bot_1_windows.ipynb

{
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      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/jeniferGoncalvesDaSilvaDev/python-finance/blob/main/bot_1_windows.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "d5355376-7a59-4154-a82d-6405d0156e89",
      "metadata": {
        "id": "d5355376-7a59-4154-a82d-6405d0156e89"
      },
      "source": [
        "# Projeto 1: Report de mercado\n",
        "\n",
        "### Desafio:\n",
        "\n",
        "* Criar um robô que automatiza um relatório de fechamento de mercado através da coleta de cotações históricas do Ibovespa, S&P500, Dólar e BTC, enviando o report diário através de uma ferramenta de e-mail.  \n",
        "\n",
        "### Passo a passo:\n",
        "\n",
        "*   **Passo 1** - Instalar e importar os módulos e bibliotecas.\n",
        "   \n",
        "   \n",
        "*   **Passo 2** - Pegar as cotações históricas.\n",
        "   \n",
        "   \n",
        "*   **Passo 3** - Tratar dados coletados.\n",
        "   \n",
        "   \n",
        "*   **Passo 4** - Criar gráficos de performance.\n",
        "   \n",
        "   \n",
        "*   **Passo 5** - Calcular retornos diários.\n",
        "   \n",
        "   \n",
        "*   **Passo 6** - Configurar e enviar o e-mail.\n",
        "\n",
        "# Dúvidas no meu INSTAGRAM @BRENNO.VAROS\n",
        "   \n",
        "-------------------"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "ef8505e8-178d-4615-b4f0-b498d9fb298e",
      "metadata": {
        "id": "ef8505e8-178d-4615-b4f0-b498d9fb298e"
      },
      "source": [
        "# Passo 1 - Instalar e importar os módulos e bibliotecas."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "5bce580f-1e45-4b2b-b338-44199391a734",
      "metadata": {
        "id": "5bce580f-1e45-4b2b-b338-44199391a734"
      },
      "outputs": [],
      "source": [
        "!pip install mplcyberpunk"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "0ebd28b2-c49a-4a00-9e78-392b3f83eb39",
      "metadata": {
        "id": "0ebd28b2-c49a-4a00-9e78-392b3f83eb39"
      },
      "outputs": [],
      "source": [
        "!pip install yfinance"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "92711384-2dfa-43e4-ba09-1c25623e7b56",
      "metadata": {
        "id": "92711384-2dfa-43e4-ba09-1c25623e7b56"
      },
      "outputs": [],
      "source": [
        "import yfinance as yf\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "import mplcyberpunk"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "c41ae13e-6948-4e4e-8543-572828ab6a3c",
      "metadata": {
        "id": "c41ae13e-6948-4e4e-8543-572828ab6a3c"
      },
      "source": [
        "# Passo 2 - Pegar as cotações históricas"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "969005bd-2d4b-4c66-8b0e-26f6cf409ee4",
      "metadata": {
        "id": "969005bd-2d4b-4c66-8b0e-26f6cf409ee4"
      },
      "outputs": [],
      "source": [
        "tickers = [\"^BVSP\", \"^GSPC\", \"BRL=X\", \"BTC-USD\"]"
      ]
    },
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      "id": "ec3416d6-5ed8-496c-a568-c2858069aef7",
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          "text": [
            "[*********************100%%**********************]  4 of 4 completed\n"
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              "  <thead>\n",
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              "      <th>Ticker</th>\n",
              "      <th>BRL=X</th>\n",
              "      <th>BTC-USD</th>\n",
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              "Ticker         BRL=X        BTC-USD         ^BVSP        ^GSPC\n",
              "Date                                                          \n",
              "2024-07-28       NaN   68255.867188           NaN          NaN\n",
              "2024-07-29  5.622841   66819.914062  126954.00000  5463.540039\n",
              "2024-07-30  5.614500   66201.015625  126139.00000  5436.439941\n",
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              "2024-08-01  5.656600   65357.500000  127395.00000  5446.680176\n",
              "...              ...            ...           ...          ...\n",
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              "2025-01-25       NaN  104714.648438           NaN          NaN\n",
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              "\n",
              "[185 rows x 4 columns]"
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          "execution_count": 5,
          "metadata": {},
          "output_type": "execute_result"
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      ],
      "source": [
        "dados_mercado = yf.download(tickers, period = \"6mo\")\n",
        "dados_mercado = dados_mercado[\"Adj Close\"]\n",
        "dados_mercado"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "e76d0dd9-84dc-4f76-8273-5c5cd9c63166",
      "metadata": {
        "id": "e76d0dd9-84dc-4f76-8273-5c5cd9c63166"
      },
      "source": [
        "# Passo 3 - Tratar dados coletados."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "a61ba6f9-f42f-44b5-80e3-9d414fe5fa8d",
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        "outputId": "48f15345-ff98-4a0e-df9b-21c695aab730"
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      "outputs": [
        {
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            ],
            "text/plain": [
              "Ticker         BRL=X        BTC-USD         ^BVSP        ^GSPC\n",
              "Date                                                          \n",
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              "2024-07-30  5.614500   66201.015625  126139.00000  5436.439941\n",
              "2024-07-31  5.611100   64619.250000  127652.00000  5522.299805\n",
              "2024-08-01  5.656600   65357.500000  127395.00000  5446.680176\n",
              "2024-08-02  5.750600   61415.066406  125854.00000  5346.560059\n",
              "...              ...            ...           ...          ...\n",
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              "2025-01-23  5.940300  103960.171875  122483.00000  6118.709961\n",
              "2025-01-24  5.924000  104819.484375  122447.00000  6101.240234\n",
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              "\n",
              "[121 rows x 4 columns]"
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          "execution_count": 7,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "dados_mercado = dados_mercado.dropna()\n",
        "\n",
        "dados_mercado"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "d10d22d9-105d-4c87-9d5d-d53b229c0de3",
      "metadata": {
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        "outputId": "ea61de05-df10-4211-d414-f76fd2e8aba6"
      },
      "outputs": [
        {
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              "  </tbody>\n",
              "</table>\n",
              "<p>121 rows × 4 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "               DOLAR            BTC      IBOVESPA       S&P500\n",
              "Date                                                          \n",
              "2024-07-29  5.622841   66819.914062  126954.00000  5463.540039\n",
              "2024-07-30  5.614500   66201.015625  126139.00000  5436.439941\n",
              "2024-07-31  5.611100   64619.250000  127652.00000  5522.299805\n",
              "2024-08-01  5.656600   65357.500000  127395.00000  5446.680176\n",
              "2024-08-02  5.750600   61415.066406  125854.00000  5346.560059\n",
              "...              ...            ...           ...          ...\n",
              "2025-01-21  6.029800  106146.265625  123338.00000  6049.240234\n",
              "2025-01-22  6.020500  103653.070312  122972.00000  6086.370117\n",
              "2025-01-23  5.940300  103960.171875  122483.00000  6118.709961\n",
              "2025-01-24  5.924000  104819.484375  122447.00000  6101.240234\n",
              "2025-01-28  5.869800  102195.742188  124242.21875  6064.890137\n",
              "\n",
              "[121 rows x 4 columns]"
            ]
          },
          "execution_count": 10,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "dados_mercado.columns = [\"DOLAR\", \"BTC\", \"IBOVESPA\", \"S&P500\"]\n",
        "\n",
        "dados_mercado"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "0e4b7ce7-589c-49c5-997d-9b1567cb3db5",
      "metadata": {
        "id": "0e4b7ce7-589c-49c5-997d-9b1567cb3db5"
      },
      "source": [
        "# Passo 4 - Criar gráficos de performance."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "60aff313-089a-425f-b328-e71bd745313f",
      "metadata": {
        "id": "60aff313-089a-425f-b328-e71bd745313f"
      },
      "outputs": [],
      "source": [
        "plt.style.use(\"cyberpunk\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "a17d5a37-b138-433d-b28a-06046e0c2386",
      "metadata": {
        "id": "a17d5a37-b138-433d-b28a-06046e0c2386",
        "outputId": "06997880-edb6-49bc-fea4-e9b290c6b958"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "plt.plot(dados_mercado[\"IBOVESPA\"])\n",
        "plt.title(\"IBOVESPA\")\n",
        "\n",
        "plt.savefig(\"ibovespa.png\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "53b97690-e9e4-46aa-a6e5-9e25e76ee956",
      "metadata": {
        "id": "53b97690-e9e4-46aa-a6e5-9e25e76ee956",
        "outputId": "d09e5c47-e4ef-4ef1-a6a3-26d9c1185e18"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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1g4FI4axCSrpRSBERkZQRXX4cOVwQMHyRmhT9yko3+hMXEZGUseVGbkCNfVJUk5Ju4gopOTlZ3HD12Xzy7qN8+t5U7vj3RXTqmNfoawb078WXHz/JTjsOa1FDRUSk/TO3WH4MNQpnVZOSduIKKbdPuZDMDCfHnXIVR594OWbA5OrLT2/weqfTwc3Xn4erxpIyERGRhkSnezz1jKQopKSdmMfOhg7px4jhgzj0mIuoDCfcO+9/ns6NjKRccfFpfDdjNoMG9ml5S0VEpN2LhBRLZY2aFL9GUtJVzCFl+LCBrFy9jsMPGceRh+2Dy+Xkp18W8MgTr9d7/YH7706vnl25495nOf3UiTHexWj6klaTzHu3VeqzpqmP4qc+i0377KfaNSnhzxhe3RM6u6e5n7t99lfrirXPgq3WgphDSm5ONoMH9mbxkm6cfu5NOF0ObrzmHCZfczZXXf9grWv79unBOWcczfkX34ZpxtZ4V0YHDEty6ngzsjom5b5tmfqsaeqj+KnPYtOe+8md2wEAuy9Y/TntmQAYdkezPnt77q/WEk+fuSsKWq0dMYcUn88HwENTX8Xr81Hp9vDkc2/z9KOTyXA5cYd3BnTY7fx78vk8/NhrbNhYGHNDPO4ikpF0M7I64q6IvZ2iPouF+ih+6rPYtPd+8oV/KwXKSqKf01teDIBpIe7P3t77qzWkUp/FHFJWrV6HYViw2a14w4HFGh75MIzqcDF82AD69u7ONVecwTVXnBF9/O7bLuGzL2Zw38MvN3KX1hsyql/NULS1791Wqc+apj6Kn/osNu2/n2ruOBv9jP7Q75xQ4Ww8n7v991fipVafxRxSfp61kHXrN3LdlWdy213P4HQ6OOeMo5k+YzaVNdazz1vwB/sefE6t18748gWuuv5B5sxbnLiWi4hIu1PfPimGdpxNWzEXgQQCAS687E4CAZPXX7qL1168k02bC7n9nucAmPbRE0wYP6bVGioiIu1f9T4p1at7tAQ5fcW1fd/mgmJuuvXxep/b/9DzGnzd2PH/iqtRIiKSnqr3Salxdo8/tC2+liCnH22LLyIiKSMy3VPfPilouiftKKSIiEjKqD5gUGf3iEKKiIikkGA9NSnVZ/foV1a60Z+4iIikjHpHUvwqnE1XCikiIpIy6l+CXB1Sgoa2t08nCikiIpISgoZB0FVzM7ewyEgKaDQlzSikiIhISgg6HRDZyby+wlnQCp80o5AiIiIpIVKPArX3STFqjKRor5T0opAiIiIpoWY9ihGscW6MRlLSlkKKiIikhPqWHwNgmtXXaCQlrSikiIhISqhvZQ+Ez+X1hbbGV+FselFIERGRlBB01bNHSkTk/B5N96QVhRQREUkJwcyGQ0p0rxSFlLSikCIiIimhwZoUgEC4LkXTPWlFIUVERFKC2UBNCtQ8v0chJZ0opIiISEqo99yeCL8KZ9ORQoqIiKSESEixNDaSYrNt1TZJcimkiIhISoguQa6vJsXfssLZQLfOOpywDVJIERGRlFA93dNY4Wz8v7Y8e4xm46evUHbBv1rQOkkGhRQREUkJjdWkGNF9UuKf7nEfOA4A/9CBzW+cJIVCioiItAp/7x54d9w25uurlyDXUzgb2SclzsLZoGHg/cdOAJi52XG9VpJPIUVERFpF0YNTKHjmHgJdO8d0fUPb4kPzlyB7B/XF7NQBADNbIaWtUUgREZFW4e/RDaxWAj27xXS92ehmbs0bSXHvun3066BGUtochRQREUm4oNUC4dBh5ubE9ppISPHUt09KZAlyfCGlskZIMXOzCcb1akk2hRQREUm4YGZm9GszP76QYqmnJsVoxhJk0+XEs/3Q6gfsdoIuZ8yvl+RTSBERkYQLZmVEv455JKWRmpTmTPd4R20PDjvW9RvAF14dlKMpn7ZEIUVERBLOzKoxkpIXY0hxNVyTEl2CHE9IGTMKAMfM2VjKy0NtUV1Km6KQIiIiCResEVKCMYykBIFgZiNn90Q2c4tjn5SqMTsD4Jw5G6OsItwWhZS2RCFFREQSLjJ1AzGOpDjs0amcxqZ7gjHuOBvo1hn/wL4QMHH+MhdLaXgkRdM9bYpCioiIJFyt6Z5YRlJqhJr6d5yNr3C2arfQVI9z8QospeUYZQopbZFCioiIJFytwtkYRlLMjPD1nioM06x7QbgmJdbC2chUT8bP8wGwlJaF2qXpnjZFIUVERBIu7pqURs7tgRo7zsZQkxK0WKjaNbQVfuYvCwCwhGtSYl1pJKlBIUVERBLOzIxvdU+kaNbSQEipPgW56ZEU37DBBPNzMcoqcP6+HAAjWpOS1eTrJXUopIiISMLVnO4JZmc1uVNssLEt8Ynv7J6qyNLjX+ZGX2cpC0/3qCalTVFIERGRhKs53QNNF6wGMxrZyA2qa1JsTf/a8tZYehyh6Z62SSFFREQSztwipASbmPKprkmpfySFGGtSzKxMvNsPB8D5Y3VIiU73qHC2TVFIERGRhKszktLECEb1Rm5V9T4fXYLcxHSPd+cdwG7D+udf2P76O/p4ZJ+UYLZqUtoShRQREUm4mvueQNPFs03VpMR6dk/V7uGpnhqjKED1PikaSWlTFFJERCThzOzwSEp4z5OmRlLMJmpSIiMpTRXgRjdxmzmr1uOWcEiJZTm0pA6FFBERSbjISIplU0Ho+xhHUixN1KQ0NpLi79WdQN9e4PPj+HV+reeim7lluGLaa0VSQ1x/Ujk5WVw86SR2321HDMNg7vwl3PvgixQUltS59ohD9+H4YybQuVM+mwtL+O/bX/DuB18lrOEiIpK6guF9UqzrNmJ264KZl9vE9Y3XpBDDEuTIKIpjwSIsFZWAEX3OKK+Mfm3mZGEtqvt7S1JPXCMpt0+5kMwMJ8edchVHn3g5ZsDk6stPr3PdnmNHce5Zx3DrXc+w/2Hnc+tdT3POGUczbs9dEtZwERFJXcHwdI91/Qag5TUpsZzdE9kK3zFzdp3nDNOscRKypnzaiphHUoYO6ceI4YM49JiLqKwMzRneef/zdO6YV+fazp3yeeX1j1m4KLTT38LflzNn7iJ23GEbvpn+a4KaLiIiqShosURDRzSkNLW6p8l9Uhpfghy0WvCOHgnUrUeJsJSVE8jJUvFsGxJzSBk+bCArV6/j8EPGceRh++ByOfnplwU88sTrda7dclonPz+HHXcYyiOPv9bEXYwmnm9Nybx3W6U+a5r6KH7qs9ikbj8Fa2yJb1u3EYiMpDTc5tpn99S9zqhVk1L3ed+IYQRzsjCKS7EvXl7PNUZor5Se3cIby6Vu/6WOWPso2GotiDmk5OZkM3hgbxYv6cbp596E0+XgxmvOYfI1Z3PV9Q82+LqOHfK45/ZLWfLHKqZ9+WOD17kyOmBYklPHm5HVMSn3bcvUZ01TH8VPfRabVO8nf5dw+3x+XOU+SgAjP7/Rdhs5oZEWp2mr9zqvNTwy48yo93n3XmMByJz1O5kZ+bWei1xvq6zCD9g7d0/5Pky2ePrHXVHQau2IOaT4fD4AHpr6Kl6fj0q3hyefe5unH51MhsuJ21O32GnE8EHccuMk5i34g9vveZZAfcdvh3ncRSQj2WZkdcRdUbjV79uWqc+apj6Kn/osNm2hn3xGaDrFKK/Av2EdAP7szEbbHXCEak18RZvrvc7vDq3O8Qf9dZ4P2myU7TMaANv3M2s9X7O/gsVFAHicYE3xPkymVPoZizmkrFq9DsOwYLNb8YYDizU88mEYdcPFIQfuyaUXnsIzL77L629+FuNdWm/IqH412721791Wqc+apj6Kn/osNm2jnyKHC1oq3VhKSwEw87JprM3V+6S467/OH/q9g81W5/nyfx1LYEBfLEXFuL6eUeP52v0V3XU2J6vRtqS31PoZi3l+5edZC1m3fiPXXXkmGS4n+Xk5nHPG0UyfMZvKLQqdxu25C1dcfBrXTXkkjoAiIiLtQWSPFKOiEqMkvD9Jbg7BRqb0I0uQG94nJTQSv+Vmbr4BfSg/6wQAcu9+IhpE6mOJ7jqr1T1tRcwhJRAIcOFldxIImLz+0l289uKdbNpcyO33PAfAtI+eYML4MQCcftpErFYrt025kGkfPRH978pL/tk6n0JERFJG5HBBo8IdDQYAwUZW1VQvQW58x1ms1b+2goZByeRLwOHAOf0nXJ9/02i7oocMNnAic8Xxh7Hhs1eo+sdOjb6PbD1xbea2uaCYm259vN7n9j/0vOjX/zx7cstaJSIibVbkcEFLZSWGP4BRXkEwOwszNwdLcWn9r2lqCXI9O85WHncovpEjMMoryLv9kSarGqu3xq8bUiqOP5zSqycB4N5/T5w/zWni3WRr0Lb4IiKSUMHoSEpol1dLeMqnoQ3dgjYb2EP/Zm54Mzd/9bWAv0dXyv7vDAByHnke64bNTbYrsjW+mVP7JOSKYw6JBhSAQN/eTb6XbB0KKSIiklBmVqQmJRQ4jEg4aKAWJFKPAmB4mh5JCQKl1/0fwcwM7HN+I/Otj2NqV2THWTOnuh2VRx5I6XX/B4Bz+k8A+Pv1iun9pPUppIiISEJFDxeMdSQlXI+C11tde7KlGmf3uA/el6qxo6HKS/6/H8QIxrYKZcvpnsrD9w/VtABZr7xD/vV3h9rZpRNm+DNIcimkiIhIQkWneyrDIaW0eoVPfSKBoMHDBakunDU75FF6RagGMufp/2BbvTbmdtWc7qk8ZDwlN14KQOZr75Nz/1NYyiuwFIT2Ugn01WhKKlBIERGRhArWWN0DMYykuBo/XBCInt1jdu9CMD8X25LlZL30VlztqnnAYMmUy8BiIfO/H5J7z+PRottI6PH3U11KKlBIERGRhIosQY5M9zRdkxIeSWmoHoUaZ/cABALk//uBhqeGGlBrDxWrlYx3PiH3rsdqrQqyrv4LUF1KqlBIERGRFvMOH0LlUQcRpHrH2chIinVzaIt13/DB9b42UpNiaWCPFKC6cJZQ/Yh90bK422j4fNHAlPH+5+Td9kidehbbn+GRFE33pIS49kkRERGpT8mNl+AfOgjr6r/qLEF2fTmD0svOwTdyBL5hg7Evrh0wIqt7GtwjBbCu2wBeL7a168l58pVmtzP/pvsI9OpO5usf1FtwawuPpAQ03ZMSNJIiIiItFujZDQDvyBGYmbULZ62bC3FNmw5AxYkT67w2uttsQ1viA9bCYroe+i86nXIRRj0H2sbK9e2PZL36HkYDB95aV1ePpCT/5BpRSBERkRYJOuwEw1vN+3YYXn3AYEV16Mh67T0A3AfsTaBjfu3XN7XbbJh1cyGWFgSUWNjW/g2BAMGcLMxOHVr1XtI0hRQREWmRQI1f5t7thxHMDu3oGpnuAXAs/AP7/EXgcFB5zCG1Xt/UuT1bk+HzhaaWUPFsKlBIERGRFjFrjIwE83OrQ0eNkAKQ9ep7AFQecwhBu7369THUpGxNtj/DdSnaHj/pFFJERKRFzE4d633cskVIcX31PZYNmzA7d8Q9Ya/o49XTPY3sk7IVaRly6lBIERGRFjE75dd90OcHr6/WQ4Y/QNabHwFQeeLEaGFq9RLk1AgpttVahpwqFFJERKRFAh1DNSlGUUn0MaPSXWuTtIjMdz4FTxW+bbfBt8NwILYlyFtTZBmyv7+me5JNIUVERFrE7BwKKa7wKcJQd6on+nhxKRmffg1AxUlHAKlVOAtgW7UGCJ3f4xsyIMmtSW8KKSIi0iJmeCTFvmgZlvUbgbpFszVlvf4+AJ599yDQrXPMS5C3FuvGzTi/mgFWK8VTLidos8b1eu2vkjgKKSIi0iKB8EiKpbAIx4LFQOMhxb50JY5f5oHNSsWxh8W0mdvWlnfHoxjFpfiHD6b8X8fH/DrfgD5s+PpNim+6VGElARRSRESkRSJLkC0FRdgXLAp9HT5xuCGRzd0qjzoIs0MekDojKQDWgiLy7n4MgPKzT8Q3qF9Mr6s4+SiCeTm4Jx5AxclHtWYT04JCioiItEhkusdaUEzmB9PI+OALsl58s9HXOL/7Ceva9QTzcwn06g6kTk1KhOuzb3B+9yPY7VQeeVCT15vZmXgO2if6fdnFZ1I1arvWbGK7p5AiIiLNFnQ6COaEdpi1FBRiKSsnf8r9OGcvaPR1hmmS+caHtR9LoZEUAAPIfO9zAKr23LXJ6Rv3IfsRzHBhW7YK1ydfgc1K8Z3XYYaPDJD4KaSIiKShQOeOlJ13KoGunVv2PuFRFKq8GOUN16HUJ/P9zzFq7I1iSaGalAjHT3PA6yXQp2ejJyMHIbrdf+ZbH5N360NY16zD7NyRqrG7bKXWtj8KKSIiaaj0krMoP+dkCqfehpmV2ez3iSw/thYW1bsvSmMs5RVkfDgt+n2qjaQAWNweHLNCo0KePXZt8DrvqO3wD+qH4faQ8cmXWDxVuL7+AYCqXXbcKm1tjxRSRETSjJmdiWef3QHwD+pH8e3XELQ079dBtGh2c1GzXp/1+gdgmhhuD0ZF6o2kALi+/xmAqj1HN3hN5TGHhq799Css4RElx6/zAfDuskMrt7D9UkgREUkznv32ggwXlr83gdtD1Z67UnbRGc16L7NTZPlxcbNeb1u9lo7/N5kOl96M4fc36z1amzMcUrw7bV/vqFOgYz6e8WMByHrz4+jjjjm/QSBAoG+vFk+rpSuFFBGRNFN52P4AZL3xPvk33QdAxclHEggvBY5HIBJSCgqb3R7nzFk4f57T7Ne3Ntua9VhXrQW7jardRtV53j3xALDbsS9YhH3J8ujjlopK7IuWAVCl0ZRmUUgREUkj/j498O00AgIBMj7+ioz/Tce2aClYrVTt9Y+43y8ykmItKE5wS1NL9ZRP7bqUoMVC5VGh5cmZb31S53WOX+cB4FVdSrMopIiIpBH3oaFRFOePs7FuDo1+uL6eCYBn7zFxv1+0JqWweTUpbYUzfC5R1djRBI3qEuGqMTsT6NUdo6SMjC++rfM61aW0jEKKiEiaCBoGlYfuB1BrVY3r21BIqdptFKbLGdd7Bjp1BJpfONtWOOYsxCivwOzUAd/wIdHHK48NLzv+cBpGlbfu6+YuBH+AQO8e+Ht03WrtbS8UUkRE2qigzUbZuafg3XabmK73jt4Rs0dXjLJyXN/MjD5uW7oS69r14HLiHbNzXG0wO+UDoSXI7Znh9+P8cTZQPeXj79GVqvCy5My36071AFgq3dgX/QGAd2eNpsRLIUVEpI3yjBtD+bmnUDj1tphWj7jDBbMZn32D4fVFHzcgGlrinfKJru5p5zUpUL3KJxJMKo86CCwWHD/PwbZ6bYOvq57yUV1KvBRSRETaqEDvHgAE83IovuWKWrUSWzKzMnHvG1omW3OqJ8IZCSl7/YOgNbZfDUGXk2B4Sa6loH2PpAA4Z/wKgG/ENgS6dcZ9xIEAZNZYdlyfyGZw3pHbRh/z9+lJwdN3U3rh6Zi52ja/IQopIiJtVKB7l+jX3tEjqTj16Aav9ey3B2S4sK5cg/23JXWed8xbiFFUQjA/F++OI2K7f7hoFk8VRkV8W+K3RdaCIuwLQ1M3JTdcjNmpA5ZNBdGanoY4FiwGCO2XEl7mXXHiRLw770DFGcez8cMXKTv7pBbt/NteKaSIiLRRgXAhpn3OQgDK/u90iu64Bu+IujUqkamezA+n1bt9vREwcc6cBYB3p9hO7jU7h4pmrQXxb4nfVkWnfMaGdp/NfPczDH+g0ddYysqxLVsFgG/H0GiKd/TI0HObCgnmZFF+/mls/PAFyv95TNzFy+2ZQoqISBsV6BYaScl+9jUy3vkUrFY8B4yj4OWHKT/lqOh1/j498I7aPrw3ypcNvp9t7XoAzK6dYrp/ZGt964ZNzf0IbY7zu5+qvwkEyHz305heZ5//OwDeHbcl0KkD/kH9wDTpcvx55F99G9aVawjm51J28Vls+uB5Kk6YSNBub42P0KYopIiItFGR6R7r+o3k3/oQnU+YhOvzbwCoOPWY6Hk87kNCy46dP83BuqmgwfezhJ+LpQjXO3wIFeEglPXS283+DG2NffEyLOH9ZZzTf8a6YXNMr3PMrQ4p3tGhAlrbkhVYikvJmDadLsedS97ke7CuXY/ZuSOlV53PxveepfLIAwnarK3zYdoAhRQRkTbIzMokmJsDVI9k2P9YQf7kezFKyjC7dMQ7ajuChoE7sjfKB3ULZmuyRkNK4yMpQZuNkimXgdWK67NvcH33Y0s/TpthBIOh5caeKrJf+G/Mr3PMC4UU37ZDolNFzl/mVr9vwCTz4y/pctRZ5N36EJa/N2H26ErJ5EvY9PbTeLcbmtDP0VYopIiItEGRqR6jtAxLZfXpwYbfj+urGQB4JuyNd+ftCfTsFtobpYkCT+vGUEgxuzQeUspPPw7/kAFYiorJvfvxlnyMNinnyVfoPvYIHPMXxfwa65p1oUMYHQ7cE/YCwPHLvDrXGf4Ame98StcjziD3nsexFBQR6NOTwsfvoCoN91lRSBERaYOiUz1/160HiWzP7hk/lsojDwo/9l29O6LWZNkYmrowO+Y3OMXgG9iP8rNOBCD37iewFpc07wO0cUYwGN/1gD08moLdDv5A6JTkhq73+sh67X26TDwDx4+zCWZlUvjILVTFudleW6eQIiLSBpnRkLKxznOOX+dhKSzG7JCP56B9gPr3RtmSpagEfD6wWKIrd2oKWiyU3HQJ2O04v/0xWv8isYlM+QDYFy6pNQLWEEulm46X3ITzux/B5aT4pktbs4kpRyFFRCTFBA2DkqvOp+Logxu8JtA9tPy4vpEUI2Di+t/06PfWVWuxxzA1YQSD0UMH6yuerTjxCHzbD8coqyDv9kfSZtlxotQMKc56pnoaYnh95F97JwBm186Y2VkJb1uqssVzcU5OFhdPOondd9sRwzCYO38J9z74IgWFdYf7xuy6A+effSw9e3Rlw8YCpj71Bj/8GPsfiohIuvINH0LlCROBUAhxzfilzjU1V/bUx/XFd1QedxjQ8N4o9bFsLCDQoxuBLUZS/H16UDbpNAByH3y60VVCUj/7oqXg9YLDgaNG0WwsLG4PlqLQ6FigR1csS1e2TiNTTFwjKbdPuZDMDCfHnXIVR594OWbA5OrLT69zXe9e3bhtyoU8/cK7HHD4+Tz74rvcMnkSnTvnJ6rdIiLtVs19SkqmXFa9s2sN0ZGUBvYoccxdiG3FaoyyCjI++l/M944Wz9YYSQkaBiU3XAIZLhw/zyHj3c9ifj+pZnh95N31GFkvvx3dKj8ekUAa6NEt0U1LWTGPpAwd0o8Rwwdx6DEXUVnpAeDO+5+nc8e8OtceNGEs8xb8wfQZoRMjv/r2Fw4+cE8mHjKOZ198LzEtFxFppwLhQ/sgdIBfyc2X0+GiGzFq1Go2VjgLYJgmnf51GUGnA2sc5+pYNoWKZ2suQ3YfeSDe0TtiuD3k3fKQpnlaILMFAc+6fiO+bbeJ7jScDmIOKcOHDWTl6nUcfsg4jjxsH1wuJz/9soBHnni9zrUD+vdi+craJ0KuWr2OwYP6NnGXZP7o63928VOfNU19FD/1WaRo1fHrfLzbDaVq7GgqT5hI1mvvA6GRjUC30EhHKKTU32eW8koor2zw+fpERlJCNSkGga6dKb3kbABypr6I7a8Ncb1f6miLba6t9kjK1vg8sd4jvpVO8Yg5pOTmZDN4YG8WL+nG6efehNPl4MZrzmHyNWdz1fUP1ro2M8OFx1NV67Eqj5eMRs4jcGV0wLAkp443I6tuFbs0Tn3WNPVR/NRnIeXdQ6cbZ81bSs53sym47F+UXnwmOQtXwfI1OPoMCC1jDZhkVQYxEthv/tIqygC6dycjqyMb/+9MgtmZOH9bSqcPpyf0XltLe/m58haUUwHQp3erf6Z43t9d0Xr1STGHFJ/PB8BDU1/F6/NR6fbw5HNv8/Sjk8lwOXHXCCUeTxVOp6PW650uB5VuT4Pv73EXkYykm5HVEXdF4Va/b1umPmua+ih+6rNq3rzQabiBv//C+fanOHcZTtVe/2DD5PPpfc5NVOSGznSxbNyMpzS2bdljFVizGgBfp1zcFYW4Rw0HIGvq83jK2l6xbHv6uTJXrwLA27VDq36mVOqzmEPKqtXrMAwLNrsVbziwWMMjH4ZRO1ysWPUX2wzpV+ux/v16smTJqibu0npDRvWr2e6tfe+2Sn3WNPVR/NRnNUVPF95UiEGQvCn3s/mNx/EP6kfhBSdj+TF0Em9oqiex/WWNbOjWtTOBLh1DUwuBQPiAvLb2Z9O+fq6s6zcAkdOvW+vzpFafxTy/8vOshaxbv5HrrjyTDJeT/LwczjnjaKbPmF1nhOSzaT8wasdh7Lv3aKwWC/vuPZpROw7js//NSPgHEBFpbyKFs5aC0L9mrcUl5N94DwClR+1P5TGHhB5vhdOHI0uLgxkuqnbfBQDb0pVYGhkJl60jElLMjvkEGymfaE9iDimBQIALL7uTQMDk9Zfu4rUX72TT5kJuv+c5AKZ99AQTxo8B4M8167nmxoc57aTD+Oz9qZx+6kSun/Ioa9ZuaJ1PISLSTgQBs3MopEQ2VoPQCcaR04a9u44MPV/PbrMtZXiqMErLAPDstwdAXGfUSOsxSssxKiqB6tVd7V1cm7ltLijmplvrP0xq/0PPq/X9z7/+xs+/NnwugYiI1BXMywkVxQKWLTbKzJn6Ir7dRuHdZgDQ8PLjlrJuLMCfm0PVrjsBxLRbrbQ+g9AKH//g/gR6dMO2am2Tr2nrtC2+iEgKCXQK1aMYxaUY4fq/CMPno+vNUyE89WJdu75V2mCJ7CZrD/07ViMpqaN6GXJ67JUS10iKiIi0rmjR7Ob6V1c4/lxPx4tuxLvrSJw/zW6VNkSKZwEsBUWtFoYkfpG6FL9CioiIbG2BzpGi2YZ3iXXOWoBz1vxWa0NkQzcITfW0/W3Q2o/qFT7psTW+pntERFKI2anpkNLaLDVGUjTVk1rSbbpHIUVEJIU0Nd2zNVg3Vd/bMf/3pLVD6oqGlO4KKSIispVF90hJZkiJjKT4/Nh/X5q0dkhdkZBidu1E0GZNcmtan2pSRERSiNkl+SMptj9W4PriW2xLV2FUeZPWDqnLUlAEXi84HAS6dMa2vn3vP6aQIiKSQlKhJsUwTTpcc0fS7i8NM4JBrH9vItC3F4EeXdt9SNF0j4hIConsk2LZnLyQIqktMuXjH9g3yS1pfQopIiIpIuiwh3acJbnTPZLanL/MBaD89OMx2/kZPgopIiIpIlI0i9eLUVae3MZIysp69T2s6zZg9uhK+ZknJLs5rUohRUQkRUSXHxcUaQM1aZDhqSL33icAqDj1aPx9eia5Ra1HIUVEJEWYKbD8WNoG5zczcc74BRwOSq65gKDRPmOtQoqISIqo3iNFRbPSOAPIvecJ8FThHbMzlSccnuwmtQqFFBGRFJEKe6RI22H78y9yH3gagNKLz8Q3ZECSW5R4CikiIinCjCw/TuIeKdK2ZL75Ec5vfwSHg+LbryHYzlb7KKSIiKSIQGeFFImPAeTd/ACWTYX4B/Wj9JKzkt2khFJIERFJEZHC2ZoH/Ik0xVpcQv6N9wBQedxhePbeLcktShyFFBGRFBEtnC1QSJH4OH+aQ9ZLbwFQfOOl0VG5tk4hRUQkBQQBs3N4JEWFs9IMOY++gG3RUoId8ii+5cp2sSxZIUVEJAUE83LAbgfAUliS5NZIW2T4/XS47i4MtwfvP3ai4tSjk92kFlNIERFJAZHheaO4FMPnS3JrpK2yrV4b2j8FKLvgX3iHD0lyi1pGIUVEJAVElh9rqkdaKuO9z3D9bzrYbRTffjVmhivZTWo2hRQRkRQQ6BwpmtXyY2kZA8i79SEsf28i0K83pVeen+wmNZtCiohICjC1R4okkKW0nPwb7gbTxH3EAbj32zPZTWoWhRQRkRQQ3SNF0z2SIM7ZC8h+7g0ASm64iED3LkluUfwUUkREUkB0t1mFFEmg7Kdewb5gEcHcHMrOOinZzYmbQoqISArQHinSGgx/gPxr7sQ5/SecP/ya7ObEzZbsBoiISPV0j2pSJNFs6zfQ8eKbkt2MZtFIiohICqie7lFIEYlQSBERSbKgw04wNwfQdI9ITQopIiJJFghv5EaVF6OsPLmNEUkhCikiIkkWLZotKKLtHwknkjgKKSIiSVZdNKupHpGaFFJERJJMRbMi9VNIERFJMu2RIlI/hRQRkSQL6NwekXoppIiIJJnZSSFFpD4KKSIiSRY9XHCTpntEalJIERFJMNPlJGjEvpi4erpHIUWkJoUUEZEEqtp1JBu+f5fNrz+GZ5/dCTZxfdAwMDvlAyqcFdlS3AcMjh+3Kzdedy5ery/62Hffz+aWO5+qc+2xR+3PcUdNIC83m/UbNvP8S+/zzfS2dwqjiLRvQQDDwAg2FSma5p6wN1gs+IcMoOi+G7EtWkbOk6/g/O7HejdqC3TvCnY7AJbCkhbfX6Q9iTukDBs6gM+n/cDt9zzb6HW77bo9p510KBdccgd/rv2bcXvuwr8nT+K4U6/i7w2bm91gEZFEMjNcbH79Mcy8HJwzZ+H8/hecM37FWty8wODbYTgAzm9m4h29I/7hgyl6cAr2hX+Q/cTLOGf8Eg0rQZuVkluuAMD+2xIMn6+BdxVJT3GHlOFDB/DVt780eV2/vj0xMDAsof85BkwTv99PIBBo5FXJ3BBam1HHT33WNPVR/LZun/m2G0agT08APAeMw3PAODBN7Av/CAWW73/BvnhZTKMsZnYW/sH9Aci79WEM06T8lKOoPOFwfCO2oeiRW7AvWEzWf97FMWchFacehXfU9hjlleRPvof4Prt+tuKj/opfrH3W8hHIBlswYPiEmN/dMAy++OAx5i34gwH9e2GxWJj503wef/q/lJVX1rq2U8c8HrjrCgYN7IM/EIBgkH/f8RRffvNzve/tyuiAYVGJjIhsXSVHH0DBJafhXPAHGXN+p3K3kXi36V/rGmtBMRk/zSNz5lwyf5iDxVv/iEflrtvz933XYPtrA31PuCz6eCA/l+KTDqH0yP0Jupx1XtftuvvJmj4roZ9LZGtxVxS02nvHNZKSn5/DH8v+5OvvfuX6m6eSn5fNDVefzY3XnsuV1z9Q+41tNpYuX8Pt9z7HsuV/MmH8GK654gxWrl7HipVr67y3x11EMpJuRlZH3BUqVouH+qxp6qP4xdJngc4dsBSVYATMhN3X3aczALafZ5Mx9UUygECXTlTtvjOePXfF+4+dCHTKp/zgvSk/eG+cX82g4xW31vte5dv0BsA+97fan6WikMx7puJ87lUqTj6SqjGjQiMuVivZT7+K5bNpuGNsr3624qP+il8q9VlcIaWoqJQLLr0j+v2GjYVMfeq/PP3oZDIzXFS6PdHnLrvoVBb8tpTFS1YC8Mnn3zNh/G4cfMAePPrE6w3cofWGjOpXMxRt7Xu3VeqzpqmP4mG6nBTfdR0Zy/8i4+GnaajPfEMHsfk/j5Dx0ZfkT7kvYff3DewHgH35qui9rZs2k/n+52S+/zlBmw3vTiPw7Lcnlcceinf0SIIG9U7/eMP1KPb5i+r9HNaCQnIffhYefhbT5cTs1gXr6rr/aGuYfrbio/6KX2r1WVzzK4MG9ua8s46t9ZjDbsMMBvH5/bUe79a1I3Z77Qzk9wfw+2pfJyLpzTNhL6r2/AfFpxyOmeFq8DrfsMFgsVA1ZueE3TsI+Af1BcC2fHW91xh+P85f5pF7z+PgqSKYkxWtYan1XoaBb7thADjm/d7kvS2eKmyr16pSQqQRcYWU0tIKjj5iPCcdfxBWi4VuXTtywbnH8+nn3+PbInzM+GEuRx8xnm2G9MMwDMbttQujRg5vsCZFRNKT+6B9Q1/YbHhHbd/gdWbH/ND/79KRQHiH1pYyO3ckmJsD/gC2VY2PaBj+APY/VgDgGz6kzvP+gX0J5mRhVLqxLV+VkPaJpLu4QsqmzUVced0D7DV2FJ++N5VnH5vCosUruf/hVwCY9tETTBg/BoDnXnqPd97/ittuupDP3pvKqSccwjU3PszS5X8m/lOISJsU6NIJ7+gdo997d92xwWvNjnnRr31DByXk/v5Boake65p1MS3/tf/+R+j+29YNKb4dtw1ds3BJQmtmRNJZ3EuQ585fwnkX3Vbvc/sfel7064Bp8txL7/HcS+81u3Ei0r65DxwHFgtUecHpoGrXkQ1eG+iQH/3aP2wQ/NDyjSEjIcW+ov6pni3ZFy0D6g8pkXoUx7xFLW6XiIRoza+IJI374NBUT/ZzbwDgHzoIMz+33msj0z0AvqGDE3L/SNFsQ/UoW4qOpAwbXOtsHjMrk6p/7BS6Zr5CikiiKKSISFL4BvfHP3QQ+HxkvfEB9uVrAKjapf4pn1ohZViCpnvCG6/ZYhxJsa1ag+H2EMzKJNCvFxAqmC2+5UrMbl2wbNiEY9b8hLRNRBRSRGQr84wdTfFNl1L40L8BcE7/GUtpORmzfgPA28CUj1ljuifQpydmdmaL2hEE/APCK3uWxRZSjICJbclyALzbbgNA+dknUTVuDFR56XD5LVhqbMUgIi2jkCIiW02gc0eKHroZ98QDMHt0DY2i/PdDADJmLQSoty4laBiYHUKFs0Y4BPi2Gdi8NnTtTKBjPma3zgRzssDnx/bnXzG/3v770tD9tx2CZ6/dKD/vVADybn8ER3g6SEQSI+7C2fYqaLWoIl+klflGbAMWC9a//ib3zqk45i/CUlYOGGTMXQz+AIG+vQh074L1703R1wVzs8FmBcAxaz5Ve+yKf+ggnLN/i+v+gW6d2fTfJwk67GR88S0Atj//wvDHvn+TfVEopFSNHY37sAkAZL7+PpkfTourLSLSNI2kAN7thrLhu3couv0azHrO1RCRxPANDxW8On6dh2vGL+GAEmKpdEcLU7ccTQmE61GMkjLsC8PFq80oni0/88TQ6InTgfuw/YHYi2YjIiMpgX69CeZk4Zg1n9z7n4q7LSLSNIUUwLvLDgQzXHgOHEfB8/fj79E12U0SaZd8w0LBwr54Wb3PO36ZB4B39Mhaj0fqUSyFxdHXxls86+/RjcqJBwCQ+fYnEN6A0rZ0ZVzvY1u9FqMydNKO5e9N5F91G4a/sdPdRaS5FFIIbSgV4R86iIKXH8a704gktkikfYqGlEX1hxTnz3OB0EhKzVNDIit7rEXF2MOFq/4BfQna7THfu/zsk8Buw/HjbPJue5hO/7qUrOffCAWWOBimieuzbzCKSuhwxS1Yi0rier2IxE4hBTC7hkJK1otvYlu8DLNjPgVP3EnlkQcmuWUi7UegUwfMrp3BNLGFt5ffkmPe7+CpwuzSCf+APtHHIyHFUliM5e9NGEUlYLdFN2Nrir9PD9yH7gdAzuMvhe61aCm5jzyPtTj+kJF/60N0m3CiCmVFWplCCtUjKY75i+h0xuW4vvgO7HZKJl9CyVXnEwwX7IlI80W2sretWoPFU1XvNYbXFz2cr+ZS5MiW+JbCYgzAvjJ0vIa/f+8m7xsESi87F2xWnNN/wrFgcfM/RM22qtBepNUppFAdUiybCrB4qsi/5nayp74AQOUJEymcehtmXk4SWyjS9kWKZm2Llzd6nfOXuQBU1ahLidakhKdWrKtDS4b9/ZoOKZ4Je1G1927g9ZLz4LNxtlpEkintQ0rQMDA7dwTAurEAAAPIefZ1Olw6BaOiEu/okWx6dSqefXavNU8uIrHzN1GPEuEI16V4d9mBoCX0V1TN6R4IFa9C0yHFzMuh9KpJAGQ/+3p0BEZE2oa0DymB/Byw28A0sRQW1XrO9e2PdPrXpVjXrMPs0ZWi+26k6NFbMXOyk9RakbarqZU9EfZFSzHKKgjm5kSniAINhpRejb5X6aXnYHbMx7ZsFdnP/7cFrReRZFBI6dwBAEtBcb3LCO3LV9P5+PPJfuY18Hqp2n0Xyk87ems3U6RNM3OzCfTqDhBdndMQI2BGz7+J1KVUT/cUA2AN7xAb6NurwdHNqt1G4T58fzBN8m55MK4N20QkNSikRELK5oIGr7F4qsh57EVyH3gGAP/gAVulbSLtRWQUxbpmHZbyiiavj9alREJKp/zQ6wuKAbCtWQ+BAMGszOh0bU1mhouS6y8CQrvBJqpYVkS2rrQPKf5wSInUozTGFllR0LfxIWYRqS1SNGtvomg2IlqXMnIEZlYmwfAUa2S6x/D7sa7bANRfl1J+/mkEenXHum4DOVNfbGHrRSRZFFIiIWVTDCElPA8e6N2DoDXtu04kZp5xuwNgX7Aoputty1dj2VwIGS48e+8WetDnx6ixjX70f49b1KV4R2xDxYkTAci9/WGdSizShqX9b9pAl9BQsSWGkRTLxgJwe8BuI9CzW2s3TaRd8A3uj2/HbcHnJ+PTr2N6jUH1FvmeA/YGQvUoRo1r6lvhE7TZKLnxUrBayfj4S1w/zErIZxCR5Ej7kOLvnA/ENpJiBIPY1qwLva5v0/sziAhUHnUQAK5vZ2ItKGri6mrRLfJ32xmonuqJqN4rpXokpfyfx+IfMgBLUTG59z3ZglaLSCpI+5ASCBfdWWIIKQC28F+MWw4xi0hdQZcT9yHjAch859O4XusIF89itwHVG7lF2MIrfCL/YPAN6EP52ScCkHvPE1iKS5vbbBFJEbZkNyDZ4hlJAbD+GR5iVvGspAnT5cQ7ansCPbthdu2MddUanD/MiunMG/d+exLMycb61984fpoT131t6zZgXbueQO8eAFi3GEmxrQrXpPTqHprmueFicDhwTv8Z12ffxHUvEUlNaR1SgnY7ZofQmSCxhpTISEosZ4aItAfF906mavddaj9omji//ZEO19+F0cA5PEGbjcrjDgMg891PMYLx79fs+Hku7nBI2XK6x7KpAMPtIZjhouzck/HttB1GpZu8Ox6pVbsiIm1XWk/3RPZIwevDiHFoeMshZpH2LGi1UDVqewCc3/9MxjufYFuyHCwWqvbZncrwycJb8vfoRsGz9+Lbbih4vWR8MK1Z94/UpUDdkGIEg9FN3SpOPx6A7Kf+g/XvTc26l4iknrQeSTHDBwtaNxXE/C+vyIoCs3sXTJezwdNcRdoDf99e4HJiVLrpcMkUDDN08m/FSUdQesV5VJw4kcy3P6k1SuIZN4biKZcRzM3BKC0j/8Z7sW4ubNb9Hb/Oi34d2W22JtvqtfiHDgKLBduK1WS9+l6z7iMiqSm9R1Iipx/HsPw4wlJSFh11CfTp2SrtEkkV/iEDAbAtWxUNKAAZ73+BUV5BYEBfvP/YCQgv/73iXIruv4lgbg72BYvofOIFuL77qdn3txYWY1u0NPT12r/rPB+ZfgXIvesxbX0v0s6kdUgxu1aPpMQjOuUTwzHxIqnGzMwg6LDHdK1vaCikbHnejqWiMjqFU3HiEfh7dafg+fupPOlIALJeeotOZ16Jbf3GFre3w7V3knfD3ThmL6jzXGQFUMYH03D+Mq/O8yLStqX1dE+gSzNDyuq1+HYY3uQJrNI8/p7dqDjlKDz7jiX72dfJevOjZDep3fD36MbmVx7GurmQzqdehOH1NX59+BRi2x8r6jyX9cb7VJ5wOFV77srmkSMI5mRhFJeSP+W+Fo2ebMn251/RfxhsyfnrfLoecHJod1oRaXfSeiQlEB5JiXWPlIiaJ7BKYpWdeQKb3nuOyhMmYnbtTOXxhyW7Se1K6ZXnEeyQh3/IAMpPbfo0b9829Y+kQOiQP+f3PwMQzMnCPnchXU5q2fROc1g3FTRr5ZCIpL60DilmeEv8WA4XrCm6DFnTPQlXeeyhYLPi+HU+AP6B/TDzc5PcqvbBs9duVI0bE/2+/IwT8Pdo+HiHQKcOoROGTRPbslX1XpMz9UVsf6wg67nX6XTOVVpZIyIJldYhJdCtCxD/SEr0zJD+vQla0roLEypot2N27QxA/lW3YVuxGgDvDtsms1ntQtDlpPSq8wHIev6NUAjMcFF6+TkNvsYfHkWxrv6rwVVs9qUr6XLCJHIffQHDH0h8w0UkraXtb1gzOzO6k6Vt+Z9xvda2ai1GaRnB3Bw8++3RGs1LS4HuoYBiuD1Yikuwz/0dAO9IhZSWqjhhIoGe3bCs30j206+Se+dU8Aeo2ncsJddeSKBjfp3XRKd6/qg71SMisjWkbUjxbbtNaG+FdRtj2t67JsPnI+s/7wJQftZJBA3tbxm0WSl8+N8UPH03VaO2a9Z7BHp0B8C6fkPoFNy5CwHwjhyRqGamLe8uOwCQ/dKbWDxV2FesJvuZV4HQFNum95+j7OyTMDNc0ddUh5SVW7/BIiKkc0jZbigAzkXN+1di1mvvY5SV4x/cH8++YxPZtDbJO2oHqvbYFe/OO1D4zL0U3X09QacjrvcI9AzVR1jXbQCqQ4pvxDZxv5fU5hvYDwD7omXRx3Ke+g8dz7kK+8I/CGZlUn7+aaGi5aMOImi14A8vP7bVUzQrIrI1pG1I8W43DADn78uauLJ+lvIKsl57D4DyszWa4tnrH0A4YAQCePbbk8qjD47rPQI9ula/B2Bduz60tNRux7ftkMQ2OI2Y2VmY3UP1V7YVtac2nb/Op9NpF5N/ze1Y167H7NKRkhsuZtN/n4gWhtvrWX4sIrI1pGVICVI9kuL6vfn/Ssx69T2M8gr82wykao/RCWpd2xMEqsIhJfeex8l+/r8A+Af0jet9oiMp60MhpdaUz46a8mku/8DQn4Pl701YyivqPG8Eg2R88R1djjqb3LsfxygqITCgL1itWAqKtAeJiCRNWoYUs3uX0NJKnx/HH6ua/T6W0nJcX3wLgG/74QlqXdvjH9gvVIRc5cXx0xysa9aFHu/Z8PLWet8nGlKqdymNhpSdFFKayz+4PwD28Gqphhh+P1mvv0/XiaeT9exrGJVuXNO+04nCIpI0abnjbGSqx7ZsJZYmdtxsii18nkggvHS2vfD37UXhAzdh/XsTGV9+j/PrH7AW1V9gHBlFcf4yF4unCutf6wGiq6diFehRuyYFwD4nMpKyLUG7HcPXsj+vdBSpR2lor5MtWcoryZ36IjmPv1zrvB4Rka2tXY+kBG02Sq6eROVh+9d6PDLV41iwpMX3iOyxEujWvkKKe8LeocPjxuxMyQ0Xs/GLVyl4+m4qTjgcf3gTvIhIPYozvNOo7a9wcOveJeZ9ZII2W/XmejVDytIVGBWVBHNz2Pjh85T/8xjM7MwWf7504h8cDilNjKRsSQFFRJKtXY+kBHp0pfL4wwHwDR9M7n1PYgRMvNuHRlLsv7U8pFg3hHbYbG8jKYHwuUSOX+YRzMrAt+02eHfeAe/OO1AK2BcsxvXl9zhmzce3Q2iqyzU9FFIsmwrB5wO7HbNrp5h2IQ106wxWK3iqsBQWRx83/AHyb7yXkqsnYXbtTNnFZ1F+5olkvvsZWa++i3XD5oR/9vbGHx1JiS+kiIgkW7sOKbY168h54GnKLj2byhMmEujbi+xnX8M3bDAAjt8Wt/gekV+SZrfOBKHdzN/7w+cSZb7xARlfzcDfoxuefcfi2Xcsvh2H49t+GL5w2AOwLV4W7QvDNLGu20CgX2/8vXrEFlJq1KNs2Yeur3/AOf1n3AftQ8WpR+Mf3J+KU4+m4oSJZHzxLVkvvYV9qfbyqI+ZnxuqvwJsK+PbtFBEJNniDinjx+3Kjdedi7dGLcd338/mljufqnPtyB2GMumc4xjQvxdlZRW8+8FXvPzaxy1rcZyyX34b619/U3zrVVTtvgtVu+8CgFFWjnX1X5DZoUXvHzlBOZiZQTA7E6O8ssVtTrYgRE94jpw+a1u/gez/vEP2f97F3ncgxf8Yjmf8WLw77wBWKxmff1vrPSIhJdCrG8xq+p6RkGJbv6He5w2/n8wPp5Hx4TSqdt+Fin8eg3f0SNyHjMd9yHjybribzE++av6Hbkf8vbrjPnQ/Mt/5FH+fnkB4Obfbk+SWiYjEJ+6QMmzoAD6f9gO33/Nso9f17dODe2+/jPsefolPv5jBoIG9efjeq1nz1wa++e7XZje4OTK+moHtn5dQccpRePYdSzArE+ePcxJycqrhqcIoLiWYn0ugaxcs5W1/SN3MzyOYmwOERqO2ZCsoJuvNj8l68yPM/Fx8A/vimPd77WvWrscLBHrFVjy75R4pDTEA1w+/4vrhV7zDh1B2+Tl4R22Pd+cdFFIInSdV8ORdmF06UfWPncj4/Bsg/noUEZFUEHdIGT50AF99+0uT1x09cTzTZ8zm0y9mALB8xVrOu+hWKiqS8685+9KV5N90H8HbH8E7YpuEbvVt3VSAPz8Xs1tnaAe/DCL1KNb1GzCqvI1eaykuxTn7tzqPW9eFimf9vbrHds8edZcfN8WxaCkZH3+Jd9T2mJ3yY35de+Ub0IfCJ+6KFiD7Ro4g0D0U/mzL2/7PpYikn7hCimEYDB3SD4+nipOPPwiLxcLMn+bz+NP/pWyLaY7hwwbw6+zfmXL9eYzeeQTFxWW88fbnfPDxtw28O2yNig6jyodz9sKE3tu6YTP+IQPCxbNtvyolstOodfVfNP55Gn7O+ldoRCTQq3uj1wUtFgzTJNAzfG7Pug1N3LM2S0ExAGbHDnG9buvZOm3yDehL4ZN3YHbuiG3Jcpzf/0LFmSdU7zS7fPVWa0vLtZV2Jpv6KT7qr/jF2mctn5VoSFwhJT8/hz+W/cnX3/3K9TdPJT8vmxuuPpsbrz2XK69/oNa1uTlZHHvkftx46xPccsdTbDdiMPfcdimlZRX1Tve4MjpgxLhcNdEysjo2fVEjHIVlVAGW3n1a/F6pwD04VFjsWlfQ4Odp6nNaCiopBszePeq91nTY2TR5Eu6dhtPt+gcxwyEls8iNK44+NNwmRUCwc6eU6/tEt8fXqxt/33UFue98Qd4706KPewf0ZsND12F2yMPxxyp6XHY3lgo3f43bHe+g0G6z2euKcaZY/9Qn1f4MU5X6KT7qr/jF02fuioJWa0dcIaWoqJQLLr0j+v2GjYVMfeq/PP3oZDIzXFTWKMzz+fxM/2EOM3+aB8C8BX/w2f9+YN+9d603pHjcRSQj6WZkdcRd0bJtv4N/hYpLPR2yWvxeieDv1wv3gePIfvEtDE9V3K/39Aj/cC5fXu/niaXPzOWhaaJApw5UBipqtSPosFN052SqxoaOEthw84WYebmhtq9YFlcf+teGfoT9HXKprChMmX8rJeLnakvlu4/H168nBf93Kvw6G8eipfgG96cwHFBsi5bS4fzr8JaWA5Bz60MUPH8fhttDYNFC3E1M3SVba/RZe6R+io/6K36p1GdxhZRBA3uz/75jeOKZN6OPOew2zGAQn99f69qVq9dht9trPWa1WDAaPYiv9YaM6lezLc2/t3VjeBly104tep9EKTvnZDwH7QP+ADnPvhb36yPLj62r11L388TWZ0ZpGUZZOcGcbPw9umIPL38NOuwU3RcKKIbbg2XDZgL9Q9NLeL1YCgobfd8tWQuLQl84HQSzM1JkdVVifq625O/fJ/SFzUrJvy8nb8p9FD58C8EOedh//4OO51+Hpaw8er1j3kI6nn8tRpUXoyr+sLp1tU6ftT/qp/iov+KXWn0W1/xKaWkFRx8xnpOOPwirxUK3rh254Nzj+fTz7/H5aoeU9z78mr3G7sSE/cYAsOP22zBh/G58Pm1G4lqfIiIhJdCtS5JbEhIplqzafee4Xxs0jGhIsa1e2+w2GIA1svNs79BUTtBhp+j+m6IBpcNFN9Lx/27AKCkDwnukxLniyqjyYoQPzQvVpbRf/gF9qr8e1I+CFx4IBZTfltDxvGtrBZQI509zoucfiYi0NXGFlE2bi7jyugfYa+woPn1vKs8+NoVFi1dy/8OvADDtoyeYMD4USmbPXcTVkx/iuCP354sPHuf6q87i0Sff4PuZcxP+IZLNEt7ELNClU5JbEhJZ6eLbfnjcW8gHuncBpwN8vrhW2tQnspw40LM7QaeDwgemULX7LqGA8n+Tcc6aj+2vv+lw3Z0Ybg/On+Y06z6RHWrb8wqfINUhJefR50MPWq3YFyyi46Rr6z3dWESkrYt7CfLc+Us476Lb6n1u/0PPq/X9jz8v4MefFzSvZW2IdWNoR9Vgfi5Bl7NZdSCJZHbMD31hs+IdPRLX1z/E/NpAZBRlzboWn91iW7ueKsA/sC+F99+Ed8zO1QFldvXPhXPmLLqNPx6a2W+WgmICfXsRaMcjKWbnjgSzsyAQIOvld8Drw9+/N7kPPoMlJaa4REQSr11vi7+1GOWVoUPwsjIJdOlU7wZoW0vQ6Qj9MgurGrNzXCGl9vLjlomMpFQeeyhAOKDcUO++Ki0JdpaiYgDMTu03pPgHhlbpWNeux/D5yH7lnSS3SESk9bXrU5C3FgOwbEyN05C3HE2oGrNzXKVP0XqUPxMQUtauj35tVLobDCgtvk9BqHg2OoLUDkWmemwr1yS5JSIiW49CSoJEi2eTfBpypC7DUlQMPh+BXt2jUzixiOw2a0vASIp9+SoIBEIB5aLJrRJQoGZNSjseSQmv7LGtUkgRkfSh6Z4EiZ6GnOyQEh5Jsa7biK2yEu/okVSNGRXzyEh0uicRIykbNtPpjMuxFBZjC6/0aQ2W8EhKQCMpIiLtikZSEqR6GXKKjKQUFuH8IXT8cNWY2JYim5kZBHqHDgS0J+gMIseCxa0aUEAjKSIi7ZVCSoJYNoRW+CR7uidSk2IpKMY5MxRSvLvsSNDW9KCZf3D/0Gs3bsZSXNpqbUy09l6TYmZnRkfobOFN8URE0oFCSoJYN4UKZ80UGkmxLV2JpaCIYGYG3pHbNvla35ABQOjE6LbEEt51tr2OpERGUSybCrTcWETSikJKgkRqUvx9exHokJe0dkRrUgqKMIJBnD/OBmKb8omMpNjaWkgJn4QczHBhZriS25hWoKkeEUlXCikJYlu2EtuyVQSzsyj59xUEGz2jqPVER1LCv7gdM2OvS/GHR1Jsy1a1RtNajVHphvDhlu1xNEVFsyKSrhRSEsQImORfcwe4PVSNHU3FKUclpR3RmpTwFEikLsU/bHCjq1+CtN3pHgOwRopnW1iX4t53LCXXXxRTDc/W4h8Q2shNIUVE0o1CSgLZV6wm774nASi78HS8I7bZ6m3YciTFWlSCbdEyAKp2G9Xw67p3IZiTDT5/m/xlmIi6FDMrk5Ipl1F59MFUjWm4r7Y2/6B+gEKKiKQfhZQEy3jnU1xffAd2G8W3XxP3AX8tEbTbCebmAGAN/9KG6tEUbyNTPpFRFNuqNRh+f4PXpapIKGvJXinuw/ePHikQOUk62QKdOhDo0xNME/vvfyS7OSIiW5VCSoIZQN6tD2H9628CfXqGpg620r3NjuGCXZ8fo7Q8+rjzx3Bdym6jGqyVidajtLGpnojoSEozQ0rQMKg4YWL0+0C3LoloVot5d9oOCP256KRjEUk3CimtwFJeQf51d4I/gOeAcbgnHrBV7hutRykqxghWRyPH3N8xKt2YnTrg32Zgva+trkdZ0foNbQXW8EhKc6d7qvYYHRqxCAt0T5GQMioUUhxzWudIARGRVKaQ0kocCxaTM/UFAEquOh9fuPixNUV+QUemPiIMvx/Hr/OAhlf5+Ae39ZGUYqD5IykVJx4BVB+KmOzjDSIiIymOVjr3SEQklSmktKKsl94KLQHOcFF857UEnY5WvV+kaLZmPUqEM7oUuW5BaNBhj57ZY1+6qtXa15oi0z2BZoyk+Pv3xrvbKAgEyHn8pdD7JHlTPgAzOys6DaeRFBFJRwoprcgIBsmffA+WzYX4hwyg9NKzW/V+Zsf6R1KA6Dk+3pEj6mx45h/QF2xWjOJSLOGdc9uayGduzkiK+4BxADhn/IJ97kIgFFKStddNhHfkCLBYsK5eG936X0QknSiktDJrYTH5N94LQOVxh+HZa7dWu1egxpb4ddqxZl1oKsNux7vLDtHHg4ZB2dknAWBfvIzk/lpuPmu0cDb+kRTPvmMBcE2bHjrewDTB4cBM4s7BULMeZWFS2yEikiwKKVuB88fZZL34JgAlN1yEmZfTKvdpbCTFoOaUT3VdSvkZJ1C171jweqM1NG2RZVMhmCbBnCz8fXvF/Dp/v96hKRWfH9d3P2H4A1giBxYmeconWo+iqR4RSVMKKVtJzuMvYVu+GrNzR0quuaBV7tFYTQpQ5xwfzx67Un7+qQDk3fEojoVtdx8OS0Ulzuk/A1Bx4sQmrq7mGR8aRXH+PAdLWWjZtvXv8InWSVyGHHQ58W0b2gzQMXtB0tohIpJMCilbieH1kX/jPdXLkvfbM+H3aGwkBcDxy1zwBwj06437wHEU33UdWCxk/vdDMt//IuHt2dqyXn0XAPfhEzBzsmN6jXv8HgC4vpwRfcy6IfkhxbvdULDbsGzcjPWvv5PWDhGRZFJI2Yrsi5aR/dzrAJSH60ASKbLban01KQCW8krsCxYBUHz7NQQzXDhmziL33icT3pZkcPwyD9vSlQQzXFQeeWCT1/t7dcc/fAgEAji/mRl93LIxdKJ1MvdK8Y7aHggtPW6rdUIiIi2lkLKVZb32Hpgm/iED6l0uW37q0RTdeS1Vo3eMa6faoM1KMFzoaWlkJUhklQ+Afc5vdLj8321yG/z6GFSPplQcfzhBa+M/3pGCWces+ViLS6KPp8J0j3fncEiZNT9pbRARSTaFlK3MUlKGfXH4wL9/7FTruapR21F26dl4JuxN4ZN3UfDyw7j3HUvQ0vgfk2/oIIpvviL0TSCApaSswWszvpwOPh/2BYvpePGNWDxVLftAKSbj06+xFBZj9ugaDSEN8dQz1QM1p3uSUzgbtNnwbj8c0CZuIpLeFFKSwPHTHAC8NUJK0Gal9JoLAbAtWQ5uD74R21B872Q2vf0UlUceSNBur/NelRMPYPNrU/EctA8AGR/9D8M0G7y3bdVauu1/Ip1OvwxLeWUiP1ZKMLw+Mt/8CICKfx7b4GhUoGtnfDsMB9PE9fUPtZ6zbghN95itMJISBMpPPgr3hL0bbJtv2yHgcmIpKsa28s+Et0FEpK1QSEkCZzikVO02KvqLquLEI/AP7o+lqJhO515N10P+SfZT/8EoKSPQrzclky9h40cvUP7PYwg6qsNK1e67AKHg0/nkC8m/+YEm728pLW80yLR1WW98EAp5225TKwjWFBllsc9bhHVzYa3notM9XToRtFgouXoSm196CDOr5Sda+3YYTtnl51B857UU33pVnY31ALw7h/axUT2KiKQ7hZQkcMxdCJ4qzC6d8A/sR6BbZ8rPPQWAnIeexVJajrW4hJwnXqbrwaeSc9+TWP7ehNmlE2UXn0X5GSdE38vfuwcQqnWxL1qWlM+TaizFpWS++xkA5acfV+81kaXHGV9Or/v6gkIIBMBuw7vTdlQefzi+7YZStceuLW5bzT1qPAfvy+ZXHsE3uH+ta6KbuGnpsYikOYWUJDC8vugGXVW770zxbVcTzMzAPmchGR/+r9a1FreH7P+8S9fDTyfrP+8AoRoUCE0dBMIhxbpWy1Rryn7lbfD58e66E94R29R6LtAxP7pRmuurGXVeawTM0OZwQNmk06KPV+06ssXtqtotdHZS5lsfY9mwicCAPmx+8UEqD98fgKDVgnfHbQFwzFJIEZH0ppCSJJGN1crPPw3vqO0xyivIn3IvRrD+SgXD749uVhbZUTWYl0MwJwsA2zqFlJqsf28i49OvASg//fhaz3n22R0sFuy/LYlO7dR5fbh41hcOMwDeFoYUMzsT34ihAGQ9/wadT7wQ5w+/QoaLkimXUzzlcrw7bkswOwujrBzbslUtup+ISFunkJIkkbqUYLgmIe+2R7CtWd/oa2yr1wIQ6N2doNWCv1doFMWyqQCjna3SSYSsl94CoGqv3WrVk1Sv6qk71RMRCSkQ3jfF5yfQqzv+Xt2b3R7vLjuCzYp11Vps6zdiLS6hw/9NJnvqCxAI4D58fwofvQ0IbYXfnuuGRERioZCSJLalK6P7mWS8+xkZn3/T5GssGwvAUwV2O4Ee3Qj0Dv3CtK5tPNykK/uK1VjXrAObNVrnYeblhMICdZce11RzhCXz7U+w/7YYaNloSmSqx/nT7OhjRjBIzrOv0/G8a0NTTC4noKXHIiKgkJI0RjBI3i0PkfXSW+Td83jMr7GtWQeEpnwi9Sg2hZQGOX+eC1TvSeMZNwZsVmxLljfab9bwrrP4A2S+93md92lMoHMHik47AjO39tb8kddGpvpqtXPWfDqfOAnn9z9jlJTVWysjIpJuFFKSyPXdj+Q++ExcUzXRKZ9+vaLTPTrbpWGOn8N70oweCYBn3/o3cKvzujm/gWmS8cmXWDcV4Iy+z44EjYYXBgcNg6K7r6fo7GMpveiM6OP+Ht0I9OsN/kCDu8haC4vpeNGNdNv3OAVPEREUUtoc659/AeDv17vGyh79QmuI45dQIPAPGYC/by+qdguNZjRWjwKhc5a6TjiJvFseDH2/YAmG24PZIR//FkuGa6o85hB8I0cA4DlwXLQWxhu+r/23xU1uotdQ8bSISLpRSGljbKvDIaVvr2hNiv7V3TBrcUloB1+g9PJzwG7HtmI19pVrmn5tYTFGIFS8avj90RGQ8rNOovKQ8VSN2h5/j24EbVYgtItt2f+dHrq+ykswMwP3geMIGgaVEw8A6p/qERGR+tmS3QCJT2S6xz+oP2anfEDTPU1x/jwX/9BBVO35D6DpqZ4G32fmLKr22BXP/nvi2X/P6icCgVBRMxDMzsI+fxE502dTeMHJuI88EMPnw7fDcIyKyugmcyIi0jSFlDbGFp7uMbt0BMBwexo99VjA8fNcKk49Ovq963+NT/U0JPPdzwja7fgH9CHQvSuBHl0JdO8CDgdmj66hi3w+8m59mKxKk8Kzj8O37TaUXnk+ANlPv4p1U0GLP4+ISLpQSGljjOJSjJIygnk5QKgeRee7NM4xewH4/GC3YV2zDtvSlc16H8NTRXZ475WIoGFgdupAoHsXAj26Ylu7HvuyVVizOuL6agaeA8cRzMrEuvJPsl59LwGfRkQkfagmpY0xqB5NAU31xMLi9kT3OXF9+X1CQ50RDGLdXIjjtyVkTJte6/ykzHc+jX6dd9djGH5/Au8sItL+aSSlDbL9+Re+7YeFvlbRbExyH3qWyqMPJuult7faPR2/zif7yVcwyiui+6yIiEjsFFLaIOvqmiMpCimxcMxfhGP+oq16TwPIefKVrXpPEZH2JO7pnvHjduXbL55l2kdPRP+bfM05jb5mQP9efPnxk+y047BmN1Sq2f5cG/1apx+LiEh7FfdIyrChA/h82g/cfs+zMV3vdDq4+frzcIXPJJGWs9UYSdF0j4iItFdxj6QMHzqAxX+sivn6Ky4+je9maAOrRLKuXotRUYlRVo513YZkN0dERKRVxDWSYhgGQ4f0w+Op4uTjD8JisTDzp/k8/vR/Katnq+8D99+dXj27cse9z3L6qRNjuUM8zUmwtrOQ1+Lx0umMK8A0MXx+ktf2ttNnyaM+ip/6LDbqp/iov+IXa5+13lEecYWU/Pwc/lj2J19/9yvX3zyV/Lxsbrj6bG689lyuvP6BWtf27dODc844mvMvvg3TbPoDuDI6YFiSsyI6I6tjUu7bEhnrSkJfJKntbbHPtjb1UfzUZ7FRP8VH/RW/ePrMXdF6m1TGFVKKikq54NI7ot9v2FjI1Kf+y9OPTiYzw0Wl2wOAw27n35PP5+HHXmPDxsKY3tvjLiIZSTcjqyPuitjaKCHqs6apj+KnPouN+ik+6q/4pVKfxRVSBg3szf77juGJZ96MPuaw2zCDQXw1NqoaPmwAfXt355orzuCaK6qPq7/7tkv47IsZ3Pfwyw3cYWuf/lozFOnk2dioz5qmPoqf+iw26qf4qL/il1p9FldIKS2t4OgjxlNaVs4bb35O5875XHDu8Xz6+ff4fNUhZd6CP9j34NrLkmd8+QJXXf8gc+YtTkzLRUREpF2Lqwhk0+YirrzuAfYaO4pP35vKs49NYdHildz/cGjDqmkfPcGE8WNapaEiIiKSXowBwyckfzwnaYwac29p3A1xUZ81TX0UP/VZbNRP8VF/xS+1+kwHDIqIiEhKUkgRERGRlKSQIiIiIilJIUVERERSkkKKiIiIpCSFFBEREUlJCikiIiKSkhRSREREJCUppIiIiEhKSvMdZ0VERCRVaSRFREREUpJCioiIiKQkhRQRERFJSQopIiIikpIUUkRERCQl2ZLdgKYMHtiHC887nqFD+uPzB/j519945PHXKCktZ9thA7nkwpMZ0L8XxcVlvPifD/no0++ir/3XKYdzyIF7kpebzfoNm3n+5ff55rtf69zj7NOP4oD9dueYk69otC1jdt2B888+lp49urJhYwFTn3qDH36cB4DDYefiSSex59hR2O02/li6mocff5XlK9YmtkOa0Fb6y263cda/jmTC+DG4XE7mzFvMg4/+h42bChPbIQ1IpX6KGLfnLkw65ziOO/WqWo+fdPxBHHvk/uRkZ7FoyUrueeAF/lz7d8s6oBnaUp8BXHzBSWRnZXLb3c80/0M3Q1vpJ4fdzvlnH8u4vXYhM8PF6jXreeKZN5k9d3HLOyEOrdVfHTrk8tFbD1Pp9kSvLykpb7TPGvs7q6Zk/WxB2+mvRP18pfRIisNh5747LmPBwmUcduzFnHLmdeTlZnPdVWeRk53JvXdcxmfTfuDAwydxx73PcdH5JzJ86AAAjjtqAgcfsAdXXHc/Ew4/n6eee5sbrzkn+nzEzjsN5+TjD26yLb17deO2KRfy9AvvcsDh5/Psi+9yy+RJdO6cD8CZ/zyCPr27cfIZ13HYMRexbMWf3HHzRQnvk8a0pf4676xjGLfnLlx29b0cdsxFrP1rAw/efSU2mzXh/bKlVOonAKvVyknHH8TNN5yHxVL7f5IHTRjLsUfuz2VX38vBR17IkqWruG3KhYnpiDi0pT7Lzc3ixmvP4bijJiTmw8ehLfXT+Wcfy/YjBnPu/93KQUdewIeffMfdt15Kt64dE9MZMWjN/ho+dADr1m9i/0PPi/7X2C/cpv7OguT+bEHb6q9E/XyldEjp3rUTS1es4fmX38fvD1BaWsH7H33NyO23Ydxeu1BSWs47739JwDSZPXcRX3w5k6OPGA9ATk4mL7zyAav/XA/AjJlzWfXnOnbYbkj0/Tt0yOXqy07nzXemNdmWgyaMZd6CP5g+YzYB0+Srb39hzvwlTDxkHAD9+/bEMCwYBhiGgRkI4vFUJb5TGtGW+mv/fcfw/Mvvs3L1Ovz+AE888yZdunRgl1HbJr5jtpBK/QTw4N1XMGrkcF557ZM6zx128N68+8FXrFy9Dq/Px+NPv0m3rp0YNXJYAnoidm2lzzJcTl574U7Kyyv5+rtfEvTpY9dW+gnA4bTzzIvvsnFTIaYZ5MNPvsXn8zF0SP+Wd0SMWrO/hg8dwOI/VsXclqb+zkr2zxa0rf5K1M9XSk/3/Ln2b6649v5aj43bazRLlq5iQL9erNhiKmXV6nUcetBeADz74nu1nuvXtwcD+vWK/iEYhsFN157Lf974BJ/Pzz6MbrQtA/r3YvnKuvcbPKgvAK+9+Rm3TbmQT9+dij8QoKSknP+7/M54P3KLtKX+slgMPB5v9LlgMPR/+vXpwY8/L4j1IzdLKvUTwL/veIpNm4s4+IA96jw3oH8v/vNG9S+YQCDAmr82MHhg3606LN9W+szr9XHKmddTVFTK9VedFeenbLm20k8A9zzwYq3vR40cTlZWJkuX/9nk+yZKa/bX8KEDyM3J5uVnbqVDh1wWL1nJo0++warV6+ptS1N/ZyX7ZwvaVn8l6ucrpUdStnT26UcxdsxIHpz6KpmZLtxbjFR4qrxkZDjrvK5P727ce/tlfP7lTOYt+AOAf558GBUVbt7/6JuY7p2Z4aozMlLl8ZLhCt3ParXwzfRfmXj8JRw08QKmz5jNnbdcjMNub8YnTYxU7q9vp8/itJMPpVePLjjsds4+/SgcTgdOp6MZn7RlktlPAJs2FzX4XGamC7d7i36sqqq3PVtTqvZZwDQpKiqN/YO0slTtpy2NGD6IW2+6gOdeeo/1f2+O+f0TLZH9VVZeybwFf3DhZXdy3ClXsWZtaEo5Kyuj3ns39XdWqv1sQWr3V00t+flK6ZGUiMxMF9dfeRZDt+nPBZfewYqVa3F7qujSObPWdS6ng8pKT63Hxo4ZyQ1XncXHn3/Po0+8DsCO22/DwQfswZnnT6n3fqeddCinnnRo9Psrrr0fj6eqzi9Qp8tBpduD1Wrl1hsv4IrrHmDz5mIA7n/kFT5//zFG7zKCGTPntqwD4pTq/QXwyBOvMens45j64HUEAgE+/OQ7VqxYS2lZRUs/fsxSoZ8if0E0xOOuwuXaoh+dzlrFbVtTW+izVNCW+umwg/fiokkn8cwL7/LGW5/H8SkTJ9H9BXDz7U/Wuu7hx1/jkAP3ZMftt2HwwD5x/52VStpSf7X05yvlQ0qvHl24947L2LCxgDPPn0JJaTkAK1b+xa47b1fr2v79erJi1V/R7/91yuGcfPxB3P3Ai0z76sfo4wfstzsdOuTy5n/uBcBus+Jw2Pns/ce46voHeOnVj3jp1Y9qvfc/Rm/PNkP61bnfkiWryMxwkpubjd1e3Z2maRIMmvh8/sR0RIzaQn8BdOncgRde+ZD7H3kFgJzsTE476dC45kRbIlX6qSkrVv3FgP69ohXzVquVPr26sWKLYdatoa30WbK1lX6yWAwuv/g09t5jZ6698WF+nf17cz9yi7RGf2VmuDj9tIm89e7/2LCxAACLxYLNZqWqytusv7NSRVvpr0T9fKX0dE9OdiYP33c1CxYu49Kr74v+YQB8+/2vdOyYx3FHTcBqtTJq5DAmjB/Dx5+Fllsdf8wBnHDsgUy69I5afxgAdz/wAvsfeh4HTpzEgRMncd/DL7NhYyEHTpzE/N+W1tuWz6b9wKgdh7Hv3qOxWizsu/doRu04jM/+NyM8TLaESWcfR35+Dg67nUlnH0dxSTnzf9t6/+prK/0FcPzRB3D9VWeR4XKSk53J5RefxuI/VrF4ycpW6p1qqdRPTfn4s+kcc8R+DB7YJ7qkr7CohLnzt+5oQlvqs2RqS/100fknsdvoHTjz/JuTFlBaq78q3R5GjxrBheedQFZWBhkuJ5dddArr/t7U4P92mvo7KxW0pf5K1M9XSp+CfPwxB3DR+SfidlcRpHYz9z/0PIZt05+LLziZQQN6U1xSxguvfMAnn38PwGfvP0aGy4F3i5GMl+tJhAcfsAdnnHZEk3sO7LrLdkw6+zh69ezC3xsKeOyp/zLz5/lAqOr+gnOOZ9ddtsNms7Lw9+U8/PirrFm7oaXdELO21F+ZmS6uvOSf/GP09gD89PMCHpj6CqWlrT/dk2r91NT1Jxx7IEcdvi8d8nNC+6Q8+OJW/bmCttdnQLS4cWvuZdFW+ikvN5sP33oY0zTx+Wvf754HXuSLL2fG9bmbqzX7q1vXTlw86UR23GEodpuN2XMX8cCj/4mOFNSnsb+zakrGzxa0nf5K5M9XSocUERERSV8pPd0jIiIi6UshRURERFKSQoqIiIikJIUUERERSUkKKSIiIpKSFFJEREQkJSmkiIiISEpSSBEREZGUpJAiIiIiKUkhRURERFKSQoqIiIikpP8HW3jz3JLWkQIAAAAASUVORK5CYII=",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "plt.plot(dados_mercado[\"DOLAR\"])\n",
        "plt.title(\"DOLAR\")\n",
        "\n",
        "plt.savefig(\"dolar.png\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "0c83e074-14e0-478f-9832-0f7fb575c763",
      "metadata": {
        "id": "0c83e074-14e0-478f-9832-0f7fb575c763",
        "outputId": "d8a004c4-10ec-4c68-b769-52ed684d37ce"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "plt.plot(dados_mercado[\"S&P500\"])\n",
        "plt.title(\"S&P500\")\n",
        "\n",
        "plt.savefig(\"sp500.png\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "c2f33425-6ff5-41ce-bd22-1efa7220fb09",
      "metadata": {
        "id": "c2f33425-6ff5-41ce-bd22-1efa7220fb09",
        "outputId": "2ae32331-a275-4979-a0fb-c2e5dc5ceb02"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "plt.plot(dados_mercado[\"BTC\"])\n",
        "plt.title(\"BTC\")\n",
        "\n",
        "plt.savefig(\"btc.png\")"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "79f9baa1-bb6f-4b71-a421-c8f7d9790e21",
      "metadata": {
        "id": "79f9baa1-bb6f-4b71-a421-c8f7d9790e21"
      },
      "source": [
        "# Passo 5 - Calcular retornos diários."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "a7f47c8d-589c-4063-ad99-885c9fa38898",
      "metadata": {
        "id": "a7f47c8d-589c-4063-ad99-885c9fa38898",
        "outputId": "d807cea0-3669-41ba-df5b-23fdf8d3557d"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>DOLAR</th>\n",
              "      <th>BTC</th>\n",
              "      <th>IBOVESPA</th>\n",
              "      <th>S&amp;P500</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Date</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2024-07-29</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2024-07-30</th>\n",
              "      <td>-0.001483</td>\n",
              "      <td>-0.009262</td>\n",
              "      <td>-0.006420</td>\n",
              "      <td>-0.004960</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2024-07-31</th>\n",
              "      <td>-0.000606</td>\n",
              "      <td>-0.023893</td>\n",
              "      <td>0.011995</td>\n",
              "      <td>0.015793</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2024-08-01</th>\n",
              "      <td>0.008109</td>\n",
              "      <td>0.011425</td>\n",
              "      <td>-0.002013</td>\n",
              "      <td>-0.013694</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2024-08-02</th>\n",
              "      <td>0.016618</td>\n",
              "      <td>-0.060321</td>\n",
              "      <td>-0.012096</td>\n",
              "      <td>-0.018382</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2025-01-21</th>\n",
              "      <td>-0.003322</td>\n",
              "      <td>0.016123</td>\n",
              "      <td>0.008075</td>\n",
              "      <td>0.008768</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2025-01-22</th>\n",
              "      <td>-0.001542</td>\n",
              "      <td>-0.023488</td>\n",
              "      <td>-0.002967</td>\n",
              "      <td>0.006138</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2025-01-23</th>\n",
              "      <td>-0.013321</td>\n",
              "      <td>0.002963</td>\n",
              "      <td>-0.003977</td>\n",
              "      <td>0.005313</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2025-01-24</th>\n",
              "      <td>-0.002744</td>\n",
              "      <td>0.008266</td>\n",
              "      <td>-0.000294</td>\n",
              "      <td>-0.002855</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2025-01-28</th>\n",
              "      <td>-0.009149</td>\n",
              "      <td>-0.025031</td>\n",
              "      <td>0.014661</td>\n",
              "      <td>-0.005958</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>121 rows × 4 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "               DOLAR       BTC  IBOVESPA    S&P500\n",
              "Date                                              \n",
              "2024-07-29       NaN       NaN       NaN       NaN\n",
              "2024-07-30 -0.001483 -0.009262 -0.006420 -0.004960\n",
              "2024-07-31 -0.000606 -0.023893  0.011995  0.015793\n",
              "2024-08-01  0.008109  0.011425 -0.002013 -0.013694\n",
              "2024-08-02  0.016618 -0.060321 -0.012096 -0.018382\n",
              "...              ...       ...       ...       ...\n",
              "2025-01-21 -0.003322  0.016123  0.008075  0.008768\n",
              "2025-01-22 -0.001542 -0.023488 -0.002967  0.006138\n",
              "2025-01-23 -0.013321  0.002963 -0.003977  0.005313\n",
              "2025-01-24 -0.002744  0.008266 -0.000294 -0.002855\n",
              "2025-01-28 -0.009149 -0.025031  0.014661 -0.005958\n",
              "\n",
              "[121 rows x 4 columns]"
            ]
          },
          "execution_count": 22,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "retornos_diarios = dados_mercado.pct_change()\n",
        "\n",
        "retornos_diarios"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "a4813b92-7d96-4262-9450-350b54be8e94",
      "metadata": {
        "id": "a4813b92-7d96-4262-9450-350b54be8e94"
      },
      "outputs": [],
      "source": [
        "retorno_dolar = retornos_diarios[\"DOLAR\"].iloc[-1]\n",
        "retorno_ibovespa = retornos_diarios[\"IBOVESPA\"].iloc[-1]\n",
        "retorno_sp = retornos_diarios[\"S&P500\"].iloc[-1]\n",
        "retorno_btc = retornos_diarios[\"BTC\"].iloc[-1]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "214a25de-dbc9-496c-967b-6000efc70cd7",
      "metadata": {
        "id": "214a25de-dbc9-496c-967b-6000efc70cd7",
        "outputId": "026cc364-5a83-4c1d-cd03-cece0cb8a5a3"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "'-0.91%'"
            ]
          },
          "execution_count": 28,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "retorno_dolar = str(round(retorno_dolar * 100, 2)) + \"%\"\n",
        "\n",
        "retorno_dolar"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "55c68e0f-6c01-4903-961e-19708153d002",
      "metadata": {
        "id": "55c68e0f-6c01-4903-961e-19708153d002",
        "outputId": "a2c6545c-9a0f-4dcc-95e1-6b151465e5c8"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "'-2.5%'"
            ]
          },
          "execution_count": 30,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "retorno_ibovespa = str(round(retorno_ibovespa * 100, 2)) + \"%\"\n",
        "retorno_sp = str(round(retorno_sp * 100, 2)) + \"%\"\n",
        "retorno_btc = str(round(retorno_btc * 100, 2)) + \"%\"\n",
        "\n",
        "retorno_btc"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "efda1f6d-41c4-4f9d-9886-88e9533604cb",
      "metadata": {
        "id": "efda1f6d-41c4-4f9d-9886-88e9533604cb"
      },
      "source": [
        "# Passo 6 - Configurar e enviar o e-mail"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "7539ad87-b1b9-465f-ac99-851632800b36",
      "metadata": {
        "id": "7539ad87-b1b9-465f-ac99-851632800b36"
      },
      "outputs": [],
      "source": [
        "!pip install pywin32"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "3e60a693-7395-4162-974b-020c8cc36cc9",
      "metadata": {
        "id": "3e60a693-7395-4162-974b-020c8cc36cc9"
      },
      "outputs": [],
      "source": [
        "import win32com.client as win32"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "03d6d120-3214-4638-b67f-759938b2ca20",
      "metadata": {
        "id": "03d6d120-3214-4638-b67f-759938b2ca20"
      },
      "outputs": [],
      "source": [
        "outlook = win32.Dispatch(\"outlook.application\")\n",
        "\n",
        "email = outlook.CreateItem(0)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "81b7b945-5c1d-4904-99b0-4856183ed571",
      "metadata": {
        "id": "81b7b945-5c1d-4904-99b0-4856183ed571"
      },
      "outputs": [],
      "source": [
        "email.To = \"evento@varos.com.br\"\n",
        "email.Subject = \"Relatório de Mercado\"\n",
        "email.Body = f'''Prezado diretor, segue o relatório de mercado:\n",
        "\n",
        "* O Ibovespa teve o retorno de {retorno_ibovespa}.\n",
        "* O Dólar teve o retorno de {retorno_dolar}.\n",
        "* O S&P500 teve o retorno de {retorno_sp}.\n",
        "* O BTC teve o retorno de {retorno_btc}.\n",
        "\n",
        "Segue em anexo a peformance dos ativos nos últimos 6 meses.\n",
        "\n",
        "Att,\n",
        "Melhor estagiário do mundo\n",
        "\n",
        "\n",
        "'''\n",
        "\n",
        "anexo_ibovespa = r\"C:\\Users\\VAROS\\Downloads\\ibovespa.png\"\n",
        "anexo_dolar = r\"C:\\Users\\VAROS\\Downloads\\dolar.png\"\n",
        "anexo_sp = r\"C:\\Users\\VAROS\\Downloads\\sp500.png\"\n",
        "anexo_btc = r\"C:\\Users\\VAROS\\Downloads\\btc.png\"\n",
        "\n",
        "email.Attachments.Add(anexo_ibovespa)\n",
        "email.Attachments.Add(anexo_dolar)\n",
        "email.Attachments.Add(anexo_sp)\n",
        "email.Attachments.Add(anexo_btc)\n",
        "\n",
        "email.Send()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "68876d20-8ef8-4c46-8d40-47a09ac97d14",
      "metadata": {
        "id": "68876d20-8ef8-4c46-8d40-47a09ac97d14"
      },
      "outputs": [],
      "source": []
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "0ee49818-a025-4376-aa35-0fd8f01ab89b",
      "metadata": {
        "id": "0ee49818-a025-4376-aa35-0fd8f01ab89b"
      },
      "outputs": [],
      "source": []
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "e769424a-4a24-46db-9c1a-3c32980004d6",
      "metadata": {
        "id": "e769424a-4a24-46db-9c1a-3c32980004d6"
      },
      "outputs": [],
      "source": []
    }
  ],
  "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": "3.11.7"
    },
    "colab": {
      "provenance": [],
      "include_colab_link": true
    }
  },
  "nbformat": 4,
  "nbformat_minor": 5
}