{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "c6a063ef",
   "metadata": {},
   "source": [
    "**--> Referências** Pag 73 do Guide v3.7. Observar o significado dos qc1a7 no Guide avançado v3.4 pag 67"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5991ef15-c4e8-4b29-8f55-0b3d430bed43",
   "metadata": {},
   "source": [
    "# Análise dos dados de Radiância - Fort.207\n",
    "\n",
    "O arquivo padrão de saída **fort.207** contém informações importantes sobre analises estatísticas dos dados de **radiância**. Este arquivo é dividio em três partes. A primeira parte lista o conteúdo do arquivo *satinfo* (arquivo para controle dos dados de **radiância**), a segunda parte lista os coeficientes para correção de viés após ler o arquivo *satbias_in* e a terceira parte fornece estatísticas detalhadas sobre os dado em três estágios (`it`):\n",
    "\n",
    "-> *stage o-g 01* (`it = 1`): dados antes do 1º loop externo (*outer loop*);\n",
    "\n",
    "-> *stage o-g 02* (`it = 2`): dados entre o 1º e o 2º loops externos;\n",
    "\n",
    "-> *stage o-g 03* (`it = 3`): dados após o 2º loop externo.\n",
    "\n",
    "A terceira parte do arquivo **fort.207** é subdividida em três seções. Cada seção trás uma tabela, sendo estas caracterizadas da seguinte forma:\n",
    "\n",
    "-> **Tabela A** (`tab = 0`): sumário para várias estatísticas como uma função do tipo de observação.\n",
    "\n",
    "*Colunas da tabela:*\n",
    "\n",
    "`'it', 'sat', 'type', 'penalty', 'nobs', 'iland', 'isnoice', 'icoast', 'ireduce', 'ivarl', 'nlgross', 'qcpenalty', 'qc1', 'qc2', 'qc3', 'qc4', 'qc5', 'qc6', 'qc7'`\n",
    "\n",
    "-> **Tabela B** (`tab = 1`): sumário para várias estatísticas como uma função do canal.\n",
    "\n",
    "*Colunas da tabela:*\n",
    "\n",
    "`'it', 'SN satinfo', 'nchan', 'type', 'sat', 'nobsused', 'nobstossed', 'varCH', 'biasBC', 'biasAC', 'penaltyCH', 'sqrt', 'STD'`\n",
    "\n",
    "-> **Tabela C** (`tab = 2`): sumário para cada tipo de observação.\n",
    "\n",
    "*Colunas da tabela:*\n",
    "\n",
    "`'it', 'sat', 'type', 'read', 'keep', 'assim', 'penalty', 'qcpnlty', 'cpen', 'qccpen'`\n",
    "\n",
    "## Leitura do arquivo **fort.207**\n",
    "\n",
    "Neste notebook serão apresentadas as funções criadas na classe `read_diag` para ler e organizar na forma de DataFrames as Tabelas A, B e C disponíveis nos 3 estágios.\n",
    "\n",
    "1. `fort_207_read(DIRdiag, dates):` esta função lê todas as linhas do arquivo **fort.207** identifica as tabelas A, B e C, organiza as informações dos 3 estágios (`it`) no mesmo dataframe. No final a função concatena as tabelas formando uma lista bidimensional de tabelas com relação ao tempo (range de datas) e tipo de tabela (`tab`). Abaixo você pode visualizar um exemplo das três tabelas no date = `'2024030100'` do EXP21.\n",
    "\n",
    "   -> **Tabela A** - `tab = 0`:\n",
    "   \n",
    "   <img src=notefigs/Fort207_TableA_tab0.png style=\"width: 800px;\">\n",
    "   <br>\n",
    "\n",
    "   -> **Tabela B** - `tab = 1`:\n",
    "   \n",
    "   <img src=notefigs/Fort207_TableB_tab1.png style=\"width: 800px;\">\n",
    "   <br>\n",
    "\n",
    "   -> **Tabela C** - `tab = 2`:\n",
    "   \n",
    "   <img src=notefigs/Fort207_TableC_tab2.png style=\"width: 600px;\">\n",
    "   <br>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a02883da-a398-407d-ab4a-1ec2d5a204e8",
   "metadata": {},
   "source": [
    "## Importa as bibliotecas utilizadas no readDiag"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "e6c764fb",
   "metadata": {},
   "outputs": [],
   "source": [
    "import gsidiag as gd\n",
    "\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from datetime import datetime, timedelta\n",
    "from gsidiag.datasources import getVarInfo # NEW !!!!\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d33b7fa0-6c74-4ced-9517-47dc76cc5278",
   "metadata": {},
   "source": [
    "## Leitura dos arquivos\n",
    "\n",
    "Realiza o processo de leitura do arquivo **fort.207** a partir dos dados iniciais fornecidos pelo usuário."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "e8e75c33",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['2026080100', '2026080106', '2026080112', '2026080118', '2026080200', '2026080206', '2026080212', '2026080218', '2026080300', '2026080306', '2026080312', '2026080318', '2026080400', '2026080406', '2026080412', '2026080418', '2026080500']\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Rodada do Experimento 19 (Fazer 1ª rodada para FEV e 2ª rodada para MAR)\n",
    "# DIRdiag = '/home/radiancia/Exp_SMNA/data/EXP19/gsi_dataout'\n",
    "# Rodada do Experimento 20 (Fazer rodada para FEV)\n",
    "# DIRdiag = '/home/radiancia/Exp_SMNA/data/EXP20/gsi_dataout'\n",
    "# Rodada do Experimento 21 (Fazer rodada para MAR)\n",
    "#DIRdiag = '/home/radiancia/Exp_SMNA/data/EXP21/gsi_dataout'\n",
    "#DIRdiag = '/mnt/beegfs/caroline.viezel/SMNA_v3.0.0.t11889/SMG/datainout/gsi/dataout/CNT_ATMS_warm_OCT-NOV2025'\n",
    "DIRdiag = '/pesq/share/das/dist/luiz.sapucci/SMNAfluxCPT/gsi_dataout'\n",
    "EXP19 = True\n",
    "EXP20 = False\n",
    "EXP21 = False\n",
    "\n",
    "#varType = 'n19' #['n15', 'n18', 'n19']#, 'metop-b']\n",
    "#varName = 'amsua' #'hirs4' #'amsua'\n",
    "# dateIni = '2025100112' \n",
    "# dateFin = '2025113018' \n",
    "# nHour = '06'      \n",
    "\n",
    "dateIni = '2026080100' \n",
    "dateFin = '2026080500' \n",
    "nHour = '06' \n",
    "\n",
    "datei = datetime.strptime(str(dateIni), '%Y%m%d%H')\n",
    "datef = datetime.strptime(str(dateFin), '%Y%m%d%H')\n",
    "dates = [dates.strftime('%Y%m%d%H') for dates in pd.date_range(datei, datef,freq='6H').tolist()]\n",
    "\n",
    "print(dates)\n",
    "print('')\n",
    "    \n",
    "# Leitura dos arquivos de diagnósticos\n",
    "read = False\n",
    "    \n",
    "# Finalizando: liberando memória arquivos de diagnóstico\n",
    "if read:\n",
    "    for file in gdf_list:\n",
    "        if file._FNumber != None:\n",
    "            file.close()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fd264cfe-cc42-4f0b-990f-7753c7aa12f6",
   "metadata": {},
   "source": [
    "Leitura e construção das tabelas. Concatena o range de tabelas na variável `Self`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "e428fe3b-ac2d-4ef2-8992-3c21af61ff5f",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      ">>>> Leitura: fort_207_read <<<<\n",
      "\n",
      "DIRdiag =  /pesq/share/das/dist/luiz.sapucci/SMNAfluxCPT/gsi_dataout\n",
      "\n",
      "TABLE A: Names columns A =  ['it', 'sat', 'type', 'penalty', 'nobs', 'iland', 'isnoice', 'icoast', 'ireduce', 'ivarl', 'nlgross', 'qcpenalty', 'qc1', 'qc2', 'qc3', 'qc4', 'qc5', 'qc6', 'qc7']\n",
      "\n",
      "TABLE B: Names columns B =  ['it', 'SN satinfo', 'nchan', 'type', 'sat', 'nobsused', 'nobstossed', 'varCH', 'biasBC', 'biasAC', 'penaltyCH', 'sqrt', 'STD']\n",
      "\n",
      "TABLE C: Names columns C =  ['it', 'sat', 'type', 'read', 'keep', 'assim', 'penalty', 'qcpnlty', 'cpen', 'qccpen']\n",
      "\n",
      "['/pesq/share/das/dist/luiz.sapucci/SMNAfluxCPT/gsi_dataout/2026080100/fort.207', '/pesq/share/das/dist/luiz.sapucci/SMNAfluxCPT/gsi_dataout/2026080106/fort.207', '/pesq/share/das/dist/luiz.sapucci/SMNAfluxCPT/gsi_dataout/2026080112/fort.207', '/pesq/share/das/dist/luiz.sapucci/SMNAfluxCPT/gsi_dataout/2026080118/fort.207', '/pesq/share/das/dist/luiz.sapucci/SMNAfluxCPT/gsi_dataout/2026080200/fort.207', '/pesq/share/das/dist/luiz.sapucci/SMNAfluxCPT/gsi_dataout/2026080206/fort.207', '/pesq/share/das/dist/luiz.sapucci/SMNAfluxCPT/gsi_dataout/2026080212/fort.207', '/pesq/share/das/dist/luiz.sapucci/SMNAfluxCPT/gsi_dataout/2026080218/fort.207', '/pesq/share/das/dist/luiz.sapucci/SMNAfluxCPT/gsi_dataout/2026080300/fort.207', '/pesq/share/das/dist/luiz.sapucci/SMNAfluxCPT/gsi_dataout/2026080306/fort.207', '/pesq/share/das/dist/luiz.sapucci/SMNAfluxCPT/gsi_dataout/2026080312/fort.207', '/pesq/share/das/dist/luiz.sapucci/SMNAfluxCPT/gsi_dataout/2026080318/fort.207', '/pesq/share/das/dist/luiz.sapucci/SMNAfluxCPT/gsi_dataout/2026080400/fort.207', '/pesq/share/das/dist/luiz.sapucci/SMNAfluxCPT/gsi_dataout/2026080406/fort.207', '/pesq/share/das/dist/luiz.sapucci/SMNAfluxCPT/gsi_dataout/2026080412/fort.207', '/pesq/share/das/dist/luiz.sapucci/SMNAfluxCPT/gsi_dataout/2026080418/fort.207', '/pesq/share/das/dist/luiz.sapucci/SMNAfluxCPT/gsi_dataout/2026080500/fort.207']\n",
      "\n",
      "Reading /pesq/share/das/dist/luiz.sapucci/SMNAfluxCPT/gsi_dataout/2026080100/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-08-01:00\n",
      "\n",
      "Nº total de linhas = 9113\n",
      "nl final = 9113\n",
      "\n",
      "Reading /pesq/share/das/dist/luiz.sapucci/SMNAfluxCPT/gsi_dataout/2026080106/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-08-01:06\n",
      "\n",
      "Nº total de linhas = 9113\n",
      "nl final = 9113\n",
      "\n",
      "Reading /pesq/share/das/dist/luiz.sapucci/SMNAfluxCPT/gsi_dataout/2026080112/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-08-01:12\n",
      "\n",
      "Nº total de linhas = 9113\n",
      "nl final = 9113\n",
      "\n",
      "Reading /pesq/share/das/dist/luiz.sapucci/SMNAfluxCPT/gsi_dataout/2026080118/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-08-01:18\n",
      "\n",
      "Nº total de linhas = 9090\n",
      "nl final = 9090\n",
      "\n",
      "Reading /pesq/share/das/dist/luiz.sapucci/SMNAfluxCPT/gsi_dataout/2026080200/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-08-02:00\n",
      "\n",
      "Nº total de linhas = 9113\n",
      "nl final = 9113\n",
      "\n",
      "Reading /pesq/share/das/dist/luiz.sapucci/SMNAfluxCPT/gsi_dataout/2026080206/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-08-02:06\n",
      "\n",
      "Nº total de linhas = 9095\n",
      "nl final = 9095\n",
      "\n",
      "Reading /pesq/share/das/dist/luiz.sapucci/SMNAfluxCPT/gsi_dataout/2026080212/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-08-02:12\n",
      "\n",
      "Nº total de linhas = 9113\n",
      "nl final = 9113\n",
      "\n",
      "Reading /pesq/share/das/dist/luiz.sapucci/SMNAfluxCPT/gsi_dataout/2026080218/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-08-02:18\n",
      "\n",
      "Nº total de linhas = 9092\n",
      "nl final = 9092\n",
      "\n",
      "Reading /pesq/share/das/dist/luiz.sapucci/SMNAfluxCPT/gsi_dataout/2026080300/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-08-03:00\n",
      "\n",
      "Nº total de linhas = 9113\n",
      "nl final = 9113\n",
      "\n",
      "Reading /pesq/share/das/dist/luiz.sapucci/SMNAfluxCPT/gsi_dataout/2026080306/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-08-03:06\n",
      "\n",
      "Nº total de linhas = 9011\n",
      "nl final = 9011\n",
      "\n",
      "Reading /pesq/share/das/dist/luiz.sapucci/SMNAfluxCPT/gsi_dataout/2026080312/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-08-03:12\n",
      "\n",
      "Nº total de linhas = 9029\n",
      "nl final = 9029\n",
      "\n",
      "Reading /pesq/share/das/dist/luiz.sapucci/SMNAfluxCPT/gsi_dataout/2026080318/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-08-03:18\n",
      "\n",
      "Nº total de linhas = 9005\n",
      "nl final = 9005\n",
      "\n",
      "Reading /pesq/share/das/dist/luiz.sapucci/SMNAfluxCPT/gsi_dataout/2026080400/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-08-04:00\n",
      "\n",
      "Nº total de linhas = 9005\n",
      "nl final = 9005\n",
      "\n",
      "Reading /pesq/share/das/dist/luiz.sapucci/SMNAfluxCPT/gsi_dataout/2026080406/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-08-04:06\n",
      "\n",
      "Nº total de linhas = 9011\n",
      "nl final = 9011\n",
      "\n",
      "Reading /pesq/share/das/dist/luiz.sapucci/SMNAfluxCPT/gsi_dataout/2026080412/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-08-04:12\n",
      "\n",
      "Nº total de linhas = 8861\n",
      "nl final = 8861\n",
      "\n",
      "Reading /pesq/share/das/dist/luiz.sapucci/SMNAfluxCPT/gsi_dataout/2026080418/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-08-04:18\n",
      "\n",
      "Nº total de linhas = 9092\n",
      "nl final = 9092\n",
      "\n",
      "Reading /pesq/share/das/dist/luiz.sapucci/SMNAfluxCPT/gsi_dataout/2026080500/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-08-05:00\n",
      "\n",
      "Nº total de linhas = 9113\n",
      "nl final = 9113\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print('')\n",
    "print('>>>> Leitura: fort_207_read <<<<')\n",
    "print('')\n",
    "Self = gd.read_diag.fort_207_read(DIRdiag, dates)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "57aac542-9e04-44ee-92a2-fa42a128f416",
   "metadata": {},
   "source": [
    "Abaixo segue um exemplo para visualização a Tabela A (`tab = 0`)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "3377eb2b-a93c-4587-ba3c-0f87dfa83caa",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>0</td>\n",
       "      <td>21466.184798</td>\n",
       "      <td>6907</td>\n",
       "      <td>500</td>\n",
       "      <td>1041</td>\n",
       "      <td>182</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2</td>\n",
       "      <td>metop-b</td>\n",
       "      <td>amsua</td>\n",
       "      <td>25668.496685</td>\n",
       "      <td>9036</td>\n",
       "      <td>8468</td>\n",
       "      <td>449</td>\n",
       "      <td>119</td>\n",
       "      <td>2865</td>\n",
       "      <td>5275</td>\n",
       "      <td>0</td>\n",
       "      <td>25668.496685</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>398</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2</td>\n",
       "      <td>metop-c</td>\n",
       "      <td>amsua</td>\n",
       "      <td>8689.854484</td>\n",
       "      <td>4111</td>\n",
       "      <td>3666</td>\n",
       "      <td>397</td>\n",
       "      <td>48</td>\n",
       "      <td>1239</td>\n",
       "      <td>4126</td>\n",
       "      <td>0</td>\n",
       "      <td>8689.854484</td>\n",
       "      <td>1313</td>\n",
       "      <td>76</td>\n",
       "      <td>373</td>\n",
       "      <td>363</td>\n",
       "      <td>16</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2</td>\n",
       "      <td>npp</td>\n",
       "      <td>atms</td>\n",
       "      <td>7668.720410</td>\n",
       "      <td>9398</td>\n",
       "      <td>9141</td>\n",
       "      <td>249</td>\n",
       "      <td>8</td>\n",
       "      <td>3016</td>\n",
       "      <td>781</td>\n",
       "      <td>0</td>\n",
       "      <td>7668.720410</td>\n",
       "      <td>8219</td>\n",
       "      <td>525</td>\n",
       "      <td>307</td>\n",
       "      <td>126</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2</td>\n",
       "      <td>n20</td>\n",
       "      <td>atms</td>\n",
       "      <td>6458.384403</td>\n",
       "      <td>9090</td>\n",
       "      <td>8755</td>\n",
       "      <td>329</td>\n",
       "      <td>6</td>\n",
       "      <td>3023</td>\n",
       "      <td>708</td>\n",
       "      <td>0</td>\n",
       "      <td>6458.384403</td>\n",
       "      <td>7751</td>\n",
       "      <td>587</td>\n",
       "      <td>338</td>\n",
       "      <td>165</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2</td>\n",
       "      <td>n21</td>\n",
       "      <td>atms</td>\n",
       "      <td>6582.736422</td>\n",
       "      <td>8979</td>\n",
       "      <td>8682</td>\n",
       "      <td>294</td>\n",
       "      <td>3</td>\n",
       "      <td>2890</td>\n",
       "      <td>691</td>\n",
       "      <td>0</td>\n",
       "      <td>6582.736422</td>\n",
       "      <td>7523</td>\n",
       "      <td>562</td>\n",
       "      <td>334</td>\n",
       "      <td>182</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>3</td>\n",
       "      <td>metop-b</td>\n",
       "      <td>amsua</td>\n",
       "      <td>20760.013330</td>\n",
       "      <td>9036</td>\n",
       "      <td>8468</td>\n",
       "      <td>449</td>\n",
       "      <td>119</td>\n",
       "      <td>2865</td>\n",
       "      <td>3739</td>\n",
       "      <td>0</td>\n",
       "      <td>20760.013330</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>398</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>3</td>\n",
       "      <td>metop-c</td>\n",
       "      <td>amsua</td>\n",
       "      <td>7304.857305</td>\n",
       "      <td>4111</td>\n",
       "      <td>3666</td>\n",
       "      <td>397</td>\n",
       "      <td>48</td>\n",
       "      <td>1239</td>\n",
       "      <td>4010</td>\n",
       "      <td>0</td>\n",
       "      <td>7304.857305</td>\n",
       "      <td>1528</td>\n",
       "      <td>107</td>\n",
       "      <td>126</td>\n",
       "      <td>363</td>\n",
       "      <td>16</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>3</td>\n",
       "      <td>npp</td>\n",
       "      <td>atms</td>\n",
       "      <td>6299.835349</td>\n",
       "      <td>9398</td>\n",
       "      <td>9141</td>\n",
       "      <td>249</td>\n",
       "      <td>8</td>\n",
       "      <td>3016</td>\n",
       "      <td>777</td>\n",
       "      <td>0</td>\n",
       "      <td>6299.835349</td>\n",
       "      <td>8120</td>\n",
       "      <td>566</td>\n",
       "      <td>291</td>\n",
       "      <td>126</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>3</td>\n",
       "      <td>n20</td>\n",
       "      <td>atms</td>\n",
       "      <td>5439.565749</td>\n",
       "      <td>9090</td>\n",
       "      <td>8755</td>\n",
       "      <td>329</td>\n",
       "      <td>6</td>\n",
       "      <td>3023</td>\n",
       "      <td>691</td>\n",
       "      <td>0</td>\n",
       "      <td>5439.565749</td>\n",
       "      <td>7615</td>\n",
       "      <td>674</td>\n",
       "      <td>327</td>\n",
       "      <td>165</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>3</td>\n",
       "      <td>n21</td>\n",
       "      <td>atms</td>\n",
       "      <td>5377.278343</td>\n",
       "      <td>8979</td>\n",
       "      <td>8682</td>\n",
       "      <td>294</td>\n",
       "      <td>3</td>\n",
       "      <td>2890</td>\n",
       "      <td>581</td>\n",
       "      <td>0</td>\n",
       "      <td>5377.278343</td>\n",
       "      <td>7531</td>\n",
       "      <td>603</td>\n",
       "      <td>312</td>\n",
       "      <td>182</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    it      sat   type       penalty  nobs  iland  isnoice  icoast  ireduce  \\\n",
       "0    1  metop-b  amsua  57716.648289  9036   8468      449     119     2865   \n",
       "1    1  metop-c  amsua  20146.804183  4111   3666      397      48     1239   \n",
       "2    1      npp   atms  21917.684893  9398   9141      249       8     3016   \n",
       "3    1      n20   atms  20395.005113  9090   8755      329       6     3023   \n",
       "4    1      n21   atms  21466.184798  8979   8682      294       3     2890   \n",
       "5    2  metop-b  amsua  25668.496685  9036   8468      449     119     2865   \n",
       "6    2  metop-c  amsua   8689.854484  4111   3666      397      48     1239   \n",
       "7    2      npp   atms   7668.720410  9398   9141      249       8     3016   \n",
       "8    2      n20   atms   6458.384403  9090   8755      329       6     3023   \n",
       "9    2      n21   atms   6582.736422  8979   8682      294       3     2890   \n",
       "10   3  metop-b  amsua  20760.013330  9036   8468      449     119     2865   \n",
       "11   3  metop-c  amsua   7304.857305  4111   3666      397      48     1239   \n",
       "12   3      npp   atms   6299.835349  9398   9141      249       8     3016   \n",
       "13   3      n20   atms   5439.565749  9090   8755      329       6     3023   \n",
       "14   3      n21   atms   5377.278343  8979   8682      294       3     2890   \n",
       "\n",
       "    ivarl  nlgross     qcpenalty   qc1  qc2   qc3  qc4  qc5  qc6  qc7  \n",
       "0   12234        0  57716.648289     0    0     0  398    9    0    0  \n",
       "1    5165        0  20146.804183   660   39  1075  363   16    0    0  \n",
       "2    3893        0  21917.684893  7385  484  1233  126    1    0    0  \n",
       "3    3344        0  20395.005113  7007  520  1211  165    0    0    0  \n",
       "4    3279        0  21466.184798  6907  500  1041  182    8    0    0  \n",
       "5    5275        0  25668.496685     0    0     0  398    9    0    0  \n",
       "6    4126        0   8689.854484  1313   76   373  363   16    0    0  \n",
       "7     781        0   7668.720410  8219  525   307  126    1    0    0  \n",
       "8     708        0   6458.384403  7751  587   338  165    0    0    0  \n",
       "9     691        0   6582.736422  7523  562   334  182    8    0    0  \n",
       "10   3739        0  20760.013330     0    0     0  398    9    0    0  \n",
       "11   4010        0   7304.857305  1528  107   126  363   16    0    0  \n",
       "12    777        0   6299.835349  8120  566   291  126    1    0    0  \n",
       "13    691        0   5439.565749  7615  674   327  165    0    0    0  \n",
       "14    581        0   5377.278343  7531  603   312  182    8    0    0  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tidx = 0\n",
    "tab = 0\n",
    "Self[tidx][tab]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9310f710-f9fb-4a84-a600-7b9205176ce7",
   "metadata": {},
   "source": [
    "Exemplo Tabela B (`tab = 1`)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "eb87a0a0-0d66-4ddb-82b8-e316689b0006",
   "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>it</th>\n",
       "      <th>SN satinfo</th>\n",
       "      <th>nchan</th>\n",
       "      <th>type</th>\n",
       "      <th>sat</th>\n",
       "      <th>nobsused</th>\n",
       "      <th>nobstossed</th>\n",
       "      <th>varCH</th>\n",
       "      <th>biasBC</th>\n",
       "      <th>biasAC</th>\n",
       "      <th>penaltyCH</th>\n",
       "      <th>sqrt</th>\n",
       "      <th>STD</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>1610</td>\n",
       "      <td>1</td>\n",
       "      <td>atms</td>\n",
       "      <td>npp</td>\n",
       "      <td>217</td>\n",
       "      <td>1</td>\n",
       "      <td>-4.50</td>\n",
       "      <td>-1.402569</td>\n",
       "      <td>-0.774128</td>\n",
       "      <td>0.045778</td>\n",
       "      <td>2.089933</td>\n",
       "      <td>1.941274</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>1611</td>\n",
       "      <td>2</td>\n",
       "      <td>atms</td>\n",
       "      <td>npp</td>\n",
       "      <td>218</td>\n",
       "      <td>0</td>\n",
       "      <td>-4.50</td>\n",
       "      <td>-0.817249</td>\n",
       "      <td>-0.468433</td>\n",
       "      <td>0.041136</td>\n",
       "      <td>2.057269</td>\n",
       "      <td>2.003229</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>1612</td>\n",
       "      <td>3</td>\n",
       "      <td>atms</td>\n",
       "      <td>npp</td>\n",
       "      <td>217</td>\n",
       "      <td>1</td>\n",
       "      <td>-4.50</td>\n",
       "      <td>0.276434</td>\n",
       "      <td>0.137962</td>\n",
       "      <td>0.014767</td>\n",
       "      <td>1.025069</td>\n",
       "      <td>1.015742</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>1613</td>\n",
       "      <td>4</td>\n",
       "      <td>atms</td>\n",
       "      <td>npp</td>\n",
       "      <td>218</td>\n",
       "      <td>0</td>\n",
       "      <td>-2.50</td>\n",
       "      <td>-0.165406</td>\n",
       "      <td>0.178800</td>\n",
       "      <td>0.015918</td>\n",
       "      <td>0.657256</td>\n",
       "      <td>0.632468</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>1614</td>\n",
       "      <td>5</td>\n",
       "      <td>atms</td>\n",
       "      <td>npp</td>\n",
       "      <td>218</td>\n",
       "      <td>0</td>\n",
       "      <td>-0.55</td>\n",
       "      <td>-0.595235</td>\n",
       "      <td>0.207910</td>\n",
       "      <td>0.040750</td>\n",
       "      <td>0.398371</td>\n",
       "      <td>0.339813</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262</th>\n",
       "      <td>3</td>\n",
       "      <td>3903</td>\n",
       "      <td>18</td>\n",
       "      <td>atms</td>\n",
       "      <td>n21</td>\n",
       "      <td>255</td>\n",
       "      <td>62</td>\n",
       "      <td>-3.50</td>\n",
       "      <td>-0.503094</td>\n",
       "      <td>-0.335560</td>\n",
       "      <td>0.031492</td>\n",
       "      <td>0.983781</td>\n",
       "      <td>0.924783</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>263</th>\n",
       "      <td>3</td>\n",
       "      <td>3904</td>\n",
       "      <td>19</td>\n",
       "      <td>atms</td>\n",
       "      <td>n21</td>\n",
       "      <td>255</td>\n",
       "      <td>62</td>\n",
       "      <td>-3.00</td>\n",
       "      <td>-0.311165</td>\n",
       "      <td>-0.375346</td>\n",
       "      <td>0.042613</td>\n",
       "      <td>0.986719</td>\n",
       "      <td>0.912540</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>264</th>\n",
       "      <td>3</td>\n",
       "      <td>3905</td>\n",
       "      <td>20</td>\n",
       "      <td>atms</td>\n",
       "      <td>n21</td>\n",
       "      <td>251</td>\n",
       "      <td>66</td>\n",
       "      <td>-3.00</td>\n",
       "      <td>-0.134176</td>\n",
       "      <td>-0.245382</td>\n",
       "      <td>0.042141</td>\n",
       "      <td>0.961962</td>\n",
       "      <td>0.930139</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>265</th>\n",
       "      <td>3</td>\n",
       "      <td>3906</td>\n",
       "      <td>21</td>\n",
       "      <td>atms</td>\n",
       "      <td>n21</td>\n",
       "      <td>258</td>\n",
       "      <td>59</td>\n",
       "      <td>-3.00</td>\n",
       "      <td>0.021668</td>\n",
       "      <td>-0.105846</td>\n",
       "      <td>0.046204</td>\n",
       "      <td>1.026446</td>\n",
       "      <td>1.020974</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>266</th>\n",
       "      <td>3</td>\n",
       "      <td>3907</td>\n",
       "      <td>22</td>\n",
       "      <td>atms</td>\n",
       "      <td>n21</td>\n",
       "      <td>254</td>\n",
       "      <td>63</td>\n",
       "      <td>-3.00</td>\n",
       "      <td>0.070019</td>\n",
       "      <td>-0.144378</td>\n",
       "      <td>0.047295</td>\n",
       "      <td>1.041924</td>\n",
       "      <td>1.031872</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>267 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     it  SN satinfo  nchan  type  sat  nobsused  nobstossed  varCH    biasBC  \\\n",
       "0     1        1610      1  atms  npp       217           1  -4.50 -1.402569   \n",
       "1     1        1611      2  atms  npp       218           0  -4.50 -0.817249   \n",
       "2     1        1612      3  atms  npp       217           1  -4.50  0.276434   \n",
       "3     1        1613      4  atms  npp       218           0  -2.50 -0.165406   \n",
       "4     1        1614      5  atms  npp       218           0  -0.55 -0.595235   \n",
       "..   ..         ...    ...   ...  ...       ...         ...    ...       ...   \n",
       "262   3        3903     18  atms  n21       255          62  -3.50 -0.503094   \n",
       "263   3        3904     19  atms  n21       255          62  -3.00 -0.311165   \n",
       "264   3        3905     20  atms  n21       251          66  -3.00 -0.134176   \n",
       "265   3        3906     21  atms  n21       258          59  -3.00  0.021668   \n",
       "266   3        3907     22  atms  n21       254          63  -3.00  0.070019   \n",
       "\n",
       "       biasAC  penaltyCH      sqrt       STD  \n",
       "0   -0.774128   0.045778  2.089933  1.941274  \n",
       "1   -0.468433   0.041136  2.057269  2.003229  \n",
       "2    0.137962   0.014767  1.025069  1.015742  \n",
       "3    0.178800   0.015918  0.657256  0.632468  \n",
       "4    0.207910   0.040750  0.398371  0.339813  \n",
       "..        ...        ...       ...       ...  \n",
       "262 -0.335560   0.031492  0.983781  0.924783  \n",
       "263 -0.375346   0.042613  0.986719  0.912540  \n",
       "264 -0.245382   0.042141  0.961962  0.930139  \n",
       "265 -0.105846   0.046204  1.026446  1.020974  \n",
       "266 -0.144378   0.047295  1.041924  1.031872  \n",
       "\n",
       "[267 rows x 13 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tidx = 0\n",
    "tab = 1\n",
    "Self[tidx][tab]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f80bbc3c-ffe8-451e-a288-da48e1d797a4",
   "metadata": {},
   "source": [
    "Exemplo Tabela C (`tab = 2`)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "0b27cda0-f471-49e3-9f61-b2350ee0ed7b",
   "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>it</th>\n",
       "      <th>sat</th>\n",
       "      <th>type</th>\n",
       "      <th>read</th>\n",
       "      <th>keep</th>\n",
       "      <th>assim</th>\n",
       "      <th>penalty</th>\n",
       "      <th>qcpnlty</th>\n",
       "      <th>cpen</th>\n",
       "      <th>qccpen</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>o-g 01 rad</td>\n",
       "      <td>metop-b</td>\n",
       "      <td>amsua</td>\n",
       "      <td>1412640</td>\n",
       "      <td>119494</td>\n",
       "      <td>55456</td>\n",
       "      <td>57717.0</td>\n",
       "      <td>57717.0</td>\n",
       "      <td>1.040800</td>\n",
       "      <td>1.040800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>o-g 01 rad</td>\n",
       "      <td>metop-c</td>\n",
       "      <td>amsua</td>\n",
       "      <td>698400</td>\n",
       "      <td>56648</td>\n",
       "      <td>28429</td>\n",
       "      <td>20147.0</td>\n",
       "      <td>20147.0</td>\n",
       "      <td>0.708670</td>\n",
       "      <td>0.708670</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>o-g 01 rad</td>\n",
       "      <td>npp</td>\n",
       "      <td>atms</td>\n",
       "      <td>623128</td>\n",
       "      <td>206333</td>\n",
       "      <td>79846</td>\n",
       "      <td>21918.0</td>\n",
       "      <td>21918.0</td>\n",
       "      <td>0.274500</td>\n",
       "      <td>0.274500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>o-g 01 rad</td>\n",
       "      <td>n20</td>\n",
       "      <td>atms</td>\n",
       "      <td>623370</td>\n",
       "      <td>199294</td>\n",
       "      <td>77590</td>\n",
       "      <td>20395.0</td>\n",
       "      <td>20395.0</td>\n",
       "      <td>0.262860</td>\n",
       "      <td>0.262860</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>o-g 01 rad</td>\n",
       "      <td>n21</td>\n",
       "      <td>atms</td>\n",
       "      <td>622336</td>\n",
       "      <td>196761</td>\n",
       "      <td>76882</td>\n",
       "      <td>21466.0</td>\n",
       "      <td>21466.0</td>\n",
       "      <td>0.279210</td>\n",
       "      <td>0.279210</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>o-g 02 rad</td>\n",
       "      <td>metop-b</td>\n",
       "      <td>amsua</td>\n",
       "      <td>1412640</td>\n",
       "      <td>119494</td>\n",
       "      <td>60798</td>\n",
       "      <td>25668.0</td>\n",
       "      <td>25668.0</td>\n",
       "      <td>0.422190</td>\n",
       "      <td>0.422190</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>o-g 02 rad</td>\n",
       "      <td>metop-c</td>\n",
       "      <td>amsua</td>\n",
       "      <td>698400</td>\n",
       "      <td>56648</td>\n",
       "      <td>30182</td>\n",
       "      <td>8689.9</td>\n",
       "      <td>8689.9</td>\n",
       "      <td>0.287920</td>\n",
       "      <td>0.287920</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>o-g 02 rad</td>\n",
       "      <td>npp</td>\n",
       "      <td>atms</td>\n",
       "      <td>623128</td>\n",
       "      <td>206333</td>\n",
       "      <td>84025</td>\n",
       "      <td>7668.7</td>\n",
       "      <td>7668.7</td>\n",
       "      <td>0.091267</td>\n",
       "      <td>0.091267</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>o-g 02 rad</td>\n",
       "      <td>n20</td>\n",
       "      <td>atms</td>\n",
       "      <td>623370</td>\n",
       "      <td>199294</td>\n",
       "      <td>81232</td>\n",
       "      <td>6458.4</td>\n",
       "      <td>6458.4</td>\n",
       "      <td>0.079505</td>\n",
       "      <td>0.079505</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>o-g 02 rad</td>\n",
       "      <td>n21</td>\n",
       "      <td>atms</td>\n",
       "      <td>622336</td>\n",
       "      <td>196761</td>\n",
       "      <td>80304</td>\n",
       "      <td>6582.7</td>\n",
       "      <td>6582.7</td>\n",
       "      <td>0.081973</td>\n",
       "      <td>0.081973</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>o-g 03 rad</td>\n",
       "      <td>metop-b</td>\n",
       "      <td>amsua</td>\n",
       "      <td>1412640</td>\n",
       "      <td>119494</td>\n",
       "      <td>61798</td>\n",
       "      <td>20760.0</td>\n",
       "      <td>20760.0</td>\n",
       "      <td>0.335930</td>\n",
       "      <td>0.335930</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>o-g 03 rad</td>\n",
       "      <td>metop-c</td>\n",
       "      <td>amsua</td>\n",
       "      <td>698400</td>\n",
       "      <td>56648</td>\n",
       "      <td>30549</td>\n",
       "      <td>7304.9</td>\n",
       "      <td>7304.9</td>\n",
       "      <td>0.239120</td>\n",
       "      <td>0.239120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>o-g 03 rad</td>\n",
       "      <td>npp</td>\n",
       "      <td>atms</td>\n",
       "      <td>623128</td>\n",
       "      <td>206333</td>\n",
       "      <td>84247</td>\n",
       "      <td>6299.8</td>\n",
       "      <td>6299.8</td>\n",
       "      <td>0.074778</td>\n",
       "      <td>0.074778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>o-g 03 rad</td>\n",
       "      <td>n20</td>\n",
       "      <td>atms</td>\n",
       "      <td>623370</td>\n",
       "      <td>199294</td>\n",
       "      <td>81436</td>\n",
       "      <td>5439.6</td>\n",
       "      <td>5439.6</td>\n",
       "      <td>0.066796</td>\n",
       "      <td>0.066796</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>o-g 03 rad</td>\n",
       "      <td>n21</td>\n",
       "      <td>atms</td>\n",
       "      <td>622336</td>\n",
       "      <td>196761</td>\n",
       "      <td>80403</td>\n",
       "      <td>5377.3</td>\n",
       "      <td>5377.3</td>\n",
       "      <td>0.066879</td>\n",
       "      <td>0.066879</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            it      sat   type     read    keep  assim  penalty  qcpnlty  \\\n",
       "0   o-g 01 rad  metop-b  amsua  1412640  119494  55456  57717.0  57717.0   \n",
       "1   o-g 01 rad  metop-c  amsua   698400   56648  28429  20147.0  20147.0   \n",
       "2   o-g 01 rad      npp   atms   623128  206333  79846  21918.0  21918.0   \n",
       "3   o-g 01 rad      n20   atms   623370  199294  77590  20395.0  20395.0   \n",
       "4   o-g 01 rad      n21   atms   622336  196761  76882  21466.0  21466.0   \n",
       "5   o-g 02 rad  metop-b  amsua  1412640  119494  60798  25668.0  25668.0   \n",
       "6   o-g 02 rad  metop-c  amsua   698400   56648  30182   8689.9   8689.9   \n",
       "7   o-g 02 rad      npp   atms   623128  206333  84025   7668.7   7668.7   \n",
       "8   o-g 02 rad      n20   atms   623370  199294  81232   6458.4   6458.4   \n",
       "9   o-g 02 rad      n21   atms   622336  196761  80304   6582.7   6582.7   \n",
       "10  o-g 03 rad  metop-b  amsua  1412640  119494  61798  20760.0  20760.0   \n",
       "11  o-g 03 rad  metop-c  amsua   698400   56648  30549   7304.9   7304.9   \n",
       "12  o-g 03 rad      npp   atms   623128  206333  84247   6299.8   6299.8   \n",
       "13  o-g 03 rad      n20   atms   623370  199294  81436   5439.6   5439.6   \n",
       "14  o-g 03 rad      n21   atms   622336  196761  80403   5377.3   5377.3   \n",
       "\n",
       "        cpen    qccpen  \n",
       "0   1.040800  1.040800  \n",
       "1   0.708670  0.708670  \n",
       "2   0.274500  0.274500  \n",
       "3   0.262860  0.262860  \n",
       "4   0.279210  0.279210  \n",
       "5   0.422190  0.422190  \n",
       "6   0.287920  0.287920  \n",
       "7   0.091267  0.091267  \n",
       "8   0.079505  0.079505  \n",
       "9   0.081973  0.081973  \n",
       "10  0.335930  0.335930  \n",
       "11  0.239120  0.239120  \n",
       "12  0.074778  0.074778  \n",
       "13  0.066796  0.066796  \n",
       "14  0.066879  0.066879  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tidx = 0\n",
    "tab = 2\n",
    "Self[tidx][tab]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "66573a2b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1412640"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "idx = pd.IndexSlice\n",
    "tab = 2\n",
    "tidx = 0\n",
    "df = Self[tidx][tab].loc[idx[0:4], idx['sat':'assim']]\n",
    "df1 = df.query(\"sat == 'metop-b'\")\n",
    "df1['read'].values[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "0d95a194",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['2026090100', '2026090106', '2026090112', '2026090118', '2026090200', '2026090206', '2026090212', '2026090218', '2026090300', '2026090306', '2026090312', '2026090318', '2026090400', '2026090406', '2026090412', '2026090418', '2026090500', '2026090506', '2026090512', '2026090518', '2026090600', '2026090606', '2026090612', '2026090618', '2026090700', '2026090706', '2026090712', '2026090718', '2026090800', '2026090806', '2026090812', '2026090818', '2026090900', '2026090906', '2026090912', '2026090918', '2026091000', '2026091006', '2026091012', '2026091018', '2026091100', '2026091106', '2026091112', '2026091118', '2026091200', '2026091206', '2026091212', '2026091218', '2026091300', '2026091306', '2026091312', '2026091318', '2026091400', '2026091406', '2026091412', '2026091418', '2026091500', '2026091506', '2026091512', '2026091518', '2026091600', '2026091606', '2026091612', '2026091618', '2026091700', '2026091706', '2026091712', '2026091718']\n",
      "\n",
      "\n",
      ">>>> Leitura: fort_207_read <<<<\n",
      "\n",
      "DIRdiag =  /mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout\n",
      "\n",
      "TABLE A: Names columns A =  ['it', 'sat', 'type', 'penalty', 'nobs', 'iland', 'isnoice', 'icoast', 'ireduce', 'ivarl', 'nlgross', 'qcpenalty', 'qc1', 'qc2', 'qc3', 'qc4', 'qc5', 'qc6', 'qc7']\n",
      "\n",
      "TABLE B: Names columns B =  ['it', 'SN satinfo', 'nchan', 'type', 'sat', 'nobsused', 'nobstossed', 'varCH', 'biasBC', 'biasAC', 'penaltyCH', 'sqrt', 'STD']\n",
      "\n",
      "TABLE C: Names columns C =  ['it', 'sat', 'type', 'read', 'keep', 'assim', 'penalty', 'qcpnlty', 'cpen', 'qccpen']\n",
      "\n",
      "['/mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090100/fort.207', '/mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090106/fort.207', '/mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090112/fort.207', '/mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090118/fort.207', '/mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090200/fort.207', '/mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090206/fort.207', '/mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090212/fort.207', '/mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090218/fort.207', '/mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090300/fort.207', '/mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090306/fort.207', '/mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090312/fort.207', '/mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090318/fort.207', '/mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090400/fort.207', '/mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090406/fort.207', '/mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090412/fort.207', '/mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090418/fort.207', '/mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090500/fort.207', '/mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090506/fort.207', '/mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090512/fort.207', '/mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090518/fort.207', '/mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090600/fort.207', '/mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090606/fort.207', '/mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090612/fort.207', '/mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090618/fort.207', '/mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090700/fort.207', '/mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090706/fort.207', '/mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090712/fort.207', '/mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090718/fort.207', '/mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090800/fort.207', '/mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090806/fort.207', '/mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090812/fort.207', '/mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090818/fort.207', '/mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090900/fort.207', '/mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090906/fort.207', '/mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090912/fort.207', '/mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090918/fort.207', '/mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091000/fort.207', '/mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091006/fort.207', '/mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091012/fort.207', '/mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091018/fort.207', '/mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091100/fort.207', '/mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091106/fort.207', '/mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091112/fort.207', '/mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091118/fort.207', '/mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091200/fort.207', '/mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091206/fort.207', '/mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091212/fort.207', '/mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091218/fort.207', '/mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091300/fort.207', '/mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091306/fort.207', '/mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091312/fort.207', '/mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091318/fort.207', '/mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091400/fort.207', '/mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091406/fort.207', '/mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091412/fort.207', '/mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091418/fort.207', '/mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091500/fort.207', '/mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091506/fort.207', '/mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091512/fort.207', '/mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091518/fort.207', '/mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091600/fort.207', '/mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091606/fort.207', '/mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091612/fort.207', '/mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091618/fort.207', '/mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091700/fort.207', '/mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091706/fort.207', '/mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091712/fort.207', '/mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091718/fort.207']\n",
      "\n",
      "Reading /mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090100/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-01:00\n",
      "\n",
      "Nº total de linhas = 9113\n",
      "nl final = 9113\n",
      "\n",
      "Reading /mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090106/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-01:06\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Nº total de linhas = 9113\n",
      "nl final = 9113\n",
      "\n",
      "Reading /mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090112/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-01:12\n",
      "\n",
      "Nº total de linhas = 9113\n",
      "nl final = 9113\n",
      "\n",
      "Reading /mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090118/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-01:18\n",
      "\n",
      "Nº total de linhas = 9095\n",
      "nl final = 9095\n",
      "\n",
      "Reading /mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090200/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-02:00\n",
      "\n",
      "Nº total de linhas = 9113\n",
      "nl final = 9113\n",
      "\n",
      "Reading /mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090206/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-02:06\n",
      "\n",
      "Nº total de linhas = 9095\n",
      "nl final = 9095\n",
      "\n",
      "Reading /mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090212/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-02:12\n",
      "\n",
      "Nº total de linhas = 9113\n",
      "nl final = 9113\n",
      "\n",
      "Reading /mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090218/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-02:18\n",
      "\n",
      "Nº total de linhas = 9095\n",
      "nl final = 9095\n",
      "\n",
      "Reading /mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090300/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-03:00\n",
      "\n",
      "Nº total de linhas = 9113\n",
      "nl final = 9113\n",
      "\n",
      "Reading /mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090306/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-03:06\n",
      "\n",
      "Nº total de linhas = 9092\n",
      "nl final = 9092\n",
      "\n",
      "Reading /mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090312/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-03:12\n",
      "\n",
      "Nº total de linhas = 9074\n",
      "nl final = 9074\n",
      "\n",
      "Reading /mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090318/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-03:18\n",
      "\n",
      "Nº total de linhas = 9007\n",
      "nl final = 9007\n",
      "\n",
      "Reading /mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090400/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-04:00\n",
      "\n",
      "Nº total de linhas = 8861\n",
      "nl final = 8861\n",
      "\n",
      "Reading /mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090406/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-04:06\n",
      "\n",
      "Nº total de linhas = 9023\n",
      "nl final = 9023\n",
      "\n",
      "Reading /mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090412/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-04:12\n",
      "\n",
      "Nº total de linhas = 8906\n",
      "nl final = 8906\n",
      "\n",
      "Reading /mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090418/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-04:18\n",
      "\n",
      "Nº total de linhas = 9021\n",
      "nl final = 9021\n",
      "\n",
      "Reading /mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090500/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-05:00\n",
      "\n",
      "Nº total de linhas = 9113\n",
      "nl final = 9113\n",
      "\n",
      "Reading /mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090506/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-05:06\n",
      "\n",
      "Nº total de linhas = 9113\n",
      "nl final = 9113\n",
      "\n",
      "Reading /mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090512/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-05:12\n",
      "\n",
      "Nº total de linhas = 9113\n",
      "nl final = 9113\n",
      "\n",
      "Reading /mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090518/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-05:18\n",
      "\n",
      "Nº total de linhas = 9095\n",
      "nl final = 9095\n",
      "\n",
      "Reading /mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090600/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-06:00\n",
      "\n",
      "Nº total de linhas = 9113\n",
      "nl final = 9113\n",
      "\n",
      "Reading /mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090606/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-06:06\n",
      "\n",
      "Nº total de linhas = 9095\n",
      "nl final = 9095\n",
      "\n",
      "Reading /mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090612/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-06:12\n",
      "\n",
      "Nº total de linhas = 9113\n",
      "nl final = 9113\n",
      "\n",
      "Reading /mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090618/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-06:18\n",
      "\n",
      "Nº total de linhas = 9101\n",
      "nl final = 9101\n",
      "\n",
      "Reading /mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090700/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-07:00\n",
      "\n",
      "Nº total de linhas = 9113\n",
      "nl final = 9113\n",
      "\n",
      "Reading /mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090706/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-07:06\n",
      "\n",
      "Nº total de linhas = 9113\n",
      "nl final = 9113\n",
      "\n",
      "Reading /mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090712/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-07:12\n",
      "\n",
      "Nº total de linhas = 8990\n",
      "nl final = 8990\n",
      "\n",
      "Reading /mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090718/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-07:18\n",
      "\n",
      "Nº total de linhas = 9089\n",
      "nl final = 9089\n",
      "\n",
      "Reading /mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090800/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-08:00\n",
      "\n",
      "Nº total de linhas = 8903\n",
      "nl final = 8903\n",
      "\n",
      "Reading /mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090806/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-08:06\n",
      "\n",
      "Nº total de linhas = 9095\n",
      "nl final = 9095\n",
      "\n",
      "Reading /mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090812/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-08:12\n",
      "\n",
      "Nº total de linhas = 9113\n",
      "nl final = 9113\n",
      "\n",
      "Reading /mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090818/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-08:18\n",
      "\n",
      "Nº total de linhas = 9027\n",
      "nl final = 9027\n",
      "\n",
      "Reading /mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090900/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-09:00\n",
      "\n",
      "Nº total de linhas = 9113\n",
      "nl final = 9113\n",
      "\n",
      "Reading /mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090906/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-09:06\n",
      "\n",
      "Nº total de linhas = 9113\n",
      "nl final = 9113\n",
      "\n",
      "Reading /mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090912/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-09:12\n",
      "\n",
      "Nº total de linhas = 9113\n",
      "nl final = 9113\n",
      "\n",
      "Reading /mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090918/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-09:18\n",
      "\n",
      "Nº total de linhas = 9095\n",
      "nl final = 9095\n",
      "\n",
      "Reading /mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091000/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-10:00\n",
      "\n",
      "Nº total de linhas = 8906\n",
      "nl final = 8906\n",
      "\n",
      "Reading /mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091006/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-10:06\n",
      "\n",
      "Nº total de linhas = 9113\n",
      "nl final = 9113\n",
      "\n",
      "Reading /mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091012/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-10:12\n",
      "\n",
      "Nº total de linhas = 9113\n",
      "nl final = 9113\n",
      "\n",
      "Reading /mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091018/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-10:18\n",
      "\n",
      "Nº total de linhas = 9095\n",
      "nl final = 9095\n",
      "\n",
      "Reading /mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091100/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-11:00\n",
      "\n",
      "Nº total de linhas = 9113\n",
      "nl final = 9113\n",
      "\n",
      "Reading /mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091106/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-11:06\n",
      "\n",
      "Nº total de linhas = 9095\n",
      "nl final = 9095\n",
      "\n",
      "Reading /mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091112/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-11:12\n",
      "\n",
      "Nº total de linhas = 9113\n",
      "nl final = 9113\n",
      "\n",
      "Reading /mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091118/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-11:18\n",
      "\n",
      "Nº total de linhas = 9092\n",
      "nl final = 9092\n",
      "\n",
      "Reading /mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091200/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-12:00\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Nº total de linhas = 9113\n",
      "nl final = 9113\n",
      "\n",
      "Reading /mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091206/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-12:06\n",
      "\n",
      "Nº total de linhas = 9095\n",
      "nl final = 9095\n",
      "\n",
      "Reading /mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091212/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-12:12\n",
      "\n",
      "Nº total de linhas = 9113\n",
      "nl final = 9113\n",
      "\n",
      "Reading /mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091218/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-12:18\n",
      "\n",
      "Nº total de linhas = 9107\n",
      "nl final = 9107\n",
      "\n",
      "Reading /mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091300/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-13:00\n",
      "\n",
      "Nº total de linhas = 8985\n",
      "nl final = 8985\n",
      "\n",
      "Reading /mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091306/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-13:06\n",
      "\n",
      "Nº total de linhas = 9095\n",
      "nl final = 9095\n",
      "\n",
      "Reading /mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091312/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-13:12\n",
      "\n",
      "Nº total de linhas = 8985\n",
      "nl final = 8985\n",
      "\n",
      "Reading /mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091318/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-13:18\n",
      "\n",
      "Nº total de linhas = 9092\n",
      "nl final = 9092\n",
      "\n",
      "Reading /mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091400/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-14:00\n",
      "\n",
      "Nº total de linhas = 8990\n",
      "nl final = 8990\n",
      "\n",
      "Reading /mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091406/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-14:06\n",
      "\n",
      "Nº total de linhas = 9091\n",
      "nl final = 9091\n",
      "\n",
      "Reading /mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091412/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-14:12\n",
      "\n",
      "Nº total de linhas = 9113\n",
      "nl final = 9113\n",
      "\n",
      "Reading /mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091418/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-14:18\n",
      "\n",
      "Nº total de linhas = 9095\n",
      "nl final = 9095\n",
      "\n",
      "Reading /mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091500/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-15:00\n",
      "\n",
      "Nº total de linhas = 9113\n",
      "nl final = 9113\n",
      "\n",
      "Reading /mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091506/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-15:06\n",
      "\n",
      "Nº total de linhas = 9112\n",
      "nl final = 9112\n",
      "\n",
      "Reading /mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091512/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-15:12\n",
      "\n",
      "Nº total de linhas = 9113\n",
      "nl final = 9113\n",
      "\n",
      "Reading /mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091518/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-15:18\n",
      "\n",
      "Nº total de linhas = 9055\n",
      "nl final = 9055\n",
      "\n",
      "Reading /mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091600/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-16:00\n",
      "\n",
      "Nº total de linhas = 8945\n",
      "nl final = 8945\n",
      "\n",
      "Reading /mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091606/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-16:06\n",
      "\n",
      "Nº total de linhas = 9095\n",
      "nl final = 9095\n",
      "\n",
      "Reading /mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091612/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-16:12\n",
      "\n",
      "Nº total de linhas = 9113\n",
      "nl final = 9113\n",
      "\n",
      "Reading /mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091618/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-16:18\n",
      "\n",
      "Nº total de linhas = 9107\n",
      "nl final = 9107\n",
      "\n",
      "Reading /mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091700/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-17:00\n",
      "\n",
      "Nº total de linhas = 9113\n",
      "nl final = 9113\n",
      "\n",
      "Reading /mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091706/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-17:06\n",
      "\n",
      "Nº total de linhas = 9101\n",
      "nl final = 9101\n",
      "\n",
      "Reading /mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091712/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-17:12\n",
      "\n",
      "Nº total de linhas = 9113\n",
      "nl final = 9113\n",
      "\n",
      "Reading /mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091718/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-17:18\n",
      "\n",
      "Nº total de linhas = 9094\n",
      "nl final = 9094\n",
      "\n"
     ]
    }
   ],
   "source": [
    "import gsidiag as gd\n",
    "\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from datetime import datetime, timedelta\n",
    "from gsidiag.datasources import getVarInfo # NEW !!!!\n",
    "\n",
    "%matplotlib inline\n",
    "\n",
    "# DIRdiag = '/pesq/share/das/dist/luiz.sapucci/SMNAfluxCPT/gsi_dataout'\n",
    "DIRdiag = '/mnt/beegfs/luiz.sapucci/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout'\n",
    "EXP19 = True\n",
    "EXP20 = False\n",
    "EXP21 = False   \n",
    "\n",
    "dateIni = '2026090100' \n",
    "dateFin = '2026091718' \n",
    "nHour = '06' \n",
    "\n",
    "datei = datetime.strptime(str(dateIni), '%Y%m%d%H')\n",
    "datef = datetime.strptime(str(dateFin), '%Y%m%d%H')\n",
    "dates = [dates.strftime('%Y%m%d%H') for dates in pd.date_range(datei, datef,freq='6H').tolist()]\n",
    "\n",
    "print(dates)\n",
    "print('')\n",
    "\n",
    "print('')\n",
    "print('>>>> Leitura: fort_207_read <<<<')\n",
    "print('')\n",
    "Self = None\n",
    "Self = gd.read_diag.fort_207_read(DIRdiag, dates)\n",
    "\n",
    "idx = pd.IndexSlice\n",
    "\n",
    "List_dados = {}\n",
    "aux1, aux2, aux3, aux4, aux5 = [], [], [], [], []\n",
    "\n",
    "List_dados = {'Data': dates}\n",
    "param = 'read'\n",
    "\n",
    "tab = 2\n",
    "tidx = 0\n",
    "for data in dates:\n",
    "    \n",
    "    df = Self[tidx][tab].loc[idx[0:4], idx['sat':'assim']]\n",
    "    \n",
    "    df1 = df.query(\"sat == 'metop-b'\")\n",
    "    df2 = df.query(\"sat == 'metop-c'\")\n",
    "    df3 = df.query(\"sat == 'npp'\")\n",
    "    df4 = df.query(\"sat == 'n20'\")\n",
    "    df5 = df.query(\"sat == 'n21'\")\n",
    "    \n",
    "    quantidade1 = df1[param].values[0]\n",
    "    quantidade2 = df2[param].values[0]\n",
    "    quantidade3 = df3[param].values[0]\n",
    "    quantidade4 = df4[param].values[0]\n",
    "    quantidade5 = df5[param].values[0]\n",
    "    \n",
    "    aux1.append(quantidade1)\n",
    "    aux2.append(quantidade2)\n",
    "    aux3.append(quantidade3)\n",
    "    aux4.append(quantidade4)\n",
    "    aux5.append(quantidade5)\n",
    "    \n",
    "    tidx = tidx + 1\n",
    "    \n",
    "    \n",
    "List_dados['metop-b'] = aux1\n",
    "List_dados['metop-c'] = aux2\n",
    "List_dados['npp'] = aux3\n",
    "List_dados['n20'] = aux4\n",
    "List_dados['n21'] = aux5\n",
    "\n",
    "DF_final1 = pd.DataFrame(List_dados).set_index('Data')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "2175b576",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['2026090100', '2026090106', '2026090112', '2026090118', '2026090200', '2026090206', '2026090212', '2026090218', '2026090300', '2026090306', '2026090312', '2026090318', '2026090400', '2026090406', '2026090412', '2026090418', '2026090500', '2026090506', '2026090512', '2026090518', '2026090600', '2026090606', '2026090612', '2026090618', '2026090700', '2026090706', '2026090712', '2026090718', '2026090800', '2026090806', '2026090812', '2026090818', '2026090900', '2026090906', '2026090912', '2026090918', '2026091000', '2026091006', '2026091012', '2026091018', '2026091100', '2026091106', '2026091112', '2026091118', '2026091200', '2026091206', '2026091212', '2026091218', '2026091300', '2026091306', '2026091312', '2026091318', '2026091400', '2026091406', '2026091412', '2026091418', '2026091500', '2026091506', '2026091512', '2026091518', '2026091600', '2026091606', '2026091612', '2026091618', '2026091700', '2026091706', '2026091712', '2026091718']\n",
      "\n",
      "\n",
      ">>>> Leitura: fort_207_read <<<<\n",
      "\n",
      "DIRdiag =  /mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout\n",
      "\n",
      "TABLE A: Names columns A =  ['it', 'sat', 'type', 'penalty', 'nobs', 'iland', 'isnoice', 'icoast', 'ireduce', 'ivarl', 'nlgross', 'qcpenalty', 'qc1', 'qc2', 'qc3', 'qc4', 'qc5', 'qc6', 'qc7']\n",
      "\n",
      "TABLE B: Names columns B =  ['it', 'SN satinfo', 'nchan', 'type', 'sat', 'nobsused', 'nobstossed', 'varCH', 'biasBC', 'biasAC', 'penaltyCH', 'sqrt', 'STD']\n",
      "\n",
      "TABLE C: Names columns C =  ['it', 'sat', 'type', 'read', 'keep', 'assim', 'penalty', 'qcpnlty', 'cpen', 'qccpen']\n",
      "\n",
      "['/mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090100/fort.207', '/mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090106/fort.207', '/mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090112/fort.207', '/mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090118/fort.207', '/mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090200/fort.207', '/mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090206/fort.207', '/mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090212/fort.207', '/mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090218/fort.207', '/mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090300/fort.207', '/mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090306/fort.207', '/mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090312/fort.207', '/mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090318/fort.207', '/mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090400/fort.207', '/mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090406/fort.207', '/mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090412/fort.207', '/mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090418/fort.207', '/mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090500/fort.207', '/mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090506/fort.207', '/mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090512/fort.207', '/mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090518/fort.207', '/mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090600/fort.207', '/mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090606/fort.207', '/mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090612/fort.207', '/mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090618/fort.207', '/mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090700/fort.207', '/mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090706/fort.207', '/mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090712/fort.207', '/mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090718/fort.207', '/mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090800/fort.207', '/mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090806/fort.207', '/mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090812/fort.207', '/mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090818/fort.207', '/mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090900/fort.207', '/mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090906/fort.207', '/mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090912/fort.207', '/mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090918/fort.207', '/mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091000/fort.207', '/mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091006/fort.207', '/mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091012/fort.207', '/mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091018/fort.207', '/mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091100/fort.207', '/mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091106/fort.207', '/mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091112/fort.207', '/mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091118/fort.207', '/mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091200/fort.207', '/mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091206/fort.207', '/mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091212/fort.207', '/mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091218/fort.207', '/mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091300/fort.207', '/mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091306/fort.207', '/mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091312/fort.207', '/mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091318/fort.207', '/mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091400/fort.207', '/mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091406/fort.207', '/mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091412/fort.207', '/mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091418/fort.207', '/mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091500/fort.207', '/mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091506/fort.207', '/mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091512/fort.207', '/mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091518/fort.207', '/mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091600/fort.207', '/mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091606/fort.207', '/mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091612/fort.207', '/mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091618/fort.207', '/mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091700/fort.207', '/mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091706/fort.207', '/mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091712/fort.207', '/mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091718/fort.207']\n",
      "\n",
      "Reading /mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090100/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-01:00\n",
      "\n",
      "Nº total de linhas = 9092\n",
      "nl final = 9092\n",
      "\n",
      "Reading /mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090106/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-01:06\n",
      "\n",
      "Nº total de linhas = 9092\n",
      "nl final = 9092\n",
      "\n",
      "Reading /mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090112/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-01:12\n",
      "\n",
      "Nº total de linhas = 9092\n",
      "nl final = 9092\n",
      "\n",
      "Reading /mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090118/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-01:18\n",
      "\n",
      "Nº total de linhas = 9092\n",
      "nl final = 9092\n",
      "\n",
      "Reading /mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090200/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-02:00\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Nº total de linhas = 9092\n",
      "nl final = 9092\n",
      "\n",
      "Reading /mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090206/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-02:06\n",
      "\n",
      "Nº total de linhas = 9092\n",
      "nl final = 9092\n",
      "\n",
      "Reading /mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090212/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-02:12\n",
      "\n",
      "Nº total de linhas = 9092\n",
      "nl final = 9092\n",
      "\n",
      "Reading /mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090218/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-02:18\n",
      "\n",
      "Nº total de linhas = 9092\n",
      "nl final = 9092\n",
      "\n",
      "Reading /mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090300/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-03:00\n",
      "\n",
      "Nº total de linhas = 9092\n",
      "nl final = 9092\n",
      "\n",
      "Reading /mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090306/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-03:06\n",
      "\n",
      "Nº total de linhas = 9092\n",
      "nl final = 9092\n",
      "\n",
      "Reading /mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090312/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-03:12\n",
      "\n",
      "Nº total de linhas = 9092\n",
      "nl final = 9092\n",
      "\n",
      "Reading /mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090318/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-03:18\n",
      "\n",
      "Nº total de linhas = 9092\n",
      "nl final = 9092\n",
      "\n",
      "Reading /mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090400/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-04:00\n",
      "\n",
      "Nº total de linhas = 9092\n",
      "nl final = 9092\n",
      "\n",
      "Reading /mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090406/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-04:06\n",
      "\n",
      "Nº total de linhas = 9092\n",
      "nl final = 9092\n",
      "\n",
      "Reading /mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090412/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-04:12\n",
      "\n",
      "Nº total de linhas = 9092\n",
      "nl final = 9092\n",
      "\n",
      "Reading /mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090418/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-04:18\n",
      "\n",
      "Nº total de linhas = 9092\n",
      "nl final = 9092\n",
      "\n",
      "Reading /mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090500/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-05:00\n",
      "\n",
      "Nº total de linhas = 9092\n",
      "nl final = 9092\n",
      "\n",
      "Reading /mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090506/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-05:06\n",
      "\n",
      "Nº total de linhas = 9092\n",
      "nl final = 9092\n",
      "\n",
      "Reading /mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090512/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-05:12\n",
      "\n",
      "Nº total de linhas = 9092\n",
      "nl final = 9092\n",
      "\n",
      "Reading /mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090518/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-05:18\n",
      "\n",
      "Nº total de linhas = 9092\n",
      "nl final = 9092\n",
      "\n",
      "Reading /mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090600/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-06:00\n",
      "\n",
      "Nº total de linhas = 9092\n",
      "nl final = 9092\n",
      "\n",
      "Reading /mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090606/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-06:06\n",
      "\n",
      "Nº total de linhas = 9092\n",
      "nl final = 9092\n",
      "\n",
      "Reading /mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090612/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-06:12\n",
      "\n",
      "Nº total de linhas = 9092\n",
      "nl final = 9092\n",
      "\n",
      "Reading /mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090618/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-06:18\n",
      "\n",
      "Nº total de linhas = 9092\n",
      "nl final = 9092\n",
      "\n",
      "Reading /mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090700/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-07:00\n",
      "\n",
      "Nº total de linhas = 9092\n",
      "nl final = 9092\n",
      "\n",
      "Reading /mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090706/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-07:06\n",
      "\n",
      "Nº total de linhas = 9092\n",
      "nl final = 9092\n",
      "\n",
      "Reading /mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090712/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-07:12\n",
      "\n",
      "Nº total de linhas = 9092\n",
      "nl final = 9092\n",
      "\n",
      "Reading /mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090718/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-07:18\n",
      "\n",
      "Nº total de linhas = 9092\n",
      "nl final = 9092\n",
      "\n",
      "Reading /mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090800/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-08:00\n",
      "\n",
      "Nº total de linhas = 9092\n",
      "nl final = 9092\n",
      "\n",
      "Reading /mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090806/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-08:06\n",
      "\n",
      "Nº total de linhas = 9092\n",
      "nl final = 9092\n",
      "\n",
      "Reading /mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090812/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-08:12\n",
      "\n",
      "Nº total de linhas = 9092\n",
      "nl final = 9092\n",
      "\n",
      "Reading /mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090818/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-08:18\n",
      "\n",
      "Nº total de linhas = 9092\n",
      "nl final = 9092\n",
      "\n",
      "Reading /mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090900/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-09:00\n",
      "\n",
      "Nº total de linhas = 9092\n",
      "nl final = 9092\n",
      "\n",
      "Reading /mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090906/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-09:06\n",
      "\n",
      "Nº total de linhas = 9092\n",
      "nl final = 9092\n",
      "\n",
      "Reading /mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090912/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-09:12\n",
      "\n",
      "Nº total de linhas = 9092\n",
      "nl final = 9092\n",
      "\n",
      "Reading /mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026090918/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-09:18\n",
      "\n",
      "Nº total de linhas = 9092\n",
      "nl final = 9092\n",
      "\n",
      "Reading /mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091000/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-10:00\n",
      "\n",
      "Nº total de linhas = 9092\n",
      "nl final = 9092\n",
      "\n",
      "Reading /mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091006/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-10:06\n",
      "\n",
      "Nº total de linhas = 9092\n",
      "nl final = 9092\n",
      "\n",
      "Reading /mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091012/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-10:12\n",
      "\n",
      "Nº total de linhas = 9092\n",
      "nl final = 9092\n",
      "\n",
      "Reading /mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091018/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-10:18\n",
      "\n",
      "Nº total de linhas = 9092\n",
      "nl final = 9092\n",
      "\n",
      "Reading /mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091100/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-11:00\n",
      "\n",
      "Nº total de linhas = 9092\n",
      "nl final = 9092\n",
      "\n",
      "Reading /mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091106/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-11:06\n",
      "\n",
      "Nº total de linhas = 9092\n",
      "nl final = 9092\n",
      "\n",
      "Reading /mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091112/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-11:12\n",
      "\n",
      "Nº total de linhas = 9092\n",
      "nl final = 9092\n",
      "\n",
      "Reading /mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091118/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-11:18\n",
      "\n",
      "Nº total de linhas = 9092\n",
      "nl final = 9092\n",
      "\n",
      "Reading /mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091200/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-12:00\n",
      "\n",
      "Nº total de linhas = 9092\n",
      "nl final = 9092\n",
      "\n",
      "Reading /mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091206/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-12:06\n",
      "\n",
      "Nº total de linhas = 9092\n",
      "nl final = 9092\n",
      "\n",
      "Reading /mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091212/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-12:12\n",
      "\n",
      "Nº total de linhas = 9092\n",
      "nl final = 9092\n",
      "\n",
      "Reading /mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091218/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-12:18\n",
      "\n",
      "Nº total de linhas = 9092\n",
      "nl final = 9092\n",
      "\n",
      "Reading /mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091300/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-13:00\n",
      "\n",
      "Nº total de linhas = 9092\n",
      "nl final = 9092\n",
      "\n",
      "Reading /mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091306/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-13:06\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Nº total de linhas = 9092\n",
      "nl final = 9092\n",
      "\n",
      "Reading /mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091312/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-13:12\n",
      "\n",
      "Nº total de linhas = 9092\n",
      "nl final = 9092\n",
      "\n",
      "Reading /mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091318/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-13:18\n",
      "\n",
      "Nº total de linhas = 9092\n",
      "nl final = 9092\n",
      "\n",
      "Reading /mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091400/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-14:00\n",
      "\n",
      "Nº total de linhas = 9092\n",
      "nl final = 9092\n",
      "\n",
      "Reading /mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091406/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-14:06\n",
      "\n",
      "Nº total de linhas = 9092\n",
      "nl final = 9092\n",
      "\n",
      "Reading /mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091412/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-14:12\n",
      "\n",
      "Nº total de linhas = 9092\n",
      "nl final = 9092\n",
      "\n",
      "Reading /mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091418/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-14:18\n",
      "\n",
      "Nº total de linhas = 9092\n",
      "nl final = 9092\n",
      "\n",
      "Reading /mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091500/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-15:00\n",
      "\n",
      "Nº total de linhas = 9092\n",
      "nl final = 9092\n",
      "\n",
      "Reading /mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091506/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-15:06\n",
      "\n",
      "Nº total de linhas = 9092\n",
      "nl final = 9092\n",
      "\n",
      "Reading /mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091512/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-15:12\n",
      "\n",
      "Nº total de linhas = 9092\n",
      "nl final = 9092\n",
      "\n",
      "Reading /mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091518/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-15:18\n",
      "\n",
      "Nº total de linhas = 9092\n",
      "nl final = 9092\n",
      "\n",
      "Reading /mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091600/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-16:00\n",
      "\n",
      "Nº total de linhas = 9092\n",
      "nl final = 9092\n",
      "\n",
      "Reading /mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091606/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-16:06\n",
      "\n",
      "Nº total de linhas = 9092\n",
      "nl final = 9092\n",
      "\n",
      "Reading /mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091612/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-16:12\n",
      "\n",
      "Nº total de linhas = 9092\n",
      "nl final = 9092\n",
      "\n",
      "Reading /mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091618/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-16:18\n",
      "\n",
      "Nº total de linhas = 9092\n",
      "nl final = 9092\n",
      "\n",
      "Reading /mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091700/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-17:00\n",
      "\n",
      "Nº total de linhas = 9092\n",
      "nl final = 9092\n",
      "\n",
      "Reading /mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091706/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-17:06\n",
      "\n",
      "Nº total de linhas = 9092\n",
      "nl final = 9092\n",
      "\n",
      "Reading /mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091712/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-17:12\n",
      "\n",
      "Nº total de linhas = 9092\n",
      "nl final = 9092\n",
      "\n",
      "Reading /mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout/2026091718/fort.207\n",
      "\n",
      " Preparing data for: fort.207 ---> 2026-09-17:18\n",
      "\n",
      "Nº total de linhas = 9092\n",
      "nl final = 9092\n",
      "\n"
     ]
    }
   ],
   "source": [
    "DIRdiag = '/mnt/beegfs/ioper/SMNA_v3.0.0.t12717/SMG/datainout/gsi/dataout'\n",
    "EXP19 = True\n",
    "EXP20 = False\n",
    "EXP21 = False   \n",
    "\n",
    "dateIni = '2026090100' \n",
    "dateFin = '2026091718' \n",
    "nHour = '06' \n",
    "\n",
    "datei = datetime.strptime(str(dateIni), '%Y%m%d%H')\n",
    "datef = datetime.strptime(str(dateFin), '%Y%m%d%H')\n",
    "dates = [dates.strftime('%Y%m%d%H') for dates in pd.date_range(datei, datef,freq='6H').tolist()]\n",
    "\n",
    "print(dates)\n",
    "print('')\n",
    "\n",
    "print('')\n",
    "print('>>>> Leitura: fort_207_read <<<<')\n",
    "print('')\n",
    "Self = None\n",
    "Self = gd.read_diag.fort_207_read(DIRdiag, dates)\n",
    "\n",
    "idx = pd.IndexSlice\n",
    "\n",
    "List_dados = {}\n",
    "aux1, aux2, aux3, aux4, aux5 = [], [], [], [], []\n",
    "\n",
    "List_dados = {'Data': dates}\n",
    "param = 'read'\n",
    "\n",
    "tab = 2\n",
    "tidx = 0\n",
    "for data in dates:\n",
    "    \n",
    "    df = Self[tidx][tab].loc[idx[0:4], idx['sat':'assim']]\n",
    "    \n",
    "    df1 = df.query(\"sat == 'metop-b'\")\n",
    "    df2 = df.query(\"sat == 'metop-c'\")\n",
    "    df3 = df.query(\"sat == 'npp'\")\n",
    "    df4 = df.query(\"sat == 'n20'\")\n",
    "    df5 = df.query(\"sat == 'n21'\")\n",
    "    \n",
    "    quantidade1 = df1[param].values[0]\n",
    "    quantidade2 = df2[param].values[0]\n",
    "    quantidade3 = df3[param].values[0]\n",
    "    quantidade4 = df4[param].values[0]\n",
    "    quantidade5 = df5[param].values[0]\n",
    "    \n",
    "    aux1.append(quantidade1)\n",
    "    aux2.append(quantidade2)\n",
    "    aux3.append(quantidade3)\n",
    "    aux4.append(quantidade4)\n",
    "    aux5.append(quantidade5)\n",
    "    \n",
    "    tidx = tidx + 1\n",
    "    \n",
    "    \n",
    "List_dados['metop-b'] = aux1\n",
    "List_dados['metop-c'] = aux2\n",
    "List_dados['npp'] = aux3\n",
    "List_dados['n20'] = aux4\n",
    "List_dados['n21'] = aux5\n",
    "\n",
    "DF_final2 = pd.DataFrame(List_dados).set_index('Data')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "8962adc1",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1100x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1100x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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u/j9ixAiMHTsWW7ZswRdffAFACqh59dVXq9dGc5+2bNmCFStWAABYlsV1112Hnj17oqKiAnv27FHPRYL/EpYhQ4ZgxIgRGDNmjOpeP3fu3GYvSQjk6quvxsqVK1FRUYHXX38dd9xxBz744AM1UN/dd98dMmBi7969YbPZ4HK5AADTpk3DrFmzMHLkSAwZMgSjRo3CqFGjwHFc1PlbtmwZLrzwQgwcOBALFixQl4SsWbMGL7zwAh5//HEAwMcff6xZhtOvXz9cfPHFOHToED788EMIgoCDBw9i4sSJ2Lx5M0ymhkOqoqIiJCcn45prrkH79u2xfv36JvM+ZMgQ/PDDDwCAbdu2oUOHDjj55JPVz9lnn4327ds3uM5kMmHQoEE4+eSTkZOTA7vdjrq6OqxatQrLly8HADz99NO46aab0L59e9x+++0YP348HnzwQTWNyy+/HCeffDKA+mVK4dRlp9OJK664Ajt27EBeXl54ighAz/xE0t8C2jGB8nvR0qlTJ4wbNw5z587FqlWr8OOPPzYr5pfH48G6devU/81mc8g4QZ999hn++uuvBsdvvfXWJmOrjB49Gp07d0ZpaSlEUcSnn36qBml1uVz49ttvVdnJkycDAJYvX45t27YBAJKSktS6dfjwYezcubPB8yMSHn30Udx5550QBAGPPfaY2teGYunSper3UIGPw6G6uhovvvhig+MdO3bE5ZdfHlYa4ejMfwzmX/8oFIrOxNvaQqHEA5vNplrUBw0aFFJu/fr1Gsv8HXfcoZ6L1rODEEK8Xi/59ddfyfvvv0/mzJlDZs+eTSZPnqxeY7VaNa73/m8dGIYh69atU8/dc8896rmsrKyI8tGYzPz58zVl//e//62e27Nnj+btcDCX17q6OrJkyRLy7rvvkpdffpnMnj2bXHjhheo1Xbt2bfZvvfrqq+rxzMxMjUt5bW0tycnJUc+H84bYKPn45ptvNPl488031XNOp1NT9wYOHKieC3wz9uyzz6rnHA6H5k2o8sbx+PHj6jG73d5giYsoimT37t3NLmug98grr7zSoNy1tbUkNTVVlfF/U9y3b1/1+KxZsxpce+TIEfLdd9+RN998k7z44otk9uzZ5KSTTlKvufHGG1XZwLf1//3vfzVpCYKgvqUTBIFkZWWpsoWFhRovkenTp2vSWr9+fdT3ad26deqxPn36aLxvCJE8TEpLSxuUPRSHDh3SeBXMnj2bEELIRx99pMlzoCeZQrSeHT/88AN5+OGH1f8XLlxIunfvTgDprbfb7Q7p2UEIIa+88oomvcBP27ZtVY+RcAjM3y233KKe83q9pF+/fuq5Dh06qOcGDhyoHu/cuTNxOp3quTfffFOT5jfffKOe8y8bx3Fk7dq1YeeVEEKqqqo0aQR+GIYh48aNC6mPbdu2kU8//ZT83//9n9oWkpOT1es/+ugjjbx/2v5vyhUiqctPP/20ei5Sz45Y5Cdcz6DTTz89aL/pT7ieHUOHDiWlpaXEYrEQQBpjiKIYkWfHww8/TGbPnk1mzpxJBg8erDl34YUXqteFWvoR+AlVVwJ54oknNOVQ+PzzzzX3XFmS8fXXX6vHzz333Abpud3uBh4ioQgsS3FxMRk7dqxa59euXduoZ4f/M6Jt27Zh/aZCU15FwXQerc4UVq5cqZ5nWVazTJpCoegHNXZQTkj8jR2FhYUh5QKNHbfddpt6LlpjxyeffNKo+63y8XeJ938Qjxw5UpPeW2+9pRkEh5uPpmQCB2b+A31CCBk9enTIQcBLL72kmbQG+1gslmb/VlNLC/w/4bj/GyUfgRPowPXjDz74oEbnSryIwMGisqZawd+gZrPZ1OP+k738/Hxy4YUXkgceeIB8+OGHDQaq0ZbVf+KTmZlJeJ4PWnb/PF511VWEEG0cB47jNG3D6XSSG264QRNfJ9hHcbsmRBv7o0+fPo3qoqSkRJNO4CR78+bNmvOKYSqa++RyuUh2drZ6vGvXruSSSy4hDz30EJk/f37IWDehmDVrlqaeKPWhurqaJCUlqefuvffeoNc3x9hx4MABdTlY+/bt1XOPPPIIIYQ0auwghJCvvvpKo6dgn2AT4XDyF7i84cknn9ScP3z4MKmrqyMMw6jHHnzwQc01tbW1mmumT5+unvMv2/jx48PKYyCHDx8md9xxB8nIyAhZ/t69e2uW3ezZs0cTByDU57nnntP8VlP3NJK6fNFFF6nXxcrYoXd/Swghffr0Ua956623gspEYuwghJC77rpLPTZ//vyIjB2hPp07d9bEI9Hb2FFaWqqp90osFv84Mv4vffbv30+sVqt6rm/fvuSKK64gjz/+OPnmm29CxsEJRjBjx19//aXm59xzzzW0sSNcnSls2bJFI1deXh5RnikUSniEDgdOoSQw7dq1U7/v27cvpNzevXs1/4fa7o34Rf4GJBfGYKxbtw7XXXed6n7bGKHS6Ny5s+Z/q9UaMh/NoaqqSv2elpbWIFJ427Ztg1737bff4v7770dtbW2j6ftvKxntbx0/frzR3/Dn6NGjTcoYJR/+6aWmpiIlJSVkPgghmnz7k5ubG/I6l8ul1rF58+ahb9++AKTtPb/77ju8+OKLuP7669GpUyfcd999QfPWFKHK2q1bt6Au/wBw4403qt+/++47OJ1OzJs3Tz32j3/8Q+Mm/9BDD2Hu3LkQRbHRvPi3J/8ydOnSpdHrAssbWAcC/1e2O4zmPiUlJeHzzz9Xdx7YvXs3vvrqKzz//PO48sor0b59e82yiqbwX8IycuRIdOzYEYBUt/3d6v/73/+qS7f0on379rjkkksAAAcPHgQguXLfcccdYV0/ceJE/PHHHygvL8d3332Hf/7zn+jTp49GJpJ74U9j7QKQ+oHKykpNfxook5KSom7ZDSDoNpeAtCwnGtq2bYs33ngDFRUV+Ouvv/Dmm29i0qRJmv5+69atmuWOF110EVavXt1k2qGeLaGIpC6H6ov0RO/+NlY88sgjat/9+OOPR9XGGIaB3W7HySefjKeeegobN25sdGeS5cuXg0gvMjWfwHFDKAoKCnDWWWep/8+bNw8Oh0NTz/z76A4dOmDu3Llo06YNAKCkpASffvopnnrqKVx88cXIz8/Hp59+GmGp6xk6dCgmTpwIAPj555/x66+/hpT1X9pVXl4esk02RUFBQdB7GO4ywnB1pud4jUKhhIbG7KCckJx22mnYs2cPAGkgvnHjRgwcOLCBnP86feU6Bf+tA5X15QpKTIJAvvjiC3VSxjAM5s2bhwsuuAApKSn46aefwlrXq8QwUGAYpslroiEjI0P9XlNTA5fLpZn8HzlyJOh1n332mfo9NTUVX3/9tbpt4ptvvompU6fq9lv+28Dl5eVpJuWBKBO9xjBKPvzTq62tRV1dncbg4Z8PhmE0+fanvLxc83v+1yUlJakTpwEDBmDz5s0oLi7GunXrsGPHDqxbtw4LFiyAKIqYM2cOLrjgAowePVqXsgYab/w59dRT0aNHD+zYsQN1dXX47rvvNINlZa24gn9969+/P+bPn49evXrBZDJh0qRJQdd5+5dB6QdCEbjVYGAdCPxf2Zo12vt01llnYc+ePVi3bh02bNiAnTt3YvXq1fjtt9/g9Xrx4IMPYsKECejevXuj+f7jjz+wZcsW9f9Vq1aF7CvKy8vx008/YcKECY2mGSnTpk3T6OeSSy5Bfn5+RGnk5ORgwoQJmDBhAp577jmMHTsWS5YsARC6n22K8vJy9OrVS/0/UIcZGRlIS0sDwzDqhCRQpq6uTmPQDbUNcWN1PRw4jsPQoUMxdOhQ3H777fjtt99w+umnq+eVe7Bt2zZs3LhRPX7VVVfhhRdeQH5+PhiGQW5ubtQTf/+63LVrV01shECSkpKi+o1o86NHfwtAnawDoQ1XkdK2bVtMmzYNzz33HHbs2KFpC02xZ8+esA0UejN58mRVx/Pnz0enTp1UA9mAAQMwdOhQjfwVV1yBSy65BH/++SeKi4uxY8cOLF++HOvXr0dtbS1uuukmjB8/XmMcjISnn34a3377LQRBwNNPPx1S7uyzz1ZjlBFC8OGHH+Kee+6J6jejIVKd+RvtWJYNGYeFQqE0D2rsoJyQ3Hrrrfjoo4/U/6dOnYpFixYhOTlZPbZixQrN4KRfv34aY4f/BPPPP/8EIQQMw6C4uFgNLhfIsWPH1O/p6emYNGmSajQJNKzogb9hRAnGGC6BQdrmzZuHm266CQBQWlqKlStXBr3Ov4xdu3bFOeecAwAQRRFffvmlrr81cuRI9b4dPXoUY8eOxYABAzQyhBAsXboU3bp1C5qGEfMxcuRIzf8fffQRbr/9dgCSYc2/rgwcOFBTb/35+OOP1aC01dXVmnrpP2DdsGEDBg0ahP79+6N///6atDdt2gRA8koaPXq07mUNxuTJk9V8P/LII6qHVZs2bXDBBRdoZP3r2+jRo9GvXz81b6HexJ166qn4888/AUiBRT/99FNcccUVmvzv378fnTp1Qq9evZCVlaUOTD/55BPcdtttapDJDz/8UJO2orto7pPb7caePXvQp08fNRilIpeZmQmHwwFRFLFx48YmjR3+Xh3hMHfuXN2NHYWFhRg2bJgaAPTuu+9u8ppDhw7h+eefx9SpUxt4RTAMo6nroYx8TfHxxx+rfTnP85r21L59e9WLY+DAgdiwYQMAyVD95JNPqsZP/+cH0LDNNoeXX34Z7dq1w8SJExsYDwInjMo98G8HAHDppZeqb7pXrFjRqKHDZDKpXgfBnhP+dXn37t3YsWOH2q8ruN1u/Pe//8Xw4cM1npPREEl+9OqDunbtqgaJ3L9/f3Oyr+HBBx/EW2+9hcrKShw+fFi3dGPJxIkTkZ6eDofDgW3btmkMDIHG5uPHj6OmpgYFBQVq8GBAMhgpRimn04lt27Y1MJKES58+fXDttddi7ty5jd7DG2+8Ec8++6waCPnRRx/FgAEDNJ4qgFQ3vv76a/Tu3Vt9XsQD/3pWUFCgeYFGoVD0gxo7KCcko0aNwm233YZ33nkHgPTWs0+fPrjsssuQlZWF4uJifPnllxAEAYA0wPzkk080D6Nhw4Zh/fr1AIBffvkFI0aMQH5+PpYsWaJZouGP/9vEqqoqjBs3DiNHjsTKlSuxaNEi3cvp79Z59OhRTJ48GX379gXDMJg6dWqDZRr+TJgwATk5Oeog+fbbb8eaNWvUnUl4ng96Xa9evdS3K5s2bcKVV16JPn36YMGCBfj99991/a0bbrgBzzzzDCoqKuDz+TBq1Chcdtll6N69OzweD7Zt24YVK1bgyJEjWL58eZNLFoySj3HjxqFXr15qlPu77roLa9asQfv27fHtt99qllfde++9IdN59NFHsXXrVhQUFODLL7/ULJ+65ZZb1O9K3T3ttNOQn58Pu92OjRs3qoYOoH5SpXdZg3HdddfhsccegyAIGs+La665poFnU69evdTdad577z2wLIvk5GR8/PHHISd4d999N9566y3VI+uqq67CZ599hkGDBqGyshIrVqzAmWeeiVdeeQUsy+Lee+/FY489BkDaXePUU0/F2LFjsXXrVs1EefTo0aqHWDT3qaqqCn379kW/fv1wyimnID8/HzabDStXroTD4Wigi1C43W6NN0yXLl1wyimnNJArLi5GSUkJAOB///sfKioqNG+49eCjjz7C1q1bYTab1R10GsPr9eL111/H66+/jpNOOkldfiMIAlatWqX2LQBw3nnnRZWn9957D0ePHsWAAQOwYMECbN68WT3n3y7uv/9+XHvttQAkY+ewYcM0u7Eo9OzZs1m7bQSyadMm3H///UhLS8Ppp5+O/v37w263o6ysTGOA5zhONTp0794dLMuqnoPTpk3Dhg0bcOzYMXzwwQeN/l779u3VPuWll17CsWPHYLPZMHjwYJx99tmaugxI/dOll16Kvn37wuPxYPPmzVi6dCmqq6vVXV+aQyT50asPGjVqlKpT/100mktGRgamT5+Ohx56SLc0GyPUbiyR7CRis9lwxRVXqOMjpQ82m824+uqrNbLbt29XjZoDBw5Efn4+TCYTFi5cqJGL1jCp8MQTT2DevHkhx1aA5AX29ttv45prrgEhBHV1dRgzZgzGjBmDwsJCWCwW7N27F4sXL0ZpaWnIuhpqNxZAWkapl4HEX0/+L9IoFIrOtFBsEArFcPA8rwkgFurToUMHsnTp0gbXb968WROYS/nYbDZy5plnqv/7B/08duwYyc/PD/o7gbtV+AcU8w+eFRjMLzColz9lZWWaKPz+HyXYYWNBTL/77jvNbg7KJy0tjQwZMiRo4K4dO3aQtLS0BteYTCZy9dVXh8xrNL9FCCGrVq0KK+Dr8uXLG60PRstHSUkJ6dChQ6Np3X333ZprAuuCfz30/4wbN06z00eweuz/6dKlC6mqqmpWWRsLVhiMf/zjHw3SC7ZrSOAOOsonLy+PnHPOOSF/88cffwxaT5XPtGnTVFmfz0cuu+yyRsvap08fcvDgQc1vRHqfysrKmpQ95ZRTQgZ3DXVPPvnkk6ByS5cu1cgF7pDTnAClTREqQOmePXuavAeAFPQv8H6HIjB/48aNC5rm0KFDGwQlDty5J/CTn59P/v7775BlCwxeHQ6Bz4JQn8BdQ6ZMmRJU7uyzz9YEiQ3M07333hv0uqlTp6oyerd5/2sCg5DGKj+NsXv3bjUQZlJSkhr02Z9IA5Qq1NXVkXbt2jXImz/htrVAwg1QGk6f688ff/zRII2JEyc2kCsqKmryt4NdF05ZiouLNeeDjdeCBbD97LPPSHp6ekR1I5wApYG/F63OFPyDCX/88ccRXUuhUMKH+kxRTlhMJhNee+01bNy4EVOnTkX//v2Rnp6uWdeek5ODjRs3NnCDBIC+fftiyZIlOO2002Cz2WC323HBBRfgjz/+wBlnnBH0N7OysrBy5UpMnDgRdrsdNpsNw4YNw9dffx31nvCN0a5dO/zwww8YNWpUVGvHJ0yYgCVLluD000+HzWZDRkYGLrzwQvzxxx+a5Q7+dO/eHb/++ivGjh2L5ORkpKam4owzzsDSpUsxZswYXX8LkFyaN2/ejMceewxDhw6F3W4Hx3HIyMjA0KFDceedd2Lx4sWade56lzkW+ejTpw82btyIJ554AkOGDEFqaipMJhPy8vJw8cUX4+eff8arr77aaBoLFizAY489hi5dusBisaBz586YOXMmvvrqK009f+uttzB58mQMGDAAOTk5MJlMSE1NxYABAzB9+nT88ccfSE9Pj1lZgxHoLj106NCg9/+KK67A559/joEDB8JsNiM7OxuXX345fv/990bjQ5x//vnYvHkzHnzwQY0LfH5+PsaNG4fzzz9fPcZxHD7//HN88cUXOP/885GbmwuTyYT09HQMHz4cs2fPxpo1axr8XqT3KTMzE6+//jquvPJK9O3bF1lZWeA4Tg129/TTT2Pp0qUhg7sq+C9hSU9PVwP8BTJ69GjNGvNIl77Egk6dOmHVqlV4+umncc4556BXr17IzMxU79vw4cPx1FNPYcOGDRHH/1D4v//7P7z++uvo27cvrFYr8vLyMG3aNCxbtqyBt9tLL72ExYsXq/FGzGYzUlNTMWjQIDz22GPYtGmT7q7ws2bNwieffIIbb7wRQ4cORYcOHWC1WmG1WtG5c2dcfvnlWLZsmbrUy79cTz31FAoKCmA2m9GpUyc8+OCD+OGHHxqtM88++yymTZuGDh06qMuzAmmJNh/P/HTp0gVnnnkmAMkz6scff2x2ORSSk5Px6KOP6pZeS3DKKac0qNeBfTIgeda99NJLmDhxInr27In09HRwHIfMzEyMGjUKr776arMClPrjH/C1MSZNmoQ9e/bgxRdfxJgxY9C2bVtYLBYkJSWhe/fuuP766/Hjjz/i1FNP1SVf0XDw4EEUFRUBaLyPplAozYchhIYDplD8qa2txZgxY/DHH38AkB6c8+fPp+spKZQEZsuWLTjppJMwb968sN29Ka2DFStWYPTo0er/8Qz+SDEuX3zxBSZNmgRAilvx1VdfxTlHlERlzpw5amDdO++8E//3f/8X5xxRKIkLNXZQKEGorKzEGWecgeLiYgBSQFNl/SqFQklMRowYAYZh1DdulMSAGjso4SCKIgYPHoxNmzbBZDJhx44dtJ5QdEcQBPTq1Qu7du2CzWbDjh07NPHVKBSKvtAApRRKEDIzM7Fo0SK888476taD27dvR8+ePeOcMwqFoierVq0Cz/NgWRZ79uxBQUFBvLNEoVDiAMuy+Ne//oXzzz8fPp8PL774Il5//fV4Z4uSYHz99dfYtWsXAClYNjV0UCixhXp2UCgUCuWE5Y033sDDDz8Ml8uFbt264Y033ggao4fSeqGeHRQKhUKhnJhQYweFQqFQKBQKhUKhUCiUhIJGXKRQKBQKhUKhUCgUCoWSUFBjB4VCoVAoFAqFQqFQKJSEggYobUFEUcShQ4eQlpYGhmHinR0KhUKhUCgUCoVCOeEhhKCmpgb5+flgWeoPkChQY0cLcujQIXTs2DHe2aBQKBQKhUKhUCgUSgD79+9Hhw4d4p0Nik5QY0cLkpaWBkBqRHa7Pc65oVAoFAqFQqFQKBRKdXU1OnbsqM7XKIkBNXa0IMrSFbvdbkhjByEETqcTycnJdJlNAkH1mrhQ3SYuVLeJCdVr4kJ1m7hQ3SYmofRKdZxY0AVJFBVRFFFaWgpRFOOdFYqOUL0mLlS3iQvVbWJC9Zq4UN0mLlS3iQnV64kBQwgh8c7EiUJ1dTXS09PhcDgM6dlBoVAoFAqFQqFQKCcadJ6WmFDPDooKIQTV1dWg9q/Eguo1caG6TVyobhMTqtfEheo2caG6TUyoXk8MqLGDoqJsjUvduRILqtfEheo2caG6TUyoXhMXqtvEheo2MaF6PTGgy1haEOoeRaFQKBQKhUKhUCjGgs7TEhPq2UFRIYSgqqqKunMlGFSviQvVbeJCdZuYUL0mLlS3iQvVbWJC9XpiQI0dFBVRFHH06FHqzpVgUL0mLlS3iQvVbWJC9Zq4UN0mLlS3iQnV64kBXcbSglD3KAqFQqFQKBQKhUIxFnSelphQzw6KiiiKOHbsGLVwJhhUr4kL1W3iQnWbmFC9Ji5Ut4kL1W1iQvV6YkCNHRQVunYtMaF6TVyobhMXqtvEhOo1caG6TVyobhMTqtcTA7qMpQWh7lEUCoVCoVAoFAqFYizoPC0xoZ4dFBVRFFFeXk7duRIMqtfEheo2caG6TUyoXhMXqtvEheo2MaF6PTEwxTsDFGPhdDp1T1MQCf7ccxzlNW7kpiXhlC5Z4FhG99+hhCYWeqUYA6rbxIXqNjGhek1cqG4Tl9aoWzr+bprWqFdKZNBlLC2Ikd2jBJ8PW//4Ga7Kg7Bltkfv4eeCM4W2hYUrv/DvMjz9fTE61m5ELqpQjgzsTx2Ixyb0x3kn5bVoXlT5CDv/WOeHEh9iXs8irQeiAOxdDdQeAVLbAgUjAZYLnX6M63HE+aH1npIAxLIet/ZnWyz7hIgnZRHmhaIjMX42tOZnScRtMIZtNprx94mOkedplOihxo4WxKiNaP3PHyK/6Em0xTH12BFk41DhTAw+9/qo5Rf+XYZv572Nx80fIZ85rh4/RLLwFH8dLrpqSoMON1Z58c9TJJ1/rPPTEihuerm5uWBZunINiL1eI64HJd+DLJwBpvqQeojY88GcNwvoO6GBeKzrcaT5MWK9b+3QdtvyxLIet/ZnWyz7hIgnZRHmpaU4IdpsjJ8NRn2WhKPbSOtxLNtsNOPvE5FAvRp1nkZpHtTY0YIYsRGt//lDDFx9NwDA35gsyrVi48jXNJ1ouPKCSPDIc8/hOf6FkLIPm6fj2YcfVq3YscqLQqSdf6zz01KIoogDBw6gQ4cOiTsAi4BY6zXielDyPcjn14GAaIIoiQAYMGAmfaQZRMa6HkeaH6PW+9YObbctSyzrcWt/tsWyT4h4UhZhXlqShG+zMX42GPlZ0pRuI63HsWyz0Yy/T1QC9WrEeRql+VBjRwtitEYk+HyoeKYncsgxBOvvRAIcYzKRdd+f4JJSwIscjv+rb6PyR5hsLDpnEXYcqcEdGyeiHY6HlD2MbHx12k84uUsOklkBeR8ORxsSWv4Yk4msaSvBWZMhgMOxFwajTSN5KWeykfPodnAmU8Sdfzj3RpN+hPKU+BBrvfp4Hsee7RV+PRAFuGb3hdV5OKS8J7kdbA+WACwXVj3+p+lB3HTLNAiCAL7mGNp/ehaySRWYEOk7GDvsV30AzpIEgIVn/jWwuI+FlPckt4Xt/s2AyYw6lwe1s/rQek9p1cSy/w437bQZW0BYDl4vD/6lfuH3URE821gGcHm8qPlXBG02jD7Ka8tF0k0/AqIPgqcOjv9MRCapDtmHKOmD5SKblEXYX1J0JNJnVRj1voLJQvb9a8BxLATeg+NzCpFNKlvdsyTi8WWMxqPMPcWodAtYue0Izl82tsnx995rfkdhj1w9bkHCYLR5GkUfqLGjBTFaI9q86kf0W3yV7uluEztAAIu+7L4mZatIMqzwwcZ4dc8HAGxi+6Ccy0W1z4Kx4m9IgTvoAIwQwAUrVpL+SGU8yMUxdGcONRQMQCAMCKQETUzT0Zw3nzMP/UaNi7gczUEURZSVlSEvLy8x3zZFQLh1/hjbBoQ1wSI4YSfVTcq7YAEPM0AE2Bl3k/KHkQWetcEKL3LFo03KbzWfhKNsNmp54HThdyTDE7Ie+8CiGsnIQB04Jnbdu4+wEMDCyvialI1HvW/t0HbbcoTbL0RTj8NN20ks8IEDBxEpjKdJ+bViTxxh2sDNWHAuKWq0T6iFDR+J54IhIjow5ZjA/d5k+nvQAcRkQZpYixyxvEn5SKlAOo4iG13IfljBh8y7B2YcTOqBDNaJFO8xJAk1TaYtXPcDuK6n657npkjkNivs/hXcRxc0KXeYaQOBsLARJ7KYWt3zEa9nSWO6LdpRjoJPhjdqXKhEGp4xT4PZYgbv5fEo/yqyUNNom11mHYMsswfZnoPo69vcZB5rSZLchwhIC2McsnLUXJx6zsVNyiUygXo12jyNog/GMo9SWhRX5cGYpNuLPRC2bAYTWRRkkSDowyQUA8QtgLhF+qeR6xgGSIYHY5m/IsqPNJkMf0IZq3tOCY9w73+2WCH55oaJDV7Y4G20jvnTDscjSr83/zd6K/80UY/NEJGNyAaZB8UsuGGFHXXIYZs27gCScc8UZiFovacYmXDrZzT1ONxrkiM0+A9ltwPYLv3TRJ+QBhemct9GlH4XHACatmOquIgZdbCBhRjWJLcNHGgDR5N5TwKPbp6S8DMCYNfuXegZB2NHIrNr9y70DEOuHamQvsRodUSw9hTvHUeE0lWapSiBsAyQjRrM8T1T36bCaLMXen8AIugWUsMwcPiTy1RFJE+htFYSy/RMiQhbZvuw5JYOew+lt+3E2pFvhCW/b+C9EE+fEZascMH/AdM2YusZb4cl/8Ogd7Dk0hJ80/fVsOQ3drgapUMeQmnu2WHJ7+04ERXn/B9Ket0dlvxfp7yCI7dswNrhr4QlH+491xOWZdG+ffuEe9MUDeHe/x/b34MfTvkY33YIrx6v7P8c9l31CzYMeS4s+TW9p2PTmHlY2CG8eraqzSRsGfgQduaeG5Z86eAZwH1bUXL2h2HJ7xz5Io7fuBoL+zwflvyP/V7CwZs2oHjEnLDk41HvWzu03bYc4dbPaOpxuNdsHvEi3FPWYOuI2WHJ7+p2A46d9hT25YXXJxzJHQXX0NtwuOP5Ycmv6XoH1p72b/yYf1dY8vO6v4S/LvsTvw16KSz53/s8jOKC8OIvLM+4FHN7vo53Mu4JS76cZIQlpzeJ3GbDvafLCu7FrgnfYv3AJ8KSX1X4PrbcuhcLh74XlvyivUDRrmMQ5fUeC/8uw6mzluHK937HtE834Mr3fseps5Zh4d9lYaUXLo3pNlyjQY21Heoye6PW2i4s+Z0Zp6G49z34s+2ksOS3jXgBmLoGwoQ3w5Lv1rVbWHKJTCK3WUo9dBlLC2I096iYxi9gGd3XdzYnlkK4LpiK+2sixexI+KBpERDzehahfDjur/5ra2NdjyPOj4HrfWuHttuWwwgxO4z6bItln4B9qyPKe6R5aWkSuc3G+tnQlDwhQBmycKrnNYhg0SHThoEdMvBjcUOjhnL5W9cM0W3HkcZ0G3EbjHGbpbFtwocGKD0xSKzemBIRnMmEQ4UzAdQHRVJQ/i8rnKkO7iKSZznYLpgNhmEaOLqLABiGge2C2WpHG9O8AOA6j4LL1q6BrP81Lls7cJ1HtUh+WhqLxRKX3zUaMa9nEcqf0i0Hr5lvblT+NfNNOKVbjpR+jOtxxPkxeL1v7dB22zL41+PA1z/Nrcet/dkWyz4h0rxHmpd4kKhtNtbPhsbkCZGWdtTknozLTylAmtWEA5WuoIYOoH5h8ZM/lEAIVbmiIJRuI26DMW6zkY6/T3QStc1S6qHGjhOcwedej40jX8NRJltzvJzJDrrNV0TyfSeAmfQRGHu+Rpaxtw+6PVxM8xJF5x/T/LQgLMuiXbt2CfemKVpirddI5DmWwZkX3Yg7+HtwGFka+cPIxh38PTjzohvr1x/HuB5HnB+/9CuZ9LDuDyU8aLttWZR6LAQMi/Sox0rax5jMsNI20rOtOX1Ck+lH+lKkkbw4kBI0Ly1JIrdZ/3t/BNp63Ox60IR8DZMCAOh1dBGe71KMNY+OwZ2jG1+CQQCUOdz4c0/oWBqR0KhuI22DLTAejXT8faKSyG2WUg9dxtKCGNk9SvD5sOX3BTi6bztyOvVEnxH/aPQtluDzYesfP8NVeRC2zPboPfzc0PKiAOxdDdQeAVLbAgUjG7UoR5R2pPIl34MsnAGmun6nFWJvD+a8f4Xs/KPJz+G3L0L7it/wjXg6xj/6NcwWc0j5WCOKIvbt24dOnTrRDt0PwefDrueHo6ewE0X51+OUG1/Wr55FKL/w7zI8/X0xOtZuRC6qUI4M7E8diMcm9A/uhhvjehxxfgAc2rsd+R8Mg48w2HbOx+jdRB9CaRzabuND9cx2sDMuVBA7jox9u8l2Hgl/b/oLJ319NtzEjJ3nfKDvc9aAfULY6UeYd/+83ML9D2dzGzBPOBtZl7+h27KFaDgR2uzCv8vwwpe/YBluAwBc4X0Y+1MH61MPGpNf8Qywcg7AmoCrPsN3tX0w7dMNTeb31SsG4cJBzY8ZFZZuI22DLTAehShg//ND0JEvxaZut2PA1c9Sjw4/AvVq5HkaJXqosaMFMXojEkURFRUVaNOmTcI+qAFEbHyJBuHXl8EtexLfCKPQ/67P0T03Vdf0I+GE0WsUlDx7KvryxVg3/BUM+cfkuOYl4ojyogCxdBVqynYgLa8H2M6jdK3HkebH5ayD7QXpLVLtvXuQmp4VUpbSOIrxufLQbmTmd21yUhxp2hENlmOcfqzzEwkutwe2f0mxHo6TVGTMPABWRy+BtauXYuiiiTjKZCP7sZ3698cxfrbFdNeLSF+KyHnhi7/G6RsewN9iZ2Tf/zvy0m365CcKTpRn7dvfLsGUDZfAw1ix7potLbP7iSgC39wGFH8OWFKxacw8TPi66V1/5t8yAoXdspuUa/rnw9StKKDs6d7II+XYd/LD6HT+A423wRYYj25+8Tz0qy3C8t6PY/QV9+uadmsnUK9Gn6dRooO+djvBKXpf6ogLJ88Cy7LIza0P6lX0wQxAFFB404tB5RukFSAfiWyLy3c5Labpc9ldAQCdmSPYsL8KR398Om73Um+9tnZ5jZ6ItK8bZ04yRN4DB2VN6rbr6Uj322IxnvkZccO/UEesSGE8qDl+GKnpWa2rTzCIfG1lOQbUrsRJOCYdLAGOLMnGptRTkZqZ26x7qaTdT0kbwJHFDdNuqfRjnZ9I5b08jzPk/9PgQrXLi4wUq271WGg/DADg5tLUCVNre7ZF2kc1lX5z8l7YLRtocz6w4QH0Zvbhf/95EG3tSXFr4/F+1sa6rAo11Q4AgGBKadSQoGt+PnwIENJQ2OV0YM+v6P/rLXjUOgIOnxn/J0xsIH8X9zVsJuCULvW7D8VSt/6yPkjGCk+7IQDLBU17zmIpkP/dZ/doUO9fW7oDgkhw7zn1m/02J++iWXrZRlzVIeUjpaXqWqwJ1CslMUlc0zMlPFgOhXvfRtEHMyAIAnbt2gVBEFD0wQwU7n27oYXZT96foPKRyCaafFYXAEAn5gg8S5+P673UXa+tXd5P1iTKxg6rrXXkPUDeSLr9fe4/Uc2kAQCcVUdpnxCFfG1lOc6p/Q67Be3ga7eQi3Nqv0NtZXnLpN0C6cc6P9HIn3F4LoqEPgAAMyPAUV2taz2uXv8tAMDF2AzRZg0h39y009uj1pKDNWIvXOT4+MTuj2NdVpma6ioAADGnBD0fs/xwZuDyT4DcfmBqj6A3ux/3m7/E3dxXGMGWYAK7GiPYEtzNfYX7zV+iU5s0rcdJLHXrJ2uWX6KYLEkh0x65/13wy/6F15bu0Bx/bekO8Mv+hZH739XtXooW6bkMT02Tug2bFqprscZfr5QEhlBaDIfDQQAQh8MR76xoWP2f6YTMtJPV7z9IKioqyOr3H5T+/8/0xuXl84H/RyubUPL/vk/6++jw+N/LGOi1tcsr55Y/ejohM+1kyZybWk3eNecNptulj51JyEw7WfzS9bRPiFDex/Pk8Mwu9X1GkL9lM7sQH8+3SNqxTD/W+YlWftHLN2nysfj/pupfjx8dTja/MMYwbdYI8s1N+7dnzydkpp3Mf2QCqfPwTconcn8c67ISQsgDz79MyEw7qX3llJAyMc1P1QFCXupDyEw7+e2JM4P2IYtmX6tvfsLQrSL7y6MjpfHF/00JnfaKWYTMtJMXH76RvLpkOyGEkFeXbCcvPnwjITPt0nmd8r7omYsImWknPz55QZO6jYSWqGuxRhAEUlFRQQRBIIQYd55GaR40ZkcLYuS1YIp1VSAMOIZgq6k3qrIGamSyR16LHoMkd7vfX5+MERVfh5TPGDYJvYeNkWTfuBkjjn4RUjZt4IXoN2ocAODQnq2o/u/16O3bGlQ+5aR/oP/pFwMAyg/uwe7vnkfG8Y1B5W29z8LAs64AABwvP4jtXz4p5S2IvHPYnRhy7rUAgOqqYyiZ91B9WQLk16aegaEPfA8AcDtrsWHufZr7FCj/jm88rp/5EcwMwZp372hw7xV5H2FhYkQUFUxB4eRZ+P2tKQARw5ItevduMD53yLS9xAQL40NRwRRAFMB4qoPUAiDZsRMDPGtV+WLrYNSl9wwqS5KzAEJQuPdtVT5YvQEAYk1D4U0vqfVMyX8weWKyovDW/wMQRr1kWIy4/W313/UvnI/BzlUh5U++5XWYzNI2Y+tmj8eQut9Cyg68/iXYUqQ3Imt//DdS1r8Xsl72ufI5pGe2kfKw6BN4dv4asl72uORxZLftAADYuOxTuLYu0+jKXz7zhnlo20GKOl/86zeo+3tBA90q8r/nXoERd7wDANi8+ifUbPhWc18D5ZW6s3XNElSt+byBzhR5nnAwMwKKCqagzeDxOLb64way/vJKXfi9zUSADR6Yt4FszmUAE9rRkPXW4JSqn5qsZ4DUR9Tu+j2seqn0EeH0f5Zup6l9RNF701B4cG5IeXPBKRg6Ttqm0e2sRenLZ4esO1z7QRh24R3YvOpH9F50FdaIvZGBWvTmDtTLCx1QhVSwIEg5b6baX/7+1hRkHFsfNG2mTXcMnzQdALB51Y+oXvg0GJCQaY/gtmLzOfPQb9Q4FL3/gNpHBNabTdahGPDQMrWsv899GO6ju5FUvUeSD0i/SOiDQm4LAOBnZhRMjAhG5JEs1AbIs+AYUZX/XegNt70LklK0z8pgfRqb0gakQvuGtF5+E3r7tqjy65NHwZPaIahsXfVxJNftRyG3Nay6RiypKDzwfliyfa58Dr+9MQXjfYvVNhVKXukjwqmXXSbMUPuINXMmYZjj55Dynf5xH/K79AYg9RHcsidD1su8s+9AQa9BAKD2EaH6tNzTb0LXk4YDAHZs+E3tI4LJc+NfVMcRezb/gSO/vB9SFuc+q44j9m3fgENL3vTTq1b+T6EnjiEd7BWfoH9yFfYteFlzn0L1f8o4IpBg/V+vcXer44hQ8mq9bH8DGN4VVBYAzM7DGFr7S1h1h2s/CL7je8Pq09i2fSFUl4Ulq/QRgc9l5d4EgxCCux5/Cq9zL8OTNwzW25aELKPCqvenY9T+dzS6Jf0noc+FUvyIKqcXxR89ALPo1txLRX5z8inoN30xAKDO48OauTOQ5DkKVOwAiBiiz9kK7yUfYWXRSiT7qjT5CTWOWvzeI0jjjzbIf7A+pwbJsLsOhiVbZusJs+soeNYKL2uDj02Cl01C/2M/Y1jF13iJvxTv4FLchi9xv/lL/NXmImzOOgdm0S1/XDCLHqSbBXA+Z1i6tZpYDJ78Coo+mamRb0y30VD0/gMo3P+eeu8PpfVHWrcR2HyoGoRhsbjD3arsoIrv0fPgNw3uj575aS5GnqdRoifuMTsOHjyIGTNmYMGCBXA6nejevTs++OADnHzyyQCkjnXmzJl47733UFVVhVGjRuGtt95Cjx491DSOHz+Ou+66Cz/88ANYlsUll1yCV199Famp9UEhN23ahKlTp2LNmjXIycnBXXfdhenTp2vy8sUXX+Cxxx5DaWkpevTogVmzZuH88+vX+4WTl9ZK4eRZ8M18FyZGmlz39m0FyrdqZP7aNwSQBynWnmcDFV+DY0hQ+T9KewHyICWl/zhg2RchZX8v7QDIg/fqo/ul80BQ+aLdWYBs7Kg5fgQjyj9T0wmULzIlAbKxo676uEY2UP73nb8A8kTG46xpIOsvL5jT1GNeryeorCIvEAYbxa74+6ADA/NTQsoCgIkR4SUmteMfcvhzWJjgrnWBsv0OfQk76oLKioSBhfGp8uVPdEEugm/HtpvtrD6EvMSEDO8R9C9fH1T2AJOHDjO3wjvz37AwPogkeL0BgKPIBPASCifPUuWB4PI1xAZAMnYUTp4FceY7IesOTzgAbyOQUPJe8bX6+8JZG5V1eJ5VjR3CrhWN1sty50OAbOzw7Py10Xq5v3qqauxw7ipCYSP1cuexw+pEpm73mkbrZcbQS9RjNaXrGq2XPKlfO1u9d1Oj9dLMCGrd+euHdxqV9RFWrTvWnmdj8OqpYcmm9B+H/stuCCn7e4/74a1cBAvjA0+4kPUMkPqIcOoZALWPkOTfU9tbMPnfiaj2Ed3H3Qu8Ozdk3fmTrwMgGTu8Xk+jdecvVwWAO+CqPAgRLEZw9emo8twBAMB6sRtclfUDbP8+IjDtYsdgANIzzlV5EP3YvbAzzqBpbxU7qHIA0G3/Vw36CEU+lT+mOd5+7zfoSA4BAV7IHENACFRDBwB0F3ajG1smCwTKy32aLJ/B1KF33QIE69YIgaZPK35+NPp71jUUhNRHeFHfpwFotA57WVbtAwXCNFrXHHfvhPfVD8OSLXc+BFN6PrwVpibrpdJHFE6eBWHmu+AaeS7vPHa92kcImd0Bx88h6+XW8ktVY0dN6TqMaKReFh8+D5CNHYF9RKD8uoOnAbKxw7G/pNFn7V/7NqvjiKqDOxqV/aN0ozqOcBze02j/J4LFIHYX5mw5goJO5Y32fz7Cqv1f4DgiEP/+b//O4kZlBb9nbfdx9yLn3eDGCwD4M3O85lnbWN35y1WBwvu/DqtPW187EqdMX6DKkkaey0of4d9f+giLD7jLYC49jqEFmWAYbeDRKicPi+AEOMBsazzwekWtBx8V7cW3B0fiF6J9ju/Z+SMAydhR6/Ghf9mXyGC0jV2RT/PrBDw+ET0PfY185niDhfgcQyCqfQ4DcdGjKHB46/ucAALHUXn7/4eT2NKgsoF9ztqZwzGUCa6vQNmiJ09HIdkYVFYEcL/5S9xJvoWV8WEfk4eTK77FyRXfBpXH48fhffLfYfU5EGdj2LXPwfv0vzX50RNb55OB/e+pusqvKQY2FGMEAC/hcOXeC1TZ98yL0Jvbqmkn8TZ0CIKA3bt3o2vXruA4uktNohJXY0dlZSVGjRqF0aNHY8GCBcjJycGOHTuQmVm/h/cLL7yA1157DR9++CG6dOmCxx57DOeeey5KSkqQlJQEALj66qtRVlaGxYsXg+d5TJ48GbfeeivmzZsHQLLUjR07FmPGjMHbb7+N4uJi3HjjjcjIyMCtt94KAFi9ejWuvPJKPP/88xg/fjzmzZuHiy66COvWrcNJJ50Udl5aK0UfzEAhI6pv10rM/eDIGaqRye08QP3u2S692Qsln92t/ntd8U+NymZ0H65+T2/bCSXmfujLbw4qn9ZjVL1sdh6K8q9D+tG1QeVTep6hyqamt0FR/nXSdUHkk3qdrcompdhV2WDyLF//4LVYkzSyweRPZzdhw/4qDO5gbyDrL69M/oo+mCE9TDtcBxAhLNnNna4Ggnh2KPKqFf2DGUCXK7HLU9NAFgCSj2+BxV2qylda8nEge0xQWSY5C/s/mIFC+aFlYXxB6w0AMJY05ECpZz71jUpQec6KQvmrJE9C10uGVWUBgMjeAaHkh/lFUWdEvlHZwUn1Uf3Nvc5ByV+7Q9bLfn5vn5N6nYUikzVkveyV3kaVTelxOopk751g8jk59VvmpfYoRJG3Xm+B8pVrvwKGjwUAZHQ7BUW1oeulmRHUupPRdQiKjoeulzzh1LqTO/RCFJU1lPWXV+qCZ/uyoPU9mGxd8U8hZQGAq9imDo4aq2eA1EcUhVkvlT5Ckhca7f9sXUeq33f+OAc5CF13kgpOVr9brEmN9mnm9lK/astsDxaSZ0M6atGX218vL3SEA6kwMQKSM+vrxNoO1yG9/M+gaXPZ3erzntkem8UC6d4HSbsGKaocAOzy6yMC61mNJUdzXw52uxw7juyCrWpH0PT9PTu2cz2wm+0BRvAiRXBo5NU+TZZ3kGQsS5sAW1qG5veC9WlczwtRdOykBvqV5NehL/+3Kk8YNmRdqynfjzRPmcazo7G6hq+fD6ueAVIfIRzfoxrszIwQUl7pI8J5Lnf36yPYqt0AQtfLgrYF6veMbqegZE/oetmhff1LHKWPCNWn5XXqo8pmFvRX+4hg8pl+44isjn0afS5n+o0jMvK7N/pcZkCQxxzH31u2wD50cKPPZRMjqv2fMo4IJFj/13v8PWH3aTt/nIOdjfRp5ur9Yfdp5vYDwu7TTLm9w5ZV+ghFHpAMAL22vYVLSyZicKcM3HJaV5zbr50a++KQw4VkxgMAYK2hjR0OF4/TX1gOp1fA66Y3wZgkIwDDACXmfmB71wcVTbOasanjVTCJHs29VHRbzfg9X80sNnW6AnvryoCj0iQ/VJ/DVR/A3rZXozzAwTDUOKqs6yWo8Tb07AjW59R2vxhFQTw7gvZPHU/Bjho7zIKr3ltDkDw2fCKBzVcNK+ODh5iwJ2UAMngRPGsDz1mlv2wSeC4JrCUFx+fOwPAwdGs1cRjCWbBm7nRVt/5l1Qt+3XzN/wftg5HWc5Ts2cHh9o71zyHP0fEo2educH/iafBgWRY5OTkJvXsSBfGN2TFjxgxy6qmnhjwviiJp164dmT17tnqsqqqKWK1WMn/+fEIIISUlJQQAWbNmjSqzYMECwjAMOXjwICGEkDfffJNkZmYSj8ej+e1evXqp/0+aNImMGzdO8/vDhw8nt912W9h5aQqjrgVrzetHDS2/7Dl1/ejc56Y0O31Dl7WVySvnVj46Qlpj+9adrSbvRpb/6emLCZlpJz8/NZ7W4wjlacwO/fITrfxPT12oyccPz12lfz1+dDjZ/uVTraZetoS8bmk/OpxMeegxsnbvccOWNdby0aa97p3bCJlpJ8LMdEJm2snLj9xECmb8jxTM+B85bdYysnpnBXl50TYybf468uzDkiz5+jY1nVcWbyOPfLNJk/btn/xF3n7qVkl2pp2QRY/pV9ZNX4TsO/z/kk1ftPy9l3975Xv3Npq2JkbHU20ImamN4dGcvPifFx6X7v9SOUZZKPlIUdJ/8eEbyS0frtG93scDo87TKM0jrsaOPn36kHvuuYdceumlJCcnhwwaNIi8++676vldu3YRAGT9+vWa604//XRy9913E0IIef/990lGRobmPM/zhOM48vXXXxNCCLn22mvJhRdeqJFZtmwZAUCOH5ceih07diRz5szRyDz++ONkwIABYeclELfbTRwOh/rZv38/AUAqKysJIVJgHCUoTqjvPp9P810UxYi/i6LY4DshkgFnlRJs6f0HicfjIVu2bCE8z2uOK/KCIGiO++d3dZDj/oGc/Mu0yu+4f34jOR6Y91Blaup4pGUKddzn86nHV73/oJT3DZ8SMtNOFj5ylvZ4CHlFN/7H9SiT1+slW7ZsIV6vt/llivB4Y2Xy+Xzqw66p44IgaI6v9jsuCELYx/3zsvLfD6iDsGOH97bKMvl8PrJ582ZJt0HKKopiWMf9+wj/duvfX4RzfPnHzxAy0042vnRB0PYfiZ5CHW/pMil6aqxPC+e4f18eqq/7efa12oG6/FH+/3n2tVGXqam0F82+tlllCif9aMoabR8YSV+nOe6Xn+/eeypov9Dks0rOS+Cz6qfHziFkpp2s/e/MkM/ZWJRpVaz69TD7usb6QN3K9IIUhPGLR84nsxZsiUuZfD4fKSkpCdofR9MHhtvX6Vam108hZKadbH9NMlp/OnsqGfjkz6TzP/9Hdh6pJq8u2U4KZvyPXPFPKbim+MM9xOPlyR2frFUNI3uO1qplWvlvKT/eJ6SJvG/PqojLpOnr/Pp1svvXhoaNgD5k9aPDibj7F136b6/XS0pKSojP5wva/pW8//L2PWo+BI8zZJleWbxNNXSIy/8l5TEgaGk0z6pgea99PIeQmXby12NDQ8pHOtdQ7sGXL99FCmb8j9w1b62u43L/703Nk5ozf/J4PKpefT4fqaqqosaOBCSufju7d+9WY178/PPPuP3223H33Xfjww8/BAAcPnwYANC2bVvNdW3btlXPHT58uMEeySaTCVlZWRqZYGn4/0YoGf/zTeUlkOeffx7p6enqp2PHjgCkOCUAUFZWhrIyaS3hgQMHUF4ubbW3b98+VFRUAABKS0tRWVmp3i+HQ3L93bFjB2pqJDfjrVu3wumU1mKXlJTA7ZaWMxQXF4PneYiiiOLiYoiiCJ7nUVxcDABwu91w1lajqGAKBlw+Ezt27EB+fj7q6uqQNfJGFBVMgY/3YvduyTW2srISHmcdigqmoNv4B7Bv3z4AQHl5OdqPuRNFBVPgdbvUMnlcTvySdyMKJ8/SlKntGbfh1/ybAFHQlMlVV4uV7W+Wgib6lSlt2LVY1eEWQBQ0ZaqrqcbqTrdh6DXPaMqUNuxaFBVMgejjsXWr5OZYU1MDV10tigqmoM/EhzVlanvGbSgqmALe49aUyeNyoqhgCjqdO02jpy7n34eigilwu5waPfm8HhQVTEHOabdIZZK3nz2J24OX+EtRXV2t0ZMo8CgqmILkIVdp9HTK9c9jdcdbUVdTHVRP/mUKR08HDhxAfn4+KioqgurpwIED8HrcKCqYgryz7tCUqeeFM6SyOms1dU/gvSgqmIL04ddryjToyidRVDAFdTXVmjJBFLC6461IHnKVWqaSkhIUTp6FlR1ugau2Ri3Tjh07AFHAb+1vRs5pt6hlKi0tReHkWfg170a4XU5VTwcOHABEASvaTUanc6dp2lPh5FlYnns9eI+7gZ7sp9S7GB84dAT9Ln0URQVT4KqtiVpPJSUlgChgZYdbkD78ek2ZCifPwm/tb4bbWaspE0QBv+bdiLyz7tCUqXDyLKxoNxlet0tTJogCludej27jHwDLsiCEwOFwoHDyLCzLuQ4+3qvtI0QBS7KvwYDLZ2r6iMLJs7A462oQwafpI4jgw+Ksq1E4eVZ9mQAMuHwmlmRfA4hCvZ4A+HgvluVcJ8X9MUkxTqzeKnQb/wCW514PiEJUeqqsrAREActyrkOfiQ9rylQ4eRaWZF8D0cdrygRRwOKsqzH0mmc0ZRp6zTNYnHU1IAqaMok+Hkuyr0Hh5FmaMvWZ+DCW5VwHiEK9ngDwHjeW514vxb5RygSg07nTsKLdZEAUNH252+XEr3If6N+X55x2C35rfzMgCpq+nLOk4OeUCRjI7oY/XbhyLEqZgLSMnKj1ZEvLwk9J49CVK2+Q9k9J45Camaspk9ftwop2k1E4eZamTHln3YFf824EREFTJlNSKn5OvgA9uLIG6f+cMgGpmbma5xNjTsailAlB87M49UKkpGerZXI6nXDV1qCoYAr6XfqoWiaHw4Gc026R+kCvR9VTRUUF3HL/3eX8+9QylZWVodO501BUMAUel1PzzOU9bvyMEZoYIx7HUfSZ+LDUL9TVqnpy1dZgZYdbUDh5lqZMyUOuwuqOt6rPKuWZW1cj9d/ZrNT2s9t2hNvtRvrw61FUMAUC79WUye2UnlU9L5yhKVPeWXdI/bfHrSmT1+1CUcEUtB9zp6ZM3cY/IJXVWacZR/jk/jtr5I2accSAy2eiqGAKnLXVmnEEEXxY3ek2JA+5SjOOKJw8C6s63AJnbbWqp61bt0p9YPubkTXyRrVMu3fvlvrv/JvgcdY1S09FBVPQ9ozbNGUaMGocioQ+sDNOLN5cppZJ9En9d9qwazVlGnrNM1jd6TbU1VRrx0aigFUdbkHasGs1ZSqcPAsr298MV12tpkwQBfyafxPannEbWJaFzWZT++9f8m6ER35WqeM9UcCKtjegy/n3qWWqqKio77+9HrVMDocDEAUsbXMt+l36qFomp9NZ3wcKvG568hScBQDokZeBX/NvQm4Swep/noWXL+wBznkMd5/dA4Pap6KI9MM4z7N4fW8nDHl6MX4slu63lWOw8UCVWiYWIpbnXAvnJf8FTp+O3Z4s9Vm1tM21EORnlTrek59Vg658Ui0Tz/M45frn1f5b1VPBSICzaJbJKRRyW6QtpDkLHOn91LGRz+tRn1UVFRXqeK/L+fdhRdsbAFHQjMv9x7AHDhyAzWYDy7LBx7CynvJG36Lmw+UVguqJ53mcvPc93G/+EuIZD4Efea9UpjOmgz91Ou43f4mT975XrycAAu/F0jbXonDyrPq6B6DnhTPUZ5V/mbweN1a0vUF6PkCKT2YiPrQdPRW/yP13c+YaztpqrOpwCw4PkgKQmlkGoihKfWCn20AEX8i5RjhjWP9+z39c7t9H6DF/2rFjB7KyssCyrKYvpyQWcd2NxWKx4OSTT8bq1avVY3fffTfWrFmDoqIirF69GqNGjcKhQ4eQl5enykyaNAkMw+Czzz7Dc889hw8//BDbtm3TpJ2bm4snn3wSt99+O8aOHYsuXbrgnXfeUc+XlJSgX79+KCkpQZ8+fWCxWPDhhx/iyiuvVGXefPNNPPnkkzhy5EhYeQnE4/HA4/Go/1dXV6Njx46orKxERkYGRFFaq8+ybMjvgiCAYRj1O8uyYBgmou8AIIqi5jvHcSCERPRdFEUQQtTvTeX9hC9TXQXwYneIYNDH/QFeu2YExvZr17rLlEB6Onr0CHLekHaa4f9ZBpPV1urLFG89FS36AoWrb8Y+U2d0eHh9QpQpHnr6c87lGF79Mw4w7eAY8zJ6nDwGZotFlzKBEDie6Yws1OBP+zkYfOc8cCaTbmXas/kvdP1yDGpJEvaO/Y+a91BlFXw+MM/kSDtdnfIK+p99FSxWa1z09Pezp2KAsBkOLgvpwnF8n3Y5LrjvHV3qHhgWW54YhJPYUjgmzoe9/z8MWfdabXs6vhPMG6fARSzo7/k3lk8/B/np1tZdppbW074/wPxnLGBNh/jAdhDW3KBMUz7+Cws3l8E/OqjNzOHW07vgmuGdkGO3tVyZSr4DPr8eDLTTGAIpvggz6SOQPhe0qJ72l25H549HwAMzLDOPhi7TiudBwII5c0YDPZEVs8CCgJz5T13qXtkT3ZCHCpQIndB2xhpkJlt0q3tLP34eqTu/x5FO4zDhpkdbfXuqra1FRkYG3Y0lwYirZ0deXh769u2rOdanTx/ViteuXTsAwJEjRzQyR44cUc+1a9dOtegp+Hw+HD9+XCMTLA3/3wgl43++qbwEYrVaYbfbNR8AakfAsmyT3zmO03xXImNH8p1hmAbfATT4DgCbN29WO5xAGZZlNd8jKUe8ytTU95iWKaUNYEkDC4IOzFFsOuiIS5kIIdi8eTMIIVRPfmUS5DdoImFglg0dra1MgiBg69atUGzW8dZTUrrk+ZYiOGgf0YwycUR6C+iGFb1HnAeL1apbmTiTCcr+CoKtDcwWi65lEgXpba2TSUa/UePUvIcqq8lshgeSIadd70JYrNa46SlFlN5816VIu9OY+Brd6p7DxSMN0lvRo8erQz5n4133IilTvPQUtEzZPYCkdNgYL3ox+7F0y5EWL5MgCNiyZYvaH7c6PXUYBqTkAB4H2H1FQfXkcPkwjfsaLKRJJccyWP/4Obj3nF7Isdtatkx9LwQz6SMgVetxzdjzpeN9J+hW9wgh2LJlCwRBaLRMPvkFpxfmxss0+mGwo/8ZVE/s6H8Cox/SrT15GWXnOQG1Lq+udS+9rhQj2C1oI5Qbv48IUg5Aevmt6NX/OCVxiKuxY9SoUQ08MrZv346CAilieJcuXdCuXTssXbpUPV9dXY0//vgDhYXSHgyFhYWoqqrC2rVrVZlly5ZBFEUMHz5clfn111/B87wqs3jxYvTq1Uvd+aWwsFDzO4qM8jvh5KW1w7IsOnfurHYOlGbCMEBWZwBAAXME6/dVxSUbVK/B4T3S8hAPzJKuWiFG021yhrRTh53USKH3KVHBCtKA2QI+Jrq1EMkgwQieJiQjx+eV2hXPWMK+xsuY5WudTUjGDkII0kTJtVnM6AwAMPG1uqVf5fSqW//md+llmDabMLAs0F7aBWkwuxNLt5Y3cUEssmCs/jhiWBYYfA0w5HogNTeoSJnDhVKSBxEsLCyBIBK8++vuoLIo3wr8cA+wa1ns8tx3AnDLcgCASIC/x3wC3FMsHdeRcHXr4+X+D+ZG5VoSxdghEBa11ZW6pl1gl8ZOHXOzdU23pWj1bZYSFnHV7r333ovff/8dzz33HHbu3Il58+bh3XffxdSpUwFIlr577rkHzzzzDL7//nsUFxfjuuuuQ35+Pi666CIAkifIeeedh1tuuQV//vknVq1ahTvvvBNXXHEF8vPzAQBXXXUVLBYLbrrpJmzevBmfffYZXn31Vdx3331qXqZNm4aFCxfipZdewtatW/HEE0/gr7/+wp133hl2Xlo7DMMgJSWFWjb1JFOK29GZOYJNBxwQxJafAFK9BoeXJ1Y8Y5xBSaQYTbcpsrHDDB8QYntjStNwshHCTLy665YQAiskwz/ji4GxwxOFsUP27FAMkPGgzuNDBqQ6a2nTFQCQJOhXhyvrvKpnR3JmO8O02YSiQ72x4/fdx1Dj5pu4QF+M1h9HxZgngAmvAW37NThFCMH+She+E0fhPtMX2H6FC/ed0xMvL96O15buaJjWlh+AtR8Af7zT8JyeWJIBACwDVGQNAVhO958IV7fR9H+xhu91AbaIHdGGdcBVU6Vr2rk2aUzbqW3rNHYkRJulNElcjR3Dhg3DN998g/nz5+Okk07C008/jVdeeQVXX321KjN9+nTcdddduPXWWzFs2DDU1tZi4cKFSEpKUmX++9//onfv3jj77LNx/vnn49RTT8W7776rnk9PT8eiRYuwZ88eDB06FPfffz8ef/xx3HrrrarMyJEjVWPLwIED8eWXX+Lbb7/FSSedFFFeWjOCIAVVEwQh3llJHLKkQXNXrhy1Hh92HdXvTWG4UL0Gh5cDfyoTrdaI0XSbnp4OF5Hup6emIs65ab1wsueFhfC665bneZgYeV1zDD07fGz47YpXPTviFxyuqqoSFka618ntegAAbGIdfIKoS/q1NVXqff97137DtNmEosMwAMAw0y7wAsFvO1q2DzJaf6w3LyzcBkEkuJJbirtN3wCWFNx9do/QBo9tP0l/e50f24yZ6sfgvDc2BtNwdav0YUZ6idL38qeQZ6pBLlMNd62+nh3gZW88s03fdFuIRG+zFAlTvDMwfvx4jB8/PuR5hmHw1FNP4amnngopk5WVhXnz5jX6OwMGDMBvv/3WqMxll12Gyy67rFl5ac2wLIvu3btTdy49kXdk6Wc7BniBDfuq0LNtWotmgeo1OLz6BsY4g5JIMZpuU60mlCENNhxDzfEjsOZ0jXeWWiUmUTZ2wKu7bj3uOtW8x4r6GztEebDvi+DNpo+xAKTeUBIPqo9L8bg8MMOWKXmF2uGEw8UjO9Xa7PRrHdIkQwCLbr1OMkybTSjaDwUAdCKHkI5aLNlyBOf3z2viIv0wWn8cNaIIHPwL4F1A1zPUww6X1C/dbF4kHZA9Ku4+WzIOajxXq8uAQ+sAMEDP82KbX66+ffo8sTGYhqtbkY+8/2sJ3GwKIFbBW+fQNd26ulqkAKgVzUjVNeWWIWHaLKVRqHYpKgzDwGazUXcuPZGXsRRAGkiv31/V4lmgeg2OwCtvYIw1KIkEo+mWYRhUM1IgZpej5dfMJwpm2QhhBa+7bpWtjAGAk4OJ6onAK54d4RsIlDYoxtGzo85xFABQy6SBS84AAKQxTlQ69VkKobxRdXGpsCUnG6bNJhTJWUBWNwDAIHYXlm8tb9Glo0brj6Nm06fA++cAix/XHD6rtxQINJWVjaSW+unt3Wf3wL3n9KwX3r5A+tvhZCBNG0BUd1gWPvndrS9GS+HC1a2gGHtZ47xE2V12FOvE7igjmeCdVbqmvf/IMQDApiP6P0tagoRps5RGocYOioogCNiwYQN159ITeRlLhvcwOAjYEAdjB9VrcHzqoKT1GjuMqNtaTjJ2eKrpMpZoMSnLWBifZvtyPfC664OAcjH07BAiaFdKG/Tx8TN2eGRjR50pHUhKBwCkwaW+zW4uXtnY4eVSDddmEwp5KcsIy25UOnms26ez234jGLE/joruYwAwQNkGwHFQPVxWLbXPZMjt1JISOo1tsrGj1z9ik8cAFIOpEMNlLOHoVnmJIjDN9wbTi8Pz78L54i84JGbD59TXs4MnLNzEDE728mltJEybpTQKNXZQVFiWRd++fak7l57Y8wHOApbwyGOOYdvhaji9vhbNAtVrcEQltkAr9uwwom5dpgwAAF9zNL4ZacWYSf0Em/fqbOzwe/NpIvq/jSNy0FOBCz+WlSAvJRPjaOzwyjFmPGY/YwfjQmWNPnlS3qjyZrvh2mxCIQcpPTOlFACwZMuRFvtpI/bHUZGaqxqNsH2herisSuo7kkgTxg5PLbD7F+l7rON1yNQbTPU34ALh61bpwwQDeXaIcl9MGAbEXa1r2o9nPIfeng9R1fFsXdNtKRKmzVIahWqXokHZ25qiEywHZHYGAAxOqYRIgOID+lrWw4HqtSHqG5gI3O2NiNF067VkAADEumPxzUgrxoJ6I4S/J4Ye+Dz+nh36GztEeRmLyIVvRFTaYDyXsYh1xwEAvCUDsNrV43U1+ngGCLKxQ7CkGa7NJhSysaObdzsYiFi6pWWX0yWMbnvLRgolyCiAww43TPDVG2MtIaI0VO0D0ttLy3hzesc4oxKKJ1ksDabh6FY19hpoXCGapOChDADi0dfY4eGloMtJ5tZb7xOmzVJCQo0dFBVRFFFcXAxR1Cf6PEVGjtsxIkN6yLT0Uhaq1+Aok7JI3O2NhhF167NmSl+cx+ObkVaMhdTHiXA59d3ByX97VwuJwVtQebJBIvHskA0jJAZb4YaNS6qvQlImYLLAK7uhu2p0qsfyJINY0gzXZhOKticBpiRYeAe6s0ews7wWe4/VtchPG7E/jhrFI2PPr+o24occLiTDr42G8uxo2xe4ax1w81KghWIhqMaOGC1jCVe3RO3/jDOuIIqxg4hgdd4S3u2Tln8kmVrndDKh2iwlJK2zdlJiAsuy6N+/P3Xn0ht1RxbJTbqljR1Ur8Eh8lvkSN5AGw0j6lawZQEAOHfLrZVPJAghsKLe2CHo7JbtH8DPHINlLPApg/3w32yK8ltQEsdlLKxSX5Ol+uvhpLfWntoqXdJnZGMHa8swXJtNKDgzkD8YADAxtwwAsKSFvDuM2B9HTZueUrBXwQvsXApA8uywKcYO1gQ09uxkGCAluwUyKhFrz45wdWtEzw4ibwvLMgQsr6/x/Km6Z/Bv82yk8q0zRldCtVlKSKh2KRpokJ4YIAcp7cRIa4fjFaSUosWIg5JoMJpuGXmyaPZQY0c0eH0CrEy9sYP36ruMxT+An5nos9OIBrldEVMExg7VsyN+xg6zpwoAwMkTNN4sGTv4On08OzivZOzgktMN12YTDnkL2jNT9wIAlpS0XNyOhNEtw9QHF929HIQQlDncSGH84nUE89pwVal9QEuiGkxj2IeEo1tlXGEkzw6YJC87FgRmXl/PjuHieozh1sPaileCJEybpYSEGjsoKqIooqSkhLpz6Y28jCXdfRAsA5Q53DhS3XKDeqrX4Ii8MihpvcYOI+qWS20DAEjiq+KbkVaK26U1bnhdOsfs8IuLYYmBZwcjyBOdCIwdahuMo7FDqa/mNMnY4bNIcTsElz4xlszyG1VTcobh2mzCIQfX7OrZAgBYU3ocDlcMDHsBGLE/bhYn3wjc+DMw7mVUOnl4fGL9TizmEEtYfnsReKEb8Me7LZdPACKnGDtiswVquLplojD2xhyztFMKBxEWQcclXYIPZkgB97Mz0vVLtwVJuDZLCQo1dlBUOI7DoEGDaLAevZGXsXCVpeiZK70tXL+vqsV+nuo1BILsbm+kQUmEGFG3ljTJ2GHztXwg3kTA69EaN0Sdl7EosWoAwAL9J4D1xo7wY3aIqrEjNhOVcEgWJM8Lmz0HAEBkY4eog7GDF0TYRMnYkZSWZbg2m3DIxg5rxRb0yzHDJxL8sj32u0MZsT9uFtndgE4jAJbDIXknlvxkeVIYKl7HtgWAtwZIzWmhTEqoy1F9sYnZEbZuDejZ0b77AGxOLYQFPJJEHY0dfvc6M711GjsSrs1SgkKNHRQVQghcLhcIIfHOSmKR0QlgWICvw2n50kChJZeyUL0Gh4kitoDRMKJurfJkMU10AAbKV2vB69YO1v1jbOiB/5p2K7wQBX3faLGysYOJwNgBpQ0K8QlQKooEaUQydiRn5EoHbdLgndFh9wKHi0caJCOWNTXTcG024UhvD6TlAUTAFR2kXaGWtsAWtEbsj/WizCH1Gx1SZJf/YMaOo9uBYzulWB7dx7Rg7vy9w2LTh4SrW9XYG0GA5ljTY9g56DD2bvRgD8Em1kEUdaqffobzSIzbRiKR2yylHmrsoKiIooidO3dSdy69MVkBewcAwIgM6S3hhv0tF8+A6jUEUbyBNhpG1G2KPFk0wwd4W2YXhEQicKtZ3qPvMhb/7V05hsDj1debQjV2mCNoV7J3FSPEZxlLtZtHBiTPi9RMqf5ysrGD8zZ/jXuV0ws7I+vRmma4NpuQyFvQnplSCgBYvrUcvM6GvUCM2B83m5ojwA/3YMDiKwEQtEtSjB1Btp1VtqntfBpgTWuxLAKof47HyNgRrm4Z1dhrHM8OAEhKlfqzNLhQ4/HpkqayjbloSkJrNRUkZJulNIAaOygqHMehf//+1J0rFmR1BgD0TZKC3RUfcEDQy7reBFSvwWF9kccWMBpG1K09zQ43MUv/OI/FNzOtkEBPDr23Yw0M4Odx62tM4UQpv2w0xo44LWM5Xl0HOyPdd4scc8acnCH95Zvv2VHlrPfs4JIzDNdmExJ5KUuH2s3ISrGg2u3DX6WxfclgxP642ViSgQ3/RdvKtejGHELbpEY8OxRjR+/zWy5/MkQ1mMbG2BGubllR7sMi6f9iTLXLi21VHLaKHZDKuFCtU/ya2hqpb6ziTa3WiTMh2yylAdTYQVEhhKCuro66c8UCeUeWtr5DSLFwqPMK2FGub1TsUFC9Bqf+DUzrNXYYUbcZKRYch/RWj69pndvRxRNvgLFD9Oq8Bj1ga8bAGCHNhZMH+4zFFvY1ypIXxVDS0tRUSVuTimAAWwYAabkJACQJdfD6mvfWr9LJI0327CDWdMO12YSkveTZwRxcizN7SUvrYr2UxYj9cbOxpgFdTgcAjGXXItsqewUEGjtqjwL7/5S+9/xHC2ZQgomxsSNc3bIGHFdsW78SA74/F9lMNdLgRI1bH88Or9cNnnDwwAKWDbIzTysgIdsspQHU2EFREUURpaWl1J0rFsg7srCVezCgQwYAYEMLBSmleg0OK8iTMgO9gYkUI+o2LcmMKiIZO+oc5XHOTetD8MbW2BHo2eF167vUyCQP9rkI2hVjliYGSptsaeoqJaNcHZMCsNIbPktKBgDAzjhR5WpevqqcXthlzw7Rkmq4NpuQ5A8CGA6oOYTxBdJE5n+byvDdhoMo2nUsJp6VRuyPdaGX5KkxhluLLJPcFgKNHdsXAiBA3kApZkoLoxgXYtWHhKtbVuTl/BhnXGFKknZjscIHK+NDTV2tLunWZvZFD8/H+Afzhi7pxYOEbbMUDdTYQVHhOA79+vWj7lyxQPbsQOUeDOqUAaDlgpRSvQZHeYtspEFJpBhRtxzLoJqVdrJwU2NHxPgCPC2I3m8qA5bF8B5942SY5O1suSg8O1QX8BbGXS3t1OHk7OoxVvbwSIMTVc7muX07al1IZaT7zCVnGa7NJiSWFKBtPwBAytF1AIDD1W5M+3QDrnzvd5w6axkW/l2m608asT/WhV6Sp8ZgZieyiLw7UaCxo/Mo4KxHgVNubeHMSTAmqb9hY7iMJRzdRrWML8aYLIqxQ+rHXNX6LOdy85KBwGSw+CSRkLBtlqKBGjsoKoQQVFdXU3euWCBvP4vjezCoYwaAljN2UL0GR5lYGWlQEilG1a0yafRW02UskSJ4tcYHwutrjGACPDt8bn09R6IxdrCyZ0e8lrF45eVWbnNG/cEkqQ6nMU5U1jXPCOOqrZ9cEGuaIdtsQiIHKd34+9IGpw473Lj9k3W6GjyM2h83F5KWh2LSFSxDkFG7UzoYaOzI6gqc/iAw+JqWzyAAxqL0IbExmIarW0727DDSuMJsk3RlZaS8uWurdEnX45PitySZW+9UMlHbLEVL662hFN0RRRGHDh2i7lyxILOz9Nd1HENypLWN24/UoE6nqNiNQfUaHJPyBiaCSZnRMKpulUmjr5YGKI2UwGUsgctOmkvgmnbeq2/MDrNs7DBZwh/ss2apDZri5Nkh1En11GvJqD+YJO1eYIcTVc0M6KdMLnjWCpHhDNlmExFRjtsxiN3Z4JwytXnyhxLdlrQYtT9uLsfrvFjkGwIAsFaXSgeDBSiNI2yM4/6Eq1tlXMGZjROzw5Kk3TnHU1elT7r7V+Fd80uYLH6lS3rxIFHbLEULNXZQVDiOQ+/evak7VyywpgEp0paGOb5DyE9PgkiATQccMf9pqtfgKBOrSCZlRsOouvVYpOCOIt2NJWLEAE8ORufdWALdvH06L2NRjB1ma3LY13AWZaKizy4BEeOUdskSkjLrj1nrPTuqnM0zwvicUj/Pm+yGbbOJyEbSEwAwgNkNExq+WCAAyhxu/LnnuC6/l6i6LXO4sVg8GQfQFoy8JEKz9ey6j4C/vwLczd+5KFqUGEGx8uwIV7cckfowzkDjCqtNa5hS+qPmYnKUYiy3FieJ23VJLx4kapulaKHGDooKIQRVVVXUnStW+C9lacG4HVSvwYnG3d5oGFW3yqSRdeoziTiRCDR2BMbYaC6Bxg6B13cZi0U1doTfrpSJionEZxkL65aXmdj8jB3+nh3NjNnhc0rpC5Y0w7bZRGQf0w4OkowkhkcvZn9IufIafQx+iarbMocbW0lH3JH9PpBRIB1UPDtEEVj6NPDljcDBv+KWR1Y2LsTKOyxc3ZoNOK6wWszwEBMAQCSA4NLH2JFtkZax5GZlNiFpXBK1zVK0UGMHRUUURRw9epS6c8WKTMXYsdsvboc+gaIag+o1OPWDEuO4m0aKUXVLbFkAAM5DjR2RErhshRH09bwIDAKqt2eHRQ6CF5GxwypNVMwkPp4dZo/UD7Mp2fUH5ZgdVsaH6trm7V5AXNIbb9FqN2ybTURy7cnYIHYHAAwOspRFlUvT5y18ouq2zOECwCAvwwZ45d2bFGPHwbVAXbnkCVVwatzyqBgXTDHqQ8LVrcmAnh2pVhN254zB30xPiGAguvUxdrSxSsaOLnltdEkvHiRqm6VoocYOigrHcejRowd154oV/juydJQs4S3h2UH1GhxlYqVEKm+NGFW3bLJk7LB4quKbkVYICYjZoffuAlxAeqKOnh2CSNSI/5ak8NuVSZ6oKAbIlsbKS4N/S5rfoN2SBgIpvpK3tnlGO8Yjpc8kpRu2zSYip3TJwg5LbwDAYHZHg/MMgLz0JJzSJUuX30tU3ZY5JINoXroN8NZIB+XdT7DtR+lv9zFAHHfl8O9DxBhsKxyubi2QPdsMZOxIMnPoc+dnSG3bBSaGAJ4afRJWDPNm43ixREqitlmKFmrsoKiIoohjx45RC2esUJexlKJ/+3RwLIMj1R75rUnsoHoNjjKxsliNMyiJFKPqlkvLAQAk+arim5HWSIAxgtV5GYtJDDR26OfZ4fV6YWakt32RGDvMykQF8fHsSBYkz4sku5+xg2XBm6S4BN5m7l7AyRNELjndsG02EeFYBoNGjAEADGZ2ac4x8t+ZF/QFxzLQg0TVbVmVNEbJs1uB8i3SweqD0t9tC6S/vcfFIWf1KLG3rODhFfS//+Hq1kyk2DCmCDzbWgxrGgCA1cnY4XJKHm8u0nq3nk3UNkvRQo0dFBW6di3G+C1jsVk49G4nPXjW76uK6c9SvQZHcbc3RRBI0WgYVbdW+Q15ilANGCxvhkc2Pgjy45nVeXcBJS6GQKQJHtHRs8PtqlO/WyPx7JANjpY4eHb4BBFpomTsSM7I1Z4zS8YOXzPWuHt8ApIEaVJgSs4wbJtNVE4edQ4AoCtbhgzUT/LapSfhrWuG4LyT8nT7rUTVreLZ0S7DBrBS7Acc+As4tgs4ulU61n1MHHNYv2zOynjh4fWfuIajW0KI6tlhMVDMDgDYfbQWu4R2cBMTOF4fY8fuQ0cBAL+WNm+ZXzxJ1DZL0UKNHRQVjuPQrVs36s4VK5RlLDWHAN7lF7ejKqY/S/XaEJ8gqsYOixHfwISJUXVrS5c8OyzEC/D6bm2a8MieHLWQ1sTrvbuAEsCvlpHSJ3p6dnjqDSdK0NFwUHZuscbBs6PKxSOTkQbrKRk5mnOiVQpSSlxVUafvcPJIY6Q2YEnOMGybTViSs4BsKW7HlG5VAIBz+7XFyhln6WroAIzbHzcXxdiRn2GD6hOzr6jeq6NgFGDLiEveFJQYGRb44PEJ+qcfhm69ggirvOuPKclY44qaN0bj7AOvo4Kkw+zTxzjB+KT+npiMVdZISNQ2S9FCjR0UFVEUUV5eTt25YkVylrqdISpL640dMfbsoHptiDQoUWILtN4HtVF1m2ZPh4eYpX/o9rMRoQQkdbGKsUNvzw7J2OFkJa+FwICozYH3SJN6LzEBbPjDC8XgaGF8EGLggt4YlbUeZEAa/HP+AUoBMHKQ0uasca908kiDdF8YW7ph22xC0/5kAMAws7SUJdli0m3pij+JqFtCCA7Lxo6eJf8HyBNcVO4Bti+Uvvc6H/jlBWD583HKJQBT/TIWjy82y1ia0q2HF2Bl5HGFgWJ2AIDASM9jASzMvrompMPjxy6PoJd7Lta0u1KX9OJBIrZZSkOosYOiwemkb2FjBsNotp8dLG8/W3zQAV+MB/hUr1rcHv/YAilNSBsbI+o2PdmKSkiTadDtZyOCFSRjhMskLXPTeytFixyY18XJ+tExJojXLU2EvExka7gtSfUTA3/vkJbAUXVc7Qtg0waqZOW31awn+mUsVU4v7LJnh7KdrRHbbELTQTJ25NdtBiDpJFYkmm6P1XnhFUQwDJBqDXj73fNc4J6/gdrDwPJnATaOb8c5aVc1K7wx8ewAmtat129nK2uSsYwdPCvlRwAHm1iny7INt4/AA0tEO28ZkURrs5SGUGMHRYVlWXTu3BlsBG/kKBGixO2o3IOubVKRlmSCixew7YhO0bGDQPXaEK+n/uHGmVvv1rNG1W1GshmVRJqsC3XUsyMSlN1XPCbJq8CkcxwLs7ym3CsbU6CrZ4ds7IA5oussfnFzvO6WHXjWOaR15x5YgICdmUzJknHCJtbBzUc3gfL37EBSumHbbELTYRgAoE1VMRiIcLhis1wqEXWreHXkpFrBjZiiPbltAbBxPrByDjD6EeCM6XHIoYxJNnYwPNwxiNkRjm79DbWMwZZ2eFnp/ghgkQInnN7mG4SUPtFqar31PRHbLKUhVLsUFVEUcfjwYerOFUuy6oOUsiyDgR0yAMQ2bgfVa0O8Lr+3x1zrNXYYVbfpNjMqieQ54JInk5Tw4ERpcsGbY+vZoaTP6OjZ4ZO3zeUj9Owwma0Q5YCpLe3Z4XJUAACcnL1hvpIzAAB2xonKKL0BHC4/zw6r3bBtNqFp2w/grDDz1biJW4CCmnWAqP/b/0TU7SFlJ5b0JMArx3pgZA+Ovaskj454GzoAdRmLFLMjNstYmtKt4tkGAOCMtUOJIBs7CBikwYVqd/MNfqMPvoM55jfQwb292WnFi0Rss5SGUGMHRYPX2/LR8E8olCClx/cAgBq3Y9Hmw/huw0EU7ToGIQZ7xFO9alHeQPvAAZwpzrlpHkbUrZljUc1Kk0ePozzOuWldKAFJleCYZh09OwghsMqeHYJF0g8j6GfsEGQ37kiNHWAYeCG1Q82EoQXw1kjGOJc5vWG25GUnaXCiyhnd5EDr2SHdcyO22YRm2wIA0nP1UfN/Mcf1KPDKSUDJ97r/VKLp9nC11Kbz0m2AV67HtkyogUo5S/wNHUC9Zwf4mC1jaUq39Z5tkcUsagl8nGQMEsEglXGh2uVrdpq9an7HxdwqpItVzU4rniRam6U0xFitkRJXWJZFp06dqDtXLPFbxgJANWz8sr0C0z7dgCvf+x2nzlqGhX+X6faTVK8NUd4eeyJ0tzcaRtat05QBAPDWVMQ3I60MNSCpPDFWtjLUA69PQJIcQE8xprA6Gjt88mQoYmMH6uN8KN4hLYVQKy2z4i0ZDU/KOkhrhmdHld9uLMoyFqO22YSk5Hvg8+sAQas/Ul0mHdfR4JGIuj1UJW87m54EeOXAliIPgACsWbqvv7wQvwwqmPxidkS55KwxwtGtzysbew04rhC4+hgidjh18ezIMEsGk4652U1IGpdEbLOUhlDtUlREUcTBgwepO1csUZaxVO3Dz5v2461fdjUQOexw4/ZP1ulm8KB6bQivDkqM5WoaKUbWrUd+U05jdkSGumxF9iqw6ujZ4fbzmlC8FvQ0dghyu/KxkS8NU+J8+Af5awmIHEBXsGY2PCnfIzuccETp2VHl9MIO7TIWo7bZhEMUgIUzoHh1+MMoxxb+U7clLYmo28MOqc/Iz/BbxuJ2SEtXHq+Q/i5/Nv4GD9nYwTEkJm/qw9GtYuyINEBzS5DVZTB2phciBW6kwoUaV/P7/TROMnb06ZTb7LTiRSK2WUpDqLGDQmlJ0vKlGBGiD+/+79egIsqw7MkfSmKypIXSvDfQlPDglckj3Xo2IpSApCZ5JxALeF0i5wPa4J+MstOIjjFBBF5eHsZG3q54eWvElvbsYFyVAABiC2LskLcKl2J2RGfsqK2tg5WRXcaTGi6VocSQvauB6kONCBCg+qAkRwnKIYfi2WED1n8iHbS3r1+6csZ0Yxg8TPWeC74Wjvuj/q5XWR5rPM+OYROnofud36AjWwGWIXDW6BAUn5efJ+bkxuUolDjTuherU3SFZVm0b98+3tlIbFgWyOwMVGyDrXY/gIygYgRAmcONP/ccR2G35rkIUr02RI0tEMWkzEgYWbdiUhbgAFgX3Xo2EpQYHeY0qd1b4YVPEGE2NX9bRyUehkAYwKoEQNXPk0KU32wKUXh28IwFIIDQwsYOs1cydrApQfpZP8+OKld0RiFvnVT/CRgwllRDt9mEo/aIvnJNkIi6VXZjyU9Pqt+5qU0PrZBi+IhB0New8Qs0zvP6e4eFo1vFs82wL1FMSRDAgYMAd11ls5MTeRdYAF7G2mp9ZBOxzVIaQj07KCqiKGLfvn3UnSvWyEtZOjOHmxQtr2n+Q5vqtSGqu71RByVhYmTdkuQsAIDJ0/xB1YmEYuywpGQAkNyy3R59lprw8pbLXsYC1iJtjcjp6NlBZM8OMYqdCJS22NLGDivvAACY09o0PKkEKGWiD1AquqT0BXMqwLKGbrMJR2pbfeWaINF0K4pENXa0S08Cup0lnbCkNhQ+Yzow+qEWzF0ALAuf/P42Fn1IOLoVeGUZn/E8OxxOHnuOOXGAaQcA8NRWNS9BQgC5v19fpt9SyJYm0dosJTjU2EHRYLG07slfq0DekaUT0/QuFblpSU3KhAPVqxZlMCQYcFASKUbVLSe/Kbd6HXHOSetCidGRlFq/rEKv7Vi96m4BZphkY4eeW9sSeRvbaDw7lKUvAt+yA+dkn1Q/rY0YO+xwoirKAKWCbOxQAsICxm2zCUfBSMCeD3XnkAYw0pKMgpG6/WQi6fa40wuvIIJhgLZ2vwCllpT4ZiwEah8So2UsTelWNXYY8CXK8i9fR/7/dYJXlKZ9Pmczn8s+D1h50bU5qXUvY0mkNksJDjV2UFRYlkW7du1oVOJYI+/I0stytLEhGPLSk3BKl6xm/xzVa0PqByWRT8qMhJF1q7wpt/mq4puRVgQhBBZIHgSWtPplFf6xNpqDspbdy1jAWSRDqq5b28rtinCRtytB8eyIgQt6KNy8gDQirV1PzshpKCDH7EiFC1V10RlhGI88qZB3djFym004WA44b5b8j/ZpS5T/z/uXJKfHzyWYbsvknVhyUq0wc2x9jAajGjti2IeEo9v6ZXzGmzxzJjOsjA8sI3kwCO5mGjtMVpxhno/B7rdhSW69sYgSrc1SgkO1S1ERRRGlpaXUnSvWyJ4dQ1KDu/crQ7KZF/QFx4Yyh4QP1WtDFHd7IQp3eyNhZN1a7VKEdgvxAF59JuuJjscnwiobO0yWJHiI5Hnk0dnYwcOienboaexQ1vQTU/SeHWILLmOpcvLIhLTDRHJ6EGOHYqBgCNx1kU8OXF4BSYL0NpyTA8Iauc0mJH0nAJM+Aux5msO11lzpeN8Juv1Uoum2TN6JJS9D6ivU3ViMauyQPcpi4R0Wjm5F1bPNeOMKxiJ5X5gg5Z+4qpuZIAOHYEIl7LCa9TEWxoNEa7OU4FBjB0VDcnLrdkdrFcgxO9KcB/DW1YPR1q6dGLRLT8Jb1wzBeSflBbs6KqhetSiDEjEKd3ujYVTdpqSlw0vkQRANUhoWHl6AFXLMjqRkeJUdSnTajrV+a1gLzNZYGDukdhWVZ4fcFpWlMC3B8TovMhhpAsckBwlQakqCKE9conH7rnJ5YWckQxVrs6vHjdpmE5a+E4B7/gbyhwIA3vJdgDcGfK2roUMhkXRbJsfryLPLy2mVZSxmYxo7RHlZqsjHxmDalG6J3L+KBjR2sGZ52SKkILLE0/zdWDy8ZCBIasXGDiCx2iwlONTYQVFhWRa5ubnUnSvWpHcEGBbwuXBeAYNVM86CSfbgeO3KQVg54yxdDR1Urw1R3O3FKCZlRsLIus1ItqAS0o4fdPvZ8PB4POAYaR20NSkFXjnGPe+p0yV9wW/LZZNs7LDoaewQZKOMKfJYQ0T2siItGLOjqqYWaYw8MUoOsmSQYSBapDqsxN6IhMo6HmmQ7jmTlAHA2G02oWE5ID0fAHCQtEGlS/83uYmmW9XYkRFg7DCoZ4dqMPXq34eEo1vRZ9xxBSPrzAxpG2zW0zzPDlK5F0/jDcwwzYfV3Hrre6K1WUpwqHYpKoIgYNeuXRCEOG4fdiJgskgGDwCo3AMTx0rBvwB0zEzWZemKP1SvDVHeHhtxUBIJRtZtRrIFlUQxdlDPjnDwD0QqchZ4ERvPDoG1wGyV3mYpMUL0gFW8MqJYxqJOVFowZkdt1VEAgAhGDUbaAPk463GAEBJR+v6eHcqSGCO32YTHLNX5JHjhcOlX7xUSTbfqMpb01mHsUJ7nxKd/HxKWblWPUeN5dnCKJ59s7OD42malxzvKcCn3K8axv8Oqw7bo8SLR2iwlONTYQVFhGAYZGRlgGH0n25QgyEtZcHwPACAnTXpIl9fo/0aC6jUIzQikaCSMrNuMZLNq7BDrqGdHOPgHImVMSWocC59OMU8U926BtcKSJA1+reDhE/R5y80IirHDFvG1qmeH0HKeHa5qydjhZNNCBqlkbZKxwybWoc4b2YC4ylnv2aEEOzVym014ZI+jJHhR5dLRo0km0XSrenakB8bsCLL1rAFQtryOxVK4sHSrLOOLwtgba0wWrXHb7GuesUMZQ1ltKbC14mUsidZmKcGhxg6KCsuyyM7Opu5cLUGmYuzYDQDIjaGxg+q1IfWTMuO9gYkEI+s23WbGcUiDYk9NRZxz0zrgPdLE2AMzWI6rD7jn1edNpeJm7WOtsMieHVaGh4f36ZI+J7crxhzNMhaprEwM3sqGwlst1Uu3yR5ShrFFv/1slZNHmurZIXuIGLjNJjyyZ4eN8aDKqb9nR6LptrV5dqgvL2LQh4SlW0GJWWS8cUV+u7bYkzoE5TYpQL5FqIvYU80fC5HK2jY7ExZT663vidZmKcGh2qWoCIKAHTt2UHeulkDekQWVWs+OozEwdlC9NkSZUBEu8kmZkTCybpPMHGoYaRLpld+gUxpH8ezwwgxBEOAlJgCAoNMOJcrWiCJnhTWpPiibx61P+qwo9V+sJQpjh/I2tAUDlPpqJY8jryUjpAwje2SkMc6IJ8iVTi/saLiMxahtNuExK54dfMyWsSSKbkWR4LAas0Px7Ggtxo44jaPUAM3GG1f07t4dXR5YjrzTrgcApJA6eHzN8OhTtiGOwovPSCRSm6WEhho7KCosyyInJ4daOFuCgGUsuWnSw/FoTWzeSFC9BqC+gTaeu2kkGF23LlMGAICnnh1h4ZONETxjAcuy6hp0Qa84FmoAPQtYS/0g1evRZ5kMJ0qeD2xzPDsE/ZcXhPxNOZaMLykztJBspEhD5MYOh4v3i9lR79lh5Dab0MgTMxs8MTF2JJJuj9V5wQsEDFPveVpv7DDmMhYlVlAsvMPC0a3iMcoY2GPUkpIBAEiFC9Xu6NuAso25z4CGnUhIpDZLCQ3VLkWFrl1rQQKWsagxO6ppzI6WgFUHJa37QW103Xot0gSPxuwID5+nfrcUhmEgcNLkTK+gncT/zSNrgkCkeuPVybPDpHh2RGHsYJSJSgvG7GBdldIXW2PGjgwAgJ1xojLCZSyVdX6eHTRmR/yRt9+0Ml44vQI8Pn3f5iaSbpUlLLlpVpg5eapgcM8OJSZLLAym4ehW/V0DxuzwCSLKq90o80lxtNIYJ6pd0S9fPHJMMhSvLNVnp7B4kUhtlhIaauygqAiCgK1bt1J3rpZA8exwVwHO4+qbk6O1sXG/pHrVwspvoFu7scPouuWt0iSScVFjRzgonh0+xgJBEOAh0iNa1MnYUb98ywowDLyMsrWtPp4dJrldmSxRuDbLBhK2BY0dJo9k7GCSs0MLyUYKO5yoitAboMrVMGaH0dtsQmNWPDukeqq3d0ci6VYJTtou3a8tq8aO5CBXxB/VYCrGZxyl9l0GHFfsPFoL/qW+yP5BWsaS1kzPDlFeWsmzxjPsREIitVlKaKixg6LCsizy8/OpO1dLYEkBUttK3yv3INceO88OqteGcPIbGCaK2AJGwui6JbYsAADrroxzTloHgt8AkmVZMPLkDLotY9HuFqBsbct7dPLsIFK74qJoV4rhkWtBY4eVdwAAzKmNGDtkI4WdcaKqLtIApd763Vj8lrEYuc0mNHIdS+OkSZ5D5yCliaTbsiqpT8hXgpOKAuCT+wnDLmORDaYxiNkRjm6VlyisAT07kkwckuBFkmzoS2NcqG6GsW9ft6twsvstvJt8q15ZjAuJ1GYpoaHapagwDAO73U7duVoKJUjp8T3qMpaKWg9EMfoI2cGgem2IGkjRgG9gIsHwupXfmFs81NgRDooHh8BKy1igGjv0MUaoa9nles/Lnh0+jz7GFDNRPDsif/OrxM9RJgyxhhACm08ydljtbUIL+sfsiHBy4KjzIA2y7vyWsRi6zSYycntKYSX3fb09OxJJt2XVimdHwE4sgGGXsbAWqQ/hYtCHhKNb5XeNGAssyczBjfpYImlwotod/TIWNzGhAunwWhtZAtgKSKQ2SwkNNXZQVARBwObNm6k7V0uhxO2o3IM2qVYwDOATScTrwpuC6rUhirt9NG+gjYTRdWtKlSaRVr4qvhlpJSiuwQJrhSAIcPGy4VMnb4d6N2tpMM7rvIxFNXZYI29XiuExFhOVYLh4AXbUAACSM3JDC/p5dkTaN3ucNWAZoknH6G02oZGNHcmsZOTQe/vZRNJtWZVk7MhXlrEoxg6GNeQyDcDPOywGfUg4uq0P0Gy8HUqsJhZuIhu3CQMb40WtM/p+382LcrqcLvmLF4nUZimhocYOigrLsujcuTN152op/HZkMXMsspKlB1G5ztvPUr02JFGMHUbXrdkue3aIbt28ExKZes8OaRmL2SYFk4NOuwuouwWYtZ4deu32YiHS5NFsjfzNr7JdLReD9fbBOF7nRSZqAQCWtKZjdqTBGdGyB0IIiLtK+s5Z6mOSGLzNJjSKsYOR+v9IPXWaIpF0W7/tbIBnhyUVMOhbcE6OFRSLPiQc3dYbO4zp2eGClC8fpC3N3bWOqNPL3f0NnjDNxRBhgx7ZixuJ1GYpoaHapagwDIOUlBTqztVS+C1jAep3ZDmqs7GD6rUhyhtozoBvYCLB6LpNTs0CT+Q3P/I2n5TQKLuuEE5axsJZpeUgjE5r0JVJgBILxMdKxg7Rq49nh1VeD25OirxdKYZHjui/JWgwKut4ZDCSZ0ejAUqVZSwRenbUeQXYRHmCaE1Xjxu9zSY08tazStyCKp29KBNJt4fk3VjylGUsvMF3YkG9kcEUo2UsTem2OTGLYo3VxKrLWFyM1A68ddEbO7KPFuEG0yJ08+3WJX/xIpHaLCU01NhBUREEAcXFxdSdq6XwW8YC+G0/q7Oxg+q1IeqgJAp3eyNhdN1mpFhQBTmYnYsaO5qCyB4cIpcEQRBQK0fL12s7ViUwr7I1rE+OpK/sAtMcfIJYb+ywRmHskF3QzS20jOV4nQcZkCdwciDdoCjLWCKM2VHl9Nt2VjaYAMZvswmNXO+tkNpTcwI0BiNRdCuKBEfkmB15gctYDGzsUF5eKM93PQlHt6rHaBRbb8calmXgkT07PLKxw+esijo9uxzkt0NuI31nKyBR2iylcaixg6LCsiy6d+9O3blaCmUZS00Z4HUiN016QJbX6LTzggzVa0PMiru9QbfQCxej6zbDZsZxIi/FcNLtZ5tE2RrWZAHLsrDZpYGkbsYOJTCvPBgXZGMH0WGJkYcXkMRI7cqaFHm7UuJ8xGKiEowax3GYGXmAm9zIgF1exmJjvKitC98DpspZv+0s42fsMHqbTWjMUr20EKkdxGIZSyLotqLOA14gYBkgV34Joxo7zMZ9ZioeFSbC6x7oPRzdmuRxhRE9OwAAbfthT8ogdTcuwVUddVJtrFLfWdi7oy5ZixeJ0mYpjUO1S1FhGAY2m426c7UUtkz1rSEqS2O6jIXqVYtZdbc36KAkTIyu2/RkMyqhGDuoZ0eTKFvDcpJOldgXegXcq3ezlt7sCeoylub3OR6/HV0sUXh2KDu4mFtoGYur6igAwMtY63e9CYa13lAhuhxhT6KqnHyDbWcB47fZhCbAe0jvAKWJolslXkduWhJMnDxN8ErxbQy77SwAk9zvWMHDK4i6ph2Obi1QdqMy5vLYUVPfQZcHf4ElWerTiDv6ZSxqDK4EWAqcCG2W0jhxNXY88cQTYBhG8+ndu7d63u12Y+rUqcjOzkZqaiouueQSHDlyRJPGvn37MG7cOCQnJyM3NxcPPvggfD7tdkorVqzAkCFDYLVa0b17d8ydO7dBXt544w107twZSUlJGD58OP7880/N+XDy0toRBAEbNmyg7lwtBcNolrLkxnAZC9VrPYJIYEVieHYYXbfpNjMqiTQ4JtSzo0nqt4aVdmM5Xi29TWV18uwIDMwrclKfI/p08Oxw13s9RLMbgUnOk2KIjDWemgoAgMuU3rggZwKRJ3gpcKLGE952jZVOL+yyZ4e/wcTobTahUZY5iG4ARHfPjkTR7aGqgG1ngVaxjEXpQ6zg4fHpa+wIR7f1HqPGNgAQpT/y1ESdhhLnSeRa9wujRGmzlMaJu2dHv379UFZWpn5Wrlypnrv33nvxww8/4IsvvsAvv/yCQ4cOYeLEiep5QRAwbtw4eL1erF69Gh9++CHmzp2Lxx9/XJXZs2cPxo0bh9GjR2PDhg245557cPPNN+Pnn39WZT777DPcd999mDlzJtatW4eBAwfi3HPPRXl5edh5SQRYlkXfvn2pO1dLou7Ishu5dtmzo1r/3VioXuvx+poXW8BIGF23GckWVMrLWHzy5JISGsZva1iWZZGVmwcgdp4dirEDfPP7HK9HMpiIYADOHHne5GUslhby7PDVSvXRa2nC2AGA8YvbEe6OLFWu4J4dRm+zCY2fEc4KHg6dA5Qmim4Py8FJ8zNal7FDiZVhZbzw+PSdvDalW0IILMpLFIPGAnN6fThW6wEv93msN3pjR3ml5BXy5abW/RIjUdospXHirl2TyYR27dqpnzZt2gAAHA4H3n//fbz88ss466yzMHToUHzwwQdYvXo1fv/9dwDAokWLUFJSgk8++QSDBg3CP/7xDzz99NN444034PVKD7G3334bXbp0wUsvvYQ+ffrgzjvvxKWXXoo5c+aoeXj55Zdxyy23YPLkyejbty/efvttJCcn4z//+U/YeUkUOK5175nd6vDbkSUnVTZ21Oq/bRrVaz1uXlA9OywGHZREgpF1m2Lh4GAkY4eXGjuahA3YGlZxyzaLem0NK6WvGPmIYuzQYbcX3iNN7L0wR7U1pVneeUaZMMQaIi+r8lkzmxa2Rr4jS1Wdn2dHktagYuQ2m9CY6o0dSfDCobNnB5AYui2Tl7G0s/u9DGgFy1iUftMCHzy8vp4dQOO65QU/Y4dBPTu+mHMvxNndUVMpLeFrjrHDJMjPpFbuHQskRpulNE7cjR07duxAfn4+unbtiquvvhr79u0DAKxduxY8z2PMmDGqbO/evdGpUycUFRUBAIqKitC/f3+0bdtWlTn33HNRXV2NzZs3qzL+aSgyShperxdr167VyLAsizFjxqgy4eQlGB6PB9XV1ZoPAIiiqP5t6rsgCJrvhJCIvxNCGnwH0OA7z/NqVOJgMqIoar5HUo54lamp73Evk7yMhVTuqd+Npdqta5l8Ph+Ki4vh8/mongQBLg+vBlJUYxe00jKJoohNmzapS/eMpidCCNzmDAAAX3M0Ij0lYt1rqkz1xg4beJ7H0WPS2zMT8epSJmUwzpml3V7qjR2uZpfJ45Te/HphiUpPZouUFyt4CIIYcz0puwMRW1bTelK2n4Vk7AinTJVOj7obiyhPEMN5zhrq+RRET62pPTX4znIAK3kd2eBBlZPXtUyB/XFr1VO9scOi5pF4JGMHsSQbt0xyDCIreLi8fEg9RaMbn8+HTZs2aXTtn0ePz+8lSpLNkO0pmeWRw1SDY6TjFl9t1Hp6tdOrOMPzMmoy+rTqPoLneY1eleOUxCKuxo7hw4dj7ty5WLhwId566y3s2bMHp512GmpqanD48GFYLBZkZGRormnbti0OHz4MADh8+LDG0KGcV841JlNdXQ2Xy4WKigoIghBUxj+NpvISjOeffx7p6enqp2NHKWrxwYMHAUBdugMABw4cUJfN7Nu3DxUV0lvQ0tJSVFZWAgB2794Nh0Ma/O7YsQM1NZJVduvWrXA6pUFVSUkJ3G7pQVVcXAye5yGKIoqLiyGKojrQAqQ4JCUlJQAAp9OJHTt2oH///qirq8OOHTsASF4tu3dL+2hXVlaitLQUAFBRUaEapsrLy3HgwAFDlmnr1q0AgJqaGmOWSfHsOLYb2SnSIKzOK6Cq1qVbmQ4cOID+/fur3090PR09Wr88zeH0tOoysSyL1NRUVTdG1JPXkgEA8FQdjkhPiVj3mioTkddBs2Yrtm7dirb5HQAAnODRpUwWeRmL2+uTyiQHbORdtc0uU9kB6b54GUtUelLW27MMgdfribmeWDmGDJOc1bSelGUsjBMOFx9WmfYcLFd3Yzl0vE7V09atW9G/f3/1u55lou0pjDLJS1mSGC8cbh4b5YmOHmViWRZ5eXlqOVqrnsrkZSycHNOhoqICNcekGHV1PGPYMu09IOXFCi927CoNqSelTJHUvQMHDiAvLw8sywYtk5cXYIFk5DJbbYZsTwIne/TJBoAk0YmyI+VR6Wl3NYu9pB3MSSmtuo/YsWMHunXrBpZlNXqiJBjEQFRWVhK73U7+/e9/k//+97/EYrE0kBk2bBiZPn06IYSQW265hYwdO1Zzvq6ujgAgP/30EyGEkB49epDnnntOI/Pjjz8SAMTpdJKDBw8SAGT16tUamQcffJCccsophBASVl6C4Xa7icPhUD/79+8nAEhlZSUhhBBBEIggCI1+9/l8mu+iKEb8XRTFBt8JIQ2+8zxPPB4PEQQhqIz/8XDyboQyNfU97mVyHCRkpp2IMzOIuH4+ue6xF0mXGd+T3eU1upXJ5/MRj8ejyeOJrKdte/YRMtMu3Xevq1WXSRRF4nQ61XSMqKdn5swhZKadVM0pjEhPiVj3mirT6mfGEjLTTrb88CrheZ5sL/qRkJl2smdm72aXyecTSM3juYTMtJOje7cQn89H1v7nXkJm2smvr1zf7DKt/W0hITPt5NCTPaPSk9dVq7bLyuMVMdfTZ09MImSmnZR/+0jTevriRkJm2slTD99BPli5O6wyTf7PH2TFo6cSMtNOhLUfq/lt6jlrqOdTED21pvYU9PsL3QmZaSfn/fMNUjDjf+RYjUu3MomiSFwuV9TlM4qeRv1rKSmY8T/y5+6jah7Fb6dKdXnFC8Yt04H1hMy0k8OPdyJrdleE1FO0unG5XGp6gWU6WFGl9l/EedyQ7em/rz5EyEw7KZ19BiEz7eTrR/9Byh3OqPR0w3/+IAUz/kc+/XNvq+4jeJ4nbrdb/f2qqioCgDgcDkJJHOK+jMWfjIwM9OzZEzt37kS7du3g9XpRVVWlkTly5AjatWsHAGjXrl2DHVGU/5uSsdvtsNlsaNOmDTiOCyrjn0ZTeQmG1WqF3W7XfACogXBYlm3yO8dxmu/K9kiRfGcYpsF3AA2+MwyDkpISEEKCyrAsq/keSTniVaamvse9TPvXSHmCCObb2/Ah+xRWWu+Gb/P3upUJgGpVp3riwPsFY2Tk/eZba5lEUcS2bdvU8hhRT8SWBQAweSoj0lMi1r2mymSSY2pwFmkrvCMVkveBGXyzy8T77UJkS06RjstvuVnB2+wyCbz0RoxnLFHpSYnZAUjBTmOpJ0IIbD7pLZ/V3qZpPfl5dlS5+LDKVOXiVc8ONjlTzW9Tz1lDPZ+C6Kk1taeg3+U6n26S3sLXekTdyiSKovrWurXqiWFYHKmW2nL7zBQ1j4wcoJS1phq3THL8CCt4KCE79Kp7gOTZIIpi0DJ5/bbehinJkO2JyJ58DKSbkwoXar1i5HoSBVx+7A1MN32KZJaPa5ka+x5OmRiGwZYtW1S9KscpiYWhjB21tbXYtWsX8vLyMHToUJjNZixdulQ9v23bNuzbtw+FhYUAgMLCQhQXF2t2TVm8eDHsdjv69u2ryvinocgoaVgsFgwdOlQjI4oili5dqsqEk5dEgOM4DBo0SO1kKDGm5Hvgi+sbHG6H4+i+4g7pvA5QvWrxybtGeGCJKpCikWgNumVTJGOH2VsV34y0AszyriusxQaO49C9l/QcU5afNAePxwszI62DtiRJkwJGHvzqsbWtYuzwyevmI4Zh4CUmAADvbv5WuI1R7fYhHdLSnSR7TtMX+MXsqIpgNxYlZof/1rOtoc0mNLKxIztJmuRVufTbkSURdFtR5wEvELAMkCvHEQPQKnZjgfzywgKf7ruxNKVbZVwhCVuDysQbIgfoZYlk6LMzTtS4owjSy7twXu23uMP0PaycoaaREZMIbZbSNHGtpQ888AB++eUXlJaWYvXq1bj44ovBcRyuvPJKpKen46abbsJ9992H5cuXY+3atZg8eTIKCwsxYsQIAMDYsWPRt29fXHvttdi4cSN+/vlnPProo5g6dSqsVqmzmTJlCnbv3o3p06dj69atePPNN/H555/j3nvvVfNx33334b333sOHH36ILVu24Pbbb0ddXR0mT54MAGHlJREghMDlctEAPS2BKAALZwBoeK9ZZf698J+SXDOhetXCy29gvEzk22MajdagWy5FmkxaBKcuu34kMsrWsCZLkhTkDdIAzAq+2Tp2y7ulKOkDACvvXsCJzdeL6JXalRCtsQOAR26TPq+zCcnmUVnnRSYjrdm2pLVp+gJ/z45wd2Nx1nt2+O/G0hrabEIjG/iyLdKzNVzjVTgkgm7LqqR2nJuWBJP/RLYVGTus8MLD62vsaEq3vFcydvAwAaxBDQCKJ58o1fk0uFDt8kWeDl9v2GmX3fTW3UYmEdospWni2iIPHDiAK6+8Er169cKkSZOQnZ2N33//HTk50uB4zpw5GD9+PC655BKcfvrpaNeuHb7++mv1eo7j8L///Q8cx6GwsBDXXHMNrrvuOjz11FOqTJcuXfDjjz9i8eLFGDhwIF566SX8+9//xrnnnqvKXH755XjxxRfx+OOPY9CgQdiwYQMWLlyoCVraVF4SAVEUsXPnzvpo9ZTYsXc1UH0o5GkGBKg+KMk1E6pXLYI8keIR/aTMKLQG3drSMuFTVkzK231SgmNWjB1WaccDJXicFTy8QvN0zLvqB6iqR4ds7GB1MHYI8gBYYKN/q6m0Sa8ntkax404vMhl5K015mVWjWOs9OyrDmByLIkGV04s0yPc8ye53zvhtNqExS15NmYqxQ8ftZxNBt8pOLHkZAduyt4KtZxVjB8cQeHn9PHaApnXLe/yMHQalfX4HHLD2AEnvBABIhRPV0Xh2yLt3wZSEAR3D6D8NTCK0WUrTxLVVfvrpp42eT0pKwhtvvIE33ngjpExBQQF++umnRtM588wzsX79+kZl7rzzTtx5553Nyktrh+M49O/fP97ZODGoPdK0TCRyjUD1qkXx7PAlgGdHa9BtRooFlUhFDqoB5zHAnhfvLBkWC/ECjOR5wXEcTuo/CFgCWBke1bwAqyl6V1uvRzHycTCz8npo2cPDJDZ/YkB4xbOjGcYOxgwQwOeN7TKWyjovesrLWJAcxmBd9sxIgzOsyXGNxweW+JDMyEabgGUsRm+zCY1s4MswS8YOh47GjkTQrbITS156oLGjNXh21OdZs6xEB5rSrU/1GLUgOaRUfBl97kXAuRcB5VuBN5cgjXGhOpr6r3h2yJ4irZlEaLOUpjGorxUlHhBCUFdXR925WoLUtk3LRCLXCFSvWpQ30FHHFjAQrUG36TYzKkma9I+LenaEghACsxxA1JKUDEKIxpvD7aprVvpKHAyvn0cTZ5EGq3oaO0Qu+nbFM9K1MTd21NQhlZEDCtoym74gwmUsDiePNPgtxfEzdrSGNpvQyJ4dSoBSR5jLksIhEXR7WPHsSA+YyLYGY4dfrAyfV98tRJvSrTquaA0vUWRPs1S4UB1NzBpe6tuUGCCtmURos5SmocYOioooiigtLaXuXC1BwUjAng8geIBMEQDs7SW5ZkL1qkWJLeBrxhtoo9AadJuRbEElZGOH81h8M2NgPD4RVkgDT3OStIxl78F6zy5vM4N28vLyLa2xQ/bs0CEAquhTjB3N8eyQ8iboPFEJxOWQlgeJYIGkjKYvsEYWoLTS6YVdiddhSQW4eifa1tBmExr57b9dNnboGbMjEXR7SDV2BHh28Iqxw8DLWFgWPtlhXW9jR1O6VX7Pxxj3JQohBG5egIuRDH5mRoDLGYURXTZslzpE7KlonhE+3iRCm6U0TdjLWCZOnBiWXKLFsTiR4DgO/fr1i3c2TgxYDjhvFvD5dZAMHvVWZZHIh877lyTXTKhetQh88wMpGoXWoNsMmxllhBo7mkIydsieHdZkSbcnDYDwFQMORF0THi2CEkDP782jSfHs0MHYoQSfJVxSE4KhEeS8KW00VniqpXro5tKQHE4wQT/Pjmo3D0Ek4NjQOzlVufw8O5K0AfxaQ5tNaORlLKmc1Nb0jNmRCLo9rC5j8XtrT0i9Z4fZqIs0JHysBSbRp/Z3etGUbgWv8ZfHfr7sD4z45VokW01IAgMGBN66qsgTkj07XLAiw9S635knQpulNE3YtTQ9PT2sD6X1QghBdXU1dedqKfpOACZ91CCGwWFk4w7+Hvh6jdflZ6hetegRW8AotAbdZiSbUUnkt4HOyvhmxsB4eAFJimeHVdqNpbqmRvXE8Lqbt0OJYizx+tV7xdhhIc0PCMrI7ao5xg5laZkYY88OX20FAMBjCXPM4rf1LCGkyXXuVf6eHX5LWIDW0WYTGnmynspKOtQzZkci6PaQvBtLO3/PDsELiPKuHUZexgL/PkRfY0dTuq3fetu44wqz2YICthzZfBm8nNQOeKcj4nSEjiMw2vMSpvJ3w9rKjR2J0GYpTRO2Z8cHH3wQy3xQDIAoijh06BB69OhB95xuKfpOAHqPA94YDhzbAfHMh3HGon7gRQYVtV7tgCNKqF61iDrEFjAKrUG3Gbb6ZSy+uqMGjlUfXzxeHhZGCprImGwQZN3mwQwbPM12yxaCuFmbk6QBr4U0f8LHCLKxwxT9YF+ZKOg9UQlElHcF8lnDiNcBqN4ZJkZEMjyodHqRmRK6/6jyj9mRpDV2tIY2m9DIy1iSFWOHzstYWrNuRZHgSLXUjvP9d2Px+i1VMLixQ3mJIei8zXlTuq1/iWJczw6TVervWRD4TGmwCnUQXJEbO7xMEvYQ6SVdkrn11XN/WnubpYRHs01ye/fuRUlJCV3vlABwHIfevXvTBt/SsBzQVnKjY61pyEqVBhlHa/R5WFO9alEDKRr4DUy4tAbdpiWZUAXJs8NXQ5exhMLjH5PDZFV162WkeurzNs+zQ1S3hvUzdlhlzw54m/1mi1EmF80wdojyREHUeaISCCsbO0hSmMYOczLASG0snB1ZNDE7gixjMXqbTWjkHSRsjORFVRVNgMYQtHbdVtR64BMJWAbISfVrx8q2s5wV4Iw7mQfq+xCi81K4pnQr8lKfZWSPUcW4DQCiRf7uro44Hff/s/fl8XJUdfantu5+W7+XfYOQsBMChEUgjiwKGoQBHVFxGxbFhQFlUUBGIQPiIDoCo4PgAiIDjqKiAvILsggKAVliNGSBsISQ5eUleXsvtf/+uPdWV/er7q7qrn6vbr06n08+r193defWO3Wrq8493/PVTecx784O3udsAn/wfZTeeeeduOmmm8qe+9znPoe9994bhxxyCBYvXoy333479AEmGD/Yto3BwcHEzjURmLIX+Tn4FmZ2EbGjbyScL+uE1wo42QLRvSjxCx64FUUBRaUHAGDS8oEEY1GWySFnHG6dDiVqSM4O18W4Qlf60tBhWM0dQ6JJ5pWgNO5GYwJk2DcqlZBUUk4ldEzz9wZBKLWf9dGRZTCvI4vqZSxRn7OxBhU7WMlYmAGlvHO7nYaTzspmIEuu2wMeOrFQmC06h9Tj1mYBzRHOAkul0tBtclNvK5RLdSTw51hvPYsvy/fh/dKL5ccJh+B9zibwB99H6Y9+9CNMmVJaBVmxYgV++tOf4u6778YLL7yAnp4eXHvttS0ZZILxgWVZ2LlzZ+LSmQj0zCc/BzdjRhf5su4LydmR8FoBZrePgdjBC7d6in535JPWs9WgqeTm2IQISLLDreF0KGnW2TE2mDeVITd+aehQjeaOIdGiYofcREApnZN2i50dKW0QACB1+hQ7AKccJeujI8tgXkNXFWcHL3M2tpDZMc+cHeGWsfDM7XYaTjqmfFbjoBMLBesGZevhl7HU4tYytLL/P4rIKBIKNANKpKKfqAV3dghb/oovyr/DMvmlUMc3EeB9zibwB9/l0xs3bsRRRx3l/P773/8eH/jAB/DJT34SAPCf//mfOO+888IfYYJxgyRJ2G+//SZ6GJMTPczZsRkzZ5IvyzDLWBJeXaAXQc1kC0QFvHBrtk0FVEAoJmJHNTBnh4o02lHi9g0xBZjNdyjxKt9KU1uzLFgoqio6040nqogmudhvxtlhsxwdo3XODtOy0WYOAxKQ7pru/43UoZEV8hioJ3YUXM6OiswOXuZsbEFv8lIWOcY0w0JRN0PJHuCdWxZOOtfdiQXgytlhO4Jp+GUsNbml/58dYWdHRhGhIgWgAJG6+iQ9eOtYmQrb03r4b0rB+5xN4A++nR2FQgHZbOlLe+XKlTj++OOd3/fee2/09vaGO7oE4wrLsrB79+5E4ZwIMGfHwFuY2Um+LMMqY0l4LYdgNp8tEBVww23bVACAoibdWKrBUMtbwzJumRPDarL1rE0zO9wrj24XhlZs7vMlegEspZoRO+jYWujsGCromAKSQZDJBhA7WPtZ5DFUp4xlwB1Qmh4bUMrFnI0rqNghWarTPjisUhbeue2l4aRzqjo7+BE7YIbv7KjJLVtEiXDw+bSONHa3LURvZl9IGeLSSRmjMAOWMGZp2+bjFs0PfYzjDd7nbAJ/8C127LXXXnjpJWJZ2rVrF9auXYt/+qd/cl7v7e1NWs9yjqR2bQLBxA5tBPMy5EuzbzicL+uE13KUxI7mO91MNHjhlpULKEYOMMILBIwTdFrGwjI6GLesBt1qtgad1ZS7bdYuwa/Z1raSRXhl9uhGYNM5KYR8o+JGf05Dj0Dq1CW/mR1AWWZHPWfHUF5Dl1Aoex8DL3M2tmDHmF5ATxsRFsMKKeWd222D9cpY2hF1MMemELJgWpdbM/qO0QXTO3DgV5/C7K++BHnaQgBAp1DAaNEI9kFUOE+uoRLwAt+e1XPOOQcXXngh1q5diyeeeAIHHnggjjzySOf1lStXYvHixS0ZZILxgSRJ2GeffSZ6GJMTShvQMRPI9WFPkYQ47hwNr4wl4bWEMIIUowJeuE13TIFpC5AEGyj0A12zJ3pIkYNJ260a1MnBuF0rhSV2eFyMixJ0yFBgNO3sYNZmqakyltY7OwbymuPsQHtwsSOLPLbU7caiI4tc2fsYeJmzsYVCb9j1ArrbFezOaaE5O3jntneItZ2tLGOh84WDzA5ITOwIv4ylFrcCLeNDhDM73JCYeIs8hos6utv9d9mx9QIEwHFJ8Qze52wCf/Dt7Ljiiivw2c9+Fvfffz8ymQx+9atflb3+zDPP4OMf/3joA0wwfrAsC319fYmda6JA3R2z7R0AwnN2JLyWI4wgxaiAF26zHRkMoIv8kk/az3rB6ZZCW8063FLxo+kadCeYt/y410AucvUmA1Blmzo70o2v/goy2dfWOzuY2DHV/xtpOUq9biymZWO4qNcMKOVhzsYWTIwzio6zYyikkFLeuWXdWKo7O6JfxuK4DcxwHYT1uBXo+TXq5bG2bUM3LdjO+awQ+Pjv3UXKUe9+qS/08Y03eJ+zCfzBt7NDFEVcd911uO666zxfrxQ/EvCJfL65C94ETWDKXsDWFzFV6wXQjZ0jKmzbhiAITX90wmsJLEhRVKJ9UeIXPHDb06Zg0O7EdGE46chSBRa1Bru7peTzeVhUnGi2laJj6664GNeEFDrsAgy1ueMoRcUOuYnMDnajIrZQ7BgYVdHDnB1tAcQO10roQA2xY7igw7ZRtfUswMecjS1oNxboBXT3ULEjxPazvHJrWjZ2DPMfUCrQ7/VWnENqces4OyIsdowUdfzumx/HO4WXMf8d/wwFJWdHIBjku0pDdPc1CHidswn8o+Ho9ZGRkbIaJ1EU0dnJgcUtQVWIoogFCxZM9DAmL6izo7O4DcAB0EwLwwUjkL3QCwmv5WB2ezEGZSy8cNvTrqA/cXbUhEUD7lhGB+N2Nbt4btLZwS7GKx1NupAC7FJAaqNQqNihpBu3NrOxiVbrcl1Gh/shC3QVL4izI1PqxlKr7IG1Ms1WyezgZc7GFkpJ7OhpJ8JiWJkdPHO7a1SFYdmQRAEzuipuYjkqYxHo+ZI5OMNCPW7FKufXKCEtS5iBQewjbkfBNIjYIeSxM2Bmx0sHXYnbN70bC7v2b81AxxE8z9kE/uG7jGX16tU49dRTnd/nzp2LKVOmOP96enrwwgsvtGSQCcYHlmWht7c3sXNNFKjYIQ+/jW5qrw2jI0vCazlYkGIz2QJRAS/c9rQTZwcAktmRYAwcZ4dUKmPp7e11ciyaLe0Qmc1a8RA7ABhac+caJnbIzYgdzqps68QOdXgnAEAT24KtwjLbN2qLHcT1YaNLYJkdY7ux8DBnYwtXGQv7ng2zGwuP3JqWjT+uI+WzPW0ea6BcOTsIv1ILylhqccu6UQkRdowqkoAiLVs06G50ooDhgGUsA6nZeNneG3o6QDeriILXOZsgGHyLHd///vfxrne9q+y5//3f/8UTTzyBxx9/HJ/4xCfwve99L/QBJhhfaFrSKWHC0LMX+TnwlrOy0jcSzupEwmsJpWwB/sO1AD647W5Lod9OnB21YFNnh7tbiqZpToeSZkM7nZXHCrHDoGIHE1sagW3bSIFcMDfj7GBuKynkVVk39FFy/KlKwO5xLKBUyGNUNaCb3hfHQ3kdbVAhg77uUcbCw5yNLZyA0rxzYx9WZgfAH7crXt6Od934BK7+3csAgN05He+68QmseHl7aSOd2vw5EDvYOaQV7rBa3IpON6roLqIIggBdIOMzqTG/SyhgOKCzQ9VNAEBG8X0LGWnwNmcTBIfvMpaVK1fioosuKnvu2GOPxd577w0AaGtrw0c/+tFwR5dgXCGKIubP579vNrdgYsfgZsyckcJrfcDOEMSOhNdyyBbLFuBf7OCF2552BYNOGcvAxA4mqqB10MzJwbjdzWzZTZaxyNTZUXkxbtCymWacHbppI03FjlQTAaWsba3cwjIWO0ecRUZ6SrA3ZkrODoC4AcbY/UGcHV2gwpEgjblB5GXOxhZMPLQtTMmQPKzBkMQO3rhd8fJ2XHDPKlQ23ewdKuKCe1bhtk8dgVMWz3GVsURf7JDo97psh1/GUotbp/V2hDM7AEBnrcypWNuIs2O/TT/HF6S3YdkfCX184w3e5myCxuBblnvrrbcwY8YM5/frrrsO06eXLExz5szBjh07wh1dgnGFZVnYunVrYueaKHTvQX7qOSxsJzceYZWxJLyWoNjkiz0OYgcv3Pa0KeinZSxWbtcEjyaioGIGaw3LuGWlFs0G7knM0VTRLpAFojbT2lY1TKRBPj+VaXxeSSmyr2ysLQEto7LagoodxNnRIxKxY6hKzsNgXkfWXcJSETDNy5yNLVzH/7Q0WdEOK6CUJ25Ny8a1D64bI3QAcJ679sF1MC27VMaicCB20DKSsAXTetzKFjmGxIhfVxgiEfssi7gzuoQCRgrBzv1LttyDryq/wHSbf5cmT3M2QePwLXZkMhm89dZbzu+XXnopstmSPfPtt99Ge3vjKzoJEkx6KBmgczYAYB+FfImE1X42QQkKms8WSBAM3W2K03rWGE3EDk+wMhWpfGVQoDdnzQbuVcuqYWUzttZ4GYuq6UgJ5OK5GWcHG1srnR1SkTiLhCDhpEBZZgcADFS5QR7Ma6VOLJmApTIJWg8pBQjk0neKQm5wwgoo5QnPv9nvtJr1gg3Sivb5N/u5yuxgzg7F1sqaKLQazEkiRTizAwAM2t3LMkulK1p+JNBnpOm+zp4e8ByaIMEEwbfYcfjhh+N3v/td1dfvv/9+HH744WGMKcEEQRRFzJs3D6IYjzo8LjGFlLLMl4jYsXM0nDKWhFcCy7KdFplKMy0yIwJeuJUlEUW5BwBg5ZKAUi84rWFZzTnjNsXasTZ3Q6ZQsURKVzo7qNjRRJmMWiy17qvMBAkC941Kq5DSBsn/1TEt2BszPQCAdhQhwawaajlY0JEVqred5WXOxhaC4LSf7VaIQBdWZgdP3Pp1jfaNFLkUO1IwoBrhrdbX41aijlEp4tcVU2fOwU55NqTOaTAFGlaaHwz0GRm6YHTGkXuHPbxxB09zNkHj8M3uv/3bv+GWW27BrbfeWmb3MU0T3//+9/H9738fF1xwQUsGmWB8YFkWNm/enNi5JhK0I8scm5SEheHsSHgtQTUspIXmgxSjAp641WlGglDg3/raCjhlKjKzGRNuWSvDZkM75SrlW5ZEyljsJspYNHfb2iZaL8r0RoGNNWxohoV2cxgAkO4K2EnA1VWlEwXadWUsBvK64/7wcnbwNGdjCyrIdcvkOAuzGwsv3M7s8jdPZ3ZluGo9y85vaeihih31uFU4WUT54GeXY8bXX8G0D/wnDIW6LQvD/j/AtgEWZq3w7+bnac4maBy+xY4zzzwTl112Gb74xS9iypQpOPzww3H44Ydj6tSpuOSSS3DxxRfjwx/+cCvHmmAckEqlJnoIkxtU7Jim9wIIx9kBJLwykGwBFqTIv9gB8MOt3U7EDrGYBJR6gbWWdTsjUqkUpJBCO9nFuJQuvxhngahowtmhU2eHDhkQpYY/R3FWZVsjdgzmNUwRiGU7lQ0odkiK4wjoEvJVcx4G8xq6BHozUKWMhZc5G1vQm7QuiVj5R4oGjCrddYKCF26PXjgVc7ozEKq8LgCY053B0Qun8uXsoGUkROwwQ/3sWtzymAVmMfGqGEDsMHXApn9XhZ99rQVe5myCxhHIt3PjjTdi5cqVOPfcczFnzhzMmTMH5557Lp555hl85zvfadUYE4wTRFHE7NmzEzvXRIJ2ZOkqbgMA9A03H1Ca8FqCaliO2BGHzA6euBXayM2loo+QC6YEZWDODubkYNyyshO5ydKO0spj+Woca20rNNHaVqfODg1Kw58BlEpsUi0qY+nPa+gBWaUW2wOWsQCOeNGNfFVnx2BeRxb05rBKGQsvcza2oMd8p1Q6DwVtv+kFnriVRAHLT18EAGMED/b78tMXQRIFQOOn9SwTi9OCBlUPt4ylGrfu1ttyxJ0dbtjs/KQFEDuMkovvt2v4L0nlac4maBy+W88yHHvssTj22GNbMZYEEwxm55o/f34y8ScK1NmRyW0FQC7AirqJjNL4amnCawmqbmEKWzVuwm4fFfDErdzZA9MWIAk2kO8HumZN9JAiBZmWqbA0f8ZtWKGdKVpnrVR0S2FiR1PODiZ2CCk0czvE3FZKi5wd/TkNUwRqyQ8aUAqQUpbRXnQJ+artSgcLGrqE+mUsPMzZ2IK5pUwVXWkZI6qBwbyGqR3NrfDyxu0pi+fgtk8dgWsfXFcWVjq7O4Plpy8ibWctC9CZsyP6ZSyse1Wryli8uDWsktgR9fLYm++4Gye/dTOy8/bHjDQpY5HUUf8fQEtYTFuAKTYnbkcBvM3ZBI0hYTZBGZKOOhMMKnaIQ28jJZP1lZ0jzZeyJLwSqJrmdI2Ig9gB8MNtd3sGQ+xWuMD/ilDYYJkcoquMpb293VkpbCa007Rsx9GkVHZLoWUsQhOtbQ3ayUUXmrtZZDcKaeik5WXIGMjp6GFiR1sjYgcRL7LIYbCasyOnu7qxjHV2APzM2diC2e+NArJt5IYtrJBS3rg9ZfEc/Pnydzu///BTR+DpK99DhA4A0Evhw0hxsG/0e50ElIZbxlKNW7djNOpih2KrOER8A13Dr0FqI+czSR+B5fd82zYVX5t2Cz6ufR2ZVOOLcFECb3M2QXAkYkcCB6IoYubMmYm6OZHo3gOAAMEo4IBOstLS16TYkfBagqq6Vq/laLeI8wOeuO1pVzBgk5Uk5JOQ0kow5wZL82fcKhlyIZZC4+cB1TCdBP3KrBpm+xabEDtMKnYYTYodKeo6kQULmhZ+KUt/XsMU0DaLNEMmEJz2swXPUEvdtDCiGjWdHTzN2diCCd16AT3tROyo5tQJAl65LbpEgRMOmElKVxhYXgdKXWwiDYk5O7TQu7FU41YzLKRAyqCiLnbYVOiTzCLkdnJ+6kQeOc1nGZecwlpxfzxvH4S0zL/YweucTRAMCbsJHJimiddffx2mGa4aniAA5DSQnQsAOKiNBDnu9NkirhoSXkvQVdcqlcS/2METtz1tKQyAiR2Js6MSLJODBZIyblkZS6qJDiWqZiIjeAfzsoyQMJwdTYsdrrG529mGheGRUXQIdD+bcHZ0CXkMeIgdzB3QBVrX7pHZwdOcjS1YFwmX2FEtcDYIeOV2VKU36pKAtFxxW+B0YukAeLghZGUsgh5qZkctbknwOTt/R9sxKtBjXzKLEKnzrFMoBMqsKerkb5BRODge6oDXOZsgGPg/UhOEBkEQ0NPTA0Gols+dYFxAS1n2S5EbwmbLWBJeSzBotoAJEZACRxZFDjxx2504O2qCiR0sOJdxy9wOKWiw7cZKO9yOpspgXubskJoQOyyNfL4hNid2uDsZlLWzDQnFoZ0AAAtS1U4pNUFvDrLIY8ijjIW5PaZI1ctYeJqzsYVSyqnpaSPHbLWypCDgldscFTs60/LYsXPUiQWA49oJuxtLLW5VVSNZVEDkHaMsE0qyVAiZklNtpOhT7Bt4Cx/M/xpniM/EwtnB65xNEAwNX+3v3LkTr7zyCgDggAMOwIwZM0IbVIKJgSiKmDatgYT6BOGiZz6w+VnsJe4CEE4ZS8IrgU5T5TWkEG2zqT/wxG1Pm4IBmwbcJZkdY6DYGnGK04tRxm1OJw4vFrjXSFhxmUuiIquGZYRITQSgWjoRO8wmxQ6IEnRbgiKY0Ivhix36KBHZVCWLtkYublkZSxVnB7th7hEKgI2qZSy8zNnYgpVj6Hl0M2dHIZxuLDxyO0JX9TvSHrcE3IkdRGwgmR3hlrFU41bXXOeqyIsdxNmhWEXX+ayAYb/H/65X8QXtZ1gjL4CtXNGqYY4beJ2zCYIhsLMjl8vh05/+NObOnYvjjz8exx9/PObOnYvPfOYzyOfDt50mGD+YpomNGzcmdq6JBm0/O8fuAwD0DTcndiS8lmDQFe5mgxSjAp647WlPoT8pY/GEbdtIs9awNKODcSsp5FhNo3FbNuuWYkEApPJjX0wxsaMJZwcTO6TmLdyaQG4+mTAZJswcETv0dAN5HYAroDSPgm46dm4G5uzIssyOKmUsvMzZ2IIFlOpFdLexzI7mnR28cjvqcnaMAadiRxoaVD08HmpxqxddpcYRL4+VqNgh27rDaRfyGPabWUMDa8VUB7IZ/rux8DpnEwRDYLHjsssuw1NPPYUHHngAg4ODGBwcxO9//3s89dRT+PKXv9yKMSYYJ4iiiBkzZiRBPRMNWsYy3dgBANg52ryzI+GVwMkWaHYFOiLgidskoLQ6SJo/FTvSJWfHjBkzkG4jfzNZsKBqjZ0LWFaNBgWocDSIIbS2tWk7Qkts/kJfBxU71OayirwgUEeRlWlS7BDJ37Oyg8cAdXZ02LUDSnmZs7GFqxtLT1t4mR28cpurJXbw1HYWcMQOSbChNXi+9EItbtn51eCgPHbO9CkYFrsxkp7tZNd0IY9hv2Us9Fx/8F6zsGA6JwJYDfA6ZxMEQ+BZ+Zvf/Aa//vWvceKJJzrPnXrqqWhra8NHP/pR3HbbbWGOL8E4gtWuJZhgULEjq24DAPQ1GVCa8FqCybIFYuLs4InbnjYFAyAXzHa+H0mFbAmqYSHtBIiSC1CHW71kkVYLBaAn+E0Hc3ZoSKHSeyGn2UpfEyvb1NlhSc3PK01IAXZrxA6pOAgAENobCCcFHPFiqkj+noN5HbOypb/oUEGHCAttNcQOnuZsbOE4Owro6QmvGwuv3LIyls5MHJwdpfloaOGdQ2pxq9P/R0eq8WyAccI/H7UvcNRm8surjwAgAaUjfgNK2fcRD515fIDXOZsgGAJLWfl8HrNmzRrz/MyZM5MyFs5hmiY2bNiQ2LkmGlTsaMtvgwArlDKWhFcCZrePi7ODJ26zbSVnhzm6a4JHEy2ouok0yM2WnCYX6w63QunyWVMb+45ljiav8i2JZoQozTg7DHKOskIoY2HODrMFZSyKRvJPpI4Ga7RpWUo3FTsGKkItB/IaOpEfs70bPM3Z2MLVerabBpRWunQaAa/c1nR2MLGDdbCJOlxlJGGKHbW4NZ3zK2dlHU4r7SBlLFTsUOIhdvA6ZxMEQ2CxY+nSpVi+fDmKrhq1QqGAa6+9FkuXLg11cAnGF6IoYu7cuYmda6LRvQcgiBBNFdMxhN05DabVWBcGIOHVjVKQYrTrav2CJ24zioS8RFa67SSzowykjIVcbLJWsA63kgyNrhfqDXYoqZVVwwJRFTTh7DDo9UAI4XxMiDT08CzoAFDQTHRaIwCAVFeDYgcrY6GZHJUdPAbzOrKCa+VTHvv35mnOxhYuZ4eT2RFCNxZeua2d2cFaz3JSxiKKMKhAbGrhhRzX4paJKtxlgZW1nvUndqhFcjw8sG4g1G43EwVe52yCYAjsuPrv//5vLFu2DHvssQcOO+wwAMDf//53ZDIZPPLII6EPMMH4QRAEZLNjV6ISjDMkBcjOA4bexp7iTuy0pqA/p2FGV2M3EgmvJbAylqa7RkQEvHFrZqYAOiAUkswON4qa4YgdbNXZza2GFFIwYKi5hj6fuSS8HE1Oa9smylgE6uywwxA76A2DFeKNCkBcF1NAxA6la3pjH8JuDmwmdpTfIAzmdWSRK9u2ErzN2VjCyewoosfpxhJOGQuP3I7EKaAU5Bwi24bzfR8GanFrskUUDpwdT77SB+3/zsY+ym7s87FvAwCy8N+NxaTuwt2ajJTEv0DA65xNEAyBj9TFixdj48aNuOGGG7BkyRIsWbIE3/rWt7Bx40YcfPDBrRhjgnGCaZpYu3ZtYueKAmgpy0EZYrtuJrcj4bUE26BBiiFkC0QBvHFrtZGsBFkbBszmWz3GBaqqQhSoe0splbEwbtmKYaM5FmyF0yurhjk7UtBh2w06yEzm7Gi+jIWNkd1AhIX+nIYegaxKNpzZQW3f7XYOgD2m/exgQUMXqEjjkdcB8DdnYwnZldnRzpwdTRz/FLxy65SxxCGzAyXnpm2EW8ZSjVsmquicLKLsa72JffRXAYvwnhZ05Av+hPShgz6OT2j/jvvwPgiNtO+OGHidswmCoaEsnfb2dnz2s58NeywJJhiiKGLBggWJnSsK6NkLeOsZ7JcaAPLAzpHGLd0Jry7oLFsgPmUsPHErdUyBNSSQG/vCANA5Y6KHFAnobseGq4yFcasLCmADRoM5FrWyapizIw0NmmkhLUuBP1806fkpBGeHKaUAHbBCXJUFqLODih1oay6gVLZ1pKGPaVc6kNMxT6BceuR1APzN2VhCKWV29NDMDsOykddMdHi5G3yCV25HizEqY0HJuWmF3I2lGrdOeSwHZSwZRUIRY8/TRn7Y1/tzbfOw0lqMbCrqUaz+wOucTRAMvo7WBx54wPcHnnHGGQ0PJsHEQhAEdHTwo97HGtTZsZdEghz7mhA7El5LYEGKdkzEDt647W5vwxA6MAWjpP1sInYAADRXBhao68jNreN2aFAAqJVVo9BuLGnoJDukIbGD3PQLSvPODudGJeTMjv6chsW0jAWNOjtSnQAEADayyGMwV+7sGCroOJAFlNYoY+FpzsYSLGzTKCCjiEhJIjTTwmBBb0rs4JXb2pkd9Hjm0NlhGeGVwtXi1ilj4cDZkZZFFGkINAwVhtwB2cjBLPoTO1hOR0YJ/j0RRfA6ZxMEg6+z+gc/+EFfHyYIQmIF4himaWLdunVYtGgRJCkeJzJuQcWOeegD0JyzI+G1BGZrjYvYwRu3Pe0KBuxOssJeSEJKGZhjQ0UKaWoNdnNriGnALHVVCQrmkjA9jvtUmjg7MoKOYc1ANhO87pw5O4QQylisFljQAWDAVcbSsLNDFImIURxCVsiNdXbkNXQJ9ctYeJqzsYTTjaUIQRDQ3a5g54iKwbyGeT2Nd5nglVsmdngKPRyWsbAyVTtEwbQWt+z/sTgQOzKKhH6bfg8YRVipTsDIwS4M+Xp/6o3H8EnpabwlHdHCUY4feJ2zCYLBl2/Hsixf/xKhg2+Iooh99903sXNFAVTsmGH2Ami+jCXhlaAUpNj8TVkUwBu33e0KBkDazyKfhJQysC4r7jR/N7e6Y8tuTABgwoFX+ZbbjaEWGxNTZIvMKzHVfDtCJsgwF1ZY6M+p6AEVOxp1dgBAmogYXSiUZXaohom8ZpYCSmuUsfA0Z2MJ5uzQicjYQzuyDOWbCynlldvRmpkdrIyFP7EDIQqmtbhl5yqTgyywtCyiADpOPQ+bnae0EV/vn7b+f/FN5U4swSstGuH4gtc5myAYmmLX3X42Af8QBAFtbW2xCB3iHlP2AgBk1V4IsJoKKE14LUEIMVsgCuCN2562FAZsWvudtJ914BUg6ubWsWU3GtpZy9EklwSKRlvbSlTskEIoY7HF8G9UAKAw3A+JhcA26uwAHMdGl5Avuzlmj7N1nB28zdlYgh2n9BhzQkqb7MjCK7c5lSxUdsXE2WFLhN8wBdNa3PLkGCWZHUzsKEJIk8UHSRvxFdDLhO2pPd7nN97A65xNEAyBxQ7TNPGNb3wD8+bNQ2dnJ9544w0AwNVXX4077rgj9AEmGD+YponVq1cnDp0ooGsuIEiQbAMzMYi+4ebKWBJeCUpBivFwdvDGLSljSZwdlTCcNP/SxbKbW8sROxoTI2pejEsKLJALPa3YWACqZJFyDlFp3tnhjDFkZ4c+So43XWoH5CZWYGkWRxZ5DORLZSzsRnm6XCjbrhK8zdlYwtWNBQC628JpP8srtyPFeJWxtOIcUpNbg5WxRF/s6EjJUNp7MCJ0wRYEiG1EtGiz8ijqVt33ZyUyRz594qKWjnO8wOucTRAMgcWOb37zm7jrrrvw7W9/G6lU6YJh8eLF+MlPfhLq4BKML0RRxKJFixI7VxQgyUD3PADAnkIfdo42V8aS8EogONkC0b8o8QPeuO1pU9CflLGMgePsEMvLWBi3TmlHgzXoNcu3BAEaDaxr1Nmh2OSmX06H4Oygc1MI2dlh5qjYkepp7oOo7btLyGOwUGpXOpAjf4OpEh13xvv/4W3OxhJKpdhB5t1gCGUsPHI7qpL99g4o5U/sYGKmYIZbxlKVWyf4PPplLN3tCpZddR+6lm+BcPRnIbWVzmfDRR/HPxPcY7JgxOucTRAMgdm9++678aMf/Qif/OQny8JcDjvsMGzYsCHUwSUYfyQBPRFCDyll2UPYhb5h1ZfFsBoSXgkkKnaISjzEDoAvbrvbFQwyZ0dhYGIHEyFYVOyoTPNn3DoX0Q12F3CEgyoin0ZtzY0GoMrU2SGFkNnButHA1GpvFxS0bMpsm9Lc59DylCxy0AwLBZ2sCDJnR7dI3TFVMjsAvuZsLMHEDksHTMNVxtL8Mccbt4ZpOSv6cWk9y27EhZDdYVW55bg8VqDnqU4UMOzH2cTEDpZ7EwPwNmcTBEdgsWPr1q3Yd999xzxvWRZ0vTlVPMHEwrIsrFmzBpZV38qWYBzgiB07UdBN5LTGbHYJryWIIdrtowDeuO1pSyXODg+wMhN3a1g3t04NeqPOjjoX4ywYtVGxIwXm7AhhXrXqRqVIxA6hmbwOwClP6RHJ34q5AQZpSUsps8Nb7OBtzsYS7lVpoxBaQCmP3LK8DiA+ZSzsPCeEKJjW4tY5V3GQ2TEGVOzICgVfzo58nohfP36ut6XDGi/wOGcTBEdgsWPRokX4y1/+Mub5X//61zj88MNDGVSCiYEoijjkkEMSO1dUQDuy7C3vAgD0DTdmyUx4LcHpGhFCkGIUwBu3Pe0KBmlAqZ0ElDpgwaPubilublkNeqO27HqtYVn5jNFkGYsShrODzk0nXycE2LYNRRskn9sxrbkPo86O6TLhguV2MNGjE/my7SrB25yNJdzzQC86zo5mMzt45HaElrCkZREpuWLchkbcLwBXYgc7z4V5DqnFrSOqcOLs+OaN38Tz1/4TBh75liPKdiKPYZrdUgsiFeZ3a/EI9ORxziYIDg8ZtzauueYanHPOOdi6dSssy8L999+PV155BXfffTceeuihVowxwTjCNM1k0kcFtCPLAnk3oAJ9Iyr2ntGYlTThlUCiF25xETsAvrjtaVfQT8tY7NxuxONyqXnYjthRXsbicCs3F7jniB1VjnvWBcZsoLWtbdtIgcwrJdO82MHydJgLKwyMqga6bNJaMdU1vbkPoyuhU6nYwdwArA1tuzVatp0XeJqzsYQoEsHDKAJ6Hlnq7Gg2swPgj1vm7PAsYdFzpccKR2KHws4h4brDqnErclbGklH7cLT9MoZ27gPscwwAoEvwV8by8IE3YMWqjZiTmdPqYY4beJuzCYIjMLsf+MAH8OCDD+Kxxx5DR0cHrrnmGqxfvx4PPvgg3vve97ZijAnGCZZlYd26dYmdKyqgzo652AkA2DnS2Bd3wmsJkh2i3T4C4I3bNkXCqEhXvJMyFge2E3BXEiPc3Nq07EpocKWSdUsRqpRvMWeH1YDYoZkW0lTsSKWbr+MuiR3h3agM5HRMAREh5M5wnB2sjIWJHEM07yFj5sq2qwRvcza2YHPBKKKnnQaUNuns4JFbJ5w0U6OERVSa62A0zmCLGVKIgmktbkXn/MrHIoop0nFqhVLgsk9nx8bOI/FH6x0QMxxluNQAj3M2QXAEdnYAwHHHHYdHH3007LEkmGBIkoQlS5ZM9DASMFCxY4bZBxEW+hoUOxJeS2B2e4mTi5J64I1bQRBIQKQBCOoQYBqk89AkBwsQdXdLcXPrCAANix3kfdWOexaMaurBW88WdQsZmtmhhCB2ODcqIdbb9+c1TBGo4yKkzI6sQP5WLNRyIKcjDQ0yPcdUy+zgbc7GFnIbgAFAd2d2NHfM8cjtaC1nB495HSidQ+QQBdNa3EpOeSwfzg5TzgAGYOsFIE2clp0+nR0qDbPNKPEI9eRxziYIjoavMl988UWsX78eAMnxOPLII0MbVIKJgW3bKBaLyGQyEITEYD7h6JoDiAokS8ds9KNvpLF6/YTXEhRbA4T4ODt45FZomwKMAAJsoDgIdDRZVhAHGGNt0GXcNpljwbqliFUyNVgwqt2As0PVDXSxMpYQ5hULD2YurDAwkNPQA1LGgvYmxY50qcYdcAWUFjR0gWWeCECqy/PtPM7ZWIIJf3oBPZ3hZHbwyO0oXc33DiflsBMLSl2hWNlqGKjFrUj/H16cHZZEnYJGwRFlu5DHSD1nh5bH4h2/wwfEEaSlsY0qeASPczZBcAQuY9myZQuOO+44HH300bj44otx8cUX4x3veAfe9a53YcuWLa0YY4JxgmVZeO211xI7V1QgSkD3HgBIR5ZmylgSXmm2ACtjSfFxUVIPPHKb7chgyKYOgCSkFEAp9M2d5u/mtmTLbk7skKoc9yb9f1lXmCBQVRWiQNpih3GxL6bIWOQQLej9uTCdHT0AgA6LrHoPugJKuwRX29kqNeA8ztlYgrXONArops6OnGZCMxrnhUduWRlLV4ycHRJ1WMi2Btu2Q/nMWtwyB4nESWaH4yA0XGUsfrqxFPrxoS034tvKj5BJxcORyeOcTRAcgcWO888/H7quY/369ejv70d/fz/Wr18Py7Jw/vnnt2KMCcYJkiThkEMOSXpORwm0lKUZsSPhlUA1StkCSiYePeJ55La7LeWElCa5HQSCR4Com1uWtSE16OxQbHoxXsXZYdGsENYVJgg01VX6UqXbSxCwUhs5TGdHXsMUgTk7pjT3YXQlNGOO0s9mrWd1ZJEr28YLPM7ZWIIdq3oRXRkFbFG3GXcHj9yyMpbYtJ1F6TyXhgbNDOcmtha3TvB5GN2oxgGWTMYpGhWZHfWOfZ041zQhjWkd/GS41AKPczZBcAQWO5566incdtttOOCAA5znDjjgAHz/+9/Hn//851AHl2B8Yds2crlcaEp4ghBAxY49hZ3oG27sRifhlUDV3UGKfFyU1AOP3Pa0KxgEFTsKibMDcKf5l8QCN7dSk4F7TmvYKse9zbrANODs0IqudrVS8xfAMr1hCN3ZgbCcHSR4NGXmIMByylgG8hq6hELZNl7gcc7GEiygVM9DEgVkM6yUpfHjjkduWRlLzYBSzsQO2RE7dKhNOHXcqMWt7GSB8eHsmD6lGzpkCKLsaj3rI7ODZjp1dWXxkaP2bPUwxwU8ztkEwRFY7Nhzzz2h62MnhGmamDt3bsMD+da3vgVBEHDJJZc4zxWLRVx44YWYNm0aOjs7ceaZZ2LHjh1l79u8eTNOO+00tLe3Y+bMmbj88sthGOV1Z08++SSOOOIIpNNp7LvvvrjrrrvG/P+33norFixYgEwmg2OOOQbPP/982et+xsI7LMvCpk2bEjtXlEDbz+4h7MTO0cbLWBJeAdUwkRLIuSsuAaU8ctvTpiTOjgqUAu7Ku7EwbtlKpWw36uwgx3218i2nC0wDrW11ldzgq0gBIdQ8szGyMYeBkdERtAn0JjakzA4BNjpRxGBeQ1E3oRpWydlRo+0sj3M2lnB1YwGICAs05+zgkVt/ZSy8ZXaQc0gKhhOo2SxqcSs75bF8LKL82yfPgvIfu9F56QtOQKkk2NAKI7XfyJx/ITj4ogIe52yC4AgsdnznO9/BF7/4Rbz44ovOcy+++CIuvvhi/Nd//VdDg3jhhRfwwx/+EIceemjZ85deeikefPBB/OpXv8JTTz2Fbdu24UMf+pDzummaOO2006BpGlauXImf/exnuOuuu3DNNdc427z55ps47bTT8O53vxurV6/GJZdcgvPPPx+PPPKIs80vf/lLXHbZZVi+fDlWrVqFww47DMuWLUNfX5/vscQBkiTh4IMPTuxcUUIPEzt2oT+nNVRPnPBK4C5jqdaCkzfwyG1Pu4IBJGKHG6KH2OHmll28Kw26HVJgF+Pe5Vs2qzVvQOwwqNihQWlobJVg4cEKwnN2aCO7AACWINcUInxByTjZKl3IYyCvYYDmdrB2tLWcHTzO2VhCLgWUAnByO5hTpxHwyK2/Mha+yj5Z9yri7DBD+cxa3KbqiMmRg1uUVtphC2SfrMJQ7fexbl0KX8dDLfA4ZxMER2Cx49xzz8Xq1atxzDHHIJ1OI51O45hjjsGqVavw6U9/GlOnTnX++cHo6Cg++clP4sc//jGmTCnV0g4NDeGOO+7ATTfdhPe85z048sgj8dOf/hQrV67Ec889BwD44x//iHXr1uGee+7BkiVL8P73vx/f+MY3cOutt0LTyMXH7bffjoULF+K73/0uDjroIFx00UX48Ic/jJtvvtn5v2666SZ89rOfxXnnnYdFixbh9ttvR3t7O+68807fY4kDbNvG8PBwYueKElgZi0iEt10NuDsSXglUw3TEDnASJFYPPHLb3Z7CgE1XCpOAUgDubimli0g3t3KauR2CCwCGaSHFyrcyVUQ+Oh+EBjJBDI3cLOpCODXcCv0bpELM7LBGyXGmp7pDcZ+4288OFXTnBnlGSi173Qs8ztlYgt2whSh28MjtqErLWGKU2cGErLSghVrGUo1bmZ5fuezyJggwqXPHVus4O6gLasNuHS9uisd3N49zNkFwBI7TveWWW0IdwIUXXojTTjsNJ598Mq6//nrn+Zdeegm6ruPkk092njvwwAMxf/58PPvsszj22GPx7LPP4pBDDsGsWbOcbZYtW4YLLrgAa9euxeGHH45nn3227DPYNqxcRtM0vPTSS7jqqquc10VRxMknn4xnn33W91jiAMuysG3bNuy3336JyhkVULFjttAPCSZ2jqiY2xPsCzXhlaCoucUOTlZg6oBHbnvaFKx3yljiccHULFgWh5QuL2Nh3Mr0ZqOR0g63oymVqXLTIjfe2takYochhiN2MGEnhTptEAPALhAHkZlpMpyUIZ0FcjvRhTxey+sYyBH+ZshFQEPdMhbe5mwswVxUThkLOX4Hmyxj4Y3bnFors4PP1rNwOztCLGPx4tYwLaRZS3tOymN/+NgaLHr2MizIitjzwgfJ+UodAorDtd9InR0Dmgw7JBFposHjnE0QHIHFjnPOOSe0//wXv/gFVq1ahRdeeGHMa729vUilUujp6Sl7ftasWejt7XW2cQsd7HX2Wq1thoeHUSgUMDAwANM0PbfZsGGD77F4QVVVqGrp4nF4mJxIWG0Y+ymKYtXHpmlCEATnsSiKEAQh0GP2f7kfS5IE27bLHgNExLFtG6ZpjtnGsiwSlkcf1xt7FPap3uPI71PnbNhSCrKpYY7Qjx3DRU9uau2TIAg48MADYVmW8/mTkSdNKzotMiGlYrFPkiRhv/32c/rD87BP2YyMAdCVpPxu2B7HZNyOvXr7lKJZHKKchm3bDp8HHHAAeQ8NvlOgjdm/evuRU3X00JIQSU457ys7R7icHUHPEawbiy6Uxt4MT5JCxpiCBlXTkU4pTfMkFQfIvG+bUnf//Bx7dqYbAoCskINh2dgyQP4GUyRy42xnumFV4Qmo/T3L1fdTROeTr8dyBgIAS81BsG10t5HL4aG81tQ+7b///mDggacR2m60My2P2SeooxAB2Eq753k6qvtkS2kIIILpiG4686yZY08QBOy///5j9imv6kgJRDCSlJTvc+BEzqeBgoXjzOeBAcDSchCoOJuxclANE7IA77HPewf+I3UFXhtVcJmEMfvK4zkCKH3PmqaZODxiisBlLGHh7bffxsUXX4x7770XmQwfamhQ3HDDDeju7nb+7bknSS/eunUrAGD79u3Yvn07AGDLli1ORsjmzZuxaxepMd60aRMGBsiF2htvvIGhIVJTt3HjRoyMEMvZhg0bkM+Ti61169ahWCQXXGvWrIGu67AsC2vWrIFlWdB1HWvWrAFAQlfXrVsHAMjn89iwYQMGBwcxPDyMjRs3AiAlPG+88QYAYGBgAJs2bQIA7Nq1C5s3bwYA9PX1YcuWLZHdJwAYGRnhc59EEXZ2DwAkpHTr7pHA+/TWW29hcHAQO3bsiMY+TRBPurtrhJyJxT7Ztu20AeeFJyM/5ASUaoPbJ8WxV2+fWMDd7v5hZ5/Wrl2Lvr4+2LaNLVu3ASArlav//o9A+/TKq68iJZC69c3bd3juU14jF4iCng+8T4XhQcIl5FB4emMT+fumBBP/ePnlpnnq3bEDikrGqMudoZz3cgZZAZxKxY3XdpCFjE6TbGunOqsee2vXrsXg4CByuVwkjr04zic/+2TR3JXdvVtgWRa6UoTToYLe8D7Zto233noLb731Fjc8DdO8mc60PGafRvvJ+SKng6tjL09zSNLQ0D80HMqxx3i1bbtsnza+/qbjnNveu5OL+aTpBkyb3Oj379gKsa3UkWWkaFTnadsIVlhH41nrYGzb/Fak9qmZY6+3txe2bZfxlCBmsCcIv/3tb20AtiRJzj8AtiAItiRJ9mOPPWYDsAcGBsreN3/+fPumm26ybdu2r776avuwww4re/2NN96wAdirVq2ybdu2jzvuOPviiy8u2+bOO++0s9msbdu2raqqLUmS/dvf/rZsm7PPPts+44wzbNu27ccff7zuWLxQLBbtoaEh59/bb79d9jmmadqmadZ8bBhG2WPLsgI/tixrzGPbtsc8VlXVfvXVV21d1z23MU2z7HG9sUdhn+o95mKffvYB216etb/y71+xb/7jK4H3SdM0+9VXX7U1TYvOPk0AT3/52zrbXp4l/1zj4nmfDMOwN2zYYGuaxg1Pm3aO2B/56ndse3nWtr53xKQ49mrtk67r9t+uXmLby7N2/6rfOc+rqmq/8gqZ7yNb1tr28qw9eM1seySvBtqn197udY57Iz/kuU9rf/tt216etZ/+z1MD79Nj999h28uz9us3HBsKT8Xh3c54d+3e3TRPfUN5+9v/fr5tL8/a2372aVvTa3Pp59izfvEp216etb9z3WX2Xlc+ZH/hf1+097ryIXvNd95PjusXflr12Kv3Pcvd91PE5pPvx3/6lm0vz9rm779oW5Zl/+ip1+y9rnzI/tL/rWp4nwzDsF955RXnfMwDT8fd+IS915UP2S9u6h+zT9b/fZL8jZ67na9jb9tq216etXuvmW//acOOUI49TdOc87F7n7bsHrVHr5lBzq99G7mYT99//FV75JqZhNudr9n2PR+x7eVZ+/J//7L9et9IzbEfsnyFvdeVD9mvbB+M1D41euy5v2cNw7AHBwdtAPbQEPmuTBAPTJiz46STTsKaNWuwevVq599RRx2FT37yk85jRVHw+OOPO+955ZVXsHnzZixduhQAsHTpUqxZs6asa8qjjz6KbDaLRYsWOdu4P4Ntwz4jlUrhyCOPLNvGsiw8/vjjzjZHHnlk3bF4IZ1OI5vNlv0D4Fi8RFGs+1iSpLLHzHYV5LEgCGMeAxjzOJVKkfpwWfbcRhTFssdB9mOi9qneYy72yWk/uwt9o2rgfVIUBfvttx8URYnOPk0ATzq122tQANe4eN4nSZJwwAEHQFEUbnia0pl2dWPpnxTHXq19MmzBWRlMt3U4z6dSKey///6QJAmZNpK1kYEO3UKgfTL10kqVRMM/K/eJtbaVLC3wPtk088AU06HwlG7vcsZrGlpTPK14eTtO/d7TmCKQVbzfv1rE8d95Eite3t7UeU+g3VamK2TfN+0m55YuIUdfz1Y99up9z3L3/RSx+eT7Me3IJRpFCIJQyuzI6w3vkySRMhZ2PuaBJxZQ2pWRx+yTYBA3pJju4uvYkwm3aejQDCuUY09RFOd87N4nw4Zz/pbS7VzMp7aUjALI8S6aqhOo3IUChotG9bH3rcVJ5tM4SHgL7WklUvvU6LHn/p51P58gXpgwsaOrqwuLFy8u+9fR0YFp06Zh8eLF6O7uxmc+8xlcdtll+NOf/oSXXnoJ5513HpYuXeoEgr7vfe/DokWL8K//+q/4+9//jkceeQRf//rXceGFFyKdJhbFL3zhC3jjjTdwxRVXYMOGDfjBD36A++67D5deeqkzlssuuww//vGP8bOf/Qzr16/HBRdcgFwuh/POOw8AfI0lDrAsC7t373Zq3hJEBDSkdA9hJ/qGgwcIJrwSGBq5MQmra0QUwCO3XWkZQwK9oS0MAFY4rQF5haqXAkSVVCl82M0taxmbFnSoerC/l05bwxqQAMk7pouJHXIDrW1tnZyTWFlA0xBlx2KtuUvPAmLFy9txwT2rsHNUwxSBBC0O2p3oHSrigntWYcXL2xsfIxU7WBnLpl1E5OiwaGvGGt1YeJyzsQRrP067sYQVUMobt6PFOHZjIeeiFIzQurFU41bTdMgCfS6sc2CLkZZFFG06Vr0ApMn3cZeQx3CN499++X7cLH0PH5b+jIwSjzBPHudsguBoWuwYHh7G7373O6xfvz6M8ZTh5ptvxj//8z/jzDPPxPHHH4/Zs2fj/vvvd16XJAkPPfQQJEnC0qVL8alPfQpnn302rrvuOmebhQsX4g9/+AMeffRRHHbYYfjud7+Ln/zkJ1i2bJmzzVlnnYX/+q//wjXXXIMlS5Zg9erVWLFiRVloab2xxAG2bWNwcDAJ6IkaepizYyd2Nth6NuHV1TUiRmIHj9wKggAxTW4WBdjAq49MasFDNUykBda6sLz1rMOtq1WySh1KflHmaKoCiXYRkBto98qcHZYY0oW+IECjc5QJNUFhWjaufXAd2KzoARE7BtDlPHftg+tgWg3OGyp2TBHJ+ApUgMpYtHtFpqfqW3mcs7HEGLGDzI9aN3v1wBu3qmFCM8lNXoen2EGPZ4VPsSMNLbA4XA3VuNU0V8YDJy3tM4qEInV2QM873aM6UcBwsfrxb1LxS0y1xUbs4G3OJmgMgbuxfPSjH8Xxxx+Piy66CIVCAUcddZQTzPSLX/wCZ555ZsODefLJJ8t+z2QyuPXWW3HrrbdWfc9ee+2Fhx9+uObnnnjiifjb3/5Wc5uLLroIF110UdXX/YyFd0iShH322Weih5GgEi5nx87h4OFJCa8EzM4fVovMKIBLbtc9gAdwSen3X3wcyM4FTrkRWHTGhA1rolDULXTQbimCq3VhGbd26fmgAoBBt6/laJLT5MZPaUDsAJ1XVogX+hoUtEGFrjUmdjz/Zj+2D5XOlayMZdCmXYAAbB8q4vk3+7F0n2nB/wMqdnSL5eNLG/TmsEbrWS7nbBzBxA4q1nW3EbFjMN/AHKDgjducWhIC4ujskAQbmh58gcgL1bjV3eIzJ2LHlHYFlpyBZQmkjIU5O2hAaTXItDX5eScsAryOFw7B25xN0BgCOzv+/Oc/47jjjgMA/Pa3v3VUse9973u4/vrrQx9ggvGDZVno6+tL7FxRA3V2zEY/BkdzgRXohFcC5uwwYyR2cMftugeA+87GDHt3+fPD24H7ziavTzKohumUsbgvlsu4lRRYYKUdAZ0dmg+xI0XElIbEDoNcANshWrh1QaEf3ZjY0TdSLgo7zg4qdlTbzjecldCc85QACzITO6gY4gXu5mxcIVc4O6jYMVTQYTXo+OGN2xzN62hPSZBEj6wCbsWOkjhsqOF016jGrU67d5gQAZEPAeCkg2bhgK/9FeLyAWDfk53zVb0yFjZXHKEwBuBtziZoDIHFjqGhIUydOhUAsGLFCpx55plob2/Haaed5rQQSsAvWKusBBFC50zYcgaSYGOatQuD+eA224RXwNJYkGJ8xA6AI24tE1hxJQAbYy+r6c3Fiq9OupKWoiuzw32RDri4FQSoYKUdwS7eTSerproYwcpnGhI7zCL7kODvrQKd7qvRoLNjZlf535FldjjBuFW28w2aydFhl8SODhQh2FbZ69XAzZyNM5iLit7AZanYYdnAiFp9dbseeOKWreJ7lrAA/IodLuHV1MIROwBvbg16/Og0+JwbSK7xUmdHvTIW6HT/lQbPmxEFT3M2QWMILHbsueeeePbZZ5HL5bBixQq8733vA0D6Imcy8ZoAkw2iKGLBggVOenGCiEAQIHTvCQDYU9iJvpFgtsyEVwKL2lnNsLIFIgCuuH1rJTC8rcYGNjC8lWw3iaBqKhSBCjwusaOSW+bMCOp2YCJfrfIthZaxpKAHdo4J1NlRKdQ0A0MkN57uTjJBcPTCqZjTnYEAQISFburAYGUsAoA53RkcvXBqYwOkK6Ft5qjzVBcoL1Kq5t+CqzkbZyg0H4d2HMkoEtpoDkGjuR28cet0YvESOyzLJXZ0jn09yhBFGAI7hzQeclz+kd7cMucIc6NxCepUywp5DBeqC335PDkefvJc77gMazzA25xN0BgCs3vJJZfgk5/8JPbYYw/MnTsXJ554IgBS3nLIIYeEPb4E4wjLstDb25vYuaKIKa6Q0oBiR8IrgU0vakPrGhEBcMXt6I5wt4sJNLdTo6KMxc2t7oR2BluFcoJ5a4gdqQy58ctAC9y9QKTODjtEsYPta6OrspIoYPnppP18D0YgCkTA2V98GxLI/i0/fZG3dd8P6M1B2iw5O7qEfOm1Giu8XM3ZOIMdry5BrZTb0ZjYwRu3rIzF09lhFOA47nhzdgAwheYE00pU49bgMPj8tb5R/M+NX8XzN7wfWP9gmbNjpIazw9LIOe7NofiEefI2ZxM0hsAFZv/2b/+GY445Bps3b8Z73/teRw3be++9k8yOGEDTGg/nStBCuNvPNlBnnvAK2Ab5G1gSPxclfsANt52z6m8TZLuYoDzgrlwwcHPrCAABL94tnZVvVRf5FFrGkoYOVbcCJe2LNLRODNHabNCSG6sJC/opi+fg/nfvwh4rr3aeuzd1A3ZgGrYtXY7DF89pfIDU2aHow85T0yS6glynhAXgaM7GGU43ltL862lX0DtcxGChcX544paV63iHk7rOS0r72NcjDkNMI23lmzqHVMKLW5M6RnkSOyzbxvSR9ThaXgnsPAnY770AaGZHjYDSrYdehB9tPhxb2/cfr6GOC3iaswkaQ0NpOkceeSSOPPLIsudOO+20UAaUYOIgiiLmz58/0cNI4AUqduwp7MSOBspYEl7hrODZUnzK7bjidq93kq4rw9vhrBiWQSCv7/XO8R7ZhIJlcBiQIYslkaGSW0NMASZgasGcHTa1cVs+yljS0DFgmECNNrWVEE3aSSZEZ4fVZBkLAGDdAzj82YthC+XH2kz0Y9azFwN7Tmm8+w8VNERThQIDOmTMTmuAiZrhpABnczbOqOjGAjTv7OCN21F6Y9uZqdN2lkOLvyWlAKMk9jaLatyWxGR+ylgysoQCqPitF8pbz9Yo4eqbsRS/sSQcmOqqug1v4G3OJmgMDYkdW7ZswQMPPIDNmzePUcRuuummUAaWYPxhWRa2b9+OOXPmJPVrUYPL2fFyA2UsCa9wghTD7Box0eCKW1Ei7WXvOxs2BAhlgge1/Z/yLbLdJIKpklIIXUiVfSFXcms2WNrhXIzXOu6pUKEIJoqqBsC/cCFa5HwkhOjsYC6Uhm9UaoThkuNOIGG4B57W2PHmai3bhTz6kcWslAoUULPtLMDZnI0zZJfYYVmAKKKnvdSRpRHwxm2uprOD5XXw5+oASucQ2win9Ww1bi0OW9pnFNEJvLb1PAR6zuoQVIwWqp9zVZ2UeqQDOP+iDt7mbILGEFjsePzxx3HGGWdg7733xoYNG7B48WJs2rQJtm3jiCOOaMUYEyRI0LMAALCHsCtwQGkCAhakaIfYNSJBQCw6A/jo3VAfvByZgivkLDuXCB2NrrRzDMPplpJCrYZ+7GI6sABg+BD5XHNCUwsA6pdiOG+1yIKHlApR7GClZo2KHUHCcBceF/zzRQlIdQHaCLJCDv12ttSGto6zI0FE4G6faRSBVLvj7GhU7OANtctYOO3EQmFL7GY+vDIWL7DzcS3nXNSQliUUbPp9ohUgpUtODbMwUvV92bcfw7vFN2GKk8t9mYB/BJaxrrrqKnzlK1/BmjVrkMlk8Jvf/AZvv/02TjjhBHzkIx9pxRgTjBNEUcS8efMSdTOKoM6OWRhA/9BwnY3LkfBKUOoaER+xg0tuF52B9Wc9g9uM08nvc48ELlkzKYUOoHqAaCW3LFg38MU7E/lqiR2u1/SA3V4k6uyQlFpSTTCwGwfLaLCWehzCcAsSuQlkXVjyw/0AgC2F2nZ2LudsHFEpdgDoaSfH3WC+seOON259lbHw1omFwgkiN8IrY/HiljlHeOryllZEFMDEjjwgp2Cx8l51qOr7Dn/hCvw09R3MFgfHYZTjA97mbILGEJjd9evX4+yzzwYAyLKMQqGAzs5OXHfddbjxxhtDH2CC8YNlWdi8eXOSShxFdEyHKbVBFGyII1sDvTXhlUCgQYphZgtMNHjltqezDX+39iG/yKlJV7riBitLMSvEjkpuTZEct1bQVorM2VHruJdkGCAcaMVgmSDM2SGmQxQ7mr1RaXEY7oqXt+OtHBE1skKO/iS8rHgtjxUvb6/6Xl7nbOwgSgDLWaAhpWF0Y+GJW39lLLw6O8IvY/Hi1ubS2VEqY2FiO+vIIuk5GKb38SvRUuBMO58CmBd4m7MJGkNgsaOjo8PJ6ZgzZw5ef/1157Vdu3aFN7IEE4JUip8T9qSCIMDI7gkAaBsNJnYACa9AqWuEoPCzAuMHPHLb06YgR3Mh7GIwp1LcwMQLr5VBN7clZ0ewi/dS+VZtkU+jF7+slaJfKDa5HlBCLGOxmxU7WBjumMQOBgHIzmsoDNe0bFz74DqM0KIj5uzoArlhHrY7cO2D62Ba1dsz8jhnYwnWZURnzg4qdjRRxsITt6NxFjuog1MISewAvLktdXnj57pCEARkOqhgQYU+gYYudyGPEa+OLKYO0SbPX3fmUeMyzvECT3M2QWMILHYce+yxePrppwEAp556Kr785S/jm9/8Jj796U/j2GOPDX2ACcYPoihi9uzZiZ0rohCnklKWqUYvCprp/30JrwBcQYoxcnbwym22TcGoTW4WLbV6jfBkgEXFi8oA0UpunayZgAIAczTVK9/SBXKjF1jsAMvsCM/Z4eyr2WAZCwvDBWCP0RyaC8N9/s1+bB8qYtgmN4ElZwf5OYI2bB8q4vk3+72HxumcjSVYqK5BjvmeNnLT02hmB2/cMrGjw0vs0PkWO1hpnnP+axJVuXUykfi6Yb7qiv8AvtaLzL/+CkBJ7OgUChguehz/bkchh62Iq4G3OZugMQRm96abbsIxxxwDALj22mtx0kkn4Ze//CUWLFiAO+64I/QBJhg/WJaFTZs2JXauiEKesgAAsKfQh50BQkoTXgkki3yBiyF2jZho8MytKZMLJqMwUnMVPO4otYYtFyMquS25HQI6O3yWb+m024uhBitjSTFnRzrEC2B2o9JMvf2iM2B+5GdObbqD7Fzgo3c3nBHTN0LGVHJ25OlPwiMTQdh2leB5zsYObE7QOegElDZRxsITt/6cHZyWLITs7KjKLa/B53KK5Nawm3xaxlLV2eGIHUKscs94m7MJGkPgbix7772387ijowO33357qANKMLFob4+PYhs3CFNY+9ld6BspYv40/1wlvJaCFMUQV6CjAN64XfHydlz74DoIehqQAKgjeNeNT2D56YtwyuI5Ez288Qe9ofeyQZdx2+DFu+SUb9URO8Q0YLlquH3AsmykQG4MlUx4x6FjQW9yVTa/z6n4i3UYTpVegHHoJyAf/glSutJERszMLvJ3LDk7CvRnydnh3s4LvM3Z2MIpY6HODqeMpUFHEfjilgWUdnkGlFKxg9NVfCbuMkdnGPDi1jlHcVTG4gnafrZLKGDYy9lEy12KQhq/feFtfPzo+eM5upaCpzmboDEkvp0EDkRRxMyZMxM7V1TRsxcAYA9hZ6D2swmvBBJrkRkjZwdv3K54eTsuuGcVtg8VMUozO9KCgd1Do7jgnlU1gx1jC50FiI4tYynjll68C2bQbink8+s5mkyBBdb5d1NopoU0mLMjPBHRuVFpVuzQTHSAdovZ+zjSZrbJMNyjF07FnO6MI2pkactZ5uwYQTvmdGdw9MKpnu/nbc7GGoq3s6PRgFLeuK1ZxsJ5ZgcTd4VGS+EqUJVbk09nxzf/9w94/IYPoe++i8kT6VJmh2cZCxXlc5aCbYMBQ7IjDN7mbILG4IvdKVOmYOrUqb7+JeAXpmni9ddfh2n6z4NIMI6g7Wf3FHYGKmNJeCVQbHrTE2KQ4kSDJ25ZsCMrWMmhdHPcTm8U6wU7xhLsYrliZXAMt/RiWgx48c5Evnpih0HLaIKIHUXdRJo6O1Khih3M2dHcjUpONdAukP0RQrLjS6KA5acvwohNVgO7qLOjSygFlC4/fREk0Tsclac5G3sw14JR7uxQDQtFPTg/vHFbu4yF79az7BwiheTsqMYtOx8LnIkdO3ftxEnq48i++f/IE+7MjoJHGUvnLPx63ldxg/EJpOX4CAO8zdkEjcFXGcstt9ziPN69ezeuv/56LFu2DEuXLgUAPPvss3jkkUdw9dVXt2SQCcYHgiCgp6cHglAtwT7BhII6O2YKg+gfHPT9toRXAtnSATFeYgdP3LJgRwYTEgp2Cm2Chk6hgEG7ywl2XLrPtAkc6TiD5VJUZGpUcstWKkUzWI6FI3bUKd8yacCepfv/fNWw0EPFDjnE8jC2r83eqOQ1E52g+5MO76btlMVzsOcxBwKrSs6OLM3uuOID78AJNcqxeJqzsYeT2UGOkc60DEkUYFo2hgo6MkowFxBP3Nq2HetuLGJI5xCGatzyKnYwV5PIvn9cmR2ezo72qXi66xT8ztyGrwecF1EGT3M2QePwJXacc845zuMzzzwT1113HS666CLnuS996Uv4n//5Hzz22GO49NJLwx9lgnGBKIqYNm0S3WTwhvap0KR2pMw89P63ASzx9baEV3Jhx7pGhHlTNtHgiVuvwMZRZNAGrXRDWmW7OEOs0i2lklvRqUEP5naQLX+OJhaQagcIBVU1A2mBrgKG2OWIlbFIAfe1EjnVwGx2bIW8Qn3wwj2BVcAxcxV875iD0f4A+TufcOi+Nd/H05yNPRT6XcDabwoCutsU9Oc0DOZ1zMoGO6Z54lY1LMdF11krs4NXsYOe7+QmzyHO51XhttTljS+xw6YB4RITz12ZHZu8AkoBFHUS4hknZwdPczZB4wh8xD7yyCM45ZRTxjx/yimn4LHHHgtlUAkmBqZpYuPGjYmdK6oQBOTb5wIAxOHNvt+W8Eou7JjdPsxsgYkGT9x6BTay9rMdKNTcLs5wuqUo5cdlJbfMmRF0pVKxWVZN7eOeBaTaQZwd7s4tIV7siwot2WnyRiWvmU4ZS+g3bZkeAEC3kMMZB3SVnqc3DdXA05yNPdiccAl8PU5uR/BjjyduWccNQQDavVbqOS9jYec7ydZhj+0/HRjVuBV9lglGDYL7+8SyXM6OKgGlw9ux38hzWCRsQjpGzg6e5myCxhFY7Jg2bRp+//vfj3n+97//faKOcQ5RFDFjxowkqCfCMLr2BABkRrf4fk/CKxE7nK4RYbbInGDwxC0LdnSbRVluR5dQgADUDHaMKxwbdMXFciW3Ir14lwPmWMhU7JDriHyO2BHA2aEVXUF1ITo7pJBWZXOaUXINhX3TRmvcURwG1KHS/yHVNszyNGdjj4rWswDQTXM7hrxu+OqAJ25zLJw0JUP0ypfRqJDJqbNDSpHzWRo6dLN5saMat7IjdvDl7BBTrusgo+icz7qEKmUsm/6CL/f9O66Sfx47ZwcvczZB4wjcevbaa6/F+eefjyeffBLHHHMMAOCvf/0rVqxYgR//+MehDzDB+IHVriWILoQpewHbgK7iNv/vSXiFapSCFOUYZnbwABbseME9qyAAsAHkaEcWdkNaK9gxrmA24sqVwUpumS1bsoMJAClbB4T6Ip8TkBpA7DBUcpNoQoRU5yY/CNiqrBxwXytRKGpoE+hnhC52dJOf6jBQpGJHHVcHwNecjT2cMhaX2MGcHQ2IHTxxWzOvA+C+jIWVq6ahQTVMpJq8Qa/GbSkAmi/HaNl49YJz7upElYBSWuqliRm0xcjZwdOcTdA4As/+c889F8888wyy2Szuv/9+3H///chms3j66adx7rnntmCICcYLpmliw4YNiZ0rwlCmLQAATNV78cxru3x1rkh4BVTdQlogF6+VK+g8gzduT1k8B7d96gjM7iYcjNAylrntBm771BE4pUawY1zBLpYrj8tKbtnFuxLA7VCeVVPnuGfdXnT/ZTI6LWNREe6qJluVle3GWoAyqIWR0i9h37SlXc4OJnZk6osdvM3ZWKNGGctQA+1neeKWlbF45nUA3IsdkiN26FANq+nPq8atzGkZS7Y9A42td+v5stazI17ODioInnTIXnjfwbPHa5gtB09zNkHjaGgp5phjjsG9994b9lgSTDBEUcTcuXMTO1dEseLl7XhyZR7fAmk/+8Gf/BVzujNYfvqimjeJCa/E2cG6RkDiy25aCzxye8riOXjvotm47cnXkPsTuSD96nv2gDgJhQ6geoBoJbesDCWI20E3bVdWTR1nB7P0m/7FDubs0AXF93v8oBFhxwt6fhgA6fwjhR0gyIQN2wRGeulz3XXfxuOcjS3k8oBSAOhpJ12JBgvBjz2euHXKWKo6O1hmB59iBws5TsEIReyoxi1z2vHmGL3m9EXAe14hIrfS4fDdKRQw7BVQytxPMl8Olnrgac4maBy+2B0eHi57XOtfAn4hCAKy2WzSgimCWPHydlxwzyqszZEQqb2FbThWXIe+oTwuuGcVVry8vep7E15Jiji76QszSHGiwSu3kijgHQumImfTDiPswnoSQqoSIFrJLbuYTtn+xQjVMJGhzo5Ups5FKr05EAK0tjU0JnakfL/HD5iwk0JzYodRJMeVJrWTJMYwobQDIr1RHHyb/PRZxsLjnI0lnDKW0jHPylgayezgiVtWxtIV0zIWyOSclIYOVW9+1b4atwp1n3HZ0r5jOgkmFcXy1rNe4bxM7OCsXKceeJqzCRqHL7FjypQp6OvrAwD09PRgypQpY/6x5xPwC9M0sXbt2sTOFTGYlo1rH1yH94nP48epmwAAWaGAX6Sux1/SX8Iy8Xlc++C6qiUtCa+sGwv9Ag8xSHGiwTO3XRkFIzSgFNpI7Y1jDOZeqAwQreSWOTNY0K4fuLsQ1RM7WBmNGMDZYdILYEMMV+xQmLOjyTIWs0iOK0NqwQW6IJTEjSHaHcuHs4PnORs7OGUsHpkdDZax8MLtiOPs8MhfMPWSw4vTbizsez4taKGVsXhxy85R3Le0p+eylGCi6O6yxUDnyP97ZRBbBjxe5xQ8zdkEjcNXGcsTTzyBqVNJQv6f/vSnlg4owcRBFEUsWLAgsXNFDM+/2Y9DR/6M25Rbxrw2G/34gXILLhgBnn9zCZbu49EHPuEVqqYhJdAvsxiJHTxz25WRkaOZHVAnp7PDtm2nNaycKi8zqeRWcbkdDNOCLNXnvKgZmErFDqGO/bghsUMlK+KGEK5bquTsaE7ssOlxpcstWp3OdAOF/pKzw0dmB89zNnbw6MbS02Q3Fl64zTkBpR4laMzVAXDs7Ch1YwmrjKWSW8O0HPcZb2UsD6/ZjsE/3ojD2nfj4A99FZhxEGwIEGBDVEdgWXZ5lx46R17tN3FgCN1togKe5myCxuFL7DjhhBM8HyeIFwRBQEcHp19sMUbfcA7LlbsBAJWNKkQBsGxgufK/eGH4MwDGih0Jr4Cuuaz5MStj4ZXbbEZxurGYxWHEJ9/dP1SjFJyrpMd2Y3Fzy8QOdvHuR+xQNRWiQC9M6xz3Ir3xkwLkZJi0jMUM29nh2le/wo4XmNhhyS1qN83EjSHaCtxnGQuvczZ2UOhx4SF2NOLs4InbUZrL0OUVUMrEDlEGpHDn9rjBldkxGlIZSyW3mmkhBfJ3VOq09o4ado6oOHToLzh45DVg4OPArIOBdCegjqADeYxqBrIZlxB28L/g+uc0rDL3xkeV+AgDPM3ZBI3Dl9jxj3/8w/cHHnrooQ0PJsHEwjRNrFu3DosWLYIkTcZbj2hi3/wazBX6q74uCsBc7Ma++TUA5o95PeEV0NXSxWycnB08c9uZkTFKy1jMwsjkFDt0y8nUkCsCRCu5TWXIBRkTOzp8aHZ60f9x77S2DdLthXaxMMVwBURWcpMWdOQNs2Gxg920WUoLnR0AMPR2+e81wPOcjR1YBw3DndnReEApT9yO1ipjYYGtqY7ws27GC6yMBeGVsVRyq9UQq6OOtCyiaFMhi5aoCOksoI6gCwUMF/QyscOc/0/4iU66TmXkaB/bQcDTnE3QOHyJHUuWLIEgCLDt2tYlQRCSuieOIYoi9t1338TOFTEc1OWvPrLadgmvgEGdHSZESFJDTagiCZ65lUQBukRuQq3i5MzsUA3TydSotEFXcstaG6ahY8Tw9z2ru2uv6zg7WEAq6w7jB5ZGtjVDXv1Nuf4WmlpEu5fV3gdEnTg77FblDjAnB7tZ9lnGwuucjR08u7E03nqWJ25Ha5ax0LLCVomE4wF6TkoL4ZWxVHKrGpZTasdbZkdGkVAAPW8zZ1M6C2Ar6chSMABXDGPR5Y7JKPERBXiaswkah6+r/jfffLPV40gQAQiCgLY2vk7YkwFil7+e5tW2S3gFTLXUNSI+X9P8c2unOgEDsNXJKXa4uwQJHt1YyrilYoUimCiqGoD6vGv0uFeRQrrOCi3rJhCkta1NVwTtkNs5u10uZB+6Gvockd7ECq0SOyqdHJmeum/hfc7GCjW6sQwXDZiWDamydrQGeOKWlbF01ipj4TWvA3A5O3SoPsXhWvDiVtUtdDgt7fkq90nLIopjxA5yns0ij+Fiudinv70KRwkb8Jo9D2k5PsIAT3M2QePwdcTutddevv8l4BemaWL16tWJOydq2OudQHYubHhfdNkQgOw8sp0HEl5LLTKNkFtkTjR459ZZcZ+k3VhUw3Rs0JXOizHcym63QwF+YDgiX31nhERt2EqgMhbi7LBCFjvcNw5a0d++en6MQW7ahHSLy1gYfGR28D5nYwVlbEApEzsAYDhgSClP3OY05uzwkP9jIXaQc1IKBlQ9nDKWSm410yyFKHNWHuvp7KDOtE4UMELFMIb2x/8dv05fh3+SXykPLuUcPM3ZBI0jPvJcgqYhiiIWLVqU2LmiBlECTrkRAjBG8CDp2QBO+RbZzuvtCa8waRlL2C0yJxq8cytkyEqS6E7/n0Qgzg7vlshjuHWJIXrRX2kbCxDVfYh8Cu0GowRwdrCLZEsK+UJfEKCC3HTqPoUdLygm+TuJmcacIXVRKW74yOzgfc7GCiyg1NV6VpFEdKaJ22EwoNjBE7fsZrZmGQuvbWeB8syOEAJKvbgtaoaryxtfwecks4OOucLZ0SXkxwh9NnXJGZyJOvXA05xN0DgSdhOUIQnoiSgWnQF89G4I2TllTwvZucBH7yav18Bk59XSW9M1IgrgmVt2Eyrpk7P1rDuzw2tlsIxbUYJOK0/9ih0GzezwI3bIrta2fiGwNrUtuNDXQhQ75FaJHWPKWOo7OwC+52ys4LSeLZY9zdwdjbSf5YXbmgGlsXB2kHOeJNjQdP85RLVQya2m8tvlLZOSoIvlAaVMvO1EYUwZS5qK4Led80/jNsbxAi9zNkHjSMSOBA4sy8KaNWtgWc1b/hK0AIvOAC55Gf3v/DoAYLM9E7hkTV2hI+EVsHTWNSJeYgfv3Mpt5OJKtoqAadTZOn4oaiYygrfY4cWtzgQAzZ8AYNLj3k/5FsvJSNkaTKt2GDlDSewIf7VPoxZrw+e+VsKybKQs8l65rVWZHRXiho8yFt7nbKyguAJKXQH8TOwYzAfryMITtzkqdnR5OjviIHaUzkmmVqyxoT94no/dAdBhl/K1GEfMn4Jzv/oD4LINwPGXkyfLnB0V38d0wUhMtaiN9wSBpzmboHEkYkcCB6Io4pBDDknsXFGGKEHe+zjyEBZ0u37tZMIrYNGVnbBbZE40eOdWaXPdHGqTz91RJlpUrAx6ccscGobPi/dS+Vb9497d7tVvoJ9gtE7sMGjOiN99rURBN9EJ8l6lrX55SUMY4+zwV8bC85yNFZxQYBswS8KG05GlgTIWXriNfUCpS3wwtOadHV7csvOrBQGQGusYNaFonwpk55R4puevLo+AUqdjkRKvME+e5myCxhGY3bfffhtbtmxxfn/++edxySWX4Ec/+lGoA0swMUhCeqKPju5pAIBu5HxfjE12Xm26wh16kGIEwDO3He3tUG16sT0JxY6y8E0PwaCSW42KFobP0o4g5VsKbZ2Yhu470E+kzg5BCX9elYSdxpwdOc1AuyN2tLj1LAAIku+bQ57nbKwgu27cXCGlTOwYbKD9LA/c2raNUc1PGQvHmR2i6Aimpuav7K8eKrllYrUOBajT7YoLOM6OAtZuHcKzr+92XH4mnR+3PbN9wobXKvAwZxM0h8Bixyc+8Qn86U9/AgD09vbive99L55//nl87Wtfw3XXXRf6ABOMHyzLwrp16xI7V8QhtfUAIF9IQ7n6NwIJryWxI+wWmRMN3rntysjIgd7kT8L2s8wG7bUy6MUtK0cxfQoAtu6/W4rsFjuMgGJHK5wdVKCx9MacHXnVRIdA3iukx6GMJZP1dcPD+5yNFSQFEOhlcFlHFnLsBXV28MJtXjOdqp3aZSx8lyyYItm3Rs8hbniej6ljxE8mUtQwUtRx/Q/vxor/Ogf28z8BAKzZRfatCwU892Y/Pv7j5/CuG5/AijXbINFcjxe2Np6hFEXwMmcTNIfAYsfLL7+Mo48+GgBw3333YfHixVi5ciXuvfde3HXXXWGPL8E4QpIkLFmyJAnriTpcVunR4YG6mye8AjCY2MHfRUkt8M5tV0bBqE1XV9XJ5+xgNmhdSI25UfbiNqgAYDNnhx+Rz+leoKOo+ctPES1ysS8qrStjabTenjg7qH29VSvU7rIVH3kdAP9zNlYQBM+OLKXMjmBiBy/csnBSSRSQUTxuA+JQxoJS2WoYYocXt5bT0p7DEhYAA2+txSmjv4O14WGseHk7bl3ZBwDoFEpzoXeoiAvvfQl/3OOL+I7+UVitEo4nCLzM2QTNIbDYoes60mlyAnnsscdwxhkkHPHAAw/E9u3xszdNJti2jUKhANv2F06XYIIgp1AEmYP5od11N094BUBXoOPm7OCdW+LsoGKHNvmcHYZzsTxWhPPill28+xUAbJqpYfnJqqGZIaJgQ/VZ4y5bJOdATIVfxx10XyuR18zSRXurxI60S+zw2YmF9zkbOzgdWTzKWArBAkp54dbpxJKSIHi5keLQehalc4gdgtjheT5mAdAcBp9nFAkFGgJtaXlc++A6DIMIf10olf3YACyIuHzrcbjV/CBEhW+3TyV4mbMJmkNgsePggw/G7bffjr/85S949NFHccoppwAAtm3bhmnTpoU+wATjB8uy8NprryV2Lg6QF8lFSHGkvrMj4bUUpGjHrEc879x2ZRSMTuIylloBol7cmo6zw6eVmJVv+WmLrl/DpgABAABJREFU6JobZV0Gar2Fih1SKvx5xfbVNhp0dqilzI6WrVCXlbH0+HoL73M2dmA3b64b4h7Wejags4MXblk4aVemiiMhJs4OS2Lny+YDSj3Px/T8bXJYxqJIIlSBfC/kRkewfaiIEZvMBbezAyCCxxDtzuLpBOIYvMzZBM0h8FF744034oc//CFOPPFEfPzjH8dhhx0GAHjggQec8pYEfEKSJBxyyCGJnYsDFGUidmij/XW3TXiF4+yo7HjBO3jntisjIzeJy1gsGpzntTLoxa2TveF3pdIIkFXjmhu+xQ6bzCuphc6ORldl85qJDlbG0irrtSCWuj6YOmDVD7rjfc7GDqwEyxjr7Aia2cELt46zwyucFIiN2GGz82qDgqkbnudjp8sbn2UslkSOfZt2WhmlLku3swMAMlBxuLAR+wtvIy1H+9gOCl7mbILm4NFzqjZOPPFE7Nq1C8PDw5gyZYrz/Oc+9zm0t8fL3jTZYNs28vk82tvbva2NCSIDTe4CNEDPDdbdNuEVEGhbwVYEKU4keOe2KyNjl1PGMgnFDtYlyMPZ4cUtEzssw5+zQ2AX+X6Oe0GAihTS0KAX/X2+4jg7whc7nFVZo7FV2XyhgLRAb1ZbcdO27gFgxZUlIfXt54BbFgOn3AgsOqPq23ifs7GDRxlLlmV2BBQ7eOGWiR2d6Sq3ADEpY3HE4QbPIW54ccuEWF5b2ltyG2CVzuOOswNFCLBg0/XwhUIvfptejj67BzcrD07YeFsBXuZsgubQkB9JkiTouo6//OUv+Mtf/oK+vj4sWLAAM2fODHt8CcYRlmVh06ZNiZ2LAxgpYp+2CoN1t014BSSTdmVoQZDiRIJ3brMZBaM2K2MZntjBTACY2GF6BOd6ces4NHzasoWAjian3avP1raKTS6S5ZaIHQFdLBXQ8q6yqLBv2tY9ANx3NjC8rfz54e3k+XUPVH0r73M2dnDKWFzODtqNJWhAKS/csjKWzmplLHSln3tnBxOyQnB2eHFrGaylPX9lLEDJ2ZFGEXO6M46zQxRsdKD0N8uAnOeLthI7ZwcvczZBcwgsdoyMjOBf//VfMW/ePJxwwgk44YQTMG/ePHzqU5/C0NBQK8aYYJwgSRIOPvjgxM7FAawUCcazi/XnXMIrINKVi7iJHbxz6w4oNYuTL7PDdi6Wx4oRXtzaAVcqxYCOJp12FTB8hoIq9CJYSYcvdjj7aja2KqsXyPGkC6kxbX2bgmUSRwe8Au3ocyu+WrWkhfc5GzsoY2+IS2UsWqDgQl64zWnM2VGnjIX3MMomzyFlH+XFbZAA6AjCpvyKRhHLT18EFQo0m+xfJ4j4JwBoE8h5fs9Z03DVqQdOyFhbBV7mbILmEFjsOP/88/HXv/4VDz30EAYHBzE4OIiHHnoIL774Ij7/+c+3YowJxgm2bWN4eDhJJeYBNBhPVOuLHQmvgNTCFpkTCd657UzLzmqSnp98zg4nQNRD7PDilq1UCqY/MUK06HY+j3uDBtaxLjG1YFo2UjZZ+W6Fs8NpE92gBd0skuNJF0Me21srxzo6ymADw1vJdl6vcj5nYweZHh96KaeAiR26aSOv1c9hYeCF25FivTIWltnBdxkLc7QJIYgdnudjFnzOqbPjZ5d+CLjoJUgXPY9TFs/BbZ86EnmBdmShIaWzuzP48ol7AAAEpT12zg5e5myC5hBY7HjooYdw5513YtmyZchms8hms1i2bBl+/OMf48EH41XLNdlgWRa2bduW2Lk4gNjWAwCQtPo3iAmvgERXuCWFzxWYauCdW1kSoYnk4sooTEKxg60MSmPFCE9umdgR0NnhV+RjQamWD7FDNUwnEyOVCX8FmAlAjd6omEVyw6bLIY9tdEdT2/E+Z2MHhYkdJQGxTZGQksjlcZCQUl64LWV2eDiebNuV2cF3GYvTTtsM1kLYC57c1nDm8QBJSQPT9wW65wEATlk8B91TSFfNLuRxwQn74Okr34Mj59E5ooQvak80eJmzCZpDYLFj2rRp6O7uHvN8d3d3WWBpAv4gSRIOPPDAxM7FAaT2HgCAote3/ie8ArLNbvri9WUdB25NhVxQW5OwjAU1AkQ9uXUu3v0JAMzRJPh0XjCxw/SRk6HqFtItLGMJKuxUwqKtjI2wxY7OWU1tF4c5GysoY50dgiCUQkoD5Hbwwm1OrVHGYhQBm974cS52sLJV0acTrhY8uWUiCqfODi8I6S4AxNkxpUOBJApOns26XTqe3rhrIocXOniZswmaQ2Cx4+tf/zouu+wy9Pb2Os/19vbi8ssvx9VXXx3q4BKML2zbxuDgYGLn4gCpTiIsZoz6q+EJryWxQ0rFr4yFd25NapVmN6eTCc5FuEeAqBe3zKEhWn7FjmDODtZVwPIhdhQNE2mQG8FWzCvBsaA3uCpLV6dNOeQbtr3eCWTnglSze0EAsvPIdh6Iw5yNFZjYURFiyUpZBgv+jz9euC0FlHqUsbASFoB/scMp+wsWNOsFT24Nemxw2tL+tidfx4O3XIgtv7gEYGH3abKY3YkCdufo/lGxY/Owjc39/tqS8wJe5myC5uCr9ezhhx9e1pJn48aNmD9/PubPnw8A2Lx5M9LpNHbu3JnkdnAMy7Kwc+dOdHV1JSpnxJHunAoAaLPqt+uc7Lzatk26RgiA3IoV6AlELLhNdQIFQFAnX+vZUrcU7zKWSm5LK5X+xA6ZtYb16WiyqLPD1n2UseiWI3b4am0bEILCXCwNrsqq5KbNCjtkUZRIe9n7zgYRPNwXyfQ66ZRvke08EIs5Gyd4tJ4FgB7q7BgK4OzghdsR6uzo8MrsYCUsclvVY5gXiPQcIvkUh2vBi1vnPMxpGcvqtwdw9sCv0DGoAu+7GGjrARxnRx67R6nYMXcJ7s/+K/60qxvvVhpq4hlZ8DJnEzQHX2LHBz/4wRYPI0EUIEkS9ttvv4keRgIfyGRJXWWnnUdRN5FRqp+kJzuvmmmVghRjJnbEglt6cSVok1fs8OoS5MUt287vxbtik+3ktD8xgtWe237KWFQVskDt7i0QO9hnMndKUAg6C1nsCmtEJSw6A/jo3aQrizusNDuXCB2Lzqj61ljM2TjBKWOpEDucjizBylh44LZUxuIldsSj7SxQcrSFIXZ4no/Z53IafJ5RJBSRQgfU0vFPw+87UcDro3T/5h2JX7RreN7qxykxCyjlZc4maA6+xI7ly5e3ehwJIgDLsjAwMIApU6ZAFOOl3sYN7V3E2ZEVchgu6DXFjsnOq2pYTpCi0oKuEROJOHArZcjNqGRMPrFDdMSOsSuDXtwyh4bks7RDccq3fDo7aFCqbdQXO7Siy87cArGDrcr6LdmphGQwsaNFN22LzgAOPI10XRndQTI69npn3dXwOMzZWMEpYykXO5zMjoABpTxwywJKu2qVscRB7KDnPdkiLYTdDvWg8OKWnb9Fmc/MjrQsooA0gJHS8e92duRK3zOqQboSZWLo7OBhziZoDr7EDjcKhQIeffRRvPrqqwCAAw44ACeffDLa2uJ1EzEZwWrXenp6JnooCepAbCN1lVnksb2gY2a2+s3GZOfVbbdvRYvMiUQcuJXbyEqSbMSrFtgPnEwNeexx6cUty8aQbb/ODlq+5fO4t1ntuY9QUN3dsaUFNessTFiyGqu3l2ngpJhuYftMUQIWHhfoLXGYs7GC03q2IrOjjdzABgko5YVbJnZ0pGqUscRA7GDnyxQM6KaNlNy42OHFrciyQHh2dtgpUn3HnB1p8n2chauMZWgLZhXfRA+UmgtrPIKXOZugOQQSOx544AGcf/752LWrPI13+vTpuOOOO3D66aeHOrgE4wtJkrDPPvtM9DAS+EGmBwDQKRQxmCsAqG7Vnuy8qq4gRYHTILFqiAO3Sju5uEqbOcCygEm0uiKxlUEPMcKLW8m1UlkPJKtGBwQglfaXW+G0e/Xh7NBVIiZoUJBqYsW0GkQm7DTo7JBNKnZkWih2NIA4zNlYQamS2eGUsfgvo+KFW18BpTEQO2TKbVrQoRomUnLj3y1e3LJzk9iKMr5xQFoWUQR1pTCxj/J+kPAW9s6tgm0eD+HP38GPRu/CTdKHkZbfN0GjbQ14mbMJmoPvmb9y5Up8+MMfxvHHH49nnnkG/f396O/vx9NPP43jjjsOH/7wh/Hcc8+1cqwJWgzLstDX15f0m+YBtK4SAPJD/TU3ney8Fl0tMluSLTCBiAO36XZXK3M9V33DGKJWlyAvblnmDCtPqQXNLJVvyRmfx30AZ4ehkotjXWiNhVtSmIulscwOhYodrEwqKojDnI0VWICt0XxmBy/cjtbM7IiP2MHOq2loUI3mOPHiVgzY7SpqyCgSCo7YkQfWPQCs/B4A4FhpA/5X+gbsWw4Bdm0EABSQip2zg5c5m6A5+HZ2XH/99TjvvPPwwx/+sOz5d77znXjnO9+Jz3/+87juuuvw8MMPhz7IBOOHfH7yWcm5hKSgKGSQsYsojNQWO4DJzatqmOgSWNeIeDk7AP65bWvvhGGLJOxSHXVqhicDFEsFxOqZGpXcsnIUP2KHW+Tz6+xgYqCfbi8GLWNpldghp8hcle3gZSy2bSNl5QEJkNui5ewA+J+zsUKVbixdVAjYuGMUz76+G0cvnApJrO9gijq3pmUjr5H8BW+xg5WxRG/eBAVrPZuG3rTYAXicj5lYzanYkZZFFGx6TfTWM8Bff4jy7lKAMLIdGCEhzJedugTK7Ph9P0d9ziZoHr6dHc899xwuuuiiqq9feOGFePbZZwP957fddhsOPfRQZLNZZLNZLF26FP/v//0/5/VisYgLL7wQ06ZNQ2dnJ84880zs2LGj7DM2b96M0047De3t7Zg5cyYuv/xyGIZRts2TTz6JI444Aul0Gvvuuy/uuuuuMWO59dZbsWDBAmQyGRxzzDF4/vnny173MxbeIYoiFixYkIT0cIKCRC5G1NGBmttNdl5Vo7UtMicSceC2q01BDpQXdWRiBzOOsG3buVj2ytTw4rYkduiwbXvMe9xwl28pPsUO1u1F8CF2mC0WO6QUGbPSQDeWom6RDgMAUm3ddbYeX8RhzsYKzNnhEjtWvLwd1z20DgCwsW8UH//xc3jXjU9gxcvba34UD9zmtNL1cdzLWNj3fQoGVN1s6qO8uGV5QqKHM48HfO74fXDMF++C/YWVwLrfoVLoAADB9VxbWztkKbrHdiPgYc4maB6+2S0UCshms1Vf7+7uRrFYv87XjT322APf+ta38NJLL+HFF1/Ee97zHnzgAx/A2rVrAQCXXnopHnzwQfzqV7/CU089hW3btuFDH/qQ837TNHHaaadB0zSsXLkSP/vZz3DXXXfhmmuucbZ58803cdppp+Hd7343Vq9ejUsuuQTnn38+HnnkEWebX/7yl7jsssuwfPlyrFq1CocddhiWLVuGvr4+Z5t6Y4kDLMtCb29vYufiBJpMFHYtV1vsmOy8qrqFFOgFXsycHXHgtiujYBT0Zl+bPGKHW4Tzag3rxa2SITdmaWgwrDpihyuYV/Ap8jmtbQM4O0yxVc4OMhYFwcWOnGagA2R8Slu0ViLjMGdjBbYqT3NqVry8HRfcswoDFcGkvUNFXHDPqpqCBw/csrwORRKQ9mojGiuxg3zfh+Hs8DwfM7Hao5sWD0jJItIz94VQ6AdGeuu/YXBz6wc1zuBhziZoHr7Fjv322w9PPPFE1dcff/zxwL2KTz/9dJx66qnYb7/9sP/+++Ob3/wmOjs78dxzz2FoaAh33HEHbrrpJrznPe/BkUceiZ/+9KdYuXKlkw3yxz/+EevWrcM999yDJUuW4P3vfz++8Y1v4NZbb4WmkZPQ7bffjoULF+K73/0uDjroIFx00UX48Ic/jJtvvtkZx0033YTPfvazOO+887Bo0SLcfvvtaG9vx5133gkAvsYSF7C/W4LoQ1fIRbyVH6y77WTmVdWN2GZ2APxz25WRMWpTsUOdPO1nVd3VErmK86KSW4VmdpDAvdoXZ6puIC0wkc+n2MHKWHyEgloauTk0WiR2KI6Lxaiz5VjkVRPtAhlfS7uxNAje52ys4HRjycO0bFz74DqP9e3Smve1D66DWUNojDq3uVp5HUApNylOYofQfGYHMJZbVmLHspS4xWhtlzo73H+2VkexSYdMFBH1OZugefgWO8477zx85Stf8czk+MMf/oArrrgC5557bsMDMU0Tv/jFL5DL5bB06VK89NJL0HUdJ598srPNgQceiPnz5zvlMs8++ywOOeQQzJo1y9lm2bJlGB4edtwhzz77bNlnsG3YZ2iahpdeeqlsG1EUcfLJJzvb+BmLF1RVxfDwcNk/AI6CaFlW3cemaZY9ZtblII9t2x7zGMCYx7ZtY/78+RAEwXMby7LKHgfZj4nap3qPed4nM0WcVnZhsOY+AcD8+fPLfo/qPrWCp6JahCTQcYlKLPaJPRZFEfPmzQMDj/vUmZKcMharOOyMK048ee1TUTcc54VIL8rd+2HbNvbcc0+Ioug8r1C3QwYaCppRc+xq0VWHLKd97ZNAVyhlS627T7bOxI6xYw+Dp1LbSC0wTyNFzSljsZSOSJ336n3PxuX7iZt9oh2IbL2I517fie1D1R3KNoDtQ0U8/2a/5z6Joog99tjD2T6KPI1UiB2V21hUcLaUjmjx1Mix53Z26GZTxx5A3OjsfGwYJlJgAaXBz4FRmE9/29yPH9zxYzz35xWoBRskq+aR7W1gsl9U9ynosef1PZsgfvAtdlx88cV4z3veg3/+53/GQQcdhA996EP4l3/5Fxx44IE444wzcMIJJ+CSSy4JPIA1a9ags7MT6XQaX/jCF/Db3/4WixYtQm9vL1Kp1Jjex7NmzUJvL7Fb9fb2lgkd7HX2Wq1thoeHUSgUsGvXLpim6bmN+zPqjcULN9xwA7q7u51/e+65JwBg69atAIDt27dj+3ZiidyyZYtTNrN582anve+mTZswMEDKFN544w0MDQ0BADZu3IiREWL53rBhgxOws27dOqecaM2aNdB1HZZlYc2aNbAsC7quY82aNQBIDsm6daQuNZ/PY/369di6dSuGh4excSNJXx4aGsIbb7wBABgYGMCmTZsAALt27cLmzcTS1tfXhy1btkRynzZs2AAAGBkZid0+GTJZsRSKQzX3adOmTdi6dSt6e3sjv0+t4KlvGwnXAoC3tmyPxT4xnizLwt///nfs3r2b233SckOOs2N0N3k+Lsderfm0c2DIETsK1Lzg3qe1a9di06ZNzn7ouu60hk1DR66g1twnXXUFLsoZX/uk6uRCT7K0+scezTgwBKUlPNmC5Ozr8OhoIJ6279yNDoGMrz+nRuq8t3btWmzduhWjAfeJt+8nXvbplTeoNd8o4KV1r8EP+kaKnvtkWRZeeeUVZ/+iyBNzdsi0tLOSp9Hd5Jq2YAiR4qmhY8+d2WFYTR17mzZtwiuvvALLsrBp0ybs2NXvlMfq1DXC23xa+/oWiG8+iWN3/gqW3OaIGpXII40fGadhiz3D6cIV1X0KeuytX78eb775JizLKtunBPGCYAeUsX75y1/i//7v//Dqq68CAPbff3987GMfw8c+9rGGBqBpGjZv3oyhoSH8+te/xk9+8hM89dRTWL16Nc477zyoarmd9uijj8a73/1u3Hjjjfjc5z6Ht956qyx/I5/Po6OjAw8//DDe//73Y//998d5552Hq666ytnm4YcfxmmnnYZ8Po+BgQHMmzcPK1euxNKlS51trrjiCjz11FP461//ip///Od1x+IFVVXL3jM8PIw999wTAwMD6OnpcRRHURSrPjZNE4IgOI9FUXRWhPw+Boja6X4sSRJR8V2PDcNAX18fZs+eDQBjtrEsC7ZtO4/rjT0K+1TvMc/7tOl//w0LXr8Xv2o/Cx++/IdV98myLOzYsQOzZs2CKIqR3qdW8PS7p1fjg4+dAAAwv74Lgihxv0/u1aatW7dizpw5kGWZy30azGt47sbTcar0PPRl34ay9POxOfZqzafXd+ag/OAoLBR3wP70IxDmH1u2H7quY8eOHZg7dy5s2yb7MdoH4bv7AwBev+BtLJjeUXXsq9ZtwDt+806YECH9x4Cvfdr8xB2Y/+fL8JywBEdf/aea+/TwPbfgn9+4Fq9lj8W+lz0SOk/53W+j/fuLYdoCilf1IaNIvnl66pUdWPLzJegW8rD+7Xlg+n6ROe/V+56Ny/cTN/s0+Dak/z4Etihj5cfX45N3vIB6+L/PHotj9546Zp8EQcC2bdswe/ZsyLIcSZ7+uK4PF9y7CkftNQW/vuCdY3jCLz4J4ZU/wDr1u7CPPC86PDVy7G3/G/CTk7DZmoFXPvYMTjpwRsPHnmEY6O3tdc7Hw0UDgzcegoXiDuhnPwxl73/ibj49uWEH/n7PV3GxfD+sfU6C8PoTVO4o3RbaAN62ZuJ47Ra0KRLWXbcs0vsU9Nir/J4dHR1FT08PhoaGauZUJuALvlvPMpx11lk466yzQhtAKpXCvvvuCwA48sgj8cILL+C///u/cdZZZ0HTNAwODpY5Knbs2OFcJMyePXtM1xTWIcW9TWXXlB07diCbzaKtrQ2SRC6gvLZxf0a9sXghnU4jnR4bXMROBOxnrceSJLXssSAIZY8VRSmzxFdu42e8Uduneo953ie5fQoAQNFHau6TKIpjeI3qPrWCJ1MngqMOBYqsxGKf3I+ZY4zXfcq2pZCzyQqcXhiB0oL9GO998npcORbVsJ2WyCwrw72NoihllnjyZKk2XNNUSFK26tgN6uzQkEKbz32SaQCqYmt198k2yOczt0nYPKXSJDNAEmzouo6OTKrqvlaOsaCZaKdlLGImC0ToO7fe92xcvp+42Sea6SJYBo5d0IM53Rn0DhU9czsEALO7Mzh64dSq++Ses1HkySljoZ1YKnlimR1iugsIgbMJPfYkcs4gGUdmU/shy3IZt7qpI0UzkVhmB2/zqS0lo2CTv5HYNRv46N3AiiuB4ZIbdrc0A9r7vgs8AKQVIhBEeZ+CHnuV37Ns/xLEC2L9TcYXlmVBVVUceeSRUBQFjz/+uPPaK6+8gs2bNzsOjKVLl2LNmjVlXVMeffRRZLNZLFq0yNnG/RlsG/YZqVQKRx55ZNk2lmXh8ccfd7bxM5Y4wLIsbN68uWzVOEF0IXf0AABSRu1Qx8nOq6kRK2mrghQnEnHgVpZEqBK5ydbzQxM8mvFD0TBrBud6cuvaTlPzY97jhtFAa1inA4rtI7DNoJkYLepw5A7909wlOT5QKBSgCDRIL2JBi3GYs7GCS0CUzCKWn06uHStvedjvy09fBEn0viHigdu6AaWx6sZCzmcks6M5Tiq5dXfTEjjt8pZRJBRBvx/0ArDoDOCSl4HZhwIAvq9/AGd3/hh2di7mYSfapRofxil4mLMJmkdgZ0eYuOqqq/D+978f8+fPx8jICH7+85/jySefxCOPPILu7m585jOfwWWXXYapU6cim83ii1/8IpYuXYpjjz0WAPC+970PixYtwr/+67/i29/+Nnp7e/H1r38dF154oeOo+MIXvoD/+Z//wRVXXIFPf/rTeOKJJ3DffffhD3/4gzOOyy67DOeccw6OOuooHH300bjllluQy+Vw3nnnAYCvscQFqVT8bgjjinTnVABAmzniWGirYTLzarKuEQFu+nhCHLjVpXbAAozC8EQPZdzgbg1brSXyGG4lBRYEiLAd50Y1mA10S2FdYfyJHbS2WWrRhb7rc7VibWGnEpr7OIrgTVsc5mxs4BYajSJOWTwHt33qCFz74LqysNLZ3RksP30RTlk8p+bHRZ1b1nq2KzMZxA5yDmGZHc3Cza1qWOh2zt98dnnLKBIKoOdZmsEEUQKm7wf0/gOD6MLuUQ37/fokPJMBTlfunrjBthBRn7MJmseEih19fX04++yzsX37dnR3d+PQQw/FI488gve+970AgJtvvhmiKOLMM8+EqqpYtmwZfvCDHzjvlyQJDz30EC644AIsXboUHR0dOOecc3Ddddc52yxcuBB/+MMfcOmll+K///u/sccee+AnP/kJli1b5mxz1llnYefOnbjmmmvQ29uLJUuWYMWKFWWhpfXGEgeIolizLCdBtNDWRcpYOpFDQTfRnvKezpOdV4t2jTBj6OyIC7eG0gWogFkcmeihjBuKuukSO8ZeLHtyKwjQkEIGal23AxNDdMG/GCE7HVB0GKYFWapu/hRMterYQ4EoQocEBWZ52KoP6HnidtOEDFJitJYj4zJnYwNBIO1njYJzw3fK4jl476LZ+NiPnsULmwbw6X9agK+dVt3RwcADt6PU2dFR5XoBGnWKpqLXsjkwHGeHBlUP3sLajUpuVcN1/pb4vLZIy6JTxgLdJSh3zAQATBOGUSiMgpk/IHu3SOcZPMzZBM1jQsWOO+64o+brmUwGt956K2699daq2+y1116e7XDdOPHEE/G3v/2t5jYXXXQRLrrooqbGwjuYnWv+/PlldW8Jognm7Mgij6GCXlXsmOy8OmJHq1agJxBx4dZSOgAVsCeR2KFpGmSBrjZ6ODuqcasLCjK26pSpVIPTLaUBZwepca8jdhhM7GjdvNKQgoICdDVYQr5JWxhrUhuidhsSlzkbKyiZMrEDACRRwMLpHXhh0wCmdabrCh0AH9yOVmR2jAEt+4yHs4PMfkmwYeg+3Go1UMmtqptI08wOnp0dKjtDGq5zbMd0AMB0DEGxSk0W7jz/uPEc3riAhzmboHk0LHa89tpreP3113H88cejra2tro0+AR9ob4+fchtXCG3dAICskMdgXsec7raq205mXi0tvs4OIB7c2ulOYBSAWjt/Jk4oy9xQvOeuF7eGkAJswKzjdmjkuE/RnIw0NBR1Ex3V6voBiMzZobTuQl9DCh0oQK8j7FTCLJLjSJeiOTfiMGdjBaUdKAwQwcOFbIYEWg8VdN8fFXVuR31ndkR7P3zBJUIYWvMtRd3cam4BVubz2mJmVxo3XnYBiqOnItM1rfRCxwwAwGx5BG0my5Vqw4wsn6JOPUR9ziZoHoHFjt27d+Oss87CE088AUEQsHHjRuy99974zGc+gylTpuC73/1uK8aZYBwgiiJmzpw50cNI4BcZKnYgh7dqXIxNdl5tumJhc2o1rYW4cCuku8hPffKIHWVihYfrqBq3upgi+SY+nR2m6N95IaaI2JGBjpE6Ne4SFTvEFq5q6oIC2PX3tRIWFc0MOXqr03GZs7ECO4b18hvi7jYidgz7FDt44LZmQKlllgSfOJSxuM6rph7sHFKJSm7LxBNOnR2iKKBn+ixg+qzyFzrJfs4UR5BB60XtiQQPczZB8wjs2bn00kshyzI2b95cpoadddZZWLFiRaiDSzC+ME0Tr7/+OkzTnOihJPCDTA8AoENQMZyrHuA36XllXSMC3PTxgrhwK2aI2CFNIrGj1C1FcVqjulGNW5NmcFh1Vipt2nLZClK+RUtS0tDqBvpJ1N4spKo7ypqFIZCbTTPoqizNHbAiWGMelzkbKzBnlV7+PdrdHszZwQO3I8UaZSzM1QHEo4xFFF3nELXOxrVRya3hdubFbSGFOjumYQgZ2jFsyFBw34tvT+SoWgIe5myC5hFY7PjjH/+IG2+8sawvMQDst99+eOutt0IbWILxhyAI6OnpScqReEE66zzMjwxU3WzS88qcHZy2h6uFuHArZ8ixLBu5OlvGB/W6BFXjlmVwWHVWKm26QmsFuRCXyU1fSjBRVGvXuIsWeV1s4YqfTgXKhsWOCN6wxWXOxgpM7DC8nR1+xQ4euHUCSr2cHUzsEERu3QqVMJ3zZXNlLJXcMmeHBoWE3HKKb93/LB78wZXIPfFfpSdpZke3PYg26uzYpUr486s7J2KILQUPczZB8whcxpLL5Tzrm/r7+512rwn4hCiKmDZtWv0NE0QDkoyi2IaMVYA6vLvqZpOeV+rssKV4XLy5ERdu5TYidqQmkdjBnB3VMjWqccuCdutdvDNnh92AswMAtDoCg0ydHVKqdfPKZKuyAW9UBJ0cR3YErfhxmbOxglPG4p3ZMVz0X8YSdW5ZGUtXLbEj1cn1DbwbppgCzFxdcbgeKrktidVK5EKQg+DJf7yGr+J2WP1twHu+Qp6kzo6UrWEUbXi440NYNygho0Srs1UY4GHOJmgegZ0dxx13HO6+u9RrWRAEWJaFb3/723j3u98d6uASjC9M08TGjRsTOxdHKErkJlHPDVbdZtLzara+a8REIS7cptrJcZy28oBtT/BoxgdMrDCqlFdV45aVY9l1BADBZFk1AcQI12quXqxeGgcAMnV2SFXCVcOA42IJmNkhUbFDiKCzIy5zNlZQ6AJepdgR0NnBA7c1u7E4bWejN28ahd/zZT1Ucms452+epQ7Apm4+0SiUvntTHYBCjoE8Mrgt82n8j/kvyCjx61bCw5xN0DwCOzu+/e1v46STTsKLL74ITdNwxRVXYO3atejv78czzzzTijEmGCeIoogZM2Yk7Zc4gq50AfoOGPnqZSyTnddSi8x4OjviwG2mswcAIMIiNxxx6ARQB2yl0arh7PDilmVw1L14Z46mICKfJMOECAkW9DrdXmSbih0tzOxg4apBLeiSQYQaIaLOjjjM2ViBlWJVK2PJ+3d2RJ1bltnR4dWqnmWWxEnscM6XzbWereSWCbDVyhC5gZIBaAddGMVSSVfHdGAwh2kYxkCRCAFpOZ7OjqjP2QTNIzC7ixcvxquvvop3vetd+MAHPoBcLocPfehD+Nvf/oZ99tmnFWNMME5Iatf4g5EiwY5mYajqNpOdV9YiU4ih2BEXbts6umDZdB+0yRFSyspMzCrOi2rcOoGjRu3APcFxNAUTIzR68W7UETsUKnbI6daJHUwIsursayVkKnZIbV2hj6lZxGXOxgqyd0Bpto0IAiOqAcuq7ziLOre6aTnBw121AkpjJHawLmy20VwZSyW3Jj1/8+7sKPt+cDubaEeWPYU+dKo70Il8LJ0dUZ+zCcJBQ0dud3c3vva1r+G+++7Dww8/jOuvvx5z5swJe2wJxhmmaWLDhg2JnYsj2GnSflYoVhc7JjuvIusaoXB+UeKBuHDb1ZZGDvSmXx2Z2MGMF/TaAaLVuGUZHLZR2+0gNli+pTOxo07pCBM7lJY6O+jfRg8mdqQsKnako+fsiMucjRWcbizezg7bJoJHPUSd25xrH7wDSqnQrMRH7HDEYbP5bixubpmzrpozjxcoqRQ0mzo23GIHze04WVqFB43P4VvKT5CJobMj6nM2QTjwVcbyj3/8w/cHHnrooQ0PJsHEQhRFzJ07N7Fz8YQMETtEtbrYMdl5FU1yUya0MFtgohAXbrsyMnLIoAuFSSN2MLGiWqZGVW6peCHUEzvo60LAbimGD7FDNy2kodPhtNDZ4VPYccO2baTNAiABcgSdHXGZs7GC042l/JhPyxIyioiibmG4oDviRzVEnVuW15GWRSiSxxhj6OwonS+bEzsqubXoOalawDQvSMsSikghhUJ5GRcVO7pBjokiUkjH0NkR9TmbIBz4EjuWLFkCQRBg23aZ1cemYTbu5xJ1jF8IgoBsNlt/wwSRgdjWAwCQteGq20x2XiXq7Ghli8yJQly4zWYU5OwMIGDSlLHUa4lclVtajiXUWamUHEdTY2JHrXavqlESO5QWih3Mgl6ZpVALqmGhDWR7pT16cyMuczZWqNKNBSDnpqKuYqigY886HxN1bpnY4VnCAsRS7LBDcnZUcsvKEHl3dmQUEUWkkUWhvIyLih1ZgRwT7z10AXDU/AkYYWsR9TmbIBz4krLefPNNvPHGG3jzzTfxm9/8BgsXLsQPfvADrF69GqtXr8YPfvAD7LPPPvjNb37T6vEmaCFM08TatWsTwYojyB09AABFr74aPtl5LXWNiJ/YERduuzIyRkBumo1CdeEuVmArjVVaw1bllokddVYqRXrcBxX5nA4oNVo1qrqJjEA+P5VpXZiszW5CDf/hgnnNRKdAxp6KoNgRlzkbK1TpxgKUSlmGfXRkiTq3oyyc1KuEBXB1Y4le+VejEEJydlRya9PPs4K09o4g/vtjhyP1iXugnbsCmLp36QUqdnSBzAk504Hu9trOJh4R9TmbIBz4cnbstddezuOPfOQj+N73vodTTz3Vee7QQw/Fnnvuiauvvhof/OAHQx9kgvGBKIpYsGBBYufiCKmOqQCAjDk6xnnFMNl5lS0NEFvbNWKiEBduOzMycjbhpzg6hPhcaldHKVOjehmLF7eCQi6uWRZNNcj09aAiHwtMrdXutWhY6KLOjlaWh7FVWdZG1w9yqoF26uyIYmZHXOZsrKBUd3Z0B2g/G3VunbazVcWO+Dk7GLdik86OMdyybldVMpd4wfTONHDAcWNf6KRih0j2M28piNFR4SDqczZBOAjM7po1a7Bw4cIxzy9cuBDr1q0LZVAJJgaCIKCjoyNJJeYIbV1TAABdyDkXMpWYzLzatg3JaZEZP2dHXLhVJBEFkdw0a/nq+TNxgnMDX6OMxZNbKi7Uu3iXmLMjoMjHatDtGqGgqm46ZSxBA1CDQJDJWIKsyuY1E+2g20dwhTouczZWqJLZAQQTO6LO7WQUO1gXtnricN3PqeTWETv4dnZUBXV2MOF45eY8XuuLX55W1OdsgnAQWOw46KCDcMMNN0DTSrZSTdNwww034KCDDgp1cAnGF6ZpYs2aNYmdiyMoHUTsyAp5DOa9L8YmM6+6aSNFb8ri6OyIE7eaSC6w1fzkKGNxgnOrHJfVuGVlKVI9Z0eDIp8lslDQ2mUsaYGJHS0UEZ18Ev9lLDnNcMpYonjTFqc5Gxs4rWfHOoiyrIyl6K+MJcrcsjKWSSV2MGeHVZ+/WhjDLROrORc7Hl6zHffefRte/e0NQN+G0gtU7EiDnHv/3qvi7YHm2vdGEVGfswnCga8yFjduv/12nH766dhjjz2cziv/+Mc/IAgCHnzwwdAHmGD8IIoi9t1338TOxRNoN5YsclUD1CYzr6phjkvXiIlCnLjV5XZAB8xJInZI9GJZqFHG4sWtI3bUEQBYa1g5oMhnUadGTWdH0RVk10JnBxpYlc2rbmdH9G7a4jRnY4MQy1iizK3j7JhEAaUiPT9JIZSxuLkVaI5QtYBpXvD8m/04ceP/YX/p78DCvYCZB5IXOmYCABQY+D/jRKy35+O9MWw9G/U5myAcBBY7jj76aLzxxhu49957sWEDUQHPOussfOITn0BHR3xOkJMRgiCgrS1+N4SxBu3G0i3k8HqVi7HJzKtqWM4KtBLTMpa4cGvInUTsKE4SscMpM/E+LqtxyxxKzLlRDYqtAwIgp4MFiDq27BodUHR3p5YWOjtYuGCQevucqqODWq+Rjl7r2TjN2diABZR6uJmyActYosztZCxjYc422dKq5pr5QSW37JwkcC52ZBQJBdDcEXc3lrYpgCACtoWvGZ+BBQmXx7D1bNTnbIJw0NCR29HRgc997nO46aabcNNNN+Gzn/1sInTEAKZpYvXq1Ymdiyc4zo581YuxycwraZFJywVaabefIMSJW5PmK1jq5Gg9KzkBotXLWLy4LV28VxcALMtGioohgVvDOmJH9c/XVXJTaEIExMBrJr4hOmGs/i3oamEEomCTXyJ40xanORsbOK1nPcpYqAtiuOCdieVG1LnNTUKxg2UWpaDBsOyGP6eSW4GK1S0t4xsHZBQRBdBzvtvZJIpA+3TyEOTvlomhsyPqczZBOIifTJegYYiiiEWLFiV2Lp5AxY42QcPwaM5zk8nMa3GcghQnCrHiloVJqpPL2VEtU6Mat8zZodRwdmimhQwV+YKWb9lOTkZ1scNQyQqgDgVoYbCbSIWgWsJOJdQ8EcssCKUV+wghVnM2LmCCo3tlmyJoGUuUua3v7Ihf61nWjSoFA6phNfw5ldyWnB18d2NJyxKKNm0pWyn2dZJSlg4UIMJCJobOjqjP2QThIGE3QRkkKX7KbayRzjoPC6MDVTebrLyquuUSO/hegamGuHAr0DahouYt2sUJtm07YkWt4FwvbhUfYoeql8q3UgHLWJgtW6hRxmLQMhZdaO2FPivxYcKQHxgFIpZpYltLhZhmEJc5Gxs43VjGHvNBxA4g2tyO0IDSjknk7GCZRWlBh6o3t3rv5lZkZYgtbL09HsgoIoqOs6NC7Osgzo6/Zz6Po8UNSCvRPbabQZTnbIJwkIgdCRxYloU1a9bAshpXvxOMM0QJRdrFQqsidkxmXlXDREqg9uMYOjvixK1A8xVEPf5lLKS8qnZwbjVu2fYpm9Sge3++K5g3aFYN615Qw9lhMmeH2No5JdEylnr5JG4YBdIeUROjeRMSpzkbG8jVnR1ONxYfYkfUuc1NwoBSJt6moTXl7KjkVnbEDr6vK8ozOyoyazpmgH3FFOwUMnL8bhmjPmcThIP4HbkJGoYoijjkkEMSOxdn0BRyk2jkvcWOycyrO7Mjjs6OOHErtRGXkmxMArHD5TiSU97Oi2rcKhmyfQo6NNP7Aq3o+nzWetEvBHrjV6u1rUmdHUaLnR1+w1jdsIrk+DHk6JWwAPGas7GBU8ZS3dnhp/Vs1LllZSxd1ZwdOhM74lPGAkfs0JsuY3FzW3J28H1dkZZFFG2PgFLA6cgCAKbUhp52vkt2vBD1OZsgHDSULDY4OIhf//rXeP3113H55Zdj6tSpWLVqFWbNmoV58+aFPcYE4wjTNJNJzxkMJQuovTBzg1W3may8xj2zA4gPtwoVOxRj7Opq3FA0TGSE2pkdgDe3rCwlLZCL97RHaJyqGw2LfKIfZ4dGA0rF1l78yk7Jjv+AUktjYkd0V6fjMmdjAyZ2mCpgWSSckcJdxuKnm0eUua1ZxmLbsXR2sPMfyexorozFzW1cnB3vXTQLw92XYrjwEWRn71P+Ysd0pxJw2JShGibaU60LpJ4oRHnOJggHgdn9xz/+gf333x833ngj/uu//guDg4MAgPvvvx9XXXVV2ONLMI6wLAvr1q1L7FycwWK5HcUh79cnMa/ucoE4ih1x4jbVQcJ201b8xQ63s6Nal6Bq3LKylDR0qLo376quQWIdSQIe98wJUsvZYdEVcLPFZSxsX2vlk4wB7eZjRtTZEac5Gxu452BF+1kmduimjUKdzIeoc5vTapSxmBpg0ZLPCAb7Ngy3s6PK+dIPKrmVqQBbS6zmAV0ZBfP2WYzs4lOA6fuVv9gxw3lYsFPYPRrgPMwJoj5nE4SDwGLHZZddhnPPPRcbN25EJlOa5Keeeir+/Oc/hzq4BOMLSZKwZMmSJKyHM9i0I4ugeosdk5lXVTeQdjI7+L4o8UKcuE1TsSMzCcSOolHfcVSNWyZGpKGjWOXmSyu6/oYBj3vJRyioTYMcTanVYkdwZwdbnbaUaK5Ox2nOxgbukMmKUpb2lARJJMvb9drPRp3b0WKNbizuYOhYOTuo2CE0l9lRyS0TYOUaAdPco22K81BFCrtz8RM7oj5nE4SDwGLHCy+8gM9//vNjnp83bx56e3tDGVSCiYFt2ygUClVD7xJEEyIVOyTNu2XnZOZVV12rdDF0dsSJ20wnOY4VGIDhv9UojyDOjtplJlW5lZnYUf3ivfy4D1jGwnIyaokd9IbQklpcxsLCWOH/IluIeO5AnOZsbCBKADuWK5wdgiD47sgSdW5zKhFHvcUOmpUkpQFJGcdRtRhlmR2Nl7G4ubUsGzIVqyXOMzu2DRbwg9/9CU/c821g3e/LX6Sh4QBQQBq7R+P3vRz1OZsgHAQWO9LpNIaHx95Uvfrqq5gxY4bHOxLwAsuy8NprryV2Ls4gtfcAABTdW+yYzLyyIEUAsXR2xInbDip2AHBKEeKKomE6rWGrHZdVuWU16IIJVfMWAQwqdmhQArdfZaUjtUJBmbPDarGzI+Uq2TGqhLFWQtKjnTsQpzkbKzgdWQpjXvIrdkSZW9UwnUBjzzKWOOZ1AOWZHU2WsTBuNdPdTYvv64r+nIYXn38a73ntm8DTt5S/2DED/XYnHjCXQocY2zKWqM7ZBOEhsNhxxhln4LrrroOu03pjQcDmzZtx5ZVX4swzzwx9gAnGD5Ik4ZBDDknsXJxB6ZwKAMiYI7Csser0ZOZVpy0yLYiAGL9grThx29WeQd6mN8/ayMQOpsVwZ3agyspgVW5dDiWtOPbGDAAM1hq2gW4ppdKRGhe2VOywWy12tDFnh1G180wlZIPctInpaDo74jRnYwWlutiRpeJAvfazUeaWlbAAQIdXyKQWbUdUw/DhhPMDN7eqYSFFz98K52UsGUVEkbWeNSq6EU1diI32HviS/kWIAHbl4ufsiPKcTRAeAosd3/3udzE6OoqZM2eiUCjghBNOwL777ouuri5885vfbMUYE4wTbNtGLpdL7FycIU3FjizyTtq6G5OZV1MnX86GkAq8ws0D4sRtNqMgB3Jhque982figvIuQdXLWDy5dQkMuuadb2LQbikNiR3pkthR9bii88qWWruqqdC2vIpgQqviYqmEbJK/iZjpqrPlxCBOczZWYKKjl9gRoIwlqtyyEhZ3BkkZWBlL3JwdtDyJdK9qroyFcasaJlIg11oy5wGlaVmq3npWaYMq05bwMGPp7IjynE0QHgKLHd3d3Xj00Ufx4IMP4nvf+x4uuugiPPzww3jqqafQ0RGzk+Qkg2VZ2LRpU2Ln4gwyLWPJIo/Bwtgvo8nMKytjMVrcInOiECduOzMyRm1y4VgYjbfYQboEscwOb3dEVW4lGQbIKlRZNocLzRz3TOzIQINuel8ACmaRbRz48xsZCwCoVfa1EikqdkgRFTviNGdjBdaBxGiujCWq3I6oZOyeeR0AwITTuIkdcqkUrhlnh5tbVbecMsRq3bR4Qdrl7LArhT5Th57qgQgLCoxYZnZEec4mCA8N+7rf9a534V3veleYY0kwwZAkCQcffPBEDyNBUNCA0qyQ87wYm8y8WvTL24yp2BEnbhVJRF4gNxzF0SFkJ3g8rURR0+t2CarFrSakINsFJ5ujEiZ1dhgNODsUKjCwQL+UPHZNRGABsnKLLdxuF0uxWGPDElJWARABpS2advw4zdlYgc1Dfexx5tfZEWVua3ZiAVxlLDFqOwtUtJ5t3Nnh5lYzLWRj0tI+o0gogO5Dpdix+TmcVPwjVqTW4mPa1bHtxhLVOZsgPPgSO773ve/5/sAvfelLDQ8mwcTCtm2MjIygq6sLQgwt/7EFEzuQx3aPi7HJzCvrGhFXsSNu3BbFdsAGirnBiR5KS2GUBed6XyzX4lYXUoBdcESNSljOcR/8QjyVJjc7aUFHUbfQ5aHFiCYVO5QWX+hLMgyIkGFBU+u3JNYMC2022XelvbvO1hODuM3Z2MDJ7Bh7nDFnx3CxfhlLVLnNaVTs8AonBVxlLNEUCRuGE1DanNjh5rYsc4lzsSMtiyg4ZSwV3yf09wLSyEDDrpiWsUR1ziYID77Ejptvvrns9507dyKfz6OnpwcAMDg4iPb2dsycOTMROziGZVnYtm0b9ttvvySshyc4zo481ufHXoxNZl7ZTZ/VwE0fD4gbt5rYDpiAno93QKmf1rC1uGWOjbJuQ+73MrGjgdawglJyduSq1LgzsWM8LNwaUpBRrFqy40ZeM9AhkO1SbdEtY4nTnI0NmNhRGdKIYGUsUeWW5Xl5hpMCMe7GQs6BkmA7jRUagZtbktkRD7EjJYlQ6feJYOmAaQASPUao8LevsBUniy/hkdy8iRpmyxDlOZsgPPjK7HjzzTedf9/85jexZMkSrF+/Hv39/ejv78f69etxxBFH4Bvf+Earx5ughZAkCQceeGAy4XmD4+yoXsYyaXllYkeLu0ZMFOLGrS4TV4Fe8G6jHBcwR0atLkG1uDWoeGfUcXY0JPK5bd9VatxFi4gd4jiE8+kgN5pGFWHHjZxmogNkbHImmivUcZuzsYFTxlLD2eGjjCWq3I6qNZwdlgnsWEceq8Pk97jAJcgaHtz6hZtbVTeRYa3DOb+2EAQBP7/wvdhxyo9gfvy+8iB3Kvx1CCr2E7di92iN0GpOEeU5myA8BA4ovfrqq/H9738fBxxwgPPcAQccgJtvvhlf//rXQx1cgvGFbdsYHByM3cks9qBiR0bQMZobHfPyZObVptkCcRU74satLpMbVCvmYofTLUVMV+0SVItbVpZlVRMAHGdHI2JHqVVjURvb3QkAJIvYmcUqbXPDhC4wscOHs0M10A76N0lH09kRtzkbGzhlLB6ZHRkmdnjPB4Yoc5ujYkdXZWbHugeAWxYDf7+X/P7qI+T3dQ+M8whbBNc50FL95f54wc2trrmCOjl3dgDAQXtMw6xjz4J0wDJAdN30u8ShacIwDMuuOwd4Q5TnbILwEFjs2L59Owxj7MFumiZ27NgRyqASTAwsy8LOnTuTVGLekM7CBrlhUkcHxrw8mXm16cqEHYMLEi/EjVtboWKHGu8yFubsqJUlU4tblsVhedyYAa7jvpHWsHSuSIINVfeu0ZaYs0NpcUApSu1zfTs7aBlLVO34cZuzsYFTxtJcN5aocssCSjvcYse6B4D7zgaGt5VvPLydPB8HwUMUYVDBlLWibwRubnUfmUuxAM3seNXaA32YCgDYlYtXR5Yoz9kE4SGw2HHSSSfh85//PFatWuU899JLL+GCCy7AySefHOrgEowvJElK6tZ4hChCk8iFvTY6OOblycwr6xphx9TZETdubXaDGnOxw09wbi1uLalKq0AKoRmRz2X71oveny9TZ4c0DmUszo2Kn8wO1XDKWKIqdsRtzsYGrLOQx5zyK3ZEmdtRlZSmOGUslgmsuBKA14o2fW7FV2NR0mIxJ1yV86UfuLktc5nF4Nrif597C7/7+e3o/8sdQL6/9AJ1drxk7YcN9nwAwO6YhZRGec4mCA+BxY4777wTs2fPxlFHHYV0Oo10Oo2jjz4as2bNwk9+8pNWjDHBOMGyLOzevTtRODmErpBGnWZ+cMxrk5pX1jViHIIUJwJx49ampQcCC8uLKUotkatfKNfilmVx2FWcHWhG5HO9x6jSAUWxmdjRemcHyycxjforirmihnaBiR3RLGOJ25yNDWqVsbQRgaBeN5YoczuqkrE7rWffWjnW0VEGGxjeSrbjHExUtj3CZ/3Cza3T2hsyIAa+jYoc7n3uLRz9yo2Y+vhlwOBbpRem74+Xu96FNfbe6AEpkd49Gj9nR1TnbILw4KsbixszZszAww8/jFdffRUbNmwAABx44IHYf//9Qx9cgvEFq11jXXYS8AMjnQWK22AXBse8Npl5LXWNiG/r2ThxK2bIDaqkx93ZUT9Lpha37H3VLt4FR+RrQOwQReiQocCo2gFFsVVAAOTxcHY4+ST1V2VVdxefiDo74jZnYwMfZSx5zYRuWlAk7xvcKHPrBJQysWPUZ9m53+0iDEtKAzpgaY3fqLu5Nejn6EIq+E1UBEHaz6YBAeXOpkUfwN3/mIP7du7E5fIvoMDArly8nB1RnrMJwkPD83T//fdPBI6YQZIk7LPPPhM9jAQNwE6TkFJBHRzz2mTmVYy5syNu3EpM7DDi7eyw6Q1VLbGjFrcWO56ruB2abQ2rCykotuEZCmrbNhRbBwRASbdeULBoGUu1fBI3NBpsa0KEFNFa+rjN2djA6cYy9pjvogGlACllmd7pfWxFmVunjIWJHZ2z/L3R73YRRj1x2A/c3DrODlGp9RZukFYkqKALQhUda4oWOV7S0DENQ7FzdkR5ziYIDw2JHVu2bMEDDzyAzZs3Q9PKVb6bbroplIElGH9YloVdu3Zh+vTpEGNgzZtMEGhHFkkd28ViMvPKVrjHo2vERCBu3Mrt5DhWjMZbBHIBvX6ZSS1unffVc3Y0eNzrQhqw885Ffdlrpo00iCVeTrd+XrGOMpaPcEGjQKzWqtiO9ipdbiYacZuzsYFC2l57iR2SKKArLWNENWqKHVHmdpSW4DgBpXu9E8jOJWGknrkdAnl9r3eO2xhbBZtmHFUTh/3Aza1JhVdDiIdjNC2LKDhih+s7xdShGkQky0DDNGE4dpkdUZ6zCcJDYLHj8ccfxxlnnIG9994bGzZswOLFi7Fp0ybYto0jjjiiFWNMMI7I52N+kxFTSO09AAC5iv1/svIqmeSLWYip2AHEi9tUO8meSVvxdnbAZAGitY/LqtzS9zmiRgXEJkU+Q0wBlncoaNEwkQaZV0q69ZkdTq6Jj1VZo0jEXk1qR3srB9Uk4jRnYwOlurMDALJtCkZUA8N1Qkqjyi0rY+liAaWiBJxyI+m6AgHlggcVCk/5VnkrUk7hiMNVzpd+wbi1aTcWq0bANE/IKBIKNhM7XMf/bz6DH77xe3xN+jQygoYZwhD6Y1bGAkR3ziYID4FlrKuuugpf+cpXsGbNGmQyGfzmN7/B22+/jRNOOAEf+chHWjHGBOMEURSxYMGCRN3kEErHFABAxhyBbpYHLU1mXkstMuMpdsSN23QHcXZkrHhffLAuQbUyNWpxK9D3iVVWKiWrOZHPycnwKB1RdQtpgdzwjYfYUeo8U1/ssIrE2WFIrR9Xo4jbnI0N5OqZHYC/jixR5jZXWcYCAIvOAD5699hSlexc8vyiM8ZxhK0DE5WFJspY3NyysORa3bR4QloWUWTODvfxT8+5GmRaxjKMXTErY4nynE0QHgKzu379epx99tkAAFmWUSgU0NnZieuuuw433nhj6ANMMH6wLAu9vb1JKjGHYGJHFvkxK0+TmVeJdo0Qleje/DSDuHHb1tlDftqNtwjkAQJ1dtTKkqnJrVLb2SE7Il9jxz1zU3iKHYbplLEIcuvnFVuVtc36K4qWSsUOOZrhpED85mxsUKMbC+BP7IgytyOVZSwMi84APnYveZzuBs55CLhkTWyEDgClDlM+ziHV4ObWT+twnpBRJBRB/0ZuZwfN7/j83DexVFyHacIQdsfM2RHlOZsgPAQuY+no6HByOubMmYPXX38dBx98MABg165d4Y4uwbijMoMlAR9gZSxZIYehgo5pFTXFk5FX27YhWxogjU/XiIlCnLht76TODmiAaQBSHLLux8JxZNQpY6nGLXNsSJb3jRkTOxptDWvWcHYUdQs9VOxoqNtLQDCxQ/Dh7AAVO6wIix1AvOZsbFC3jIW1nzVqfkwUubVtGzmNODucMhY38v3k55S9gIXHjePIxgfsfCk2WcbCuLWN+t20eMIX37MvzL0vxzAGkF3giiOgc2HfqSlg5zCmC8OxCygFojlnE4SLwFeSxx57LJ5++mkcdNBBOPXUU/HlL38Za9aswf33349jjz22FWNMME4QRRHz58+f6GEkaAQ0oDSL/JiVp8nKq2HZSNGbMimmYkfcuO3ITnEeG4VhyJ1TJ3A0rYPgo7yqFrfsfVKVlUqZOpoaPe6d7gV1nB3j0eXIETv83KhoVOxIRTexI25zNjZgAaV1ylhqZXZElduibsG0SCZHZ6WzAyi1l+2cOY6jGkfQ1vPNiB1l3FKxw46Js2OvaR3AtJPHvsDKftqnAQCmCUMYyOswTAtylfbLvCGqczZBuAh8tN5000045phjAADXXnstTjrpJPzyl7/EggULcMcdd4Q+wATjB8uysHXr1sTOxSOY2CGMFTsmK6+qYZW6RjS4wh11xI3bro52qDa5GM+NDk7sYFoIP8G5tbhlYodoeV+8KzSzo9HjvqbYoWlQBLJKPB7ODvZ/+BE7BGq7tlOdLR1SM4jbnI0NnNazzZWxRJHbEZWWnQlAe8ojcNQRO/hvM+sFkZbbSVXOl37g5tZxdkS0vXVooOfTPwzMRb/dhekCCYDuz8fHCRHVOZsgXAR2duy9997O446ODtx+++2hDihBggQNwHF25LC5Tlr8ZIGql7pGxNXZETcokoh+tCGNERRGBtE9e6JH1Bqwi26pwQBR9j7Z8r7oVGwNEBovY6nV2lYrusJjx8HZURI76l9gSwZxdggRFjsSRBROZod3OHI2U9/ZEVU44aQpGYJXS+bcTvKzY8Y4jmr8UCpjCecm3Qk6leLh7Fj99iDWrXkRB0tbcNjBi4E9jiIv0DKWH7zShf2ULGaLROzYPaphZldyTZWAH8SzIDpBQxBFEfPmzZvoYSRoBDWcHZOVV7ezI87dWOLGbUFoAzCCfJydHZYGiIBYQ4yoxa2UJpZ7Vq7ihukq32q0W0otscPQXDb/cRA7BKfNbv3MDplenIvp6IodcZyzsQATO6p07Ohu99eNJYrcjtKckTHhpM4GMXd2sLI/j/Ol789wc0tFE1uKx3XF82/uxuAz9+ETyi+B4qdKYsfeJ+Ivq9dj0O5EBjraBXJ+3T0aH2dHVOdsgnDhq4xlypQpmDp1qq9/CfiFZVnYvHlzYufiEZkeADSzIz+2jGUy8lrUTadF5risQE8A4shtUSQ38mpueIJH0hrYtg3FR4BoLW7Z+xSPi3fNsBxHU8NihyMwjLV960VyM6hDBsahXZ+gEOGlWj6JG5KZAwCIma6WjqkZxHHOxgKyy9lh22Ne9lvGEkVuWRlLp1c4KQCMUmdHTDM7JHoOSdkkb6IRuLl1zotyPJwdGUVCgbWedQf0/svtOFe/ElsxA2lBQ489BMDG7lx8QkqjOmcThAtfzo5bbrnFebx7925cf/31WLZsGZYuXQoAePbZZ/HII4/g6quvbskgE4wfUql4nLwnHaizIy3oGM2NjHl5MvKqGpazwh1XsQOIH7dFsQOwAC0fT7FDNSxHhKtXXlWNW5bF4eXscIt8jYodbL4IxtiLWlMjNn9dSEFp7NMDgTk7xColO26kTTI2KRNdZwcQvzkbC7jdf4Za/jtKZSy1xA4gmtw6ZSx1nR0xFTvo+TINDarReLgm45aV1Akxua7IyBKKjthRcjbpZinYNgMdMkx0IxcrZwcQzTmbIFz4EjvOOecc5/GZZ56J6667DhdddJHz3Je+9CX8z//8Dx577DFceuml4Y8ywbhAFEXMnh3TIvm4I9UJCyJEWNBGB8pemqy8qoaF9nFskTkRiCO3htwOGICRH5roobQEql4qr6olRtTilr0vZWuwbbusDj+MYF5W4+7l7DA06uwQxucC0bGg+xA7UlYBEAG5LbrOjjjO2VhAcXXwMQpjxQ7WjaVYu4wlityOMmdHNbEj10d+xrWMhYrKKRhQDQsdDVwOuLl1urrE5LoirYgo2HRfWGaNbUPVzdI26TZAy2G6MBQrZ0dU52yCcBFY3nzkkUdwyimnjHn+lFNOwWOPPRbKoBJMDCzLwqZNmxI7F48QRegKWc008oNlL01WXklAabydHXHk1pA7yM9CPJ0dRVfr1lpZMrW4ZWJHGjpUo/z1stawSoNih+Om8HJ2EJuzMU5tF6UUuQiX7doX2LppIWMTISbVlm35uBpFHOdsLCApgEA7lehj2886ZSz52mUsUeR2tJazQy8CRSosxzSglJ1n04IO1TDrbO0NN7fMZVarmxZPSLudHSyzJr8bHTfOwsvpT0OAhXRnDwBgGoZj5eyI6pxNEC4Cix3Tpk3D73//+zHP//73v8e0adNCGVSCiUN7e3v9jRJEEoZCLvCtwuCY1yYjr0VXuUBcamu9EDduTSraWerYcqw4gDg7mA26thhRjVsmdmSgQdXLL9KKrs9vdOWx1L3AS+wgF8OmOD6rmqLC2kbWLh/IayY6aYBeqj26YgcQvzkbGzB3h4fYkW0jQsGIasCyxmZ6MESRWxZQ6pnZwTqxiArQNmUcRzWOoIHLaY/zZRAwblk3LTEmzo6MIrrKWKizQy9AsE0oMKHIMoROIoRNF4awK0ZiBxDNOZsgXAQWO6699lpceeWVOP3003H99dfj+uuvx+mnn46vfvWruPbaawN91g033IB3vOMd6OrqwsyZM/HBD34Qr7zyStk2xWIRF154IaZNm4bOzk6ceeaZ2LFjR9k2mzdvxmmnnYb29nbMnDkTl19+OQzDKNvmySefxBFHHIF0Oo19990Xd91115jx3HrrrViwYAEymQyOOeYYPP/884HHwjNEUcTMmTMhjkPoXILwYafpBX6h3P4/WXmdDM6OOHJrsbahMRU7ioYrOLfGymAtblnWh9dKparrSAv0+6/B475W6YhFbwTNcXN2kLF4hbG6kdcMtIPchCht0c3siOOcjQ3YfPToyMKcHbZNBA8vRJXbmmUso6yEZSbg1ZY2DpCZ2DHWCecXbm6Z8BqXLm9pWXKVsRTKfkrpdtxxzlFAx3QAwDRhOHZlLFGcswnCRWB2zz33XDzzzDPIZrO4//77cf/99yObzeLpp5/GueeeG+iznnrqKVx44YV47rnn8Oijj0LXdbzvfe9DLpdztrn00kvx4IMP4le/+hWeeuopbNu2DR/60Iec103TxGmnnQZN07By5Ur87Gc/w1133YVrrrnG2ebNN9/Eaaedhne/+91YvXo1LrnkEpx//vl45JFHnG1++ctf4rLLLsPy5cuxatUqHHbYYVi2bBn6+vp8j4V3mKaJ119/HabZmM0vwQSDdmQR1XL7/2Tl1Z1dEJfa2krEkVshRfIWBG10gkfSGrgzO2qJEbW4ZY4Qr4t3TXXdqDV43LMad9mjjMXWx9fZUSuM1Y2caqIDdN9T0c3siOOcjQ2cjixjnR1pWUJGIZfMw1VCSqPKbc2A0piHkwJwzrPkfNkYN25uHWeHEo/rikVzs7jiU/+Mbcd/B3jvdeRJg8wBOd2O4/abAXSQ42O6MBSrMpaoztkE4cJXQGkljjnmGNx7771N/+crVqwo+/2uu+7CzJkz8dJLL+H444/H0NAQ7rjjDvz85z/He97zHgDAT3/6Uxx00EF47rnncOyxx+KPf/wj1q1bh8ceewyzZs3CkiVL8I1vfANXXnkl/uM//gOpVAq33347Fi5ciO9+97sAgIMOOghPP/00br75ZixbtgwAcNNNN+Gzn/0szjvvPADA7bffjj/84Q+488478dWvftXXWHiHIAjo6ekpC7tLwA/ENtKRRdbLxY7JyqtquO388ViBqUQcuRVoJw1Ry9XZkk8UDRPdPspManKrlC7ed+rlF2l6MV/6pcHjXqrp7CCCgiWNl9jBnB31ylgMTKVlLEh1tHpYDSOOczY2UKqLHQBxdxT/P3vnHR9Fmf/xz8xsS09IIIWOgBBAURQF9ARFwI7nnZ6eiqenP1FPOWznWRDvznb2eufpKZ69g4qxUESRphQTQiACoSYE0suW2Znn98eULdnNziab7O4zz/v14sVm9tnZ59nvPDPzfOZbRDeanCIGhng/UW3booaxpIUSOyhPTgpAP89qCUq7gr9tLUSrptXFalcJRlaKFRPGjALGjPJt1OaANifUfC55aEZdKz2eHYk6ZxmxxZBnR3Nzc8Drzv51h6Ymxf2+T58+AICffvoJoihi+vTpeptRo0Zh0KBBWLNmDQCl7O24ceOQn+87Uc+cORPNzc3YunWr3sZ/H1obbR8ejwc//fRTQBue5zF9+nS9jZG+BON2u0P+PloiHFmWI76WJCngNVHrv0fzmhDS4TWADq8JIcjNzQXHcSHbyLIc8DqaccRrTJFe0zQmIVURO1KkVrSrbqtan7R8Osk2pu7YyeVyQeCU/siqy32yjyn4Nc/zyM7OhgYVY3Io4VgWbys1Y9L6JctyB8+OcOMghKBPnz7geb7jmAQ/t2xRCuivx62IHRJ4EE7o0pgserUXd4c2RL0JlgVbr8wnq81XeaYzO7W6RKSpYSyyNSVhz+WRrrO0Xp+SYUxEFQeJ2B6y71r52WanGHJMPM8jJ8eX9yIRxiRJkh7GkmbjO9qmRfXsSOubNHaK+tjjFbvZOQ+cfvdG0YwDAHJycsDzPCyqCCzYwp+/k34+qSXG6z0CSsqqATVnRy7XjDaPhDaXJ/nGZPA6y6APQ2JHTk6OHs6RnZ2NnJycDv+07V1FlmXMmzcPU6ZMwdixYwEANTU1sNlsATfzAJCfn4+amhq9jb/Qob2vvddZm+bmZjidThw5cgSSJIVs47+PSH0J5qGHHkJWVpb+b+BA5VnAgQMHAADV1dWorq4GAOzfv1//jffu3YsjR44AAKqqqtDQoJQS3bVrly4IVVZWoqVFiWmvqKhAe7tyYiovL4fLpTx5Ky0thSiKkGUZpaWlkGUZoiiitLQUgJKDpLy8HADQ3t6Obdu2obKyEk1NTaisrASgCFC7du0CADQ0NKCqqgoAcOTIEezduxcAUFtbi/379yfkmCoqKgAALS0t1I+pTVSmcybXjq07duljqqqqQmVlJWpqapJuTN2xU1O9mngNwJGmVirGFGwnSZKwYcMG1NXVUTMmq1pJwyK2UjMmwHfsuUS/nB0We9gxlZWVYdu2bZAkqeOYVPGO5wg8HlfAmJytiqgucla0tLZ2aUyCTUnYpt3U+4/J3aaK9oKjV+aTLryoAlE4O9UeOaL/rnUtnoQ9l5eVlen7MtP1KRnG1OZRFkae9uaQY0pXxYImpxhyTJIkYcuWLfr4EmFMpaWlehhL05FDHcYkNij3o0jPTxo7RXvs1RxWvt8OEXsP1HRpTFVVVdiyZQu8Xq/Ps8PqoGI+tXu8eObT9Vj83itA+RLs2rkTbU3KPcWeZoJnvtmhe3b05ZSxrt28NaHHpNks0rG3bds2lJeXQ5KkADsxKIMYYOXKlUQURf11Z/+6yvXXX08GDx5M9u3bp2978803ic1m69D2xBNPJHfccQchhJBrr72WzJgxI+D9trY2AoAsXbqUEELIiBEjyIMPPhjQ5vPPPycASHt7Ozlw4AABQH744YeANrfffjuZOHGi4b4E43K5SFNTk/5v3759BABpaGgghBAiSRKRJKnT116vN+C1LMtRv5ZlucNrQkiH16IokoaGBiJJUsg2/tuN9D0RxhTpNU1jkpY/SMiCTPLm3bNJxcHGgPE1NDQE9DFZxtQdO7385XpCFmQSsiCTSF6RijEFv5ZlmdTV1en7oWFM5SveJWRBJqlYeDw1Y9L6JUkS+WzLQVJ/X5FybNZWhB2HKIqkvr4+5Dhkj1M/ttds3RXQ35IVKwhZkEmaF/bv8pgaN35CyIJMsvHe45Vzi1+b95+/h5AFmeSX53/TK/OpcV+5Mp778onolcKO6bO1Zb757nEm7Lk80nWW1utTMoxJXnQ+IQsyibz57ZB9/8Or68ngOz8jb6/bE3JMsiyT+vr6Lo+vp+x0/nPfk8F3fkZKSg92tM07lyvzZu2/ksZOUR97O78lZEEmqbx3FPl08/4uj6O+vp44PSJZe+9EQhZkkrZN71Mxn+pa3WTsne/p50+vq43Iu78nh5+fRf5792/JRS+sJqRqNSELMsne+48mg+/8jGysqkvoMRk99oKvs42NjQQAaWpqIgx6MJSz47TTTtNfDx06FAMHDuwQ30QIwb59+7okuNx000347LPPsGrVKgwYMEDfXlBQAI/Hg8bGxgCPikOHDqGgoEBvE1w1RauQ4t8muGrKoUOHkJmZiZSUFAiCAEEQQrbx30ekvgRjt9tht3eMa9ay/vpn/w33WhCEHnvNcVzAa4vF0sFzxb+Nkf4m2pgivaZpTFyqEv6VybWj1SMF9DHYrskypu7YSVZLZHo5CyyChYoxhXqthf3RMiZbWjYAwCG3UzMm/+93BVQJsoftr8Vi0b0lO7Tx26/ocQb0V/YooRxeztblMVkdgQlQHVbf93NapQqLo1fmk82heJnYIMIjyUgVLCHH5HUpOV5EWGH1q5KQaOfySNdZWq9PyTAmrfQsJzpD9l2ryNLkFMOOyd/DORHGJAgC2tTqMZkptg5j4rTSs+n9ksZOUR97Nt85RFTLBndlHDk5OWh2ifr522pLoWI+2S1+pWehltYdMgXfT3oZC9/djFOsApCWCwDoA8U7otHp1deBiTgmI/0COl5nWe4OOom6GsvQoUNx+PDhDtvr6+sxdOjQqPZFCMFNN92Ejz/+GMuXL+/w+QkTJsBqtWLZsmX6tu3bt2Pv3r2YNGkSAGDSpEkoLS0NqJry9ddfIzMzE8XFxXob/31obbR92Gw2TJgwIaCNLMtYtmyZ3sZIX5IdSZJQUVGhx8oxkgyHkrMjE21obPcl8zOrXSWtagTXOyUy4wGNtk1JV8JYUkjoJIHJjkv0+iXODZ/grlPbchw86s2p1x34O0lqTg1vN6qlaHky7PB0SOjHSWpyul6qcKT3hfPC7Qld8hMARKcSXuMWEjtpII1zlhq0ZIwhSs8CPrGj2RW+Gksi2rZVTVDaaTWWNIqrsQjKudLOiXCLXUtQqtnW6faJHVry5GTHYRUgQoCXqEtC9d7JpSa/dlh5vfRsGmmHHR4coSRJaaLOWUZsiboaCyEkpPLV2toKhyO6iX/jjTfirbfewuLFi5GRkaHnvsjKykJKSgqysrJwzTXXYP78+ejTpw8yMzPxpz/9CZMmTdKrn8yYMQPFxcW44oor8Oijj6Kmpgb33HMPbrzxRt2r4vrrr8dzzz2HO+64A1dffTWWL1+O9957D59//rnel/nz52POnDk44YQTMHHiRDz11FNoa2vTq7MY6Uuyw/M8ioqKWL3pZEUTO7g27PIrjWdWu8oe36KPjgJxHaHRtinpynGcCie8kgyLQM/YACUhtpY4tzPBIJJtRc4GG/FAChI75BiIHVqeDDunlWq0+vqliR3W3rnR919QeNxOID3090quFgCAyKf2Sr+6Co1zlho6KT0LAJl+nh2hSFTbtqqeHemOUGKHGaqx+Jee7ZrYodm2yevLH8RRUuVN4DlYBR5O2JEBJyAqXpWa2GG3CMr9pWADJA9y0Yy6NjrKzybqnGXEFsNix/z58wEorkb33nsvUlN9NxSSJGHdunUYP358VF/+4osvAgCmTp0asP3VV1/FVVddBQB48sknwfM8LrroIrjdbsycORMvvPCC3lYQBHz22WeYO3cuJk2ahLS0NMyZMwcPPPCA3mbo0KH4/PPP8ec//xlPP/00BgwYgJdfflkvOwsAl1xyCQ4fPoz77rsPNTU1GD9+PEpKSgKSlkbqS7LDcRwyMzPj3Q1GV9E9O9oDbsbMaldZVCszCPR6dtBo27RMJSwnnXOh0eVBdhodN5QaXo+x0rCRbCvyNkACvJ4gsUMN35L4rh/3nN/iwBX0JFQTO3rtRt/iL3aETx4nuZSEtqKQ2GIHjXOWGjQBL5zYoYoFTc7QHkaJaFtZJmjzhPHs8LQBHmXeIJ1izw6LX/Uqb9ee4Gu2PXK4NSDBNC3YLQJcsKlihxNY9RguXfUkXJap2GG9HeA4JUlp8wHkcvSUn03EOcuIPYbFjk2bNgFQPDtKS0ths/lupGw2G4499ljcdtttUX05MVDix+Fw4Pnnn8fzzz8fts3gwYOxdOnSTvczdepUfQzhuOmmm3DTTTd1qy/JjObONWrUqMA4VkZyoHt2tIcMYzGbXYlXuWGVuvGEO9Gh0ba2VN+NR2tzE3Vih+S/YO/kZjmSbb1qeJYUJHYQ1QVf7s5x7yd2NAUtDni1QgvfS54dEKyQwYEHgehuD9uMuJVFm9ea1jv96iI0zllq0MNYQosdehhLGM+ORLRtuyhBu9XuIHZoXh0WB2DP6N2O9Sbq+cwGEW5P18QOzbbI7o90qGIXRWKHw8rD5bEBHJQwLncL7N5WWCD5cjal5QHNB5DHNaGulQ7PjkScs4zYY1jsWLFiBQDgD3/4A55++mmmhFEIz/MYMmQIc+dKVvxydjS1+y5EZrUr8WqeHfTckARDpW0tDnjBwwIZba2NAOhyr9ZzanA2WDpJhhbJtlqYiiwGejsQ9e9uHfd+T0KDPTsEWZlXvSZ2cBw8sMIBD0R36EUoABD1CbVsSWzPDirnLC1ECGPJMhDGkmi21fJ1CDyn5F7wxy85KWhOzGhRhGGBIxDF0LaLhGbbHXUeX84liu4t7BYBTo/6EFts1/PWnDFuMCadNEjZrpafzeOacIiiMJZEm7OM2BN1zo5XX321J/rBSAA4jkNaWmI/FWN0gip22DgJzvZWfbNZ7aot+ghFNyTBUGlbjkM7UpGJVjhbm+Ldm5ijVwnibZ1egCPZVvNYknpE7FA9OzgR7qDFgUUTO3oxOZ+oiR2e8GEsnFupxiInuGcHlXOWFvQwlggJSsOIHYloWz1fh93SMd+eGZKTAgGhcJIY3jusMzTbeg65YKPQs+Ox3x4L7LoNrgwCR+5wPW/H0MI8oEi5t9SOk1w0Y1sbPWEsiTZnGbEnaimrra0N9957LyZPnozhw4dj2LBhAf8YyYskSSgtLWVZiZMVWzpkdUp72xr0zaa1q+rZQSjO2UGrbV288oTV3doY3470AFoC0UjhVZFsq+WiIcFPobXjvjs34n6fFV2BCz+LGsailXPsDTxc6Moz/nCiInbAlt4bXeoytM5ZKlBLz4YLY8k0UI0l0WzrL3Z0fNMEyUmBAA8MqRPBtDM027o8YkDpcFqYdFQuRp55NRwnXwNkFvm8m6x+53m1IgttYSyJNmcZsSdqz44//vGP+Pbbb3HFFVegsLCQ1SSmCJ7nMXz4cObOlaxwHLy2DNg8TfA6G/XNZrUr59VKZNKV88EfWm3r5lMBGfC0N8e7KzGHqIlzpQieF5Fsq3luaPvT4CT1Zr47nh1WX/lWMSgniIVoYkfvzSsvZwVIx/wk/gheVeywJ/ZTOlrnLBVYOk9Q6h/GEqoyYSLats2Q2NG3F3sUB3geEmeFQEQ9cXn0u1Bsu3rnEfAGqmklPeoc2HjQhazDrTiqb7oexqIkKPWErc6ZTCTinGXEnqjFji+++AKff/45pkyZ0hP9YcQRjuOQkpISuSEjYZFtWYCnCcTpc/83q121RV+3nnAnOLTaVhTSAC8gOukTO2T1qXGkMJNIttXFDm/Qk0rds6MbYgRvgQQeAmSIrkC3b4vsAXjAYuu9405Lxur1hF+oaGIHn+CeHbTOWSrQnmJHEDtEicApSki1Bd5CJ6JtW9ScHWn2EMkXtTAW2j07oFSnEiRR96yLFs22Xv8E0xSFyH674zCa9pbhhJx2FA0bq8+BN36qxTEFhxWxI90XxuKRZLS4vch0WDvbbcKTiHOWEXuilrJycnLQp0+fnugLI85IkoTNmzczd64khjiUxMGc2yd2mNWuvKQ8ge61EplxgFbbimreBclJX84OGMwlE8m2+ueD8gtwWmnY7iQQ5TiInHIT6/Vz+yaEwKYm57PYe+8GUVTFjuBkrP5YJEWU4VMSu6oErXOWCrQ5EywgqqTaBAi88iQ7VJLSRLStHsYSalHqn6CUcnxhf13z7NBsG5AkmaIHKa+t3g3520dR9OllQMVnQN+jsdM+GrXICazGAiCfVx5C0BDKkohzlhF7ohY7/va3v+G+++5De3vXkvwwEhee51FcXMzcuZIYLiUHACC4m/XSzma1q+bZwVF0QxIMrbaVrcrTednVGqFlEuI1JnZEsq32eS5oYSZoYSzdFPl83hS+m3u3V9bj1a323svZIfGhy+z6Y1fFDkuCl9Ckdc5SgV6NJfT9LcdxfklKvR3eT0TbamEsGSHDWEySoBS+HEkdPOEMotlWSwjthQDw9JQqtVsEOIkmoLcDsx7Cgr5P43t5HOxaFR/1OMnTxY7kT1KaiHOWEXuiDmN5/PHHsXPnTuTn52PIkCGwWgPV4o0bN8asc4zeh9WZTm4sqdkAgFTSBpcoI8Wm2NOMdtU9O3qrRGacoNG2RBU7iLslzj3pAaJIINqpbTUxQwq84eQ1z44YiR3+AoNb9Bc7es+zQxM7OvPssMlOgAMsKYkdxgLQOWepQMtV08lxlpViRX2bJ2z52USzrebZETqMxSQJSuETh7WS9F1BEAQ9wanEWaNfQCUwDisPF7TSs8o53+1VvB0cFs2zQ8nZkU2awEHGEQo8O4DEm7OM2BP1XJ09e3YPdIORCMiyjNLSUowbN45N/iRFUMWOLLShySkixSaY1q68TL/YQattiV1ZsHIeesWOSJ4XEW1r0Tw7Am/eBfW4725pWC9vByRAEv09OyTYtTCWXszZ4XsqG3qhIskEDtkFCIAtNavX+tUVaJ2zVKCLHeE9iDIdym1zKLEjEW2r5exItweFsRBingSl8BOXOxGyOkOzrebpJvJ20OQz6rAKfmKH8hu5RFl/D4AexiJARjZaUUdB+dlEnLOM2BO12LFgwYKe6AcjAeB5HuPGjWPuXEkM51Bu9DM5RewoyHKY1q4W2Q1wAE+x2EGrbTk1FIH3tMW5J7FHy6kRKd47om3VhRkvhxE7unnc694UfklB3V4Zdq73yy5Kerx96IVKu8eLNE5ZhNhSEz+MhcY5SwWaABmm9CzgV342hNiRiLbVq7E4gm73Pa2+cZogjEUPG5S6tkDXbFuxZ5+yGy65E3MGY7fwgWEsz52I/9bX4xLuL7Bb1ONZsAIpOYCzQa/Ikuwk4pxlxB5mXUYALElPkuPIBgBkoh2N7b4LkRntqi36erNEZjyg0baCQ1mw6uVEKYLXcslYI3tGdGZbzWOJD7p5t6jiR3ePe82bQvbLX+ASJThUz47eLOlMVOElXLx9u0dCGpRxW5MgjIXGOUsFBsNYgNCeHUDi2VZPUBocxqJ5dVjTAHviz5luo3nCdVHsABTbaqF0mhhMC4pnhyrgeF1A80H0JUcggYfd6nfsqKEsfbkm1Lclv9gBJN6cZcSeqMUOSZLw2GOPYeLEiSgoKECfPn0C/jGSF1mWUV5eDlmW490VRlcJ8uwAzGlXryTDSlSxg2LPDlpta1FDEawUih2CwZwakWzLW8KJHdpx370wk1DVC/wTlPam2KGX6Q0TxtLm9iKVU0WkBE9QSuucpQJr5wlKgc7FjkS0rU/sCPJE0ENY6PfqAKCfr7oqdmi21XIYyZSJHXarAKcWmONp00O5/nr+8Rial+ZrqIoduWjGEQoSlCbinGXEnqjFjoULF+KJJ57AJZdcgqamJsyfPx+//vWvwfM87r///h7oIqO3EAQB48ePZ3FryYwmdqBdvxkzo1393e17M7dAb0OrbW0pSgllu0Sh2KF6XkTKqRHJttrnNQ8mDQuJTWlYSehYhtMteuHgel/s0OPtw4gd7R4J6VBd8m2J/ZSa1jlLBZrYQSRACu25oYexuDq+n4i2bXWFSVCqVWIxQXJSAH45jrrmjaDZFmricylCNa1k4/xjC3H2OReidtIC4NjfKXMAwMzxQ9EnzU/Y0cQOSsJYEnHOMmJP1GLHm2++if/85z+49dZbYbFYcOmll+Lll1/Gfffdh7Vr1/ZEHxm9BCEETqdTL1nKSEJ0zw6f2GFGu/o/gRYoFjtota0tTRU7ZPpKnBvNqRHJtprHkiVI7NA9mrp53PuqF/jEDo/bz72/N0s6a2V2pdDhBW0uEalqGAtsaSHbJAq0zlkqsPjNmTBJSjvz7EhE22qeHRnBOTtMlJwUAHj1fBWc48goum3VMBbaPDuG98vApMlT0W/mfGDIKb43gj0EVbEjj2uiIkFpIs5ZRuyJWuyoqanBuHHjAADp6eloamoCAJx77rn4/PPPY9s7Rq8iyzJ++eUX5s6VzOieHYFhLGazq0uUdLGD5gSltNrWkZ4NAEghTkgyPTchhBBfmEkEMSKSbXn18xbiu+H0SjJs6nHfXc8Oonlu+IWxeNx+C8C4eHaEfpLY7nLCyqlx1wnu2UHrnKUCix0Ap7yOIHaESlCaiLZtCxfG0maesrOAL8eR0I0wll9++UWvCEUo8+wIQD32CXiUbKuDx+t3POthLE1UeHYk4pxlxJ6oxY4BAwaguroaAHDUUUfhq6++AgBs2LABdjvFk98ECILAyi8lOyE8O8xo13jlFuhtaLVtqip2pHNO3Q2bBgI8jiKIcJFsq4VnWf08O9xeWU8garOndq+zIbwpvKrYIYNTMvP3FhHi7T1tzb4/Etyzg9Y5SwUc53uSHaYiS6YjvGdHItq2xR0hjMUElVgA30MPXu56GMu4ceP0cxAR6PLs2N/Qjk/Xb8dPq78Edn8HAGgnVlz/5ia4vX4JPNM1z45m1Ld7kv5hRCLOWUbsiVrsuPDCC7Fs2TIAwJ/+9Cfce++9GDFiBK688kpcffXVMe8go/cghKCtrY25cyUz/jk71GosZrSr2yvFpURmb0Orba2pShhLOlwhY+OTFbfol0smgudFJNta7MrNuxa2AgSKKd337OhYvcCrJucTOZuyMOwlOM0FPZzY4VTEDjdnB/jEvmmldc5Sg+7RFMmzo6MIm4i21cTijA4JSg8r/5skQSmvilg2iPBK0T/F12yr5Q0ilN1XbN7XiNc+/hwTvr4Y+Pj/4C04DlvJEABKpRYdvzAWQoCG9uT27kjEOcuIPVGLHQ8//DD++te/AgAuueQSrFq1CnPnzsUHH3yAhx9+OOYdZPQesiyjqqqKuXMlMynZAAArJ6G9rQWAOe3qFv09O+i6KfGHWtuqoQhpcKIlTInHZMTllWCHFsbSuedFJNta7IoHgw2+p2su0SfydbcKkeb2zfklBdU8O7xc7z7V1MWOME9lRWcrAMDNd9ObpRegds7Sgl6RJfqcHYlmW0kmcIrKU/n0Djk7tASl5hA7BJtyDrFDhNsbvX002+rnQ8rCWBwWAS6tGkt6P9RdVoKLPQvAc4CF9xO2tdKzvHJ/meyhLIk2Zxk9gyVyk86ZNGkSJk2aFIu+MOKMIAgYM2ZMvLvB6A7WVMicBTzxQmpvBGBOu7q9MjJMIHZQa1u1fKjAEbS1NgPIim9/YoRblOEweFxGsq1FrcZihwiPV0aKTYDbKyNLFVO6G76llcb1T+gnqcn5xN4WO7R4+zDJBWWX4tkhComfjJjaOUsLehhL6GS4mSnKbXO4MJZEsq2WnBQIEcbSpnl2mCNnh1aK2w4P3F4ZaVHeFmi23ViinV/puq+wW3m4oHr/iE64RWXx77AK4LiOYkculHOukqQ0sct9d0aizVlGzxC12PH66693+v6VV17Z5c4w4gshBC0tLcjIyAg8uTGSB46DZMsE764HnEryYDPa1SVKyDVBzg5qbWtLgwwOPAicrU0ABsa7RzHB37Mj0nEZybZWu88t2+2VVLFDiplHU6iEfrJHqY4j9XIlAs0FXZBCP0WUXIpnhygkvmcHtXOWFrSKLGLoSlCaZ4dTlODxyrBZfA7SiWZbLTmpTeBht/iJHYSYzrNDO5/Z1fNltGi21UPpKBM7HFYBTqKOSXTCpf5GASEsgC52pMIJB9xJ79mRaHOW0TNELXbccsstAX+Looj29nbYbDakpqYysSOJkWUZBw8exIgRI1iyniSG2DMBdz04dyMAc9rV7ZVNkbODWttyHNxcClJIO1ztTfHuTczwz9kR6biMZFstQamdE+FSn8K5xNgl5uVDeFNIHuVpt5fv3TnFW5XvE0joG2vZrYgdkiWxk5MCFM9ZWtDDWEJ7dmQ4fLkvml0i8tJ9cyHRbNsaLjmpqxHQhEOTJCjVzrc2zqt7LUSDZlte/d04yh6iKGEsqogtuTHk9RPxpHUY/mm5NbChPUMJ4ZHcyOOaUdea3OVnE23OMnqGqHN2NDQ0BPxrbW3F9u3bccopp+Dtt9/uiT4yeglBEDBq1Cg24ZOdFMXln3M3gxBiSru6o3iCnszQbFuXmn/B00aP2OEK8LyIXI2lU9tatCeVHv1JpdvthoVTb+S7KfJppW39vSlkdQEo9XK8uqCG7FjCVVLwaGJH4nt20DxnqUDLdRMmjEXgOWQ4QoeyJJptW9TkpB3zdaghLPYs33hpR9Bydni6lLNDt62siR10PUSxW3k44fPYs7VVIxfNsAd7dnCc7g2UiybUtSW3Z0eizVlGzxC12BGKESNG4OGHH+7g9cFILgghaGxsZFmJkxxBTVKaTtrQ5pFMaVclQakar0yx2EGzbT3qwlV0NkdomTy4RONhJhFta+mYcE90+yVV7OZxryU4tfh5UxBV7JB72bMjVF/84TxtAACS4GVnAbrnLBVECGMBfOVnm4PEjkSzrRbGkt6hEosWwtK3l3sURwLOl10LY2lsbNSTJPM2uu4rAjw7VIb374vbZx7dsXFaHgClIssRCsJYEmnOMnqGmIgdAGCxWHDw4MFY7Y4RB2RZxuHDh1lW4iSHT80GAGRybWhyiqa0qyuGuQsSGZpt6xWUhauXIrHDLcqw6cdl58k0I9pWFTMc8MClVlwQ3e0d3u8qgurZYfELYyHq025Z6N2cHVrIjjWc2CFqYkd6r/Wpq9A8Z6kgQhgLEL4iS6LZtlUXO4KTk9Yq/5skOSkAP0+4rldjOXz4sB7Wx1N2X5GXYcMTlxyHHWPmARlFAICivBycPa6wY2M19CmXkjCWRJqzjJ4h6pwdS5YsCfibEILq6mo899xzmDJlSsw6xuh9BEHAiBEj4t0NRjfhHEoYSyba0djuQf/sFNPZ1e2R/HIj0PUExh+a56xkVRausqslzj2JHS6vZDhnR0Tbqse1jZPg9ij71ErDirDCynfvWYbFrgkMfgs6UbmxJULvzik9jIV0rIABAIIqdnBJ4NlB85ylAmtkz45wYkei2bZVC2OxB4exqGJHmvk8O2zoWs4OzbYV6jlIC/OjhVSbBRceNwA4biHwXSaw7AHfXAhGPW7y0ISdFISxJNKcZfQMUYsds2fPDvib4zj07dsXp59+Oh5//PFY9YsRB2RZRkNDA3JycsB380aZEUc0sYNr1z07zGZXr8fvqVwvP4XuTWi2raw+pSduesQOpfSssVwyEW3rJ5aIbjWXhkcrDWuFteMnokIrbWuFB7JMwPMcICn7J72cs8NqU0KabOHEDq+yMOXsyeHZQeucpQJL5zk7AF/52eAwlkSzre7Z4QgOYzGjZ4caxsJ50NCFMBbNthbZA/CAYKXLsyMAURHN97YQNB9owtj+QaXf9TAWOjw7EmnOMnqGqMUO5upDL1rsWnZ2dry7wugOumdHG5qdointKomxy12QyFBtW1Xs4NRKGzQQTXhVRNv6Hdda+IqkPo32xqA0rMWuCAya23eKTQC8qmdHL7twW+yqFwtCP0W0Ssq4BUdGr/Wpq1A9Z2nAqia59b+GBKF5djSrnhMaiWbbsGEsuthhkkosQMgcR9FACFHEDlVwFSjL2QEAX22tAd+wE9N2fw8BwNKKJmyUK/HSlScENkz3D2NJbs+ORJuzjJ4harFD48iRI7DZbMjMzIxlfxhxRBAEHHXUUfHuBqO7OLIB+Dw7zGhX7Qk3AQdO6O4z7sSFZtty6sKVF+kRO5TEucY8OyLaVrDACwEWSHpiUq/q4eHlui9G2NQwFi2hX4pNAKeKHb0tIFrVvtggwivJsAiBT+BsSSR20DxnqUCrTmJA7AgVxpJItvUlKA0OY9ESlJpJ7PDP2RG9Z4cgCBg0ZBgOqudvC2VhLADwp7c34RP+Dgj8XgDAYZLdsRoLEBDG0uL2KtXvLMlZzSTR5iyjZ4jKZ6exsRE33ngj8vLykJ+fj5ycHBQUFOCuu+5Ce3v4+EZGciDLMmpra5n3TrKjiR1oQ2O7aEq7ej3q4o+3KaXSKIVm2woORUgXqBI7PLBx6o22gTCWSLYVOcWDQzvetdKwsfDs0BKU+pdq5NUwFq6XXbhtDp/w4pE6/h42WRm/NSXxxQ6a5ywVaHkKvOHFDq0aS1N7xzCWRLJtiyp2pAWLHSZOUGqDCE8XE5Turz4EG6f8phYKPTscVl9FlqVjn8Ar0tlwWEIsE7UwFl5JHl6fxHk7Em3OMnoGw54d9fX1mDRpEg4cOIDf//73GD16NACgvLwczz77LL7++mt8//33+Pnnn7F27VrcfPPNPdZpRs/BRCsKCMrZAZjPrlqJTIm3dzt3QaJDq20FdeFq9dIzPq/bL77ZQChIJNt6ORtAnLonk6wf9zHIU6P2z8GJerUXXlL6z/W2Z4e6sHBwIho8ElJtvlsXWSZwECfAAdbU5PA0pXXOUoHFQDWWVC2MpWMOmUSyLUtQ6oeau8vOdS2MBQCaWtv0MEQrhWKH3cLD6VV+J6IK6I6Qnh2KR1BfThE76lo9KMxKXk+XRJqzjJ7BsNjxwAMPwGazYefOncjPz+/w3owZM3DFFVfgq6++wjPPPBPzjjJ6Hp7nMWTIkHh3g9Fd/KqxNDlFU9pVUqtGxGTRl8DQbFtbirJwtUptce5J7PD6V3iIIBgYsa2XtwEyIOmeHer/sUggavF5drRonh1q2UUuXJb+HsLfZdzjcQHwjc8pSkiDMm57auJ7dtA8Z6lAD2OJvhpLotlWC2PJcPjd6ssy0HZYeW1Czw47xC5VY+F5Hv0K+6NRFTs4K31ih8MqwOVS75nU499hDeXZoYhkWWgBDxlHkjhJaaLNWUbPYDiM5ZNPPsFjjz3WQegAgIKCAjz66KP48MMPMX/+fMyZMyemnWT0DrIso6amhrlzJTuq2JHFtaFRrcZiNruSWC76EhiabWtLU47jFLkdkkzi3JvYIGtVUzgBEDp/1mDEtlq4iqQ+hSaqyCfzsRA7/BL6qYsDQVbclfnevtH3E4Y87sAn7m0eL1KhjNuWJGEstM5ZKtASlHZWjcURWuxINNuGDGNxNgCymljVTJ4dAQlKu1aN5UD1IV+CaQrvLRxWHk41jOWc3f/Ar/gtoXNxpOYC4CBARg5akjpJaaLNWUbPYFjsqK6uxpgxY8K+P3bsWPA8jwULFsSkY4z44PEk70mLoeJfjaVdsafZ7Opb9NHt2QHQa1tHunIcp3Eu3R072dE8LySDYkQk22r70VyOtTwDcizCTPyehLrUxYFFDWPhe9uF27/MrivwiXu7W0Iap+YSsSe+2AHQO2epwBI5QWlmSvgwlkSybcgwFi1fR0oOYKH/+qjjl7PDLUYvdgBAm8sDm15Ni1LPDj+vOQc8oT07BAuQ2geAWpGlLXk9O4DEmrOMnsGw2JGXl4eqqqqw7+/evRv9+pkoszOF8DyPQYMGsVrTyY4qdggcgae92Zx2VZ/KEQqfvvhDs22tahhLGpwhFxXJSDQ5NYzYVhM79FLL6v5jE8ai7MPCyXC7lZtBgaieHb1diYDj4FGjbkVP4CK0zeNFGtSn8La03u1XF6B5zlKBFqJlpBpLe8cwlkSybZsnhNihV2IxUQgLoAs7AkcgitFfT3ieR5+8frBzmthBn1Bkt/BwEd+4Lp40AqeNDLOu0yqycE1J7dmRaHOW0TMYtu7MmTNx9913h1TA3G437r33XsyaNSumnWP0LrIs48CBA8ydK9mxpkDmlZsxydloTruqT6CJgSSQyQzVtrUrYkcG50QLNZ4dxsUII7aV1aR7micTJ2mlYWMhdvieXHrdijeFVQ1jscQhXt2juleLQWEs7W5/sSO9t7sVNVTPWRrQq7F0kqBUFTta3F7IfiF2iWZb3bPDP2eHGZOTAgHnM8kTfUJKvRoLvB32RwvXn3YUhkyarf89/ZihGDcgK3RjvfxsM44ksdiRaHOW0TNElaD0hBNOwIgRI3DjjTdi1KhRIIRg27ZteOGFF+B2u/H666/3ZF8ZDIYROA6yLRO8qw7E2RTv3sQFTvfsoO+GxDSoC9c0uHCAEs8OrUpQTHJqAJC141s93jmvKnbE0LMDAES12ouFeAAOsNh7P/O+yFkB4iuzq9He3gqeUxec9sQXOxgJjl6NJfyCODNFuXUmBGhxefXqLIlGqzuUZ4cJy84CAedEuZNKO50hSsQvZwd9nh1njM4HRl8JbH8YaD7gE/5CoYoduVwTqpI8jIVBP4bFjgEDBmDNmjW44YYbcNddd4EQ5eaC4ziceeaZeO655zBo0KAe6yij5+F5Hv379493NxixICULcNVB8DQD4Exn15g+4U5gqJ6zdk3scKLFSYfYoYdXGTgujdhWC9PSRBTNowmx8LzgBXhhgQVeeN1Kklgb1HCW3g5jASBytpBih6dNKX8ogwNvSfzyh1TPWRqwRi49a7cIcFh5uEQZzS5RFzsSybYer6yXWA0dxmKysHOeh8RZIRBRr9YW3cd5ZGTnUJ2zQ0cN4dpU7cLgLA/6pIUQdvzCWH5qS17PjkSas4yeI6ogpaFDh+KLL77AkSNHsHbtWqxduxaHDx9GSUkJhg8f3lN9ZPQSsixj7969zJ2LAviUbABABtrQ7PSYzq6cpFx8aSwP5w/Vc1ZNNmnjJLQ56Sg/S1TPC9mAx5ER22qiCScpCzNeF/lic9yLnHKT6/W44PHK+lNNaxw8O7x+ffHH41TEDjfnAJIg7prqOUsDehhL+JwdQOjys4lkW63sLBBUjUUvO2sysQOAFCwOR4EsyzhYfRAWTrUthQ9SdhxqwcotvwDOegDAnz7Yjg1V9aEba54daE7qnB2JNGcZPYdhzw5/cnJyMHHixFj3hZEA2Gz0ueaZEV6vyNKOJqcIu8nsyquLSo7mpy8q1M5Zv/wLrjY6wrG08CqjN8oRbasd3+rxrokdvDU2N+Je3gZI7ZDc7XB7JdhVzw5rHDw7NLEj2AXd62wBALj5VCS+X4cCtXOWBgxUYwGU8rOHmt0dys8mim21EBaHlYdV8BMBNc+ONPOJHVp1tq6IHQDAEb8qLhSKHa/9UAX8+CqmqlFZ7cQOhzVE6VkASPd5dhxpdYMQAo7jeqejMSZR5iyj50j8xyCMXoPneRQUFLCsxDSgenZkcu1odkmmsysvq2IH5Z4dVM9ZXoCHU+ynhSokOz6xI/Jxaci2umeHcrwL2nEfo3AOUa/24oJL9Hl2CPbUmOw/Grxq0mU5KIxFcilihygkh9RB9ZylAat6bEseQA5folTz7Gj2EzsSybYh83UAQKvm2WGynB3wS+js7VoYS5rDb1FMYaU3u4WHU63Gsl44DvXIhMMS5ljWw1ia4fbKaPN0rZxvvEmkOcvoOZh1GTqyLKOqqoq5c9GA7tnRhoZ2t+nsKqhVI3gKn774Q/uc9QjKwsPTTofYoYlwRsQOQ7ZV98PrYod63MdI5NNK5Moel+LZoZdd7P15pfUlON5ecrUCALxC7wswXYH2OZv0+M8dI+Vng8JYEsW24cUOk+bsgF+Oo04q7YRDlmUcPlQNAJDAA0KXHOMTlxUP4fRDr8EJ5Teyqdcqu1UAvn0UWPFQYHvVMyiPU67Nda3JmaQ0keYso+dgYgcjgNTU5LhhZERAEzu4djQ7RdPZVXvCzdvo9uwA6J6zokUJZZGcdIgdWrUUzmCYSSTbaqKGJnZY1ONeiFFODUn17JBFJ9x+OTvikZxP60uwCzpxq2KHJa3X+9RVaJ6zSY+/V1Qni+LMEGIHkDi21cSOgHwdsgS0H1Fem1LsCAz7ixYLlMIMWkgdVfACTt3/EmbwGwAANqIc+/1/fgZY8Q+ADwpnScsDoISxACSpy88mypxl9ByUSZOM7sDzPPr1M98FkEr8c3a4vOjXzzzZpr2SDCtRq0aYIIyF5jkrWdMAly9UIdnRRTgDx6UR22o5aYQgsYPvrGRgFMh+AoNLlPzEjt737NDj7YMXKh5F7JCsyXHDSvucTXp4XglRkNyGPDuaXYFhLIlgW0km2LSnAQAgywSSTCDwHNBeBxAZAAek5sW3k/FADWPhuhjG4rApC34vbwN1PqOn3YENVfX49e4XAQDF2IU/CR+h74YPgGl3A6fdEdheDWNxwINUuJPWsyNR5iyjZ2GeHQwdSZKwc+dOSFJyxt4x/FDFjiyuDY1tHlPZ1SP55RaIQyLF3oT2OStblaf1xE2H2MFLWphJ5OPSiG159fjWRBQLUY57S4yOe1+Mu0v17FCf3sXBs0PWKykELUA9SqUeYk0Ozw7a5ywVWCMnKQ3l2ZEIti0pq8YpjyzHM8t/AQBsq2nBKY8sR0lZtS+EJTWXvjAMAxBrYPWqaJAkCQ11yu8ncdaY9itR2Dr8/7DUe6L+963WD9Ay6Y6OQgeglIZXBeZcrgnLKmqxZmcdJJn0VndjQiLMWUbPw8QOhg7HccjOzk7ajMoMPxzZAJScHU0u0VR2dYvmETton7NELT/LUSB2EEJgUT2OeAPHpRHbaqKJRfaAEKJ7NFnssREjdIHB64bbLcLGqTeEcRQ7IAW6S/OiKnb4Ve9JZGifs1SgeQl1Un7Wl7PDV+I13rYtKavG3Dc2oropcDFf0+TC3Dc2YkNZhbLBhMlJAZ8nnJbQOarPchys6opJojA5KQA4rALmeW+CDOX4lTgrhGl3hm3fbs0BAPRFE97dsA+X/metT1hLEuI9Zxm9AxM7GDo8zyM3N5dlJaYBv5wdLS6vqezq8kqwqYkUY5WoMVGhfc5yqtjBi61x7kn3cXtlOFTPCMFALhkjttX2I8geeGWie17EyrNDj3EXXfC4/RZ+cQhj0ZILIihnh6CKHZw9OcQO2ucsFVh8x304Mh2KZ0RTUDWWeNlWkgkWflqOUM/VtW1frN2ivFDLhpoOPaFz9PkleJ6HjVd+SS2kjjYmDM7Bu2PXgQcBBBsEIiJ1zRMh25aUVWNHq/J75nK+nFqasJYsggc7H5sDZl2GjiRJqKysZO5cNOBfjaXNYyq7+nt2xGNR1pvQPmd5hyZ2tMW5J90nwOPIYBhLJNtqYoeFeAJyalhjlKDUv7St17/kazyebFrUBUbQU1nB2w4A4O3JE8ZC85ylAm1+iu1hm4QqPRtP267fXd/Bo8MfAsDi1JKTmtOzQ6vOxnfBs0OSJLQ21QOgV+wYUfEijvvlBSVHx72Hlf9X/EOpxuKHJqwdJsp9pr/YoQlrCz8tT4qQFnY+NgfmC9pjhIXnefTt25cpnDTgX43F5TWVXQOrRtAtdtA+Zy0pmQAAqzf5xQ6XV/ILrzLm2RHJtpqoYSWegOM+9mKHC163svDzQoAlDvH+mmdHcHJBq6SKHY7MXu9TV6B9zlKBJnZ0Uo0llNgRT9vWtkTOQ9GXa1JemLASCwBwVp8nXLTwPA+r5tkhUCh2fPuoImxMuxuuybfi5931SDnq/zAOULYDeu4OTVirsyjn3Dw0BeyKAKhucmH97npMOiq398bQBdj52BwwsYOho8WuMShAFTsy0I7mdrep7Or2SnEtkdmb0D5nranKzZRNavNVFEhSXKIEO2c8wacR22rhKjZ40O72HfdcjKqxaP3kvG543cpiSuTs8blx0OPtAxcqNlXssDiSI4yF9jlLBZbInh2hEpTG07b9MiKfU/I0sSPNnGKHFtZqIR54JRkWwfgCl+M4WNScRTKNOTtkCa5T/4JNA67Bvs0HcceHPyPDbkHpwjv09zU0Ya0OyvXZ37PDHyMCXLxh52NzwKQsho4kSaioqGDuXDSgih0CR+BubzaVXd1eGXbOHJ4dtM9Zuyp2pHMutLq9EVonNtF6HBmxrUX14LBDRLNLjPlxr4kmvOSGpC78vHFy4eY0F3Q58AbaJivhNRY15CnRoX3OUoE1cs4O/9KzhChP/ONp24lD+6Awy4FwcjAHYIBFTfRs0jAWLWG5nfPCI8lRfVaSJLhbVbGIRrFj2l3YOvx6XPqftbjjw58BAHarUmoXp90BTLtLb6oJa0fUMBZdRAvCiAAXb9j52BwwsYOhw/M8ioqKmDsXDVhTfE8fXM2msquSuyB+JTJ7E9rnrCVFuZlKhxMtLjFC68TGP6eGkePSiG2t6s27Ax40OUU9Aar+ZLqbcGqpRkF2Q1IXfvETOzomFySEwEEUscOWljxhLDTPWSrQw1giV2MRJQKnqCyU4mlbgeew4LzikO9pAsioDHU8Jk1QyqvnMztEuMXoxA7/MBZCo9gBwGHlO/1bQxPW6jSxA4GeHRyAwiwHJg7t0yP9jCXsfGwOmHUZOhzHITMzk5VgogW7cvMveJqRlp5hGruaKUEp9XNWrbCRxrnQ4qLJs8NYGEsk22olbO0Q0ewUY37ca6VtBckDyaOIHRIXJ7FDF158YodLlJEGpV/2lOQQO6ifszSgh7GEFztSbYIeVqeFssTbtrPGFuLFy4/XK8VoFGQ58OLlxyPDqyTYNKtnhxbGYoeS4ygaOI6DhdB9X+HQPDlU7JbQS0RNWPOFsXT07FhwXnFShJ3Ge84yegcmdjB0JEnC1q1bmTsXJXAp2QCUiizrN5eaxq5urwwb1IUx5Z4d1M9ZmxKaoHh2JLfY4RIlOKLI2WHItup+7JyIpnaPXxhLbI57Xi9t6wZRPTukOD3V5EMkF2zzeJGqih221OQJY6F6ztKAXo0lfBgLx3F+SUqVc1Mi2HbW2EKcWayIGbPGFODta0/G93eejlmj84D2OqWRSXN26OdLiHB7o7ORJEnwutQS6CYRO4L/9mfW2ELMPedkAIE5O7JSrHjx8uMxa2xhz3QyxiTCnGX0PEzsYOjwPI8hQ4Ywdy5K4PwqsmTlFZrGrm6vZJqcHdTPWc2zA66kD2MJ9DgyFsYS0bZ+N++tbX4Va2J03Gslci3Eo4sdMh9fsYP3Ezva3RLSOKVffJLk7KB+ztKAgTAWwBfKonl2JIptK2qU3BwXHt8fk47KVZ6wt6llZzkBSE388IIeQT0v2jhv1J4dPM/Dximf4Si9rwj25OhM7ACAU45Vwqb6cK04f5wioI3rn5k0QgeQOHOW0bPE1bqrVq3Ceeedh6KiInAch08++STgfUII7rvvPhQWFiIlJQXTp09HZWVlQJv6+nr8/ve/R2ZmJrKzs3HNNdegtbU1oM3PP/+MU089FQ6HAwMHDsSjjwbWjAaA999/H6NGjYLD4cC4ceOwdOnSqPuS7HAch7S0NObORQua2IE2eDiraezqEmVfzg5KY2s1qJ+zdtWzg6PAsyOgSlDk49KQbS2+GPR2p7/YERvPDq1ErkX2Ezvi5dnh1xeNNo9XD2OBLS0e3Yoa6ucsDWjzp5MwFqBjRZZEsK0oyag8pNwDFxf6hXa1HlL+T+sL8J0vYqlF0M6XnqhzdnAcB14NY+Eo9Rg1Gsaik9oH4HhwILj9lDwAwJpd9Whoi760b7xIhDnL6HniKna0tbXh2GOPxfPPPx/y/UcffRTPPPMM/vWvf2HdunVIS0vDzJkz4XL5XAt///vfY+vWrfj666/x2WefYdWqVbjuuuv095ubmzFjxgwMHjwYP/30E/75z3/i/vvvx0svvaS3+eGHH3DppZfimmuuwaZNmzB79mzMnj0bZWVlUfUl2ZEkCaWl5gl3oB5V7Mji2rClfIdp7OqOclGZzFA/Z22KZwcNCUrd/iKcwTCWiLa1+GLQne2K2CGDAwRrt/sL+ErbWogHxBtfsUNQPTusxM+zw+VGKudW/rAlR+lZ6ucsDVhTlf8jiR1qbgxN7EgE2+483AqPJCPDbsGAHL9ExW2Hlf9NmpwUQIA43JUwFu140PIH0YbDT9y47lfD8NsTBnT+AV4AUnMBAAPtrSguzIQkE3xVXtOT3YwpiTBnGT2PJXKTnuOss87CWWedFfI9Qgieeuop3HPPPbjgggsAAK+//jry8/PxySef4He/+x22bduGkpISbNiwASeccAIA4Nlnn8XZZ5+Nxx57DEVFRXjzzTfh8Xjw3//+FzabDWPGjMHmzZvxxBNP6KLI008/jVmzZuH2228HAPztb3/D119/jeeeew7/+te/DPWFBniex/Dhw5k7Fy3onh3tSMvpaxq7RpsIMpmhfs6qnh0OTkRre+cLj0THFWV4lSHbqvsROAJPu+K6LnI22GP0lEov1Ug8IB7l949XJQJ/4UXD2e7nxZkkYgf1c5YGrMY8O3w5O3xhLPG27bZqJX/CqMKgpOSaZ4dJk5MCCMrZ0YVqLGouMJ7ShygWgceds0bBbuFx6cRBSLEZ8ABK66sIaW2Hcfa4gSivbsbS0hpccuKgnu9wDEiEOcvoeRLWurt370ZNTQ2mT5+ub8vKysJJJ52ENWvWAADWrFmD7OxsXegAgOnTp4Pneaxbt05v86tf/Qo2my+D/MyZM7F9+3Y0NDTobfy/R2ujfY+RvoTC7Xajubk54B8AyLKs/x/ptSRJAa/967kbfU0I6fAaQIfXsiwjJSVF/2xwG1mWA15HM454jSnSa6rH5Jezwylxuo2TekwG+u7xeGBRY2thsVMxpnCvOY6DzWbr0jgSdUwBdvJbwLrbm5N6TE6PVxfhJN4acRyyLMPhcIDjuPBj4n0eHN425Xrm5WwxG5NgU5+Ech541YUfUedUgJ0M2KO7dtLKRlqJR9/ublOqAEjgIfPWpDiXR7rOmub6lMhj0kRyr7PTMWmeHY3tyjHJcRzsdnvAHO7tMZUfVO4zRxdmBva3RQtj6UePnaI99gRlHWCDF06PN6pxEEJ0oZWz2hNnTDG209ypR2HOpEF62dmIY0pVwlfIts9xYc4u8JCx+pcjaGhzJ8yYOhtHqOssgz4SVuyoqVHcoPLzA1Xo/Px8/b2amhr06xeYVdpisaBPnz4BbULtw/87wrXxfz9SX0Lx0EMPISsrS/83cOBAAMCBAwcAANXV1aiurgYA7N+/H7W1tQCAvXv34sgRJZlUVVWVLsrs2rULTU3KzV1lZSVaWpQneRUVFWhvbwcAlJeX66E1paWlEEURsiyjtLQUsixDFEWUlpYCAFwuF8rLywEA7e3t2LZtGzZv3oympiY9H0lTUxN27doFAGhoaEBVVRUA4MiRI9i7dy8AoLa2Fvv370/IMVVUVAAAWlpazDcmv5wdFbv2oaamJvnHZMBOXo/f0ziLg4oxhbOTJElYvXo16urqqBlTgJ0sNoicsqAX25uTekw1tXW62LH34OGIdiorK8NPP/0ESZLCj6l8BzQ8zcpiRuRsMRtTS5ta1hUiRKfSL7fExWU+1RxWjnErEfUxNTcorvkuLgUNjY1JcS4vKyvD5s2b0dLSYu7rUwKPSdScnkVXp2OS1eoctY2tqKqqgiRJWLdunT6+eIxJEztG5acHjElqUr4b6f2osVO0x16rGgpp5zw4Ut8Y1Ziqqqr0SlCt7a6EGVNP2Gld6Xas234Atc2uTsfk2fIhsH8DAID78WX0X3wx1jpuwRlYhy/LqhNqTOHstG3bNvz444+QJCnATgy64EiCyFgcx+Hjjz/G7NmzASh5NKZMmYKDBw+isNCX2ffiiy8Gx3F499138eCDD2LRokXYvn17wL769euHhQsXYu7cuZgxYwaGDh2Kf//73/r75eXlGDNmDMrLyzF69GjYbDYsWrQIl156qd7mhRdewMKFC3Ho0CFDfQmF2+2G2+3W/25ubsbAgQPR0NCA7OxsXXHkeT7sa+1pgfaa53ldgTT6GlDUS//XgiDoT5m015oKarFYQAjp0EaWZX27kb4nwpgivaZ6TBtfAz6fjy+lE7DuxKdx9zmj9T4m7ZgM2OnxxWtx+xY1PO6+eiWHQZKPKdxrjuPgcrlgs9kgCAIVYwq2k/Mfg5EiNuKhIf/FHVfMTtoxPfHlNsxfo5Tqk/5cAT6zoNNxeL1eSJIEm83WYRz+r6W/5cMGEQ/Yb8N97sdQZy1C9l/KYjOmqtXgXz8Xv8hFWGmfij+Kb2HPkN9i4JUv9fp8Orx9Hfq9MxOHSDby7tsFQRDwaclSnLf2UjRY+iLrrzuS4lwe6TprmutTIo/p5/fBffRHYMipIHM+DTumF1f+gke/3IFfH9cf//zNOPA8D7fbDavV2qXxdXdMHMfhxH8sQ12bB5/cMBnHDsz29ff9P4Db+hEw80GQk2+gw07RHns7vgb/1m+wVR6M7bM/x+zx/Q2Pw+v1omThOThXWIum0x5Axml/SowxxdhOO2pbsWBxGdbtbsBVk4fg3nNGhR5H2SfgP7gKHAKXkAQAIcAL/e7D3OvnJcSYOrNT8HW2tbUV2dnZaGpqQmZmJhh0ENecHZ1RUFAAADh06FCAwHDo0CGMHz9eb6OpeRperxf19fX65wsKCnDo0KGANtrfkdr4vx+pL6Gw2+2w2zvG9mknN+3/zl4LgtBjrzmO6/Ca4zj95BDcxkh/E3FMnb2mekx+OTuaXV795J7UYzLwWlarRkicBQIvBLivJeuYwr0mhMBms+l/0zCm4L5I1nRAbITsbE7qMXm9vlwTgj0VUOdiZ/3lDLRx8zbYZBEWUXmiKwm22I1Jy9kBUa/GwltTeux4838d3Hd7qhLSZIMXRBUwJfXJuodP6ZFjr6fG1Nl11jTXp0Qek01NUOp1dTqmnDTl/q7ZJUIQlAWb1WqN6h4vlmOqbXahrs0DngNGFWYG9ldPUJpPj52iPfb8zmeiRKKykwwONtUzz2ZPpfaaO/eNjdh9REl2bbfyofsrSxC+ugtAx2flnLr117XPo9V1I7LShLiPKdJr/+us9ppBF3zkJvFh6NChKCgowLJly/Rtzc3NWLduHSZNmgQAmDRpEhobG/HTTz/pbZYvXw5ZlnHSSSfpbVatWgVR9GXy//rrr3H00UcjJydHb+P/PVob7XuM9IUGZNnnVseggJRsAEAm14Z9h+pMY1dd7ODpTCLmjxnmrGxVFrmyuzVCy8RG8vi5xxpInGvUtiKn5rIQW5TvieVxr1Uv4ETAq3gpctbIfe8JbA7fQsUjqfHZLmXMXktqXPrUFcwwZ5MevfRs5y7tmY7A0rPxtm25mpx0WN/0DmVEfQlK+8G0qHa1dSFBqdPjhU1NUCrYUyK0Tl78y806LELoRnt+AJoPht0HzwFFXB02f7801t2LOfGes4zeIa5iR2trKzZv3ozNmzcDUBKBbt68GXv37gXHcZg3bx7+/ve/Y8mSJSgtLcWVV16JoqIiPdRl9OjRmDVrFq699lqsX78eq1evxk033YTf/e53KCoqAgBcdtllsNlsuOaaa7B161a8++67ePrppzF//ny9H7fccgtKSkrw+OOPo6KiAvfffz9+/PFH3HTTTQBgqC80wPM8xo0bF6CMMpIYRzYAxbMDthTT2NUndtgitEx+zDBniZak1JPcYofsn0tGiHxsGrWtdpynEbX0bCyrpfiVtrWpZXP5OIkdVpuvL25RFTvcypi9lrS49KkrmGHOJj1WdTErtnfazFeNRa3SEWfbamLH6MIQ7vetqhd0mpnFDp94q51DjCJKRM+5ZInTObA3sPuJZB0EM43WQ6G3B1Gh5uNIZOI9Zxm9Q1zDWH788UdMmzZN/1sTIObMmYPXXnsNd9xxB9ra2nDdddehsbERp5xyCkpKSuBw+E40b775Jm666SacccYZ4HkeF110EZ555hn9/aysLHz11Ve48cYbMWHCBOTl5eG+++7Ty84CwOTJk/HWW2/hnnvuwV//+leMGDECn3zyCcaOHau3MdIXGvCPJ2QkOXo1ljY0tosRGtODJnbIBhaUNED7nOXsitjBe1ri3JPuIanHpZe3w2LQVdaIbb2qJ0cmekLsUBcHEPUb/XiJHVrpWYEj8IgeADZw6jEhJ5FnB0D/nE16NLHD27lnhyZ2aJ4dQHxtu61amQ/FwWKH1w24GpXXZvbsEHznM7dXiuqjbq8MGxffc2Bv4PDz7PD38gjAYPni72oEXOoSdQ+oRIWdj+knrmLH1KlTOy3zw3EcHnjgATzwwANh2/Tp0wdvvfVWp99zzDHH4Lvvvuu0zW9/+1v89re/7VZfkh1ZllFeXo5x48YFxLQxkhRV7MiAE3VNbXryJ+pRb1BJLBd9CYoZ5izvUG7cBbEtzj3pHrJaulXi7YYuvEZtK6ueHZmc8hQ6pse96tnh4EQ4ONWzwxYnF26/0B+P0wlkpwMeVeCxJY9nhxnmbNJjic6zwz+MJZ623aZ7dmQEvqF5dfBWICWnl3uVQFj8xY7oPDtcoq90uLYfGnEY8ewYPBnILAKaqxEqbwfAoZbLxQ/eo7Fs2yFceNyAHulrLIj3nGX0DkzKYugIgoDx48ezCU8LdmWRyHMEvOwyj111zw56b0g0zDBnhRTlOLZKbZDlhCge1iWIqOS8MHpcGrWttr9M9ITY4dtXBhSxxhI3scPXF49bGSuvCWC2jFCfSEjMMGeTHqvBnB0pimzpFCV4vHJcbesSJew6rIT6dfDsaFPFjvR+emJkU+Kfs0OMzrPDK/sSlNItdhjw7OAFYNYj6h/Bx5Py99qRt0MGj89/rol9J2MIOx+bAyZ2MHQIIXA6nZ162zCSCKsDRLu4i81YtaMWUhIvFg2jJlI0g2eHGeasNUVZyKbBhVaPN8696QaqZ4dRscOobXWxg1MX/rG8EffzpshS9y/Y4uTCzQvwQrkhFdVkrz6xI3k8O8wwZ5Meq1aNxanU0QxDhp97frNLjKttt9e0QCZAbpoNfTOCzgF6vo6+vd6vhEI9NwocgSh6IjQOJMCzg+J7C7ualNRh5TEq2EPIn+LzgYtfBzILA7dnFAAXv46R0y4DAKyqPIwWV+KGUbPzsTlgYgdDR5Zl/PLLLywrMSWUlFWjzqssTDLRhiv/uwGnPLIcJWXVce5ZD6OKHUYqXiQ7ZpizlhQlHCsd7WhxJa/YQaIU4YzaVhM7sqCJHTE87gUbZPVJnZYTxGKPX34MD5TFpehWvUy8qoeHmtclGTDDnE16/OdQJ3k7BJ5DhkPx7mhyinG1rRbCUlyU2bF8piZ2GMy1QC1+QnBAdSwDuEQJNs7bYT+0cfa4Qtw2YyTevvZkjCnK6rxx8fnAvDJgzmdA1kBl2xn3AcXn4+j8DAzLS4PHK2N5RW3Pd7yLsPOxOWBiB0NHEAQWt0YJJWXVmPvGRjTKysJEi+evaXJh7hsbqRY8OEkTO+i9IdEwxZxVF7JpnCuhnxBFRMslY/C4NGxbS5BnRyyT53EcvFxgThBrHMsuipwidng9Sl8skip2OJIrjIX6OZvsWP2OcdEZvh0Cy8/G07aGKrGkm9yzw09oliOEKAXjlZVKUACovreYNbYAN50+AscNMpjbhReAoacCx1ys/P3LNwCUPIdnj1O8PpaWJu79JjsfmwMmdjB0CCFoa2tj7lxJjiQTLPy0HARAM1SxQ30qq1l24afl1Ia08KrYwVF8Q6Jhijmrlp5Nh0sv8ZiUROlxZNS2RNC8t5SFP2eJrRghamKHuv+45ezw64tXfSprV8UOiyN5PDtMMWeTHcEK8GoaYYMVWZqdYlxtGzY5KeCXs8Pknh08D0kVTKMVO1yiBBvo9+wAgJ2HW7H7SFt0FWtGzFD+/2UZICm/kyZ2rNx+GG3uxLx2s/OxOWBiB0NHlmVUVVUxd64kZ/3uelQ3KRfyZqLEsmtPZQFF8KhucmH97vp4dK/H4WV1UUlxeTgNU8xZu3Lzng5nUnt28JJ6c23wRtmwbdXj3K66WHPW2N6Ie9VqL6mcMq/iWXZREzskt/Jb2ojy1F3L65IMmGLO0oBekaVzzw7/iizxsq0sE7+ysyFCD1oPKf+bXewAIKneHSRascNjjpwdda1unPH4t5j22EpUHmo1/sH+JwCObKXE8YGfACjC25DcVLi9MpYlaCgLOx+bAyZ2MHQEQcCYMWOYO1eSU9viu4j7PDs6ltDzb0cTgqSWyDRBzg5TzFlV7EjjnEmds8MXXmXMM8KwbYOOc94aW88LSRU7wn1fb6I9lZVEJaGcQ1YWorbUEK77CYop5iwNWI2JHVpFlmY1jMWobSWZYM3OOizefABrdtZ1y9Nyf4MTrW4vbAKPYX1DJOttPaz8b/YEpQCIej4jETx2gvHKEqyc6ulA8b3FOxv26a/DVmMJhWABhp+hvK78CkBgKMsXCRrKws7H5oCJHQwdQgiam5uZO1eS0y/DdyFuJlrOjrZO29GE5tnBx6tqRC9iijmrhrGkIblzdujhVQY9I4zaNtiTI9bHvcQHPcWMowu3V+2L7HHB7ZWRCtXDI4nEDlPMWRrQy88a8+xodnkN27akrBqnPLIcl/5nLW55ZzMu/c/abiUP1/J1jMhPh1UIcVvPPDt0tITO0YodWlJkAIDFFr5hkuMvcDisUQoAw89U/lfFDsAXyrJiey3aE7CaGjsfmwMmdjB0ZFnGwYMHmTtXkjNxaB8UZjnAAWiCGsYS5NlRmOXAxKF94tC7nkWSCSxE9ewwSRgL9XNW9ezI4JxoTmLPDkGKLgzEqG35IE+RWOfUkDuIHfGbV1pIjex1o90jIU0VO+xJJHaYYs7SgDavvNGFsUSyrZY8XAs11ehO8nC9Ekuo5KSAX4LSflHvmzb0BNFaDiWDiC4/e1Hs2eEvdtitUS4Rh09X/q/5GWhWjuMxRZkY1CcVLlHGiorDsepmzGDnY3PAxA6GjiAIGDVqFHPnSnIEnsOC84oBAC0hcnYAwF1njYLAcx0+m+x4vDLsahIxIcbu/ImIKeasVo0FyRvGIssEFjk6Ec6obYM9OYQYi3xScHx6HD07NC8TWXShze1FKqcsQIQkq8ZC/ZylAT2MxViC0qZ2MaJt/ZOHB9Od5OHbOqvE4mkHPEo+DyZ2+JX+9nqi+pyseoLI4HzJaymE97svtFuiPEel9wWKjlde+1VlOWtcAYDErMrCzsfmgIkdDB1CCBobG5k7FwXMGluIFy8/HkhRkpVp1Vi069iW/U3x6lqP4vZKenk4wSRhLNTPWZuWs8ONVmdy5pnxSDLsnBKCYzTMxKhtg8UTIcalYYmQODk7ZF5ZWBLRhXaPhHTVswO2EHkKEhRTzFka0MWOjvmu/Mn08+yIZFv/5OGh6Gry8E7LzmqVWAQ7YE8eD6geQxVrtbBCo0iq6OXlbABH34OiUDii9ewA/KqyfK1vOkcNZVleUQunJ4oKL70AOx+bAyZ2MHRkWcbhw4eZOxclzBpbiDsuOAkAMDbbizevOREvXTEBAPDK97vxwy9H4tm9HsElynrG9FgnakxETDFn7b6yop72ljh2pOu4REk/LgWDYSZGbRss6lljLHbIweJGHMPDfPH2brQ6nbqAlExihynmLA1o1w+jpWddYkTbGk0KHk3y8GaXiP0NSqhNyDAWLTlper5pFumdop5DuChzdkhqzg5JFVxp48mvd+CZZZUB22xq/pdnllXiya93GNuRJnbsXAFIyvl5XP8sDMhJgVOUsHJ7YlVlYedjc8DEDoaOIAgYMWIEc+eiCF717ChKlTFlRD9MLy7ApRMHAQBue38LmpzJm/AxFG6v5FsAUZxETMMUc9bigMwpbsNeZ3OcO9M13F7Z53EURRiLEdsGiydWe2rXOhn2C4L6G1fPDs0F3QW3v/BlSw/9gQTEFHOWBgyWnvX37IhkW6NJwaNJHl6hlpztn52CrNQQC3E9OSkLYQF8CaKj9eyQ1bAXb3AOI0oQeA5PfL0DP/xSp2/jOA7PLKvEE1/vMB72XHQckJoLuJuBfev0/WiJSj9PsFAWdj42B0zsYOjIsoy6ujqmcNKEIxsAILX77HrPOaMxODcVB5tcWLhkaxw7F3uURaUmdtAfxmKKOctx8FqUJ/eSK/k9O4yWnjVqW4stNejvGHs0BVV7QXBYS2+iCZheNzxtivAlwpJUwqYp5iwNGKzGkukITFDamW215OHh4BB98vDyg0pI6ujCMHlr2lhyUn849b6Ak6PM2aEeBzJHp2fHzWeMwPwzR+Lz0mqcOCQHD1wwRhc65p85EjefMcLYjnjel6g0RFWW5RW1cImJE8rCzsfmgIkdDB0Wu0YhDsWzAy5faa00uwVPXDwePAd8tOlAwtY/7wpu0V/soPMJjD9mmbOyVRE7iKs1zj3pGu0eCXZOubmuapIMJSA0attgzw6jpW0N4ycaeuIcr040LxOvC6Lq5ePikytczSxzNumxRleNpdlAzg7/5OHBaLNqwXnFUSUP36Z6doTM1wGwSixBcFrODjlKzw5Rad8hYTNFaILHhqoG/P2zbdELHRpaKEulL2/HsQOy0D87Be0eCf/+dhcWbz6ANTvrok7GG2vY+dgcMLGDoSMIAo466ijmzkUTqtghiK0Q/O6fJgzOwdypRwEA/vpxKWqbkzPxYzAuvwSlZvDsMMucJWr5WXiSL4ylpKwal7+yThfh/rvuIE55ZHnEEpNGbdshR0eMRT7Ob39eLr4eFFrZSE7yQFSFLw8f47CdHsYsczbpMRjGookdLW4vOI6PaNtZYwsxMKejQNcn3YYXLz8es8YWRtXNbTWRys6qYSxpTOwAfGKwRfZEt9BWS9XKfPJ4kXWFm88YAZvAwyPJsAl89EIHABx1OsDxQG050LQfgBLKMqpAuY4/+c0O3PLOZlz6n7WGroU9CTsfmwMmdjB0ZFlGbW0tc+eiCb/EffL2LwHZ5z54yxkjMaYoEw3tIu788GcqlG23KPvl7KD3CYyGWeYspyYp5Txtce5JdJSUVWPuGxtR1+rRxQ43bKhpcmHuGxs7vckzatuOYkdsRT7OL9GvN943+lpyQckNSfXs8AjJJXaYZc4mPUbDWFKUfEKEAE1OT0Tb/lLbgn0NTggc8NIVE3DC4BwASsWKaIUOrySjooZ5dkSDltDZDhEer/E5SFTPDplizw5ASUaqCR0eSe6QtNQQqX2AAScqr1XvjpKyaiyr6Jic1Mi1sCdh52NzwMQORgDt7Z2XWWMkEeVLgOcm6H/y714KPDVW2Q7AZuHx5CXjYbPwWLH9MN5avzdePY0ZTo8XNngBABWHxbi7SPYGZpiznOrZYfG2Qk4Sm0oywcJPy6H1Vhc7iFXftvDT8k6PUSO27RC2EmORj/fL2SHFOTkf51c2UlI9O7xCcoWxAOaYs0mPVRXRIlTtsFsEvURns1OMaNtPNh0EAEw9uh9mjCnADdMUD8svymqivl7tPtIGj1dGmk3AoD5hRD8mdgSgleq2c164vcZzR3BqQtMOpbgpwj9Hx45/nIX5Z47EEyGqtBhi+JnK/5Vf69fCUBi9FvYk7HxMP0zsYOjwPI8hQ4aA59lhkfSULwHeuxJoPhi4vbla2a4KHiPzM3DHzKMBAH//bBt21rZizc66hImnjIaSsmrc/uHP+qLy71/tiruLZE9jljkrpChPLdPgxIrttUlxXK7fXY/qJt9CSfM4ckNxeycAqptcWL+7PuTnDds2WNyIsWeHfwlnKd6eHepChZM8IG5V7LAkT9lZwDxzNumxGPPsAPxDWaRObUsIweItBwAAFxzXHwBwyvC+yEqx4nCLG+t214X8XDjKqxXvplGFmeDD5fnQE5TmR7VvWtHFDohwR+HZAa16S3B1KkoIlYxUy+HRJcFjhCp27FqJDb9UB1wLg4l0LexJ2PnYHDDrMnRkWUZNTQ1z50p2ZAkouRM+zdwfdVvJX/SQlqunDMXJw/rAKUqY9fQqXPqftQkTT2kULVygsV3Uc3Z4iCXuLpI9jRnmbElZNb7YoSxs0+HCNYt+TIrjsrYl8OZOOy41sSNcOw3Dtg0WN2Iudvj2lyieHYLsBjzKMaElr00WzDBnqUDz7DAgdmgVWRra3J3aduPeRuyrdyLVJmD6aMXTwmbhMWtMAQDgs5+jO6dpYkfYSiwA8+wIRj2H2OGBW4xiDqoePrR6dkgyCZmMVBM8on7AUHCMIrCJbZCrVhv6SLhrYU/CzsfmgIkdjAA8nujKcTESkD0/dPToCIAAzQeUdgB4nsN5xxQBAEQp8IKWDGJBh3ABvyfoieAi2dPQPGc1EeuIR1lMpHHKwiPWx6Ukk5h7NPXLCBQdNI8jF2ydtvPHkG07iB2xFST8q73EO15dE14E2aPnbyFJJnYAdM9ZarD6Kv9EIivFCh4yLHtXw7LtE6Dq+4D8WBqLNyteHTPHFCDVZtG3n3escv39orQaomR80RWxEou7FRBVF32WoFTB4u/ZEU0Yi5b4nM6cHX/upOrKzWeMwJ/PHBndDnleD2UZ0vCDoY90di3sSdj5mH4skZswzALP8xg0aFC8u8HoLlr2dYPtJJnguRW/hGxCoJTEW/hpOc4sLoiqJF5v0SFcwC8RJBDoIjnpqNx4dLHHoHnO+otYLVAW3OlQxI5YHpclZdVY+Gl5wDFUmOXAgvOKo04Y6M/EoX1QmOXQ9+vQPDuIItxwAAqyHJg4tE/Izxu2bQ+HsVjsCSR22PzEDnURR2zp8exS1NA8Z6lCr8YSOZ5/mrwWz9ifRdH3fm74mUXArEeA4vOV3Uiy7rlxwfiigM+fPKwPctNsqGvz4IeddThtZF9DXdxWbbASizUNsCfXPOkx1POljfNGFcbCq2EsHKViR48w4kxg8xsoPPw9CrPORU2TK6S/caRrYU/CzsfmgHl2MHRkWcaBAweYO1eyYzQ2V20XLBYEE894SiN0DBcIzI0Qrh0N0Dxn/Y/LNqKKHZzPhrE4LjXPkeDjPxaeIwLPYcF5xfrf/h5HmjSz4LzisEKNYdta/KqlwALwsS2hZ/Hz7CBxLucs+JWNFEQljIWzJ5dnB81zliq0XDVihOtG+RLccHghChB0HgrKj/X9L0dQ3+ZBbpoNpwzPC2hqEXicPU4RVj/d0plXpo/DLW4cbnGD44CjC8KEseghLMbEE1Mg+IWxMM+OnmXYVIATwB3ZgYenKcdo8NXOyLWwJ2HnY3PAxA4GgzYGT1aeKnW4rPiRWaS0g3ERIBZiQW+GC2hP0MO1YyQ2/sdbGxTbpaHjMdjV4zI4/MmfWIU/zRpbiPEDswAEehwVZDnw4uXHd8tzRMfv5lvkYh9P7u/ZgTh7duhiB/HAIilP3Hn2xJrRE1gNeHbo+bGAjuu0wPxYizcpISznHlMIi9Dx1vvcY5RzwZdbawwtwjWvjqG5aQEhMQGw5KQd0XN2iFHl7BBk1bPDysQOw6RkA4NOBgCcxm/Bi5cfj4KswPuwmF4LGYwwsDAWhg7P8+jfv3+8u8HoLryguM++dyUUwSPEYi13pP4E2KgI0F2xoHfCBUiHqhfxdJHsaWies/7HW6vm2YGOC4+Qx6UsKTlpWg8pN/qDJ3fweIjGo6mr4U8uUcKOQ4oHQqZFAiTgkUtOxLHHHBfxKZZR20qCHdrIPJwVNpnE9AmZf4LSZq8AKcb7jwYtf4iFiH5iRyfJGRMQmucsVWheTJ3l7FDzY4WfDUp+LNfO7/BVubIfrQpLMCcO6YP8TDsONbuxascRnFncuUCxTU9OGiaEBfB5dqQxzw6dgJwdUYSxyMp9hX91KoYBRpwJ7FkNVH6FWb+/FmcWF2D97nrUtrjQL0O5L4tneDQ7H5sD5tnB0JFlGXv37mXuXDRQfD5w8etAZpCIkKou2navBH78LwCfWBDucsNBESW6Ixb0VriADV59u9FwgWSG5jnrf1y2omMYCxDmuCxfAjw1Flh0LvDhNcr/T43V3ck1esOjac2uOrR7JORn2mEhihv08cOM5RgxYtuSsmqc8s9V8BLlUt4qWWJaqaakrBrzP6rQ/y475I5rJRwtpMZKPLCrYoclJbnEDprnLFVoXkxtdcDu70ImHEX9TkO7Ktu+A+0eCYP6pOK4gdkh2/A8h3PVROFGQln0fB1FBsQO5tnhQ8vZAW9UYSwWzbPDQmc1lh5jxAzl/92rANEJgecw6ahcXDC+PyYdlRv3+zJ2PjYHTOxgBGCzsRM5NRSfD8wrg3zlp2g843HIV34K3FYJnLFAeX/pHcDetQFiQbjLTnfEgt4IFzh+cA4AX6gAAHhgNYWLJK1z1v+4DBfG0uG4LF+ieDQFVyMKip8Hesejadk2JUHgjFG54GRViIsi70VntvUXEDUvJjexxqxSjbb/g62+eelG7PbfFSxqglIb8cAmK8lqk03sAOids9RQvgR49/fKa2ddR8H00Fbg01uUa6gBlu1TzlEXjC8Cx4W/jmqhLN9sOwSnp/OFuLGys2qCUiZ2+NA8OzhPlzw7BObZER39ioHM/oqHVNX38e5NSNj5mH6Y2MHQ4XkeBQUF4Hl2WFADL4Af9itkn/pH8MN+pbjyn/JnoHg2IIvAu1cAzQcxa2xhyHhKh4XvtljQGwlQv9qq3NQdV+Tr/6I/noLv7zydaqGD9jmrHZeONCXvhVZ6ViMv3S9+Wo+f70RWU+PnAcVzJC89/E1Odz2aCCH4plx5sjp9ZI7vDYNiR2e2DRYQdbEjRuWW/ffv9iuVG+9yzlr+EBtEOFSxw5aaXGIH7XM26dEEUy3fhUZzNfDeFcDzJwMvTgZ+eg2Q3ABvCXnG0ZAy+uOVfco16ILxnbvLjx+YjQE5KWj3SFheURu2nUuUsPOwUnq50zCWtsPK/yxBqQ/VMyPanB2aZ54muDIMwnFKKAsAVH4d376EgJ2PzQGzLkNHlmVUVVUxdy7K6GBXjgMueB7oN0a5oXv3CsDrxqyxhfj+ztPx9rUn4/aZRyufJQSnjOjejVJvhAt8ubUGADDj6Gxlg8WBScPz4u4i2dOYYc7OGluIl687HQDQ1+rB29eejN9OGABAWXDL2oJbjZ8PjxI/jz0/AFDEjKwUayftu+fRtPVgM2qaXUixCjhpYKrvDYPZ/DuzbbCAqAkSmujRXQHRf//+VY1itf+uYlXFDitEpKpePrbUThZ7CYgZ5mzSYkQwPbwNAA8UXwBctRT4zX8BcAin+/04YA48Moex/TMxvF/nyXQ5zhfK8tnP4c9lv9S2QpIJclKtKMjsZPHNPDs6EpCzw1gYi1eSYVO9RlmC0i4wXBM7vgRI7wrkkWDnY3PAxA5GAKmpqZEbMZKODna1pwO/ewNwZAMHfgQ+nw8QosdT3jD1KAzNS4NHIrorflfp6XCBxnYP1uysAwBMHaYufExUHs4Mc1ZwKE/vrVI7Jg3rgztmjUKG3YLSA0344Kf9SqNWg8ep2u7tDXux83Ab7BYe/TICjxeB5/DC77vn0fSNOm9OHZEHhxZexVujKg0bzrbBwqBWecjfCyNUO6P4fy5A7CCx2X9Xsdl9C5VUNX+LI8nEDsAcczYpiSiYqvzmFSUn1pApQPEFOHDmv1GDIA8wXpk3A3YsQjZaMDuCV4fGeccq55zlFbVodXtDtik/6EtO2llYDFpVz460foa+2xSoYoctigSlbq+sh8gyz44uMOw0ZT40VAF1xvLc9CbsfEw/TOxg6PA8j379+jF3LsoIa9c+w5SnUhwPbHoD2PCy/pbyhEm56fp0S/di87VEk+HobrjA1+WH4JUJRhVkYECGOsYo8iIkM6aZszb1iSiRAbEdfTPsuPmMEQCAR7+sQOuR/UDpBwb3lYZDzS48vFRJvPmXs0ZhzV1n4O1rT8YjF42DlecgyQQD+3TvBkgTO6YX5/sqOkRxXHZm22Bh0D9nR2ftjOL/OZefwOFCfMs5a54ddoh6/hZLSnKJHaaZs8mIUcGUBC6S+THn4xT3M/i9eC/Ir18G5nwG3PIzvBn90V86gJdsT+LcYmMVnYoLMzEsLw1ur4xvykP3p9xIJRZC/Dw7mNiho5We5aITOzTPDqudLYyjxp6hVEQDgMqv4tuXINj52Bww6zJ0JEnCzp07IUnGM1QzEp9O7Tr8DF/C0pK/KFnnd38HlH6A3+ZWgYeMVTsOo8kpdvysQfwTTYajO+ECWgjLrLEFgFfJmG4Wzw7TzFl/keCXbwBZwpzJQ1Ccy+Ny11uwvXACsOMLY/v65EZ89cY/0er24NiB2bhy0hAIkDGJL8cljvW4YWg1eMhYYqAiQjiqm5woO9AMjgNOH9UP8PiVzA1X2SGIzmwbXEHJpYexKP93V0D0339gGEts9t9VLDZloWHlJKRDzd9iS+vVPnQX08zZZMRouEdQu6wUK2TwWC2NxlbbeEiDJgNZRXj/6CfRTFIwka9AwcpbDbnwcxyHc4/tvCqLXomlM7HD1aTkFAGY2OGPWmVHydlhbA66vZIv+bnAkll2Ca0qS4KJHex8bA6Y2MHQ4TgO2dnZnbtFMpKOiHadcgsw5teA7AVeP18v2Tno04uxLuUWTCNrwz5hMkq4J1A8Bzx/WdfDBVrdXqyqPAIAOGtsoZ/YYQ7PDlPM2fIlwNPjfH+/dyXw5FjYlv4ZH0s3YZ7lI9hkJ1z9jgOm3Q1lKR78e6h/ZxQCzjpcUfsYFtvuw1NTRAgVnwaUqv3zgfn43n4zmjd+5MsHEiXLtinJBY8bmI28vV8Cb1yovOFpCVsKN5jObBtcQck/QWksyi37798TlLMjruWc/co+Wjj1qWySiR2mmLPJyuDJQGYRwtcl45TKEtpTapVUmwCLOhd4Rxo4jgMhBP/d4cBccR5kzgKUvg+sfMhQN85TvSpXVR5GU3vggwZCSGTPDlkCtqvirzWVLdD9sfiJHQY9OzxeGTZODSmymuPeIuZoYsee1YCnLb598YOdj80BEzsYOjzPIzc3l7lzUUZEu3IccPTZyusg99w8UocXrU+heu273erD+z8qeRVOHZGHt689GY//9hik2wXIBEixGc9hEMyKilp4vDKG5qVhZH667yIqOg0/QU9mqJ+z4UrJthwENr4Gu+sIDlmKcIPnZtyY8ihw2h1KLH1mkHiWWQRc/D+0XL8RTwtXoYWk4Bh+F4Z+coFSYSFo/wVcPR4UH0Xlt291qdtanpvr+m5VKzscDmwQohRuMJFsq1WqKcq0wkEUkS8DbSjKtMak3LK2/7wMn9v2ANTGbP9dIpSIaes86WOiQf2cTWZ4AZj1iPpHGMF01sMd8u5wHIdMNdkx70gHz/PYVt2CytpWbOCOhWvW40rDbx8BNkc+p4zIz8CoggyIEtE9FzUONDrR4vLCKnChE56WL1HE1E+uV/4W2w2Jq6bBL2fHtoNNWLOzLmJVKSVnh1KNhTfJg5SYkzcCyB4ESB5g7YtK2GkC3KOx87E5YNZl6EiShMrKSubORRkR7SpLwDf3hXxLu937de3zaGx1hmwT8ftloieR/N0J/TGJL8dFtnW47ejD4CHj3Q37urRfACgp84WwcNs+BT7+P+WNpn2Gn6AnM1TP2U4rI6g4stHyh1X4CpOwbPthrNxeCxSfD8wrU+LmL3pF+X9eKVB8Pv75zS482TYDV6a+AO+4S8LuVrsw5v9wf9Q3Y21uL1bvrAMPGWdUPRGm/x1L4QZjxLaz+A343nELjhGqAACnCaX43nELZvEboupzZ/v/NmW+/vdN1iUx3X/U8BZIfrctbtijSviaCFA9Z2mg+PxOBNPXlfdDoFV2Kq/cDUmSsHjzAQBKGFvqSVcBp96qNFxyM7B7lTLv1ZDRUIu+87RQlqCqLNuqWwAAR/VNh80SdAsfThw2IK6ahW8qGwEAAkfwwy+HcOl/1uKUR5ajpCx8bjK3KMMGxbND4juv4MUIA8cBuUqeLSz/G/DhNQlxj8bOx+aAiR0MHZ7n0bdvX6ZwUkZEu0bIQM9zQBFXh43fL+3S96/acRg1zS5clLIRZ39zph4ucNWOm/C9/WbwFZ/iSKs76v26RAkrtivhApekbVJu5pxBpTApv8mjes4aqYzgasRwTwWumjwEAPDAZ+UQJVlZAA89FRj3G+V/XsBPexrwv7V7AAC3XfQrWI6/otNd8xyQLdZC3LU6qm5/V3kEHq+Mc7N2w9rWWXLfwFK4Hb4/km3VhQ0X9BtxsTrme3r/XYHjAsJqXHzyPWWles7SQieCaTj8PTsATs/5M/s4RbTAtHuAsRcBsgi8eQnw+Cj9Whhq0aclCP9hZ13A9VHP11EUFMJipGxuJ+KqGSgpq8ZN75Xrf2t5OGqaXJj7xsawgodH8uXs4FkYS9coXwLsXNZxe5zv0dj52Bww6zJ0WOwanUS0q8EM9Nt2VHbp+9/dsA8z+fV4jDwGrqVjuMBzliex+cvXo97vqh2H0e6RMDDLhsEbHoAZb/KonrNRlJL90xkjkJtmw67DbXh9zZ4OTTxeGXd99DMIAX4zYQCmDM8zvP/tv0R33GshLKcVGYsHD9ePTm3b0wubBF44iX5ih4dPvsoIVM9ZmgghmHZGpsMCAPDydmzY04DqJhcyHBZMPVpNDsrzwAUvALkjAW870FYbuIOgRd/g3DQcMyALkkzwRZkvlEUrO9shOWlEcbhzcZV2JJlg4aflcMOib9MEDO0st/DT8pAhLW5Rho1T2nJM7Ige/XoSivheT9j52BwwsYOhI0kSKioqmDsXZUS0q8EM9KsPWVAXpQdGXasby7dVY4E1tJihnYCOKXsYRPJGte8SNZb5j4MPdXj6HAi9N3lUz9koKiNkpVhx+8yjAQBPfbOjw3H60qqd2HGoFblpNtx99uio9r/8gPGbIEkmWF6hLGKOPmq4sQ+F6Uentu3phU0CL5xEzpds0SMkn9hB9Zw1MVoYyy979uPjjUrY5lljC+Cw+okkghVwN4fZQ8dFn+bd8ZlfVZZtNWGSk0YhDpuR9bvrUd3kAgEPN1EED73CCpRfv7rJhfW76zt8VsnZobSVOEuH9xkRSODrCTsfmwMmdjB0eJ5HUVERc+eijIh2NZCB/jCfh7XS0brAYJSPNx3A8diGIq4+7N55DuhHjqDyR+MlyTxeWa8QMyXfoEhC4U0e1XM2ysoIvz1hIMYUZaLF5cWjX27Hmp11WLz5AD7auB9PL1O8M+47rxg5aTZD+yfgcJDk4t9VBWhzGzvGNu9rRF2bBxkOC44+aaa6/3CEruyg0alte3phk8ALJy/vEzu8SSh2UD1nTYwmdoiWVN0TY/b4/oGN9vwAtHZ2DQ1c9J1zjHL+WF9Vj0PNLrS6vdhTp5Sx7iB2dLFsrlmobXHpr7XqVZq3Rrh2enuvpOfs4G3Jd86JOwl8PWHnY3PArMvQ4TgOmZmZzJ2LMiLatdMM9ABAsLH4Tsjg8dmWznIQBH2KELy7YR/6odFQ+5/KKgzve+2uOjS7vMhLt2Po0GHGPkThTR7VczbKyghKudQxAJTQqUv/sxa3vLMZ89/bAlEiKC7MxPnH+okPEY974AXHH9EmEnyzzdhNmNZu2tH9YLVagWMvDdMyfGUHvUVntu3phU0CL5y8nC+MxWtNrrKzAOVz1sRoOTu+qjiCZpcX+Zl2nDQsN7BRlIu+/tkpmDA4B4QAn/9cjQo1X0dBpgN90myBn+li2Vyz0C/DF36i5f3x9+zQyE7tmIDUvxoLp5auZURBAl9P2PnYHDCxg6EjSRK2bt3K3Lkow5Bdw2WgB4DUPBSfdjEAYN3uupBPPkKxaV8jKmtb0SjkGGr/5R6Cdo+xJ+jak7MZY/IhDJkCZHT9CXoyQ/2cjbIyQn1b+DCr8urmDmUcOzvuuYEnos+EiwAAizdHSJSqonkbnTG6HyCJwLZPlTeCy6NGqOwARLBtTy9sEnjh5PULY5EtyfeUlfo5a1Iy1Jwd++qVqmXnjCuEwAfNny4s+s5TQ1k+/fmgnpx0dGFGx8/o4m2oPDuRxVXamTi0DwqzHODg8+wIJXYsWLy1QyiL0yPCxinzdf3eloilahlBJPD1hJ2PzQETOxg6PM9jyJAhzJ2LMgzbNTgD/e8/BNLygfYjGLj7fRw7MBsy8ZV7jcR7aknZvmOmdSpGEHA4xOVhlWckPv85sueIJBN8Xa704ayxBcrN21Gnh2lN902eKeaswcoIWgK6cHAIk4AueP/nPats37ceFxcox+OqHYfR0ObptJt76tpQWdsKC89h6sh+wE+vAUd2AKm5wC0/R1XZAYhg2yi9XqKmp/ffDSS/MBZiSz7PDlPMWZNRUlaNf3+7K2Dbki0HO1b36MKi7+xjCsFzwKa9jXjvR+WampViDb3gzhkSercGxFXaUTz/igEAHqKJHaq3htomO8WKqrp2XPzvNViwuAxtbi9Kyqrx+NJSfT9Xv1kWsVQtI4gEvp6w87E5YNZl6HAch7S0NObORRlR2dU/A/2I6cBptyvbV/0Ts8dkA4ChUJZ2jxefqknVfjtxSKeKPQeCjaOVMBntZq4zfqyqx5FWD7JSrDh5WC7QcgjYppYtc2QHNqb8Js80c9ZAZQQtAV04OktAF7D/CVcCx10OABiw/h8YU5gBr0ywNMLN7TfblMSkJw7pgyyuDVjxoPLG1LuAtNyoKjsABmwbpddL1PT0/rtIoNiR3knLxMQ0c9YklJRVY+4bG9HkDPQSqGv1dCxnaiB0LnjR1y/DgeH9lOO89IDi2fHJ5oMdF9yEAF/do7wuvjBqcdUMzBpbiBcvPx6SoISi2DjFk7Qgy4F/XX48Vt05DZdOHAgAWLRmD3716Apc/8ZGuF1OfR8eWCOWqmWEIEGvJ+x8bA5YWmGGjiRJKC8vR3FxMQSBvqfgZqVbdj1+DvDDM0DjXlzkXYqFKMaGPfWoaXKhICt8CbbPf65Gm0fCkNxUnJTdDFR8pryRkgM4GwIbpxfguDMuAb/pe2yoasDOw604qm/4RYyWJHX66HxYBR74ZoGS4b7oeODqr4B9a5WY5/R8RWSh0KNDg81ZH0bDqwy1m3YPUPYRsH895o0tx7XVA7F480H8/qTBYT+ilZydXpwPfPcY4KwH8o4GJvzBUL+CMWTb4vOBUeeoiQ974Jjv6f13AVnwxcxzSejZweYsPWjeZOEKNGveZGcWF/hCWrRFX8mdHStU5I8BRp8XsKmkrBo7DrV22L+24H7x8uMxa2whUPkVsPtbQLABZ94f3svD5MwaWwjyQx/g4B7c/KuB+NOIkzFxaB/dPg/9+hicM64Id364BQcalWuFf7iLR102hbQto3MS8HrCzsfmgHl2MHR4nsfw4cOZOxdldMuuFhsw9a8AgMyfnsevBtqUZGmlnT/R0Dw0fjthALiltwFeFzD0NOC2X3xPnC59B0jtC7TWoKDsJUw9uh8A4P0f94fdLyEEX6phNLPGFgB71wJb3gbAAWc/BlisUT9BT2bYnPXhn4Cu2+0yC4HJNwMApu17AXZOxPrd9TjY6AzZvMkp6h4js4ragXX/Vt6Y+Q9A6NozBcO2NeD10i16ev9RIvE+sYO3h8hdkOCwOUsPXfYmCw6du/AlgLcBh8qArR/pzToLzdMEloWflkMSPT6vjpPnMqEjApxFuQacPCgNk47K7SBWnDIiD3+fPU7/26aKHW5iheaR06mnICM8CXY9Yedjc8Csy9DhOA4pKSnMnYsyum3XYy5WnlA7G/DnDKU87Oc/h0/YuPNwKzZUNYDngMsyNgO/fKM8bTrnCWXhp13ojj4LOOth5UOr/ok5o5Tbtw837odXkkPue8v+JhxsciHVJuDUo3KApbcpbxx/BTBgQtfGl8SwOevDPwFdKDgAhVkOTBzax9gOp9wMpBfA0rQHd+d9DwB6aFYw3+44DK9MMKJfOvr/+AggeZQ8MsOnRz8Qrb/MtiEhgi+MhXckZxgLsysddMubzH/Rd+wlwK/Ua1nJXwGXEq5iVEzZ8/ULvvxAp94a7TDMh1ZRxRs+oXWzy+fNoYW7aIlN/TF6DDASE3Y+NgdM7GDoSJKEzZs3s6zElNFtu/ICcPrdAIBj972JPlwzNu5txIEwT7k1r45ZI9KRs+o+ZeMpfwbyhndsPPYixeNDcuPUyoeRl2bF4RY3Vmw/HHLfWnLUaaP6wbFlEVBTCjiygDMWdG1sSQ6bsz78E9CFSYGGBecVG3c5tqUBpytPSy9xvoNstIStyqJVYZkzoBooXwxwPDDj70A3bqCYbUPjH8ZiSUk+zw5mV3qIqTfZKfOAPkcBrTXAin8AMLaQzkA7+m9+Svlj6l3K9ZDROapnR2dih7/NtDAWd4jIf6PHACMxYedjc8DEDoYOz/MoLi5m7lyUERO7jj4fKDwWvNiGhX2+BhDau0OUZHz40wEAwB32j4CWg0DOUOCU+aH3y3Gqx4cN/M5luGvIDgDAuxs6JiolhOgJwS4YYQOW/0154/R7gbS8ro8tiWFzNhAtAV1wPpmCLIcvtj0axl8G5I+F3duCW6yfoLy6GZWHWgKaiJKMFdtrwUHGhbXPKxuPv1KJv+8GzLZhsPjEDqsj+cQOZld6iKk3mcUOnPO48nr9S8DBzYYW0jdaFsPuaQByRwATrjLadXOjeYd5w4tJ/rbVw1jg8yqL2lOQkZCw87E5YNZlBMAS9NBJt+3KccDpipfG2c5PkY96fBaiTOzK7YdxpNWNSWkHMfiX/ykbz3kMsHZy05Y3HJgyDwBwQc2zSIMTK7bXorY58EZk+6EWVNW1w2bhMW3/vwBXE1AwDjjh6u6NLclhczaQWWML8f2dp+Pta0/G078bj7evPRnf33l69EIHoHg1zVBEtSuErzGYq8GSoFCWDVX1aHF58fuU9Ug78jNgSwem3R2LoTDbhoD4eXZYU5NP7ACYXWkh5t5kR01TvB2JDHw+HxMHZ3UqpgzgDuNqyxfKHzP+DggdwywYITDg2eFvW4cqdniILzkpEKVtGQkLOx/TDxM7GDqyLKO0tBSyHDpfAiM5iZldh58BDJoMQfbgZuvH+Hl/E/bWtQc0eXfDPnCQ8U/Ha+CIBBTPNpa34NT5QM4QWNpq8FDOp5Bkgo82HQho8kWpEsIyZ1AdrFveUDae/VjcE1zFEzZnQyPwHCYdlYsLxvcPmYAuKtTcGxZ4caflHSzZchCE+OovfFNeCwfcuE14W9lw6nwgvV83R8BsGxY/zw57amYcO9I1mF3pIubeZDMfBOyZwIGfIGxa1KmYcoflHdjgBYb+Chg5s+uDMBt6zo7Ow4R026Yrv76Ws6PLtmUkHOx8bA6Y2MHQ4Xke48aNY+5clBEzu3IccMa9AIBLhJUYyB3CZ6W+p9y1zS6s2F6LS4SVGNBWpjzhnvWQsX1bU4CzFRfec12fYjS3B+9t2BewqPxyaw04yJjb9gIAAhx7KTDo5O6NKclhc7aXOPNvIByPs4X16Fu/EVv2NwFQQquWVRzCH4WlyPYeBrIGAiffEJOvZLYNjb9nR2UDgSSHKvyZuDC70ofPm+wkPHnxMXj72pO67k2WUaDnCsKyhZg1RAgpppyRsQfnC2sAcMCMf3QrP5Dp0Dw7JE/EprPGFuLJi0YDAAr6ZHbPtoyEg52PzQGzLiMAlqSHTmJm18GT1afcEuZZPsRnW3yhLB9uPIAsuQl3295RNpx+D5BZZHzfI6YDxbPBEwkP2l7F7iMt+HFPAwBg95E2VNS04DLLSvRp2qo8+Zq+MDZjSnLYnO0F8ovBHXcFAOAe65tYvEkpj/xLbSva6w5grmWJ0m76/YpwFyOYbQMpKavGt7t8OVPmL/4FpzyyXM/lkywwu9KHwHM4eVguzhmbj5OHddOb7MQ/AoXjlVDNr+7tGJr3x5Pwn/yPlbbjLwMKj4nJGEyDQc8ODUFWRJGs9PTu25aRcLDzMf0wsYOhI8syysvLmTsXZcTcrupTpwv51RBryrHrcCsIIXj/x334q/UtZJBWJZfGiddGv+9ZDwG2dBzH7cAlwko9UWlJWQ2y0Iq/2N5T2k29C8jIj814khg2Z3uRaXfDa0nDeH4nPJveg7RrFXavXIRHrC8hjXMDA05U4u1jBLNtICVl1Zj7xkY0i77bljaSgpomF+a+sTFpBA9mV3qJmW15ATj3SQAc8PM7wO5VgaF57u/A7V8PWFN9XiAM42i5TWrKgN3fAXKExa6a26PN7WXzljLY+dgcMLGDoSMIAsaPH8+S9VBGzO1adBww+nzwHMGtlvfw1ecf4Iu3n8Ov6j/Ab4RVIOCAc58ChI5l2iKSWaQnd/yL5W2s2VKOjd9+itof3sA/rf9ChtwM9CsGJl4Xm7EkOWzO9iIZ+eBOmQcAWCg/C+H18zBj2904XdiivH/0WTF1JWe29SHJBAs/LQcB4IHv9yjmq8BBuUld+Gl5UoS0MLvSS0xt2/944MRrlNef3wp4nMrCfPPbwNI7le2Tb47Oe5IBlC8BNrysvN65DFh0LvDUWGV7OEQnACBDECHs/SGyOMJIGtj52BwwsSNKnn/+eQwZMgQOhwMnnXQS1q9fH+8uxQxCCJxOZ0CeBEby0yN2nXY3ZHCYJfyI66tuwdk77sH9NqX6ypH8ycCAE7q+74nXgRSMQzbXhq+Fm3H8isuxwPMEZggbAQA78s7ompBCIWzO9i5Cn6EgACxc4FMgAoAs+1vnN8xRwmzrY/3uelQ3uTCTX4/5lg/17Ytsj+J7+82Ywa9HdZML63fXx7GXxmB2pZeY2/b0e4G0fsCRHcDjI5SF+SfXA22HAI4HcofH5nvMQvkS4L0rAXdg+XA0VyvbQ52/y5cAXyu5ylDzszFxhJE0sPOxOWBiRxS8++67mD9/PhYsWICNGzfi2GOPxcyZM1FbWxvvrsUEWZbxyy+/MHcuyugJu27atA5ciIsDIUBuzWps+nJR13cuWLAj70wQAqRygQnECAGGb322e/unCDZnexFZgvOLexRlIwgO6k3Tp7fH7Kkfs62P2hZF6HjR+hSy0BbwXgHq8aL1Kczk16O2xVgMfjxhdqWXmNs2JdsXGhe8QCcy8NG1bNFtFFkCSu5EyBO4tq3kL4Hnb00ccTUFNu9MHGEkFex8bA44wuQsw5x00kk48cQT8dxzzwFQJsnAgQPxpz/9CX/5y18ifr65uRlZWVloampCZmbylcxjMABA8npx5O8j0ZfUIVSeLpkAtVwu+t6zA4Ileg8Mbf/9SF3IqIDu7p/B6ArSrlUQXj8vcrsrP4Uw7Fe90CPzsKayFoPfOAkFqA97zqlBLvZcvhaTRnS/7C+DkRDIkuJF0HwwTANOCWOZV2rqEuyG2P2d4pURiePnKKV8M/sD718FtNaEach+exph6zQ6YZ4dBvF4PPjpp58wffp0fRvP85g+fTrWrFkT8jNutxvNzc0B/wDoCqIsyxFfS5IU8FrTpqJ5TQjp8BpAh9derxdtbW2QZTlkG//tRvqeCGOK9NoMY5IkCW1tbQF97M6Yytd+gXyEFjoAgOeAAtShYl1Jl8ak7T9c+gPf/r+kyk5dOfYIIWhpadH3Q8OYEtVOO3fthBF27vwlJmPyer1obW0NOQ6z2WkiX4EiLrTQASjnhCKuDidw5Qk/pkjX2WS2E43HXjRjCj4fd3tMe1Z3InQAAAGaDwB7fmB2ivS69VAnv6MfGxcBH14DvDqrE6HD99tLu79PiGPPqD0S3k69PKZQ11kGfTCxwyBHjhyBJEnIzw+sAJGfn4+amtAnxIceeghZWVn6v4EDBwIADhw4AACorq5GdbWSQX7//v16OMzevXtx5MgRAEBVVRUaGpTym7t27UJTk+JOV1lZiZYWxa2xoqIC7e3tAIDy8nK4XIorb2lpKURRhCzLKC0thSzLEEURpaWlAACXy4XycuXmsL29HRUVFaiqqkJzczMqKysBAE1NTdi1axcAoKGhAVVVVfrvsXfvXgBAbW0t9u/fn7BjAoCWlhbTjmnPnj2oqqrCoUOHYjKmmt1KXyLRdmRfl8ZkdP/OhgNU2akrx54sy/j5559RX19PzZgS1U61JBtG+KVZiMmYtm7dip07d+rjMLOdxIa9hn77+qqtCT+mrVu3oqqqCq2trdTZicZjL5oxybKMiooK7NmzJyZjaj+0G4ZoPcTsFGlM6caqt7mKJsNdMAFI6WOofe2unxPi2AMosVMcxqSFsfiPiUEXLIzFIAcPHkT//v3xww8/YNKkSfr2O+64A99++y3WrVvX4TNutxtut1v/u7m5GQMHDkRDQwOys7N1xZHn+bCvJUkCx3H6a57nwXFcVK8BRe30fy0IAgghUb2WZeVJsvY6Ut/ZmOgcU+n3n2LcN5d3Ol8AYOuZb6J48jlRj6ls9WcG9/8WRk86i9mJjalXxrR+V52hUIqq3/+Ak4f3S4oxJY2ddq8Ct8hACNEVSyAcdVpyjIlGO7ExxXZMe1cbOu4x5zNIgyYnx5jiZScOIE+NBZqrwYXI20HAgcssgnzzFoAXwO9ZbSjsRbpiCfhhv6Lv2KNxPhkYR2trK7Kzs1kYC2UwscMgHo8Hqamp+OCDDzB79mx9+5w5c9DY2IjFixdH3Eeix4JpLpgZGRngYlhCkRFfYm3X3srZ0VP7pwk2Z3sPSSa4+8EH8aD4KAAEHJtaxdO/Wu/AP/76Vwjh4i2igNnWDz13QTVCJxhMnvh5Zld6ibltKTruEwIt4SiAwN9TtdXFrwPF5yuv2W9vCoLnbKKv0xhdg4WxGMRms2HChAlYtmyZvk2WZSxbtizA0yOZkWUZBw8e1JVRBh3E2q6CxYKDkxYo+w66B9D+rp60oMtCRE/vnybYnO09BJ7D1NlX4wZxHmoQ6OJcg1zcIM7D1NlXx0ToAJhtA+AFYNYj6h/Bv6/696yHk2LRwexKLzG3LUXHfUJQfL4iaGQWBm7PLAoUOgD225sEdj42B8yzIwreffddzJkzB//+978xceJEPPXUU3jvvfdQUVHRIZdHKJhiyKCJTV8uQtGahchHnb6tBrmonrQAx82ck/D7ZzC6QklZNf62pBQDW7egHxpRi2zsSz8W954/DrPGFkbeAaPrlC9Rykf6J23M7K8sOvwXKgwGTbDjPrbIErDnByVpaXo+MHhyeNGC/famgq3T6ISJHVHy3HPP4Z///Cdqamowfvx4PPPMMzjppJMMfTbRJxEhBE1NTcjKymLutRTRk3aVvF5UrPsSzoYDSMnpj1EnzYypx0VP7z/ZYXM2Pkgywfrd9ahtcaFfhgMTh/aJmUeHBrNtGKJZqCQgzK700qO2TfLjPqmRlco47Yd2IzV/KLjBU9hvTwnBczbR12mMrsHEjl4k0SeRJEnYtWsXhg0bBkFgJ3JaYHalF2ZbemG2pRNmV3phtqUXZls6CbZroq/TGF2DiR29CJtEDAaDwWAwGAwGg5FYsHUanbAEpQwdWZZRV1fHEvVQBrMrvTDb0guzLZ0wu9ILsy29MNvSCbOrOWBiB0OHEILGxkYwZx+6YHalF2ZbemG2pRNmV3phtqUXZls6YXY1ByyMpRdh7lEMBoPBYDAYDAaDkViwdRqdMM8Oho4sy6itrWXuXJTB7EovzLb0wmxLJ8yu9MJsSy/MtnTC7GoOmNjBCKC9vT3eXWD0AMyu9MJsSy/MtnTC7EovzLb0wmxLJ8yu9MPCWHoR5h7FYDAYDAaDwWAwGIkFW6fRCfPsYOjIsoyamhrmzkUZzK70wmxLL8y2dMLsSi/MtvTCbEsnzK7mgIkdjAA8Hk+8u8DoAZhd6YXZll6YbemE2ZVemG3phdmWTphd6YeFsfQizD2KwWAwGAwGg8FgMBILtk6jE+bZwdCRZRkHDhxg7lyUwexKL8y29MJsSyfMrvTCbEsvzLZ0wuxqDpjYwWAwGAwGg8FgMBgMBoMqWBhLL8LcoxgMBoPBYDAYDAYjsWDrNDqxxLsDZkLTlZqbm+Pck9Bo7lz9+/cHzzOnH1pgdqUXZlt6YbalE2ZXemG2pRdmWzoJtqu2PmN+AHTBxI5epKWlBQAwcODAOPeEwWAwGAwGg8FgMBj+tLS0ICsrK97dYMQIFsbSi8iyjIMHDyIjIwMcx8W7Ox1obm7GwIEDsW/fPua+RRHMrvTCbEsvzLZ0wuxKL8y29MJsSyfBdiWEoKWlBUVFRcyDhyKYZ0cvwvM8BgwYEO9uRCQzM5OdzCmE2ZVemG3phdmWTphd6YXZll6YbenE367Mo4M+mGzFYDAYDAaDwWAwGAwGgyqY2MFgMBgMBoPBYDAYDAaDKpjYwdCx2+1YsGAB7HZ7vLvCiCHMrvTCbEsvzLZ0wuxKL8y29MJsSyfMruaAJShlMBgMBoPBYDAYDAaDQRXMs4PBYDAYDAaDwWAwGAwGVTCxg8FgMBgMBoPBYDAYDAZVMLGDwWAwGAwGg8FgMBgMBlUwsYPBYDAYDAaDwWAwGAwGVTCxoxd46KGHcOKJJyIjIwP9+vXD7NmzsX379oA2LpcLN954I3Jzc5Geno6LLroIhw4d0t/fsmULLr30UgwcOBApKSkYPXo0nn766Q7f5Xa7cffdd2Pw4MGw2+0YMmQI/vvf/wa0ef/99zFq1Cg4HA6MGzcOS5cuDXj/0KFDuOqqq1BUVITU1FTMmjULlZWVUfUXAG6++WZMmDABdrsd48ePD/nb/Pzzzzj11FPhcDgwcOBAPProox3aROpvvDCjXevq6jBr1iwUFRXBbrdj4MCBuOmmm9Dc3Ky3qa6uxmWXXYaRI0eC53nMmzevw3j+85//4NRTT0VOTg5ycnIwffp0rF+/PvKP3kuY0bYar732Go455hg4HA7069cPN954Y8D7yTxnAfPadsOGDTjjjDOQnZ2NnJwczJw5E1u2bAnYx1VXXYVx48bBYrFg9uzZHcbz0Ucf4cwzz0Tfvn2RmZmJSZMm4csvv+z8B+8laLTrSy+9hKlTpyIzMxMcx6GxsbFDX/7xj39g8uTJSE1NRXZ2dsjfZu/evTjnnHOQmpqKfv364fbbb4fX6w1os3LlShx//PGw2+0YPnw4XnvttZD7igdmte3555+PQYMGweFwoLCwEFdccQUOHjwYMOZknrOAeW0LAJ9//jlOOukkpKSkICcnp4P9kn3eMhgJA2H0ODNnziSvvvoqKSsrI5s3byZnn302GTRoEGltbdXbXH/99WTgwIFk2bJl5McffyQnn3wymTx5sv7+K6+8Qm6++WaycuVKsnPnTvK///2PpKSkkGeffTbgu84//3xy0kknka+//prs3r2b/PDDD+T777/X31+9ejURBIE8+uijpLy8nNxzzz3EarWS0tJSQgghsiyTk08+mZx66qlk/fr1pKKiglx33XVR95cQQv70pz+R5557jlxxxRXk2GOP7fC7NDU1kfz8fPL73/+elJWVkbfffpukpKSQf//734b7G0/MaNf6+nrywgsvkA0bNpCqqiryzTffkKOPPppceumlepvdu3eTm2++mSxatIiMHz+e3HLLLR1+u8suu4w8//zzZNOmTWTbtm3kqquuIllZWWT//v1dN0gMMaNtCSHk8ccfJ0VFReTNN98kv/zyC9myZQtZvHix/n6yz1lCzGnblpYW0qdPH3LVVVeRiooKUlZWRi666CKSn59PPB4PIYSQ1tZWcv3115OXXnqJzJw5k1xwwQUdfrtbbrmFPPLII2T9+vVkx44d5K677iJWq5Vs3Lixe0aJATTa9cknnyQPPfQQeeihhwgA0tDQ0GHc9913H3niiSfI/PnzSVZWVof3vV4vGTt2LJk+fTrZtGkTWbp0KcnLyyN33XWX3mbXrl0kNTWVzJ8/n5SXl5Nnn32WCIJASkpKorZDT2BW2z7xxBNkzZo1pKqqiqxevZpMmjSJTJo0SX8/2ecsIea17QcffEBycnLIiy++SLZv3062bt1K3n33Xf19GuYtg5EoMLEjDtTW1hIA5NtvvyWEENLY2EisVit5//339Tbbtm0jAMiaNWvC7ueGG24g06ZN0//+4osvSFZWFqmrqwv7mYsvvpicc845AdtOOukk8n//93+EEEK2b99OAJCysjL9fUmSSN++fcl//vOfLvV3wYIFIcWOF154geTk5BC3261vu/POO8nRRx9tuL+JhNnsqvH000+TAQMGhHzvtNNOCyl2BOP1eklGRgZZtGhRxLbxwAy2ra+vJykpKeSbb74J2xfa5iwh5rDthg0bCACyd+9evc3PP/9MAJDKysoO/ZozZ07IhVMoiouLycKFCw217U2S3a7+rFixIuyiSePVV18NKXYsXbqU8DxPampq9G0vvvgiyczM1OfxHXfcQcaMGRPwuUsuuYTMnDkz7PfFE7PZVmPx4sWE4zhdoPSHhjlLiDlsK4oi6d+/P3n55ZfD9oXGectgxAsWxhIHmpqaAAB9+vQBAPz0008QRRHTp0/X24waNQqDBg3CmjVrOt2Ptg8AWLJkCU444QQ8+uij6N+/P0aOHInbbrsNTqdTb7NmzZqA7wGAmTNn6t/jdrsBAA6HQ3+f53nY7XZ8//333epvMGvWrMGvfvUr2Gy2gL5s374dDQ0NhvqbSJjRrgcPHsRHH32E0047rZNfJjLt7e0QRTFg3ImEGWz79ddfQ5ZlHDhwAKNHj8aAAQNw8cUXY9++fQF9oWnOAuaw7dFHH43c3Fy88sor8Hg8cDqdeOWVVzB69GgMGTLE+I8VhCzLaGlpSch5m+x2jRVr1qzBuHHjkJ+fH9CX5uZmbN261VB/Ew0z2ra+vh5vvvkmJk+eDKvV2uX9JPKcBcxh240bN+LAgQPgeR7HHXccCgsLcdZZZ6GsrCygL7TNWwYjXjCxo5eRZRnz5s3DlClTMHbsWABATU0NbDZbh3jb/Px81NTUhNzPDz/8gHfffRfXXXedvm3Xrl34/vvvUVZWho8//hhPPfUUPvjgA9xwww16m5qamoCTZ/D3aBeRu+66Cw0NDfB4PHjkkUewf/9+VFdXd7m/oQjXF+09I/1NFMxm10svvRSpqano378/MjMz8fLLLxv/sUJw5513oqioqMOFOxEwi2137doFWZbx4IMP6v2or6/HmWeeCY/H02lftPeM9DeRMIttMzIysHLlSrzxxhtISUlBeno6SkpK8MUXX8BisUT/w6k89thjaG1txcUXX9zlffQENNg1VnRnzjY3NwcsBhMBs9n2zjvvRFpaGnJzc7F3714sXrw46n34k6hzFjCPbXft2gUAuP/++3HPPffgs88+Q05ODqZOnYr6+vpO+6K911mbRJy3DEY8YWJHL3PjjTeirKwM77zzTpf3UVZWhgsuuAALFizAjBkz9O2yLIPjOLz55puYOHEizj77bDzxxBNYtGiR4ROf1WrFRx99hB07dqBPnz5ITU3FihUrcNZZZ4Hn2eESDrPZ9cknn8TGjRuxePFi7Ny5E/Pnz496HxoPP/ww3nnnHXz88ccBT0wSBbPYVpZliKKIZ555BjNnzsTJJ5+Mt99+G5WVlVixYkXUY04GzGJbp9OJa665BlOmTMHatWuxevVqjB07Fuecc06Xb4rfeustLFy4EO+99x769evXpX30FGaxqxkxm21vv/12bNq0CV999RUEQcCVV14JQkjU+wESe84C5rGtLMsAgLvvvhsXXXQRJkyYgFdffRUcx+H999+PbsAMBiMi7Krai9x000347LPPsGLFCgwYMEDfXlBQAI/H0yFj86FDh1BQUBCwrby8HGeccQauu+463HPPPQHvFRYWon///sjKytK3jR49GoQQ7N+/X/+u4Cz9wd8zYcIEbN68GY2NjaiurkZJSQnq6uowbNiwqPvbGeH6or1ntL/xxox2LSgowKhRo3D++efj3//+N1588cUuPbV67LHH8PDDD+Orr77CMcccE/Xnexoz2bawsBAAUFxcrL/ft29f5OXlYe/evZ32RXvPaH8TATPZ9q233kJVVRVeffVVnHjiiTj55JPx1ltvYffu3V16UvzOO+/gj3/8I957772E88aixa6xojtzNjMzEykpKTHtT3cwo23z8vIwcuRInHnmmXjnnXewdOlSrF27Nur9JPKcBcxl21DXWrvdjmHDhsXkWpto85bBiDdM7OgFCCG46aab8PHHH2P58uUYOnRowPsTJkyA1WrFsmXL9G3bt2/H3r17MWnSJH3b1q1bMW3aNMyZMwf/+Mc/OnzPlClTcPDgQbS2turbduzYAZ7n9YvHpEmTAr4HUGL1/b9HIysrC3379kVlZSV+/PFHXHDBBVH1NxKTJk3CqlWrIIpiQF+OPvpo5OTkRN3f3obZVUF7SqHFsxrl0Ucfxd/+9jeUlJTghBNOiOqzPY0ZbTtlyhR9u0Z9fT2OHDmCwYMH631J5jkLmNO27e3t4HkeHMfpbbS/tflrlLfffht/+MMf8Pbbb+Occ86J6rM9CW12jRWTJk1CaWkpamtrA/qSmZmpL7bYnFVIdNt29VqbqHMWMKdtJ0yYALvdHnCtFUURVVVVAdfaZJ+3DEbCEIekqKZj7ty5JCsri6xcuZJUV1fr/9rb2/U2119/PRk0aBBZvnw5+fHHHzuUGCstLSV9+/Yll19+ecA+amtr9TYtLS1kwIAB5De/+Q3ZunUr+fbbb8mIESPIH//4R73N6tWricViIY899hjZtm0bWbBgQYeykO+99x5ZsWIF2blzJ/nkk0/I4MGDya9//euAMUXqLyGEVFZWkk2bNpH/+7//IyNHjiSbNm0imzZt0jNJNzY2kvz8fHLFFVeQsrIy8s4775DU1NQOZSwj9TdemNGun3/+Ofnvf/9LSktLye7du8lnn31GRo8eTaZMmRKwH83WEyZMIJdddhnZtGkT2bp1q/7+ww8/TGw2G/nggw8Cxt3S0tINi8QOM9qWEEIuuOACMmbMGLJ69WpSWlpKzj33XFJcXKxn/0/2OUuIOW27bds2Yrfbydy5c0l5eTkpKysjl19+OcnKyiIHDx7U223dupVs2rSJnHfeeWTq1Kn6PNZ48803icViIc8//3zAuBsbG7tnlBhAo12rq6vJpk2byH/+8x8CgKxatYps2rQpoKLEnj17yKZNm8jChQtJenq6bjPtXKqVsJwxYwbZvHkzKSkpIX379g1ZwvL2228n27ZtI88//3xClbA0o23Xrl1Lnn32WbJp0yZSVVVFli1bRiZPnkyOOuoo4nK59P0k85wlxJy2JUQpCdy/f3/y5ZdfkoqKCnLNNdeQfv36kfr6ekIIHfOWwUgUmNjRCwAI+e/VV1/V2zidTnLDDTeQnJwckpqaSi688EJSXV2tv79gwYKQ+xg8eHDAd23bto1Mnz6dpKSkkAEDBpD58+cHXDQIUU7WI0eOJDabjYwZM4Z8/vnnAe9rpUStVisZNGgQueeeewJKTRrpLyFK2dFQfd69e7feZsuWLeSUU04hdrud9O/fnzz88MMdfr9I/Y0XZrTr8uXLyaRJk0hWVhZxOBxkxIgR5M477+xQWi3SmAYPHhyyzYIFC4wboAcxo20JIaSpqYlcffXVJDs7m/Tp04dceOGFAeVKCUnuOUuIeW371VdfkSlTppCsrCySk5NDTj/99A6lG8PNS41w5/Q5c+YY/fl7DBrtGq4//mOaM2dOyDYrVqzQ21RVVZGzzjqLpKSkkLy8PHLrrbcSURQDvmvFihVk/PjxxGazkWHDhgV8R7wxo21//vlnMm3aNNKnTx9it9vJkCFDyPXXX0/2798fsJ9knrOEmNO2hBDi8XjIrbfeSvr160cyMjLI9OnTA0raEpL885bBSBQ4QrqY6YjBYDAYDAaDwWAwGAwGIwFhOTsYDAaDwWAwGAwGg8FgUAUTOxgMBoPBYDAYDAaDwWBQBRM7GAwGg8FgMBgMBoPBYFAFEzsYDAaDwWAwGAwGg8FgUAUTOxgMBoPBYDAYDAaDwWBQBRM7GAwGg8FgMBgMBoPBYFCFJd4dYDAYDAaDwWAwEg1JkiCKYry7wWAwGAw/bDYbeN6YzwYTOxgMBoPBYDAYDBVCCGpqatDY2BjvrjAYDAYjCJ7nMXToUNhstohtOUII6YU+MRgMBoPBoITt27fjtNNOQ2VlJTIyMkK2ee211zBv3rxOF4z3338/PvnkE2zevBkAcNVVV6GxsRGffPJJ2M8MGTIE8+bNw7x580K+f+TIERQXF2Pjxo0YMGCAwRExGD6qq6vR2NiIfv36ITU1FRzHxbtLDAaDwQAgyzIOHjwIq9WKQYMGRTw/M88OBoPBYDASkKuuugqLFi0CAFgsFvTp0wfHHHMMLr30Ulx11VWGXTgBY8JDNNx1113405/+FFboiCd5eXm48sorsWDBArzyyivx7g4jyZAkSRc6cnNz490dBoPBYATRt29fHDx4EF6vF1artdO2LEEpg8FgMBgJyqxZs1BdXY2qqip88cUXmDZtGm655Race+658Hq9cenT3r178dlnn+Gqq66Ky/cb4Q9/+APefPNN1NfXx7srjCRDy9GRmpoa554wGAwGIxRa+IokSRHbMrGDwWAwGIwExW63o6CgAP3798fxxx+Pv/71r1i8eDG++OILvPbaa3q7J554AuPGjUNaWhoGDhyIG264Aa2trQCAlStX4g9/+AOamprAcRw4jsP9998PAPjf//6HE044ARkZGSgoKMBll12G2traTvv03nvv4dhjj0X//v0Dtr/22msYNGgQUlNTceGFF6Kurq7DZx9++GHk5+cjIyMD11xzDVwuV8jveOyxx1BYWIjc3FzceOONHZJEtre34+qrr0ZGRgYGDRqEl156KeD9MWPGoKioCB9//HGnY2EwwsFCVxgMBiMxieb8zMQOBoPBYDCSiNNPPx3HHnssPvroI30bz/N45plnsHXrVixatAjLly/HHXfcAQCYPHkynnrqKWRmZqK6uhrV1dW47bbbAChPsf/2t79hy5Yt+OSTT1BVVRXRY+O7777DCSecELBt3bp1uOaaa3DTTTdh8+bNmDZtGv7+978HtHnvvfdw//3348EHH8SPP/6IwsJCvPDCCx32v2LFCuzcuRMrVqzAokWL8NprrwUIOwDw+OOP44QTTsCmTZtwww03YO7cudi+fXtAm4kTJ+K7777rdCwMRiLi8Xjw4IMPYtu2bfHuCiOGvPvuu0yAZTB6GSZ2MBgMBoORZIwaNQpVVVX63/PmzcO0adMwZMgQnH766fj73/+O9957D4Di7pmVlQWO41BQUICCggKkp6cDAK6++mqcddZZGDZsGE4++WQ888wz+OKLL3SvkFDs2bMHRUVFAduefvppzJo1C3fccQdGjhyJm2++GTNnzgxo89RTT+Gaa67BNddcg6OPPhp///vfUVxc3GH/OTk5eO655zBq1Cice+65OOecc7Bs2bKANmeffTZuuOEGDB8+HHfeeSfy8vKwYsWKgDZFRUXYs2dP5B+TwUgwbr31VpSWlmLUqFH6ttdeew3Z2dn63/fffz/Gjx/f+50D8Morr2DGjBmG2w8ZMgRPPfWU4fYrV64Ex3FUVcMpKSnB3XffjUmTJsW7KwnP1KlTOwjcicJVV12F2bNn639PnTo1IFl2tMe6UeI533ub3/3ud3j88cdjtj8mdjAYDAaDkWQQQgLcOL/55hucccYZ6N+/PzIyMnDFFVegrq4O7e3tne7np59+wnnnnYdBgwYhIyMDp512GgAlL0c4nE4nHA5HwLZt27bhpJNOCtgWfFNvpA2ghKAIgqD/XVhY2CG05phjjtFfayJOcJuUlJSI42cwouHw4cOYO3cuBg0apIeYzZw5E6tXrza8j2DRIpj33ntP99DqzFX7tttuCxABgxdhPYXL5cK9996LBQsW6NsiLcQ2bNiA6667rsf7lgiEssPu3btxyy23YOnSpSgoKIhPxzqB47iAClgcx8HhcHQQi2fPnh3g+XfVVVfpoZE2mw3Dhw/HAw88oOeT0kSrUP9qamq63N+qqqqAfeXm5mLGjBnYtGlTl/cZ7ju0SmEaTz/9dMIKMV1hyJAh4DgOa9euDdg+b948TJ06NWBbc3Mz7r77bowaNQoOhwMFBQWYPn06PvroI2jFXadOnRrS3tdff72+H//tWVlZmDJlCpYvX66/f8899+Af//gHmpqaYjJGJnYwGAwGg5FkbNu2DUOHDgWg3JSde+65OOaYY/Dhhx/ip59+wvPPPw9AcYcPR1tbG2bOnInMzEy8+eab2LBhg+5i3dnn8vLy0NDQEMPRBBKcWZ3jOMiyHHWb+vp69O3bt2c6yTAlF110ETZt2oRFixZhx44dWLJkCaZOnRoyP01Xufjii7F8+XI9AV840tPT41It5oMPPkBmZiamTJli+DN9+/Y1dcLXoUOHYvv27Rg5cmS8u2IYjuNw3333RWynJdGurKzErbfeivvvvx///Oc/A9ps375dD6HU/vXr16/bffzmm29QXV2NL7/8Eq2trTjrrLN63BsoKyurU7EyGXE4HLjzzjs7bdPY2IjJkyfj9ddfx1133YWNGzdi1apVuOSSS3DHHXcECBPXXnttB3s/+uijAft79dVXUV1djdWrVyMvLw/nnnsudu3aBQAYO3YsjjrqKLzxxhsxGR8TOxgMBoPBSCKWL1+O0tJSXHTRRQAU7wxZlvH444/j5JNPxsiRI3Hw4MGAz9hstg5ZyysqKlBXV4eHH34Yp556KkaNGhUxOSkAHHfccSgvLw/YNnr0aKxbty5gW/CTIiNtYklZWRmOO+64Hts/w1w0Njbiu+++wyOPPIJp06Zh8ODBmDhxIu666y6cf/75eruuJgt2u9247bbb0L9/f6SlpeGkk07CypUrw/bH35vi/vvvx6JFi7B48WJ9v9pn9+3bh4svvhjZ2dno06cPLrjggoAQuJUrV2LixIlIS0tDdnY2pkyZ0mn41zvvvIPzzjsvqt8u2LWf4zi8/PLLuPDCC5GamooRI0ZgyZIlHT73008/4YQTTkBqaiomT54ckJdn586duOCCC5Cfn4/09HSceOKJ+OabbyL25dNPP8WJJ54Ih8OBvLw8XHjhhfp7DQ0NuPLKK5GTk4PU1FScddZZqKys1N/XvHK+/PJLjB49Gunp6fpiHwhvh2AvAc3jYdmyZWHHF8pDJPhpe0lJCU455RRkZ2cjNzcX5557Lnbu3BnxNzDCTTfdhDfeeANlZWWdttM8nAYPHoy5c+di+vTpHWzZr18/PYRS+xdN6fRw5ObmoqCgACeccAIee+wxHDp0SL/GfPjhhxgzZgzsdjuGDBnSISxiyJAhePDBB8MmutYeJhx33HHgOE7/3Y14UEVKoH3nnXdi5MiRSE1NxbBhw3Dvvfd2SMIdKZn3hg0bcOaZZyIvLw9ZWVk47bTTsHHjRsO/nT/XXXcd1q5di6VLl4Zt89e//hVVVVVYt24d5syZg+LiYowcORLXXnstNm/erIfGAkolq2B7Z2ZmBuwvOzsbBQUFGDt2LF588UU4nU58/fXX+vvnnXce3nnnnS6NJxgmdjAYDAaDkaC43W7U1NTgwIED2LhxIx588EFccMEFOPfcc3HllVcCAIYPHw5RFPHss89i165d+N///od//etfAfsZMmQIWltbsWzZMhw5cgTt7e0YNGgQbDab/rklS5bgb3/7W8Q+zZw5E2vWrAkQT26++WaUlJTgscceQ2VlJZ577jmUlJQEfO6WW27Bf//7X7z66qvY8f/t3X1U1FX+B/D3MMOjPKSIilsoycNxllCx1QV/pamIBzWzNk1BYE0NS+nns6gI6pKbGpTasrtqrk+F6WY/yjQJMwERV1MgHxI8E54NEFFXnhVm7u+PWSa/zDDO4Cg6vV/nzNHv/d65c7/3i3P8frj3cy9dQmJiIs6dO2eBUdJXX1+P06dPm5VXgMgYZ2dnODs74/PPP8ft27fbrNfeZMGzZ89GXl4e0tPTUVhYiFdffRWjR4+WPGy3ZcGCBZg4caLuwbu8vBwhISFoampCWFgYXFxckJ2djdzcXN0D+p07d9Dc3IyXXnoJQ4cORWFhIfLy8jBz5kyjy2dycnL0EhS3x8qVKzFx4kQUFhYiPDwcEREReltFL1u2DO+99x5OnToFhUKBadOm6c7V1tYiPDwcWVlZOHPmDEaPHo1x48YZXYJ34MABTJgwAeHh4Thz5gyysrIwaNAg3fmYmBicOnUKGRkZyMvLgxAC4eHhkgfR+vp6rF+/Hjt37sSxY8dw5coV3T1s6z60xdj1maKurg7z5s3DqVOnkJWVBRsbG0yYMEEyy23YsGHt2iZ8yJAhGDt2LJYsWWLW+xwdHY3ODHxQHB0dAWhnJZ4+fRoTJ07Ea6+9hqKiIiQlJSEhIcGsRNcnT54E8MvskbsTgt/LvRJou7i44B//+AfOnz+PDz74AJs3b0ZqaqruvCnJvGtqahAdHY2cnBycOHECvr6+CA8PR01Nja5OTEyM3lIUQ7y9vREbG4v4+Hi9GZIAoNFokJ6ejoiICL18XYD2u1GhUJgyNAbdfe9aDBo0CCdPnjT6XWsyQURERI+c6OhoAUAAEAqFQnh4eIiRI0eKjz76SKjVakndlJQU4enpKRwdHUVYWJjYsWOHACBu3rypqxMbGyvc3d0FAJGYmCiEEOLjjz8WvXv3Fvb29iI4OFhkZGQIAOLMmTNt9qupqUn07NlTHDp0SFK+detW8eSTTwpHR0cxbtw4sX79euHm5iapk5ycLLp27SqcnZ1FdHS0WLRokejXr5/kmsePHy95z9tvvy2GDh2qO+7Vq5dITU2V1OnXr5/umlquy9/fv81rIGpLQ0ODOH/+vGhoaNA7t2/fPtG5c2fh4OAgQkJCRHx8vCgoKDDa3t69e4W7u7vueNu2bXr/LkpLS4VcLhc///yzpHzEiBEiPj7e4PsSExPv+W9n586dwt/fX2g0Gl3Z7du3haOjo/j666/F9evXBQBx9OhRo9fQ4ubNmwKAOHbsmKS8dV9aa/1vFoBYvny57ri2tlYAEAcPHhRCCPHtt98KAOKbb77R1Tlw4IAAYPC+tPjtb38rNm7c2Ob54OBgERERYfDcpUuXBACRm5urK6uqqhKOjo7i008/FUJo7wEAUVJSoqvz4Ycfiu7du+uODd0HlUol+V415fpM+S5s7dq1awKAKCoq0pVNnTpVLFmypM33CKG9H/v379c7PnfunJDL5br7PX78eBEdHW3wWjUajcjMzBT29vZiwYIFkuvs1KmT5KVUKo32Z+jQoWLbtm1tnm89njdv3hQTJkwQzs7OoqKiQkyZMkWEhoZK3rNw4ULJ5/bq1UtERkbqjjUajejWrZtIS0sz+BmGrrmlr2+//bbJ7Rqybt06MXDgQN1xcHCwePPNNyV1Bg8ebPTfmFqtFi4uLuKLL77QlS1ZskRMnTq1zfe09Dc1NVVUVlYKFxcXsWPHDiGE9Gft6tWrAoBISUkx2pYQ2vGwtbXVu+e7du3S1bn7562urk68+eabQi6XS75LCwoKBADx008/GfwcY9/TrbU/DENEREQPjKEtV9syd+5czJ07V1I2depUyXFaWhrS0tIkZZMnT8bkyZMlZeK/icbaolAosHTpUqSkpEh2XJk2bZrebybnz58vOV66dCmWLl0qKXv33Xd1fzd0va0z2989Bb+FoSRypqw3JzLHK6+8gjFjxiA7OxsnTpzAwYMHsXbtWmzZskX32/NvvvkGa9aswcWLF1FdXY3m5mY0Njaivr6+zbwVRUVFUKvVejkdbt++fV95OQoKClBSUgIXFxdJeWNjIy5fvoxRo0YhJiYGYWFhCA0NxciRIzFx4kR4enoabK+hoQEA9BIUt8fdSYY7deoEV1dXo4mIW/pUWVkJLy8v1NbWIikpCQcOHEB5eTmam5vR0NBgdGbH2bNnMWPGDIPnLly4AIVCIUmi7O7uDn9/f8kWwE5OTujTp4+kX6Ys/zPE2PWZori4GCtWrEB+fj6qqqp0v5W/cuUKAgICAAA7duxoV98AQKlUIioqCkuWLGkzCe+XX34JZ2dnNDU1QaPRYMqUKbqlWS2ys7MlP4Otcy61V0hICGxsbFBXV4enn34ae/bsQffu3XHhwgWMHz9eUnfIkCF4//33oVardQmwTUl03R73anfPnj3YsGEDLl++jNraWjQ3N0uWeVy4cEGS0BPQJvO+e8exq1evYvny5Th69CgqKyuhVqtRX18v+flfs2aNyX328PDAggULsGLFCkyaNEly7l7/J2gtIiICy5Ytk5R1795dcjx58mTI5XI0NDTAw8MDW7dulYxby2wPSyQZZ7CDiIiIzPLGG2/gP//5D2pqavQepDpaVVUVXn75Zb0gDpElODg4IDQ0FKGhoUhISMD06dORmJiImJgYXbLgWbNmITk5GV26dEFOTg5ef/113Llzp81gR21tLeRyOU6fPi3ZiQiAZC28uWprazFw4EDs3r1b71xL8t5t27bplqHt2bMHy5cvR2ZmJn7/+9/rvcfd3R0ymcwiCYrNTUTcsrSmpc6CBQuQmZmJ9evXw8fHB46OjvjDH/5gdAlFywOUpftt7sOgobZaX5+NjY1eu63zOowbNw69evXC5s2b0bNnT2g0GgQEBFh0GcnKlSvh5+cn2a3lbi+88ALS0tJgZ2eHnj17GlzO4O3t/UCSeu7ZswdKpRLu7u7tat+Un8H2MNZuXl4eIiIisHLlSoSFhcHNzQ3p6elmb7UaHR2N69ev44MPPkCvXr1gb2+P4ODg+7r38+bNw1/+8he9JTMeHh544okncPHiRZPacXNzg4+Pj9E6qampGDlyJNzc3AwmEm9Z0maJJOPM2UFERERmUSgUWLZs2SMX6AC0u8UsWrTIaN4BIktRKpWoq6sD0P5kwQMGDIBarUZlZSV8fHwkL1O3KjXUblBQEIqLi9GtWze9dt3c3CSfHx8fj+PHjyMgIAAff/xxm5+hVCr1EhR3hNzcXMTExGDChAl45pln0KNHD4Ozvu4WGBgo2a73bn379kVzc7MkifL169fx448/QqlUmtwvQ/ehPTw8PHSJT1vcPYOtpW/Lly/HiBEj0Ldv3weyS9ZTTz2F2bNnY+nSpQavq1OnTvDx8YGXl9d95W1ob9/69OmjF+jo27ev3kyU3Nxc+Pn56QUT29KyG5Il7uXdjh8/jl69emHZsmV49tln4evrq5cQ2JRk3rm5uYiLi0N4eLguEWtVVdV99c3Z2RkJCQlITk6W5P6wsbHBa6+9ht27d+t9nwHQzU4xR48ePeDj49NmMOOHH37Ak08+ia5du5p3EQYw2EFEREREZMT169cxfPhw7Nq1C4WFhVCpVNi7dy/Wrl2rmzLf3mTBfn5+iIiIQFRUFD777DOoVCqcPHkSa9aswYEDB0zqX+/evVFYWIgff/wRVVVVaGpqQkREBLp27Yrx48cjOzsbKpUKR48eRVxcHP79739DpVIhPj4eeXl5KC0txeHDh1FcXIy+ffu2+TlhYWHIycnRK29oaMDZs2clL0vtDGKIr68vPvvsM5w9exYFBQWYMmXKPX8rn5iYiE8++QSJiYm4cOECioqKdMvofH19MX78eMyYMQM5OTkoKChAZGQkfvOb3+gtiTDG0H1oj+HDh+PUqVPYsWMHiouLkZiYKNkZpXPnznB3d8ff//53lJSU4MiRI5g3b55eO1FRUYiPj29XH1rEx8ejrKzMpN1uDKmsrERFRYXk1d5xMcX8+fORlZWF1atX49KlS9i+fTs2bdqkSyRrim7dusHR0RGHDh3C1atXJVur3g9fX19cuXIF6enpuHz5MjZs2KDb8r2FKcm8fX19sXPnTly4cAH5+fmIiIjQm7kUHx+vS2RuqpkzZ8LNzU0v4JmcnIynnnoKgwcPxo4dO3D+/HkUFxfjo48+woABA3Q7TgHapSet77e5gbjs7GyLJRhnsIOIiIiIyAhnZ2cMHjwYqampeP755xEQEICEhATMmDEDmzZtAgD069cPKSkpePfddxEQEIDdu3frrZsPCQlBbGwsJk2aBA8PD6xduxaAdjlJVFQU5s+fD39/f7z00kv417/+ZXL+hhkzZsDf3x/PPvssPDw8kJubCycnJxw7dgxeXl54+eWX0bdvX902lq6urnBycsLFixfxyiuvwM/PDzNnzsRbb72FN954o83Pef311/HVV1/pPfxdunQJAwYMkLyMtXO/UlJS0LlzZ4SEhGDcuHEICwtDUFCQ0fcMGzYMe/fuRUZGBvr374/hw4frdt0AtPdg4MCBGDt2LIKDgyGEwFdffWVWjglD96E9wsLCkJCQgEWLFuF3v/sdampqJA+uNjY2SE9Px+nTpxEQEIC5c+di3bp1eu1cuXJFb4aIubp06YLFixfrbX9qKn9/f3h6ekpep0+fvq8+GRMUFIRPP/0U6enpCAgIwIoVK7Bq1SqzdqVRKBTYsGED/va3v6Fnz55mBbyMefHFFzF37lzMnj0b/fv3x/Hjx5GQkCCpM2nSJN29HzhwIMRo5MkAAAvbSURBVEpLSzFr1ixJna1bt+LmzZsICgrC1KlTERcXh27duknqlJeXG81hY4itrS1Wr16td6+7dOmCEydOIDIyEn/6058wYMAAPPfcc/jkk0+wbt06yUyxzZs3691vc5aVNjY24vPPP28zv465ZKK9C82IiIiIiKxIY2MjVCoVvL29LZKI0xq9+uqrCAoKuu8ZA0SGtGyX254tc+nxl5aWhv379+Pw4cNt1jHne5ozO4iIiIiIyCTr1q27r8SpRERtsbW1xcaNGy3WHndjISIiIiIik/Tu3Rtz5szp6G4QkRWaPn26RdvjzA4iIiIiIiLqcDExMejfv39Hd4OsBGd2EBERERERUYdjrg6yJM7sICIiIiIiIiKrwmAHEREREREREVkVBjuIiIiIiIiIyKow2EFEREREREREVoXBDiIiIiIiIiKyKgx2EBEREREREZFVYbCDiIiIiIiIiKwKgx1ERERERGRV1BqBvMvX8X9nf0be5etQa0SH9eXGjRuYM2cO/P394ejoCC8vL8TFxeHWrVuSeleuXMGYMWPg5OSEbt26YeHChWhubu6gXj/eOOYEAIqO7gAREREREZGlHPqhHCu/OI/yW426Mk83BySOU2J0gOdD709ZWRnKysqwfv16KJVKlJaWIjY2FmVlZdi3bx8AQK1WY8yYMejRoweOHz+O8vJyREVFwdbWFu+8885D77M5UjMvQW4jQ9wIX71zG7KKodYIzA31e6h9svYxJ9PIhBAdF+YkIiIiInpENDY2QqVSwdvbGw4ODh3dHWqHQz+UY9au79H6AUf23z/TIoMeSMBj2LBhCAwMhIODA7Zs2QI7OzvExsYiKSnJYP29e/ciMjISdXV1UCgUOHjwIMaOHYuysjJ0794dAPDXv/4VixcvxrVr12BnZ2fxPlvKhqxipGRewrxQP0nAo61yS/k1j/mvmTnf01zGQkREREREjyQhBOrvNJv0qmlsQmLGOb1ABwBdWVLGedQ0NpnUnrm/E96+fTs6deqE/Px8rF27FqtWrUJmZqbBurdu3YKrqysUCu1E+7y8PDzzzDO6h24ACAsLQ3V1Nc6dO2dWPyzF2Ng0Nql19eJG+GLOcB+kZF7Ce4d/RP2dZrx3+EekZF7CnOE+mPn80ya12x7WNuZkWVzGQkREREREj6SGJjWUK762SFsCQEV1I55JOmxS/fOrwuBkZ/rjUmBgIBITEwEAvr6+2LRpE7KyshAaGiqpV1VVhdWrV2PmzJm6soqKCslDNwDdcUVFhcl9sCRj4/6Cvwe2/XGQ7nhLtgoAsPFICTYeKdGVbzxSgpOqG9jzRrCu7H/e/RY36u7otfnTn8eY3UdrG3OyLM7sICIiIiIiuk+BgYGSY09PT1RWVkrKqqurMWbMGCiVyjaXW5DpOOZkDGd2EBERERHRI8nRVo7zq8JMqntSdQMx2/51z3r/+OPvMMi7i0mfbQ5bW1vJsUwmg0aj0R3X1NRg9OjRcHFxwf79+yX1e/TogZMnT0ref/XqVd25jmBs3G1kMsnx6YSRSDt6GRuPlMBWLkOTWmDOcB/MGtZHr27O4hcs1kdrG3OyLM7sICIiIiKiR5JMJoOTncKk13O+HvB0c4Csrbag3ZXlOV8Pk9qTydpqyXzV1dUYNWoU7OzskJGRoZdYMTg4GEVFRZJZCZmZmXB1dYVSqbRYP8xhbGwcWgWCtmSrsPFICeaF+qE4ORzzQv2w8UgJtmSr9Oq21aalPY5jTpbFYAcRERERET325DYyJI7TPqS2DlO0HCeOU0JuY7kghilaHrrr6uqwdetWVFdXo6KiAhUVFVCrtYk+R40aBaVSialTp6KgoABff/01li9fjrfeegv29vYPtb/mMrTrStwIX8wL9UNK5iVsyCp+6H2y9jEn03AZCxERERERWYXRAZ5IiwzCyi/Oo/xWo668h5sDEscpH8i2s/fy/fffIz8/HwDg4+MjOadSqdC7d2/I5XJ8+eWXmDVrFoKDg9GpUydER0dj1apVD72/5lJrhMHtZVuO1RrzdrWxBGsfczKNTJi7pxIRERERkRVqbGyESqWCt7e33pR3eryoNQInVTdQWdOIbi4OGOTd5aHP6CAiyzPne5ozO4iIiIiIyKrIbWQI7uPe0d0gog7EnB1EREREREREZFUY7CAiIiIiIiIiq8JgBxERERERERFZFQY7iIiIiIiIiMiqMNhBRERERERERFaFwQ4iIiIiIiIisioMdhARERERERGRVWGwg4iIiIiIiIisCoMdRERERERERGRVGOwgIiIiIiLrolEDqmygaJ/2T426w7py48YNzJkzB/7+/nB0dISXlxfi4uJw69YtSb24uDgMHDgQ9vb26N+/f8d01kpwzAkAFB3dASIiIiIiIos5nwEcWgxUl/1S5toTGP0uoHzxoXenrKwMZWVlWL9+PZRKJUpLSxEbG4uysjLs27dPUnfatGnIz89HYWHhQ+9nu327BrCRA0MX6Z/7bq020PRC/EPtktWPOZmEwQ4iIiIiIrIO5zOAT6MACGl5dbm2fOKOBxLwGDZsGAIDA+Hg4IAtW7bAzs4OsbGxSEpKQkBAAP75z3/q6vbp0wfJycmIjIxEc3MzFArtI9mGDRsAANeuXXu8Hrxt5MC3ydq/3x3w+G6ttvyFZQ/kY3/VY04mYbCDiIiIiIgeTUIATfWm1dWogYOLoBfo0DYEQKad8fH0MO0D+r3YOgEymcld3b59O+bNm4f8/Hzk5eUhJiYGQ4YMQWhoqF7dW7duwdXVVffQ/Ui6U9f2OZkcsHXQ/n3oIkB9RxvYUN8B/mcukJMKHFsHPL8QCJljWrt2nczuotWNOVkU7zQRERERET2amuqBd3paqDGhXdry56dMq760zKwH8MDAQCQmJgIAfH19sWnTJmRlZek9eFdVVWH16tWYOXOmyW13CGPj7jsKiNj7y3Heh9o/j63TvlocWweU5gF/PPBL2fvPAPXX9dtMuqVfdg9WN+ZkUUxQSkREREREdJ8CAwMlx56enqisrJSUVVdXY8yYMVAqlUhKSnqIvbNOHHMyhjM7iIiIiIjo0WTrpJ1hYYrS48DuP9y7XsQ+oFeIaZ9tBltbW8mxTCaDRqPRHdfU1GD06NFwcXHB/v379eo/coyNu6zVMqCFJb8sXZHbaZezPL9Qu6RF1ur36/9bZLEuWt2Yk0Ux2EFERERERI8mmcz0pSR9hmt3Xakuh+G8HTLt+T7DTcvZYUHV1dUICwuDvb09MjIy4ODg8FA/v13MyaGR96E20PHCMm0Oj5bkpHI7/V1a2pGboz0eyzEni2Kwg4iIiIiIHn82cu32sp9GAZBBGvD4b6LR0X/ukEDHqFGjUF9fj127dqG6uhrV1dUAAA8PD8jl2v6UlJSgtrYWFRUVaGhowNmzZwEASqUSdnZ2D7XPZrl715WWwEbLn4Z2aXkIrH7MySQMdhARERERkXVQvqjdXvbQYm0y0hauPbWBjgew7ey9fP/998jPzwcA+Pj4SM6pVCr07t0bADB9+nR89913unMDBgzQq/NI0qilgY4WLcca9UPvktWPOZlEJoQwNMeLiIiIiOhXpbGxESqVCt7e3pzy/rjTqLU5PGqvAs7dtTk6HvKMDiKyPHO+pzmzg4iIiIiIrIuNHPB+rqN7QUQdiFvPEhEREREREZFVYbCDiIiIiIiIiKwKgx1EREREREREZFUY7CAiIiIiugvz9xMRPZrM+X5msIOIiIiICICtrS0AoL6+voN7QkREhty5cwcAIJffe3cl7sZCRERERATtf56feOIJVFZWAgCcnJwgk8k6uFdERAQAGo0G165dg5OTExSKe4cyGOwgIiIiIvqvHj16AIAu4EFERI8OGxsbeHl5mRSIlgkuSiQiIiIiklCr1WhqaurobhAR0V3s7OxgY2NaNg4GO4iIiIiIiIjIqjBBKRERERERERFZFQY7iIiIiIiIiMiqMNhBRERERERERFaFwQ4iIiIiIiIisioMdhARERERERGRVWGwg4iIiIiIiIisCoMdRERERERERGRV/h/uW7wyaiCw2wAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 1100x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.colors as mcolors\n",
    "import matplotlib.dates as mdates  # <-- ADICIONADO PARA O FORMATADOR\n",
    "import cartopy.crs as ccrs\n",
    "import cartopy.feature as cfeature\n",
    "\n",
    "\n",
    "#DF_final\n",
    "\n",
    "# ==========================================\n",
    "# PLOTAGEM DOS DOIS DATAFRAMES NO MESMO GRÁFICO\n",
    "# ==========================================\n",
    "\n",
    "# 1. Plota o df1 normalmente e guarda o eixo na variável 'ax'\n",
    "ax = DF_final1.plot(kind='line', marker='o', figsize=(11, 6))\n",
    "\n",
    "# 2. Plota o df2 usando as mesmas cores, mas com linhas pontilhadas (linestyle='--')\n",
    "# Passamos ax=ax para que ele desenhe no mesmo gráfico do df1\n",
    "# DF_final2.plot(kind='line', marker='x', linestyle='--', ax=ax)\n",
    "\n",
    "# Captura as cores automáticas que o matplotlib atribuiu às linhas do df1\n",
    "cores_df1 = [line.get_color() for line in ax.get_lines()]\n",
    "\n",
    "# 2. Plota o df2 usando as MESMAS cores coletadas, mas com linha pontilhada\n",
    "# Passamos a lista de cores no parâmetro 'color'\n",
    "DF_final2.plot(kind='line', marker='x', linestyle='--', color=cores_df1, ax=ax)\n",
    "\n",
    "# --- CONFIGURAÇÃO DOS TICKS NO FORMATO DDHH (Eixo X) ---\n",
    "# ax.xaxis.set_major_formatter(mdates.DateFormatter('%d%H'))  # Formata para ddhh\n",
    "# ax.xaxis.set_major_locator(mdates.HourLocator(byhour=[0, 6, 12, 18]))\n",
    "\n",
    "# Customizações do gráfico\n",
    "plt.title('Quantidade de observações por Satélite (INPE vs NCEP)', fontsize=14, fontweight='bold')\n",
    "plt.xlabel('Data (ddhh)')\n",
    "plt.ylabel('Quantidade de Obs lidas pelo GSI')\n",
    "plt.grid(True, linestyle=':', alpha=0.6)\n",
    "\n",
    "# Criando as legendas manualmente para diferenciar qual é df1 e df2\n",
    "# O matplotlib vai combinar as legendas automaticamente, mas podemos ajustar para ficar claro\n",
    "plt.legend(title='Satélites (Linha contínua: INPE | Pontilhada: NCEP)', bbox_to_anchor=(0.7, -0.05), loc='upper left', ncol=2)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "\n",
    "ax = None\n",
    "colunas = ['metop-b', 'metop-c']\n",
    "# 1. Plota o df1 normalmente e guarda o eixo na variável 'ax'\n",
    "ax = DF_final1[colunas].plot(kind='line', marker='o', figsize=(11, 6))\n",
    "\n",
    "# 2. Plota o df2 usando as mesmas cores, mas com linhas pontilhadas (linestyle='--')\n",
    "# Passamos ax=ax para que ele desenhe no mesmo gráfico do df1\n",
    "# DF_final2.plot(kind='line', marker='x', linestyle='--', ax=ax)\n",
    "\n",
    "# Captura as cores automáticas que o matplotlib atribuiu às linhas do df1\n",
    "cores_df1 = [line.get_color() for line in ax.get_lines()]\n",
    "\n",
    "# 2. Plota o df2 usando as MESMAS cores coletadas, mas com linha pontilhada\n",
    "# Passamos a lista de cores no parâmetro 'color'\n",
    "DF_final2[colunas].plot(kind='line', marker='x', linestyle='--', color=cores_df1, ax=ax)\n",
    "\n",
    "# --- CONFIGURAÇÃO DOS TICKS NO FORMATO DDHH (Eixo X) ---\n",
    "# ax.xaxis.set_major_formatter(mdates.DateFormatter('%d%H'))  # Formata para ddhh\n",
    "# ax.xaxis.set_major_locator(mdates.HourLocator(byhour=[0, 6, 12, 18]))\n",
    "\n",
    "# Customizações do gráfico\n",
    "plt.title('Quantidade de observações AMSU-A por Satélite (INPE vs NCEP)', fontsize=14, fontweight='bold')\n",
    "plt.xlabel('Data (ddhh)')\n",
    "plt.ylabel('Quantidade de Obs lidas pelo GSI')\n",
    "plt.grid(True, linestyle=':', alpha=0.6)\n",
    "\n",
    "# Criando as legendas manualmente para diferenciar qual é df1 e df2\n",
    "# O matplotlib vai combinar as legendas automaticamente, mas podemos ajustar para ficar claro\n",
    "plt.legend(title='Satélites (Linha contínua: INPE | Pontilhada: NCEP)', bbox_to_anchor=(0.7, -0.05), loc='upper left', ncol=2)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "\n",
    "ax = None\n",
    "# colunas = ['npp', 'n20', 'n21']\n",
    "colunas = ['n20', 'n21']\n",
    "# 1. Plota o df1 normalmente e guarda o eixo na variável 'ax'\n",
    "ax = DF_final1[colunas].plot(kind='line', marker='o', figsize=(11, 6))\n",
    "\n",
    "# 2. Plota o df2 usando as mesmas cores, mas com linhas pontilhadas (linestyle='--')\n",
    "# Passamos ax=ax para que ele desenhe no mesmo gráfico do df1\n",
    "# DF_final2.plot(kind='line', marker='x', linestyle='--', ax=ax)\n",
    "\n",
    "# Captura as cores automáticas que o matplotlib atribuiu às linhas do df1\n",
    "cores_df1 = [line.get_color() for line in ax.get_lines()]\n",
    "\n",
    "# 2. Plota o df2 usando as MESMAS cores coletadas, mas com linha pontilhada\n",
    "# Passamos a lista de cores no parâmetro 'color'\n",
    "DF_final2[colunas].plot(kind='line', marker='x', linestyle='--', color=cores_df1, ax=ax)\n",
    "\n",
    "# --- CONFIGURAÇÃO DOS TICKS NO FORMATO DDHH (Eixo X) ---\n",
    "# ax.xaxis.set_major_formatter(mdates.DateFormatter('%d%H'))  # Formata para ddhh\n",
    "# ax.xaxis.set_major_locator(mdates.HourLocator(byhour=[0, 6, 12, 18]))\n",
    "\n",
    "# Customizações do gráfico\n",
    "plt.title('Quantidade de observações ATMS por Satélite (INPE vs NCEP)', fontsize=14, fontweight='bold')\n",
    "plt.xlabel('Data (ddhh)')\n",
    "plt.ylabel('Quantidade de Obs lidas pelo GSI')\n",
    "plt.grid(True, linestyle=':', alpha=0.6)\n",
    "\n",
    "# Criando as legendas manualmente para diferenciar qual é df1 e df2\n",
    "# O matplotlib vai combinar as legendas automaticamente, mas podemos ajustar para ficar claro\n",
    "plt.legend(title='Satélites (Linha contínua: INPE | Pontilhada: NCEP)', bbox_to_anchor=(0.7, -0.05), loc='upper left', ncol=2)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "\n",
    "# colunas = ['metop-b', 'metop-c', 'npp', 'n20', 'n21']\n",
    "# colunas = ['metop-b', 'metop-c']\n",
    "colunas = ['npp', 'n20', 'n21']\n",
    "df1_total = DF_final1[colunas].sum(axis=1)\n",
    "df2_total = DF_final2[colunas].sum(axis=1)\n",
    "\n",
    "DF_final1['Total ATMS'] = DF_final1[colunas].sum(axis=1)\n",
    "DF_final2['Total ATMS'] = DF_final2[colunas].sum(axis=1)\n",
    "\n",
    "colunas = ['metop-b', 'metop-c']\n",
    "DF_final1['Total AMSU-A'] = DF_final1[colunas].sum(axis=1)\n",
    "DF_final2['Total AMSU-A'] = DF_final2[colunas].sum(axis=1)\n",
    "\n",
    "colunas = ['metop-b', 'metop-c', 'npp', 'n20', 'n21']\n",
    "DF_final1['Total'] = DF_final1[colunas].sum(axis=1)\n",
    "DF_final2['Total'] = DF_final2[colunas].sum(axis=1)\n",
    "\n",
    "plt.figure(figsize=(10, 5))\n",
    "\n",
    "# 2. Plota o total do df1 (linha cheia)\n",
    "df1_total.plot(kind='line', marker='o', color='blue', linewidth=2, label='Fluxo INPE')\n",
    "\n",
    "# 3. Plota o total do df2 (linha pontilhada)\n",
    "df2_total.plot(kind='line', marker='x', linestyle='--', color='red', linewidth=2, label='Fluxo NCEP')\n",
    "\n",
    "# Customizações do gráfico\n",
    "plt.title('Comparativo da Quantidade Total de Obs ATMS', fontsize=14, fontweight='bold')\n",
    "plt.xlabel('Data (ddhh)')\n",
    "plt.ylabel('Quantidade Total de Obs')\n",
    "plt.grid(True, linestyle=':', alpha=0.6)\n",
    "\n",
    "# Posiciona a legenda dentro ou fora do gráfico\n",
    "plt.legend(loc='upper right')\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "# Salva em TXT com formatação de largura fixa\n",
    "with open('relatorio_observacoes_INPE.txt', 'w') as f:\n",
    "    f.write(DF_final1.to_string(index=True))\n",
    "    \n",
    "with open('relatorio_observacoes_NCEP.txt', 'w') as f:\n",
    "    f.write(DF_final2.to_string(index=True))\n",
    "\n",
    "#DF_final\n",
    "#df1_total\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "5fefea3b",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e11f09d8-90b6-4a11-8ea1-fe1e38dfce19",
   "metadata": {},
   "source": [
    "A instrução **pandas.IndexSlice** pode ser utilizada para trabalhar com os multi-índices das tabelas. A seguir um exemplos, utilizando a instrução `.loc` com `pd.IndexSlice` do pandas."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "d666980e-3d9a-45ea-ab03-8a6bcc185be2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "data =  2024030100\n"
     ]
    },
    {
     "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>sat</th>\n",
       "      <th>type</th>\n",
       "      <th>penalty</th>\n",
       "      <th>nobs</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>n15</td>\n",
       "      <td>amsua</td>\n",
       "      <td>38637.231417</td>\n",
       "      <td>8583</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>n18</td>\n",
       "      <td>amsua</td>\n",
       "      <td>64181.464177</td>\n",
       "      <td>9076</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>n19</td>\n",
       "      <td>hirs4</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>9330</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>n19</td>\n",
       "      <td>amsua</td>\n",
       "      <td>62841.750122</td>\n",
       "      <td>9217</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>metop-b</td>\n",
       "      <td>amsua</td>\n",
       "      <td>66132.389811</td>\n",
       "      <td>9033</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>n15</td>\n",
       "      <td>amsua</td>\n",
       "      <td>15337.411502</td>\n",
       "      <td>8583</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>n18</td>\n",
       "      <td>amsua</td>\n",
       "      <td>32960.036424</td>\n",
       "      <td>9076</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>n19</td>\n",
       "      <td>hirs4</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>9330</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>n19</td>\n",
       "      <td>amsua</td>\n",
       "      <td>24207.073446</td>\n",
       "      <td>9217</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>metop-b</td>\n",
       "      <td>amsua</td>\n",
       "      <td>24652.611498</td>\n",
       "      <td>9033</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>n15</td>\n",
       "      <td>amsua</td>\n",
       "      <td>15133.217133</td>\n",
       "      <td>8583</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>n18</td>\n",
       "      <td>amsua</td>\n",
       "      <td>27806.912701</td>\n",
       "      <td>9076</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>n19</td>\n",
       "      <td>hirs4</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>9330</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>n19</td>\n",
       "      <td>amsua</td>\n",
       "      <td>22265.953160</td>\n",
       "      <td>9217</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>metop-b</td>\n",
       "      <td>amsua</td>\n",
       "      <td>23528.056263</td>\n",
       "      <td>9033</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        sat   type       penalty  nobs\n",
       "0       n15  amsua  38637.231417  8583\n",
       "1       n18  amsua  64181.464177  9076\n",
       "2       n19  hirs4      0.000000  9330\n",
       "3       n19  amsua  62841.750122  9217\n",
       "4   metop-b  amsua  66132.389811  9033\n",
       "5       n15  amsua  15337.411502  8583\n",
       "6       n18  amsua  32960.036424  9076\n",
       "7       n19  hirs4      0.000000  9330\n",
       "8       n19  amsua  24207.073446  9217\n",
       "9   metop-b  amsua  24652.611498  9033\n",
       "10      n15  amsua  15133.217133  8583\n",
       "11      n18  amsua  27806.912701  9076\n",
       "12      n19  hirs4      0.000000  9330\n",
       "13      n19  amsua  22265.953160  9217\n",
       "14  metop-b  amsua  23528.056263  9033"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "idx = pd.IndexSlice\n",
    "tidx = 0\n",
    "print('data = ',dates[tidx])\n",
    "tab = 0\n",
    "\n",
    "Self[tidx][tab].loc[idx[:], idx['sat':'nobs']]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8ee26f7d-aa37-4d7b-a7f7-5eef23d19727",
   "metadata": {},
   "source": [
    "Utilizando `mask` para trabalhar com os dados. Abaixo um exemplo para visualizar os dados da Tabela B (`tab=1`) do satélite `'n19'`, sensor `'amsua'` no estágio 3 (`it = 3`)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "a17dc943-dbff-4225-a322-26a537523601",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "data =  2024030100\n"
     ]
    },
    {
     "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>it</th>\n",
       "      <th>SN satinfo</th>\n",
       "      <th>nchan</th>\n",
       "      <th>type</th>\n",
       "      <th>sat</th>\n",
       "      <th>nobsused</th>\n",
       "      <th>nobstossed</th>\n",
       "      <th>varCH</th>\n",
       "      <th>biasBC</th>\n",
       "      <th>biasAC</th>\n",
       "      <th>penaltyCH</th>\n",
       "      <th>sqrt</th>\n",
       "      <th>STD</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>181</th>\n",
       "      <td>3</td>\n",
       "      <td>1310</td>\n",
       "      <td>1</td>\n",
       "      <td>amsua</td>\n",
       "      <td>n19</td>\n",
       "      <td>173</td>\n",
       "      <td>4</td>\n",
       "      <td>2.50</td>\n",
       "      <td>-1.291502</td>\n",
       "      <td>-0.243553</td>\n",
       "      <td>0.047356</td>\n",
       "      <td>1.578102</td>\n",
       "      <td>1.559194</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182</th>\n",
       "      <td>3</td>\n",
       "      <td>1311</td>\n",
       "      <td>2</td>\n",
       "      <td>amsua</td>\n",
       "      <td>n19</td>\n",
       "      <td>175</td>\n",
       "      <td>0</td>\n",
       "      <td>2.20</td>\n",
       "      <td>-1.347534</td>\n",
       "      <td>-0.232055</td>\n",
       "      <td>0.047241</td>\n",
       "      <td>1.590227</td>\n",
       "      <td>1.573205</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>183</th>\n",
       "      <td>3</td>\n",
       "      <td>1312</td>\n",
       "      <td>3</td>\n",
       "      <td>amsua</td>\n",
       "      <td>n19</td>\n",
       "      <td>175</td>\n",
       "      <td>0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>1.074523</td>\n",
       "      <td>-0.045223</td>\n",
       "      <td>0.042064</td>\n",
       "      <td>1.143530</td>\n",
       "      <td>1.142635</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>184</th>\n",
       "      <td>3</td>\n",
       "      <td>1313</td>\n",
       "      <td>4</td>\n",
       "      <td>amsua</td>\n",
       "      <td>n19</td>\n",
       "      <td>175</td>\n",
       "      <td>0</td>\n",
       "      <td>0.55</td>\n",
       "      <td>0.174951</td>\n",
       "      <td>-0.064341</td>\n",
       "      <td>0.023566</td>\n",
       "      <td>0.356583</td>\n",
       "      <td>0.350730</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>185</th>\n",
       "      <td>3</td>\n",
       "      <td>1314</td>\n",
       "      <td>5</td>\n",
       "      <td>amsua</td>\n",
       "      <td>n19</td>\n",
       "      <td>175</td>\n",
       "      <td>7</td>\n",
       "      <td>0.30</td>\n",
       "      <td>-0.688100</td>\n",
       "      <td>-0.057429</td>\n",
       "      <td>0.082893</td>\n",
       "      <td>0.277861</td>\n",
       "      <td>0.271862</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186</th>\n",
       "      <td>3</td>\n",
       "      <td>1315</td>\n",
       "      <td>6</td>\n",
       "      <td>amsua</td>\n",
       "      <td>n19</td>\n",
       "      <td>8474</td>\n",
       "      <td>8</td>\n",
       "      <td>0.23</td>\n",
       "      <td>-0.906306</td>\n",
       "      <td>-0.016063</td>\n",
       "      <td>0.467666</td>\n",
       "      <td>0.174504</td>\n",
       "      <td>0.173763</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>187</th>\n",
       "      <td>3</td>\n",
       "      <td>1316</td>\n",
       "      <td>7</td>\n",
       "      <td>amsua</td>\n",
       "      <td>n19</td>\n",
       "      <td>8756</td>\n",
       "      <td>461</td>\n",
       "      <td>-0.23</td>\n",
       "      <td>-1.081586</td>\n",
       "      <td>0.115483</td>\n",
       "      <td>1.649195</td>\n",
       "      <td>0.298300</td>\n",
       "      <td>0.275039</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>188</th>\n",
       "      <td>3</td>\n",
       "      <td>1317</td>\n",
       "      <td>8</td>\n",
       "      <td>amsua</td>\n",
       "      <td>n19</td>\n",
       "      <td>4392</td>\n",
       "      <td>4825</td>\n",
       "      <td>-0.25</td>\n",
       "      <td>0.154102</td>\n",
       "      <td>0.028087</td>\n",
       "      <td>2.546014</td>\n",
       "      <td>0.398975</td>\n",
       "      <td>0.397985</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>189</th>\n",
       "      <td>3</td>\n",
       "      <td>1318</td>\n",
       "      <td>9</td>\n",
       "      <td>amsua</td>\n",
       "      <td>n19</td>\n",
       "      <td>9216</td>\n",
       "      <td>1</td>\n",
       "      <td>0.25</td>\n",
       "      <td>-0.426717</td>\n",
       "      <td>-0.014139</td>\n",
       "      <td>0.427173</td>\n",
       "      <td>0.163397</td>\n",
       "      <td>0.162784</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>190</th>\n",
       "      <td>3</td>\n",
       "      <td>1319</td>\n",
       "      <td>10</td>\n",
       "      <td>amsua</td>\n",
       "      <td>n19</td>\n",
       "      <td>9216</td>\n",
       "      <td>1</td>\n",
       "      <td>0.35</td>\n",
       "      <td>-0.201580</td>\n",
       "      <td>-0.005228</td>\n",
       "      <td>0.371297</td>\n",
       "      <td>0.213271</td>\n",
       "      <td>0.213207</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191</th>\n",
       "      <td>3</td>\n",
       "      <td>1320</td>\n",
       "      <td>11</td>\n",
       "      <td>amsua</td>\n",
       "      <td>n19</td>\n",
       "      <td>9216</td>\n",
       "      <td>1</td>\n",
       "      <td>0.40</td>\n",
       "      <td>-0.188389</td>\n",
       "      <td>-0.001604</td>\n",
       "      <td>0.359950</td>\n",
       "      <td>0.239993</td>\n",
       "      <td>0.239988</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>3</td>\n",
       "      <td>1321</td>\n",
       "      <td>12</td>\n",
       "      <td>amsua</td>\n",
       "      <td>n19</td>\n",
       "      <td>9207</td>\n",
       "      <td>10</td>\n",
       "      <td>0.55</td>\n",
       "      <td>-0.078107</td>\n",
       "      <td>0.007496</td>\n",
       "      <td>0.399726</td>\n",
       "      <td>0.347799</td>\n",
       "      <td>0.347718</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>3</td>\n",
       "      <td>1322</td>\n",
       "      <td>13</td>\n",
       "      <td>amsua</td>\n",
       "      <td>n19</td>\n",
       "      <td>9204</td>\n",
       "      <td>13</td>\n",
       "      <td>0.80</td>\n",
       "      <td>0.164054</td>\n",
       "      <td>0.035962</td>\n",
       "      <td>0.373340</td>\n",
       "      <td>0.489258</td>\n",
       "      <td>0.487934</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>3</td>\n",
       "      <td>1323</td>\n",
       "      <td>14</td>\n",
       "      <td>amsua</td>\n",
       "      <td>n19</td>\n",
       "      <td>9207</td>\n",
       "      <td>10</td>\n",
       "      <td>4.00</td>\n",
       "      <td>-0.121716</td>\n",
       "      <td>-0.121716</td>\n",
       "      <td>0.050156</td>\n",
       "      <td>0.899785</td>\n",
       "      <td>0.891515</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>195</th>\n",
       "      <td>3</td>\n",
       "      <td>1324</td>\n",
       "      <td>15</td>\n",
       "      <td>amsua</td>\n",
       "      <td>n19</td>\n",
       "      <td>175</td>\n",
       "      <td>0</td>\n",
       "      <td>3.50</td>\n",
       "      <td>0.892989</td>\n",
       "      <td>-0.033651</td>\n",
       "      <td>0.035532</td>\n",
       "      <td>1.300533</td>\n",
       "      <td>1.300097</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     it  SN satinfo  nchan   type  sat  nobsused  nobstossed  varCH    biasBC  \\\n",
       "181   3        1310      1  amsua  n19       173           4   2.50 -1.291502   \n",
       "182   3        1311      2  amsua  n19       175           0   2.20 -1.347534   \n",
       "183   3        1312      3  amsua  n19       175           0   2.00  1.074523   \n",
       "184   3        1313      4  amsua  n19       175           0   0.55  0.174951   \n",
       "185   3        1314      5  amsua  n19       175           7   0.30 -0.688100   \n",
       "186   3        1315      6  amsua  n19      8474           8   0.23 -0.906306   \n",
       "187   3        1316      7  amsua  n19      8756         461  -0.23 -1.081586   \n",
       "188   3        1317      8  amsua  n19      4392        4825  -0.25  0.154102   \n",
       "189   3        1318      9  amsua  n19      9216           1   0.25 -0.426717   \n",
       "190   3        1319     10  amsua  n19      9216           1   0.35 -0.201580   \n",
       "191   3        1320     11  amsua  n19      9216           1   0.40 -0.188389   \n",
       "192   3        1321     12  amsua  n19      9207          10   0.55 -0.078107   \n",
       "193   3        1322     13  amsua  n19      9204          13   0.80  0.164054   \n",
       "194   3        1323     14  amsua  n19      9207          10   4.00 -0.121716   \n",
       "195   3        1324     15  amsua  n19       175           0   3.50  0.892989   \n",
       "\n",
       "       biasAC  penaltyCH      sqrt       STD  \n",
       "181 -0.243553   0.047356  1.578102  1.559194  \n",
       "182 -0.232055   0.047241  1.590227  1.573205  \n",
       "183 -0.045223   0.042064  1.143530  1.142635  \n",
       "184 -0.064341   0.023566  0.356583  0.350730  \n",
       "185 -0.057429   0.082893  0.277861  0.271862  \n",
       "186 -0.016063   0.467666  0.174504  0.173763  \n",
       "187  0.115483   1.649195  0.298300  0.275039  \n",
       "188  0.028087   2.546014  0.398975  0.397985  \n",
       "189 -0.014139   0.427173  0.163397  0.162784  \n",
       "190 -0.005228   0.371297  0.213271  0.213207  \n",
       "191 -0.001604   0.359950  0.239993  0.239988  \n",
       "192  0.007496   0.399726  0.347799  0.347718  \n",
       "193  0.035962   0.373340  0.489258  0.487934  \n",
       "194 -0.121716   0.050156  0.899785  0.891515  \n",
       "195 -0.033651   0.035532  1.300533  1.300097  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "idx = pd.IndexSlice\n",
    "tidx = 0\n",
    "print('data = ',dates[tidx])\n",
    "tab = 1\n",
    "\n",
    "mask = \"(sat == 'n19' & type == 'amsua') and it == 3\"\n",
    "Self[tidx][tab].query(mask)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "79ba67a4-a566-4b17-85e9-bfaeb625bc06",
   "metadata": {},
   "source": [
    "## Plote fort.207\n",
    "\n",
    "A seguir é apresentada uma função elaborada na classe **plot_diag** do readDiag para visualização e análise das informações presentes na Tabela B do arquivo **fort.207**."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "916a0be1-0751-4f05-b997-4ec6d62b6009",
   "metadata": {},
   "source": [
    "1. `time_series_fort207(self, Type=None, Sat=None, it=None, dateIni=None, dateFin=None, nHour=\"06\", mask=None, channel=None, Clean=None):` esta função fornece gráficos e diagramas (a depender dos valores da variável `channel`) das estatíticas disponíveis na Tabela B (`tab = 1`).  Caso o usuário faça `channel = None`, seis diagramas referentes as variáveis `nobsused` (nº de obs utilizadas), `nobstossed` (nº de obs descartadas), `biasBC` (obs - guess antes da correção de viés), `biasAC` (obs - guess após a correção de viés), `penaltCH` (penalidade do canal) e `STD` (desvio padrão) são gerados, sendo no eixo vertical a indicação dos canais e no eixo horizontal a indicação do tempo (date). O usuário também pode gerar os seis diagramas considerando uma lista de canais pré-definida na forma de um array (exemplo: `channel = [1, 2, 3, 5]`). Uma última opção é gerar dois gráficos, onde o 1º contém os valores de `biasBC`, `biasAC` e o desvio padrão `STD` e o segundo gráfico contém os valores de `nobsused` e `nobstossed`, ambos quando `channel` recebe um valor específico de canal (exemplo: `channel = 13`). Observe que previamente é necessário estabelecer o tipo de sensor (`Type`), o satélite (`Sat`) e o estágio `it`. Além disso, é necessário definir a máscara `mask` em concordância com o sensor e satélite estabelecidos.\n",
    "\n",
    "Abaixo segue um exemplo para `channel = None`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "ce022d2f-7ff2-4543-984a-0d5addf96bc4",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " =============================================================================================================\n",
      "[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] 0\n",
      "\n",
      "mask =  (type == 'amsua')\n",
      "\n",
      "Stage it:  3\n",
      "\n",
      "Table:  1\n",
      "\n",
      " Preparing data for: channels2025-10-01:12\n",
      " channels:  [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]\n",
      "\n",
      " Preparing data for: channels2025-10-01:18\n",
      " channels:  [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]\n",
      "\n",
      " Preparing data for: channels2025-10-02:00\n",
      " channels:  [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]\n",
      "\n",
      " Preparing data for: channels2025-10-02:06\n",
      " channels:  [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]\n",
      "\n",
      " Preparing data for: channels2025-10-02:12\n",
      " channels:  [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]\n",
      "\n",
      " Preparing data for: channels2025-10-02:18\n",
      " channels:  [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]\n",
      "\n",
      " Preparing data for: channels2025-10-03:00\n",
      " channels:  [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]\n",
      "\n",
      " Preparing data for: channels2025-10-03:06\n",
      " channels:  [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]\n",
      "\n",
      " Preparing data for: channels2025-10-03:12\n",
      " channels:  [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]\n",
      "\n",
      " Preparing data for: channels2025-10-03:18\n",
      " channels:  [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]\n",
      "\n",
      " Preparing data for: channels2025-10-04:00\n",
      " channels:  [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]\n",
      "\n",
      " Preparing data for: channels2025-10-04:06\n",
      " channels:  [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]\n",
      "\n",
      " Preparing data for: channels2025-10-04:12\n",
      " channels:  [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]\n",
      "\n",
      " Preparing data for: channels2025-10-04:18\n",
      " channels:  [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]\n",
      "\n",
      " Preparing data for: channels2025-10-05:00\n",
      " channels:  [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]\n",
      "\n",
      " Preparing data for: channels2025-10-05:06\n",
      " channels:  [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]\n",
      "\n",
      " Preparing data for: channels2025-10-05:12\n",
      " channels:  [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]\n",
      "\n",
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      " channels:  [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]\n",
      "\n",
      " Preparing data for: channels2025-10-06:00\n",
      " channels:  [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]\n",
      "\n",
      " Preparing data for: channels2025-10-06:06\n",
      " channels:  [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]\n",
      "\n",
      " Preparing data for: channels2025-10-06:12\n",
      " channels:  [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]\n",
      "\n",
      " Preparing data for: channels2025-10-06:18\n",
      " channels:  [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]\n",
      "\n",
      " Preparing data for: channels2025-10-07:00\n",
      " channels:  [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]\n",
      "\n",
      " Preparing data for: channels2025-10-07:06\n",
      " channels:  [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]\n",
      "\n",
      " Preparing data for: channels2025-10-07:12\n",
      " channels:  [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]\n",
      "\n",
      " Preparing data for: channels2025-10-07:18\n",
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      "\n",
      " Preparing data for: channels2025-10-08:00\n",
      " channels:  [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]\n",
      "\n",
      " Preparing data for: channels2025-10-08:06\n",
      " channels:  [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]\n",
      "\n",
      " Preparing data for: channels2025-10-08:12\n",
      " channels:  [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]\n",
      "\n",
      " Preparing data for: channels2025-10-08:18\n",
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      "\n",
      " Preparing data for: channels2025-10-09:00\n",
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      " Preparing data for: channels2025-10-09:06\n",
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      " channels:  [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]\n",
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      " channels:  [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]\n",
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      "\n",
      " Preparing data for: channels2025-10-12:00\n",
      " channels:  [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]\n",
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      " channels:  [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]\n",
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      "\n",
      " Preparing data for: channels2025-10-13:00\n",
      " channels:  [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]\n",
      "\n",
      " Preparing data for: channels2025-10-13:06\n",
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      " Preparing data for: channels2025-10-15:06\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      " channels:  [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]\n",
      "\n",
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      " channels:  [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      " channels:  [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]\n",
      "\n",
      " Preparing data for: channels2025-11-23:06\n",
      " channels:  [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]\n",
      "\n",
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      " channels:  [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]\n",
      "\n",
      " Preparing data for: channels2025-11-23:18\n",
      " channels:  [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]\n",
      "\n",
      " Preparing data for: channels2025-11-24:00\n",
      " channels:  [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]\n",
      "\n",
      " Preparing data for: channels2025-11-24:06\n",
      " channels:  [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]\n",
      "\n",
      " Preparing data for: channels2025-11-24:12\n",
      " channels:  [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]\n",
      "\n",
      " Preparing data for: channels2025-11-24:18\n",
      " channels:  [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]\n",
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      " Preparing data for: channels2025-11-25:00\n",
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      "\n",
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      "\n",
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      " channels:  [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]\n",
      "\n",
      " Preparing data for: channels2025-11-26:06\n",
      " channels:  [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]\n",
      "\n",
      " Preparing data for: channels2025-11-26:12\n",
      " channels:  [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]\n",
      "\n",
      " Preparing data for: channels2025-11-26:18\n",
      " channels:  [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]\n",
      "\n",
      " Preparing data for: channels2025-11-27:00\n",
      " channels:  [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]\n",
      "\n",
      " Preparing data for: channels2025-11-27:06\n",
      " channels:  [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]\n",
      "\n",
      " Preparing data for: channels2025-11-27:12\n",
      " channels:  [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]\n",
      "\n",
      " Preparing data for: channels2025-11-27:18\n",
      " channels:  [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]\n",
      "\n",
      " Preparing data for: channels2025-11-28:00\n",
      " channels:  [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]\n",
      "\n",
      " Preparing data for: channels2025-11-28:06\n",
      " channels:  [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]\n",
      "\n",
      " Preparing data for: channels2025-11-28:12\n",
      " channels:  [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]\n",
      "\n",
      " Preparing data for: channels2025-11-28:18\n",
      " channels:  [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]\n",
      "\n",
      " Preparing data for: channels2025-11-29:00\n",
      " channels:  [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]\n",
      "\n",
      " Preparing data for: channels2025-11-29:06\n",
      " channels:  [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]\n",
      "\n",
      " Preparing data for: channels2025-11-29:12\n",
      " channels:  [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]\n",
      "\n",
      " Preparing data for: channels2025-11-29:18\n",
      " channels:  [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]\n",
      "\n",
      " Preparing data for: channels2025-11-30:00\n",
      " channels:  [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]\n",
      "\n",
      " Preparing data for: channels2025-11-30:06\n",
      " channels:  [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]\n",
      "\n",
      " Preparing data for: channels2025-11-30:12\n",
      " channels:  [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]\n",
      "\n",
      " Preparing data for: channels2025-11-30:18\n",
      " channels:  [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]\n",
      "\n",
      "\n",
      " =============================================================================================================\n",
      "\n",
      "channels =  [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]\n",
      " Calculating for 2025-10-01:12\n",
      " Calculating for 2025-10-01:18\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " Calculating for 2025-10-02:00\n",
      " Calculating for 2025-10-02:06\n",
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      " Calculating for 2025-11-30:00\n",
      " Calculating for 2025-11-30:06\n",
      " Calculating for 2025-11-30:12\n",
      " Calculating for 2025-11-30:18\n",
      "\n",
      " =============================================================================================================\n",
      "\n",
      " Making Graphics...\n",
      " Done!\n",
      "\n"
     ]
    },
    {
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       "  '',\n",
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       "  '',\n",
       "  '',\n",
       "  '3012',\n",
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       " [[102,\n",
       "   8865,\n",
       "   8848,\n",
       "   8814,\n",
       "   8881,\n",
       "   8882,\n",
       "   8877,\n",
       "   8875,\n",
       "   8874,\n",
       "   8514,\n",
       "   102,\n",
       "   102,\n",
       "   100,\n",
       "   102,\n",
       "   100],\n",
       "  [142,\n",
       "   8871,\n",
       "   8873,\n",
       "   8870,\n",
       "   8918,\n",
       "   8919,\n",
       "   8918,\n",
       "   8912,\n",
       "   8902,\n",
       "   8764,\n",
       "   142,\n",
       "   142,\n",
       "   140,\n",
       "   142,\n",
       "   136],\n",
       "  [172,\n",
       "   9022,\n",
       "   9005,\n",
       "   8984,\n",
       "   9048,\n",
       "   9047,\n",
       "   9045,\n",
       "   9042,\n",
       "   9044,\n",
       "   8599,\n",
       "   172,\n",
       "   172,\n",
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       "   172,\n",
       "   169],\n",
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       "   9037,\n",
       "   9058,\n",
       "   9034,\n",
       "   9073,\n",
       "   9075,\n",
       "   9075,\n",
       "   9072,\n",
       "   9062,\n",
       "   8750,\n",
       "   145,\n",
       "   145,\n",
       "   142,\n",
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       "   143],\n",
       "  [143,\n",
       "   9050,\n",
       "   9025,\n",
       "   9014,\n",
       "   9059,\n",
       "   9059,\n",
       "   9053,\n",
       "   9059,\n",
       "   9055,\n",
       "   8710,\n",
       "   143,\n",
       "   143,\n",
       "   141,\n",
       "   143,\n",
       "   139],\n",
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       "   8990,\n",
       "   8977,\n",
       "   9011,\n",
       "   9013,\n",
       "   9011,\n",
       "   9007,\n",
       "   8989,\n",
       "   8675,\n",
       "   155,\n",
       "   155,\n",
       "   154,\n",
       "   155,\n",
       "   153],\n",
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       "   9000,\n",
       "   8989,\n",
       "   9022,\n",
       "   9019,\n",
       "   9015,\n",
       "   9018,\n",
       "   9016,\n",
       "   8556,\n",
       "   150,\n",
       "   150,\n",
       "   147,\n",
       "   149,\n",
       "   146],\n",
       "  [125,\n",
       "   7945,\n",
       "   7944,\n",
       "   7942,\n",
       "   7986,\n",
       "   7986,\n",
       "   7986,\n",
       "   7980,\n",
       "   7977,\n",
       "   8689,\n",
       "   125,\n",
       "   125,\n",
       "   121,\n",
       "   125,\n",
       "   124],\n",
       "  [146,\n",
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       "   8989,\n",
       "   8986,\n",
       "   9022,\n",
       "   9024,\n",
       "   9023,\n",
       "   9021,\n",
       "   8990,\n",
       "   8585,\n",
       "   146,\n",
       "   146,\n",
       "   143,\n",
       "   146,\n",
       "   140],\n",
       "  [137,\n",
       "   8797,\n",
       "   8825,\n",
       "   8806,\n",
       "   8846,\n",
       "   8847,\n",
       "   8843,\n",
       "   8841,\n",
       "   8835,\n",
       "   8486,\n",
       "   137,\n",
       "   137,\n",
       "   136,\n",
       "   137,\n",
       "   131],\n",
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       "   8896,\n",
       "   8899,\n",
       "   8880,\n",
       "   8923,\n",
       "   8921,\n",
       "   8923,\n",
       "   8918,\n",
       "   8915,\n",
       "   8558,\n",
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       "   89,\n",
       "   87,\n",
       "   89,\n",
       "   87],\n",
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       "   8976,\n",
       "   8942,\n",
       "   9008,\n",
       "   9008,\n",
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       "   9003,\n",
       "   8996,\n",
       "   8712,\n",
       "   138,\n",
       "   138,\n",
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       "   9020,\n",
       "   9039,\n",
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       "   9052,\n",
       "   9046,\n",
       "   9047,\n",
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       "   109,\n",
       "   105,\n",
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       "   8967,\n",
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       "   8994,\n",
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       "   8994,\n",
       "   8991,\n",
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       "   8690,\n",
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       "   163,\n",
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       "   8994,\n",
       "   9038,\n",
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       "   9032,\n",
       "   9028,\n",
       "   9033,\n",
       "   8650,\n",
       "   101,\n",
       "   101,\n",
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       "   101,\n",
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       "   9043,\n",
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       "   9057,\n",
       "   9057,\n",
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       "   161,\n",
       "   161,\n",
       "   156,\n",
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       "   154],\n",
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       "   9041,\n",
       "   9035,\n",
       "   9069,\n",
       "   9069,\n",
       "   9061,\n",
       "   9062,\n",
       "   9056,\n",
       "   8563,\n",
       "   105,\n",
       "   105,\n",
       "   105,\n",
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       "   100],\n",
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       "   8950,\n",
       "   8965,\n",
       "   8935,\n",
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       "   8992,\n",
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       "   8990,\n",
       "   8980,\n",
       "   8730,\n",
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       "   155,\n",
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       "   8936,\n",
       "   8934,\n",
       "   8909,\n",
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       "   8965,\n",
       "   8958,\n",
       "   8960,\n",
       "   8960,\n",
       "   8485,\n",
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       "   114,\n",
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       "   8862,\n",
       "   8860,\n",
       "   8837,\n",
       "   8897,\n",
       "   8897,\n",
       "   8896,\n",
       "   8890,\n",
       "   8886,\n",
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       "   133,\n",
       "   133,\n",
       "   131,\n",
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       "   128],\n",
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       "   8908,\n",
       "   8920,\n",
       "   8903,\n",
       "   8943,\n",
       "   8943,\n",
       "   8942,\n",
       "   8934,\n",
       "   8933,\n",
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       "   8971,\n",
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       "   8989,\n",
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       "   7815,\n",
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       "   7847,\n",
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       "   9045,\n",
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       "   8726,\n",
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       "   9032,\n",
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       "   8931,\n",
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       "   8919,\n",
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       "   8599,\n",
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       "   8810,\n",
       "   8791,\n",
       "   8821,\n",
       "   8821,\n",
       "   8818,\n",
       "   8814,\n",
       "   8812,\n",
       "   8524,\n",
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       "   164,\n",
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       "   8914,\n",
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       "   8947,\n",
       "   8942,\n",
       "   8940,\n",
       "   8938,\n",
       "   8633,\n",
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       "   92,\n",
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       "   9039,\n",
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       "   9012,\n",
       "   9067,\n",
       "   9067,\n",
       "   9066,\n",
       "   9061,\n",
       "   9062,\n",
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       "   144,\n",
       "   144,\n",
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       "   9034,\n",
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       "   9043,\n",
       "   9047,\n",
       "   9035,\n",
       "   8718,\n",
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       "   118,\n",
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       "   8728,\n",
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       "   169,\n",
       "   163,\n",
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       "   157],\n",
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       "   8987,\n",
       "   8986,\n",
       "   9020,\n",
       "   9024,\n",
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       "   9017,\n",
       "   6778,\n",
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       "   68,\n",
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       "   9049,\n",
       "   9049,\n",
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       "   9042,\n",
       "   8660,\n",
       "   134,\n",
       "   134,\n",
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       "   9031,\n",
       "   9028,\n",
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       "   9048,\n",
       "   9045,\n",
       "   8624,\n",
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       "   8927,\n",
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       "   8949,\n",
       "   8947,\n",
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       "   8638,\n",
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       "   144,\n",
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       "   8842,\n",
       "   8828,\n",
       "   8872,\n",
       "   8874,\n",
       "   8873,\n",
       "   8866,\n",
       "   8869,\n",
       "   8468,\n",
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       "   123,\n",
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       "   8863,\n",
       "   8877,\n",
       "   8880,\n",
       "   8910,\n",
       "   8910,\n",
       "   8908,\n",
       "   8905,\n",
       "   8901,\n",
       "   8609,\n",
       "   140,\n",
       "   140,\n",
       "   138,\n",
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       "   131],\n",
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       "   8975,\n",
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       "   8997,\n",
       "   8660,\n",
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       "   121,\n",
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       "   9021,\n",
       "   9068,\n",
       "   9070,\n",
       "   9070,\n",
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       "   93,\n",
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       "   9033,\n",
       "   9034,\n",
       "   9034,\n",
       "   9030,\n",
       "   9031,\n",
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       "   121,\n",
       "   120,\n",
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       "   9071,\n",
       "   9071,\n",
       "   9067,\n",
       "   9061,\n",
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       "   91,\n",
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       "   9029,\n",
       "   9026,\n",
       "   9022,\n",
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       "   9049,\n",
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       "   139,\n",
       "   136,\n",
       "   139,\n",
       "   133],\n",
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       "   8950,\n",
       "   8958,\n",
       "   8940,\n",
       "   8985,\n",
       "   8985,\n",
       "   8984,\n",
       "   8978,\n",
       "   8964,\n",
       "   8740,\n",
       "   171,\n",
       "   171,\n",
       "   167,\n",
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       "   163],\n",
       "  [104,\n",
       "   8987,\n",
       "   8981,\n",
       "   8979,\n",
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       "   9005,\n",
       "   8632,\n",
       "   104,\n",
       "   104,\n",
       "   103,\n",
       "   104,\n",
       "   104],\n",
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       "   8986,\n",
       "   8994,\n",
       "   9020,\n",
       "   9021,\n",
       "   9020,\n",
       "   9020,\n",
       "   9015,\n",
       "   8573,\n",
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       "   115,\n",
       "   113,\n",
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       "   110],\n",
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       "   8860,\n",
       "   8832,\n",
       "   8896,\n",
       "   8896,\n",
       "   8894,\n",
       "   8893,\n",
       "   8885,\n",
       "   8617,\n",
       "   147,\n",
       "   147,\n",
       "   146,\n",
       "   147,\n",
       "   139],\n",
       "  [172,\n",
       "   8878,\n",
       "   8834,\n",
       "   8832,\n",
       "   8894,\n",
       "   8892,\n",
       "   8892,\n",
       "   8891,\n",
       "   8890,\n",
       "   8653,\n",
       "   172,\n",
       "   172,\n",
       "   170,\n",
       "   172,\n",
       "   166],\n",
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       "   8948,\n",
       "   8955,\n",
       "   8955,\n",
       "   8987,\n",
       "   8991,\n",
       "   8991,\n",
       "   8991,\n",
       "   8984,\n",
       "   8713,\n",
       "   93,\n",
       "   93,\n",
       "   92,\n",
       "   93,\n",
       "   91],\n",
       "  [132,\n",
       "   9023,\n",
       "   9013,\n",
       "   9005,\n",
       "   9050,\n",
       "   9052,\n",
       "   9051,\n",
       "   9049,\n",
       "   9047,\n",
       "   8696,\n",
       "   132,\n",
       "   132,\n",
       "   126,\n",
       "   132,\n",
       "   126],\n",
       "  [94,\n",
       "   9021,\n",
       "   9020,\n",
       "   9011,\n",
       "   9053,\n",
       "   9053,\n",
       "   9052,\n",
       "   9053,\n",
       "   9048,\n",
       "   8801,\n",
       "   94,\n",
       "   94,\n",
       "   94,\n",
       "   94,\n",
       "   90],\n",
       "  [185,\n",
       "   8950,\n",
       "   8974,\n",
       "   8961,\n",
       "   9012,\n",
       "   9012,\n",
       "   9012,\n",
       "   9009,\n",
       "   9005,\n",
       "   8719,\n",
       "   185,\n",
       "   185,\n",
       "   182,\n",
       "   185,\n",
       "   177],\n",
       "  [119,\n",
       "   8995,\n",
       "   8975,\n",
       "   8960,\n",
       "   9020,\n",
       "   9022,\n",
       "   9022,\n",
       "   9019,\n",
       "   9015,\n",
       "   8693,\n",
       "   119,\n",
       "   119,\n",
       "   116,\n",
       "   119,\n",
       "   116],\n",
       "  [132,\n",
       "   9033,\n",
       "   9010,\n",
       "   9005,\n",
       "   9056,\n",
       "   9056,\n",
       "   9056,\n",
       "   9051,\n",
       "   9048,\n",
       "   8707,\n",
       "   132,\n",
       "   132,\n",
       "   130,\n",
       "   132,\n",
       "   131],\n",
       "  [92,\n",
       "   9001,\n",
       "   9011,\n",
       "   9001,\n",
       "   9040,\n",
       "   9040,\n",
       "   9039,\n",
       "   9038,\n",
       "   9034,\n",
       "   8675,\n",
       "   92,\n",
       "   92,\n",
       "   90,\n",
       "   92,\n",
       "   88],\n",
       "  [126,\n",
       "   8899,\n",
       "   8899,\n",
       "   8862,\n",
       "   8911,\n",
       "   8914,\n",
       "   8911,\n",
       "   8912,\n",
       "   8905,\n",
       "   8568,\n",
       "   126,\n",
       "   126,\n",
       "   123,\n",
       "   126,\n",
       "   123],\n",
       "  [129,\n",
       "   8807,\n",
       "   8820,\n",
       "   8817,\n",
       "   8853,\n",
       "   8854,\n",
       "   8854,\n",
       "   8852,\n",
       "   8848,\n",
       "   8553,\n",
       "   129,\n",
       "   129,\n",
       "   125,\n",
       "   129,\n",
       "   127],\n",
       "  [136,\n",
       "   8927,\n",
       "   8919,\n",
       "   8921,\n",
       "   8964,\n",
       "   8966,\n",
       "   8965,\n",
       "   8962,\n",
       "   8958,\n",
       "   8658,\n",
       "   136,\n",
       "   136,\n",
       "   135,\n",
       "   136,\n",
       "   134],\n",
       "  [142,\n",
       "   9038,\n",
       "   9037,\n",
       "   9008,\n",
       "   9062,\n",
       "   9061,\n",
       "   9060,\n",
       "   9058,\n",
       "   9059,\n",
       "   8707,\n",
       "   142,\n",
       "   142,\n",
       "   137,\n",
       "   142,\n",
       "   139],\n",
       "  [115,\n",
       "   8990,\n",
       "   8966,\n",
       "   8961,\n",
       "   9016,\n",
       "   9018,\n",
       "   9017,\n",
       "   9014,\n",
       "   9007,\n",
       "   8644,\n",
       "   115,\n",
       "   115,\n",
       "   114,\n",
       "   115,\n",
       "   109],\n",
       "  [127,\n",
       "   8981,\n",
       "   8970,\n",
       "   8973,\n",
       "   9014,\n",
       "   9014,\n",
       "   9014,\n",
       "   9010,\n",
       "   9012,\n",
       "   8647,\n",
       "   127,\n",
       "   127,\n",
       "   125,\n",
       "   127,\n",
       "   123],\n",
       "  [119,\n",
       "   8996,\n",
       "   9012,\n",
       "   8979,\n",
       "   9031,\n",
       "   9032,\n",
       "   9031,\n",
       "   9032,\n",
       "   9026,\n",
       "   8780,\n",
       "   119,\n",
       "   119,\n",
       "   116,\n",
       "   119,\n",
       "   114],\n",
       "  [136,\n",
       "   9048,\n",
       "   9044,\n",
       "   9034,\n",
       "   9067,\n",
       "   9066,\n",
       "   9066,\n",
       "   9064,\n",
       "   9058,\n",
       "   8769,\n",
       "   136,\n",
       "   136,\n",
       "   134,\n",
       "   136,\n",
       "   125],\n",
       "  [149,\n",
       "   8994,\n",
       "   8984,\n",
       "   8964,\n",
       "   9012,\n",
       "   9012,\n",
       "   9010,\n",
       "   9010,\n",
       "   8998,\n",
       "   8759,\n",
       "   149,\n",
       "   149,\n",
       "   146,\n",
       "   149,\n",
       "   145],\n",
       "  [81,\n",
       "   8977,\n",
       "   8972,\n",
       "   8937,\n",
       "   8986,\n",
       "   8988,\n",
       "   8988,\n",
       "   8985,\n",
       "   8980,\n",
       "   8602,\n",
       "   81,\n",
       "   81,\n",
       "   78,\n",
       "   81,\n",
       "   81],\n",
       "  [92,\n",
       "   8912,\n",
       "   8886,\n",
       "   8909,\n",
       "   8933,\n",
       "   8937,\n",
       "   8937,\n",
       "   8934,\n",
       "   8926,\n",
       "   8561,\n",
       "   92,\n",
       "   92,\n",
       "   89,\n",
       "   92,\n",
       "   89],\n",
       "  [119,\n",
       "   8895,\n",
       "   8859,\n",
       "   8863,\n",
       "   8900,\n",
       "   8900,\n",
       "   8898,\n",
       "   8895,\n",
       "   8890,\n",
       "   8624,\n",
       "   119,\n",
       "   119,\n",
       "   119,\n",
       "   119,\n",
       "   113],\n",
       "  [167,\n",
       "   8907,\n",
       "   8930,\n",
       "   8906,\n",
       "   8937,\n",
       "   8937,\n",
       "   8936,\n",
       "   8931,\n",
       "   8928,\n",
       "   8733,\n",
       "   167,\n",
       "   167,\n",
       "   163,\n",
       "   167,\n",
       "   164],\n",
       "  [88,\n",
       "   8974,\n",
       "   8983,\n",
       "   8950,\n",
       "   9011,\n",
       "   9010,\n",
       "   9010,\n",
       "   9003,\n",
       "   9003,\n",
       "   8717,\n",
       "   88,\n",
       "   88,\n",
       "   87,\n",
       "   88,\n",
       "   87],\n",
       "  [114,\n",
       "   9047,\n",
       "   9016,\n",
       "   9015,\n",
       "   9064,\n",
       "   9064,\n",
       "   9063,\n",
       "   9059,\n",
       "   9052,\n",
       "   8745,\n",
       "   114,\n",
       "   114,\n",
       "   110,\n",
       "   114,\n",
       "   106],\n",
       "  [75,\n",
       "   9063,\n",
       "   9044,\n",
       "   9025,\n",
       "   9070,\n",
       "   9065,\n",
       "   9069,\n",
       "   9066,\n",
       "   9065,\n",
       "   6958,\n",
       "   75,\n",
       "   75,\n",
       "   75,\n",
       "   75,\n",
       "   74],\n",
       "  [151,\n",
       "   9034,\n",
       "   9042,\n",
       "   9011,\n",
       "   9065,\n",
       "   9065,\n",
       "   9064,\n",
       "   9063,\n",
       "   9059,\n",
       "   8710,\n",
       "   151,\n",
       "   151,\n",
       "   151,\n",
       "   151,\n",
       "   145],\n",
       "  [96,\n",
       "   8985,\n",
       "   8981,\n",
       "   8952,\n",
       "   9017,\n",
       "   9018,\n",
       "   9018,\n",
       "   9017,\n",
       "   9011,\n",
       "   8629,\n",
       "   96,\n",
       "   96,\n",
       "   95,\n",
       "   96,\n",
       "   94],\n",
       "  [136,\n",
       "   9035,\n",
       "   9008,\n",
       "   9005,\n",
       "   9060,\n",
       "   9059,\n",
       "   9059,\n",
       "   9054,\n",
       "   9050,\n",
       "   8726,\n",
       "   136,\n",
       "   136,\n",
       "   133,\n",
       "   136,\n",
       "   130],\n",
       "  [105,\n",
       "   8990,\n",
       "   9016,\n",
       "   8990,\n",
       "   9031,\n",
       "   9032,\n",
       "   9029,\n",
       "   9026,\n",
       "   9026,\n",
       "   8496,\n",
       "   105,\n",
       "   105,\n",
       "   104,\n",
       "   105,\n",
       "   102],\n",
       "  [120,\n",
       "   8824,\n",
       "   8841,\n",
       "   8824,\n",
       "   8876,\n",
       "   8876,\n",
       "   8876,\n",
       "   8870,\n",
       "   8863,\n",
       "   8561,\n",
       "   120,\n",
       "   120,\n",
       "   117,\n",
       "   120,\n",
       "   112],\n",
       "  [109,\n",
       "   8856,\n",
       "   8869,\n",
       "   8852,\n",
       "   8894,\n",
       "   8894,\n",
       "   8894,\n",
       "   8887,\n",
       "   8886,\n",
       "   8566,\n",
       "   109,\n",
       "   109,\n",
       "   109,\n",
       "   109,\n",
       "   105],\n",
       "  [130,\n",
       "   9021,\n",
       "   9014,\n",
       "   9000,\n",
       "   9048,\n",
       "   9048,\n",
       "   9047,\n",
       "   9046,\n",
       "   9041,\n",
       "   8775,\n",
       "   130,\n",
       "   130,\n",
       "   127,\n",
       "   130,\n",
       "   123],\n",
       "  [108,\n",
       "   9039,\n",
       "   9048,\n",
       "   8995,\n",
       "   9074,\n",
       "   9074,\n",
       "   9075,\n",
       "   9066,\n",
       "   9067,\n",
       "   8682,\n",
       "   108,\n",
       "   108,\n",
       "   108,\n",
       "   108,\n",
       "   100],\n",
       "  [135,\n",
       "   9018,\n",
       "   9027,\n",
       "   8999,\n",
       "   9047,\n",
       "   9047,\n",
       "   9046,\n",
       "   9045,\n",
       "   9028,\n",
       "   8757,\n",
       "   135,\n",
       "   135,\n",
       "   134,\n",
       "   135,\n",
       "   131],\n",
       "  [118,\n",
       "   9004,\n",
       "   9008,\n",
       "   8990,\n",
       "   9021,\n",
       "   9022,\n",
       "   9020,\n",
       "   9016,\n",
       "   9018,\n",
       "   8621,\n",
       "   118,\n",
       "   118,\n",
       "   118,\n",
       "   118,\n",
       "   117],\n",
       "  [92,\n",
       "   9021,\n",
       "   9028,\n",
       "   9029,\n",
       "   9059,\n",
       "   9060,\n",
       "   9060,\n",
       "   9057,\n",
       "   9050,\n",
       "   8800,\n",
       "   92,\n",
       "   92,\n",
       "   92,\n",
       "   92,\n",
       "   90],\n",
       "  [109,\n",
       "   8327,\n",
       "   8315,\n",
       "   8316,\n",
       "   8344,\n",
       "   8343,\n",
       "   8348,\n",
       "   8342,\n",
       "   8345,\n",
       "   8437,\n",
       "   109,\n",
       "   109,\n",
       "   107,\n",
       "   109,\n",
       "   109],\n",
       "  [156,\n",
       "   8757,\n",
       "   8746,\n",
       "   8720,\n",
       "   8761,\n",
       "   8761,\n",
       "   8760,\n",
       "   8760,\n",
       "   8748,\n",
       "   8700,\n",
       "   156,\n",
       "   156,\n",
       "   155,\n",
       "   156,\n",
       "   150],\n",
       "  [85,\n",
       "   8932,\n",
       "   8956,\n",
       "   8926,\n",
       "   8981,\n",
       "   8984,\n",
       "   8985,\n",
       "   8983,\n",
       "   8979,\n",
       "   8531,\n",
       "   85,\n",
       "   85,\n",
       "   82,\n",
       "   85,\n",
       "   81],\n",
       "  [119,\n",
       "   8823,\n",
       "   8848,\n",
       "   8827,\n",
       "   8879,\n",
       "   8879,\n",
       "   8878,\n",
       "   8878,\n",
       "   8867,\n",
       "   8628,\n",
       "   119,\n",
       "   119,\n",
       "   119,\n",
       "   119,\n",
       "   112],\n",
       "  [118,\n",
       "   8922,\n",
       "   8910,\n",
       "   8901,\n",
       "   8943,\n",
       "   8943,\n",
       "   8943,\n",
       "   8942,\n",
       "   8933,\n",
       "   8694,\n",
       "   118,\n",
       "   118,\n",
       "   114,\n",
       "   118,\n",
       "   116],\n",
       "  [165,\n",
       "   8994,\n",
       "   8983,\n",
       "   8980,\n",
       "   9013,\n",
       "   9011,\n",
       "   9013,\n",
       "   9008,\n",
       "   9004,\n",
       "   8695,\n",
       "   165,\n",
       "   165,\n",
       "   163,\n",
       "   165,\n",
       "   154],\n",
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       "   9012,\n",
       "   8974,\n",
       "   9040,\n",
       "   9043,\n",
       "   9043,\n",
       "   9036,\n",
       "   9037,\n",
       "   8598,\n",
       "   103,\n",
       "   103,\n",
       "   101,\n",
       "   103,\n",
       "   99],\n",
       "  [114,\n",
       "   8934,\n",
       "   8925,\n",
       "   8917,\n",
       "   8962,\n",
       "   8963,\n",
       "   8961,\n",
       "   8962,\n",
       "   8956,\n",
       "   8695,\n",
       "   114,\n",
       "   114,\n",
       "   112,\n",
       "   114,\n",
       "   112],\n",
       "  [76,\n",
       "   9024,\n",
       "   9013,\n",
       "   8994,\n",
       "   9051,\n",
       "   9052,\n",
       "   9051,\n",
       "   9049,\n",
       "   9043,\n",
       "   8582,\n",
       "   76,\n",
       "   76,\n",
       "   76,\n",
       "   76,\n",
       "   76],\n",
       "  [117,\n",
       "   8961,\n",
       "   8981,\n",
       "   8957,\n",
       "   9005,\n",
       "   9005,\n",
       "   9003,\n",
       "   8999,\n",
       "   8995,\n",
       "   8721,\n",
       "   117,\n",
       "   117,\n",
       "   115,\n",
       "   117,\n",
       "   113],\n",
       "  [100,\n",
       "   9003,\n",
       "   9005,\n",
       "   8984,\n",
       "   9029,\n",
       "   9030,\n",
       "   9024,\n",
       "   9023,\n",
       "   9024,\n",
       "   8599,\n",
       "   100,\n",
       "   100,\n",
       "   99,\n",
       "   100,\n",
       "   98],\n",
       "  [99,\n",
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       "   9002,\n",
       "   8996,\n",
       "   9045,\n",
       "   9046,\n",
       "   9046,\n",
       "   9042,\n",
       "   9031,\n",
       "   8670,\n",
       "   99,\n",
       "   99,\n",
       "   96,\n",
       "   99,\n",
       "   97],\n",
       "  [107,\n",
       "   8919,\n",
       "   8943,\n",
       "   8916,\n",
       "   8954,\n",
       "   8954,\n",
       "   8952,\n",
       "   8951,\n",
       "   8947,\n",
       "   8473,\n",
       "   107,\n",
       "   107,\n",
       "   104,\n",
       "   107,\n",
       "   106],\n",
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       "   8772,\n",
       "   8771,\n",
       "   8784,\n",
       "   8810,\n",
       "   8810,\n",
       "   8807,\n",
       "   8806,\n",
       "   8798,\n",
       "   8620,\n",
       "   124,\n",
       "   124,\n",
       "   122,\n",
       "   124,\n",
       "   119],\n",
       "  [99,\n",
       "   8885,\n",
       "   8883,\n",
       "   8845,\n",
       "   8909,\n",
       "   8912,\n",
       "   8911,\n",
       "   8908,\n",
       "   8908,\n",
       "   8625,\n",
       "   99,\n",
       "   99,\n",
       "   99,\n",
       "   99,\n",
       "   99],\n",
       "  [91,\n",
       "   9022,\n",
       "   9027,\n",
       "   8999,\n",
       "   9052,\n",
       "   9052,\n",
       "   9052,\n",
       "   9049,\n",
       "   9036,\n",
       "   8730,\n",
       "   91,\n",
       "   91,\n",
       "   89,\n",
       "   91,\n",
       "   88],\n",
       "  [136,\n",
       "   7930,\n",
       "   7928,\n",
       "   7915,\n",
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       "   7954,\n",
       "   7951,\n",
       "   7950,\n",
       "   7952,\n",
       "   8711,\n",
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       "   136,\n",
       "   133,\n",
       "   136,\n",
       "   135],\n",
       "  [131,\n",
       "   8973,\n",
       "   8990,\n",
       "   8981,\n",
       "   9015,\n",
       "   9015,\n",
       "   9014,\n",
       "   9013,\n",
       "   9009,\n",
       "   8741,\n",
       "   131,\n",
       "   131,\n",
       "   129,\n",
       "   131,\n",
       "   123],\n",
       "  [110,\n",
       "   9015,\n",
       "   9034,\n",
       "   9002,\n",
       "   9057,\n",
       "   9058,\n",
       "   9056,\n",
       "   9053,\n",
       "   9053,\n",
       "   6415,\n",
       "   110,\n",
       "   110,\n",
       "   110,\n",
       "   110,\n",
       "   108],\n",
       "  [100,\n",
       "   8930,\n",
       "   8990,\n",
       "   8964,\n",
       "   9003,\n",
       "   9004,\n",
       "   9004,\n",
       "   8998,\n",
       "   8999,\n",
       "   8755,\n",
       "   100,\n",
       "   100,\n",
       "   100,\n",
       "   100,\n",
       "   98],\n",
       "  [111,\n",
       "   9020,\n",
       "   9044,\n",
       "   8993,\n",
       "   9060,\n",
       "   9060,\n",
       "   9058,\n",
       "   9051,\n",
       "   9053,\n",
       "   8655,\n",
       "   111,\n",
       "   111,\n",
       "   111,\n",
       "   111,\n",
       "   108],\n",
       "  [139,\n",
       "   8919,\n",
       "   8932,\n",
       "   8923,\n",
       "   8957,\n",
       "   8957,\n",
       "   8954,\n",
       "   8953,\n",
       "   8954,\n",
       "   8631,\n",
       "   139,\n",
       "   139,\n",
       "   136,\n",
       "   139,\n",
       "   134],\n",
       "  [88,\n",
       "   8830,\n",
       "   8841,\n",
       "   8806,\n",
       "   8883,\n",
       "   8882,\n",
       "   8881,\n",
       "   8882,\n",
       "   8874,\n",
       "   8419,\n",
       "   88,\n",
       "   88,\n",
       "   88,\n",
       "   88,\n",
       "   86],\n",
       "  [99,\n",
       "   8871,\n",
       "   8900,\n",
       "   8860,\n",
       "   8916,\n",
       "   8916,\n",
       "   8916,\n",
       "   8914,\n",
       "   8912,\n",
       "   8616,\n",
       "   99,\n",
       "   99,\n",
       "   97,\n",
       "   99,\n",
       "   96],\n",
       "  [102,\n",
       "   8996,\n",
       "   9000,\n",
       "   9004,\n",
       "   9021,\n",
       "   9022,\n",
       "   9018,\n",
       "   9019,\n",
       "   9014,\n",
       "   8738,\n",
       "   102,\n",
       "   102,\n",
       "   101,\n",
       "   102,\n",
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       "   8980,\n",
       "   8963,\n",
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       "   8999,\n",
       "   8998,\n",
       "   8998,\n",
       "   8994,\n",
       "   8741,\n",
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       "   155,\n",
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       "   9047,\n",
       "   9039,\n",
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       "   8612,\n",
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       "   9031,\n",
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       "   119,\n",
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       "   9070,\n",
       "   9071,\n",
       "   9070,\n",
       "   9067,\n",
       "   9066,\n",
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       "   63,\n",
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       "   8981,\n",
       "   8985,\n",
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       "   9016,\n",
       "   9015,\n",
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       "   9010,\n",
       "   8398,\n",
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       "   123,\n",
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       "   8982,\n",
       "   9033,\n",
       "   9033,\n",
       "   9032,\n",
       "   9029,\n",
       "   9025,\n",
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       "   48,\n",
       "   47,\n",
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       "   48],\n",
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       "   8999,\n",
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       "   9023,\n",
       "   9024,\n",
       "   9024,\n",
       "   9022,\n",
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       "   67,\n",
       "   66,\n",
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       "   8852,\n",
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       "   8890,\n",
       "   8890,\n",
       "   8889,\n",
       "   8889,\n",
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       "   8572,\n",
       "   100,\n",
       "   100,\n",
       "   100,\n",
       "   100,\n",
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       "   8844,\n",
       "   8820,\n",
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       "   8868,\n",
       "   8867,\n",
       "   8865,\n",
       "   8858,\n",
       "   8711,\n",
       "   120,\n",
       "   120,\n",
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       "   120,\n",
       "   115],\n",
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       "   9020,\n",
       "   9024,\n",
       "   9023,\n",
       "   9023,\n",
       "   9020,\n",
       "   8660,\n",
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       "   97,\n",
       "   96,\n",
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       "   8999,\n",
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       "   9049,\n",
       "   9050,\n",
       "   9050,\n",
       "   9045,\n",
       "   9045,\n",
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       "   106,\n",
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       "   106,\n",
       "   104],\n",
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       "   9002,\n",
       "   9060,\n",
       "   9061,\n",
       "   9059,\n",
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       "   8704,\n",
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       "   92,\n",
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       "   8933,\n",
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       "   8994,\n",
       "   8993,\n",
       "   8986,\n",
       "   8982,\n",
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       "   144,\n",
       "   144,\n",
       "   141,\n",
       "   144,\n",
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       "   9026,\n",
       "   9061,\n",
       "   9062,\n",
       "   9062,\n",
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       "   8705,\n",
       "   92,\n",
       "   92,\n",
       "   89,\n",
       "   92,\n",
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       "   9062,\n",
       "   9060,\n",
       "   9023,\n",
       "   9076,\n",
       "   9079,\n",
       "   9078,\n",
       "   9075,\n",
       "   9073,\n",
       "   8762,\n",
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       "   81,\n",
       "   78,\n",
       "   81,\n",
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       "   9026,\n",
       "   9029,\n",
       "   9015,\n",
       "   9060,\n",
       "   9061,\n",
       "   9061,\n",
       "   9059,\n",
       "   9054,\n",
       "   8702,\n",
       "   109,\n",
       "   109,\n",
       "   107,\n",
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       "   104],\n",
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       "   8910,\n",
       "   8916,\n",
       "   8926,\n",
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       "   8952,\n",
       "   8951,\n",
       "   8948,\n",
       "   8951,\n",
       "   8570,\n",
       "   140,\n",
       "   140,\n",
       "   137,\n",
       "   140,\n",
       "   130],\n",
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       "   8838,\n",
       "   8816,\n",
       "   8847,\n",
       "   8849,\n",
       "   8850,\n",
       "   8845,\n",
       "   8843,\n",
       "   8570,\n",
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       "   106,\n",
       "   106,\n",
       "   106,\n",
       "   104],\n",
       "  [103,\n",
       "   8915,\n",
       "   8958,\n",
       "   8949,\n",
       "   8977,\n",
       "   8977,\n",
       "   8976,\n",
       "   8974,\n",
       "   8967,\n",
       "   8741,\n",
       "   103,\n",
       "   103,\n",
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       "   9017,\n",
       "   9065,\n",
       "   9065,\n",
       "   9065,\n",
       "   9059,\n",
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       "   8713,\n",
       "   77,\n",
       "   77,\n",
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       "  [152,\n",
       "   8962,\n",
       "   8975,\n",
       "   8970,\n",
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       "   9008,\n",
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       "   9002,\n",
       "   8718,\n",
       "   152,\n",
       "   152,\n",
       "   150,\n",
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       "   145],\n",
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       "   8943,\n",
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       "   8971,\n",
       "   8972,\n",
       "   8972,\n",
       "   8970,\n",
       "   8968,\n",
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       "   69,\n",
       "   69,\n",
       "   69,\n",
       "   69,\n",
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       "   7621,\n",
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       "   7643,\n",
       "   7640,\n",
       "   7638,\n",
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       "   91,\n",
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       "   7971,\n",
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       "   8660,\n",
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       "   8978,\n",
       "   9020,\n",
       "   9021,\n",
       "   9020,\n",
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       "   151,\n",
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       "   9039,\n",
       "   9039,\n",
       "   9035,\n",
       "   9033,\n",
       "   9029,\n",
       "   8531,\n",
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       "   79,\n",
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       "   8918,\n",
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       "   8945,\n",
       "   8943,\n",
       "   8942,\n",
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       "   8610,\n",
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       "   119,\n",
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       "   7732,\n",
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       "   7732,\n",
       "   7728,\n",
       "   8590,\n",
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       "   77,\n",
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       "   8915,\n",
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       "   8984,\n",
       "   8983,\n",
       "   8982,\n",
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       "   124,\n",
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       "   9042,\n",
       "   9026,\n",
       "   9066,\n",
       "   9066,\n",
       "   9066,\n",
       "   9063,\n",
       "   9064,\n",
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       "   112,\n",
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       "   8985,\n",
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       "   91,\n",
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       "   9031,\n",
       "   9030,\n",
       "   9031,\n",
       "   9024,\n",
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       "   128,\n",
       "   128,\n",
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       "   9031,\n",
       "   9031,\n",
       "   9030,\n",
       "   9022,\n",
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       "   8780,\n",
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       "   88,\n",
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       "   9029,\n",
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       "   9055,\n",
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       "   9000,\n",
       "   9040,\n",
       "   9040,\n",
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       "   101,\n",
       "   101,\n",
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       "   100],\n",
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       "   8862,\n",
       "   8863,\n",
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       "   8618,\n",
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       "   8866,\n",
       "   8860,\n",
       "   8860,\n",
       "   8665,\n",
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       "   74,\n",
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       "   9007,\n",
       "   8794,\n",
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       "   9043,\n",
       "   9025,\n",
       "   9070,\n",
       "   9070,\n",
       "   9068,\n",
       "   9066,\n",
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       "   75,\n",
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       "   9047,\n",
       "   9021,\n",
       "   9069,\n",
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       "   9071,\n",
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       "   130,\n",
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       "   9039,\n",
       "   9040,\n",
       "   9038,\n",
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       "   81,\n",
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       "   9046,\n",
       "   9036,\n",
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       "   9027,\n",
       "   9067,\n",
       "   9066,\n",
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       "   8961,\n",
       "   8969,\n",
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       "   8717,\n",
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       "   8926,\n",
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       "   8939,\n",
       "   8944,\n",
       "   8462,\n",
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       "   101,\n",
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       "   8830,\n",
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       "   8897,\n",
       "   8896,\n",
       "   8890,\n",
       "   8888,\n",
       "   8664,\n",
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       "   91,\n",
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       "   8917,\n",
       "   8942,\n",
       "   8922,\n",
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       "   8952,\n",
       "   8950,\n",
       "   8949,\n",
       "   8945,\n",
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       "   95,\n",
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       "   8994,\n",
       "   8964,\n",
       "   9026,\n",
       "   9026,\n",
       "   9024,\n",
       "   9026,\n",
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       "   8797,\n",
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       "   97,\n",
       "   93,\n",
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       "   92],\n",
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       "   119,\n",
       "   119,\n",
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       "   114],\n",
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       "   9068,\n",
       "   9068,\n",
       "   9068,\n",
       "   9066,\n",
       "   9061,\n",
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       "   85,\n",
       "   85,\n",
       "   82,\n",
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       "   81],\n",
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       "   9033,\n",
       "   9039,\n",
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       "   9066,\n",
       "   9067,\n",
       "   9060,\n",
       "   9060,\n",
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       "   8695,\n",
       "   100,\n",
       "   100,\n",
       "   99,\n",
       "   100,\n",
       "   95],\n",
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       "   9038,\n",
       "   9007,\n",
       "   9053,\n",
       "   9053,\n",
       "   9052,\n",
       "   9046,\n",
       "   9040,\n",
       "   8665,\n",
       "   128,\n",
       "   128,\n",
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       "   122],\n",
       "  [87,\n",
       "   9030,\n",
       "   9020,\n",
       "   9016,\n",
       "   9060,\n",
       "   9060,\n",
       "   9059,\n",
       "   9056,\n",
       "   9055,\n",
       "   8729,\n",
       "   87,\n",
       "   87,\n",
       "   86,\n",
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       "   84],\n",
       "  [84,\n",
       "   9037,\n",
       "   9031,\n",
       "   9032,\n",
       "   9063,\n",
       "   9063,\n",
       "   9063,\n",
       "   9056,\n",
       "   9056,\n",
       "   8650,\n",
       "   84,\n",
       "   84,\n",
       "   81,\n",
       "   84,\n",
       "   81],\n",
       "  [85,\n",
       "   8933,\n",
       "   8954,\n",
       "   8937,\n",
       "   8972,\n",
       "   8974,\n",
       "   8973,\n",
       "   8974,\n",
       "   8964,\n",
       "   8553,\n",
       "   85,\n",
       "   85,\n",
       "   85,\n",
       "   85,\n",
       "   80],\n",
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       "   8829,\n",
       "   8822,\n",
       "   8825,\n",
       "   8857,\n",
       "   8858,\n",
       "   8858,\n",
       "   8852,\n",
       "   8856,\n",
       "   8691,\n",
       "   124,\n",
       "   124,\n",
       "   124,\n",
       "   124,\n",
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       "   8930,\n",
       "   8916,\n",
       "   8950,\n",
       "   8956,\n",
       "   8956,\n",
       "   8951,\n",
       "   8953,\n",
       "   8694,\n",
       "   79,\n",
       "   79,\n",
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       "   7978,\n",
       "   7940,\n",
       "   8003,\n",
       "   8003,\n",
       "   8001,\n",
       "   8002,\n",
       "   8000,\n",
       "   8699,\n",
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       "   112,\n",
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       "   9030,\n",
       "   9036,\n",
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       "   9052,\n",
       "   9050,\n",
       "   9048,\n",
       "   9042,\n",
       "   8708,\n",
       "   83,\n",
       "   83,\n",
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       "   9032,\n",
       "   9034,\n",
       "   9025,\n",
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       "   9056,\n",
       "   9055,\n",
       "   9053,\n",
       "   9051,\n",
       "   8743,\n",
       "   146,\n",
       "   146,\n",
       "   143,\n",
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       "   136],\n",
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       "   9002,\n",
       "   8997,\n",
       "   9032,\n",
       "   9035,\n",
       "   9035,\n",
       "   9032,\n",
       "   9030,\n",
       "   8715,\n",
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       "   93,\n",
       "   91,\n",
       "   93,\n",
       "   91],\n",
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       "   9034,\n",
       "   9029,\n",
       "   9070,\n",
       "   9071,\n",
       "   9071,\n",
       "   9065,\n",
       "   9064,\n",
       "   8720,\n",
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       "   98,\n",
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       "   9038,\n",
       "   9060,\n",
       "   9042,\n",
       "   9069,\n",
       "   9065,\n",
       "   9068,\n",
       "   9068,\n",
       "   9064,\n",
       "   8545,\n",
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       "   87,\n",
       "   86,\n",
       "   87,\n",
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       "   8953,\n",
       "   8929,\n",
       "   8973,\n",
       "   8973,\n",
       "   8973,\n",
       "   8966,\n",
       "   8962,\n",
       "   8623,\n",
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       "   113,\n",
       "   112,\n",
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       "   110],\n",
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       "   8851,\n",
       "   8866,\n",
       "   8849,\n",
       "   8882,\n",
       "   8883,\n",
       "   8882,\n",
       "   8879,\n",
       "   8872,\n",
       "   8504,\n",
       "   104,\n",
       "   104,\n",
       "   102,\n",
       "   104,\n",
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       "   8878,\n",
       "   8885,\n",
       "   8869,\n",
       "   8905,\n",
       "   8907,\n",
       "   8907,\n",
       "   8904,\n",
       "   8899,\n",
       "   8728,\n",
       "   81,\n",
       "   81,\n",
       "   80,\n",
       "   81,\n",
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       "   8972,\n",
       "   8987,\n",
       "   8969,\n",
       "   9013,\n",
       "   9014,\n",
       "   9012,\n",
       "   9012,\n",
       "   9010,\n",
       "   8678,\n",
       "   94,\n",
       "   94,\n",
       "   93,\n",
       "   94,\n",
       "   89],\n",
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       "   9009,\n",
       "   9024,\n",
       "   8991,\n",
       "   9037,\n",
       "   9038,\n",
       "   9038,\n",
       "   9038,\n",
       "   9025,\n",
       "   8765,\n",
       "   103,\n",
       "   103,\n",
       "   99,\n",
       "   103,\n",
       "   98],\n",
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       "   8992,\n",
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       "   9011,\n",
       "   9054,\n",
       "   9045,\n",
       "   9054,\n",
       "   9054,\n",
       "   9053,\n",
       "   8724,\n",
       "   118,\n",
       "   118,\n",
       "   116,\n",
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       "   117],\n",
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       "   9021,\n",
       "   9000,\n",
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       "   9058,\n",
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       "   9053,\n",
       "   9053,\n",
       "   8727,\n",
       "   83,\n",
       "   83,\n",
       "   80,\n",
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       "   78],\n",
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       "   9013,\n",
       "   9027,\n",
       "   8990,\n",
       "   9057,\n",
       "   9056,\n",
       "   9054,\n",
       "   9054,\n",
       "   9054,\n",
       "   8764,\n",
       "   106,\n",
       "   106,\n",
       "   105,\n",
       "   106,\n",
       "   103],\n",
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       "   8989,\n",
       "   8995,\n",
       "   9025,\n",
       "   9021,\n",
       "   9025,\n",
       "   9018,\n",
       "   9008,\n",
       "   8724,\n",
       "   131,\n",
       "   131,\n",
       "   130,\n",
       "   131,\n",
       "   124],\n",
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       "   9003,\n",
       "   8970,\n",
       "   9034,\n",
       "   9034,\n",
       "   9034,\n",
       "   9033,\n",
       "   9026,\n",
       "   8587,\n",
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       "   77,\n",
       "   75,\n",
       "   77,\n",
       "   76],\n",
       "  [74,\n",
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       "   8975,\n",
       "   8949,\n",
       "   9007,\n",
       "   9007,\n",
       "   9007,\n",
       "   9004,\n",
       "   9000,\n",
       "   8522,\n",
       "   74,\n",
       "   74,\n",
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       "   8840,\n",
       "   8885,\n",
       "   8869,\n",
       "   8901,\n",
       "   8898,\n",
       "   8899,\n",
       "   8900,\n",
       "   8893,\n",
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       "   88,\n",
       "   88,\n",
       "   87,\n",
       "   88,\n",
       "   86],\n",
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       "   8832,\n",
       "   8854,\n",
       "   8847,\n",
       "   8887,\n",
       "   8887,\n",
       "   8887,\n",
       "   8880,\n",
       "   8883,\n",
       "   8729,\n",
       "   122,\n",
       "   122,\n",
       "   119,\n",
       "   122,\n",
       "   120],\n",
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       "   8980,\n",
       "   8976,\n",
       "   8996,\n",
       "   9000,\n",
       "   8997,\n",
       "   8996,\n",
       "   8992,\n",
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       "   73,\n",
       "   73,\n",
       "   72,\n",
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       "   9028,\n",
       "   9047,\n",
       "   9021,\n",
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       "   9062,\n",
       "   9061,\n",
       "   9061,\n",
       "   9060,\n",
       "   8720,\n",
       "   90,\n",
       "   90,\n",
       "   89,\n",
       "   90,\n",
       "   86],\n",
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       "   9026,\n",
       "   9042,\n",
       "   9037,\n",
       "   9073,\n",
       "   9072,\n",
       "   9068,\n",
       "   9066,\n",
       "   9063,\n",
       "   8683,\n",
       "   77,\n",
       "   77,\n",
       "   76,\n",
       "   77,\n",
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       "   8987,\n",
       "   8997,\n",
       "   8975,\n",
       "   9025,\n",
       "   9025,\n",
       "   9025,\n",
       "   9023,\n",
       "   9023,\n",
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       "   119,\n",
       "   116,\n",
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       "   8975,\n",
       "   9031,\n",
       "   9032,\n",
       "   9030,\n",
       "   9028,\n",
       "   9027,\n",
       "   8685,\n",
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       "   79,\n",
       "   78,\n",
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       "   9038,\n",
       "   9036,\n",
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       "   9056,\n",
       "   8742,\n",
       "   90,\n",
       "   90,\n",
       "   90,\n",
       "   90,\n",
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       "   9044,\n",
       "   9040,\n",
       "   9040,\n",
       "   9062,\n",
       "   9060,\n",
       "   9060,\n",
       "   9058,\n",
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       "   8474,\n",
       "   99,\n",
       "   99,\n",
       "   96,\n",
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       "  [99,\n",
       "   8921,\n",
       "   8934,\n",
       "   8916,\n",
       "   8944,\n",
       "   8945,\n",
       "   8945,\n",
       "   8943,\n",
       "   8936,\n",
       "   8575,\n",
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       "   99,\n",
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       "   8835,\n",
       "   8865,\n",
       "   8823,\n",
       "   8869,\n",
       "   8869,\n",
       "   8870,\n",
       "   8867,\n",
       "   8864,\n",
       "   8596,\n",
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       "   98,\n",
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       "   98,\n",
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       "   8951,\n",
       "   8916,\n",
       "   8972,\n",
       "   8975,\n",
       "   8975,\n",
       "   8974,\n",
       "   8968,\n",
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       "   100,\n",
       "   100,\n",
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       "   100,\n",
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       "   9036,\n",
       "   9011,\n",
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       "   9052,\n",
       "   9050,\n",
       "   8535,\n",
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       "   83,\n",
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       "   9003,\n",
       "   8983,\n",
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       "   9041,\n",
       "   9039,\n",
       "   9029,\n",
       "   8795,\n",
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       "   99,\n",
       "   99,\n",
       "   99,\n",
       "   94],\n",
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       "   8979,\n",
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       "   9008,\n",
       "   9008,\n",
       "   9002,\n",
       "   9007,\n",
       "   8711,\n",
       "   110,\n",
       "   110,\n",
       "   108,\n",
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       "   9038,\n",
       "   9025,\n",
       "   9083,\n",
       "   9083,\n",
       "   9083,\n",
       "   9081,\n",
       "   9075,\n",
       "   8762,\n",
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       "   89,\n",
       "   88,\n",
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       "   89],\n",
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       "   9028,\n",
       "   9032,\n",
       "   9023,\n",
       "   9056,\n",
       "   9059,\n",
       "   9059,\n",
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       "   9059,\n",
       "   8730,\n",
       "   105,\n",
       "   105,\n",
       "   103,\n",
       "   105,\n",
       "   102],\n",
       "  [100,\n",
       "   8988,\n",
       "   8990,\n",
       "   9005,\n",
       "   9021,\n",
       "   9021,\n",
       "   9021,\n",
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       "   8654,\n",
       "   100,\n",
       "   100,\n",
       "   97,\n",
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       "   93],\n",
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       "   8967,\n",
       "   8953,\n",
       "   8945,\n",
       "   8979,\n",
       "   8982,\n",
       "   8982,\n",
       "   8977,\n",
       "   8979,\n",
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       "   83,\n",
       "   83,\n",
       "   81,\n",
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       "   8901,\n",
       "   8893,\n",
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       "   8931,\n",
       "   8932,\n",
       "   8932,\n",
       "   8929,\n",
       "   8924,\n",
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       "   69,\n",
       "   69,\n",
       "   69,\n",
       "   69,\n",
       "   68],\n",
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       "   8868,\n",
       "   8908,\n",
       "   8862,\n",
       "   8919,\n",
       "   8919,\n",
       "   8918,\n",
       "   8917,\n",
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       "   85,\n",
       "   85,\n",
       "   85,\n",
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       "   8979,\n",
       "   8984,\n",
       "   8984,\n",
       "   8979,\n",
       "   8982,\n",
       "   8732,\n",
       "   102,\n",
       "   102,\n",
       "   102,\n",
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       "   8978,\n",
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       "   9014,\n",
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       "   9011,\n",
       "   9011,\n",
       "   8714,\n",
       "   76,\n",
       "   76,\n",
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       "   9037,\n",
       "   9024,\n",
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       "   9053,\n",
       "   8748,\n",
       "   92,\n",
       "   92,\n",
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       "   9025,\n",
       "   9023,\n",
       "   9034,\n",
       "   9067,\n",
       "   9068,\n",
       "   9066,\n",
       "   9065,\n",
       "   9060,\n",
       "   8631,\n",
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       "   65,\n",
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       "   9029,\n",
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       "   9047,\n",
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       "   8633,\n",
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       "   114,\n",
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       "   9010,\n",
       "   8986,\n",
       "   9032,\n",
       "   9032,\n",
       "   9030,\n",
       "   9030,\n",
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       "   8711,\n",
       "   96,\n",
       "   96,\n",
       "   95,\n",
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       "   93],\n",
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       "   9028,\n",
       "   9017,\n",
       "   9065,\n",
       "   9069,\n",
       "   9069,\n",
       "   9067,\n",
       "   9060,\n",
       "   8633,\n",
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       "   73,\n",
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       "   72],\n",
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       "   8965,\n",
       "   8974,\n",
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       "   9013,\n",
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       "   8410,\n",
       "   99,\n",
       "   99,\n",
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       "   8872,\n",
       "   8880,\n",
       "   8891,\n",
       "   8902,\n",
       "   8902,\n",
       "   8902,\n",
       "   8895,\n",
       "   8629,\n",
       "   105,\n",
       "   105,\n",
       "   103,\n",
       "   105,\n",
       "   102],\n",
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       "   8847,\n",
       "   8860,\n",
       "   8830,\n",
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       "   8874,\n",
       "   8872,\n",
       "   8867,\n",
       "   8868,\n",
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       "   99,\n",
       "   99,\n",
       "   99,\n",
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       "   93],\n",
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       "   8998,\n",
       "   9031,\n",
       "   9031,\n",
       "   9031,\n",
       "   9027,\n",
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       "   8711,\n",
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       "   90,\n",
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       "   85],\n",
       "  [90,\n",
       "   9028,\n",
       "   9031,\n",
       "   9043,\n",
       "   9069,\n",
       "   9069,\n",
       "   9072,\n",
       "   9070,\n",
       "   9070,\n",
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       "   90,\n",
       "   90,\n",
       "   90,\n",
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       "   82],\n",
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       "   8925,\n",
       "   8986,\n",
       "   8979,\n",
       "   9025,\n",
       "   9025,\n",
       "   9026,\n",
       "   9023,\n",
       "   9015,\n",
       "   8729,\n",
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       "   112,\n",
       "   109,\n",
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       "   108],\n",
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       "   8998,\n",
       "   8985,\n",
       "   9030,\n",
       "   9031,\n",
       "   9030,\n",
       "   9028,\n",
       "   9025,\n",
       "   8566,\n",
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       "   95,\n",
       "   95,\n",
       "   95,\n",
       "   89],\n",
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       "   8992,\n",
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       "   9051,\n",
       "   8770,\n",
       "   54,\n",
       "   54,\n",
       "   54,\n",
       "   54,\n",
       "   51],\n",
       "  [88,\n",
       "   9016,\n",
       "   8991,\n",
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       "   9056,\n",
       "   9058,\n",
       "   9055,\n",
       "   9051,\n",
       "   9042,\n",
       "   8667,\n",
       "   88,\n",
       "   88,\n",
       "   87,\n",
       "   88,\n",
       "   83],\n",
       "  [111,\n",
       "   8991,\n",
       "   9001,\n",
       "   8980,\n",
       "   9033,\n",
       "   9033,\n",
       "   9031,\n",
       "   9026,\n",
       "   9032,\n",
       "   8560,\n",
       "   111,\n",
       "   111,\n",
       "   108,\n",
       "   111,\n",
       "   106],\n",
       "  [79,\n",
       "   8928,\n",
       "   8953,\n",
       "   8923,\n",
       "   8977,\n",
       "   8982,\n",
       "   8981,\n",
       "   8982,\n",
       "   8978,\n",
       "   8525,\n",
       "   79,\n",
       "   79,\n",
       "   79,\n",
       "   79,\n",
       "   76],\n",
       "  [56,\n",
       "   8836,\n",
       "   8863,\n",
       "   8846,\n",
       "   8887,\n",
       "   8887,\n",
       "   8887,\n",
       "   8885,\n",
       "   8879,\n",
       "   8652,\n",
       "   56,\n",
       "   56,\n",
       "   53,\n",
       "   56,\n",
       "   55],\n",
       "  [77,\n",
       "   8886,\n",
       "   8910,\n",
       "   8903,\n",
       "   8944,\n",
       "   8943,\n",
       "   8944,\n",
       "   8943,\n",
       "   8937,\n",
       "   8654,\n",
       "   77,\n",
       "   77,\n",
       "   77,\n",
       "   77,\n",
       "   76],\n",
       "  [124,\n",
       "   8988,\n",
       "   9022,\n",
       "   9000,\n",
       "   9034,\n",
       "   9033,\n",
       "   9033,\n",
       "   9033,\n",
       "   9031,\n",
       "   8678,\n",
       "   124,\n",
       "   124,\n",
       "   122,\n",
       "   124,\n",
       "   119],\n",
       "  [92,\n",
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       "   9052,\n",
       "   9011,\n",
       "   9076,\n",
       "   9077,\n",
       "   9076,\n",
       "   9070,\n",
       "   9072,\n",
       "   8652,\n",
       "   92,\n",
       "   92,\n",
       "   89,\n",
       "   92,\n",
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       "   9050,\n",
       "   9022,\n",
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       "   9071,\n",
       "   9071,\n",
       "   9070,\n",
       "   9068,\n",
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       "   80,\n",
       "   80,\n",
       "   78,\n",
       "   80,\n",
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       "  [76,\n",
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       "   9002,\n",
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       "   9036,\n",
       "   9039,\n",
       "   9039,\n",
       "   9034,\n",
       "   9033,\n",
       "   8600,\n",
       "   76,\n",
       "   76,\n",
       "   76,\n",
       "   76,\n",
       "   74],\n",
       "  [108,\n",
       "   8971,\n",
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       "   8971,\n",
       "   9022,\n",
       "   9023,\n",
       "   9023,\n",
       "   9020,\n",
       "   9018,\n",
       "   8735,\n",
       "   108,\n",
       "   108,\n",
       "   104,\n",
       "   108,\n",
       "   104],\n",
       "  [93,\n",
       "   8969,\n",
       "   8986,\n",
       "   8977,\n",
       "   9014,\n",
       "   9014,\n",
       "   9013,\n",
       "   9010,\n",
       "   9006,\n",
       "   8546,\n",
       "   93,\n",
       "   93,\n",
       "   92,\n",
       "   93,\n",
       "   90],\n",
       "  [75,\n",
       "   8958,\n",
       "   8984,\n",
       "   8983,\n",
       "   9014,\n",
       "   9013,\n",
       "   9014,\n",
       "   9012,\n",
       "   9005,\n",
       "   8494,\n",
       "   75,\n",
       "   75,\n",
       "   70,\n",
       "   75,\n",
       "   71],\n",
       "  [86,\n",
       "   8920,\n",
       "   8937,\n",
       "   8907,\n",
       "   8971,\n",
       "   8972,\n",
       "   8971,\n",
       "   8970,\n",
       "   8967,\n",
       "   8514,\n",
       "   86,\n",
       "   86,\n",
       "   84,\n",
       "   86,\n",
       "   85],\n",
       "  [114,\n",
       "   8857,\n",
       "   8891,\n",
       "   8864,\n",
       "   8898,\n",
       "   8898,\n",
       "   8897,\n",
       "   8897,\n",
       "   8884,\n",
       "   8686,\n",
       "   114,\n",
       "   114,\n",
       "   110,\n",
       "   114,\n",
       "   111],\n",
       "  [90,\n",
       "   8920,\n",
       "   8919,\n",
       "   8922,\n",
       "   8964,\n",
       "   8966,\n",
       "   8965,\n",
       "   8962,\n",
       "   8964,\n",
       "   8613,\n",
       "   90,\n",
       "   90,\n",
       "   87,\n",
       "   90,\n",
       "   86],\n",
       "  [89,\n",
       "   9025,\n",
       "   9028,\n",
       "   9023,\n",
       "   9065,\n",
       "   9065,\n",
       "   9062,\n",
       "   9060,\n",
       "   9056,\n",
       "   8751,\n",
       "   89,\n",
       "   89,\n",
       "   87,\n",
       "   88,\n",
       "   88],\n",
       "  [90,\n",
       "   9050,\n",
       "   9020,\n",
       "   9014,\n",
       "   9065,\n",
       "   9066,\n",
       "   9065,\n",
       "   9064,\n",
       "   9059,\n",
       "   8613,\n",
       "   90,\n",
       "   90,\n",
       "   88,\n",
       "   90,\n",
       "   89],\n",
       "  [104,\n",
       "   9026,\n",
       "   9033,\n",
       "   8997,\n",
       "   9049,\n",
       "   9054,\n",
       "   9053,\n",
       "   9052,\n",
       "   9041,\n",
       "   8730,\n",
       "   104,\n",
       "   104,\n",
       "   104,\n",
       "   104,\n",
       "   103],\n",
       "  [99,\n",
       "   8971,\n",
       "   8993,\n",
       "   8971,\n",
       "   9021,\n",
       "   9020,\n",
       "   9020,\n",
       "   9020,\n",
       "   9011,\n",
       "   8593,\n",
       "   99,\n",
       "   99,\n",
       "   97,\n",
       "   99,\n",
       "   97],\n",
       "  [59,\n",
       "   9016,\n",
       "   9048,\n",
       "   8996,\n",
       "   9054,\n",
       "   9058,\n",
       "   9058,\n",
       "   9055,\n",
       "   9050,\n",
       "   8720,\n",
       "   59,\n",
       "   59,\n",
       "   58,\n",
       "   59,\n",
       "   57],\n",
       "  [102,\n",
       "   9053,\n",
       "   9042,\n",
       "   9024,\n",
       "   9071,\n",
       "   9072,\n",
       "   9065,\n",
       "   9069,\n",
       "   9065,\n",
       "   8565,\n",
       "   102,\n",
       "   102,\n",
       "   99,\n",
       "   102,\n",
       "   101],\n",
       "  [113,\n",
       "   8984,\n",
       "   9002,\n",
       "   8955,\n",
       "   9019,\n",
       "   9019,\n",
       "   9018,\n",
       "   9012,\n",
       "   9014,\n",
       "   8508,\n",
       "   113,\n",
       "   113,\n",
       "   111,\n",
       "   113,\n",
       "   108]],\n",
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       "  [0, 51, 49, 52, 4, 3, 4, 10, 20, 12, 25, 0, 2, 0, 7],\n",
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       "   2.2667694]])"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 1200x1000 with 12 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# mask = \"(sat == 'n19' & type == 'hirs4')\"\n",
    "# mask = \"(sat == 'n19' & type == 'amsua')\"\n",
    "# mask = \"(sat == 'n15' & type == 'amsua')\"\n",
    "\n",
    "mask = \"(type == 'amsua')\"\n",
    "\n",
    "channel = None\n",
    "gd.plot_diag.time_series_fort207(Self, Type='amsua', \n",
    "                                 Sat='MetOp-B and C', \n",
    "                                 it=3, \n",
    "                                 dateIni=dateIni, \n",
    "                                 dateFin=dateFin, \n",
    "                                 nHour=nHour, \n",
    "                                 mask=mask, \n",
    "                                 channel=channel, \n",
    "                                 Clean=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "96041b3b-bb2a-4b6e-bc04-7ee472bc1712",
   "metadata": {},
   "source": [
    "\n",
    "Exemplo para quando `channel` é uma lista, no caso `channel = [1, 2, 3, 5]`.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "1e930c91-3c31-4057-a177-c426ac58a6d7",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " =============================================================================================================\n",
      "[1, 2, 3, 4, 5] 1\n",
      "\n",
      "mask =  (sat == 'n19' & type == 'amsua')\n",
      "\n",
      "Stage it:  3\n",
      "\n",
      "Table:  1\n",
      "\n",
      " Preparing data for: channels2024-03-01:00\n",
      " channels:  [1, 2, 3, 4, 5]\n",
      "\n",
      " Preparing data for: channels2024-03-01:06\n",
      " channels:  [1, 2, 3, 4, 5]\n",
      "\n",
      " Preparing data for: channels2024-03-01:12\n",
      " channels:  [1, 2, 3, 4, 5]\n",
      "\n",
      " Preparing data for: channels2024-03-01:18\n",
      " channels:  [1, 2, 3, 4, 5]\n",
      "\n",
      " Preparing data for: channels2024-03-02:00\n",
      " channels:  [1, 2, 3, 4, 5]\n",
      "\n",
      " Preparing data for: channels2024-03-02:06\n",
      " channels:  [1, 2, 3, 4, 5]\n",
      "\n",
      " Preparing data for: channels2024-03-02:12\n",
      " channels:  [1, 2, 3, 4, 5]\n",
      "\n",
      " Preparing data for: channels2024-03-02:18\n",
      " channels:  [1, 2, 3, 4, 5]\n",
      "\n",
      " Preparing data for: channels2024-03-03:00\n",
      " channels:  [1, 2, 3, 4, 5]\n",
      "\n",
      " Preparing data for: channels2024-03-03:06\n",
      " channels:  [1, 2, 3, 4, 5]\n",
      "\n",
      " Preparing data for: channels2024-03-03:12\n",
      " channels:  [1, 2, 3, 4, 5]\n",
      "\n",
      " Preparing data for: channels2024-03-03:18\n",
      " channels:  [1, 2, 3, 4, 5]\n",
      "\n",
      " Preparing data for: channels2024-03-04:00\n",
      " channels:  [1, 2, 3, 4, 5]\n",
      "\n",
      " Preparing data for: channels2024-03-04:06\n",
      " channels:  [1, 2, 3, 4, 5]\n",
      "\n",
      " Preparing data for: channels2024-03-04:12\n",
      " channels:  [1, 2, 3, 4, 5]\n",
      "\n",
      " Preparing data for: channels2024-03-04:18\n",
      " channels:  [1, 2, 3, 4, 5]\n",
      "\n",
      " Preparing data for: channels2024-03-05:00\n",
      " channels:  [1, 2, 3, 4, 5]\n",
      "\n",
      " Preparing data for: channels2024-03-05:06\n",
      " channels:  [1, 2, 3, 4, 5]\n",
      "\n",
      " Preparing data for: channels2024-03-05:12\n",
      " channels:  [1, 2, 3, 4, 5]\n",
      "\n",
      " Preparing data for: channels2024-03-05:18\n",
      " channels:  [1, 2, 3, 4, 5]\n",
      "\n",
      "\n",
      " =============================================================================================================\n",
      "\n",
      "channels =  [1, 2, 3, 4, 5]\n",
      " Calculating for 2024-03-01:00\n",
      " Calculating for 2024-03-01:06\n",
      " Calculating for 2024-03-01:12\n",
      " Calculating for 2024-03-01:18\n",
      " Calculating for 2024-03-02:00\n",
      " Calculating for 2024-03-02:06\n",
      " Calculating for 2024-03-02:12\n",
      " Calculating for 2024-03-02:18\n",
      " Calculating for 2024-03-03:00\n",
      " Calculating for 2024-03-03:06\n",
      " Calculating for 2024-03-03:12\n",
      " Calculating for 2024-03-03:18\n",
      " Calculating for 2024-03-04:00\n",
      " Calculating for 2024-03-04:06\n",
      " Calculating for 2024-03-04:12\n",
      " Calculating for 2024-03-04:18\n",
      " Calculating for 2024-03-05:00\n",
      " Calculating for 2024-03-05:06\n",
      " Calculating for 2024-03-05:12\n",
      " Calculating for 2024-03-05:18\n",
      "\n",
      " =============================================================================================================\n",
      "\n",
      " Making Graphics...\n",
      " Done!\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x1000 with 12 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mask = \"(sat == 'n19' & type == 'amsua')\"\n",
    "\n",
    "channel = [1, 2, 3, 4, 5]\n",
    "gd.plot_diag.time_series_fort207(Self, Type='amsua', \n",
    "                                 Sat='n19', \n",
    "                                 it=3, \n",
    "                                 dateIni=dateIni, \n",
    "                                 dateFin=dateFin, \n",
    "                                 nHour=nHour, \n",
    "                                 mask=mask, \n",
    "                                 channel=channel, \n",
    "                                 Clean=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "502ed794-ed36-4f4f-a8cb-04b9d9c5a2b2",
   "metadata": {},
   "source": [
    "\n",
    "Exemplo para quando `channel` recebe umm valor. Abaixo `channel = 13`.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "0b57ed0c-4e24-438a-a3bd-7023b9c719c4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " =============================================================================================================\n",
      "13 0\n",
      "\n",
      "mask =  (sat == 'n19' & type == 'amsua')\n",
      "\n",
      "Stage it:  3\n",
      "\n",
      "Table:  1\n",
      "\n",
      " Preparing data for: 2024-03-01:00  - channel:  13\n",
      " Preparing data for: 2024-03-01:06  - channel:  13\n",
      " Preparing data for: 2024-03-01:12  - channel:  13\n",
      " Preparing data for: 2024-03-01:18  - channel:  13\n",
      " Preparing data for: 2024-03-02:00  - channel:  13\n",
      " Preparing data for: 2024-03-02:06  - channel:  13\n",
      " Preparing data for: 2024-03-02:12  - channel:  13\n",
      " Preparing data for: 2024-03-02:18  - channel:  13\n",
      " Preparing data for: 2024-03-03:00  - channel:  13\n",
      " Preparing data for: 2024-03-03:06  - channel:  13\n",
      " Preparing data for: 2024-03-03:12  - channel:  13\n",
      " Preparing data for: 2024-03-03:18  - channel:  13\n",
      " Preparing data for: 2024-03-04:00  - channel:  13\n",
      " Preparing data for: 2024-03-04:06  - channel:  13\n",
      " Preparing data for: 2024-03-04:12  - channel:  13\n",
      " Preparing data for: 2024-03-04:18  - channel:  13\n",
      " Preparing data for: 2024-03-05:00  - channel:  13\n",
      " Preparing data for: 2024-03-05:06  - channel:  13\n",
      " Preparing data for: 2024-03-05:12  - channel:  13\n",
      " Preparing data for: 2024-03-05:18  - channel:  13\n",
      "\n",
      " =============================================================================================================\n",
      "\n",
      "channels =  [13]\n",
      " Calculating for 2024-03-01:00\n",
      " Calculating for 2024-03-01:06\n",
      " Calculating for 2024-03-01:12\n",
      " Calculating for 2024-03-01:18\n",
      " Calculating for 2024-03-02:00\n",
      " Calculating for 2024-03-02:06\n",
      " Calculating for 2024-03-02:12\n",
      " Calculating for 2024-03-02:18\n",
      " Calculating for 2024-03-03:00\n",
      " Calculating for 2024-03-03:06\n",
      " Calculating for 2024-03-03:12\n",
      " Calculating for 2024-03-03:18\n",
      " Calculating for 2024-03-04:00\n",
      " Calculating for 2024-03-04:06\n",
      " Calculating for 2024-03-04:12\n",
      " Calculating for 2024-03-04:18\n",
      " Calculating for 2024-03-05:00\n",
      " Calculating for 2024-03-05:06\n",
      " Calculating for 2024-03-05:12\n",
      " Calculating for 2024-03-05:18\n",
      "\n",
      " =============================================================================================================\n",
      "\n",
      " Making Graphics...\n",
      " Done!\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 800x400 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 700x400 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 700x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mask = \"(sat == 'n19' & type == 'amsua')\"\n",
    "\n",
    "channel = 13\n",
    "gd.plot_diag.time_series_fort207(Self, Type='amsua', \n",
    "                                 Sat='n19', \n",
    "                                 it=3, \n",
    "                                 dateIni=dateIni, \n",
    "                                 dateFin=dateFin, \n",
    "                                 nHour=nHour, \n",
    "                                 mask=mask, \n",
    "                                 channel=channel, \n",
    "                                 Clean=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c2b358ef",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "readDiag.Radi",
   "language": "python",
   "name": "readdiag.radi"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.18"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
