analise-dados.ipynb

{
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   "source": [
    "## Projeto\n",
    "\n",
    "Esse projeto em PySpark faz uma análise de dados de preços de combustíveis da ANP, reproduzindo trabalho anterior desenvolvido com Hadoop e Hive.\n",
    "\n",
    "- https://github.com/pinei/hadoop-precos-combustiveis"
   ]
  },
  {
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   },
   "source": [
    "## Coleta de dados\n",
    "\n",
    "O trabalho faz uso de dados publicados pela ANP (Agência Nacional de Petróleo)\n",
    "\n",
    "> Em cumprimento às determinações da Lei do Petróleo (Lei nº 9478/1997, artigo 8º), a ANP acompanha os preços praticados por revendedores de combustíveis automotivos e de gás liquefeito de petróleo envasilhado em botijões de 13 quilos (GLP P13), por meio de uma pesquisa semanal de preços realizada por empresa contratada.\n",
    "\n",
    "- [Série Histórica de Preços de Combustíveis e de GLP](https://www.gov.br/anp/pt-br/centrais-de-conteudo/dados-abertos/serie-historica-de-precos-de-combustiveis)"
   ]
  },
  {
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   "id": "e7692d95-c2b6-4aa7-90a8-7c31e0f7b1d6",
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   "source": [
    "Coletamos a série histórica de \"Combustíveis automotivos\" que vai de 2004 a 2023. São 39 arquivos CSV totalizando aproximadamente 3.7 GB.\n",
    "\n",
    "![Amostra dos dados](./assets/amostra_planilha_revenda.png)\n",
    "\n",
    "- [Metadados em PDF](https://www.gov.br/anp/pt-br/centrais-de-conteudo/dados-abertos/arquivos/shpc/metadados-serie-historica-precos-combustiveis-1.pdf)"
   ]
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   "source": [
    "Temos as seguintes colunas nos arquivos CSV, em conformidade com a documentação de metadados:\n",
    "\n",
    "| Coluna            | Tipo    | Comentário                                                                           |\n",
    "| ----------------- | ------- | ------------------------------------------------------------------------------------ |\n",
    "| Regiao            | Texto   | Sigla da região do país (ex: S, N, SE)                                               |\n",
    "| Estado            | Texto   | Sigla de unidade federativa (ex: RJ, SP, MG)                                         |\n",
    "| Municipio         | Texto   | Nome de município                                                                    |\n",
    "| Revenda           | Texto   | Razão social do revendedor de combustível                                            |\n",
    "| CNPJ da Revenda   | Texto   | CNPJ do revendedor                                                                   |\n",
    "| Nome da Rua       | Texto   | Logradouro                                                                           |\n",
    "| Numero Rua        | Texto   | Logradouro                                                                           |\n",
    "| Complemento       | Texto   | Logradouro                                                                           |\n",
    "| Bairro            | Texto   | Logradouro                                                                           |\n",
    "| CEP               | Texto   | Código de Endereçamento Postal                                                       |\n",
    "| Produto           | Texto   | Produto combustível (ex: GASOLINA, ETANOL, DIESEL)                                   |\n",
    "| Data da Coleta    | Data    | Data da pesquisa de preço (formato dd/mm/aaaa)                                       |\n",
    "| Valor de Venda    | Decimal | Valor de venda da unidade de combustível (4 casas decimais, vírgula como separador)  |\n",
    "| Valor de Compra   | Decimal | Valor de compra da unidade de combustível (4 casas decimais, virgula como separador) |\n",
    "| Unidade de Medida | Texto   | Unidade ao qual os valores de compra e venda se referem (ex: R$ / litro)             |\n",
    "| Bandeira          | Texto   | Nome de marca do posto de revenda (ex: IPIRANGA, BRANCA, COSAN, etc.)                |\n"
   ]
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   "source": [
    "## Infraestrutura\n",
    "\n",
    "Aproveitando a configuração de cluster da Google Cloud Platform criada para o [projeto Hadoop](https://github.com/pinei/hadoop-precos-combustiveis), incluímos o JupyterLab para trabalhar com o PySpark.\n",
    "\n",
    "![cluster-info](./assets/cluster_info.png)\n",
    "\n",
    "O suporte ao Hive precisa de um bucket para funcionar em modo distribuído. O caminho para o bucket pode ser especificado em uma propriedade do cluster, antes da sua criação, conforme exemplo:\n",
    "\n",
    "```\n",
    "spark:spark.sql.warehouse.dir=gs://hadoop-stage/spark-warehouse\n",
    "```"
   ]
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   "source": [
    "Em paralelo usamos uma instalação em Raspberry Pi 4 para verificar a viabilidade e desempenho nesse tipo de hardware de baixo custo.\n",
    "\n",
    "- [Running PySpark in JupyterLab on a Raspberry Pi](https://dev.to/pinei/running-pyspark-in-jupyterlab-on-a-raspberry-pi-1293)\n",
    "\n",
    "Por rodar no modo standalone, vamos chamar este ambiente de \"máquina local\"."
   ]
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   "source": [
    "Em projeto anterior os arquivos CSV foram organizados em um bucket do Google Cloud Storage.\n",
    "\n",
    "> `https://console.cloud.google.com/storage/browser/hadoop-dados-brutos`\n",
    "\n",
    "No cluster Dataproc o Spark tem acesso padrão aos arquivos desse storage via URL `gs://hadoop-dados-brutos`, podendo inclusive fazer o processamento distribuído entre os nós."
   ]
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   "source": [
    "DATA_PATH = 'gs://hadoop-dados-brutos'"
   ]
  },
  {
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   "source": [
    "No Spark em máquina local, o suporte a conexão com o mesmo storage precisa de configuração adicional.\n",
    "\n",
    "- [How to fix \"No FileSystem for scheme: gs\" in pyspark?](https://stackoverflow.com/questions/55595263/how-to-fix-no-filesystem-for-scheme-gs-in-pyspark)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3b5e35ed-9168-43e5-b369-0eff087d202b",
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   "source": [
    "Quando executando fora da Google Cloud, o conector do Google precisa de uma chave para autenticação no serviço.\n",
    "\n",
    "Passo a passo para gerar a chave:\n",
    "- Console do Google Cloud Platform\n",
    "- APIs e Serviços > Credenciais\n",
    "- Criar Conta de Serviço\n",
    "- Criar Chave do tipo JSON\n",
    "\n",
    "> \"É feito o download de um arquivo contendo a chave privada. Armazene o arquivo com segurança porque essa chave não pode ser recuperada em caso de perda.\"\n",
    "\n",
    "Subimos o arquivo JSON para uma pasta de trabalho:\n",
    "\n",
    "> `/home/aldinei_bastos/work/seventh-abacus-395221-52fc140a5609.json`\n",
    "\n",
    "É necessário então localizar o JSON através de uma variável de ambiente `GOOGLE_APPLICATION_CREDENTIALS`"
   ]
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   "source": [
    "import os\n",
    "\n",
    "HOME_DIR = os.environ[\"HOME\"]\n",
    "os.environ[\"GOOGLE_APPLICATION_CREDENTIALS\"] = f'{HOME_DIR}/work/seventh-abacus-395221-52fc140a5609.json'"
   ]
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   "source": [
    "## Iniciando a sessão do Spark\n",
    "\n",
    "Inicializamos uma sessão do Spark com suporte ao Hive para gerenciamento de metadados das bases de dados.\n",
    "\n",
    "Também habilitamos o suporte ao sistema de arquivos do Google Cloud (para rodar em máquina local)."
   ]
  },
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   "source": [
    "from pyspark.sql import SparkSession\n",
    "\n",
    "spark = ( SparkSession\n",
    "    .builder\n",
    "    .appName(\"analise-dados\")\n",
    "    .config(\"spark.jars\", \"https://storage.googleapis.com/hadoop-lib/gcs/gcs-connector-hadoop3-latest.jar\")\n",
    "    .enableHiveSupport()\n",
    "    .getOrCreate() )\n",
    "\n",
    "spark._jsc.hadoopConfiguration().set('fs.gs.impl', 'com.google.cloud.hadoop.fs.gcs.GoogleHadoopFileSystem')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "2da1fc6d-1b77-4501-80d7-648bc523ab67",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "ivysettings.xml file not found in HIVE_HOME or HIVE_CONF_DIR,/etc/hive/conf.dist/ivysettings.xml will be used\n",
      "                                                                                \r"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[Database(name='default', description='Default Hive database', locationUri='gs://hadoop-dados-brutos/spark-warehouse'),\n",
       " Database(name='precos_anp', description='Base de dados de preços de combustíveis fornecidos pela ANP e alguns indicadores de mercado', locationUri='gs://hadoop-dados-brutos/spark-warehouse/precos_anp.db')]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "spark.catalog.listDatabases()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "edf99d92-6375-4481-a671-a836a6a322c3",
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   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+--------------+--------------------+\n",
      "|     info_name|          info_value|\n",
      "+--------------+--------------------+\n",
      "|  Catalog Name|       spark_catalog|\n",
      "|Namespace Name|          precos_anp|\n",
      "|       Comment|Base de dados de ...|\n",
      "|      Location|file:/home/jovyan...|\n",
      "|         Owner|              jovyan|\n",
      "+--------------+--------------------+\n",
      "\n"
     ]
    }
   ],
   "source": [
    "def create_database(name, comment):\n",
    "    spark.sql(f\"CREATE DATABASE IF NOT EXISTS {name} COMMENT '{comment}'\")\n",
    "    return spark.sql(f\"DESCRIBE DATABASE {name}\")\n",
    "\n",
    "metadata = create_database(\"precos_anp\", \"Base de dados de preços de combustíveis fornecidos pela ANP\")\n",
    "metadata.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6dad6011-a790-42aa-97b6-87dbc1500481",
   "metadata": {},
   "source": [
    "## Ingestão\n",
    "\n",
    "Definimos o schema para leitura dos arquivos CSV."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
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    {
     "data": {
      "text/plain": [
       "22645940"
      ]
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     "execution_count": 4,
     "metadata": {},
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    }
   ],
   "source": [
    "from pyspark.sql.types import StructType, StructField, StringType, DateType, DecimalType\n",
    "\n",
    "schema = StructType([\n",
    "    StructField(\"Regiao\", StringType(), True),\n",
    "    StructField(\"Estado\", StringType(), True),\n",
    "    StructField(\"Municipio\", StringType(), True),\n",
    "    StructField(\"Revenda\", StringType(), True),\n",
    "    StructField(\"CNPJ da Revenda\", StringType(), True),\n",
    "    StructField(\"Nome da Rua\", StringType(), True),\n",
    "    StructField(\"Numero Rua\", StringType(), True),\n",
    "    StructField(\"Complemento\", StringType(), True),\n",
    "    StructField(\"Bairro\", StringType(), True),\n",
    "    StructField(\"CEP\", StringType(), True),\n",
    "    StructField(\"Produto\", StringType(), True),\n",
    "    StructField(\"Data da Coleta\", DateType(), True),\n",
    "    StructField(\"Valor de Venda\", DecimalType(10, 4), True),\n",
    "    StructField(\"Valor de Compra\", DecimalType(10, 4), True),\n",
    "    StructField(\"Unidade de Medida\", StringType(), True),\n",
    "    StructField(\"Bandeira\", StringType(), True)\n",
    "])\n",
    "\n",
    "df_csv = spark.read.csv(f\"{DATA_PATH}/anp-combustiveis-automotivos/ca-*.csv\",\n",
    "                    header=True,\n",
    "                    schema=schema,\n",
    "                    sep=';',\n",
    "                    multiLine=True,\n",
    "                    quote='\"',\n",
    "                    dateFormat=\"dd/MM/yyyy\",\n",
    "                    locale='pt-BR')\n",
    "df_csv.count()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "759f5f61-4099-498d-9cc2-38a8035da168",
   "metadata": {},
   "source": [
    "Criamos uma tabela gerenciada e populamos com os dados do dataframe carregado"
   ]
  },
  {
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   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DataFrame[regiao: string, estado: string, municipio: string, revenda: string, cnpj_revenda: string, endereco_rua: string, endereco_numero: string, endereco_complemento: string, endereco_bairro: string, endereco_cep: string, produto: string, data: date, valor_venda: decimal(10,4), valor_compra: decimal(10,4), unidade_medida: string, bandeira: string, mes: string]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "spark.sql(\"\"\"\n",
    "    CREATE TABLE IF NOT EXISTS precos_anp.combustiveis_automotivos (\n",
    "      regiao STRING,\n",
    "      estado STRING,\n",
    "      municipio STRING,\n",
    "      revenda STRING,\n",
    "      cnpj_revenda STRING,\n",
    "      endereco_rua STRING,\n",
    "      endereco_numero STRING,\n",
    "      endereco_complemento STRING,\n",
    "      endereco_bairro STRING,\n",
    "      endereco_cep STRING,\n",
    "      mes STRING,\n",
    "      data DATE,\n",
    "      valor_venda DECIMAL(10,4),  -- Tipo decimal com até 4 casas decimais\n",
    "      valor_compra DECIMAL(10,4),  -- Tipo decimal com até 4 casas decimais\n",
    "      unidade_medida STRING,\n",
    "      bandeira STRING\n",
    "    )\n",
    "    PARTITIONED BY (produto STRING)\n",
    "    CLUSTERED BY (mes) INTO 8 BUCKETS\n",
    "\"\"\")\n",
    "\n",
    "# Checando\n",
    "spark.table('precos_anp.combustiveis_automotivos')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
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   "outputs": [],
   "source": [
    "from pyspark.sql import functions as F\n",
    "\n",
    "df_ca = (\n",
    "    df_csv.select(\n",
    "        F.column(\"Regiao\").alias(\"regiao\"),\n",
    "        F.column(\"Estado\").alias(\"estado\"),\n",
    "        F.column(\"Municipio\").alias(\"municipio\"),\n",
    "        F.column(\"Revenda\").alias(\"revenda\"),\n",
    "        F.column(\"CNPJ da Revenda\").alias(\"cnpj_revenda\"),\n",
    "        F.column(\"Nome da Rua\").alias(\"endereco_rua\"),\n",
    "        F.column(\"Numero Rua\").alias(\"endereco_numero\"),\n",
    "        F.column(\"Complemento\").alias(\"endereco_complemento\"),\n",
    "        F.column(\"Bairro\").alias(\"endereco_bairro\"),\n",
    "        F.column(\"CEP\").alias(\"endereco_cep\"),\n",
    "        F.column(\"Produto\").alias(\"produto\"),\n",
    "        F.column(\"Data da Coleta\").alias(\"data\"),\n",
    "        F.column(\"Valor de Venda\").alias(\"valor_venda\"),\n",
    "        F.column(\"Valor de Compra\").alias(\"valor_compra\"),\n",
    "        F.column(\"Unidade de Medida\").alias(\"unidade_medida\"),\n",
    "        F.column(\"Bandeira\").alias(\"bandeira\")\n",
    "    )\n",
    "    .withColumn(\"mes\", F.date_format(\"data\", \"yyyy-MM\"))\n",
    "    .filter(F.col(\"produto\").isin('DIESEL S10', 'DIESEL', 'ETANOL', 'GNV', 'GASOLINA', 'DIESEL S50', 'GASOLINA ADITIVADA'))\n",
    ")\n",
    "\n",
    "df_ca.write.mode(\"overwrite\").saveAsTable(\"precos_anp.combustiveis_automotivos\")"
   ]
  },
  {
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   "metadata": {},
   "source": [
    "Verificando arquivos gerados quando executando em máquina local\n",
    "\n",
    "```\n",
    "(base) jovyan@7922d9ed0594:~/pyspark-precos-combustiveis/spark-warehouse/precos_anp.db/combustiveis_automotivos$ ls -lh1\n",
    "total 320M\n",
    "13M part-00000-ffdc619c-714c-4fb7-9fc7-dbfbffdaca93-c000.snappy.parquet\n",
    "13M part-00001-ffdc619c-714c-4fb7-9fc7-dbfbffdaca93-c000.snappy.parquet\n",
    "13M part-00002-ffdc619c-714c-4fb7-9fc7-dbfbffdaca93-c000.snappy.parquet\n",
    "13M part-00003-ffdc619c-714c-4fb7-9fc7-dbfbffdaca93-c000.snappy.parquet\n",
    "12M part-00004-ffdc619c-714c-4fb7-9fc7-dbfbffdaca93-c000.snappy.parquet\n",
    "11M part-00005-ffdc619c-714c-4fb7-9fc7-dbfbffdaca93-c000.snappy.parquet\n",
    "10M part-00006-ffdc619c-714c-4fb7-9fc7-dbfbffdaca93-c000.snappy.parquet\n",
    "9.8M part-00007-ffdc619c-714c-4fb7-9fc7-dbfbffdaca93-c000.snappy.parquet\n",
    "9.8M part-00008-ffdc619c-714c-4fb7-9fc7-dbfbffdaca93-c000.snappy.parquet\n",
    "6.8M part-00009-ffdc619c-714c-4fb7-9fc7-dbfbffdaca93-c000.snappy.parquet\n",
    "9.6M part-00010-ffdc619c-714c-4fb7-9fc7-dbfbffdaca93-c000.snappy.parquet\n",
    "9.5M part-00011-ffdc619c-714c-4fb7-9fc7-dbfbffdaca93-c000.snappy.parquet\n",
    "9.5M part-00012-ffdc619c-714c-4fb7-9fc7-dbfbffdaca93-c000.snappy.parquet\n",
    "9.4M part-00013-ffdc619c-714c-4fb7-9fc7-dbfbffdaca93-c000.snappy.parquet\n",
    "9.6M part-00014-ffdc619c-714c-4fb7-9fc7-dbfbffdaca93-c000.snappy.parquet\n",
    "9.2M part-00015-ffdc619c-714c-4fb7-9fc7-dbfbffdaca93-c000.snappy.parquet\n",
    "9.1M part-00016-ffdc619c-714c-4fb7-9fc7-dbfbffdaca93-c000.snappy.parquet\n",
    "9.3M part-00017-ffdc619c-714c-4fb7-9fc7-dbfbffdaca93-c000.snappy.parquet\n",
    "9.1M part-00018-ffdc619c-714c-4fb7-9fc7-dbfbffdaca93-c000.snappy.parquet\n",
    "9.1M part-00019-ffdc619c-714c-4fb7-9fc7-dbfbffdaca93-c000.snappy.parquet\n",
    "8.9M part-00020-ffdc619c-714c-4fb7-9fc7-dbfbffdaca93-c000.snappy.parquet\n",
    "6.8M part-00021-ffdc619c-714c-4fb7-9fc7-dbfbffdaca93-c000.snappy.parquet\n",
    "7.4M part-00022-ffdc619c-714c-4fb7-9fc7-dbfbffdaca93-c000.snappy.parquet\n",
    "7.4M part-00023-ffdc619c-714c-4fb7-9fc7-dbfbffdaca93-c000.snappy.parquet\n",
    "7.1M part-00024-ffdc619c-714c-4fb7-9fc7-dbfbffdaca93-c000.snappy.parquet\n",
    "7.3M part-00025-ffdc619c-714c-4fb7-9fc7-dbfbffdaca93-c000.snappy.parquet\n",
    "7.0M part-00026-ffdc619c-714c-4fb7-9fc7-dbfbffdaca93-c000.snappy.parquet\n",
    "7.0M part-00027-ffdc619c-714c-4fb7-9fc7-dbfbffdaca93-c000.snappy.parquet\n",
    "6.9M part-00028-ffdc619c-714c-4fb7-9fc7-dbfbffdaca93-c000.snappy.parquet\n",
    "7.2M part-00029-ffdc619c-714c-4fb7-9fc7-dbfbffdaca93-c000.snappy.parquet\n",
    "6.8M part-00030-ffdc619c-714c-4fb7-9fc7-dbfbffdaca93-c000.snappy.parquet\n",
    "6.3M part-00031-ffdc619c-714c-4fb7-9fc7-dbfbffdaca93-c000.snappy.parquet\n",
    "5.5M part-00032-ffdc619c-714c-4fb7-9fc7-dbfbffdaca93-c000.snappy.parquet\n",
    "6.1M part-00033-ffdc619c-714c-4fb7-9fc7-dbfbffdaca93-c000.snappy.parquet\n",
    "9.6M part-00034-ffdc619c-714c-4fb7-9fc7-dbfbffdaca93-c000.snappy.parquet\n",
    "8.8M part-00035-ffdc619c-714c-4fb7-9fc7-dbfbffdaca93-c000.snappy.parquet\n",
    "3.4M part-00036-ffdc619c-714c-4fb7-9fc7-dbfbffdaca93-c000.snappy.parquet\n",
    "0 _SUCCESS\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "a2632864-2e98-43b5-862d-66916acb202d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-10-15T18:28:00.912045Z",
     "iopub.status.busy": "2023-10-15T18:28:00.910267Z",
     "iopub.status.idle": "2023-10-15T18:28:05.281768Z",
     "shell.execute_reply": "2023-10-15T18:28:05.275339Z",
     "shell.execute_reply.started": "2023-10-15T18:28:00.911885Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+------------------+-------+\n",
      "|           produto|  count|\n",
      "+------------------+-------+\n",
      "|        DIESEL S10|1978185|\n",
      "|            DIESEL|5406872|\n",
      "|            ETANOL|6896581|\n",
      "|               GNV| 435900|\n",
      "|          GASOLINA|7457216|\n",
      "|        DIESEL S50|  44495|\n",
      "|GASOLINA ADITIVADA| 426690|\n",
      "+------------------+-------+\n",
      "\n"
     ]
    }
   ],
   "source": [
    "df_grouped = spark.table(\"precos_anp.combustiveis_automotivos\").groupBy(\"produto\").count()\n",
    "\n",
    "df_grouped.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "22db00db-50be-4faf-a92a-b1c240640638",
   "metadata": {},
   "source": [
    "Como segunda tabela de dados, coletamos a série histórica mensal dos preços de distribuição de combustíveis líquidos, com dados desde 2020/09.\n",
    "\n",
    "- [Preços de distribuição de combustíveis](https://www.gov.br/anp/pt-br/assuntos/precos-e-defesa-da-concorrencia/precos/precos-de-distribuicao-de-combustiveis)\n",
    "\n",
    "Uma amostra dos dados:\n",
    "\n",
    "![Dados de distribuição](./assets/amostra_planilha_distribuicao.png)\n",
    "\n",
    "O arquivo está disponível no bucket de dados brutos, com o nome `combustiveis-liquidos-municipios.csv`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "6f03fdef-8db2-4887-8755-2485abde0734",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-10-15T18:28:12.094862Z",
     "iopub.status.busy": "2023-10-15T18:28:12.092508Z",
     "iopub.status.idle": "2023-10-15T18:28:15.568631Z",
     "shell.execute_reply": "2023-10-15T18:28:15.564204Z",
     "shell.execute_reply.started": "2023-10-15T18:28:12.094679Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "80327"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from pyspark.sql.types import StructType, StructField, StringType, DateType, DecimalType\n",
    "\n",
    "schema = StructType([\n",
    "    StructField(\"MÊS\", StringType(), True),\n",
    "    StructField(\"PRODUTO\", StringType(), True),\n",
    "    StructField(\"REGIÃO\", StringType(), True),\n",
    "    StructField(\"ESTADO\", StringType(), True),\n",
    "    StructField(\"MUNICÍPIO\", StringType(), True),\n",
    "    StructField(\"UNIDADE\", StringType(), True),\n",
    "    StructField(\"PREÇO MÉDIO DE DISTRIBUIÇÃO\", DecimalType(10, 4), True),\n",
    "    StructField(\"DESVIO PADRÃO\", DecimalType(10, 4), True)\n",
    "])\n",
    "\n",
    "df_csv = spark.read.csv(f\"{DATA_PATH}/anp-combustiveis-automotivos/combustiveis-liquidos-municipios.csv\",\n",
    "                    header=True,\n",
    "                    schema=schema,\n",
    "                    sep=';',\n",
    "                    multiLine=True,\n",
    "                    quote='\"',\n",
    "                    dateFormat=\"dd/MM/yyyy\",\n",
    "                    locale='pt-BR')\n",
    "df_csv.count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "d0efab5a-7fd9-471d-90d3-59c9d8d4d253",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-10-15T18:28:27.769619Z",
     "iopub.status.busy": "2023-10-15T18:28:27.767961Z",
     "iopub.status.idle": "2023-10-15T18:28:28.085723Z",
     "shell.execute_reply": "2023-10-15T18:28:28.081835Z",
     "shell.execute_reply.started": "2023-10-15T18:28:27.769534Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "root\n",
      " |-- mes: string (nullable = true)\n",
      " |-- produto: string (nullable = true)\n",
      " |-- regiao: string (nullable = true)\n",
      " |-- estado: string (nullable = true)\n",
      " |-- municipio: string (nullable = true)\n",
      " |-- unidade_medida: string (nullable = true)\n",
      " |-- preco_medio: decimal(10,4) (nullable = true)\n",
      " |-- desvio_padrao: decimal(10,4) (nullable = true)\n",
      "\n"
     ]
    }
   ],
   "source": [
    "spark.sql(\"\"\"\n",
    "    CREATE TABLE IF NOT EXISTS precos_anp.distribuicao_combustiveis (\n",
    "      mes STRING,\n",
    "      produto STRING,\n",
    "      regiao STRING,\n",
    "      estado STRING,\n",
    "      municipio STRING,\n",
    "      unidade_medida STRING,\n",
    "      preco_medio DECIMAL(10,4),\n",
    "      desvio_padrao DECIMAL(10,4)\n",
    "    )\n",
    "\"\"\")\n",
    "\n",
    "# Checando\n",
    "spark.table('precos_anp.distribuicao_combustiveis').printSchema()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f83531d5-2979-4356-8327-e9b14b921240",
   "metadata": {},
   "source": [
    "Para ingestão na nossa base, fizemos uma tradução dos dados para compatibilizar com a tabela de `combustiveis_automotivos`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "df091771-f28a-4ed8-ab93-6fdb8c9beafc",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-10-15T18:28:36.305538Z",
     "iopub.status.busy": "2023-10-15T18:28:36.304583Z",
     "iopub.status.idle": "2023-10-15T18:28:44.203275Z",
     "shell.execute_reply": "2023-10-15T18:28:44.198446Z",
     "shell.execute_reply.started": "2023-10-15T18:28:36.305456Z"
    }
   },
   "outputs": [],
   "source": [
    "from pyspark.sql import functions as F\n",
    "\n",
    "df_dc = (\n",
    "    df_csv.select(\n",
    "        F.column(\"MÊS\").alias(\"mes\"),\n",
    "        F.column(\"PRODUTO\").alias(\"produto\"),\n",
    "        F.column(\"REGIÃO\").alias(\"regiao\"),\n",
    "        F.column(\"ESTADO\").alias(\"estado\"),\n",
    "        F.column(\"MUNICÍPIO\").alias(\"municipio\"),\n",
    "        F.column(\"UNIDADE\").alias(\"unidade_medida\"),\n",
    "        F.column(\"PREÇO MÉDIO DE DISTRIBUIÇÃO\").alias(\"preco_medio\"),\n",
    "        F.column(\"DESVIO PADRÃO\").alias(\"desvio_padrao\")\n",
    "    )\n",
    "    .withColumn(\"produto\",\n",
    "        F.when(F.col(\"produto\") == 'ETANOL HIDRATADO COMUM', 'ETANOL')\n",
    "         .when(F.col(\"produto\") == 'GASOLINA C COMUM', 'GASOLINA')\n",
    "         .when(F.col(\"produto\") == 'GASOLINA C COMUM ADITIVADA', 'GASOLINA ADITIVADA')\n",
    "         .when(F.col(\"produto\") == 'ÓLEO DIESEL B S10 - COMUM', 'DIESEL S10')\n",
    "         .when(F.col(\"produto\") == 'ÓLEO DIESEL B S500 - COMUM', 'DIESEL S500')\n",
    "         .otherwise(None).alias('produto'))\n",
    "    .withColumn(\"regiao\",\n",
    "        F.when(F.col(\"regiao\") == 'CENTRO OESTE', 'CO')\n",
    "         .when(F.col(\"regiao\") == 'NORDESTE', 'NE')\n",
    "         .when(F.col(\"regiao\") == 'NORTE', 'N')\n",
    "         .when(F.col(\"regiao\") == 'SUDESTE', 'SE')\n",
    "         .when(F.col(\"regiao\") == 'SUL', 'S')\n",
    "         .otherwise(None).alias('regiao'))\n",
    "    .withColumn(\"estado\",\n",
    "        F.when(F.col(\"estado\") == 'ACRE', 'AC')\n",
    "         .when(F.col(\"estado\") == 'ALAGOAS', 'AL')\n",
    "         .when(F.col(\"estado\") == 'AMAZONAS', 'AM')\n",
    "         .when(F.col(\"estado\") == 'AMAPA', 'AP')\n",
    "         .when(F.col(\"estado\") == 'BAHIA', 'BA')\n",
    "         .when(F.col(\"estado\") == 'CEARA', 'CE')\n",
    "         .when(F.col(\"estado\") == 'DISTRITO FEDERAL', 'DF')\n",
    "         .when(F.col(\"estado\") == 'ESPIRITO SANTO', 'ES')\n",
    "         .when(F.col(\"estado\") == 'GOIAS', 'GO')\n",
    "         .when(F.col(\"estado\") == 'MARANHAO', 'MA')\n",
    "         .when(F.col(\"estado\") == 'MINAS GERAIS', 'MG')\n",
    "         .when(F.col(\"estado\") == 'MATO GROSSO DO SUL', 'MS')\n",
    "         .when(F.col(\"estado\") == 'MATO GROSSO', 'MT')\n",
    "         .when(F.col(\"estado\") == 'PARA', 'PA')\n",
    "         .when(F.col(\"estado\") == 'PARAIBA', 'PB')\n",
    "         .when(F.col(\"estado\") == 'PERNAMBUCO', 'PE')\n",
    "         .when(F.col(\"estado\") == 'PIAUI', 'PI')\n",
    "         .when(F.col(\"estado\") == 'PARANA', 'PR')\n",
    "         .when(F.col(\"estado\") == 'RIO DE JANEIRO', 'RJ')\n",
    "         .when(F.col(\"estado\") == 'RIO GRANDE DO NORTE', 'RN')\n",
    "         .when(F.col(\"estado\") == 'RONDONIA', 'RO')\n",
    "         .when(F.col(\"estado\") == 'RORAIMA', 'RR')\n",
    "         .when(F.col(\"estado\") == 'RIO GRANDE DO SUL', 'RS')\n",
    "         .when(F.col(\"estado\") == 'SANTA CATARINA', 'SC')\n",
    "         .when(F.col(\"estado\") == 'SERGIPE', 'SE')\n",
    "         .when(F.col(\"estado\") == 'SAO PAULO', 'SP')\n",
    "         .when(F.col(\"estado\") == 'TOCANTINS', 'TO')\n",
    "         .otherwise(None).alias('estado'))\n",
    "    .filter((F.trim(F.col(\"preco_medio\")) != '') & (F.trim(F.col(\"preco_medio\")) != '-'))\n",
    ")\n",
    "\n",
    "df_dc.write.mode(\"overwrite\").saveAsTable(\"precos_anp.distribuicao_combustiveis\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "22bb798d-af6a-443c-bf15-dbea86054e10",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-10-15T18:28:44.210918Z",
     "iopub.status.busy": "2023-10-15T18:28:44.209699Z",
     "iopub.status.idle": "2023-10-15T18:28:45.393220Z",
     "shell.execute_reply": "2023-10-15T18:28:45.388682Z",
     "shell.execute_reply.started": "2023-10-15T18:28:44.210770Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+------------------+-----+\n",
      "|           produto|count|\n",
      "+------------------+-----+\n",
      "|        DIESEL S10|16062|\n",
      "|GASOLINA ADITIVADA|16056|\n",
      "|       DIESEL S500|15246|\n",
      "|            ETANOL|15892|\n",
      "|          GASOLINA|16065|\n",
      "+------------------+-----+\n",
      "\n"
     ]
    }
   ],
   "source": [
    "df_grouped = spark.table(\"precos_anp.distribuicao_combustiveis\").groupBy(\"produto\").count()\n",
    "\n",
    "df_grouped.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5778f52d-ee59-4c8d-86c4-293f5216ea3e",
   "metadata": {},
   "source": [
    "Visando fazer análises comparativas e preditivas, estamos incluindo no nosso repositório os índices de preços do petróleo no mercado mundial.\n",
    "\n",
    "- [West Texas Intermediate (WTI)](https://fred.stlouisfed.org/series/DCOILWTICO) de 2003 a 2023 (em dólares)\n",
    "- [Crude Oil Prices: Brent - Europe](https://fred.stlouisfed.org/series/DCOILBRENTEU) de 2003 a 2023 (em dólares)\n",
    "- [OPEC Basket Price](https://www.opec.org/opec_web/en/data_graphs/40.htm) de 2003 a 2023 (em dólares)\n",
    "\n",
    "E o valor de conversão entre Dolar e Real\n",
    "\n",
    "- [BRL/USD](https://br.investing.com/currencies/usd-brl-historical-data) de 2003 a 2023"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "57ef7fa9-378f-4a79-94ac-ce84031b9d42",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-10-15T18:29:23.506477Z",
     "iopub.status.busy": "2023-10-15T18:29:23.505535Z",
     "iopub.status.idle": "2023-10-15T18:29:23.905662Z",
     "shell.execute_reply": "2023-10-15T18:29:23.901666Z",
     "shell.execute_reply.started": "2023-10-15T18:29:23.506396Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+--------------+--------------------+\n",
      "|     info_name|          info_value|\n",
      "+--------------+--------------------+\n",
      "|  Catalog Name|       spark_catalog|\n",
      "|Namespace Name|          precos_mkt|\n",
      "|       Comment|Base de dados de ...|\n",
      "|      Location|file:/home/jovyan...|\n",
      "|         Owner|              jovyan|\n",
      "+--------------+--------------------+\n",
      "\n"
     ]
    }
   ],
   "source": [
    "metadata = create_database(\"precos_mkt\", \"Base de dados de preços e indices de mercado\")\n",
    "metadata.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "39ba96a9-4f84-4362-b7b3-77c14d30430d",
   "metadata": {},
   "source": [
    "No `DCOILWTICO.csv` temos as informações de data (yyyy-mm-dd) e preço do índice WTI.\n",
    "\n",
    "> WTI é a sigla para West Texas Intermediate, petróleo bruto produzido na principal região petrolífera dos EUA."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "96ee6a0c-7ef5-44ba-9371-9529051922ec",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-10-15T18:29:27.656101Z",
     "iopub.status.busy": "2023-10-15T18:29:27.655090Z",
     "iopub.status.idle": "2023-10-15T18:29:31.499272Z",
     "shell.execute_reply": "2023-10-15T18:29:31.493746Z",
     "shell.execute_reply.started": "2023-10-15T18:29:27.656021Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Records: 5417\n",
      "+----------+----------+\n",
      "|      DATE|DCOILWTICO|\n",
      "+----------+----------+\n",
      "|2003-01-06|     32.29|\n",
      "|2003-01-07|     31.20|\n",
      "|2003-01-08|     30.66|\n",
      "|2003-01-09|     31.95|\n",
      "|2003-01-10|     31.59|\n",
      "|2003-01-13|     32.08|\n",
      "|2003-01-14|     32.42|\n",
      "|2003-01-15|     33.23|\n",
      "|2003-01-16|     33.58|\n",
      "|2003-01-17|     33.88|\n",
      "|2003-01-20|      NULL|\n",
      "|2003-01-21|     34.62|\n",
      "|2003-01-22|     34.32|\n",
      "|2003-01-23|     33.90|\n",
      "|2003-01-24|     34.98|\n",
      "|2003-01-27|     32.43|\n",
      "|2003-01-28|     32.70|\n",
      "|2003-01-29|     33.54|\n",
      "|2003-01-30|     33.78|\n",
      "|2003-01-31|     33.51|\n",
      "+----------+----------+\n",
      "only showing top 20 rows\n",
      "\n"
     ]
    }
   ],
   "source": [
    "from pyspark.sql.types import StructType, StructField, StringType, DateType, DecimalType\n",
    "\n",
    "schema = StructType([\n",
    "    StructField(\"DATE\", DateType(), True),\n",
    "    StructField(\"DCOILWTICO\", DecimalType(6,2), True),\n",
    "])\n",
    "\n",
    "df_csv = spark.read.csv(f\"{DATA_PATH}/crude-oil/DCOILWTICO.csv\",\n",
    "                    header=True,\n",
    "                    schema=schema,\n",
    "                    dateFormat=\"yyyy-MM-dd\")\n",
    "\n",
    "print(f\"Records: {df_csv.count()}\")\n",
    "\n",
    "df_csv.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "3023a56e-1ef6-44d2-a76d-3f06482e1eec",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-10-15T18:29:35.301911Z",
     "iopub.status.busy": "2023-10-15T18:29:35.298234Z",
     "iopub.status.idle": "2023-10-15T18:29:39.717868Z",
     "shell.execute_reply": "2023-10-15T18:29:39.709807Z",
     "shell.execute_reply.started": "2023-10-15T18:29:35.301726Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Records: 5213\n",
      "+---------+------------+-------+\n",
      "| col_name|   data_type|comment|\n",
      "+---------+------------+-------+\n",
      "|     data|        date|   NULL|\n",
      "|preco_wti|decimal(6,2)|   NULL|\n",
      "+---------+------------+-------+\n",
      "\n"
     ]
    }
   ],
   "source": [
    "from pyspark.sql import functions as F\n",
    "\n",
    "df_wti = (\n",
    "    df_csv.select(\n",
    "        F.column(\"DATE\").alias(\"data\"),\n",
    "        F.column(\"DCOILWTICO\").alias(\"preco_wti\")\n",
    "    )\n",
    "    .filter(F.col(\"preco_wti\").isNotNull() & ( F.col(\"preco_wti\") > F.lit(0) ) )\n",
    ")\n",
    "\n",
    "print(f\"Records: {df_wti.count()}\")\n",
    "\n",
    "df_wti.write.mode(\"overwrite\").saveAsTable(\"precos_mkt.wti\")\n",
    "\n",
    "spark.sql(\"describe table precos_mkt.wti\").show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8983d281-5ee2-4398-8a7f-5894a8129f44",
   "metadata": {},
   "source": [
    "NO `DCOILBRENTEU.csv` temos as informações de data (yyyy-mm-dd) e preço do índice BRENT.\n",
    "\n",
    "> Brent designa todo o petróleo extraído no Mar do Norte e comercializado na Bolsa de Londres. A cotação do petróleo Brent é referência para os mercados europeu e asiático. A cotação do mercado nos afeta diretamente, influenciando no preço de seus derivados como óleo diesel e a gasolina."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "c18d2b3e-d114-4c9f-b4ce-7d7fabd9857e",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-10-15T18:29:41.351943Z",
     "iopub.status.busy": "2023-10-15T18:29:41.350933Z",
     "iopub.status.idle": "2023-10-15T18:29:45.601717Z",
     "shell.execute_reply": "2023-10-15T18:29:45.596620Z",
     "shell.execute_reply.started": "2023-10-15T18:29:41.351860Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Records: 5419\n",
      "+----------+------------+\n",
      "|      DATE|DCOILBRENTEU|\n",
      "+----------+------------+\n",
      "|2003-01-02|       30.32|\n",
      "|2003-01-03|       31.43|\n",
      "|2003-01-06|       31.43|\n",
      "|2003-01-07|       30.78|\n",
      "|2003-01-08|       29.30|\n",
      "|2003-01-09|       30.26|\n",
      "|2003-01-10|       30.07|\n",
      "|2003-01-13|       30.46|\n",
      "|2003-01-14|       31.36|\n",
      "|2003-01-15|       31.73|\n",
      "|2003-01-16|       32.29|\n",
      "|2003-01-17|       31.57|\n",
      "|2003-01-20|       32.23|\n",
      "|2003-01-21|       31.72|\n",
      "|2003-01-22|       32.07|\n",
      "|2003-01-23|       31.40|\n",
      "|2003-01-24|       31.62|\n",
      "|2003-01-27|       31.02|\n",
      "|2003-01-28|       30.73|\n",
      "|2003-01-29|       31.26|\n",
      "+----------+------------+\n",
      "only showing top 20 rows\n",
      "\n"
     ]
    }
   ],
   "source": [
    "from pyspark.sql.types import StructType, StructField, StringType, DateType, DecimalType\n",
    "\n",
    "schema = StructType([\n",
    "    StructField(\"DATE\", DateType(), True),\n",
    "    StructField(\"DCOILBRENTEU\", DecimalType(6,2), True),\n",
    "])\n",
    "\n",
    "df_csv = spark.read.csv(f\"{DATA_PATH}/crude-oil/DCOILBRENTEU.csv\",\n",
    "                    header=True,\n",
    "                    schema=schema,\n",
    "                    dateFormat=\"yyyy-MM-dd\")\n",
    "\n",
    "print(f\"Records: {df_csv.count()}\")\n",
    "\n",
    "df_csv.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "9c95b167-fe47-4937-8d96-8d059cb3d135",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-10-15T18:29:45.616303Z",
     "iopub.status.busy": "2023-10-15T18:29:45.611567Z",
     "iopub.status.idle": "2023-10-15T18:29:49.568818Z",
     "shell.execute_reply": "2023-10-15T18:29:49.565366Z",
     "shell.execute_reply.started": "2023-10-15T18:29:45.616114Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Records: 5271\n",
      "+-----------+------------+-------+\n",
      "|   col_name|   data_type|comment|\n",
      "+-----------+------------+-------+\n",
      "|       data|        date|   NULL|\n",
      "|preco_brent|decimal(6,2)|   NULL|\n",
      "+-----------+------------+-------+\n",
      "\n"
     ]
    }
   ],
   "source": [
    "from pyspark.sql import functions as F\n",
    "\n",
    "df_brent = (\n",
    "    df_csv.select(\n",
    "        F.column(\"DATE\").alias(\"data\"),\n",
    "        F.column(\"DCOILBRENTEU\").alias(\"preco_brent\")\n",
    "    )\n",
    "    .filter(F.col(\"preco_brent\").isNotNull())\n",
    ")\n",
    "\n",
    "print(f\"Records: {df_brent.count()}\")\n",
    "\n",
    "df_brent.write.mode(\"overwrite\").saveAsTable(\"precos_mkt.brent\")\n",
    "\n",
    "spark.sql(\"describe table precos_mkt.brent\").show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "baa9cac9-cdcf-415c-b0fd-583afd30108f",
   "metadata": {},
   "source": [
    "No `OPEC_Basket_Price_Transformed.json` temos as informações de data (yyyy-mm-dd) e preço da OPEP.\n",
    "\n",
    "É derivado de preços de petróleo dos países que compõem a OPEP."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "25a9f54d-82cd-4e14-addc-efd6c76434d1",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-10-15T18:29:52.667231Z",
     "iopub.status.busy": "2023-10-15T18:29:52.666266Z",
     "iopub.status.idle": "2023-10-15T18:29:56.934834Z",
     "shell.execute_reply": "2023-10-15T18:29:56.930776Z",
     "shell.execute_reply.started": "2023-10-15T18:29:52.667115Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Records: 5360\n",
      "+----------+-----+\n",
      "|      date|value|\n",
      "+----------+-----+\n",
      "|2003-01-02|30.05|\n",
      "|2003-01-03|30.83|\n",
      "|2003-01-06|30.71|\n",
      "|2003-01-07|29.72|\n",
      "|2003-01-08|28.86|\n",
      "|2003-01-09|29.51|\n",
      "|2003-01-10|29.82|\n",
      "|2003-01-13|29.82|\n",
      "|2003-01-14|30.21|\n",
      "|2003-01-15|30.66|\n",
      "|2003-01-16|30.87|\n",
      "|2003-01-17|31.02|\n",
      "|2003-01-20|31.21|\n",
      "|2003-01-21|30.90|\n",
      "|2003-01-22|30.89|\n",
      "|2003-01-23|30.18|\n",
      "|2003-01-24|30.56|\n",
      "|2003-01-27|30.16|\n",
      "|2003-01-28|29.83|\n",
      "|2003-01-29|30.30|\n",
      "+----------+-----+\n",
      "only showing top 20 rows\n",
      "\n"
     ]
    }
   ],
   "source": [
    "from pyspark.sql.types import StructType, StructField, StringType, DateType, DecimalType\n",
    "\n",
    "schema = StructType([\n",
    "    StructField(\"date\", DateType(), True),\n",
    "    StructField(\"value\", DecimalType(6,2), True),\n",
    "])\n",
    "\n",
    "df_json = spark.read.option(\"multiline\",\"true\").json(f\"{DATA_PATH}/crude-oil/OPEC_Basket_Price_Transformed.json\", schema=schema).cache()\n",
    "\n",
    "print(f\"Records: {df_json.count()}\")\n",
    "\n",
    "df_json.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "228997c8-1c32-4904-b0ce-c4f03d5e4a54",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-10-15T18:29:56.945353Z",
     "iopub.status.busy": "2023-10-15T18:29:56.942392Z",
     "iopub.status.idle": "2023-10-15T18:29:59.110277Z",
     "shell.execute_reply": "2023-10-15T18:29:59.103264Z",
     "shell.execute_reply.started": "2023-10-15T18:29:56.945070Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Records: 5360\n",
      "+----------+------------+-------+\n",
      "|  col_name|   data_type|comment|\n",
      "+----------+------------+-------+\n",
      "|      data|        date|   NULL|\n",
      "|preco_opep|decimal(6,2)|   NULL|\n",
      "+----------+------------+-------+\n",
      "\n"
     ]
    }
   ],
   "source": [
    "from pyspark.sql import functions as F\n",
    "\n",
    "df_opep = (\n",
    "    df_json.select(\n",
    "        F.column(\"date\").alias(\"data\"),\n",
    "        F.column(\"value\").alias(\"preco_opep\")\n",
    "    )\n",
    "    .filter(F.col(\"preco_opep\").isNotNull())\n",
    ")\n",
    "\n",
    "print(f\"Records: {df_opep.count()}\")\n",
    "\n",
    "df_opep.write.mode(\"overwrite\").saveAsTable(\"precos_mkt.opep\")\n",
    "\n",
    "spark.sql(\"describe table precos_mkt.opep\").show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a71c1e75-0391-4fef-b62b-3163c9b8c774",
   "metadata": {},
   "source": [
    "Uma análise gráfica mostra que os preços tem comportamento semelhante ao longo do tempo."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "8714bcea-08df-4a7a-84be-128a3d3402e9",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-10-15T18:30:22.525067Z",
     "iopub.status.busy": "2023-10-15T18:30:22.522980Z",
     "iopub.status.idle": "2023-10-15T18:30:34.736974Z",
     "shell.execute_reply": "2023-10-15T18:30:34.734132Z",
     "shell.execute_reply.started": "2023-10-15T18:30:22.524897Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x1500 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "df1 = df_brent.toPandas()\n",
    "df2 = df_wti.toPandas()\n",
    "df3 = df_opep.toPandas()\n",
    "\n",
    "fig, axs = plt.subplots(3, 1, figsize=(10, 15))\n",
    "\n",
    "axs[0].plot(df1['data'], df1['preco_brent'], label='BRENT', color='blue')\n",
    "axs[0].set_title('Preço Diário BRENT')\n",
    "axs[0].set_xlabel('Data')\n",
    "axs[0].set_ylabel('Preço')\n",
    "axs[0].legend()\n",
    "\n",
    "axs[1].plot(df2['data'], df2['preco_wti'], label='WTI', color='green')\n",
    "axs[1].set_title('Preço Diário WTI')\n",
    "axs[1].set_xlabel('Data')\n",
    "axs[1].set_ylabel('Preço')\n",
    "axs[1].legend()\n",
    "\n",
    "axs[2].plot(df3['data'], df3['preco_opep'], label='OPEP', color='red')\n",
    "axs[2].set_title('Preço Diário OPEP')\n",
    "axs[2].set_xlabel('Data')\n",
    "axs[2].set_ylabel('Preço')\n",
    "axs[2].legend()\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ae69a7f0-ced0-4c59-937d-f34a397ba463",
   "metadata": {},
   "source": [
    "No `BRLUSD.csv` temos as informações de data (yyyy-mm-dd) e preço do Dólar na abertura, máxima, mínima, fechamento e volume."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "b7aff7aa-6ee7-4a58-a038-9c4cc294ccb4",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-10-15T18:31:01.944555Z",
     "iopub.status.busy": "2023-10-15T18:31:01.943262Z",
     "iopub.status.idle": "2023-10-15T18:31:06.515417Z",
     "shell.execute_reply": "2023-10-15T18:31:06.511926Z",
     "shell.execute_reply.started": "2023-10-15T18:31:01.944466Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Records: 5420\n",
      "+----------+------+--------+------+------+----+------+\n",
      "|      Data|Último|Abertura|Máxima|Mínima|Vol.|  Var%|\n",
      "+----------+------+--------+------+------+----+------+\n",
      "|2023-10-13|5.0807|  5,0504|5,1024|5,0455|NULL| 0,66%|\n",
      "|2023-10-12|5.0475|  5,0479|5,0479|5,0449|NULL|-0,02%|\n",
      "|2023-10-11|5.0483|  5,0518|5,0714|5,0280|NULL|-0,07%|\n",
      "|2023-10-10|5.0516|  5,1353|5,1400|5,0471|NULL|-1,63%|\n",
      "|2023-10-09|5.1355|  5,1615|5,1820|5,1210|NULL|-0,20%|\n",
      "|2023-10-06|5.1457|  5,1668|5,2210|5,1424|NULL|-0,39%|\n",
      "|2023-10-05|5.1658|  5,1550|5,1884|5,1494|NULL| 0,19%|\n",
      "|2023-10-04|5.1562|  5,1673|5,1789|5,1231|NULL|-0,21%|\n",
      "|2023-10-03|5.1669|  5,0637|5,1739|5,0637|NULL| 2,09%|\n",
      "|2023-10-02|5.0610|  5,0308|5,0810|5,0308|NULL| 0,58%|\n",
      "|2023-09-29|5.0320|  5,0335|5,0406|4,9876|NULL|-0,02%|\n",
      "|2023-09-28|5.0331|  5,0436|5,0702|5,0140|NULL|-0,19%|\n",
      "|2023-09-27|5.0425|  4,9911|5,0800|4,9864|NULL| 1,06%|\n",
      "|2023-09-26|4.9898|  4,9684|4,9942|4,9519|NULL| 0,44%|\n",
      "|2023-09-25|4.9678|  4,9320|4,9759|4,9320|NULL| 0,66%|\n",
      "|2023-09-22|4.9351|  4,9367|4,9381|4,9033|NULL| 0,00%|\n",
      "|2023-09-21|4.9351|  4,8802|4,9396|4,8795|NULL| 1,13%|\n",
      "|2023-09-20|4.8801|  4,8670|4,8840|4,8422|NULL| 0,26%|\n",
      "|2023-09-19|4.8673|  4,8553|4,8761|4,8390|NULL| 0,24%|\n",
      "|2023-09-18|4.8556|  4,8685|4,8784|4,8408|NULL|-0,22%|\n",
      "+----------+------+--------+------+------+----+------+\n",
      "only showing top 20 rows\n",
      "\n"
     ]
    }
   ],
   "source": [
    "from pyspark.sql.types import StructType, StructField, StringType, DateType, DecimalType\n",
    "\n",
    "\"\"\"\n",
    "Amostra:\n",
    "\n",
    "\"Data\",\"Último\",\"Abertura\",\"Máxima\",\"Mínima\",\"Vol.\",\"Var%\"\n",
    "\"13.10.2023\",\"5,0807\",\"5,0504\",\"5,1024\",\"5,0455\",\"\",\"0,66%\"\n",
    "\"\"\"\n",
    "\n",
    "schema = StructType([\n",
    "    StructField(\"Data\", DateType(), True),\n",
    "    StructField(\"Último\", StringType(), True),\n",
    "    StructField(\"Abertura\", StringType(), True),\n",
    "    StructField(\"Máxima\", StringType(), True),\n",
    "    StructField(\"Mínima\", StringType(), True),\n",
    "    StructField(\"Vol.\", StringType(), True),\n",
    "    StructField(\"Var%\", StringType(), True)\n",
    "])\n",
    "\n",
    "df_csv = (\n",
    "    spark.read.csv(f\"{DATA_PATH}/crude-oil/BRLUSD.csv\",\n",
    "        header=True,\n",
    "        schema=schema,\n",
    "        dateFormat=\"dd.MM.yyyy\")\n",
    "    .withColumn(\"Último\", F.regexp_replace(F.col(\"Último\"), ',', '.').cast(DecimalType(6, 4)))\n",
    ")\n",
    "\n",
    "print(f\"Records: {df_csv.count()}\")\n",
    "\n",
    "df_csv.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "5ef1c4f5-0b15-45c3-9b58-ca4a810b0bc8",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-10-15T18:31:10.589144Z",
     "iopub.status.busy": "2023-10-15T18:31:10.588166Z",
     "iopub.status.idle": "2023-10-15T18:31:15.411329Z",
     "shell.execute_reply": "2023-10-15T18:31:15.408656Z",
     "shell.execute_reply.started": "2023-10-15T18:31:10.589061Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Records: 5420\n",
      "+--------+------------+-------+\n",
      "|col_name|   data_type|comment|\n",
      "+--------+------------+-------+\n",
      "|    data|        date|   NULL|\n",
      "| brl_usd|decimal(6,4)|   NULL|\n",
      "+--------+------------+-------+\n",
      "\n"
     ]
    }
   ],
   "source": [
    "from pyspark.sql import functions as F\n",
    "\n",
    "df_brl_usd = (\n",
    "    df_csv.select(\n",
    "        F.column(\"Data\").alias(\"data\"),\n",
    "        F.column(\"Último\").alias(\"brl_usd\")\n",
    "    )\n",
    "    .filter(F.col(\"brl_usd\").isNotNull())\n",
    ")\n",
    "\n",
    "print(f\"Records: {df_brl_usd.count()}\")\n",
    "\n",
    "df_brl_usd.write.mode(\"overwrite\").saveAsTable(\"precos_mkt.brl_usd\")\n",
    "\n",
    "spark.sql(\"describe table precos_mkt.brl_usd\").show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "39bdb487-bb43-406e-afc1-da28c3eb27cc",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-10-15T18:31:20.086678Z",
     "iopub.status.busy": "2023-10-15T18:31:20.084672Z",
     "iopub.status.idle": "2023-10-15T18:31:22.988204Z",
     "shell.execute_reply": "2023-10-15T18:31:22.986068Z",
     "shell.execute_reply.started": "2023-10-15T18:31:20.086508Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "df1 = df_brl_usd.toPandas()\n",
    "\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.plot(df1['data'], df1['brl_usd'], label='Dólar', color='blue')\n",
    "plt.title('Preço Diário do Dólar em R$')\n",
    "plt.xlabel('Data')\n",
    "plt.ylabel('Preço')\n",
    "plt.legend()\n",
    "\n",
    "# Exibir o gráfico\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5f45984a-04a0-43a3-addf-fb6980b3fe7a",
   "metadata": {},
   "source": [
    "## Analítico\n",
    "\n",
    "Algumas perguntas para análise dos dados com consultas SQL de exemplo"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "31e33a3b-030f-4170-bdb9-72121858580b",
   "metadata": {},
   "source": [
    "### 1. Qual a distribuição de CNPJs por bandeira?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "27c2a295-eabd-4ec1-a2be-c0207c2bdbcf",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-10-15T18:31:28.840166Z",
     "iopub.status.busy": "2023-10-15T18:31:28.838457Z",
     "iopub.status.idle": "2023-10-15T18:31:43.259828Z",
     "shell.execute_reply": "2023-10-15T18:31:43.255797Z",
     "shell.execute_reply.started": "2023-10-15T18:31:28.840077Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+--------------------+--------+\n",
      "|            bandeira|contagem|\n",
      "+--------------------+--------+\n",
      "|              BRANCA|   26021|\n",
      "|PETROBRAS DISTRIB...|    9208|\n",
      "|            IPIRANGA|    7126|\n",
      "|              RAIZEN|    5819|\n",
      "|                CBPI|    4033|\n",
      "|       VIBRA ENERGIA|    3549|\n",
      "| COSAN LUBRIFICANTES|    2395|\n",
      "|              ALESAT|    1774|\n",
      "|            LIQUIGÁS|     498|\n",
      "|               SABBÁ|     484|\n",
      "|            SATELITE|     463|\n",
      "|    ALE COMBUSTÍVEIS|     428|\n",
      "|                  SP|     415|\n",
      "|                DPPI|     400|\n",
      "|             ATEM' S|     232|\n",
      "|             EQUADOR|     229|\n",
      "|               ASTER|     214|\n",
      "|            PETROSUL|     214|\n",
      "|   TDC DISTRIBUIDORA|     204|\n",
      "|              DISLUB|     187|\n",
      "+--------------------+--------+\n",
      "only showing top 20 rows\n",
      "\n"
     ]
    }
   ],
   "source": [
    "from pyspark.sql import functions as F\n",
    "\n",
    "df_result = (\n",
    "    spark.table('precos_anp.combustiveis_automotivos')\n",
    "    .groupBy(\"bandeira\")\n",
    "    .agg(F.countDistinct(\"cnpj_revenda\").alias(\"contagem\"))\n",
    "    .orderBy(F.desc(\"contagem\"))\n",
    ")\n",
    "\n",
    "df_result.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6989b8f4-acaf-4ef2-87ed-230f02b2aaec",
   "metadata": {},
   "source": [
    "### 2. Qual o preço médio de revenda de combustíveis por mês, produto, estado?\n",
    "\n",
    "Consideramos declarar criar uma tabela intermediária para facilitar o reuso em consultas subsequentes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "3878fef5-1134-437d-8f20-50acd2fa0e73",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-10-15T18:33:33.190127Z",
     "iopub.status.busy": "2023-10-15T18:33:33.187367Z",
     "iopub.status.idle": "2023-10-15T18:33:45.218770Z",
     "shell.execute_reply": "2023-10-15T18:33:45.215673Z",
     "shell.execute_reply.started": "2023-10-15T18:33:33.189943Z"
    }
   },
   "outputs": [],
   "source": [
    "from pyspark.sql import functions as F\n",
    "\n",
    "df_result = (\n",
    "    spark.table('precos_anp.combustiveis_automotivos')\n",
    "    .groupBy(\"mes\", \"regiao\", \"estado\", \"produto\")\n",
    "    .agg(F.avg(\"valor_venda\").alias(\"valor_venda_medio\"))\n",
    "    .orderBy(\"mes\", \"regiao\", \"estado\", \"produto\", ascending=[False, True, True, True])\n",
    ")\n",
    "\n",
    "df_result.write.mode(\"overwrite\").saveAsTable(\"precos_anp.media_venda_combustiveis_automotivos\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "951a535b-4e99-4b21-89af-0734a5cafe5b",
   "metadata": {},
   "source": [
    "Fazendo uma comparação do preço médio da gasolina entre os estados, considerando o último mês da série (2023-06)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "69ec4166-09a9-4489-890e-47946722e585",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-10-15T18:33:45.226350Z",
     "iopub.status.busy": "2023-10-15T18:33:45.225296Z",
     "iopub.status.idle": "2023-10-15T18:33:45.986663Z",
     "shell.execute_reply": "2023-10-15T18:33:45.983468Z",
     "shell.execute_reply.started": "2023-10-15T18:33:45.226224Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+------+------+-----------------+\n",
      "|regiao|estado|valor_venda_medio|\n",
      "+------+------+-----------------+\n",
      "|     N|    AM|       6.19634855|\n",
      "|     N|    AC|       6.09985915|\n",
      "|     N|    RO|       5.91151899|\n",
      "|     N|    RR|       5.74308824|\n",
      "|    NE|    RN|       5.70969849|\n",
      "|     N|    TO|       5.61351351|\n",
      "|    SE|    ES|       5.58682464|\n",
      "|    NE|    BA|       5.57350569|\n",
      "|    NE|    AL|       5.55412556|\n",
      "|     S|    SC|       5.54860000|\n",
      "|     N|    PA|       5.48006865|\n",
      "|     S|    PR|       5.44663198|\n",
      "|    NE|    CE|       5.43531457|\n",
      "|     S|    RS|       5.42974790|\n",
      "|    CO|    DF|       5.42500000|\n",
      "|    NE|    PE|       5.42040945|\n",
      "|    CO|    MS|       5.41880597|\n",
      "|    SE|    RJ|       5.41836054|\n",
      "|    NE|    SE|       5.41771242|\n",
      "|    CO|    MT|       5.39057692|\n",
      "+------+------+-----------------+\n",
      "only showing top 20 rows\n",
      "\n"
     ]
    }
   ],
   "source": [
    "from pyspark.sql import functions as F\n",
    "\n",
    "df_result = (\n",
    "    spark.table('precos_anp.media_venda_combustiveis_automotivos')\n",
    "    .select(\"regiao\", \"estado\", \"valor_venda_medio\")\n",
    "    .filter((F.col(\"mes\") == '2023-06') & (F.col(\"produto\") == 'GASOLINA'))\n",
    "    .orderBy(\"valor_venda_medio\", ascending=False)\n",
    ")\n",
    "\n",
    "df_result.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "888f6379-ef5b-4ccc-9105-4c92074425c8",
   "metadata": {},
   "source": [
    "Os dados indicam que os valores mais altos se concentram no norte do país."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bb9246c4-4194-4abd-b77f-baea99164d72",
   "metadata": {},
   "source": [
    "### 3. Qual o preço médio de distribuição de combustíveis por mês, produto, estado?\n",
    "\n",
    "Consideramos declarar uma tabela intermediária para facilitar o reuso em consultas subsequentes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "2c66e76f-beed-4fb4-9be4-b451faac70ba",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-10-15T18:33:54.107302Z",
     "iopub.status.busy": "2023-10-15T18:33:54.106310Z",
     "iopub.status.idle": "2023-10-15T18:33:56.505115Z",
     "shell.execute_reply": "2023-10-15T18:33:56.502293Z",
     "shell.execute_reply.started": "2023-10-15T18:33:54.107222Z"
    }
   },
   "outputs": [],
   "source": [
    "from pyspark.sql import functions as F\n",
    "\n",
    "df_result = (\n",
    "    spark.table('precos_anp.distribuicao_combustiveis')\n",
    "    .groupBy(\"mes\", \"regiao\", \"estado\", \"produto\")\n",
    "    .agg(F.avg(\"preco_medio\").alias(\"valor_distribuicao_medio\"))\n",
    "    .orderBy(\"mes\", \"regiao\", \"estado\", \"produto\", ascending=[False, True, True, True])\n",
    ")\n",
    "\n",
    "df_result.write.mode(\"overwrite\").saveAsTable(\"precos_anp.media_distribuicao_combustiveis_automotivos\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "262de7c4-08f2-4366-9773-5c6bf9c4a592",
   "metadata": {},
   "source": [
    "Fazendo uma comparação do preço médio de distribuição da gasolina entre os estados, considerando o último mês da série (2023-06)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "1d7306b6-5173-4795-a681-5f4c219750ee",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-10-15T18:33:57.299818Z",
     "iopub.status.busy": "2023-10-15T18:33:57.298575Z",
     "iopub.status.idle": "2023-10-15T18:33:57.967037Z",
     "shell.execute_reply": "2023-10-15T18:33:57.964109Z",
     "shell.execute_reply.started": "2023-10-15T18:33:57.299712Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+------+------+------------------------+\n",
      "|regiao|estado|valor_distribuicao_medio|\n",
      "+------+------+------------------------+\n",
      "|     N|    AC|              5.03100000|\n",
      "|     N|    RR|              4.90800000|\n",
      "|    SE|    ES|              4.87740000|\n",
      "|    NE|    AL|              4.87720000|\n",
      "|    NE|    CE|              4.86730769|\n",
      "|     N|    AM|              4.86640000|\n",
      "|    NE|    RN|              4.85850000|\n",
      "|    CO|    MS|              4.85714286|\n",
      "|    NE|    SE|              4.83850000|\n",
      "|    CO|    MT|              4.82442857|\n",
      "|     N|    RO|              4.82300000|\n",
      "|     N|    AP|              4.80850000|\n",
      "|     N|    PA|              4.80225000|\n",
      "|    CO|    DF|              4.79400000|\n",
      "|     N|    TO|              4.77160000|\n",
      "|    NE|    BA|              4.77043333|\n",
      "|    NE|    PI|              4.76750000|\n",
      "|    NE|    PB|              4.72750000|\n",
      "|    SE|    RJ|              4.72171875|\n",
      "|     S|    SC|              4.72171429|\n",
      "+------+------+------------------------+\n",
      "only showing top 20 rows\n",
      "\n"
     ]
    }
   ],
   "source": [
    "from pyspark.sql import functions as F\n",
    "\n",
    "df_result = (\n",
    "    spark.table('precos_anp.media_distribuicao_combustiveis_automotivos')\n",
    "    .select(\"regiao\", \"estado\", \"valor_distribuicao_medio\")\n",
    "    .filter((F.col(\"mes\") == '2023-06') & (F.col(\"produto\") == 'GASOLINA'))\n",
    "    .orderBy(\"valor_distribuicao_medio\", ascending=False)\n",
    ")\n",
    "\n",
    "df_result.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a1a66539-6254-4777-9ab3-1746555abddd",
   "metadata": {},
   "source": [
    "### 4. Qual o ágio médio entre os preços de revenda e distribuição de combustíveis por mês, produto, estado?\n",
    "\n",
    "Combinamos as duas tabelas para calcular a razão preço de revenda / preço de distribuição.\n",
    "\n",
    "Exemplo de execução para o preço da gasolina no último mês da série."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "6e13a32c-31fd-461f-a197-d427f13ac395",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-10-15T18:34:02.516453Z",
     "iopub.status.busy": "2023-10-15T18:34:02.514234Z",
     "iopub.status.idle": "2023-10-15T18:34:04.461336Z",
     "shell.execute_reply": "2023-10-15T18:34:04.455988Z",
     "shell.execute_reply.started": "2023-10-15T18:34:02.516253Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+-------+------+------+--------+--------------------+\n",
      "|    mes|regiao|estado| produto|    agio_preco_medio|\n",
      "+-------+------+------+--------+--------------------+\n",
      "|2023-06|     N|    AM|GASOLINA|1.273292074223245...|\n",
      "|2023-06|     N|    RO|GASOLINA|1.225693342318059...|\n",
      "|2023-06|     N|    AC|GASOLINA|1.212454611409262...|\n",
      "|2023-06|     N|    TO|GASOLINA|1.176442599966468...|\n",
      "|2023-06|    NE|    RN|GASOLINA|1.175197795615930...|\n",
      "|2023-06|     S|    SC|GASOLINA|1.175124045889697...|\n",
      "|2023-06|     S|    PR|GASOLINA|1.172031398766201...|\n",
      "|2023-06|     N|    RR|GASOLINA|1.170148378158109...|\n",
      "|2023-06|    NE|    BA|GASOLINA|1.168343692165172...|\n",
      "|2023-06|     S|    RS|GASOLINA|1.154487663521395...|\n",
      "|2023-06|    SE|    SP|GASOLINA|1.154090416722058...|\n",
      "|2023-06|    CO|    GO|GASOLINA|1.151659889770844...|\n",
      "|2023-06|    NE|    PE|GASOLINA|1.149338792825854...|\n",
      "|2023-06|    SE|    RJ|GASOLINA|1.147539874118931...|\n",
      "|2023-06|    SE|    ES|GASOLINA|1.145451396235699...|\n",
      "|2023-06|     N|    PA|GASOLINA|1.141146056535998...|\n",
      "|2023-06|    NE|    AL|GASOLINA|1.138793889936849...|\n",
      "|2023-06|    CO|    DF|GASOLINA|1.131622861910721...|\n",
      "|2023-06|    NE|    MA|GASOLINA|1.129597096024861...|\n",
      "|2023-06|    SE|    MG|GASOLINA|1.129218005476346...|\n",
      "+-------+------+------+--------+--------------------+\n",
      "only showing top 20 rows\n",
      "\n"
     ]
    }
   ],
   "source": [
    "from pyspark.sql import functions as F\n",
    "\n",
    "df_result = (\n",
    "    spark.table(\"precos_anp.media_venda_combustiveis_automotivos\").alias(\"v\")\n",
    "    .join(\n",
    "        spark.table(\"precos_anp.media_distribuicao_combustiveis_automotivos\").alias(\"d\"),\n",
    "        (F.col(\"v.mes\") == F.col(\"d.mes\")) & \n",
    "        (F.col(\"v.regiao\") == F.col(\"d.regiao\")) & \n",
    "        (F.col(\"v.estado\") == F.col(\"d.estado\")) & \n",
    "        (F.col(\"v.produto\") == F.col(\"d.produto\"))\n",
    "    )\n",
    "    .filter((F.col(\"v.mes\") == '2023-06') & (F.col(\"v.produto\") == 'GASOLINA'))\n",
    "    .select(\n",
    "        F.col(\"v.mes\"), \n",
    "        F.col(\"v.regiao\"), \n",
    "        F.col(\"v.estado\"), \n",
    "        F.col(\"v.produto\"),\n",
    "        (F.col(\"v.valor_venda_medio\") / F.col(\"d.valor_distribuicao_medio\")).alias(\"agio_preco_medio\")\n",
    "    )\n",
    "    .orderBy(\"agio_preco_medio\", ascending=False)\n",
    ")\n",
    "\n",
    "df_result.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "744b2342-cc99-4f3f-ab97-cf05645b790d",
   "metadata": {},
   "source": [
    "É interessante fazer uma análise histórica sobre esse ágio considerando agrupamento por regiões ou estados."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "d9fb12db-f6df-434d-a9c3-2d1a0089ed61",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-10-15T18:34:07.963448Z",
     "iopub.status.busy": "2023-10-15T18:34:07.960015Z",
     "iopub.status.idle": "2023-10-15T18:34:09.252827Z",
     "shell.execute_reply": "2023-10-15T18:34:09.249907Z",
     "shell.execute_reply.started": "2023-10-15T18:34:07.963176Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+-------+--------------------+\n",
      "|    mes|    agio_preco_medio|\n",
      "+-------+--------------------+\n",
      "|2020-10|1.150007099734113...|\n",
      "|2020-11|1.152860787993330...|\n",
      "|2020-12|1.126473018809336...|\n",
      "|2021-01|1.125017081361999...|\n",
      "|2021-02|1.115024132449596...|\n",
      "|2021-03|1.117989495200567...|\n",
      "|2021-04|1.113066405631115...|\n",
      "|2021-05|1.101153744581914...|\n",
      "|2021-06|1.106134851537494...|\n",
      "|2021-07|1.104985084423509...|\n",
      "|2021-08|1.095304385282671...|\n",
      "|2021-09|1.103102039372125...|\n",
      "|2021-10|1.098855002288561...|\n",
      "|2021-11|1.100613717756315...|\n",
      "|2021-12|1.121438202001984...|\n",
      "|2022-01|1.118152735802098...|\n",
      "|2022-02|1.130970170524286...|\n",
      "|2022-03|1.123902357718041...|\n",
      "|2022-04|1.107694917376416...|\n",
      "|2022-05|1.117499811280257...|\n",
      "+-------+--------------------+\n",
      "only showing top 20 rows\n",
      "\n"
     ]
    }
   ],
   "source": [
    "from pyspark.sql import functions as F\n",
    "\n",
    "estado = \"SP\"\n",
    "produto = \"GASOLINA\"\n",
    "\n",
    "df_result = (\n",
    "    spark.table(\"precos_anp.media_venda_combustiveis_automotivos\").alias(\"v\")\n",
    "    .join(\n",
    "        spark.table(\"precos_anp.media_distribuicao_combustiveis_automotivos\").alias(\"d\"),\n",
    "        (F.col(\"v.mes\") == F.col(\"d.mes\")) & \n",
    "        (F.col(\"v.regiao\") == F.col(\"d.regiao\")) & \n",
    "        (F.col(\"v.estado\") == F.col(\"d.estado\")) & \n",
    "        (F.col(\"v.produto\") == F.col(\"d.produto\"))\n",
    "    )\n",
    "    .filter((F.col(\"v.produto\") == produto) & (F.col(\"v.estado\") == estado))\n",
    "    .select(\n",
    "        F.col(\"v.mes\"), \n",
    "        (F.col(\"v.valor_venda_medio\") / F.col(\"d.valor_distribuicao_medio\")).alias(\"agio_preco_medio\")\n",
    "    )\n",
    "    .orderBy(\"v.mes\", ascending=True)\n",
    ")\n",
    "\n",
    "df_result.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "15a76bac-96d4-44c4-a715-1d01f68365e3",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-10-15T18:34:11.966591Z",
     "iopub.status.busy": "2023-10-15T18:34:11.965649Z",
     "iopub.status.idle": "2023-10-15T18:34:14.007369Z",
     "shell.execute_reply": "2023-10-15T18:34:14.004860Z",
     "shell.execute_reply.started": "2023-10-15T18:34:11.966510Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "df1 = df_result.toPandas()\n",
    "\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.plot(df1['mes'], df1['agio_preco_medio'], label='Ágio', color='blue')\n",
    "plt.title('Ágio do Preço Médio de Revenda sobre o de Distribuição')\n",
    "plt.xlabel('Mês')\n",
    "plt.xticks(rotation=45)\n",
    "plt.ylabel('Ágio')\n",
    "plt.legend()\n",
    "\n",
    "# Exibir o gráfico\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "944d87fd-f469-4e42-824b-e7d3f26a121d",
   "metadata": {},
   "source": [
    "### 5. Em quais estados é mais vantajoso abastecer o carro com etanol?\n",
    "\n",
    "Diz-se que se o preço do etanol está menor do que 70% do preço da gasolina, é mais vantajoso abastecer com etanol.\n",
    "\n",
    "Podemos então consultar a razão entre os preços médios de revenda do etanol e da gasolina."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "7e21f9c1-041a-41d5-b40f-8ce0442d0312",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-10-15T18:34:18.449288Z",
     "iopub.status.busy": "2023-10-15T18:34:18.446149Z",
     "iopub.status.idle": "2023-10-15T18:34:19.869514Z",
     "shell.execute_reply": "2023-10-15T18:34:19.865926Z",
     "shell.execute_reply.started": "2023-10-15T18:34:18.449085Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+-------+------+------+---------------------+\n",
      "|    mes|regiao|estado|razao_etanol_gasolina|\n",
      "+-------+------+------+---------------------+\n",
      "|2023-06|     N|    AP| 1.030704033246293...|\n",
      "|2023-06|     S|    RS| 0.885060910470631...|\n",
      "|2023-06|     N|    RR| 0.881929684576812...|\n",
      "|2023-06|    NE|    MA| 0.879345178385414...|\n",
      "|2023-06|     N|    PA| 0.848628536797618...|\n",
      "|2023-06|    NE|    CE| 0.837197902972522...|\n",
      "|2023-06|     S|    SC| 0.833240311069458...|\n",
      "|2023-06|     N|    RO| 0.832856064292199...|\n",
      "|2023-06|    NE|    PI| 0.817529434254434...|\n",
      "|2023-06|    NE|    RN| 0.816962007393143...|\n",
      "|2023-06|    NE|    AL| 0.815443875201121...|\n",
      "|2023-06|    NE|    SE| 0.811826172936658...|\n",
      "|2023-06|     N|    TO| 0.807027796749704...|\n",
      "|2023-06|    SE|    RJ| 0.799463174888690...|\n",
      "|2023-06|    SE|    ES| 0.792597311592010...|\n",
      "|2023-06|    NE|    PE| 0.791263065929456...|\n",
      "|2023-06|    NE|    BA| 0.786031473487201...|\n",
      "|2023-06|     N|    AC| 0.783112344487495...|\n",
      "|2023-06|    NE|    PB| 0.782798912399152...|\n",
      "|2023-06|     S|    PR| 0.740610939900514...|\n",
      "+-------+------+------+---------------------+\n",
      "only showing top 20 rows\n",
      "\n"
     ]
    }
   ],
   "source": [
    "df_gasolina = (\n",
    "    spark.table(\"precos_anp.media_venda_combustiveis_automotivos\")\n",
    "    .filter(F.col(\"produto\") == \"GASOLINA\")\n",
    ")\n",
    "\n",
    "df_etanol = (\n",
    "    spark.table(\"precos_anp.media_venda_combustiveis_automotivos\")\n",
    "    .filter(F.col(\"produto\") == \"ETANOL\")\n",
    ")\n",
    "\n",
    "df_result = (\n",
    "    df_gasolina.alias(\"g\")\n",
    "    .join(\n",
    "        df_etanol.alias(\"e\"),\n",
    "        (F.col(\"g.mes\") == F.col(\"e.mes\")) & \n",
    "        (F.col(\"g.regiao\") == F.col(\"e.regiao\")) & \n",
    "        (F.col(\"g.estado\") == F.col(\"e.estado\"))\n",
    "    )\n",
    "    .filter(F.col(\"g.mes\") == '2023-06')\n",
    "    .select(\n",
    "        F.col(\"g.mes\"), \n",
    "        F.col(\"g.regiao\"), \n",
    "        F.col(\"g.estado\"),\n",
    "        (F.col(\"e.valor_venda_medio\") / F.col(\"g.valor_venda_medio\")).alias(\"razao_etanol_gasolina\")\n",
    "    )\n",
    "    .orderBy(\"razao_etanol_gasolina\", ascending=False)\n",
    ")\n",
    "\n",
    "df_result.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "518446db-8942-43eb-8e9c-b105663691c0",
   "metadata": {},
   "source": [
    "### 6. Qual o comportamento do preço de revenda médio da GASOLINA na região SUDESTE em comparação com a região NORDESTE?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "98aca10e-543c-40b6-acbd-da08f9a5d539",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-10-15T18:34:24.430169Z",
     "iopub.status.busy": "2023-10-15T18:34:24.426196Z",
     "iopub.status.idle": "2023-10-15T18:34:24.916861Z",
     "shell.execute_reply": "2023-10-15T18:34:24.914715Z",
     "shell.execute_reply.started": "2023-10-15T18:34:24.429976Z"
    }
   },
   "outputs": [],
   "source": [
    "df_gasolina_se = (\n",
    "    spark.table(\"precos_anp.combustiveis_automotivos\")\n",
    "    .filter((F.col(\"produto\") == \"GASOLINA\") & (F.col(\"regiao\") == \"SE\"))\n",
    "    .groupBy(\"data\")\n",
    "    .agg(F.avg(\"valor_venda\").alias(\"valor_medio_venda\"))\n",
    "    .orderBy(\"data\")\n",
    ")\n",
    "\n",
    "df_gasolina_ne = (\n",
    "    spark.table(\"precos_anp.combustiveis_automotivos\")\n",
    "    .filter((F.col(\"produto\") == \"GASOLINA\") & (F.col(\"regiao\") == \"NE\"))\n",
    "    .groupBy(\"data\")\n",
    "    .agg(F.avg(\"valor_venda\").alias(\"valor_medio_venda\"))\n",
    "    .orderBy(\"data\")\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "fc3fabcb-2a9b-42bd-a386-98dee5f13154",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-10-15T18:34:27.450781Z",
     "iopub.status.busy": "2023-10-15T18:34:27.449803Z",
     "iopub.status.idle": "2023-10-15T18:34:41.052651Z",
     "shell.execute_reply": "2023-10-15T18:34:41.050258Z",
     "shell.execute_reply.started": "2023-10-15T18:34:27.450703Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "df1 = df_gasolina_se.toPandas()\n",
    "df2 = df_gasolina_ne.toPandas()\n",
    "\n",
    "fig, axs = plt.subplots(2, 1, figsize=(10, 10))\n",
    "\n",
    "axs[0].plot(df1['data'], df1['valor_medio_venda'], label='Gasolina', color='blue')\n",
    "axs[0].set_title('Preço Diário no Sudeste')\n",
    "axs[0].set_xlabel('Data')\n",
    "axs[0].set_ylabel('Preço')\n",
    "axs[0].legend()\n",
    "\n",
    "axs[1].plot(df2['data'], df2['valor_medio_venda'], label='Gasolina', color='green')\n",
    "axs[1].set_title('Preço Diário no Nordeste')\n",
    "axs[1].set_xlabel('Data')\n",
    "axs[1].set_ylabel('Preço')\n",
    "axs[1].legend()\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "51426991-e4d7-4d4d-bf8d-c90068eb8a15",
   "metadata": {},
   "source": [
    "Verificando a relação de preço entre Sudeste e Nordeste"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "f97e8d4a-cfd5-46a8-98bf-13cde470fd75",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-10-15T18:35:02.869663Z",
     "iopub.status.busy": "2023-10-15T18:35:02.868830Z",
     "iopub.status.idle": "2023-10-15T18:35:10.251565Z",
     "shell.execute_reply": "2023-10-15T18:35:10.248226Z",
     "shell.execute_reply.started": "2023-10-15T18:35:02.869581Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+----------+--------------------+\n",
      "|      data|   razao_preco_medio|\n",
      "+----------+--------------------+\n",
      "|2004-05-10|1.062514689081684...|\n",
      "|2004-05-11|1.063442377705596...|\n",
      "|2004-05-12|1.062710119290023...|\n",
      "|2004-05-13|1.118211664267693...|\n",
      "|2004-05-17|1.052584439374684...|\n",
      "|2004-05-18|1.063083418453806...|\n",
      "|2004-05-19|1.092318561938662...|\n",
      "|2004-05-20|1.082818370305958...|\n",
      "|2004-05-24|1.057552939114482...|\n",
      "|2004-05-25|1.039416725825311...|\n",
      "|2004-05-26|1.076940020401454...|\n",
      "|2004-05-27|1.082342615495092...|\n",
      "|2004-05-31|1.042918811992256...|\n",
      "|2004-06-01|1.025489555300272...|\n",
      "|2004-06-02|1.066390852516060...|\n",
      "|2004-06-03|1.083683407801552...|\n",
      "|2004-06-07|1.047741355160808...|\n",
      "|2004-06-08|1.049879762633579...|\n",
      "|2004-06-09|1.094382408274790...|\n",
      "|2004-06-11|1.012306596726982...|\n",
      "+----------+--------------------+\n",
      "only showing top 20 rows\n",
      "\n"
     ]
    }
   ],
   "source": [
    "df_razao = (\n",
    "    df_gasolina_se.alias(\"se\").join(\n",
    "        df_gasolina_ne.alias(\"ne\"), (F.col(\"se.data\") == F.col(\"ne.data\"))\n",
    "    )\n",
    "    .select(F.col(\"se.data\").alias(\"data\"), (F.col(\"ne.valor_medio_venda\") / F.col(\"se.valor_medio_venda\")).alias(\"razao_preco_medio\"))\n",
    "    .orderBy(\"data\")\n",
    ")\n",
    "\n",
    "df_razao.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "0abcd9e9-5877-493c-b0b3-f545b186d1a8",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-10-15T18:35:13.584404Z",
     "iopub.status.busy": "2023-10-15T18:35:13.583436Z",
     "iopub.status.idle": "2023-10-15T18:35:22.289190Z",
     "shell.execute_reply": "2023-10-15T18:35:22.286520Z",
     "shell.execute_reply.started": "2023-10-15T18:35:13.584324Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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NGDECNTU1ruXZunUr/vznP+Pkk09G3759u78vLi7GmWeeiY8//tiX9coNoblzmujs7MTNN9+MYcOGYcCAAaioqEBFRQVWrlxpbKP6+zbxz3/+E59++inOPPPMOPewvn374qSTTsIrr7yCr7/+2vdzXHvttejo6Iiz6jhJpp3oz6H6jf4uTzvttLjP27dvxwsvvIATTzwRvXv3jmsfkyZNwvbt27szHQ4bNgxvv/02LrzwQvzpT3/C5s2bfT/zn/70J0SjUZx11llx9ygvL0dDQ0Oca9/WrVvxpz/9KeGZzjnnHHz88ce4//77cckll2DQoEFYsGABGhoaPC15Jmx1dMoppySMe0899RSampqw1157xZVfWfJUtr9hw4Zh48aNOPXUU/HEE08EsowvX74c69evx+TJk+Pu0dXVhe9973t47bXX8jLBDSH5ApUnQkgg7r33Xrz22mt48cUXcf755+Pvf/87Tj311LhzHn30UZxyyinYe++9sWDBAqxYsQKvvfYazjnnHGzfvj3hmp9++im+973vYZ999sGjjz6KXr16df/t1VdfxcSJEwEAv/71r/Hyyy/jtddewzXXXAMA3e5wbrEOe+21V/ff/T7fm2++iU8//RTvvPMORo4cGXdO7969EzLVff7559i4cSN69eqF0tLSuGPdunXdwpGKf9pnn32sZQjrWRTnnnsunnzySdx0002oqKjAySefbDzv888/hxACu+++e8IzvPLKK93PoO6/xx57JFzD9J2TDRs2QAhhfTbn9ZNFuT+q65mYNm0arrjiCnz/+9/Hk08+iTfeeANvvfUWDj744DgXS4UthsaJ13vr6uoKlJWytrYWF154YXfSj6D30+vR1G6/+uorlJSUYJdddon7Xn+PX331FaLRKG655ZaEtjFp0iQA6G4fV199NX75y1/ilVdewdFHH41ddtkF48aNw+uvv+75zMo19PDDD0+4z4MPPhinZPzxj39ER0cHvv/97ydcp7KyEqeeeirmzp2LP//5z3jnnXew++6745prrgmc4c/W3k319vnnn+PJJ59MKLtyQ1blP/PMMzFv3jx8+OGHOOmkkzBw4EAcccQRWLhwoWd5VB2dfPLJCff5xS9+ASEE1q9fH+gZCSH+YbY9QkggDjjggIRsdHfddRceeeSRbqF8wYIFqKurw4MPPhhnQdqxY0fC9TZv3oxJkyahq6sLTz/9NCorK+P+/rvf/Q6lpaV46qmnUF5e3v39448/HneeEmI+++yzBMXk008/xa677hr4+WyYgsx33XVX7LLLLnj22WeNv+nXrx+AWOzUxx9/jEGDBhnPdT6LTpBnUfzXf/0XLrroIlx33XU477zzUFFRYTxv1113RSQSwdKlS1FWVpbwd/WdKp8pG9+6detc946qrq5GUVGR9dlUOZJl27ZteP755zF48GBXBfWee+7BWWedhenTp8d9//nnnxtTuJveuY7XeysqKkJ1dbXndZxMnz4d8+bNQ3Nzc1wcoJ/76fVoeoZddtkF0WgUX331VZwioL/b6urqbuugzWpaV1cHQCoVl19+OS6//HJs3LgRzz//PJqbm3HUUUdh7dq1rhn+VJkfeeQRTyvm73//e4wdO9ZXnR544IH44Q9/iJtvvhnvv/8+hg0b1j2e7NixI66961YgZ3vfe++9u79X9aaX/zvf+Q5+/vOfG8vhVOjPPvtsnH322di6dSuWLFmC1tZWHHvssXj//fddn13V0S233GLN9qhbygkh4UHLEyEkJa6//npUV1ejpaWlOw1wJBJBr1694oS1devWJWTb27lzJ0488USsWbMGzzzzjFHYVRvWFhcXd3+3bds23HfffXHnjR07FoBU3Jy89tpr+Pvf/96dWSxdHHvssfjqq6/Q2dmJww47LOEYMmQIAGDixIkoLi7GHXfcYb3W8OHDUVFRkfAsH3/8MV588cXAz1JRUYGWlhYcd9xx3em7bc8ghMAnn3xifIaDDjoIgHRtLC8vx29/+9u43y9fvjwu6YWJPn364IgjjsCjjz4aZ+Hp6urCggULsM8++8QlHwlCZ2cnLr74Ynz11Ve48sorXc8VQsS1KUBmyVMKXDIMGTIEe++9N+6///4418GtW7fi97//fXcGviDssssuuPLKK/HII48kZHcLo500NTUBQMK7vP/+++M+9+7dG01NTXjzzTfxne98x9g+dCsMAFRVVeHkk0/GRRddhPXr13dnsFPKim7lO+qoo1BSUoKVK1ca76EWNrZv346nn346wWXvq6++ws6dO43P+o9//ANATIFRSv4777wTd96TTz4Z91lt+qzX0UMPPZSQQe/YY4/Fu+++i8GDBxvLbrKG9unTB0cffTSuueYa7Ny5E3/7299c62jkyJGoqqrCe++9Z60jp/WeEBIutDwRQlKiuroaV199NaZNm4b7778fZ5xxBo499lg8+uijuPDCC3HyySdj7dq1mD17Nvbcc88496PLLrsML774Itrb2/Gf//ynO2YCkBaawYMH45hjjsFNN92E0047DT/+8Y/x1Vdf4Ze//GWCZWTIkCH48Y9/jFtuuQVFRUU4+uijsWbNGsyYMQODBg3CZZddltZ6+OEPf4jf/va3mDRpEqZOnYphw4ahtLQUH3/8MRYtWoTjjz8eJ554Impra9Hc3IzZs2dj27ZtOPXUU1FZWYn33nsP//73v9HW1oaqqirMmDEDzc3NOOuss3Dqqafiq6++QltbG8rLy9Ha2hq4fMoS4MbIkSPx4x//GGeffTZef/11jBkzBn369MFnn32GZcuW4aCDDsIFF1yA6upq/OxnP8O1116LH/3oR/jBD36AtWvXYubMmZ5ue4DMEDdhwgQ0NTXhZz/7GXr16oXbb78d7777Lh544AFfVp7PP/8cr7zyCoQQ2LJlC959913ce++9ePvtt3HZZZfFZTYzceyxx2L+/Pn45je/iYMPPhivv/46brjhBldrlRdFRUW4/vrrcfrpp+PYY4/F+eefjx07duCGG27Axo0bcd111yV13UsvvRS33XZbQir4MNrJxIkTMWbMGEybNg1bt27FYYcdhpdffjlhcQIA5s6di1GjRmH06NG44IILUFtbiy1btuCDDz7Ak08+iRdffBEAcNxxx3Xvl7bbbrvhww8/xM0334yampru/caUIj537lxMnjwZpaWlGDJkCGprazFr1ixcc801WLVqVXdc5eeff45XX30Vffr0QVtbG5599ll8/fXXOOGEE+LKuGjRIkydOhWnn346RowYgV122QVffPEFHnjgATz77LM466yzut/xpEmTMGDAAJx77rmYNWsWSkpKcM8992Dt2rVx1zzggANwxhln4Oabb0ZpaSnGjx+Pd999F7/85S8TrJSzZs3CwoULMWLECFxyySUYMmQItm/fjjVr1uDpp5/GnXfeiX322afbAjxy5EjsueeeWLduHebMmYPKysruTam//e1vAwD+93//F/369UN5eTnq6uqwyy674JZbbsHkyZOxfv16nHzyyRg4cCC+/PJLvP322/jyyy9dF2cIISmSvVwVhJB8QmWgeu211xL+tm3bNrHvvvuK/fffX0SjUSGEENddd52ora0VZWVl4oADDhC//vWvE7JbNTQ0dGfE0g9nBqt58+aJIUOGiLKyMlFfXy/mzJkj7r777oRsXZ2dneIXv/iF+MY3viFKS0vFrrvuKs444wyxdu3alJ7PyeTJk0WfPn2Mf+vo6BC//OUvxdChQ0V5ebno27ev+OY3vynOP/988a9//Svu3HvvvVccfvjh3c97yCGHJGSDu+uuu8R3vvMd0atXL1FZWSmOP/747mxdbjiz7bmhZ9tTzJs3TxxxxBGiT58+oqKiQgwePFicddZZ4vXXX+8+p6urS8yZM0cMGjRI9OrVS3znO98RTz75pGhoaPDMtieEzKw4duzY7nsceeSR4sknn/R8NiFEXDspKioS/fv3FwcddJD48Y9/LFasWJFwvqkMGzZsEOeee64YOHCg6N27txg1apRYunRpQvnd6lLPtqd4/PHHxRFHHCHKy8tFnz59xLhx48TLL7/s+Vx6tj0n//u//9v9zCrbnsJPO3Frtxs3bhTnnHOOqKqqEr179xYTJkwQ//jHPxKy7akynnPOOWLvvfcWpaWlYrfddhMjRowQ1157bfc5N954oxgxYoTYddddRa9evcS+++4rzj33XLFmzZq4a1199dVir732EkVFRQn1+Pjjj4umpibRv39/UVZWJmpqasTJJ58snn/+eSGEEGeccUbce1KsXbtWTJ8+XYwcOVLsscceoqSkRPTr108cccQR4pZbbukenxSvvvqqGDFihOjTp4/Ye++9RWtrq7jrrrsSxpYdO3aIn/70p2LgwIGivLxcHHnkkWLFihWipqYmbqwSQogvv/xSXHLJJaKurk6UlpaKAQMGiO9+97vimmuuEf/5z3+EEELMnz9fNDU1id1331306tVL7LXXXuKUU04R77zzTty1br75ZlFXVyeKi4sT2vBLL70kjjnmGDFgwABRWloq9t57b3HMMcd49ntCSGpEhPCRlogQQkha2LlzJ4YNG4aHH364e1WeEGJn586dGDhwIGbPnt29XxQhhGQKuu0RQkiWePbZZ1FRUYGOjg788Y9/xKWXXprtIhGS8/Tq1StwxjxCCAkLJowghJAs0d7ejgkTJkAI0b0PDCGEEEJyF7rtEUIIIYQQQogPaHkihBBCCCGEEB9QeSKEEEIIIYQQH1B5IoQQQgghhBAf9Lhse11dXfj000/Rr18/XxsxEkIIIYQQQgoT8X+bre+1114oKvK2K/U45enTTz/FoEGDsl0MQgghhBBCSI6wdu1a7LPPPp7n9TjlqV+/fgBkBfXv3z/LpSGEEEIIIYRki82bN2PQoEHdOoIXPU55Uq56/fv3p/JECCGEEEII8R3Ow4QRhBBCCCGEEOIDKk+EEEIIIYQQ4gMqT4QQQgghhBDigx4X80QIIYQQQtKLEALRaBSdnZ3ZLgohKC0tRXFxcSjXovJECCGEEEJCY+fOnfjss8/w9ddfZ7sohACQySD22Wcf9O3bN+VrUXkihBBCCCGh0NXVhdWrV6O4uBh77bUXevXq5TuLGSHpQAiBL7/8Eh9//DH233//lC1QVJ4IIYQQQkgo7Ny5E11dXRg0aBB69+6d7eIQAgDYbbfdsGbNGnR0dKSsPDFhBCGEEEIICZWiIoqYJHcI0/rJlk0IIYQQQgghPqDyRAghhBBCCCE+oPJECCGEEEJIjtDY2IhLL720+3NtbS1uvvnmjNx7xowZ+PGPf5yRe4XFrbfeiu9///sZux+VJ0IIIYQQ0uNZt24dpk6div322w/l5eXYfffdMWrUKNx5551ZTbv+2muvZUSh+fzzzzF37lw0Nzd3f/fFF1/g/PPPx7777ouysjLsscceOOqoo7BixYruc2praxGJRBKO6667Lu76H374IcrKyrB582bMnDkTkUgE//3f/x13zltvvYVIJII1a9YAANasWWO8diQSwSuvvAIAOO+88/Daa69h2bJlaaqZeJhtjxBCCCGE9GhWrVqFkSNHoqqqCu3t7TjooIMQjUbx/vvvY968edhrr70yat1wsttuu2XkPnfffTeGDx+O2tra7u9OOukkdHR0YP78+aivr8fnn3+OF154AevXr4/77axZs3DeeefFfdevX7+4z0888QQaGxvRv39/AEB5eTnuvvtuXH755fjGN77hWrbnn38eBx54YNx3u+yyCwCgrKwMp512Gm655RaMGjUq0DMnAy1PhBBCCCGkR3PhhReipKQEr7/+Ok455RQccMABOOigg3DSSSfhj3/8I4477rjuc2+66SYcdNBB6NOnDwYNGoQLL7wQ//nPf7r//uGHH+K4445DdXU1+vTpgwMPPBBPP/10999feuklDBs2DGVlZdhzzz1x1VVXIRqNWsumu+1FIhHcddddOPHEE9G7d2/sv//++MMf/tD9987OTpx77rmoq6tDRUUFhgwZgrlz53rWwe9+97s4BXHjxo1YtmwZfvGLX6CpqQk1NTUYNmwYrr76ahxzzDFxv+3Xrx/22GOPuKNPnz5x5zzxxBNx1x8yZAiampowffp0z7LtsssuCdcvLS3t/vv3v/99PP7449i2bZvntVKFyhMhhBBCCOmxfPXVV3juuedw0UUXJQj8Cmeq66KiIvzqV7/Cu+++i/nz5+PFF1/EtGnTuv9+0UUXYceOHViyZAn++te/4he/+AX69u0LAPjkk08wadIkHH744Xj77bdxxx134O6778a1114bqMxtbW045ZRT8M4772DSpEk4/fTTu61BXV1d2GefffDQQw/hvffeQ0tLC5qbm/HQQw9Zr7dhwwa8++67OOyww7q/69u3L/r27YvHH38cO3bsCFQ+nY0bN2Lp0qUJ1rvrrrsOv//97/Haa6+ldP3DDjsMHR0dePXVV1O6jh+oPBFCCCGEkJwiGgVmzQImTpT/uhhmUuaDDz6AEAJDhgyJ+37XXXftViCuvPLK7u8vvfRSNDU1oa6uDmPHjsXs2bPjFJOPPvoII0eOxEEHHYT6+noce+yxGDNmDADg9ttvx6BBg3Drrbfim9/8Jk444QS0tbXhxhtvRFdXl+8yT5kyBaeeeir2228/tLe3Y+vWrd2KQ2lpKdra2nD44Yejrq4Op59+OqZMmeKqPH344YcQQmCvvfbq/q6kpAT33HMP5s+fj6qqKowcORLNzc145513En5/5ZVXdteVOhYvXtz996effhoHHXQQBg0aFPe7Qw89FKeccgquuuoq1+cdMWJEwvU7Ozu7/96nTx9UVVV1x0qlE8Y8EUJ6DNEo0N4OLFsGjBoFNDcDJRwFCSEk52hvB2bOBIQAnn9eftfSkt576hupvvrqq+jq6sLpp58eZ3lZtGgR2tvb8d5772Hz5s2IRqPYvn07tm7dij59+uCSSy7BBRdcgOeeew7jx4/HSSedhO985zsAgL///e8YPnx43L1GjhyJ//znP/j444+x7777+iqruh4gFYd+/frhiy++6P7uzjvvxF133YUPP/wQ27Ztw86dO3HwwQdbr6fc3crLy+O+P+mkk3DMMcdg6dKlWLFiBZ599llcf/31uOuuuzBlypTu86644oq4zwCw9957d/9fd9lzcu211+KAAw7Ac889h4EDBxrPefDBB3HAAQfEfVdcXBz3uaKiIiOJPWh5IoT0GNRkvHCh/Le9PdslIoQQYmLZMqk4AfLfdCZS22+//RCJRPCPf/wj7vv6+nrst99+qKio6P7uww8/xKRJk/Dtb38bv//97/HGG2/gtttuAwB0dHQAAH70ox9h1apVOPPMM/HXv/4Vhx12GG655Zb/exaRoKSJ/3tQ/Xs3nPE+6rfKcvXQQw/hsssuwznnnIPnnnsOb731Fs4++2zs3LnTer1dd90VgHTf0ykvL8eECRPQ0tKC5cuXY8qUKWhtbU34/X777Rd3qHrr6OjAs88+i+OPP95478GDB+O8887DVVdd1V0XOoMGDUq4vs769eszklyDyhMhpMeQycmYEEJI8owaBShdIhKRn9PFLrvsggkTJuDWW2/F1q1bXc99/fXXEY1GceONN+LII4/EN77xDXz66acJ5w0aNAj//d//jUcffRQ//elP8etf/xoA8K1vfQvLly+PUxKWL1+Ofv36xVlqUmHp0qUYMWIELrzwQhxyyCHYb7/9sHLlStffDB48GP3798d7773nef1vfetbnvXkZNGiRaiqqnK1fLW0tOD999/H7373O9/XdbJy5Ups374dhxxySFK/DwKVJ0JIjyGTkzEhhJDkaW6WHgITJsh/HVsPpYXbb78d0WgUhx12GB588EH8/e9/xz//+U8sWLAA//jHP7pdxAYPHoxoNIpbbrkFq1atwn333Yc777wz7lqXXnop/vSnP2H16tX4y1/+ghdffLHb5ezCCy/E2rVr8ZOf/AT/+Mc/8MQTT6C1tRWXX345iorCEcv3228/vP766/jTn/6E999/HzNmzPBMyFBUVITx48fH7ZX01VdfYezYsViwYAHeeecdrF69Gg8//DCuv/76BCvSli1bsG7durhj8+bNAIA//OEPnmned999d1x++eX41a9+Zfz7V199lXD97du3d/996dKlqK+vx+DBg13vEwqih7Fp0yYBQGzatCnbRSGEZJiODiHa2oSYMEH+29GR7RIRQkhhsW3bNvHee++Jbdu2Zbsogfn000/FxRdfLOrq6kRpaano27evGDZsmLjhhhvE1q1bu8+76aabxJ577ikqKirEUUcdJe69914BQGzYsEEIIcTFF18sBg8eLMrKysRuu+0mzjzzTPHvf/+7+/eLFy8Whx9+uOjVq5fYY489xJVXXik6HBNSQ0ODmDp1avfnmpoa8T//8z/dnwGIxx57LK7slZWV4je/+Y0QQojt27eLKVOmiMrKSlFVVSUuuOACcdVVV4mhQ4e6Pv+zzz4r9t57b9HZ2dl9nauuukoceuihorKyUvTu3VsMGTJETJ8+XXz99ddx5QOQcJx//vlCCCEGDRokFi5cGHev1tbWhPJs3rxZ7LrrrgKAWL16tRBCiNWrVxuvDUA88MAD3b+dOHGimDNnjvXZ3NplUN0gIoTFubBA2bx5MyorK7Fp06buTboIIYQQQkjqbN++HatXr0ZdXV1C8gGS2wghcOSRR+LSSy/FqaeeGso1//KXv2Ds2LH48ssvE+K0wuLdd9/FuHHj8P7776OystJ4jlu7DKob0G2PEEIIIYSQHk4kEsH//u//um7YGxTl4pguxQkAPv30U9x7771WxSlsmKSXEEIIIYQQgqFDh2Lo0KGhXW/YsGEYNmxYaNczMXHixLReX4eWJ0IIIYQQQgjxAZUnQgghhBBCCPEBlSdCCCGEEBIqPSwfGclxwmyPVJ4IIYQQQkgoqMQAX3/9dZZLQkiMnTt3AkD3fl2pwIQRhBBCCCEkFIqLi1FVVYUvvvgCANC7d29E1O7khGSBrq4ufPnll+jduzdKSlJXfag8EUIIIYSQ0Nhjjz0AoFuBIiTbFBUVYd999w1FkafyRAghhBBCQiMSiWDPPffEwIED0dHRke3iEIJevXqhqCicaCUqT4QQQgghJHSKi4tDiTEhJJdgwghCCCGEEEII8QGVJ0IIIYQQQgjxAZUnQgghhBBCCPEBlSdCCCGEEEII8QGVJ0IIIYQQQgjxAZUnQgghhBBCCPEBlSdCCCGEEEII8QGVJ0IIIYQQQgjxAZUnQgghhBBCCPEBlSdCCCGEEEII8QGVJ0IIIYQQQgjxAZUnQgghhBBCCPEBlSdCCCGEEEII8QGVJ0IIIYQQQgjxAZUnQgghhBBCCPEBlSdCCCGEEEII8QGVJ0IIIYQQQgjxAZUnQgghhBBCCPEBlSdCCCGEEEII8QGVJ0IIIYQQQgjxAZUnQgghhBBCCPEBlSdCCCGEEEII8QGVJ0IIIYQQQgjxAZUnQgghhBBCCPEBlSdCCCGEEEII8QGVJ0IIIYQQQgjxAZUnQgghhBBCCPEBlSdCCCGEEEII8UFWlaclS5bguOOOw1577YVIJILHH3/c9fxHH30UEyZMwG677Yb+/ftj+PDh+NOf/pSZwhJCCCGEEEJ6NFlVnrZu3YqhQ4fi1ltv9XX+kiVLMGHCBDz99NN444030NTUhOOOOw5vvvlmmktKCCGEEEII6elEhBAi24UAgEgkgsceewwnnHBCoN8deOCB+H//7/+hpaXF1/mbN29GZWUlNm3ahP79+ydRUkIIIYQQQkghEFQ3KMlAmdJGV1cXtmzZggEDBljP2bFjB3bs2NH9efPmzZkoGiGEEEIIIaTAyOuEETfeeCO2bt2KU045xXrOnDlzUFlZ2X0MGjQogyUkhCRLNArMmgVMnCj/jUazXSJCCCGE9HTy1vL0wAMPYObMmXjiiScwcOBA63lXX301Lr/88u7PmzdvpgJFSB7Q3g7MnAkIATz/vPzOp3cuIYQQQkhayEvl6cEHH8S5556Lhx9+GOPHj3c9t6ysDGVlZRkqGSEkLJYtk4oTIP9dtiy75SGEEEIIyTu3vQceeABTpkzB/fffj2OOOSbbxSGEpIlRo4BIRP4/EpGfCSGEEEKySVYtT//5z3/wwQcfdH9evXo13nrrLQwYMAD77rsvrr76anzyySe49957AUjF6ayzzsLcuXNx5JFHYt26dQCAiooKVFZWZuUZCCHpoblZ/rtsmVSc1GdCCCGEkGyR1VTlixcvRlNTU8L3kydPxj333IMpU6ZgzZo1WLx4MQCgsbERL730kvV8PzBVOSGEEEIIIQQIrhvkzD5PmYLKEyGEEEIIIQQIrhvkXcwTIYQQQgghhGQDKk+EEEIIIYQQ4gMqT4QQQgghhBDiAypPhBBCCCGEEOIDKk+EEEIIIYQQ4gMqT4QQQgghhBDiAypPhBBCCCGEEOIDKk+EEEIIIYQQ4gMqT4QQQgghhBDiAypPhBBCCCGEEOIDKk+EEEIIIYQQ4gMqT4QQQgghhBDiAypPeUQ0CsyaBUycKP+NRrNdIkIIIYQQQnoOJdkuAPFPezswcyYgBPD88/K7lpasFokQQgghhJAeAy1PecSyZVJxAuS/y5ZltzyEEEIIIYT0JKg85RGjRgGRiPx/JCI/E0IIIYQQQjID3fbyiOZm+e+yZVJxUp8JIYQQQggh6YfKUx5RUsIYJ0IIIYQQQrIF3fYIIYQQQgghxAdUngghhBBCCCHEB1SeCCGEEEIIIcQHVJ4IIYQQQgghxAdUngghhBBCCCHEB1SeCCGEEEIIIcQHVJ4IIYQQQgghxAdUngghhBBCCCHEB1SeCCGEEEIIIcQHVJ4IIYQQQgghxAdUngghhBBCCCHEB1SeCCGEEEIIIcQHVJ4IIYQQQgghxAdUngghhBBCCCHEB1SecphoFJg1C5g4Uf4bjWa7RIQQQgghhPRcSrJdAGKnvR2YORMQAnj+efldS0tWi0QIIYQQQkiPhZanHGbZMqk4AfLfZcuyWx5CCCGEEEJ6MlSecphRo4BIRP4/EpGfCSGEEEIIIdmBbns5THOz/HfZMqk4qc+EEEIIIYSQzEPlKYcpKWGMEyGEEEIIIbkC3fYIIYQQQgghxAdUngjp4TAlPiGEEEKIP+i2R+KIRmWKdGecVQlbSUHDlPiEEEIIIf6g5YnEoQTphQuB1lZgyBBaIwodpsQnhBBCCPEHlScSh1OQBoBVq6Qy1d6etSKRNMOU+IQQQggh/qBDFolj1CjpuuVUoGiNKGyYEp8QQgghxB9UnkgcSnCeP19anQBaIwoRxrYRQgghhAQnIoTTxlD4bN68GZWVldi0aRP69++f7eLkLBSuC5tZs2JJIiIR+X8miSCEEEJITyOobkBxmBjhBr2FDZNEEEIIIYQEhwkjCOmBMEkEIYQQQkhwaHkipAfCJBGEEEIIIcGh8kRID4RumYQQQgghwaHbHiGEEEIIIYT4gMoTIYQQQgghhPiAyhMhhBBCCCGE+IDKEyEkY0Sjco+piRPlv9FotktECCGEEOIfJowghGSM9vbY5rzPPy+/Y+IKQgghhOQLtDwRQjIGN+clhBDSU6C3RWFCyxMhJGOMGiUtTkJwc15CCCGFTa54W0SjsizOvR1LqAEkDauOEJIxuDkvIYSQnkKueFvkihJXKFB5IoRkDG7OSwghpKeQK94WuaLEFQpUngoImmUJIYQQQnKDXPG2yBUlrlCgaF1A0CxLCCGEEJIb5Iq3Ra4ocYUClacCgmZZQsKHFl1CCCH5TK4ocYUCRYACgmZZQsKHFl1CCCGEKKg8FRA0yxISPrToEkII8SKXvRRyuWz5CKuugKBZlpDwoUWXEEKIF7nspZDLZctHqDwR0oPg6lNwaNElhBDiRS57KeRy2fIRik2E9CC4+hQcWnQJIYR4kcteCrlQtkJavM3TYhNCkoGrT4QQQkj45LKXQi6UrZAWb6k8EdKDyIXVJ0IIIaTQyGUvhVwoWyEt3lJ5IqQHkQurT4QQQgjpWRTS4i2VJ0J6ALqv8dNP56+vMSGEEELyi0JavKX4REgPoJB8jQkhhBCSX+SC62BYFGW7AISQ9BGNArNmAXPnZt7XWN174kT5bzSa/nsSQgghhKQTKk+EFDDt7UBrK7B+ffz3K1emX6FR1q6FC+W/7e3puxchhBBCcoNCXzyl214WKaSc9yQ3sVmYVq2SCg2QPjN6IWXWIYQQUrhQHguXQg8VYNPIIoXeuHoquTQIjxolLT8m0q3QFFJmHUIIIYUL5bFwKfTFUypPWSTbjSuXhPxCIpcG4eZmYPFiYNGixL+lW6EppMw6hBBCCpdsy2OFRqEvnlJUziLZbly5JOSHTTYVw1wahEtKgOeei9XF8OGyrS1fnn6FppAy6xBCCClcsi2PpZtMy0SFvnhK5SmLZLtx5ZKQHzbZVAxzbRC2KTG0PBJCCCHZl8fSTaZlokJfPKWolEWy3bhyTcgPk2wqhvkyCBey5ZEQQgjxS7blsXSjy0Tz53PBNBVYbT2YfBHykyGbimG+DMKFbHkkhBBCiGTEiPjkUatWyQXUfJBVchEqTz2YfBHyk6GQFcOwSIeCuX07MGkS8PbbwNChwNNPA+XlqV+XEEIIIcmhFkqdcME0eag8kYKkkBXDsEiHgjlpUiyz36JF8vOLL6Z+XUIIIYQkx4oVid8VUqhGpqHyRBJgIoGeQToUzLffdv9MCCGEkMyi7/nY1ESPnFSgSEwSYCIBkixDh8bvKTV0aPbKQgghhBCzpwkXxZOHVUcSSGciAVq1Cpunn06MeUoFthdCCCGZpBDnHYYyhEueNweSDtKZqY5WrfwhGgVmzwYWLJCfzzwTmD7dfRIpLw83xonthRBCSLowKUqFOO8UokKYTVh1JIF0ZqrjXgP5Q3s7MGtW7HNbG1BUFGwSSXXAZjp1Qggh6cKkKBXivFOICmE2Kcp2AUjuocy7zz0n/w1TsdGtWGqvgTCIRqWwP3Gi/DcaDee6+UA6nt00YQSdRNSAvXCh/Dfoux41Slo/gcLbyJkQQkh2MSlKhTjvLFkS/5xLlmS3PPkO1/t7EDYrQCbNuc3N0tq0alXsu7BWdXJhZSVbpnHTsyv3g2TLomfnUd8FIdUVvGzv10VXB0IIKVxMYQrZnnfSQVeX++dk6MnzYw95TALYlYtUlY4gHaikBJg8OXa/MFd1csHUni0FzvTsQcuiv8dp04DOzviYp6CTSKrxc9kOcs0FhZwQQkh6sGWhK7Rxvrg4/vOHH8o5PxVlpyfPj1lVnpYsWYIbbrgBb7zxBj777DM89thjOOGEE6znf/bZZ/jpT3+KN954A//6179wySWX4Oabb85YefMdm3KRqtIRtAOla1UnnYku/JItBc707EHLYnqPbW3ySJZ8X8HLBYWcEEJIeihERcnE6NGxeR2IhUyk8uw9eX7MqvK0detWDB06FGeffTZOOukkz/N37NiB3XbbDddccw3+53/+JwMlzA7pMoXalItUlY6gHShdg1W2BfVoND7WyFaX6Xi/zmcfPlya5Feu9C6Lk3QMhOmcmDLhMpALCjkhhKSDnux21dMIO2TCr7xTqGS1mxx99NE4+uijfZ9fW1uLuXPnAgDmzZvn6zc7duzAjh07uj9v3rw5WCGzQLpMoTblIlWlI1cEzGyvILW3x28Q29horst0vF/ns8+aFbs+ANTXS1dJr/eaK+/RDedkH40Cixen12Ug2wo5IYSki57sdtWT2L5d7r/42Wex71Kd4/3KO4VKwa8xzJkzB22p+B1lgXSZQm3KRapKBwVMif6eSkrMq3jpNnU7rw8Agwf7e7/58B6dk72TdLkMZFshJ4SQdNGT3a56EpMmxSs61dXApZemNsf7lXcKlYJPVX711Vdj06ZN3cfatWuzXSRP8i1NZjpTm+cTpvdmSiGe7veb7PXz4T3qiqEiH/oJIYTkEvkma5DkePvt+M+RSOpzfE9vOzkoHoVLWVkZysrKsl2MQCRjAaDvcnKEWW+m92ZLIa6fF7Rcbn8P4/q5itO1EACammS5c9VSRgghuUo+eBuQ1Bk6NN7yNHRo8tdSssOSJdJVr7hYJqPoaW0nD8SlnocfVyFd+O3qkpYN+i4HI0yfb9N7M7lF+Hm/XuVy+3sq10+XUhXWdW1pZQkhhASDbsk9g6eflq57b78tFaenn07+Wk7ZIRKR/++JbYhiR44QVLh0NuCFC4GKiuz5LuerFQNIr893KtlovMqVarltv09XAHFY1+Vkn37yuT8TQkhYFMpYWF4OvPhiONdinJwkq83gP//5Dz744IPuz6tXr8Zbb72FAQMGYN9998XVV1+NTz75BPfee2/3OW+99Vb3b7/88ku89dZb6NWrF771rW9luvihElS41GM/tm2L/T/T/qf5nLEnjAxzpgEWkHFOyWaj8SqX6e+2gd70ve366RoYOeDmD/ncnwkhJCwKbSwMQxnMh6y8mSCrytPrr7+Opqam7s+XX345AGDy5Mm455578Nlnn+Gjjz6K+80hhxzS/f833ngD999/P2pqarBmzZqMlDlsVGOeOzeYcKnHfigGDACmTs2s/2k+C8Zh+Hy3twOtrfL/CxfK9NljxsQrTgBQVOR/4PIql9/4qpaWYHFXyQyMfgbkUaNk3Th/k+ru5iQ95HN/JoSQsCi0sTAMZdC0p+TEifltmUsK0cPYtGmTACA2bdqU7aIIIYRoaxMiEhFCNmd5RCLyezc6OuQ59fXBfpcOnM+QrTJkkwkT4t8fEP9e1NHUlN560ssxYYL79yZUu5owQf7b0eF+z44O+VxebdDveST79PT+TAghQhTeWOhHFggiA7S0xF+vpSV9ZU83QXWDnqIj5iy6+53NcmRa3W9piVkcspktp9Ay9gQ1betWFRNNTTIrTTpXsWxWoyDWpKAxRfpGebbn0veAKIRVvEKl0PozIYT4xTn/Dx8u58PlywtjLPQjCwSxTi1YkPg5z7ZVTRoqT1lGb8xTp5obqq1B50IAfS6UwRZ3lIx/b1DTdnOzdNVTSkQkApxxhlSWdLe6F14IP77KK0W5+nfJEmliX7pUZmYMkv7chkkBsj1XpnylCyXIN1vkQn8mhJBsoM//M2fKvQ+DkovzkJ+FsUJzVUwXFCmyjN9V3lxp0Lk4IABmhQcI7t8bjQLz5wer65ISObh61UtY8VVBU5Sr72fNiv/t/PnA5MnAtGnA9dfLz6tWyd/4rS/d6tbUZH+uTFk0sh3km6t9hBBCiDthyVrZnoeSJcgi55lnxluazjwz/eXLFTilZxm/q7y5kuEkVwcE24AXdBBsb48pEAo/de3nPSa7ou8UxleuTH5g111EV62S73LxYnk4/+b32kH2XSopiXczbW9Pj2KR7YWGXO0jhBBC3NFlreHD5cJj0MWwbM9DJvzMTUEWOadPl4mwlIsj0HOSRxTwoxUWuRKHoA8IS5YkN7CEjU25DKpw6gNcfb20zLg9Y7otDc4Bz0lQJdqUoVEI4JVXkru23+d2nheNxtwbVWbC554Lt76yvdCQi5MmIYQQb3RZq6srucWwbM9DJvzMTX4WefW5/+mne96iIZWnPMGtQWfSTUgfEJwDy8KFMVewTCtRbsplkJSa+vNNnixd2twGhXQPGrrFqL4eGDw4uBKtznW65wHxe4Sp66t36Ibf57Ypf4BUpNrbw62vbC805OKkSQghxBtd1po4MbnFsGzPQyaC7A/phmnu72mLhlSeCoBMavz6gLB0qdkVLJ1lMGFTLpWbmN94HtOAN2mS+6CQ7kFDjysaNAgYMcLs+uY2EKo6am4GhgyJV6B0hSxMtwRd+TP9PUzSlfDA7ySTi5MmIYSQ4CS7GJaLiXeC7A/phmnu72mLhlSecoBULUfpEt5t5XJ2rFmzYhnkFEJIZUUlIsimS5/J6uFWR87nU8+/cmXs76ZBwTZoqN+rLHfFxcDo0cHrQc/m99JL8gCkUtXZGQva9DMQlpRIy5I6T1nYgg70fgdLt1Tu+TTI+p1kcnHSJIQQEpxCWgwzzU3JyI+mud9PPRVUMqU07zuVc+TaJrnbtglRW5va5qH6Rrv19f42OPXCzwZops161ZHuTWHdUOUaMCCxXKpsXvXT1hb/m+pqIVpbE39n21Qu2Q2QTZg24nW+b9t5zk3wnOVsaZHPMm6crIvx44O3Gb+b6XV0JLaP+nr/G/FmA9OzBdlsmBDScwi6uTghqRJWm0tmI+Bk753Lmw4H1Q2oPGWZpqZEYVgJZV4NVP1dCcBOATWMhmkSeG2YBGRdcfESNsOcgEyKi0mBcruXSWEJUqc2hScZodvteZzvxW1wMinZmVJw/Sj4uSSAmOoxlwd+Qkj24NhAbKRrXgurzWVy3s3lBcigukG+GswKhrffTvxOuTF5uQk5/x6JAHV1sb9lOmDP5Ao2dGgsBbYf9yw/blFuZl9bSm8AKC+Xf49GY98pNzjbvUzuZm51qpftyCMTf5+sm5rTJL5zZ8xtD4jfW8ErcYYen+aMe0pnm9GTVZhi45zvP5vJR4BEV4a5c4GLLy6s3eYJIeHQ04LliX+SjUn3cnELq81l0s28oOKi0qzM5Ry5bnmqrY1p/l5auv73+vpwV79aW+Ov39pqPk+3gCkXsG3bgq1o+FmVCGJZCXKY7tXREf9+vOpUL1tDQ/w9Kirk9bZtc68HL8IwmZuOTKyYmtqseo7x4+2WtVStVEHPD9PlkhBS2NDyRGwka23xalOptLlseXnkkneJDt32PMg15WnbNilQDxiQKFgH7TwtLeE2TJtSpF832U6sd6TWVu/ruA1EuvBdX2+OxQJk/JKfMgfp7HrZKiqyo6DYsMWnebkvhokeR+asF6cLoVe9BW1zQc+3xczlkpsBISQ3yGWhkGSXZOUjL6UrlTZHZT8Ruu3lGeXlwIsvxj5Ho7ENWYcPd3cTMrlohenepMy5s2YBra3yu+efT9zYNFnzsW7OnjFDflbZ6ZYulfdWz6lnvgNkfam9mzo64v/W1QXst1+8a5riJz+R2e909zaTqdyvSVvfhFbfPwkI16UjaOYaZ6rybGW80TMHKoQA3nxT9gchgO3bE//urLegbS7o+U5XBqcrqsnNIBoFZs8GFiyQn888U+68nrdZhAghgWCGzfzHNJ8Cqc+VyWbr83JxKymJn8v1bUvc8DsfFlR2vLBJszKXc+Sa5UnPgDZmTPxqQ0ODeWXBtOqQrtUvr8QJtlUMr/LYVla8gvWVVUlPdlBVZbYw6Z9NGfO8nsUPzue1WbzCzGaTb2Z7rwyIzsP0LjNpedLL7PUe3MpKCCEkt/Dj+ZJNC006ZQC/v9PlLjcvlUzKpOmAbnse5Jry5DdOx8ttqaUlWHxO0DLq5bGlwHZ2ELcO6hZPZFKq/HxXXm6vPz1uxlbmsLLBBBl0vH5vepem7IZ+3onf66cDW1uvr090cSwpSTwnkzFPQTAtLtC9jxBCchd9DjTNp5nODhdknvKSAdyu6zce3ZYx2CuMRMk8YWeATid028sz9AxoNoRwd1tasCA9mdOiUbkJa3U1sGFD7PuVK2MudTaXBTfTcHt7vOtWY2PMnG0zV5u+c2azKytLdPdSDB5sz1TozIDjJxuMV8a/2bOB++4DqqpkvZ15JnDVVbENg/2Y193qTrkq6u6IzrJ6ZfjJRnYova1XVAB77inr56WXpDufYp99gA8/jL2HyZPj6yuom0xYbjWmd2/KypjXWYQIIaTA0edAQM41as4ZPlyGDigykR0uSGa+9nZ3GSDZ6+rXc4YiKEwygz6/m1zzCykLJZWnLGNrnCZUqu2SkkQh33btZNm+HZg0CXjllfjYHaVEmVJNm8qq0AcevROVlMSEY5uPcGdnLK6kq0sqJM74mU2b7M8zfHj8Z33gnD9f3sd2b2dcy/r1wMaN8vuFC2W52trk5/Z2qVQqNmwAioqk4hRk8NLbhTO2q6srcWCqr7enJTcpX/q7GT48Fmvn5tusKw/TpsWUQi+faFNM2KpV8r7XXCPL8fbbMsX9H/4A3HRTend1T8af2zQJNTfHt80zz2Qac0IKBcZ9FB76HAgAgwbF/q+2/7At8KaLIIua+t90GSDZ6zpxykPRaPzWM7rMMGKEuyyb96nJddJsCcs5cs1tz2lO1VNbjxkjRGOj2exp8td1/rapKbhrkvOatbVmc60t+1jQ8gRxG+vokG6JevySWzY9/airi88YqJfP5NrnxJYlTv1OYTJz19entmGwHttlemY/JnS3d+Mn06HpvfndZFe9Q/XOTBswZ9ofOhnXxVze5I+QfCJf4iGYmazw0Ofz2trEd5yNsT5IW/NzrinDbrJt2CtGrKUlNsebZLVc7uNCMObJk1xTnpz4jfUxEcZE5Cf+qqbGrBT58R9Otrxuiksyh+roJiXEb4p0m/Lkt6xBlFvT3khe19KVL+f5+sAWpJ3p5/lVCk1Kl5cCmC5SSUNOQYqQcMiXvsQFk8LDa1sRtXVMpttn0JinIAklwlZiTP0infdLN4x5ymOCxProhBHT4Sf+KhIBmppi5uzFi2MuDeq36l+n/7Apzabf8nqZmPV4LC+EAFaskHE0KgW782+m+5niWhTKxA8kunAB5lTpixYBAwfGYqJMqa2Vu4gzPXskApxxRmKadf23zvqdODH+b866CtrOhg+Pr4eDDpKp5b1+p7ePoiLpZuCsG+UakG4XGafrncJZdrcyJJt2lhAiUf1r7tz4MSFX4yH8xMGS/MJrW5H16+Uc3dQUC5NIZqxPdjsRP/g5V5fp9NjvVDCFFjj7dNj3yzWoPOUQfmN9VNxT2PiJv/r8cyn4KoSQHWbo0HhlySTgp1Ium+ISicTv2RSNJsYDmVi5UioCjY3xiQqA+PgiNdg1NwP/8z+xWCdAJjy46qr4ZyspkfFPM2bIQXP+fHsZNmyQR1ubrFN9kNGF/Pp6qfB5DcD6gH3kkeb6q64GLr00MVbK7X3p8XVCAHV18v9usT66ADJmjDz0PZSSDWz1wlknK1fGt/EBA4CpU2X81qxZ8p0ppU4vA/dzISQ5VB909i9FLislXDApPJzv9PXX7YuvH34oFYBkCWM+S2VBUZfp9ERfQe49fLjsp2rf0WnT5Dl6PJQil/t0KKTZEpZz5LLbnsLNtxSQKbkrKmQ81LZt4d/Xzz48pqOxMT3+6x0d5ngwFTszY4asI7VX1owZia5pdXXyGs7vTe6F+u+ammQdt7SY02fbCOpqaHIF0c3i48b520dBd4fR604dVVXBXT293Bf166jyjBsXH3PW0SHrtakp5iKxbZu/Z04Gm0uq0x3DLZV6MvfNl5gOQjKBrX8NGMD+QbKH37jplpbg1w7D5TMV91Y1B9XVxZfDtn+oTkuLuS70cowfn/99mjFPHuSD8uQVP6QL906cwmpDQ0zBcNsYVv+9Ho/S0JCoOADeyoS+AbBScGydynR+U5MM5qyulv+OGSPjroqL7Z3aFM80YYI5SYRpE11THZvu5TYAuSkZtvfo3HuhpSUxWYjJB1sf3KqrE/239c/qKCtLVKaqq+Pbi5ci7zWoug38pqDdGTOSS0jhhSluTH9348bZnyuZ++ZLTAchmcA0JuZTv+BiSGGiz6FqXjclPQhKGHNAGAqYTYb0KpOb7Okshy4j1dbmX/+g8uRBPihPemcxCfTqGDAg/rduSR/8rJzoAq3KxGa6nq48VVfbLSB+OqyfhBX9+3srIvoqCyCfwWuFyZZh0KQ4Vle7D4pBLU9uFiL1HvTVnQkT/K+aJXOYlLPp081ZAPU2qdqA28BvEqYaGuIVSL+bAPpp116TmE1JTva+DDQnJIY+JlZX+1/UywW4GFKY2JRiU0bYsK4dhFTbXUeHuwxpy5i8bZv9d3o5TAuPLS35tdjAhBF5iO7T6syXH4kAlZV2n9yDDor/7Jb0YcGC2H5ENpybwgEylmj5cvO5ffrE7620YYOMrVG+vbayCGEODvaTsGLzZve/RyLxcUnOe5rOdX6/bp35mvp+EEB8kgrT8zQ3AzffHP/eysqAHTvM9xACePll89+AWNDqCy/E2sWoUfHJJNyor5f/mpJX2FDxQU5uuw047LD4PZ70GIb162N7gLkFW5ti2f7611gM2qxZ/jcB9MJP3EJxsfm3yfpuM9CckBjNzfH78m3cKGM982XPpGxsLE78k2xskC2O9cwz4+UlZ2Iov4QRI5tqzN2119rlR+e8pMdnLV6c+LvGRqC0NLEcY8ZI2cTJggXA6tWx6wGyLgpm37Q0K3M5Ry5anvSVBafG3tJit4gA0s1Jv5btXLVy4uZO53QVU6uDthX50aPt91KxKn4tTyZ3wWSOykoZE2ZaXXGz7AQ9Ghvjn03fR2rbNnOcVjL3Um1i+vSYW56Kd7NZBU313dHh3pb0Q98fQj9UinTVnvRVqnHjzHFNzneul0dZnsaNM7tNpHP1ytR3KiqSXzWjmw8hMTo67JZkW1/JpT6Ur5anXKrDdBLW+3GL0zWdl8v1arI6VVWZQyi8tiFxm39N8ptpSxQhcrcf0W3Pg1xUntzce7zcv0z7J9kE3tbW2DVtSo3J5U0JtVVV7p3DedTWJsbwtLYmDkjqHL3MDQ2JilwqR329/dmSOerq3F0BdaWgutq9vtyOhgaz4uV0j9Rj3JxJNJzJJWzxT5WVsdgyZ8yTl3Lm3HxXf19NTd4Dpa5cOWOeTM+bTkyJSVSfISQfMLneuAl4mRQATXOZGj9ssY25JGjlg7BsIpfqMJ2E5Sbtt77yoV5Nfc7mfqg/T9B4Y7e9JZ3zd666s1N58iCXlKctW6TAWlSUKHgr5UKPc3EeupVKDei6wKtnQfPKmGb63iR0myw8+sSoTzB6B7VZY0wbtyZzmOKVwjpUvYd9XVMiDtN5XpnoOjpilsuyssR2ph+64qSu4fWebeUePz74QGmrz3RZnVQdeSmd+Sg0kZ5HUAEokwKgKZbXtlCixolcFbTyiZ5Sh37asp+xPNkN43OxXk3zaXNz4nlqHqyri8kBprkw2fs65+9cVToZ85RHHHQQsGZN4vdr1sjjhRekj6mThgb53bJlcs+nBQsS96Tp7Iz/zWmnxfvdjhhh3vdH7c/kvKZC30QOkN3CjUWL5H5Jzk3mdL9xPcZKlWPUKOkba9vfyS/77hv/LPrGrKmwZIl8B2FTWirfoaonm7/yG2/E/IwXLgRefFG2AeU/3N4u44b84tx3asmS2HvbYw9zO9XRY8NGj5b/6hvp6XtoOTHtNRaJyP2tUvWLNvla63U0e7Z8/ueei303a1Z69p4iJGz08fXtt+M/63E6mYzj0WMAbZubO+MwGDeYOpmqw2zHsviJDdLjejo7E/ej1OWjESPM98uHtmmKKzbFsLe3y7nPKXNce62sK+dc6MTtfet145y/C2bftDQrczlHLlmevCwBQMw9TNf+ba53pgxs1dUxd7mxY2Wqb+ff9ZTbQTPF+T1U5j6vVNeqnJWVwa5vcit0xiapVQ63uJ+SEn/WKlVO/Tuv39XUSCuemzXHmXEuaJyWcxXHzWqZ6lFX516P1dWJVhuvVXCnFaiuTr473b0z1axFens01dH48bHytLUl+n7n4gojIUL4tzyptq3PFSZvgbBIZv9CWn1TJ1N1qMskTpfuXHlvJouI3j+mT48/p7k5d+PxvMpgctXXMzQLYff4cJvr3CxIuVA3QaHbnge5pDz5dYfSJzxTML2zAQdNX60H7TY1JSoiYR3KzdC2EW9Qhcl5lJfLsuvPX1sbi6nZskUOhn7r3nTU15vTaHsdpndWVyddF/VEEIpk36UQ4SbIMJXbq470AdSUat2JPhg7XVLD2O/JNEGY3klDgzzfFO/ldu98nDBIYeE35skt7jVTbjRqscTUB4PEV7Cv5QY2ATyXXLP0OcaUwMS0+JyLbmZC+HOBM+3B5Gc88HrWfHBbDALd9vKIyy+XZk/F6NFAr17AX/4S786gXCmcJmed+nppGm1ulubU2bP9l8OUqtJJTQ3wxRdm173aWmDwYOm+VlwsTdxCAL/9bcwNzMmKFTEzcGtr/N+qqsxpxv2yfbtMr1lXF/+9cjlbtEi6Sn74YewZy8vl74ISiQR3/zO5qaxbJ9N5qms2NUnz9qxZ8r3bXPZsfPABMHasfBdvvx3st4C8tyk1u87ate5/P+MM2Z7UO164ULYVlR7e5OaguxDdd1+sbpwIkZx7kcmFwVS/b78t6+C+++K/r6gArroq5maguy10dcn3JkS47n3Zdoch+YMpNbKpDQbdRiIdlJTIccrUB73KoLtfAebnTKXvsN8Fw+RyDaS/TQV5T7rLmHPMVnPSBx/E/2bbtvh5KcizpLsN+XG7/cMfpNzz8cdA375S/lmzJr7fqHpRoQjFxVIedXOpS8VtsRD6Vp4Vt7Boa5N7/yxbBgwfLhvg8uXAwQdLJUBvlG77IJ1xRmzyKCryX4bqatlZtm+X+/WYrl9cnKg4qXiYZ56RCoiTWbNi+f2dOJ+luTlxf6Ag5bah7qnv4aTQY3cikeD3WLUqUbDWKS+XRyQilcKaGuCjjxLPc9arELJN2BRkJ7W1UmHu7JTX/ewz+Q5XrzYrHApbvSj69vWnwNoUrNpaeSxfnqhcrlkTUw7VgOkcRKPReOXKVo4gA7W6/pIl8v+2OAsnGzfKuKzPPov/fs894wU0XYCrq0t+knXDr6BIiMIknADmvqYTZuyGs/85F9jUXGfbp86rDH5jtVLpO+x3wWhulvPRggXxC6fpjgcK8p70xYVoVModzn6yaFH8HLr77lLhUAwfnp6yJYO+IBiNysOpiNx0U2zB2DmnOvuNqV7a24FJk+zKjVPhikalPDd/vtwPa/p0d2WoIPpWmi1hOUcuue0J4e577nS9sLk3qGPAgNi5Xq5eJSVm1za3871M8U6XQt3lr77e7C/sNCebYohMrnW6/25RUfx5TnevIC5vdXXSXUuv4+pqmXVGv5Yft0ZVR7pJvLzcX7yb1+FM85vM76ur/bn2VVQkn2ZdP9xc9fR2b3t/DQ3+3XRs8XvJ1L8eG+jHfz4MCs09gqQfkzuPqa+lO+YpaPxsdXV8tk+FW7yUW19Lpe+w3wVHb2N6pt90EOZ7Mm31oruo+9m+Imi8bLJuqCY5yhm7bnJD1M810dISf25Li70Mpj7uFe+Wi32LMU8e5JryZPM911M76n+3Ce9+hNySEnvMUbKCsO05ALuPrV7ua66RMT8DBtiVOVPsi23gsflgq/givU5MSoJS/PT72mKziovjP48bl5505mEcdXX+FMzy8mCb6+q/1d+fmwLijL+zKXa2fSpMhJXuvrbWXRi1bRsQBrma2pXkLqYNL03xHW6bWKeK256DpjHWrc8k29dS6TumBDOMrXInG0JxmO/JJGvpsoKfZwoaQ5RKOzXVuZs81tTkvQGw3m/d5ly3Odb2LLk4p1F58iDXlCe3hqcalMmyoLLweSlBVVXhJX9wDiJ6g/cjpDp/k4xQW1srEz74FVD1ASRV60lDgyyDW7IJ3UpXW+udYTCdR1gWI71NBX1v48ebFV/TIGrardx5BFGe/K58B30/EyZkLmidwfE9gzDfs5vwpNp7S4t51Tos/PQ9v/fU5wuvPe4UQTcN1n+bzvopRLIhFJsW2oJYvPxYaVJtryUl7osTqSidpjo3eUU427ybZamjw7yIbEO/lmmu1MnFOY3Kkwe5pjy5TXLK+mRb9Te5YuiHyt6mVhd1i0l1tX+3r4YG+6ZpXuVQh0oDHdSdwzZwOd0FGxpim522tiZOlHq2t/r6YBa4ZDfcnT49Vo5kXeySPYK4LpaXy/bilYlw3Dj365rqyTSgjxsXv0Gtctfxaht+3Cac7SOZOq+qMm8MbWuHhKRKmIKnzW3IKUSZskmGYSmw3VsdNTXSFTqI4KTXTbLZN4PWcS66F6VKOgXXbAnFpvnI70a5fhc3VWhE0PbqZ95Ipe+b6tztel7KkWn+rauLXdt5v5aWRMVVD6PIl7kyY9n2Vq5ciZtvvhl///vfEYlEcMABB2Dq1KkYPHhwGKFYPQYVdKcnTwDk5/Z2YPNm829vvlmes3gx8Mor5mx4S5fKQHe1KeH69fF/r6yU2e9mz5aBnkLI5AZFRTL48513YoGfS5bITG6mTdOcwYMdHcBf/yoTGJSVxQcpfvCBDMYfPtx7w9qiInmo5ARCJAYG2zIEtrXJ37a0xIIfnfdSG7cBiVn/bPjJQmfittuAQw+VAdNCeGf4SzYDoAkh5MbKKjvevvvK9mJCZSusrna//5gx8rDV28iRwEsvxX93880yEYozIURXV2xjvkgkljBk/vzEazY1yb93dQEvvyyTkvjJ0FNSIturCpQ/4gjZzr02/TUlq9CTXRASJmFuWOsMAFfjoxrz1PcTJyb+LozAfressIBMcKP6pV/0LGlLlyZXV0HrOB82Qg2KngV18WL5LsLIdmbK9pgthJDyiI5boh83pk7192zRqJSd6upk0iEll7m1t2Q3jrVlrXMm7wDkvKkSSbS3JyZN2rAhtnn90qWJ91m9WtaZQtWfnr0WiJcdKivl9fzO13lFMhras88+K3r16iWGDRsmLrvsMnHppZeKYcOGibKyMvHcc88lc8mMkUuWJz/m4gkTpDXAthrijMWwrfq7HRUViTE9QMyKo6++19e7uz74Xek3JYjw8xt9FcPN/U+5dpj8d52rKNOnJ29VSsfR0JC6hcq5sqRvjulljXJzy6uqku2xocG8+Z5yjXGLWVP+1vrKtPre9BuTRUq5AwZZ4UzG4qn6iW7NbGmxW2IJCUo6XJ7cLAF6X3DzLAiCH5fsVF15kq2roL/LRfeiVDG9n3yxDtiwuY41NSWea3Jp82qvdXX+373JouvsY2EnZLG1Z1ssmFeMkpvs4eV14nZdm9dQrvStjLjtHXzwweLKK69M+P7KK68UhxxySDKXzBi5pDz58Utva0vc8dp56EJ/uja31TuhrcN6+b/qHbGtzXvD1UhEKgNO1y4/dagrhG4Tt66glpUFr5fycinMp7o5bU1NTKkLsplvZWUsxk1vF3pyD7fr6G3Iz8bFznawbZu9HdqCWW2DtlJa3Ab9IMJTKgkkdHchP2UwTRC5NmmQ3CDd7cIr/sdvBjuv8ur9u6kpcYxvaZH3V4swKvOn3/unkp2s0Pue1zOaxv9k3BFzqS5VWXR3NBUm4ERXOPTYP5ss4Rcv5cLpxp9qvbm5lZrmuoaGRPlErzPbIqafBW83ecUt024uuPdlRHkqKysT77//fsL3//znP0VZWVkyl8wYuaQ86Y27rEw2IpXdq7FRdn63zpiMslRbK1f9k00m4JZ+0++qhLOz6AqXl8KgBze2tclOXVMTm4hnzEiMcVLHmDFSUHBmnNHrUf9cXu5dXxUV8noqqUUyKzTqOkKYJzk3C5mb0ub0WXazDAHBy637gtsGWFswq/q97X35meD8JnBwUxzr6rzfsVuMnEkAMU0QuTZpkPwhFYHVq90Fje+xXc9URn01vr7eO4NndXX2hfJ8xOs9h5UIIxfHMT8ptk3t02tRzaSE2a5ri5V1tuuw6k3vV854YL8L2WPGJF7DGUve1CTE2LFmbxEld6i6dJuja2vjE2bkWjxhRmKedtttN7z11lvYf//9475/6623MHDgwBQdCXsO+o7cO3bIf6NRGZNhi8uoqQG++EL+zhmbocfKFBdLv1dFVZX021UbmM2a5T/eRxGJAEOHmjfx9UtRkYzDmTZNfl6xIv7vahO6pUvNcUYLFsiYJiDm37t4cWwju+3b5fejR8c2YHOyZInZF9qJeheK0aOBp5+O+RevXJkYr7Vtm9xg79hjZWyY22azbpu1lpXJdzN3buLfRoywl/3ll+33032WnW2roUHGMP32t/KddnXZr2PiwgvjfcHffjv+78XFss0C8n12dMT/vX//WFswvS8hgBtuMMf0AbE2aNp4r7k53idc3cf0DvfbT57j7BMlJfFtUPVVE6bNE20xFqbvCPEilc0lveJ9gsb32K5nintZvjz+s1usq2LDhtiYlStxNPmA13vW40CTjeEMM0YvLPRN7/XPgLl96pvN1tTEb4xr2nxWxyvWT7F9e3j1pt/L+dn07CbeeSfxGqqOVEyVKSZf0atXfPyikg2BeJl0zRq56e6LL8rPeR9PmIyG1tbWJqqqqsR1110nlixZIpYuXSrmzJkjqqqqxOzZs5O5ZMbIJcuTcwXEa7VCz5IUJLWynrZTpaqsq3O38uh/U9dR7h6mvQLc/H2dh3PFxbSC5RY7VVcXX482NwS/+4yYDi8XEjd3QVudOvc4sllZAHeXwZqa1OKzJkyw7wvh9rva2tjqk26Va2yMb8+69UaPy7PVjWqX9fXeFiCVGdDZ9rz2uzD5hJvanR+rYX194oqdyZ/dtBLqVqZccoUhuUfYKY2dBG17QSwPXi7qXmNWWPSE/qXXtfI0CXsfr0xYnoK+r2T7h77f2dVXJ7ZD2wbOtnvbjsbG8OrNFL+lyjduXOr9zU+/dVq7nO/LJL8NGGA+Nxf6Ykbc9rq6usRNN90k9t57bxGJREQkEhF77723uPnmm0VXV1cyl8wYuaQ8KdzSkTsFM6W0uLkOVVcLUVSU2KGc9/KbjEC/jpvPqhKAnQqVLT5Ev55z4GpokC53bsKr7s5hUkS8FDDT4VRuvPYDcboL6sqSXm8VFYnJBfwqmW5HcXGwmChVL6ZJz2vgdw7yevtTA6LeHpQb49ix3uVyu4bbs9jao+251MbA9fWynenum+pduym3qk+Z2qheJpNbhVcQv19XKNLzSFZgdS5MmGJHvX7rbHtui2dCxI/nY8bIMb26Ws5xXvGtbuNOGPipv2z2tTDu7byGLlf4jd3R01GbEolkop6Ctnd9EdBrw1zTYpmKsXaTE0zX9OMmp0IKUk3M4rbIpxbo3J5BhTd4zat+FEKba6SpbA0NwZ81U2R8n6fNmzeLzZs3p3qZjJGLypPe4XXh29lpk1m988rhH+Q6LS0x5cZrHxzVwW0TplJWknku50CqK0i1tebsbG7P5aYguQ1yfpQzdX09SNVLYQ77UIO+bV8Ir98rZVd/ZjUh21bB/FxbDapBMiHpyrz+XFu2eNdxU1OigqMEPbffFRWZLYDOBBem5/FaCbWdn4vxBSTzJCuwptJ+9N/q47Uax5WQ7Sa0NTS4LwDW1sYS3lRVyfODZtR0w20xxbmwYbNIp1uhCruf2xa6bHhZ3jM99gQdPzs6EmN/3fYFtFlWvDyBTHWQjNdNsrhZhPzIFbb4JV0x1OdulbjL653Y5vwZM1J77nTCTXI9yEXlSR8gmprME5De2IuKpPXBq6PMmBEb+JNxY/MaSEyHcwd43b2pri55RVDvtCarnZswHyTFtB83Fz+WH3Uvvex+rWKNjeZVRHX4KYOfFTi3QVfPpud0cVCuIKYBU9WvlxueGlT1OrdlHPQj1Oj1a6snP4lT/GQc1J/bTxvy2+ZyLbiW5Bde7cetH5kSvCQ7ZldUJCoozj5tG4PCEtq93JBM1mov998wCauf21yovSxPfty0gpQpVaUzqCVJiEQZp7o6uKtdTU3wOgiSyTXV8dvtXl5hAza5w1S3puQibtmWlYXbJjM63QpzjYxtkvvII4/goYcewkcffYSdO3fG/e0vf/lL0jFYPRE9cK6xUR56Mod+/eI3ufUK7K+oAK66Sp4XNDGEkz33dA/wHTAgMYlEV5c9eHLjRplEwPQ3E2PGAB9/nFgGlSTAllhDr1fnBpE2nJvOrVwZK6MQMlHDrFmxINuuLvfNZOvrgTPOkP9fuTL2fSQikwuoDey8ePtt4Dvfif1Wr7ef/Qy49VZ7goraWpnswi3YtaQEGDzYXJfl5cCVV8pkC+r5GxsTN1Zsbk4MLF22TJ7jliADkJs8q2uo39nquKICOPJIWR63AHo9cYUtgNatXIqf/AS4/35/ge5ALNmHM0GFn8Bs22aJeR9cSzKGaePMESPiA+JXrozfuNKtH+mJjfR5KAjbtgEDBwIXXyyvv2yZ7OPFxTIpjylJDiDvHUZCAufmoc4NTBVLlsTPq6qvZSo5Qlj9XE9eoMbMp592/53zOU0ELVMqCU6AWDKoRYvk58WL5TVt14hGzRvA2n6jt23Fpk32zeptdWC7lokjj4wvs2mjWzeGDzdvUAskJrsCZIItdV3T5tgqadSkSfLaQsQSSDnlCiFkwq+ZM81zWnu7HFdsrFrl/v7yCr9a2bHHHiueeuopIYQQc+fOFX379hUXXXSR6NWrlzj//PPF+PHjRWVlpWhubk5O7csQuWh5Mq3k6z7qbhvlqhU9/TtlrjatUvhJOqBckLwSVKgVJWd5vSxcbpYn/Xvl9mZaJTE9m0orGmTVy4+7gl5mN4uc2lRPX8lTzxJGzBMQ2yjWLZbA70qp26qjLVbK6xrqea+5xrs9mFwK3WKPTO3MuaKnr7D17y8tSMlYPFtb7a4IbtsF6HGAYcQxMOaJuGGKszPFY/i1bDrbXqp72JnGdTdrcdAxzA9u45zJJdnmypcOwurnyVqwTOO3m6eGV3nDsKTpc4ApbbjX/G2ztKqx2a9Hjr4th+maulxg8mxQeznqde63bbnJD6a9P52Y5rEg29a4xQn6sUrnqtdE2tz2/vrXv4ra2lohhBBDhgwR999/vxBCiL59+4qVK1cKIYSYMWOGuOiii4KWOaPkovLkp/N4mYT1zq/Mo0GTJpg6iR48qmKe9MBjPyZ/dTjd+rzK54yd0Qdpm6tYKu9Av7cfQd40CZvem3oW/XvT4OWmnLkFfCY7YCkF2GT2t2XpM11Dn8QiEW+hS7V7fVJwZibyOnRXPrX3l22hQG3M6efaAwZIF8LRoxP/Nnp0bOHAy8WV8Uok3ehzgYrrcRsX/Apwpuukkv1Tv5dpD7rKynAzxunjWEVFbC7Tx3hVP15KQq4tbtjeZ9jP4dVuwlA6bTG2tvv4GXP1cqkkC7rwry+M2eKjnegLFWPGmOPY1XVsspsbNnkwEjGHSTgV4JYW78V422Erm21hMZ/mv7QpT+ecc464+uqrhRBCVFRUiDVr1gghhNhtt93EW2+9JYQQ4v333xcDvCISs0wuKk8moTTIyojKaOT8Tlmd/DZqv50kyHP47UBeMTGmbC7O3yabRcpP2Z1+wG7BpbrCoVbHbMqdafA2DaJBrCT19WYLVJABy9Ze9E1qnRNOWHES48YltgM18LulL3cquLZ4CtNhUp4aG2U5giTzcCZk8ZNxKVdX3khhYIr58BqHvcZR26p6GIfef70W/PxmjLPhJtC7/S2ZLJnZwm2x0aQ0JGNVEiIxHfa4cd6Z+oIqaKZ76Njmb5uyY7Nm6fVjWlxzy9KotoBRiRXcFv/U85v+5tV+9DlOzxTc0uLe71ta/C/42cYL9Q6nT3eX33r1kkpodXX46fLDJG0xT0888QSuv/56AMAee+yBr776CjU1NaipqcErr7yCoUOHYvXq1RBCpMG5sLDRfWWjUWDIEHN8RXGx9FutqJCxRmeeKb9Xm8Yq1LV032wVn6R8iG2oTU2dePnm6hvN6ZSXy3JXV8trzZwpN08cNSoxJqa6GjjsMO84kZIS+ez68wfF5q/s9LFW5XDG9UQiMq4MiPl2RyLSfx+wxwEp33PlY798uazz1atj1zjjDPm+lyyR9bV2bewaettQMV1qU1h1XRVLYKtD9U7V+XqcUEVFLG7H2WYaG+U9/cRJ6BsrA0BTk9yE0FmPXV2J/uqRiHwGVS9AYlvR26qX376ishJ46aX47z76CKirk9csKjLHRbjhtTEh45XCJZl4gULnjDPi4w5MY+t3vxs/LpSUxPezWbNk+1f92c8GoEVF3nG41dXyX2d5Vq2Sh3MMcXuH+hhlwq1d2OIKvf7mFr+TaxvGmjaCBRLLuWBB7J3rz2R7Xj0u2ElXV+LvZs6M30R11qxgcVBjxsiNVdVcMmZM4jn6/F1fH5sPTW2pszOxXurrgUGD5PgPSNnKtPG87f3q8T6qjZv6jDOWzoTte+d83dgo++yIEfJ6aiNq1ZdtsbxCAPfdJ/9uipNuaJDnLFkS+07Fb3d1yZipaDQmD7jJfACwc6c8APmbOXNSl9dyAr9a2YoVK8Q111wjhBDi3HPPFTNnzhRCCHHHHXeIiooKMX78eFFVVSXOOeec4CpfBsk1y5MptimIm5LJYqFWNYRIXKGorY2lYh47Nlh2I6/VNVtufz+Hbh5XlrOw3SFsK6zO+3il4jRdw21fKL8rnfoKkp8sgG6ra37w6+5gso76jZNQq2F6/eixfqb9oFpaEu+ju3zqdevH8uR3/yk/x777SldWk+XMeU6q1lGSSK6t+OcCet+bMSOxTwmRuL+ebrV2ekCYUl4HyZhaUWG2PNhcltxiOvxYntLRLtzGu1xuh8761sdLt7nO9rxu1vXx473du4PEQfn1LEnVmmWb+0xzSZDQCt17RJ/fg1xfCHM7M30XJPOfqY96ZZxM5aiuDicOOGwykqq8s7NTdDie9sEHHxQ/+clPxNy5c8WOHTuSuWTGyDXlSW/4QZUP2/n6BFlVlZjWvKHBfRBJZtDTzdDKVz3I87i5GaQ6Kdnc6NzeiUlJ1F3Y3Mrl5sZg87F3I0yF0jbI6oGxJnePIG58pvLrcVHJBGubYsqcipppPy0lfOltwZbi1ZnifsYMKWQGjfOors5d4SosshH3wRTudtT70JUitTDlFWuq9kCzCXe2tMQm92Gn67UuzJvGY11Ar6kJFvOUjnaRrEufX9LVf9wW6JzvV3fn0heCVHIirw1kdZmkoSFxg3i/Y2E6lFK/ceDOuWTcOPkcbkqcSbbwmhP18AwvZcLvIqZeFuc7sMmM+n6gYShkfg8/KejTDfd58iDXlCeT8Occ6NSeSKYG76Zsqb2d3JSx8vJg2Y38DGSmCSDIioWeSSfsSdA0ANgy8dgGPNMgmUw2I6UwZFOo9rvypdeJvjKsC1puz2JbVXZalJz1brNi2WKTnO1O+WQ3NiYKX/p1bX1FXy3s6Age+6ErW4Uo5Gdj9T2d98ylJADJlMU27qp+5rUAYJpfTIsqtv5ns87r19S9DsaP9xfn4vfZw2oXaiHS6bmRLiUn1TL79aTwGtf9HNXV/hI/qcNLCXGSLiXY77M5lR/bXO1UgII8myKIAuVnEVOf//Rr2Z7ftsDh7M9B20aQwy22PRNkZJ+n+vp6NDQ04M4770RZWVn39//+978xbNgwrPK7GQpJiA1RcS66r7Yem6JiWbq6zP6jv/1tfJyIDWccS0OD9KNVcUh6nIybP7iTzk7pC71ypSw3IP2IhZA+tm776ui+yGHvb2OKy9KvafMXV5j8kf2WS/c5d9szIROo+3nFSOl1ou8VUVIi243z2VQ96fEH992XWA7ly+68x/bt8j5vvQX07y/rauVK4IUX4v2xdZYsid8bRPndq8/RqNz3TO2zdeaZ8nlNfam2NhartXChjF+rqQkWB6XuqX+ORgsrPicTcR96Wwq6j1YQUt2jJkz8lsW2T53Caw8+J0LIsVrtLReJyP2ZALkfzKhRwNKl8b+pr4/NWXoMleqXpjI50ecAIDaX+O0vfucqJ17xc9dfHyv/hg1yTzw1poTRLsLsP7YYNeccGo0Cs2fLcVAIuT/Qa68Fv9fQoTKGd9Ikf+erONNIRI7pbu80HfvbBanXW26RMotej87346xrFQesx4a5xWOa3tXzz8f6qRPTPoh6LLLa/3DZMrlnU1dXrL82N8f2OrvvPvls1dVyDpw+PXYdNd+rZ5g0KRa3ZELJqKmwYEGexUIlo6FFIhGx//77i8MPP1x8+umn3d+vW7dOFBUVJXPJjJFrlqdUVjfVaoDJjO4njbXuWuG2h4Hf8nutXHmVS19hdKufZOoujOx8+sqNzeRsWlHKtqUpLPRVKLVCZ3o2/Xu9DRQVmd1xkk2xb7JGlZRIa6x6J/rfbavlYcVF6Uc+v3sbmbA8BblHqpajXHIJ9FsWNyt/dbU5RtaURtl5OFfTnTG5pmxkNTWyz6hYKn1+MfUDfR6qq7PHP6YD2zyqj+s2t6Ww2oVpf65kMXm06G7jyY6vQLy10Bl7E/Q6XnUX9vwvRDBPGD/jty0mV+9ntj3/bKETTjc6U72YXGZV/KJXmf3Wndd4ou5XU2NvH34Pt+fNBBlx2ysqKhIrV64UJ554othrr73Eq6++KoSg8hQmpo1zdfSG7UyPqTfM2lrZwNX+QDNmuPuz+0UXZpJNGKF+b/MR9mNGzpTZ18+70etGH0RzwRUoFfSJvr7e7h6nTy5+06kHiZXze9h8t22TeCoChtdRaK57mXBz81Ii3ILjgypa2XBDtOG3LG5xCU1N5vas4iFs/c1tywS3zbn1/q0nmHBzSTeVs7bW37ir45W8xm3BzxmD69fFOVnCnM/8LGT5PRobExVLva2MGyfHf1vcqK1NJFN3tphZv9cy/d7vYZq7TXJYkOe3zTHKHdLpLu61bYffOSeM8cR21NYmyqDV1YkKVllZ/OeGhuBtIUwyojxFIhHx+eefCyGEuOqqq0RFRYW47777qDyFgOrYplUwHZsgYVp1crOM6ANhEKFOv1cynbq+3ryfldugbxpAMrVyYRt49EnatqluvgjNbsKwn0FVTTS6EGvbkFDVi60PhHGYgmkB++Rhe4dB9oEyHdkWxt3IpVgfHa9J3004dOt3putmsh687hXGSrEtxsmUtct5uK0i+xVAlbKjKy22spoyV+rl97vfk/5uvTLO2eonaHB/UMK0dNraSzLCsLI66uOfXqdBr6snkkjVcqTvF+aF37rwWuxUSk0y1pYJE+xzjKl/Br2+6TqmZ7d5Hel1rerCrc+YrJoqVtCtfEHjGsMmIzFPEYeT8pw5c3DggQfivPPOw6mnnhqCI2HPxuarbNrbwuYPrH8/ebLZ19YZx+L02Q3iV6zvr+AWz2RClc9ZBoUQMb9ife+ebIbV2XzT9bgEtReSs9xh7/OTzn1uZs+O7VuxcKH0k1Y+ybZ9sZw4fbGbmmS5hg+XdbBsWfzeT8560ftAeTmw++7Apk3mfSkAGZv04Yex3zQ1AStWyLgpJyNGxHy+9ZgnE6NHx2JMnJxxBlBaKp/DuecFIGOiPv888d4K5x4kuUguxfroeMWy2Pb48up32d6nx6vOveIwAdkOOztj+9ScfrqMKfnVr+S4bItJUM/r3Htu5UoZ0wPY+xwg98XxMxaXlMh+rJ5B7WVoGz+6uuQ+bM75RC+/n/2egMR3+/bb8Z+95ixVP37eQSrY5nPbGO829tvKqo/bNTVy3HTD9H7XrJGxMipexrQfkh4HU1ERHyu6dq2cX4KOM7Y+btovzA23OUzNV37mVBXfZ+sn9fWyPav+5CQaNde/s67CGI8GDACmTo2Nl/qzr18fi69y1ptpvC0pke+ttdV8L1Os5VtvucsKgHn/rpwmGQ3NaXlSLF++XOy+++60PKWIbTXEtMpmW10KukKWatyV+q1pZ3uVmci2Uq/Sn9qyCQZxN/Cz31EYq8m21W+b77P+Htz2hAqrLGE8r2kPFv26ft12TO4CzpUst9VR3SJlamumujaVLagrjC2trZ6xSs94NH26vc3nuuUxl2J9guLmKuvW9k39KJNue35Xgt3Qy6ssvH6y6jmfraPDv0Vp3LiYK1FdnXTX0fcPNF3fzVLhTOvvdqRiedKv1dBgz6CZKSuxbaz244Lnt4x+vSMAWR9eWUXdrCK6hS/IHlNu6H28qiq5bKZONzjVdpOxJm7bZreqKK8fU1yT7TemurLVsd8tM/Txz83ryEuuVLFzyVjabIfNOyqTZDVV+bp168TixYvDvGTo5LrypA8MJSWxGCW3+B8/10p3rI1NcEkmFkpXhGx+ym6ufl5lTNXn2u8kF0YZ/Lph6JNGKs9rUoZ1RVDfgNMZd+dHwTRNciYh0JnIYcaMeJ/qIEp2MoqAaUFDd9V0m4RMqZnDTnMcJplUGtxINiGM7X0EvVcmlUg3VyRVHlMZ3RYUysvtbnhuKZWDuAdVVJjjj3RBS9/nx3Y9P3OF7Z42TDFPpsUXk6tRMm0v7DnW1A5NCm4y7dPPoqTXocqjj9EzZtg3km9psY/hXjhjjvU4Gpv84Of53crg9m7dFgKc85L+N5PypMptWmDV69gU2673f6/69Vo0UmVqaUlMROHlul5f7y9uOVdc2LnPkwe5rjz5CXj22+FtVqx0NVa3idyP8uTHZzlVISedApHfyTOZMiS7+pjK83plTrQJOsryYgru9tN29Xr0Kkdjo12ZdE5QybT7jo7ESWPMmPiMVaYgcmfiE9NGvbk0aejkSsxTKkpcGApgJpVIm9LnbE+m/VyCCL8lJfIa+oKHV1a5urpYe1eKkJ+YXIWeCMFtLrBtzKv/Ptn6VW1arwNdEK2t9a+cKdLVXkyLoKY69KswOLFZX/TrV1TIv9v21QtaF7oy4ZWx1pbIxWt+8lKGTIkvgi6M2hSEysp4bxPdE8JkubHNz34WAPRD76Oma5uSX/mNBXOzEAeJ06qtzY1FxIwpTw8//LD4wQ9+II444ghxyCGHxB25TK4rT078JoSwdTi3huu3kybbqE3WA9PKhWlAClqGIJNWugUiP2VPpgy2JCBe90vleZ0Tq819wzaAOwdW/d0GTRVvS+WqjpISs0UKiGX0UumTg7plmPqQ06pmKosSUJ3Pb6u/fHKJyzR+3DdN79LUxpJxlc2GEulmgTK1nSAJAFQfNP1GrS63tpot+apO6+rMQl9Fhb2e9LK7uRo5Lba2TbC9Ujj7EX71ucjk4lteHmw7i3QtzNkWVE1HMnOaH+uD7XAq1s769qqLIDKMXrYgbd7PdZ2Hzd3Urby65amkJFG20Rc/vO5nKq/td6bDlPXQdG19YbK2Nn7u8nr3qp/a5ljT4qN+VFdbGmaGyYjyNHfuXNG3b19x0UUXiV69eonzzz9fjB8/XlRWVorm5uZkLpkx8kl5crM2OBuf26qNVyyR33sGxY+FqLzc7GcctAxBhJx0C0TJWFb8lMEkxPt5N0HvZXINcFtdsk0KbpNY0Pebarpw3YccsK/S+okJ8HJFMFnkbP7tuWh5yhVMK+5uFnnT70zCYK5a/IQwu3raLLx+V3ZVe1cKpF8X6urqmOLg9z5OZUv1I1vbLy837xek14dp0c3P9hBuwq9przm35/LTXtI5dyr8KA5BlTZTvJ1SpE1ZD53vS383qr2YrKRB68rmmujWFp2uqkG8cpTlxVaXbuX1Y71xW2TU46FNi4te712fo3XlyRZTZCpXQ4Msi1faeb/xw9Onu1+nvDxzi1NuZER5GjJkiLj//vuFEEL07dtXrFy5UgghxIwZM8RFF12UzCUzRj4pT26Be16Dk0IXQLxM+2EELtuwDXp62fM5YD2dq4+2JAlhKIK2+By3QwkxfgZ25zsOWkdeqVz9HCbLj59J3TSh6oqYKdhc/zxmTOJkVF2d+QkjV1zy/JTH74q716p2fX1iG/LbL7NVX16uq2rBzLZA5lQGgixy2MbmoKv9fi0XtmdyPvu2bYkr7VVVZiuybWzRXQdtsTJuzxT0nYXptaGuqysr9fWJ35mEWqc1T7cOmN6VW5spL5fjW2NjosVOyRf6e9Utv34swbYFQ1ubB6Sg7ucdmBZmTItiqv37sXbr/dX5Dt3mVec7Np139dXBt8aoqfGnRJruN2CA/Jubxaiuzr+bpR+ZIhcWtDKSqvyjjz7CiBEjAAAVFRXYsmULAODMM8/EkUceiVtvvTW1FIA9DFvKUVu6UZUaUyEEsHSp+doq1eSSJTJdpvN3JvymsEyG5mZg/vzE1Kd6Gk5bytZ8IF1lLymR6a2dKeW7usJLKW1Lke/GmjXA9dfbU75WVckUqYAsazQaS/8apI5GjwZeeCFY2XScKXIVQiS2PT2tcVGRrNP77pOpaKuqYumghZCpfj/6KPH6+uelS+VvnenLq6vDSytvwzm2DB8ux4HFi+XfciENuZ6iu7NTjlH6WDhxov39v/66fIaiImD58sSU1qtWyfektg0I0i8zkbZdf0eRiHyOUaNk+nCV8lmIWHr9UaNkuuAFC4DPPou/Xm0t8Ne/AjfdFKvHrq74dPqK6mr3VN2qf4waJbcr8ELVrZ5Our5e/uuW1lzNebNmJdb55s3x527cKP/2/PNyTlGp/21ji2N3FQCyrQTBT3tJJZW5sw04Uz2rd756tbn977uvHB9fein2nf6sgHl8f+EF+e+0acCLL8oxqqsr/r6m96XGsMWLZftxsmFDfFkAWdfXX2/u5251MXdu/PfV1bKsJSUyPbraNkP97eKL5b38bNvhlItWrjT3jaam2Hle71YfJ2bMkJ+d/c9ZXmcadyGAW26Rbdr0jm+4wb7NwIABcl7R39PgwbJPqPHCOf86OeOM2HYkiu98J1ZGG1OmxP9dvTOnfGfa4sOGaS7OeZLR0Orq6sQbb7whhBDisMMOE3feeacQQog//elPojpXHBgt5KLlKRlzvykzUBj3CBpIGRQ/7me5tjoehHSW3culLBUrl9vKstNdSv+bM0ZBX4W0ZdxLxpXQ1Cb9Hl6bgzrv4XeT5mQOvX5aW93fbxhxOV7lzrZV18udSlkjgta//s6THb8yEcdiW+HVx2ndemLrqybrjc16q+rFtjpcVSX7XUODtJ661bHTS8E037itQnvFl3hZzUzugs737NeNynm4xTyFPc7b2reX1cL0LKa2bhvf3dzg/GxDYbKIVFYmtklTP7fJI259XZ1n6gvJJAeyPbvX1gZB52LdWyisQyVYsX3vxzVS79fTp5vfQ3V1fFIRZxZNm2fAhAneCZ/0d5stMuK2d+6554qZM2cKIYS44447REVFhRg/fryoqqoS55xzTjKXzBi5qDwlM0HrQfQ2M2qy9zC5L4Xlzx00YQAxk4zS7edaaqDU34+Xu6hzQlHvWJ/kU3nXponO7z4XpsncKfR4ubcGcVsyHbr7jZeiE2Tyd/uNV7nTOWH5cXXxI1A0NMjxTe0bl0zd2wQHmyuTIsw+5sSvMjh+fOw3fgR+Z4yGVz8xJXKpq7PHOqhYCJtrkm0s0PuZ85pqnz91jslFr6lJiC1bvF2X3OY0kyuc1141KsNcGHG5XpiUO9Uuvd57XZ33XG1zzVPvSL9mdXVi8h1TXTU0ePfJigrvc5zvzm3MUueFFfvlplQqTDFNychHqc4htr6sxkdTnJOf+rDJhqY+bFM2TYdzQaOlxb0N9Jh9njo7O0WH40kffPBB8ZOf/ETMnTtXfPTRR8lcMmPkovKUrNCkN0C33wW9RzqtHEHum63kD/lg/QqzjH6v5ec8N6E4FSGjo0OuilVXywk5qB+4W/ye1+JCKpan8nJZVq+9nYJMYmGU22t1NVW8xpwgE7Febr+xeRUV9gUaN4FSkWof82sJsR2NjbFr+XlmtTDgdq6usPiNd1SxEH7qxrZI5lWfpr1rnEKYWxB7MgpyEIHWyzqWCqa+YlrQMW17oCu1+lytEkDMmBFbhHC+E1M/NMUJjh2b2EbGjw9ns1SnFd6P5cnP2OEndbvpOvoYoFuGGxoS37/Nsq3Hbfqtj2QWBd2uYUvGovd70yKfMz7N77ir171ez8XF9vefLbK2z9Nnn30mLr74YlFeXh7WJdNCLipPybrrBNkkL1UhIF0rsHoZTdl7slGmTDxvPuKnHblNbGEq3UFX8lJZXDAJYabUzslMLF5l0F1UnAHhfsutrIGmtMLpwkvATHYlVrmK6pty2t6F7b3bXNnCbKO29+NXGS8vjwm+bkJqdbV3SmB16IsIfstSWxvsuYP0PyFkeWxCoxJObcqTbeU6GQXeLfOeco837V2VSp8yjau2/qO3W6d1Un9m59HQkJgkQY0LpnlXf8a6usREG62t4ShPzjHNpsw7F3uc/V9vM15Kg2LbNumyVlIihfmaGvMClykZkNuY7PYubHVl28oirMO0UGZSztvaEi3KfscVt02lvcZ6v5n70klalacNGzaI0047Tey6665izz33FHPnzhWdnZ1ixowZonfv3uKwww7rzsKXq+Si8pQsmRTwU1G+/PzW5K6hOrSNdMUjpPva+YyfNucVPxWW0B7EGuTlFhBW+25pSfQhNx1eio6zDCb3xzDKnW78CK6m96f25rIppeo51XNPny4tFio2R4/VsPVd00pw2OOolzUx2Ti+VAUwNyuKW99N9rlt78HPyrzuFmVrE37KoVsItm1LFA7drFs1NfJ3pnigTC3gufUrv0qF6bl0K6GfWBWTe7ZXGzK1ea+24Ta2eW3CHKT/m96f7m5WVeV/kVcPr2hoMCtQXu3bdBQVxe8n5Xb4iYOzKede44rXwoFpUdzP+880aVWeLrjgArHPPvuIn/70p+LAAw8URUVF4uijjxZNTU1i8eLFSRU40xSS8pTLgpMTPwK3beJ0U55oecoMznZmm5j8uieEWZd+3Y38xBsle2/T9fwGyPqdMNyUp1TLmk68XKaCulQ5XfDcFGd9EaaoKCZobNkS+70uFFVXJ7qppFpf+jiiYm387KMW1lFVZVYInPFRzjKE4eZpsuiYhCyvBRC1Eacu0JWVxafM9rvvk2m/N6V8+1E+KyrcyxumEGizGrtZkIMsKLm1l5IS731+ANl3/VomystjfcvUtlJ1jTXFiLnNNyYlrr4+sRwzZsSfY3pem4u17oaqYqbU9hbV1fL6QfdgM9WdyaXTeY6bW6iznvT529QOTPVkarfKkuX1DLkgX6VVedp3333FwoULhRBCrFy5UkQiETF16tTAhcwmhaQ85Qt+rDi2FVg3c25Pj3kKG9sz2yZkNzek6mr75JusgBE0fsQZ2+En81AQ3JRrU3lMdeHXVUGffIL6h2d7ISDZ+9t+Z3JZdh7FxXYhorbW3J6d10+1vp34ESSUtSyMOAdbfzO1SWd9+hXcWlrs8Uz6c6tz3LKg+bVSm8YX2zVNZVDlTHXPOLeg91T6lm1s8+PC5sTLiqiE3rAyv+ltVikDra1mZVQpD7YFhFTqUG8jXhYRv4t8+rsxtSGbVdAUI+aGW7wwYLZaOb0qdEuX+rspZt3W5vRr2O5pq1uvOtCPxsbckK/SqjyVlJSITz75pPtzRUWF+Otf/xqshFmGylPmScbyVF7e8zLxZVths70nfUI2rTr5df0Ja3LUFTfTvZxKWthumG7X08tjSyfrVyhPtV2k+uxB7h8kdsPrGjaLlO19+xX29PLoMUD6ZF9REV5/NPUTXci0KVFusTjOw6k4OleZ9TbpFZdgWgAxbYIKuPdpr75iisPR69tLwTO1KdN44dcq7KzL2tpYprVrron/u3IxNWVq1MvuFSdqGtvcyqvXuUnw1hcR1PtTGeSC1IOfTJdOodyW6lz3AtAFe9P8YqpDL6XGa5zRLUB+3H1NdezsS6a5Um/fylpnW3wwLQ6VlMjy2RaF3OZC3crk1s/0tuh1mBYATXWg/66qKvcyLqdVeSoqKhJffPFF9+e+ffuKVatWBSthlqHylHn8xjzp6UB7Gtm2ENiEHD+Cl58BN9Wgaq/4EZN7m7pf2HXrVicmd5tx4xKFj0z5eaf67EF+r5/b0mJOb+8mDHm53ZgUkP79/SdgMLluuSlPfgQOL4JYd1R8gt5e/MYe6G6H+kq/n+yDysXNdA9T/TtTawdJ6x10YcC2SKNc95zPqdd1XZ2/eETbNg0mhaChwbvMfvqPbWxzay9e45/TCmTqU+p3TU0xBdGmoKsMp15119rqPRfo5bQlUfCK8/Jqr0Hja73ek0lxamiId6HUPRyciqKbsqrfK+gCkbMteGW59Eqr7uamb3qXXvVoSkjiTF6SK2ERaVWeIpGImDRpkjjxxBPFiSeeKEpKSsTEiRO7P6sjl+lpylM2rRnZtqTkG9lOUmGbPLxW29Q5pgk8FYHTb/m8yqBS/IaVaU5NUH5ch9wEiUxlGMqk5coUp+T8XFubuE+K+t4mRCnLUDJxAb16yVVb/R1UVsbfzylQesVwJKuA+i2zErh05UnPdKYflZUypktfiJoxw5+gogtepnpWwrHXM5jcntz207Ip07og6GaJScUVraYmVi5TzJtbP/ZqC34s9/pzNTbKc2zWHj+Wd3WeKamDm/UvlaOlxWzBdJYnSP9V5TTV4dix8d+NHeu+D6EXbuOkbVzQ99hyi611885wtolt22Qcnp7O2+sd+x3jTe9H37rA5HJrOqqrvWOeOjrix6QgSX0ySVqVpylTpvg6cpmepjxl05qRbUtKvpHt+nKbPNxiJvxeI1Uh3s+qWlub2Sc9zPq0CRumCcAtxiIX9rbwQ7KWJ9uh3lVQwcxvZinnoTLE+bmfaj9BhDq/+I21Ue3a9JxNTd4bu9bWJioRfi2eXvEWKoawpUW6rylrhE3A0u/j1o5slgX9mm6bbZriZv1mIPSycri9P6+2YOsTznvqGeNsh9pjyCnoeikjpvpy1r1b3ygpSXQjLS93f+cmy4NzfA7iOummIJo2U07XAqRtXND74rhxwa+ht4mgiwCNjYljhldMklsfMP3dTYnSF0lM87vXvJALc2HW9nnKFwpJefIjjOqDiW0zt3SUS5/McmF1IZfJZUudaUAN+j7dhCe/z+5HyLIJl2G1P5uwMWNG4jO4TYRuGYtyiWRintxScOsClu0IY++T2lp/K6hK+DKl6Q0jqN2vQGSz+KhnGTvW/VlKShLr3pkhzq3sfhVHJeC5vT8/7pZeMYm2+DBb/zbVsZ/3rg4VzG8qi1sada+24OYGZbOs+B0nglg0nXXidIvX+2JNjXdac9N93Vxy9frw0x+Ud4NaNNPHA/3dKtkmHQuQNuVZb4sqY6dp0XDcuESFT7mI6m08yPusqwvmauymcNv63bhx8h2YEts43fttde+1eFXw+zwVAoWkPPkZKPRzvPxdwy5XkEmG5C76hJfM+/QbOO52bb9CVjJCjl9sgr/Jj9uU/SjssuWa0u0lHDU1xeIsbEJabW3w4P5Uj0jE7JoT1C3GhFc7CMttymR5amjwV/Yg1kCTIKvcpmzJE/R+4xTsTNkwgygGjY3SZVElANATXZg+621PWSlNY5H+/urq4mMa/bYL2zjnZZ2y9fFkswc6r6m7U3r1u/Jy+a5Nlh+//cJNgNcVEJs8YZJlbN4JqWIbz0yKvD6e21wy29qCJ+6w1ZfXOSZLr+k8PUbV+b1XTGqQxDD6kQsL61SePMhV5SkZAciPiTrVjDTJoJdLz2ZF8pNUhfQgK1O2dunXvcc5sYStVNisKyZLq23SsK3eJUOQ1dZMKFq296FicLwUBZXUoaUlcZ+UdB+2bFbJvB89SDtIOZS1wcslq7RU7nmk2tTVV0sloqlJtn1lrfIr2KdSd0EsMLrga1JOnYKw12q8n7alZyHU4y6Uy5Wpj/hReoJaoZzvxBkTMnp0zPqj9ibTxxEVx2lrr6ZxUG/PuqugWv1PxqUWiFlpTYk2TBnmbO6pejpvXWbRYyD1ukyH9cm2+FFV5e7C3dGRWPdq7zLTuOBnby3TWOHnPOcYZotjtinOM2Yknq+7Bnp5lqi+rGcNzJWFdSpPHuSq8pRMh8/Ub4KSiXuki1xbxS8k/PpEewW1m4Qsm3CqAlrDiLfyEqhMK6FKKFKCrCl9b5A+YipHED9/kxBmc60xrUons6jjvFfQTSDHjJEK1IAB3iusYVhvvGJTbO/AhGnFedw4+UxucUtA7H7JrEqrMpksxW5ZTd3cy0yHrtAEUTCDLvyFsS+RvrjhTCOdzKKDyXqS7CKI28q8KZbHz1FeHp80RL+mKTtfWHWtFDG351KZ6vRyOPfnM43tJSWJSpqzXacjq6ltYaGuzj15kOl31dX2Ogk6hlVX25VQUzvyikF2G7v17/R69Yp3NilruSRnUXnyIFeVp2QCHZMRCNOtHKTLbJ4p8lnxy2fCUm5MyomyTqXyXk2/18vslaUrEkmchNyssqbrmwTiIM9mmhxNvzEJPX7rTV/RDhJ3kq3DLcZDCSgmRd2tTmyp873KojISCpGcIKvGXZOwYxJgTLgJveq5U3EB99Nm9TI4LRcqBXeQjYV1AdevK6ZtbDK9y2TnCzflSI0RyS4OqGfV261bv6ypkfXsVb8211uVwtpL6VMWNJuF2S3GzVnfqcSk+WHbNrOVT7UhvU+pNmJ6/qALSG6H051uwgT3PeP81IWtnXklHfHC1FdywVXPCZUnD3JVeSoUoT3fnyNd2XpIZrCtBqf6Xv3+3stNNshqt66EmPaomTAhmOJpmxz157EJPW4WAmWl0hVY04aPYQkPmTrcXERtbcG0su+WSMN5KKuQX7cs/TAJaG1tZldTr3ZsEkxV+ZJd8Egm2ZHudtTWlrgvkSlhhqlunPf0KoupH7a2mi1ZyS76uAnUShj3Os9NyaivTxyLbJvYuh3l5VKxqqtzV76Uxd/PYoE6P5l2rpJE6GNKRUVqC8R6m9Atd84FFa9YH/1dhhXLWVubaN0xJaSwlc3tuZua3NtT0D20TPNJrsmGVJ48yFXlKVfdxYKWKwzlI5t1ke/KX0/D2VZU8LYpoNVtddAPftuFlytfkMQDfpSOoO3TK+jX9Bxu9ebmMukUZMIQFvS68HJ9C/uwJSexufR57RflVUdBrE76u9KFJvXe/Fqe9Dbj5Z4Wxpitey24ZTi0tU+VHMOtLvTYHK++7cdSkOxc4WVRqqmRaeF167ZJcVOxbgMGmJVut7EoHX3Y5nYX5mGLc/PTrv2+F5OVTlnWbJZoN7dnU39K5tDTouvtvrbW/x5vpufX75dKdlhTn8w1ryQqTx7kqvKUqwRVJsJQPrKpwOSqEkvMuAkfzhXmIO5WJvy2C124TmVrAC/lybRBod/ye1kNnJO/LojV1cUEglQE/HQfDQ2y/G5B2Ka/ubUnr82i9fbY1CTL4KXomRQtk7JsSiNtiqVzBqU7369bzJMbXmNyWOO+/ry2uAi9nxUVyf4wY0Z82/ZKOqLOc36nK4ZeFhqvBAZuBI1lUmOa174+JgHdbSzyUnL8WIb0Nq7q0e8z1tXFlA3b/YqLY+m9W1sTrWklJcHatd/3oiuPSnmyLcq59YewFEr9nZvacbLyTJiWIueiiJ+N5bMFlScPqDwFI6glyStoMBkBlK5zxIbbxKyvlGWiXYWl+Hd0JArUNTXxn/WNBd36l16uVHakz8SRTNYp/RgzxltIScaF0C3Q2dTG/LgumbJZ6YebAqa3jYaG2KJBGItBXokmwkicYGpntuvYFk1MFiq3OlUKlvM7PY5Er1vb/UyKs1e9e1mebPdU/Ve3IOvWpCAJMZxWP5My7lVOm6XQr+teVVVsUWb6dHk93S1Tz54a9kKrzTKvj8W2zIQ2hdHp0ulWH1VVMZfIujpZB856tY1HYddFqp4a+rVs5c8l2Y7KkwdUnoIRdodMxvUpl1YnSG7hZ2JOJrFCsvgRVv0kVdGfS1cmVKYqmyChC29usVfqs628yQp4Qc5Phwue2x5Sfu5nSxfuNuGbhA4/e/GMHx97h37jokzPlUyb99Nm3a5j6oNhWZ5s13GW2c3C4uUepaw4zu9aW/21ea+Vf/1dmOra5oaXbNvUlR59TyG/iytuLn42d1SbZcupeDc0yIWCCRO8+6ApS6Dz0JXcMDxF9Peu3nHQtOhubdltMcq0WayfOc45B4RRF7ZrJXMPP/0iF6Dy5EG+KE9+BKyg1/Mj1OnnhNkhkw26T5frHF308h/TqveAAWaBN9vv2y3oW59EvDZVNSWecJuk9NgAWwyDaYXRT7B60KO4WApSKhYgk/s5+bVqKeVTFxbdFE2Te6gfFx1n8LfflXr9MO0z5mfMdVOMbAqd8zpuq+xB+kZLixT+q6riXbO83OHcBH+3wy3g38vaWlUVUwJsixf6u1GKmqmudetXWG1bvQtT/3W2Y328aWqy17nfuEnT+wFi79aPK6BTadPPV/vBBdlGwYuwPG1M81J9vdkN2vk8M2Ykynx6mUzjVxgWnGQWUfx4MCRjkc0GVJ48yBflKazVPOf1vFYg070yn2sWpVwrTy4TRPFwKv7K9SDMCU7H9B4z9W6D1IubcKVvDOkmcEciZuXQ7fpqVdiPAuS295MScFN1qysvj0857SZIVVXZV+br6/1brYKU2bb5pR9hUbc0jR0r683P3k6qjt3qw82i5iyfKT21qcxe2cJsAfmqzdkUgiDY7mOygujKnWqTSig3ZXvU331trfnepvFDr1tbW3COBTYFzpb9zJaBzRTnqF/DzfVU9WVbW1ZlTzaRiNvYl6olVW+LXmOX7sacDH7mjS1bYina1SbG+jO7KUm2w3S+yTKark1m/Ty7aaEkDMt2LpBXytNLL70kjj32WLHnnnsKAOKxxx7z/M3ixYvFoYceKsrKykRdXZ244447At0zX5SnIP7fyVzPdK10x4TkWidibJV/gigjtpXzTLrKpaOtma4ZpF7cVrN1YcXm6lVdbRdY3SZuZVHSy+BH8FL1aRLqdQtWGLFKproxCYDquU0p3E2CSZiWM1U/pvalW6r695dKojPzlkk5Vhsp64JSZWX8d2PGxATe2lpzdjVTSmRb3IKpDdsEXxXzlGz8nA03S6ub1ctP2uemJm+BV/fy0K1d27a5tx/dZc2PO55zvPATV+jXiqm3Ua92P25c4jlON9Jk45f9WFDLy+0JOXR3R6/slSqJQyr4eS69r9kUcb1vm8qsti9oapKLLPrfTTF5znYd5pyXjJU6rE2ic4G8Up6efvppcc0114jf//73wo/ytGrVKtG7d28xdepU8d5774lf//rXorS0VDzyyCO+75kvylMhWp5yjZ72vKkQRNF0EwTSPbimU0E3tRc/9eLH7W3cOH8r1yo9rVdyCJsgYvqbV9KE6mq7W52ePckk4OhB30EPJcjpFoYZM+RhclXShZVk90vyc+hjh1t2NqVseFmXnO3J5P6jt0fT71Jxk3ZTVsNy03Pe09a+TG3K6dLnRyHWUzqbCDo/6oezDXrFvpiUbi9FQ7n9+Ymfa2oKtlBgUsi8rPfJWClMh21fLt367UcRC0N58qKjwzyeqW0y3Czkfiy4pvdgq0e9P6cqz/j5vb7Q4LadQL4RVDcoQRY5+uijcfTRR/s+/84778S+++6Lm2++GQBwwAEH4PXXX8cvf/lLnHTSSYHuvXPnTuzcuTPh+6KiIpSUlMSdZyMSiaC0tDSpczs6OiCEsJ7b3FyKzk5gwQKguLgDp50m8LOfAfot/F73Zz+TXe7ll3th1CiguTnxXHXOihXA8OFAc3Ov7r9Fo1F0dXVZn69XL//nlpaWIhKJpPXczs5OdHZ2up7b3CzPffnlTowY0WmsXwAoKSlBUVGRr+tm4tyuri5Eo1HrucXFxSguLg713JEjgRdfLEZnZzEiEWDkyC7s3Ol9LgBEIgIlJR3/97vEOnaWQQiBjo4Oa3md/dN07pw5QHu7bMeLFhUBKEFLS7DrAua+vHw5UFICCFGEaLQEy5YBo0YBL720E0LA+HyRSARz5pRi5kxZptLSnaiqAjZujL/26NHAz38eQVtbKVSXHDeuAx99JLBmTey8tWuBtjZg2rQIWlri+/3OnaK7nI4hAUAEHR2lWLYMePppYMGCDqxZEz9GlJYCRUVAVxfQ0RHryyUlHfjPfwReflm/pmTDhti5TU1RlJR0Gc8rLtavG0UkYu/LHR2lAGT/fOmlKPbaqwvf/jbwySeyHrdulc+5ZEn8ucXFUdTUdOHLL+PLu3Wr/ByNlkIIdW4niorsfS7IucuWlQAo6j63tNR+7q23lmDDhiIIARQVdaK42H7uqlXyXCB2bkmJbGOqPSo6O0vQ1SXPPfLILhQXR/HSSzC2zeLiYghRjPZ2YNmyLowcGcXjj8vrdXUBL78cu3ZnZzGqqooxdSpw1VVdmDMnisWLY/dduxb4+c+Bq6/2P57MmQPMni3HiOefB+rqBEpLY/2zrk4ew4cDnZ3AsmWx8WTjRoH//KcD7e1AVVViu+zqKkJnpyx8JCIwenQHvv4auOEG+VxdXbI9jhgBXHllEcrLZV8WIlaG5csTx6lp0+R4smyZLNeyZTuxdKmqo/hyvPyyPLe5GVi8WJ4rywOcdZasK1lWYNu2CDo7S1FfL99VXd1OfPwxsHo1un9zySXAVVcBQkTwwguxMUKWV36oqAAuvxy47DLg8MOB0tLI//WN2Ln9+wts3hwr56hRsk85z62vB664ogMnniji2pezTpYt69VdhuLiDixbJtDWFpMdrrhCtrfFi737/ZYtsbpznvvyy1H8/OdduOIKYNmyxPes9/szzugyzt/y2cORI+bMkW3n/5p49xgxa1ZsjDCNf6efDhQXl2Dp0iJ0dQElJZ3o6urE0qXynS9eLN/F/vvLuaF//xKccUYRpk0DXnopcTxx9mclGyxbBkQinSgpkefeeqscH1Vbv+IKoLzcLkfo8t+VVxYDSOzLRUXAxx/Lc9euBcaOlf1+5MhiNDenTz7xmsNTlSPc5HcTEWGT4DNMJBLBY489hhNOOMF6zpgxY3DIIYdg7ty53d899thjOOWUU/D111/HKRGKHTt2YMeOHd2fN2/ejEGDBuGqq65CeXl5wvn7778/TjvttO7P7e3t1pdQU1ODKVOmdH++4YYb8PXXXxvP3WuvvXDeeed1f7755puxadMm47m77bYbLrzwwu7Pt99+O7788kvjuZWVlbj00ku7P//617/Gp59+ajy3d+/euOKKKwAA0Sjw85/fA+BD47lSuWju/nz//ffjX//6l/FcAGhtbe3+/8MPP4z33nvPeu7VV1/drWw9/vjjePvtt63n/uxnP0OfPn0AAH/84x/x+uuvW8+dOnUqqqqqAADPPfccVqxYYT33ggsuwMCBAwEAixcvxksvvWQ990c/+hH23ntvAMDLL7+M559/3nru5MmTUVtbCwB49dVX8cwzz1jPPfXUU/GNb3wDAPDWW2/hiSeesJ578skn48ADDwQA/O1vf8MjjzxiPff444/HwQcfDAB4//338cADD1jPPfroozFs2DAAwJo1azB//nzrucB4vPzySIwaBUyZ8gl+85u7rGcK0YD77muEEMABB3yBYcPusJ47fPhwTJw4EQCwcePGuP6tc9hhh+GYY44BAGzduhW//OUvree+9dZQbN16Ap57TipDc+bMsZ77rW99Cz/4wQ+6P7e1tVnPff/9/fHAA6dh5ky5CPHzn7cDMI8R++5bgwcemIKFC+XnK664AX36mMeILVv2wo03xsaIq666GeXl5jFCiN0gxIVYsEB+PvPM2xGJmMeIjRsrcfPNl6KlRU6kX375a+y6q3mM2Lq1N2644Yruz1Om3IPaWvMYsXNnKdrbY2PEJZfcjwED7GPEzJmxMeIHP3gYBx5oHyN+/vOruwWpE054HAcfbB8jrr/+Z/j6azlGnHjiHzF0qH2MuPnmqdi4sQoAMGHCcxg50j5G3HbbBfjySzlGNDYuRmOjfYwAfoTWVjlGzJz5MiIR+xhxzz2TsWZNLQDg8MNfxTHH2MeI3/72VPzrX3KMOPjgt3DCCfYx4qGHTsZ778kx4uST/4Zvf9t9jPjDHw7GzJnAfvu9j9NPt48Rf/zj0ejbdxhefNF7jBg/fjxGjhwJAPjkk09w1132MWLx4gYsXtwIADjkkC9w/PH2MeLll4dj4UI5RlRVbcSll9rHCCEOA3AMli0Diou3YsQI+xixbt1QrFx5AqJR4OWXd6K5OZwxAtgfra2nIRoFZs8GOjvb45TD+PLWYNasKd1KbmvrDQDMY8See+6FdevOw9y5wPr1wKWX3oyqKvMY8cUXu+H222NyxIUX3o6BA93HCPlcwJ57ussR27Zd0b0g5DZGdHaWYvbs2Bhx7rn3Y9Cg8MaIPn164bDDgFGjHgcQjhxx0UVTcfvtVVi2DBg58jkA4YwRP/rRj7D77nujvR1Yvfpl1NbaxwhgMlpbazFrFvDUU+5jhJIjZs0CHnvMfYwIIkcAx+Oaaw5GSUm4csSaNeNRVzcSzc3A55+7jxENDQ1obGwEAHzxxRe44470yRHbt2/Hddddh02bNqF///7W3yqKPM/IIdatW4fdd9897rvdd98d0WgU//73v42/mTNnDiorK7uPQYMGZaKoOU97O+JWtDNJNArMmgVMnAi46E0kxxg/HnjuOXQL4W40NgIrVwKrVgG/+U1Gimdk1Kjwr7nrruhWnEpKzBYZxUcfyTL830KmK/36xZ/nsiCHTZtkH1q1Sh6WtZVu9t0X+NWvgNZWwLGWFCoDBoR3rcrK5H5XVhZeGYJw9tny32hUWhPCpqIC2G03/+d/9JH3OdLa4u96RT4lhbvuku3Sre3qRCLAccd5nxPketOnA2PGSEuTG+vWAQsXAosWSetvWAgh66C9XSpPbvWsrKnqdy4L5ohE5Pg7dWp4ZXVSXw9MmwZY9KZumpvlGDhhAvB/a4VGysulMjZhgvz3/+RgK42NQHW1//IOGAA88wwwdKj/33hx223y2RYulNa2MGlvl9d+/3338x55RPYjZdn0Q3Mz4GJ7CMzjj8vyhs3778s6SMe1M0oaXAeTAvCOedp///1Fe3t73HfLli0TAMRnn31m/M327dvFpk2buo+1a9cKAOLLL78UO3bsSDg6NOdt0znq2LlzZ9Ln7ty5M+Pn7tixo/u8CROEKCnZKUpLd4jS0h3iqKPs5wohREdHh6/r+jl35syubj/ZkpIOMXOm/dyuri7f13WeG41GQzu3s7Mzp87t7Ox0PTcajaZ87syZO0SvXrJt9OolPyd73a6urtDOdfZP57lHHbWjuy2Xlu4QAwfuEDNndnT7zAe5rhDufdntXL0cRx21My6+Y+bMHWLr1sRrbt26Q7S07IyL1ykt3Rl3Leex22474/zfS0t3dvfhrVt3iP32c56/M85PX/X7XXbZIcrKEq8dH5NgL4Pz3MpKIcaNk335G98wnxuJyHiB4mLZ7/W/q3a2Y8cOUV3d1X3t4uLEc53lBrpEdbWMGWhtTTw3vgzO60a779vUZD+3rk6I+vqo9ZozZ8b6Z1tb7Lr2MnR2x3sUFcWfu9tu8v2NGyc/FxV1xpXXNlaOGxd/bl1dpzjqKFm2iRP1Nin7nIpxKCrqjKt7vf8XF0e7YxlUv5ftVb7rb3xjhxg7Vp5fXBztjn3Qxwi9b+y3X7Q73mPnTnv/3Lp1h5g5MyrGjZMb1kYiXa71W1LS0R2XAbifW1zc4aizru7n0dvwN76xQ2zbFt/vd9st/pyKilidlZR0xMWrOK+j/66kJL4v296xrIedYsKE2CayAwfuFOPG7RCbNsW/O9Xv9TFC72/jxqky7+x+by0t8f2+pcV9vt+5c2dce1HPqcY6Jx0dHY7yJR7OjJSmMSJ+7OnqjgsKIht4nTthQvwY4ZSN5DvYIfr3TxxPmpqiYsKExPfrHCNUe1BjxDe+sUNMmLBD7Lpr4hihEoQ4xylT29DlCP1dOH/rJUc4+2hRUbQ7rsp5rqoDNb5s3epPNlDXLi6Odsds5ZIc8eWXXwaKecor5Wn06NHikksuifvu0UcfFSUlJQlKhI18SRiRbrKZLEEPgLRtrkeyR75lIsyV5B9e5bAlepg+3R4IXVubmBTBlJSgvl4KPpncM8l02DLu6UHozkMpP6o+3JIumA7VPvWAZr+B86aMY856te2LpfcNP0HybnWlgt5tWdVs/dC5EWltrX3fIz2DWarZ1NwSVgTtG37wW79+knE468nPoWcV1PuZKQ25Wx3Z2ppt/rNlFjSlb9eTbJSUyPLp/aqhITELoS1BiZ/2Ytv7yfnblpbYfkapJpPxqjMbXgl33FLjt7WZxwN1Lf17Z5ZL07XdkmEkIxs5s6667YOVavbYoOTKHG0jr7LtOfGjPE2bNk0ccMABcd/993//tzjyyCN934fKkySbacP1TuS2jwfJDrk+0OnkShp8r3LowpTKHOaW4tv0t6qq2GaifgRF/XDLsBeJJP7dTXnwc9TUSIHJlo1Kb2N6et7KSvcy25RUv8qTlxDjdjj3lwl6DdOeRG7Z57w26G1rS6zjsBenvPbvsQmcXsKcfr6XYBvkUCmhbfViaid6m9f3tJk+PaawNjXJ9m1L+e6nHbopG62t7n2wrk6eo+p47NjErHumudaU4t5Pdsege4bZfusn9bpaFGptjWUi9er/Xm3XbYPfZNufabGmuloubJiu7ZWhL93zrumdhDmP6tfy2uw62+SV8rRlyxbx5ptvijfffFMAEDfddJN48803xYcffiiEEOKqq64SZ555Zvf5KlX5ZZddJt577z1x9913i0JNVV7I6J1KT7+a61aOnkCuKCPpJBvPGNQy4ecIkpa4qEgqMn72RtKFgLDLrR9OYVYJFn6ezbR/kUlJtT1DVZWc2PVU6Pq9bcpbS0t8m5JuT/6euaHBLMzp99YFZ32PF9Mzp0sAc7Me6ptiK4tYkPL4WfkP2kbq690X6WwWgyB72riNJ179vqLC+10mc+htXlekTft46RYutTiQzD5A6plMCllHh2wfXtsImOo52f2FbPXq9/emffK8xkZbe7eVpbY2vZvK254l7EWWfFuAzSvladGiRQJAwjF58mQhhBCTJ08WDQ0Ncb9ZvHixOOSQQ0SvXr1EbW1twW6SG5R8FnbzrZORwiAb7S5Z64aXYOhH0FJKhi4cKQuWn3upc52xCc6jrCz55zAJt25Cp+7q58Qk6KkxUi97Q0NinTQ2ml0HTVZAk3DntaGnU2AxlVe3ctgUBLeNVtXeQGHPBfp9bBYR26auXkpH0MU0paD5UVhtgqlpo9wtW9wtS0E2BzZZUvX25rxOOhZZgMQxTn8/aowwPZef8dLmCmYri0kRMo0LbosjQcZuU736/X1Hh7k962OC3h9s7TfZ/hqWrJduD6B8c/3Pq32eGhsbIYSw/v2ee+5J+K6hoQF/+ctf0liq/ERlcRECUJm0W1pSv67KGKT2tFEZxsJEZUR33oOQdOPMNiaE/Jxupk0D/ud/Evd5AmS/cstSVl8PDBoE6Fn1zzhDZj9cskT+fu3a2N9WrYq/fkkJcN99yZf/u98Fnn0WGDLE/AzJZvKrr5fPoL+PUaPkeKZPE01NMvOjbSxy/i4SkZ9LSuSYuHRpbIwEZLZEvU6c+xg52b7dfC8n7e2J70hRXh67RiQiM8KZyqveqaqDri6ZfUuvB2e7HTUK3SnxAZmBzDleu43lzr8NHy7LsHy5eczXy7rnnvHtzFk2UzZVU32pnS4WLkzM3vb663Jumz7d/L6vv15my/PDmjVynyUAmDQp/vna2uShmDUrdt1Fi+Q7aGmJ1UtXl/85V39vF18M9Ool63vnzlh7W7hQvosg2Qr9Ul8vn9X5rkeOlGV75x3ZXp5+OtZPdPzM06bf2sbVZctkOUxtx8miRcC118q6BmT5OzvlPmAAcOaZ/mUGfTyprwcmTzb/Xu8vXV3mdqaPCWVlwLZt8v9q7PEqSyQiMyj6kdnCkvX096n2nALCmQ9NY3BBkV5dLvcoVMtTurR8WoVIoZKNtq2vQKuVy9ZWubLttgJbX59o0Rg9Wq5a69Ygt5XEIG5+prLa4nH8xEXZ3OdUzJHNB3/cOPnsTsuA24qrbXVWXz1WFoRk3BKLiuQzNzbGxzXoY3FRkbz+jBl2v3+38urxQm4JIEyWBHXN1lZ3tzWT9dJP0hPndfXf2iwbTkzWAJMrl61/BrXS6Fa9INd1WptMrmO292hyW1MWMz1pgltbDJLkQk8cop4z0+Oemzup33en3Pxs8Up+rTFBrDZ6PSUzbpraezJlcZIvsl6+eUPlldteNihE5ckkEIQ1IOab6ZUQv2RjcDdNwNXVUii75hr5f7/xMoD7uUrR0d2UTApcqofNRauuLqb06EKhii1SipApniXsTFC6C1FtbWrKpFNIUtiU4Orq4O1ML29Tk3vgtU0Y9YrZcRNibdnMdMVu7NhEBddPkLjJrcsURG+be0y/r66W7V7PPukndsntul7uk7Y2alKebMkSbMljnO9ev55J2Wxqiq979Vu9btM9p7slDPHrxqwSpdjildKhEJpcaYOOC/X14c8v6VJ+803ZCRsqTx4UovIUdIINem1anggJZ3IJMgEHUaLcDpXQQBdivMqy777uWQCdgmp9vVQaVApip1LkJvTYMI07YSzkpCuWZMCA2D3c4p38jKHOdmZ6R7bf22IynIJcUMuT2z3DipkwLf4FyajmtXjoZilzK6fpuqb34cyAaItj0RXqlhZ7ljW5l1Xsc0VFbE5XmIL9TZnzbO8rSHtMBa9Mi9u2+bP6trS4xyulY5FXb9+xvcOSO4JYzr3qVI/P62mKTjqg8uRBISpPpoEjLKWnp69GEKIIo0/Z9mpJ5+FMNez83ktocdtrSbmD6YqCM223Ipkg7VTGtDBTXXtlAjMJqjah2K9g51VGv5YS3W3LLcGBbvXzY50xKQrJCrCmtMZBBMQg6dCDuHjpZTD1X+dz2vr3mDHSAubcYsCWdGXsWLt1qbpa/uvsm6ov6Ik2xo/3fl/pntNtbVkpnG7joZ5RUr+WM4W5W+rxZLElv9AVW73cfl2A3cro1Ua5qB0+VJ48KETlKV2rtISQGGH0Keek6Fyp9zr8bPhaVWVWeOrqzO46XodJCNAz3Nn2hHFiEnqcAoFX+umgcQ1ugoVb/evPqzYN9RKG1HkKN+uPHqNkeh69nTnvHyRGJ5XUw36Es7AsT2ESplBpupYpk6JzwSCoS6wpO2VLi78sdHpf8nr2bAjcbpZetzgiU6yQH2XGbR+0MDBZMU3vxM+7D2p5d0L5LnyoPHlQiMqT16DClQlCUifsPmVLnW0TuFWAuWnVWgkbJuGusdGupCmf/CATvnO80RWL4mK5yh4k7sXN0pKMMORXiTBZO0yfvVwX9bag3pNpk1Xn/W3tyeQu5FZ/boH0yeJHUfWqv2x4KZjiVJItj01A1RUk5z5fQd1C9WQRqsx+No/VhWavd5YNLxIvK2p1dWrKTyaUCLd6U9ZJ5/5w+nhre59BLe9ObIp9tvtfPkPlyYN8Vp6CdI5c7ki5XDZCbITVbvXrmFzDIhH5vXLh0TcbDSJE6e48pgncJuSYrB5eAlEQIUEId4EzGWEoLIuI7Tlra/25qHkpF7b9jIK2s0yvvucqbjFfySiTNgFVX2gYNy7m3hc0a6OfmELbebm2KGpqt37iLHX3vGQz4pmuFQZBrbC2Z5o+XbYPU4bOoPfkgnn4UHnyIJ+Vp0LpHIXyHD0RKr6p09YWLzzYEkM4BTavleiWlpiCpTb1VJOzTQmoqEjMdKcLN8XFUnCrq4tZkYIGTScb45Ps2OClPOqKpi22xqbU1dUlZ+UJS6nToQuPRO9XuiITtF5sAqpJ+Df1rZqa+O/GjJGKd3l5TIC+5hp/fWjMGPk85eXxiyq2uLVsWJ78KDIm5dOPVcWGzQ03TLnC1r/cEruYMlQm+1x+3xXHgdSg8uRBPitPhdI5CuU5eiK5pvi6rXaGbSEKS9gI4tqj7u11XmureU8d53OYlB6by5lJoWtrSy7NuVcbUeXT47UaGsKpc7c2a6pbL2ucLqA7FS63NhNmTJLf5ytE/MaK+d3Pyc+1Ffo9dEXapFjZrC5q7y+VoVJX9pTy4Vcp8GoH6bZQ2sY1U59LRzxPkN8la93S3WuDjHvplnt62jgQNkF1A8v+7CQXKZQdm1N9Dn3nb7VDPEk/y5bJ9wbIf1PdhTxVTLutA/53YHdrS2Ht5K4zahSwcGH8d9XVsi/06wd8+GHs+xEj/NXxLbfEdrVXvP22/LekRJa7uVk+09y5wPr18m/6O7z+emDx4tg7djJ/PvDZZ95lcT7TJZfEdrL3Yt26+M9r14bTr9X9ne9YYapb9Z06b8kSoKsLKC4GVq2Sh2LDBqCoyN5mOjvl75Ytk20tEomNe2PGhNOe3J4v02RibLb1yxEj4vvVqacCy5fLfjB0KDBtWvLXVjjnLgDYuFG2ARtvvSX7gbPNKDZsAGbPBpqagH/+M3b/ZcuA4cNlG1m+XI4HtjHXWd8rV7qPzc6xG5Blam0FOjpkOVJFrxuFXhav9pqsfBDkd0HGdlN5o1E5Hrqh13+65bdUxoFU+m2PlcfSrMzlHPlseSoUl6lUn4MrLNkj1+retJoXZIXP7XnStVKou+E572sKRvdjeTIdDQ3mfhbkmf0cAwYkWo3q6vz3a5uFx5S5L2zcLE9C+Muu5UwJrdefnjQiSExGPo336UhaYcNvIoeGhuBjlVefd7PipnK4JRNxHn4sp7bntV2zpCR5Nz/nOc6Nrb2sZbZrmxIw+N3HKEh/SXVs9xqTgzxzLpDKvJ5rMkGy0G3Pg3xWnoiEbn/ZI9cmANPAHWQwd2tL6ZwU9EDqsWNj8Uq6EqIEibq6xDgK/aiujsU86RtzOjPy2VwddaGwpCR2b9s929oSXQZra5PPmKUO055RYdS5/txu+wnpbaClxX0zUi9XvyBjVT4JJW4KcDpja5z1orejZPad8lvnbosMyW5u7fYs9fXxe1gpRcW0/YDNHU+1f1OGP1N/81MX+ntXiwNORcpUFjdXOL0dpaPtp9q3vBaZTKnWc5lUZKpCkceoPHlA5Sn/ySehgqSXVGOe3NpSJhTFoJvmjhnj/ncvK5KyZOmbiba2usdD6Kv6+qqwKaOfV7+0KWxu+0Cl8h6SedcmwWDcuPjvxo1LvI5JqA06VqUrhsMvfhIQKMXTtFmo33aQarlUFkPd6pVMAgG/9eimJNsy6KlNXd0WItQ71seFxsbEPmo7vCy2jY3+fuen/fmNc/L6nbq27XqppJx3oi9auW2m7IaX5SnfFAhanqg8eULlKf/JNesHyV+y3ZZsgtSAAWbXIDchVV/lN03wplTKkYh7BqyODveNQYUwK4FBs+zZVszDmpyTsTIma9n0+2xuBHnudAgwXtf0EiAzJUja6jqd+065ue9VVib2S+f9bfWmLJttbeZxwa+roJfypJLC6BYo/XfJtHO/792tv3k9XypWnbD6iVsG1HxUIFKZB7M9h4YFE0aQgkcFwBOSKtluSxs3Jn4XiQBTp8r/t7bG/628PDExhKKrK/5zc7NM/rBoUew7U3C7ELH7CpEYzNzeDrz0UvxvbrlFJkpQQcmLFyde1ysgWg9gHzzY/C7CSlLiFrBtu4dXsglbYLYp2URQggSApyORi9c1TfcYMEAmZ3C2uWhUHqkGkdsC093akd6ewg6MX7YsMRlEJAK0tdnv0dwskw04f1dRAey5p2wvL70U/zz6tW1/U5xxhvvfy8uBF1+UY8usWbHvBw0CJk6MldlP+3OeE43Gks14JUSwXdtWN84xb9Ei+R6SGbfD7CfOxD4AUF8v2162k7YkQyrzYLbn0KyRZmUu56DliRCSK+iryRUV7vE4ehyTfugrnm57kTiP2trY5q/OPaKE8HbNMa0W+4l18bsKHOZqsW2FNF2uJ0Gum8oKbq5YnlS5bQlR0lGeMC10QduIqQ6cMXB+yuH3UFYpvR+PGSNd8Ux91/Zc27bFjy2Njam3n3S515osPMlaM1PpJ/qeUl5jL8kv6LbnAZUnQkiuoCtDM2a4n+/mLuKltOiCXm2tv72f3FxpTNkN/QoSfoWtTLiFZGpPr2QzP3qR7Zgnrw2Gw3DdM13TlJ1txgx7sgKvcrm9A9v9p0+X91Yb35qUF1Vfqj5bWmL7O7m54poyziWzn5VJIXF+9tq4NpOYFD3THnam9+unzYaxQGEad9PpJkrSD5UnD6g8EUJyBT1WyE+GOS8FSglPunBrEiptViU95skW31FfbxZsCikNdyr4UYhsSSbyIejc9h4zZQnzsuCYFgLcyhV29k1nH3TGG+oKjB/FwFYOP4qPVwr9ZDYUdnvmdCrybolA0mVBFsKfBb4QEif0VBjzRAghecLy5e6fTZSUuMdpKD/+9vb4mIbZs6Vv+qhR8pzZs+UGmSai0fj4h5YWYOnSxPgOtWlsU5Msk984knRtQJxr6LFPS5fKd2LbjFmRL5ug295jOjbuNV1z0qT4etMRQsbQqPpOZYNW22apbjFUeh90luuVV+LLPmCAjHWcNk1uVr1smfy9KWbKWY6uLnkPU5mdz+XcQFiPmzztNKC0NJz3lY6+7YyrmTgxVm9CxMctpXMTd30TYH3Mc7bFsO9Ncg8qT4QQkiVGjIgXakaM8Pc7fSJXKOEpGpVCo86CBcDq1fJ3zvs6qa2NBX47hZ/OTnt5SkqA557zV3YgfCEnG7vc+7mnEvpmzYoJlC+8IP+mhEE94YESovMh6Fx/j0uWyGdVdfL00+G9B1Nguq0fOFm1KpZgwCu43U25Mv3W+V5VX2lujrWLlSvt99IVmKlTE9uKSfnQyxGNyuQty5YBw4dLZcq58KGURj0Rg5Pi4mAKjlvbT6cCA7gruG5/SxVT23C27XTem+QeVJ4IKSCyIUSS5NGFPjchEIi93yVLgMZGKfSMGCEn6+XLY++8vd0uKHndY/Nms/BTVGQ+PxlBIWxBIxuWrCD3dBMo9bpQQnSu4Dam6GXv6srsezBlNRwxQi4SONu/XwE+aOYw03s1WRKd1NXJLJvOzJf19TFL1vz57sqH6X2oMtsUr5ISYPJke7n8WLyduLX9dCsRbgpuOiyeilQUb1J4UKwipIDoKe5QhcKKFfGfFywAZsywK7zO9xuJyP/b0ns7KS8HjjwS+Ogj9/JEIjLVtCnl8JgxMsWxzW0lCGELGule7U71nkHdwXIJtzFFL/vSpcEF/1QWd2wCbXFxfD9JVoD3Kq9u+Vq5EvjgA3fF6ayzZCpzJ5Mny+vOmpW46KGX3e19uLXJZNOKm/B7n3S0ZzclJptps3tsyu4eCpUnQgqIbAiRJDnU/jdOnC5G6hyn8OYlnCp0YX348JiwBADV1dJtaPv22G/KyuR5kUjMqjV6dPweLEA4gm/YgkY2XGaC3DOoO1gu4Tam6GWfNUu6JdrqJFOLO2EJ8F7lVddVLnE2a69iypTEPqusTqq8tr8pglgxnfXvfFcmpTAIfu9DSKFC5YmQAoJ+1/lDe3v8ZqIKpzDkFN4WLpRKj8Lt/eruTG+/Hb8abtosd8eO2Ga3JquWm1CUbXfRdK92m54vyD3zWaDUrSt6MhG3ZAZBBP8wCau+vcqr7mPaLFdHKULt7fH1WVMjkw2MGiVdDp3jt7JIOQnDiplq/eS6tTSTZHvsI9mBr5iQAoKTWv5gEhx1YUhPJqCUnvp64IwzEoPDgVhMVFcXsGaNTBARFFPwv5tQEKZFIRlhJN3Kie358k0hSqZunWPKzp0xhX/hwliMk8LrPeTb4o7f8vpJXKEUIZv73PPPS5fdmTPdx+9csGKm6z5e7TMXFRW6yvdQ0pw6PecoxH2eesqeKYQUCh0dQjQ0JO61ovqv295K6lz9b01N9vPVUVGReF/TYdpI023fkjA3Rc3F/VLSselrNki1bvX2VV8f7Pe5NleFtamqvgGuc08nQIjycvPmuYXSrsLCq32GNTaE2Q75DgsD7vPUA+HKByH5RXs78NJL8d+dcYY5axYg3fWcrnYmFyGTC6DOnnsCDQ3x966qktm/FCpVth5fNXeu/L9ptTdMi0Iuxu1lymKS7pX1bNdtrrkves2dfstrS2Ou2L4dOPBAaX1yy1aY65a4dOPVPsNqv2HKTLnwDnPRIlfosHoLgGxPiISQYJj6qDPznu6ud+ihMtud2jvGK77CxhlnJGb4i0TkoSZ/534zKvgfANavlwJHZ6dMJpFs/I8XuSCM6GTKHTbdC2HJ1q0SznS3tDPOCK9sQcqhC4nJCo/pmjtnzEhMl75qVczF0ZatsKe7WXu1z7DGhjDfey68Qy6gZx4qTwVALgobhBA7o0YlblLrttnjmDF2q1R9vQw61y1P5eVARQXQv7/co0kpSfrGvBs2mNOOq3/nzpWKEyDv6dxoNx3xP7kgjOhkymKS7oWwZOtW37uovj5mRckkNiGxvR1obZWfFy6UcUTPPeeuQOnZLsOcO237KnllK+zpeLXPsMaGMGWmXHiHXEDPPFSeCoBcFDYIIXaam6UF5777pMtcdbUMvlfCXGen3BMGAM4803sjyGgUOOAAmSBCsX27PJzufrNmyVXx+vr4VfGSEilsOnEKBc49c4D0TtS5IIxki3QvhCVbt7oldPDg7Lwjm5Cot8FFi4AhQxLd5Jzo2S4bG8OdO/U05gAXN73wap9hjQ2FJjNxAT3zUHkqAHqysEEKk0L34S4pkRtlqs08N2yQik1Rkfz77NmxibCoKP7ZTf29vT1ecdJjpBRCSLc956p40D2KurpkWQthos61dparQl22hTP1nlaujH2nymHaLw0wu8k5MaUdT8UFUEf1U5WeXF/scGbFdO6pZrpX2O0019q9iXSWUR9Do1F/mUVztd5yddwoaNKcwCLnKMRse4QUGrmYcS0dmDI16d8NGOCdEUr/TX19rP70LHrqWi0tsax9ra3+M07lWsa0VMi3dpatus/2O3e+Jz0zZVube+ZIW/Yz27tPpU347Vf685ju5azzIJkv/ZAP7T6TZfR7r3yoN5IczLZHCMl7eooPt76iP3y4zHLnRCVqAGKrpfoKqB7HNGiQdPdbvlxeMxKR/3eulhYXx2KXlNUr2cxi+Uqy7SxbK9DZCgzP9jt3cxvU31lFBbBtm/y/n42k9dX6VMae9vb4LHttbeZ+pT+P6V56nJntPDds7TQfxtdMltHvvfKh3khmoPJECMk5su0mlClMLnGmlONugpXaXLOpKfbbl14C3nkHuOQSYPp0s2BPQSD5dpYtJaanvjO396T/7YorErNBmrAphKmMPab3ob5zKjLRaCzDpcJrg2zbeW7Y2mmq42smFg8yOQcksxlyIc9LxBsqT4SQnKOn+HDrAtzEiebz3AQrlQHPuVcTIGOe1Mq3Ke6ikASBZIW5ZNtZtpSYXH9n6RKq3d6T6W+p3DOVsccti6ZuSWpqkn1Tj3ly/k69a3W+nhHTC1s7TXV8TffiQTTqnjQnbPzWR0+Zl4g3VJ4IITlHtt2EsoVfgUk/z23fp7lzZermxYvjhZ0wBIFMrED7uUeywlyy7SxbSkyuC2/pEqrd3pPb35Jpn6mMPSqL5oIF8rNT6NctSaYMl/q11O+C9C2bhcvZTlMdX9O9eNDe7p40J2xS2QyZ9EyoPBFCSI7gV2BynvfBBzJ2ycb69fGugErYCUMQyIT7mp97ZNoSlG4lxib057rwlmtuhZl0r1TvTGWz1PtuUIVbvWt13UmT/ClRJgtXUIuVF+lePEhnO8rVjHkkv2CTIYSQHCGZFdCxY+OVp5oa6Qb02WexwHknYQo7YQg5XsKMn3tk2hKUbiUmmU1fc4FccyvMlDIXjUqXW7VIYXpnYWxQ7EcBDGrhSoZ0Lx4MHx7v/jh8eHjXzla8IikscnwoJoQQ4kZxcfzn/feXgsesWfmxAu0lzPi5R667swXFtOlre3vuC3m59h4ypczpG+4CsXem4g2dezoB/i0gQRXATDxzuhcP1Gbcts+pkGvWUZKfUHkihJA8ZvRo4IUXYsLS6NHyeyW4OoW2sN1UwhCWvYQZP/fIdXe2oJgSD8ydK//NZTejXHsP6VDmTEqPW2prU8rxF14wxyGGkf0v1xTYZFi+3P2zE/19TJsGXH+9XSnNNesoyU9ydAgmhBDiB5uwpARZpwXqhRfk38IScMMQlr2EmVwTyDNBc7MUrJ3WDNN+X/lIOmNOTNfORAyeSdlVbdm2p9Mrr/izgARVhgqhvwRRcPT34aWUJqNcMk6K6PD1E0Lynp48uXkJS7nuplIIK+Vho+JU2tulxWn9evl9Lr6/oKQz5iTsa9usTHp/evpp+dlp5VWpx9vb4zNjKpzxiG4KQiEoQ0EJMibo7+Ptt93Hu2TqM6x21ZPnqUKDr40Qkvf09CBgt0lZXxWPRuWRK5N2TxQO/eCsF9W2C8HNKJ3KfNjXtlmZdKuIWxtWgv899yRmxayvBwYP5qKBTpAxQX8fQ4fGLE9h9Zew2hWVsMKB1U0IyXty3bpiI6xJ0G1S1l3AFi9OTD7AyTh3KTTLXBCXrKDtMux4FjcrU1A3umXLEpWnyZO5cJAqev8wxTylit6uhg+X7tBBx8tcU8JI8nB6JITkPfkaBBzWJOg2Kav9gRSmSZuTce5SaJa5IMpg0HZpunYqCwNBrUxe13JagJua8l8RzgVM7yPs/qK3q66u5MbLsOapfF0sLCSoPBFC8p58XZ0PaxL0mpS9/p7LkzGtYoVFEOUjaLs0XduZMCXowkCY44rfDbBJ7qG3q4kT49vl/Pn+3mdY7SlfFwsLCXZdQkjek6+r82FNgl6Tstffc3kyplWs5xJGu0xlYSCscYULAIWFbkVctcrfPmxhtad8XSwsJNh9CSEkS4Q1CXpNyl5/91OObAmAuWwVI+kljP5hU8Ay2Z65AFBYNDdLa9OqVbHvMjku5etiYSFB5YkQQrJEGJNgGEKgn3JkSwDMZasYSS9h9A+bApbO9qz3yaVLuQBQSJSUyGQfhZQFkwSDyhMhhOQxmVJqsmUBoosKSQWbApZKe/ZasND7ZGOjFLCTFbTp9pd7cFzq2bD7EUJIHpMppSZbFiC6qJB0kEp79lqw0PtkUZE8P1lBm25/4RGWIspxqWdD5YkQQvKYTCk1XGklYZELlpRU2rPXgoXeJ8eMSU3QDrpAkgv1m6tQESVhwO5ECCF5TKaUGudKK4Uzkgq5IMCmYjnwWrAIu08GXSDJhfrNVZiAhoQBpztCCMljsuE+0tOFMyqPqZHvAqyXchR2nwyqjOV7/aYTJqAhYcDhnhBCSCB6unDW05XHVMl3ATbTCxZB75fv9atIxyIF3Y9JGFB5IoSQAiVdFpJCEc6Spacrj6nS0wTYTFsqC6V+07FIwUQPJAyoPBFCSIGSLgtJoQhnydLTlcdUCSLAFoKLZKYtlYWiIHCRguQqeTYEEUII8Uu6hI9CEc6Spacrj5mkEFwkqQQkR64vUoSh2BfC4kBPhK+IEEIKlFwXPvKVnq48ZpJCUDzYD5Mj1xcpwlDsC2FxoCdC5YkQQgqUXBc+CPEiHxUP3ZowbZr8nv0wGLm+SBGGYl8IiwM9ESpPhBBSQNANhBQS+bgAQGtCzyAMxT4fFwcIlSdCCCkoKLiRQiLXrQ8maE3oGYSh2Ofj4gCh8kQIIQUFBTdCskc0Kg8FrQmFSxiKfT4uDhCgKNsFIIQQEh6jRkmBDaDgRkimaW8HFi2KfW5spDWBkEKDlidCCCkg6AZCSObQYwyXLo3/e0kJYw4JKTTYpQkhpICgGwghmUOPMWxslBZfJgBIH0yKQ7INmxshhBQAFCgIyTx6jGFRkVSmaPlNH0yKQ7INp1ZCCCkAKFAQknn0VNNjxrDfpRsmxSHZhsoTIYQUABQoCMk8jDHMPNwbiWQbKk+EEJIFwnazo0BBSOZhjGHmocJKsg2VJ0IIyQJhu9lRoCCE9ASosJJsQ+WJEEKyQNhudhQoCCGEkPTDTXIJISQLcDNbQgghJP+g5YkQQrIA3ewIIYSQ/IPKEyGEZAG62RFCCCH5B932CCEkT4lGgVmzgIkT5b/RaLZLRAghhBQ2tDwRQkieEnbGvrDTpxNCCCGFBqdFQtIAhVCSCcLO2Be2MkYIIYQUGhTnCEkDFEJJJgh7Y9ywlTFCCCGk0KDyREgaoBBKMkHYGfvCVsZIbkMLOSHhwj7VM+ArJSQNUAglmSDsjH1Mn96zoIWckHBhn+oZUHkiJA1QCCX5CNOn9yxoISckXNinegZUnghJAxRCCSG5TiFbyOk+RbJBIfcpEoNDCSGEENIDKWQLOd2n8o9CUHgLuU+RGHnWLAkhhBASBoVsIaf7VP5RCApvIfcpEqMo2wUghBBCCAmTUaOk2xRA96l8gQovyRdoeSKEEEJIQUH3qfyD8UIkX6DyRAghhJCCgu5T+QcVXpIvUHkihBBCCCFZhQovyRcY80QIIYQQkiGiUWDWLGDiRPlvNJrtEhFCgkDLEyGEEELymnxKc10IWeUI6clk3fJ0++23o66uDuXl5fjud7+LpUuXup5/22234YADDkBFRQWGDBmCe++9N0MlJYQQQkguohSShQvlv+3t2S6RHWaVIyS/yary9OCDD+LSSy/FNddcgzfffBOjR4/G0UcfjY8++sh4/h133IGrr74aM2fOxN/+9je0tbXhoosuwpNPPpnhkhNCCCEkV8gnhYRp1AnJbyJCqOEm8xxxxBE49NBDcccdd3R/d8ABB+CEE07AnDlzEs4fMWIERo4ciRtuuKH7u0svvRSvv/46lvkcKTdv3ozKykps2rQJ/fv3T/0hCCGEEJJVZs2KucJFIvL/ueoKl08uhoT0BILqBlnrrjt37sQbb7yBq666Ku77iRMnYvny5cbf7NixA+Xl5XHfVVRU4NVXX0VHRwdKS0uNv9mxY0f3582bN4dQekIIIYTkCvmU5ppZ5QjJb7Lmtvfvf/8bnZ2d2H333eO+33333bFu3Trjb4466ijcddddeOONNyCEwOuvv4558+aho6MD//73v42/mTNnDiorK7uPQYMGhf4shBBSCDALGMlXlELy3HPyX1pyCCHpIusJIyLK8ff/EEIkfKeYMWMGjj76aBx55JEoLS3F8ccfjylTpgAAiouLjb+5+uqrsWnTpu5j7dq1oZafEEKyRdjKTj4F3RNCCCHZIGvK06677ori4uIEK9MXX3yRYI1SVFRUYN68efj666+xZs0afPTRR6itrUW/fv2w6667Gn9TVlaG/v37xx2EEFIIhK3s5FPQPSGEEJINsqY89erVC9/97nexcOHCuO8XLlyIESNGuP62tLQU++yzD4qLi/G73/0Oxx57LIqKsm5EI4SQjBK2ssMsYIQQQog7WfUKvvzyy3HmmWfisMMOw/Dhw/G///u/+Oijj/Df//3fAKTL3SeffNK9l9P777+PV199FUcccQQ2bNiAm266Ce+++y7mz5+fzccghJCsMGqU3GRTZRhLVdnJp6B7QgghJBtkVXn6f//v/+Grr77CrFmz8Nlnn+Hb3/42nn76adTU1AAAPvvss7g9nzo7O3HjjTfin//8J0pLS9HU1ITly5ejtrY2S09ACCHZI2xlh1nACCGEEHeyus9TNuA+T4QQQgghJEy4f1f+kjf7PBFCCCGEEFIIqAQ+Qkh3avz/9u4+pury/+P46xA3oh6Ot3AQ71C3zGGaWt4ub5aMkmWztZZO06ylpmnl3KIWTJaaM21aTs0Fpm2mU9OZ0iTQorS8Ae9KW6mZAt4LqCUcub5/nB9n8kPtk5wbDjwfG/twPlxen+va3p59XnyucyGe5NdX7LIAAAAA1AK7lTYchCcAAIBa4o9MN2zsVtpwsGwPAACglli21bCxW2nDQXgCAACoJZZtNWzsVtpwsGwPAACglli2BTQMPHkCAACoJZZtAQ0D4QkAANTA3635b1i2BTQMvA0CAIAa2AABAGriM08AAKAGNkAAgJoITwAAoAY2QACAmli2BwAAamADBACoifAEAABqYAMEAKiJZXsAAAAAYAHhCQAAAAAsIDwBAAAAgAWEJwAAAACwgPAEAAAAABYQngAAAADAAsITAAAAAFhAeAIAAAAACwhPAAAAQJBwuaTZs6XERPfR5Qr0iBqW0EAPAAAAAIA1c+ZIaWmSMVJ2tvvce+8FdEgNCk+eAAAAgCCRl+cOTpL7mJcX2PE0NIQnAAAAIEgMGiTZbO7vbTb3a/gPy/YAAACAIJGS4j7m5bmDU9Vr+AfhCQAAAAgSoaF8ximQWLYHAAAAABYQngAAABA02KobgcSyPQAAAAQNtupGIPHkCQAAAEGDrboRSIQnAAAABA226kYgsWwPAAAAQYOtuhFIhCcAAAAEDbbqRiCxbA8AAAAALCA8AQAAAIAFhCcAAAAAsIDwBAAAAAAWEJ4AAAAAwALCEwAAAABYQHgCAAAAAAsITwAAAABgAeEJAAAAACwgPAEAAACABYQnAAAAALCA8AQAAAAAFhCeAAAAAMACwhMAAAAAWEB4AgAAAAALCE8AAACo01wuafZsKTHRfXS5Aj0iNFShgR4AAAAAcC9z5khpaZIxUna2+9x77wV0SGigePIEAACAOi0vzx2cJPcxLy+w40HDRXgCAABAnTZokGSzub+32dyvgUBg2R4AAADqtJQU9zEvzx2cql4D/kZ4AgAAQJ0WGspnnFA3sGwPAAAAACwgPAEAAACABYQnAAAAALCA8AQAAAAAFhCeAAAAAMACwhMA1BMulzR7tpSY6D66XIEeEQAA9QtblQNAPTFnjpSWJhkjZWe7z7G1LwAA3sOTJwCoJ/Ly3MFJch/z8gI7HgAA6hvCEwDUE4MGSTab+3ubzf0aAAB4D8v2AKCeSElxH/Py3MGp6jUAAPAOwhMA1BOhoXzGCQAAX2LZHgAAAABYQHgCAAAAAAsITwAAAABgAeEJAAAAACwgPAEAAACABYQnAAAAALCA8AQAAAAAFhCeAAAAAMACwhMAAAAAWEB4AgAAAAALCE8AAAAAYAHhCQAAAAAsIDwBAAAAgAWEJwAAAACwgPAEAAAAABYQngAAAADAgtBAD8DfjDGSpNLS0gCPBAAAAEAgVWWCqozwbxpceCorK5MktWvXLsAjAQAAAFAXlJWVyeFw/Gs7m7Eas+qJyspKFRYWym63y2azebXv0tJStWvXTn/99ZeioqK82jcaFmoJ3kItwVuoJXgT9QRvqW0tGWNUVlamNm3aKCTk3z/R1OCePIWEhKht27Y+vUZUVBRvBPAKagneQi3BW6gleBP1BG+pTS1ZeeJUhQ0jAAAAAMACwhMAAAAAWEB48qKIiAilpqYqIiIi0ENBkKOW4C3UEryFWoI3UU/wFn/XUoPbMAIAAAAA7gdPngAAAADAAsITAAAAAFhAeAIAAAAACwhPAAAAAGAB4ek2c+fO1aOPPiq73a7o6Gg988wzOn78eLU2xhilpaWpTZs2ioyM1JAhQ3T06NFqbW7evKlp06apVatWatKkiZ5++mmdOXPmjte8efOmevbsKZvNpoKCAl9NDX7mz1r67bffNHLkSLVq1UpRUVEaOHCgcnNzfT5H+Ie3amnFihUaMmSIoqKiZLPZdPXq1Wo/P3XqlCZOnKj4+HhFRkaqc+fOSk1NVXl5ua+nCD/yVz1V+frrr9W3b19FRkaqVatWGjVqlK+mBj/zRi1dvnxZ06ZN04MPPqjGjRurffv2ev3111VSUlKtnytXrmjs2LFyOBxyOBwaO3bsXWsOwceftVSlNvffhKfb7Nq1S6+99pr27NmjHTt2yOVyKTExUdevX/e0mT9/vhYuXKiPP/5Ye/fuldPp1PDhw1VWVuZpM2PGDG3atElr165VXl6erl27puTkZN26davGNWfNmqU2bdr4ZX7wH3/W0ogRI+RyuZSTk6P9+/erZ8+eSk5OVnFxsV/nDN/wVi3duHFDSUlJSklJueN1jh07psrKSi1fvlxHjx7VokWLtGzZsru2R3DyVz1J0oYNGzR27FhNmDBBBw8e1A8//KDRo0f7dH7wH2/UUmFhoQoLC7VgwQIdPnxYmZmZysrK0sSJE6tda/To0SooKFBWVpaysrJUUFCgsWPH+nW+8B1/1lKVWt1/G9zV+fPnjSSza9cuY4wxlZWVxul0mnnz5nna/PPPP8bhcJhly5YZY4y5evWqCQsLM2vXrvW0OXv2rAkJCTFZWVnV+t+2bZvp2rWrOXr0qJFk8vPzfT8pBISvaunChQtGkvnuu+88bUpLS40kk52d7Y+pwc/up5Zul5ubaySZK1eu/Ou15s+fb+Lj4702dtQ9vqqniooKExcXZ1auXOnT8aPuqG0tVVm3bp0JDw83FRUVxhhjfvnlFyPJ7Nmzx9Nm9+7dRpI5duyYj2aDQPJVLVWp7f03T57uoepRX4sWLSRJJ0+eVHFxsRITEz1tIiIiNHjwYP3444+SpP3796uioqJamzZt2ighIcHTRpLOnTunV155RatXr1bjxo39MR0EkK9qqWXLlnrooYf0+eef6/r163K5XFq+fLliYmLUu3dvf00PfnQ/tVSba1VdB/WTr+rpwIEDOnv2rEJCQvTII48oNjZWTz75ZI3lf6g/vFVLJSUlioqKUmhoqCRp9+7dcjgc6tu3r6dNv3795HA4av0eh7rJV7Ukeef+m/B0F8YYvfnmmxo0aJASEhIkybMMKiYmplrbmJgYz8+Ki4sVHh6u5s2b37WNMUbjx4/XpEmT1KdPH19PBQHmy1qy2WzasWOH8vPzZbfb1ahRIy1atEhZWVlq1qyZj2cGf7vfWroff/zxh5YsWaJJkybd/4BRp/mynk6cOCFJSktL07vvvqutW7eqefPmGjx4sC5fvuylGaCu8FYtXbp0Senp6Xr11Vc954qLixUdHV2jbXR0NMvT6yFf1pK37r9D/71JwzR16lQdOnRIeXl5NX5ms9mqvTbG1Dj3/93eZsmSJSotLdXbb7/tvQGjzvJlLRljNGXKFEVHR+v7779XZGSkVq5cqeTkZO3du1exsbHemwgCztu1dDeFhYVKSkrSc889p5dffvm++kDd58t6qqyslCS98847evbZZyVJGRkZatu2rdavX1/thgbBzxu1VFpaqhEjRqhbt25KTU29Zx/36gfBzZe15K37b5483cG0adO0ZcsW5ebmqm3btp7zTqdTkmqk3PPnz3vSsNPpVHl5ua5cuXLXNjk5OdqzZ48iIiIUGhqqLl26SJL69OmjF1980Wfzgv/5o5a2bt2qtWvXauDAgerVq5eWLl2qyMhIrVq1ypdTg5/Vppb+i8LCQg0dOlT9+/fXihUrajdo1Fm+rqeqX9x069bNcy4iIkKdOnXS6dOnazN01DHeqKWysjIlJSWpadOm2rRpk8LCwqr1c+7cuRrXvXDhwn29x6Hu8nUteev+m/B0G2OMpk6dqo0bNyonJ0fx8fHVfh4fHy+n06kdO3Z4zpWXl2vXrl0aMGCAJKl3794KCwur1qaoqEhHjhzxtFm8eLEOHjyogoICFRQUaNu2bZKkL7/8Uu+//76vpwk/8Fct3bhxQ5IUElL9v3JISIjnN78Ibt6oJavOnj2rIUOGqFevXsrIyKhRVwh+/qqn3r17KyIiotp2wxUVFTp16pQ6dOhQ+4kg4LxVS6WlpUpMTFR4eLi2bNmiRo0aVeunf//+Kikp0c8//+w599NPP6mkpOQ/v8ehbvJXLXnt/vs/bS9Rz02ePNk4HA6zc+dOU1RU5Pm6ceOGp828efOMw+EwGzduNIcPHzYvvPCCiY2NNaWlpZ42kyZNMm3btjXZ2dnmwIEDZtiwYaZHjx7G5XLd8bonT55kt716xl+1dOHCBdOyZUszatQoU1BQYI4fP25mzpxpwsLCTEFBgd/nDe/zVi0VFRWZ/Px88+mnn3p2aMzPzzeXLl0yxrh3cuzSpYsZNmyYOXPmTLVrof7wVz0ZY8z06dNNXFyc+eabb8yxY8fMxIkTTXR0tLl8+bJf5wzf8EYtlZaWmr59+5ru3bub33//vVo/t98zJSUlmYcfftjs3r3b7N6923Tv3t0kJyf7fc7wDX/W0u3u9/6b8HQbSXf8ysjI8LSprKw0qampxul0moiICPP444+bw4cPV+vn77//NlOnTjUtWrQwkZGRJjk52Zw+ffqu1yU81T/+rKW9e/eaxMRE06JFC2O3202/fv3Mtm3b/DFN+IG3aik1NfWe/WRkZNz1Wqg//FVPxhhTXl5u3nrrLRMdHW3sdrt54oknzJEjR/w0U/iaN2qpaqv7O32dPHnS0+7SpUtmzJgxxm63G7vdbsaMGWPpzy0gOPizlm53v/fftv8bNAAAAADgHljQDgAAAAAWEJ4AAAAAwALCEwAAAABYQHgCAAAAAAsITwAAAABgAeEJAAAAACwgPAEAAACABYQnAAAAALCA8AQAAAAAFhCeAABBbfz48bLZbLLZbAoLC1NMTIyGDx+uzz77TJWVlZb7yczMVLNmzXw3UABA0CM8AQCCXlJSkoqKinTq1Clt375dQ4cO1fTp05WcnCyXyxXo4QEA6gnCEwAg6EVERMjpdCouLk69evVSSkqKNm/erO3btyszM1OStHDhQnXv3l1NmjRRu3btNGXKFF27dk2StHPnTk2YMEElJSWep1hpaWmSpDVr1qhPnz6y2+1yOp0aPXq0zp8/H6CZAgACifAEAKiXhg0bph49emjjxo2SpJCQEC1evFhHjhzRqlWrlJOTo1mzZkmSBgwYoI8++khRUVEqKipSUVGRZs6cKUkqLy9Xenq6Dh48qK+++konT57U+PHjAzUtAEAAhQZ6AAAA+ErXrl116NAhSdKMGTM85+Pj45Wenq7Jkydr6dKlCg8Pl8PhkM1mk9PprNbHSy+95Pm+U6dOWrx4sR577DFdu3ZNTZs29cs8AAB1A0+eAAD1ljFGNptNkpSbm6vhw4crLi5Odrtd48aN06VLl3T9+vV79pGfn6+RI0eqQ4cOstvtGjJkiCTp9OnTvh4+AKCOITwBAOqtX3/9VfHx8frzzz/11FNPKSEhQRs2bND+/fv1ySefSJIqKiru+u+vX7+uxMRENW3aVGvWrNHevXu1adMmSe7lfACAhoVlewCAeiknJ0eHDx/WG2+8oX379snlcunDDz9USIj794br1q2r1j48PFy3bt2qdu7YsWO6ePGi5s2bp3bt2kmS9u3b558JAADqHJ48AQCC3s2bN1VcXKyzZ8/qwIEDmjNnjkaOHKnk5GSNGzdOnTt3lsvl0pIlS3TixAmtXr1ay5Ytq9ZHx44dde3aNX377be6ePGibty4ofbt2ys8PNzz77Zs2aL09PQAzRIAEGiEJwBA0MvKylJsbKw6duyopKQk5ebmavHixdq8ebMeeOAB9ezZUwsXLtQHH3yghIQEffHFF5o7d261PgYMGKBJkybp+eefV+vWrTV//ny1bt1amZmZWr9+vbp166Z58+ZpwYIFAZolACDQbMYYE+hBAAAAAEBdx5MnAAAAALCA8AQAAAAAFhCeAAAAAMACwhMAAAAAWEB4AgAAAAALCE8AAAAAYAHhCQAAAAAsIDwBAAAAgAWEJwAAAACwgPAEAAAAABYQngAAAADAgv8BLeo9XwcYScwAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "df1 = df_razao.toPandas()\n",
    "\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.scatter(df1['data'], df1['razao_preco_medio'], label='Gasolina (SE/NE)', color='blue', s=5)\n",
    "plt.axhline(y=1.0, color='gray', linestyle='--')\n",
    "plt.title('Razão Preço Médio Diário Nordeste/Sudeste')\n",
    "plt.xlabel('Data')\n",
    "plt.ylabel('Razão')\n",
    "plt.legend()\n",
    "\n",
    "# Exibir o gráfico\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3bac1a7e-5f63-4179-9736-7e44ed6e80c5",
   "metadata": {},
   "source": [
    "Antes de 2012 o preço da gasolina no Nordeste era visivelmente mais alto do que no Sudeste.\n",
    "\n",
    "Observamos que entre 2011 e 2012 o preço da gasolina no Sudeste teve uma alta que não foi acompanhada pelo preço no Nordeste.\n",
    "\n",
    "Desde então temos algumas variações sazonais nessa razão de preços que podem ser explicadas por variações na oferta e demanda ou alterações na tributação."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "918fdc5f-0be0-4c19-ae67-379cb8883ce9",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-10-15T18:36:36.428832Z",
     "iopub.status.busy": "2023-10-15T18:36:36.427877Z",
     "iopub.status.idle": "2023-10-15T18:36:36.448685Z",
     "shell.execute_reply": "2023-10-15T18:36:36.442982Z",
     "shell.execute_reply.started": "2023-10-15T18:36:36.428751Z"
    }
   },
   "source": [
    "## Observações\n",
    "\n",
    "Foi possível rodar todo o notebook na infraestrutura do Dataproc e também no Raspberry Pi com bom desempenho como mostram os indicadores de tempo de execução em cada célula."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1497c632-3584-43f9-b7ce-77009eafdb47",
   "metadata": {},
   "source": [
    "## Trabalhos futuros\n",
    "\n",
    "- Incluir na análise dados sobre tributação de combustíveis (tributações federais e estaduais)\n",
    "- Gerar comprações entre os preços dos combustíveis com preços do Petróleo no Mercado Internacional e Dólar.\n",
    "- Comparar com dados de componentes da inflação tais como transporte e alimentação."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}