/mUUtr3OmtkZVKenp6aMmWKxowZY/f0pIIFC1p8Xi5cuNA8Dfa7777T3bt3NXToUL377ruKi4vTZ599ZnPt1PYNjkpuW3vw4IF++eUXvfPOO9q4caO+/PJLXblyRevWrXNKfWe5cuWKWrVq9dg6cuPGDbtPj/PUhT8JcufOrenTp2vMmDEObZD/ho0bN2rRokVatmyZli1bpjFjxjg0TK1Ro0YqUaKE1WHqtvL29tbdu3e1atUq+fn5acOGDRo8eLC535UrV2rTpk1pnvuZtOfo6GjzCfEiIiKUN29epzwPRxUtWlRRUVEKDg7Wf/7znxSXW7JkiV5//XWbajZs2FDff/+9+QSuMTExCgwM1G+//aYKFSooODhYy5Yt08aNG/XPP//YdLLUOnXq6JNPPjGPFEk4wIqLi9Px48fTXNeagIAALV++PE1f8F588UX99ttv5m31wYMHOnz4sMqXL+9wX4nFxMTo888/1+rVq83rb+/eve0KrRo3bqwff/zRfBJH6VGglDt3bhUtWlSlS5eWJE2cOFEbN26061wRqb13uXLlsrlOSpLuGzw8PPTqq69qwYIFevHFF53yGI7avn27/Pz8tHz5ci1btkzr16/X/v37LebT169fX40bN9YHH3yQpsdw1j7S2rqQoEKFCurVq5eGDBli1zmmihcvrkyZMqlLly7y8PCwK0xMji3rV/v27bV161b9/PPPqlevnkOPN3LkSHXu3Fn+/v5q0qRJmn7QwNp+18vLSxMmTNCHH37ocF0PDw+9/vrrmjVrlvl9unTpkj799FO1bds21Xq2rgtpldy6sGrVKvMoO09PT5UuXdquv/KmtK2NGTNGxYsXt/ncgIml9Jl27tw5/f333xYHmfv27dOFCxfsHumQkv379ytz5sxpCn+SctZxjq3HDfZKr7qS5f6xQIECyp07t3bv3m2+fdWqVfrmm2/SXDOBi4uL6tevr4CAAIvpgLZI7XOidOnScnd314wZMzRt2jS7TpSaWr8J4uLitHz5crVo0cKmWun9uZ7cunDjxg39/PPP2rBhg5YtW6ZVq1apSZMmdn/mOfP7xJkzZzRhwgTzNlSiRAnlyJHjsXPPpGU7Tvo9xRlS6rdVq1ZasGCB+Y8Ef/75p8aMGZPmc1FGRkZqw4YNatasmUP9prTvtWe6n73Kly+vli1b2j36tnHjxvrpp5904sQJ83UXLlzQ1atX9cUXX2jSpEnmfe/s2bPtOka35RgyrZLb1lxdXTVs2DD9+eefkh6dz6xw4cJpGnGVXvv1hHWsefPmCg0NNR+nxMfHa968eXaP3rLtZBZPSKlSpWQymcwnUnOWDz/8ULNnz5b0aGdg61+Jk/Prr7+qdOnS5i+MktS0aVNNmTJFYWFhaf6L2OjRo3XgwIE095WUn5+fpk+frm+//VbNmjWz+GvK888/r7Jly+rLL790aH5iQs/R0dE6dOiQ/P39lTt3boe/gCQ4d+6cxQH8iBEj7D7obN68ubZt26YSJUpYnISse/fucnV1VVxcnF566SUNHz7cpnpeXl4KDAzUmDFjFB8fr7t376phw4b66aefHpsm0a5dO61evVoTJ05MtWbt2rU1ZswYTZs2TdKjLwXZs2fXSy+9pPXr16e5rjV58uTRiBEj7J47Kj16HUaMGKE+ffooc+bMiomJkclkUvHixR3qSXp0IJHwvt+6dUvly5e3OOBq27at3njjDQ0aNMimoY/ZsmUznzvr5s2bevjwoby9vfXRRx9Z/JU1Z86cmjp1qoYOHarNmzcrX758Vmun9t45S9J9Q/v27dWiRQu7f50gvWzYsMH8/KVHJ61/7bXXtHHjRnXp0sV8fb9+/dSmTRt99913atCggd2Pk/h1SBjKntiQIUOsDrm1dV2QHr3OX3zxhdasWaPOnTvb3e/kyZPVunVrVatWTa+88ord95dsW7/q1q2riRMn2nSi59QsX75crq6u5gBhwIAB6ty5s7Zu3Wr3CLOU9rsJatasqRYtWui3335zuO57772nuXPnqkOHDvLw8JCnp6cmTZpkNcCxZ11wVMK68N5772nXrl0KCgpS5syZlTt3bgUEBNhcJ7ltrX79+tq8ebOqVq1qsU00bdrUYvtLSUqfaZ06dVKzZs00efJkffLJJ5Ie/fV38eLFDp3Af/r06VqyZIlcXV2VLVs287GZI6Kjo7Vjxw6nHedYW3/TytrxSII333zT4pw9tki8f5w2bZomTJig5cuXKyYmRsWKFUvTcXVyx6WtWrVSu3btbD6HUAJbPieKFi2qYcOG6d1339WGDRvsntqQ3GeEi4uLYmNjVbt2bZvPYfZvfK4nXRcOHz6s9u3bW2xbHTp00PDhw83Pw1bO+j7x2muv6fz582rXrp2yZs2q+Ph4DR8+XLt373bKdpzwPSWlqWTO6vfVV1/VrVu31KlTJ3l4eOjhw4eaPn26XX+oTphm6urqqocPH2rAgAHy9PQ0T/tKbPLkyTb9ASG1fW966tu3r92vecLI+JkzZ2rGjBmKjY2Vm5ubRowYocDAQNWtW9e8bLVq1fTgwQMdO3bssV8kTU5q+4YLFy44/P096bbm4eGh2bNna9SoUYqNjZWLi4sqVqyY5hDSWZ8Xya1jJUuW1Jw5czRhwgTdu3dPUVFRqlKlit0/lOAS7+yfaQIAAAAAAMBT46md9gUAAAAAAADHEf4AAAAAAAAYGOEPAAAAAACAgRH+AAAAAAAAGBjhDwAAAAAAgIER/gAAgGdeSEhIqrefOXNGhw8f/pe6AQAAcC7CHwAA8MxbuHBhqrd/9dVX+v333/+lbgAAAJzL/Uk3AAAA8G/6888/NXLkSLm7uysuLk61a9fWrVu3FBAQoPfee0+jR4/WnTt3FBERoU6dOqlx48basmWLPDw8VL58ed2/f1+zZs2Sm5ubihYtqgkTJsjDw+NJPy0AAIAUucTHx8c/6SYAAAD+LatXr9aFCxc0bNgwHTlyRHnz5lW3bt20f/9+/fLLL7p8+bJee+01hYeHy2Qy6auvvtLcuXOVL18++fv7q1mzZvr000+VN29ezZ49W88//7w6dOjwpJ8WAABAihj5AwAAnint2rXTkiVL1LNnT2XPnl2DBw8235YvXz6tXLlSX331lby8vBQbG2tx3+vXrysiIkKDBg2SJN2/f1+1a9f+N9sHAACwG+EPAAB4pnzzzTeqVq2a+vfvrx07dmjp0qVKGAi9fPlyValSRZ06ddKBAwe0d+9eSZKLi4vi4uKUO3duFSxYUAsWLFD27Nn1zTffKGvWrE/y6QAAAFjFtC8AAPBMuXjxot5//315eHgoLi5OI0eOVGBgoAoUKKB27dpp0qRJypUrl7Jnz65z587p888/148//qhp06Zp7Nixio2N1fz58xUfH69s2bJp2rRpyps375N+WgAAACki/AEAAAAAADAwfuodAAAAAADAwAh/AAAAAAAADIzwBwAAAAAAwMAIfwAAAAAAAAyM8AcAAAAAAMDACH8AAAAAAAAMjPAHAAAAAADAwAh/AAAAAAAADOz/AdhS9KJzNZzbAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1440x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# scalo i valori\n",
    "scaled_diff = minmax_scale(differences)\n",
    "\n",
    "# creo una figura\n",
    "plt.figure(figsize = (20,8))\n",
    "\n",
    "# barplot per le differenze\n",
    "sns.barplot(y = scaled_diff, x = differences.index, edgecolor = 'black', palette= 'inferno', order = differences.index.to_list())\n",
    "\n",
    "# titolo del grafico\n",
    "plt.title('Differences between black quotes and black killings', fontsize = 16)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_cell_guid": "fac4892d-be8b-46c2-ac63-a6c1c2cc392c",
    "_uuid": "516e31c9-4ec9-468f-82e8-74396336b9bd"
   },
   "source": [
    "Gli stati in cui la quota di neri uccisi è sensibilmente più alta rispetto alla loro percentuale nella popolazione sono lo stato di Rhode Island, l'Illinois, il New York e il New Jersey.  \n",
    "E' interessante notare come approfondendo l'analisi, alcuni stati, che in prima istanza sembravano essere tra i più virtuosi, risultano presentare i maggiori problemi sotto questo particolare aspetto.\n",
    "\n",
    "Inoltre ciò che accoumuna molti degli stati più critici è che sono tutti situati sulla costa orientale (tranne l'Illinois) e sono a maggioranza democratica, rivelando una possibile correlazione dal punto di vista politico e geografico che non era emersa precedentemente.\n",
    "\n",
    "Ovviamente bisognerebbe condurre analisi più approfondite prima di stabilire definitivamente una correlazione tra il fattore geopolitico e il tasso di vittime della polizia.\n",
    "\n",
    "Si può anche notare come in Alabama, Mississipi e Michigan i tassi di vittime afroamericane rispetto alla quota della popolazione siano i più bassi in assoluto."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_cell_guid": "04aac2ab-dba9-4631-be82-17d8cffb7276",
    "_uuid": "0baf3eda-760a-4b2d-ae25-56fa6a9f75a1"
   },
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_cell_guid": "bdc713e5-3cfb-4bd8-9ee6-cda050350e79",
    "_uuid": "4bea22e9-5027-48fa-9369-a32ecd2e7f2a"
   },
   "source": [
    "Altre variabili \n",
    "===\n",
    "In questa sezione analizzeremo come varia l'età delle vittime in base al genere e al fatto che mostrino o meno segni di malattie mentali; studieremo il livello di minaccia dei vari episodi e le armi più utilizzate dalla polizia."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "_cell_guid": "4429c08c-3bb4-4268-be5e-ba733b3d6159",
    "_uuid": "a6f47f5d-5586-47a8-8692-0f42b06bd451",
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864x1440 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# ignoro warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "\n",
    "# aumento grandezza del testo\n",
    "sns.set(font_scale = 1.2)\n",
    "\n",
    "# creo dei subplots\n",
    "fig, axis = plt.subplots(nrows = 3, ncols = 2, figsize = (12, 20))\n",
    "\n",
    "# vittime per genere\n",
    "sns.countplot(kills.gender, edgecolor = 'black', ax = axis[0,0])\n",
    "# imposto titoli\n",
    "axis[0,0].set(title = 'Kills by gender', xlabel = 'Gender', ylabel = 'Count', xticklabels = ['Male', 'Female','Unknown'])\n",
    "\n",
    "# rappresento come varia distribuzione di età in base al genere\n",
    "sns.violinplot(data = kills, y= 'gender', x = 'age', ax = axis[0,1], order = ['M', 'F'])\n",
    "# imposto titoli\n",
    "axis[0,1].set(title = 'Gender distribution by age', xlabel = 'Age', ylabel = 'Gender', yticklabels = ['Male', 'Female'])\n",
    "\n",
    "# estraggo le 10 armi più utilizzate\n",
    "armed = kills.armed.value_counts()[0:10]\n",
    "# creo un barplot\n",
    "sns.barplot(x = armed.index, y = armed.values, ax = axis[1,0], edgecolor = 'black', order = armed.index.to_list())\n",
    "# imposto titolo\n",
    "axis[1,0].set_title('Top 10 weapons used')\n",
    "# imposto xticks\n",
    "axis[1,0].tick_params(axis = 'x', labelrotation = 27, labelsize = 12)\n",
    "\n",
    "# se la vittima stava scappando e come\n",
    "sns.countplot(data = kills, x = 'flee', ax = axis[1,1], edgecolor = 'black')\n",
    "# imposto titolo\n",
    "axis[1,1].set_title('Victim fleeing')\n",
    "\n",
    "# livello di minaccia\n",
    "sns.countplot(kills.threat_level, ax = axis[2,0], edgecolor = 'black')\n",
    "# imposto titolo\n",
    "axis[2,0].set_title('Threat level')\n",
    "\n",
    "# converto in stringhe gli elementi della serie\n",
    "kills['signs_of_mental_illness'] = kills.signs_of_mental_illness.astype(str)\n",
    "# distribuzione età vs malattie mentali\n",
    "sns.violinplot(data = kills, y = 'signs_of_mental_illness', x = 'age', ax = axis[2,1])\n",
    "# imposto titoli\n",
    "axis[2,1].set(title = 'mentally ill victimns by age', xlabel = 'Age', ylabel = 'Mental illnesses', yticklabels = ['True', 'False'])\n",
    "\n",
    "# titolo della figura\n",
    "fig.suptitle('Other Relevant Factors', fontsize = 24, y = 0.91)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Il numero di uomini uccisi è molto superiore rispetto a quello di donne. Tuttavia la distribuzione per età non varia molto: si può osservare come quella delle vittime di genere maschile sia solamente un po' più concentrata tra i 20 e i 40 anni rispetto alle donne.\n",
    "\n",
    "Lo stesso vale per le vittime che presentano segni di malattie mentali, solo leggermente più propense ad essere uccise anche in età più avanzata.\n",
    "\n",
    "Si può inoltre osservare come secondo i rapporti, la maggioranza delle vittime non stesse scappando; questo può essere dovuto al fatto che nella maggioranza dei casi le vittime della polizia stessero aggredendo gli ufficiali, come emerge dall'analisi dei livelli di minaccia."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0    50-60\n",
      "1    40-50\n",
      "2    19-30\n",
      "3    31-40\n",
      "4    31-40\n",
      "Name: Age_Group, dtype: category\n",
      "Categories (6, object): ['0-18' < '19-30' < '31-40' < '40-50' < '50-60' < '60-80']\n"
     ]
    }
   ],
   "source": [
    "# percentuale di NaN in colonna age di kills\n",
    "kills.age.isna().sum()/len(kills.age)\n",
    "\n",
    "# sostituisco i valori mancanti di ages con il precedente\n",
    "ages_filled = kills.age.fillna(method= 'ffill')\n",
    "\n",
    "# divido la serie in categorie\n",
    "cat_ages = pd.cut(ages_filled, bins = [0, 18, 30, 40, 50, 60, 80], labels=['0-18', '19-30', '31-40', '40-50', '50-60', '60-80'])\n",
    "# in bins escluso inizio intervallo e inclusa la fine\n",
    "\n",
    "# inserisco la serie nel dataframe\n",
    "kills.insert(5, 'Age_Group', cat_ages)\n",
    "\n",
    "# nuova colonna\n",
    "print(kills.Age_Group.head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1166.4x648 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# creo FacetGrid\n",
    "g = sns.catplot(kind = 'count', data = kills, col = 'Age_Group', x = 'race', col_wrap= 3, height = 4.5, aspect = 1.2, edgecolor = 'black', order = ['W', 'B', 'A', 'H', 'N', 'O'])\n",
    "\n",
    "# modifico elementi del grafico\n",
    "g.set(xticklabels = ['Whites', 'Blacks', 'Asians', 'Hispanics', 'Natives', 'Others'], xlabel = 'Race', ylabel = 'Count')\n",
    "\n",
    "# mostro il grafico \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Nella quasi totalità delle fasce d'età la razza che conta il più alto numero di vittime sono i bianchi, anche in virtù di una loro maggiore presenza all'interno della popolazione. Spicca però un fatto interessate: tra i 19 e i 30 anni il numero di vittime nere quasi pareggia quello di bianchi uccisi. Ciò potrebbe essere dovuto a due diversi scenari:\n",
    "\n",
    "1. La quota di afroamericani nella popolazione totale è sensibilmente più alta per quella specifica fascia di età, e quindi il maggior numero di vittime è una conseguenza \"statistica\" di questo fatto.\n",
    "2. Una propensione delle persone di colore a commettere più crimini tra i 19 e i 30 anni, magari spinte da altri fattori rilevanti come una condizione di povertà più diffusa o un più basso livello di istruzione.\n",
    "\n",
    "Sebbene i dati a disposizione siano nettamente inferiori, questa \"anomalia\" sembra valere anche per la fascia 0-18 anni, dove il numero di neri uccisi addirittura supera quello dei bianchi.\n",
    "\n",
    "Dal momento che questo fenomeno merita di essere ulteriormente approfondito, di seguito verrà studiata la composizione della popolazione americana lungo le varie fasce d'età."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_cell_guid": "2b9d4ff0-4374-4c35-9f10-a29f0ae18a35",
    "_uuid": "08c03282-f32b-48cf-a456-420066acd8b8"
   },
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_cell_guid": "493eca0d-eb43-46fd-9b17-1e6fa36efdc4",
    "_uuid": "300503ea-7270-4118-a0c1-9fa844dc8279"
   },
   "source": [
    "# Correlazione con reddito, livello di povertà e educazione"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "_cell_guid": "c44c901e-2592-43a4-9186-8e7d28ed1740",
    "_uuid": "d58fce56-ff4e-45a3-b2ae-aed6a3c0a519",
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [],
   "source": [
    "# creo un data frame con i vari fattori\n",
    "factors = incomes.merge(poverty_level, on = ['Geographic Area','City']).merge(education, on = ['Geographic Area','City'])\n",
    "\n",
    "# converto in float colonne con tasso di povertà, reddito mediano e percentuale di completamento high school\n",
    "factors.loc[:,'Median Income':'percent_completed_hs'] = factors.loc[:,'Median Income':'percent_completed_hs'].replace({'(X)':np.nan, '-':np.nan, '2,500-':'2500', '250,000+':'250000'}).astype(float)\n",
    "\n",
    "# rinomino colonne\n",
    "factors = factors.rename(columns = {'Geographic Area':'state','City':'city'})\n",
    "\n",
    "# modifico i nomi delle città\n",
    "factors.city = factors.city.apply(lambda city: name_cleaner(city))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "_cell_guid": "c44c901e-2592-43a4-9186-8e7d28ed1740",
    "_uuid": "d58fce56-ff4e-45a3-b2ae-aed6a3c0a519",
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>state</th>\n",
       "      <th>city</th>\n",
       "      <th>kills</th>\n",
       "      <th>Median Income</th>\n",
       "      <th>poverty_rate</th>\n",
       "      <th>percent_completed_hs</th>\n",
       "      <th>population</th>\n",
       "      <th>lat</th>\n",
       "      <th>lng</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AK</td>\n",
       "      <td>Anchor Point</td>\n",
       "      <td>1</td>\n",
       "      <td>51591.0</td>\n",
       "      <td>10.1</td>\n",
       "      <td>93.8</td>\n",
       "      <td>2057</td>\n",
       "      <td>59.7703</td>\n",
       "      <td>-151.7052</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AK</td>\n",
       "      <td>Barrow</td>\n",
       "      <td>1</td>\n",
       "      <td>76902.0</td>\n",
       "      <td>11.7</td>\n",
       "      <td>84.6</td>\n",
       "      <td>4178</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>AK</td>\n",
       "      <td>Copper Center</td>\n",
       "      <td>1</td>\n",
       "      <td>39063.0</td>\n",
       "      <td>18.8</td>\n",
       "      <td>84.8</td>\n",
       "      <td>397</td>\n",
       "      <td>61.9845</td>\n",
       "      <td>-145.3544</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>AK</td>\n",
       "      <td>Fairbanks</td>\n",
       "      <td>10</td>\n",
       "      <td>55229.0</td>\n",
       "      <td>13.1</td>\n",
       "      <td>91.2</td>\n",
       "      <td>64732</td>\n",
       "      <td>64.8353</td>\n",
       "      <td>-147.6534</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>AK</td>\n",
       "      <td>Houston</td>\n",
       "      <td>1</td>\n",
       "      <td>50438.0</td>\n",
       "      <td>14.8</td>\n",
       "      <td>90.2</td>\n",
       "      <td>2347</td>\n",
       "      <td>61.6159</td>\n",
       "      <td>-149.8003</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  state           city  kills  Median Income  poverty_rate  \\\n",
       "0    AK   Anchor Point      1        51591.0          10.1   \n",
       "1    AK         Barrow      1        76902.0          11.7   \n",
       "2    AK  Copper Center      1        39063.0          18.8   \n",
       "3    AK      Fairbanks     10        55229.0          13.1   \n",
       "4    AK        Houston      1        50438.0          14.8   \n",
       "\n",
       "   percent_completed_hs  population      lat       lng  \n",
       "0                  93.8        2057  59.7703 -151.7052  \n",
       "1                  84.6        4178      NaN       NaN  \n",
       "2                  84.8         397  61.9845 -145.3544  \n",
       "3                  91.2       64732  64.8353 -147.6534  \n",
       "4                  90.2        2347  61.6159 -149.8003  "
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# creo un dataframe con le morti per ogni ciità\n",
    "kills_by_city = kills.groupby(['state','city']).size().to_frame().rename(columns = {0:'kills'})\n",
    "\n",
    "# lo unisco a factors\n",
    "kills_by_city_factors = kills_by_city.merge(factors, on =['state','city']).merge(pop, on =['state','city'])\n",
    "\n",
    "# stampo il nuovo dataframe\n",
    "kills_by_city_factors.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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YPHgw9u7di6eeegqTJk1CQkJCi7XIDho0CGvWrMGzzz6LUaNG4eDBg3juuecgk8lgt9sBAJdccgl+85vf4I477sAdd9yB5ORkvPTSS+jQoYPU0mw0GrF161aMGDECQ4YMwa233oqHHnoIiYmJmDRpEvbt24dnnnkGl112mXQeQxk+fDheeOEFpKenY9CgQTh48CA+++wz3HjjjS1yvERE1LJYkSUioojcf//9SE5OxltvvYXTp0+jb9++eOmllzBo0CAAwJNPPomVK1fi9ddfR3V1NXr37o0nnngiZMWzKQkJCXjrrbfw+OOP48EHH4TT6UTfvn3x/PPPSy2M9RkMBjzzzDN4/PHHsWTJEiQnJ2PEiBFYuXIlli1bhh07diAnJwezZ8/Gl19+iUWLFuHxxx8P2s4f/vAHJCcnY+3atXj55ZfRtWtX3Hvvvbjhhhuaf8IaGDlyJIYOHYp77rkHHo8HU6dODZgSZtKkSXj++efx3HPP4f3330dCQgLGjh2Lu+++WxqT2zD9U6dOxaBBg5CSkoJOnTohISFB2hfgCyhV39y5c6HRaPD666/j1VdfRVJSEi677DLccccdkMlk0jlISUlBQUEBVq1ahQ4dOuDGG2/Erbfees7noL6ZM2fi8OHDWLNmjXSuFyxYgIMHD0rTBwmCgFdeeQWPP/44HnnkEXi9XowYMQKvv/661Ip766234umnn8ZPP/2EzZs3S8f46quv4t1330WHDh3w29/+FkuXLm00PYsXL4bX68U777yDp59+Gunp6a1y3ERE1DJkYnMjMxARERERERFFEcfIEhERERERUUxhRZaIiIiIiIhiCiuyREREREREFFNYkSUiIiIiIqKYwoosERERERERxRRWZImIiIiIiCimsCJLREREREREMYUVWSIiIiIiIooprMgSERERERFRTGFFloiIiIiIiGIKK7JEREREREQUU1iRJSIiIiIiopjCiiwRERERERHFFFZkiYiIiIiIKKawIktEREREREQxhRVZIiIiIiIiiimsyBIREREREVFMYUWWiIiIiIiIYgorskRERERERBRTWJElIiIiIiKimMKKLBEREREREcUUVmSJiIiIiIgoprAiS0RERERERDGFFVkiIiIiIiKKKazIEhERERERUUxhRZaIiIiIiIhiCiuyREREREREFFOU0U5ArKusNMPrFcMuT07W4fRp63lMUfvA89o6Ijmv6emG85SaxjWV99qyeLp+4+lYgLZ7PLGS79rq+Wsp8X58QPwfY3OPL1byHp29eL/m26KWet5ki2wrUyoV0U5CXOJ5bR08r+dHPJ3neDoWIP6O53yL9/MX78cHxP8xxvvxUfPxmjj/WuqcsyJLREREREREMYUVWSIiIiIiIooprMgSERERERFRTImriuzOnTsxatQo6W+n04kHHngAo0ePxujRo/Hoo4/C4/FIyz/77DNceumlyMnJwdy5c3H48OEopJqIiIiIiIiaI24qsp988gnmz58Pl8slffbMM8/gwIED+Pzzz7FhwwZs2bIFr7zyCgBg//79uO+++/DII4/gf//7H4YPH47f/e538Hq90ToEIiIiIiIiikBcVGSfeuopvPzyy1i6dGnA5+vXr8fChQuRlJSETp06YfHixVi3bh0A4N///jcuvvhijBgxAiqVCsuWLUNZWRm2b98ehSMgonZBBphsLuw6UA6T3Q3Iop0gIgpQl0dLyy3Mo0TUdrGsAhAn88jOmTMHd9xxB7Zs2SJ9ZjKZUF5ejszMTOmz3r17o6SkBE6nEwcPHkR2dra0TKFQICMjAwcOHMCwYcPOa/qJqB2QAXtKa7CqYDscLg/UggLLZuUgOyMR4NSARNHHPEpEsYBllSQuWmQ7duwY9JnV6ptkV6vVSp9ptVqIogi73Q6r1QqNRhPwHa1WK32PiKglmawu6aYDAA6XB6sKtsNkdTXxTSI6H5hHiSgWsKw6Iy5aZEPxV2Dtdrv0mc1mAwDodDpotVo4HI6A79hsNuj1+mbtJzU1odHldocbeoMm7HK5TAaNOm5/hlaVnm6IdhLiUqyc16byXltz8kC5dNPxc7g8sLo8yMxIiVKqWkasXDORirfjaUmR5LtYPX+R5tFYPb7miPdjjMXji7V7XqyJpWsiXp4nWuKcx20NKjExEenp6SguLkbXrl0BAMXFxejZsyeUSiX69OmD4uJiaX2Px4PS0tKArsiRqKw0w+sN346vN2jwwIubwy5/4JYxKC+vbdY+yXfx87y1vEjOa1sp7JvKe22NTq2EWlAE3HzUggI6QRHT13K85cW2ejyxku/a6vmLRCR5NJaPL1LxfozNPb5YyXt09mLtmo+H54mWet6Mi67F4UyfPh3PPfccKisrUVZWhtWrV2PGjBkAgCuuuAJffvklvv/+ezidTqxatQppaWkYMmRIdBNNRHHJqFVi2awcqAUFAEhjWow6IcopIyKAeZSIYgPLqjPitkUWAG6//XasWLEC06dPh9vtRl5eHhYuXAgA6NevH1asWIGHH34YJ0+exIABA/DCCy9AoVBEOdVEFJdEIDsjESuWjoXV5YFOUPhuOnzBTtQ21Muj1RYnkvQq5lEiantYVkniqiI7evRobNu2TfpbrVZj+fLlWL58ecj1L730Ulx66aXnK3lE1N6JgFErIDMjxdelph3edIjatLo8atQK0t9ERG0OyyoAcd61mIiIiIiIiOIPK7JEREREREQUU1iRJSIiIiIiopjCiiwRERERERHFFFZkiYiIiIiIKKawIktEREREREQxhRVZIiIiIiIiiimsyBIREREREVFMYUWWiIiIiIiIYgorskRERERERBRTWJElIiIiIiKimMKKLBEREREREcUUVmSJiIiIiIgoprAiS0RERERERDGFFVkiIiIiIiKKKazIEhERERERUUxhRZaIiIiIiIhiCiuyREREREREFFNYkSUiIiIiIqKYwoosEVFrkgEmmwul5RaY7G5AFu0EEVGTmG+JKB7EeVmmjHYCiIjilgzYU1qDVQXb4XB5oBYUWDYrB6kpCdFOGRGFEybfZmckRjtlRESRa6wsE6OduJbBFlkiolZisrqkGwgAOFwerCrYjhMVliinjIjCCZdvTVZXlFNGRBS59lCWsSJLRNRKqs1O6Qbi53B5UFVri1KKiKgp4fJttcUZpRQRETVfeyjLWJElImolSQY11IIi4DO1oECKQRulFBFRU8Ll2yS9KkopIiJqvvZQlrEiS0TUSoxaJZbNypFuJP7xKZ3T9FFOGRGFEy7fGnVClFNGRBS59lCWMdgTEVFrEYHsjESsWDoW1RYnkvQqGHUC5PI4CxtIFE/C5Nt4CY5CRO1EOyjLWJElImpNImDUCjBqBelvImrjmG+JKB7EeVkW912Ld+7ciVmzZmH48OGYOHEi3njjDQCA0+nEAw88gNGjR2P06NF49NFH4fF4mtgaERERERERRVtct8h6vV4sWbIEf/jDHzBjxgzs2bMHc+bMQXZ2Nr7++mscOHAAn3/+Oex2OxYvXoxXXnkFCxcujHayiYiIiIiIqBFx3SJbU1ODiooKeL1eeL1eyGQyyOVyCIKA9evXY+HChUhKSkKnTp2wePFirFu3LtpJJiIiIiIioibEdUU2OTkZ119/Pe6//34MHDgQeXl5mD9/Pnr16oXy8nJkZmZK6/bu3RslJSVwOuNnbiUiIiIiIqJ4FPddi7VaLZ544glMmTIF27Ztw6233oquXbsCALTaM3M5arVaiKIIu90OlSp+5lciIiIiIiKKN3FdkS0sLMSWLVvwhz/8AQAwevRozJw5E+vXrwcA2O12aV2bzQYA0Ol0zdpHampCo8utdhcEIfxplstlSE83NGuf5MPz1jpi5bw2lffaulg5z5GIp2MB4u94WlIk+S7ez1+8Hx8Q/8cYi8cX6/e8ti4Wr4lY1xLnPK4rssePHw/qKqxUKpGSkoL09HQUFxdLrbPFxcXo2bMnlMrmnZLKSjO83vCxrPUGDVwud9jlXq+I8vLaZu2TfBc/z1vLi+S8tpXCvqm815bF0/UbT8cCtN3jiZV811bPX0uJ9+MD4v8Ym3t8sZL36OzF+zXfFrXU82Zcj5G98MILUVxcjHfeeQeiKGLXrl147733MG3aNEyfPh3PPfccKisrUVZWhtWrV2PGjBnRTjIRERERERE1Ia5bZLOysvDcc89h5cqVePLJJ5GWloa7774bkydPxrhx47BixQpMnz4dbrcbeXl5nHqHiIiIiIgoBsR1RRYAxo8fj/Hjxwd9rlarsXz5cixfvjwKqSIiIiIiIqKzFdddi4mIiIiIiCj+sCJLREREREREMYUVWSIiIiIiIooprMgSERERERFRTGFFloiIiIiIiGIKK7JEREREREQUU1iRJSIiIiIiopjCiiwRERERERHFFFZkiYiIiIiIKKawIktEREREREQxhRVZIiIiIiIiiimsyBIREREREVFMYUWWiKi1yACTzYXScgtMdjcgi3aCiKhJzLdEFEvacZmljHYCiIjikgzYU1qDVQXb4XB5oBYUWDYrB9kZidFOGRGF01i+FaOdOCKiBtp5mcUWWSKiVmCyuqQbCwA4XB6sKtgOk9UV5ZQRUTjMt0QUS9p7mcWKLBFRK6g2O6Ubi5/D5UG1xRmlFBFRU5hviSiWtPcyixVZIqJWkGRQQy0oAj5TCwok6VVRShERNYX5lohiSXsvs1iRJSJqBUatEstm5Ug3GP+4FaNOiHLKiCgc5lsiiiXtvcxisCciotYgAtkZiVixdCyqLU4k6VW+G0s7CL5AFLOYb4kolrTzMosVWSKi1iICRq0Ao1aQ/iaiNo75lohiSTsus9i1mIiIiIiIiGIKK7JEREREREQUU1iRJSIiIiIiopjCiiwRERERERHFFFZkiYiIiIiIKKawIktEREREREQxhRVZIiIiIiIiiilxX5E9deoUli5diuHDh+PCCy/EypUrAQBOpxMPPPAARo8ejdGjR+PRRx+Fx+OJcmqJiIiIiIioKcpoJ6C1LV26FAMHDsQPP/yAsrIyzJs3D5mZmdi3bx8OHDiAzz//HHa7HYsXL8Yrr7yChQsXRjvJRERERERE1Ii4bpHdsWMHSkpKcP/990OlUqF79+544403MGrUKKxfvx4LFy5EUlISOnXqhMWLF2PdunXRTjIRERERERE1Ia4rsr/88guysrKwatUqXHTRRZg0aRIKCwuh0WhQXl6OzMxMad3evXujpKQETqcziikmIiIiIiKipsR11+Kamhps27YNo0ePxqZNm1BcXIwFCxYgJSUFAKDVaqV1tVotRFGE3W6HSqWKVpKJiIiIiIioCXFdkVWpVNBqtbjtttsgk8nQv39/zJw5E+vXrwcA2O12aV2bzQYA0Ol0zdpHampCo8utdhcEIfxplstlSE83NGuf5MPz1jpi5bw2lffaulg5z5GIp2MB4u94WlIk+S7ez1+8Hx8Q/8cYi8cX6/e8ti4Wr4lY1xLnPK4rsr1794bX64Xb7YYgCAAAt9uNxMREpKeno7i4GF27dgUAFBcXo2fPnlAqm3dKKivN8HrFsMv1Bg1cLnfY5V6viPLy2mbtk3wXP89by4vkvLaVwr6pvNeWxdP1G0/HArTd44mVfNdWz19LiffjA+L/GJt7fLGS9+jsxfs13xa11PNmXI+RvfDCC2E0GvHUU0/B6XRi7969eP/99zFt2jRMnz4dzz33HCorK1FWVobVq1djxowZ0U4yERERERERNSGuW2TVajXefPNNPPTQQxg3bhxUKhUWLlyIKVOmYMKECVixYgWmT58Ot9uNvLw8Tr1DREREREQUA+K6IgsA3bt3xz/+8Y+gz9VqNZYvX47ly5dHIVVERERERER0tuK6azERERERERHFH1ZkiYhaiwww2VwoLbfAZHcDsmgniIgkzJ9E1B7EcVkX912LiYiiQgbsKa3BqoLtcLg8UAsKLJuVg+yMxGinjIgay58MDEtE8SLOy7o20yIrir6zWV5ejk8//RQlJSVRThER0dkzWV3SjQMAHC4PVhVsR2WtE7sOlMfdW1GiNq1Bi0S4/GmyuqKcUCKiltPYs0g8tNBGvUV2586d+P3vf4/HHnsMffr0wTXXXIOqqiqIoohVq1Zh4sSJ0U4iEVGzVZud0o3Dz+HyYOu+U1hTWBR3b0WJ2qxQLRKzc0Lmz2qLE0atEKWEEhG1rHh/Fol6i+xjjz2GCy64ANnZ2Vi3bh1EUcSWLVtw33334emnn4528oiIzkqSQQ21oAj4TC0o4PX6/s0WIKLzI1SLxJEyc8j8maRXRSOJREStIt6fRaJekd29ezeWLl0Kg8GAL7/8EpMmTYJOp8OECRNw+PDhaCePiOisGLVKLJuVI91A1IICs3OzsGlrqbSOvwWIiFpPqBaJjT+WYMnVgwPy57JZOTDq2BpLRPEj3p9Fot612GAwoKqqCmq1Gjt27MAtt9wCADhw4ADS0tKinDoiorMkAtkZiVixdCyqLU7oNQL+/s7PqKi2S6uwBYio9flbJOpXZmstLvTubJDyZ5Je5avExmDXOiKisOL8WSTqLbJTpkzB73//e8ybNw+pqam46KKLsGHDBtxzzz246qqrop08IqKzJwJGrYCMND1SDSrMvSybLUBE51moFolls3KQoFFK+dOoZSWWiOJUHD+LRL1F9v7770f37t1x7NgxXHfddRAE34lctmwZrr/++iinjoiohdR7K2p1eaATFGwBIjofGrRIsPWViNqtOCsPo16RVSgUuOmmmwI+y8vLi05iiIhaU91b0cyMFJSX18bsjYMo5tTlPSkiMfMeEbVXcVQeRqUie/XVV0Mmi2zSovfee6+VU0NERERERESxJCoV2QkTJkRckSUiIiIiIiKqLyoV2dtuuy0auyUiIiIiIqI4EJWK7O233x7xuitXrmzFlBAREREREVGsiUpFVqfTRWO3REREREREFAeiUpF99NFHo7FbIiIiIiIiigNRqcg+/vjjuPXWW6HT6fD444+HXU8mk+EPf/jDeUwZERERERERtXVRqcju2rULbrdb+jcRERERERFRpKJSkX3jjTdC/rshp9N5PpJDREREREREMUQe7QT885//DPn5d999h2nTpp3n1BAREREREVFbF/WK7MqVK/GPf/xD+ruyshJ33XUXbr75ZgwZMiSKKSMiIiIiIqK2KCpdi+t7/fXXsXDhQlgsFnTp0gV/+9vf0KFDB/zrX//CqFGjop08IiIiIiIiamOiXpEdPHgw3nrrLSxYsACnTp3CXXfdhRtvvBFKZdSTRkTUMmSAyepCtdmJJIMaqV4x2ikiolAa5FWjVgkwuxJRPIjD8i0qtcWvv/466LOFCxfiscceQ3FxMb7//nvp8/Hjx5/PpBERtSwZsKe0BqsKtsPh8kAtKHDHdcOQ1dUQ8zcQorgSIq8um5WD7IxE5lUiim1xWr5FpSK7aNGisMvWrVuHdevWAfDNI7tnz57zlSwiohZnsrqkGwcAOFwePPXOz1ixdCwAxNWbUaI2KcJWiFB5dVXBdqxYOhZGrXCeE01E1HKaLN9itLU2KhXZvXv3RmO3RETnXbXZKd04/BwuD45VWrFqbXy9GSVqc5rRChEur1ZbnKzIElFMa7R80wkx21ob9ajF54vVasVll12GV155BQBQW1uL22+/HSNGjMCFF14YEDmZiKhFyAC9VkB+bhZmTc5CWpIGAKAWFDhSZg56M2qyuqKZWqK4E6oV4s3P9qCy1onScgtMdjcg862bZFBDLSgCvq8WFEjSq853somIWlRj5Vu41lqT1eVrqbW5gsrLtqLdRFR6+OGHUVJSIv39wAMPAAC+/fZbHD9+HDfffDO6deuGqVOnRiuJRBRPQrQEzc7NQuGWEuRf2g9vfBo4bIItP0Qtr2ErRFqSBrmje+BPL/4Q1PJg1CqxbFZOUKuEUSe0+VYJIqLGNFa+lZ6yhGytNdtdOFZhbdMtte2iIvvpp5/i8OHDGDZsGABf6+znn3+ODRs2QKvVIjMzE3PnzsV7773HiiwRtYhQbzjXFhbh4UVjYExQo9YS2PrKlh+iludvhfDnw4nDM7C2sCjsOLHsjESsWDoW1RYnkvQqVmKJKD6ICFu+NSwnAd8ziVpQYlXBj206bkDcdy0+fvw4nnjiCTz++OOQy32HW1JSAq/Xi169eknr9e7dG/v3749WMokozoQbj2Kxu9ApVY9ls3Kkbj4BLT9E1GL8rRD+vCaXI+w4MQCACBi1AjLS9L4HNVZiiShehCnfGpaT/mcSi93VeHnZBsR1i6zH48Ef/vAH3H777ejWrZv0ucVigUqlgkJxpq+4RqOBzWaLRjKJKA6Fe8OZpFdBLpex5YfofGjQCqHXCFj/1cGQ+ZKIqF0K01prsrnDPse0FXFdkX3hhRfQsWNH5OXlBXyu0+ngcrng9XqlVlq73Q6dTtfsfaSmJjS63Gp3QRDCn2a5XIb0dEOz90vgeWslsXJem8p70ZbqFXHHdcPw1Ds/B8wf26tbMgAgPc2A9CinsaXEyjUTqXg7npYUSb5ri+fPn9e8jeRLuTyyKCZt8fhaWrwfYyweX1u/58W6WLwmWlrDZ5LGnmMiLS8b3V8LnPO4rsh+9NFHOHXqFEaMGAHANzZ2x44dOHDgAGQyGQ4fPozevXsDAIqLi9GnT59m76Oy0gyvN3wzit6ggcvlDrvc6xVRXl7b7P22d+npBp63VhDJeW0rhX1Tea8tyOpqCHrDWVlpjqvrN56OBWi7xxMr+a6tnr/6wuXLSMTC8Z2reD/G5h5frOQ9Onvxfs2fi3MpLxvTUs+bcV2R/eyzzwL+njdvHiZMmIAFCxbAarXib3/7G1asWIGysjK8+eabuOOOO6KUUiKKS3XjUaSgCHwGIYo+5ksiosi08fIy7oM9hfOXv/wFGo0GkyZNwo033oj8/HxMnz492skiIiIiIiKiJsR1i2xDb7zxhvTvxMRE/O1vf4tiaoiIiIiIiOhstNsWWSIiIiIiIopNrMgSERERERFRTGFFloiIiIiIiGIKK7JEROHIAJPNhdJyC0x2NyBr4vNIv09E51dL5EUZcOyUOfQ2mNeJqDW1RhnT2DZjpExrV8GeiIgiJgP2lNZgVcF2aSLwZbNykN0jEXtKQnyekRgYlj7c9zMSo3ZIRO1SY3kx0qkkmsjP57x9IqJwWqIMa842ETtlGltkiYhCMFldUiEOAA6XB6sKtqPS5Az5ucnqCvi+2e7GkVNm5F+ahT/MHY5rJ/XFkVNmmO3u834sRO2ZPy8b9AJmTcpC3vjM0HmxkRaIcOWByepqdBkR0blqjTKmsXIx4jKzDWCLLBFRCNVmp3TT8HO4PKg02UN+Xm1xnpkwXAYUn6jF1z8fQe7oHli19sxbzU6pOvToknSejoKIqs1OGPQCpo7thbWFRQF5cXCvZF8LQxMtHuHKg2qLExDRdJlARHSWGit/zraMaaxcTDOqmy4z2wi2yBIRhZBkUEMtKAI+UwsKpCdpkZ/bD7MmZ2HW5CykJWmgFhRI0quk9UxWF15YtxPjcrpJNwHAd+N5Yd1OnKiwnNdjIWrPkgxqTB7ZI2Re9LdoNNXiEao86Jyqg14jwO0VkZ/bD2lJGmlZwzKBiOhshXseOZcyJiVRg/lXDAxZLqpVyibLzLaCFVkiohCMWiWWzcqRbh5qQYG75wzDyUor1n91AAUbi7Dh64OYNrYX7p4zDEbdmbei0ttTWeiWmqpaW/AOYySwAlGsMWqV6N4xIWRerDA5UFpuQYXJEb7FFcHlQedUHWZNzsKfXvwBD7/2P6z/6gCmje0lvdhaNisnoEwgIjpboZ5HmixjmgjkdKTMjNIyU8hyz2J3hS0z/WViW8GuxUREoYhAdkYiViwdi2qLU3rzee/zmwPeUK4pLMKKpWMDutrUf3uqFhQBNwO1oECKQYuAL7RGIAci8hGBrmn6kHnxwNEarCnch/zcfiGXSy0edeXByjsn4GSlGXqNgD+9+ENQWfDnBaORoFb4HjCZd4moJYR4Hmm0jGnimcLfAyVvfGbYci8pQd14mdhGsEWWiCgcETBqBWSk6WHUCo2Pk6vH//b0221HMTs3K+gtauc0fcD6DBZD1LpCtWjk52Zh448lAICNP5YgP0ReDWjxEIGuHRKQkaaHxeYKWRa43R7fmDVWYomoJTV4HmmsjGnqmcL/LLPpp9KQzyhGnXB2rcBRwBZZIqII+Vtam3xDWff29N65w2G2u/DwojGw2F3SW1S5PLDfcGsEciCiehq0aCiVCjy95mdUVNsBABXVdny8+RD+vGA03G5Pky0eEZcFRETnWVPPFP7yq6Lajk82H0LexZmQy4Hh/Tog1aCSyr1mtQJHCVtkiYgi1Kw3lHVvT7sk65CaoGr0LWqSQe0bczcpSwoi1TlVx4diotYgAmpBDkER+AhUa3EhQa2IqMUjVloriKj9aSo4VP3yq6Lajg3fHET3DoYzlVj/+NpTFkAmQ0Z602VitLBFlogoUs0dpxIho06JWZOzsPr9XdJ4lsUzB8GoFwBvyySdqF0LMWZs8cxBKNhYhBOV1sCKaCT5uZXKAiKic+WvqDYcIyuVUY2VXzEWs4MVWSKi5qhraZW6/NYv2GW+sSnVZieSDGrIZUCVyYEkgxpGrTLsTcBkcUmVWMDXBWj1+7uwYulYdi0magGhxoytfn8XHlo0Bm6PF1a7G2mJmia20kBjZQERUbRE8qItTPkVbnztw4vGBHQ7bitYkSUiagkh3mLm52bh482HUGtxNfpGk2NkiVpXuDx2vNyCF97fGRMtD0REETubF20y4FilNWRZuXXfKXTvYGhz5SPHyBIRtYBQbzHXFBZh4vAM6Y1mZa0z5PywrTHZORGdES6Pnayyho3sGaBuzNiuA+Wc55mI4pLJ6sKRMnPIstLrRZucTYEVWSKiFhCuxcf/wOt/o7mntAZeb+DrTAaOIWpdofLYgukDpOl3/EJNp+XvbXHv85tx/wubce9z32NPaQ0rs0QUV6rNTmz8sSRoSp4F0wdg09ZSOFweHKu0tqmyj12LiYhaQLjpOPxdcOq/0czslgRV/RsBA8cQta66PPbwojHYuu8UvF7AYneh1hLYuhDUE0IGVNY6ceRULfLGZ2LTT6WoqLZjVcF2jmEnotjSII5Hw9gdSQY1ai0uaUoeyAC5TAaLzYWKajvUggJHyszomqprM2UfW2SJiFqAUafE4pmDAt5i5udmYdPWUqgFBWbX/dvh8qCq1ha8gWZMdk5EZ0EEUg0qdO9gwIZvDuLj7w8hv0HLQ0BPiLqW2D+9+APWFBZhw9cHMXVsL6QlaUK33BIRtVX1epY8+MqWkD1L/D1Xai0uFHzhK/PUghwfbz4kPcds/LGkTZV9bJElImoBJosLBRuLpLeYakEOuVyGOZf2x8lKKz7ZfEh6o5li0II1VaIoaND7IcWgxtC+aSF7QoQa97620JfHN3xzkGPYiShmhItGHNCzpEH5qNcK+PVQFSaOyABE4JO64JVtqexjRZaIqAVUm504UWlFwRdFAZ//Ye5wbPjmYEBU1M5pelRWmqOUUqJ2rmE0TyBkZM9w497lcjRvzlkioiiLeHaE+uWjDEhL1OLtz8PMR9sGsCJLRNQCwo2R7ZqqCxr7Kpe3oUgJRBRSuDw9vF+HNjmfIhFROOHKs0ZbV2MgfgcrskREZ6Nh0ASdb2xJ/XlkG0YerjY7AZkMqd42dBcgildNBDZpah3/eLH6efqO64b5KrHwTcfT6LaJiNoIo1aJu+cMw8HjJnhFEXKZDJldjKErpg3LRb3vOcb/DNOWyjtWZImImqsuaELDSqteo8RVE/pINwmVUu5bt6Qm6GE4q6uhzdwIiOJOmDyanZF4Jt81tU6I1ohe3ZJRWWVuettERG2M0+3F+q8OBJRbQRqUi51TdZg1OQur39/VJss7Ri0mImqmcEET9pZWY03hPhRsLMKawn148u2fUWlyBq371Ds/R39ScZmvRam03AKT3d2m5oUjCivC6zZcHq2f7yJZp2E0cblc1vT3mLeIqLU1s5yJqLwLsd64nG5SJbax70ULW2SJiJopXNAErygGfVZpskcWYOF8iqS1iqitacZ1G0lgk4iDnzTQ6Pd0AvMWEbWus7iHhyu3jlVaYex+5ntB68nQ9p5h6on7FtmdO3dizpw5GDFiBCZMmIBnnnkGoijC6XTigQcewOjRozF69Gg8+uij8Hg8TW+QiNo9f9CE+tSCAnKZLOizVKMm5LpnFb6+hVp6In0zS9SWRHzdygC9VkB+bhZmTc5CWpIGQHC+C5ePm8qbjX2PeYuIWtvZlDPhyq0jZeaA76UkapCf2w+zJvvKT41K3nLPMK0griuyFosFixYtwtSpU7Flyxa8/vrr+OCDD/D222/jmWeewYEDB/D5559jw4YN2LJlC1555ZVoJ5mIYoA/CIy/cFcLCsyZ0g9GvRDw2ZKrByPVqApa947rhgUEgYpIBJOZR6qxFiWitiqi67Yun/zpxR+wprAIG74+iKlje6Fzqi4o+FqofNxwnVAa+x7zFhG1trMpZ4xaJZZcPTig3Jqdm4WNP5ac+Z4MOFJmxvqvDqBgo6/81KqCvxdJOXm+xHXX4hMnTmDYsGGYO3cuAKBnz57Izc3Fzz//jC1btuCvf/0rkpKSAACLFy/GU089hYULF0YxxUQUExpOGq4R8Pd3fobL40XexZmADJDLZOjd2QB4gwPG9OiShJLj1ag2O5GSqIHX420y+mlEk5lH6KzC8BNFWSTXbah8srawCA8vGoNUowomS2CkYX/erDA5oFErI3s4a2RKCuYtImptEZUzISKy9+5ilAJSQgQ+2XwItRaX9L1Q5efrH+/BE7deKJV3KQY1vF4RpacsbSJie1xXZPv06YPnnntO+tvpdOKbb77BVVddhY8++giZmZnSst69e6OkpAROpxMqFW84RNSEBpOGz70sG6sKtqPgiyLpjWWCRilFP62/7pbdJ/HUOz/DoBcwbWwvrCksapExf5EKNa1IW5vknKihSK7bcPnE4XJjT4kteExZj0Qcq7A2f0xr/Txd93ekaSQiOhdNljPhxtD2SET3Dglhvxeu/KyqdfgC3rXBGABxXZGtz+l04s4774RKpcLUqVPx5JNPQqvVSsu1Wi1EUYTdbmdFloiaJ9JJw2VAZa0Th0/UIG98JtSCXKrEAo23srZoS08MTHJOFCSC6zZcPlELSqwq+DEorz28aExAC4RBL+DIKTPUKgXSEjXNb21g3iKi1tZEOdNYD67GeqE09ZzRkj3DWkq7qMiWl5fjtttuAwC89tprkMt9Q4Ptdru0js1mAwDodLpmbTs1NaHR5Va7C4IQ/jTL5TKkpxuatU/y4XlrHbFyXpvKe9GQ3sgyr1fED7tO4Kl3fpbeZC6eOTjk20+ry4PMjJSAz1O9Iu64bljA9++4bhh6dUuGXH52UZ8aS2+zthMj10yk4u14WlIk+a61z19j1224fOJ0e0PmtdNmh/R5WpIGU8f2wtp6PSTuuG4YxgzqHJDHIjm+lspb0RLveSAWj68t3vPiSSxeE+HKmZMHysM+W/RKSUbRsRNBZeSYQZ2RCjT6nNHYdhs+s0SU/hY453FfkS0qKsLNN9+MsWPH4i9/+YvU2pqeno7i4mJ07doVAFBcXIyePXtCqWzeKamsNMPrDf+qVW/QwOVyh13u9YooL69t1j7Jd/HzvLW8SM5rWynsm8p7rSLEmJNIW1pMNpd0cwB8LT9qQYH83Cx4RWDTT6WoqLZDLSigExQhf4esroagN7CVleaWPMJmi7e82FaPJ1byXVs4f6HyicnmhlpQwKAXMHF4hjSO3R9V3OHyYOLwDKkSC5yZ87lT8ljfNqwuWJ0e6NTKqI8La01t4TdsTc09vljJe3T24u2a16mVUrmWlqTBxOEZkMsBQS5HyfHqgGcRh8uDf368G6lGNSw2FzqlaPHErReiqtYR9JxRf7t+jT2zNKalnjfjuiJ7+vRpzJ8/H9OnT8c999wTsGz69Ol47rnn8Jvf/AZutxurV6/GjBkzopNQIoquSCqodWNO3vxsDyaPykCyQYPURA0SdAKS9QLgbXw79cee+Ft+Vq7dJr31nJ2bhcItJZh7WXb4rohhxuURtVth8lzDfGLUKnH3nGE4Wm4OGJPevUMC7rthBPaWViM9SYu88ZnSSyXA95BntrvCj6PFmf1HGrjtXF6Itcj3iahtaak8XbedCpMD9980EicrLbA7PXj7831wuDz4+uejWHjVIFw7qS/kckAGGTxeEd06GvD3d37GiUpr8LjXeukINTb31muHwGxzATJZVMqiuK7IfvDBBygvL8fbb7+Nd955R/p83LhxeOKJJ7BixQpMnz4dbrcbeXl5jFhM1B5FOLG4yerCm5/twWVjeko3BX+LaocULbJ7JGHP4fDbqT/2JFTLz9rCIixfMBqdUzS+SjERNS7CvAsAEIH0JA2efDuwJWJVwXbcf9NIrP/qQMBLpU82H5J6SIQbX/vErRfiyCkLVhVsjzxwW3PSfK7HTERtX0vl6RDbueO6YXi1rvU1LUmD3NE98Ng/fwp4fvnsv4dRa3EFlHthx702GJsrk8mw+v2doSvA50lczyP729/+Fvv27cP27duxbds26b9Vq1ZBrVZj+fLl+P7777Flyxbcf//9UCgUTW+UiOJKpBOLV5udGJfTTarE+tddU1iEI2UWnKp2NLqdgLknZQg5zmTXwQqYLOEnND9nMl8X59JyC0x291nNQUvUVkSad/3CReTcc7gq6KXSxOEZ0oOZxe4K+T2TzS3tf+LwjJCB2xqmpblpPtdjJqK2raXydKjtHD5RI/0d6gX6mrqyrn6551928rQt9HNCXY+XJL0Kj7z+I05UWs8p3ecqriuyRERNiXRi8SSDGnJ56AqoVxRRZbI3vp16bzKH9kuXJhf3UwsKeL1odELzc1L3tvbe5zfjwVe24N7nvsee0hpWZilmVVsiy7t+/l4R9fnzXcNt9O5qlCJ8JiWE/p7d4T6z/zAvpxqmJdLyJpxz/T4RtS0tladDbccr4kzZFaaM8j8D1P+3WlCg+Jip0eeEtlIWsSJLRO1auIfbhtPaGLVKZPdMCblu/aAxDZelGNRnWkFtbhh1An7TMxW3zhoira8WFJgzpR++3X60+dPpRNjKypYcijd6jS9gWlqSBrMmZWHW5Czk5/aDQa+S8oTZ6ZH+LZfLzvSKgC/f3XndUGjUCsya7Pt+WpIvH3dK1tYbYyti2ewc5Of2k5Yvm5WDtMTAPB9JORJpeRPOuX6fiNqWs8rTIe77obbz7bajuDlvYECZ13A//m7A/n+rBQWWXj0Ivbsl4rpLsyCTy3CkIvj5wr+/huVvikF99ifjLMT1GFkioqY0ObG4nwh0T9fh1muH4Nl3dwSNkU1PUgdt56Zp2Sg+UYsX1u0M2PYFRh0UchmumtAHXlGEXCaDSinH/CsGNG/OyWaMrWns7Wm05n8jOhcOpxs3TsuGw+kJGJvaMUWLgo1FcHm8QeNW754zTBrflWJQ48gpS8B0O/m5WeiWniDNrdgwfy29ZjB6dTIgQeN7fPLn+U0/lSI/NytojGzD/BxxeRPGuX6fiNqWZufpcPf9HolB27l0dA+kJ2qwYulYmO0udO+QEPT88vHmQ1LQJv9L9WqzE2+v2xUyGKX/+aKxAHrnc5ysTBRFFn3nIJLpdx54cXPY5Q/cMgY2i6M1khbX4i1UelvRbqff8UcMDDGxeMh1bS6U1zigFuTQawQkJ/jWP21x4cc9p+AVRd+bTZUcBRv3B4Wqf2jRGPz5xR+CPn948RikNqNlxWRz4d7nNwdtJ1SQBpPdjXuf+z6idZsj3vJiWz2eWMl35/P8mexu/FxUHjDuC/Bd13kXZwIANnxzMOw1Hy7/PHDzaOjUSkAUG11u1Poqs/6yI8WghtcrNl2ONKe8CeVcv9+EtpoHWgqn36GGon7NNyNPN3rfr5smrMLkgKaujErQ1Isk3GA/crlMmmbHIwLb95ejT7ckPPL6jyHL1A3fHAx4ZmjOM0hDnH6HiKilNGdaGxEwagQYNULAZ3tKa3DkVC3WFBZJH8+anBWyFbSiJvR42soae7Mqss1pZWVLDsUbo1aJjim6psd9NVh2rNIKY/fEsPln+/4KbPj6IJbNzgm5vKzKhoKN+6TWiYCyA2i6HDnXabQ4DRdRfGlGnm4sNoB/GwH3/wY9yxouT9AoA1p483NDP7f4x9jWf75oCz29WJElIjpH/vGn+Zf6xoh46zq6aNWKkJOHpxjV6Jyqk6L9+T9PNWqatd/6U/rU307IsTUNwua3RksO0XklAl3T9CHzAEQAMqBzqg7jcrpJFdtvtx3FkTIzEhPUMCSoAvLrpp9KUWtxAaLvYexImTnktsuqrBiX0y38FBVERK3EHxugYbmk15xdOdQwfoY/QFTD7asFubSf41VWqFVKuL0i8nP7YeOPJdLc2+d7zD6DPRERnaNqsxMGvQC5TIb1Xx1AwcYibPj6IOQyOX53zeCAQAuzc7Owcs02XDspC51TddLni2cOQqqxeYV/wJQ+dduRWllDqXsbm5Gm9z18sxJLMS5UHlg8cxC+3X4U2/aV4ZpJWdjwzUEpT868pC+27j2J/UdO45eDVQH5ddrYXrhxWjY2bS0FAGz8sQSLZwbn340/lgS0ThARnS8Opxuzc7OCyiWHy31W22vYqrrpp9Kg7efnZkGnVmLZ7CF49cNfUHS0Bn968Qc8/Nr/sP6rA5g2tldAILywzyCtgC2yRETnKMmgxuSRPYLmmH3787347ZW/wf03jURljR1qlQIffH0AJyqtePeLIiybPRSnax1INaqRnqyGqdaFarMTSQa1b/xdUxVNtrJSe1Q3zstsc0GtUiIxQcDDi8bAYnf58oBeQK9Ow2F2ePDcu9uRd3EmtBoFOiTrcLLSgqsm9IVcJsNT7/wcNKfirMl9pZaFWosLGR0TpKBsEIFPNh+SWm0ZLZiIzrcEnQqFW0p8cQBkAESgcEsJhvUdHv5L/rGx/ucLnRImi28srTFBhRumZsPu9JWFm34qReGWEtw+eygOnzQBIvBxXbk3OzcLI37TKeR8tH+aPwoGjfK8P4OwIktEFE7Dwr9h5bJueY3ViW4dEkKOFVELSilwgv/NaaJehcmjemLH/nJ4ReCNT45i1uQsFGwswolKq/RWs3sHPapMjsYrthwvR+1JXcTONz/bg9zRPQIiDi+blYOMdD3g9eUJs92F3NE9ULilBLmje+DNT/dgXE43lJ40oV+PZBj0AhzVZ/Ksw+WBy+2bVFYtKHD7dTkQlDJ0StUFRB5fMH0AbA4X7r9pJIx6AfCGSyyaLkOIqG1rY3nYqFVi7mXZAfEullw9GHKFXKrYBpADR8qt2HO4Cl4R2LX/FC69oCdWv78LBr2AaWN7BUdu76BHaZnZ9/168Qa8XhGpidqQzzq7iyvRvYMBxozEVj8H9bEiS0QUSlNT2zRYfuO07LDj6eq/uSzcUoJZk7Ok1iB/5bZgYxHG5XRDwRdF0hyvV03ogzWF+xqdVoeoPfGP58q7ODOoVSBgzKoMkMnkWFtYhLyLM6XKbMMHto83HwoY2zWgdxryc33/Lq+yY+U722HQC7hqQh9075gAg06FF9btCHjhFDZfNmN6LCJqg9piHq7XE+tYpRVHysx487M9qLW4gtMmA3Yfrg6YcueO64ZJzx95wzOlqXMAXzn6ny0lyL+0nzTjQv3pd7qkJaC0rDbks47Xi6jEDeAYWSKiEBoGQDDoBRw5ZUbxSTNMdjfMdnfA8o+/P4T8BuNKbs4b6BtPV6dv90QsnjkYZVVW5I3PRFqSBg6XB2sLiwIC0gB1bz9FEWlJGuRdnIkjp2pRWesMWIco7tVNd1VabvHlO5srIIJmfQa9ALPDg9JyCyprnTh8okZad/KojJDd4SaP7AEAUkvr8+9tx5rCItgcvqEBDpcHFdV2rCnch1Vrt+PQ8RqMy+mGWZOzkDc+E29+tgcmqytk0huWIf7Kdrj1iahtabN5uK6iumrtdqwp3IeKanvItJmsLjz77g4Y9AJmTfKVWV7RC4O+rqIZohwdl9MNz7+3M+gF/K3X5kAmA1SCTHpxD5wpO7UaBQx64bzHDWCLLBFRCPUDIKQlaTC1QfebJVcPDuiaWFFtx8ebD2HZ7BzI5TIY9Sp4PF7feDr4KrGXju4Z1M34k7oWIbkc8NbroqgWFNCqFAH7Xf/Vwei/DSY6X0K0htx67ZCAIGn18+i0sb3w0CtbAroAd07VQatWIClBE7I7XOc0HWZNzgJEwGJ3nYkkHqairFUrpbHw/jxstrtCtkC0hakpiOjsteU8HEna/IEoGz6/+HujAMERiuXywLIvLUmD3NE98Jd6ZeucKf1wzw0jUGt24mSVFQVfFKHW4kJ+bhZSDOrzcPRnsEWWiAgIavlJSdRIbxwnDg9uzXlh3U5MHtkDaUkazJqUhVmTszB5ZA9UVNvQOVkLvVqBF9btlKL/zRjfBy9v+CVgG2sLizBxeAbUggJZGcn4dvtRpCVpkJ/bD4tnDkbnND0Kt5QEvQ2urHVK6WQLLcUlGVBZ6wxqDXn23R343bVDoFEpsHjmYOTn9kNakgaTR/YI6iL3yr9348ZpAyCKQFmVVcrPfmpBgaQENTb9VIqCL3ytsJ1Tdbhxajb6ZyRj2awc3DC1P9KSfNNiTR7ZA6/8e3dQHhYhC5kX/dNjBe2zsQBRDcoh5m+i6DmrPHye+NPmfwaZe1l/3DNvBGQySGWHPxBluN4om34qDepJ1rd7UsAxh3r+efvzfRAUcrzw/s6AFuE1hUXwes/vW3a2yBIRhRkHc/ecYXjy7Z9Dts44XB5075iAaWN7SQ/Q/qk/jAYBew7X4ESlFZ9sPoS8izPh9YohtyGXA4tnDsbmHUdxc94gVJnsUoW3Yaut/ztb953CmsKitjFeh6il1eXHI6dqQ7aKVlTbA1oXbs4bCKVCHjJ/HSuvRVKCBu8U7sXs3KyA7y2YPgCHT9Rg2the+HjzIezafwrXX9Yf5adtWPHGTwGtD5/9cBjdO4YO6LbrYCU2fB3cW8I/NVDDciVsVM+2OB6PqB1rdh4+z2m7e84wHC03BzyD+Mezzr0sG9k9EsOWW326JaJPt8HQaZW4+/rhOHisGl4v8N4XRbg5b6D0HNKwhdb//YpqW5torWZFlojavXDjYFYsHYsVS8fC7vZCLpP5puAAsG1fGYb37wStWhnUCrT6/V34v4UX4EiZGWpBgYpqOwq+KMI984aHDJAwpG86TlSYMeI3XSCTIWSrbd7FmSj4oggA0DlVh+4dDb7ukADe/GwP7p07XApwE/Xoim0hDRQ7QlwvZrsbR06ZkZ6kQ35uP2z8sUR6kTN5ZA8pgjDgyyMvb/gFt8/OCZm/BmemweHyoNbikl4qQQbIZTLYHG5YbB58u/0o7rxuGNweL349dBrrvzoQ1Prw8KIxgMyX/+qPZ/9221FAbBBsSidIx9Q1XY8nbr0QVbWOJqfHaqwcinY3RqJ2qS1McRfunioC6UkaPPn2zyGfGVYVbMfDi8ega5o+ZNmYZlTDqBNwqsaBJ9/aGrC82uzE/TeNxO5DVcjoaAj5fbVKAbXgGxc7cXiGVK6mGNTn9TmAFVkiavcaG2uSka7HsdIa6eFWLShwS95ArPtyP7xi6FbWKpMdG38sCWgB+vCbg1h41SD8Y/2ugO1YbE643CKeeudn5I3PDNtqC/geomde0her1p55OyyN0dMJ0W/NYYsSNUeI6+XuOcNgcbgD8pt/PFetxYVuHfQh80jZaSvyc7MCWiaWzcpBqkGF45VWzJnSD29/vg8FXxRJ2xSUcmwrKkPu6B5445NfMfXC3mHz9KlqGz769iBmXtI3oMfEzXkD8Z8th6X1zHYXjlVYw+eBRvJBWx6PR9RuRXOKuybuqeHKDH8vsmOnLEhKUIVuVdYL2FNSg5NVlqBtnKi0otrswIavD8KgF4LK1tm5Wfjg6wO4cVo2HE5PwLLuHRKgUsqlCnZrPwewIktE7Z5/rEnDN456jQCTzddKMigzBdMvzkSt1YUkgxq/u2Ywio5Uh3wj2SFFh6VXD4HD6cHyBaNhs7tQY3EB8OKO64bC5nCjQ7IOpWUmHDhqglZ9Zt+h0jG8Xwf075EMjVqJB/7x36C3rw/cfAEqa51487M9UW3NYYsSNUeo6+XgcVNQi+iawiLcPjsHIoBTp60h80i/jBQYdEoM7ZsW1HKSoFPhsx8O4555w+H2iFCrFFAqZDhSVouxg7rgP1tKsHjmYFTW2NGzsxGdU3Vngj7Vbf9ImRmD+nTAph9LsGx2DpwuD1KMGpysNGP2pCyUlNXC5fZCUCrw5me+FuO0JA0mDs/AkVO1SE7UIEGjRIJaEfZhrrFyKOT8kEQUn+paNM0OT6P31HBlBkTf/09WWXGyyoqR2R0CW5X1AiprfZXgPt2TAso8f3BLjUqJ+387EgqZr6ycNbkvXG4venZOxIkKM0YP6IzuHQ14+NX/BaVvdm7WeXsOYEWWiNq9UONgZudm4dUPf8G0i3pjUGYKxg7uir++dibi8KKrBqFbuh7zr/wNrHZ3wBvJtCQN1m3aL801Wb9Fac6U/kg2qAIiAC6YPgBpSRps+qk0aByfv1UpNUGF0orgN6cOlwe/HqrEu1/sDzme9ny25rBFiZoj1PWiVMhCXkNOtxdvfrYHALDk6sFS92J/Xn2mYJtvTFhGYlDLiVGrxKIZg3Da7MDq98/0iMjPzULnNC0uGxMYTdzf48Kff5dcPRhvfrYHV1/SBxNH9gjoEXHLjIEwWZ3SnIvrvzqI2blZ+GHXcYwZ1CUg4nh+bha6pScgs4shZKU0XDn093d+lo6NlVmiOFevFTZcLy3/PTVcmVG4pUR6Hpg4IgM/7ilD9w4GXxkCYE9JYCvvoqsG4d0viuDyeHHlRZnS1GP+clKnUeLTHw4DAGZPPtM6m1+vwlo/fckGDdKSNOflWYQVWSIiAN076PGXRWNQWW2DzeFBjcWOUQM64+gpC64clyk96AK+QvnF9btw/00jkZggx6sfBo5ReemDX6Rxrf4WpWWzc/DaR7vx9ud7Mf/K32DZ7BzYHR5oNQp8+M1BTByegYIvivDDruO4ffZQeEQvOiRpkZ6oBrwA5IBWrQz59rVzmh4GvRA0nvacoiuexRiXcG+H20KER2pD6q4tt1cMGgPbJT0h5DXUIVmLaRf2wn/+W4LenQ14eNEYbN13Cl4vpJc3qwq248llF8Hu8MBkdUKvFVBrdSFBJ0CrVWJv6Wnkjc/Epp9KAQAOlxcqQcDbn+8IzL8bfsH9N41EZY0dXdL1KDlhwuSRPdC9gxEPvbolKK/fPntoUC+JZbNzpAqv//M1hUW4akIfpCdpAsbRJhnUMOqUMFlc0GuV+MvCC7C3pAoWmyfg2NizgSj+Neyp0tQ9NaNTAh64+QLUWBzQawTY7S7MvTwbJosDU8f2QlKCGqmJGhw+UYPTFh28ohjUyvvi+l1YNjsHWpUSK974CQa9gLzhmXVdlL2Qyz2YODwDcrkML2/YLS3P6BR6/GxZlVV6pvFHlXd7RJjs7hYfL8uKLBG1b3VvP9/8bA+umtBHml7D31K6eVdJ2Kh/JqsTLpc37BiV+n8fKavF1LG98GtxBZRKRUCrzs15AyGTiUhL0mDsoC5YuXZb4NiSnonYcaAKBRuLpLF+9d++vvnpHkwd2wufbD4kjac9p+iKZznWtS1HeKQ2IsS1Vb/HgqCQBfVK8LW4bselo3tg7uX9kaBVospkwZrCooBNZ3RKwP4jNXj3iyLkju4RNG/ixh9L63pF9IOglOOfH+8J2+Kx53AVOqboIJeJsDs9WP/VAaQnaUOua3O6gz5zOD0h1/WKIqotzoBxtJ1TfXPZ1m8tnp2bhU1bS6PWu4KIoqN+T5VQvbTyc7NQXm2HUS/g4LHaoKjF+blZ2LzrOMbW6xHij75ectIEmSx0hPeSk7XomKwLOe/sgukDoFTIkJigCVgeavysP27A8P4dpfm9G8Yu8LcMtwRWZImoXfO//cy7ODNojsj1Xx3AkquHQKWW4565I2BzuKHVKLD+qwMoPWmGUaeCWq0IeCPpH1/SMUWHe+YNR1mVFf/75QR6djbCandj5sQsPFNXUQV804lU1tjRu6sRd88djl+Lq3DtpL7okqZH2WmrL3prilZ6yPV6Rdw+eyhOVJrRKVWPU6etGDe0Gwq3lGDyyB74Ta8UPLxoDIw6AQmaujefzWxdrf9GuP44vw7JWqQaVOG/2xYiPFKbFuracrg8uGvOcKiUctidHhRu8Y1DPVlpka7xSy/oAVEEHE4vTtU4IKjkQS0BV43vi5Vrt+GmadlITNBg4YxBUn7194o4ddqK9CQdIBPrxrp6ceO0bEAEbE7ftr7ddhQ5WekAgMoaB/p0T8Jvr8hGWrImZOtDQr3Kpb/1Qa8VkJ/bD1v3nsTQrI7S+Pk+XRPhcHmRoFPinnnDYXd6kKATcPi4CQa9AEe1R2rVbbHeFUQUXQ3vwXU9MELdkxv2bFILctx7wwg4XB7IZTIUbjkMh8sLjUYZNqbA3dcPw8FjJuSNzwTgqxC//fk+/OH64XB6vEHlWOdUHYb0SYPZ5sL8KwfijU9+DWiVtdhdGNA7FTVmJ+68bhhOVVlw/00jUWWyQ6tRYsnMgTDqNaixOKDTCJgxvg9SEzXIykhGUWl1QNnm712S3kKnlhVZImrXqs1OGPQCOqcFRkNNS9LgynG9caLCDEGpwLtfFGFcTjfI5UB+bn/YHE58+O1BTL84E3+YNxyCUg6z1QW7w41/fHAmqulN07Jx6QU98dQ72wLeblrsLmzeeWYcnUEvYFqIt6D/+6UUnVJ1WHzVQKQl62Cxu5CgEVBtVgZFL+7Z2Qi3xwubww0RIhJ0SsAb2ALWOVWHxTMHQxRFJCWErtT6z8msMX2RYtSirMqKrXtPApChe8cEdE3TN909SAQgkzWyArVHZpsLeRdnQiXI0a2jARu+2o9BfTpgx/5y9OqSiMIthzF9XG+IogiZTIZVa7eHzBuLZw7C/y28APtKquDxilDI5RAhIqNTAlQqZUCvBn8LQUW1FaIIvPHpryFbbDf95GuxvT0/B26PFyazEzaHByerLFALCnzyXTEWzxwUNM7W5fblqwSdgEtH9wyIanzLjIEB4+VvzhsIjSCD1Q4UbDxTpvTqkojrLu2Hd/6zDxXVdt9Da73eFUuuHhz8UohTXRG1rEjzVHPyniz4HtywB8aSawaja5oeAGCxuXD/TSOx5j97MW5oNzicHqz4l6+77+SRPTBheAZqzA4cOFodMsq6Qe8bUlE/8rt/3H6tzYmCjUVSK69BL+DKi3rDqPfF7fDvI//SftColHj9o91webyYPLIHjp2y4HStDfsOV2HUwC4BcQWWXD0Ydpcbp2vtKNhYhMvG9ERFtQ1GvRpqlRzXTuyLdzftl8q2aouz5X4yURRZ7J2DykozvN7wp1Bv0OCBFzeHXf7ALWNgszhaI2lxLT3dgPLy2mgnI+5Ecl7T0w3nKTWNayrvRcrs9GB3cSVSErX4e7352G6cmg0A6JiiD/ngu+TqwVDKgbc+3ycty7s4Exu+ORhwY8nP7RfwxhTwPZheNaEPenY24ql3fPucNSkr6LtqQYE7rhuGDV/vx6RRPfBSvQqyvzumv+uhWlDg//12FP762v+kdW69dgh6dEzAH579XmoBa9hlKFSXYbPTg617TwV1F3q/XgAc//fS0+pdM3Ew/U5bLVtiJd81ev5kwO6Sajz77g7pgS7UdDZerxcGnVqqjIbLG1dN6AOVIEfhlhJcOroHundMgNsDKU/VX/f22UMhlwNPvbMtZD5VCwrkXZyJTVtLcfWEPrA3mFJizpT+8Hq9UKsUMFlcvjmlRWDTVl/l9+HFY2C2ufDYP38Kud36Lau3zx4asky5OW8gzFYn/vnJHl/emZ2DkpO1kMtkGDuwIxLU9doeWjGvtdU80FKae3yxkvfo7KWnG1BeURtZnmpm3jPZXLj3+c1SuRCuPPvD9cPxRN18rmpBgftuHIm9Jb55rUN1971lxkC43B68/tGeiJ45bp89VCpT/V1+E3QCKmscYfdx47RsuNzegOFM9Z8z6m/fX67OmdIPn/1wGOOHdceawn3S84pKkOOlDbuhFhRYsXQsMjNSWuR5U97kGkREcczr8cIrinj9o924cVo28nP7Ye5l/dE3I1l6kB2X000q3AFf950X1u3E0XJrwDKtxleYz5qchVmTs5CWpAk7L2WnFB20GgV+e0U2/u+WC5DRyRByvcMnanDFuEypEuv/fE1hEaaN7YVZk3z7yhufiVOnLdL+88b7Ig/WWF3S9yYOz5DSmpakQd7FmThyqhaVZmfAmF6vxysdu39/L2/4BeNyukl/ryrYDpPVFZDecNPvNFyP2ieT1SVVYtOSNJh7eTZe3vCLr/V/ku+arayxI9WogcPlPpMf6uZErM8/3nRtYREmj8rAmsIieLwIm99E+Kbdybs4M6j3hX8dyHx5pMbiCrr+3/58LzrVfU+qTMjOfPd0rQOnTY6w263/t83pDlmmvLzhF3SuC3a15OrBEL0ienY2on9Gkm+YgAwwO9w4Xm3HwRO1OFVthUEvSN9nXiM6e43dv0w2F0rLLTDZ3dJ6Br2ARTMG4v6bRsILEeW1jpC1qqDo7GHKM7fXizvnDMP/u2kkrp3UFxa7C+lJWhj0An57xYCg8uKlD35Bt45GLLl6sDRbQn5uP3TrmIC88ZlIS9IEbF+EKJW1E0dkoHN6Al7esFsqMycOz0DhlpKAZ4j6lVj/diqqbWHLOV9ZuQ9zL89Gn25GzLu8f10cAi96dDQExs1oIexaTETtms3phlGvhsvjhcvtld5kzru8Pwx6AUa9gLKq8A/S/sI7LUkDvUbAmv8EBqmRyUJHHdSolVi9bidyR/fAI6//iLzxmSHX83oRMnCMQS9ArxUCWo0WXjUI324/KrWazs7NgtPtObPdemmt/+Z1/VcHI55kvf7fDbsHcfodaoz/+vBff0fKasMGFrE53A3GiYWeK9Hh8iDF6HvYO3isBgN6p4RcNzVRg5NVVny7/ShuvGJA2O1BFr4yLANg0Kmw5j+/BOTxwi0lKD5mglcUw2+33t8alQJyeZiHWbcHc6b0Q43Zgdc++lXqRp3RSY+DR4MDu8yZ0g8fflcc0GWPeY2o+cLdv45VWgOG8SybnQODXsB1l/aD6EVAF9vFMwdhSGaKb6aBOuGi+Tf82+MVsWrtNuTnZmHL7hO4dHRPWO0uTKsrK0OlbdeBCny77Sjuv3EEqmodQQHj/FHP/c8c/sBLBr2AzqnZAeWrVqMI6iWyYPoAaXyrn6ZBXBD/9/3lnMPlwYkKCxRymTQtmVpQoGPKYDy57CLoVeHn0j4b7Fp8jti1ODrivetTtMR91+K6cS0mmxOCUokaswOJBjWKSk7D5vBgR1EZrhjnC46QYtSg2myHoPDdYA4dNwVME6IWFLhzzjB4vF6sXLNdCjDje7BW42hZLWptbvymVzIqa+wBN5gF0wdg/VcHMC6nm9TFKC1Jg3mX9ceJShvUKjk6Juvh8nhQZbLjN71SsfzFHyLqPnTD1P5IMmjqpvZRokOKFkdOmlFWZUViggBRBDI6Bk4j4v/u8gWjoVTKIIrAA//4b5NdJB+8ZTRUghI2uxNqQQmT1Ymjp8xwe7xwuHx38m+3HcW9c4ef/cN1M8ciBa2L5o0jPC9ly1mMbYyVfOfvohcqsInN5cGO/ZXo3jEBq9b65kiUy2Qhr+M/LxgJuVwOk8UJvUaADCLe+mwvBvXpALkc6NklEes2FaH0pBlXTeiDPl0TodYoYbW7oFLI8Y8PduFEpRWdU3W4ZcYguD1eFB8zQS3I8Z8tJSG79W755TiuHJcJk9UJhVyO9V/tx/4jNVKaHrzlAvx6qBIOlxebfvJFFO6cqsPvrs1BrcUJucwLrUaNimobNGoFvt56BFPG9ILd6YZcJkNZlRW9uiTieHktuqQbQnbPu2pCHwzqkwKXywuvCNgcbigVcqQmabD7YCVsjroXaPAFcBEUcsy9PBsnKizokp4AvUaBBK0KdqcHZpsLqYlqqBS+86hWKWGxu8KOjQ/4Dctr43YMbtx1LW5rv9P5Sk+4/ZzFONfO6QkwmR2+Kb1ESPnbnyfXFO6Tvpaf2w8AkNHRIHXV9fOXE1qVIiA99bsiZ/dIwrWT+6Go9DRUghwKuRxGvRo6jRIvbdiFWotLmr5r1uS+KNi4H3njM7Hh6+DuyP4Adpldk7D/yGl0TtWjxuKAUa/GyUoL+nRNhEwGiDKZL7CcRsDG/x3G6IFd4fF6oZDLoFUpUFFjR6JejQPHauAVRWhUcsjgm9N7YGYqDh03we3xokOyDrUWJ7p1NODg0dOw2D3Ytf8U8sb3xdFTtXC6vfh221HMvTw7YPoxf3r/3/xRMOoEyAGY7W7o1Momy6KmsEWWiNqHetPsNHyInTOlH7J7JSE1UYM3P/Utf/PTPbhsTM+AsSH1pwnJz81CZY0N3247ijuuy4HF7gkIMDM7Nwtf/3wEHVK0SNAocO+8Eag2O3Cy0gqL3YUTldagLkYmqwtf/3wEuaN7BGzrxmnZuHFaNv758R7ps64dgrtHGvQCtGoh4O3xoqsGYfPOYzhWbsHcy/vjVJUNvxRXhHy7W1FjQ63FiY+/PxQU8t8/YTqAM1MAnLbh082HMHJA54CAVfXfwi66ahCMCQIQuLtm/WYRjUUKs65KKceTdWOf28SY3TgYR9wYr1cMGdjEHwBk/VcHpClvNv1UiuunZIe8jstP24OCKk27qDfe+myv1OMgPzcLlwxX4MutR5CaqMbLb+0OqJimGtWosbiw4l8/BbxEcnm8+GTzIeRd7IvICRHokq7FmMFdA1pXbskbCOAwSk+asXDGQKxauy2gt8MPu3zB2h56ZQsyOiVgyuie+Ps7/wvMMxv3Sfmjftnwzud7sGjmILzYoAXlh13H0b2jHqeqbAEtr4tnDkKHZA2eXrMjoFxwub0B+d33mRlvf763XvnWH4JSFlB+NHnNxfl1Gjfa2u90vtITbj89ErGnpHnjXP33rTUN8mjhlhLMzu2HNz/bE7DrjT+W4Iapv4HN4Q55H62sseOtz/Zg7mXZ0n6zeyTiT78dhVqrExa7O6BMys/Nwluf70GtxSW1otodvl5YYl2vk3DT8Hzw9QGMHdQlIDbGzXkD8eane5CgE9AhWYuKantQWfLPj3dLZdmcKf3RrYMOJktggKj83Cxs3VsGtaCQXv41DDD57bajuHZyVsD2bpkxECZL6GEWvxysxIavD2Le5f3xwTcHfZX2c7w+2n2L7L59+/DAAw9g79696NSpE+677z6MHz8+4u+zRTY62CLbOmK+RTZci5zN95nd5YUoijBolRBUCt/NwumBMUEFi9UFnVaAx+2BTC6HxeZC8bHgVtg/LRgNj8cLrUYBh8MNjVoBj0eGKpMdyQY1HE4X5HIFHE4Pkoxq2BxuOF0eGHQqmK0u6LRKqASFL2y9SgmH04Pyaiu6dzTgl4NVSE/SorzaFrzf+aN8LZ1O37YEpRx/jrCV9k/zR0GplMNsccKQoIJCJsORMjMSE1RQCQpU1zqQkqiB1+OBUqlEtdmBZIMaXq+IWqsLOo0SBr0Am903FjApQQW5AvB4RMjlcuwoqoBXFNGzkwEffnsQowZ0RocUHewOD0xWBwb0TkV1rQNqlQJatRJatQK1FhcsNhd0GgEGnQC5ArDYPLA73XXHKECjUmJbUTkS9WpoNb5J1v/z35LAFt6639zs8OC5d7f7xvHWdYH+dttR5I7ugU82H8LE4RnSFChBgXPqabGyJUyrQMPAH/7f6M8LRiNBE/7tdJvOdwAgAGWVDtSYHThRaZGmsxnQMxlujwgRInQaFWptDhh0ahw5WYMEnRo6tRKP/euniK7jqyb0gdcrNugVcAFMFge0agG1VieUCjn0WgXkcjncHhFWuws6tRIutxcmixOpiVoAXjhdIhL0SjgcXticbiQZ1Fj5jq+i6pfdIwk3TBsgXfNKpQzf/nwUOf06QqmQw+n2QK9VwePxQKlQSK212/aVYeygLuiYooNCIYfHK6KsygKbwyNFRs67OBPfbj+K22YP9eU/oxpe0ZffUgxqnK51SGXT8XIz/v1NMZZcPQRvfPorxg7qgi7pCVI6j1eYsXnncQzN6ohOqTqcOm0LmvZnYJ8U7C+tDkjDI0vGwunxwu32RTpPMqjh9nhhtrpg1PvKq6OnatEhWYcaiwOJeg3UKjlSjZqIo7nKZUCVyXHWPSSaJcKWuJC9Bs6xVeh8CJX3wpUnK5aOPbteMOfYmtrs8u0s9xdqP51Tdbg9fyhKTpjQraPB1+MqQQ2L1YEkgxana+1ITFDDandBrxWw9/BpWOxu9OxkwBuf7oHL4w24Twztlw6NWoGaWifsDjcMCSqYLE5oVQrotQKcbi+qa+1I1GtgsTmh1wqotThhTFDDYndBrxFgsblgTPBNWVdZY4deK+Cvr/0PBr2AicMzoNUo0DFZD7HuoE9WWtC/RwrUajkcTi+cLg9sdg+OV5ghlwNalRKJCWrIZDIkGlTweoFfDlYEtCL7ZyawO93QqJRY/f5OqVzzD+vomp6ABJ0Aucz37JKSqEGt2QG1WgnRK0IlKGC1u6HXCqgxO5Cc6OsRYneemd/WX45t+OZgUG+t+387EofrWnHr98763bU5OFFhhl4jQKGUIylBhZLj1cjqnhLyemWLbBOcTieWLFmCefPm4Y033sA333yD3//+9/joo4/QtWvXaCePiJojxBvau+cMg9PtDWiFNeiFMFFJ++G/u45j4sgeAVFU648zcbg8qDxtw5t1b0//9NsROFpmxYvrz7SqLLpqEEpOlKNjagKONRjP5n/Le/UlffH5Fl9Lz5wp/dExRYMTFZagcPkB+62244X3d0rLb7t2MOZM6R/Q8tIxRRd6HE3dW9DZuVko/NAX4dU/YXpjkYlvmTEQchlgtjlRcsKNNz7dG/C2NtmghhcISPfvrhmM07XOgDe3t8wYiDWF+6SW7PRkbUDL2k3TsmFMUAW0QnVO1eHaScFvoK8c1xtmu8t306v3m+dfmhXU0j47Nwud03S48qLeAS3rnVJ1GNwrufVaLBpplQg3DmvngQps+PpgbLZ6CcD2fVUB+SA/NwvFR0+jQ7IW6zbtD9mV95ufj2BcTteIr2P/mPT6n+3YX441hUXS7/3j7hOYdmEvlDdohZgzpT8+/M7XAnBz3kD89OsJjPxNZ7xUL6/XH2/at3siJo7sgQdf+m9AC+3w7I4oOWmR0hsq8rI/D6wM0XoxdWwvfLL5ECADTlRasXN/OTb+WCq1CGV0SsCUC3oGRCi/JW8grpnUF0fKTJg+rjcqqu1ShHW1oMD8Kwfgsgt6Bkz71TAvpyb6xgX/578lmDq2F37YdRzHymtRWeMIOE/5uVlhy4Y3Pv01KGp5U9Fc6/di8ZfHrdJa14yWwIa9BqLeinkOWjQuQQu0plZbmlG+ncP+Gu4nLUnj68m0ZhtyR/fAX17eEnBPfu2jnwN6U/gjnfsrZKGi86YnaaBSyvH2f+pmJni7KCBPfvFjCUYO6Ix/fex7viisa7X8e72p9uZM6Yfy03K8XtcbIj83S4oL4F+/YQTzzqk6XD2xb8hy85a8gVKlO1Qrsr+XSP2eJf5nCQDSvTBUK/TNeQOxb/cJZPdOx3tfFAU8MzWc/kzapr9XWYNyufhYDSAiqHeW3e6E2erCyxvO9J5ZPHMQFOqzjz3crqMWb9myBXa7HTfddBMEQcCkSZMwatQofPjhh9FOGhE1U6iIgwePm7CqYHtAhNDwUUn3If/S/tIDqf/ztYVFvre08L1pPFllxcThGXC4PJDLFdLDu3/9F9fvwuiBXWEKsY+1hb55I1/a8AtmjO9Tt9+98HplUsHe2H7rL3/m3Z3wer3IuzgTt12bg6sm9MHpWpsv6EI9/iAM9fe/prAIM8b3aTIy8Usf/AKNSoBWJUiVWP+yNYVFUAlKqWuk//PjFVbpIb/+dvznbE1hEY6esgTsp8biwpEyS0B6xuV0Czq3awqLYLK4oBbOtOz4f/MOybqgqI5rC4ugUwtBURdfWLezVaO7Nhb90h/4o776v1EsRp4tq3SE/K2umtAXL33wS9gIvVMv7C1dx1dN6OOLlHlxZtjrWC6TBQVO8tYFVfH/3leMy8TRcmvIqMP+a9C/75ca5PW3P98n5bkZ4/sElAUGvYCKGjtkMjne/nyvFP3TH3m5qTzgz3trC4sweWQPQDyT/onDM6T0zhjfJyhC+UsbfoFWJaBbBwOOhTi207UOqRJb//zWz2Mvb9gNk8UlpeGq8X1xvMIWtK1Iy4ZIo5avqSvH6pfHofLFuWpOxPQTFZa4ia4erjxJ0quava2WiDqv1wgRl2/nsr+G+/FH5A9V1ry4flfAtVv/Pui/Nk0WV9B94h8f/IJjFdaQ23xpwy+4YlxmwD5Drff25/tQYzkzc4BXBCaP7NHo98bldAtbbr5Ulw/rlxn1j2vG+D4h74MTh2dg2thesDk8yBufid9eMSBkHr9kRA/8o+581X9mCrWv+uVYw3K5Q7Iu6Dsvrt8FQVAGfb76/V0wm91N/ubhtOuK7MGDB5GZmQmZ7MyrhN69e2P//v3nLQ0ymQxavbrx/3Tq85YeolgV6s20FH20/ljURqKSVtbYQ36OusjDs3OzsPHHEuntY7U59DiQ07X2sPvwp8XfRcfh8oQda+Pf74LpA3z7bbDc5vSg4IsilJ22Yk3hPnyy+TBm52ZJN3h/mjdtLQ3evyM4ErJ/eeA+3GHTF+rzxo7b/++GLWteUQz+XiNTrljsvged+r/5iQpL6N8izJQoLTkhe0ONt5IosWxWTqO/UWumrTVUmULnm9O19uD8V2+5yeqUruM1hftQsLEIBV8U4ZPNh3HLjIEB5yg/Nwtd0nT4dvtR6bP6582/TXtdMKSmrkH/vhuuI697KqofKdzfHW/9Vwew+1CV1KKy4ZuDKDkZHE20qbzfMcV3HFL6652fcPnS5nTjtMkRcttNHa//7/pR1kPmOZwpmyLZXqRRy/3fC7e/lrjeG8tzDVWZQk8fEmv5DkDI8uRspzdpzjkMx+F0N3kP8m/vXPbXcD9SFPAwZU3Da7dhS2K4a7N+nmm4TMonssb37a03gnPTT6VnepyE+14T24MMYZeFmuHA4fJArZJDrxWw/qsDKNhYFDYKsvRM0+CZKdS6/nLMP1sCcOb3Dnc/Dlfunq6142y1667FVqsVGo0m4DONRgObzXZe0/F/L/3Q6PIHbhlznlJCFLtChbiXy2QBN1T/Mv/n9ddVC75pMUJ93qOTAXkXZ+KTui5y/reP4cLqJxs0OFJmDrnM/wZTozqTLq1GGXLd3l2MWDY7BxXVNt9+6wn1FrSi2i4FsfGPlfN3T264f20TIfSltKmUUoW64bqh0h3u3Pq3629Zqz/WS173MjHU9xr+LZfJpNaG+uff6faGXF8lhD7Os2mxiFS46yJJ7xsrlZ2RiBVLx6Ki1oEDR2qCfqPWTFtrSE3UhDxeg14VMv/5/zaGWV5RbYfF5gt8kqhXQ6NW4FSVFZ9uPoR5l/8Gh0+a0KOTAW9+ukc6b/5taNWKiK5Bo04Vcp1BmWlIT9ahc5peWl5//mXgTIuK/+/m5AG1oIBOo8Tiqwdj9bqdAb+7w+WbizpkXlMpIUIMue2mjtf/tz/fqQUFlEp5s8vBhttreJ2Gu+793wu3v5a43hvNcw2kGLXnvUxoNfXKk2qLE0l6la8SexZdpJtzDsNJ0KmkuUg7pupQHuIeFKr8bu7+6u8HMl8E4cbKmobXbsOWxHDXplwmCzutlj+fSNsMs295vcayimo7qs32iL7X6LGEuSfXL7fqf96nW5LU3RjwtQyHPPf1WvjrLw+1rk6jxLzLf4Masx3jcrpBLvfNiPDqR79g4oiM0GV+mHI32RBYF2uOdh3s6fXXX8cXX3yBN954Q/psxYoVKC8vx5NPPtki+7DaXXj41f+FXf7/fjsKf30t/HIA+NP8UdBpOC8cUWO8XhE/7DqBp945M3bsnnkj4HR58K9Pfo1ojOx3O45hzKAuQWP56o81qz/m6//9dgQqqh0hxshWo2NqAhwN9tH4GFlrwLpzL+8PpVyGf39bjCvH9Q7a1sIZA/Hepv3SFCNXT+wbMK5u/pW/gcvtDRjXWn9sUHPGyIoAbPbQY2Q9XjFgbN6t1w5GlckZFDXVPz6xOWNkr5nYN2Db+blZyOhkxIjsjpDLZQG/eagxP/m5Wcjslgir3RNwXdxx3TCMGdQZcrmsyeuqpa7FUPuMdL22zmJxYPMvJwPywezcLPxaXIHRA7vg/S9Dj5H96dcTGDWgM94LMRbspmnZcDYYszZnSn/oNAq8vGF32Eij5zJGdtFVg/DpD4dQetKM22YNhtMl4sX1u5A3PhMFG32BTNKSNLh+SjZWrt0m/d1wHtxbrxmMqtrAPFA/76UnaeD2iDhd65DmdGxqjKxMDmzcUoKpF/YKikI6/8oBUAnygCjP/ijj9csttUqBD78txo3TBkCnUeDYKXNQOdjYGNn6ZUOk13P98vKeeSPgcntb5XpvTl6Kl3zX0lrivDRVJtff3rnsr+F3O6fqcPUlfbEuRFnTMC/Uz4uNXZtzL++PJL3qzBjZBmNV/WNk/WNd/f9vOCOCSnlmjKxaUGDhVQMhl8lQsLEo5PcaGyPrz4ehxsjOvbw/fjlQjtEDuwSUxTfnDYTV7sRrH52Jvhyq3Lo5byD2Ha4IO0a2YTmh0wjwer1Y99UB1FpcAcca6juLrhoEjUqOshAR2Uf17wij8ewqs+26Ivvtt9/ivvvuw3fffSd9tmjRIgwdOhSLFy+OaBvnGrX4wYVj8eA/wi8HGNk4FEYtbh1xE7W4/ptp+CIc1tTNo1jrjxyskMPm8KCi2obTtXZ8+sNhKeLfbbOHwmxzwqBVwSN6oJApYLG7YNSpYDI7UWN1QqNS4IOvD6BHxwRMGtUTp2vtSDZokJCghKnWBZvdDWOCCnaHGw6XFwad4ItarFFCpVLgtMnhe6Or8kU/FlQKuFxeWOwuCAo5bHY3NCqFFAFRq1HC5fJFF9WqldBqlLA53LDZ3UjQCtCoFbDafd19E3QCLFYXEhNU8HhFmG3+CIpOJOhUkMmAGrNTilpYbXYgUa+G2+2BUqnwzUOnU0Oh9J3UWrMTSQbftqprndBqlFAp5YAMcLs8kMvlsNjdSNSrIMpEuD0iPB4Rdocbeo0AlSBHtdkJlSAPjFps9x2LUauEXCkLilqcoBXg8XhRUeOApm69BE2YqJcWJ1IMvsivQesjxHXR1Bya5yrUtdhYlNcm1mvT+Q6QohafrrUj2ajBqjW+CMB9uydixvg+EEURqYlaWOwuJGgFOF0eCEoFPF4PFAoFbHY31Kq6SJkaJeQKGewOX9RNf+RsQSmHyeybI7Ha7IBOq4RSLkeN2QmjXgWHyw2lQgGNWgGX2wuX2wub3Y0UoxqQ+VpDkhLU8Hg8gEzuyzM2F2xOD5ISVBCUCl9kUY0SDpcHBr0Al0uE0+3BI6+dac24YWp/rC3cL/2dlqTB5JE9kNktESrB14UPogibw9cl2KBVwe70zQcrkwMale+adLo8cNflkySDGg6nB1aHG+nJWjicvm7xSQkqqAQ5aq0uKBVy6DRKeL0i7E6PVBaoVQo4XW4o5AqYLL5zoVErYLa6fOtolNCplLA5XEjQCFK5aLa7YXF6wkYtVshlsNSVHW6vB0q5rxxszvUsl8tQVesILI8jzIvN1oy8JEUtjrBMaAvOau705oq03IpwGyl10e/Dbu9c9lf33QqTr7xP1AvwuL0w211QKBSoNjt8cyYnKGG1eVBlcsCoV/nukVoBIkTUWlxIM6rRq1syKqvMUlr0GgEOl9sX9djuhtnqi3Rca3VCo/JF8fe4vTBZXdCqlVKUYpfbDUHp+1unEWCti1rsFX370qqVEAQ5ZPDC45FJ37M6XNCpBZhtLmj8UZFdHuwrqUJakg4nKixwurzYdeAUbpg2wPc8olfBUVcOGBN8Ucb1GgGQeQFRXhdpXC2VsQ82mBu+c6oOy2YPlaI4u1weyBVyyOUiIPpmbtBrBZyutUOrVkIGwOHyQqtRQqmQQanwjcOoNjtg1PnKOI1aCbfbFy0+JVEDt9tbN6ODBh7RA5VSCblcBpvdDavdjcQEFTqkqIEww6IjyXvtuiLrdDqRm5uL66+/HjfddBO+++473Hnnnfjwww/RvXv3iLbBimx0sCLbOmK+IttcYaJsdktPQGYXAyADdhysklo6snskYfLonvhHvbedi2cOwpA+KTh4tBYVNbagFo75V/4Gdqc3oHUmVCtvqFYQKYJjg3RI+81MAbyNH5N/Hs/6323JCJ3xlhfb6vHESr7zVxIajUYaQb7bU1odNJfqstk5UCllOHrKEvRGv2BjUVB+mji8e8ieF5/9cFhqCZl/xYCgSLr1WxFDzU3pb/2p35obas7ioO1kJAIIP591W4mc21bzQEtp7vHFSt6js9cmr/kI5soN1fLZsKxpaq5cf1l46ege6FY3rderH+3GZWN6BvSIyc/NQq/ORljsbrz52R5cM6kvRC8CykF/mSco5EHR3BuWby31vNmuK7IAUFRUhAcffBB79+5Fx44dcc899+CSSy6J+PusyEZHmyx04kC7q8gCQW91g1r95EClyYmqWt/bXH8LbbXZgTSjBqlGla8yKQts4XC4PEjUq+BwumHUqaS30nqNALfHAxFy2BwupBrVvrncah2Nv72uS0elyY7U+vtt5Jik7egFmCyt0woSb3mxrR5PrOQ76fw11dISQb47bXbBYnfB4fIiPVEtTbkU9Lku8Pr2twKmGHyBEk02N+wO39t/h9MNtaCEw+UOaJ1stBVRPJPe02YnBEEhtf4E9f5oajv1jt1s90XgbrKV8zxrq3mgpbAiSw212Ws+XDkaaat3vfUMOhXsTg8sdpfv2cTlaz22OdwQlHIk6oSAHkxmuwsqwTevvFatDLlcr1XB5vCgxuJAWqIGcrkMFdV2JCaoIIreRntxtNTzZrsO9gQAWVlZePvtt6OdDCKKFhEwaoXAOffqPyt4gdQEFVITAgNQdDSqpeX+7ySolUhQNyhW6wWu8O/jTAF+JiJ5/e9JaWksHeEqsaGOydvgbz4LUWtreA02vOYiyHfJOgHJugbLxRCfN7y+EZifAvKklB9VAfsM+31/murSm5mRcubhS1AEHV+T2wlx7FKeZr4kovrClaMhys+QZW3D9XQCAP9YVHWD/yNkOZZW/9knxPJEjRKdEs9sI7nB/MWtXb616+l3iIiIiIiIKPawIktEREREREQxpd13LY4FMpkMWr06/AoiYLNyDC0REREREbUPrMieo/M159j/vfRD2GUPLhzbeEUXvspwJHG9HDZn2GVqbWSTYje2jZbUnud7a02xcl5jJZ3hxHr664unYwHi73haUiTnJt7PX7wfHxD/xxiLxxeLaY4lPL/nX0uc83YftZiIiIiIiIhiC8fIEhERERERUUxhRZaIiIiIiIhiCiuyREREREREFFNYkSUiIiIiIqKYwoosERERERERxRRWZImIiIiIiCimsCJLREREREREMYUVWSIiIiIiIooprMgSERERERFRTGFFloiIiIiIiGIKK7JEREREREQUU1iRJSIiIiIiopjCiiwRERERERHFFFZkiYiIiIiIKKawIktEREREREQxhRVZIiIiIiIiiimsyBIREREREVFMYUWWiIiIiIiIYooy2gmIdZWVZni9Ytjlyck6nD5tPY8pah94XltHJOc1Pd1wnlLTuKbyXlsWT9dvPB0L0HaPJ1byXVs9fy0l3o8PiP9jbO7xxUreo7MX79d8W9RSz5tskW1lSqUi2kmISzyvrYPn9fyIp/McT8cCxN/xnG/xfv7i/fiA+D/GeD8+aj5eE+dfS51zVmSJiIiIiIgoprAiS0RERERERDGFFVkiIiIiIiKKKazIEhERERERUUxhRZaIiIiIiIhiCiuyrUkGHDtlRmm5BSa7G5BFO0FERERRIANMNhfvh0RE7Ukrl/2cR7a1yIA9pTVYVbAdDpcHakGBZbNykJ2RCHAaMCIiai94PyQian8aK/tbCFtkW4nJ6pJ+OABwuDxYVbAdJqsryikjIiI6f3g/JCJqf85H2c8W2VZSbXZKP1xakgYTh2cAMsDi8MCoE/gWmoiI2gWzzYW8izOlLmWbfipFRbUd1RYnjFohuokjIqJzJ/NVXKvNTiQZ1DBqlQF1IT+Hy4Nqi7PFdsuKbCtJMqihFhQw6AVMHdsLawuL4HB5sOHrg+xSRURE7YMMOG12YsM3B6WuZbNzs1C4pQRJelW0U0dEROcqTBfi7h0ToBYUAZVZtaBo0bKfXYtbiVGrxLJZOZg8sodUiQXYpYqIiNoPk9WFZ9/dEXAPXFtYhMUzB/t6JxERUUwL14XY6/Fi2awcqAUFAEgV3JYs+9ki21pEIDsjETqNMmyzOrtUERFRPAvXtUwURfZKIiKKA411Ic7OSMSKpWNRbXEiSa9q8eGVrMi2JhHonNb6zepERERtkX+YDe+BRETxqdFyXgSMWuFM410Lv8Bk1+JW1jlN3+rN6kRERG2Rf5gN74FERPEpmuU8W2RbmVwua/VmdSIiojapbpgN74FERHEqiuU8K7KtSQYcO2XGyQoLkgxqZKTrfT8qb+BERNReiJDezFebnYBMBqNWyXshEVG8aKwLcYipeVoKK7KtJUwoak67Q0RE7Qrvh0RE7VOY8j81JaFFNs8xsq0kXChqTrtDRETtCe+HRETtU7jy/0SFpUW2z4psK2ksFDUREVF7wfshEVH7FK78r6q1tcj2WZFtJf5Q1PVxygEiImpveD8kImqfwpX/KQZti2yfFdlWwikHiIiIeD8kImqvwpX/ndP0LbJ9BntqLXWhqFfeOQEnK82ccoCIiNonTsFDRNQ+hSn/5XJZi2yeFdnWJAJdOyRAJROlv4mIiNqdxqZmICKi+NWK5T+7FhMREREREVFMYUWWiIiIiIiIYgorskRERERERBRTWJElIiIiIiKimMKKLBEREREREcUUVmSJiIiIiIgoprAiS0RERERERDGFFVkiIiIiIiKKKazIEhERERERUUxhRZaIiIiIiIhiCiuyREREREREFFNYkSUiIiIiIqKYEpWK7M6dOzFq1Cjpb7vdjgEDBmDo0KHSf/Pnz5eWf/bZZ7j00kuRk5ODuXPn4vDhw9KyEydOYMGCBRg6dCgmTpyIdevWSctEUcTKlSsxduxYDB8+HPfeey+sVqu0fMuWLZg+fTpycnIwc+ZM7Ny5s3UPnIiIiIiIiM7Zea/IfvLJJ5g/fz5cLpf02d69e5Gamopt27ZJ/7366qsAgP379+O+++7DI488gv/9738YPnw4fve738Hr9QIAfv/73yMzMxNbtmzBk08+icceewzbt28HAKxduxafffYZ1q1bh02bNqGiogIrVqwAAFRVVWHp0qVYsmQJfvzxR8yaNQuLFi2C2Ww+vyeEiIiIiIiImuW8VmSfeuopvPzyy1i6dGnA57t370Z2dnbI7/z73//GxRdfjBEjRkClUmHZsmUoKyvD9u3bUVxcjF27dmHZsmVQqVQYNmwYrrzySqlVdv369Zg7dy46d+6MxMRE/P73v8eGDRvgcrnwn//8B7169cLll18OQRCQn5+P1NRUfPnll61+HoiIiIiIiOjsndeK7Jw5c/D+++9jwIABAZ/v3r0b5eXluPLKKzF27FipsgoABw8eRJ8+faR1FQoFMjIycODAARQXF6NTp05ISEiQlvfu3Rv79+8P+d3evXvDZrPh2LFjQcv8yw8cONDix01EREREREQt57xWZDt27Bjyc51Oh+HDh+Of//wnPv30U6jVaixZsgQAYLVaodFoAtbXarWwWq2wWCxByzQaDWw2m/RdrVYb8D0AsNlsIber0WgCxtASERERERFR26OMdgIA4E9/+lPA3/fddx/GjBmDo0ePQqvVwuFwBCy32WzQ6/XQ6XSw2+0By+x2O3Q6HQBfxbX+cn8FV6fTQavVwmKxBH23c+fOzUp7ampCk+ukpxuatU2KDM9r64iV8xpJ3mvLYuU8RyKejgWIv+NpSbznxf/xAfF/jLF4fLF+z2vrYvGaiHUtcc6jXpEVRRFPP/008vLy0Lt3bwCA0+kEAKjVavTp0wfFxcXS+h6PB6WlpcjMzERSUhLKyspgsVig1+sBAMXFxVKXYf93/RGSi4uLodVq0bVrV/Tp0wfr168PSEtxcTFyc3Oblf7KSjO8XjHs8vR0A8rLa5u1TWoaz2vriOS8tpXCvqm815bF0/UbT8cCtN3jiZV811bPX0uJ9+MD4v8Ym3t8sZL36OzF+zXfFrXU82bU55GVyWTYvXs3Hn/8cdTW1qKmpgYPP/wwxo8fj/T0dFxxxRX48ssv8f3338PpdGLVqlVIS0vDkCFD0Lt3b2RnZ+PJJ5+Ew+HAtm3b8OGHHyIvLw8AMH36dLz22ms4cuQIampq8PTTT+OKK66AUqnE5MmTsX//fin405o1a1BeXo5LLrkkymeEiIiIiIiIGhP1iiwArFixAlqtFpMnT8akSZOgVqvxxBNPAAD69euHFStW4OGHH8bo0aOxdetWvPDCC1AoFACAZ555BseOHcOFF16Iu+66C/feey9GjBgBALjuuutwxRVX4Prrr8fkyZORkpKC+++/HwCQlpaGf/zjH3j99dcxatQoFBQU4MUXXwwIHEVERERERERtj0wURfZTOAftvZtVtPC8tg52LT4/4un6jadjAdru8cRKvmur56+lxPvxAfF/jOxaTA3F+zXfFsVN12IiIiIiIiKi5mBFtjXJgGOnzCgtt8BkdwOyaCeIiIjoPJABJpuL9z8iongXxfI+6lGL45YM2FNag1UF2+FweaAWFFhy9WD07mJEgloBsHcIERHFoxD3v2WzcpDdIxEmiwvVZieSDGoYtUreC4mIYlm48j4j0Ve+ywCTtfXKfVZkW4nJ6pJ+VABwuDx4Yd1OXDWhD7p3SDjzAxMREcWRUPe/VQXbcf9NI/HI6z+GftghIqKYE668X7F0LIw6IXwlt4Wwa3ErqTY7pR/Vz+HywCuKWFWwHSarK0opIyIiaj3h7n97DlcFPezwXkhEFLvClffVFmfYSm5LlvusyLaSJIMaakER8Jla8HUp9v/ARERE8Sbc/c/rDVyP90IiotgWrrxP0qsareS2FFZkW4lRq8SyWTnSj6sWFJidm4VNW0ulH5iIiCjehLr/3XrtEHy7/WjAerwXEhHFtlDl/bJZOTDqhEYruS2FY2Rbiwhk90jEI0vG4mSVFTLIsP7r/ai1uKQfmOOCiIgo7ohAdkYiViwdi2qLE0l6FYx6AXMvy5a6mXVO1WHxzMG+N/MyGQM/ERHFolDlfV0dx6hT4v6bRmLP4Sp4ReDbbUcx97Js3/IWEnFF9vjx43jrrbdw6NAhPPjgg/juu+/Qu3dv5OTktFhi4ooMOHisFgePm6BUyNAlPQHXTsxCslGNVIMK8Da9CSIiopgjBypNTlSa7EhN1MCoFwDvmYcds92F07VOBn4iIooHImDUCjBqBenvwHqQHF3SE9C32wCkJ2lbdNcRdS3esWMHpk2bhr179+Kbb76Bw+HAL7/8grlz5+Krr75q0QTFC7PdjaPlZqz/6gDe/GwvVq7ZhqPlZvz97Z+xp6SGc+oREVHccbu92HGwCn968Qc89q+f8KfVP2DHwSrf00bdw06CRsCz7+5g4CciojgVqh505JQZK974CXtKa+D1tsxby4gqso8//jiWLFmCV155BYLgq20vX74cixcvxtNPP90iCYk3JpsbawqLAm7UawuLMC6nG2/YREQUl4qP12D1+7sC7n2r39+FStOZ4B7nIwAIERFFT1P1oBMVlhbZT0QV2V9//RWXXXZZ0Od5eXk4dOhQiyQk3tgd7pA3ash4wyYiovhUUWMLee+rNNlhsrlQWm6BXiegc6ouYB0GfiIiih8OZ+P1oKpaW4vsJ6IxssnJySgtLUVGRkbA57t27UJqamqLJCTepCVqoBYUAT+if/od3rCJiCgepSVqQ977DDoV7n1+szQmdvHMQSjYWIQTldaAKJccI0tEFONkgFIhb7QelGLQoiUK/IhaZK+//nosX74cH3/8MQBgz549+Ne//oX/+7//Q35+/jknIh7JZUB+blbQ9Dvfbj965oZNREQUR3p3ScTimYMC7n2LZw7Cm5/+GtTd+M7rhuHBm0djxdKxDPRERBQnTFYXVr+/E7MbqQd1TtO3yL4iapFdsGAB9Ho9/va3v8Fms2HZsmVIS0vDkiVLcOONN7ZIQuJNlcmBjzcfQt7FmVAJcnRO0+PUaSt+d20OuiRreMMmIqK4o1TKMSQzBQ8vGuOLWmzUwO3xYE9JdcB6DpcHFrsLGf6HGd4TiYjiQrXZiROVVnzSoB6kUSlw79zhMOoEyOUtE/U24ul38vPzkZ+fD6vVCo/HA4PB0CIJiFdJBjVqLS4UfFEkfaYWFFixdCxv2EREFL+8QGqCCqkJviE0Jrs7ZBczDrEhIoo/SQY11IICFdV2qR7krwMZtS07hCTiiuyXX36J/fv3w+kMDlJ06623tlyK4oRRq8SyWTnS5O8cA0RERO0R74dERO3H+SzzI6rILl++HOvWrUOvXr2gVqsDlslkMlZkQxF9k7+vvHMCTlaakaRX8aZNRETtT939cMXSsai2OHk/JCKKZ+exzI+oIvvpp5/iiSeewNSpU1s+BfFMBLp2SIBKJkp/ExERtTsiYNQKvm5ldX8TEVGcOk9lfkRRixMSEtC3b9/WSQERERERERFRM0RUkb399tvx17/+Ffv27YPFYoHNZgv4j8KQA0Wlp1F03ITyWgfKamww2d1AywTqIiIiattkgMnmQmm5BSa7G2aHG8VlZpyotsPs9PB+SEQUqxqU75A3+FsWZr0WLPcj6lqcnJyM3bt3Y8aMGSGX79mzp+VSFC/kwI6DVVj9/i5poPPNeQOx6ccSXHFRJufMIyKi+CYD9pTWBAT8yM/NwsebD6HW4kJ+bha6pScgs4uB90MiolgSonxfPHMQCjYW4USlVQrwlN0jEXtKaoICP6WmJLRIMiKqyP7lL3/BhRdeiJkzZ0Kj0bTIjuNdpckpVWIB35x5L2/4Bctm52DV2u1nQlATERHFIZPVJT28AL774JrCIuRdnImCL4qwprAIV03og/QkDe+HREQxJFT5vvr9XVL57nB5sKpgOx5eNCZovVUF25HZLQmqFmiZjagiW1VVhbvuugvdu3c/9z22E5Ume8CceYDvx7M7PXC4PKi2OHnjJiKiuFVtdoa8D/q7lTlcHnhFkfdDIqIY01T57v87XH2oqtaGTsZzbxyNaIzs5Zdfjo0bN57zztqT1EQN1IIi4DO1oIBGpeBE8EREFPeSDOqQ90F/N2K1oIBcJoNeI3CsLBFRDGmqfPf/nZ6kRX5uP8yanIVZk7OQluSrH6UYtC2SjohaZI1GI5566il88MEH6N69OxSKwISvXLmyRRITT1ITVVh01SC8uP7MGNlFVw3CNz8f4UTwREQU94w6JRbPHBQQK+KWvIH4fMthKW6EXA78/Z2fMfeybMaOICKKEUatEstm5QSMfV1yzWB8vvkQAF8l9u45w3Cy0or1Xx0IiJPQIUWLjik6nD5tOed0RFSRrampwbRp0855Z+1JZY0T737hGwsEGQARePeLItxx3TCkGVS8WRMRUVwzWVwo2Bh4H1z35X7Muzwbh0/U4v0v92PmJX2RoBOwqoCxI4iIYoYIZPdIxP03jcSew1XweoG1/9mHOVP64/rLVEjQ+Mrye5/fHBQn4c45w7C96BSSDWoYtcpzqhNFVJF99NFHz34P7VRVrQMnKq0o+KIo4PNqswNpCexWTERE8a3a7Ax5Hzx8slb67OUNv+CO64bh5X/v4lhZIqIYYrK48MjrPwaMgX323R14eNEYVJudcHvFkONjDx2vwZrCojORjc+hN05EFVkA2LdvH15++WUcOHAAHo8HmZmZmDdvHoYNG3Z2e45zOrUSakER8AOqBQW06ohPORERUczyj6FqeB+s/8DicHlw+EQNJo/swdgRREQxJFzAp637TmFNYRHyc/uFvAd4vWfWPdfeOBEFe/r6668xc+ZMVFdXY8qUKbjssstgNpsxb948fPfdd2e143inVMiQn5slDYT29wtXKBjRgoiI4p9/DFXD++CmraXSOv6Hmu4dE3yxI4iIKCaEC/jkr6hu/LEkqC40u8E9wD+Ty9mKqHnw6aefxpIlS3DrrbcGfP7ss89i5cqVuOiii846AfFKJpNBpxFw1YQ+8Ioi5HV/y2SsyBIRUZyR+eYVPHmgHDq1Uhr3lJ2RiD8vGI2dByqgFuRIMapRa3EBOPNQU7ilBGMHDmfsCCKiGBIq4NOC6QNQ+L8SAEBFtR0fbz6EPy8YDbvDDZ1GwDMF21BRbZe2ca4zuURUkT148CCefvrpoM+vvPJKvPTSS2e983im1yqRlCDAoFPB5nRDq1JCIReRoGHXYiIiiiMyYE9pTcDDTP1xTwkaJTZ8fRAOlwd9uyfijuuG4fCJGni9wI+7T2DxzMG+N/Iy2TkH/iAiovMkRMCn9V8dQO7oHgCAoVkdIZcDaqUcXZITAABzL8sOulecy0wuEdWqunTpgl9//RU9evQI+Hz37t1ITU09uz3HOdEj4niFFWsKiwJCTndO1Uc7aURERC3GZHVJDyZA8Lin+m/t9x+pwT8/3o3FMwdDIfd1KfYHC2mJwB9ERHT+hAr4VLilBFdN6INX/r0bDpcH6786KJXt2RmJWLF0LKwuD3SC4pynI42oIjt37lw8+OCDKCsrw5AhQwAA27Ztw4svvogFCxac/d7jmMnmliqxwJmQ030zkpHAgE9ERBQnwgX8kKIQ13UxXrF0LKotTiTpVTDqBJisLjz06o9BFeCHF41BKqepIyJq80KV/+NyukmVWCC4bDdqBWRmpKC8vPacy/mIK7IWiwUvvvgiTp8+DQDo0KEDbrvtNsydO/fcUhCn7A53yBu73eGOUoqIiIhaXrjoxAHjnkTUtc4K0t+NRbzs3sHAllkiojYuVPkvl6Ppsr2FRBS1GAAWLVqEr7/+Gps3b8ZPP/2E9957j5XYRiQmqEJG8krkHLJERBRHQkUnlsY9+ckAk82F0nILTHY3IGs84uWqgu0wWV1nl6AQ+yIiorPQRHkaqvwf0Cu1dcr2ECJqkT116hTuuusuDB06FHfeeScAIDc3F1lZWXjqqaeQkpLSYgmKF26PB7deOxjHyq1S1OKu6Tq4PZ6mv0xERBQr6nUdDjnuqS4Y1Juf7cG4nG6Qy4F+PZKRnqwJing5OzcLn2w+FNg1uTmaCDxFREQRiqQ8bTB0JMWgRlmVDTdNy0aNxRVQB6qoscOgF85pup2GImqR/b//+z8olUpce+210mcFBQVQKpV4+OGHWywx8URQKmG1B1ZarXYPhP/P3pvHR1We/f/vmcnsmewsYUmAhECAQNhEUBYxERU1LJpExB0ErUvt02rrU5f2qz71qb/aal2qUuujUhYBUVEwiKgVRVGQxUBYE5YQss++z++PyZzMZM5AgARZ7vfr5Usyc5b7nDnnvu/rvq7rc8WJ/FiBQCAQnGe0hA7nZXWR8mJDmO0e3l5dTuGYTL7ccgi/H3ZVNlJT7yTRqObJ+WMpLcyhaEIWH23YT12T85RLMsQSnupID4BAIBBcCLS7P23p/zPSjPj9Af754Q7cXj8r1u9h3aZQzdigK3fmpGxSTNoOa2O7rKpvvvmGpUuX0rt3b+mz3r1789vf/pabbrqpwxpzPuHy+rA7PaxYvydCtdjl9QGi6LtAIBAILgyarG7G5/eibGMlhWMyWRym5j+naAgDeifSu6upQ0oynFB4SiAQCATt4lT601B/v3DNLkxGNVeP6xvR55cW5nRouke7PLJ6vZ5jx45Ffd7c3IxS2e402wsKnzcgq1rs84rYJoFAIBBcICjAqFejVAaVLBe3GRdfX7kdq9NHbmYwNO2JOWN45p5xpxwKHCvv9lS8uwKBQHAhE6s/TTFpY+bNJpm0ktjT5JEZUX3+orIKGi1uvF5/h7SxXVbo1VdfzaOPPsr69eupq6ujtraWzz//nEcffZQrr7yyQxpyvuHyeDEZ1RRfnkNxQfA/k1EdtbIhEAgEAsF5SUt+1V/+/QN9eiTGVLLcuqeWvYct0mceX4Aj9fZTEmpql/CUQCAQCE6IXH/661kjqGlw8M1Px/ipspFvdtSw94hF6qsT9HHk9kkJ7qOQ7/Prm51s21vXIZ7ZdoUW//rXv6a5uZl7770XX4tYkVKp5Prrr+fhhx8+/VachyTFa7n20iwWrtkpudPnThtCUrwGq8tLg9lFkklLgj4uQhDDbPfQZHVHfycQCAQCwTlEeH7VsnUVlBYOkC3To1WrOFJv59mFP0jj5V3ThlB1zEpivJaeacb2j4cxataKsVQgEAhOEpn+VKlS8P3O2ojUyfkzhnKk0U68TkOcWoHRoGZO0RDqm52yfX6jxcmxRjsJ+m6nnfLRLkNWo9HwzDPP8Oijj7J//37UajW9e/fGaDSe1snPZ9wev2TEQnAF4rX3tlNSmIMCWLVhPxabp1X9C6G0KBAIBILzh/D8qt0Hm1lUtos7rxvMgvd3RKgUx8UpefvjyPHy1Zbx8tW3vz/58VCmZq1AIBAIToHw/lQBB+vsUamTryzfyoM3juDFpZu44fIcLHYXH/xnP1PH9Y3q82dNGcDqrw8wPr9Xh2gXtDvBtaGhga1bt9LQ0EBNTQ2bNm3i888/5/PPPz+tBpyv2JweWXd6olHLorIKJo/MiFD/EkqLAoFAIDifaJtf1Whx4XB5efTOMREqxQZtdNpNaLwM/VuMhwKBQPDzYrZ7qG92yvbXB6qbGZ/fi3+s2EZakgGLzcObH5Wz5NMKiiZkUVqYw/0l+az++oCkYN8R2gXt8sguXbqUP/7xj3g80YOIQqGgvLz8tBtyvqHXxsm603Xals9a4sJD6l8E5OPIhdKiQCAQCM5FQvlVzy/ZgsmoZuq4vixcs4uM7vFcd2k/DtfZmTwqg5QEbczxMoQYDwUCgaADOYV0xiarG7vTI9tf+/1IObFuj4/5M4ZS02Bn7XeVrPxiL/NnDKWuyS4p2N86dXCHpH20y5B98cUXKSkp4Ze//CXx8fGnd8YLBK1GxawpAyNyZGdNGcixBntLTlDQGS6pKSoUsg+GUFoUCAQCwTlJWH6V2eHlqTe+xeXxMS6vBw0Wt5Rjdfs1gygtzJHC1YJleQajjVOSlqQ7rbqyAoFAIGhDixDf26vLGZ/fC6UScvuk0LuLAY4jJpxk0lJZY2HutCG89t72iBSRso2VjM/vhVatoqbBwaKyXVJf3rubif1HmsnqlYTX62fckG707ZVMfb31tC+lXaHFjY2N3HbbbR1mxG7dupWLLrpI+tvtdvP4448zZswYxowZw//8z/9IolIAq1ev5oorriA/P5/Zs2dz4MAB6bvq6mruvPNOhg8fzuTJk1m2bJn0XSAQ4G9/+xvjxo1j5MiRPPzww9jtdun7jRs3ct1115Gfn8+MGTPYunVrh1wfgMPlIdmkYfqkbIoLcpg+KZtkk4Zvd1RTWpiDssVwDakpCqVFgUAgEJx3tKy27z7YKC3Udk0xRGhIfPCffeg0wcnQAyXDmT4pm8VrK/jzOz9w9bi+pKcaxHgoEAgEHYTZ7uHt1eUUjslk5Rd7WVRWwdP/+o4dB5qOqyScoI8jLUnPmm8O8OCNI6QUkVCN8C+3HKK0MIe131UCoRJrO9h9sIl/fVhOs8VNRhcjCXo1SmXHFJNtlyF7ySWX8NVXX3XICT/66CPuuOOOiDDlF154gT179rBmzRpWrlzJxo0bWbBgAQC7d+/md7/7HU8//TTffvstI0eO5Be/+AV+f3DJ4Je//CVZWVls3LiRZ599lj/96U9s2bIFgMWLF7N69WqWLVvGunXrqKur45lnngGCOb/33HMPd999N9999x3FxcXMmzcPq/X0VwcANOo4Xnx3K4vKdrFkbQWLynbx4rtbuWZ8Fqs27Cc9zRhZKy9s5fp06+gJBAKBQHC2EBR98ksLtU6XLyL6qK7JybL1e8jJSOaV5cFxs64pmIe1uKyCX904QoyHAoFA0EE0Wd2ydb3/vvRH6i1u2fqwIRIMGqqOWnn9/W34/WDQB1WLe3YxMndaHqs27KeuySlt7/L4MOk1FE3M4uAxK1ant0OvpV2hxbm5uTz99NN8+umnZGZmolZHroo+9NBD7TrZc889x5dffsk999zDCy+8IH2+YsUKnnrqKZKSkgCYP38+zz33HHfddRfvv/8+EyZMYNSoUQDcf//9vPPOO2zZsoWkpCS2bdvGggUL0Gg0jBgxgmuvvZZly5aRn5/PihUrmD17Nunp6UDQ6L355pv5/e9/zyeffELfvn256qqrACgtLeXtt9/ms88+49prr23X9RwPq11e7KnyqAWLzUP3ZH0w1yd8YBZKiwKBQCA4z0gyadm2+xi/mjWC/UeaMRqiNSQsNg/NVpfsuFnX7CTVJMKKBQKBoCNIMmlj1vX+ftcxFpVVyKrFm+0eXlr2I3dcO4hGi5s4lYL01HheWb6V6no7pYUDsNgi9ZS0ahWpSTreXlMetH9SDQztm9xh19Iuj+y3337L0KFDcTgc7Ny5k23btkn/bd++vd0nmzVrFsuXL2fw4MHSZ2azmdraWrKysqTP+vXrR2VlJW63m71795KdnS19p1KpyMjIYM+ePezbt4/u3btHhDz369eP3bt3A0Tt269fPxwOB4cPH476LvT9nj172n09x8NkVEeoNULwx1QqFMHQ4g5yqQsEAoFAcDaTYIjjiov78JeFP7CorII3P/yJedPzIlJpSgpzONZolx03FQpFh6/iCwQCwYVKgj6O3D4psv1tS8CrrFp8k9VNvEFNnErJivV7eHv1Tv6y8AcKx2SSlqRj7XeVzJoyMKJvLy3ModHsYMakbExGNS8v29qhCvTt8si+9dZbHXKybt26RX0WylnV6/XSZ3q9nkAggNPpxG63o9PpIvbR6/XY7Xa0Wm3UdzqdDofDIR277XEBHA6H7HF1Ol1EDm17SE2Vzxs+ZnVFiT3NKRpCRrqJ19/bRp/0BPoO6rgViQuRLl1MP3cTzkvOlfsa6907VzhX7nN7OJ+uBc6/6+lI2vPetb1/h49ZeWX5Nmn1v7reztJPK/j9HRdR2+hAq1FxrNHOhq1HokSfSgpzeHPVDu4vGU7fXmfHmHkhPB/n+zWei9d3ro95Zzvn4jNxOiQnGbmvOJ8XWkp/hvrbjzbsl7ZxeXzYPT6yMlIAcAcUTJ/Yn78t3ozJqKZoZBYowO3xM3VcX978qBy/38/0Sdn4AwEIwKoN+7HYPEyflM3kkRks+bQCe8tY0BH3vF2GbGcSMi6dztZ46pAhajAY0Ov1uFyuiH0cDgdGoxGDwRCxX+g4BoNBOvbxjmuz2aL2DYUht5f6eit+f3QMsNXmId4QxwMlw3G4veg1cTjcHprNTsbl9UCni6O21nJS5xK00qWLSdy/TqA99/Vs6exjvXvnAufT83s+XQucvddzrrx3cvfvaJ1NMmLTknRMHpmBRq3E6/Wz9NMKquvt0iRqw7YjPFCSDwoF1XVWPmrJt7I5PGfF73K2Ph8dyfl+jSd7fefKuyc4dc73Zz4Wg1q0eZpsbow6NX/59w8R+a1atQqDWiXdG40SFIpg1OnV4/pKObZatYo7rxtM/96JdEsxcOBocPt131dJx/MHAqBoPSbQIfPNmIbsxRdfjELRvvDXr7/+ul3byZGYmEiXLl3Yt28fPXv2BGDfvn306dOHuLg4srOz2bdvn7S9z+ejqqqKrKwskpKSqKmpwWazYTQapX1DIcOhfUMKyfv27UOv19OzZ0+ys7NZsWJFRFv27dtHYWHhKV9LxHXFa6hvdlLVaMEfCKBUKEg2aUkwadh3xILV7kavVrWrbpNAIBAIBOcqSaZgnViTUc2MSdl4vH7SkvQ0WlzMm55Hdb2NZZ/tYXFZBdMnZaPVxLGobCe7DzYDwYlPWoI2eLBTqH0oEAgEAhnCtXkUMPvKXJ4P89BKavGB1u1TErQUjM5kcVlFhFfW4/UzbWI2f1sc3D891cCc6/I4dMyC1xcgu2cih+usHa5AH9OQffjhhzvsJCfiuuuu48UXX2TQoEF4vV5eeeUVpk2bBsA111xDaWkpX331FaNHj+bFF18kLS2NYcOGoVKpyM3N5dlnn+W3v/0tP/30Ex988AEvv/yydNw33niDSy65hISEBP76179yzTXXEBcXR0FBAf/7v//LypUrufrqq1m2bBm1tbVcdtllHXJN/kAAu9Mj1ckL1ZFtaHZFfNY2kVogEAgEgvMGBdQ2OiRtCAXg9wd4fnHrZGnutCHMmJTN8vV76NUtHr/fR9XRYAWBtqXoyquaoyZaYgwVCASC0ySsekqTzU2SURNpxLbgD/jp2cUo65UtLczBZFRjQk3hmEye+/cP0nc3XzWQ7ikG+vdKOG6t2pNFEQgEznj3v3HjRubPn8/mzZsBcLlcPPPMM6xZswav10tRUREPP/wwKlXQ9fzJJ5/w3HPPcfToUQYPHsz/+3//j759+wLBOrKPP/44P/zwAwkJCdxzzz1cf/31APj9fl588UWWLl2Kw+Fg0qRJ/OEPf5BCjzdt2sRTTz3FgQMH6Nu3L4899hj5+fkndS2xQj0ONTp46p/fRiiCadUqpk/KZlHZrojPnpw3NqjIKAbidnOhhoF0NiK0+MxwPj2/59O1wNl7PefKe9f2/pkdHh5+aQMmo5p7Zgyj4mCTtJgbQqtW8UDJcGqb7PTrmci+w82kJek5WGMht08KvbsYwN96rLb7PnPPuFa1/07mbH0+OpLz/RpFaLGgLef7M9+R1FvdbN9fj8vtl+3L7y/JB5AWK8O/KynMYUT/NBL06g6bb/4sObJjxoyRjFgArVbLY489xmOPPSa7/RVXXMEVV1wh+116ejqvvvqq7HdKpZL77ruP++67T/b7UaNGRYUXdxR2p1dW1trfZt0gJHXdu6tJrCoLBAKB4LwiWEPWhwk1DrcXfyAgOzZW1ZjplmKgttGOzenFdtTCkrUVEYZq6Fht922yuc+YISsQCAQXMjanh1Vf7eemKbmy/fHBGgv+gHxpn+4pBqxOT4f21z+72NP5SrJJE1UnT6tWYdTFUXx5jlRk+MvNh/D74fklW4RnViAQCATnFUkmLempBgrHZHKs0Y5SoYgYG9OSdBSMzqRLkp6aBgfZPRM51uiUPE/hhmoo1zZ6XA3md4mxUyAQCDqXpHgtFpuHRotDtj/2+0GvU1FaOEBy3q3bVIXF5qGqxkrPLkZ6pBg6rD3tqiMrOHmUCgU3XxVZS+mu6UNIMGpZ+cVelqytYOXne5lxWX82V9RIntnyqmbJyBUIBAKB4FwmQR/H/BlDWVxWwaqv9pNs0lBamBMUcErSMXVcX1as38MLS7ewYv0eLA43WT0T0GmVpCXp0KpVJBk10rHuL86Pqj/7l3//IMZOgUAgOAOE+uGyjVWUtPTl0Nofb66oQalQsGL9HsnWmTquL7dOzWXtd5X8femPHVpHVhiynUSz1YVeFyy/c19xPg+UDCfZpOOV5Vul1QuXx8frK7czPKebtIrRtviwQCAQCATnLAEItIQT1zU5WbpuNwAP3zKKe2YOk2rGQnBMfGX5NnwBcHsCzJyUza9njWhVuGwRI3ly3lhKC3MompDFRxv2U11vF2OnQCAQdCSKoC5BVa0Ns9MbsVCoiVMycURvtHFKHrl9NMUFOfz6phGolAqmTcxm4ZpdEf36orIKHC4vdU3O4FhgdsU46cnT7tDihoYGdu7ciccTPVBMnDixwxp0vpAQr6W20UFto1Mqv9MjzSAbM65UIhUhFvk+AoFAIDifMOrUUghaXZOTNz8q5/ZrBpFs0sqOiW63FwCdVk1SqOxOiADYHB4WlVVE7SfGToFAIOgAFLEV4q1OL3uPmIlTKUhO0KFSKvhy8yG6JulZuGYXRROzZPv1kESQVq1Cp+24zNZ2HWnp0qX88Y9/lDViFQoF5eXlHdag8wWP14fbG4gotfOrWSNk48l7dzPxxoc7qGtyRoRRCQQCgUBwruNyeykpzIko05Bg1KJRq2THRJNRw4p3t0rb3nvDMAb3SZJKNsTKlRVjp0AgEByHdtbhNts9khELQUP0+SVb+PO9l7Cv2hJh29w9cyh3zxzKU298J20v1z/3751EaeEAEo3q4Hk7iHaFFr/44ouUlJSwadMmdu7cGfGfMGLlCQQULFyzM+Ih+NeHO7h75tCIePL5M/J4++NyyYjt6ELBAoFAIBD8nMQbNOw6UM+jd47hvhvy+e/bLyItUUucUsHcaUMixsQ5RUN4dcW2iLHz70t/5GCtXQptk8uVFWOnQCAQHIcWL+vDL23giQUbefjFr2JqC4QU4tOSdBRfnkNxQQ5FE7OwOr28vCwyRfLlZVvx+gKUXpFDWpKOdZuic2fvvG4w+440s2L9HvQ6NfEdaMi260iNjY3cdtttxMfHd9iJz3ccTk+Ua7263k68Qc30Sdn065lA10QdCUY1fbuPPG7xYYFAIBAIzlUSjHFcOa4v2/fW4Q/Au+sqmDm5P8vW7eaKMZlMn5QdVLcMgNXhprreHrG/y+Oj/EADiQZ1MHS4JVf2mXvGibFTIBAI2kEsL6tcHe5wtfnwSJrM7ibZsOGKqkZAwdXj+vLRhv18tGE/0ydlk9HdRKPZQYpJh0qppGhiFovLdtFn9ki6pHbMdbXLkL3kkkv46quvKCkp6ZizXgDodWrSUw2Mz+8VUWpHq1bRNVlPSqIm+OD4IUGvbn2IxEAsEAgEgvMFBezY38Tfl/4oTYZKCnNYtm434/N74XD7WLK2Nd+1uCAnZkmHiBzYQIyxs52hcwKBQHAhccI63KG+0+ZGq4njFzcM4/8t+DbC8D1YY43ZP6MIsLisgqIJWaz8Yi+piTo+/76K0YPS+fM730v9/53XDcbh8XbYdbXLkM3NzeXpp5/m008/JTMzE7U60nJ/6KGHOqxB5wtajZKZl/XntZXbpR9vbtEQdFoVG7cfoXfXnJ+nYWKQFwgEAsEZwmz3SEYsBCdDoclOaJE3fGK0blMVpYU5kppxKAXHbHOTYtIefww7jkCJGOcEAsGFTEhbwGRUM3lkBihAr1VhMmg40mCn0eqOWHC887rBmIxqXE2tRuva7yq55/qhvBSmYVBSmEPZxkrG5/fC5fGR0T2eB0qGEyDAtEn9eeK1byL6/wXv7+B3t46WaoWfLu0yZL/99luGDh2Kw+Fg586dHXLi8x2nyycZsRD88V5buZ3f33ER44f3xhsIBDOU/WewUWKQFwgEAsEZpMkm7wXQapS43H7WfV8VIQRlsXlISdDyq1kjcLi8pCbqUCggEACLw0tNg4NnF/4gO4adTOicQCAQXEgk6OP49awRHKq1RiwUUgj+QIAla3dHGZzTJ2WzqGyXdAyLzUPXFD2P3Daa8gMN+P1QtrGS6ZOysTk93H7NoBb7J2gQlxbmyPb/Oysb6J5qRNMBtb/bZci+9dZbp3+mCwyHyyv741nsHp5953tplXlYVsoZM2bFIC8QCASCM0l46Z0QWrWKnIwUFq7+ickjMwgEAvz+jouw2N1UHbXy1uqdWGwe5hQNodnq4oUlrV6CWVMGSl6CtmPYCUPnBAKB4HykPdGWAeiSpJMWAqG1xutd0/Jk+85uKQap/05PNXDr1MH8tK+BQX1TSU/Ro9bE0a/nYN5ctYPqejulhQMiasj6A/IKxn4/NFgcdE/Qnfaln1Qd2f379+P3B62uQCCA2+1mx44dzJs377Qbcr4Rb5AfvDVxQaHoUOH3J+ePJfUMlQwQg7xAIBAIziRypXdKCnOoa7Jx2agMFry/Q/q8tDCH73celcLe6pud6LWqiEnXwjU7KS7oj8vtl0KTrU4PCXq1KMsjEAguPE4i2jKWHaDXyZdCazA7KJqQhVEfLJn23L9bo2HunjmUJJOWP7y2EZNRTfHlOXRJ0lM0MYt1m6qoa3JKCsZt+/+yjZVMHtWbjggHbZchu2zZMp544gk8Hg8KhYJAS1VbhULBgAEDhCErg6YlJ7ZtjmycqtWP7vL4qGlwkBqvOb3fsp15r2KQFwgEAsGZJN6goWxjZWtObCAYinbzVYN4ZfnmCCP1k5YQtXDj9s7rBpOWpKOuySltl5Kg55XlrTlavbrGQwCMBg1zpw3htfcix11VXLsqDQoEAsE5x8mqEcvZATX1dlmD86MN+6lrclJ8eQ4L10SWRXt52VYevnkUJqOaq8f1jblv2cZK/vv2i/hpf70Uijz7ylzS04zU11tP+/rbZci+8sor3HTTTcybN4+pU6eycOFCzGYzv/3tb7nhhhtOuxHnIw6nl2Wf7Y4YvJd9tptbpg6SttGqVRw6ZqVXmuHUPaInsRITqr3XdltRtkAgEAgEnUGCPo5ZUwZGiIjMmjIAX8Af5RkYn99LMmKhNU+raEIWSz4NKhtr1SpqGuwR27y49EeKJmShVCr4/IeDUePuL27Ix5ikOqPXLRAIBGeCk4m2lLMDSgtzWLVhP2qVkt/ffhF2l5f9R8ySIQqgVCJ/DquLgtGtJXpCn4erF185tg9vffwTIwd2p08PE6NzR5Bq0qBUdkCCLO00ZKurq7nppptITk4mNzeXPXv2UFBQwH//93/z9NNPc9NNN3VIY84nHC4vHl9Y8qsCPD4/DmdQcjp8xSK7d+IpG5Mnlfcqau8JBAKB4AzTJ93Eb28dxa7KRtQt3tFEoybKM6BUgsmopmhkq6Lxuk1VKFscqiFtiXfWRIpOujw+UAQFS6rr7ZLRG8Lp6rhSDwKBQHA2cVLRljJ2gFKpoG+PBGn7l5b9SOGYTCw2j3SsAZnJsudotDjplmKQNXL7907ksTvHYLa5pbrhXZL12JyeYCRqB9EuQ9ZkMuF0Bq3yvn37snPnTgoKCujbty+HDx/usMacNygg0aRh6ri+EcpgpYU59O4WT2lhDkP6pfHXxT9gsXnYc7AZl8t3SurBJ533Gqv2nkAgEAgEHUlYxFBG93hKCwdisbt5edlWTEZ1VJmd/hnByVLbcbNX13iKC3JQKhSYDBppghVCq1YFxzKFvLBIWoL2DF+4QCAQnBlOOtoy3A5oSU0M9p8KmqwuquvtfLRhP0UTstColfRJT6DR7Izqr0POuKvH9Ynqd9NTDTRaXDz7TmtO7bzpefTsakCr6tjomHYZsuPGjeNPf/oTf/jDHxg+fDgvvvgi06dP58MPPyQ1NbVDG3Q+YLZ7CPjhk/C8IIJ/5/ZNQatWUXm0GYvNIz0IFpvnlNSDRd6rQCAQCM5GQhFDJqOay0b2xuP1c7TeJomBrNqwnwdKhlNVY8bvhyNhZSGgVVGzuKA/Kz/fG8zhWruLedPz+MeKbVETKiBqsiXSZwQCwXnNqUZbyqQm/u7W0WjVKuqanCz5tILiy3PYc6iZFev3kNE9nvtL8nG6fXRJ0vPysh+pa3Ly0YYDUfm1t04NKhmH20BLP63gFzfk0yVRDb7jN+1kaJch+8gjj/DQQw+xfv16brzxRpYuXcrll19OXFwcf/zjHzuuNecJTVY3Hp+fwjGZUcnPVrubril6zDY3RROyImLQT0U9WOS9CgQCgeBsJBQxVDouB5fbF6F4GTI+Dxw1s2RtMBS4uEC+5mCSSSeNlxabhx5djTxQkg8KBRqVkgUfbKeuyYlWrUKnUfHk/LHYHB6RPiMQCC4MTiHaUi418R8rtnLndYMlrQKlMpiyYTKqGZvXg+cXb5FK8cy8rD+vrdwuCTo9eOMIHC4P1XV26pvssjZQk8WJNk555kOLU1NTWbBggfT3G2+8wU8//URaWhrdunXrsMacLySZtDjcPtnk5yfmXsyC9zczcUTviDyeU/aiirxXgUAgEJyFhCKGuqYYpAkQRIqBKBWKiKgiuQgjvUYFClCrlNw9cyh/+/dmquvtpKcauO2awRQXDECrUVJTb2fZ+j3ce/0wMtKMwQOIsVAgEFyInKCiSZMtOjWxut6Ozenh/pJ8DtZYyOhmoqrGGiXoVF1vZ9lnu7m/JJ/Koxa0aiXVdVb69kjgleXbuL8kX7bPf+S20dSZnWfGkP38888ZN24carWazz//XHaburo6du7cycSJEzusQecDCYY46sxO2ZVlm9ODx+enRxejNGCfthdV5L0KBAKB4CwjFDHkcvtkx0OlEhKNau65YRgvLf2RdZuqokKD588YyorP91B11Mrd1w/l6x8PU11vJy1JR+GYTP6yMNLLq1YpRWqNQCA4/2hnqc3QtieqaGLUqWUXDh1OH298uINrL+3HWx+Xc/3l/dHERW6XlqTjmkv7Eq9Xk9ndRJxKyXvrdwMwt2gIR+ttsn3+gWozORnJHXpbYhqy8+bN46uvviI1NfW4dWIVCgXl5eUd2qhzHbPNQ7yh9QFJS9IxeWQGSiUYtHHMn56HTqvmv28fjcfrJ9WkFV5UgUAgEJxftEQM1VvdshOm3D4pNFlduFxefn/7aHbsbwCgpDCHHmkGEow66pod3HzVID7bVMnROjsFF2Vy9aX9aLK4qK6zYzKqcTX5Ilb8E4xqzLZ2TvgEAoHgbOckSm1C+yqauNxebp2ai9nmwR8IoFQoSDCq+ez7g0wemYHX5+e/bhrJkTobdc0O0lMNFFyUQUqCjmSTDn8gwCvLt1Jdbw+2p2QYem0cVoeH7OQk2T6/V1cTPn8HJshyHEN2586dsv8WnJgmqxuDQc3NVw1k1Vf7I+LEV6zfy5yiIaxbt5srx/WlZxc9Hn9ASoZu92qLQCAQCARnOwHQximZNWUgC9fsjFCwfGX5Vjw+PwWjM1HHqdColazasJ9kk5YpY/rw3L+/idh+4/YjaNTKiLyrWVMG8MF/9lHXFIyCCgQClFe2f8InEAgEZzvtKrUZ5rH1+gMnrGiSmKBF2+hgxfpyqa+8+aqBXDayN2+uCn7m8QYkoafrJ/fn1fe2S9vOKRrCzVfnolIqaTA7sDt9PL/4RymHtq0o3z3XD+WTb/ZTNDG7Q++NskOPJgCCeUFmqxulUsHNVw2KypV9feV2rhmfxUvvbsVs8/HP97ezdV8je49YePilDTyxYCMPv/gV5VXNkoErEAgEAsG5SIPZxX9+PMSvZo2gtDCH+0vyWfppBR6fn6vH9WXF+j38bfFmFpft5upxfZl5WQ6vrdzeRoRkG9dNyMbt8WMyqqXPF67ZxVVj+wDBFX+dNk52wme2e2TbJhAIBGc7xyu1CUge25ANsedQc7AsWRgRWjxKqG9ySYZp6HhvfbyTpHgtRROzSEsKel1dHh/Dc7pFbfv6yu0cOGLhLwt/QKVUsvyz3RE5tEs/reCxO8fwy5Lh/PqmkazesJ9B/boQr2uXPFO7iWnIDhw4kNzc3Hb9J4gkQR+HUa/mzVXlHDhqln34nC05QxVVjRRNzOblZVvZe8QsBl+BQCAQnFckmbSMHNidvyz8gUVlFVQetVBdb2fyyAxZUcQA8t6Eow12Vqzfw9Xj+pKWpJM+T4rXSTmyuyobjj/hEwgEgnOMkHBeOOGGaVuP7drvKiktzJH2CeoN5JFgDNaOPVhrZ2eMvvLAUQsrP9/L1eP6khSvprRwAD27GmW3RRH8/4L3dzA+v1fE99X1do7W23l5+VbsLg83X51L/96JNFhcmJ1e/P6OCZGJaRa/8sor0r8rKipYsGABd955J0OHDkWtVrNjxw5effVV7rzzzg5pyHlFAMz21tUTuThxnUaFVq3C7wePz4/L48MfiPxR24YBRHEyid8CgUAgEPwMJOjj6N0tPmocDE2CwgmFocUaN8MVj5d8WhFURU7WcX9JPtV1NrqnGklPNVBdb4/cVxtHVa1NjJUCgeDcoM0c/9ezRvBsmLhduEhsW49tXZOTVRv2S6rCBGDJ2gr6dh+JUqnA5vDQq0s8D80exZE6K26vn3WbqrDYPBAAk1GNSqlAp1Hz5qqdPFCSL9snh/pRl8dH91QDxQU5rNtU1VoOTRvc56V3t/LwLaN47b1tUk7tgzeOIKen6bT74piG7KRJk6R/P/fcczz11FMUFBRIn40cOZLMzEz+9Kc/cfvtt59eK85DEowatGoV6zZVRRUKnjc9D7PNxa1Tc/ly8yGG9U/j5qsGkt0riVun5uJw+aQHKqb64kkmfgsEAoFA8LMQgJ5prUr9oXHR7fGjVaswGdVMHpkBClAqFDSYHcwpGsLrK1vzse6ansdnm6qAVk9ASGCk3uzi5WVbI3K3ln+2W5owhTy1b3xYLsZKgUBw9hNjjv/ney+hweKKKrUZ8tiGG5oWm4fKaktEqU+r04PZ7uFog51kk46aWgtrv6vEYvMwp2gIJoOauiYHMyZlY7Z5WLgmmONa02hn1pQBLFyzK6oWOAT74qP1dlZ+sZeSwhzKNlYya8oAVEolxQU5ABysMTM+vxdLPg3aQ8/9+4fIHN9TpF2BypWVlfTr1y/q8/T0dI4ePXpaDThfcXu83DU9j1dXbOOjDfspKcyha7KeQ8dsLPxkJxabh7umDWHapGy27a2XHqSSwhy+3HyIqeP60qtLfEw143YlfgsEAoFA8HPS4lWwOjzcc/1QXnp3K3VNTr7bUc0t1wymdzcjxxocESV3Zk0ZwIEjTfz+jototrpJNmmxOdxMGduXZpubqqNWBvVJQalQEKdS8fziH6Jytx67cwwVBxtxOH2UbayUwt7EWCkQCM52jjfHj6iRHfLa2tw8ctvoCBXh0sIcVrUYmtBSk1urZvfB5gjnWsggfX3ldoomZLHyi72UFuZIkS5uj4+uyQbe/vgnZl81kLQkPVq1itfe2yZ5XmdNGYDfH6BoYhZuj5/50/NosLj4+9JWD/Kd1w0mPJr4hFGn7aRdhmx+fj7PPfccTz/9NCaTCYCGhgb+93//lzFjxpxWA85XjHoNtQ0Opk/Kxh8I0D3FyN8Wb45YLXn1vdaHJvQghUKmFpVV8Mw942KuGB8v8VsMzgKBQCD4WVGA1ellX7VF8pampxr4zU0jcft82J1ennj1G4oL+rNk7e6ICdvCNbv4zU0jcbl8eLx+tu2t5/udRxk5sDvXjc9Cr43D6fag1SjxtqTmhOPy+Ni2tw6NWsWXWw5ROCZT8hyEvhdjpUAgOFtp1xxfxmt77w3DSDZpiNepqW1yYrF5SEvSUTA6k97d4rG7vNKiYeiY4akaoXSPb3dUUzimD88vbj32fcXDsDm8HK2z8e2OamZflUsgEKCmwY46TikpHWvVKnJuGcUry7dFnGfB+zu4vyRfup4I8anToF2G7B//+Efmzp3LpZdeSo8ePQgEAhw+fJisrCxeffXV027E+Yjb7eO1lTukH7G4IOe4idKLyyooLczB4fKRnmbggZJ86i0uUChk83nkwgg66qEQCAQCgeCUaZlgHTxmZcX6PRFKlnsONwNIn7s88oao0+vjhZZJVHqqgRmX9Y8INZ5TNASdWsWxRrvsWOj3I9WVfWV50Asc/r0YKwUCwdlKe+b4cl7bvy/9UYo2STCo+fO9l0QsJj5QMjymLRKe83rN+CzJiA1tc+iYDYDPfzjIlWODRm7RxCyUCgVL1pZHbFtR1Sgv2Fdvk67lwRtHxIw6PRnaZchmZGSwatUqvvrqK/bs2YNCoSAnJ4exY8eiUqlOfIALEKvDE/UjHi9R2mRUY9SrI8KrSgpzeH3ldmZfmRuVz5Ogj+P+4vyo+PmYD4UQhhIIBALBGSA0wSqamBU1DoZEDduOhW3/PlRjlT4bn9+L5Z/tpmhCllSSbvlnu7m3OJ8jtVZKC3OiQpM/+M8+XB4fDpeXe4uH0Wxx43D5MNtd9EqLnbYjxkqBQNDpnKCfac8c/4Re25btjtbbKZqYhV4b1COQ62+VCkVEzmsgEIjob9dtqsIfCKDXqrh16iAOVJspmpjF5l01XD2un0w/L9+vp6fG8/DNo0hO0GJ3eam3ukk1acB/6rey3cV84uLi6NWrF263m0suuYT6+nqUSlGGNhYGbRzpqYZgXo4C9FpVVEH4O68bTNm3lQAUjM5kwfs7IlY0Qu5+2XyeAORmJPLMPeNosrmjEr8jEMJQAoFAIDhDhE+w2k5mlApFxOdygohzigazeG0FaUk6Jo/MIDPdhE6bKW2Tnmrg1qmDMVvdGPVqvD4/xQX9cXn8KBUK/P6AlLulUChoNLt4YcmPEeOfLGKsFAgEnU17+hmZOb5SqaDqWKvy+gm9tgrYV22Rol9KCwewYOX2KNGmYFkeLa+vDOa8pqca8PkDrPxir9Tfzps2FIUi6KR77t+bMRnVFIzO5NrxWRh0cVFK8V9uPsSd1w2W7JrQeTJ7GNldZebxV7+J+HxYVsopG7PtMmStVisPPvggX375JUqlkjVr1vDUU09RXV3Nq6++Srdu3U7t7OcrStDp4rh+cn+pgLBWreK+G4byh7suZktFLX5/MLSqcEwmVruHnl2OX6NJNp8nQDB8IPR5jIFWCEMJBAKB4EwRmmCt21QVNWlKNKoxGdTSwi6ASqngd7eOpsniQqeLo7rOilqlpHBMJmUbKxmSNUwKc0tL0lE4JpPn/t0qIlJamINeG8fHX++hrslJcUGOFNX0rw93cOXYPhHehbdXl/Pw7JFR458YKwUCQWfT7n4mNMc3qOUN38zEKK9taWEOtU1OEgxqzHaPFFIMwWiY6no7H/xnX2t/GIAmq4t31uzkjmsGA2DUq3n6X99J/e2VY/vw7DvfS5o+JqOaq8f1jVh8nDttCJ9+W0ledleUSujTI5G1Gw9QNCELpRIG90tl3+FmjjW4WFy2K+LaX1m+jSfnjSU1/tTSPdrlUv3Tn/6E2+3m888/R6vVAvDoo49iMBh4+umnT+nE5zP1ZjdOl08yYiH4Y72wdCtmm5tFZRUs+bSC6no7i8squK84n9omu2yx48zuJkoLczDq1NIgfLIcL/xAIBAIBIKOJBQWZ7F58PsDTJ+UTXFBDkUTsli2fg/vrNlFdu9EHr3zIm66MpeFa3bxxOvf8PLyrZitLr7dXs2tUwezuKyC8fm92H2wNd9q8sgMaQIFwbFsUVkFZpuHySMz0KpVDMxMprigPx9t2I/H58egU7Pyi70sWVvBys/3BheQnZ6odouxUiAQdDYn28/EMnzNNg+9uxoj+tdVG/bz7MIfMNs91Jld0j5pSTrJnpg8KoN131exblMVSqWCBIOWgtGZ1DTYcbh91DU5I/rb0EJkyLEm1we/9t52igsHsPKLvSwqq+C5hT8wqF8aX245hF6rxuny4vH62VXZICnIh197vdnJqdIuj+z69ev5xz/+EeF57dmzJ4899hi33nrrKZ/8fKXe7EShVMg+qB6vP+ozs82DQqGIcsPPKRrC2x+XU11vZ8X6vacc4iSEoQQCgUBwxmgJi3v2/ks5Um/nf/71XdQmNfV2Gi3OKMXiBe/v4MEbR3C41iJNnhSKsBBlBbJjqz8QoHuqgd/eMoovNh/ksx+OAFBaOEASiQptu7isgqfvHofZEZmjFmusNOrUVNUGQ/qSvf6o/UTYsUAgaC8nOyc/nuHrcPlYVLYrap96iwuNWinV6b56XF+eX7xFCgm++apcdJo4/vXhDqlcz81XDaRbih6bwxuzv9WqVTH74F2VjVH97IM3Duf197dz1dg+9Opqwuf343L7KC7IYd2mKikFJDVBd8r3s12GrN1uR6eLPonf78fvP40M3fOU1EQdLrdP9kGNU0U6wbVqFXFKBW+uKictScf0Sdlk90ok3qDmb4s2SzHnpxPidNLCUAKBQCAQnA4K2HOomZoGh7zoR5qRY4122QnRoWMWenSJl6KUVEqlJOgU2l9OrORovZ1/rNjG3GlDyMlIodnmJqO7KeocJqOag8esUtjd8UL15s/I4y///oHqejvpqQaKCwbwyvI2+4kcWoFA0E5Odk5+vAU2u0ve1vB4A1TVNFNamIPL42dxWYVsSHBI4KmuyclbH+9k+qRs1n5XyZyiIby+crt0vHA9A7fHH1MpPpyg2J4PtUpJzy4mFAQiyvmUFOZQtrGS4oIcUhNOXfCpXaHF48eP58UXX8Tr9UqfNTQ08MwzzzBu3LhTO/N5TKpJg0YTjFUPDcSh2PV4gzris/kz8ohTK0hL0mGxeeiWoqdfejxOpzcicRqCD0WdxXXyIcZhSeNPzBnDM/eMEwOvQCAQCDqNerObV5ZvY+13lZSEjYXpqQYevmUU+w43k5eVJptS4/UFaLY4mVM0hC83HyLBqGXVhv0UTQgqb84pGhI1tiYY1az7vkoKc+vRJR5/yxiXnmqIOEfB6MyI3LHwUL3wsfLJeWNZsrZCGovH5/eSjNiI/ezRYcoCgUAQi95djTx65xh+f8dFJ5yThwzf8D7v/uJ8vD4fSqWC+TOGUlo4gLQknSQkq1QERWezeyXSu1t8zJDgxWUVXDW2D2lJOoomZNElSc/kURl4fcFSPRnd4pk7Ldjf1jU5KdtYSf/eScyfkRfRnjuvG8yXWw5FtFurVtFocTKnKI+Vn+9mf7Ul6twPlA4/LaEnaKdH9tFHH+Xee+/loosuwul0cvvtt3Ps2DGys7P585//fOpnP1/xg9nqQqtRMX1SNlqNkm7JRjw+H36/n4dvGYXT7QUUrFi/m6qjVubPyKNX13hpVcKoV1NamIM/QIT7fc/BZlwu38kbou0UhhIIBAKB4HSpNwfzrFxNPj4KGaE6FckJOp75v02tapjT8/jHim0RisUKBSQadTTbnNxXMhyLzU3B6EzWfldJsknLzMtyeKA0n3i9Bo1GSV2Dg2NNrQu/Lo+P8gMNLFlbgVat4u6ZQ1nz9X7KK5vQqlUxxRVDooqh/6pqbZELyjFC6mTFGAUCgaAtMRSLEzISY+8T5oyyOj1o1XG4PF5qm128uPRHKVz41qsHkWzS8c7qn6S+rrQwhwCB44YEpyXpufbSfhGifPcVDyPJpKGmwU73VCO/vXUUDc0udFoVxxpspCXpmTc9D6NejVIBh2ut3HbN4IhQ5dLCHABsDjfXjO/HGx/+JCnRhxxyXq/vtIxYaKchm5aWxqJFi/jmm2/Yu3cvXq+XrKwsLrnkEhSKU1QgOs+JN2pY8P4OrhiTiVGn5m+LN0eoiq3asB+LzUNJYQ6Nlv28snwb0ydl07trPJo4Jc8u/CHK/V44JpOPWvYTKooCgUAgOFtJTdRJ4Wd1TU6WfFpBaeEAXn631aNZXW9n6acVPFAynANHzWjVSpRKBWarm2Xr9nDl2D784bXWMg03XzWQBKMmSrE4fDwNjZGhMDeXx8fLy7by21tHYXN40GniqG+WD3dOim8tW2F1etFo4iIWlEPbCb0JgUBwKpyyMnoAEgxqDtfZeX7Jd8dVEC4pzKG22Uldk5NFZRWUFuZQUpgTqTXQglatQq1StQo6EUy9qG10RJQsu3vmUN5dV4HH5+fqcX159h35PnhO0RD0WhUatYpX39tGwegM4lQqdFqVpEQf3tYeXYz0SDWcljF7UoVgL774Ym666SZuvfVWLr30UmHEnoArxmTi8vij6sMuanHlF03Iwu3xccc1gzEZ1fgDAZ5fsoW9R8xR7vfZV+VKcexnVEVRAWaHh6paG2an95SVkwUCgUBw4ZCaoOHhW0ZRWphDcUEOuZlJ9OkRna9aXW/H7fGx8vO9vPXxTpqtQWX/8fm9IiZXLo+Ptz7eSWK8lrum5XHL1QMxGdUsKqtg8sgMaawsGJ1JSWEO676vks4REiI51uhAqVSQmqSXwuWgNTy5psEBSth7xML3u2r5w+vfsKgsqHR89bi+bNt9jPkzhkbsd+8Nw7A6PGJ8FAgEJySWcFOd2SU/zw6bg9db3Hz4n70UTciiW4rhuOHCk0dmSH8nGLXotSrystOiQoJnTRlATaMtok2TR2awqM0xX162lTlFeRSMzpRVjZ9z3RCKJmZR3+yk2erC4/VjsXnok57IWx//RH2zk/kzh0bt+/K7W6k3n549E9MjO3bs2HYf5Ouvvz6tRpx3KKDJ7GLDtiPMvioXfyALaA0RDrnyX3p3a8SKBrSqL4bj8viorrNJ7nilQkGKSXtGrqNtCMS9NwwjOV5DvEEj1BoFAoFAEI0Cyg9Ejh3zZuShQCEvWqJXM31SNv5AgJQE3XHVicsPNLCorEKahH3wn33SxM/l8ZHRLZ4PvtwbEb725eZD+P1BL3EorPn2awZJ5ySA5FF4ct5Y9h4xs2L9nqjJ4ZPzxpLdO5m+3eNpsrlRKBS8snyrFEonhJ8EAsHxiCXctOdQM4vKdkX2I0TPwedNz8Nid2O2u6LChcPDdvukmyTtnWabi8R4DUfrbWjUKqnfUyoUqOOUBAJtPLWKUMhxZBiwy+2la7Jetl8+UG2WUjnmFA0mwaDmrmlDWPZZUGPg9ZXb+dVNI2T3rTc7T7mGLBzHkDWbzfj9foYPH05BQQHJycmnfJILDbPdQ6PFycThvXj6je+i1MEsNg9qlSpqRaO4oL+kvhiOVq2iV1dTRDhV767xnT5gyoVA/H3pj1JIgxi0BQKBQNAWubHjH8u38eubRlBSmBMRWnbndYNZ/lkFedldQQHJLRM9nUZ5XGVMl8fHwjW7eKBkODUNNul7rSaOgjF9eDUs73butCF8+m0l/Xr2x2RU42ryYXN6WbK2IqrtjVYXXZL0FE3MkhafQ+ezOT3ExSmlEMCHX9oQcY1vry7nVzeOwObwiNI8AoEgCjnF4tLCHDZsO0Lx5TmggIPHrPTuasTvD0T3oyuCaYh6rYpbp+ZitnkiSuyE962lhTkkxmsw6DQEAgHiDWqe/Oe3UX3qY3PGSKrwLo8PpUJBeqohKgz4nuuHxjTEw/vl11fu4PG5F2O2udl9sFn63OeTVzs+ndI7cBxDdsOGDaxbt45PPvmEF154gaFDh3LFFVdQWFhI165dT+uk5ztNVjdatYp/fBhdu276pGw0aiU1jbaIfULbzZoyEHVc66p16OF5c1VkeHK7S/EogpOKU6l5FysEIrRac6rlgAQCgUBw/hJr7DDbPZRtrKRoQlZwlT8An22q4toJWVQdteIPBPD4/Dx6x2gCAaKEoEKLweHHrKoxo9fGkZ5q4PrLczhab+X/PtoZMV6+9t52fnvrKKqOWpg5KRun20dm9wTuL86nyerkow0HJEHFfYfNkmckvDRF21zYtteYlqSjcEwmv//H1xEiLmKxVyA4jznZOXaYcFOTzU1cnIo3V+1gbF6PCKOxe6qBpHiNrGdUq1GycM2uFueXknnT8zjW6JAN+f3VrBH868MdFFyUQbcUo+wC3bEGu6QKjwK0aiW3XTOYv7Ro9YS2e+ndrfz6ppFSaZ7j9cvNFhc9usSTlqST+s+aenuEwRyq3HI6pXfgOIZsYmIi06dPZ/r06djtdtavX09ZWRl/+ctfyMnJYcqUKRQWFtKzZ89TP/t5SpJJi8vnlx3IuyTpeXddBRNH9I74TqtW0b93Ms8v2QxA0YQslErI7ZPCoRqLbCmeKKXEti+UIY7yymh1tPYOrLFWXkL7CrVGgUAgELQlZt3DlhDikG6EVh30KjRZXFIob3qqgZmX9ee1ldsxGYPbZ3Q3QQDe+vgnaQIWOqbfDwvX7OKR20az51AT3VNjKBJbXKz++gA3XTkQp9vBM29tktowa8oAVn99gCvGZLKqZUIWWnwOj0BKMLSOdW2vUS5XTSz2CgTnMTEUiE84xw6rImJ2ehk5sLtU57VoZNCYPFpvp0eaUdYzeud1QV0dl8fPl5sP8csbR2DQxcn2e0frrVH7t12g65pswGLzsOTT1giVm68aKHu8vYebyO6ZKIUnZ3Y38fbH5VH9skIBf1n4Q4RYbahv/f0dF2FzeOiSbCDZGHfaqsXtEnsyGAxcffXVPPfcc3z99dfcdddd7Nq1i6KiIq6//vrTa8F5SKh+k1x9vNomB1eO7UOCMbKebElhDmari7omp6TwuKisggazk9RkQ7AQ++VB0YzighzSUw2kmLTUW91UHDFTb3Oz94iFh1/awN+X/cg3O2qoOGTm4DErJmNwEA0NrO2teSdXuypcROO01BqFiJRAIBCcl8iNHaWFOby+chsr1u/hwRtHSGHGPn+AN1eVS5Om8fm9eK1ltT+ourmLD77Ygz/g54oxmVFCJaHaseUHGnjr450crLHKjr3JCTrunjmUQ8dsUUImC9fsYv7MoaxqmdyFcHl89O2ZIFvnse01KpWxS/MIBILzj1gKxCdTVzpBH0fvbvFSaPDKL/ayZG0FK9bv4Wh9sKRN2wWyBe/voGB0JkZdHDMv689j//iafUfMsv1eWpJBVgyqaEIWpYUDuK84n7omO3e3EbHr1dUkezy/H2qbHXRPNbDy87288eGOqH451K+bjOoosVqLzYNJF0dOjwRyMpJP24iFdpbfCWfPnj1s27aNn376CYfDgV6vP/1WnGc0mF3o9HFRLvQ5RYNJTzPy10WtXteM7iaqjloo21jJ/SXDmXvdYJrtHtZtqsJi86DXqtm04whzp+VRUdWIPxAUrigpGMChOht/WxQZZ5/RPT4qRCF89eWkvKhtQiBCwhahVRxphfpkw6ZOdRVLIBAIBGc/YWNHrdnF3kPNEUbic//+gVuuHohOo0KvVUeEz3VLMUSFv+Vld+Wd1Tu5YkwmD98yiiaLi0aLkw/+s08aj9RxwXX5td9VRo29s6YMpNnipKkl/1XO4LQ5vFhskRNQrVpFerI+OF62HZvajI8mgwZQSGKNoTFclOYRCM5xYoQPx0qhkJ1jxwpBDkDPNKOsGvCL725j/oyhsufo1dVIYrxWynldt6lKypkNCTlldI/H7ZGPDk0yafnoq/2SUN19xcMoKczB6Q7myHq8Xu6eOZSXl22NsCXKNlZyx7WD8fj8FE3Iok8PE7WNDooL+uPy+CEAZRsrufmqQUwd15c3PyrnaL1N6qfvuX4ovgDsP2alxuzCqIsjXqs6rbn/CQ3ZQCDAd999R1lZGZ9++im1tbWMHTuW2bNnc/nll5OSknLqZw9jyZIl/OEPf0Cjae30H3vsMaZOncpTTz3F6tWrAZg2bRoPPfQQKlXQ+l+9ejV/+ctfOHbsGEOGDOHJJ5+kT58+AFRXV/P73/+eH374geTkZH7xi18wc+ZM6bqef/55Fi9ejMvloqCggMcffxyDwXDa15Jk0mJ1uElPM/BAyXAcbi96TRxKZYCDNRZpcF75xV4euW00K7/YS0lhDs8v3syVY/tIhmqCIQ6b083grK6S0mLoYVq8dhcTR/SOioe/vySf5xdvkV19WfJpxcl7UcNCIFDAw7NH0mRzk2TUnJoRy2nU0RIIBALBOcPhOjsHj1lYVBYpquTy+EhJ1JMUr2Xf4WbZ8LnwBVilMlim582PyklL0nH1uL4sWbs7YhE3RF2Tk1Ub9vNAST4uj59Gi5NeXeN5feU2SgtzUMdF1oYNTbA0cUp+f8dF1DY60GlV1DY6SEnQUmd2olQp5SdbofHRoKa8qlkKjw61qVeX+FMeJwUCwVnAcRwvsVIooubYLcd4e3U54/N7SWmDvbsYWozZABnd4mXzV7UxRO+arS6qaqwRn3u8/og+6K7peThdXtn9Dx+zMT6/F0s+Dfa5LywJCrmu+76KqeP64vcHaLa6ub8kH5fbh8mgYflnFRSOyUSpVIBPwcov9lJ6RQ7xejWvr9wR0Xe/9fFPTJ+UTXqqgYF9UvjdraM5XGvF5vDwyMsbovrJrB6mU+4nYxqyn376KWvXruWzzz7D7XYzYcIE/uu//ouJEycSHx9/amc7Dtu3b2fOnDk8+OCDEZ//f//f/8eePXtYs2YNTqeT+fPns2DBAu666y52797N7373O1577TWGDh3Kiy++yC9+8Qs++OADlEolv/zlLxk2bBgvv/wy27dvZ968eWRlZZGfn8/ixYtZvXo1y5Ytw2Aw8Ktf/YpnnnmGP/zhD6d9LQnGONw+PzWHLSxcszNiVbhnmhFodb87XB6KJmRJA3Yogfv1ldt5Yu5FJMTr+HF3bcQDHjJM5cr0OF2+mAJNoYdGqTzFON5wo7bl71PhpFaxTobTELa64Gm5d0f31GLQxol7JxAITovQgmXRxCzZidT+w2ZWfrGXX5YOY+60PGmxFqLzU/v2SJSOUdfk5KMN+5k+KZsuSXpqWoRKJo/KoH/vRKZNzMbl9pGcqEOhAL8/gNnm4ooxmTSYXSwqixSPKttYSekVA6hvdvLPD3ZETLDsTh8NZhd7DplbKwUc51rbLiw/c8840Y8KBOcwx3W8GNT8etYI9h4xS17QrB4JUYtXZruHt1eXRy3W/erG4Xh9gQgjuW3+ak29nVlTBkg1tUN9k0KhIDWh1ZCePDIjqu72qyu28dDNo5hTNFgyNNNTDdw6dTCHjlno0b1VjMnl8aHXqbh6XF+USgX1za6oqJbbrh2MxebGbPewpGwXJYU5fPJNJXOm5fFAyXCqasz4/UjtX/D+Dh6aPRKH08vRehtOl09WkCrYl+tOef4f05D9xS9+gVqt5qKLLuLSSy9Fo9HQ1NTEypUro7a96aabTunk4ezYsYO5c+dGfb5ixQqeeuopkpKSAJg/fz7PPfccd911F++//z4TJkxg1KhRANx///288847bNmyhaSkJLZt28aCBQvQaDSMGDGCa6+9lmXLlpGfn8+KFSuYPXs26enpAPzyl7/k5ptv5ve//z1q9el5BevNblxun2TEQigPZyf/fcdFFBfkSO73W6cOikiwdnl8JMXryOgez5E6R0QJgbYr1BndEqSHEIKTA70uTnbSMDAzGW1Bf1Zt2E/fHgnEa086qrzDaPcq1skgwpVPHXHvBAJBB1Nndkkhb21L7oTGMpfHx7FGJ8mmgOziZkb3eKZPyubddRURx1CrlPRJT+DQMQsoQK1SkhSv4YoxfaSIJK1axdyiIazZeICRA7uT0S2ev8lEKz02ZwwOp5eX3t0aIbbi8vhRKr2kJempbbLz/JIt/PneS/DUWqltcuJ0eUlL1JGgj+u8xVmBQPCzctx326DG3cYLem/xMEmRXTqGzc34/F5RRtz+aotsverQAt6coiEsXruLGyb3l6I7dRoV732+h6qjVh6bM0ZSENaolbLt3H2wEa0mWDtWq1Fi1KkjSnmGlwVNTzXy3L83y0Z2LlyzM9gGl5faJgcen5+PNuxn8sgM6hptGPVa2cgbi8NDsknLB//Zx+RRGbJt9AcCp9VXxrRmevToAcD+/fvZv39/rM1QKBSnbch6PB4qKipYvnw5Tz75JHq9nhtuuIGSkhJqa2vJysqStu3Xrx+VlZW43W727t1Lbm6u9J1KpSIjI4M9e/aQkpJC9+7dI7zH/fr148MPPwRg7969ZGdnR3zncDg4fPiwFJp8qjSYXSiURAyKEAxjcriCtetCqyI+v59brh4YIf+v06qYPrE/f1u8OeYD3ic9kTdX7WDquL5SIfe7Zw6ld1ejbFz7a+9tY3x+Lylnx+z4+TyX4XW0TEY1BaMz6d0tHhSKqA6gvYhw5VNH3DuBQHDatInqMLQsqoY8qEUTsuieauBovV1akAVIS9JLAk1tFzfj9RoWlf0AQKPFRdGELJITNHRPNbKrslUz4oaCHLqnGvjDaxsj8m3rmh3MvjKXt1eXk9G9v/yE1OIiJVHHfcVD0WvU7D7UhD8An/9wkOKCHBJNGhLjNZiMag7W2jjWYI/wVNxfnE/vbvEdvzgrEAh+dmI5XhQKhezc6e9LfuSR20bTO60lbFgRtJPkxOD8gVgLeCaKC/qj16i49tK+aNRxvPXxT1JY8szJOSxbV0GjxYXV4aZoQhb9eyfFrO+66qv9XHtpPxwuH4s+2RFlV0yflI22xRA+XmRnbZMNmyMY7vzLkhE4PV6aLW6abU56d0uQPX9akh6fzyfpD8hto9OcXl8Z05Bdt27dKR/0ZGloaGDo0KHMmDGDv//97+zZs4d77rkHjyd44eGCUnq9nkAggNPpxG63o9NFFtLV6/XY7Xa0Wm3UdzqdDofDAYDdbo86LiB9fzokGNWoVEpmTsqmOSzxeuakbJJNWm6dmiu7KlK2sZIrxmRS1+QgNVFekEKphPkz8lj77QGq64MD6n/fPhq9Jk6qxZSWoI2o0xfuxb2/OJ/aJifPLvwhYiCWvG/tDc89nTDeFpGMP997CfuqLRFG96l6AsWK+Kkj7p1AIDgtZKI6fnXjcGZNGcjCNTupa3Ky8ou9/GrWCL7cciiiJqLH62ftd5VRXtu7Zw5FpYTSwgFSGs3mXTVcMaYPf3ozUjNi6doK5hblSUbs1eP6RnmALTaX7CSqstrC84u3MG96Hqv+U0F5ZZO0z5K1wVJ53VMN3DC5PwoUUYrHoUW/0OJs+Fgm8mMFgnObBH0c994wjL8v/TGiP3ll+VbuvG6I7Nyp/EADiYaW8jp2D68s38qt1wyO6n+UCoVsn3TomBWAqhoreq0Ks80VVbZsTtEQuiTrOFRjZeUXe9HrVFF96J3XDWbF+j0AqOOUmAwaecO5WzwrPt/D7Ctzg/m3NmdUu9JTDSTFa3G4HLg8frbvqyfRqGbZ+j1YbB7mTc/jF9cP5cV3t0b04UqFnwM1Vm6dmssHX+6LamNpYQ5dU/QkGNWnrGD888WXhtGtWzfeeecd6e9BgwZx8803S2HMTmerHH7I0DQYDOj1elwuV8SxHA4HRqMRg8EQsV/oOCExJ71eH/O4J0NqanS+cKPDg9cfwOn2RYk/BACH08eiT6LlsB8oGU4AP4nxWhxO+QTt3D4pvLJ8K4VjMmm2uRme0w2H20fXZCOpyUaUSgXugIKVX3wXte/oQd2J16u5//9bHzUQ/+1Xk0hPM/L1tuoIA/vBG0cwNi89Iq/W7w9EbXfP9UMZmJlC91TjcXNw/f4A1XU2GpodaDVxLC7bJduWnl1PnIfdpYtJ+rc7EOwQTEa1NElSKhSkp8XTpUvH53SfKaT7ZXaQkqAnPe349/dUCN27ts9L99Sz+97JvXvnEuHP77nO+XQtcP5dT0ci994dPmaN8kz85d+beWzOGKneoFKhIN4QR3HBAF5Z3jrZ+e0to7DYPJLXVqNW0iMtHqNeRb3ZFTGGzikawvLPdstGKnn9frRqlWw918VlFcyaMkA2WikU4vyPFdu4vySf8srvI47rDwR4edlWHr5lFBVVjbITQbvHx6X5PenXK5H6Zid2p4e0JD3JSUbi4tpV5fCs43x/B87F6zvXx7yznVjPRNeWaJC2ziGjQR3TC2r3+MjKSOHonlqq6+0sW1fBndcNjjBG+6SbpNDgtn3STVNy+WjDPq4Y04f6ZmdU/uvrK7dTUphDsklDaWEOLrefz384GNHOzzZVUVyQQ02Dgw++3MfNV+XKtreqxsq4vB4crbdJTrW504bw2nvbw/rePKqOmqNsmpAy8T9WbKOkMIf7S/KpPGqBAGjUSh55+Rup736gdDgWm4sHSoZzpM6K2+OXIkrbO++X46wwZHft2kVZWRn33nuv9JnL5aJLly40NDSwb98+evbsCcC+ffvo06cPcXFxZGdns2/fPmkfn89HVVUVWVlZJCUlUVNTg81mw2g0SvuGwolD+1500UXSd3q9XjpPe6mvt+L3Ry65WmxuFEoFn2ysbH2ogE82VtKvVyLdUw2ygyEEVcLe/ngnJQX9mTc9j3+E5cjOKRrC26vLqa63U7axMmqFJuTN1LR4XtuuDicb4qg6ZpU999F6K06nWzJOQ6FZB6qbSU3QkmrSSCvLZodH2i60/0vvbmX6pOxWQYwYXty2q/bheb/hbdEojr+M3aWLidpai/S3Rgm/njWCQ7XWiLCv3l3jUSsCHbsqfqZEpc5Q7mqs50WjDETc4xBnywRA7t070+gN2hPXQA6Awx654Nb2+T2XOZ+uBc7e6zmb37ujdTbZccXj8XHxoK6S0j0gGbGhbV59b5tkYIYUM/+2eLOURtN28hZS4A8/j1IJem0cd88cytF6W8QYFno/u6Xosdg9PHzzKBxuL5XVlqixx+n2RRy3e6qBBIOa4oL+NFlcZHQ3kZ5qwOPzRyyYauNUbN5VQyAAr763TSppMX9GHsOyUjqkVuKZ5Gx9BzqKk72+s/ndE3QMx3smtHEqVn6xV3KUTB6VEVyY08l7a8s2VjJuSDdqay0YtMEUi90Hm2m0BBfHlEoYOaArXp8vmErYstgXMpItNg9Wh5sJw3sF+7yJWfK5pf4APn8ApVLBwMwkuqUYIhYJg+V0vPTuFk/hmEze+rhc1mtb9m0lVruHu2cOo9Hi5BfXD4OAn9/dNpqf9jeQ2d0EBHB5/BRNDKZ6rttUJVVKCbXH6fZRedTCkrXBCinFBf2l715fuZ1HbhuN2xtApVKwcUc1uw82S9cTa97fnnfvrDBkjUYjr776Kunp6UyfPp3t27fz9ttv8+ijj7Jt2zZefPFFBg0ahNfr5ZVXXmHatGkAXHPNNZSWlvLVV18xevRoXnzxRdLS0hg2bBgqlYrc3FyeffZZfvvb3/LTTz/xwQcf8PLLLwNw3XXX8cYbb3DJJZeQkJDAX//6V6655hri4k7/liTFa2m0umTLCfj9ARJjxNwHgDdXlVM0IYuXl2/njmsHcX9JvrSa/d7ne6Qffnx+L8mIhei8xvD6duGlco4ntBQKMW0bmrVi/d4IAypWKKo/EDhubqVcPkF4aaDwtpw0AeiSpJNCpuXuSYdwBoWRzljualg9RLvHh0GtEiFx7UUBf3jt6+Nu8vjcsWeoMQLBz0OSSUt6qoHx+b0kw/HLzYeCY0+Y0n1VbbTBW11vx6iL44GS4eh1KilsOCi4JJ9eE07Qs5HIwtXlzLwsh0F9U2TL+dx9/VCWf7aH6no7D908KsJIDh3HqFNH/O32+jh4zBVR6mf+jGBJi3+tKpc+S0vSoVAEiNdruenKXOLiFCxbt5tXlm/jyXljSY3XHH8BNPSdzY1Rp8br8xGnUmFzekiK15JgiMNsE4r8J+RCrVzQkdd9pu9hZ5yvg4+ZoI/jd7eMwunxc6C6Wcqh7901nsF9k3jkttGUH2jA7w+KuM6+MleaQ4VrwoRSLO4vzic1QUO92Y3d5UOrVkYpBPfsEo/D5ZX6KLl5e//eSZQfaECjVnKkzobH65eM4v69Ejl4zIrN4aVPeqIk3hSKfFEqIatncJupl/TDqFfz8rIfpUW4/7ppBPsOm9m2+xiD+iTTaHFHeGNDTiinq7V9Oo0Kpyt0DQP4z4+HKb48RxoTDh2z8NrKHeRmJnHr1MGYrS6SE3R8s+1w5+TInkl69erFSy+9xF/+8heefPJJqebrVVddxeTJk3nmmWe47rrr8Hq9FBUVcddddwEwYMAAnnnmGZ588kmOHj3K4MGDefnll6Uasy+88AKPP/64ZKw+/PDDksLxjTfeSENDAzfddBMOh4NJkybxyCOPdMj1JBjicHmjZaYXl1Xwx3kX02xxRrnt503PC5bimZhFn3QTJqOaerOLl5dvo7ggh5WfRw66conjEXmNMUrlhL9UUbk8LfH6cqFZ4QZULGM4lCweK7cylgEcmpicbl7Rmcj1PJPCSGc0d7XlecnKSAmuSl4Ig79AIOgQEkxx3HB5TkQE0bzpeSQkqMHTul2ssePgMSsfbdjP7Ctzo75r+3d4KZ6QR2HttwcYPTidP7/zPSajmjnX5UVFDb387laKC/rz1sc7WbF+N3dNG8KrYWNwaWEOzVYXaUk6LDaPVC7vyTe+izjOK8u3MX1SdsRnr723nQdvHMFfwrQn5hQN4ZONB6g3O0k1aWIvgBK5OJqeamDGZf0jwg3nz8hjydoKaZIpVOVluFDV9zvyus/0PeyM83XSNVgcnijP69ury3l49kh6pxlINKhpsrkZN6Rb5Bw2zFEgOZaMasorg20svSJYA/v+knycbh92pwdNnJJn/m+TVLpMTvl9btEQXlm+VeoTSgtz2LDtCGPzelC2sRKjLk7a/uarBkr9VV2TkyWfVpCWpCMlQV5Nvq7Jyb7Dzew52EjBmD7srGySVVeePimbJqtTMr779TCx53Azv7ttNB9/tY+xeT0ijj9/Rh6jBnZhzJAe/L8FG487VpwMZ4UhC3DppZdy6aWXRn2u1Wp57LHHeOyxx2T3u+KKK7jiiitkv0tPT+fVV1+V/U6pVHLfffdx3333nXqjY2B1eDHb5I0Qs82DShXHp9/ulR5cnUbFh1/uZVhON8klH17vVe4h7hM2mIdolzdT7qVqs3J08JjluAaUUgGlhTkRK0ihgvTHa0OsSczIAV0ZmJkc0ZZToVPK+rThTBqXZ+J6BAKB4HSpqXdJRiwE+8R/rNjGE3MvpluCVtrueGPH5JEZHG2ZlLk88mV7Zk0ZQEOzgwdK8lEqFaiUCnwBuHx0JgGg9IocHK5geopcP50UryMtScfwnG4kJegiQvpCuVr3l+RzsMaK3+9nx/6GmNFHbT87UN0cFQb9QMlwUhN0x10ABSK+G5/fSzJiQ9u+snybFLnUmYun5zIXqvp+R173mb6HnXG+0z5mize3zuxCr43DZFDj9/klIzZ0zFA0odUZtL5C3l+lAqqO2SI9wW0cS2abR6raYdSpo0ScQjoAm3fV8OCNIzhca6Fnl3h+c9MI3L4AOo2K11pSGELtWdTSno827Of2awa3KZ/jj5pLFozOjIrqDF3Tuu+r6NMjkT7pCRyothCnUsj2g726xZNgUPPgrBFU11lxefy43D7sTi/XTczmj69vjOrHHrltNE//K3JxUG6sOBnOGkP2fMLs8LZ4KKONEI1aSX2zk+sLBvB6WC5NSWEOihb3e+ihfOjmkWjVwfIFZRsr+dWsEfgDfhKNOvYfaeahm0fx+srwfJyhKJUKqmpt7QunCIB00paX16iPY3hOFz7/4ZBsmBgEywutaglPCCWVr9qwn4LRGcf1qMbyBqeaNMHQq1CbTpHjeps7aDXxTBqXZ+J6BAKB4HRpMDtlJzqNFmfE5OR4YwcKItSLQ+NeKKf1YI2VD/6zL2hslubj9fmpaXBJ9dpD4+iXmw/JKoRq1Sq6JOu549ohQACz1c2isl1R1xLK8SouaF2cbXscZWjcDPvM3yYP1uXxESBAaqKG8spm2ftzuCWsOuK7GCHV4bn4nRaZcw5zoarvd+R1n+l72BnnO61jynhzSwtz6J5qlD2mUa+i0eLm//3zu4jtV23Yj1qlZP6MoQQCgWB6QNh8PNTGopFZUcZkSAdg3fdVjM3rIVvd5IaCHDw+f1R7NGolk0dmRJXPCV8UDJW87NU1XvaaDHoVpQUDeC4suuTBWSNk+8FjDXYcTjWL11ZgsXmYUzSEtd9VYbF5mD8jD5NRjaspUnfAbJf/fdqOFSeDMGQ7AZfbi8mokV151mvjWNoi6V84JlNy4y8OS5qG4A/r9gTj3Xt3i6dnmoEACrZU1PLXf7e+ZHdeNxib04PfH8Dp8vCbv391/HAKJew40BQRIvHrWSNwe/3Sy5ubmRQVJjZ/Rp4kj51k0mKxeSIEN0Ke1XBRqCiO4w3uEDr7+Jxh4/IMXI9AIBCcLqmJOtmJTrIpsgRerLEjt08KNqcXi83D19uOBKOVXD70ujiUSvjwy70UTexPwegM/H6oafFEyKXvFE3I4s0Pd0Spgc6bnsf+I82SMfyrGJOzfj0SuPmqgWT3SuLQMQu/vWVUhIDTrCkDUMcpI8KbQ16UcIEppUJBl2Q99c3umHVyD9ZYGTmgi+x3bf8O7/dFZE40F2oEU0de95m+h51xvtM5ppw3d1FZBQ+UDpc9ZnavZP64YGPU9sUF/VEoFJLnse18PNTG4+kAXDW2T8z+7R8t6Q3hC3FatYpeXU089+8fpJDkkDiVXqciPS2eh28Zhdnu5uV3t0rbRPd/STz1xrcR533zwx3cff1QXn43WvHdYvNI0SLhYnyvxGhjgkHTrrHiZDg3deHPchKMGsxWN1pNUI2suCAnWHBYo6LJHBSBMumD8euTR2YAIYVHP8UFORQX5JCeasCgj+PiQV3J7Z1Igk6NzemNqmG34P0dOJw+XG6/JD4R+u75JVsw28OCzhVwsNYeFSKx94g54uXNy+4aFSb2yvJtmFsKGoeMOa06mIsc7lk9oZHVEmKRkWaUcnk7lDNw/JBx+cScMTxzz7jOzcHp7OsRHBe9QYveGPs/RRvPjEBwIdI1Wcu86XkRY8K86Xl0S4lcYZcbO+69YRhOl4faRju/uH4o4/J68PziLbywdAt/W7SZumYnFw1O581VO4JeTwV0TzWQbNLG9FxW19sx6OL4zeyR/GrWCKZPymbhJztZuGYXV4/ri8mo5l8txm54W+YWDeHNVT/x1sc7efpf36GOU3Gs0cY91w/jVzcO579vH81/fjzM8vV7mD4pWzq+UgnTJmYzdVxfVn6xlyVrK1ixfg+Hj1mxODzEqRQ8OGsE6akG6VxB70UlLo834p58uflQVLvmz8jjyy2HpL+lxVOBRKx5yfl+nzryus/0PeyM853UMRXBKhxVtTYOH7PSFCMlsKbBxt0zh0b3W+5WMaa0JB3Fl+dQNDGLvj0SKdtYGXM+nqCP41c3DqdP9wRuvyaX38weyewrB0pz//69k0lJ0Ee1xWRUk5luomhiFgMykiL6k3nT83hzVdC7u25TFbdOzWXquL58ueUQgQA8t/AHdh5olIzRkJc2/JruuX4o+480RZ23ut6Oze7m4VtGUVyQI4Uw1zU5I6JF2v67V1djxPHvnjkUgz6OeTNkxorUU/PGgvDIdgp2pweDPo4fNx7j6kv6Yba7STBo+OirfVx9ST8Wl1XwyG2jI350rVrF0Qa7lCN71/Q8lIDHHwAlmK0eLDFesoiHqM134eEUZruH8gPROT/+QKBdoU3hQlIXtKcwhpCW4DzkBKrET9w17gw2RiA4S/FCfk4KT8y9mEaLk2STLmjEettsJzN2uP0BduytlzwZIYVgaBVS+s1NI6JUiH97y6iYnkutWkWz1UXPLvEcOWRFq1Fx1dg+uDx+3B6/VPvQ6nDzQEk+DlewDMbbH5dH5J0teH8HD944gif/+a103llTBrD66wNo1Ere/ric6ZOyWbF+D/dcP0zaLrR/uFciZJA63V6arR6S4jVYbB6USiW9u8VL98SoU+P1+3hy3tiganGLOEzf7iMvzPG2vVyo85KOvO4zfQ8743ztPaYiWmTt3hvyKS3MwR8IhuPWNQWFjFxuP/3STRHHrG1ysvtgs+T5DK/0Ee6xDJX3MhnVWF0+mqxuUhJ1KBUKjjbZ0GvVUj6rVq1i7rQhaOIU1DTYI/q3tCQdU8f1jdg2FJHpcvtJMKjx+PySSnBKop7nFv5A0YSsVs9u2Ny+rskpKRhnpps4WGOlwezE0aI63LZfdXv8uD0+lIrWamJpSToKRmfSLUVPcUEwrUOrVkr7HGt08OCNw3G4fNQ02Hl7dTkWm4ff3TIqcqxI1Z6y0BMIQ7ZTiFOpMOrVTBjRi/IDjVL5nAkjemGxu4Lx4GZXxKAbiquH4IP26optUh29+TPyMNvcdEnWxxy4lUrFCcMpmqxu/IHosCWlQn7f44ZmCGNOIBAIBCG80C1By5CstKDyeVsjNkSbseNwo0OKNHJ5/LKLqGqNKirMrqrGEpW+E8ohu21qLhq1iqf/9R0mo5prL81i0dqdEZPF9FQDLrcfpVLJv8t2MHlUhmTEhp+7rYjTwjW7uL8knzc+3EFdk5MF7++gaEIWtY2OiLaHwoy7JAUnees2VbFkbQV3zxyGQefEH4DbpuZysMaC0+0jLUlPzzRjRC6dpB3hF+Ntu7hQ5yUded1n+h52xvnaHpOg5zW8HE94GHFako7CMZlSmHB4X3LFmEx6dYknXhcnHdfs8PDswh8wGdWUFObg9vhjhgGHFIKnjusrKfXefs0g/P5gXdaFa3ZFLdz98sbhEXoBLo+PgtGZshGZ0ydlk2hUYzSouWlKLjUNdtZ+V4lSkRFlvELk3D5UDii02HbL1QP5cvMhZk0ZILVLq1Zx69RcPF4/z/17c0Q6RWqiThKdCkW0eLytqRwB/Og0cRyoNhMqf+zy+Pif/9vEM/eMY0h+r+BYcRpGLAhDtlMwGdQ43T6ONTgi6i6VFubQp0cCWrUKTdhqyiO3jeaFpVuklRsg4gEMrer+84MdUQN36BhKhSKqMHPb3M0kkzYohDE1F7PNIxnYOb0TI/I+v9x8iPkz8nhl+baYxxIIBAKB4HRxuX0xJ1qhv5ssrigD94P/7OO2qYOYPimbOJWCHmnxxKkUzJsxFJVSIXlHi8f2lwShoHWy+PAto1ApFRyoNjN5VAZGXZzsueVEnCqPWqTxOpTT1i3FIO3fthZ7eG5tKP8sNBnc9FM1E0dkcOComYM1VrJ6JJDVw9T+sfZCrZ0qEMQi7J1ISdRxsMYapWti1LeKrMmVnFxcVsHjcy4mXqeSjNgQIbEmV1OwLuuNhQOj+ieXx0f3VAPFBTnoNKoIIzQtSc/zi7dQNDFLdj97i17ARxv2c39JPkfrbTEFp/r2SMDl8fHEaxsj+hqf3x8RvhseThzeL80pGszitRUtt03BlWP7svrr/Tx44wjsTg9dkvXYnV6ptFjovK+v3M70SdkRWj+vrdzO724bzfRJ2Xz89X7G5fXg1RWtecLhXuomm7uDfmxhyHYK8VoVTVZ31OrJorIKHrl9NHdNz6PZ6mTZ+j1BN/tto7HYIpckwsUdXJ6g3H9dk5NVG/ZTUphD1xQDh2qsLPk0qBZ2f3E+uX0SeXLe2GDdugQdqQma1hgAgnH5d1wzmCP19ggD+/7ifHIzo+tctSvcQwyiAoFAIDhF0sKEomKV3DHq1VFGpsXmQatWkZORxM7KRg5Um9HrVLy5qpzighxp26R4newE0O3xRXgY5k4bwh3XDuKfH/wUsVC8Yv2eiH21ahWZ3U2SqvGXmw8xsE8KB6rN3DV9CLWNTnp3i29T/iLoyW1bf/b1ldt56OZR/O9bmyIWvLul6InXtmN6dqHWThUIYtHmnSgtHBBVA/X5JVv4410Xt/YpMdLp3B4v8YnaqHcpXFCqrslJTaNddhHsaL2dlV8ES22GfxeuKiy/cOfkzusGs+D9Hbzx4Q5mTspGESNyMsGo4YnXvonqa265eqDUf4U8rCEl+N/eOoqqoxbSkvQca7S32h8KUMcpKByTiVIBzVYXPn+A+maH7P3xBwIRnmeXx0dDs5NFZbsovjwnygYKbbvyi70dKiAmxJ46gwA4XF7ZH97p8rF24wH+8d52LDYPpYU5+HwB5k6LFHcoKcxh3fdV0t+hF6muycn/fVSOqUUI6t7rhwUFhzITqTpqo7bJic3hpbbZSVWNLUKynwB0SdJFrU4/v2QLZpsnUlTI3w6RoZYO4+GXNvDEgo08/OJXlFc1R55TILjAUSgUUSJRdqen9W/DqYscCATnOuHiLKGJ1iO3jebROy7iibkXk9U7EYNWFSWANKdoCEfqrDjdXlZ+vpcln1ZI+V2hbQD0OpX07xBBT2sgYhx87b3t2Jxe7i/J5/ZrBvHQ7JF8tqmKwjGZaNUq0pJ0lBYO4N7iYRxrtLNuUxUrP9/LzMv6887qcj78zz40ccEpVdvyF6FzyNWfbba6KJqYRVqSTlrwtjp9VNXaMDu9xx1PY9XMjBB5FAguIELvhMmopvjyHLok6aX3K4TL42NnZQPz24gOhRORTtciCnWkwU691U292cmvwsTbvtx8iLlF8nN4l8cnqZaHCAT83H7NIPr2SOCB0uHcOjWXtCSdtJD18dcH+GxTFY/eOYZrL+2LRq3irY9+ihJnmlM0BJvDI9vXJJl0VFTWc8/MoSSbNJLwbOGYTAKBoFc4TqXk2+3V3Do1l9LCAXRNNmBuUY5vtrlRKhXUNzvJ6G6SvT8EInV6tGoVjRandM/k2qVU0uECYsIj2xkog4ndsVZPLs7rQcFFfahpsLNqw35mX5lLolHN724bxd5DzfTsYuLNVTukRPPw/NnQcRINmogcAJvLR11z0LUvrTAXDSE1SYcx7AHskLpdYQWjDx6zSrWiQoPo+V6AXCA4WdoKRqnVcXg8wSTCx+eO/TmaJBCcHciIs9Q2OfnnhzskgaeiiVms21Ql1Z/VqpV4vT4yuydQebQ1V3bdpipKC3P4ZGNrfllNg122FF5NQ3Q+bEqCDr0mDpvTS2WNmQnDe5GcqOfXN43A5vTy8rKg4md6qoE51+Vx6JiFumYn4/J6AMGF5hXr98QsbSFXf/ZovZ0vtxySjuf2+tl9sIE3Piw/oYf1Qq2dKhAAshGBTVb3CcWXtGoVNoeP1V9X8OS8sbg8XjK6mXhBrqwiQYfN26vLowTn5s8YijpOgUKhwGx1UVzQn5QEHdV19gihp7XfVXL3zKG8vGxr0DbQqLDYPfw1LCJk/ow8kkxaDhxpTXXwBwIkGLXUNDjw+PySOJNSCf16JrLis93cOCVXtq9RAOOH92bH/kbJIx1KeXjm/1ojQObNyMPj8fP5DwcpuCiDrsl6bp06mBeXbgmqva/ZhcmoltUj+GjD/gitn7nThrBs3e6IdrRt1wnLdJ4CwpDtBOrNblau3xOVZzp/Rh4KpZ9uKUYcruBKq1qlRB2nZPlneyi9YiBJ8ToUCrjm0r5Y7B76pCfQYHZKrv9Y+aoWu1cyYqFlhXnldp6YezFGjSoiT/aEQk7HQyaUKbyDEIOoQCAQCE6KMHGWkJBKhNomyNafffSO0XRL0aOOiwuqD7t9uNxe5k3P4/AxKw+UDAdFcPCbPilb0oVISdCyqKwiqu5riknDU//aJBmr11+eIyl/rvxirzQZLByTyXP//iEiBDnZpOXZd344boh02/qz994wFK0mjozuJvyBABt3VFN11Mqd1w2mf+9Ehud04+AxC12T9bKTvwu1dqpAIDcXvfeGYfTpYeLaS/vhcPkompgFwOZdNbg9fm4sHEhtk4MEo5rl6/dQ1+TE5vSQkWYkLzueXmmGqHQ6syPo4W3bHwX1a7ZKYbUhHpo9kpVf7JU8wqG+pWcXI8/cMw6ry8f2vfVR4c6vLN/GL1sUfvU6FXptHE+FqaWH5tmhc/3XrBGMH96L/UeaYy7UJcZrI6qSyOUC/2P5Nu64dhC3XTOY/UeaOdpgx2J3MT6/Fwve3yHlAofSGrsk6Tlca5NqyM4pGoLb7eWBkuFo1Ap+cX0+ew834g/ArCkDpQjQkO3S0UYsCEO2U6g3O8nJTOGTbw4EC7u7feg0Kr744SDjhvXkpbCiwvOm5+F0exg/vFdE8eT5M/LYvOsYXZIMOFxe/njXxXi8PuJ1atl81WZrtBiGy+Ojus5GQ7NTWtENhXG1zalpr5CTXChTeIy8GEQFAoFAcKpIXsaw0DQ5w7CkMIfKagtefyBCYXNO0RCq62289v4OAH4zeyQOl4chWalYHR4OHDHz4Vf7uXZ8P1xuX8QEUD9loBRhND6/F6+G6qmHtUVuMrjg/R08eucYad/w0hZ9eiRAIEBNo53Pvj8oeVSGD+hKdZ2N/++dVoP4rmlDWP3NAVa01KkNTSRXrN8b6Zlt8URZHZ4TijwKBOcjcnPRvy/9kUfvvIgEo5aFa1qjJ2Zc1p/Xw6IVZ00ZAEQu+iiVCln1ZLn+KEQoVDac2iY7t07Njepb0pJ05PRKxNuSYiB3rEAAVn6xl6IJWSz6JLYKslat4nCtjYxuJmoabaQkaCMW6hLiNdidXlITdRxrdBw3F9hkVKNRqyQxp9DCXOi8IUJpjY/cOor8nDSyeiWgVqnQqBUcOmbjb4s3R/TNZRsrKS3MYfZVA7HYPQzNTqNHsq5T+iWRI9sJJJm0JJt0lFc28ee3v+eFJVv489vfk5meJBmx0LIasmIbtY0uPN4AJqNa+vyV5duYfll/rA43b328k8de/YZmqyfmABWKrw9Hq1ah1agic2bCwriemDMmmF97EsIQsUKZguFeF0YBcoFAIBB0DiEvI7TmrYUMw+mTsvn97Rfx5LyxlG2sJClBF1W+4vWV20kwaqX9K6st/H3pVg7WmElJ0KJVK6k6asXh8kaJkSxcszPooQXZshVyn4f23b63jqnj+kq5eKHSFkfrbfzv29+z6JMKxub14Msth0hN1GOxuaVQ5dAxXn1vO7dcPYg7rh1MgzmYO1tckIPJqJbGcbPDQ/nBZr756Rh/XbKFhWt28shto09pPD8hLbmB7cnX/VmPKTi7OAO/cay5qNnqZsnaXRRNCL47N1+Vy/LPdrd5z3dRMDqTu2cORalStrZPpt0picHc+D7p8nmiORnJEf1VRrcEnGFGbOicr723HavTh7olxUDuWEfrbcc1mkPz7JLCHNZ+V0lVjZk3V5WzqKyCQX1TULakXbjcPt7+eCcvLN1CsklLaZvc2nAKRmdKkaOh8yx4fwd9eyTJtvHgMSuPv/oNZpuHd9aU02TxSAtuof0Xl1UwPr8XLy3bhsXmYeXne4nXqjptcU14ZDsDRYDURB3pqQbG5/eSXhKjTiX7cPoDARau2UlxQX/e+nin9LnF7sHr80t/Hy//NNWkiQplnlM0hPc+3xMd7nsadbtihTINzU5j3OBuYiVYIBAILkRavIRH99Ri0MadsoJ9KGro7dXlEV5Yi81D767x9OseD8DsK3NbJ35hhCKRQpFNTVYXpYUDcLp8fPnDQQb0SWX6pOyYasbhk245NeXwz8O38/thUVmFVJMx6PkZyAf/2Ssde3FZBY/cNppXlm9l9lW5sue32j1YHe6IygKhsMLD9XZJDTn0+dfbjlB+oJHsXomg6ECLoTMUkYXK8vnPGfqNY81F/f5AVC5rePobBN+zrsl63l5dLlX9SE4yyrZbE6dkxfo9sfNEv9rH43MuxmxzBauFJGqwxxB73bqnlu931nDtpf2ijnX3jDwcLi+/mT0SvVa+FFhmdxNFE7KksN5QabDqejsvL/uRGZf1x2J38+aqclweHybU+Px+lEoF95fkEwgEuPv6obwcFhXaPdUg66V1uLzcV5zPoWNW1n5XicXmke6jy+Pj1RXbeOS20ew/0hyzHw15rDs7SkQYsp2Aw+nDZFQz87L+vLZyOyajmoLRmaQmGrh1ai6rvmp9ocKVv5LiW1XVtGoVOo0Kl6e1fo7L46PO4pJ/IPwwLCuFP9x1MUdqbWg1Kt77fA+7DzZ3aLivXGjyvTcMA78fFOJxEggEgguOjpy8tkQNPTx7JFanhyfnjcXm9ESVgcvNTCQ5QX4y27NrPA/eOII3V+2guj5YGmP2VQNJ72Liy82HmHppFoFA4LiCTF9uPsScoiG8vnK7pKb84I0jqG+yc8/1QyNShMIneF2S9BQX5JDZ3cQbHwZFG8NzcX3+AB6fH0OMyarJoOGvizZHeTimT8qmpsGOyaimaGRQ9EqhgGsu6ctLyyJrvudmJmK2eWiyuTHq1LjcXuINmpNaXIiliHw6Yo6dcUzB2cWZ+o0T9HFRYfUlhTnEqVWyNWHDc1lDImuhefjzS7bQPc0o2+5QySwTavyBAPOm55Fs0nKg2syqFoNy9hQl3RMTgg3zQc8uxoh3Oy1JR8HoTLql6Jk5OYfPvqvkiov7BvP6XT6abS7UaiUOFzy/OKi4HOp7wh1Tb39cLvVnd143WLqetCQd4/N7YdTH0S3FIKU4TB6ZIRm1IdJTDdxfkk/lUQsEoMHsiGrr1HF9I0KN503Po9nqYlWbxYD6Zifd0+Jl+7GQAFRniDu1RVgenYBOE4fXG5CM2LbqaSEV4vAVDq1ahV7b6voPleUJ//G1ahV7DjbjcvnkJwh+6Jqgpb7JGbFq26GrIW0UJhUKBa8s3yq9XGJ1VSAQCC4sOnzy2iZqKNWkwWz3UHXMJqmTmm0eXliyRaq3GD6ZPVpniwrte/vjnUyflM3Gn46x8adj9O+dyNxpQ3jtvdbJ4s1XDSSju4nSwhz8flj3XdB4PXTMgtvj5/X3g6Fyv7l5JPeX5HOwxoLfT4Qaam2Tg3Wbqrj9msEUjM5Aqwkax+F5vLOmDCROpZAVaWm2OWU9HN1TDfj8fq69tF/EsUoLcyIqB7y9upxZUwZGTfDLNlYy+8rcdo/PnaGILFSWz3/O2G8cgMF9knjkttGUH2jA74eyjZXccvUg2fOHclnDF57Cv687Tq3UkNpvWy+vWqXk17NGAFBV29o3KUF6t01GNVPH9Y14z++8bjCvr9xGdX2rcrpWrZKMZleTj082HuChm0fidPuorLbwycYDrRGeAXC4PNIiWSwbQy5EubrezsEaC0vWthrBIMkHygABAABJREFU4f1QwejMqL7zHyu2MX1StmTEhtqr1ah488MdUUZ3eI5sk8UVNGQ7EWHIdgJWRzAf1eXxUTQyWulsUVkF/337aH7a3yiFCJQW5pAQr6G4IAelQkFako4Afr7ccgiIfPksNk/sCYJMKYMOd+m3TDIAHn5pg1hdFQgEgguYDpu8ypTTAHlvr1EfR3W9HZvTw69mjcDh9HK0IVj2omB0RsxJaYjdB5uBA/z+jouwObzodSr2HWrmrY/LGZ7TDRRQNKk/jc0Oln66O2KS6PMFePvj6HIcc4qGoFTC1HF9pcXk0sIBUQqlC9fspKQwB51GFSHSkpqoo6bBLuvhiNep2XO4OepYi9p4m8bn95KM2NA2IY/UCcfnsPBwo0FNeqoharJ9OtFdQmX5/OeM/sZ+6J1mINGgpsnmZtyQbtCSf9r2/CMHdGVgZjI6bRy7KhuYPCqDdZuqpAWotER9zAgNOYG3xWUVPDl/LMcaHNI8OLxvWtUi9paZbpL6gtC+C97fEaV2LNc/VdVYyOqZJCmmB/usYLsevHEEWrVKtm2hFAd/jKiTPumJ0ucWm4fURB0lhTk43T7ZUGOXx0dG91bPa3jqYnW9nUSjhpLCHFJMOjRqFTWNNsbn95Icdp1tEwhDthPokqjD4Q6qpWWmmyQJ8NBL4/L4OFxrA5DkwLUaFW6vn97d4kkwaNBolHRL0vGLG/LZuqcOAkTE+B93gnAaObAng1hdFQgEAkGHTF5jhCf3TDPIenufnDcWrVrFqq/2c9OUXN5ZU87kkRlMHpVBn/SE44YNQ9ATMS6vB0+2lLgINzhDE8bczCRKrhjIvOl56LQqahsdqOOUvLsuOFFcsX4PRROyMOpV9O2RRJM1mCf37qet4jKxFEqdbh8fbdjP5JEZaNRK0tOMBAIBFAoFN181kLc+bi1bUVqYg9PjpVcXY8x8tBBKZWyhmOOOzzL3f/6MPJasrYiIuDqphfG2CxOG06uaIDj7Od3KGCdN2/muAtnzpyZoONbo4H/ebK2hGh6p0K9Houx+Rl0cDRb5qiDNVnfMvilULqy4IOe4HuIQ4f1TKBVBqQCnyxOhFZCeauDWqYOpa7LzyG2jsTuj83FNRjU5GUk0W908dPMoyfsb8gY3WhwRnuwvNh+i4KI+HKhuJjlGX24yaHjkttHUNzujUhe1GhX/91E5xQU5kqc3nM62CYQh2wkk6OOwOt3MuKx/lDBDyKOaaNSiUiqwOlz07hbP2x+Xc3/JcCqrzRw+ZiOrRwLdEnTE6+JY+fnes3IFU6yuCgQCgaAjJq+xwpN/M3uk7ETQ5fFK52y0OCLqzKYl6aLC3drWcW0bQrf2u8qIELv0VANXj+vLzgONksc0PVXPh1/tp+qoFZvDw8QRvclMj8ft8fPUG9E1H8O1MOSM6romJ+u+r+LqMA+uVq3i/pJ8yUNCAMmz8UDJ8OCk0qiOqH8bnpY0MDPluDlrscZnufv/yvJtMXOUT0isvOnMTo4YE/y8BIL560/OG0u92RkUQErQgP/Eu3bY+WWiEs02+dKRT84bS6pJQ1ycMno/o5ryyubIEjYtaNUqDDp1lKPKZFTj8flbUg+saDVK2X3DvaJatYpf3DAMm91NeqohItLjd7eOpmxjJY/cPpoDR5rRa9URNawfnDVCNsf1mf9rNdjnFA1Br1Vx6JiNJZ9WSCHJoZDnoglZ0jFvnZorW+rM5faxeO0uxub1iPhu9lUDgYCUHllaOEDyLK/bVIXF5ul0m0AYsp1BAFQqlTSIQqRgg0atRKEMsGL9Hq4c20cKUXp+8WYKx2Ty/c6jACiUCtISdfx61gieDUu8PltWMM/4yptAIBAIzj7CJo92jw+DWnXS40CsCJ9YCp7xOjU9Ugw8c884rE4Pv7hhGC+2hNSqVUq6pxklT2pNvZ0P/rMPtUrJgzcOx+HyEWjjKa1rcrJqw35+e+todlU20L93ElVHLRHqwaWFOVw6rCeJl2hRqyA50YDH4+Ov//5ONpR3yacVrNtUFZULe/NVA1EqFTFDA59fvCUq9BDgSJ2V26bmRpT30KpV3D1zKL++aQQatQqFMsCsKQNZuGZnxES0bGPlccfnWPff5vSQkWaUfuf2cqK86c6OGBP8TCigvLJ1ASM91cD8GUMJBAIkxWtPWc081rmiUhECyEYlHu/5To3XSNuF7xcyfk1GdZRxN39GHi8s2Sx5OkMK4uPyevCH1zdK282dNoR7ZuZFCLLNKRpCo8XB/SX5VNfZ8PoCdEkJVjq57drB7D9slvLe311XwczL+rNozU6uv3wA//vWpoh36s0Pd0ToBMjluL6+cjslhTlo1EostmDqY3hIcZdkvbS9w+Xjy82HKJqQJeXjlm2spHBMJsNzukll0DLTTShQUF1v5UitjV9cP5RGi5vPf6hkfH4vlEqYW5SHNk7Z6TaBMGQ7CYtN/qXp1zOBNz7YwS9uyGfiiN706hrP+Pxe0urt4rIKHrxxRMSKy/3F+fz53ktosLiOv4IZ66XuLM5EPq5AIBAIzn5aJoFZGSnU1lqix4ETjE+xInxMJ1gwlSaeASiakIVep8KoU/Pkgo0RhpxapeSKMZm8/v521Cold88cFnU+i82D2+MLivCjiJoQLiqr4OGbR7H0011cOa4ff3jtG4omZh03dNBi86DVqCgu6I/H66dPeiJev493Pt5J0YSsmDlpcqGHbo8fhcLLkrWRdTFfXraV4oL+LFm7m1lTBhJviGPWlAF0TTHg9wdIMGoYNbALBIgQzCLQ+ruo1aoOjbASqUcXJuELGGlJOgrHZPL0v76L9Mp3hCCojMf/17NG0CVJJ9vHnEoEYegZdjUF0wBCxl1eViovvfujlD8eWrx6oGQ4f1scqTj+2nvb+d2to3nkttHYHB4MejV/X7olQjgpLUlHtxQDryxvVUKfO20IiUYNlUctuL1ebp46iCaZEOeQTkCoLzHo4mTfu6R4LYnxGh68cQROV1BP4IP/7GNsXg9Uylav8bpNVVHiUbOmDOCD/+xj8qgMLDYPem0cTWYny9bvka7jlqtzJYM3fN97bxgmm2Jgtp1+qbYQwpDtDBRgMmhkXxqjXk3hmEzMVheLynYFY8rbJHwfqG6OeBFCq5jHXRX9ueqznaF8XIFAIBCco7RjfIoV4ROvi2vXgmm8QcPKL/ZSNCGLRZ9EC7P8100jUKLgtqmDiVMp+GxTUJH4QHUz/kCw3M6VY/ugUsDKL/bSbVqe7ISw0eIiL7sriz4JGqJ90k2yY/3gfmnMvlKJ2+NnediE7/7ifLQaFfcVD6eu2U6iUX6CnZORHBF6GApXjiVk1TXZQEb3eBau2ckd1w5Cr43jr//eHOFBapvv2rurkZpGBx5vgGONNn41awT/+nDHqefEhiFSjy5MwhcwZKMNOkgQtK3H32RUc6jWGhW9GOpjTiWCMPwZrmtysuTTCrRqFUOz0yJE0ELX5vP7Zd/NnZUNfL+zhtLCgew80Ch5RUMUjM6UjNjQPq+9t53pk7JZ+10lV4/ri9nqJtGolRVgczh9Ut83uJ98asHRejvJCVr0WiU+v5+MbvFoNT0IBAI4XR7ump7Hqyu2SaXGHrp5FAePmbE7fHzwn31YbB4GZiSjLejPB//Zi8XmiaiZ3S3FwPj8XlG/99+X/sgjt42OWMyQ64tOx1YRhmwnYHV6abQ4o8KJ7po2hIDfH0wuvyo3SnwCWgurh9OeVUxRn00gEAgEZyPtGp9OEOFzogXT0ET14DGL7GTS7fHzQli444zL+kdEPt1z/TBWb9hHbbOTWVMGYLa7ZCeETVYnRr1K8jyYjOqosX7+jKHEKQOS2nH4/scaHdLkb96MPBZ9sjMqbHHe9Dx2HajjwRtH4Pb6OFJrk/Q1+vRIlG3X4VobxZcPYMmnu0hL1PO/b38fcb9fWb5NClcO3f87rh2EQqGIKF80p2gI6Sl64vXq04qwEqlHFyYRCxgy5V86yivf1uM/eWRGVARFRB9zChGESgWyJbL0GvnoBZVKPh/W74dpE7PZfbCRtd9VRb3vvbrKi7hpNcqocltzi4aw7LPdESHNZRsrpf93TdFx98yhvLwsss71dzuq6Zaq59UVbcvkVFE4JpNdB+p5bM4YjjXY6ZJsoMni4N9rInNhX1r+Y4QnObtXIk/MGRNcnFIoOFgj3/eWH2g4YV90OraKMGQ7AbPDy98WbSGjezz3l+TjdPvQa+Kw2F2oVCquGJNJXZMjSnwifKUinPasYoowHoFAIBCcjbR7fDqdCJ+WiWrXZD0r1kcLJB46ZpU+G5/fK0rD4qV3Wz0Hfn8ApVIRVWd21pQBrP76AHfPHCaJO7mafKxqyRvr3S2egzVWfD4fB6otzCkazPLP9kg5Y317JPLuugrpnP9omdCFwhaVSujdzcTbH5cz+6pc/vR/35GWpKNgdCZzi/LYf8TMsnUVsrVzP9qwn+4puZRcPoDdh5pk73e4urHJqJY1eF9fuZ0n5l4sTf5PGZF6dEESvoAB8kJnHeGVj/L4t8doPsn+pcHsksrohPJFV23YT//e0QrHd88cSu+uxqjPQ+/mjYUD8QeCqQZfbzvSGg3iJ1i5ROY+dU02RJXueW3ldh4oGY5SCYkmLWarm+sn52C2u7h2fD8WtUSfhB+/bGMlt04dLC3chY4VyuVfXFbBQ7NHsudgE35/gFeWb+O/bhoRtF9cPpptLvz+QFQd2bQEbYRadG4feW+wnHMuvC86XVtFGLKdgNPlxWRUMzavR4QS4Z3XDcbuCiZY1zcHhSXUKiWP3DaaHfsbIACffHMgqph5e1YxRRiPQCAQCM5Gztj4FIBUk0Z2kvn26vLW7WJMeu1OL9MnZZNg1PLC0i2kJekompCFRq2kf+8kDlQ3Mz6/F/sORxqKdU1OFpXt4pclwwHQqFVYHB4MSgWlVwzgpXcjvSONFpdUig8FUtgiQHFBDtX1dlzu4PEtNg9dknSkJumwO71BxWSnR6oTGSrNZ7F5ONpgZ2CfZPwBeQMifA5RMDozpsHrdHkBbeS9PRUNDpF6dOERtoBhdXro3TX+pOez7aGtx18Zo37s6dY9DldDDx0zXGiu7SJN6NrrzC40ahX7jwRLeel1Kr7cfIiSwhzcHn+EUZmWpJP1/FbX2WTfzwNHzRh1KqwOT9RCm1qlpKbBwdsfl0vK5uPze3EoRqRKqC/cX21m6ae7ufO6wZiMavYcapacamlJOu6ZOYzSwhwpDWP2lbmRv2MAencxcO8NwyJ+73tvGMbCNTsjztu2Lzrd30kYsp1AWmJwBbVtrPiC93fwxNyLeXdtBeWVTZJ64YFqM0vWVrTGip+CPL0I4xEIzk0UCgV6o/b4GwXAYXedmQYJBB3MGR2fZDyBSpUyKi9NbtJbedQiaVdo1aoIAzM91UBJ4QAWrtlK0cQs2f2P1NmkPLqHbxmF2+PjuX9Hir+EKxrLTehCZXJSE3UUF+Sg06jQaeP475c2YDKqmT4pm27JBrw+P0fq7MTFKbjj2iFo4hR4fQEcLi96rYpbp+by5qryCGN+cdku6TzdUgxU19tkr6NbqjHynp6MBseZFp08Vc6Vdp6LhC1gxDL4OuIc4e95iklL767x7e9j2vz+qf7ojU7Ub8VapDlcZ4/Yp7Qwh3XfVTHzsv4s+2y3bG1ZgIdvGUWTxUWSSUtto51Gi1v2/VQqFKQlRXtrF67Zxe/vuAhFIEDB6MzWMjjfV1EwOjPm4lZISC5kp0yflI3fHyAtScdVY/uQkqCnoqqJtd8Fy+nce8MwcjMTo0sq+WFwZlJUCaPZV+bK1qcOteF0xwJhyHYCCfo4MrrHy65+WB1upozty4zL4jjWaKdrkoFuKXoyW+LMEwxq8J/CKqYI4xEIzln+8NrXx/3+8bljz1BLBIJO4EyPT20nmQoiJqRfbj4UVWc23Gu7blMVs6YMiMhNm3FZf9Z8HQwz1GtVsnloH23YD7SIQpld0r/DCXlBtGoVd03P491PWyd0oTy3u6bn8fbqcqqOWnno5lFSyQ1Xk49FZbskozpUGiiU8xt+PTdfNZDSwuCEuU96Imu/PcDEEb3p3S2enmkGLHYvS9buisrXu+f6oaiUClAEpN+n3RocP5fo5Eni9wfOiXaeF3SmV77Nsdvdx8g8pw/eOIKcnqbI7U+h35J7VxaVVXB/ST5Wu5t7i/Nxu32SUZmWpOPqlnqu4XmwECAvOzVKzbi0MAetRhXTW1tR1UicShlVNiwhXhOVKhGeXxved/XsYuSjr/ZFqReHtvv70h9j57S2/b39MvfQqKZv95GnXKqtLcKQ7QwCkJKgk139MOo1PPv2D/z+josY3CdF+gHjtXHSvqdzXhHGIxAIBIKzjp9zfAqbkB6ut3OwxsonGw9Iea09Uw1RXlt1nFIK39VpVKQkaKltDuaIOVw+Mrtr+M1NIzHb3RxrdEgl9CA41tc02CWDte08ILO7iaIJWazdeICbrxrEsSYb2b2S8PoCzL4ql7QkHZcO60HaRAP7jzRHTVjH5/eSjOjQ321zft/6eCeP3Daa8gONLPusguE53fAHAhyssdK7i5GeaXqp3mwoP7dPeiLLPqvgpXe3thp2QJ05uuyHXF7buSI6WV1nOyfaKThJ2tnHyD2nz/37B/nf/2T6LUXsd8Xp9tFocdMt2YdWo2JO0WBeX7lDVtn5tZXbKS7oz5FaK3anl5LCHBKNWpITtPh8fv75wQ4Kx2TI9i190xOpONgk1aENGdIlhTkoCJYo69crgUSjlkazk4kjekf1XWabi1uvGczjr34TM5rkpHJaZYzb45ZqO0mEIdtJ2ByeqJXOksIc7A53i2fWQ89kvTA2BQKBQCDobEKTqd6J9Ew1MDAzKdLDEua1nTwyQwrLDXH7NYOY2sZzcte0IXh9flIStJIRHPKArGrxcLSdB5QW5vDGhzuw2DzMn5FHs9XJmq8r8Y8hYrs7rxuMVq3E6wtETViVyjae3hg5v063TyrfEX7s7qkGhvZNZnBmEg/PHkmd2cWeQ828/v42aUL7/JItPDlvLE0WF3uPmNuVf3iuiE42mB3nRDsFnUOnPKctXt6Dx6yy70pNvZ1131ehVStZ1KJ2HlpIk2tLsknHP1Zso2hilhSGW1yQw5ebD3Ht+H4oiFZUnjUlqCxssXkk72koFz/ZpOOdNeVS2ZwhfeNQKhVo1cqIvmvWlIF0TTLgdHmPG01yNunvCEO2kzDo1ZRtrIxQOyvbWMl9xcODD0H8CXLiBAKBQCAQdCyxPCxhXtujjdGGjtfnZ8na3REeilff287jc8bg9/t5ct5YbE4PSUYNtU1OLDYPLo+Pso2VPHLbaAKBAElGDb5AcF+/H5xuL26vn/kzhkp1FkPHXvD+DkoKc+iZZoiasA4IqzEbQj4CTC2r1/Hysq2S9ylBr6bJ6mZRS/5sCJfHx/e7jqFVq/h+59Eog1wur+1cEZ1MSdCfE+0UdA6d8ZyGvLwmo1rWifXRhv0RJYJCaQKlhQNk25KSoJM+C32/blMVV4/ri9Ptk0p/hWwMpUKB3++XFqLa5uI3mB3S4tk7a3ayYv0e/nzvJfRINdA/IxmHy4tRF0d8y39mhzdmfu4p5bTK5aR3EMKQ7SRsDo9UZy78YW6yOikpzMHni070FggEAoFA8DPRYuQio4Dq8fplPRRuj4+MtKA4Ump8cCKcYFDHzKurqrWxqKxVDfTqcX0j6iyGHzujm4luKXrSUgz8/o6LsDm9HKm1suqrfRE5unI5vyWFOThdXnrGqFEZ7n2Sm9inpxro3c3EwRoL0ydms+LzPdKkeWh2Gj2SdVET2XNFdDI9LbpMytnYTkHnIPecPnjjiNP6/UNeXleTTyqnhQL6dDfxzw93BA1MmciJ73ce5aGbR7L7YJOkCFx6xUCq64Oe3XWbWuvO1jU5KdtYyS1TB0nnCldULi7Ikf4d7j2987rB2JweiiZkoVYpJWO3weIiI83YmtoYIiB/j+6eOZR+6SbidScpjBYjdz41Jf6k77McwpDtJOIN8h7Ze64fxlsflTOi/8ifu4kCgUAgEAjaIDeJi1UjUdaLc5y8unCjsa7JyUcb9nPHtUNkj52WoMWoVmFUqzA7PDz5z2+lbUYM7EpJYQ6piTqS4rUcrbdyf0k+1XU23B4/ZRsrefDGEaQlyut1hLc7QR8XYRiHxKPCyweGvEoWm4dxg7vJT2TPEdFJpVJxTrRT0EnIPKd9eyVTX2895UO2fa9DntBHbhsthe62LRGUlqRjXF4P/vet76X3bE7REFITNLz18U+SAftRS53qXl3jSUnQsrOy4YTltbRqFf16JEhe2bomJ1q1iuKC/tL3x/VAH+9dPsn3JFbufFavJDSKE+zcDoQh20koFQquGJMZVRfqYI0luv6SQCA44+gN2oii3HIoFB3Qy3YAokSPQHAGkZvEGdUd4sVrayRbbB7USsUJj902r2/5+r1ce2k/Fn2yizuuHYxSqYowPGdNGYDb4yXNZDhxuwPQr0cCD5QMp6rGTO9upqjSHovLKoI5fV3jj3/N54ro5LnSTkHn0Ob3VypPb6yPFY3Qu4shZomggtGtNgIE37PXV27nibkXY7F5Ijy7ABldjfgDULaxKip8ed6MPJa2KWmjUihY+cXeiBzaD/6zt/19Vwe9I7FykhssDron6E7toGEIQ7aTaLa6WRX+EAZg1Yb9zJs+lKzu8aLTFAh+bhQnLnvzxF3jzlBjTowo0SMQnEFilJH4268mcbTeeupevFieDjiuh7Bt+G9dk5PVXx/gVzeOwO0NKpmGzzdWf32Ah2ePbLeXNF6rQq0KeowO1lhkJ57ZvRLpJ+YvAkE0sd6zNuU0w7eJla5gd3okozjk2b2/OD8Y0gvMvjKXt1eXS2rjuX1S6N3VQL/uI4/bpyiVCjK7x5/xCIRYOckpJj0d0QhhyHYSXRJ1WGyeiPh1rVpFl0StGAQEAoFAIDjXCEDPrvFoFAHp71M9jpyn43jeDzmPz+wrc0k1BcMDZ1+ZG9vr2h7PSgCyegRzcm1uHyvW75UNdRbzF4EgBu18z0LbmJ3ygkqpJi0J3WLn2edmJPLw7DZGq68dfQodVOrzJInlrU5PM55WOHcIYch2EjFFD/QipFggEAgEAsFJcALPatvvlEoFVcdsrQqh7Zl3tNS0z+yRJMSQBIJO5kTiaDGN4pMN+ZVTDP6Z6niH912nG84dQhiynYgmrKC6UqFAE6f8uZskEAgEAoHgXKQ9k1uDWlYhNDcjsd2TVyGGJBCcAc6EOFoMxeCT6Q86hE7MSReGbCdhtnt4duEPUSEDodptAoFAIBAIBB1JLIXQk557CDEkgaDz6eT3rMP6g7MY4SLsJGKpdDXZ3D9TiwQCgUAgEJzPiLmHQCAIcSH0B8Ij20nEUuk6bt0mgUAgOEVOWKJHlOcRCM57xNxDIBCEuBD6A2HIdhInSuIWCASCjuZ4JXpEeR6B4PxHzD0EAkGIC6E/EIZsZxHooJpzAoFA0AGc0GMLwmsrEJzrnAkBGYFAcG5wAfQHwpDtTDqq5pxAIBB0AMfz2ILw2goE5wVCqEkgEIQ4z/sDIfYkEAgEAoFAIBAIBIJzCuGRFQgEAgEgwo8FAoFAIBCcOwhDViAQnHfoDVpQHH8bheIEG1ygnCj8+Im7xkUYu3anJ+JvhUJBIHCC2CVhDAsEAoFAIDhNhCF7miiVJ54Mt2cbwckj7mvncK7c1+O2U9E+g0xwaoTfW7U6Do/HK/39xF3j2pWLezY/Z2dz235uxJh3/l8fnP/XeC5e37nY5nMJcX/PPB1xzxWBEy6dCwQCgUAgEAgEAoFAcPYgxJ4EAoFAIBAIBAKBQHBOIQxZgUAgEAgEAoFAIBCcUwhDViAQCAQCgUAgEAgE5xTCkBUIBAKBQCAQCAQCwTmFMGQFAoFAIBAIBAKBQHBOIQxZgUAgEAgEAoFAIBCcUwhDViAQCAQCgUAgEAgE5xTCkBUIBAKBQCAQCAQCwTmFMGQFAoFAIBAIBAKBQHBOIQxZgUAgEAgEAoFAIBCcUwhDViAQCAQCgUAgEAgE5xTCkBUIBAKBQCAQCAQCwTmFMGQFAoFAIBAIBAKBQHBOIQxZgUAgEAgEAoFAIBCcU5z3huzWrVspLi5m5MiRTJ48mbfeegsAt9vN448/zpgxYxgzZgz/8z//g8/n+5lbKxAIBAKBQCAQCASCExH3czegM/H7/dx999385je/Ydq0aZSXlzNr1ixyc3P5/PPP2bNnD2vWrMHpdDJ//nwWLFjAXXfd9XM3WyAQCAQCgUAgEAgEx+G89sg2NzdTV1eH3+/H7/ejUChQKpX/P3tnHt9Umf3/T5abPWm6t9ANCimVAoWCFRwWsREFpSxKKy6oIOAy+NPvjDqOg87oLIzOIqMjijqiiCwKdpTNIqI4KIKCLBYKBdoCpXTPntwsvz/S3OY2N6VASxfO+/WakSb35i65T55znnPO54BhGGzYsAHz58+HXq9HQkICFi5ciI8//rirT5kgCIIgCIIgCIK4AL3akY2MjMRdd92FZ555BllZWcjPz8cDDzyAfv36oaamBunp6dy2/fv3R3l5OVwuVxeeMUEQBEEQBEEQBHEhen1qsVKpxEsvvYRJkyZh3759ePTRR9G3b18AgFKp5LZVKpXw+XxwOByQyWTtPkZdnQVery/s+5GRKjQ02C79IghB6L52Du25r7Gx2it0Nm1zobHXnelNz29vuhag+15PTxl33fX+dRS9/fqA3n+NF3t9PWXsEZdOb3/muyMdZW+KfD5frx0VW7duxfLly/HRRx9xr/35z3/GkSNH8N1332H79u2cU1taWorbbrsNhw8fhlTaq/17giAIgiAIgiCIHk2v9tjOnj0bkioslUoRFRWF2NhYnDhxgnNkT5w4gbS0tIt2Yi+0QhYbq0VNjfniT55oE7qvnUN77iutTl8+ven57U3XAnTf6+kp46673r+OordfH9D7r/Fir6+njD3i0untz3x3pKPszV5dI3v99dfjxIkT+PDDD+Hz+XDw4EF89NFHmDJlCqZOnYrXXnsNdXV1qK6uxrJlyzBt2rSuPmWCIAiCIAiCIAjiAvTqiKzBYMBrr72GV155BS+//DJiYmLwq1/9Cnl5eRg7diyWLFmCqVOnwu12Iz8/n1rvEARBEARBEARB9AB6tSMLAOPHj8f48eNDXpfL5Vi8eDEWL17cBWdFEARBEARBEARBXCq9OrWYIAiCIAiCIAiC6H2QI9uZiIAz5y2oqLHC5HADoq4+IYIgIAJMdpbGJUEQBEFcjbSyA0hEq+fS61OLuwwRUFLRhKVr98PJeiBnJFg0KxuZKREAjReC6BpoXBIEQRDE1YuAHfD4nSNg6KslO6AHQhHZTsJkY7lBAgBO1oOla/fDZGO7+MwI4uqFxiVBEARBXL0I2QH/+PBHsgN6KOTIdhKNFhc3SAI4WQ8ara4wexAE0dnQuCQIgiCIqxeyA3oX5Mh2EnqtHHJGwntNzkigV8u66IwIgqBxSRAEQRBXL2QH9C7Ike0kdEopFs3K5gZLoBZPp2K6+MwI4uqFxiVBEARBXL0I2QGP3zmC7IAeCok9dRY+IDMlAq88MQHn6izQq2X+QUKF5ATRdTSPyyUPj0Gj1UXjkiAIgiCuJgTsgH5Jkairs3T1mRGXADmynYkP6BungUzk4/4mCKKL8QE6JQOdkuH+JgiCIAjiKqGVHSAWUx++ngqlFhMEQRAEQRAEQRA9CnJkCYIgCIIgCIIgiB4FObIEQRAEQRAEQRBEj4IcWYIgCIIgCIIgCKJHQY5sZyICzpy3oKLGCpPDDVAtOUFcPYgAk52l8U8QBEEQBAFwttHB4zUdYhuRanFnIQJKKpqwdO1+OFkP168yMyWCVFIJordD458gCIIgCKKFTrCNKCLbSZhsLPdFAYCT9WDp2v0w2dguPjOCIDobGv8EQRAEQRAtdIZtRI5sJ9FocXFfVAAn60Gj1dVFZ0QQxJWCxj9BEARBEEQLnWEbkSPbSei1csgZCe81OSOBXi3rojMiCOJKQeOfIAiCIAiihc6wjciR7SR0SikWzcrmvrBAHrhOxXTxmREE0dnQ+CcIgiAIgmihM2wjEnvqLHxAZkoEXnliAs7VWaBXy/xfFAm9EETvp3n8L3l4DBqtLhr/BEEQBEFc3QTZRjbWAxUjuWzbiBzZzsQH9I3TQCbycX8TBHGV4AN0SgY6JcP9TRAEQRAEcdXSbBulp0ShpsZ82bYRpRYTBEEQBEEQBEEQPQpyZAmCIAiCIAiCIIgeBTmyBEEQBEEQBEEQRI+CHFmCIAiCIAiCIAiiR0GOLEEQBEEQBEEQBNGjIEeWIAiCIAiCIAiC6FGQI0sQBEEQBEEQBEH0KMiRJQiCIAiCIAiCIHoU5MgSBEEQBEEQBEEQPQpyZAmCIAiCIAiCIIgeBTmyBEEQBEEQBEEQRI+CHFmCIAiCIAiCIAiiR0GOLEEQBEEQBEEQBNGjIEeWIAiCIAiCIAiC6FGQI0sQBEEQBEEQBEH0KMiRJQiCIAiCIAiCIHoU5Mh2JiLgzHkLKmqsMDncgKirT4ggiEtCBJjsLI1lgiAIgiCuHGR/tIm0q0+g1yICSiqasHTtfjhZD+SMBItmZSMzJQLwdfXJEQTRbmgsEwRBEARxpSH744L0+ojs+fPn8fDDDyMnJwfXX389XnnlFQCAy+XCc889h9zcXOTm5uLPf/4zPB5Phx3XZGO5Bw8AnKwHS9fuh8nGdtgxCILofGgsEwRBEARxpSH748L0+ojsww8/jKysLHz77beorq7GPffcg/T0dBw9ehTHjx/H1q1b4XA4sHDhQrz99tuYP39+hxy30eLiHrwATtaDRqsLOiXTIccgCKLzobFMEARBEMSVhuyPC9OrI7I//fQTysvL8cwzz0AmkyE5ORnvv/8+rr32WmzYsAHz58+HXq9HQkICFi5ciI8//rjDjq3XyiFnJLzX5IwEerWsw45BEETnQ2OZIAiCIIgrDdkfF6ZXO7KHDh2CwWDA0qVL8Ytf/AI33ngjiouLoVAoUFNTg/T0dG7b/v37o7y8HC6Xq0OOrVNKsWhWNvcABvLadSpaQSGIngSNZYIgCIIgrjRkf1yYXp1a3NTUhH379iE3Nxfbt2/HiRMnMHfuXERFRQEAlEolt61SqYTP54PD4YBM1v6VjuhoTfj3ojRIT9Kj3mxHlFaJxBg1xGKSG+soYmO1XX0KvZKecl/bGnsdfqxOGMs95T63h950LUDvu56OpD3jrrffv95+fUDvv8aeeH1Xcs67Gumuz0Rv9iU64p73akdWJpNBqVTil7/8JUQiEQYNGoQZM2Zgw4YNAACHw8Fta7fbAQAqleqijlFXZ4HXG0Y6TOT/P5fTA4eMRV29hVTGOojYWC1qasxdfRq9jvbc1+7yY9/m2LscRH6BhUaLC3qtHDqlFPABMhGQoFMA8KGuznJZh+hNz29vuhag+15PTxl33fX+dRS9/fqA3n+NF3t9PWXsEZfOJT/zYeyFjqYj7Y/uQkfZm73ake3fvz+8Xi/cbjcYxh+Gd7vdiIiIQGxsLE6cOIG+ffsCAE6cOIG0tDRIpR10S0gymyB6HjRuCYIgCIK4EGQvdAt6dY3s9ddfD51Oh3/84x9wuVw4cuQI1q9fjylTpmDq1Kl47bXXUFdXh+rqaixbtgzTpk3rsGObbCxWbilB/rh0zMozIH98OlZuKSHJbILoatpoLk5S9wRBEARBXIgOsxfasEmIC9OrI7JyuRwrV67ECy+8gLFjx0Imk2H+/PmYNGkSJkyYgCVLlmDq1Klwu93Iz8/vsNY7AGCxszDmpmJNcSm3UlNgNMDiYEkymyC6igusoJLUPUEQBEEQF6JD7AWK6l42vdqRBYDk5GS8+eabIa/L5XIsXrwYixcv7pTjymVSzokF/A/3muJSvLhgdKccjyCICxNuBXXJw2OgUzKc1H3w5ERS9wRBEARBBNMR9sKFbBLiwvTq1OKuxOpgBVdqrA5KUSSIrqKtFVSApO4JgiAIgrgwHWEvXMgmIS5Mr4/IdhV6DUV2CKK7ccEVVB+QmRKBJQ+PQaPVBb1a5p+UKMWHIAiCIIgAHWAvUBbY5UMR2U6CIjsE0f1o17j0ATolg5QYtT+1h5xYgiAIgiBac5n2AvkKlw9FZDuL5pWaV56YgHN1ForsEER3gCKuBEEQBEF0B8gmuWzIke1MfEDfOA1kIh/3N0EQXUzzCionpEDjkiAIgiCIroBsksuCUosJgiAIgiAIgiCIHgU5sgRBEARBEARBEESPghxZgiAIgiAIgiAIokdBjmxnIgLOnLegosYKk8MNiLr6hAiC4BABJjtL45MgCIIgiO4P2S0h9AixJ6/Xi507d+LkyZOYMWMGTp06hf79+0Oj0XT1qYVHBJRUNGHp2v1wsh5OUjszJYIKuQmiq6HxSRAEQRBET4HsFkG6fUT2/PnzmDZtGh5//HH89a9/RVNTE15//XVMnjwZZWVlXX16YTHZWO5hAwAn68HStfthsrFdfGYEcRXTvJp5tsFB45MgCIIgiCvHZURUya8Qpts7sn/84x+Rnp6O7777DnK5HADwt7/9DVlZWfjTn/7UxWcXnkari3vYAjhZD+rMTkoFIIiuoHk186l/78KB47WC47PR6gq7L6XzEARBEMQFoPlSmCAb5Pm3d+Op1/6Hkoqmdt+fRouwXxHWbrlK6Papxd999x0++OADyGQy7jWVSoX/+7//w6xZs7rwzNpGrWCQGK3C2Owk7iHdue80nC4vSiqarvpUAIK4Yoj8K5m1Jicqz1ugVft7tckZCW9SkDMS6NUywf0pnYcgCIIgLgDNl2ERiqiu3FKCJ+4cAaudhV4rh04pDXuf9Fp5++2Wq4huH5EFAJcrdLWhoaEBDMN0wdm0D7fHgxk3DETR12VYu60URV+VYcYNA9FkdVAqAEFcKYJWQF/8z/fYsOM4Jo/ph31Hq1FgNEDOSACAm2x1qtDfFErnIQiCIIgLQ/NleFpHVGP0ChhzU/HsG9+2K0KrU0qxaFZ2u+yWq4luH5G96aabsGTJErz88ssQifzf7pEjR/CHP/wBN954YxefXXikEgneKjrEG8xvFR3CooJsLhVAp7y6Hz6C6GyEJtU1xaXIH5eOTbtOYvqEARiQFIEYndw/GQishLaVzkNjmCAIgiD80HwZntYR1Yk5KVhTXBri9C95eIzwvfIBmSkRWPLwGDRaXdCrZWHtlquJbh+RffrppxEdHY2xY8fCZrNhypQpmD59OpKSkvD000939emFxepgBQdzVa2VUgEI4goRblKNj1aBkYiRHKdB/wSNf9K4QDpPMDSGCYIgCIIPzZfhaR1RFYsRvuY1XJ2xD9ApGaTEqNu0W64mun1EVq1W4+9//zsef/xxlJWVwe12Iz09Hf369evqU2sTvUY4l10sFrWkAtADSBCdSriakpoGO2ZPGoTM1AjAK7Bjc11to8UFvVaOX80egZdX/cir+aExTBAEQRAtBJy11jWy3WK+bDWvt1WP2im0iqiqFQw27CgTrHlts864q6+jm9HtHdkbb7wRH3/8MZKTk5GcnMy9Xl1djWnTpuHbb7/twrMLj0QiwoPTsrD8k0Pcg/jgtCykJ0UgQnF1P3QEcaUQmlRnT8qA1+vDmRoLEqJUiNbK+OMxjFjFS49ej3qzk9J5CIIgCEKI7pr+2l1EqJojqjolA4gg6PSLxSLBOuMlD4+BTsXwriMxWoWFM4bC5/NBr7k6ndpu6ch+8cUX+OGHHwAAZ86cwdKlS6FQKHjbVFRUdMWptRuTlcXH248hf1y6PyXAB3y8/RgevSMbEfJuedsJovfRPKk++8C1OFhWBzkjBiMVY8XGEjhZDzbsKAuZzMKJVSx5eAxSYtTc5xIEQRAE0YpgZ635766mrXm9y2p3wzj9FeetbbbZCVxHQCzqT+/uuaoVorulRzVo0CCsWLECPp//m/j55595CsUikQgqlQp/+ctfuuoUL4jFwYL1BOUsigDW44XVwQJQhN2PIIgOxgeIRSIUfVWG/HHpWLutRFj+3sFCrWBgspFYBUEQBEH0Fi5ZhKqz03gFnP7gkqgYvQITc1IgFvvbelrsLfo7Fy0W1Uvplo5s37598d577wEAfvOb3+C3v/0tNBpNF5/VxaFTMZgyph9WNz9kckaCQqMBmqtcJpsgugKtikGh0QAn6+FNZgOTI2C81i9/Hxinc6cORmK0ClV1Nm47EqsgCIIgiJ7JJfVg7aJ05EBJ1MotJTDmpnLO6oYdZXj0jmEt9okovFjUBR3ZXlRn2+1Vi//85z9DoVCguroaZ8+exdmzZ3HmzBmcPHkSn332WVefXlgkEjHnxAL+h2t1cSmkkm5/ywmi16GRS5AUq0FKgo5TDIzRKzDzBgPe/u9h3jh9+7+HMWfKYOrVRhAEQRC9gEvpwdrpPXHbUCbOTInAE3eOCIm4vrruJyycMZR3HcG0a9G92UF/6t+72tW/trvTLSOywXz11Vf4zW9+g4aGhpD3dDodbr311i44qwvTaHYKr5SYnYihyA5BXFl8QHofLSwONx6aORSvf3wAE3NScKqqSXCcnqu3IH9cOvr31SEhUtk9xCoIgiAIgrh4LkGEqlN74l4o2usDrHbhNp4+nw9LHh4Di4NFcpwGr6776aIUortlvfBl0O3Dgy+//DJGjx6NdevWQaPRYMWKFfjb3/6GmJgYLF68uKtPLyxKuVRwpURJQk8E0TX4AI1ciqH9IrHk4THo31cHr094RTNWr0LR12V+J5Z6tREEQRBEz+Yie7B2Zk/c9kR72zq+TsmgT6QKg1P1WPLwGDw/LxdLHh7TrrTnthz0nki3d2RPnTqFRx55BFlZWbjmmmtgt9sxefJkLF68GG+//XZXn15YGKkYhUYDL/xfaDRAKu32t5wgejfNk1lClAo7951GQatxOnfqYNQ22iidmCAIgiCuUi4lHbm9tMeZbNfxL9I5BzrXQe8Kun14UKFQQCLx3/C0tDQcPXoU48ePx+DBg3Hy5MkuPrvwqORSKGQSTJ8wAF6fD2KRCNERcsgkYq4dD0EQXYdOKcXsSYOwausR5I9Lh1gMDEzSo7bJjqz+MYhUUySWIAiCIK5KOrEnbrvEpzrp+AEHuXVac6eVUHWysFS3d2RHjhyJ1157Dc8++yyysrKwdu1a3H///fj++++7tZKxRi5BYrQakTov3B4vxCIRNnx1DBXnLFdlnyeC6Ba0+kEd3E+Ph2cOQ12TA+fqbXh9wwGYrSwWzcpGpDqiq8+WIAiCIIiuopN64rbbmeyo47eyfTJTO8dBFzpu2FrgDqLbO7JPP/00Fi5ciI8++gizZ8/Ge++9h5ycHLAsi8cff7yrT69NrA4378srMBrQYD7Zo4uqCaLHIvCD+tDMoUiO1+DF/xzgrYzSGCUIgiAIolO4nGjrxUY423AmO9pBb01bwlKxHXSMbu/IejwebN68GXa7HQqFAmvWrME333yD+Ph4DBs2rKtPLywmG4uVW0qQPy6dk7Qu3l2OiTkpWPtFaceonhEE0W6EflBf//gAHivIFqxVsTj8ogu9oc8aQRAEQRDdiEuJtl5Cb9srolIcxrm+EsJS3d6Rveeee7Bs2TIMGTIEAKBSqXDTTTd18VldGIud5TUyDkRkRSJ/HrxaQU4sQVxJwv2g2l2ekFqVxGgVGswuvPDOnivaCJ0gCIIgCEKIS3FKO7WNENCmc92uWuDLpNs7shEREbBYLF19GheNXCZF8e7ykIjsPbdcgwKjAU7WDaBnKoQRRLeljZSbcD+ojWYH5kzJhMnKcsJsWf2j8MI73/eaPmsEQRAE0atoPd+rpDBZO09UqDtwoQin0LVHRShQaMyA1+d/YfveCpitbIc5k2061yomfC1wB9HtHdnc3FwsWLAA1113HZKTkyGXy3nvP/nkk110Zm3jZN0hEdm5UwdDp5bi051VGDEwpqtPkSB6FxdIuRESVygwGvDziVrkZvXBhh0l3OvREVnQqhlowWBiTgq3GGVxsOTIEgRBEERX0mq+T4xWYVaeAcvWH+zVWVSBBXmtusU2EYtEkErFeOrfuwQFlSqrLdiw4zj3XqHRgKRYTfia3Iuswb1QxLezlJ8DdHtH9vjx4xg2bBjsdjtKS0t574lEoi46qwsjlUo4Jxbwf6lv//cwpk8YgBuvTYWE+skSRIdywZSbgLjCI2NwptaGymoLvj14FjNvMOAfH/7I2++tokMoMBoAgLcYlRynQZ8oVa+aGAmCIAiiU+ik1iut5/ux2UmcEwv0wiyq5vtosbN44s7hOFtrxeog20QpH8RbfK88b0ZcpBKMRBRiF60uLsWSh8eEdWIvtgb3gunDnaT8HKDbO7Lvv/9+u7Z79dVXcc899yAionu0zGiyCq9QeH0+LP/kEJ6blwt1hCTM3gRBXCztrQM5U2PDyi0lGJudhOnjB+BUVZPgfgnRaryyeh9vAnh13U+9Z2IkCIIgiM7iEpyi9hIy34vQuXWgXUmr+3jv5MyQQNmqrUcwK28gRCIR996GHWVYFEbMMtx9uZQa3Cvel7YV3d6RbS/vvPMO8vPzu40jq5JLkRitwtjsJC4tcee+04DP/2BYHW6ge5wqQfQK2lwVbF7NtLpY6HVy3H/rYKhVDOqbHEhJ0CIxWoWqOhtvP3FvnhgJgiAIohPpTLXccPN9Z4oKdRWt76PD5RG0TeKiVDhz3gqtmoGz0YOUBA00Sn+NqkIuwYYdx3GssqnN+xK8QBCjV3Dpy1anJ7xj2p5WQkKR+Q6i1ziyPl/3yvVTq6S440YD3tjQkq8/Lz8Ln+8+1axa3GtuPUF0C8KuCqoZlJQ34bNvyjBxVCrWf3kspH59Xn4W1n95DFV1Nu5vhpH02omRIAiCIDqTzlTLbT3f79x3GgtnDAmpkb1SUcHOROg+CtkmlecsKPq6jKf98ad39/DsHKm4HLf+Ij3sfQmuwZ08ph9nJxV9VdZ2NL2t9OEwkfnoKM3l3xz0Ike2u+F0ejknFmipu5s+YQB+MUwKOUNpxQTRoYRZFTRZ/auZiwqysXTNfuSPSw9Jy3mr6BAWFWSjstoMQ0okJCLg029OoNBo4NWhPHrHMOjUDOBFp9X+EARBEERPp1NbrwjN92qmU0WFrjjNNgbr8eLJe3JQXW/Dxv+dxPa9FSG2SYHRgG8PnkX+uHS4WA+mTxiIV9ftD7Fzfj//OsTp5G1GS381ewTKzppC7KRLjaaHi8ynJ+kh6wCpI3JkOwmT1Skc+o9UwuFyo9HihEQsIuOXIDoSgVXBwGqmi/XCyXogY8SCY1MqFWNA3wiUnzPh8+/KcVNuKvon6fCb+0bhyKl6eL3Aqq1HcPfNmchMjUBJeefU/hAEQRBET6fTaydbz/fezhUVuiBh0mcvacFbIIpZaDRgxoQB+HTnCSTFarDk4TE412DHiTMmfHvwLEYP6cOrjy0wGrBp10nUNjoANEfDzU7E6eQw2f3nFBWhQGW1JeQ7GpgcIWgnnamzQZcccVHXFS4yX2+2I0GnuLh7LMBV48jabDbMmDEDd9xxB+bOnQuz2Yxnn30W//vf/yCXyzFnzhzMnz+/w46n0wivRJ2rs6Hoa38B9lOv/Y+MX4LoZAKrwlE6/3/7xKgFx6aCkaDe5AQA3Da2Pz7deQJzYq7BPz7cx9t26dr9eHHB6E6r/SEIgiCIHk97aid7C2HSZ2VSMV5e9eNFL3gLRTFXF5di+oQBeOLOEYjWygAfIJaIcarKjGnjB2DpGv/2gdpWF+vBA7cOxjufHUZto8PfWlCn4J1noTGDa80TOE7AxhFMX662oG+0Cmdqbe1eyA8XmY/SKtERD8NV0wPmxRdfRHl5Off3c889BwDYuXMn3nvvPXz44YfYtGlThx3P4/Zg/vQhXApxID99X2k1nKwHVbVW7oEx2diOOagIMNlZVNRYYXK4OZEpgriaCawKnz5vRoHRALPNiXn5WSFj81ydBa+s2YfVn5fC6fLgptxUWO1uwZXEOpOjzabkBEEQBHHV0xw1TYlRc23weiPh0mfLzppCXuPZ/GHs9nBRTK/PB6uD9d9HUUuP2PJzZs6JnTymH4q+LsPq4lK8smY/Jo/ph8RoFR66fSgUcgnvPL0+n+BxnKwbD80cyrOTCowGbNtTjlqTU/Baw/kyARss+LMWzcpGYoz60m94EFdFRHbz5s04deoURowYAcAfnd26dSuKioqgVCqRnp6Ou+++Gx999BEmT57cIceUSCTYtvsUFhVkw+HyQCGT4LOdZRhuiEfFOQsSY9SI0StQ2+joGBXUTpQ5J4geTfOq8LkmBf61Zh8WzhiKZesPIH9cun/S8AHrvzyGu2/J5FYynawH1/SLgsvlEVxJ1KpkJARFEARBEESbjmfr1zibv9luX7mlBHnXpiBSq0B0hAKRWnnYKKZYJOLsjNbOs5yRYGJOSkht65riUiwqyEaEmkFdY+givNBxNAoGOrUc0ycM8F+DD9i06yTMVhYKuVTwWi0OlrsXvHTjMJF5sbhjom3d3pG12+1QKpUX3K5fv35gmFBn8OzZs3jppZfw3nvv4Te/+Q0AoLy8HF6vF/369eO269+/P959990OO2+rg8V1Q/pwoX45I8HsSRkAfJg9KQMrN5fgtl/0x5ZvT3WI8duZMucE0RuQS8W4KTcVx083oqrOhrVflPLebzQ5eCp9ckaC+2+9Bk/dOxKlFQ3w+vwttG4enYaVm3/Go3cMw6vrfup1CokEQRAEQbSfthzPYBKjVVArGFTUWKFWMvh6XyVm3jAQy4sO8Wph+yXqQuqL75uSiaQ4rT/zSySCxc5yx9u+twIFRgNcrHBrnspqM/peEw+IRLzzFBKO4mwZAMlxGsEa5+DPiNErcNsv+qO2yYkX3tkjHExrS9X4Mun2juyYMWNw4403Ij8/H9dffz3EYuFs6PXr14e85vF48Otf/xqPPfYYkpKSuNetVitkMhkkkhblYIVCAbvd3mHnrVEyWLX1aKuGxUfx3LxcnKoygfV4sWrrUTx7/7UdYvx2psw5QfRoglY9p41Ph1YdRklRp+AWngD/+PnPZz9j+oQBWF1cyqUgi8VATZMDkVrZ1VH7QxAEQRBEWMIJW8mkYs7eSIxWYVaeAc++8S23zcIZQ7F2G99XCNTCjsmKx5KHx6DW5IRaxaC2wY4X//M9r4tCYrQKVXU21DY6sGnXSTxwW5agfZORGsk5p8HnabaynHCUkC0jWOMc9BlaNYMpY/rB7vRg1dYDXRJM6/aO7Ouvv45NmzbhV7/6FaRSKW655RZMnToVQ4cObde+8fHxyM/P572uUqnAsiy8Xi/nGDscDqhUqos+v+ho4T5Ix5rz1YNxsh7UNNqxYmMJ8selY+0XpWA9XsTGaC/6uK1x+USCD29CtAaxsR3Tq6m7ERt7+feNCKWn3NdwY681Z863KPKt234M08enh/Sb89fIWttMDQpuoZU3KhUxejX6xl362Oop97k99KZrAXrf9XQk7Rl3vf3+9fbrA3r/NfbE62vvnEdcGpf7TERHaZCepEe92Y4orZKrAX3liQmoN9shZ6R45t//4zl7gTKn4AyxgN1hcboxJD0W6fDbMc+/+R1v31fX/YTf3n8t/tjs3JqtLNxuD2ZPGoRVW4/w7Ju+sRrExmjCnmdbab6xbVxrg9mB55d/h/zx6YL2k431ID0lKvxnd8A47PaO7HXXXYfrrrsOixcvxtdff41NmzbhwQcfhF6vx2233Yb8/HwkJycL7vvZZ5/h/PnzGDlyJAB/bexPP/2E48ePQyQS4dSpU+jfvz8A4MSJExgwYMBFn19dnQVeb2gYRimTCjqWUklz6w+R/28ZI0FNjfmij9samRjCq0FiX4d8fncjNlbbK6+rq2nPfe0uBkC4sdeac7UtDmptowPLiw5jwfQsPFYwHHaXGzF6BTZ9cwKTr+8vOGaDo6yBCSY1QXvhsdVGn9ne9Pz2pmsBuu/19JRx113vX0fR268P6P3XeLHX11PGHnHpdNQzLxOhuaWMD3V1Ft5rFTXCi+WtE00DKcmqIP8g2I4J3pd1e/C7ublwuNyI0ckhkYghPW/halsVMgkSY1Q4W2OBzc5ydojQeV7KtTqdLYKYQvaTSsjHabaNbC4PVHJpm6172jP2ur0jG0AqlWLixInQ6XTQ6/VYt24d3n//fbz55psYOXIkFi9ejLS0NN4+W7Zs4f19zz33YMKECZg7dy5sNhv+9re/YcmSJaiursbKlSvx+OOPd9j5atTSkLzzQqMB5+tt3ENaaDRwfaYum6tJ5pwgLoLWtSsxegVcrA+vrNnHjc0H87NwttYiOGY37jrJfVZg7PaNVrU9tkh8jSAIgiCIZgK2iFbNYGJOCiACxCIRDCl6zkYJ2B1JsRqeDR+uBvdYZRNWFx/l2RiDkiLQJ0oFi4NFg9mFF97+Prwd0saC+8VcU6BGd41QrW3w53WCbSTy+Xzd3qzav38/Nm7ciK1bt8JsNuOGG27A1KlTMXbsWFgsFvzud7/D8ePHL9g+J9iRbWpqwh/+8Ad88803YBgG99xzDxYsWHDR5xZuhazRzqKmwQaPVwS70w2lQgqpGGgwO6GQSdBocaFPtBrpfbRk2F4CvX3FuKvojRHZ1j+crfumAf4J4Q8LroPJ4oTHK8KpqiYwUjFUcine3VjC1bfcd+tgeL0+JEar2vzBN9lZPPXvXSHHCNSL9KbntzddC9B9r6enjLvuev86it5+fUDvv0aKyF5ltMNZuyLPvAgoO2vG6RoLb8H8nlsGQSQClHLGr1qskUGj8Ae5TDYWTTYXbE43ztXaePvNnjQIn35TBgCYmJMCsRjIyYjjesy2tkNi9ArkjUrFgKQIxEQooFNJUVJ+mU5lkH2lVTPIG5WK5HgN+karBINpF7KNWtMrIrI33HADlx78//7f/8NNN90EjaalTiAiIgJTpkzB4sWLL/hZ77//Pm+/v/3tb51yzgDgYD1otLBoMDvh9fkgFonQJ0aFmEgVHE4Wg/tFIUorA7zNO1zmqghBEGFola3g9gj3TatrdEAiEeMfH/7IrZj6fG48VjgcUhHQZGPx93Y2Nm+0uKBVM8jPSef6wm3fW0HiawRBEARxpbjcCGBH2uY+IFavwMvNdgTgtz3e33wEv5ubC41cAp2agcnq7ysrEomwbP0BjM1OQtHXZX6borltoFgkgtfrdyCCuy1s2FHGXV+wCGygv2xwxPSJO4ejusGG/PHpUMjEEEGEyvNmxEUqOWe4PdcUNhs0jG3U0cK03d6Rveuuu3DbbbchPj4+7Dbjx4/Hzp07r+BZXRgfAIfLw0V+AqsnDWYnABFqGx2IiVAiMzUCFrsbJ6rMeP3jA5SGSBCdQZD0e53FJZiiU9Noh04tg1bNhPzgP3v/KJyoMiN/fDoAv1PaliJfVIQCU8b0C0lTjtLKr9glEwRBEMRVR5DzqVYyWLml5NLUdDshDTacI+d2e6CLVIRESOdOHQxVc99WZ6OHE4WK0SvwwK2DMXdqFv754b6Q63tx4WjIZP4SR68PkDNiFO8u5xxhpVyCc/V2np1TaDRg254KnjPcXme2va11wqVIX04bUuFeNt2IDz/8EHJ5qPFXXV2N0aNHA/C3zpHJLr8Xa0fi84JTDQMC7XeOID5azf136dr9OFNrx65D1ZwTCwBaNYPK8xacOGeByeHmIjoEQVw+Tpcbc6cO9gs5wf8j+sjtQ6FRMqiutyNvVCqvobhWzeBcvQ0bdhzH2m2lKPqqDJPH9INWzaDW7BQcn16Pl3NigRZJfUoLIwiCIIhOotn5fOrfu/D827vx7Bvfwpibihi9gtvEyXpQa3Kiosbapo1tsrGcUxnYb+na/TDZ2Es+vYAjF0zAkRM63tv/PQyxWMzbJ0bvXyh/Zc1+nDxrEnSMq+vt+P1b32F1sd9mSYhWw5ibiqKvy7B2WymcLm+Ij7K6uBQTc1I65DrDEWhTFGx/BfetvRS6ZUT2iy++wA8//AAAOHv2LJYuXQqFQsHbpqKioitOrd3YHKzgw+XxeHn/rWm0w+trSXUUCv9TdJYgOg6NSoYfvjmBp+4diZNnm5CWoEN5tRlrikuhVTO4d/I1vLE7MScFbxUd5v3gr2nu83a8sglOpydkfFJfZ4IgCOKqpAtL5YScwTXFpbwWN3JGguOn+SJJ0VGhrY06bB4Puh9REQrBDiM6FYOK88LKxK2FKPNGpfIWyoUinKfPW3j3QAQRb4E+2O8IPlbAqe80e8UHZKZG4MUFo9FgcSJSI0e0LqjM8hLolo7soEGDsGLFCvh8Pvh8Pvz8889gmJabKRKJoFKp8Je//KULz7JtFDKJ4MMlFou4NjxyRgKtioFcpuXC/0qZJCSSc6WaChPE1YBOKcXk6/vjVFUTEqLV+OvKH7geaM5GD0wWJ3/siiD4gx8fpcIHW0tgtrIh47Mz0mcIgiAIolvTxYr94ZzPQIub1t0IAjZ2epIeMjHfAY+KUFz+PC5wP341e4RgTWk4u8HFerH9hwosKshGZbUZaYlabhshteC5Uwfz+tICwNlaS8h9aavdoJyRQK1ow+e41MUKES5fYKoV3dKR7du3L9577z0AwOOPP44XXniBJ/DUE1AqwrffKTQaIJWI8eQ9I2GyOrFs/UHeA6hVM3A2tjxcFMkhiA4g6IeXYSTw+oDKajNSEjQY3C8Ki2ZlQyGXoORELZ68ZySOVTb4F5fkwotSSoUUE0emCIo4iUUIaUo+e9KgNpuOEwRBEESXcpnR1HDpuFcqGBPOGczJiMOg1EhIpRL8c/WPqG10cO87WQ+abA7U1jtCHKxfzR7BiTOFbSnTBsH3I0avwMScFJSdbYJeK0dKrJr7HJOdhcXO4tE7huHVdT9xxyswGvDtwbPIG5UKh9MDrw9oMDuQmarHrWPT4XB6oFZJMX96FhQyafP1isFI+JWjbo+Pd1+2760I227Qb69kwMm6AQg47eGUimPUF3xeOuP56JaObDDff/89Tp48iSFDhnT1qVwUCrkEsZFKrimxWCRCbKQS0RFy1DU5oVRIcKyiEau2Hg3Jh58+YQBWFx/lPosiOQRxmQisis7Lz8KQdA1iI1X407t7uBY7d9xowF/f38tt98jtQ3H3LYOwcvMR3r5vFR2E2cpiXn4WvD6gzuryK/15AZPVBUYq4o1/RiqCyeaCRt7tf3YJgiCIq40OiKZ2dVlNoAaz9TVEa2WI1shgcrhhtvJrP+WMBFKxJKyDJajI2xatFs21agZaMMLqwqkRvAhlYrQKz95/LUw2FyqrLfj24Fn8YlgSb1H8/2YPhzE3DUvXtFzjgulD8NnOMpSUN3I2yvY95RgyIA5iMWBI0WP+tCy8+ckhOFkPzFYWcpkEd98yCBqlDA1mv2OfNyoFhuRIrPviKIalRwteXsAZFRLGvNDzclWqFkdERMBisXT1aVw0ZqsbH2w5grHZSYAI8Hp9+GDLEfy/2SNQXW/D6fMWZKRE4r5bM9FgdmH73grUNjrgZD1IjtfwmiNf7AoQQRB8hFYB3yo6hOfmXYc3NxzkXh+bnYQ3gv52sh689tEB3DclE7+6awQkEjHsTjcnVBD4nPxx6Sj6ugwLZwzBsPQoyGVSrNhYwvvBljMSvLhg9BW+coIgCIK4MB0RLevyspq22sEgvKPrcLrDOlgpMep2KfICCLtortfI8PIHP4bc29/Pvw4rt5Tw2vUdPlmP64cmoG+0CkMGROMPb+3m7ef2IMROeWPDQSwqyEZJ+Q9wsh6s//IYCm/KwL8/aumG8vDMIXh89gicOtsErxdYv+M4bhmdhmWbD4R8X7+bmwvW40PpWRMitXKIRD6IIIbVwYKRSrgWhQFtkcC5V563IDlOHXbBvjOej27vyObm5mLBggW47rrrkJycHKJg/OSTT3bRmbWBCGgyO1FVZ+PlqcfoFTh73oq1247xVlHUCi9mTBiA9TuOw2xl0TdadfErQARBhCXcKmC9yc77EY6PVIVsp1UzUCmkOH2e38T8wWlZ2PrdKRyrbOLqaJetP4gXF4yGNYzYm9XBIlpD2RUEQRBE96IjomXhHMUrase21Q4mjKPr8oo6xMEKjlYG7Iq6Jgdi9Qqu9Q0ALni1v7QGt43tD9btxaqtR7lU3fJzFiTFqmF3hDrY9jBOt8PV8trY7CTOiQ28/++PD+LxO0cgPkqN6nob0hK06NcngtdWMBBQazQ78K+1P3FR4ttvNHCL/gHn3OVyC0ZlE6JVGNovUvD77ozno9s7ssePH8ewYcNgt9tRWsovXhaJume9mcnGQq8LXXXIG5WKZesPhKyiTJ8wAF6vD7f9oj90ahl0agbwov0rQAG6UCmOILoz4VYBIzRyXr/XQmOG4LitqrNzPaEB/9hd/skhPH7nCKzYeBhyRsy9fr7Rjr4xahJ7IgiCIHoMHRItu0BE9IrRlj0s4OgmxqjbdrDaaV83WlyCzt2C6UOwc/9pVNXZuNrX4t3l8HoBk5XFhh3HBfd75r5RId+JUiEV/J4UspYWPWIxeM404HdUT1U1YXVxKRKjVSi8KQNL3mspoyowGrBp10mYrSxOBykoj81O4mWuBTLRfnv/tSHtCp2sB69/fCB8FD/o+bCxHqgYyWU/H93ekX3//fe7+hQumkarCyIxQpTE4qNCoz1O1gOvz4fVxaV4es5IvLnhIPol5Fx8rngXK8URRHdGaBVw7tTBqK638lTCt+0pDxFAiI9SoapOWBb/VFUT5kwZjKpaf/mDnJFABBHEInT9qjRBEARBtJMOi5a1FRG9ElyCPSwWi8I74BfxeXqtXNC5e2PDQa4FkJP1twT67f3XorSiAX1i1bxU3eD9TlWZQmwSr9eDBdOHcOnFAUf56x8rAfjtEENKJOSMJETMKUDetSkhEdtAW8H4KCU+2HqEdz+F7J9jlQ1IitMIvneuwQ6IRMIOf/PzkZ4ShZoa82U/H93ekQX8vWQ/+OADnDx5Es8//zy++eYbpKenY9iwYV19aoKoFQxYrxfFu8uRPy4dMkaMxBg113Kn9SoKfP4v3uZwo6rOdklFz12tFEcQ3Zrm3mXP3DcKx083YmByJD7cWoKbx/TjjcfaRgc27jqJZ+4bhbomB8432NFgtkMsEk47YqRi+OCDTi1HoTEDyQka7Dl8Frpr0xChZrg0YyoRIAiCILo13SWaeplcij3s9frCRlwv5vN0SimS44WdO4j4f/98sg6ri0tbnEwBh/HTb07gvinX8IQjFTIGG78pxaKCbDhcHihkEny2swx3TsrE6CF9ca7ehvMNtpBWnquLSzErbyAAQK9RCEZsU+I10GlkgoJYre2fhGg1ItQywfdOnDHhHx/uuyIBtW7vyP7000+47777MGLECOzevRtOpxOHDh3C4sWL8eqrr2LChAldfYohOF1uOD1eGHNTUby7HMbcVCxd48+Zb72yEgjlB4ziS00/7GqlOILo7pisLKdOPDA5Arde3w8KmRSJ0SpOlA0Adu47DYudxbl6G9ZuK0WMXoEZEwaEjN27bxkEqViEf364j3ttzpRMjMiIxwtv7+at3AbL7BMEQRBEt6Sro6kdwEXbwyLg24NV+MeH/DY7mSkRAIBak7P9n+dD2NKi4Hvpj6y2fNbq4lI8VjA8ZD+zlUVdkwNerw9iMZCWqMPp82aUlDeipPwH3qEbzA7UNtmxbU857rklU/Ccnaz/oBEahldWFXCmdSoGn+w43tyZwa9wvHPf6ZAI8Lz8LKzcXALW4w3r11ypgFq3d2T/+te/4qGHHsL8+fMxfPhwAMDixYsRFRWFf/7zn93SkdWoZGDcHuw5XIWFM4Zi2foDXJG3Dz7MnpSB+CgVTlWZuXz02ZMGQSIWX3L6YZcrxRFENyd4cjtW2YTaJgf2/nwqRMTgwWlZkMskEItEnJNrc7iRHK/Fr+8aAZfbi6o6KyRiEd4NUiZ2sh6s2FiCZ+4bhfnThsDJsrA7Pag8b0ZcpNLfmqcHGgUEQRAE0Sl0grbLxdrDJhvLObEAP+J6ptaGyvOW9n+eCKhpsIc4dwtmDMG6baXcvnOmZMLudGNWnj/dd/veCrhYD+ZOHYy3/3uY51wePF6DG0amNPeR9SElQcc7nxi9AnmjUuHx+GBI0UOrGgiFTCq4TXyUqvmYIsGI7XPzcnGwrB5NVhceKxgOH3zQqmUwWRx48p6ROFbZgOR4LVZuLkFVnQ0AsHHXSUyfMACpiVqcPGPCpl0nuT69VyKg1u0d2Z9//hl//vOfQ17Pz8/H8uXLu+CMLoxOKYXNK4IxNw2nqppgzE3l1coWGA2oa7QDAO6alIkGswOMVASJBJccgu8WSnEE0Y1pPbk5WS+GDIgLETFY/skhPD//OqT31SEmYiCWN69KBpxcj8eLxGg1vD7hupGSU/XYtqcCU8b04xTKuZ5xVLNOEARBEJ2m7XKx9nC4CG6tyckpELfWvAn3eSYbi5dX/ehP220OYIlFIgxMisBTd+fA4mDBMFJUnDNzLfoCDmuT1YlPvznBtchJjtfiy70VyM3qw+sZu3DGEDxWmI1XVvvPrXVk9aGZQ/HJjmPcOQtt8+gdwwSvuabRjvxx6RCLAY2KwYdbSzDymgRs+74Cj9w+FIP7R8NiZzknFvCXZG3bU45Hbh+Goq/LrnhATdypn94BREZGoqKiIuT1gwcPIjpauFlvl+MDzGY31n1RirTECLhYD/LHpyNGr+AKqqP1Sni9PlTXWzEgKQI7952GTCpFxXkrTA43L5ceIsBkZ1FRI/Be0DEDtQ3Pz8vFkofHkNFMEEEEJrdAD1i1Qoq0RC3yx6djVp4BMXoFYpol8qtqrPD4wDmxQIuTq1HJUFVnxenmVdpg5IwEaYk63qQR2Hfp2v0w2fh1JwRBEARxNRKu9vSy58mLtIcDi9zByBkJFHKp36FtdGDTrpPIH+e3FX43N7fl81rZ541WF7fP2i9KsXZbKVYXH0V1gx06NYMGswv7jtZg/ZfHkD8uHXOmZGJRQTa8Ph/6943AlOv7oarGArWSQWW1BRNHpnIpvoF7tGz9QURqFZgzJRP/r3AEnK18jNc/PoAhA+K4c77/1sEh9siZGqvgNUslYhR9XQYZI8HrH/+EIQPikNYnAjNuGIgX3tmD373xLcqrzCH75o1KxZsbDqLAaODeCzjMOlXnljd2+4jsXXfdhcWLF+P//u//AAAlJSX48ssv8dprr2Hu3LldfHbhsdpZGHNTuZq84LzxQJ+mwMpFYIXlVFUTGi0uiEUipPfRIb2PFsBFrFj1gtoGgug0giY3i4NFvdmFV4JWOWdPygAjFXOrpIVGg+CKpcPlQWKMGht2HA9ZpZ07dTBWbPwZMycOhFbNwNno4e1LNesEQRAE0cnaLhdhD+uUUjx+54iQGlmdiuGyuAKOqZyRYMzg+LBqxkLtcuSMBMcrm8BIxHh13U8ovMkQoqETbId8+r8TAIApY/rBB5/gPWowO6CQSXl6HME+hlgM7pxn5fFtmRi9AoxUhEfvGIYzNVZs21MOs5XFg9OyEK1X4Jd3DMP5RhtYjxdiMSAVi3jOtFB3h+R4DarqbJzzDJH/nkdegZKqbu/Izp07F2q1Gn/7299gt9uxaNEixMTE4KGHHsKcOXO6+vSEEQFqJcOpFgciqMW7yzExJwVFX5ehrskRssIyfcIArN3WomAWH+WP2pIaMUF0EL6W/swvvLOHN65WbT2K6RMGcK95fcJKfdV1NhR9XYZCowG7Dp5FodGAuCgVnC4P1EoGrMeL5Z8cwvQJA7C6+ChvX6pZJwiCIIgO0HbpqPpaHzB6SCISIlupNSO0jV6h0YCaRgd0KkYworxs/QE8escwvLrupxAHE81OaVykCkvX7Ef+uPSQdjurth7FrLyBcLq8cLIeRIa5R5FaBZ5f/R1v3zXFpcgfl46ir8uQlhjB7RfcdSFGrwjpVbtwxlBEaGTweLw4XFaHvnFa7Dl8DlPG9EP/PjrUtxK7CnR3+N3cXLjdHv/31XyMgPMMAInRKozKjENFjbXD6p+F6PaOLMuyKCwsRGFhIWw2GzweD7RabVefVpuYbCxsTlawNlYiBgqNBsgYfla3k/UXcQf+vbq4FBmpkXC5PB27YtUJhfUE0dMIpP8EEzwGAWDf0WosnDkUyz4+IKjGt7q4FLMnZcDj9fFWVAPbJESpuMmDatYJgiAIooXL0nYRiIY+escwDE7TA96LPxexWCQYwU2OU3Otb+DzCxuZray/RZFARLmqzoZIrQy/m5uLA8drAR+4KKmM8Xcmqapt7ksfpj9rdIQSrzfbHSfPNAoqBpdWNAjuKxYDD80ciqKvjnGBtAg1w6kQC/WqXbb+AC8inRitwoPThsBkdUEmlyJG7Be+DK6LNVtZaOQSQC5Bo8WFqAgF77tMjPaLSj37xrcdWv8sRLd3ZK+//npMmjQJt956K3Jzc7v6dNpFo8UFtYIJeVj8DZBHYena/Zh90yDePq2luf2pA04kx2k6To24kwrrCaJHIQJEYfrCikX+9IkYvQKjh/TB2uKjnPBBWmIEPv6ylKfG169PBP74n+9Dxvn0CQOQEKPCkkf8k11P7cdHEARBEJ3CZfStFYqGvrruJzxz3ygkx6g6bK6tNzl5mVUBGq2usBFljYIBRCIUfdUifBSjV0ApkzaXLHl5daSt9z9XZ+NeG3lNAgAf19teLpPgk6+OY3hGvOC+1/SLhtfrxXVD+mDV1qOc0NPnO08gf1w6EqJVgg7wqaomLmJrzE3Fkvf2tohc5mfhvimZeHejX6k44DvUNDrw8qqWdOzf3DsSLy4YjTqTA3qtHM+9yY8Yd1Y2abd3ZF944QVs3rwZCxcuhFarxeTJk3HrrbciKyurq08tLHqtHNWNdsGHpb7JCbOVRYxeiUJjBtfgOELN4OMdx7lt5YwEldUW9I1WtX/F6gLR1ktpEk0QvQ2TjcWy9QdC6lsfmjmUWzENXrUMpMnIGQnyx6WjwezExJwUiMWAxS4c2U1L1GLDl8dwpzEDKbFqmGwsKs4Hpde0hjIlCIIgiKuNS9R2CVdfW3KqHhEqpsNs2rbSn9uMKIuAhTOGYNl6fyQ1b1Qq3t1YwjmWc6cOFtTZWDhjKD7YWgIAzQKUKvxlxR7kj0/H2ub2PQDQYHaG7Dt/+hB4PF6IREBitBK/vf9a2BwsTlWZwXq8WPtFKeZMyeR8D8Df9sdsZbmetkIR2+VFh/BYwXD8vztHwMV64HR5oFPLcPJsIxYVZKOq1gqJRITyagtWbT3SpsZIZ+iEdHtHdtKkSZg0aRLsdju2b9+OLVu24J577kF8fDxuvfVWPProo119iiHolFKY7VLBh1+nkeHRO4bC5nBhw47jLQ/gtCwwEjG3XSA9cVCqvn0rVu2ItnZKYT0Z4EQPo9HiChElyEqPxskzTQB8WFSQDUA45UcuE/PqSwqNGYLj/FSVGblZfeDy+lBS2QSRSIQNO46h4pwFi2ZlI1KvhsneMm5qGuy8lU3KlCAIgiAIYcI5mF4vOtRZulD6c2ZaBH4//zpYbC5olDI4XG6Y7G6IRcDabaWcjRGrV8LJeuBs9GDFphLE6BWYmJOCvrFqPHPfKO46xCJ/2i7gF3uyOVjuveDrrW10oHh3OZ65bxTqTQ5ERyjx4dYSlJQ3cmm9f1v1PbRqBnmjUnH3zZmwOVzweIHVO1qc30Kjv2OD2cbil3dkQyGXCNo+LtaDqlorl/IcSHEO9JMtNGZgw44WBzicxohUKoHJ4RZe0L9Eur0jG0CpVGLKlCnIysrCoEGD8Pbbb2P58uXd0pEFAKVCgtmTBnGrE341skGorDYjIOcVvOLx5ieHsHhuLs7V2aCUS7Dhq+MwW1l/CnE7VqzaE2297ML61lCqMtEDEZLa93l93AqlTCqGvDkFyOvzr1jWNjogZyQYkKTnlMgBYfW+wCKU2cpygk+BH/3Pd59q7ksn41KSA5NJQOWYMiUIgiAIIjw6pVRQVKl4dznGZMXzFoovK8DSVvqzGPjpeD3WbisN0cR5aOZQLgoKALPyDCGOaNHXZcgfl461X5Q2O4LHUXiTAYVGAz7fXQ61ksH5Bn8q7/a9FZg9KQOrth7ljjF9wgD8a91+TMxJ4SK/AHDrL/qhut6OO24ciKR4LVZ8djjI2TzO8xNWF5fiyXty8Oq6A20uzkfq5Dzbx8l68FbRIe78vT6+uvL2vRUhEeNCowH/XP0jzFYWi2ZlIzpKc4lfCp8e4chWVlZi8+bN2Lx5M0pLSzFq1Cj85je/wc0339zVpyaIvweWCFFaGVckLhaJEKmV4dNvTvijMs1RnwBO1oODZbVYXdyiWjxroqbd9QLtibZeVmF9mOukVGWip6FTSvGr2SNwusbCc0AfuX0oXKwHFrsbL3/wY8jkaMxNxYmzTYLqfY8VZMPu9KC63sYJOwDgCbi9VXQIj985HH95by9+PlkXMpkEJoTAa9SqhyAIgiAE8AGD0/R45r5RKDlVD6/X3xnk7pszQ2o3uQALLjGDMDiYFJSFqFIyWLb+oKD68OsfH+B1Lti+tyLsojcAzhHc+L+TmDFhABbOGIo/vbsHWjWD2ZMysOXbU2CkYkyfMABSiQh9YjTQqaT+6G2zaFSMXoEpY/pBpWDw3qYjIcdp7WwGzvVYZWObi/MLpg8B6/YK7hvoygKEjxhb7SzO1duwMcg2Wrp2P9KT9JCJcNl0e0d2xowZKCkpQWZmJqZOnYrJkycjPj6+q0+rTRotLojEIrz60YGQVY38cek4VtkEp4v/QARSIoAWw/a5ebkw2d3tGmztirZeRmE9j+aBfK7Bjvzx6VzEKnDuZIAT3RofEKtXcBMd4H9uz9b6Fflar1iuKS7FYwXDseGrY5g2fkBIpNZs9degiMXgHFFAWMDN7fEhMVrFjfXg91pPCNSqhyAIgiDC4AWSY1SIUDFotLowJiseYrEIv371f7w5fOWWEjxx5wicb7SjstrC9U296AzCoCxErZrBnMnXcHO3kJOXHK9BYrQKY7OTIBYDA1P0WPLIGNSanDhe2cRb9BYHta9Zv+M47r91MJeK/M1PZ/DIHcNgsrggZ6RosjrwzmeHwEjEmJefhbomBxKjVTDmpsLJennR2YANkz8uHYBwum+wPRJYnF9UkA2RCNBrFKisbgLACNbWBu6dkKN+U24q/rVuP8xWFgVGQ8j9qTfbkaBTtPPmh6fbO7Ljx4/Hyy+/jP79+3f1qbQbvVaOmqA+sQGcrIcTk4nQyHitOYJXZgLb7j9Wi6Kvyto12MQihDxEhUYDxOJWyx2XWFjPIZBOHNyEmQxwoicQnMEQqFWJ1SsBCE9IEokIN7VqXB4cqS3eXY45UwbzxnSh0YCNQWM6oIo8L38I3io6yDtGsGJyoI2ATs1cUhsBgiAI4iriatYqaWXTVtRYoVUzyM/x16YqZGIoZFJeG5iAzXqxGYTBWYj5Oek4U2NtU324b4wKsycNakl/3tEcHU6NgM/jA0alchmbg1L0XMYkAOg1/uCUVs3ghpxkHKto5Nn3D07LwncHzyIuUgmdmkFW/2F47aOfMHZ4UtjI6b6j1Xj8zhE4VdUErw/Yue80ZtwwEOu/PMbb3mxlUVltQWZaJA4cr8UPR87hF8OSeLo+hUYD4qJV+OzrMm6fpFgNljzc7KifbuJFYNe0yjqTMxJEaZXoiAe12zuyjz32GJxOJ9atW4fjx4/D4/EgPT0dU6ZMgU6n6+rTE0SnkqLRIhZ8sPvEaDB70iAwUjHyx6WjX18dYnQK/P3DH7kvPLAtfO1P1603ObExSLwm0O+qXx8dNPJWX/Nl/OgJpRMHN2GmXplETyCQwaBVM+0Sb/J4fHir6HDIc7+oIBsrN5fgjhsN+HKvP43m8Ml6aFUMItQyTrQhoCi4fW858q5NxZwpg7mebYHUpwitDIUwwOsFVm09grtvzqR6c4IgCCI8pFXCIyrCn17bOqgTrEER7FRdTAYhr4RP5E/DDSxoC9WDWhxuzokFWuz5lx69PuSzvT4f+saq8OQ9ORCLRVi5+WcUGA1wsV6YrGxIptjyTw7hyXtGcnWrAQcd8AnaMHJGjDFD+vDsjoUzhuJ/P53GzaPTeLW3hUYDYiIUWLmlBBYbi4dmDgtpM7i6uBQFRgNuHtMfd90sg1wmhdvrQ63JCQAhLYucrL/HbeB8Fs3KRmKMGnV1lnZ/t+Ho9o7syZMnMXfuXNhsNlxzzTXwer347LPP8Nprr+GDDz5AampqV59iCCYrizc2hLb3mJefBaVCgk+/KcPc27IgFosgFonAMGLcdfMg/GvtT7xtP999CkD70nX1WjnMVjYktTEkOnqZP3rhanH799X5nW1yYokegE4pxcO3D0VVrY1X2yJUH1JoNKC6wcrVoEzMSeHSgH0+H8ZmJ2HdF6VYOGNo85gGonUKfPVjJRYVZMPh9EApl+CrHysxcWQqpBIx+sZq8NKj16Pe7IReLQtJhwJA9eYEQRBEm5BWCR+vx8vN30B4DQqILr6Ep3UJn9nKYtOuk5iYkwKRCHisYDhYjwdnzluxcddJ5LEpgvay1eXB6RoL55wmRqsQE6HAkvd/4OyOOVMy4fH6EB+lgkgEzhEP/pxjlQ0hi+uFRkOI7zF36mBEauWc9kdg+2XrDyB/XDq++ekMHr9zOFi3F1E6BSrOmbDq86O4KTcVPoCn6RF8fK/Xh39/5O/d+/PJhqDWO8IBgZyMOAxKjeTKGkMyRi+Rbu/I/vGPf0RmZiZefvllKJX+1D+bzYannnoKf/7zn7Fs2bIuPsNQhNp7wAeoFVLIZBKYrSy0ahm++rESq4ttzQ2HB+PZB65Fo9kJnVqGTf87gXHDkzDcEA+xGFDKpThbb4NGJROMoLZXyOlyf/TC1eImRCr9+5MTS3RngrIRYiKU8Hr5qcTB9SGV1WZkpkX5VQFHpnA1KPyeb0OgVEhgzE2BRAwcOlEHrw/4dGcZJo7ipyLPy8/C+5t/5jUUDywgVdRYBSeKRqsLOhVz9aaNEQRBEGHplLaKPZhw96O1BoVYJLroDMJgOzu4JnTtF6UhZXZA+BY0bjff2R6bnYTlRYe4v7VqBk6XJ2RBPThVt3Vta+A6nawH2/ZUYPqEAUiO16C8yozi78tx83X9BO9LaqIWiTEq/OPDfbzILuvxIjVBhyXv70X++HTB60hN0EGrZlDX5OCcWEA4ILBoVjaitTJEa5oXDjrQhun2juzevXuxbt06zokFAJVKhUcffRR33nlnF55ZeALOXm2jg5cPPn3CAAzXK1FgNOC1dfthzE3l6mLNNhbLi77nGb3ROjmW/+8Qqups2LCjjEthuPvmTGSmRsBk5Ru3wUJOagUDZ3M/q2DD93J/9IQc5kfvGAaLnQVEIjKyie6LQDbCE7NHhPxAm60syqvMWPtFKX7/4HUwW1ls31uBeVOHcGk5QGBF8yBm5Q3E2m3HUGg0YNsevwDCk3fn4K8rf+BtGyxV33oBKdwCUZRWTmljBEEQhCAd3laxhxPufgRrUDw0cyj6J2qhUYSxV9sov+sbo8Kv786BSimFUibFwJRIOFxuRKhl+Psqf4lgIHNLzojxmzmj8MaGA2A9XuSNSkVyvAYOl5tvh7cSi5qYkyIYVQ5u5/fw7UPRaHZgVp6B1yIwOV6LvFEpSEvUgZGKsHP/aRhzU1HTaBe8LwAExaGmTxgAm5NF/rh0yKRiPHnPSLxVdJBbiC80GlDbaMNtv+gPuYz/uYGAwO/m5sLt9ly6sGw76faObEREBMxmc8jrZrMZDNM9V5t0aikWzhjCPRzBKzX9++rw7cGzqKqz8ZTEWj+0bxUdwjP3jcLY7CTO8A1sv3Ttfjxz3yhebnzAuNWpGJypteHPK/YKGr4X/NG7UP1sK+VjkUiEZesPCEaZCKI7IZSN8O5nhzEvPwtvNa+GBo9VOSOBQi7lVhZPnzcLLgJF6ZTQqhle+tKpc6YLrgoHLyCFy6jwen2UNkYQBEEI0tFtFXs64e5Hcpwag1L1fKcqjBMruHicGoGScv7rgShpQAH5gVsH453PDodkbj12ZzZsdjeWf3KozdTb4PpbIfshOV6DxwqyoVHK8M6nhzi7O1h48j+fHeac2t8vuA7z8ofgr+/vhVbNhKQcFxgNON9gEzxWSrwGdqcbRV+X8QJsFrsLdoeHu+6n7h2JymqzYEBAI5dAp29WJe7EZ7HbO7JGoxHPP/88/vKXv+Caa64BABw6dAh/+MMfYDQau/jshKlrcsFkdXE9ZOEDNjV/6TJGgtFD+qDB7PSnCDQbtkIPUr3JEWL4Bh7wU1VNLWnLAFZuKcFTd+cAQJuGb5s/emhn/WyzShwAPPXvXWRkEz0CoWyEqjob9BoZnpg9Ak7Wg7M1Vm6szsvPQk2DFQCwqCAbSrlUcPKprrdhYk6KP/tC5FdB7hunFV79DBpHckYCtaJFPVyoNVbF+TZSjmmMEQRBXN10VFvF3kIb94MTPm3j3oQrv3txweiQ14MXrwO27xN3juAUkgPb1dTbYXd6kD/eH7j64cg5Xurtzn2n8eC0LM7RDbTiaW0/lFf5g3pFX4dGUH97/7V4f/PPvFaY52pt8DWLxjobPbxyx9QELf7z2WFMHJkieCypVIw31xziHSc4qyxAk8WF+Cglfn13DkxWFxRyCWoa7OgTrb5iz2G3d2Qff/xxLFq0CDNmzIBM5o8asiwLo9GIp59+uovPTpg6kwOffnOCp4YaWM3weLw8lV/4ALFY+KGVM9IQwxc+IDFaBaWcwZZvy7n+VHNuHQw764bTKdy0mDN8ww1yAHVmFyrPm3m9YdtyTKk2g+hJhMtGcLm9eGnlDxiYHIHbJxqQNyoFXi+wfU85Jo3uh893+8dZdIQMC2cOxbKPD4REb2++Lg2FxgzE6pV44NbBKNpxDHOmZMJkZTl5/eR4DVZuLuGOW2A0wMm6AbTUjLRujUVpYwRBEESbXG5bxd7GZdyPcHZtnUm4paZSIcGsGw2ACLA6PWDdHt52MXoFlHIpTxW4wGjAroNnsaggG+XnzIAP+O7gWTx170iUVjRgYIoe86dl4c1PWjLFAtHfvFHCAlI/n6zDmCF9MNwQj0idDH1iNDDbWGjVDGdDBMod5YwEj985AhNHpkAhE2POlEys2FjCHWvu1MGwOdyCxwkOriVGqxAbqUSj2YFTVU1cf97CVj1jO5tu78iq1Wq8/fbbOHbsGI4fPw65XI709PRuqVYcIDpCwamZBVY/xCIR+sap8O1PZ/0Pi0zMhekDojHBqcgP5mdBIvZh5/7TAMA9XHanGw/NHIrXPz4Qkr7wyB3DkJYgHAniGb6tBzna7g0bzjElI5voSQhlIwRSa+SMBMMN8Xj3s8PIuzYFeo0Cg/IyUF1vxW1j++PTnSdgzE2F1wfBTIukOC1P1v7uWwZBIhbx+q7Nn5aFh2YMQWllExJj1Fi5uQQjBuaEP2ERUNNgFxRNuKpX3AmCIAiiEwhn10brFCGvJ0aroFYwWP25f34u+qoMv5t7LQqNGX4bAYBSJsHb/w1t3Td7UkbLQUXAkAGxWPKevyTw13fn4KPtx/z1qYwYqQk6nK21YOLIFAxI0vM+f/tevy4HIxVDo5Lh+8PlmDgqlSs9TIxWCfoXKzYe5lKT77llEH6/4Do4nB7YHCwcTjeidG3XGidGq3DHjQa88PbuEL8hUM8bq1dckaBWt3dkAcDj8eDcuXOoqqqCWCyGWq1GSkoKRKKOkW7uaKK1MjxyxzC8tu4nbvWj0GhAXYMD43KSoVYpkByvhUrBoPysG40WF34qPY9n7huF2iYH4qNUOHPeDIlEjKfuycGZWhsqqy1Y+0WpPxe/IBtjs5N4bUOcrAevrfsJSx4ec9H1EhfqDRvOMaXajCvA1dzovKPxAZmpEXhx4WhU19tx+rwFm3adBCMRY8H0ITDbnIL91BQyCW7KTcXnu8tx29j+kDNinmP50MyhWLGRP1Gt3HwE0ycM4L325ieH8Ou7crDui2OYPmEAZuVlQCwRc6rmAHjft1rJ4J3PDoP1eHkLYslxanoGCIIgCKKDCWfXRutkIa8H94MH/GrDZadNvAXsBdOHhLTO0aoZ6NQyXleDhTNatquqtaKqzsal8AbEowYm62B1sLzPLzQaIJdJwLq9WP/lMSycMZRzYgF/+VRwqWNqghYrN5egqs4GwG+bbPzfScyQDeRphfzyjqGYPWkQp0YsZySYPSkDXq8PhUYDhg2MxfPLvwvxG2blDcT7m4/A6/P3lL0Stmu3d2QrKysxb948nD17Fn369IHX60VVVRUMBgPefPNNxMTEdPUphuIF4qKUvMhNoDB68bxc3kM4e1IGdu7zq4pV1Vnwn09L8Ku7RkCrkkMkEoF1+3gPHQBUVlsgFgvX1TZaXRddLxEulUIsRtuO6dVam3GlnEtqdN6xiMCJNWjVDPJGpWLubVlQKaTYua8SE0el4fdv8X+YAyuLyfEajM1OwoqNJdCqGZ5jGa2T88ZnYF+pRBTyGuv14tE7hiFSK8eKTT+j4pyl5TtF+MyI4JqUQan6llofgiAIgiA6hnB2rTf09Tqzk2c7T8xJ4bWhcbIevLHhIKc2HCBvVGqIUvCy9S3budxeXjS0ttGBnftPY1DaEPz7o30hNkqB0YDEGH97wLqm0BRoq8ONtdv8NsSsPEOIvTI2O4lzYgOf+691B7B4Xi7unTwIKoUM1fU2fPrNCZitLOZPHxK2t2yUTonEaBXEIhGOn27iVJY703bt9tbQc889h+TkZKxatQrR0dEAgPPnz+Ppp5/GH/7wByxdurSLz1CY+iYn78EN0BT04DtZD1ZtPYpZeQOxprgUi+fmYs6UTFTX2/D+Zv4qyKffnOCKuLftKccjtw8Ln9Z7kfUB4VIpcjLiEK2Vtb3/5dZm9LSI4xV0Lq9oo/Pm7+Hc8Rqo5NLu/z1cAsH309no4X5gX170CwwzxKPkVJim3z4fHC5/OUBg32DH8sl7cgTHT1KclvdZckYCEURYselnmK0sFs4cCpvNhcrzFiTHqQUVitcU8xu5B1KZKmqsPWO8EARBEERPQqD8zmRvsVNTYpuzolqLMoVRG46PUnHb+VvkaAS3S47XQM5IeD1qg6O/pRUNws6jVgG1QoY1xfvxWGF2iD3SWjwq5P0wgbGaBjv6xmlhd7oxuH8UtCopkuN1eP3jnzB2eFJY8cs5UwbDxbrxXrMmSIjt2sH2Zrd3ZPft24d169ZxTiwAxMXF4amnnuq2fWQhQtj88kidAgOTI3CssgmA/wvWaxRwsh6YbC707xuB597kR4UCzu77m48A8Mtax+gVXPqyYFrvRTiIYVMp2nJiO8IB7YERxyvpXF4xMa0e+D1cCmHvp8WFV9f9FLbpt1gkgsPJIi0xQvh9sZiTvw+Ir6X1iYBMKkJitIqrQ5k9KQMrNh7G/bcORvk5M9YWH8Xdt2Tis/+VICFaBb1GFjYzAvA7sbPyDJwiYm/9ngiCIAiiW9BGOx6xCJxmjZMNrzZcb7JzWVxDB8RAoxDugKBRMfj9/OtgtbM4fd6CJ2aPQNmZJsAHnD5vhtcX6oTKGQlkjATHKv1O7oYdx0NaCvZL1HBCUjJGjPumZOLdIHGnfn2EbRuNgsGfg9p8zp6UgapaM8ZmJ0EpD9X2CWSQzZ82BFYHi4kjUzjhWM52VTEdbm92e0c2KSkJx48fx4ABA3ivnzt3DnFxcV10Vm1jsrGQyfy58W9saPmS5+Vn4b2Nh3FTbhqAUzhW2dTcq1Lid3K1cpytEW63Ean192LyP0yDUHnegg+3HkH+uHSIxUBmWhSSY1WAFxfvmFxsinAHOT5XNOLYQVxJpeYrJabVE7+HSyHc/axpsMPJerB9bwUezM/C8iK+UmCMXoHICAU+2FQSMkHMnz4EDSY79hyuwvQJAzhRh8B4n3tbFkpPN0IsEiFCzSDv2hQ4nP4Jr9BogJwR4+5bBmHfkWrk5aah0GiA14eQBudP3zsS0TpFiKx/b/yeCIIgCKI7IGQfrdxSgvumXIOTVWZIJSI8VjgcUrEI0XoFkuM0PNt47tTBsDpYbP/BL8o0ZnC8YPCo0GjAv9buh9nK4qGZQ3HqbCMSotUo+srfx3VWngE7950O6QX70O1DIZUACdFqzn7YfciviOx0eZAQo0JVjRVvfthyrAfzs3Dv5EFosrKIUDOQSBBSD1toNKCm0cbV7QaCak/enYN3PvU7wZmpevz2/mtR3+RApE6Os7UW5I1KhVQixsdfHofZynLOrdnKQq+WdYq92e0d2XvvvRe///3vcerUKeTk5EAikeDw4cNYtmwZZs2aha+++orbdvz48V14pi00Wlxwe32QMSI8N+86nKuzQi6T4JOvjuNYZRNOnDVjUUE2lq7Zj0KjAU0WJ+6bkgmPxwe5TIJCYwa27SnnUonljAR6jRyz8gyAD/B6vXil+aEMpBzKGQleevR6eL3+AuvK8xbeA3jBB+UiUoQ76kHsie17rqRS85US0+qJ38OlEG7yaLT4HcbaRgfMdhdm5Q1EQrQaYrEICpkEb244iLHDkzBkQBzWf3mspX+zD/joi1LkXZuC2yca8NeVP/DGxFtFh7CoIBtrt5UiRq/AlDH9sHbbsVbHdsHr9WH8iGQuEyOwshlocL5ys79H9NXyPREEQRBEd0Bo3r0pNxVna60hoktVdVb0iVZjySNjQkRaC40GJMVquHaXMqm4WdlXiZpGOzY2dwkBgNc/PoCn54zEll0nOcd1+94KFORlcDaIWAwYUiKx9duTyMlM4C2iFxgNWLm5BLeN7Q+zleXa+AB+m2F5cz/YnftP4448A94uOowHbhssqOsTXNrkZD04droRTtaDGL0CowYn4o//+Z533K9+rIRSLsWUMf2wYlMJ1gR0RuL8114RJlh3OXZMt3dkf/e73wEA/vnPf4a89/rrr3P/FolEKCkpCdnmwIED+Mtf/oLS0lJoNBrMnDkTjz76KFiWxR//+Eds2bIFADBt2jQ8+eSTkEgkl33Oeq0cdpcHL638AfOnDcG/1u3nvR+ou5s+YQCiI+SIj1GjosqMPwTJWAd6RgUGQPk5E1esXWg0hDwIWjWDE1VmLsWhdQsdJ+tBrdnZIU5QRxnUPbF9zxVVar5CYlo98Xu4JFrdT6lUgn+u/hEAuMnC7vRL6OePT4dY1NI+B/DXkQQrCQZg3V6YbKzgmAD84grBSseB91YXl3ILWo8VZIfUxi4qyMbKzSW4++ZM//ceJm2p131PBEEQBHGptLf0LWg7l08EmRgh2wnZR/FRKryyZr/gfP7yqh/x4oLRnCJxgNXFpVjy8BjA56+3fXnVj1ykNWDbB3CyHhwtb8ANI1Px8Zel3OK52+3BvPwhOFbZAEYqhowRY9yIZN6xAvbDYwXDUVVnwcmzTYK2SWqiFsMM2fjDW7ubHdSmkPMI3KMAckYCr9f/74k5KSGdUwKaHqu2HsGigmzu9QFJEeifoAF8gFrBCNoxasWlL8Z3e0f2yJEjl7yv1WrFggUL8Mgjj+D9999HZWUl5s6di6ioKJw7dw7Hjx/H1q1b4XA4sHDhQrz99tuYP3/+ZZ+zTiXF+UY7tGoGMZEKwXTBSK0CZ85b8d7mI5yzGhxBDQyKymoLYiOV+GCL/z7IGQkGJkdCzkigVTOYmJMCiIC0RB3e3/Sz4EMVaAF0vLIJTqcHmakRMFkvMMjb+CHoKMenR7bvudJKzVeg0XmP/B4ulaD7aXK4Ybb6HdBNu05iUUE2zjfYMHfqYHy5twK3jWtpn7N9bwXmTxuCxGgVxmYncT/uO/edRmZalF8MSmBMnKuzouirMiycMVRwMnGx/vFud4a+JxGL8NTdOdz3cFV9TwRBEARxsbS39K2N2leefawKnXfFYpHgfO5w+ufzOlOocnBwsKd1MEjIdvB6gVNVTRhuiOdlXv5u7rXISo9GTYMdL7z9PfLHpwvbFm4PWLc3bF0tABw8XstFV1MTtIK+SqBvbKBF0OffneLun+DivajlXgT2i9HJAfgd+HqzA4/PHoEVn7X0sS0wGuBk3QAubVG+2zuyl0NVVRVGjBiBu+++GwCQlpYGo9GIH3/8Ebt378Yf//hH6PV6AMDChQvxj3/8o0McWZOVRZROjtt+kY4//aelUDqQLnj7jQZ8+vVxpCbqMXFkCgDg893lmJiTwgvh+3zA0AHReH/Tz5zxrJRJcK7Ogl/OygYjFePdVg/DpqD0hMBDFfweIxFj9qRBeLWVSBRvkF9ggFvsLB69Y1jIZ1y0Qd0ZTuGVUEG+As7lFSXoe7CxHqgYyVXhHAU7hrWNDlRWW7Bhx3GkJGhwU24aKs6ZeROAWOTD7Tca8GZQ3fv86UNwrs6KT74qw+xJGbwetI/eMRSNFhfyx6dDq2Jw7+RMOFwtjrHZykIp969ONlmd3HnF6BVcnQmCe2Vfre2uCIIgCKIdtLf0LVztq6B9nOqfdy0OFnJGGtIeB/Db2YEyJa1KFjbYY7KzYBgJ9/72vRUhda/B4pFqpQSzbjRALAYGJkfig80lGDIgDkVfl3GfL7TAXtdkR78+EXj3s8Mhnz936mCcb7DB6/Pva8xN5fW0DRx/5sSBiIlQYPEDuWiyOtFoceKOvAwseW8v9BoGhcYMfyoyWmwa+Pj3YtGsbOjUDNf6sHXtsN3hQfHucowYmHPJ37nI5/NdNWaQy+XCtGnTMH36dLz88sv44osvkJSUBAAoLS3F1KlTceDAAchk7V8VqKuzwOvl38KKGivUagbPvv5tyIP87APXwuPx4sRZU8iDKxIBKzaWcNv++q4caDUMXlr5A2obHYjRKzB5TL+Q/QLOq5yR8PLZ5YwEiwqyUV5lxvYf/Csss2408AZAYLvgQW6ys3jq37tCtnnmvlFco+XEaBUWzhgKn893cQZ1BzmasbFa1NSYQz77alDf7UwE76vANt0BobF30YgAi8MNk90Np8sNqUSMU1UmrNp6FFo1w403f00KP9UY8I+Lp+eMhIv1YvuectwwMhWnqpo4NeNVW49Aq2YwZUw/npT+vPwsMBKgyeqCTi2HVs3gpfd/hFbN4LZfpHOiC7xxpume7Xba88z0JLrr9fSUcddd719H0duvD+j913ix19dTxh7ht7+ff3t3yOvPz8tFSoy6ze3atI+D1HaF5vTZkzKw5dtTMOamYs/hKky+vn+IQyyTivHyqh9D9k+MVuHBaUP8acAuL3buP819zi3X9+d1J5k9KQM6tRyvrNkHABiYHIGbctNCRChdrBterw8yRor1Xx7jOiqk99XDZHMiUqNAk9WJGL0SL77zvaC9v3JLCfJGpaDB7ILX54NYJEJKggYxkQqcqbbyFIsLjQaoFFJ88lUZCowZiNTKoJIzsDpYqBUM/v7hj7z+tQF/pejrsjbt9PaMvV4dkQ3G5XLhiSeegEwmw+TJk/Hyyy9DqVRy7yuVSvh8PjgcjotyZKOjNaHH8olQed4knHrg8kDGiAVzyx8rGA4AnKHbZHPi7U8PYcqYfti462SbOelrv/C/Lha3RHSS4zU432DjnFggfL8oG+tBekoUAODc8RrBbUpO1XOvV9XZ8Kd39+CVJyagb1zoPRDC6/Xh24NV+MeHP3IP/+N3jsDoIYkQi0UX/oBWtH7Az5y3CK7EXcw5Et1n0r4QQmPvYvF6fSht9UwunDEEWjWD2kYHNu06ifxx6YiPUqG6wRZmXDSg6KsyPHz7UKzY6M+Q8E+I/jGZn5MeUh/7VtEhPHXPSGjVcqgUEvh8YjxWmA29Vo73N/7MpfsYc1O5xaPLHS+dSU95ZtpLb7uejqQ9466337/efn1A77/Gnnh9HTHn9XZcPmEtiYRoDWJjNW1u15Z9rPDKeH3oN+46iekTBiA9SQeZVAKzzYW7b8nkRF3vm6rEK09MQL3ZjiitEiIRsOhvO0L2D4g92RwuJMVpcfJsE8ZmJ6F4dzkWzBiKP7+7B1o1g/wcf52s3elBUnxLxHe4IZ5zYmP0CkzMSUFNgw0pCTp4vV4UfV2GOVMGcwvs9SYHbA4Wb27w7yOkueNkPahrcuCGnGTYHO4QUavoCAXnxAa2X11cimcfuBY3j06DWsHAYnPD6vCgut4Kp8uL228ciEazE07WX2S7fW8FBiRH4JUnJiAxRn1ZNs1V4cjW1NTgl7/8JQDgP//5D8TNjRkdDge3jd1uBwCoVKqL+myhFTKZGNAohVMLVHIpfmrOSw/GyXrAevwP1dABsSivasLHO46jttGB1c2qX1KJcF5+IJ1AzkiQMygOCdFqnuhTsHBUZlqU8HkxEm6FUiUX7nHFSMUhxz5XZ4FM1L4VQpOd5RyGwP7/+PBHJERevOy20IrquVphNbSLOcernastIiv0TC5bfxDTJwzA6uKjqG10YO0XpSg0ZoTtEQeff79/f3QA+ePSsf2HCsRHqVq2C1NLUlrZAK2KgZyR8lr+zMvPgtvrw3BDfMjC1aWOl86kt0Vvuuv19JRx113vX0fR268P6P3XSBHZ3otMDEEtCZnYx/vOhbZryz4+V2vhve63zY/i13fn4OWVLQvhBUYDLDYWcrEYMpEPCToFAF+IWm9g/4DYU8BW93qBhOZU4bLTjbzMsODF9kAv2IB9IZSx+cTsEag4Z8Fb/z2IiTkpiItScSVUgXMJV0OrU8sQH63ixKCAFof1mftHCdo0FhsLnVqGlz/4gXc/vvqxEjNvGIht31dwpZCFRgNSE3Rg4ENdnSXs99mesSe+4BY9nNLSUsycORNpaWl47733EBkZiYiICMTGxuLEiRPcdidOnEBaWhqk0o7x7a0OFrMnZXBF1YGUAJuD5f4Oxt/+w47VxaU4V2eFD0CkVo5ZNxpQeJMBQwdEIyVBi0JjBmL0Ct5+gZz0RbOyIZeKOScWCFJTm5WNFxeMRnKcyr9d0Hlx9a3NiEVo7nEpQYxegUJjBhbOGIqkOC137MDrbo8PJoebp2wWjrbUjjuCgAhVMKTqSoRFBJypE46y9olV88ZIcrwayfFqblwEXi8wGrD9hwpuvwiNDItmDUeUjv8sBv87MHZi9Sqk9YnAx18eC4nWThs/IKwD3FHjhSAIgiB6FUFaEs/Py8WSh8cIp6222u6VJyYgOTa8fRzOvqystvDm7zXFpVg4YyjPpgbC26eB83KyHthdHhR9XYZzdf5MysRoNfJGpYYsaC9bfxA2pxv549KRlqiFnJEIZmy++9lhPHz7UJitLNZ+UYrKajO8Ph/PrgjU6AZf88O3+8uZmsxO5I9Px6w8A2f7O1kPnM3ilq2vxedDSKR2TXEpxmYnYXnRIX8dL1r8Ek8HLcr06ohsQ0MDHnjgAUydOhVPPvkk772pU6fitddewzXXXAO3241ly5Zh2rRpHXJck41FhFqGmuY+UYHccplUDJWKESzuLjQaIGPEkDMSnG+wQymXYsaEdJxvcEApl+L3bwm35pk7dTCiIxRcDn/FeeGo5KET9Sj6qoxXuB5OMKbe5MTGXSdRaDRArWR4/akKjQbsOngWY4b04dUHPDRzKPr30UEjl4St4evsNi86lbRjRKiIqwKTjUVltUXwmZQ112/IGDGS4rRYsfEwWI8Xv7o7B4vn5qK63obzDXaeuJqckSAxRo0//ud7aNUMCo0GrG7u/xb4t1BtjZBIm9PVovjXWeOFIAiCIHod7RXkDNouNlaDmhpzWEFFoa4BD80cipVb+G0/nawHvuZerBwioKbBztkBwfWun37jD6gFFIILjAZ8e/AsJo/ph/c3l2BWXoZwBqfbi7Vf+HvUFxgNXAeEYKrqbJCIRVz7npR4LSpa2Ty1jQ4U7y7HooJsVNVakRSnRZPFgfomh6Cd4heplGL+tCyuP23AN6huEPY/uEV5Ef/1RoujOWJ9efRqR/aTTz5BTU0NVq1ahQ8//JB7fezYsXjppZewZMkSTJ06FW63G/n5+R2iWAwAFjsLiMX4et9p3Do2HQ6nB0qFBJ9+XYbC2EFc7d30CQOQHK9BeZUZG3edxAO3DsacKZlYv+M4GIkYM24YCLvTwymhAi0rGU/PGQmny4vqegt0Kh032MI5i4H0x2D1tnCDXK+Vw2xlYXd6BHtfPjfvOvz+re94r7/+8QGu6XG4ou1wPwRiidj/gF+mWnFJeRNWbT3CNYvOTItCcqwK8F7G5xK9lkaLCz8cOYd5+Vk8oYR5+VmwWJ0o+roM+ePSeanHVTU2eL0+fFh8BJPH9IPZymJgcgSmjx8IH3xg3V6kJGhwrLKJq4FJjtdAIZfi13flwOX2hPSfC65zB/zjNTpCAbPNiYUzhmLZ+pYygUfuGIYmmwtWpwdaFeNfOMIVUOomCIIgiN5OG05wcpwav5ubC4fLjRitHGKJ2K/UG4TQYrPJxnIiTwGnMtDWJiDUOnfqYERq5Xjn08MYm53EBboazHZBmz4tMaI5k9OBPYercM/ka7BhR6hQlVgk4gSsYvQKzJgwIMShNuam4j+fHcbEnBT848MfsaggG+98ym/nWby7HA/cmgW31wurw42oCAWee/A62OwsZIwYS9fux8SRKWH9j+Doc+D1KK0SHWGs9GpH9v7778f9998f9v3Fixdj8eLFHX5cuUwKh8uNiaP4ktbz8rOAZpFos9X/5Z9vsHF9XgGAdfu9rrHZSXir6FDYHlFHyxuQ1icCXi/ww9HznNMm5CwGVlIC+wZ6WYUj8BmV582CxzZZnYKve30+QZlzjqBUjjN1NlRWW7BySwnMVvay1YWDpdSDHYKw50Jc9ei1cuQMSsD6L49xkwt8wPovj2FefhYngsD7UZaJAYhgtrLYtOsk7puSCZlMilfW7OOPc5zCscomrC4+ikWzWpTDZ980SHDsNJftQ85I8OC0LKzcUoJjlU1YPC8XT907EifONCE5Xstrt1VoNCCpWbwi0FydlLoJgiAIogNpoyVle3q7B8rqnI0eLoo6MScFUToFFs/NRVWtBVY7C6uDxfQJA1Af1Id2065Tgu1zGsx2PFYwHAq5BE1WF45VNoY4qPPys/DpzjJeOx/W7UFmvyj8vzuHw2Z3Q62UYsXGn/0ZYUE9YIPtlIDwZLCdE/jMWXkGmKwumK1sm62EHpyWhY+3HwPQkrKdGKNusz62vfRqR7arcLJuSKUSLsrjf81f+/b8g9dhzpRMrnfS2OyklrB8vQ2ruVYfLfVxQiscXi9w5rwZYpEI2/ZUYMOOMjx6xzAMTtVzzmKt2YnjlU0h6Y+BXlZhIzjNDmdcpFJwhSdap2gz6tumo9x8nKVBUSkAbTvA7aCt+ltyZAkhdEopkuM1qKqzcYsfAexOD5clEfysb9hxHLffMAAP5mdhedEh6DRy3rMcGOfP3DcK/1q3H2Yrixi9Eqs+P4LaRgfO1dsEx05KvA6/vjsHERo5zFYHxgztA4uNRWl5I2IjFUhJ0OJvH/BFqQIicDJGzHv9cscSQRAEQRB+2upN257e7sGZkkKiTPOnZeGzb46hqs6GzFQ97rr5GsgZv+0dyOC8d/IgRGgVOF1twdovSmG2sig0GiCVirFys7/N3503ZeCxguGwu9xQyqSQy4Cbx/TDlubssNZlghubA1yzbjTg7f8eBuC3R5qsDp6d0lbHlGXrD2JW3kDOgQ1kmybFqRGlU8DmcMOYmwqRCMi7NgVO1guxSITkuMtTKg6m14s9dQVymbRZZlpIQdcKnw/Yuf80CowZSIlX47GC4YiLUsEHH7RqBmIxkJESCTkjESzELjAasHP/aSREq7G6uBQTc1LgZD14dd1PMNlYLjWif7wGyXEaLvUhsApS0+jAU//eheff3o2nXvsfSiqaQsWafEC0ViZY+B6tC309IHrTnhq+zhB9IqEn4qLxAX1j1ILPjVgkAiMRo7rehl/OGoZCYwZm5RmQMygBHq8XaX10+N3cXADCgkx1TQ5MGdMPiwqG4Xy9lXtv577TePj2obyxU2g0oNHiwMrNJbDYXHhv0xHER6oxe9IgaJRSfPTFMVhsbNgsiAi1POR1EoQiCIIgiMunTZu12d5OiVH7F4/bKKsLJ8r05ieHkHdtCgBgyIA4vPbRfp7dz0jEUCkYfLC5BF6vD3mjUvD4nSOw6+BZaJQy7rMsNhavrNmHf63dj1fW7IPZ5sHBY+dx75TBnBMbOObq4lLkjUpFbaMDdqcb0ycMgFLuj/YW767gidWGa0sUiOBGav3KzIVGAyaO9F+HgpHimdd34aWVP0CjZLDl21N4f/MRrN1WitXFR1FvdnbMlwOKyHYKTRYXIiPkyEzVh9TIKuVSLFt/EM8/eB08bg8arSwqqs3YtqecW2EZnB6Nj78oxexJGVi19Si3wpEQpUKdyY7i3eUw5qbifKCvZbMTGhKBDErlDawWicUi/PrV/7UvgiOwv07FAN7QFOFAEXh7xJU6Q/RJKKWahJ6ICxH83GjVDPJGpSIpTgOzzYk7b8rAh58fxc2j03h91GZPysD2vacx5Rf9odcIP8sqhRRvbDiIeycPgtnmxl2TMmFzsEiO16Cy2oz/u2sEPF4ffF4fqutt+HTnCdw2tj/EYhFm5WWgusHKZTjMy8+CSiXcEkssEkEppwUcgiAIgugMLttmDbKlq+rtIWm7E3NSEBepwqw8A5RyCarqbFwPe4iAgUkRKDtjwtjhftXfbXsqOH9Bp2Y4B7m1ns7rHx/Ak/eMhNkm7Ignxqjwf7NHoN7kgFop5SK7eaNSER+lwgsLR8PudMNiY3H/rdfA7fEi0Ad2577TXO3ruTobir72pzAfPHYed+RlwGJz4d7Jg7Bp1ym8/d/DyB+XjmOVTRd/79oBObKdgFIuhUohhTE3jVcju2D6EDBSNKcL2HnqugH1stXFpXg2+VrcacyAxcHi2QeuxfkGO5osTjSYHXCyXq5ZciAtOeCoCT4cgcJ1FQOTjcXZOhvyx6dj+94Knkpq2BTccIXvgdeTI9A3WoVBqfqwaRWt6RSnM5zTTU4s0RbNz81Lj16PE1XmkP7LN+WmhkwOq7YexWMF2fB4fPBJvFyacWC/B/Oz0GByQKtmwEgl2LDjSEg6j9nqb88F+CfJB24bjCari0sfDmwbKBuYl5+FX84ahn+t/Yn3foxegUidv2d1YAJK76sD6/GhotYKvSaM+JOoCwSiuuKYBEEQBHEZdIjN2mwzW9WeNtOM504djMRoFVfyFKNXIFZv4C2mB3Rv4qJUeKvoUFjVYifrgdnmQkyEcDmgXiPHn97dA62awYwJA1BgNCBSq0B1vQ0NJgfMNhZvFR3iui2s3XaMV3+7fU85dy6BdOOn54zEX1bsDfFtgnVAWrf8vFzIke0EtCoGZiuLNzbw+ym9seEgFs/NhZyR4ExQc+SAcTwrbyDe33wEDpcHfSOV0KkY1JldaDQ70DdOixVBQi+BAuqAYSxn/E2SdWomVKVXoFA9uOXHZa2OtFfmvNU+neJ0Xsq5EIQP8Hp9wv2XC7IFJ4dT58xIS9Ch/JwJ3x2qwqKCbDhcHihkEnzy1XEMz4hH3qhUwXSegELxqq1HcfctgyAWi8C6fVj+yaGw2wYmq8fvHA5bs2KgRARUVJvhgwhPzB4Bt8eDlZuPQMak4uUP2hB/EgOVNTaUnKqHXCaBrwqIj1Khb4y685zLcGIZJEpFEARBdGc60GbVqlpa8wmlGb/938N45r5RKDnVAK/Ph7QEHSeyFNhmTbM+Buv2ctHb1noegN9p1CgYnKmx8FoA5o1KRWKMCiKRCIU3GRAfqcL7m0vAery4ZXQaYvVKxEer8MLb/raf+TnpIR1M3io6hEUF2fjPZ4d5QbGj5Q0hvs30CQOQkxGLQamRnRJkIke2M/D50BQmp77J6sJDM4Zi5dbQ3lN6jX/VRKtkBA2/uVMHg3V7kJYYAbfHA+SmAoA/J90HrN1Win4JOSGRVaFC9UChdtHXZV2TgktOJ9GNCFcD43B5BCeHgUkR8PqAAUl6rN12DC+t/IH3fs6gBCTHa8LWlQT+rdfIEaGR4eeT9Rfc1uHywO70L4gJ9aMNRJBbTzi80gERcPhUI15d9xP3GcGrwZ3lXLYllkGiVARBEES3poNsVo1cgn6JOjxWMBwer1cwQ9JiZ7kIbKB7QjBO1oOEaBWimoVXaxsdeOezw5g7dTBP0KnAaMCZWgtWbT3K9baP0Mi5IFtgm/c3l+C2sf3Bur1cBhrvuIE+sK3OobLazJ030CJE23q7pDg1onUyRGtkl3XvwkFiT51AvcmJKJ2w+FCkVg6x2F+83fo9pdz/UFkdrKDh9/Z/D8OQHInESAV8XuC9TSVYsakEa7eVYu0XpaiqswmKvIQz0vv31XGqa+RIElcz4cTCmizOELG1OVMycbbWhr+v+hEnzjaFvL9wxhBEamWQSsSCnxlcCnCmxgpAhJQEbdhtY/QKFBozkBClglzmTyGemJMi2OM5LkrVppCaycZyJQ1Cn7F07X6/YFwH0xkCbwRBEATR07A63HhlzT78bdWPKPqqDJPH9EOMXgHAP+9XVlu4+dIb6MEahJyRQCGXwmRtsU/8ok0s8selY1aeAfnj0rFp10lYHW7us+KiVCGZomuKSzE2OwkmK8sro2p9XKFzCPSyDfz98O1DsXP/6ZDtGKkEJmvH2xUByJHtBKIiFHB7PHhwWhbvS35wWhZsDhde++gA5uXz3ys0GsBIxSjeXQ6dShbW8LM6/KrEeq0cidEqzLrRgFl5/v9lpuqhVjCoqLHC5HBz0ZxwRnpCpDKsyhpBXE0EqwoC4GpdFTIJ4qNUeOa+USg0+icHu9ONVVv9da+MxD9mA5PHM/eNwuffnYJGJcO5OgvmTh0cMs4D6t4FRgO27SlHbaMd73x6GIWtHOJCowH7SqsxZUw/bNhxHEvX7scrq/dh8ph+iFAz3O9DjF6BWTcakD8+HRoVg8RoFe/agksHeL8rYVZZO8O5JFVxgiAI4monXIbkxJyU5oXwodi2pxyAf26XM2IsnDEUhcaM5r/927jdHujUcp79EatXoejrMi64VdvogFgkQmK0CpPH9ENltTls5pfX5+PZFEqZhLNftu+tELRPPv7Sn+L8/wqH49d35SBaJ0eBMYO33cIZQ1C8+1SnLlpTanEn4PV4IRKJIBaB19PJ4WLh9fofHLfHh+kTBsDr80EsEkEuk+CdTw/jjhsNUCgkYKTiNlXSdCopZuUZsGx9S4rAgulD8PcPf+TqaANpgqToSxAXoLkG5ndzc3HgeC3gA8x2F1ZsLEGMXoE7jYOwbU9FcxNzJR4ryEaT1Ym+sRpeOu+v7hqBUYMTOZG3xGgVHr9zBE6fN0MkApLjNFwpQEDpWy7zr6ZubFYnj4tUQqNiUFVrxV03Z+LP7+4JmfQWz8v1Tywyv3JxYCU14IB/saccQwbEQSwGMtOiIJGKUVFjhVrF8H5XOlo9PBz0G0QQBEFc7YQLUqUmajF9wgA0WhzN/edDhaAWzhgKnVqGt4oOoqrOhsRoFQqMGZy+R2K0CgumD+GironRKgxM1mNgsh5/fX8v8senC8758AFisYgTjZzcXLakVTOYPmEA4qNU0GlkmJU3EE7WCznjj4EOz4hHWqIW9SYH1hQfxcyJAxCp9dtHdpcHTRYnJGIRRl2T0KmL1uTIdgKNFhcUCinWfXEMY7OTuMjozn2nMWeKf4VDIvK/2DdWjbhIFcxWF+655Rps+OoY3thgwa9mj8BDM4fyVFQfun0oLA4WEIkAn49zYoEWMamAOEzrGjRS9CWIC+ADNAopir7yNyKfldeSsmOyOUNqUuflZ+FYZSM2f3uKk8mP0inwwZYj3N8AsGLjYYzNTkLR12V4YvYI7vMDn/HJV8cBALWNDqwuPopf3TWieeXUC5uDhVbNwNnYMvE4WQ8OHq/F6uJSFBozuFqawHvLiw7hyXtG4q/vtygHFhoN2HXwLCbmJHOiD4FV1tWtamQ75beBVMUJgiCIq5xwrXwqqy1YXXwUMXpFswqxN0QIatn6A5g+YQCq6mwAgKo6G749cAZP3TsSpRUNSI7X4rOdZXjm/lE4dbYJaqUMf31/L+64cSCcrAfb91ZgzpRMmKwsF0TTqRl8uvMEpo7tj9mTMmB3erjjOhs9WF18FHJGgscKhmPttmNcaRNEgFgkgkQsgsnKYurY/pCIJTy7o8BowIefH8WD04b4I7IiUacISpIj2wnotXI02Zww5qbyVlMKjAY0WRyYP30IvF4vvD4f6k0OKGRS/H3Vj7wH++VVP2L2pAzkj0uHjBEjKU6LFRtbVIvDqakGjOfA31xbHRJXIogLEhw5DHb0vF4fJz0PtKj2PVaQDbOV5WTy+/XRCo57iRgoNBpgsbvwu7m5qGmwIUqnwOrPj3C91YBArTzDk7kPKJMDwMScFIjFQEq8FjF6BS8dKICT9eBYJV85MKDAvHSNv19uwNEWi0V4ceFoWO1sqHPZ0e1y6DeIIAiCuIoRyk56+Pah+OybEwD8C9qbdp3EncZBgnO719cyccboFchIi8byTw5ibHYSnC4PSsobceJME1ITdFjynt+pFItbalxZt5fXyufBaVl44LbBeOOTgwAQ9rg++PDAbYNhc7C8xe8H87OglIuREK3G2m38VoUBUdnSigZ4veDEZTtal4dqZDsBnVIKmVQaspqyprgUKQk6WGxOuL0+7Nx3GhqlDAqZmPfgxOgVyB+XDo1SBogAiViEfzSnDAc+q7La0qaQTOBvqkEjiIsgKHL46O3DkJUejQKjAXqNQvDHvabRxokt3DI6DT6vSHDcpyVGYNfBs6hpcMDqYFFdb8enO8tw+40ZKDQaMGdKJu6dnIlH7hiGimoTtGqG2391cSkmj+mHGRMGQCwWwesDKqotmDFhABQyYUEpIeVAhyu0z5zV4YbT5UZKjJpfL9+smv7Uv3fh+bd346nX/oeSiibeQhlBEARBEBeBD8hMjeDpbqz+/CjGDOnDCT7VNjpQ02gXnNvFopZJONC+h/X4J3yfDyg0ZuBwWS3cHi8334sgQqHRgLxRqTxBJyfrwfJPDoF1+2C2sqhtdKC6wSZ4XKvNheQEbYhA5PKiQ4iP1uBklQm3XN8f904exF1HwIn2esFpcnSGoCQ5sp2EyeoUNHxNVhesdg8qqs2Yc+tgbN9TDkYq4R6cQF580ddl+Ne6/Sj6qgwalYwzbANs21OOh2YO5RVVz8vP4hTDwjYdFgEmOxsiCEUQRDPNkcOUGDWcTjcAhJ1U4qM0nNhCQrQaZ2stguO+stqMmTcYAPhQdroJX/1YiTFD++KtooPYtqcC8AFrikvx91U/YvXnpZh1o9+5nZVngFbNICVOA6fLgw07jmPttlL/iqrLA6VMGiLC8NDtQ5GSoOFNKHJGArWS4UQfAoIQRV+VobbJCYuLn80hJEixcksJ6swu+u0gCIIgiEvEZGXxp3f3YHVxS8eR1cWlyBvlb6kpZyRI76MLEaB8dNYwpPfRca+JxeBqWgM+w4Ydx5Gb1Qfy5kXuGL0COrUcG3edRKxeKWifSCQizJ6UwQk7zcvni1Q+OC0LcpkEJSfrBPdnmxfs/77qR6wpPsapMAeUjXfuP80tkmvVDCxODypqrDhz3tIhdgSlFncCJjuLiKA8+Bi9gksJ1Glk2Ln/NJciPHfqYNidbiycMQTL1h8UbJD8VtEhTJ8wAKuLj3LHMFtZJMdpsOThMThTZ0NltQWf7z6F8SOSkRyvQd9oVWgNmkBv2s7qG0kQvQGNSobi3eW4KTc1pEfb7EkZALwYPyIZXp8PKrkUbo9PsP4lMVqNv678gZduvO4Lv+w9AG6VM/BbUW9yICVei/c3l2DKmH5Qq2WC7XYeK8iG1MGiwGhAQrQaCpkEyz85yP2+zJ6UgS3fnsJNualoMjsw97YsvPTBD7zPef1jf91NcpyG+y1oLUgRo1fAmJuKZ9/4NvS3gyAIgiCIdhFO8GlAUgSen5frL/NRMyg7Y+ZEYRUyf/tOt9uLFxeMhpN1g2EkAEKzwN4qOoS7bxmERQXDcL7ejppGO8xWlou2trZPPB4ftrTS+nisYDgqqk3wegGz1YXPd5djzq2DBfevNzl4uiDFu8uRNyoV0REKFH11DDMnDsTq4qMYmByBm3LT8MLbuzvUByFHthOoaXRAqfRHSj7fXc6rmduwowwFRgO+PXgWww3xqDc5kJygxUdflOL3869Do1k4khsfpeIeoIAhbHey6BOpgi45An2jVRiUqufXubV6MISiLMGCUARB8NEppbj75kwsXbufU/Dr11cHj9uHBpMdGiWDjFQ9Ks6ZwDBi9IlRhggoPTRzKN767yHB2hEZI0akVsE5sbf9oj9PgTjgiKYn6QV/F0QiEfrGaFBebYLX68WS9/bxjrNq61EsKsjGfz47DLOVxWOFw8PW3QT/FrQWpBBaYAtsH9vZXwJBEARB9BLCCT7F6OScLW6ysni5WTsnkKn5wtvf8xzACC3QN04tOKe7WA8YqYRTHy4wGlC8uxwFRkOIhseGr47xuqDcf+s1kDV3TlldXIr88ekYm52EFZ8d5vbXqhnkjUpF/z5aNAX1oA18Zkq8Fh6vFzMm+rPKIrVy3D7RwNMD6igfhFKLOwG5TAKb3Y2Nu07i7lsyBWvmZt5gQNHXZVhdXIrn3/wOowYnwmpnkdDssPI+j5GgwezgNTou3l0OjaJFNCWQCtlWX9hwq0Cd2d+JIHoszWJHEWoGLy4YjUdvH4brronDwL5aQOSDy+3FC+/swbk6K1QKGV54+3u8t/kIxGIRnrp3JB4rGI7f3DcKOo2Mq28PEKgdSYrTcmnLt4xOC6lfWbX1KPKuTYHF7hL8XRCJRPjXuv2QSiQQi0UhJQiBOt7aRkfz5/rC1tYH/xa07qsrFl+5nrMEQRAE0VsR6lu/aFY2dGqGK/2zOj3cfH7L6DTBhWSJWAKVnBGc0w0pUbDYWDhZDycgNTY7CSIR8Mx9o3D3zYOQPy4dm3adRMU5CxrNTkyfMABPzB6BCK0cH+/wd1P4f3cOx+D+URCL/SrJm3adRKHRgFk3GrBhx3EcP23CW0WhC/UyRoLlRYfw8sofcK7WhvnTh+Dk2SZBO6LW5Lys+0kR2U5ArWSgkElhtrIoPyfcgPhUVVPIF//7+dcJKpo9NHMoYvQKvLbuJ16P2IttXxFuFYgEoQiiFWHS8FNi1YAH6BOtwiur/e/ZHG6s3VYCJ+uXq//PZz9zyuJrPj+COydlCo67jNRIvLnhIFiPt1lQSi74WxGpVUAsEmNefhY3YQRWPQOtfd4qOoR7Jw/CL+/IxrHKRrjcXmzfWwGzlUW/RH/6b2K0ClERCiyYPoRLaxaLgbQ+Efh4eyn/t6BVuxy1gsGGHWX020EQBEEQl4NQOzo1g5Jyvs0RaJsXpROubbXYWbzz30MhUdZ5+VloMNkRF6nkbI/aRgfWfuGf5x+/cwTWfXGMZ0ts3HUStY0OyBkJnpg9AmYrixWbSgAAA5MjUGgcxLUjtDs9LaVOIuFF7mOVDZiYk4K1X5Ti9Y8P4Kl7R6JfnwhBW0ghvzxXlBzZTiBSzeBElRl33zIIVrtb8IsTUhU121ioFVJ/BGjhaJxvsKOy2oKVW0pgtrJ49I5hiNTKoFEwl9SDUchJ7rS+kQTRg2kzDV/FoLbJGfSeV/CHvKrWilGDE3HybFNIuvG8/Cycq7NykdpNu07i4ZnDBH8ronQKfLC1BGOG9mmpQ/H596ltdHATSYTG386npLyRmwTlMgmsdhaZqXpMGt0Pz73xHYakR2FWXgaWrW/pUT170iAk3KCETs0Agd+m4HY5IoT/7SCIbopSJW9bTMQH2G2XFw0gCIK4aFq1ozNZQ20Ovw7GcFRUmwVtA6VcykVJg20Di92Ft4pKce/kQSEL4A9Oy4LD6W8D2GRxQgRgQ3Mv+1k3GqBUSOD2eDAvfzDeKvJrglhsLDweDx6aORSvf3wgxHkVOjeny8v99jpZD0orGqCUS0POZ15+lr+132VAjmxn4POLxOzafgwzbhiI/5s9HG4PYHe6oVRIwUhEeOfTw7xd5IwEZaeb0GR24rtDZzFxZCqWrtnPezheXfdTSy75pTieQqtA5MQSRAjh0vAtDhZnam2oPG/h/XgLCjzFqLm+rQunZ+G391+LJqsTErEYG3Ycw/CMeN5qafk5E+fwBupP4qNU8Pi8aDA7YXd6UPR1aFQUPv9/T5+3IH/8QKi/P4UbRqbA6fIgRq+ESinFXTcPwgvv7PF/7rVp+MeH/DqVVVuP4N7Jg+D2+JAcp0a9ycnvHXsxvx0d3X+WIC4VEfD75d+Gffu5B0dfwZMhCIIQJpzNIRL7u5S0jro+NHModCqGi5Ku/aIUgN8WyB+XDifrQZOVRfnZGjw9ZxROnGlE31gtvtxbjpHXJPIEl2ZPygAjFWPFxhLkj0vH0jU/ofAmA6ZPGIA+sSpEapV48Z3d+N3cUXjmvlFwuNx48p6RqK63wufzYc6UTKzYWMKL8BbvLkfetSncOXm9/nZ/W749hUUF2aisNiMtMQIKRgyN4vJsBHJkOwGTjYXP50VebhrWf3kMN16biuWftKxALJg+BHOnDsZLK3/krUp8vvsUKs5Z8OTdOTh2ujFsTdplCTO1WgUiA5MgQgmXhi9npFi6dg8nnrCmuLRZrj407be20QYn64EWDMx2D5at3Md7/9uDZ3mT0+fflePOmzIwe1IGlHIpTyE5kGLUOrIbmDACvx8xejlGD+3LLYIFfm8iNAy0agYTc1J4ZQ0BnKwHChmDpWv3cwrpIYqC7fntIGV0giAIgrgowgtAKWC2sryoq1gkQv9ELTRySUimVIHRgE27TnI9ZyeN7oe/rNjDiUbdf+tgXpAsoMUxfcIAXqrwxv+dxIwJAyBnpDh8ohYpCRqcq7PzfBm//VGBm0f3w7P3j0JpZSOcLi/X6SFwDQE7ZWx2EqrqbBCLRchKj0GsXglG5Lts24Ac2U6g0eoCw0jw5oaDWFSQHfLQvLHhIJ5/8DpeKsD6L4/hptxUDDd40GR1ISVBi8RoFU8khmrSCOLKEC4N3+pguVrY4Imlb6wKv747By63FwqZBF6vl4uUTsxJwbKPD4TUxAeEFgqMBvSJ1UAmEUMiARRyKf72AT9iurq4FE/dOxKV1WbMyhsInw9IjFGjttGGu2/JxMrNJRg/IhmJ0Rr8oXmlNbDvGxsO4rf3X4vbftEfVocbXp9wBDkmUoGUBA2S4zWYlWcAAKzcUoKn7s6BTsXwo6wqKUxWFo1WFxrsbtjtLmhUMqBZ/bijVQkJgiAIorcSzuaI1sm41wM1rotmZXNRzMyUCCx5ZIw/U6zagk27TsJsZfHQzKFITdCiut6GO24ciD4xalQ32CAS+Xu5Ohtb5n8n60FspJLXdx4AWLcXJ882wesDpo8fiFfW7BO0Y1ZtPYLfzc1FQrQaDpcHedemYOOuk7jzpkF46p6RWF50EMbcVM7BToxUQqdkEBurQU2N+bLvHTmynYBSLoXJ5k8TcDg9gtGPBnNLKgDg79OoVjIhdXTrvzx2WQJPBEFcAmFSaU1BNe/B4glDB0bjTI0lpHXOgulZAESCvwEQAYxEDL1Gjn+sasnOePSOYYLbnzzbBJFIhLXbWkQa5k4djP98dhi1jQ7ER6nQEKZ9V73JgfQkPc7X22B3+tOCjlU2wOsDdu477Y/Cbj2CSblpvGju3KmD4fJ6UFJh4ybYxGgVT6o/MVqFOVMG42jleQxI0gtOkpedSUIQBEEQvZVw5TveC5f1nKmxYeWWEozNTkLeqBRkpkUhOU6FA2UNeP3jFi2MAqMB72/y96YPiDvF6BXIG5UKEYB5+UOwbfcpzJmSCb1GgYpqE1IStPj06zKkxGvD2jFO1oNDZbVYXVzKHYeRiNFkcSIhWoV7Jl8DrYrBHRMHQq+Rd7gfQ45sJ2Cxs9CqZP5ibIVEWClYo+DtkzcqlUslBFqaGgdyyXMy4hCtlZETSxBXgjB1nmIRQtJ7C40GyCQSwdY5foexUfA34Jp+UUhL0IWscp6psQpu3zdWixUbDyN/XLpfbTgxAh9/WcopDTaYHRiUGim4r04t49XEFBoN2LbHr2q8cMZQJMSoUGAchD83pyAFzuXt/x7G03NG4bNvWmpzx2YncU5sjF4BY24qV3Mb+OzAJBk4vkgk4rJPCKIjuKCQE+B/7giCIHoC4cp32ijrCRamDK6TfW7edZwTC/AjqKuLSzF9wgBs21OOKWP68eyZh2cOgdnGcnZJIKgmlwn7MoHMs4CAbeA4T88ZCaudxR/earE7HszPgkQi8jd+5fvElwU5sp2ATi2DyebC7EkZ+PTrspD6uQXTh0Ak9nIPhZyRoE+scFPjymozkuO05MQSxJWijTrPepMTG1spBG7cdTLs+D1W2YBteypChBoevn0oyqtM0ChlyB+fju17KzjHb9ueciycMYRzFgMTicXuxILpQ3H8dCOS4vxObSBbY17+YMikYhTvPhXye/PQzKFY/snBkFTl/HHpWPtFKZatP9As6iB8DUfL65E/fiBq/nuQp5IMAPnj0rFy85GQz/71XTlwuj1wujyI0smx6X8ncKcxg1NAJjEo4rK5gJATADw/f0zbHyESQamWt30cUjYmCKKbEk4kqqrW2mYEtV8fnWC9bFWdHRt2HA8Jqv1mzkgsmD4Eb2xosUsCta+ButwYvQITc1IAESARi/DBFr5tsLzoEB4rGI7zjU7EaS/wu3sRkCPbCURrZXC5vZBJxRhmiIfb48Ez942Cxc4iSqeA0+WGw+HF7EkZ0KpkiI5Q4MTZJsHVDorEEsSVpa3WO3qtHGYryysLkDMSREcowrbZCjQjDzi/g/tFwWJ38dKQAxNBbaMDZisLnVrORV779YkA63ajpsGB2sYGbNhxnBNuUiokiI9UQyQCquosOHiiHqdrrFhUkA2vzwexSIRGs4NXax+4pmBpfK/Ph7NhIsFeL3Cqqgm3jE6D0+VFWqIWckaClASNYO9brZpBg8XBSfcHVmItDhY6FUNiUES34kLOMCkbEwTR5YRZAA4nEqVWStuMoCrkEpScDBV+9Pp8gg7wkfIGJEQp8fyD16HR7IRKIUVVnQULZwzFsvUHAACTx/TjFuyLGAnmTMmE3emGk/WHa7fvrYDd5UaDGXA43XD5RJCJcdlzv/jydicE8fpr397dWILVxUfxxoZD+Ne6/Thfb8Pzy7/D82/txl/e2wulXAqtisHKLSVQBPo+NhdZc4Xe5MQSxBUl3Aqnv87TL8gQPE5/NXsE6hodIeN3Xn4Wdu4/DQBcPW3RV2Ww2t1YuuankJSfiTkpkDMSLJwxBFIxkNZHC62KQV2THSYrCyfrhVQiwuOzR4CRiLH9hwrAB7yyZh+WvL8Xa4qPYdaNBowZ2geV1RbUNtjx0sofOIcxmMCEFvzvH46cw/zpQ7htE6NVeOrekUhJ0CAzLQoD+kZALBahut6GR24firtvzoREIgr57LxRqZwTG7i+5UWHIGek3CKBVs1g1o0G5I9PR+V5CywOdwd+gwRBEATRS2jOEnvq37vw/Nu78dRr/0NJRRMgAnQqKR6aOZRnexQaDXA4WcyelMF7vcBowM79p1FoNGDl5hL06xMRMn+LRaFzur8UKhp2pwdWm8uv5/P5EYhFYixbfwDG3FTkjUrlnFigWVDK5cHabcewdpvf9pkyph/0GjlkUgle/egnPPb3Hdx1XA4Uke0kmqx80ZWJOSlcHjrQUn/21L0jMWZoH2z/oRJzplyDxwqyYXd60GR1QialdQaCuNKEW+HUq2WCggwA8NS/d0GrZrioq0ImgVYlxU25qSH1tGdrLYKOcny0CtMnDIDd6cZza/bjl3dkY3nRYQxMjsAto/vx+rTNnToYuiCRqMBnvP1ffw1t0ddlmD0pAzF6BSRisWBd78ZmBcG5/5+9N4+Pqr7+/1+z3NlnMslkJwshYQIkgbAZoWUpJiKihEWSgKAoKKAWa1vrr7a19lPbfq1trdZdqFoRA7KICohBRKkoBWU3JBAgC9mXyewzd+bO74/JvZmbuZMECISE9/Px8CGZuXPve+7c93Le55zXmZOBkv9VYvyIWGz+3B9yrFRIoFZQePY/h7nPrJqfhZEpekhEIrg9PpReaIVcJsHimSOwYfdp7riYCJXg97M5acDnn+ACd27llASxBhVGp4STTTsCAJL/SiAQCCzdRYnRXv+k+WjRWDS02uBwerGjQ7m4KM9fC3ZovBZerw8KmQTTxiVyGhab95YHpSIlx2nwwNzMoDI7r245hvvvzIBYLIbLTeOuW9Lx13f964OdB87j7pkje7R5ikvK8fsVOfjXpqOYMT4Jmz4v75OqBsSQvRqIALWS4i+GA/LKWFy0F+VVbQBEmJwVj4qadrz1yQ/c+3JKQspWEAjXmFAy+JzSXhfhhaomfy6Ky+TlhRzfd8dIJERrsKYwG06XF+E6OV7ZcgwzJiQJGsoNLXZs+rycK33DCsWNNcZweSlAp8G6av7obnNg2NpwEWEKvLPjB87I1qooxEdqkDsxCQwDbNt3FrfmJCOmo9zXps/LUXCLEcWf8Seh17aewLzpaYiJUMJsc3NiUffOHol7bh8BvVYBjYrCuYvCaRJ6tQwQiYJ2bl20F69uOd451l1pDi3JwR349EH+a581pUserd1J8/NqSQ4tgUC4ioSKErvYYudVGSjMM2Lvd516Gy7ai8RoLWLDVXji5a+xpjAbxSVl3DnOVLejzVKG39x3E85UtyExRoumNjvcHoanA7LzwHkAgMVO4/WOsqLVDW1cm/yCk+Je2Twmq8uf6hSQ2nSxxQ5d4uWnFxFD9ipgdXrgdHl5Ai+su14o/wwiH4pLyvHYorGI1Ct4DyEpW0EgXGNCyeCHGGRDeXATonVYu/0El5/6q6XjYbHR2Hs4WPypaxFzAGhotaMoz+g3kgUmhPAQ12Xb6aK9SI7VQimX8PJ6C24x4q+7DvM+V1xSjt/ef1Pn+UJMQlF6JRpa7UiK1WH+9DRs3XcWH+8/h3nT0/DiRn/I8ILpaUEe4IfuGgOd2n8PE2M0IUO3AeBii78e3p5DlbDY6EvLoe1GqIsYs4TLJdCopigpaLozFJ7k0BIIhKtJqDVGdYPVHwk23m90umkGsyen4J2dpXyNHQBrCrIhlYiDzmOx0f48VjeDv7/3PfKnpUIsEmH7VxW844ry0rkN9bpmW1A9+oY2e69sHrWSQlFeOlKH6FCQa4RYJEKzyQGzQXXZtg6JXb0KmB0eqBRSlBysRP7UVBTkGiGnxFg8c4RgvDp8/oXchTozbp+cwitKzIYuEgiEa0iH1zUpUu0fXLsxgoTyZlcvGA2pBLj7thEoyvOH+H78VQVWzc+CxUZj54HzKMwz4heLx2He9DSuiPmDczOREKWCnJJgx9fnoZBJkBSrE8xZqaw3o7BLXi67I8v+LRKJsOvAeTy0cAx3nFgcOjqk6/m6XrPJ5EBxSTleKD4CGSXBgulpmJKdwJUOazY5sWXfWYjFIjx530SsKcjGklkjYLI4UVrVDrPDg8RojeC5pVIxvv2hEZX1/gLp86enQav2awi0WNyoarLB7PR0G3IaKgTLbKdDf4hAIBAIhOuUUGuM707X4/bJKdj+VQU27SnHtn1noVZSiDOo+Bo7HZvz8ZEqrJqfxTvPqvlZ2Ly3nNu83nu4Cjo1FaT5MSSgqoHbw2D/kRreesHlZnq0eVYvGI0WkwNffl8Ns90Npdz/nkImgdV5+XM08cheBZwuDxQyMe6aMRxvBMSZ/3ThaPz2/ptw6lwLGAYoOViJgtx07DxwjvPOsnWetn9VwQ9nJBAI1yddPLhqJYUmkwN/ftvv9YwzqPDQgjHwMj4o5WL89v6JaGpzQi6TwGp3I3VIGCjpUAyJ0mLP/y5g4qjYjvxWJWgPA71WFlSOZ9X8LLy3+zQAfwkcGSXmSvKwdWUL84x4Z8cp3H9nJppNdsybngbG5+MM4647pS43g73fVflzZOX+3FnWQA3MqwU6BJw+PIn/794JsLs8vHM1m5x465MfuFq1XfNhH144Br++ZwL+EpB/+/NFY1FRY+Zk/9nrzZuWChfN4Levf9MrD2uoEKxms4uEGhMIBAJh4CEQJSaWiDF+RGxQms66j07hmZWTgoVifYCakmBMWgT+8ODNaDU7YdApoFZJUbXVirHpMZBTEjSbnNi67yxmT07Bo4XZkErFaGqzQynvVEHee9g/r7OGq1gMDE/UQ62UcuX45JQED9+VhYLc4aA9DIYn6LF5bzkW/MSIO6cMw+bPz2BKdgK2f1WBojwjlHKSI3tdERmmgIP2YM//Kv35cW4vFDIJPtlfgcljhnSEEwNTshNgtjkxfkQsJmWJsfPAebhoL4YN0fnzxYgRSyBcG640rzIgb9bsoPFCsd8rGKlXIC8nmSeaxBqEbAqBnJLgsUVj0Wp2IC0xAh9+WYG8nGRe7svDd43Gr5dNxOkLraCkYkSFK2Gx0XDRnXm5cQYVlswa6fdoduS1NJucsNjdeLtDKAoAIvWKoNDf5XMysG3fWU5dmT3fb+6bCJPFBY1Khle2HOPaDPgnzTazC+lJESHTJmaMTwqaaF/+4Bj+v3sn4LlHfoRWiwt6tQx2txf/eP9IkDDEE0sn4M3tJzrzdQCs/7QUTywZLxiGFCoE62xNO4pLyq5tqHFvnymS00sgEAiE7vDBbxPAv2EbEaYImaZjc9IwaASiOUVA6QV+6s0jC8fgl3ePQ22zDUtmjcD6XafRbHKiuKQchXlGlF1oQU5mPC42Wbl1Q7PJiZKDlXhwXhZsDn+5wFe3HAPt7cytFYtEUMophGsBlYJC8Z4ynKluh9nuhtlGY0p2AucFLi4px/CkcISrLs+YJYbsVUCnlMLp8WLq2ARUN1i5eo5TxybA6e5ceMopCfKnpiImQoX3S05znpTYcGWP4YwEAqGP6OO8ykCvoJAhV9wRdbHp83KugLjd6YHT7UF8pApTshOCjb/Nx7FyXiay0iLR0GKHSCQKUgteMGM41u8q5dWMjTOoYAhTIH9aKgB/HbdmkxM7DpzHb+6biPO1ZkTqlbDYXFi9YAzO15pgc3qx/0gNCnKNqG6wIDpcBYlEBIuNH/ojpySQyyQw21xBHmPWMJ4yNkFwoi2rbMP49GgkRaoBEVDf5hA8jmEY5OUkB+UTW510pyHbxRD85eJx+FuHmrOQJ7kvVBJ7pKdnim2zzQ2RSITXth5HXYv9hsnp7UmVmCgSEwgEQgACc8pv77tJcOM2VEqiUOrNSx8c46JAHy3Kxv89eDOOlDeBYYBvTtRiclY81EoKCrkUDa02FOQOh4tmIKfEoCQi1DTa8OX3p7l5etPn5dwaYOsXZ7Bk1iicqW7D2PQYWO005DIJpBIRPPCB6qjM4qK9cLouvwQfMWSvBr6OYr8ehhcqt3hmOsQdWcnsgqzkYCWmjUvkjFgSTkwgXFu6k7a/HGOH5xUMIZoEkd8z2jXs9ldLJ0Astgl+RiwS4//WHuTCle+emc6FCw+N1WLbl2d5Rl+cQYWFuUb8+e1DQaJSFhsNhvFBraA4kabcicmIiVCB8Tmx6NZ0HClrQMawKPztve9RdKtRsIRPs8kBm8OD/Udr8NiicahvtSJKr4LZ5sK86WloNbtCemtbLS4YNDKY7TTqWmyQUxJo1RRmjE/idnTDwxQ4e9HMM8Q3lpTjmZUdAjshDEbW2yuVSvDP4u+DPMlXW0Sv22dKRQW1mf1dmk3Oa2No9zc9qBJfK0ViAoFAGAgIzSmvbDmGRxaOwUsfHOPNf6FsiFCpN+w65YXio3h8yXgUl/g32edPT4PL7cU/AjaGC/OM3Ib4o4VjIZWIUNdix84D53lKxz4fgxkTk/F/6w7yUqL0Wjk0CikcbgZ1zVYA/jVBmJAHuZcQQ/YqoZBJsWF3Ge+h27C7DL9fcTOK8oxIjNFi/a5SLLltJBKj1RiRrO9RHZVAIPQ9oQb3yzV2Asv3ABA05MQikaC3du32E1iRnyn4mfpWO/ca7WVgCRQwEolQVW9Fm6VzMhkaq8MLG/nhuhtLyrkSOudqzdhYUi5Y17Uoz4hbbkrGH9f9Dy7aix1fn8fCGcM5w1ksEkEhk8AHcHL/z7//PfKnpuK5T74D4PcGL78zE6sXjMarW47zJsKSg5UYNyKKu/87vj6P++8cBbvTwxnLcQYVoiOUvM1A1uBjQ6e6MxiTItUwOz2CnuSrLaLX3TMFIKjNGwO89NfC0CYQCATCwEFoTqlrsSNcK7viCguBlQ7YXNgZ45NgttHc/Mu+H6jjExWugEoh5XJrA6NNn1w2kdtEZz/LlvCLDlfixNlGZKZFI86gwm2ThsLl9gCXOS8T1eKrhMUuvJCxOtyI0Ckgp8R4Ysl4jEwKg0Yu7ZU6KoFA6HvYwT2QKzJ2AoQZRqdG4JEAxWBWuW94oh6xBlXQGEF7GUAkwsp5wcqCew5VcsfNGJ+Et3eUorikDJv2lOPfH59EUZ6RK7Oz/csKuD3CZXtiIlTQKik43f73Q4U/exkf91qzyYkP9p4BJRUhOVYLY5IeTrcXWzvyatnPBUac3JqTjNc+PA6Hi8Zji8ahKM+I/KmpKDlYibycZHg8Xu7+W2w0rA6aV0B9SnYCXt96ImgSzZ2YzP02PRmMQmqP3I71VaS7Z6q7XfHA4wgDA7bObLf/qeQ9n4hAIBC6IgLMDhoexsdVQGCRUxJoFNQVVVjoWulA23GMWAwwPp/gXJUUq0H+1FTUNFrx9iengqodLJ+TgTPVJuF0IZ8Pr287gYmj4tHU5sC86Wn49kQtNAoi9nR9IQJkUongzodcJsG2fWfx80XjiOFKIFwHBHpQexOe0ysCxJ/iI1SdisYKCj9caMWrW44jf1oqb4yI1Cswe3IK/vqfw9CqKcybnobYCBWUCilqm618z2KXkGU27/V3y3PQbnWhusGKVrNDcAxSKfzDPlvnLVT4s81B8z7fbHJi054znMd3+5cVQeceGheGJbeNwLAhYZw4VJvFjY++OseJO0zJTvB7ZIeP593/6kYLvx0h2pUYo+F+m647zJF6BXInJsPj9cHs9ECnlGJkUhiee+RHMDs8cLo8iAxT4GrT7TMVor4efOibZ49wzekuTBogtWYJBMJlIJA6w2o+sDXWL2mu6KJ+zOozBKY2ahT+OTM6XInvypoE5ypRR53Z/GmpgmHFDhcNt4cJOc+5aC8Y+Lha8U8um3hFcx4xZK8CZjsN2sMI5pRJpWIsvMUIQ5gM8PZ8LgKBcJURkLbvU0MiwKitarLB5vSXq9l7uIpXQDx3YjI3XrhMXk5ltyB3OHZ9c6HHYuMWGw2NXIL48DAMMahgddJB+TPL52Rg895yWO00ls0ehaI8Y4dwQ/CE02Z28q4ZOIlSEnGQwNOagmzEG5RQyMRQKyjO8Gal+gPPw5uAO+5/dLgS2/YFG8dd/x5iUHG/TaDBqFVTWDA9De02GuXVJpytESE1XofUIVpUN9r6TMyrt795qGdKyMh9ZOEYhGtlmJwZQ4xYAoFAIAimzhSXlON3y3OgkUsub64IWI9ABDyxZLzguseglSE1Xhdkxzw4NxOf7K9AYZ4R7o61Q9ew4scWjcM7O04FrR/Y1CA5JYFOJeO+k8/nu6I574Y3ZMvKyvD73/8ep0+fRmxsLH79619j2rRpV3ROk9WNjXvKcOePh/FyyqLClWhrd+CDz8sxLE64fASBQOgHAgf3jr+vBnqtnDNCm01ObidTLAZSh+gEPZAumuEdOzRei4YWOxbPTOfy8NmQ5U5jie8NvthiR3WDFZs+L+d2cocn6BBnUMHm9iLWoOLlsa4pyEZitBpmuxvPrJwEm5P2164Ti5ASr/NPemoKzz40GXbaCxXVOalq5FJABM5YY6X6n1w2ET6fT3ijwOefOAMNvP1HagSNZd5nAwxGh4fB6fOtQbVoI8IUfSrm1WtCPVM9bZwQI5ZAIBBueEKloXg8Xuj0iiufK7pb9/iA1HgtYiKUGJ4UDqfLgzCNDP/+6CSy0qIhEgHDE8MEa9yL4cO9szMglYrw9AM5aG534mKjjROafGBuJt7fXYoZ45Ow/auKK06luaENWbfbjdWrV2Pp0qV499138dVXX+FnP/sZPvnkEwwZMuSyz6vXylFVb8XH/z2HudPS4HR7oZRJ4XDTaGhxoK7FTsQ8CIQbEJ1SytvlbDY5sf2rCqwpyEaUXtmtEAN77B8evBkvFPs9kIE124bFaYMnNnaiSvR7aXmicozf6NTIpYjRyQUNK43cP0UE1qRjXwPjP3dqUgSamixBk+AlG2tCn+kwlrv1lHd8R2tH7buuu9epCWF9KubVJ1yjjRMCgUAgDExCiTNdMw0FX+caAQAgAu74cSovmujX90zAb++/CScqWiCnxDBZXP4SgD4gY1gEnn7zIJJiNZg7LQ2Lbh0BpUyKdqsTpZUmjDFG45GFY644CumGNmQPHjwIp9OJZcuWQSQS4ZZbbsFNN92Ejz/+GKtWrbrs8+qUUqxeMBobS8pQWWeBWAwMjQ/Dp99cwNj0GCLmQSAMJLrUKdUppb0bdKVAQ6sLrWYnDGEKREfIYTbToCgxstOjkZ4cDrvTg0idnBMf6hpyunJeFj4ICNlZNT8L0Xo5dxxbs43NbQnZrp4Mp6thWPV0zhD3lfcZpvftcro8IT3a/boYIBAIBMLA5nLXAVfAZet3XGlbQ30+YLO52eyCQi6FTkWBYXyCmhnsJvKZ6nY8t/477r2CXL84VFZqJBRyCZdbe7nc0IZsRUUFUlNTecXXhw0bhjNnzlzZiX1AaqIO838yHGu3n+SFuYnFIiLmQSAMFELUKe0xv1IKHC1vxevbTgQZpXUt9uDzdJwryCOpoZAYPQ4tZicMOgUMOn9u/VXN6b0WXO597YbIMIWgwRoVJu97MS8C4RJglY27xQc47K5r0yACgdB7rsJ81SsuR7/jStvai89fbLYHeWW7ltlbPX80YiKEo8zEIhGK8ox4vvh7WGw0Vs3PwpjUCIC5vNt0Q5ffsdvtUCj4CpYKhQIOh+OKz22zezgjFugMc0tPDr/6Dz+BQOgTQtUpNdvpbj/X0OrijFj2c69vO+FX7u3uPB0eSU5K3+sP6zXG6/zhvUyI4wbYeHK597U7QpbaUVLcYuDpFTl49qHJZAwmXHP+8OY33f4HUc/nIBAI156rMV/1mkuc66+0rT19Xuj901UmbCwpQ/7UVBTk+svsbdxTBjEQNCevXjAaSrkEOw6cR7PJydWXbTG7L+Pm+LmhPbIqlQpOp5P3mtPphEql6vU5DAaN4OulNe2CYW6tZicyhkVeemMJQURFafu7CYOSgXJfQ/W9vqT+bJNgP7bTXqQmRYT8XKj+H7hY7c15BgqX+sxc7n3tCUOEBqkJerRaHIjQKhEXqYZY7L/pUZdwnoHSB/qD3vS7nu6f3UmDorpffvT0fl8dcznn6Onvy7mOWCy6rp6766ktV4OB+P2uxZx3IxPqmbha89XV4Erb2tPnhd5nfD7Utdg55WIWq8uDH2cP4c3JtS1W/LP4SND526wujEgxXMpX5bihDdnU1FSsXbuW99q5c+cwduzYXp+jpcUKhgneIjGECHML1yr8wiiEKyIqSkvu41WgN/f1elkAhOp7fYlKLhWuxUpJur1Pofp/4G5qb84zELicvni597U3yERArE4BwIeWFuslf/56HVsGSr/rzf1TquWgaU+3x/T0fl8dc6nnoChp0Gf6oh0M47tunrvrtQ/0FZf6/QZK3yNcPt09E1dzvuprrrStPX1e6H2hcoDsZ1parLw5WaukhG0jjVywfb3pezd0aHFOTg4kEgneeOMNuN1u7N27FwcPHsTs2bOv+NzREXKsnJfFc6mvnJeFGEMPeTIEAuG6IWS4qqp7tdvocOH+v/9ozSWdZ7ByufeVQBissHm0If9TkbUDgdAfDKT56krb2tPnhd5Pjdf1+poGrQyr5vPXRqvmZ/n1Py6TG9ojK5PJ8Oabb+Lpp5/Ga6+9hpiYGDz//PNITEy88pPTQHZ6BJ5+4Ga0WZwI1yr8Ruw1CKknEAh9xOWILQCAB8g2Bvf/YXH+4uOxBg1k4isrAj6gudz7SiAMYv7w5jch3/v9A5OuYUsIBALHQJqvrrStvSidJ/g+0LtrMsCY1Ag8s3IS2qwuhGvkfiP2MoWegBvckAUAo9GIDRs2XJ2T00BmamSnu5wYsQTCwONyS9N4gBidHDG6Dk8K3XmeqCjNdReSdM0htVQHJU6Xp0eF3sBKAQQCgXDdM5Dmqytt62WW6+v1NRm/iOWIFIN/HXQFRixADFkCgUAgEAh9BOPzdetZBICnH5x8jVpDIBAIhMHMDZ0jSyAQCAQCgUAgEAiEgQfxyBIIBAKBQCBcx7BiUD0d4/P1EEfoAxx2Vx+2jEAgEPoPYsheIWyNwis9hnDpkPt6dRgo93WgtDMUA739gQym7wIMvu/Tl5B703/0JmS7p2N+/8Ckbn9DuVIGu5Pu0Wh2Odzdvn+9MxCf44HY5oEEub/Xnr645yJfj9t3BAKBQCAQCAQCgUAgXD+QHFkCgUAgEAgEAoFAIAwoiCFLIBAIBAKBQCAQCIQBBTFkCQQCgUAgEAgEAoEwoCCGLIFAIBAIBAKBQCAQBhTEkCUQCAQCgUAgEAgEwoCCGLIEAoFAIBAIBAKBQBhQEEOWQCAQCAQCgUAgEAgDCmLIEggEAoFAIBAIBAJhQEEMWQKBQCAQCAQCgUAgDCiIIUsgEAgEAoFAIBAIhAEFMWQJBAKBQCAQCAQCgTCgIIYsgUAgEAgEAoFAIBAGFMSQJRAIBAKBQCAQCATCgIIYsgQCgUAgEAgEAoFAGFAQQ5ZAIBAIBAKBQCAQCAMKYsgSCAQCgUAgEAgEAmFAQQxZAoFAIBAIBAKBQCAMKIghSyAQCAQCgUAgEAiEAYW0vxsw0GlpsYJhfCHfDw9Xoa3Nfg1bdGNA7uvVoTf3NSpKe41a0z099b3rmcH0/A6m7wJcv99noPS76/X+9RWD/fsBg/87Xur3Gyh9j3D5DPZn/nqkr9abxCN7lZFKJf3dhEEJua9XB3Jfrw2D6T4Ppu8CDL7vc60Z7PdvsH8/YPB/x8H+/QiXDnkmrj19dc+JIUsgEAgEAoFAIBAIhAEFMWQJBAKBQCAQCAQCgTCgIIYsgUAgEAgEAoFAIBAGFIPKkD1+/Dhuuukm7m+3243f//73yMnJQU5ODv7yl7/A6/Vy73/66ae49dZbkZ2djSVLluDChQv90GoCgUAgEAgEAoFAIFwKg8aQ3blzJ+6//37QNM299q9//Qtnz57F7t27sX37dhw8eBDr1q0DAJw5cwa//vWv8ec//xn/+9//MH78eDz88MNgGKa/vgKBQCAQCAQCgUAgEHrBoDBkn3/+eaxduxYPPfQQ7/Vt27bhwQcfhF6vR2xsLFatWoUtW7YAAD766CNMnToVEyZMgEwmw5o1a9DQ0ICjR4/2XcMo4GRFM0pr2tFoccHGeGF2egBR312CQCD0ASLA7KBR1WTrmz4qAuxeLxrMLq7/g+q8Rk2DBVaX59KvJwZarG6U15rRYnMPkhG8g77+DQjXlo5n88CJWuFns+P3rW21o8XmxrkGK+pMTrTZ/a9dF7+5CLC6PKg1OXGuwXrt2xSqD5C+0TvIfSIQbjgGRR3ZxYsX47HHHsPBgwe518xmM5qampCamsq9NmzYMFRWVsLtdqOiogIjR47k3pNIJEhKSsLZs2cxbty4K28UBRwrb8VrW0/ARXshpyRYNT8LNE1DrVRgZFIYQMqBEQj9jwgorWrHi5uOcn11TUH25fdREVDbYkejyYnXt3X2/5XzsvDDuSbsOXwRcQYV7p2dgZpGCzxeH1LjdUiN1/qvJwLMdhrNZheUcim0KgoauQQQAccqgseUMakRwEAPJOnr34BwbRGHeDbTImC20jDZ3BCJRCj+7DRuzorHht1l3HFFeUaoFFI43WZE6pUYEqmGTikV/t1FgNXpgdnhgdPlQWSYIvSxl4oIqKi1oKbJiuKS8mv/HIbqA8lhKK0kfaNHyBhCINyQDIr9/JiYmKDX7HZ/kV2lUsm9plQq4fP54HQ6YbfboVAoeJ9RKpXc566UxlYXN6kDgIv24rWtJ5AUp8eLm47CbKd7OAOBQLgWmO00t/gB/H31Svqo2U7D6wNnxLLnfH3bCfxkQjIi9Qrk5STj+fe/x/pPT2PbvrOoabLC2uFBKK1qxxOvHMAzb/0P/7fuIMqqTKios6DZ7MamPeVBY0qL2X19eiIuoU19/RsQri0tZnfQfLdpTzlOnjfhiVcO4Om1B/Hntw9hxsRkfPrNBd5xxSXlaLO44XB58dz67/DEy1+jtKo9+HkRAVWNNpRVt+OP6w7imbf+F/rYy8Bsp1FRa+aMWLZ91+o5DNUHWsxu0jd6ARlDCIQbk0HhkRWCNWCdTif3msPhAACoVCoolUq4XC7eZxwOB9Rq9SVdx2DQCL5eXmfmBlQWF+1Fu80NrZqCnfYiNSnikq5F4BMVpe3vJgxKBsp9DdX3hGAYH+qabWg1OxChUyIuUg2x2L/6rT/bJNhXL7eP1p9tgtnmFjynyerCjPFJ2NhlsVxcUo4RQyMgk1FBi7G1208if2oqtn9VgcI8I3YeOI9mk5N73+qk0WJ24fn3v+c8EY8tGodJWXHcd7yc+3IpdH1mGMaHb07U4Z0dpzAlOwFiMTAqxYCs1EhIpcH7p6F+gzarG8nxejS02nvVxqv1fS6HvmrL9YZQvztTX8v7/SL1CiyZNRLVDRbkT0vF3sNVaDY5sfWLM1gyayQa2+yIDlehrtkGt4eBXCaGw8U3QF74+XQMie68Vm2TFU6awdrtJ4OMla7H9gT727S0O6CQS+HxesEwgFwm7tVYIPR8XOnvHaoPtFpdvWpTXz9vA2UeYLnUcXygfT/g0uY8wqUzEJ+JgU5f3PNBa8iGhYUhKioK586dw5AhQwAA586dw9ChQyGVSpGWloZz585xx3u9XlRVVfFCkXtDS4sVDBMct6JWUJBTEt7AKqck8HoYzJ2aCo1ciqYmCxdGaLK6odfK+y5MapATFaX13z9Cn9Kb+3q9DPah+l4QPYScqeRSxBlUmJKdwHl29h+pgYqS9P4ZC+jHahWFcK1csP+HaeQIUzuFF1xOGi6XR/A9iPz/31hSjvypqdj0eTl3TqVciv/3zre8xf3z73+P2PDJ0CmpS7ovjywcg3CNDBqVDDqVFFZHD2GcIsDNiFDfbOWNX2YHjXd2nEJeTjJKDlYi96YkNJscOH62CeFaOeDzodXs4j6jkkshpyTQqinMGJ8EiACxSITGNjv2fV/NC1kNGS7YTWim2db7MbZPxpZLCXPs5RxwPfe7iIDnPVKvwO2TU/DiRv93jzOosGJOFupbrIiN1OCLQ5X4yYRkXKhrB+Pz97XCvHQkxchQkGsEAOw9XIX6Fitkos7rNJmcuFDXLtg/uh7bLQK/TWGeESUHKzH/J8MRZ1ChrqUzMktOSXhjgeDz0QdhrWwf6DpmRGiExxLe+NSb61/CWmMgzq+h7p/QOH6p3+967nuEvmEgPvMDnb5abw5aQxYA5syZg5dffhmjRo2Cx+PBa6+9hrlz5wIA7rjjDhQVFeHrr7/GxIkT8fLLLyMyMhJjxozpk2sr5VIU5Rl5uTZFeUa0WZx4d9dpPPvIZJLTQSBcA0KFnD37kN/Q06mkKMg1BuX36dRU73JPBfrx40vHYeX8LLwecM4V+Zl4b9cPWDRzpOCCS6+Rg2F8gu+x44GL9iLWoEJBrhH7j9SgINcIZwjjt9nsgsnqhiFcAafTixazE4YwBQw6GcxWGlaXl2tzpF6BGeOTcLHJColYi5e3HEdhXjocThpv7ygNaeh2zd1bvWA0hsXrYHXQmJKdgJKDlbht0tCgnEiFTIIt+87CYqM5Y/OXi8cF5SeuyM8MCqcO/O26/s7rPy1F/tRUbkNi/aeleGjBGDzz1v+u6Rjb0zPHMUjmAINWhlXzs/Da1hOYMT4JJQcrkT81FUqFBGoFxYsWeOiu0VDKxJBKxPB4fbhzyjBsLCnDtHGJ2Hu4CrkTk3Hv7aMglYhhdXuhUUhgttGw2NxIitUK9g+pVAKz09Ntbi230aQMjnpgN4jWbj+JxxaN47V3TUE2dCqq29+j1793N+iUUqwpyA56Fgw6meDrgW3q8fqD5DnrjlD3r6ffjkAgDGwGtSH76KOP4tlnn8WcOXPg8XiQn5+PBx98EACQnp6OZ599Fs888wzq6+uRkZGBV199FRKJpI+u7kNUuAJPLpsIs80NnUYGl4uGVCpF/rRUWOweSMTiK578CARC95isIcJ8bW7olBTMNlown723/dDq9KC60Yr8af5ojr2Hq/Dcu9/jdysm+vu/3Q2dSoaP91egtNIEi92NxTPTecbdvbNH+o24z8pQmGfkQo9Zb9HOA+cB+Bft9S12bP+qAg8vHIPMVD3qmpxYOmsE4gxqNLTZ4XB5sf9IDRrb7FDIJGAAnK9tR5xBjR/OtyApRgeb0w3a4+N50LpekzUu2PuiVVO42GSDm2Zw8nwbhsZp0dxu54WOvrrlOOZNT8OQKDXCNBSWzBrJeebYe1tcUo7CPCPuuyMDlfUWVDdakRitRpRegb9t+F4wrJr1QHf97QBwRkqLxYW8nOSg72Gx+9M5XCbvNRtje3rmWPrCALouYIAxqRF4ZuUktNvcUMglnHFY/Fk5b7OkrtkGg06JtIQwtJpd0KllWHjLcETqlUiO00KtoFBdb8bFJhsiw+RQqSi88H6Adzc/kwsvZjc7/ln8feemSFfjrIsRV5Rn7DbqgZKK8LvlOf4oBJ28V4aQ0O+tVVOwury9j7byASOTwvDsQ5NhsrmhV8v812ZCvB5wrh7HuMHynHVHqPtHjFgCYVAzqAzZnJwcHDlyhPtbLpfjqaeewlNPPSV4/K233opbb7217xsiApwuD5xuBv/adIibcFfOy8IHn5eirsWO7V/6d6YfyM9Ao8nJLQRdtBf1bQ5AJCJhxgRCH6APEearV8sA9N7oEEQEnKuzYNu+szzj6ZsTtWhsCVYtHj8yBs0mf64+5zn0AU63F+90eD6/OVGLNYXZcLm9iDWo8e7OU2g2ORFnUOGBuVkAgOS4bCjlUpyqMOGlD47xrs16atUKKWxOL579z2Hu/eVzMlDVYEGkXgmT1Q45JRHM2d1YUo5f3j0OErEYP12YDYeLhlgs4trIGhAGnRIOlw3zp6dh676zaDY5wfh82LD7NIpuTUd1g0Xw3kbqlZyBK6ckiDWooNfIBI8Vd0mpDfztAo2UNYXZgt/j0cKxmDE+iTOGe/3bXgE9PXMsV/TsXW8wgEEjg1gixnPrv+MZh8GbJRVYkZ+JjXvKEBWmwMxJKfjTW4d4z6mSYaBVy2GydIbi17XYsfWLM1hTmI3qBgtS4sOweW85lzMuZJx1NeIYHwRTCeSUGHJKAoNWznkxzXYaVY227g1REaBWUijKM4Lx+TeyAGD25BT8cd3BS/OA+uCPEmHb7+vh9Q6u6hg3kOjhPhEIhMHHoFAtvt4w22lIJBK8+SFflOL1bSf8k2fH369sPg6NSo79R2pw++QUROoVkFMSnLto7lM1RgLhRoYNOZNT/mgLXsgZOheBgQgZHUKY7TRe3XI8yHiaN224oGpxu9VvEEbqldj+VQX2Hq6CWinFkCgNt+CflBWPFzcexYubjuIPa79FXs5QPLU8B6vmZ8FNMzhf2w4RANrDcEZs4LWXzBqJTXvK4YMIr23lt23dR6fgcHnRbHJCo6Rw7+yRiDWoBL1JJqsLz757GP/64Cje3XUaLrcXWjXFnWvt9pOoarBi276z0CileLRwLJbOGoFh8Trcf2cGXtl8HIwPgvdWJpXwzvXqluOcrkDXY41J4SF/u0Ajpa7ZJrhYr2228sbR3v62V0JPzxzLlTx71ytdQ91DbZas3X4SsyYNRf604UF9aN1Hp2BzePGPDd9DRkkxPDEMBbcYUZBrxJSxCaAkYmSmRmLz3nKcqW7nrsUaZxwiwOryIn9aKgpyjYjUK3Cupg0LbzFi+1cV2LSnHNu/rMCCnwxHuFaOXy4e5/+NAtTDn153sFsl5dKqdvz29W9QXOI/1+2TU3D75JRrqn58Ncc4AoFAuJ4ZVB7Z6wWTzQ27yxsyfCnw7wt17VgyayTW7ypF7sRkyCgxdh44PzhDfwiE/qCHkLNuc6sgIJDCvmZzw0Uzgv2c8flCvr5+12k8tmgsls0eidhINSw2N5QBglNdF/yvbzuBwjwjwrUKzjCNM6hwz+2jBK9R3WDBbZOGgvYIj0Gsx/S399+EC3VmNLY5grw5uROTsXb7qaCQ4MAwX3Y806optLS78PJmvvdZq6aw93AVlzsZ6DV+Z8epIC+p3UVj9YLRnFHD5uQOjVPjmZWT/Dm+On+OL5u7HOhpcnsYQa+Ux+uDWCTi/r4meXO9DHMcjHl9hjAl9zvsPVyFFfmZaGl3CD6LETpFSAEn1pv72tbj+PnicXj7k04FbIlEhI+/OosFPzGixWSHQa+Ew+WFXCaGUimF1eWB2eZGm9XNi1hYPDMd8ZEa/O2973jP9pvbT2Le9DQMi9dxNZyrG62CIelRAe0UCtndWFLuj6jozgPa1yKPVzLGDdDnjEAgEABiyF4V1AoKMpmkW9EW9m+GAaobLMjLSUa0Xom3d/7AK60x6EJ/CIT+oLuQs45F4HOP/AhWpwc2Bw2Vwp/f1tBi5/I25ZQEv1w8Dm4Pwy0I750tLNwklYhC9n8X7YXDRSPGoEZZZRtklBhtFhcWzxwBSirmFs8AMDwxDHOnpQEARCIRkmI1aLO4cNukoaistwheIzFGi+oGC3Rq4XBDtg02pwfrd52GVk0F5eUKeWm7bsTJKQnklBgzxicFeZ9e33YC86anobikDJREzAuj5soHdTlX6QUT9hyqxLzpaUiM0WCIQQWdmkLp+dAiNYEhlXsPVwV9j6I8IxKiNIiJUGJEsv7a5s1198wFGDJDotR47pEfodXiGhR5fXGRas5oajY5wTAMRqUYQqp417XYBd+TU/6AMRftRU2jJSj/efWC0fjicCXShxrwzo4fOo1csRgtXi80KjkuNll5Odwbdpdxmyz54ztFwfYergLj8+Fis50X8h5Y7irI24vQubEapXDVAr1a1jfCSyEM4Z7GOJI/SiAQBhvEkL0KuNwe6MLkWDkvKyhHruTgBQD+Se3BeVnweDzQquR4d1cpVs0fjRkTkgD4J1aLjSahPwTCNaK60cZbXLLquqxhqVVToL0+VDf6a2MeKWvgjgtU2l05LwsUJcFPC7JR02jFnkOVsNhoblEcZ1BBIpHwcleL8ox4Z+cPsNhoPDA3Exa7G6cqmpGT6Q8z1qop5E5MxpwpqZDLJHjr41OgvUyQ4fbQXaMhl0oglYhxvrYdD87LxBvbTgYtzOWUBAqZf6HtMnmx88B5zthMHRIWsnxYoGezKM8IuUwCn09YNTkmQuX/jESE7V9V9HiuHR0GQ3FJGeSUBM8+NBlmWw+K0wGepmaTEyUHK/HksonweBnIZVLolFJoFP5FvkbeMd319+K9J0Omv9t3hYjFIs5oarG44PH68O6uH7B8TgbWfXSK+86r5meBYXw4caYRD+Rn4s0AASf22YrUK2Cx0UhPisAf/32Q9xy8uuU4frV0Aj779jzunZ3BlfP5cN8Z5OYMxQsbO5WqF89Mx8f/PdeRa65EYW46TzCqKM8IsViE6gZrkHeVjULompttttOgKP6GdaRegdmTU/Da1uNBffORhWNgddCgvb4rE166ktJOKpI/SiAQBhcin89HhrMrQKiul9Xt93a8uPFIp6CED9h/tAYPLxyDdqsbTpcXZrsL8IFT8ZRTYry5/RTPk5AaryUTjgCk5tfVYVDWke0FZgeNJ145EGRszZueBobxYe93VZg/PQ1mGw3G5w9VjTMoUVxSDtrLcLVPFTIJYiKUeHHjMZ5ha7G78d9jFzEpKx5pCWGcsE3gtdYUZuOtT07BYqPx2KJx8MGHyjoLvjtdj0lZ8UFqvN+cqMXkrHhER6jgdHuhVVFw0178a1PntZfNHomkWB2a2hyob7VzRvWK/EyEa+U4W9OOPYcquSgQOSXBr5ZOwNrtJ4I8YItnpoNhfHC4vUiO1XJtfbRoLF4oPhL0fQpyh8PlZhCuk0Euk/JKEfnL9GjR2OaEjBKj4mI7DhyvxVhjDOclG50aAY/Hh6fXHQz6vZ5ekYOkSLX/D1FnqHdIT9N1VEMz1LPWkyFz3fe7jntsd3uhkkthsrhQ22JDcqwO/7fuIK9GsEImQVKsBo2tDihkUljsbjhc/rB3+IC93/k3cudNT0NkmBxRESqcu9iO6HAV6pptcHsY7D1chTt/nAKdWs4LXQ8sn8MipyRYMmsEGMaHxBgtt4kU+P6TyybiXx8c5foCC1vqatX80fD5fIiJUKOmwYK/bfgeWjWF2QH5sEV56ZzwG6vSLBYDWamReOmDo6hrsXMbXwC4YyACxqRFIi5c0eN83+vn5wo8v4N9fiV1ZAldGezP/PUIqSN7HeOivTBZXKhrsWPT5+XcZHXLxCTQNIP1u0q5cKrlczKgVVPYWFKO395/E5bOGtGRd8cgJkLZ/YQTtNsqhdnWh3k3BMINQihVT8bnA0R+BVKX28tTJy7KM+LWnGS8s7OUy/UsuMXIGbHsOV7fdgK/X5GDMLUcr249jvxpqYLhiCIA992RAYlYBLfHC6lYBKVcjKWzRuFPHXVQ2XNuLCkPqne5an4WzDZ+qZm3d5TiscXjuM/edvNQJERr8c6OU9wYxHpDLTYaq+aPRk2jGVPGJuCbE7XIn5oKsRhIjNHiwy/PYqwxBmJxZ1Swi/ZCJhHhgbmZnLhdnEGFe2dnoKbRAoiAj746h1/dM4Gf5xomQ+mFzkV2nEGF+T8ZzvOSJUZrMDRei6K8dP/vgBCRKj0plV5nNTQHpYJsl3scZ1DhrhnDYbbRqGk047FF4ziP6YkzjbjnjgzUNFhgttF4Z0cp8qelYtOe8qDTJsVqoZRLULz7NCZmxGH9rlJMyU6AXCbGmoKxcNNenK1p5z3zoXJuI3QKiCBCeVWb4PttFheiwhS4744MOF1eKBUSfPxVBSaMjMaweB1KL7SB8flwutKEMDUFrZpCs8mJHQfOY970NKQlhHHnAoBmk5NXNqquxQ4AnACaVk3xlJy3f1nR83MpAprNrl49PzdEyR0CgXDDQwzZq0Cr2YlwnVxwsuqad7Puo1Nc6FJLuxOb9pzhjouLVCElVotWswt6rRxiEbh/61RSlFbyF2er5mdh055yboE62AqeEwhXi1DlK9jw1+gIlWA91EcLs3nnEYshvMi0uPBqgIKwUDjiu7tKg7ygy+dkoLFNWI03cMHuF8Xx56XePjmFl9fn8/lgd9IYNkQH2sPwvFWB30Muk2Lz52UorTQFjVP33TFS0CtccrASZy+audzW1CE62F0enoG9cn4WwlRSwOsvzwIAZit/kT0lO4EzYtl2bdh9GotnjgjaPEiI0lxSft/1tqDvbWmegUTXezwlOwFvfHgSRbcaIRKJuechzqDCXbcYcay8Gdv2neVt6gjdkwu1Zmz/qgKPLRqHd3acEqwT/OX31bxnnjUUu55LIZPiTHVbyPe1Kgp5Nw/l5ciuXjAaNgcNkUiEL7+v5m3+zJ6cgnd2lnLh8E+vyIFeI/zbMkznvWJzud00EyTs9uKmo3hm5SQYtLKQGzLVjdZePT+DcsOEQCAQukDK71wFDGEK+AAsmz0S99+RKVjbcMb4JO5vWUf9uvoWO++4VzYfx4GTDZz8/3dlTXhpyzE88fLXqG6yBy3OXtvKL+9zNeX+CYTBhFD5iqI8I8K1Mp7oTCAu2guxWIQ4gwpLZ43AmoJsZA4z4LfLbsKS20Zw5T7klAQ++L2uBbcYoZT7DVT2WrkTk1FcUi6oWLzuo1MwhCkRZ1Dxrt11ccwez/h8vPFF3pHDBwAeL4P6lhBGcb0Ff333MLLSornX2PPIKQnSEsMFx7EH5mbhu9P13GK+4qIZxZ+VIX+qv9xJ/rRUfLCnHGYrfxwKWmSLgu/vlOyEoPJCxSXliNL3HH7Z7bUgUKblGtLb0jwDiVC/Z3S4isuLBToM3G0neKreckrCGXeB96Qwz4i931VxmzZC/WNjQL+ZNWkoAHBhwHEGFQpuMaIoz4hfLZ2AzZ+XgfH53+96rRX5mZCIRWhsdXClerRqCq9uOY4LtWacrzWjIDcd99w+Alo1heKSckRHdPZJOSWBWkFBp5LikYVjeOd+eOEY7D9awx3L5nKnDtEJPpfflTUKlvphNwv2HKoMav+NUtqJQCAQukI8slcBl5uB2+OF28OgqsEsOFnJKDEKbjFCLAZGpkTgF4vH4o3tJ4OOY0Pq2EUc670tvdAqeN6u5X3I7iuB0AsCVD2bzS4o5FLAx+DlzcdR12IPqU6sUUixYMZwLqyWNYA//fYCLDYai2eOQGKMBj6fD2sKxuJMdRscLi/+d7IOv1ueg5MVzYjSK7m+K9SnyyrbcO/sDLyzo7P8yIjkcGwsKeMdG2dQITlWi/xpqRgap0WcQYV509Pw5of+fNdt+86iKG9Et0rGXccPsRhYkZ+JMyHCMasbLMi7KRmTR9PY8fV5yGVi5OUko+RgJdfWe+/IgNVN87yoobySgX+H9G5f4ph23XlAB6GCbKh7HFTbN+AZZw3YJbNGYP2u09jZEaI7JEqNxjZ7p7o1OsJxZeKQc56L9iIqXIWRyXrMnJQClVyMwlvT8ermzlJObF45+3wW5RkRE6GCSCyC2eqC1UHzvP/s8WolheKSU7zXdx44D5e783sU5hnhYbworWzHht2nuZD8oXFh+OJwJQpyjbw83iW3jUSUXil4zxgGghED7GZBV3G2rFQDRD4fzA4PL52IlNwhEAg3AsSQvQpYHTTCNDJs2F2G/GmpXH1IdpG4/0gNEqK1XLjVtn0VWDkvC1FhCp7QBLvAZHHR/rydgluMiNKrUJSXHiTU0rW8T4RWDrOD5M0SCD3C5lqqKJRWtaO53YGls0ahqsEM+ID77hiFtz75gVsUPpCfifKa9iAvUeCGkz88Nh1exscLiVw1fzQoqb/mZpPJ0RH6KOYWtoFCMUPjdDBZHZg3PY2n+vpAfiZMVjfqWuxcjmlgWOSK/Ex4PF7UtdgRoVVgrDEGa7efCFJTDVQyDtfI8PiS8R05glJEhMlhtdKINagEF902hwcbdpdxIc1xkRq880lwCOiq+aPhsHs58bqui2y/F41fb3bk0Ig+MUCvywV9T3m9Awyh33P1gtGoD1Fah/XAlhysRHykxi+q5vOBYXxobndwKTZsP1ArpEhL0CPOoOJyTdlzoSNUuNnkwF0zjNi8txwLfmLEq5uD67vmT03FzgPnMXtyCjQqCi8E9JeiPCMv13ZjSTkeLRyLFzYeCTrPvOlpiApX4qcF2VDIJPhkfwWyhhm478/mxsopiX8s2FOOZ1ZOgs1JQ62g4HJ7IBaLgp5LzkimvbjYYocuMUxw84fNv2XTH1il767q14Ntw4RAIBC6QgzZq0CETo42i1+Q4UhZQ5CIycr5Wdj+5Rne5Pj6thP4zX03caIugSIsLHEGFdQKCsWflQcd4xdqyeIEM+SUv+Zl15IiJG+WQOgeNoRPq6aw/M5RGBoXhoZWG+Kj1Ljn9hFQKWRoaLXD4nDD6fZ2GxnhX4wrg/JrX9t6HL9aMh4HT9Zi1uRhWJGfAbvTg6I8Iz47WClgCPr7duA53tx+Er+4exxsDg/klCRowb12+0k8tmgs4gwqhOvkqG2xoa7F7+kqyB2OCJ0SDa3+vy02Gr9YPNb/3QMW9w/MzcTuby/gnlkjg8oMBS662ZDmny0aKxgC+trW4/7Fv17hN96EFtlqKujvPjFAyYL+miCTijmDVCwSQa+WITFGg+hwJVeGbv+RGq7Uzs4D53H/HZk4U93GqfgC/pxx1sjt2g9W5Gdi6xdneGKJ2/adxYr8TFjtbpypMeHH2UNgcdAhUgHQkTvOoHj7Kd4zGrgBxb4WGAIdeJ6EaA02fFqKrLRoiMVAQW46XLRwGSoZJUZdix0u2gObw4O/vNNZduuXi8fhmZWT8F1ZIxims8aynJKgusHqr6XcsdkhtCETuEZg04l4ntxBtmFCIBAIXSGG7FXAoJOB9jAYmaxH0a0j8NrW41wYEAB8sMef11NaaeI+46K9aDU7kT81FTEGFdqtLkRHKGGx+XPL5JQE987OEBRq+d3yHGjkEujUFFJix3OLNQA8mX7BiY5AIPBgQ/i0oGBzevHmh8d4xtu+789hrDEGMREqVNVbBSMuhsXrUJBrhFgkgo/xISlWg7nT0jg11G37zuJMjQlpiRF4desxzJ6cgugIFd765BTuuyNDwPA9wVtks6/bnR7sPHAOt92cwh0fWNKD8fmw6NZ0uFweAKznyold31zArElDER2uxMMLxkDRUWv17xv4xvCbH57Eo4Vj0dzuV2ddU5iN6gZL0KKbDU0WIXRIMOPz8cOCuy6ymeC/+8wAJQv6q4rZTuNvG/glb+IMKiybPQoutwePLRqLc7VmDBsSBpvDjd/cdxOsDjckYlGQ+BKbQ/rwwjE4WdGK/GmpAPwiSWu3n8SawmxU1lsAHxARpsBDd2WjoqYNMQYVGlrsSIjWovRCW5CgWu7EZCTGaPCrpeMh6+IlBoJD6+WUBPKAKInA12WUGLfenIKGjpJW2/ZV4OG7xmBkst6fZx4wFsRFqjty1aV4cdMhXv/624bv8efVkxETocZrW/lh0DsPnMeIZD3vmQ3sD1KpBP8s/p4XxUXSiQgEwo0GMWSvAmYrDZlMhDumDIPT7UVBbjo34VlsNArzjJB0kdmSUxKEa+V4dctxbsH6yF2jsaYwGy6336tjsQuLlng8Xuj0iqCFYFWTsLALmegIhNCwIXwzxidxua+sceimvZg3LQ3//uQU8B3w8F2jkRCtRk2jjfNE3X3bCGz/8ixKK02IM6iwasFozJmSiuoGKzcGPJCfCdrjhUJOwWKj8c7OUhTlpcNio1FZbwnpTQqEFYgba4zhwpOFVNKL8owwJodDKZdg8cwR+PSb80GerpXzs6BVUqENUKsLFhuNtz45FVKFXU5J0NBqx9D4MMHFP+uluySIATogEBLUmpKdgH+8fwRaNYWfLszG9i8roFVTmD89DW63f96SyMSc+FLXZ7a+xR6Us7rzwHlU1luwaY8/rPaxRePw3LsHuWMenOfvV3sOVeLe2SNhttGQSkQYGqfDxSYrKustEItESI7TCIYpsyrlbBs8Hi+vtBQbHVHXbIPN6YFYJML86WnYuu8s3v/sNApy03kGqd9T7MKagmzYnMFeYq2aQkOrHS3tDjxaNBY+nw/1LTYuSiKovwT0B7PTw210B34HIuZEIBBuJIhq8VXAZHXDx/gVEP+x4Xu8sPEItu07i9snp3A1Y1MTwnmqgw/Oy0Kb2cEpNcYZVGB8wIsbj+LFTUfxp7f+B5uDFlQvVSuEjdLuVAvNDhpVTTaYnZ4gdUQC4YZABH4/EKMjn9yFJ5dNRJhGxhmxt09Owf6jNWAYoKrBgtXzRyM1Xge1UoamNge27TuLTXvKsW3fWTS1OXBTRhwi9Qrk5STjz28dwt83fM8bA97cfhLhOiVazf7c1zUF2TAm6bFqfhbEIpFgvzUm8ceMwjwj9hyqhFwmRrhWhsUz05E7MVkwZ9dsc6P4s3JE6uVYUzg26JjXt56AVi0TvK5UIkZCpAZrCrJhsdHYeeA8CvOM+MXicZg3PY1bdC+ZNQLhWjm27zuDFfmZQQrQqfE6iMUiMu4MQoTmGtYz32xy4lxtOwrzjKAkYtAeBs+99x2aTE683ZFPXXKwEvlTU1GUZ8Rji8bBbKc54xHozE3NnZjM5cQun+MXQAs85o1tJ+GiGe462/adxfpPT+O59d+BYXzYe7gK2/adRX2zHQ/fNZr3jC6emQ6lXIKfLsxG/tRU7DhwHv8sPgaLzc217fcP3Ayny58XvmlPOb78vhoROiXunjkSS2eNxKY9ZUHh/clxYRiZHAa1guLdI7bs1gsbj2L9p6fxQvERNLbaIRaJYLHRPSpZD0b1awKBQLhUiEf2KqDXymG2u7l8MoAvNrHp83JY7W48uWwiWs1OyCi/WMSS20dh/e4yWGw0Hls0LiiMeN1Hp3ivs4tZF+0BELwLG0rkpMnk5MLAgvJmRf4wsasmDnW1z08g9IaOmoyh6jDHGVR4cG4W55kVytf72aJsOF3eoH5eXFKONYXZmDE+SbBcCDsGeBkGh3+ox603pyAyTA6n2wun2wOdmgoSPvIbASIuBxE+cAbk8EQ9Xtx0FJREjGV3ZAh6Ve0Of/7eixuPYeW8LOFIDYsr6Lor52dhSJQKapl/sRyo6qxWSKHXyhEdrkSbxYmdX5/HyrlZKMwbgcr6djy2aBwcLg8idHKEa2VoaHHg8Ze+Jvn6gxChuSZQrMvh8ufH3jt7FJ5/3x++7qIZLmd7xvgkyCgxEqK1UCskYMKUgs9ofJQaYhGQPzUVNifN86iyx9Q120Km4bB9r7ikHE/eNxFPrchBq9kJnUqG+hYbvIwP75ec5oXrOtxebP+qAo/cNRoM48PbO0q5Da68nOSg+ThQbdlFe+F0eXDqggMbdp/meZ7Zsltd2/ib+yb60396CqMnud8EAoFADNmrgU4pRUObI2QOjpyS4GKTFZv2nOFNfA6nBw/OzYKMksDUIRbV9fNOtwdrCrNR12yDSARIxCI43QzMTk+wUSgw0YnFIm4xyZ6Ty5vtUGtlhW7YnKIhkergc7MGqc3NqTBqVLLuDVMB44EsZgn9ASvoFCoPNfemJLzxoV/h1017gwSMtGoK9c12hGmExZ6crtDldNgxQCIW444p/vy/Z946xPW5mAgVtCoKi2emI1KvRGWdBd+cqIVBJ4ecEvMElxbPTEfFxXZ/uPLcTJgsTsGwXpO1c2GtkEtClv2IClfgDw/eDJPFBYNOAYNOBjAIKOlB8dISwpRSROlVqG+xYvyS8Zw3SK+mYLK5ERuugU5FBeVQknz9QUbAXGOnvVBREp5Y15GyBqzIz4JIBC7nlVXpZhV4gU6V3zCNTPAZbTY54KYZbPq8HAW5RsFj3DSD+hZrtzmwLtoLm8ODF4qP8MKZVV2im+SUBENjtfjV0gloaLXhYkA5oZ42qtjPU1IJXvrAL/DEls0Ri4FhIerIumkGuoheGqQ+cH3OZHUDIhHZHCYQCDcU16Uh29raioiIiP5uxhURrhOuq6eQ+SdMoHPiW1OYjfW7SqFWUvjhfAtcNIMwtfBEHqlX4mRFC6QSERKitXj7k1OcgqOgUejrfd4sAM6I7ZoH19Vr29UgZVUml9w2MqRhKmQ8kMUsoT+wOmieANvew1V+L4rIH/KXEheGKWMTIBL5y99cqOusBx2pV+C+OzJQ3WCBWkkJ9tN2m4v7t1Cu6Ir8TGz5ohw3Z8ZBJBIJ9rnlczIgpyTYf7QGU7IT8MqWE9CqKa7dbD5fcqwOjxaOhUTsw4dfVmDxzHRs2F3GM3Y//u857voNLfagYx6Ym4l3d/3AjSWPLBwDl9sDs13c/cLYBwyJ1kAm8nF/A8F5rUI5lCRff5DRMdekJkWgqcnCiXU998iPUNNsQ1W9mbcJc+/skUHP4fI5GXC4aMQa1Fi9IAuvbjkRZGgadGKuhI+QkvY3J2qxYIawkcs+n/78chtvLiruKKvzQH4WahotoD0MhsaHYcveckzKivfPbx3q3YwPUMqFBaPYXHY5JcHDC8fgbE1nDeZAo/3PqycLz/Fh8t7f84C5uMfNZwKBQBiE9Lsh29raimeffRb33XcfUlNT8eCDD+Lbb7/FkCFD8PrrryM1NbW/m3jJWJ0eeLxM0CRblGdE+tBw/GPD97jjxykA/BNfdYMFd91ihJv2YNc3F2Cx0XhoQRYWzxyBDbtP84Qj4PPhy++rufDHe2dnoKbRAreHwfpPS/HEkvHCC8MODypFCXtj9GoZt9jMH5/KLahZkZvqRguiw5UwaGWCBim7E92dYUoWs4TrAhHQZnVj+1cVQRsxwxPCoFYMw7PvHuYWhj74MDotCpRUDJEIUMiknKqwPwQ5E28EiMHcO3skYiJU8Hp9WDV/NE/8ZeW8LIRpZGhstWP8iBiMTIkA7fZi1qShQd6ddR+dwrzpaVh4ixEWuz9Cw2Xy8pSLf1Y0Fq9sOcapB//mvptQcdGE39x3E87VmhAbocE7O05x7xfmGXHgRC1mjE/kwpSHxuo4I5a99ksfHEP+1FRs/6qiT6ImAmtgshBhmkFGxxxTf7YJKrmUM6QYxoeqeisn3AT4n7F3dpRi8cx0/Pb+m3DuYjuGxulgsbmhUVL47Nvz+NGYIfj54nGwO2mEaeSob7HB7qRhCOusOwsABbnDIZWIkZqgR0VNG+ZOS8M7n5wKEpBakZ+JjXv89VZXLxiNNosTkXoFLwyY8fngcHq4OrascR0V5g8jDixNtXxOhqBg1KgUA3559ziEaxUw29xIiQ/DyGQ9r0qBnJKApoOFpB6YmwlJVyXIbggsFdZ1I+yRhWMQrpH1HClFIBAIA5h+N2T/8Ic/oLa2Fmq1Gh999BGOHTuGdevW4eOPP8YzzzyDt956q7+beMm022m0W13Y0RFGBBEAH7DjwHnER2lgsdFIiQsD0BnS98a2E5g3PQ0Ftxhhc9IoLinHrTnJvHqPG/eUcarH35yoxaSs+KD8nHaHOzhPpsuubVcDe9X8LOjUFMCKzIj8oZNFk41QKyms+8gvqLFtn39RG6YWVjdlQylDGaZkMUu4HjDbabz0wbGgjZjHFo1DdaMVG0vKoVVTuPPHw/DpNxeQl5OMf77Pr92oVVNwmbyoa7Fj894zXFmaoXFhaDU78Nd3v+MM3V8tGQ+rk4ZaTmHLF+WYmBHHLTi37atAUZ4RkXrhnEDG5+NqTAv1nUChNxftRUu7A8Wf+T1LxSVlnGpym9mF+o58xNyJyVyeHwAU5BoFcw3Z/twXUROh8vVJTt8goZu0EZPVHbIea0yECl9+V4WM1Cj8+e1DXJ95+K5snDzXjKRYLTbtKQftZbg8WpFIjEi9gjMA4wwq3HWLEX9c51cvLsozcrm3gfOvSiHBkttGor7FjvWflnJzaWAZKbFIhPpWe9CG0u+W5whuNP1/907A/wuoC7siPxONbTYAIvzfuoO8ORa4gNJKEzeG0F4ftuw9w2vjlr1n8NOCbKjD+MJZoRDafGbb19ebUQQCgXA90u+G7IEDB/Dee+8hMTERf/7znzF9+nRMnjwZQ4YMwdy5c/u7eZeF3eVBhE4Bi43meU/klAQaFYXCPCNoj38Cnv+T4fjs4AVu0cp6YfJykiGjxGi30pxHh4UNR+5aa3JjSTkeLRyLUls7b9IK9KC6TF7sOHAe86anIUrvN5A37SlHSqw/v21NQTaa2x2YPTkFLppBcQlfFfLFTUfxzMpJIcO2ujNMyWKWcD0QKjKgptHC/btg0nBs2F2G/KnBC8TiLnlwdS12VDdYEBOhRm2zlXd8XYsdf13/HeZNT0N8pAr509I4sZvA8z1aNDZkn3LRXticNFbkZ2Lt9k7vTWGeEf/++CRmjE/Cps/95UhYb1O71cXVsbU7PfAyDABgxoQkRIcHG83dhWF2GzUhAi42WlHfbOtevI0I0wxquksb0WvlnBJ312dMo5IhN2cofv/Gt1wEUF5OMv74704jcEV+JrZ+cQabPi9HUV46/vruYSTFavC75Tk4WdGMkUMjOCMYAFeXtmvu7ZrCbLy65VjQXMoae0V5RkRHKPHWJz/wvpuL9qIxwLgNfN1ip7mc1+GJ4dh14BzycobiH13ywV/begK/W54Ds80NjVIKEQC7y78RFrhGAACb0wOE9e6+c2rR3eTjkxQeAoEwmOn38js+nw8ymQxutxvffvstpkyZAgCwWCxQKBT93LrLQ6Og4HB5UJhnDCqX4XR7cehUHc7WmDFvehr2HqrEWGMMb9HK+HzYWFKOlHg9Yg0qwQnK6RYWmWk02fDipqMw2zvry3VduDebnCguKUNDm38SrWux+3NkOxabo1IiUFxSHnIX3eakg2T/C/OM2H+0pnv5/4DF7NMrcvDMykkIU1MwO0gpDsK1I1RZKjfNID5SDTklQYROyVsIBsK+HvjZxBgt7A43YiKE+2tKvA4eL8PLtQ18v6HVhlXzs4L61N7vqrjcer1GhvypqSjINSJ/aip2Hjjv96SKOkvcUFIxpBIRbE4P9h6uQnFJGf75/hG0W91IjNFALAIUMgl3nUi9AnJKjFXzR6MoL73jb3/Y5N7vqri2CG5OdXjhHv3HPjy97iCeePlrlFa1h+7LHTmUSZFq/4KaGLGDhu7TRqRIjdehqMt8uHhmOt7b9QNP2FBIQGnt9pNcbmpijAYu2osz1e2oqm+HnJKgpd3Ju/bew1VBc++K/EzIpGJhr7BBhSfumYCkWB1cbr+acEGuEQW5Rq4/BPYZFjklgUwqgVgMJMZosXb7CaQlRsAH4THD5qDx7s4f8NQb3+KVLce5jaeu51TKO/wLXcuDCfQrdnM4VMmurptRBAKBMNjod4/shAkT8Kc//QkajQYMw+AnP/kJjh8/jmeeeQY/+tGP+rt5l4VWRUEiFXG18diwoZKDlXi0aCxmTEzGZwcvoKreyu3msoIsgQZtu81f5kI4pFD49Si9Clo1BavLy5W4iQhT9Ch8wS1UfYDN3lm4PVQocFKUmvOuqBUUXLQH44aP71XJAJ2KwsVmO/4SEJJFQp8I1wqhyAA2xHD2j1Jw7+yR0GlkvIVw1z7ACi2xn12/qxRTshPg9jKCx0vEIljsNLJSI7FtX0XQ+y43A4fLg8eXjIfD5cHFJhtXXse/CBehrNLM5fUGfjY5Vot509NgCFNg6xdnkJUWje1fVfDCJiO0ClQ3WFBcUo5IvYLLCe5aUmj5nAzYHDQcLpoLtwwVNUHE2wgs3aaN+IDUeC00GhnWFPpLVpmsTvz32EVMyooH4/N1fjbExlF1gwWGMCUa2+zcsVv3VWD+9LQgwbVmkxMlByu5cH9jUjgoiQhSqbA+RFObA1F6Jd7fXYqbs+K5XF45JcGy2SMRqVehsc2Gh+4ajVc2d+a7L56Zju1fnkH+tOGoabTg1puTkZag53+fgOsAQF5OMr45UYu509JQWW8W1NHQKaWwujw4V2fBq1uOdz9HdmwOJ0arEWtQ8Y5n+z/vtyAQCIRBhsjn8/Wr6dDY2Iinn34aFy9exKpVqzBr1iy88MILOHfuHP7whz9Ar9f3Z/N6pKXFCobpcgtFgMXtxbmadl5NxlXzs6BRSvC3945yoYlFeUYkxYEagh4AAJklSURBVOhgsjrx8f5zyMtJ5haw+VNTsf9oDeb/ZDgvpPChu0YjTC3D+Vq+CuSDczPh9nh5tS3ZCVAmFfNqxxblGbGj4zpdJ0iz04MnXv66e/ViXH49WLODxhOvHAia6C9lARwVpfUrYxL6lN7c16go7TVqTfcI9r3eElA+SiwW4XytGTanB8MT9Whrd2DblxXIy0kWNPYenJuJMI0cbo8XDS12fHawEgtmDIdOJcPFJiukUjHW7+oUaXtgbiaKS8rQbHIizqDCgp8Mx5sB/bkozwhDmBy01we704MDxy4if9pwXKhrB8MA+4/WYOEtRrjcHkilEt5Y4A8jdsLm8HJjxWcHL+BMtd9bxYZNFuQOR5xBjRc60hEi9Qr8dGE2LyQT8PfDedPTMD49CjYn3W0IcFWTDU+vOxj0+tMrcpAUqb683+U64HodW67rfteL0mrsvMLlZt9i9If03moEfPCH7E9LxfYvgzdrHi0ci21fnsHkrHiebkOcQYVV87LQanEF1V0OzH1dU5gNk8UJj9fHU0leNnsk4qM1uFBrxtA4HV7bepzLF4/UKzB7cgo3l8YZVFh2RwbcHv9npRIx7E4aNY02fHe6HjPGJ6LdRkMuE0OjlPH6KRu2/Mn+c1zf3nOoCvOnp8Hc8ZmYcDV88EGnkuFMjYnnmWbvg+Ac2TGWWR005DIpbE4aIpGI+y6Xs1F8vfaBvuJSv9913fcIfcJgf+avR/pqvdnvhuxAJ9TAcrbegs++vYA7p6TCbHdDp5Lh4/0V+PGYBPxz4xEU5Bqx/csKPLZoHNZ+dAIWG41HC8fi35+cDBKhGJmsx10zjDhTY+IWtrfmJOPAiVqMNcZwpTjShoTB7WHwwsYjghMgAF492VaLS3ihGkrS36Diwoa7LlpWLxiNYfE6aOSSHifLvlgAk0Hn6nDDGLIAIAYuNjvQYnaivsWOPYcqYbHR+NmisXj2P4c5xW6lQoI4gxpisQgMA7yzo7Pk1Yr8DMRFqlFVb4HPB/xnZym0agozxidx/VJOifHOzlLusvfdMRIerw96jQIKub82JsP44KIZbNt3ljM+u/bh/Kmp2PtdFR5eMAZ2lwdhajle3nw0SDV1TWE2Kuv9v6FaIQEg8t8nEaBWdBoBS2eNwLu7TgfdlseXjMfIxJ4XvYEbXoHfd3JmDDTyfg/2uWyu17Hluu93HQYVV0e2m3nFRXs5b2SkXsEz6LQqGU/Jd+msERCLRXinQ6AszqDCA3OzYHXQqG2ygZKKsOd/VZiSnYAYgwoNLXbs/a6KUyMGgDUF2ahvtWP/kRrk3pQEvUYBnZpCu83Nu1bgvMsa2l374X13joLd6eFtbj2Qnwna4+VE1NiKAk6XB7XNNuz9rgoWG43HFo1DQ6sVNqcX27+sQFKsBgW3GGGx03h9W6ch/sjCMfj7hu+DbnHQHBlqAyE5DGYbfdn56NdrH+griCFL6Mpgf+avR/pqvXldrDa++eYb/PDDD3A6nehqVz/yyCP91KorQARoVBQuNtlw6lwrl9tyscnG1ZcVi0RYPicDW74o5yZciVSEe2ePQnW9lZtMASArLRp/Xf8db0LtKjgDAL+9b6K/zmRHwXm2NiabH8PlpnXALTa7jovdCbP4/B7VriGFr245jnnT05AYrelx55eoFxP6HRFw6oKJUy/mwmqdNEQIFospykuHMUmPZ9873CV/7xSeWDoB7+woxS/vHseVzNr0eTmvPFZBrhF7D/sXszERmiC18Z0HzmPGhKRuwytjDCrkTkyG1+tDZb0FsRF+sRjW4GbHmWaTX8CNjd7wehm8vq1T4fWxReNASUXQqYRrVQ+JVPVq0atTSvHLxeNQ02TlRYDERaqQEte7TS3CIKJrHVmB3z4xWo3fLc+B0+2BVkVh274KNJuc2LrvrF+VWCqGWinlyuuIRSJoVRT2H73IS9OpbjAjXKdEcUkZp7q96fNy/waxgPEZqVfig8/9at7sRk5RXnpQSaCNgfNqiH6oU8vw1sc/8D735vaTmDc9jXutrsWO59//HmsKs3lzdEu7HWkJ4Whss+P3K3Lg9TJgfEBjWzvyp6Vyc3ar2YmivHSuxBA7dgAi7h4APYf3B9ZyJhAIhMFIvxuyL7zwAl599VUkJSVBq+Vb3iKRaEAaslanBx6PNygkeEV+JlxuD1bNz4LZ5samzzuNWH/eKwWrjYZYzFd1EIt7FpyJM6jgcHnx3PrgBbLFRl+6kdixKAmaCEXAxRZhBUfG5+tVjtxVUy8WXX64M+HGQqgEz7qPTmHxzHRo1bKg3LWYCBXarS7B577d5n/dbKfBMAwKcodDLBZBr1XwDFY2vNBqd+Hxu8fD5fFCq6JQXW/BjAlJUMo7xV+EDMyGFju2f1WBpbNGQCmTQCGXIM6gEsxzZetjvrL5uOAC+9mHJkMsFgnm6LH5vz3iA6L0Ci5lgb0f7DV7s6lFuEEQ8Bw+WpSNJbNGYP2u02g2ObH9qwr84u5x+Pt73wc9+2zkEhsqnD81FQ6XLai/HClrwKr5WUFhxjv+W4GC3HSYbU7OII4KUfJK3CGBGUppWaUQLj/HdNmEd9H+NB+WOIMKKgXFK8vzQH4mtnxxhovwYEvrAeDl6hblGSGXSfD6tuO8WvFXXJudzJkEAmGA0++GbHFxMf74xz9i4cKF/d2UPqPdTkNGSTkjFuhUX3z6gZshkfhD/fw7rP7JceW8LLz8wVFuQgvMYR05NEJwQlXIOifxVfNH8/Ld2N3ledPTIKfEaDI5ubDgK5m4zHYa1Q3WkOJRvZpEr0Ypjl7kaBEILM3mTqOU9WjKKDESojVYv/MH3DZpKFeiqsnkQJvFATklLLDWanZyhmagB/e1Lcd5/bG4pBwFucOxac8ZLJ45ApRUxJXQklMS/LRgDFYvGI2NJWUozDMGGacl/6uEi/bi3V2nMW96GrbtO4vVC8bgh/MtPG/Ouo9OcV6lUAtsk80NaceG2ZrCbDjdXpgsTuw4cB4p8bpehwaHWkj3dlOLcGMg5Dl8ofgoFs9M7+JptQg+T3YnjfvvyMC7u0o5waTJWfFYNT8Lm/aUY/HMdHz6zQVMyorHpj3lnIji0LgwbP/yDCZmxOHrYzWYOy0Nf/z3/+Civbjn9hGC/TkxRouCXCNSh+i4CIvAzWiFXFg0qusGkP8YDwpuMUIsBkalGHjlf1hPbmBfDVVajx072AoDbJ+6ouim7uZMAoFAGCD0uyHrdrsxadKk/m5Gn2J3eiCRiAQn5DazE00mJ5JjNdxkm5UWiZc2dea6sRPXE/dMgEohhSSE5yQz1YCnV+RAr5bBZBNeUEbplXi/5DQsNhrPPfIjVDfaQk5cvTFwTVY39hyqFFxos7UsezWJsh5fFQWznUZVYw91KHuAKKgSLgVlhxq4kKBZYZ4RdpeHO7a4pAzDE8Nw54+HBS1s2QU0W+syUq/gcsqF+qOvY7Nnw+7TPE+pi/biX5uO4YG5GXhwXhZqm6z4zX034Ux1G1xuf+5sXk4y2iwuNJucSIhSI1I/FH9663+C+X1stEaoBXaEVo7KBn5IcGGeEZREDKlUArPT06u+GGoh3etNLcINQeCGR2AoPCuwpFFRuGuGkYtK6Po81XdEIyyfk4H/narDpKx4FJeUIylWg6WzRkEiAVbNH80JHHWtH/vWJ6eQOzEZL28+xil2K2TSoHl18cx0vPXJKU6YbXl+Bh5bNI4TXtv6xRlO2ZzN2ZVTEqxaMBput4dru9/bmgFAxIU6B/VRBEdWuWgvXCFK67lohj+/ioCmNkfQd+htdFN3c2bUFfzWBAKBcC3pd0P2tttuw9atW7FmzZr+bkqfEaGTw8sIS/DrtXK8sPEofrZoLDcxn61u4wm2AP5JxU17MTRajfKLZuw4cJ63c73jwHnERaphjNf5PyASIc6gwpTsBG5i3H+kBg2tdm7SNDs8nIBT/nj/uaobrUiK1aCq3torb6ZeK4fFRmNnQHvEIhFsDppTQO61d7UPvahXHGJFuKHQqigU5RnhopmgupUbO7wfMkoMs90FOSXBWGMMXt58HFo1hYLc4YjQKRCmkUMmEWH1/Cy8/1kZbs1JhkZFYe32U8iflirY/xOitSi4xQiIgKRYDRcCzF5bp5ajrLINSTFavLrlGGgvgxnjkzBlbALcNMOpqIrFYrz54bGgdrNCUfCBE2FzdVlgrynIBsP4gkKrN5aU47FF4/DP4u8F1cyF0CmleGzROMGcX5L3TmBhNzyENo4eKRgDsQj4x4bvoVVTWJGfyUvJYZ8nNvyf9Vhq1RQmZcVz4oasIcowPjjc/ud67+EqVNZbYLHRGBKlRl2LHTsPnMd9d2Rw5wicxwBw4csLc41oaLHjPztP8/rxu7tOoyB3OG8+psQivLf3DBbPTEdijBZOtxdhahle+uCoYB8NNLQD+5c/n1e4XN7QWB1+vmgsN7+a7TT+1nHPAr9DYrS6V/Nnd3MmgUAgDBT6xZB99NFHuX87HA5s3boVn3/+OZKSkiBmE1Q6eOGFF651864YkQiAyBc0IRflGcHA5w+9Y3yYNz0NtMcLm9MrOHFF6hUw22lIJCLkTkzGnkOVvJxag07BHa9TSVGQa+TlBq3Iz8RnBy9wxztdHsGFRFykCsWflfXKmxmY38p6YB9ZOAbhWpn/+EsIEe5LL2rgQilQQTVCK7+k8xBuDDRyCWIjVXC6GN7GDuBf/LpoBkfKGnDnj4d1GLx+L4kWVEdpi85+9sDcTNycFY9IvZILCdx7uCooauGBuZmgPR6eh4YVmHK4vNh/pAbnLvpLaskpCe6dPRK0h+GVC1mRn4H778xAbbM1ZH7fynlZsNhd+PW9E2EIk6Pd6sIzKyfxyulUNdoEP1/TaOHGmF71RR8wKSsOseGTcbHFjuoGK5eX3yd574RBATtvVDdagzaOXtp0jItOcJm8+OzgBTy2aBzsThr1HYYnz4PZ8f/88alB59qwuwzzpqdxYmdFeUYkxenw5LKJsDk9KMpLx55DlahrtnHXCxRj+lnhWBTlGbkoqSljE0J6R/d+V4UZ45MgFgNSqRhRYQqoFRSe/U9nfXQhDyy7xAnMkWX/XjkvC18crgpaO6zIz8TH+8/ijh+ncu1gDdGu32FEsr5XqQFEdJFAIAwG+sWQValUvH/PnTv3ql3r+PHjeOaZZ1BRUYGwsDDcd999WLp0KdxuN/70pz/h008/BQDMnTsXv/rVryCRSK74mk6XB83tLmz94gwvV2fLF+UYEq1BnEGFhlY75JQYbpoRXPQ+dNdotLW7QtZ+XTkvC4YwGdAxB5ltNLe4BjpzctcUZmP9rlIsuW0kIsP8YY9dJ/9XNh8PUkAO6c3sKb/1EhatfelFDaWgOuAFZ4gYR98ScD9jDWrYnR5erUi2nwHApKx4zgu7Yk4m5JQEM8YnBfWfNz88iaeW5+BsjYl7vdnk5KIWYg0q1LfYYXPQePND/oYRm8+6/asKPJCfid0dG08u2guzjQ5SVV27/RR+efd42JxuwUVoUowOMqkIhjAFEqNUAAOow/3jrUHTsUD1hV7EummG+7u3fVEsFvnTBBLDMMSgwohkfd/kvRMGDx3zhlwmERzzA/O4z1S3Y+1HJ/DThdlcSRoWOSVBmMb/7MoocbfnYlN0fnn3ePw5wLgsyjMiLlItrDshl4JhgFazE1PGJgiGOscZVDAm6BEZpuAUkNk5u+uGsJAHNilGh0cLx0KrotDS7sCSWSPhdHlhsjrxweflWDJrJNbvKuV5fLd+cQZTshN4m0uXZIgKzCPdii4SCATCAKFfDNm//OUvl/yZl156CUuXLkVYWO+FCBiGwerVq/H4449j7ty5KC0txeLFizFy5Eh8+eWXOHv2LHbv3g2n04lVq1Zh3bp1ePDBBy+5bV2RSiR4tUPoJXACmzc9DTWNVizMNYJhGBSXlGPGhCQ0m5woOViJRwvHwkV7ER2uhFYpxeMvfc2bFNm82fO17fjg83IMi+tZvbC6wYLFM0dgZLLfmAuVu9fFEd79zmwoReNLpE93hEMoqA7oPFkiYHXpdGf4d7mfcQaVf/HZxTAtLinHr5dNhMPp4Twedc02rMjPREu7Q7D/nK1pQ1KMjvc8s0qs7EK2INco+FkZJUb+1FQ0tzswb1oa/t2Ro8f4fILHV1w0cWGUgd7aojwjRGIfosNV0CikAIOQCC1i2Y0ylkvui300LhAGKT4gMkw4bDYwj5vNMzdZ/VEFr287HlC3ORPNbTY8tmhcyHzawOeO7S9d+/evlo4P2jxePDMdXsbLi5hYMmsEHr5rNF7efJwbMxbeYsTZi+1Bm0yhNoQDPbCFeUauVvwT90zAq1tPBN0ml9vLy/PlEPE3l3oyRAPHwaY2B29TnJ1H+lx0kUAgEK4x/Z4j21v+/e9/Iz8//5IM2fb2djQ3N4NhGDAMA5FIBLFYDIqisG3bNvzpT3+CXq8HAKxatQrPP/98nxiybSHKdMQaVFj/aSksNhqP3z3er1rckcu28BYjKKkIH+8/j/vvzESrWfgc5VVtkFES0F6mV+qFDAO89MExzpgbEmInOlAZ+VIEI66Evi7DM9jyZImA1SXSg+FvttNY/6nf06FUSBAdrkJLu3A/M5ldiOhYdGvVFKIjVGgzOzHGGIVt+4TqVKrwxocnQoqgBR7b9bMJ0VrBHNNQ5T8Yxt/GPYf8kRxxkWooZBLo1DKEB/Qds6MbT75AZEWTyclTUiehwYS+JtSYLxKB62sLpqeh3UbjYpMNdc12LLo1HS1mJ6LDVfjq+2pMHBWH59//HkW3GoP6m9BmDNNlQ4dNEyg5WMnzegLAixv5eePrd51GYZ6ROy45VosXNx5F/rTUXm8IjxwagYJcI+ADL8zY42X86Ua+zprvckoCQwhjn10rqBUU1+bAPhyhlYNhfKhqsnWkPxznVUHQqim4TN6geYRsPhEIhIHMgDFkfb5LH2HDw8Nx991348knn8Rvf/tbeL1erFmzBikpKWhqakJqame+ybBhw1BZWQm32w2Z7MpyRAw64Ymopd3BTWJenw+r5o+GRinFo4Vjse3LM6iqt/przXo93RqmbFmdQG+J0AIhUCSjvs0BiETQqYQXEolRqp53Zvs6zLWPy/AMtpyfwWaYX216MvytDhq3TRqKT7+5gLycZG5BKvTMGPQKuGkv7p09Ei63l8t9jTOosHJ+Fl7vUqeyrtnGCckELo5pj5fr83sPVwUpjC6fk4F3dpwKCkecNz0NyXEarF4wmovuYK9VcrASS2aNRO7EJMRHarDli3KcqW7H0ytyIAFgddBos7o5MaeQnvwuHlSdiiLeGcLVJcSY32By4LFF46BRSXGmyhRUQxUA3vrkFFbMyeI2fdi88vypqYgx+Os8y2US3mYMW54nEDnlL5XVtf7yqvmjBcdbp7szsiowqkJo3BieGM7bEH5wXhZa2h3Y/mXw5ldgPvzyORlwuGjEGjT4eH9F0DjB9vvCPCP+8f73WHLbSF6ZHKlYhMoGK6/PL56Zjo//ew7NJieKu4Q4k3mEQCAMFgaMIXs5MAwDpVKJ5557DjNnzsSRI0fwyCOPYMiQIQAApVLJHatUKuHz+eB0Oq/YkFXIxHjorjF4ZfOxIKMS8E9iGhWFtz85xSuE3mY5j7XbT+LRwrFw2L3dGqaJMZqg3NSRSWF4ZuUkfFfWCIbp3P1lJ83n3z/iX9AmCxiPTA9hgVcrzLUPwxH72sPb3ww2w/xq05PhL5dLsWF3GfKndorEHClrwAP5mXiziyjbCxuPIHdiMmSUmJcTW9dih8XmxqOFY1HVYOb62YwJSZBTEjSbnLx0gt8tz+F+Q4uNhlzm78eGMAUUMinqW6yCiuVJsVqoFVKIQeOJpRNQXt0GhgFKDlYiLyeZKxEipyTIn5qKqnorRCIRnnjlAJdze8mefBIaTLgWCDxnSjmFp9f+D2sKswVD/dcUZqPZ5ERNY2ed2b2HqzjhQq2awuzJKfh4/zlOlyIlPgwlBy8EGazL52Rg276zoL0M1hRmo7rBAmNiOC7Ut/cY9sy+JqRrsSI/E5s/L+NtZG3+vBzL7sjAstkj8XZAuZ5Az7GL7syV/8eG77F8TgZkUhF+vyIHjW0OxESocO6iCVOyE7g5ne3PF5vteHHTUcE+v2F3GQpyh+PdXR2qyyL+dyDzCIFAGAwMakO2pKQEBw8exOOPPw4AyMnJwfz587Ft2zYAgNPp5I51OBwA+EJUvcFg0AS9Vn+2CeFaCr9aOgG0xwvGBzS02gB05sk4nB5e3dhAUQgX7UFVgwMzJiTgzw/9CId+qA8yTFPiwxAVqeVdl2F8oH02xEWq8crm44IG8IubjuKFn09HalLEJX3Pi41WQW/XCz+fjiHRwffgWhAVpQ16zRChQWqCHq0WByK0SsRFqiEWiwQ+ff1jYHxBpU0eWzQOKQnhV/U7Cd3X65Gufc/tEw7FjTVoEBWlwYWmem5Bp1VTKJg0HJF6JbQqGQrzjAhTy9FkcuDAiVrMGJ8EqUSEYfE6LiSPxeb04ONPTvLUv/cfqREsG1JZ1478qamQy8RIT46Axe5CZZ0V7+4qBQDcf0eGYJvrmq2Ij9Rg676zmDw6HgwDxHaU1xJSQf1pQTZe23qc+35CBr2d9l5yv+8tA+WZ6S2D7fv0JUJzHuCff+qabThxtgkRuksbe9mxzu6kBZ9dV0c5HY+3s6wdK6g2b3oaYiNUUCuluPeODDicNPRaOd7YdgJ1LXZcbLLhiXsmwEV7EKZW4N2dpzjjtrLegk17/DmzJQeDjdPVC0aDknaOK/uP1GDlvCy8vu0Ed+2YCBXsTje0ahmyhkcD6AwVBoDzte1IG6LHklkjoFXKIKPEXB584Hdk++26j07hV0sn4A9rD/LGkr3fVfH6fbvdjepGK/KnpWJonDZonHLRXug1/soGgQZ5b+eRwd4HBuL3C9X3CH3DQHwmBjp9cc8HtSFbW1sLt5tfE00qlSIiIgJRUVE4d+4c5509d+4chg4dCqn00m5JS4sVDMN3XajkUngYCU6da8WG3ad5O7YROjnWbj+J5Xdm8j7DTmRySgKlggLgwNkaE0YkhiExWhvkZVRIgKYmS+cJREBFrQUVtWbIZWI8WjgWEPkXFl0XvvUtVshEl+ZuqW8WLtdxOefqC6KitPzvH4BMBMTqFAB8aGmxXtuG9THGIdog7/nV/E7d3dfAY64HuvY9mRiCHnmZ2IemJgvklF8cRimXBCkV+yMinNhzqDKoPBXrPWH7kFgkCqqlPDRWh4/3n+V5Y0oOVmJKdgLPQ/vLu8chQuevxeyivXh3V6mgAcyGD48fEYOYcBX+/ckpzJiQxPO6sOccnx4Nl9sD2sug4BYjhsZpBY1jFSXp8be9HHrzzAwkrtfvc732OwB9ErFjHKJFi1VYjVutpPD4kvEw6BVQyqXcvGqx0ZBTYqzfXcorTXfP7SP8asBuL5QyKZra7HB7GMikYuTelIzNe/0VBdi+sm3fWcz/yXBepYHhieFwuNwwW92YNz0NjM/XYQz68Jv7bsIP51vAMD7sPHAOk7Li8fyG4Dx3i40GwwAX6s1w0wzW7zqN/GmpXPhz4Hdk75OL9uJMdVtQukFgaHCcQYVWsysoBDtwnJJTEig6BLHWFGQjMVrNUxTvbh65XvtAX3Gp3++67nuEPmGwP/PXI3213hzUhuyPfvQj/P3vf8f777+PoqIinDx5Eps3b8af/vQnxMXF4eWXX8aoUaPg8Xjw2muv9VkZIJ1Sikazi5tsgc5yOIV5Rtz+oxQ4aQ8i9QrepCMWiVCUZ0Rbu9877HIzaLG4hUOBu4xlVqcHNU3WoIlNKhHzdn4vN6SIhLn2EyTcs/f0kHOtVVEoyjPC50NQCZ2NJeV4tDBbsDxVcUfOanFJGeSUBDo1xSkGs7WUf7YoGzMnpQTls+4MEJ5x0V5U1ltAScX43fKbQHsYmCwuON0e/PreCaistyBSr0SzyY4V+VnY/HkZSitN3LkOnaoLMnrXFGTDoJXB6uo0zrVqKijHbiCH2BOuf/pKmM5kdmHxzBG8DeCH7hqN+EgVztdZ8ML7R3DnlGGcYamQSRAdoeTlxT44NxNu2p/XrlVTyJ2YjFiDCnaXEw2tDgxL0OGRhdkwWV2I1Cuxan4WXtt6Ap8dvICls0aB8fkglYiw68A53D55GP616XjQvPf43eMQoVNwIcFC48m86WmQUWJuQ4v1uAqFJXdNPRISqApUP753dgYXqcO+X1xSjkcLx3KqyEV5RsilYjy5bCJXiourL0vGAQKBMEgY1Ias0WjEyy+/jBdeeAF/+9vfEBkZiV/+8pfIzc3FlClT8Oyzz2LOnDnweDzIz8/vE8ViAIAPIVWHYyJUWL+rFHk5yZg9OYWrC7t8TgZsDhoHTtQi76ZknkHK7mx3Z8yYHR7B3KInl03sEzXiwZZ/ekWQ2q7XL90Y/hq5BMmxWojEIuRP8wu9sSGALtqLhjY7YiJUgv02MUbDKY9u3XcWALgasSoFhXarEx/sPcOFOSrkEryz44egTaSUOB3WfnQyKG/v3tkjEalXcKJS7OK2qd2JZpMTGzvqYTab7PjNfRPhphlE6uRc/2O8DNf/XSYvdnSEPaYlhPGO4yDPMKEPuWJhOhHQYnGjorYdcpkEBbnD4aIZiEUipMRq4fUweH/3aUzJToDd6cHIoeG4UNcOj9cHs9WN395/E06dawElFUOvVeCv7x6GVk0FRVesKRyDuiY7V3NdTknw8F2jcc/tI6BVyyEWA+/uKAXtZXD75BSYQlQg8PgAg16JJ5dNhNUhHA4dpVdi895y3JqTjB1d8ujZaA6xGMgYZsArm49xaUMP3TUanwZsgAH+sSPbGIURyeGQSiU4faFV8JpVDWYU5qbD7qRBScV47cMTsNhoPLNyEgxaGenjBAJh0DFgDNmUlBRQ1KUr7E2bNg3Tpk0Lel0ul+Opp57CU0891RfNCyJCJ+zB1KgozJkyDE53h6F538SOfFkbHG4vfjxmCLbtCwhRBLD+01I8sWR8twsCp8sjOLHRHqZvlEj7WGF4wEJquw5oLA5aMH/cYqPhcHoBOAX7rVIuhVgkwp7DlZxxuv2rCqwpzEZDqxUp8WG47eahcHsYbNxThltzkgVFZtZ+dBJTshOCPDjv7CjFvOlpQV6dNYXZnLAT4INBrwLtYRAZpuAZn10NCb9SaRmeXpHjHze6GLHkGSb0JVcUsSNQ33nZHRmobrDA7WFgtrsBH3j9Kc6gwgPzslBdb0Gb1Y2vjpQiN2co3th2giuNkz8+2FNa3WALqv/68ubjeGLpBFQ2mJEUo0NhXjpklATv7vwBeTlJgt8LPuCv/zmMwjwj4kOUtDOEKbBqwWjQHi8oiRhySoxV80ejodWOPYcqsf2rCqzIz8TeQ5W4d3YGLtS1g2GA4s/KMP8nwwEAWWnREIuBEcnhiNbLAa8cZqeHlysceE2GAdZuP4knl03E+k87w62/K2tEYrSW9HECgTDo6BdD9sMPP+z1sWy479atW69OY64GIsAHhhOFCFw0v7blOG6bNJQLMzJ3KZPx04IxuG3SUGzYXcb7XLvd3a33JFSh+UidvO9CU0mYK6ntOoAx2zuNWIAfAhihkyNCJ4dCIQ3qt0V5Rryy5RgXrsdGUazIz8Qn+yswMSMOf3rrEK+/QgTs/NrvdRkar0VVvRU2J+0XeAshxsR0KTHmX3hbcPvkFBw6VYc2iwvrPjrFXeeXi8chSq+AyeqGWkUhzqDiKSCHMiTIM0zoay45YicgIkCtpLD+U7+ib6RegbycZPwjIN80MVqDWIOKq/uqVPhrqT77zmGe/sTJs41YU5gNjZLyG5sC/Yzx+QT73umqNmz/soLXvwvzjPjmRC2XRsBea/HMdNS1WLnx4/G7xwWF8q/Iz0RdsxVv7yjF75bfhKJb03kbaKvmZ0GrlGHj52UYPyKWFyYMAFu/OIOCXCPPc9wZmSVFUqwmKAQ7UNSx9EIrJmXFo83i4vJ0e+zjAb+J2yeCTIwbco4nEAgDi34xZP/f//t/vL/b29shFosRHR0NiqJQV1cHhmGQnJzcZ3mr1xKznQZ8YpQcvICnlufgREUzT3V4w+4yrCnMhpyS4GKTjbegrGkM3jHe2JH78tf1h0N6T0jo77Vh0NZ27VjE1J9tgkouHZShps0hwv3ZEMBp4xJRXFKGkcl6/PreCXC6vbhQZ+EJqBR35NL6AKzfVSroXWU9qc0mJ7Z/5V8cyygxXG7Gv8CGcA1KoTIfbN3op1bk4KUA41OrplDTZMXfAhb8bM1MtqRXqP4/aJ9hQv8RELFjp71QUZJujdiuEQHL52TA5qQBH4JSZF764BieXDaB88jmT01F8Wf8Y9ZuP4l509Pw1iensGB6GoryjHDRTFA/E4uElc3h60zHYUWV2Gt9/N/Okj6JMVqu30fqFZgxPgkWhwdJcToU5hnhdHshFolAe7zY2jGPWwU20F7begK/ue8m5GTEwRCmDOqPU7ITOCOW/UygIZoYo4HHwwSVAWPDkwPrzcsoMWfghuzjJEqDQCAMUPrFkP3222+5f//nP//B559/jr/+9a+IiYkBALS2tuLJJ5/EqFGj+qN5V4zJ6obD7UVTuxNmuxuMD7wabi7ai/oWG1bNz8J7u0/zPhtqx7i22cr9+8VNR/HcIz8Cw/h4Xtpehf6S3LgrYlCKXt0gixilXMr77SL1CuROTIZIBCy7IwOb95YjUq9A/rThaLO4IaPEKC4p453D7zkFahot3XpX65ptQfUiZ09OwYr8DGz94myQ2MvimemgpGJePnugh+XE2Wbk5SRzi9UZ45OCFvyvbT2BZ1ZOgs1Jdxv6PyifYUL/0xGxk5oU4VeiDDF2CEUErPvoFBcZIVRGhpJKOzeMQvS5xBgN7rsjAy9uPIqkWA2K8kZgRX4G1m7vjGII18rw4NxMvPHhyaB+xp6HnatdtF9gid2QKswzcvoW35yoDcq/feiuMTBZHLA5/EZss8mJOIMKFCXhpQqxeflWhxuGMCUMYYqgaAqxWPg7Nltc0KkoeGkGL28+LpgHzHqS86emYkiUGk0m/3m76+MkSoNAIAxU+j1H9pVXXsF//vMfzogFgIiICPziF7/A4sWLsWbNmn5s3eWh18qh9Hoxd2oq/vn+EcF8vDiDBgq5JEiGP9SOsZvulDHUqimcq7NgY0kZpmQnQCwGRg6NQGKUqvvQ3xvEYLmaDEbP942yiAnTUnjingkor2qDXCaBWCTmheaxxuQ7O05hSnYChsYLl7FpbLNjVIqhW+/qqGEG/CYpHHYXjdk/SsGOr8+juKQcDy3IwrI7MlDfYsWTyybiTLUJbprBx/89BwBYU5iN6gZLSA8LV4IjxGLe5qSRFKn2vxDieRyMzzBh4BAqIoDx+TiDNnADSU5J4HDRQX0syKsKoLrBAhftxVhjDCf4FNinPth7BuFaOR4tHAuJRITztWZeebrAMjhySoLEGC2WzhqB9OQIuNwe/GzROLRbXZg7LQ3VDVbO6HbRXryy+RieuGcCnv3PYS6Pd9Gt6Whtd3JlswLLa1XVWzkl9IfvGg2rg0aYRg6X24vYSBW+/L4mKFXgbHU7XC4v1EopXLRf2C2wDFhyrBYffnkWk7Lig0qIJURpQvZxEqVBIBAGKv1uyIpEIjQ1NcFoNPJer6qqglwu76dWXRlikd8gfXcXv/wOG+pjCFNg25dnYLXTWL1gNK9kR5iawiMLx/DyZgO9OgA6SoSUBYnJPLJwDDKS9Ze0Ez4YDZaryiAUvbohFjFi4Mz5di5crygvHdv28T2aG3aXoTDPyPUroTI27GYUJRFj+ZwMbNsX7F1dNT8LlbXteHtHKffag3MzYba50WpxYcenp3H75BSUXmjjpREA/nDlrvl0gZ5ZtgRHqA2vXnlVB+EzTBg4hIoIYMN7h0R1iidxJaZ0nRoQocrXfPjlWdw1w8jLj3WZvHjrk1M8r6XFRsPt8WL3/vOYmBHHK93DzrVySoIH8jNhMjsxJEqL93b9gCljE1BVbxEcD1jlc6fbwzMqqxusgqlCjy0ah7UfnQDg35i2OWi43F6eavmDczOxee8ZLlVg+ZwMbPq8nFMhZu9Hs8nJlQGbNz0NY40xgiXEfrc8B2aHRzAKK9RvIhKJuLrYBAKBcD3S74bs/Pnz8cQTT+Dhhx/GqFGj4PP5cOzYMbz22mu49957+7t5l0Wr2QW3lxE0DlLidahvseG2m1PQ0GZHuFbGK7YeGaZE6hAtb5HZZHLyJtvEGI1gbt5LHxzr1ii9IQyWa8EgE726EUJNW8xuXs5ZqBD+MLUcm/eWd4YCioDCPCPC1HI0tNp53hubk8aU7ARIxMAfVt4Mt9sLh9sL+IBNe/h9840PT3bk2YlgsdHYeeA8Zk9OwfI5GTwBp9smDUWMQYnfLc/ByS659XJKgpFDI/DE0gkYEqlCYrTm8r2qg+wZJgwchCICWINQTkkQa1AFb7IA3GeaTU6UHKzEr5ZOgN1F42KjjYt0sjrcWJGfiZZ2J8/Q29lRjioxRoP6Fhu0KgqllSY0tTs5jy0l9e8SzZiQxOW5xkSo4fZ4cceUVEglYrz9yakgo5SNkpBTEsikEs77eu/skYjSB+e/umgvahot3DgyY3wS2m10kMH7xocnubZlDDPgPzs7y3m5aI9gVEVitBq1LXbBax4/24ztX1aE1NjouoFemGfEa1uPd1ZMIGlJBALhOqTfDdlf/OIXUCgUePnll9Hc3AwAiIqKwooVK7B8+fJ+bt3lodfKYXHQgsaBXCbhKSBGh2dCTonhor0Ynx7lr/XG8BeZOhXFm9ghEnEhVIH0ZJReFYOFTG4Dnhsh1LTF7AzqL0J9QaOigiIdCvOMsDpc/pDegGMdTi+2f1WBZbNH4mKDVTDvrnPh6UWMQQWz1cWpjb6zsxRxBhV+tXQCLtS1Y0iUFm1mB37/+kFo1RRmT07heX8eums0wjUyJEaquveqkj5JuB4JeC4TYzR49uHJuNhsR3WDlTNE1xRkw6CRcRstALhnN/B5VyspeBgfpBIgcngkAB8YBnj/M39I8p0/HsaLdrLYaMgoMd765BQoiRhrisZCTvlrulbWW7BpTzmvqZF6Be67YxSqG/ke2MUz0/Hxf8/x+jVEnd5cF+3Bw3eNxvuflUGtoNBkcgiOMx5vQIcUhd5YY9v2s8KxOFPdDgCIM6ggp6RQK314ZuUkuGgPNAqK6/+xEapuPd6CUVg+IFwj69zA83VuoJlsbuhUFElLIhAI1yX9bsiKxWL89Kc/xU9/+lO0trZCJBIhPDy8v5t1ReiUUri9TFBYYlGeEZV1Zt6u65sdnppNn5djZEo4KLsoeAHa1Xsi8ufEXqpR2ucGC8m5HRxciuLoAMXQpTzV3sNVQf1z8cx0aFSUoArxb+67ift8nEGFFflZMNvceLQwGy1mJ97uMGIDP8Pls8K/+FQrpBB1tOXpB3JgsbmhkFP46KuzOHy6Cb9dNhHtNhr501IBAAdO1GLe9DRE6ZVoMjmQEqsFw/hQ1Wjjxocgryrpk4TrkVDPZXIYhhhUyBwWDjklhc1JC4e/dhjBVgcNtcIfiqvXyBGjk6OqyYbiEr4h+tYnP+DxJePw+N3j4fYygM+HhjY7osIUmDExGeWVbVz/B4I3tXInJgvWnN2wuyyoX2ekRCAmXIV2mxPrd51GXk4yHl6YjT+u829IdQ2DXjkvCy63h7smq1YeyviUUxIo5FIU5BqhVkgRppHjt69/w7uP8REq7n7pVMLe1UBBK6ENb41KxnmTA9ugV8tIWhKBQLhu6XdDFgBqa2vx3nvv4fz583j66aexdetWpKamYsyYMf3dtMvDB5htbhw4UYs1hdlwur1QyCT48MuzGJsewzvURXsRF6nCyGQ9Glud+PP2wz0vQH1AYpQqaLLq0Sjt49w4MrkNInqpODpQMWhlWDU/iwsvtthoqBRS/PLu8ahttmJonA4WuxtehhFUTa2qN+OxRWMhEgFOt5cTksmdmIyEaI2gNyXWoEJBrhEnzjQiL2cong8QfivKM0Iuk+Dj/T/gzinDMDY9Gs4OQbe9h6u4OpY7D5zHjAlJ2LSnHIkxGl4OndD4QPok4Xqk2+dSReFisx0vbjok/Gx3GMHrPy0NipZYU5CNxBiNcHSFwu+1rbpoBuMD9h+pwQNzs/DmhyewZNZI1DXb8GhhNtptrqAQ/5gIFepabIL9ms1TjzOosPAWI/78dme7l8/JgJdh0Nhq53J0dx44j4Lc4YjQKWAIU4D2MAjTavDzxeNgtdMwhMlhdbgFN9Y+/eYCVs3Pwjs7TqGuxY6ivHRs2H08dP8WAaWV7diw+zTyp6Yi1qBCY5sjSNCKt+HNesptbjy5bCJe23o8qIRXVaPwvbistCQSMUIgEPqQfjdkjx07hmXLlmHcuHE4ePAgXC4XTp48iaeeegovvfQSpk+f3t9NvCz0GhkmZ8XzFp5FeUaIxcG1IhtaHZg5KQUbS8p6vwBlgIxk/aUbpX2YG0dybgkDBgYYkxqBZ1ZOQovFCY1Shpc/OIohUWpMGj2EtxhlBV8CF35R4Sr8Y8P3yJ+aiu1fVfDKXuRPSxVcSNe32LH9qwqekinQKb4yb3oabs1Jhsvt5S1g2ZqaLjeDO388DDaH33tT3WDtcXwgfZJw3RBgsFCURHCDyGRzA0C3my+sEZw/NTUoWoI97uGFY/BywKbuvbNHorndGRTu39RmQ15OMm9eZo3PRwvHwu3x15Uur24LKaiWmRqJn0WoIaMkeGHjEV571n10Cr9aMh4NbTbeZ6USMbeJxo4xETo53B4PmkwMPB4GYrEIawqz4XJ7YdAr0NRqx9JZo/Durh849eJQIcjNZhdMVn/I9fpPS1HXYsemz/3lxGZPTuFpbPA2vAU85Y8sHINogxJysZg7rs/SkkjECIFA6GPE/d2Av/71r1i9ejXWrVsHivIvtJ566imsWrUK//znP/u3cZeLCLA5PUF1HotLyhEfqeGV7Vg+JwN7DlXi1S3HkXtTEu80gRO9IB1GaVKk2r9IvcYTATu5BTLYRIIIgwjG75k1aBV4+YOjyMtJxowJyXhj24mgfpo7MRlAZx/lRF461FBnjE/iFtWsimrXfq1USJA/LRXVDWbBxSfj8yE6QhU0Tqz76BQcTi+27TsLrUqGE2cbsXrBaOw5VBl0DquThtlBo6rJBrPTg4iOEOpASJ8kXHM6DJYnXjmAp9cdxP+tO4jZk1MQqVdwh7DPZXebL0DA5kyIklMmmxuZqXr8bnkO1hRk49HCbADgjFj2uI0l5Yg1aIKM4XUfnUKb2Y0XNh4BANS32hAdrkRYh2p5YL9evWA0KmpMeHXrcVyoF+7XZ2pMcLoZPJCfCTklwYzxSZwuBntMcUk56locCFMr0NLuwts7SvHWJz/gufXf4cVNR/Hntw6hsc2JC/VmXgketh1d/3bTDH6obMN3ZU24c8ow7j43m5zYceA8frc8B0+vyMGzD03mGY1CnvKXPjiGMJWCt6Zg05IC7wVnEF8CoTzzZjvdwycJBAJBmH73yP7www/4y1/+EvR6fn4+3nzzzX5o0ZVjttMoPd8aQrzBzBNUsDlpzvMTrlXwjr/eF6A3gkgQYRAhBk5dMOFikxV1LX4F4ntvHyXYT4fG6fD4kvGQSsSob7Fyi0mlXIKivHRE6ZXIn5aKvYerOFXU/KmpSI7TQiIWc6GArFEbZ1AF1YQUi0RwuryC12cX7a9vO+EvtSELrjkdZ1ChzeLGH//ND8n85eJx+NuG70mfJPQbQgYLG4XA1k7lnsseSkkFbpgKHSeVinGqwsRLs1k1P0vQA9wqIPoW2N9e3XIc86anQU6JIRaLkBCtwf93zwQ43V6oFFJYHTRsTg+0agrJsVoU5RnB+MCNA3LKX/M5XKvAzgPnkD81FTERqpAbWQ63J6SXNSZCBaVC0mNu/wP5mZzXlvX2zp6cgnd2lgIALDYaGrkEOnYTIWAcCLWJUNdshajj3rOhv32RlkQiRggEQl/T74ZseHg4qqqqkJTE90aeOHECBoOhn1p1ZZisbsgocYi6bOCEIuSUxG/Udvw7PCB8Z0AsQEk9SsJAQQRUN9nx0gfHuFDgZpMTEonwIlqjouBjGLyy5TiWzhoJeUdopFgk4gRguqoTb/+qAk8um8iFKQP8cMO/rv+O+9yK/AzQHgZmuyukyAv7eZuThkErC9o0WjV/dNC12FBL0icJ/UkogyUtIQxPr8jhPZc9bYiy76//tFSwfmx5lSnIy/ra1hOc0czCpgj01N/8BqYXm/b4Q3MDa9AW5aVDrZBi9uQUXnhyYZ4RJQcrkZeTzP3/THU7zlS3oyDXKHhNsUgEhUwSMoS5yeTAnkOVPMPVYqMRG9lZnkhGSfGvTUe4TTJ2w4D1Sve0jggVMlxWZeJtOLBe3CtNS7oRSr0RCIRrS78bsnfffTeeeuop/OIXvwAAlJaW4osvvsDLL788oMvvSBrEgqrFbI5sYC4e++/aZivnrRWLREiMVl//C1BSj5IwADDbaZReaOWFAm8sKce2fWfx4LwsLrzYb2Rm4r1dP+CmjDjcNikF7+4qxeKZ6XC4vEEhgqw68favKrAiPxMX6oTDDaubLLy+HRephotmUNNgweKZ6bySXIEKo9wiT2DTyGQL7d3g0g0A0icJ15xQBkukTh78XPa0Idrx/hNLxqPF4sKawmzUNdvgphlODE2oHwyJUvM2hlfNz8LHX50VNIYD+xubO8qGBQcayXsOVWLV3NF47r3vgsaBNYXZWL+rFLdNGgqFrNOTuv9IDR6cm8nL1y3KM0KlkMJsdSE+Uhm0Vlg6awRoD4MZE5Lgg8+vqK6UoaHVDpW8U638XIM1KPTYRXtBUZKgDQMhhDYR2HUJe66+FIsjUVwEAqGv6XdDdvny5VCr1fj73/8Oh8OBNWvWIDIyEqtXr8ayZcv6u3mXhU4phSFMibd3nOKFEe84cB4Pzs3CkttGQCQCxGIRFuWN8Neak0mwdd9ZLswYAEYk66GR9/tPRCAMeExWN5iOUhaBocBiMRAdrghSFz9T3Y7xI2Ox40AFbp+cgsQYLWgPI7hgTorVIn9qKj47eAHzpqUJLuCdLgabPi/n1Ej/WXwEuROTsOdQFWZPTsGawmzQNAOlQoq3PznFhSnyFnlBZbi6D8kkEPqLSzZYerkh6vMB1Q1W7DlUyc2V3Xk0f33vRFRcNMHlZmCyunDwh0ZU1PrTe2SUGAnRWryzo7O/rcjPgNVB48DxWhTmGeGm+aH/zSZnyNxYl9uLKdkJ+Pi/5wAAhXlGxEaooJBL0Wp24J7bRyBSr4JcJkFtkxVexod3dpRCq6Zw54+H4dfLJsLjYaBWSnG+1swzbAvzjDDbXdj+VQUmZ07mrhvZpawY+92jhDYMBG8ofxNBKpXgn8Xf89YhfRr6S6K4CARCH9PvVlJtbS0KCgpQVFQEu90Or9cLrVYLr9eLkydPIjMzs7+beOn4gOgIJSw2mgsjBvwTjF9V8DTn+QnXyZEUq8E/NvAnD7IgJRD6Dr1Wjv1HajhvDBsKvPqu0fD5RHhx41Fo1RRmjE/C2PQYjB8Ri+RYLZpNTvxnZylWz8/0L0IFFo3hOjn+1bFg//cnp4I8PotnpoNhfCjKM2LYkDB88Hk5ZoxPQkKUBoW56Vi7vdNTs2z2SPx88Th/nczL8KYQ7wbhuqAvDRYBpVvWa2ix0UiN1wX1A9bLarHRXN1XNsS32eTk1YFddkcGPF4GDa12WO00XLQXC2YY8cWhSsz+cbAiucfrExwHdCoZXg+I7NAoKTS02nkK6EV5RqQlhEGvUXCKxy6TF2998gPklATPPjQZtNdv4Hb1+D5aOJYnsMTW1b3kMnwCvxW7iWB2eoJy8ft8LUKiuAgEQh/S74bsLbfcgq+//hoRERFQqVTc67W1tbj77rtx7Nixfmzd5SOViPDA3Ey8GRBO9MDcTIjgQ0GuEfABG/eUIXdiEm4eFYMlt4288gUpqc9GIAiiU0qx5LaRWP9pKYryjIiLVMMHoL7FBoeTxr2zRwaVwXlgbiYi9QpYbDRa2t3Yc6g6qN7k4pkjIKPEWDxzBDbsPo1mkxMlByvxq6UTcL62HW6awcf/PcctZB+Yk4FJWfG8kOTABevbO0rxp1WTOsIbRaG/EEC8G4Trmz4yWEIJR/1ueY5fxEjlr5/62/tvwomKFsAHXt1Utu7r3sNVQf03LycZNY0W7PlfFfJyknn9f/Vdo/HF4UqsyM/kbTaFqSksmTUC63ed5hnWLWYHfrf8JljtNFQKCq9uORYk8MYwwMY95ZgzJTVkWgD7767vyWVipMRoAPAN+ziDCk8umwifz3fFY0CfbI6RdQiBQLiG9Ishu3nzZhQXFwMAfD4fli9fDomELynf3NyMIUOG9Efz+gSrw4Mte8/wQou37D2DRwqyoZRL4HB5QUnEoKRimGzuK1+QkvpsBIIwHQsrtVKKny8ehyaTA8+/f4TrJ8vnZAA+H97pIhjz5ocnMW96GmSUmFsYt1n8BmhcpAp1zXZ8/N8KaFUj8PF/K7i+7vfk2uHx+gARMGNCEvYergIlESNliB5nqluxpjAbbtrLUz5mr1vTaMP63aWw2Oie+zDxbhAGOaGEozweL6fEW1rZjupGK7Z/6d8YitQrUHCLEWIxkJkaibjva1DXYofD5cG86WlgfD7AB3xzohazJqVgSnYCNpaUQ6umkD/e34/rm+24ZWISXDTD9W05JYbT7RetCjwP6x1eU5iNtz45hfkdNaKLu0RmsGHHaiUl6NX1AdCEeM+glQM+wOryoLrRivxpfqHIvYer8Oe3D3XmsV7JGNCxOfbCz6ej2WSDnJLC5qRhdnh6Z5CSdQiBQLjG9Ishe/vtt6O+vh4AcPLkSdx8881Qq9W8Y9RqNWbOnNkfzesTnC4PV5Q8kNMXWiESibD/SA0W/GQ4vAwDtZK64gVpqPpsfSXSQCAMSEKEJbKlOVhV4Z8tGiu4WB42RIe3Pj7FGZpsSPKawmwu51Uuk4CSdJbkbjM7odfI8O+Pf+CFDMtkEvxr0xHk5SQHKZ6yhrKckqC+1Y4Z45Ow6fNy0ocJNzw9Kd2yc59WTfHUg7nw/n0VWD4nAzYnDYbxQSmXYsPu09CqKcyenILGNgfEYkCrpngKxXJKgujwLCTGaHiREwCwdNYIniIyS32LDc0mJ7buO4vZk1Pw+N3jQMkkcLm98PmA2T9KAcP48OaHJ4K8w4V5Rryx7QRumzQUq+Zn4bWtJ4K9oiLgXJ1FUDm9L/NY4yLVqKgx4cVNhy7JICXrEAKBcK3pF0NWpVLhkUceAQAMGTIEt99+O+RyeX805aqhU8sEJ99YgxovbjyKxxaPA+P1QSIBPIyP89peLqQ+G4EQTKiwRDZvjn1NQUkE+6tGSeHOKcNgttFgfD6IRSJEhSsgkfhVyYfGh+HU2UYU5Kbjta3HQxrL7TYa23aUIn9qalCpkMAwY3ZROmNCEvc+6cOEG5mewl3Zuc9l8mLngfO4744MbqMI6CyBxfb5SL1f3A0Alxu/Ij8LuROTg/rmB5+X45GCbKwpzOZEpiw2GsPiwwTHC2NiOJeH+9nBSiyYMRxvvtcZlrwiPxN6jQy0l4FOI8eDc7OgVEjQ0NKZS2tzevDpNxfwzMpJsDkDcuXhLyH26pbjQePHvOlpUCsucYzoJgS4rtl2WQYpWYcQCIRrTb/nyM6bNw+1tbV47733cP78eTz99NP473//i9TUVIwZM6a/m3fZOFweQZl/U0dBdofTw1v4Xmn4DanPRiAEE2phhYD0UzklwYU6c1AJjJXzs6DTUKA9Ps4DEmdQYcGM4Xh+w/eduXQLRmNjSVm3xjLj83HX7U75mBWoYceBoD5M8s8INxqhcsEBmB00PIwPRXnpnJJxZb2l2z5vsdGorLNArZRwIcNtZgcSYzS8z0XqFcjLScb/rT3I6+sJ0RrUNJixcl4WT9zpgfxMeL0M/rx6MhpNDug1cjz95re8cWHt9pN44p4JeGjBGLz54QnUtdi5tQHQWf6nrsUOm5NGUqSauwdmR2cJsa7fLSZCBRftAdDL+b6HEOBWs+OyDFKyDiEQCNeafjdkjx07hmXLlmHcuHE4ePAgXC4XTp48iaeeegovvfQSpk+f3t9NvCzkMglKDlbycmRLDlZi1fzRiDOo0NBq79PwG6JgSiAEE2phJRZ11nMuDKibOG96GmIjVKAoMZpNdphtHmzYfZr7/JTsBE7ADfD33Ve3HEdB7nC8u+s0dw0X7YWM6gw3ZkuEsNcUag8bqswqssYZVFg1f7RfAEYkgk4lRen/396dhzdRLWwAf5M2TZN0g7bslNpCCspSKFABkUWKigiCyA6CIAIXUPB+IirIoiziggiCcBGXylJkU0GQHa4oFxVFsFBoactOWyht0yVpM98fIUNDkq5pJwnv73l8pJPJzJnJnG3OlsLxZ3QfunfoDWwPGTj69xWE1vHD4BgtjALE8edKhQeahtTAayPaIq/AgL3HUtCzwwNYt/uk+IJqXL8WFnHz3jVkzXG9X9fGMBoFHPnzkuUcGAfOoUubhgCADXvOYnCM1mZlMCH1FgAZYqIbiUMKzK2qKqUHvv9vkmXl787Lq2u38hBSxxd1A9VWk0jdys7HA3V8ynw7S+sCXNNPVaEKKcshRFTdJK/Ivvfee5gwYQLGjRuH1q1bAwBmzZqFmjVrYsmSJS5bkc0vKLIcp3OnwJx89TYGPKbFrl8uWOxf6e43nMGUyIqfytNqeYoX73Tvmz6iLS5cybKY4XTv8RQM7dlU7JpoVRi106Ia6KdCUIC3eBylwgP1gnyK/VuFiQNaYcNPZ6x6aozv3wINa2swe2w0AjRekMtlaNLQH7ey9Zj/xd0xam+MasfxZ0SwXRH76VgKBveMEJe1Mee5e46loGd0I3y65S9k6wx4qV8LDHgsAu99/ZvFC6pVW/+2iJtyue24bhRMQ4FszYFhFIRi/7b90spoBCATxCEFcftM5wup7QNDkRFPdXoADYJ8xFbneyvs4/u3RJYuH7r8Ihw5cQn9uzUpd35fWhfgukEaqwrphGdbQu4hL3kYFMshRFTNJK/I/vPPP1iwYIHV9r59+2L16tUShMgxVErbLbKdIxtg3e6/0a9rY5y7eFvc3yHdbziDKZElAXgoNABvjGqH85cyUT/YF1/uOI2rGbkYHBNhNYlLj3aNxO6CAOClkNssjN7797WbuejRrhE27DkrzoRsNBrFpba++vEMXhkUiWlD2iAn34DZLz6M2zkF8NN4wVejgEbhAU3Q3QnvjEYB8z4/blFQt9etkOPP6H5jqyLWObIBPv3Wevzoy4Na4/MfTokvmT7b+jdmPN8OfbuE48TZ62itrY3aNU2tnDuPXhDz7JDavjbjumlpLPs9K4xGAUEB3lB5mSqdxYcQmSvWnSMbWHR3Vio8kHo9R0w/pgyMBGC7wr5yy0lxTP2EZ1uicUM/qD09ypXfl9YFWC6XiRXSyxm5uHg9B7G7OJM6ETkfeem7VK0aNWogNTXVavvff/+NwMBACULkGAqFB557TIvthxMRtzcB2w8nIia6Efb/nooCQxHqB2ssuhoWX+iciBzICDQMUqNleBA+Wv+H2C1v7/EUDI7RWsRD01izu4U7lZcnpg5pg8ExWgzsocXf525gfP8WFt8ZFKPF3uMpCA5QYXCMFlOHtMGB31KRej0HcXsTELcvAdk6A3y8FQj09UJuXiFmr/4VC7/6DXP+cwy//XMDiVeyLcbt2iqom1t4iuP4M7ofmStixdlrQU2+liVWYs3b/km+iSMnLqFndCi2H07E9Vu54iRNcfsSELc3AV//GI9Jz7WyiOsv9WsBbYg/avh6YfiTTS0+Gxyjhb9GgRMJ19Gr4wPYsCcBO48mYfrIthgco0XfR8PFGZX3/54KpcIDjer4YnCMFtOGtsHvZ66J4Vsa96c4Ft7eeF9zV+dCvbHclUVzF+ASyyB3jrl045/YsOcs0jPzLcJGROQMJG+RHTZsGGbNmoVXX30VABAfH48DBw5g+fLlGDNmjMShqziDoRBKLzleHtQaqdezYDTCYokNP42XuA6dXCaDl6fk7xSI3JcA6PIMFoXC9Mx87Dh6AdNHtsWtrAJoVJ64kp4jtlQEBZhmJ/5o/d2Jncb0eQgyCBZrSJonaNKoPHH9JvDljtMYFBOBjXeW5xALiRoFMrL0NmdR7te1MYIDvMVWDFstJkdOXLLqJs3xZ3Q/sjUWs1lozRLHwxffBsHUgvuf7abx7vt/S7Xq8j/8iWZo1siyVXLdT2eQrTOYKq0+Xpg5Jhr5BYXwVnrCT+WJ6zfzENW0jniccxdvIzfPAIWnHDX9VOjSpqGYXozv3wKxP8ZbTPh0K7tArDCmZxcgyM/bfqswKtEjo4xdgDkLMRE5O8krsmPGjIFGo8EHH3yAvLw8TJkyBUFBQZgwYQKef/55qYNXCXIs3fiXzbXpxvZtjpVbTlpN2MCxbkRVx1blMFtngNrbEwmpt3D9lqmyaC7Qdo8KEdd5BO4u4zH08QgEBXiLkz4pFR4Y/mRTXE3XATKgS5uGCKvri+nDo+4WEjUKxKfcxsUbtmdUNQqCReHQVkG9eMGa48/ovmarIqZR2JxoCDJBjPfF113t3jZEjIvpmflit+Kw+n6oU0NliltG0+mKL+cDQHz5VKumBkF+SmTm6GH09kR4fV/I5DKLfW9k5iJu7zn4ahToHhWC7m1DIJfJkKXTi2UAczdo85hZpcID5y/ehlBPsLomc/gBU7lB461Aapqu/LOYl6ELMGchJiJnJ3lFFgAGDx6MwYMHIzc3F0VFRfD19ZU6SJV2O6cABYa7a9uZx900C60Bg6HIohIL8C0nUVWzVTkcHKOFYDQiIqQGVm37GzHRjcSx7XUC1TYrnX4aJXYeTcLMMdHIydUj6XIWth9OtOi+2LRRAEKCNGJ8ztKZxrr17RJut9XIonBor8XEyPFnRACsK2JGO3FGBrzzUgfczC6wmtyteFxMz8zH9sOJFi+Us/JMswXbe/mUfisP8+5ZRs88bMj8nZ1HkzH08aZYt/uMWEmd8GxLxO6KtzqmeeytubK6VWfA4kmdxGuSyWRYueWk2LNrfP8W+PDOcImqmMWcsxATkbOTpCL7zTfflHnfYcOGVWFIqk6A3903meZxN0qFB1prH0YNH77lJKp2AtCwlsaiW/COoxdQu2ZzfH/kPPp1bYytB8+jc2QDyOVA7Zpqm/FUpfRAVNPaUHjIUC9Ig4/Wn7Dax9PTA1n5hWILibmL3v7fUjH08Qis233WojLdINjHunDISVOIysdWnBGAQB8vBPp6obDQaFqnGabeF+P7t8DKLXfXgv330DYAgNR0nVhp7Ny6gd2XT9dsLKM3c0x7izWps3UGeHnKMLBHExgKjWgWWhM1fJXI1hkQFOCN7lEhgMy0RFfj+n6YMigSa384LVa2b2YX3H0pJoPY00PjrRArscXP79CeXZyFmIicnCQV2TVr1pRpP5lM5rIVWU8PmdWC6S/1awGFl4xvOYkkcjOrABv2nBULkN3bhsBb6YG026aXTeZCpdEIyD2AF/s2x+rtd7sQj+3bHF/u+AdXM3Kx9WAiJg5oiWlDWuPD9ScsKqZLNvxhMcOnuYteemY+vv9vEgb2aIIavt4IrqGCv1oBH+9ydAkkovKz0x3Z/HdNXyUu3tBh+qdHLbrx/vL3FZsvn2rVVGPbofMWpygwFOFUYgb2Hk9F30fDUbumGmmZedh80LRf96gQxCffRLtmtfHKkEhcS88VK7xKhQdefKY5DIVFFi3G9/bUMFfUU9N01dOziy/UiMiJSVKR3b9/vxSnrVYGg4A9x5IxZVAk8guKTAudH0nEyKceArz5lpNICgG+StQNVFut8Tw4RosdRy9g/++p6B4VArkcMBYB+46buhl7KeRo0jDAYmx7gaEIn357EoPuzEgqlwOhdf2x+UCCWBAVW0jUd8fvpWfmI27vOVM3xJoqsdWIiKqYje7I5r+z8qyXutlzLAXDn2yGq+k6TB3SGgpPOQr0Rbh+MxexP8ajZ3QjcYIm4O46seZeWAN7aBG3NwFBAd4Wc2VsPZiIN0e3Eyux5vOt3nYKr41oi6AAb/FFmL2yAcevEhE5yRjZrKws7Ny5E+fOnYNcLkezZs3wxBNPQK1WV/rYN27cwOzZs3Hs2DF4e3tj4MCBePnll6HX6/Huu+9i165dAIBnnnkGr732Gjw8PEo5Ytno8gxo91BdcZII89tdXZ4B8FPyLSeRBPzUnpj0XCTmrjlmNXPw0McjUGQULAqb5rFq6Zn5GNhDa7MFJF9fhLh9CQBMBcm+j4aLa0QXbyEp/vKqTqAPvOQC4z2Rk7h3ht6gAG/ERDeyyMPH9m2OjXvPihVX86RP5vVfJz3XCut2n7E4rlLhge5RIWK6AtxZAuiC7XWhz128hVcGt4GP0qPEF9x+Kk/8e2gbJF7JElc/CK/nx5fiRHRfkXzNl1OnTiEmJgaffPIJkpOTce7cOSxevBhPPvkkLly4UOnjT5w4EbVq1cIvv/yCDRs2YOvWrfjhhx/wySef4Pz589i9eze2b9+OY8eOlbnLc1moVQqrjGvjngSo74xzIaJqJgPiU27j78R0mwXIsPr+NuNs96gQcT9b67hCMBV6Bz6mRd8u4Qit54ugAG/xc7GF5M7Lq5AgDerX8mFhk8iJ3Ls2ra3K53+2n7JIDwoMRXignh/eeqE9Fk/qhIa1NBj+ZDMMjjHNbG4eh2trjVt760IbjUBhYZHpJXcpaYS+0IitB88jbm8Cth48D32hsZJ3gYjItUhekZ03bx66d++OAwcOYM2aNfjiiy9w4MABtG3bFnPnzq3Usf/66y+kpKTgjTfegJeXFxo2bIivv/4a7du3x9atWzFu3DgEBASgTp06GD9+PDZv3uygqwJy8w02C8u5+QYkXslmZZaommXlmroO2itAFuiLbMZZ+Z1U8siJS3ipfwvxu+YuyScSrqNXxwew/XAi4vYm4OMNf6JXxwdQN1CNwTFapGXmm+K7zDQLamqaDpdv5DANIHIGd+JlTq4ek55rJcZvW5VP88zCZkqFBxIv3caa7aeQeCUL05cfxeLY37H14HkMf6IZZoxsi1bhNREVUcsqzTly4hL+Vex85l5bR/68VKbuweb07N7JprJyDZW5G0RELkXyrsVnzpzBggUL4OV1N+H29vbGxIkTMWDAgEod+9SpU9BqtVi6dCm2bdsGpVKJYcOGYcCAAUhLS0N4eLi4b1hYGFJSUqDX6y3CUlE+KoXN8SveXp44l3oLtWuq4KOU/PYT3TeKzxxsXiu2+GRrQf7eNuNsVEQtNG1UwzSW3VeBGc+3w5mUm1B4yuHt5YGopnVstuS+MaodYnfFI/VaDhZP6oSLN3RWE7w5cqkMIionGRCfeluMl3UD1XhjVDsIggCNtwJbDybanK3Y/G9xTdqoEHH2Y8CUBqzYfBKLJnZEls6AAn0hJj3XCss2/WW5LnSoP94Y1Q7xyTdhNMI0JveJZmXqHnxvV2jzebmMHxHdTySvSTVr1gz/+9//EBYWZrE9Pj7ealt53b59GydOnEB0dDT279+PpKQkjBkzBjVr1gQAqFQqcV+VSgVBEJCfn1+uimxgoI/N7Vdu5loVlgfFaKE3FMHfRwmdvggN6/jD01PyRnGXFRzs+usNOyNXua/24p49ekEmzhxsXttZLgfaPVgHjRsEAACmDmmDj9b/IcbZCc+2hK/GC9pGNSGXmwqwgf4+qFVTjQtXbiM9Mw+1a6psFijjk2+iQ4t6uJV9AboCU2uJr0aBvlGmNaUv3shB44YBqBOowdV0HW5m5aGmnwp1gzTiuVyFqzwzZeVu1+NIZYl3zn7/jEYBV9N1uJqWg4s3cuCrUcAXCnSObGCaVfjBOgir52+VHkweGInwBv4Iq++H8xdvi+PnvRRym2nA1Vt5WHJnRvO6gWq8Obo9PDxkCCwWzwMDfFC7pgY3s/PQvW3DMsd/c3p2b0W7TqAPgoPLlzba4ojf0HyfnTFtc/Zn1Jby5nlUPq74TLg6R9xzySuyTzzxBBYtWoTTp08jKioKHh4eOH36NDZu3IgBAwZYrDlb3qV4vLy8oFKpMHnyZMhkMjRt2hT9+/fH1q1bAQD5+fnivnl5eQBQ7gmmMjJyYDRavzpVeHlgzzHTjKeQARBMb1vH9mmOpXF/iouZtwqvCXBYS7kFB/siLS1b6mC4nbLcV2dJ7O3FPXu85LCYOXj74URMGRiJGmpPZGTkAAC0DXzx1uj2yLidj2s3cxG7K95iGR0IAGRA2q1ccRKYgT20NguURiOw8c5kMLo8A3w1CouZS5UKD9QNUiP1ahbeX/eHy7bUultcdNbrcZV456z3T3RPK6xS4YHnn2oGQ6ERu35JRufIBjj+zzXk5OqhDfG1aDH9Zlc8nn/qIdQLUuODb0xxNijAG00aBthMAwTj3e7JVzNy8e7a/2HRxI7wkglimgMAXjKgjp83AMvtJSmenhVPO7zkQqXvv0N+Qxv32VnStvJen6vEPao4p0+33JCjypuSV2S/+uor1KhRAz///DN+/vlncXuNGjWwb98+8e+KrCkbFhYGo9GIwsJCKBSmrjaFhYXw9/dHcHAwkpKSUL9+fQBAUlISQkND4enpmFuSm19otcTHoBitmH4XGIqwcsvfeOelDgj04XT5RFXO1jqS93Thy8krRHauAddu6mAuL5jHni2a2NG0TEeuAfHJd2ccTbp0C+P6tcCqYmtGm7scFhiK0LC2D4L8vdGjXSOrLsiffnsS/bo2thrnZj4XETmWrbGlWToDDv1xEU93DkOWzgCjICA++RY85DLM/+K4RQX1o/V/4J2XOuDfQ9vg8x9OIya6EZKv3rbZA+v6LZ3FuR3a9bcM6ZmU7I3hZdpGRI4keUW2KteU7dSpE/z8/PDRRx/hlVdeQVJSErZs2YK5c+eiQYMGWL58OR588EEUFhZi5cqVeOaZZxx2boWn7RbZiQNaifsUGIqQdjsfgb5eTpP5ELm1kpa9kgFJV7OxYvNJqwppema+WADNzNHDSyEXW2C6tQ1B7I/xmDIoEhevZ8NohPgdpcID9QPV8FN5omFtH5vdD42CYLWN49yIqoatsaVGQUDP6EYo0Bdh68HzYvwP9H8IvhoFCjLv7l9gKMLvZ2+gYS1fTBvaBm+t/AV9u4TjyIlLVvl9lzYNLc7j8HVenXgZP47hJaLqIHlFFgAyMzPFiZaKk8lkaNu2bYWPq1QqERsbi3nz5qFz587w8vLCuHHj8Pjjj6Nr165YtGgR+vTpg8LCQvTt2xfjxo2r7KWIFJ4y9IxuJC54bp7h1NPj7phYpcIDGm9PZOUamLATSSwr1yBWYoG7kzb1fTQc2w8nmgqgMkCjUsBDLsfgGC027ElAfkERrmbkYu0Pp626Dk8ZGCm2ktQP0tjsfmiePKb4NocWdolIZF5mp3g8lMtkqF1TjY83WrYg/mf7aXGdWDPzsIGlcX/i/4ZHiRPI3Rv3hz4eAS/Puy+87k0P3J2t+8y0jYgcTfKKbFxcHObNmweDwXrKeJlMhvj4+Eodv2HDhli1apXVdqVSiVmzZmHWrFmVOr49ObkG7LgzoYz5De2OoxdQ0//u+pIv9m2OK2k5EII0rMgSScxeC4L8zlg0P40C8Sm38cN/E/FcjwgkXb6NlwdFws/Xy+YkUm0iasFbIUfqDR0CfJXwU3vaHtN2Hxd2iaqbn+puPPTVKNCjXSM0quMLuVxmM/43rO1jET/H9HkIunwD+nYJh49aYTPuN6zti9gf4/FC74ectutvVSt+n5m2EVFVkbwiu3TpUowcORJjxoyBt7e31MFxmEB/byiKtb5CBig85AgOUGHywEiovDyRpzfguyNJmD48SrqAEhEA2y0IdQPViNQGI7+gEBlZevzw30S0e6guFn31291lNJ5sin8NaInl3568O4nUoFa4nV2AP65kwSgIkMtkCK/nh5A6Ppg5JhoGQxFq+Nwp2AL3bWGX3IjM1Kvh2vk0qJWe8FN5Os9zfCdsmTl6BPgq0ayRPxZP6mQxlGBwTITNFsT6QWq881IHnExMR/1gX3y54zSuZuRCqfBAg1o+GPVUM3yxI16M+2P7NoePyhPTh0eJcdneUIbiYXKq++UITj6Gl4jcg+QV2YKCAjz33HPikjjuQgDwbLcmWL39lFjgfbFvc3h5eSDtVi6MRuDIn5fKvGYcEVWte1sQ6gaqMbCHFm+v+tWiNcY8hg4wtdjE/ngGI3s1xawx0cjO1SPQzxtKLzl+P5NmMd5ucIwWVzJ0WPvDP3dbJ+7M4Oms49yIysSJZ6i1F7b6QWqLoQR7j6eIwwUsWhDvxMvGDQIsJn4qMBRh+aa/MLBHE4ueVxv3nsWkAa3gp1bYr6g68/1yJKZtRFTFJK/IDhgwAOvXr8frr78Omcw51hdzhGydQazEAqZMb/X2U3hzdDsYjYBcDozv3xINg9WlL7/j7m9uiZxEw1oazB73MAoLTZHync//ZxGH13x3Gn0fDUfcvgTxOwWGItSuqUHdGt6oG2DqVXIlM18sEJv32bAnAVMGRQIAfDUKXLyRA6WXB4L8vRmnyaU58wy19sJmHt9qlp6Zjx1HL2DmmGjkFxTCW+kp9piAAAiCYLPrsaHQaJEeKBUeqOmrtF1RbeSPLJ0BOXfWlS7xflVXvm/rPERELkLyFGvw4MEYOHAgvvvuO9StWxdyudzi82+//VaikFVOvr7QZqaXry8SMz2lwqP0jP5+eXNLJKU78Sx2V7y4bFbfLuF2x8wWp1R4wF9jOfN4foGd+F9gWnfS1qRQjNPkqpx5hlp7YVMpPa26EmfrDCgqMmJx7O9WcTPAx/bkRc1Ca1qNcTcaBauKauyueAx9vCmWbfrLbtoi3q/qyvftnCewpo8DT0JEVHXkpe9Stf7973+jRo0aePbZZ9G9e3d07drV4j9X5acxTQBTnFLhAV/13Rn7zBlXSey9Tc7KtZ4ci4gqxhzPOkc2sFjr1VYcDq3rL243L9FTYCi02C/I39vmdzNz8tE9KsRqPVnGaXJl5vHlxTnLDLX2wuZ7ZyhB8bg86blWWLnlpM246Wdj/ykDI9EwWI1FEzti9thoLJrYEc1C/G1WnjtHNsCyTX+VmLaY71d15fv2znM1XVfKN4mInIPkLbIJCQnYsmULwsPDpQ6KQ+Xk6m0ukJ6de7fiWpaM3pnfdBO5CzGeySDGt/2/pdqMw5sPmLoIp1zLFteLbNPEcsI2WzN2Tni2JTbuOYvOrRswTpNbceYZau2Fzcfb02oyopw8A65m5Fp8v3jcbBbij4+ndcW1jJy7kxcZrceB2lziR15y2lL8flVXvm/vPDez81DHz30m3yQi9yV5RbZ58+a4dOmS21VkfTVe2HMsxWqB9AnPtsLAx7SQy4FmoTXhp1GUOEaWa7ERVb3irTbm+GZeUqNf18YIDlDh+s1c7Dx6Adk6Ay5ez0Hc3gTrArsMyMkvRFZeIXzUnnjnpQ7Q5RtMhV6NAqHDo6ArKML2Q4mM0+Q+is1Qm2soglrh4RSVWAAlz54ru7sPZDL42ek+bBU37+xvj63Kc/EuyMXTlsYN/BHkp7S4X9WV79s7T01fFZzjxyMiKplMEARJU6tNmzbho48+Qu/evdGgQQN4eFh2txk2bJhEISubjIwcGI02bqEn8GfCTXy29W8xI3upXwsE+Hph0VfW42/s5hkcI2tTcLAv0tKypQ6G2ynLfQ0O9q2m0JTMbtyrCBtjZM3xbXz/FojbmyAuuTFlYCQa1tLgZnaBVaE48Uo2LqXlWM18ahFfZUDC5Wx8tP4Pt4jT7hYXnfV6XCXeOev9s2Inb/XylOP9dTbiJsqZF5snUTJXnu+sQ12m70s8RvaRyPrIyMhx4ImcS3mfUVeJe1RxLpNuuRFHlTclr8h2797d7mcymQz79u2rxtCUn72EJSvPgPV7zqJXpzBk5erhp/bCraw8rNhyyurtZ1kmfLLIEJ3lTbeEmOhUjfu2IguI8Swn3wClwvNuS6qPAhm39cjIykegnzcC/bxs9qLIyjPg139uWCzPA9iO44GBPrhw6ZZbxGl3i4vOej2uEu+c9f7dKyvPgOmfHrUZVwFYxc2S9i9zd9+S8vJ7Zw9WeyJLVw35vo0wBQe5xm9YUazI0r1cJd1yJ44qb0retXj//v1SB6FK5OQZEBEaKK47Z26RHdxTix0/X0B6Zj6AMo574VpsRFXvnngW6ONlarFILqVl5E5B8NqtPITU8YGvRoGCzLuFXVtxXC6XMU4TSaikcaghQRqruOmQcasCxCV9MnP0pu7Md5a7sdcCW+VpBMsXROTCJK/IAkBBQQG+++47nD9/HkVFRWjcuDF69eoFPz8/qYNWYUovT6uZST/b+jf6dW2MXh0fwM6jpsosx8YROa9S18e00TVvcIwWO47efVnFOE7kfMo7DtUh41btdOWtH6R22nV4iYicmeTL71y4cAFPPvkkPvjgA5w7dw7nz5/HkiVL0KtXL6SkpEgdvArT5Rtsvr01CgI27klA96gQy4liiMjplNQKA9iu6G7Yk4Ae7RoBAOM4kZOytZzOpOdamSZgLOP+5Y3b9l6MpWcVlJjOEBGRbZK3yL777rto1qwZ3n//fahUKgBAbm4upk+fjgULFmDlypUSh7Bi7C2eDsGUQYXV9zO9bXXhsXFE7q60Vhh7Fd3Qur6Y+UJ7BPoqGceJnJEANGvkjzdGtUN88k0YjcC63Wcw/IlmtidVujP7sdXyO+WI2/bSC5XSk6sTEBFVgOQtsr/99hteeeUVsRILAGq1GpMmTcL//vc/CUNWObbe3g59PAL7f0+FUuGBQD9vU5chFnCJqpfMNHFLapoOWfmFd5fgsKG0Vpjiy/aYKRUeSL6abarEMo4TOa0snQHzvziODXsSELfPNDP50rg/kZVrsP0FAahfy+fuGNpyxm176YWvA1p7qZzKkQ8QkfOSvEXW398f2dnWs1ZlZ2dDoXDtRNzLU45+XRvDKAiQy2RQeMqh8JBjUIwWBYZCAHzbSlStyrusxZ1Wm3de6mBz1mI/lScmPNsSKzafFI83KEaLnUcvoGmjAI5vI3JiDpnAqRxsrS87ZWAkfLw9Lda61XgrUKA3rUftp/LkyzAHMxoFLmtI5CYkr8jGxMRg9uzZWLhwIR588EEAwKlTpzB37lzExMRIHLqKy8o1iGvRmSkVHpgyKBKxP8ajTZMoCUNHdH8qdfKme8lQ8tqPAhBWz098YQUB2Hn0ArJ1BnYLJHJyDpnAqTzudE82V1jv7Z7sp1bgcnouFnz5GytYVehquo6TaxG5Ccm7Fk+dOhXBwcHo378/WrZsiZYtW2LAgAEIDQ3F66+/LnXwKsze5A0Xr2dj+BPN2GWISAKlTd50L3sV35z8QrFbGgA0rOWD7YcSEbcvAdk6A7sFErkAR0zgBKB83VTvLHdjq3uyvfTGbldnqpCbWXmcXIvITUjeIqvRaLBmzRpxxmKlUonw8HA0atRI6qBVitrbE3UD1egc2UDM1I6cuIRWTYJR21/Jt6tEEihzC0yxtWH7dgnH/t9SxeV0fDUKJF3NtuhO/O+hbey2shCRkyqlhbRMyjtcoQTV3dXZijndO58GtdLTbbs11/RTcXItIjcheUW2qKgIn376KWrVqoVBgwYBAAYOHIguXbpg4sSJkMlccwS+SumJoY9H4HJarjhGdujjEfD28nDLjIHIFdgbo2ZReLVRMB0Uo8Uvf19Ba21t1AlU41pGLnw1CvhCge5RIUi8chsBvkqEBGvELsdE5ALutJCKFcVyVmIzsvW4eCPb4oVXRbupFn/RFhTgje5RIZDLAY23ac3qKk1XHFghd3Z1gzSl5wNE5BIkr8i+9957+OmnnzB37lxx25AhQ7Bs2TLo9XpMnTpVwtBVnL6wCOmZ+dh68LyYUA6O0aJWTTWc4LYT3Z/K0AJjq3vfnmMp6Ne1MdZ8d1qMz0Mfj4DCU44vd8SjwFCErQcT3bbgR0T3sPPCa+fRC0jPzK9QK6r5RVvsrnjERDfCxj0J1Za2lHv+ABcml8sq3xJPRE5B8jGyO3bswAcffIDOnTuL2/r164eFCxdiy5YtEoascvQGIzbcyYQAU6awYU8C9AajxCEjus+VMEYNsN29r3NkA7ESC5ji87rdZ5GlM3A8G9F9yFbFb+OeBHSPCql4N9U7L9qmDWkjVmLNx67qtKW88we4vFLyASJyDZJXZPPy8qDRaKy2BwQEICcnR4IQOUZufqHNTCE3v1CiEBFRWdha61Euh834HFxDhaAAb4ttblvwIyKRvYqfXI6yTRhlb4IoAdDlGaq9UmlvjVuOGyUiZyZ5H9fo6GgsXrwY77//PgICAgAAt2/fxkcffYT27dtLG7hKCPRX2pzsKdBPKW3AiKhEtsbRNg8PxGBEmJbYAbD/t1Rk6wxIu5WHXh0fELsTsuBHdH+wN3FcVEQtBPp6ldzCV8p41Jr+3hgcY53eVGXaUqb5A4iInIzkFdmZM2di1KhRePTRR1G/fn0IgoArV66gUaNG+PTTT6UOXoUpFR4Y0L0JVm07JWYK455pDg9PedVP2kBEFXfPONqavkpcvKGzGu9e00+JH36+gNRrOej7aDi2H060LPjdmQE0M0ePAF+l284ASuTyKhBX/dSeeGNUO8Qn34RRML2oHhQTAaWXR8lfRCnjUdUKXLyeY5XeNAj2qdpKZbF0L9dQBLXCg5VYInJ6kldk69ati++//x5Hjx5FYmIiFAoFQkND8cgjj0Auv9vzOSUlBQ0aNICHR+mZhDPIyTOIlVjAlFGt2nYK/zc8Clf0RZwQhsiZ2CjImmcyzcqzLnRu2JOAQTFadGhRD7eyL6BOoBpvjGqHhsFqwIj7agZQIpdWkbgqA+JTLL8ztm9z7Pg5CanXckr9fmnjUW2lN4smdiz3jMrlfpF2Z9xoeEhNpKVlM60iIqcn+RhZAPDy8kLXrl0xZswYjBw5Eo8++qhFJRYwTQB15coViUJYfjl2xrgUGQVOCEPkTO4UZKd/ehSz1xzD9OU/Iz71tjgkwF6hM19vmtylR7tGuJaRi/lfHEeWzhSv7bW4MN4TOZeKxFVb3/nP9lNora1dpu+XNB7VIZMulZKmERG5C6eoyJaFILjWq0GNt8JmRqVRKTghDJETKa0ga6/QCcG0b+2aauz/PdUiXt93M4ASuaiKxFV73zFXFEv7vnk8qjldKT4e1RGTLvFFGhHdL1ymIutq9IVFGBSjtcioBsVokZdv4IQwRE6ktIKsrULnoBgt9v+eCqXCAzez8qwmeuIMoESuoSJxtaSXW2X5fvHxqLPHRmPRxI5iV+SSKrllxRdpRHS/kHyMrLsK0Cix51gK+j4aLk7utOdYCno/8gBnAiRyIvZmHxULosUKnZczcnHxeg52Hr2AbJ0Bg2O02HH0gtUMn5wBlMg1VCSu2vqOvbTArjvjUf1UCvFv8/+LTzYXoPEqd7pRappGROQmWJGtIn4qTwx/shmWbryb0U0Y0BINg31Qw0dhmhCGiCRnq1A66blW8NMUi6fmQmeIP2rVUOGBen5Qe3tC7e2JJg394eOtsCxsOqAwSkTVoCJx1cZ35HIZHqjnZ/q+RoGcvEJk5RUiv6AQQf7e5Zu13F4lt4z81J6Y9FwrLNv0F1+kEZFbu28qsrm5uejfvz+ee+45jBkzBtnZ2Xjrrbfw888/Q6lU4vnnn8e4ceMcd0IZAAgYFKNFDV9vXL+Zi9gf45GtM3D2UiJnIgDNGvnfXUrDCKzbfQbDn2hmGU9lQOLlbFxKy8GGPQkWBcR6NdXW8bmShVEiqiYViav3fgeAj9KzxHSiWvL9OzMqr9t9Bn0fDYdcDjQLrXl3RnUiIjfiMmNkZbLKTbf3zjvvICUlRfz77bffBgAcOXIEX331FdavX4+dO3dW6hzFZWTpsXTjX8gvKMLKLSexYc9ZpGfmc9IFIieUpTNg/hfHsWFPAuL2JeBqRq5VPM3KNSDxSpZYOAU4iQoRWZI6nTBP9HQ1Ixdx+xKwYU+CxYzqRETuxGUqspWZtfjHH39EcnIy2rRpA8DUOrt7925MnjwZKpUK4eHhGD58OL799ltHBRcZWfniLIacdIHIuZVlcpTMHD2MgsD4TER2SZ1OcKInIrqfSF6RHTlyJLKysqy237x5E/379xf//uqrr1CnTp1yH//KlStYvHgx3nvvPXFt2pSUFBiNRjzwwAPifmFhYTh37lwFrsC2QH9vi1kHi+OkC0TOpSwzlwb4KiGXyRificguqdMJzphORPcTScbIHjt2DOfPnwcAHD9+HBs3boRarbbYJykpCRcvXhT/btGiRbnPU1RUhP/7v//Dyy+/jAYNGojbdTodvLy84OFxN7H39vZGXl5euc8RGOhjc3uNGkaM798ScXvPYlCMFhuLjZWZOqQNHmhQA3I5VyevjOBgX6mD4JZc5b7ai3sVOpZRwNQhbfDR+j/sxtNAo4CMrAIMjtFajH2raHx2lftcFu50LYD7XY8jlSXeufv9K+n6HJ1OlFdZ0rKyuJ9/Q2flyDyPrLniM+HqHHHPJanIBgQE4PPPP4cgCBAEAd98843YWgqYxsOq1Wq89tprlTrPihUrULt2bfTt29diu1qthsFggNFoFM+bn59vVZkui4yMHBiNtrs9twqvgZA6bZGZnY854x5GfkGhOCNiRkZO+S+IRMHBvkhLy5Y6GG6nLPfVWRL7kuJeRWjr+1rNXHpvPH2gtgbB/ko0Calhmo3UT1mh+OxOz687XQvgvNfjKvHOWe+fo5Tl+hyVTlRUWdKykvA3tN7fGTg6z6O73P2Zd0aOKm9KUpGNiIjAvn37AAAjRozAsmXL4O/v7/Dz/PDDD7hx4wbatm0LwDQ29q+//sL58+chk8mQnJyMsLAwAKYW4MaNGzs2AEZAG1Lj7g/lqzT9n+kQkfMpy8ylgmlmUh+lp8U2IiKR1OkEZ0wnovuE5MvvfP311wCAwsJCFBYWWk3qpFKpKnzsXbt2Wfw9YsQIdO3aFWPGjEFubi4++OADLFq0CNevX0dsbCymTp1a4XMRERERERFR9ZC8IvvXX3/h7bffxtmzZy22C4IAmUyG+Pj4Kjnv3LlzMXfuXDz22GNQKBQYMWIE+vTpUyXnIiIiIiIiIseRvCI7a9Ys+Pj4YPny5fDxqdqB7ObWXwDw9/fHBx98UKXnIyIiIiIiIseTvCJ74cIFfPfddwgNDZU6KEREREREROQCJF9HtnHjxrh06ZLUwSAiIiIiIiIXIXmL7IgRIzBr1iwMGzYMjRo1gkKhsPi8S5cuEoWMiIiIiIiInJHkFdkZM2YAABYvXmz1WVVO9kRERERERESuSfKK7JkzZ6QOAhEREREREbkQycfImiUmJmLPnj3Izc3FxYsXrdaTdUky4PKNHKSm6ZCVXwjIpA4QEVUbGZCVZ2D8JyKmB0REVUDyFtmcnBxMnToVR44cgUwmw08//YR3330XV69exapVq1C7dm2pg1gxMiA+9TaWxv2JAkMRlAoPTBkYiWYh/oAb1NGJqASM/0RkxvSAiKhKSN4iu3DhQuj1ehw6dAje3t4AgJkzZ0KtVmP+/PkSh67isnINYqYFAAWGIiyN+xNZuQaJQ0ZEVY3xn4jMmB4QEVUNySuyBw8exGuvvWbR8lq/fn3MmjULv/zyi4Qhq5zMHL2YaZkVGIqQqdNLFCIiqi6M/0RkxvSAiKhqSF6Rzc3NFVtiizMajTAajRKEyDECfJVQKjwstikVHgjQeEkUIiKqLoz/RGTG9ICIqGpIXpHt3Lkzli9fjsLCQnHbzZs3sWjRInTs2FHCkFWOn8oTUwZGipmXeUyMn1pRyjeJyNUx/hORGdMDIqKqIflkTzNnzsSkSZPQvn175OfnY/To0bh+/TqaNGlic21ZlyEAzUL88fG0rriWkYMAjZcp0+LEDkTu7078XzSxIzJ1esZ/ovsZ0wMioioheUU2KCgIGzZswLFjx3D+/HkUFhYiPDwcnTp1gkzm4vPTC0D9Wj7wkgni30R0nxAAP5UCfiqF+DcR3aeYHhAROZzkFVkA2LJlC9RqNYYNGwYAmDp1KtLT0/HMM89IGzAiIiIiIiJyOpKPkV21ahXmz59vMUY2PDwc8+fPx5dffilhyBxABly+kcMF0IlcgQzIyjMwvhKRa2IaRkT3GclbZNevX4+PPvoInTt3FrdNmjQJLVq0wJw5c/D8889LGLpK4ALoRK6D8ZWIXBnTMCK6D0neIpuZmYn69etbbQ8JCUFGRoYEIXIMLoBO5DoYX4nIlTENI6L7keQV2cjISKxevdqia3FRURHWrl2LFi1aSBiyyim+AHpQgDcGPqZF3y7h0BUUsbsPkZMpHl/NCgxFyNTpTX+wyx4RVbVKpDOlpmHVHB4iouogedfi6dOnY9SoUejWrRsiIiIgCALOnTuHoqIirF69WurgVZh5AXRfjQK9Oj6AjXsSUGAowvZDiezuQ+RkzPG1eEFQqfAwzZwuB+JT2GWPiKpQJbsG20vDAjRekoSHiKg6SN4iGxERgR9//BHjx49HSEgIGjdujAkTJmD37t148MEHpQ5ehcllwOAYLXq0ayRWYgF29yFyRn4qT0x6rhWUCg8ApgLgoBgtVm45iYwsPbvsEVGVqmzXYD+VJ6YMjLRIw6YMjDStVytBeIiIqoPkLbL9+vXDwoULxaV33MXNrALsOHoBQ2Ka2u3uI64nR0TSEoAaPl7o+2i4qfucAOw8egHpmfnIyMpnHCaiKlVS1+AypTMC0CzEH4smdkSmTo8AjZepElvB1tNKh4eIqBpIXpFNS0uDl1cFu744sQBfJbJ1Bly/levY7j5EVCV81F7YfjjRKq4G+nkzDhNRlXJI12AB8FMp7lY0K9EF2OFdlYmIqoDkXYsHDhyICRMmYM2aNdi9ezcOHTpk8Z+rMnfzOXLiEgbFaB3W3YeIqoa9rnmBfl4O7bJHRHQvR3cNdrfwEFH1UKmVUGlK+U+tlDqYIpkgCJIO22/atKndz2QyGeLj46sxNOWXkZEDo9HOLZQBeqMM6Zk6KBWe0OUbKt3dh0yCg32RlpYtdTDcTlnua3CwbzWFpmQlxr2KkpnGhll1zbO3vYLc6fl1p2sBnPd6XCXeOev9c5QqvT4HpzMVJV6jk4TH0cr7G7pK3KOKc/d0qzxUGiXmrP6lxH3efrED8nQFlTqPo8qbknctPnPmjNRBqDoCUL+WD7xkpoQn0MdL3E5ETshe1zwHdtkjIrLJ2dIZZwsPEVWaSq0scSktmcy11tmSvCILAEajEUeOHMGFCxfQv39/JCcnIywsDD4+PlIHjYiIiIiIyPXJUGKL6+xxHUs/hEwGlaaU7sUCkJdbuVbbspC8Invjxg2MGTMGly9fRn5+Ph577DGsWLECp0+fxtq1axEeHi51EImIiIiIiAglV4YBU/fj6iD5ZE/vvvsuGjdujF9//RVKpal2/8EHH6B58+aYP3++xKEjIiIiIiIiZyN5RfbXX3/Fv/71L4sleNRqNV599VX8+eef0gWMiIiIiIiInJLkFVkA0Ov1Vttu3boFhYLTvBMREREREZElySuyPXv2xKJFi5CWlibOlHXmzBnMnTsXjz32WKWPf/LkSQwdOhRt27ZF165d8cknn0AQBOj1erz99tuIjo5GdHQ0FixYgKKiotIPSERERERERJKSvCL7+uuvIzAwEJ07d0Zubi6eeuop9OvXDw0aNMCMGTMqdWydToeXXnoJvXr1wrFjx/DFF19g27ZtWLduHT755BOcP38eu3fvxvbt23Hs2DGsWbPGQVdFREREREREVUXyWYs1Gg0+/PBDTJ06FYmJiSgsLER4eDgeeOCBSh/76tWraNOmDYYPHw4ACA0NRUxMDP744w8cO3YM7777LgICAgAA48ePx0cffYRx48ZV+rxERERERERUdSRvkQWAoqIiJCcnIykpCZcuXcKNGzcgCJVfebtx48ZYvny5+Lder8fhw4fRtGlTpKWlWSztExYWhpSUFJvjdYmIiIiIiMh5SN4ie/HiRYwdOxZXrlxBvXr1YDQacfXqVWi1WqxatQpBQUEOOY9er8e0adPg5eWFXr164f3334dKpRI/V6lUEAQB+fn5FjMoExERERERkXORvCL79ttvo2HDhli3bh0CAwMBADdu3MDrr7+OuXPnYunSpZU+R1paGiZPngwAWLt2LeRyU0N0fn6+uE9eXh4A09I/5REY6FPqPsHBvuU6JpUN72vVcJX7Wpa458xc5T6XhTtdC+B+1+NIzPPc//oA979GV7w+V8/znJ0rPhMVkZtvgEJRcvWvtM/Lso9cLiv1njrinktekT1x4gQ2bdokVmIBoFatWpg+fTqGDBlS6eMnJCRg7Nix6NixI+bOnSu2tgYHByMpKQn169cHACQlJSE0NBSenuW7JRkZOTAa7XSDlgF6owzX0nMQ4KuEn8oTqHyPaYLp4U9Ly5Y6GG6nLPfVWRL7EuOeM5ABWbkGZOboreK/Oz2/7nQtgPNej6vEO2e9f45SJddXQlohBf6G1vs7A6fP81yYuz/zxak0ShgMhSXuU9rnZdnHaBRKvKeOKm9KXpFt0KABzp8/j8aNG1tsv3btGmrVqlWpY9+6dQsvvPAC+vTpg9dee83isz59+mD58uV48MEHUVhYiJUrV+KZZ56p1PksyID41NtYGvcnCgxFUCo8MGVgJJqF+LMyS+TuGP+JqCyYVhARVZjkFdmRI0dizpw5SE5ORlRUFDw8PHD69GmsXLkSAwcOxKFDh8R9u3TpUq5jb9u2DWlpaVi3bh3Wr18vbu/cuTMWL16MRYsWoU+fPigsLETfvn0dOmNxVq5BzJgAoMBQhKVxf2LRxI7wUykcdh4icj6M/0RUFkwriIgqTvKK7MyZMwEAS5YssfpsxYoV4r9lMhni4+PLdezRo0dj9OjRdj+fNWsWZs2aVa5jllVmjl7MmMwKDEXI1OmZORG5OcZ/IioLphVE5CgqtRKQlbyPTFbKDi5G8orsmTNnpA5ClQjwVUKp8LDIoJQKDwRoOCMykbtj/CeismBaQUQOIwPmrP6lxF1mj+tYTYGpHk6xjqw78lN5YsrASCgVHgAgjnvxU/MNK5G7Y/wnorJgWkFEVHGSt8i6LQFoFuKPj6d1xbWMHARovEwZEydvIHJ/d+L/ookdkanTM/4TkW1MK4iIKowV2aokAPVr+cBLJoh/E9F9QgD8VIq749wY/4nIFqYVREQVwq7FRERERERE5FJYkSUiIiIiIiKXwoosERERERERuRRWZImIiIiIiMilsCJLRERERERELoUVWSIiIiIiInIprMgSERERERGRS+E6skRERERERE5MpVYCMvufy2QlfOimWJElIiIiIiJyZjJgzupf7H48e1zHagyMc2DXYiIiIiIiInIpbJElIiIiIiIih5DJZFBplHY/zy8odMh5WJElIiIiIiIihympG/SclxzTDZpdi6uDDMjKMyA1TYes/MISB2oTkZtgvCdyb4zjRESSYotsFTMaBcSn3sbSuD9RYCiCUuGBKQMj0SzEHxCkDh0RVQkZGO+J3BnjOBGR5NgiW8WupuvEjA4ACgxFWBr3J7JyDRKHjIiqSlaugfGeyI0xjhMRSY8V2Sp2MytPzOjMCgxFyNTpJQoREVW1zBw94z2RG2McJyKSHiuyVaymnwpKhYfFNqXCAwEaL4lCRERVLcBXyXhP5MYYx4mIpMeKbBWrG6TBlIGRYoZnHkfjp1ZIHDIiqip+Kk/GeyI3xjhORI6kUiuh0pT8n0zGGeXuxcmeqphcLkOzEH8smtgRmTo9AjRepoyOk0EQuS8BjPdE7oxxnIgcSVbycjUAMHucY5ascSesyFYHAfBTKeCnUoh/E5GbY7wncm+M40REkmJFloiIiIiIqAqo1MpS15lmt+GKYUWWiIiIiIioKrDbcJVhRZaIiIiIiKgCSmtxZWtr1WFFtpLk8tIfzrLsQ+XH+1o1XOW+uko47XH18BfnTtcCuN/1OBLzPPe/PsD9r9EVr88Vw1yVlKrSl7qSyWQQhJIHrxfkmdZ+tnd/y3qe2auO2v2cra22OeKZlgml/cJEREREREREToTryBIREREREZFLYUWWiIiIiIiIXAorskRERERERORSWJElIiIiIiIil8KKLBEREREREbkUVmSJiIiIiIjIpbAiS0RERERERC6FFVkiIiIiIiJyKazIEhERERERkUthRbYKnD17FoMHD0ZkZCSeeOIJHDp0SOoguay4uDg89NBDaN26tfjf1q1bodfr8fbbbyM6OhrR0dFYsGABioqKpA6u0zt58iTat28v/l3afdy1axd69uyJyMhIDB8+HMnJyRKE2rlU9Jks6V5evXoVY8aMQevWrdG9e3ds3rxZ/EwQBHz88cfo2LEjoqKiMH36dOTm5lb6Ohz5LFQm/MeOHUOfPn0QGRmJ/v374+TJk5W+lvz8fKvf6IUXXnCJa3FV7pjvnTx5EkOHDkXbtm3RtWtXfPLJJxAEodTny1W4e/763XffWVxb69at0axZM7zwwgtu8xtS+bj7M+9sqqXMKZBDFRQUCN26dRM+//xzQa/XC3v37hUiIyOFS5cuSR00lzRz5kzhww8/tNr+/vvvC0OHDhVu3bolXL16Vejbt6/w2WefSRBC17Fjxw4hKipKiIyMFLeVdB8TEhKEyMhI4fjx40JBQYHw4YcfCr169RKKioqkugSnUJFnsrR7OXDgQOHdd98VCgoKhN9//11o27atcOLECUEQBGH9+vXCE088IVy5ckXIzMwUXnjhBWHWrFmVugZHPwsVDX9GRobQpk0bYefOnYJerxfWr18vPPzww0J2dnalruXEiRNC586dbe7vzNfiqtwx38vJyREefvhh4euvvxYKCwuFCxcuCN27dxdiY2NLfL5cyf2Wv/7zzz9C+/bthfj4eLf5Dal87rdnXkrVVeZkRdbBDh8+LHTo0EEwGo3itnHjxgkrVqyQMFSuq3///sKPP/5otb1Tp07CwYMHxb9//PFHoWfPntUZNJfy4YcfCv369RPWrFljkaiUdB/ff/99YcqUKeJnhYWFQlRUlPD7779XX8CdUEWeyZLuZWJiotCsWTOLCs+cOXOEt956SxAEU8UqNjZW/OzkyZNCq1atBL1eX6HwO/pZqEz4169fLzz77LMW4XvqqaeE7777rlLXEhsbK4wbN87md5z1WlyZO+Z7586dEyZOnGixbcGCBcK0adNKfL5cyf2Uv+r1euGpp54SvvrqK0EQSk4jyH3dT8+8lKqzzMmuxQ6WmJiI8PBwyGQycVtYWBjOnTsnYahck8FgQEJCArZs2YJHHnkEMTExWLVqFW7fvo20tDSEh4eL+4aFhSElJQV6vV7CEDuvoUOHYsuWLXjooYfEbVlZWSXex8TERDRu3Fj8zMPDAyEhITh//ny1ht2ZVPSZLOleJiUloU6dOvDx8bH4rjnNuPe7YWFhyMvLw+XLlyt0DY5+FioT/ns/M39e1mfM1rUAwOnTp5GWloann34aHTt2xJQpU3D9+nWb4XGWa3Fl7pjvNW7cGMuXLxf/1uv1OHz4MJo2bVri8+Uq7rf8dd26dfDw8MCwYcMAlJxGkHu63555KVVnmZMVWQfLzc2Ft7e3xTZvb2/k5eVJFCLXdfPmTbRs2RL9+/fH/v378fHHH2PdunWIjY0FAKhUKnFflUoljl0ia7Vr17baZh7bZ+8+2nqWVSqVQ8ZnuqqKPpMl3UudTldimpGbm2t1XAAVTlMc/SxUJvz20suyPmO2rgUA1Go1oqKi8OWXX+LHH3+EUqnEhAkTxPA447W4MnfP9/R6PaZNmwYvLy8MGzasxOfLVdxP+ater8eaNWswadIkyOWmYq87/IZUPvfTMy+16ixzejogvFSMWq22evDz8/OhVqslCpHrql27Nr755hvx7wcffBAjRozA9u3bAcDiPpsLTLzPZWdOTOzdR5VKhYKCAovv5OXlQaPRVF8gnUxFn8mS7mVpaYZKparyZ70yz0Jlwq9SqaDT6ay+W7du3Updz1tvvWXx94wZM9ChQwdcunTJ5a7FFbhzvpeWlobJkycDANauXQu1Wl3i89WgQQMpgllu91P+euTIEQDAY489Jm5zh9+Qyud+euadUVWVOdki62Dh4eG4cOGCxbakpCSrLmdUurNnz2LZsmUW2woKChAcHIzg4GAkJSWJ25OSkhAaGgpPT76bKSt/f/8S72Pjxo0tPisqKkJqaqpFt5D7TUWfyZLuZXh4OK5fv25RCSqeZtz73aSkJKhUKtSvX99h11WZZ6Ey4b/3s3u/WxGCIOCjjz6yOK65e5hSqXSpa3EV7prvJSQk4Nlnn0VoaCi++uor1KhRo9Tny1XcT/nrvn378OSTT4qtse7yG1L53E/PvDOqqjInK7IOFh0dDQ8PD6xatQp6vR779+/HsWPH8NRTT0kdNJej0WiwatUqbN68GUajESdPnkRsbCwGDBiAPn36YPny5cjIyMD169excuVKPPPMM1IH2eWUdB979+6NAwcO4Oeff4Zer8fSpUsRFBSEVq1aSRtoCVX0mSzpXoaFhaFZs2Z4//33UVBQgBMnTuD7779H3759AZh+o7Vr1+LixYu4ffs2lixZgt69ezs8g5Ui/D169MC5c+ewfft2GAwGbNiwAWlpaejWrVuFr0Mmk+H06dN47733kJ2djdu3b+Odd95Bly5dEBwc7FLX4ircMd+7desWXnjhBfTu3RsLFy6El5cXgNKfL1dxP+Wvf/31FyIjI8W/3eU3pPK5n555Z1UlZU6HTE9FFs6ePSsMGTJEaN26tfDEE08I+/fvlzpILuvIkSNCv379hMjISKFbt27ijKH5+fnCnDlzhI4dOwrt27cX3n33XaGwsFDi0Dq/X3/91WIGudLu4+7du4UnnnhCiIyMFIYNGyYkJSVJEWynUtFnsqR7eeXKFeHFF18UoqKihG7dugmbNm0SPysqKhKWLl0qdO7cWWjbtq3w73//W9DpdJW+Dkc+C5UJ//Hjx4VnnnlGiIyMFPr16ycudVOZa0lPTxdeeeUVoX379kJUVJQwbdo0ITMz0yWuxVW5W773+eefC1qtVmjVqpUQGRkp/jd58uRSny9Xcb/kr61atRKOHz9usc1dfkMqn/vlmXcW1VHmlAmCIFR9HZyIiIiIiIjIMdi1mIiIiIiIiFwKK7JERERERETkUliRJSIiIiIiIpfCiiwRERERERG5FFZkiYiIiIiIyKWwIktEREREREQuhRVZchoRERE4cOCAzc9GjBiBRYsWAQBef/11TJkyBQDwySefoH///tUWRqLK6N69OyIiIrB3716rzzIzM/HQQw8hOjq6wsc/cOAAIiIixL9LilOVtWXLlkqFlYhKdunSJZtpxf1yfiJbzpw5g19//VXqYFRI9+7dERsbW6Z9dTodNm3aVKnzRUdHY8uWLWXat3jZ2pWwIksu4ZNPPsG//vUvqYNBVGkKhcJm4XD//v0oKipy6Ln++9//olOnTg49JhFVjxkzZuD333+/b89PZMvEiRNx/vx5qYNR5dauXYv169dLHQynx4osuYSAgAD4+PhIHQyiSmvfvj0OHDhgVWn96aefEBkZ6dBzBQcHw8vLy6HHJCIioqolCILUQXAJrMiSUzp58iRat26NL774AoBl12J7CgsLMW/ePHTq1AktW7bEkCFDcPLkyWoILVHZderUCXq9HsePHxe36XQ6HDt2DD169LDYNy0tDS+//DJat26NRx55BG+++Says7PFz1NSUjBq1Ci0atUKTz/9NM6dO2fx/eJdi9PT0/Hqq6/i4YcfRvPmzdGjRw98++234r4jRozA0qVLMWHCBLRs2RJdunQpV7em0r5fUFCA+fPno1OnTmjTpg0mTpyI69evAzBl2LGxsXj88cfRokUL9O3bF4cOHRK/+/rrr2PBggWYMWMGIiMj0b17dxw6dAjbtm1D165d0bZtW8ycOdMi41+zZg26deuG1q1bY8iQIfjzzz/LfC10f4qIiMCmTZvQu3dvREZGYvTo0UhNTRU/z8nJwTvvvINHH30UrVq1wpgxY5CUlAQAWLJkCfr162dxvN27d6Ndu3bQ6/UASn4mR4wYgdmzZ+PJJ59Ehw4d8Morr+B///sfPv/8c3Tv3h2rV69G165dLZ7xX3/9FZGRkdDpdKVe273HT0xMRHJyMsaPH4+2bduiefPm6N27t5hevP766xbnN1//zJkz0b59e0RHR2PKlCliHCbXVZbnvqTfPSIiAkuWLEHHjh3Rp08fFBUV4cyZMxg1ahRat26NLl264LPPPhP3Ly1fi4iIwJYtW9C/f3+0aNECffr0wYkTJwCYnuPLly9j3rx5GDFiRJmu78qVK5g4cSLatGmDjh07Yv78+SgsLBSvzV6cBkxdgTdt2oShQ4eiZcuWePbZZ5GcnIxFixahbdu2eOSRR7Bx40aL/deuXYtBgwahZcuWGDhwIP7++2+7YbOXJmzZsgXLli3D6dOnERERgUuXLpW4PwAUFRVh8eLFePjhhxEdHY0vv/yyTPenuLy8PLzxxhto06YNHn74YSxZskT87Pr16xg/fjyioqLQtm1bTJkyBRkZGeU+h6OxIktOJzExES+++CLGjRuHUaNGlfl7sbGx2LdvH5YvX44dO3YgNDQUU6ZM4VstcipKpRKdO3e26F586NAhNG/eHDVr1rTYd/LkyQCAjRs3YsWKFUhNTcXUqVMBAAaDAePGjYNarcbmzZsxefJk/Oc//7F73tdeew03b97EF198gR07dqB79+6YPXs20tPTxX1Wr16Nzp07Y8eOHYiJicGcOXMsPi9NSd+fNWsW9u3bh8WLF2PTpk3Izc3FtGnTAACrVq3Cxx9/jClTpuC7775Djx49MGHCBJw5c0Y89jfffIPw8HB89913aNGiBV599VVs2bIFn332GebMmYPNmzdj//79AIANGzYgNjYWs2fPxtatW9GlSxc8//zzYmGAyJ73338fEydORFxcHORyOV588UUYDAYAwMsvv4xjx47hww8/RFxcHJRKJcaMGYO8vDw8/fTT+Oeff5CSkiIea+fOnYiJiYGXl1eZnslvv/0Wb731Fj777DPMmzdPLKx+++23ePrpp3H9+nWxQA8AO3bswGOPPQaNRlOmayt+/LCwMIwfPx4ajQZxcXHYvn07tFotZsyYAb1ejzfffNPi/IApDicnJ2PNmjX4+uuvIZPJMHbsWLFSQK6rpOe+LL/7jh078NVXX2HRokW4ffs2nn/+edSqVQubNm3C3LlzsWrVKvE5KilfM1u6dClefvllbN++HT4+Pnj77bcBmIaZ1alTB9OmTcMnn3xS6nXp9XqMHj0aBQUF+Oabb7B06VL89NNPWL58OYCS47TZBx98gLFjx2Lz5s3IycnBwIEDUVhYiLi4OPTp0wfz5s3DzZs3xf0//vhj9OnTB1u3bkVYWBjGjBmDzMxMq7CVlCb06tULL7zwApo2bYr//ve/qFu3bqlpyKeffopt27bhvffew5dffol9+/bZPG9JDh8+jODgYGzfvh2vvvoqVqxYgZ9//hkAMGfOHBgMBsTFxSE2NhaXL1/GwoULy3X8KiEQOQmtVivExsYKjz76qPD+++9bfDZ8+HBh4cKFgiAIwvTp04XJkycLgiAIS5cuFfr16ycIgiDMmzdP6Nmzp3D9+nVBEATh9u3bwi+//CIUFhZW41UQ2detWzfh66+/Fr7//nuha9eu4vaXX35Z+Prrr4XNmzcL7du3FwRBEH755RchMjJSKCgoEPe7du2aoNVqhYSEBOHgwYNC8+bNhVu3bomff/bZZ4JWqxX/1mq1wv79+wVBEIQvv/xSSE1NFT+7efOmoNVqhePHjwuCYIpjY8aMET/Pzs4WtFqtcOTIEZvXUjyspX0/KytLePDBB4W9e/eKn6ekpAiLFy8WCgoKhOjoaOE///mPxfHHjBkjTJs2TRAEU5zv3bu3+NnBgwcFrVYr/PPPP+K2Xr16CStXrhQEQRC6du0qfPfddxbHGz16tJiGENmi1WqFZcuWiX+npaUJDz30kHDw4EHh7NmzglarFU6ePCl+rtPphPbt2wsbN24UBEEQnnnmGWHFihXiZ61atRKOHj0qCELpz+S98ce8rfgzO2LECGHevHmCIAiCXq8X2rdvLxw8eLBM13bv8XU6nbB69WqL9OPvv/8WtFqtcOXKFavzp6amClqtVrh27Zq4f0FBgRAZGSkcOHCgTGEg51TSc1+W312r1QqfffaZ+HlsbKzQqVMni7xr+/btwo4dO0rN12wdb+/evYJWqxW/Y85Hy+LAgQPCQw89JGRkZIjbDh48KKxbt65Mcbpbt25inBMEQXjvvfeE9u3bi+XKjIwMQavVCn/88Ye4/4wZMyzuVYcOHYRvvvnGKuylpQnFy7el7W80GoWOHTsKsbGx4mdXr14VmjVrJmzevLlM9+refFYQBKFHjx7CqlWrBEEQhKefflqYMmWKkJ+fLwiCICQnJwunT58u07GrkqfUFWmi4hYuXAiDwYB69eqV+7tDhgzBrl270LVrV7Rq1QrdunXDs88+Cw8PjyoIKVHFde3aFa+//jpOnTqFJk2a4PDhw5gxY4b45hMAzp8/j7y8PJszAyclJeHixYuoV68eAgICxO0tWrSwe86hQ4di165d+OKLL5CcnIx//vkHACzG6oaGhor/No9JL09ri73vX7hwAYWFhRbhCwkJwb///W9kZGTg1q1bVuODo6KisGvXLvHvhg0biv/29va22qZUKqHX66HT6XDlyhW89dZbmDVrlvi5Xq/neGEqVdu2bcV/BwUFoX79+jh37hx0Oh0UCgWaN28ufq5Wq/Hggw+KXfqffvppbN++HePHj8eBAwfg4+OD6OjoMj+TxZ9nW/r27YuPPvoIb7zxBo4cOQK5XF6uydyKH1+tVmPYsGH44Ycf8Pfff9tNE8zMk+s88cQTFtvz8vKQlJSErl27ljkc5HzsPfdGoxFA6b978Wfr/PnziIiIsHi2+/TpA8DUc66kfK1JkyYA7Ocl5U3Dz58/j/r161v0durSpQsAU4+J0uI0ADRo0ED8t7e3N+rVqyeWK5VKJQCIwwcAy3vp5eWFpk2bWg37KW8+Vdr+t27dQnp6Oh588EHxszp16qBWrVql3SILISEhFn/7+vqioKAAADB+/HhMnz4d0dHRePjhh9GjRw/xd5USK7LkVHr37o2wsDB8+OGH6NGjB4KDg8v83fDwcOzfvx9HjhzB4cOH8dVXXyE2NhabNm1C7dq1qzDUROXj4+ODDh06YO/evbhx4wa0Wq3VM1pYWIh69eph7dq1Vt8PDAy0GJdjplAobJ7PaDRi7NixuHbtGp566ikMGjQIjRs3xpNPPlnq94VydM23931zxmzrWOaCgK0wmwtRAODpaZ1dyWQyq23mQvjChQstMnXgbgWYyJ57X3wWFRXBw8OjTM/pU089hcWLF+PChQv48ccf0atXL8jl8jI/k6U9n48//jjmzp2L3377DTt27ECvXr1sxgt7ih9fp9Nh8ODB8PLyQkxMDLp16wa1Wo2RI0fa/G5RUREUCgW2bdtm9Zm/v3+Zw0DOyd5zX9bfvfizpVAo7OYbpeVrxY9xr/LkRSUdx6yieY+tfKc4e/fy3m1A2fOpsu5/7z0q6frLEvbix+zVqxcefvhhHDhwAEeOHMG7776L77//vkJjcR2JY2TJqfTs2ROjRo1CrVq1MH/+/HJ9d9u2bdi5cycee+wxzJkzB7t378bNmze5fAA5pZ49e2L//v3Ys2cPevbsafV5eHg4bty4AY1Gg0aNGqFRo0bw9PTEggULcPPmTWi1Wly+fNliDKu5ReVe//zzD3755ResXr0akydPRs+ePZGTkwOgemZGbNCgATw8PCzCd/HiRTz88MPQ6XSoVauWxdg/ADhx4gTCwsLKfS4/Pz8EBwfj+vXr4n1r1KgRvvzySxw5cqTS10Lu7fTp0+K/b9y4gWvXrqFp06YIDw+HwWCwmLglNzcXZ86cEZ/T2rVro127dtixYweOHDmC3r17A3DcM+nj44Nu3brhp59+wpEjR/D0009X+Dr/+9//4sKFC1i3bh3Gjx+Pbt26iRO32EoTwsLCYDAYkJubK4Y/KCgICxYsQHJycoXDQc7B3nNfkd89NDQUCQkJ4hhbAFi2bBlefvnlUvM1RwsNDcXly5dx69YtcdvWrVvx3HPPlSlOV0Txe5mfn4+zZ89arO8OlC1NKF5hLm3/GjVqIDg42GKC05s3b+Lq1asVvo57LVmyBJcuXcKzzz6LJUuWYNmyZfj111/LNY9GVWBFlpyOQqHArFmzsHPnThw+fLjM39PpdFiwYAEOHTqES5cuYdu2bRAEAc2aNavC0BJVTPfu3XH+/Hns3r0bMTExVp936tQJTZo0wdSpU3Hq1CnEx8fj1VdfxeXLl1G/fn106NABYWFhmD59Os6ePYtDhw5h1apVNs8VHBwMDw8P7NixA5cvX8bPP/+M6dOnA7DsElVVfHx8MGDAACxcuBDHjx/HuXPnMHv2bDRp0gS1a9fGuHHj8Nlnn2Hnzp1ITk7GsmXL8PPPP5d5Vsp7jR07Fp9++il27tyJ1NRULFu2DBs3bqxU4YTuDytXrsShQ4dw9uxZTJ8+HY0bN0b79u0RGhqKnj174s0338Rvv/0mfu7p6YmnnnpK/P7TTz+NNWvWoE6dOmjZsqW4vSLPpEajQUpKisUMsX379kVcXBz8/f0rtVxX7dq1YTAYsHPnTly+fBl79uwRXx6b04Ti5w8LC0P37t3x2muv4bfffkNiYiL+7//+D6dOnUJ4eHiFw0HOwd5zX5Hf3Txz8Zw5c5CUlIRDhw7hyy+/RJcuXUrN18pCo9EgMTGxTDPmPvLII2jUqBFmzJiBhIQEHD9+HJ988gkeffTRMsfp8oqLi8P333+PxMREvPnmm1AoFFa9n4DS0wS1Wo309HRcvHgRhYWFJe4vk8kwatQorFixAnv37sW5c+cwY8YMh65Nn5SUhLlz5+Lvv/9GSkoKfvjhB6tu21Jg12JyStHR0ejduzfmzJmDHTt2lOk7Q4cORXp6Ot5++22kp6fjgQcewMcff4wHHnigikNLVH6BgYFo06YNcnNzbY6Nk8vlWLFiBd59912MHDkScrkcHTp0wJIlS8TuP6tXr8asWbMwaNAg1K5dG6NHj8Z7771ndazatWtj7ty5+PTTT/Hpp5+ifv36GDp0KDZt2oTTp0/j0UcfrfLrff3117Fw4UJMmjQJRUVF6NSpE2bOnAkAGD58OHJzc/Hee+8hIyMDWq0WK1eutBhrVB4jR45Efn4+Fi9eLKYFS5cuRZs2bRx5SeSGBg4ciPnz5+PGjRvo2LEjFi1aJMa3+fPnY8GCBZgwYQIKCwvRrl07xMbGWoxTN3f/vbcgXJFncsiQIZg+fTr69OmDX375BXK5HJ07d4ZKpapUaywAREZGYurUqfjggw+Qk5OD0NBQTJ8+HfPmzcPp06cRHh5udf5FixZhwYIF+Ne//gW9Xi8ukefr61upsJD0Snruy/u7+/j4YPXq1Zg/fz769u2LoKAgTJw4Ef379weAUvO10owcORILFy7EiRMnbHZ5Ls7DwwMrVqzAvHnz8Nxzz8HX1xf9+vXDxIkTAZQtTpfXgAEDsHbtWiQmJiIyMhJffPGFOM733usoKU14/PHHsWnTJvTq1QvffPNNqfuPGTMGer0eb7/9NvLz8zFixAiLWdQra86cOXjnnXcwduxY5OfnIzIyEp999hnkcmnbRGVCdfQrIyIiInJiERERWLlyJbp16yZ1UOy6ffs2HnnkEfzwww9o1KiR1MEhN+AKz72r6N69O1544QUMHz5c6qDcN9giS0REROTE8vLycPjwYfzwww+IiopiJZaICKzIEhERETk1Dw8PzJw5EzVq1MCKFSssPuvfvz8uXLhg97ujR4/GlClTqjqIRNXq5MmTeP7550vcZ8uWLRxeBvdOI9i1mIiIiMhFXblyxWKG2Hv5+fmhRo0a1Rgioqqn1+tLnZW3Xr165V6Cxh25cxrBiiwRERERERG5FC6/Q0RERERERC6FFVkiIiIiIiJyKazIEhERERERkUthRZaIiIiIiIhcCiuyRERERERE5FL+H74Z51FXahC2AAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 950.4x950.4 with 20 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# aumento la dimensione del testo\n",
    "sns.set(font_scale = 1.2)\n",
    "\n",
    "# creo un pariplot\n",
    "g = sns.PairGrid(kills_by_city_factors.loc[:,:'percent_completed_hs'], height = 3.3)\n",
    "# imposto grafici sulla diagonale\n",
    "g.map_diag(sns.histplot, bins = 20)\n",
    "# imposto grafici fuori dalla diagonale\n",
    "g.map_offdiag(sns.scatterplot)\n",
    "\n",
    "# aggiungo il titolo della figura\n",
    "g.fig.suptitle('correlation between factors', y = 1.02, fontsize = 16)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Da questo pairplot emerge una correlazione negativa abbastanza forte tra il tasso di povertà della popolazione e la percentuale di over 25 che hanno completato la high school. Ovviamente il grafico denota anche una relazione di proporzionalità inversa tra il reddito mediano e il tasso di povertà.\n",
    "\n",
    "In molte città con un basso reddito mediano si verifica un alto numero di uccisioni: sintomo che in molti casi è la povertà che spinge le vittime a commettere crimini. \n",
    "\n",
    "Ciò che sorprende è il grande numero di uccisioni in città con percentuali di completamento dell'high school alte e poverty rate bassi: questo può essere dovuto anche al grande numero di abitanti di queste città. Per ovviare al probelma, di seguito approfondiremo l'analisi di quesi casi utilizzando il numero di uccisioni ogni 10mila abitanti. Per ottenere tassi attendibili prenderemo solamente campioni sufficientemente ampi, nel caso specifico città con più di 100mila abitanti."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {
    "jupyter": {
     "outputs_hidden": true
    }
   },
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plotly.com"
       },
       "data": [
        {
         "hovertemplate": "<b>%{hovertext}</b><br><br>kills_rate=%{marker.color}<br>lat=%{lat}<br>lng=%{lon}<extra></extra>",
         "hovertext": [
          "Pueblo",
          "Redding",
          "Las Cruces",
          "Billings",
          "Westminster",
          "San Bernardino",
          "Lakewood",
          "Sparks",
          "Odessa",
          "Arvada",
          "Amarillo",
          "Vancouver",
          "Centennial",
          "Albuquerque",
          "Bakersfield",
          "Kansas City",
          "Greeley",
          "Tacoma",
          "Longview",
          "Glendale",
          "Tempe",
          "League City",
          "Eau Claire",
          "Mesa",
          "Santa Fe",
          "West Jordan",
          "Grand Junction",
          "Long Beach",
          "Tulsa",
          "Midland",
          "Aurora",
          "Ontario",
          "Hemet",
          "Renton",
          "Tucson",
          "Kent",
          "Greenville",
          "Rialto",
          "Shreveport",
          "Jurupa Valley",
          "Chico",
          "Hillsboro",
          "Hayward",
          "Inglewood",
          "North Charleston",
          "Gulfport",
          "Stockton",
          "Miami Gardens",
          "Charleston",
          "Houma",
          "Springfield",
          "Clearwater",
          "El Monte",
          "Oklahoma City",
          "Evansville",
          "Torrance",
          "Fremont",
          "Paterson",
          "Topeka",
          "Beaumont",
          "Pearland",
          "Henderson",
          "Santa Ana",
          "Spokane",
          "Scottsdale",
          "Palmdale",
          "Boulder",
          "Modesto",
          "Fresno",
          "Anaheim",
          "Lakeland",
          "Deltona",
          "Arlington",
          "Yakima",
          "Vacaville",
          "Medford",
          "Jacksonville",
          "Temple",
          "St. Paul",
          "Corpus Christi",
          "Huntsville",
          "Bend",
          "Wichita",
          "El Cajon",
          "Vallejo",
          "Yuma",
          "Columbia",
          "Burbank",
          "Spring Hill",
          "Norfolk",
          "Burbank",
          "Fullerton",
          "Fontana",
          "Newark",
          "Pasadena",
          "Fort Lauderdale",
          "Tallahassee",
          "Metairie",
          "San Antonio",
          "Pompano Beach",
          "Colorado Springs",
          "Salem",
          "Waco",
          "Temecula",
          "Abilene",
          "Sunnyvale",
          "Las Vegas",
          "Oakland",
          "Independence",
          "Garland",
          "Irving",
          "Savannah",
          "North Las Vegas",
          "Johnson City",
          "Reno",
          "Nampa",
          "Eugene",
          "Newport News",
          "Chattanooga",
          "Gastonia",
          "Carrollton",
          "Thornton",
          "Brownsville",
          "Clarksville",
          "Columbus",
          "Fayetteville",
          "Santa Maria",
          "Orange",
          "Visalia",
          "Phoenix",
          "Jackson",
          "Fort Worth",
          "Little Rock",
          "El Paso",
          "Allen",
          "Vista",
          "Chandler",
          "Escondido",
          "Pomona",
          "Montgomery",
          "Myrtle Beach",
          "Gainesville",
          "Laredo",
          "St. Petersburg",
          "Salisbury",
          "Norwalk",
          "Baton Rouge",
          "Roanoke",
          "Burlington",
          "Everett",
          "Richmond",
          "Clovis",
          "Ocala",
          "Gresham",
          "Coeur d'Alene",
          "Austin",
          "St. Cloud",
          "Lincoln",
          "Kansas City",
          "Kingsport",
          "High Point",
          "Saginaw",
          "Yuba City",
          "Round Rock",
          "Cedar Rapids",
          "Memphis",
          "Overland Park",
          "Mobile",
          "Santa Clara",
          "Omaha",
          "Columbus",
          "St. Louis",
          "North Port",
          "Racine",
          "Lubbock",
          "Denver",
          "Gainesville",
          "Surprise",
          "Huntington Beach",
          "Birmingham",
          "Warren",
          "Chula Vista",
          "Durham",
          "West Valley City",
          "Moreno Valley",
          "Olathe",
          "Pensacola",
          "Green Bay",
          "Miramar",
          "Toledo",
          "Lancaster",
          "Rockford",
          "Mesquite",
          "Mesquite",
          "Panama City",
          "Avondale",
          "Salt Lake City",
          "Elkhart",
          "Joliet",
          "Appleton",
          "Fort Collins",
          "Antioch",
          "Lake Charles",
          "Hollywood",
          "Tuscaloosa",
          "Kennewick",
          "Orlando",
          "Greenville",
          "Port Arthur",
          "Houston",
          "Lafayette",
          "Hialeah",
          "Akron",
          "Gilbert",
          "Atlantic City",
          "Manchester",
          "Milwaukee",
          "Syracuse",
          "Fort Wayne",
          "Wilmington",
          "San Jose",
          "Knoxville",
          "Baltimore",
          "Flint",
          "Corona",
          "Peoria",
          "Fayetteville",
          "Elk Grove",
          "Garden Grove",
          "Victorville",
          "Peoria",
          "Denton",
          "Oceanside",
          "Sioux Falls",
          "Spartanburg",
          "South Bend",
          "Plano",
          "Salinas",
          "Charlotte",
          "Sacramento",
          "Trenton",
          "Aurora",
          "Woodbridge",
          "Lancaster",
          "Logan",
          "Yonkers",
          "Indio",
          "Norwich",
          "Charlottesville",
          "La Crosse",
          "Columbia",
          "Portland",
          "Santa Clarita",
          "Highlands Ranch",
          "San Mateo",
          "Davie",
          "Sandy Springs",
          "Turlock",
          "Hickory",
          "West Covina",
          "Daly City",
          "Kalamazoo",
          "West Palm Beach",
          "Harrisburg",
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           "showland": true,
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          },
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           "align": "left"
          },
          "hovermode": "closest",
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           "style": "light"
          },
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            "gridcolor": "white",
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           "bgcolor": "#E5ECF6",
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          },
          "scene": {
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            "gridcolor": "white",
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            "gridwidth": 2,
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           }
          },
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           "line": {
            "color": "#2a3f5f"
           }
          },
          "ternary": {
           "aaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "baxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "caxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
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           },
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           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "white",
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           },
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           "zerolinewidth": 2
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        },
        "title": {
         "text": "KILLS RATE BY CITY"
        },
        "width": 1000
       }
      }
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# creo un dataframe con le città con più di 100 mila abitanti\n",
    "kills_by_bigcity = kills_by_city_factors[kills_by_city_factors.population >= 100000]\n",
    "\n",
    "# calcolo persone uccise per 10k abitanti\n",
    "kills_by_bigcity['kills_rate'] = round(kills_by_bigcity.kills/kills_by_bigcity.population * 10000, 3)\n",
    "\n",
    "# ordino in base ai tassi\n",
    "kills_by_bigcity.sort_values(by = 'kills_rate', ascending = False, inplace = True)\n",
    "\n",
    "# salvo access token\n",
    "access_token = 'pk.eyJ1IjoiZWRvdHVycmkiLCJhIjoiY2t1djM3Ym95MWR0dDJvbzI1MXJpOWJpZSJ9.wd6mEi7SSFead6KlWIbsjQ'\n",
    "\n",
    "# creo mappa delle città col più alto tasso di uccisioni \n",
    "fig = px.scatter_mapbox(data_frame = kills_by_bigcity, lat=\"lat\", lon=\"lng\", hover_name = \"city\", color = 'kills_rate', color_continuous_scale = 'matter', zoom = 3.25, height = 500, width = 1000, size = 'kills_rate', title = 'KILLS RATE BY CITY')\n",
    "\n",
    "# modifico lo stile del grafico\n",
    "fig.update_layout(mapbox_style = \"streets\", mapbox_accesstoken = access_token)\n",
    "\n",
    "# modifico i margini\n",
    "fig.update_layout(margin = {\"r\":0, \"t\": 50, \"l\":0, \"b\":0})\n",
    "\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 864x288 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# aumento il font\n",
    "sns.set(font_scale = 1)\n",
    "\n",
    "# creo un pairplot\n",
    "g = sns.PairGrid(kills_by_bigcity, y_vars = ['kills_rate'], x_vars = ['poverty_rate','Median Income','percent_completed_hs'], height = 4)\n",
    "g.map(sns.scatterplot)\n",
    "\n",
    "# aggiungo il titolo\n",
    "g.fig.suptitle('distribuzione dei tassi di uccisione rispetto a vari fattori', y = 1.03)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Analizzando più nel dettaglio questi grafici si può notare come ora il poverty rate sia meno correlato alle uccisioni rispetto al grafico precedente. Permangono alcuni tassi di uccisioni molto alti in città con una percentuale di completamento dell'high school molto alta: questo può essere legato al fatto che il numero di città in questa fascia è molto elevato, e quindi più probabile trovare outliers all'interno di questo intervallo."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Analisi temporale"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# calcolo il numero di morti per ogni mese\n",
    "kills_by_Q = kills.resample('Q', on = 'date').id.count()\n",
    "\n",
    "# creo un lineplot\n",
    "sns.lineplot(x = kills_by_Q.index, y = kills_by_Q.values)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>weekday</th>\n",
       "      <th>kills</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Friday</td>\n",
       "      <td>896</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Monday</td>\n",
       "      <td>847</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Saturday</td>\n",
       "      <td>829</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Sunday</td>\n",
       "      <td>864</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Thursday</td>\n",
       "      <td>935</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Tuesday</td>\n",
       "      <td>964</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Wednesday</td>\n",
       "      <td>934</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     weekday  kills\n",
       "0     Friday    896\n",
       "1     Monday    847\n",
       "2   Saturday    829\n",
       "3     Sunday    864\n",
       "4   Thursday    935\n",
       "5    Tuesday    964\n",
       "6  Wednesday    934"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# morti per giorno della settimana\n",
    "kills_by_weekday = kills.groupby(kills.date.dt.day_name()).size().reset_index().rename(columns = {0 : 'kills', 'date':'weekday'})\n",
    "\n",
    "# ordino i giorni della settimana\n",
    "kills_by_weekday.weekday = pd.Categorical(kills_by_weekday.weekday, categories=['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday', 'Sunday'], ordered=True)\n",
    "\n",
    "# stampo il dataframe\n",
    "kills_by_weekday"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# creo un barplot\n",
    "sns.barplot(data = kills_by_weekday, x = 'weekday', y = 'kills', edgecolor = 'black')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1123.2x864 with 7 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# creo colonna con anno dell'evento\n",
    "kills['year'] = kills.date.dt.strftime('%Y')\n",
    "\n",
    "# creo colonna con mese dell'evento\n",
    "kills['month'] = kills.date.dt.strftime('%m')\n",
    "\n",
    "# creo un catplot\n",
    "sns.catplot(kind = 'count', x = 'month', col = 'year', col_wrap = 3, data = kills, palette = 'pastel', edgecolor = 'black', height = 4, aspect = 1.3)\n",
    "\n",
    "plt.show()"
   ]
  },
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   "source": [
    "Conclusioni\n",
    "===\n",
    "Analizzando nello specifico i dati abbiamo concluso che:\n",
    "1. Il numero di vittime della polizia varia molto da stato a stato.\n",
    "2. E' necessario tenere conto di questa differenza quando si analizza gli stati in cui potrebbe esistere un fenomeno razzista.\n",
    "3. In alcuni stati la quota di vittime nere è sensibilmente più alta rispetto della loro quota nella popolazione, in altri è molto inferiore. In generale la quota di vittime nere è più alta della relativa proporzione nella popolazione.\n",
    "4. La maggior parte delle vittime è uccisa attraverso colpi di arma da fuoco e non stava scappando al momento della morte.\n",
    "5. Molte vittime stavano aggredendo gli ufficiali al momento della morte.\n",
    "6. Il numero di uomini uccisi è sensibilmente maggiore rispetto a quello delle donne, ma non sembrano esserci differenze tra i sessi rispetto alla distribuzione per età.\n",
    "7. In paesi con una basso reddito mediano e un alto poverty rate, il tasso di uccisione è maggiore."
   ]
  }
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