inflação.ipynb

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      "cell_type": "markdown",
      "source": [
        "Vamos ver alguns aspectos sobre a inflação acumulada mensal, isto é, de mês a mês. A série histórica começou a ser medida em 1994, com o Plano Real, porém, como tivemos taxas absurdas acima de 40%, preferi contar a partir do ano seguinte. A última taxa divulgada foi de abril, então só temos 4 dados desse ano."
      ],
      "metadata": {
        "id": "x6afEAgUAgxH"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Importando as bibliotecas\n",
        "\n"
      ],
      "metadata": {
        "id": "DSynmKty_PMb"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 1,
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        "id": "r0tD8LIKttQp"
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      "source": [
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "import matplotlib.colors as colors\n",
        "import seaborn as sns\n",
        "from prophet import Prophet\n",
        "import numpy as np\n",
        "import statsmodels.formula.api as smf"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Lendo o arquivo CSV"
      ],
      "metadata": {
        "id": "z180eoAa_XDj"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df=pd.read_csv('https://raw.githubusercontent.com/mths-andrade/inflacao/main/inflacao.csv')"
      ],
      "metadata": {
        "id": "PsPmYUiz36qN"
      },
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Convertendo as datas e números"
      ],
      "metadata": {
        "id": "TnOocoRm_Zog"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df['data']=pd.to_datetime(df['data'])\n",
        "df['inflacao']=pd.to_numeric(df['inflacao'])\n",
        "df.info()"
      ],
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      "execution_count": 3,
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          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 354 entries, 0 to 353\n",
            "Data columns (total 2 columns):\n",
            " #   Column    Non-Null Count  Dtype         \n",
            "---  ------    --------------  -----         \n",
            " 0   data      354 non-null    datetime64[ns]\n",
            " 1   inflacao  354 non-null    float64       \n",
            "dtypes: datetime64[ns](1), float64(1)\n",
            "memory usage: 5.7 KB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Adicionando uma coluna com os meses e anos"
      ],
      "metadata": {
        "id": "HfXI61ywETXV"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df['ano'] = df['data'].dt.to_period('Y')\n",
        "df.head()"
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      "execution_count": 4,
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            "text/plain": [
              "        data  inflacao   ano\n",
              "0 1995-01-01      1.70  1995\n",
              "1 1995-02-01      1.02  1995\n",
              "2 1995-03-01      1.55  1995\n",
              "3 1995-04-01      2.43  1995\n",
              "4 1995-05-01      2.67  1995"
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          "metadata": {},
          "execution_count": 4
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      "source": [
        "df.info()"
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        "id": "JKHMS6b2OqLE",
        "outputId": "c165c0ab-f113-42f6-da4c-252549ad112c"
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      "execution_count": 5,
      "outputs": [
        {
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          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 354 entries, 0 to 353\n",
            "Data columns (total 3 columns):\n",
            " #   Column    Non-Null Count  Dtype         \n",
            "---  ------    --------------  -----         \n",
            " 0   data      354 non-null    datetime64[ns]\n",
            " 1   inflacao  354 non-null    float64       \n",
            " 2   ano       354 non-null    period[A-DEC] \n",
            "dtypes: datetime64[ns](1), float64(1), period[A-DEC](1)\n",
            "memory usage: 8.4 KB\n"
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    {
      "cell_type": "markdown",
      "source": [
        "### Estatísticas descritivas"
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              "                                data    inflacao\n",
              "count                            354  354.000000\n",
              "mean   2009-09-15 15:15:15.254237184    0.545254\n",
              "min              1995-01-01 00:00:00   -0.680000\n",
              "25%              2002-05-08 18:00:00    0.260000\n",
              "50%              2009-09-16 00:00:00    0.470000\n",
              "75%              2017-01-24 06:00:00    0.740000\n",
              "max              2024-06-01 00:00:00    3.020000\n",
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              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-a7117b70-1eb2-4a57-ba67-e91607d5cf96 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-a7117b70-1eb2-4a57-ba67-e91607d5cf96');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-e06087f7-1d2a-456e-813d-7586571d7e2e\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-e06087f7-1d2a-456e-813d-7586571d7e2e')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-e06087f7-1d2a-456e-813d-7586571d7e2e button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 8,\n  \"fields\": [\n    {\n      \"column\": \"data\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": \"1970-01-01 00:00:00.000000354\",\n        \"max\": \"2024-06-01 00:00:00\",\n        \"num_unique_values\": 7,\n        \"samples\": [\n          \"354\",\n          \"2009-09-15 15:15:15.254237184\",\n          \"2017-01-24 06:00:00\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"inflacao\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 124.91882458381777,\n        \"min\": -0.68,\n        \"max\": 354.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          0.5452542372881357,\n          0.74,\n          354.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "media=(df['inflacao'].mean()).round(2)\n",
        "min=(df['inflacao'].min()).round(2)\n",
        "max=(df['inflacao'].max()).round(2)\n",
        "desv_pad=(df['inflacao'].std()).round(2)\n",
        "mediana=(df['inflacao'].median()).round(2)\n",
        "moda=(df['inflacao'].mode()).round(2)"
      ],
      "metadata": {
        "id": "8AqIzCNX-UjU"
      },
      "execution_count": 7,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "moda1=moda[0]\n",
        "moda2=moda[1]"
      ],
      "metadata": {
        "id": "yBYmPfjdKptn"
      },
      "execution_count": 8,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df.sort_values(by='inflacao')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "Q7OR_tNo-UhB",
        "outputId": "0673867b-e963-40be-b557-5eb9be2d1b3b"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "          data  inflacao   ano\n",
              "330 2022-07-01     -0.68  2022\n",
              "43  1998-08-01     -0.51  1998\n",
              "304 2020-05-01     -0.38  2020\n",
              "331 2022-08-01     -0.36  2022\n",
              "303 2020-04-01     -0.31  2020\n",
              "..         ...       ...   ...\n",
              "5   1995-06-01      2.26  1995\n",
              "6   1995-07-01      2.36  1995\n",
              "3   1995-04-01      2.43  1995\n",
              "4   1995-05-01      2.67  1995\n",
              "94  2002-11-01      3.02  2002\n",
              "\n",
              "[354 rows x 3 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-0b4edde3-2176-46af-b5b3-8fc03f912353\" class=\"colab-df-container\">\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>data</th>\n",
              "      <th>inflacao</th>\n",
              "      <th>ano</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>330</th>\n",
              "      <td>2022-07-01</td>\n",
              "      <td>-0.68</td>\n",
              "      <td>2022</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>43</th>\n",
              "      <td>1998-08-01</td>\n",
              "      <td>-0.51</td>\n",
              "      <td>1998</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>304</th>\n",
              "      <td>2020-05-01</td>\n",
              "      <td>-0.38</td>\n",
              "      <td>2020</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>331</th>\n",
              "      <td>2022-08-01</td>\n",
              "      <td>-0.36</td>\n",
              "      <td>2022</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>303</th>\n",
              "      <td>2020-04-01</td>\n",
              "      <td>-0.31</td>\n",
              "      <td>2020</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>1995-06-01</td>\n",
              "      <td>2.26</td>\n",
              "      <td>1995</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>1995-07-01</td>\n",
              "      <td>2.36</td>\n",
              "      <td>1995</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>1995-04-01</td>\n",
              "      <td>2.43</td>\n",
              "      <td>1995</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>1995-05-01</td>\n",
              "      <td>2.67</td>\n",
              "      <td>1995</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>94</th>\n",
              "      <td>2002-11-01</td>\n",
              "      <td>3.02</td>\n",
              "      <td>2002</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>354 rows × 3 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-0b4edde3-2176-46af-b5b3-8fc03f912353')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-0b4edde3-2176-46af-b5b3-8fc03f912353 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-0b4edde3-2176-46af-b5b3-8fc03f912353');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-0164c5da-e3a7-47bd-84ae-a9369df9446e\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-0164c5da-e3a7-47bd-84ae-a9369df9446e')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
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              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-0164c5da-e3a7-47bd-84ae-a9369df9446e button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 354,\n  \"fields\": [\n    {\n      \"column\": \"data\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": \"1995-01-01 00:00:00\",\n        \"max\": \"2024-06-01 00:00:00\",\n        \"num_unique_values\": 354,\n        \"samples\": [\n          \"2014-09-01 00:00:00\",\n          \"2009-08-01 00:00:00\",\n          \"2011-01-01 00:00:00\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"inflacao\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.4643964895283381,\n        \"min\": -0.68,\n        \"max\": 3.02,\n        \"num_unique_values\": 145,\n        \"samples\": [\n          0.56,\n          2.26,\n          0.12\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"ano\",\n      \"properties\": {\n        \"dtype\": \"period[A-DEC]\",\n        \"num_unique_values\": 30,\n        \"samples\": [\n          \"2001\",\n          \"2016\",\n          \"2002\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(f'A média da inflação acumulada é de {media}%, enquanto o mínimo é de {min}% em julho de 2022 e o máximo, {max}% em novembro de 2002.')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "VLRx5J_R-Udd",
        "outputId": "ca269644-d0f3-4ee9-fac8-ed81186e7d10"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "A média da inflação acumulada é de 0.55%, enquanto o mínimo é de -0.68% em julho de 2022 e o máximo, 3.02% em novembro de 2002.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Frequência dos valores"
      ],
      "metadata": {
        "id": "2PIjohx7CCrb"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "fig = plt.figure(figsize=(5,4))\n",
        "eixo = fig.add_axes([0,0,1,1])\n",
        "mu, med, desv, moda = media, mediana, desv_pad, moda\n",
        "\n",
        "\n",
        "N, bins, patches = eixo.hist(df['inflacao'], bins=20, edgecolor='black')\n",
        "eixo.set_title('Frequência das inflações acumuladas', fontsize=15, pad=10)\n",
        "eixo.set_xlabel('Inflação (%)', fontsize=15)\n",
        "eixo.set_ylabel('Frequência', fontsize=15)\n",
        "\n",
        "fracs = N / N.max()\n",
        "\n",
        "norm = colors.Normalize(fracs.min(), fracs.max())\n",
        "\n",
        "for thisfrac, thispatch in zip(fracs, patches):\n",
        "    color = plt.cm.Purples(norm(thisfrac))\n",
        "    thispatch.set_facecolor(color)\n",
        "\n",
        "eixo.annotate('$média = {0:.2f}$'.format(mu),\n",
        "               xy=(2.0, 50), fontsize=10, color='red')\n",
        "eixo.annotate('$mediana = {0:.2f}$'.format(med),\n",
        "               xy=(2.0, 47), fontsize=10, color='orange')\n",
        "eixo.annotate('$moda1 = {0:.2f}$'.format(moda1),\n",
        "               xy=(2.0, 44), fontsize=10, color='black')\n",
        "eixo.annotate('$moda2 = {0:.2f}$'.format(moda2),\n",
        "               xy=(2.0, 41), fontsize=10,color='gray')\n",
        "eixo.annotate('$desvpad = {0:.2f}$'.format(desv),\n",
        "               xy=(2.0, 38), fontsize=10,color='green')\n",
        "\n",
        "eixo.axvline(mu, color = 'red', linestyle='--')\n",
        "eixo.axvline(med, color='orangered', linestyle='--')\n",
        "eixo.axvline(moda1, color='black', linestyle='--')\n",
        "eixo.axvline(moda2, color='gray', linestyle='--')\n",
        "\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 517
        },
        "id": "tMcBZW3F-Ua9",
        "outputId": "76a08f14-ae0c-4cde-add7-86a256f17459"
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 500x400 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Série histórica"
      ],
      "metadata": {
        "id": "KiYcA3-ECX2A"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "x=df.data\n",
        "y=df.inflacao\n",
        "\n",
        "plt.figure(figsize=(12,6))\n",
        "ax=sns.lineplot(data=df, x='data', y='inflacao')\n",
        "plt.title('Inflação acumulada ao longo do tempo')\n",
        "plt.xlabel('Data')\n",
        "plt.ylabel('Inflação (%)')\n",
        "ax.hlines(y = y.mean(), xmin = x.min(), xmax = x.max(), colors='black', linestyles='dashed')\n",
        "ax.text(8800, 0.6, 'Média', fontsize=10, color = 'black', ha = \"left\")\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 564
        },
        "id": "N2qc0yhG-UYq",
        "outputId": "6f160533-a35d-4159-a359-93d9675b6ff0"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x600 with 1 Axes>"
            ],
            "image/png": 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jRowAAKxduxYnnHBC3Ofr2bOnablwLrKDPXv2jJlq7vf7sXPnzoSf98UXX+Cbb77Bo48+igsuuED9+JIlS3SPkz834+8PANavX6/7+wsvvICSkhK8/vrr8Hg86scXLFiQ9PtI93iMXxsI/6579+6N8vLypF8vV88nn1NRFGzatEmXUd6wYYPucbW1tSgrK4v7te12e0yVhvHrvPXWW2htbdUFzsbny/Z7jNdOIt8PVVVVCd8PVjK+DoUQ2LBhAw4++GAA+u/1+OOP1z12/fr1Cc8DRETFgCX3RESUFZltM2bX7r77bt3f7XY7ZsyYgf/85z/47LPPYp5Hfr7D4Yh5rueeey6mj/yUU07Brl278Mwzz6gfCwaDuPfee1FRUaGWbqd6zH6/H3//+991jzv00EMxfPhw3H333TFBtPZzR4wYga+//lq3A8Dq1atjtvKywogRI7Bs2TLdxx566KGkGXqz71kIodt+Dwj3c48fPx6PPvqornx6yZIl+PLLL2Oe02az6b72999/j5dffjnp95HJ8Wh/B2vXrsUbb7yBU045JenXyuXzAcDUqVMBIOb1c++99+r+7nA4cNJJJ+GVV17RbQG5e/duPPXUU/jhD3+IqqqquF/nlFNOQTAYxAMPPKB+LBQKxXydbL9HGewbX/MTJkzAiBEj8Le//Q2tra0xn2e2A0a2HnvsMbS0tKh/f/7557Fz505MmzYNAHDYYYehT58+mD9/Pnw+n/q41157DV999VXSnRaIiAodM/RERJSVqqoqHHvssZg3bx4CgQAGDhyIN954IybbDYTL6d944w1MnjwZF198MQ444ADs3LkTzz33HN5//3306NEDp556Km6++WbMnj0bkyZNwhdffIEnn3xSN0QMAC6++GI8+OCDmDVrFj7//HMMGzYMzz//PD744APcfffdukFaRpMmTULPnj0xc+ZM/OY3v4HNZsPjjz8es5Bgt9vxwAMP4LTTTsP48eMxe/Zs9O/fH19//TXWrVuH119/HQAwZ84c3HnnnZg6dSouvPBC1NXVYf78+TjwwAMTDjnLxEUXXYRLLrkEP/7xj3HiiSdi9erVeP3112N6ko1Gjx6NESNG4Nprr8X27dtRVVWFF154wbRvee7cuZg+fTp++MMfYs6cOdi3bx/uvfdeHHjggbpAbvr06bjzzjtx8skn42c/+xnq6upw//33Y//998eaNWssO57bb78d06ZNw8SJE3HhhReqW7BVV1fH7PGeCqufb8KECfjxj3+Mu+++G/X19eq2dd988w0Afcb7z3/+M5YsWYIf/vCHuOyyy+B0OvHggw/C5/Nh3rx5Cb/OaaedhqOPPhp/+MMf8P3332PMmDF48cUXTecVZPM9jhgxAj169MD8+fNRWVmJ8vJyHHnkkRg+fDgefvhhTJs2DQceeCBmz56NgQMHYvv27XjnnXdQVVWF//znP2n//BKpqanBD3/4Q8yePRu7d+/G3Xffjf333x+//OUvAYQHYf71r3/F7NmzMXnyZJx33nnqtnXDhg3Db3/7W0uPh4ioy8n3WH0iIsqfeNvWlZeXxzxWbjOlleq2ddu2bRNnnnmm6NGjh6iurhZnn3222LFjh+kWa5s3bxYXXHCBqK2tFQDE4MGDxeWXXy58Pp8QIrxt3TXXXCP69+8vSktLxdFHHy2WL19uujXc7t27xezZs0Xv3r2F2+0WY8eOjdlqK54PPvhAHHXUUaK0tFQMGDBA/P73vxevv/56zFZvQgjx/vvvixNPPFFUVlaK8vJycfDBB4t7771X95gnnnhC7LfffsLtdovx48eL119/Pe62dbfffrvuc+UWXc8995zu42a/v1AoJK677jrRu3dvUVZWJqZOnSo2bNiQ0rZ1X375pTjhhBNERUWF6N27t/jlL38pVq9ebbpF2QsvvCAOOOAA4fF4xJgxY8SLL74Y8/0IIcQ///lPMXLkSOHxeMTo0aPFggULTF9LZtI5njfffFMcffTRorS0VFRVVYnTTjtNfPnll0m/htnrNdXnk9/Hnj17dB+Xv5dNmzapH2traxOXX365qKmpERUVFWLGjBli/fr1AoBuizYhhFixYoWYOnWqqKioEGVlZeK4444TH374YdLvRQgh6uvrxS9+8QtRVVUlqqurxS9+8QuxcuVKS39mQgjxyiuviDFjxgin0xnz3CtXrhRnnXWW6NWrl/B4PGLo0KHinHPOEW+99VbSn12888/kyZPFgQceqP5dvn7/9a9/ieuvv1706dNHlJaWiunTp+u2NJSeeeYZccghhwiPxyNqamrEz3/+c7Ft27aUvlciokJmE4ITSIiIqHNcdNFFOOKII3DxxRd39qEQWW7VqlU45JBD8MQTT+DnP/95Zx9OQVm6dCmOO+44PPfcc/jJT37S2YdDRNRlsYeeiIg6zWmnnYYnnniisw+DKGsdHR0xH7v77rtht9t1gxeJiIisxB56IiLKu8WLF2PHjh1YtGiR6XAtokIzb948fP755zjuuOPgdDrx2muv4bXXXsPFF1+ccHI9ERFRNhjQExFR3m3btg1XX301KisrdRO7iQrVpEmTsGTJEtxyyy1obW3FkCFDcNNNN+F///d/O/vQiIioiLGHnoiIiIiIiKgAsYeeiIiIiIiIqAAxoCciIiIiIiIqQOyhT0JRFOzYsQOVlZWw2WydfThERERERERU5IQQaGlpwYABA2C3x8/DM6BPYseOHZxOS0RERERERHm3detWDBo0KO6/M6BPorKyEkD4B1lVVdXJR0NERERERETFrrm5GYMHD1bj0XgY0Cchy+yrqqoY0BMREREREVHeJGv75lA8IiIiIiIiogLEgJ6IiIiIiIioADGgJyIiIiIiIipADOiJiIiIiIiIChADeiIiIiIiIqICxICeiIiIiIiIqAAxoCciIiIiIiIqQAzoiYiIiIiIiAoQA3oiIiIiIiKiAsSAnoiIiIiIiKgAMaAnIiIiIiIiKkAM6ImIiIiIiIgKEAN6IiIiIiIiogLEgJ6IiIiIiIioADGgJyIiIiIiIipADOiJiIiIiIiIClDBBPQPPPAADj74YFRVVaGqqgoTJ07Ea6+9lvBznnvuOYwePRolJSUYO3YsXn311TwdLRF1Nw1tfny1s7mzD4OIiIiIupGCCegHDRqE2267DZ9//jk+++wzHH/88TjjjDOwbt0608d/+OGHOO+883DhhRdi5cqVmDFjBmbMmIG1a9fm+ciJqDu45InPMe2e97B1X3tnHwoRERERdRM2IYTo7IPIVE1NDW6//XZceOGFMf927rnnoq2tDYsWLVI/dtRRR2H8+PGYP39+yl+jubkZ1dXVaGpqQlVVlSXHTUTF55h5b2Prvg48c/FROHK/Xp19OERERERUwFKNQwsmQ68VCoXw9NNPo62tDRMnTjR9zPLly3HCCSfoPjZ16lQsX7484XP7fD40Nzfr/hARJRMKhddGA6GCXSMlIiIiogJTUAH9F198gYqKCng8HlxyySV46aWXMGbMGNPH7tq1C3379tV9rG/fvti1a1fCrzF37lxUV1erfwYPHmzZ8RNR8QoJGdArnXwkRERERNRdFFRAP2rUKKxatQoff/wxLr30UsycORNffvmlpV/j+uuvR1NTk/pn69atlj4/ERUnGcf7GdATERERUZ44O/sA0uF2u7H//vsDACZMmIBPP/0U99xzDx588MGYx/br1w+7d+/WfWz37t3o169fwq/h8Xjg8XisO2gi6haUSIY+yJJ7IiIiIsqTgsrQGymKAp/PZ/pvEydOxFtvvaX72JIlS+L23BMRZSMYycyz5J6IiIiI8qVgMvTXX389pk2bhiFDhqClpQVPPfUUli5ditdffx0AcMEFF2DgwIGYO3cuAODKK6/E5MmTcccdd2D69Ol4+umn8dlnn+Ghhx7qzG+DiIqUEknMs+SeiIiIiPKlYAL6uro6XHDBBdi5cyeqq6tx8MEH4/XXX8eJJ54IANiyZQvs9mjBwaRJk/DUU0/h//7v//A///M/GDlyJF5++WUcdNBBnfUtEFERCykcikdERERE+VUwAf0///nPhP++dOnSmI+dffbZOPvss3N0REREUSH20BMRERFRnhV0Dz0RUVehMENPRERERHnGgJ6IyALBSEDPHnoiIiIiyhcG9EREWZLZeQAIBFlyT0RERET5wYCeiChLsn8eYMk9EREREeUPA3oioiyFtBl6hQE9EREREeUHA3oioiyFWHJPRERERJ2AAT0RUZZYck9EREREnYEBPRFRlnRD8RjQExEREVGeMKAnIsqStuSe29YRERERUb4woCciypK25D4YYg89EREREeUHA3oioiyFWHJPRERERJ2AAT0RUZYY0BMRERFRZ2BAT0SUJe3W836W3BMRERFRnjCgJyLKkr6Hnhl6IiIiIsoPBvRERFliyT0RERERdQYG9EREWdJvW8eSeyIiIiLKDwb0RERZ0mXog8zQExEREVF+MKAnIsqSIlhyT0RERET5x4CeiChL2gx9UGHJPRERERHlBwN6IqIsaYN4P0vuiYiIiChPGNATEWWJJfdERERE1BkY0BMRZYnb1hERERFRZ2BAT0SUJUXbQ89t64iIiIgoTxjQExFlKSS0+9AzQ09ERERE+cGAnogoS0GW3BMRERFRJ2BAT0SUJW3JvSL0PfVERERERLnCgJ6IKEvGAJ5ZeiIiIiLKBwb0RERZ0m5bBzCgJyIiIqL8YEBPRJSlYEyGniX3RERERJR7DOi7kd3NXtz95jeoa/Z29qEQFRWW3BMRERFRZ2BA340s+OB73P3mt3j8o82dfShERcVYcu8PMqAnIiIiotxjQN+N7GzqAADUt/k7+UiIiosxIc8MPRERERHlAwP6bqS+NRzIt/mCnXwkRMVFMZTcG3vqiYiIiIhygQF9N7K31QeAAT2R1YwBPEvuiYiIiCgfGNB3I7LUvsXLgJ7ISiFuW0dEREREnYABfTehKAL7IgF9m58BPZGVjCX33LaOiIiIiPKBAX030dgRULfWamWGnshSxm3rgszQExEREVEeMKDvJuoj/fMA0OoLdeKREBUfY0DvZ0BPRERERHnAgL6b2Nsa3aqOQ/GIrBXbQ8+SeyIiIiLKPQb03UR9WzRD3xEIsSSYyELGDD2H4hERERFRPjCg7ybqNRl6AGjzs+yeyCqxQ/EY0BMRERFR7jGg7yb2anroAaCVZfdElmHJPRERERF1Bgb03cReY4aeAT2RZVhyT0RERESdgQF9N1HPDD1RzjCgJyIiIqLOwIC+m6hv02fouRc9kXWMJff+IAN6IiIiIso9BvTdhMzQO+02ACy5J7KScSheUGEPPRERERHlXsEE9HPnzsXhhx+OyspK9OnTBzNmzMD69esTfs7ChQths9l0f0pKSvJ0xF2L7KEf2LMUANDCgJ7IMsYAPsAMPRERERHlQcEE9O+++y4uv/xyfPTRR1iyZAkCgQBOOukktLW1Jfy8qqoq7Ny5U/2zefPmPB1x1+ENhNSe+aG9ygEwQ09kJW5bR0RERESdwdnZB5Cq//73v7q/L1y4EH369MHnn3+OY489Nu7n2Ww29OvXL9eH16XJ/nm3w47+VeEKBQb0RNaJ6aHntnVERERElAcFk6E3ampqAgDU1NQkfFxrayuGDh2KwYMH44wzzsC6desSPt7n86G5uVn3p9DJ/vleFW5UlITXcFhyT2QdY0KeGXoiIiIiyoeCDOgVRcFVV12Fo48+GgcddFDcx40aNQqPPPIIXnnlFTzxxBNQFAWTJk3Ctm3b4n7O3LlzUV1drf4ZPHhwLr6FvKqP9M/3qnCjwhMO6JmhJ7KOLLmXQyeDDOiJiIiIKA8KMqC//PLLsXbtWjz99NMJHzdx4kRccMEFGD9+PCZPnowXX3wRtbW1ePDBB+N+zvXXX4+mpib1z9atW60+/LzbKzP05R41oOe2dUTWkUPxPM7wKZUl90RERESUDwXTQy9dccUVWLRoEZYtW4ZBgwal9bkulwuHHHIINmzYEPcxHo8HHo8n28PsUuSE+94VHrXkvtUX6sxDIioqSqSHvsTlQJs/xJJ7IiIiIsqLgsnQCyFwxRVX4KWXXsLbb7+N4cOHp/0coVAIX3zxBfr375+DI+y6ZA997wo3yllyT2S5kBIN6AH20BMRERFRfhRMhv7yyy/HU089hVdeeQWVlZXYtWsXAKC6uhqlpeG91S+44AIMHDgQc+fOBQDcfPPNOOqoo7D//vujsbERt99+OzZv3oyLLrqo076PziCn3Id76MMBRysDeiLLhNQMfXiNlAE9EREREeVDwQT0DzzwAABgypQpuo8vWLAAs2bNAgBs2bIFdnu06KChoQG//OUvsWvXLvTs2RMTJkzAhx9+iDFjxuTrsLsEfQ+9CwAz9ERWCoWMGXr20BMRERFR7hVMQC9E8hvkpUuX6v5+11134a677srRERUOOeW+d6UH5ZEMPbetI7KOzNDLoXjM0BMRERFRPhRMDz1lrr5NZujdqGSGnshyCnvoiYiIiKgTMKDvBryBcHBR6naoGfp2f0gd5EVE2ZEZ+lIZ0Af53iIiIiKi3GNA3w3IbKHbYVe3rQOANj+z9ERWiJlyrzBDT0RERES5x4C+G/AHIwG90w6P0wGXwwaAZfdEVpEBvYdT7omIiIgojxjQFzlFEQhGgg2XI/zrlnvRt3oZ0BNZQQ3onSy5JyIiIqL8YUBf5LSlvzIzXyEDemboiSyhcB96IiIiIuoEDOiLnHY/bJmhlwF9my/UKcdEVGxkhl4OxfMzoCciIiKiPGBAX+Rk/zwQHooHaDP0AdS1ePHO+jp12y0iSp9cN5ND8YIhvp+IiIiIKPcY0Bc5WfrrtNtgt4dL7tUeel8If3jhC8xe8Ck++q6+046RqNCFIq0tLLknIiIionxiQF/kZIZeltsDULeua+4I4JNN+wAAe1p9+T84oiIh43c5FI8l90RERESUDwzoi5zMFMqBeABQ4Q4H9F9sb1IH44VYck+UMcXQQ88MPRERERHlAwP6Iiczhe5I5hCIltx/sGGv+rEgA3qijIWEfh969tATERERUT4woC9ycj9stzZDHym5r2uJltkzQ0+UOfn+UYfiKYKDJomIiIgo5xjQFzmZoXc5NT30HkfM45ihJ8qcMaAHgIDCsnsiIiIiyi0G9EUu2kOvDehdMY8LseeXKGMyoPdoFs4CLLsnIiIiohxjQF/k5JR7tyagL2eGnshSitAPxQOAQJCLZERERESUWwzoi1zApOS+MtJDr8UeeqLMyfePy2GHPTKugiX3RERERJRrDOiLnAzotUPxyt2xAT0z9ESZkwG9w25T21tYck9EREREucaAvsj5Q9HMoSS3rQOA2koPAGboibIht61z2KPvNZbcExEREVGuMaAvcmoPfZyS+0OH9ADADD1RNuSCmN1mgytSDRPgoEkiIiIiyrHY2msqKmZT7gf0KMWovpXoV12C/tWlAIAQ+32JMib3nHfa7ep7zRdUcPmTK+B22nHXueM78eiIiIiIqFgxQ1/koj300V+1y2HHf686Bo/OOQLOyAQvZuiJMiffP3ZNyf3m+nYs/mInXlq5HR3+UGceHhEREREVKQb0RU6W3Ls0Q/EAwGYL/90R+XiIA7yIMqaI6FA82d7yze4W9d99QQb0RERERGQ9BvRFzh+K7aHXYoaeKHvqlHubTX1PbahrVf/dxwF5RERERJQDDOiLXCAYO+Vey2EPf5xT7okyI4SAfPtot637tk6ToQ8woCciIiIi6zGgL3JmQ/G0mKEnyo72reOw2+CKVMNs2tumfpwl90RERESUCwzoi1wgScm9IxLQc8o9UWaCmveO3W6DW922Lhrps+SeiIiIiHKBAX2R88UZiicxQ0+UHe1amMNmM62GYYaeiIiIiHKBAX2Ri25b5zD992iGngE9USZCIvrecdhtcJoF9OyhJyIiIqIcYEBf5NQeeicz9ES5oF0Mc2hK7rW8zNATERERUQ4woC9yso/XHW/KfeTj3IeeKDO6gD5eyT0z9ERERESUAwzoi5w/mHjKvYsZeqKsaAN6uz1eDz0DeiIiIiKyHgP6IufnlHuinFIiPfTyveQ0KbnnUDwiIiIiygUG9EUu6T70DmboibIhM/QyoNe2t1SVOAEwQ09EREREucGAvshFA3rzoXgOe6SHngE9UUbUgN4Wfo9pF89G96sCwB56IiIiIsoNBvRFTvbQxxuKxyn3RNkxZuhlQO922jGsdxkAltwTERERUW4woC9yfjnlPmkPPQN6okzIfegjbyV1i8ghNWUodTkAsOSeiIiIiHKDAX2RCySZcs8MPVF2FGOGPtLGMqxXOTwM6ImIiIgohxjQF7lkQ/E45Z4oOyF1yn34PTaybwUA4Kj9auCJVMb4Aiy5JyIiIiLrOTv7ACi3otvWmQ/Fc0aCkGCIGXqiTMj3jlwzO2P8QBy1Xy/0qfTg/nc2AGCGnoiIiIhygwF9kQuoQ/Ecpv/OHnqi7Kj70Nuii2Z9q0oAAB4nS+6JiIiIKHdYcl/k5FA8V7wMvYMBPVE25HvHbo99j3lc4VOslyX3RERERJQDDOiLXKo99ByKR5QZNUNvFtDLHnpm6ImIiIgoBxjQF7lU96Fnhp4oM5E1M9OAvkSdcs8MPRERERFZjwF9kQuoQ/GSZeiZQSTKhHzvaHvopeiUe76/iIiIiMh6DOiLmKIItZQ+/j704Y8zQ0+UGSVBhp5D8YiIiIgolwomoJ87dy4OP/xwVFZWok+fPpgxYwbWr1+f9POee+45jB49GiUlJRg7dixeffXVPBxt1yC3rAMAl8N8KJ4MQgLcto4oI3IfenuiDD1L7omIiIgoBwomoH/33Xdx+eWX46OPPsKSJUsQCARw0kknoa2tLe7nfPjhhzjvvPNw4YUXYuXKlZgxYwZmzJiBtWvX5vHIO09AF9Czh54oF5TIe8dpsmgmp9wzQ09EREREuVAw+9D/97//1f194cKF6NOnDz7//HMce+yxpp9zzz334OSTT8bvfvc7AMAtt9yCJUuW4L777sP8+fNzfsydTZt1jzcUjz30RNmRbS3mGfpIyT176ImIiIgoBwomQ2/U1NQEAKipqYn7mOXLl+OEE07QfWzq1KlYvnx53M/x+Xxobm7W/SlUMkPvtNtM98gGuA89UbbkeyfxtnUsuSciIiIi6xVkQK8oCq666iocffTROOigg+I+bteuXejbt6/uY3379sWuXbvifs7cuXNRXV2t/hk8eLBlx51vcsu6eOX2APehJ8qWug99ogw9S+6JiIiIKAcKMqC//PLLsXbtWjz99NOWP/f111+PpqYm9c/WrVst/xr5IofixRuIB0Sn3AsR7QUmotTJDL3d5GzKHnoiIiIiyqWC6aGXrrjiCixatAjLli3DoEGDEj62X79+2L17t+5ju3fvRr9+/eJ+jsfjgcfjseRYO1t0D3pH3Mdoy4SDioA7Tmk+EZmTGXqnSUQvS+5DikAwpMCZoFqGiIiIiChdBXN3KYTAFVdcgZdeeglvv/02hg8fnvRzJk6ciLfeekv3sSVLlmDixIm5OswuJRAMBxruhBn66L+xj54ofcGQzNDHL7kHAC+z9ERERERksYLJ0F9++eV46qmn8Morr6CyslLtg6+urkZpaSkA4IILLsDAgQMxd+5cAMCVV16JyZMn44477sD06dPx9NNP47PPPsNDDz3Uad9HPvlD4UFcLmfyHnpATrqPn80nolghtYc+9t88mveeLxBChadgTrlEREREVAAKJkP/wAMPoKmpCVOmTEH//v3VP88884z6mC1btmDnzp3q3ydNmoSnnnoKDz30EMaNG4fnn38eL7/8csJBesXEH8nQJxqKxww9UXaUBFPu7XabumUk++iJiIiIyGoFky4SInmwuXTp0piPnX322Tj77LNzcERdn9pDn8KUe4CT7okyoWbo48yf8Djt8IcUBvREREREZLmCydBT+mRAn6jk3mazqYEIM/RE6Uu0Dz2gnXTPveiJiIiIyFoM6IuY3Ic+0VA8gHvRE2VD3bbOZB96QLMXfYAZeiIiIiKyFgP6Ihbdhz7xr1n20YdCDOiJ0pU0Q+9kDz0RERER5QYD+iIWiATo7gQl94A2Q8+Agyhdijrl3jygdztZck9EREREucGAvogF0s3Qs+SeKG2Rt1mCHnqW3BMRERFRbjCgL2LRHvpkGfrwv7OHnih9oUhlC0vuiYiIiCjfGNAXsWiGPvFQPGboiTInM/T2pAE9S+6JiIiIyFoM6IuYHIqXeg89A3qidIWS9NDLKfdeltwTERERkcUY0BexQDAcaCTtoXfIDD0DDqJ0KUmm3JdwH3oiIiIiyhEG9EXMHwoHEMkCejVDz23riNKmZujjltxHhuKxh56IiIiILMaAvoilum0de+iJMpd0H3qZoWfJPRERERFZjAF9EeOUe6LckwG9PW4PPUvuiYiIiCg3GNAXMe5DT5R70Qy9+b+z5J6IiIiIcoUBfRGTGXqXM/G2dZxyT5Q5Re2hNz+dMkNPRERERLnCgL6IyQx9spL7aIaeGUSidMmFsLjb1rGHnoiIiIhyhAF9EUt1KB4z9ESZU1hyT0RERESdhAF9EfOn2kPvYA89UabUoXhxt61jyT0RERER5QYD+iKm9tCnOuWe+9ATpU3dhz7plHtm6ImIiIjIWgzoi1h0yn3ioXicck+UOSXpPvSRknv20BMRERGRxRjQFzEZ0HvYQ0+UM8EkAX1J5P3nZck9EREREVmMAX0R80dK6FPfh54ZRKJ0RbetY4aeiIiIiPKLAX0RS72Hnhl6okypQ/GS9tAzQ09ERERE1mJAX8QCqU65Zw89UcYibzP1fWTEoXhERERElCsM6IuYDOiT70MfmXLPgJ4obbJVJf62ddyHnoiIiIhygwF9EQtEAgg3M/REOSN3e4y7bZ0rkqEPsOSeiIiIiKzl7OwDoOyFFIEHl22EL6Dg0ikjUBIZwuWXJffOxNvWOSLb2nEfeqL0Jd22jiX3RERERJQjDOiLgN0GzPvvegDA+UcNjQb0KQ7F45R7osypQ/FSKLkXQsAWJ5NPRERERJQultwXAZvNZjpJOxDJuCcrueeUe6LMhSLb1sUdiueKvv9k1QwRERERkRUY0BcJs7LeVIfisYeeKHOpblsHsOyeiIiIiKzFgL5IeCJl9r5AOGBQFKFm3JPvQ88p90SZCiXpoXc77JCxvnx/EhERERFZgQF9kShx6UvutaW9Lkfinl1m6IkypwgZ0Jv/e7yWGCIiIiKibDGgLxLGva4DmoA++T70soee2UOidCUruQei708vM/REREREZCEG9EXC2EMf0GxB57In/jXLDD4z9ETpk+8bZ4L3GTP0RERERJQLDOiLhBowBCIl95HA3mm3xd1OS1J76LkPPVHaotvWxX+Mx8W96ImIiIjIegzoi0S8kvtkA/EA9tATZUNuW+dIoeSeQ/GIiIioswgh8O43e1DX7O3sQyELMaAvEjID6A3oh+Il658HuA89Za6hzY9dTd37oqAkmXIPsOSeiIiIOt+KLY2Y+cgnuO6FNZ19KGQhBvRFIraHPo0MPXvoKUMz/v4BTrzzXbT5gp19KJ1GzdCnFNAzQ09ERESdY3ckM7+zmydjig0D+iJhLLmXPfTuJFvWAZxyT5nbsq8dLb5gt74whEKpBPT69ycRERFRvslKQVnRS8WBAX2RMJb0qhn6FEru2UNPmVAUgUhyGo3t/s49mE4kM/QJt61z6YdWEhEREeWbnOXTwfuRosKAvkhEAwaZoQ8HGe4USu7VKfcM6CkN2tdLY3ugE4+kc0XWzlhyT0RERF2avA/p8DOgLyYM6ItETMk9p9xTjmlfL40d3TegV1LqoWfJPREREXWuaMk970eKCQP6IlHiMpTcB1MvuVd76FPYh379rhbc+9a3aPd33yFoFKadudCdS+6DkcWzRAF9qSsc0HfwfUNERESdRAby/pDCRF4RcXb2AZA14u1Dn8pQvHQy9Df9ex2Wf1ePgT1LcdahgzI9XCoCIZbcAwDkjyHRPvQVJeFTbUs33g2AiIiIOpd2+1xvIIRyD0PBYsAMfZFQe3QD6Zfcpzrl3h9UsGJLAwBge0NHxsdKxUHXQ9/RfTP0oRT2oa+IXDBbvQzoiYiIqHP4NKX2HIxXPBjQFwnjlHu5HUVJpNQ3kVT3oV+3o0mtAKhr8WV8rFQcFM3rpaEbZ+jVKfcJAvpKmaFnQE9ERESdRDvLh4PxikdBBfTLli3DaaedhgEDBsBms+Hll19O+PilS5fCZrPF/Nm1a1d+DjiPPC59yb3skSlNIaBPdcr955sb1P+va+m++45TmPb10tSNA3q5sOFMENBXlbgAAC3e7vtzIiIios5lLLmn4lBQAX1bWxvGjRuH+++/P63PW79+PXbu3Kn+6dOnT46OsPPIDL18c8r/yu3sEkm1h/6z77UBPTP03V2IJfcAogsbifahlz30reyhJyIiok6iy9AzoC8aGU1CCAQC2LVrF9rb21FbW4uamhqrj8vUtGnTMG3atLQ/r0+fPujRo4f1B9SFGIfiyTdpahl62UMfP6AXQuAzbYa+mQF9d6d9vTS0dc/Ms7btIFEPPUvuiYiIqLNpe+i5dV3xSDlD39LSggceeACTJ09GVVUVhg0bhgMOOAC1tbUYOnQofvnLX+LTTz/N5bFmbPz48ejfvz9OPPFEfPDBBwkf6/P50NzcrPtTCKI99PqS+5R66FPI0G/Z1469rdEgfk+LD0Jwu4vuLKQZotjUTfehD2neA4mm3FeqJfcM6ImIiKhzeDUl98zQF4+UAvo777wTw4YNw4IFC3DCCSfg5ZdfxqpVq/DNN99g+fLluPHGGxEMBnHSSSfh5JNPxrfffpvr405J//79MX/+fLzwwgt44YUXMHjwYEyZMgUrVqyI+zlz585FdXW1+mfw4MF5POLMydJ6X8A4FM+aKfey3P7AAVUAwlP0u2sQR2HaDH2rL6huldidaBfB7AneanLKPXvoiYiIqLPoptxzKF7RSKnk/tNPP8WyZctw4IEHmv77EUccgTlz5mD+/PlYsGAB3nvvPYwcOdLSA83EqFGjMGrUKPXvkyZNwsaNG3HXXXfh8ccfN/2c66+/HldffbX69+bm5oII6mXJvV/N0Kdecu+MRCKhUPyMuyy3P3r/3ti6rx3N3iDqWnzoUebO6ripcAUNr5fG9gBqKz2ddDSdQxvQOxNE9FWaHnohBGwJsvlEREREucCheMUppYD+X//6V0pP5vF4cMkll2R1QLl2xBFH4P3334/77x6PBx5P4QUlsSX3qW9bl0oP/eeb9wEAJgztibe/rkOztxV1zT78oG9lVsdNhUsxtFw0dfi7X0AvUszQRwJ6RQDt/hDKPRmNLyEiIiLKGIfiFaesptwHAgGsW7cOa9asgc9XGEPSVq1ahf79+3f2YViuRN22Lvzm7FCn3Ge/D/2eFh++2d0KIBzQ94kEbdy6rnszLgA1dsOt63RD8RJk3UtdDnXhjH30RERE1Bm0AT0z9MUj4zTRe++9h5/+9KcIBAIIBoNwOp147LHHcPLJJ1t5fDqtra3YsGGD+vdNmzZh1apVqKmpwZAhQ3D99ddj+/bteOyxxwAAd999N4YPH44DDzwQXq8XDz/8MN5++2288cYbOTvGzqJm6AOZ7EOfOEP/n9U7AADjB/dA7wqPJqAvjEUcyg3jAlBDNwzoQylOubfZbKgscaKxPYAWbwD9qkvycXhEREREKh+H4hWllAN6RVFg19SUXnXVVXjyyScxZcoUAMBDDz2ESy+9FJs2bbL8IKXPPvsMxx13nPp32es+c+ZMLFy4EDt37sSWLVvUf/f7/bjmmmuwfft2lJWV4eCDD8abb76pe45ioQ7Fiym5z34f+pdXbQcAnHnIQABAn6pwMMKt67q32B767rcXvSy5t9mQtC++whMJ6LkXPREREXUC3bZ1HIpXNFIO6I888kg8+OCDOPTQQwGEg+UhQ4ao/z5kyBB4vbktwZ4yZUrCrdIWLlyo+/vvf/97/P73v8/pMXUV6lC8kAJFEWkNxUs05X7jnlas2dYEh92GUw8Otyqw5J6A2AWg7rjrgfwZOBNk56Xw1nUdLLknIiKiTqEts2eGvnikHNDfd999uOiiizB58mT8+c9/xo033ogJEyZg1KhRCAQC+Prrr3Hvvffm8lgpAVlyD4SD+vT2oY9MuTfJ0L+yMpydP3Zkb/SqCAfytSy5J8QuADV0xwx95D1jT2FqfWUJt64jIiKizsOheMUprQz9p59+innz5mHChAmYN28e1q9fj48//hihUAiHH344Bg4cmMtjpQS0Ab03EFLfpOntQ68P6IUQeClSbj/jkOjvtm+k5H4PA/puzbgA1D2H4oX/m6h/XqqMTLZvZYaeiIiI8kwIoQ/o/bGVuVSY0hqK53A4cP311+Occ87BJZdcgkcffRT33nsvBgwYkKvjoxQ5HXY47DaElPCbNZ1t62S5sBDhqd32yN9XbGnA1n0dKHc7cNKYfurj1ZL7Zpbcd2cxAX13LLmPtAAlmnAvRTP0DOiJiIgov/whfQDvDTJDXyzS2rZu3bp1eOGFFxAKhbBkyRKcfvrpOOaYY/D3v/89V8dHadBOuk9rH3pHNBjRZumXfbMXAPCjA/qi1B19HjkUr80fQhsHfHVbsRn67ltyr30PxRPuoQeH4hEREVHeabPzAIfiFZOUA/o777wThx9+OG6//XZMnDgR//jHPzBz5kx8/PHH+OijjzBx4kR88cUXuTxWSkIN6IOhNHvoo8GINkhrjvT6DupZqnt8hceJskiAzz767ov70GsC+hQy9BXsoSciIqJOop1wD7CHvpikHNDPmzcPixcvxkcffYQVK1bgzjvvBAD07t0bjz32GG6++Wacc845OTtQSk5Oum/3h9SymnSm3AP6QWcy+17uie3MYNk9yWBW9oZ354DentKUe5bcExERUefwGUrsGdAXj5QDeiGEug+9w+GI2T7uxBNPxMqVK609OkqL3Iu+WZMBTG0f+uhjtBn6Nl/4jV7ujl0U6FMZ2YueGfpuS2boe1W4AXTPknslnR56DsUjIiKiTuI1ZuhZcl80Ug7of/e73+GUU07BpEmTMH78eFx99dUxjykpKbH04Cg9JZEMvTZTKj+WiDa5qC2jbk2Qoa+t4tZ13V0oUs0htzNs84fgD3avialqyX3K+9ADLb7uV8lAREREncuYoTf21FPhSnnK/bXXXoupU6fi66+/xtixYzF69OhcHhdlQGbomyLTxt1Oe0qlwDabDU67DUFFIBiKBvTt/hRK7ltYct9dycWfnmUu2GzhXRKaOgKojbw2uoNgWgE9S+6JiIiocxgDeGboi0da29aNHTsWY8eOzdWxUJbkUDwZ0Jc4U9/EwCEDek0PfassuTcN6CN70TczQ99dKZFg1uWwo7rUhcb2ABrb/d0qoFdL7lMI6CtYck9ERNTt3Pba1+hd4cZFx+zXqcchh+LZbYAi2ENfTFKK+G677Ta0t7en9IQff/wxFi9enNVBUWbkUDwZ0Jea9L7HIyfd63vow4FHhcesh54l992dNjvdozRcTt7d9qJXh+Ilj+fVkvtmBvRERETdwq4mL+a/uxHz/ru+sw9FLbnvURaefcSAvnikFNB/+eWXGDp0KC677DK89tpr2LNnj/pvwWAQa9aswd///ndMmjQJ5557LiorK3N2wBSfmqGP9NCnsmWdJDOM2h56WXJf5jbpoY8E9HsY0HdbMph12m2oLpOD8XIb0Ash8O/VO7ChriWnXydVSgYl963soSciIuoW5DXfH1JiBornmyy5l0kYf1DRJfKocKUU0D/22GN48803EQgE8LOf/Qz9+vWD2+1GZWUlPB4PDjnkEDzyyCO44IIL8PXXX+PYY4/N9XGTCdlD39gRnjaeykA8yekIf27IZChehUnJfc9IANfUzTKyFBXN0NvRsyx8cWjI8aT7L7Y34Tf/WonrXvgip18nVSER/RkkIwN6b0BBIMRBNEREVvMHFXy4cW/M8C+iziJ3jAKAQKhzg2dvJCNfFQnotR+jwpZyD/24cePwj3/8Aw8++CDWrFmDzZs3o6OjA71798b48ePRu3fvXB4npcBjmHJfkkbJvZqhj5xsgiFF3d7CrIe+R5ksse5+W5VRmDZDL1d7m3Kcoa9vC7/e6lu7RmVIdFEj+WO1C2Mt3iBqyt25Oiwiom7pseXf48+Lv8K1J/0AVxw/srMPhwjtmsFzQUWBO/UNxiwnM/TVhoDe7D6fCkvav0G73Y7x48dj/PjxOTgcykY2Q/GMPfTtmhW7MpOFAbm65w0o8AZCaZX3U3GQiz8Ohw093OHgNNcZerktnnEv1c6iltynsA+902FHqcuBjkAIrQzoiYgs99F3+wAA2xs7OvlIiMJk+yrQ+Rl6GdCXuR3wOO3wBRX20ReJzlsmIssZA/p0huJFe+jDb3Y5EM9pt6nPq1XpcaqDwJpZdt8tyX3onXabuqCT60Bblqp7u0g5pVxgcKe4eCbL7pu9fM8QEVntyx1NALrOoi9RmzZD38ntdr5I8O5x2tUYgSX3xYEBfRHxuPRT7tPqoTdk6GVAX+5xwmaSfbTbbWrJTnebbE5hsn/cbrPB5dAvCOVKNEPfNS5AcmEh1QqV6GA8TronIrJSfasPO5q8ALrONYKoQ5OhD3byADqZofc4HSiN3Ld0+Ln4VQwY0BcRmUmX/TolrvT2oQeiJxs5xKM8QZa/R54mm1PXFNT00DsjQ+FyXU4mM/S+YOdPiwWiWSBPiotnFZGt61q4dR0RkaXW7WhW/58BPXUV+qF4nZyhlwG9yx4N6PleKQoM6IuIMUuY3j70+in32gx9PLKPvjHHfdPUNYU0PfROmaHP8cVKZuiFCG8B09nkTWOqi2dVkQx9C0vuiYgstTZSbg/kruS+vtWHm/69Dl9qFg+IEtEGzMFO76GPltx7XCy5LyZZBfTbtm3Dtm3brDoWypKx1z3VrCEQm6FvTSGgVyebm5Tcv7FuF5ZvrE/561Ph0Wbo3ZEx77kuJ5Ory0DX6JGUx8CSeyKizqXL0Odozsq/V+/Awg+/x0PLNubk+QvVO1/XYcmXuzv7MLqkNp+25L6ze+i1Jffh+zZm6ItD2gG9oii4+eabUV1djaFDh2Lo0KHo0aMHbrnlFiid/ELt7owBfTqT52WGVQ46k2X7ZnvQS3LrOmNA39Dmx6VPrsAv/vkxtu5rT/kYqLCENPvQy9dPrsvJtCX9vi5wEUo3Qy/fTyy5JyKy1rrt+cjQhysS97HVUBUIKbjkic9x+ZMrmO01od22LldtiR99V49Ne9uSPk6boedQvOKSdkD/v//7v7jvvvtw2223YeXKlVi5ciVuvfVW3HvvvbjhhhtycYyUImNGvjSNgN64D73MIJptWSf1UEvu9Re2Zm8AIUUgqAjc/ea3KR8DFRZdD73M0Oe4nMyvydBrs/WdRR2Kl2I1TGWkh55T7omIsre9sQNNHQE0ewP4vj6aQMjVgm9jRzigZ9tUlDcQgi+owB9S0OFncGik3bYuF/dIG+pacd4/PsLFj32W9LE+TVVhdCgef2fFIO196B999FE8/PDDOP3009WPHXzwwRg4cCAuu+wy/OUvf7H0ACl1HpcxQ5/5PvSyRChRhj465V7fQ6/N0r60chsunbIf9u9TmfKxUGGQ1RwOuw0ue36m3GtfW11hVdmXZsm9fD+1MkNPRJSVxnY/jvvbUlR4nLhsygjdv+Xq+tDUET538xwepV1o7+yhb12Rdtu6QA7ukZZv3AshgC0pVMRqh+KVcCheUUk7Q79v3z6MHj065uOjR4/Gvn37LDkoyoyx5D6zfegjAX3kBJSoh746MuVeXuAkfzC6AqkI4K4lzNIXI3nddmgy9Lmecu8PdbUe+vRK7itLWHJPRGSFbQ0d8AcV7Gvz48+LvwIADOtVBgDw5qiCSw4B5jk8Snvd7wrDaruaDn9uh+J9trkBQDhYT7aQpS25L1GH4vF3VgzSDujHjRuH++67L+bj9913H8aNG2fJQVFmjCX36e1Dbz7lvsyTSsm9eYbe47TDZgMWf7ETK7c0pHwsVBhkht5pz/8+9EDuhh6lIxrQp/Zek1s9NnBnCCKirLSblApPGFoDIJcZ+nCpPUvuo7RZ+Vwv6hci3VC8HCx4fPZ99P462TbSpvvQM0NfFNIuuZ83bx6mT5+ON998ExMnTgQALF++HFu3bsWrr75q+QFS6mKm3Ge1D32k5N6d/lA8eXLvX12CQ4f2xIsrtuO3z6zC4t8ckzDjT4UlqA7F0+xDH8xfht7XBVaV1X3oUwzoe5WHA/p9bQzoiYiy0RbpTR7ZpwI/6FeJJV/uxqkH98cLK7bBGwhBCAGbzWbp15QBU5s/hJAi1Hun7kw7zybXW9cWIm3AHLB4J6BdTV5sb+xQ/97Q7ke/6pK4j49OuedQvGKTdoZ+8uTJ+Oabb3DmmWeisbERjY2NOOuss7B+/Xocc8wxuThGSpExgE9nKF60hz78Zk+p5D7OUDwZdLkcdtx46oEYUF2C7+vbcdO/16V8PNT1hXRD8SJT7vOZoe8CFyF5oS5xpnYqrWFAT0RkiXZf+Pzbs9yN+392KNbeNBWHDu0JINzul4tssTaBwT76MG2GniX3sXKZof9ss77VOVmGXlY26nroORSvKGSULh0wYACH33VBMSX3mUy5N2ToyxOV3MfN0Iefw+Wwo7rMhTvPHY/z/vERnvt8GyaPqsWpBw9I+bjIGnXNXvzrk60474jB6FMVf/U2HUHNtnVqyX2Oy+10Q/HyVHIvf3Y/PWIw+hp+dumW3MuAvr7Nn5PsERFRdyEz9OWRTKPbaYdA9BrkDYbgTnGxNRUhReh2KGn2BlAduQ/qzvRD8Vhyb5TLbeu05fYA0NSROFmgDvJlyX3RyfhM197ejq+//hpr1qzR/aHOY80+9Ppt6xJn6MPBidymTgpETu6uyPEctV8vdQLtfW9vSPmYjLyBEF5ZtR0NzG6m7YmPNuOuN7/Bgg+/t+w5dRl6WXKf49V5fYY+P5mAJz7egrve/AaPL98c829y8FKq77VeFeH3jD+o6CbfEhFRetrVWT/R+xS3Izy7B7C+iqvFG4AQ2r8zQw8Ye+iZoTfSBvRWzxn6PDIQT1bZNiTtoY9m6EsjVb0M6ItDSgF9fX29+v979uzBqaeeisrKShx44IE45JBDdH+o8xiDivT2odfvIy73zUyl5F4I/YAYeUJ3O6LZxzlHDwcAfL2rBXtbfSkfl9bzn2/DlU+vwv3vZL4o0F01R248dmp6rbKl66F36Cs8ckV7s+DLU4a+OVKBYjbIzpfmlPsyt1N9X9Zn+D4gIqJoa2CZ5l7HZrOpA4GtnrNiLGfmYLwwPwP6hHK1D32bL4gvdzYDAI7cLzwMMp2heDJm8DGgLwop3YXOmDEDc+bMAQBcddVVaGxsxMcff4zS0lL897//xaOPPoqRI0fi3//+d04PlhKLzdBnsw99pIc+wVA8t9OOskipm/Ykou2hl3pVeHBA/yoAwPKN9cjEnpZwAJTpgkB3Ji+ye1utq25QNAG92yEXhHJ7Mfd1QoZevp7NVrHTLbkH9GX3RESUmXiJB3nvY3WG3the2Opjhh5gyX0i/qCi+5lYueCxamsjQorAgOoSHNAvfH/dmKzkXg3oo0PxmKEvDilFfP/85z/x6aefAgDefvtt3HnnnTjssMNgt9sxdOhQnH/++Zg3bx7mzp2b04OlxKzsoW9NoYceiG5dp73QaXvotSaN6AUA+HDj3pSPS0ueiHw52l+2mEUDeusWQ2TpWD73odf10OfpIiRvVsy+nlfTj5YqWXa/z8LFFSKi7kYmHmRiQcrV/tqNHcYMPQN6QH/dDxTI/ZmS42pCyThwzsoqxhWRcvvDhtWoM60a25Jk6ANyH3oHh+IVmZQC+rPOOgu33XYbAKCtrQ19+vQBAPTs2RN79uwBAIwdOxYrVqzI0WFSKoxT7tPqoTdOuZfb1iXZZq46sq92Y0dsyb0xoD96fxnQZ5ah9zOgz5i84FoZ0Ot76PO/D32+Xgfya5pd9ORgvnSqYTjpnogoe/Ez9JGA3uK2rEZD2xVL7sP0Gfquf3921dMrcezt7+hK4XOlPaD/GlZWMe5o8gIA9qst19yLp5ihd9k1Q/G6/u+MkkvpLrSqqgr/+Mc/AACjRo3C+vXrAQDjxo3Dgw8+iO3bt2P+/Pno379/7o6UknI7Mi+512boFUWoQzzKEpTcA9EMvfZCp/bQO/UTvA8fVgOH3YbN9e3Y1tCe8rFJsme6K2xXVmhk2fi+Nr9ugGE2tD30Lod+BkOu6Pehz2+GniX3RERdR/Q+RX/+le2HVt8rNBsy9M3M0AMwDMXLU+Y7G+9+swfbGjrw3Z62nH8tWUUiWVnFKO+7e5a50bPMfBtprWBIUe/bSpwO7kNfZFLatu7999/HV199BQC48sorsXPnTgDAjTfeiJNPPhlPPvkk3G43Fi5cmLMDpeTskV5mGfSkE2TIgCykCLRr3txJM/QmJfcyADJm6CtLXBg3qBortjTiww31OOfwspSPD2DJfTZkGZwiwkF9baUn6+dUM/QOzT70OV6dDwQ1WxLlK6APmWfohRBqSaexOiaRXmqGnrMgiIgyJQN646yfnJXcxwzFY0APGIbiFcD9mXxd5KOawFgFYGUVoxzU26PMhR6RXacSBfTae2dthp4BfXFIKaC32+048MADAQDnn3+++vEJEyZg8+bN+PrrrzFkyBD07t07N0dJKfM4wwG9U5M1TYU2Qy/L7e225Fl+dS/69uQ99ABw9P69wwH9xr045/DBKR8foA3oefJJl/bCtbfVZ0lAL7PxDrsdLrlLQo5X5/26Hvo8l9wbLnrai2M6i2e9KsI/e2boiYgy16ZuW2fsoc9Nhj62h54l90BhldwLIdR7yFzfrwD6LesAqzP04ddfzzJ3tIc+Qcm99p7F7bCr7xMOxSsOGe9DL5WVleHQQw9lMN9FyExhOgEGoJ9y36bZg95msyX6NFSrJxGTbeucsS+viZHBeB9srIcQ6Z3Y/JGTsNVb0XQH2ouIVX30uh76PGXo9T30nVtyr30dpjMUTy2551A8IqKMJc/QW91DH77P6R1ZlGWGPqyQSu6DioA8xHxUE8Rk6C0M6Bs0Jfc9Uii5l/dMbocddruNQ/GKTNoB/Y9//GP89a9/jfn4vHnzcPbZZ1tyUJQ5Oek+3YBezdCHREpb1klmZT7RfehjX16HDukJl8OGPS0+bE9zT/TuXHL/yaZ9uiqIdGkDYcsCehG7D30gJNJeqElHZ2TofWrJvf7ryYFLdhvgciRe+NLqxaF4RERZa4sESzFT7p1yKJ611wjZWji4phQAM/SSLkPfxe/PtIs8/ryU3Bun3FvzNYUQaIjcE/Yoc6FHZCieL6jEDdBlEkLOmJAl976gkrep/5Q7aQf0y5YtwymnnBLz8WnTpuE///kPZs6ciZ49e+KKK66w5AApPfKNms5APEA/5T7VLesAbQ99NDiJ7kMfG+SUuByoLAl/jvFEl4w8GXW3kvsXV2zDOQ8ux23//Srh4/xBJe6wQe2Fy6rMcEg7FM9uj/l4LmhvHKyeYJzsaxqzPdqBeMkqWbQ45Z6IKHvtMvkQZx96qwenyvucQT3D83+4D32YLkPfxUvufbr2gDyU3OdoKF5HIKTem/Qsd6Pc7VDv4+OV3Wsn3ANQh+IB+bufotxJO6BvbW2F2+2O+bjL5YLf78dll12Gf//733jkkUcsOUBKj9uZWcm9Q9MDLUuEkg3EAzQ99NqS+2D8HnoguuiQbum8DOS7W4b+seWbAQCb6xPvDHDtc6vxw7++g693Ncf8m/Yiu8eiDL1+H3qb5uO5u0h2zj704a/T7g/qqg/UPejTfK/1Kpc99ByKR0SUqbgZ+hyX3A/uKTP0DOgBwK/dh76gAvrOKLm35mvK7LzLYUO5O5xUkFn6eGX38h5areTVtAqy7L7wpR3Qjx07Fs8880zMx59++mkccsghOPLII9GnTx9MmjTJkgOk9MgLWWm6PfSOaA+9XHVOtmUdoN22Lvk+9JIa0Ke5IiizzN2ph379rhas2toIIPngku/2tob/a7IVi24oXotFGfpQtIde+7vO5UWyM/ahlyvqijCW/Ecy9CazIhKpqXBHPl/Jyz64RETFRojo9rpx96G3esp9JHEhM/QM6MP8ec56Z0NbtZGPgL4tpuTemp9Pozrh3q1WCMoEW0O7+T2ecVceu92mJgGtbk+h/Etpyr3WDTfcgLPOOgsbN27E8ccfDwB466238K9//QvPPfccgPBe9W+++aa1R0opybTkXj/l3vwiaSbdoXjhY4v27aRDW3IvhEirzLlQPfPpVvX/k62gysoIs1aGXAzFM9uHHsjdXvSKInQXw3xPuQcAr19RV7cz2YMeAMrdDriddviDCupb/SirSfs0TETUrfmCitreFbMPfQ6m3AshYnrom9lDD6CwSu619w15Kbk3LNpb9fOJTrh3qR+TCbZ485aMGXognPzzJ+i7p8KRdob+tNNOw8svv4wNGzbgsssuwzXXXINt27bhzTffxIwZM3JwiJQOjyuzoXjaKffRkvs0eujbA2o5cqIeeiC66JDuxVYuACgiP9uNdDZfMIQXV25T/57s5yUvFGaZ/JwMxVOn3NvhsNsg11cCFu6zqmUcYGN1f2QqX1f7s/Wq/WjpvddsNht6s4+eiChj2oVrYzVhdCieddcIb0BRr6PaHnoOEyusbeu0laH5KbkPfz15f2RVwqNBk6GX1JL7jjgBvWEoHgDuRV9EMkoNTZ8+HdOnT7f6WMgCnox76KMZerXkPqUe+vAJxB9S4A0oKHU7Eu5DHz7GDDP0mhOxNxCK+/zFYsmXu9HYHoDDbkNIEUlL7mXg6TXN0Fsf0Gsz9ADgstvhDyk5y9AbL77566GPE9CrGfr0X4c1FW7saPKyj56IKANye90Sl129Bkm5KLmXg8acdhv6V5cAAIQI9/HLQb/dlT5D37UXOPLeQx+peK3wONHiDVqW8Ggwy9AnKblXh+JpAnruRV88ijsi6oYyDei1U+7lhTKVoXhmkzXltiVxA3pXhj30ndA/3Zk+3FgPADhuVC2A5CX3MpA2L7nXT7m3IqugaPahB6JzGHIV0PsNv/N8vQZ0Ab3fJKBPYw96qUYOxuNe9EREaYu3Bz0QDVKsXPRt1GwR5nHa1QpE9tHrq9i6eoZet21dPvahj3w9Wc1q1f1RY1t0D3op5ZJ7TXyQqwGSlH9pB/ShUAh/+9vfcMQRR6Bfv36oqanR/aHOJbPfpWn30Eem3IeEOsQjlX3ow5M19YPxEu1Drz3G9Kfcd6+AXvbrjaitAJB8BTVRyb121TyoCN2uBJkyZuhlYJ+vkvt8XICEEIaS++jNm0+dcp/+uij3oiciypw64d6kNTAXGXp5zawqdcFms6lZeQb0hVZyn+9t68KvDzWgtzhDry2571mebMp9bIbek6MBkpR/ad+J/ulPf8Kdd96Jc889F01NTbj66qtx1llnwW6346abbsrBIUYtW7YMp512GgYMGACbzYaXX3456ecsXboUhx56KDweD/bff38sXLgwp8fY2WT2O5se+rY09qEHwhc4IHrBU3vonXF66NUMfRYBfTdYTWyO/Dz7VIXL+wIhkfBiKX/uHSaT043BsBVl9yFjyX1kASdXF3Q59E/Kx1RW48+tw68ZkBfMbCgewL3oiYiyoe5BnyBDn24VYCJqhj5yv1NZEv66rT4OxmPJfXyykqQqsgBk1c9HTrnXltzLRYO4Jfcmg3xLMpxpRV1P2gH9k08+iX/84x+45ppr4HQ6cd555+Hhhx/GH//4R3z00Ue5OEZVW1sbxo0bh/vvvz+lx2/atAnTp0/Hcccdh1WrVuGqq67CRRddhNdffz2nx9mZ5ICLUnfmPfTRgD61EQvGoRr+ZCX3GZxAgqHoRFuge2To5cp/n0qP+rFEP7N4GXohogsBVZGbECv2opcrzXkruQ/ph8uElMQLHJZ8TcPrzLyHPvOAvp4BPRFR2uLtQQ9ohuJZEKR4AyEEQgqaOvRDyGRLYjMz9Logtatn6LWviXzuQx8tubcqQ29Scm+y65SW17SHniX3xSLtoXi7du3C2LFjAQAVFRVoamoCAJx66qm44YYbrD06g2nTpmHatGkpP37+/PkYPnw47rjjDgDAAQccgPfffx933XUXpk6dmqvD7FQ/PnQQtuxrx1mHDErr87T70MsgJtWAXm5PJz8v+T706Q/Fi5lw3g0CerklTu8KD2y28ACejkAo7gAeeVHtMJROhRSByAYEGNCjFM27WrA3y95tRRGQ6yvRkvvcZuj9kQy9HC4DhF8HuRyOmDigZ8k9EVFnkIGS2X2KVSX3u5u9OO5vSzFpRC8cPizcUmrM0LPkniX3icgW1qrS8OvFqh2aGjQzHSQZ3MftoQ/EbimtzpvoBvfUxS7tO9FBgwZh586dAIARI0bgjTfeAAB8+umn8Hg8iT4175YvX44TTjhB97GpU6di+fLlcT/H5/OhublZ96eQjBlQhX9ccBhG9atM6/OiGXpFXfkuTzHLL1f7fGpAHz5hxe+hT78czthv3z1K7qMru2oVhN/8pBtShFrBYCy511605HTevS3ZZehDIvqcMpCXQ4JytaWgXNSp1NzA5XpVOaZv32QonieDoXi9KiJD8RjQExGlrS1Scm+WobdqH/pVWxvR7g/hza/q8EFkSG2VGtDLHnqW3PsLqeQ+zxl6OUhXZuit24c+kqEvj2bok5Xcy4REmclQvO5wT13s0g7ozzzzTLz11lsAgF//+te44YYbMHLkSFxwwQWYM2eO5QeYjV27dqFv3766j/Xt2xfNzc3o6Ogw/Zy5c+eiurpa/TN48OB8HGqnk2XTKzY34ssd4UWM1DP0+ox7sgx99ASS+onNmJHvDhl6eaNQVepUA/r2gHk2IKAb3KY/MWsvtv17lALIvode2/7gcMiS+xz30Iei+76789T3ZczQt2sWS6IZ+ixK7i3aQpCIqDtRM/SmPfTW7EO/szF6n7jsmz0AohlRZuijCjdDn/tjlQky2UNv3T708beta+wIQIjYr9Puj92S2sr2FOpcaZfc33bbber/n3vuuRgyZAiWL1+OkSNH4rTTTrP04DrD9ddfj6uvvlr9e3Nzc7cI6kfUVsBuiwZ/bqcd+9WWp/S5HkPJvToUzxFnKJ4MxtLJ0BseW+wBvTcQUr/HyhJXeCZCW/yt63QBveEx2n/rHxmwZ2VA7zRMuc/1tnVuhx0lTjv8QSXnk1ljS+7NhuKx5J6IKJ/UDL3ZlHunNSX3O5u8MR+TJfdVzNCr9EPxuva9Wb4z9HIoXnUk2A5YUMEYUoTakqmbch/5f3lvZJylZVbVEt3isWv/3ii5tAN6o4kTJ2LixIlWHIvl+vXrh927d+s+tnv3blRVVaG0tNT0czweT5drHciHkX0rsfz6H2FPpBS7f3WJWhacjNtQQq9m6J1xSu7lBNo0TiCxe5AX92qiXPW32cIl5jJDH2/rOm2Zm3Efeu02gr0rrdn/XFtWb49MqZOvA6u2ZTFSA3qnHSUuB5q9wZy/DmKm3Fs1FK8ifOFt94fgDYQyeg4iou4qcYbemgquHWYBfSRoYoY+qlCn3PuDuT3WQEhR71uiGfrs74+aOgLqXCS5wASEA3WXw4ZASKCh3Y9Stz7OkdvulrtjS+6ZoS98KQX0//73v1N+wtNPPz3jg7HaxIkT8eqrr+o+tmTJki67ANHZ+laVoG8kg5sOY4Zebi+WdB/6NLLsxscW+2qiXH2t8Dhht9vUldZ4J13tBdX4GPn7cDls6B1ZpMllhj5XF3Rt5YcnT6vKxoUk7c9W3Yc+zsJVIpUep3rh3dfmx4Ae5guMREQUSw4bK0tQcp9O0sCMLLmfNKIXPoz00Ms+ZTnlngF9YZXc53PKvTa5Ep1yn9n9kTcQwr9X7cDkUbVojexEVVniVFsdAcBms6FHmRt7WnxobA/E3FdEM/TR94zHovYU6nwpBfQzZsxI6clsNhtCody9KFpbW7Fhwwb175s2bcKqVatQU1ODIUOG4Prrr8f27dvx2GOPAQAuueQS3Hffffj973+POXPm4O2338azzz6LxYsX5+wYuyNjgJ58yn0GQ/FiSu6L++QjbxLkqq68QemIMxRPe0E1Zujldm8upx29I5nhbKfcyyy8zQbY7foe+pyX3Dvtakllrge5xJTcmwzFyyS7brPZUFniwr42P28IiYjS1K5ur2tSch85J/sj293Kob/pkiX3l04ZgS+2NaHFF0SfqvCieHQoHs/f2kV84zWzq8lnD728X3BqkjKBDCsYF63Zid+/sAanHtwfs48eBkC/ZZ3Uo9QVDug7Yu/xojtDRN8zpRbtCEGdL6WAXslRCW26PvvsMxx33HHq32Wv+8yZM7Fw4ULs3LkTW7ZsUf99+PDhWLx4MX7729/innvuwaBBg/Dwww8X7ZZ1nSXdHnp19TydDH3MlPuu8ZrMlebIPqKyrC9Zyb22BD5mKJ6mYkJm6LPdh15m6J2aG6XolPvcDsVzOeyWDT1KJmHJfeRrG/vUUlVZ4owE9OzBJCJKR+IMfTSZ4AuGTB+TTEgR2NUcDuj371OBh2cehm92t+DAAdUAtCX3PH9r7+VytcuNVfK5bZ0ciCdL4YHMEx51LeHX4vKN9Thj/EAA+oF4khyM19AW+7qUGfpSzfvBqvYU6nwpneVqamrw7bffolevXpgzZw7uueceVFamty2aFaZMmWI6uVFauHCh6eesXLkyh0dFxox7qhn6dE4gvm62D32zOuE+fHKWQ0yMW9JJCUvuNb8POZglPDQl895teVHSZj6i+9DnNkPvcdrVi1CuF3YSZ+jl8WQe0ANAi48ZHiKidLRrgiWjEs052RtQYJLITGpPi0/N7vepLEH/6lIcuV8v9d/ZQx9VSEPx8lly36FZdJL3R2Y99EKEtx12xrlnBoD2SDBe3+bHyi0NAPQD8aTe6pa4sUkbmZAw76Hv2r83Si6l5k+/34+mpiYAwKOPPgqvN3ZQCHVfbmMPvdyHPt5QPMO+9amIydAXecm93INeltwny9D7DavOZhdYt9OOCrcTkRl26qJBJqIZ+ujvWK5A53rbOpfDrgbROc/Qx0y5Nyu5T7+HHmAPJhFRphLtQ2+329QZPplmHnc0hfvn+1Z6TEv21ZJ7HzP0uvuNLp5syWfJfZtPbhPngFPeHxkqGEKKwGn3vY/p/+993Wwio1bNwv/r63YBMM/Q10YGH8sB16bHY5KhL/Z76u4gpQz9xIkTMWPGDEyYMAFCCPzmN7+JOyX+kUcesfQAqevTBughRagnpbhD8TLah757bVun7kEfyQKUuBP30BsvTB2BkFohoW2BsNttqPA40eINosUbRJ8MC21CIn6G3ooprmZ8uin3eRqKZ/y5WtRDD2h7MHlDSESFqa7Zi1/88xP89IjBmH30cN2/tXgDOO8fH+H40X1x9Yk/sPTrRvuBzW9jPS47/CEl44B+Z2M4cdU/zsDSKmboVdqFb3+Xn3Kfx6F4geiik8thfn+0Zlsj1m5vBgA0tvvj7i7VrqnO3LinDYB5hr428vl1zbEBfbs/dhGM+9AXj5RSS0888QROOeUUtLa2wmazoampCQ0NDaZ/qPtxawJ67Qky7rZ1GQ3F62Y99IaS+3S2rQMArz8U82/yglJlwTAfuWijC+gd+Zly73bYNYtCub0IGV93+gx9ZMp9xgF917ohnPffr3HTv9d19mEQUQH5aNM+rN/dgpdWbo/5t5VbwsHKc59ttfzrJsrQA9mXEu+MZOj7V5vv/KMdipeoFbTYKYrQ9c3naoaOVbSvh1wvPrT7tCX35j30y77ZGz22BIkq+XrX6pEoQ2+YkySEiLapeFhyX4xSytD37dsXt912G4DwoLnHH38cvXr1SvJZ1F3I8me/MaC3cChed9uHPlpyrx+Kl8q2dYB+0r0sgZMBvRXDfMx66NUV6FwNxZPb7zntKIlcExNdAK0gX3cVHidafUH9tnXB7Eruq7pQhr7VF8Tfl24EAFw2ZQT6ZLB9JRF1P62RBUmzhUnZx1vf5ocQAjZbZtPmzSTL0KtVXBneK+yIZOjjbSlaEbmOhhSBjkBmg/eKgbGKreuX3MfeG+WKHIpXrsnQG6fcL/t2j/r/ibLkbSbzk8ym3MtdGIwl976gArnuUq7bti58XPGSRVQ40r4T3bRpE4N50tFm3LXZWZc9cYY+nRXBmAx9F79oZCsmQx/JQrTHGYqXaBp7QJPZBqzJDJtNuc/9PvTh7ymcoc/PZFYZ0Ms9ZNtNhuKVZDgUT/bQt3aBDP2upuhclN0mpXpERGZaIz3kZguT9ZHtUf1BRdcDbIU2k/JhrWxLiZNl6MvdDsjLX1c4h3cWYzIh15Pjs6Wt7sx1NYFuKJ7JlPumjgBWbW1U/57otdqeaoa+Ivx6NQb0bZr3X6nLLEPPgL7QZbSk+NZbb+Gtt95CXV1dzJZ27KHvfsxK7p12m7o/uZE1+9DrX3chReDdb+pwyOCe6FmewUjbLkYG27Hb1sXpoQ/Gz9CrPfROW+Q5wxcBuTVeJuSFUF9yn9t96LXDFu2RTE++euirS13Y3tgRZyhe4Zfc726OBvTh7XGqO+9giKhgJM7QR/fCrm/1q9eebAVCirrYWh4nM16SwawerR2RRc7+1eYZepvNhlKXA23+kO56290YA/iAolhejWElbzC2HTEXhBBYur4OQDjwVmcMKUL9+Xy4Ya9uEF6iRJVcENu/TwU21LUCMM/Qy5L7va0+KIpQ78Pla7TU5dDdm0cXvoo7SdYdpJ2h/9Of/oSTTjoJb731Fvbu3cseelJL7n3B6EU23pZ1gGYoXgZT7uV5yLia+OZXuzFn4Wf4y6tfpfycXZkMttUp9+pQvBR76AOxF61oD31uMvTuHO9DL19bboc9b5NZA4YMvZxNEAwpat9gpiX36sJKFwjotRn6OpPpuJkSQuCb3S05G5RIRJ1Lbrupvf5L9Zo+XrNttDKlDaC1/cBa2e6vvbMxnKEf0CN++5Hcz7s7B/TG37kQSDitvbNpF3iMx26lxz/ajHfW74Hbacf5Rw3VtaDKewdtuT2QJEMfqc6c8oNa9WNmAX2vCrf6NRraowtq8jVabni/RLcA7r6v4WKRdoZ+/vz5WLhwIX7xi1/k4nioAGm3rQtoJqrH49E8PtWVXJkprSp1obE9ELMYsHVfO4BomVyhizcUL9Ue+g5/bMl9tIc++97toOlQvBzvQ6/5Pmzqwk7+MvRAtJVB27uffYa+83vod2kz9CmW3MtFjUTf/+IvduKKp1biiuP2x7VTR2V9nESUOn9Qibt9rFW05eYt3oBuSvc+TYZ+b6sfVpHBjVOzPZ2RWkqcwaJvIKSoQ8XiZeiBaLl/R6DzF2U7i9mk+EBIIMNOtJzLx7Z163e14C+Lw8ml66eNxgH9q3QtJ8GQgNMu1IF4Nlt4ISRRNUlrpOR+yqg+ePj9TQCAnuWxFS8uhx015W7sa/NjT6tPfT/KHvxStzGgz88WwJR7aZ/p/X4/Jk2alItjoQLl0ZXcJ96DHtAHQKlm6eWJTmasjauJ8mRZLCvlxpL7kmT70BuH4qXQQ59NZlgx2Yc+2iOW4wy90x59zeWph76qNPwzCyoCAcNWSJ4Mb5i7dsl9cj9+4ENMuX1pwqzCVzvD2/F8t7c1uwMkorQ8/tFm/OD/XsO73+xJ/uAsaAMV47lMG8TXWxjQayfcx0sIeLIoJd7d7IUQ4WtmrwQtfGXqbJviuO/IhLyH084yMN6PdCVek3sjq/3fy1/AF1QwZVQtZk0aBkBfzRhQFHxf347tjR1wO+wY078q5tiM5CLWkJoy/Pr4/XHuYYMxMM7Axj4me9HLHnxji4q8twyERJeurKDk0r4Tveiii/DUU0/l4lioQLl1Q/FSKLnXBECp9rfJ0moZWBkXAuSNhNngkEKUbsm9sW9du21dtA1C30OfTSApM/TaXiyXpkcsF7TfR75WlX2GknsgvKgiL7wepz3jXkEZ0Fs9LCoT6ZbcN3sDWL2tCbuavdjWEL8qRmbousKiBVF38tiH3wMAPty4N/EDs5QooN+n66G3suQ+8YR7ILuS+52R82G/6pK4s4AA7bDa4rjvyIS859MG9F21xUoIYcjQW3+vIoTAmm1NAID/mz5GvT/Q3hMHQ0K95g6uKVVL5+PdzyiKiO4h73HgmpNG4a8/OTjuvUetWUAvt6yLydBHj4uD8Qpb2iX3Xq8XDz30EN58800cfPDBcLn0JR933nmnZQdHhUFbQu9PIaB32m2w2wBFyEA9+aAceRJWM/QxAX04AG4vgtK3YEhRJ/imvg+9cSheUPNv+h76aIY+81Jv0yn36j70Odq2LvK8Hqc9uoiUp5L7co8TDrstvEWRP5T1HvSANa0PVtGV3KcQ0G/XBPGN7fEzbzIrx4CeKH++39uGbyODs/ZZmBk302IoudfSBvF7LQzok+1BD2S3v/aOxsQT7qWyJAvt3YG2AtBpt0Wq2LpmptdYOZCLSoIWX1C9Px3UM5pBd9htaml9MKSowXuJy6FZfDI/Hm3FZbwhkFq1FWYBveyhN2ToNb0R3kAo4SJZJp75dAteWrkd88+fgB4mPf9knbR/c2vWrMH48eMBAGvXrtX9W1edakm5pR2KFzBkg83YbDZ4nA50BEIpl9z7YwJ6/QVU3lQUw4VVe4Mkg+9kNw4xPfQBJebfXJEgWC4SWN1Dr+6zmoeS+3gZ+oeWbYQ/qOCK40da/jXLXA60+IKRgD67PegBfcl9Z08F1mbo9zQnL7nXBvTaLJyR/LeuUIVA3dOLK7Zhc307rjphJGw2G4QQuGvJN+hZ7sbso4d39uHlxJtf7Vb/vz7B+9MK2ve2to3LGwipC9MAsNfC48hXhj7eHvRSqYtD8bTXSJfDjqASytk9QLaMAXMuKgnkDJrKEmfMgr/Lboc/pCCgCLVdsMTlUAdFy9dqSBH403/W4fBhNTht3AC0R95jdltq9xwyQ69dnFd76A3HZI/MofCHFN1sIKs8tnwz1u1oxttf1+GsQwdZ/vxm7n9nA1wOGy4+dkRevl5XkXZA/8477+TiOKiA6Yfi6bPB8Xhc9khAn9qFMKbkPmDM0IdPVm1FUHIvv5dSl0P9OabbQ5/7feij2xNK8v9ztW2dtvpDVoV4DRNrb3vtaygC+PGEQQmHGaX8NbWT9d2RgD4QynrLOiCaoQ8qAt6AEjOsJl+CIUWXPdvT6ku6wLC9MRrQNyTK0MuAnhl66gQd/hD+8MIX8IcUTBvbD6P7VWFzfTv+39sbAAB9Kksw/eD+nXyU1nvjyzwG9Jr3tja4N35dK0vuk+1BD2i248qgLWtnihn6aMl99z2/aa/LLocNHYGu20NvvN9UIhP5HQnaKtIls+IyqNZyOmzwhyIZerXKzx6zddyabY14bPlmvLO+DqeNG6C+3svdzpQW/k1L7n3mGXogfD/uN8wGskpjezhxtGlvm+XPbaapI4DbX18Pmw2YOWmYmnDsDnI7/pS6BY9JD32yybrp7n0pM/mVSUruOwIhdWBboYpOuI+eeNUe+ngl90H999yhucGIXnDDFwIrtq1LOOU+xz30bqc9ZkUbiPzuI1/6650tln5Nj9Oua3tQL8ZZXCzK3Q51Wn9nlt3vafVBEdHfZSAk0NCe+Hi2NbSr/7+vLf5j5U08M/TUGT7eVK+e/3Y2hrOuOzSLUde/uEa3OFUMGtr8+Oz7ferf91m4XZwZfQ999FxgDOCtHIonr2+Jyo/lNTOTtizZgtQvWcm9iyX32uuyvO/L1aJ+tsxeC1ZXE8jdEWorTAJ6zTVWTQo4HTHb8Mr3lGyXafMlr0jRMu+hj78IVpJkF6VsNEXmQX2Xp4Bezp8SIr2tsYtByhn6s846K6XHvfjiixkfDBUmbQ+9LxhdrU34OWnuIx4z5T5OyT0QXpEvS6HPqKsyDsQDomVS/qBiuqIcW3JvNhTPum3r1B56h7bkPsdT7jWZgBJNm4ekvRh9tasZx43uk/Jzt/mC+GZ3C8YP7qFbAfdrFqjUrQMtKrm32Wyo8DjR4g2ixRdE6kdrLVlu36fSA28ghIb2AOpavKhJMN1ZGwTF66EPhBS1BLfVF4SiiIQDpois9sGG6EA4GaTt1LSXNHuD+O3Tq/DUL49UFyQL3dtf10ER4UGeTR2BnPbQK4qIOxRPZujdTjv8QcXSSgG1hz5hyX3mQUpDZJEy0TkQ0GTou/EwMW1Vptz1pquW3Mv7xjK3Qw1w/SElq0o7o0QZenkPFlQUXZWfcd6DXCBq84fgDypqQF/mSe041YC+NflQvPAxJO7hz1QgpKjnh0178hPQa89HvoACJF6TKyopX8Gqq6tT+kPdjyxpUUT04pmohz78OekNNYvuQ28+5V7bu1foZfcyQy9L4wF935NZlj52H3qTHnqTbeuEyGwlPaRm6DXb1qkX89yszmurP8z6I7VZknQz9Lcs+hJn/v1DLDVs8aTr29dMNJZlnJ4sbwSqLNhxIFtyy7q+VSXoUxm++iXbiz6VHvoGw8fbunFZai4FQwqaklRUdFfvfRsN6OXrXAb2RwyvQbnbgU++34cT71qGV1ZtL/jqLiDaP3/mIQMBhIOCXE2vNr6n9Rn68Pt//9oKAOHWHKsWe9Ue+gQl99G2LP333tQeSHocso2oZ5IhXhyKp2/pcznD931dteReBqzaTHfA4iyuDOjltVQrurWvUPvVPa7Y+xntPV5TR0B9n6UyEC/8tWMz9G1qQB/7HGqCxOLzhMzOA+GS+0zvN9PR5outTu0uUk5jLliwIJfHQQVMW17fEnkzJc3Qm2RYE1F76CMBkD+o6DJ+rb7oiaPQL65ycaJKs1Wadqu/Dn8IFYbMhDxxVXqckT5vzZT7SDm+/D3Jn2FIEegIZFbNoJbca9Zt1IuVkuOheA676R7D2ovg17ua03puuV/6tn3tuo9Hv6YDpZGLrnaYY7Yr+9F5BskDMiEEhIDlWW6Zoe9XVYI2fxDrd7cknXSfSg+9MSPX6guq1SFknSueWon3N+zFS5dNwsi+lZ19OFmxsopjT4sPX++KLuypAX3k9X7EsBpcfMx++P0La7BpbxuufHoVFq/Zif933iGWZuzyKRhS1H3nzzp0IJ78eDMCIYF9bf6kA94yYWyl0WXoI9nB/ftU4KtdzRACaGgPmGYu0xXtoU8lQx+9Rqzb0YQfP/Ahph7YD/f89JC4nytbjnqUJT5fJQvou0NVknEoHmB9kGwVed0udTlyNpG/riV8fjHtoddUMGgz9NH74UhAr3k9Nbb71SRVeaoZ+orwYkJTRwDeQAglLodmyn2CknuLtwHWBvQdgRB2N/uStrFkq0WXoS/sWCBdxVFjRp1KG9DL1TF30oA+s5J7bdZaBrEBzYARoPAzgWYl93a7LVrynSBDLxcBtBcE41C8MrdDLdnPNDNslqGXz5+r/jl54dVm6LUnbO3PZeOetpRfW0C0DNdYcubTVAXIm0fdULwksyKSSWdA4aVPrMDxdyy1PNu2K5KN71ddopmOG3/SfYc/hL2aMt54/fbGzD0H4+XGZ5sb0OoL4p/vb+rsQ8nK0vV1OOSWJVj4gTXfh7bcHgB2R17nMkPft7oEJ4zpi2W/Pw7XnPgDuB12vPHlbsxZ+GnBznzY3eJDuz8El8OGgwZUqyXjVvavaxnf09rzmHz/96n0qJnueov6+dvVnuIUtq3TXAceWvYdvAEFyzfWx/08IYTaRpQsQ18auSaYldxf/tQKHDPvHV3GsBhpZ/So9wBdtNJF3i94tIsPVvfQJyy5l0kPoZvDYyx51yYnGjsCmoqU1JIvVaVO9b5cDryVQ/FKzTL0OSq5bzTcG3y3p9XS5zejfb91tx56BvSUNYfdpp6o5AU+WYZeXmxTz9DrA1YgGuQbg6FC30ImmqHXn3gTDcaTWXj589H+DIxD8WTvNpB5H728YOdzH3rdxHmT14/25xJSBDbUpXbxCIQUtdfMGCwHNNkH7YKKFVPugfTmGbyzvg7f17djc3170semY7dmAFQqJffGIWLG0nrJmKFvKfIb286gKEIdevbSyu1xfxddXV2zF1c/uxpNHQG8vX5P8k9IwfuRgH5UpGpBZublf/tXhV/rFR4nfv2jkVg4+3CUux34cGM9Ln7ss7yUh1ptV1P4vdmvugR2uw015eGgwqpA2sj4nm7WnMfkol9NhRu9LF5YkJk/Y6WalgxS5OL27mYvFq/ZCSC8nVe8Bd9WX1C9vqVecq//OSiKwBvrdmF7Ywe+y1PvcGfRZujlPUBXLXXWVta5cnS/knjKvVmG3h4z70EX0LcH0JrCzAgtm80Wsxd9W4I2lVwNxWvq0L/f8zEYT1dyz4CeKH1yZVZmNlxJMpfx+tvikW/McrcTMoaUF2RjMFToJfctag+9vtyvNMFEXTVDH8n4an+uxn3ow88dflxTR4YZ+shzOjQ197KcLFer82bb1vlDilotYHwtrd+VWh/9nhYf5L27seRMuxhSovn5R28MsjuFRhdWEv8egqHowMlEWyQ1tQdw2ZOf4411u1I+Bm3JvVnvnZEM6GUGYF+8knvDlGtm6K3X2BFQd3bwBRU8/enWzj2gDCiKwDXPrVYzuvGGLKZDCIH3I/3zP5kQ3vvY2ENvLP2ctH9vPPXLowAAH26sj8kuFYKd6mJFuLxeBtLx5lxkK3GGPvz+713uQa+K8HHstWjrun3tyYfWRbetC583n/x4i+7atKPRvApJ/t49TnvSrUTLNHNVtPa0+tSKskKt9kiVdkZP1y+5j2bo5fXL6pL7vSlMuQ+GhHosJS6HZten2JL7hna/WpFSkWLJPRA76b4jQZuKWQujFYzn0HxsXac9BzFDT5QBORysRc3QJxmKp065T6+HvsRlj+m/NwZDhV9yH8nQGwL6Ek0Pt5HcKq5altzrAvroFFqpKstJ92YZ+pxPudcOqNNkxuVrw3gx+jrFgF7e4Js9h27bOnf0529dhj61gL5Nc4FPtGD19vrdePWLXbjvnQ0pH4NuKF5V8pJ7uWXdAf3Cmc+mjoC6qKIVU3Kf5o3tkx9vxjOfbknrc7ob46LJ48u/z9n7L1cWfvi9bnhdvJkM6di4pxW7mr1wO+3qPvP1bX60+4PqDbdZL+e4wT3UDJa2/7NQqItzke+tJtcBfeQ9LTcGMduHvqbcjV6R4MaqDL1c9EkY0MsqrkAIvmAIT328WXes2sGeWqkOxAOii+zGgH6b5rmLveReNxTP4pL7bQ3t+POiLy3bWlJe3z2u3JTcB0PR3RzktVRLP+U+mhTwGEvuNa+npvYAWhMMtIvHOOm+LWEPfXoJtlQZz6H5COi1Q7HTabssBgzoyRIyQ596D316e8T6dMGcvv++ucgy9Gb70AOaknuzDL2hJaE9QQ89kF7vtploD73JPvQ56qE3K7kHzC+CQHTQXTK7NNtYGRdL9EPxoj9/60vuE/8etFn5RC0lcjU+1YmyQghdxlItuU+UoY/crB44sDryHObBT8xQvDRea62+IP7v5bW4/sUviv6G2Oib3S149tOtKf3+5M3a4JpS1JS7saPJiyVf7s71IVrqyUigNWvSMABAY1v2gfTqrU0AgEMG90D/6hL13Ld2e3g4m8thQ02cgE0uihZiQK9m6A0BvZVbxmnJ93TvSMBuNuW+V4VbzVZaVfovFyh6JAi6tUHKq1/sxN5WP/pVlWDSiF4AgO2N5q1LqQ7EA6IBlvHaow1ACz3BkIxuH3qLg+THP9qMh9/fhEc//N6S51MTQ05HTtoD6tv8ECJ8X2S2IBRtSxQw27ZOHYoXMGboZTCefkAv2+cSb1uXm6F4MkO/X205gPwE9NoB2Sy5J8qAXGFsTXnKfZpD8dRMqSOmPKjoeug7zEvuy1zRoWxG0ZL78OdoV1qN+9BrnzvjgF6YZOjtue2h125bp53bYLwI9o2sjKecoW/SZujNS+7dTrs6TCacoZcDbawaipc4eNAGtWa/f0n2rbZ4g3GH1Wm1+ILq+0Vbcl/X7IsbUMqb1aE1ZWqLh1kG0Lj/dTo99M0dAQgR3gpTu294d/A/L36B37+wBp9s2pf0sTJoGlBdip8ePhgAsCjSJ1wo5E3f1AP7AQi/TrK9EZNZ1n7VJbDZbGq2bPXWRgDhapR408erIzfijQUY0MtzWd/IfIDekVL3XO1FL9/TAyILCPJ6IoRQg/feFR7Le+gb2lLP0Dd1BHDnkm8AAOcfNQRDe4WDi3gZ+lQH4gHafej157btugx9Yd+PJOPX7kMvg2SLAin5ut1i0dwY9T7SlZv2ALmg3qvcrUt2SC7ZlqgN6J0m+9AbhuIl6n+PR+2hlxl62Yefx6F4clH0kME9AQBb9rXnPMhu1WXoGdATpU2uzMoLvDtJoGO2pUw8QU2ftMdpjynXjw3oC3tFXH4/VSX6E29Jggy9DDyrE0y517ZBVKWxXZqZUCh+hj4XPfSKItTnld+HcWFHXiAPHtQDNlv44ppKz6a25N5YMeI3GYqnzdBnuw99yiX3motUogqUvZrMeiqr4bsjAUBViROlboca+HQEQnFL5GU56cCepegZuaE263uWQb58TaaboZd2dbOAfnek3SGV4Yey5L53hQcHDwpXTOxosqY8NV/kNWNQz1K1HLqxI7vAT95I9oi89mSAu2pbI4Dw4lU81aVyvkjhBfQ7I7/7aIY+t0Px5Hu6f3W4Z7/dH0IwpKDdH1301Jbc77UgoPcFQ2r5cLwqCyAapDS0B7B1XwcG9ijFzEnDMDCyfd+2eCX3kfNWz/JUMvTm12Rt9r/YK4xMt62zqEpPXhetK7mXPfQOTTWBdfcriQbiAfqtfbXl/zIx4DXZtq6pPaC+hlIdigdES/5lhr4jwaT8XO1DL+8LRvWrQKnLgZAisLXB2qG+Rvop98W9mGbEgJ4sIYPsthxk6LUlUR6XPeZzjUGp1Rn6fJ8UoiX3xqF4CXro5T70JdFtdGSGVe2hNxmKZ2xXSFXQtOQ+dxl67WtALhYZ+77kf3tXuDG0pgxAaoPxEmbodQF99OcvV8yt6qFP1l+uvUglWrDao1nA+D6FgN44IKzM7VQH9cUru5fZp0E9y9QsllmGXgYRQ3uFfxfaUrhktD+PnQUWoGZL3sSmUpkgS6l7VbhRm8IOBV2NLxhS32NVpS518SfbgXTy8+XzyQBeZugT7YXcozT8mm6yoJc/3+L10Oes5D7ynu7fo0TzsaB6Pihx2VHmdqhD8axYWJC/W7tNv42tkVzwBcJ983eeMw6VJS4M6hkJ6OMEidGS++QZ+nhD8bQZ+u40FM+t6RG3grw/2WFRQO/T9K2riw8WHSuQSkAfXUTwaobieVz6FtSYkvvI6yudoXjynLeruQOKItStFc0GPeZuyn30vTS8d6TsPse7Pmjfb6m29BYLBvRkCXXKvVf20CcZiufUZ9kT0b4p3Q57TP+9MfNnZUA/97WvcPBNb+Cb3amVb1vBbB96AEn2oddvWydE9Gdr1kMvH5dtD71Tsw+9tpzMamYBvcc4GVaz+j66XxUAYN2OpqTPrQvoNYs3Qohoyb0jOvG4zRfEx9+Fy6FHRwbDZarSk9pwQu1QPLM9jyVtBuz7+hQCekOJLgBd2b2RP6ioGeSBPUrRM9JnajbITN7UyxLXdG5s27pphl4Iob4ndzUnv4mVv+9e5R611SS8a0NhbLmmPXdXeJzqAlG22+/JcnlZPi+zVTIrmzhDX5g99CFFYHckoJAZcxlI53ooXs8yt7rA2uKNDh7sVe6BzWZTS/+tKLmX30vPMnfctglAv9h68TH74cj9wr3zMqBPXnKfPEOv3UpW+57T9dB3k4De7bBZXnIvz4X1bX5LZiNpWzfVbessLMuWw2T7xAnoXfbo4ODoUDxHTHJC+72Gt61LfyiePAfsbPTCGwypO/kkHopn8ZT7jujCquyj/25vbvei195ndNXtE3OFAT1ZQgZXKWfoDSuSiciTsMNug9NhkqH3GQN66y6gyzfWwxdUsHJLg2XPmYiiCPX7MZbcl8bJBgCx29YB0YuCdrs3KduheIky9FatzmtpL7py4aDE0HohL0albgcOGxbu2Xrzy7qkzx1vyr1xEUHeIH62uQH1bX5UlThxxPCajL4fKfWSe00PfaKSe22GPoWSbXUPek2Aow7TMZl0v7OpA0KEF+R6V7jVkntjv34wpKgfk9US6bzWdAF9c/cJ6L2BaHtRKgsZ8vfdu9Kt/t78IaVgtlyTN1/lbgccdps6iCyV+Q+JGEvujQF8ogx9dZk1VQL5trfVh5Ai4LDb1NeCOuU+Vz30XrmdllOdy9LsDahBt1xQ6CVL/y3Yti5aEp84g967wo1jf1CLyT+oxdUn/UD9+KCe4fPRrmav6Y4Q8rWXSg+9DLCEiF47hBD6HvoCn+mTTC5L7rUVhFaU3UdL7q0/ViD1kvuAItTy9hKnPWbbOm3SpqkjoA7Fq0ij5H5ApGqmvs2vvqZttmh5vVauhuI1tUfPw6P6hpMfa7enNqw4U9pFYmboqcu55557sHz58s4+jITUoXj+9PahT6nkXrN1mPZrRXvowyeNeOVv2ZAZBSt6/1LR5g+qK6nGoXjqPugmGVr5Myp1R3vD5OPMeugrs9y2LhQJ2s22rcvFlHvtfvAyK2Oc+i+/31KXA9MP7g+bDfjk+30Jy/W0U94B82GCQPi1J2/e5E3scaP7JF24SiZ6E5xs27rkU+4VRegycZmU3ANAn0jwY7YX/XZN/7zNFp0Ubsyoam8gBteEMwXpZOi1wX93ytBr348pldxrMqEep0PNKibapaArUQPCyMKWDKKy3YtelsvLBQJjAJ8woC/QDL18vfSp9KgLrXIYXYsvmJPWMfmerihx6hYn5XVTLijIwL7NH8o60yrPLYn65wHAZrPhsTlH4NE5R+jK72srPHA77AgpwnSxsEF97aS+bR0QTSQ0dQR0QXyxZ+i1CQOrt4LTXgesKLuPDsVz5GTbuj0J9qAHNHOGQorplHtv5Pi01/iGdr96/TebUB9PdalLfX1urAtnxUtdDtOqFk+OSu4bNSX344f0AACsirQ95Yr2Xok99NSl3HHHHXjxxRdx6KGHJnzc0qVLYbPZ0NjYCABYuHAhevTokfsDjJBBpAxGU83Qp1LiI9+UHkOptVx9k8GQzMJYuW2dvLhbNZ03GXkBc9ptagZaijeAB9D3sWnLAAEgEIzdhz7aQ29dht6luVhZzWxSvxzuIm8qvX55gbSjf3UpDh8Wzp4vWrMj7vM2tAd0gXu8gN7tsOtu3gDgxDF9M/petDKZch8voG9o9+v2g/8+ha3rzEruZXms2SKWvAEeECnn6xlnn2t1WylNX3Q6Q/HadD303Seg174fd6dQmSB7o+XvTG47mMrndgXyfCcXttSS+2x76DWlnkD05yL1TyGgL7Qp97sisya0ixVVJS510bXBgu0AjeR7utLjRGUke9jqDaqDGWXpcYXHqbZKZdtHv8+wWJMuu92m9vybld03qhn65M/vsNvU+xJ5XjYO2yv6gF5zbZatllbcAwgh1PZDwJoMvfZe0pWDbeuiGXrz80u05F6owbu25D6kCARCii5p0+4Pqa/JdLats9mir/MNkYA+Xsm+OpTPwoy2EELTQ+/CwYN6AAhPureiUice7fuN29ZRTsyaNQs2mw2XXHJJzL9dfvnlsNlsmDVrlu7jH3zwAR5//HG88sor8HjMV/ziOffcc/HNN99kc8hpMU77Tr2HPnnwrd2D3uxz5U2h7JO0at9XbyCkXqRzNSXYKHqD64TNpv8ZptJD73Lop7GH/03/8ws/fyQznOFNq6L20JvsQ5+DKfdm34MsP5MncFkuJr//08YNAAD8e3X8gN44cE17QZM/U6c9XBVQ6tbMC3DYMPkHtZl9MxoyoPcFlYQXH/2Ue/PXtwzAy90O2GzhrFyy3tldJiX3VQmqN+TClgwg4wVg8v1SU+5GRWROQFo99JpFi+5Ucq/9mTe0B5JmTKJ7fYfPfepk44LJ0Ie/X/le7qmWu2fZQ2/YS9yYke+boIdefk6hZui1ixV2u01ddEtlx4906TP0kfOGL4DvIoOv9qutABAOLnpbtHVdKlvWJaP20ZsEielk6AHNQnvkvWp8zu4yFM/ttKv3AH4LqvQ6AiHdjjlWZOjVyfJO66sJgDSG4inaDL1dN+/BF1Rizvtqa1IaAT0QXXjfuKc18vnmGX7jULxXv9iJ19ftSutrGbX6gmqCoTqysD8i0ke/OrLbSC5oqzq4bR3lzODBg/H000+joyN6YvJ6vXjqqacwZMiQmMcfffTRWLVqVUaZ9tLSUvTp0yebw02L25CRT33KfToZeofp58qbQnmTZlXJvXbQV/4y9OZ70AOJS+4DJsPb5OPMeuirLOqht5vsQ5+LDL3PLEPv0WfoO/zREjYAOOWgfnDYbVi7vRnf7TEfxCIzmfL1q11g8hsWkrQX3aP262X6O0qXticu0Y1fKvvQyxv2/j1K0T/yXkg2GG9XU/hztAFPor7+vZFAXQaQNeXmQ/HUHtpyj1pOnc5rTfvYfW1+y0sBuyrjzyhRpt2r2VqwV4Fm6OXxy9dcdCZD5udbRRFq7211ZGK9HBgIhNtAjBl7LbXkvsB66NUJ91Wluo/3ilNFYwV9D330fS4DiP0ik60BaLauy25hQb42kvXQJ5Jo67p0MvRANOsp7ztk1l8G+lYlGLoqufDttrjk3ngujDfEMB0+zWR52RZq7VC88Gs77lA8hyZDrym592gSFd5A/LaUdPahB6KLexs0JfdmtCX/TR0B/PpfK/Hrf63M6l5Ovo88mvlD4yP70a/a0pjx8yYSCCm6mIIBPeXMoYceisGDB+PFF19UP/biiy9iyJAhOOSQQ9SPKYqCuXPnYvjw4SgtLcW4cePw/PPP657r1VdfxQ9+8AOUlpbiuOOOw/fff6/7d2PJ/caNG3HGGWegb9++qKiowOGHH44333zTsu/N40o3oI+UzacU0Bt66A2fK0/8fS0uudfeAOUiu2FGm6E3MvaMa0W3prPFZOijJXFW9tDHz9ArArrSbytobxqkmIA+oA/oe1V48MP9ewMA/rN6p+nzyqyW7PPWD8ULP598LWsvhlaU2wPhn5m88Uv0u9BNuY/z+lYHpFW4MUxuEbM3/mC8QEhRM+l908zQywCyR5weeu1QrArD7ykVxjLVQtqKLRvGn1GidgNZbu922NVy5z6aSfeFwHi+k9nxfVmUh7d4o3NIZHBe5o4GnL3KPbpKHyN127oiyNADmsF4OQjotQsyahtXRwCbIvM7RvSpUB+r7p6R5WtTzdCnmEE3M7BHeDCeMUj0BxXd5P5UyHJp2UMvM/QjI0PA2n3FvRipXfi2suTeWD0Yb5vBdGjvJaNb7Flzr9LmC6rX5rgZent0vpH8siUuB2w2m3pO8gZC6k42xiF46Uy5B8KL+4A2Qx+n5F7OpQqEsKOxAyFFwB9UspqHpC23l2Qf/coc9dEb7xsY0FNOzZkzBwsWLFD//sgjj2D27Nm6x8ydOxePPfYY5s+fj3Xr1uG3v/0tzj//fLz77rsAgK1bt+Kss87CaaedhlWrVuGiiy7CH/7wh4Rft7W1FaeccgreeustrFy5EieffDJOO+00bNmyxZLvKyZDn2wonis2IxpPdJCJYSheQL8PvbxhsGpFXNtzmKt9fI1afAkC+hQy9Noe+nZjyb1Jhr7VF8xoi6toD330OZ2aBQOr96I3DkYEonuyqiX3csq9JvCWZfevrTUP6HdHboLlHqnaTLCx1UN7MTzhAGsCeiC1SfepTLmXQVzvCo8a0G9OkKGva/FBiPBCTy9NtivRfAXZ+9a7XD9F25hR1Q7FqszgtWa8MHeXveiNiyiJMu17W2S1hFttz+mbYIeCrkgNCD36HvpsSu4bO8KfW+Z26AJ32VaSqH8e6JyheC3egNrGlCnjHvRSrvaiF0JES+49LnWR+Nu6VrT7Q3DabRgS2eECiC42ZVs9sq89NlBIV7ySe/nasdmiW7smI4MseV6WpeGj+oYXM4q95N5sKJ4VJffG6481JfeRak+Xw/Ieenn9LXM74gbO8h5JO09GBtOyj72pI6AuSGrPVW6HPeFCpJkBkc+X7XjxhuppS+61LW7Z7FgU3Wkkem9xyOAeAIDVWxuzPt+ZMb7XOBSPcur888/H+++/j82bN2Pz5s344IMPcP7556v/7vP5cOutt+KRRx7B1KlTsd9++2HWrFk4//zz8eCDDwIAHnjgAYwYMQJ33HEHRo0ahZ///Ocx/fdG48aNw69+9SscdNBBGDlyJG655RaMGDEC//73vy35vowZ+mQ99NFtOlLfh14GpPLkIwOu1lxl6DU3lfva/Dk5ARklKrk3Zt61dCX3mpNzSBHqSrB+KF74+RWR2bY6Zhl6lya4t2rVWwqYtA1Ee7P1W72Uai5ak0aE9x7eUNdq2qMus1pyr/SgItTsgpp5iHzNPpUeXDBxKK46YSQG9CiNea5MyVX4RAF9ewpT7qMD0jwY3ktm6OMH9LvUqdglutYJeSNrmqE3bEelBmAdAV1VRrTkPpqhDyki5aE7xq0ou0sfvfE1kDhDH13AkeQOBbsLpKJBlsZXGDL02ZTcN2q2StKSgW6i/nkgum1dRyCUlxvCXU1eHP6XN3H5Uyuyep6dzeGAx7hgES25t/Y1od1iUTvlfnUk+zakpkx3vpaDwrLN0MvFnmx66Af2lCX3+gom+dqpLnXpBr4mYlxAl4sEP4hk6It9KJ52Fx2nhSX38twgX7+7mrxZV/7Je8YSbQ990Jp7lT2tsedjI/k1ZeBps8Xe12q3y9QuzpXF6X9PpL/hPqU87lC8aLJIu6tMNj9v7XtJGtWvEh6nHc3eIDYlaQfMRJuhGqa7ZejTq9+grNXW1mL69OlYuHAhhBCYPn06evfurf77hg0b0N7ejhNPPFH3eX6/Xy3L/+qrr3DkkUfq/n3ixIkJv25raytuuukmLF68GDt37kQwGERHR4dlGXqPYW/L5FPu08nQx++hDylCDUgt76HXZDRCSnhiZzZ9e6lIqeQ+jQy99sKqrZoocdnhtNsQVMKTZNPZ3xRIvA89YH0fvbGfHYgOeGmLKbmPPqZ/dQkqPE60+oL4vr5NvcmSZKA4TNPr6Q0qqHDYY6oCbDYbbj7jIEu/LyC19ofWVHroNQN5hvYKZ8YS9dDvNtmyLnw88RcYjEPYZAAmRHhFPpoNjA7FK4sM6RMiPDCrNIU+QPk7dTlsCIREt9m6zpiVSvR97zW0PwDasubC+Hm1Gs530Qx95tlxmRmqNpRMy775ZBn6So9Tfb02dQTQpzL9G+l0fLO7Bd6AgpVZ9JUqisBuk3kYQPS9anXJvTYoKXM51PPY9/XhIFkOxJPkHINs22f2pbgPfSKyh35HoxeKItQFTXWP+zTK+Y27z8gyfjWg94d0X6PY6Pehl1vXWtdDP6K2Ak0dDQgqAnUtXvSvznwxXSaHcrFtnZy5keh1KRMg8nsrcTrU6ioZ0MvFTJfDplsciBeMJzLAcC6In6GPTrm3LKCPVLtUayppXA47xg6sxmebG7BySyNGGM4R2Wr16a8bnHJPOTdnzhwsXLgQjz76KObMmaP7t9bWcK/L4sWLsWrVKvXPl19+GdNHn45rr70WL730Em699Va89957WLVqFcaOHQu/35qLvMdQCpTyULwUMnZ+Y8m9ptdIW7okbxjaLSq5N94A5WPSvQzqqhJl6A0BnRBCM+XepnuctpxM20Nvs9nUTOwnm/bhJw98iCc/3pzycar70GueU5utt3ovep/JHADjlHvjUDwg/H3uH+nj/HZ37GA8efEaqikN9RqGCaZb5pauVEru23U99PGm3Ed76GULwfd72+OWuUeHaBkDernAoP86Qgj1a8isicthV4/fbIhkTYUHNpst2kef4mA8+TsdFqk06C5b1xmnvicK6NXFlfLoTZ9c1Kxr9mXUSpNv0ZJtQ0DfEcj4+KNb1ulvgKeMqkWpy4Fjk+xOYbfb8joYT77W97X7M/6e97X74Q8ppgP/atQp97kJ6CvcTtjtNnWOgyQnWkt91Ax9du/lTIJuo/7VJXDYbfCHFN18nIYMyvnL1AX0IDr8IbWKaVS/6OJxexEP9dRWB8prZdCKkntND7ZcpMp2MJ7XZNs6qwL6aPtQ/MDbqWbow9+bNvkg/1++BktcDt3rMN6E+kSMGfp4WX5dyX0WAf1/1+7C6fe9jw11rZqSe/17aXyk7H7V1oa0njsVrd08Q8+AvhOcfPLJ8Pv9CAQCmDp1qu7fxowZA4/Hgy1btmD//ffX/Rk8eDAA4IADDsAnn3yi+7yPPvoo4df84IMPMGvWLJx55pkYO3Ys+vXrFzNILxvpB/TWDMWTZVkep129CQuEhCUnaWPZp9U3RGa0U4ONZGbTa6hA0AbP2iFr3kBIN8FVWxIPRAPJq59dhc82N+DpT7amfJwhkwy9zWZTg/pseq/MmG1bZxyKp5bcGya5jowE9N/sbol5XnVf9R4luqE0gHlVQC4kGkInaTP08YfiRUvuB9eUwWYLf1683lmZoTeWIGvnK2gv6G3+kPpe1GaFexoG4wkhouWHkWCiMs3BeLLkfmSkD7W7ZOjlgoccJpao1aBes4AjyWFMvqCC5o6uX+orz3fyPSBvYEOKMJ3hkIomue1YqT7gO23cAKz909SUBlrms49evif8QSVu9U0y8v3RuyJ24F+uptzL16pslzBWle0XE9Bnn6H3BUNqRV42Q/GcDrv6c9G2AMhy/nQWC0pdkSn3gZBabl/pcaJPpQfy8thexGX32uukHPpmRV96tFrRpVZUZLsXvUwglWgy9Fb10MtrVqLA22XM0GvuVdQMfVu03117Dkt3IB6g330CiJ/lj1bMKtip66FPL6B/7rOtWLOtCc99vlVdDDUujsnBeKtyMBjPmDDwFfFCmhkG9J3A4XDgq6++wpdffgmHQ//mr6ysxLXXXovf/va3ePTRR7Fx40asWLEC9957Lx599FEAwCWXXIJvv/0Wv/vd77B+/Xo89dRTWLhwYcKvOXLkSLz44otYtWoVVq9ejZ/97GdQLAy6jDcRbqf1+9CrJfeacn3tSV97wrOi7D4mQ5/HgD7RUDzjar928cLtiG4R0u4P6jL3xpI/+TXkOTudygazHnogmrG3YoVeKzqp32Qfer9+KF6JIaCXpY9y6xapzRdUf979qkvVoTTyeYw99Lmitg4keM1qJyXH28JNzZ5XeFDicqh70H4fp49e3YO+Wt/zp53foL1AygCyzO3Qvdd6GgKGu5Z8g+/2tMFmA4ZGKgXkTX+6Gfr9IyV5O7tZD71chEpcch8diieVuBzqgkwhlN0bg8ISl0M9z2U6GM9surKUal+0DOizKf1PlbbHuiHDr/fljmYA5u0EuZpy3+LTV5MY574Yy2nlwuGeVl/G82jk78Nht5leI9MhP9/s559Jhr7DHw3oB/Yshc1mUwOoYh6MF73HsDbrLZM1VaVO6wJ6TXJI3ktYda/SphkQGY/T0EOvC+id+h76UkOGPt22SGmApkUhXrub9ji2aNr00s3Q745ccz7dtC86y8SwOHbggGoAwMa6XPTQ699nVi3WFAoG9J2kqqoKVVVVpv92yy234IYbbsDcuXNxwAEH4OSTT8bixYsxfPhwAMCQIUPwwgsv4OWXX8a4ceMwf/583HrrrQm/3p133omePXti0qRJOO200zB16lQceuihln0/6WbooyU+StIyQxn0u9UMfbRcP1qi7oysEIcvKFaU3csMfaTFKa8l9wn3oY/J0OvL6qPb2ymmw+Qk2YsmS9LTWQRR96G36W+QZRVAvAv66q2NeH3drrRLS+XzeUwy9G2+8PA/efI2Zuj3j2R5v63TZ+hlhrrc7UCFx6krOwPyV3KfSrWK9kJlVoEihFAXnGTGdljvcBtBvMF4Mlg0ZujdTrv6c27WVA2Y9WwDQE3kpmN3iw93vLEe/+/tDQCAP546Rr0RUwf/pXhjK4fbyEz1bkNgu6GuFS+v3F4QZeXpkEHSDyKv2boWb9x5FOqAwnL9gkzfAhqM16ye76I3q9GdEzILbtVhTFlMQc9nhl67kGfc/jGZ1Vsbcf7DH+P3L6wBAN1Ueam3mhn3Wvp+SZ6h1wf0vSvcsNnCQUKmE/fV/vkyV9Y96WbbaaoD9zLsoZcl4XJoqvYaVay0U+7ltdKaHvrovZAcYphtyb3M2Hqc1h4rEDsPxIzLMOVeez8jE1XyNWgsuY/X/55M/x7R63uyoXgAsE3zM06UoW/3B/Hsp1t1LSuy+uaL7U1qwsC4W4Qswe8IhCyftSTfy/L8nUpLbzHhULw8SZZBf/nll9X/t9lsuPLKK3HllVfGffypp56KU089Vfcx7fZ3s2bN0k2+HzZsGN5++23d4y+//PLkB54iY9CT6lA8IHxBMA7V0zIOJ9MGQC2Gm4pStwMt3qBFGfrwBWVwzzJs2dee15J7s4uCPKH7gopuyI68oNps4cxFmUkPvdnv46bTD8SpB/fHD/pWYto976X1M1Mz9IbdDFxOO+CLfyG4+PHPsLvZh9lHD8MN08eY3pSFFIFPNu3D2EHV6k2X2fchM9utvqAua21chZbZzk172xAIKepzRPdKD9/wRndPCEX+m5+AXj5/vAEuQoiYrRjb/SFUl0aPq7kjqP6M5CCdYb3K8cGGemyuN9+LXh2KZzL1u7LEBV+rT9dHX6/2z+sDSFmeeuMra9Vqj+unjcbso4erj6mILFClkqFXlOh2WHKxSQa2MsNx3Qtr8PnmBgzsWYrDh9Ukfc5CIX/ew3tXwGG3IaQI7G31xww6AzQtFoY9j/tUefBtXWthZOgNPfRAODu6vbEj40n30R767AP6xnwE9LoMcerf89L1dfjV45/DF1TgsNtw2sH98buTR8c8blDPUtht4YWDPa2+mB77TBl/d9prVo8yV8wUelnmvrfVj7oWb9y9uhORCx7GrF8mKkpiA3r5809n4J46hDYQwvbG8Ll2oBrQR69RxUo/FE8GyVb00Mt2HKe6MJLt1nXqlPscbFtndi4zUofimWTo5X2tfA2Wuh2613mmGfr+KUzKdzlssNvC1Zrae7dQgireF1dsx/+9vBbnHzUEf54xNnKtCt8jBEICH2+qBxDbQ6/d0q/NF0J1mXX3V/J30KvcjaaOALetI8pE2lPuNUFSsj76mJJ7Tbm+zGjJm4lyw56w2ZA3DzIgrG/NR4Y++ZR7IDrcBdCXvNls2gx9MGGGfmCPUpwxfqC6gprOz0yWqTkMffnygmW26u0PKmrWcMEH3+N3z68xXaF99YudOO8fH+Gvr32t+1xAH1xrh+Jpe0+N1SIDe5Si3O1AICR0+7LLLJG88dROetV9zRyX3CcL6L0BBcb1EePvSvasV2oqDeRgPLPtYYQQmpL72Bv8qlK5F300oIlui6e/2ZUZe0WEB1PedtZY/GryCN1j0umh17aUDOtVDqfdBkVEv0cA6iLFRkMbRaGT7//qUpe6p/zOJvOb2HrDgEKpr0Xbg+WDtmVK0s5k8AcVdX/nVEW3rcs86JOZsbxk6DMouX993S788rHP4AsqmDKqFkuvnYK7f3qIGkhqeZwODOoZztx/tyf7MtemjgDafMHoEDA1Qx/9He7Xu9z0c/uk8doMhpSYlhP588mmf14y2y4065L7hmjJPaDN0BdvQK8dipfo+p8utfqy1JoeekVTxeexePEBiL6O4u1BD0RL7v3qwkL8oXjhHnpNhj6DoXgAdLsCxMvy22y2mFZFIHGGXt4fy9L5+laf7j5F3kcZ30vaCsAWn7XnV/k+k/d0LLknyoAxiEoWBGn/PVlZTHSrEbvuv76gEi1zivQtyRNWthdQIYS6D70s2c5LD70vQcm9ZtFEG9AFDIFniSZDL/dYdTvilyfKjL4/pKR8IY7XQ5+oL01uYwKEKwleWLEN/3hvU8zj1u8Kl8Z/ubNZ/Zg/FBtcywtnuz+k9piXuOzqNjBSvEn3DZq90sOfqy+5NxvElwvye4q3mqzNzleo37P+9a1OuNdkvYb2kpPuY2/imzuC6gXXbF9us0n38TL05x4+GNPH9se8Hx+MZb8/Dj89YkjM85mVt8Yj37t2W/j9LI9PTroPKULdUzvbnsquRjsUs2+1LJ2PzbQrilArTIz7HtdGdvsw+7yuRAgRExQC2r3oA7j62VU48tY31R7xVDQn6KFPVXTKvXXn/Hjl7trJzKmU3O9q8uKKp1YgEBI4ZWw/PPSLwzDYpNReS13ci9N+k6o2XxCTb38HJ921DFsii2pmGfp421H1qYqW/ydz/Ytf4Ki5b2HNtkb1Y/vUDHrmv1tJ9jq3mZTcpzUUzx09J6s99DJD79bPeSlGugy9hWXszd5ohn6AZpvBTGkTRx6XQw2uA0kSSqlSe+hTKLmXTIfiyQy9y6F7HWaybR1gyNAneA7TgD7BYof8HcvXfLxFOrOF1UqT6phMCSHUxFCLIaDvbiX3DOjJEjEl90mG4tlstpQH46k99A5DyX1AUU/6lZqSeyD7bWLa/SH1QjWyT3ioWn566KMXMSO7Pfoz05bHy4ny8mJRptmHXi1VTxCUald+Uy27l1/TOGRKHYpnUqrVEGlhqCl347qTRwEAPtiwN+ZxMnOs7ZdTh+KZZOgBYG/kd2Psn5dGRgbjfavJ6NYb9jOWCyb5ztDLBap4GXp5oxAeRhf93WrtNZl4PjzSQ7+5PnbrOvkz7lHmMr2Qy9dfSwo99Pv3qcT9Pz8U5xw+OG7rTEVJbDYsHm3pos1mU7ejlH309W3RTEDxBfTRiiN5I2a2ZV+zN6BmT4ylzelkQTtTRyCkLgxq38vyJnbF5gYsWrMTioBavpkKuXBoLPVMh7wJtSpDv2JLAw688XU8tGxjzL+lW3K/dnsTAiGBEbXl+H8/PSSlBUc5cT7bgP77+jY0tgewvbEDCz78HkA0MNZuBWbsn5fSmXS/LrKI89n30e2tGgxVVdmoMCmHzyhD74qek+Nn6Iuz9FdRhHoecjls6rVSJhKyod3CV/6+W33BjPuutfeZJU67muTI67Z1hopGbZJGzdC3RXvoq3Xb1mU4FE9TtZNoUaDE5DySaCiePxLs72zqgKIItcXL2Bpg1vqU7ja2icxZ+Ckm374Ubb6gei6VbZTdbds69tAXkba2+Bdrh8OBkpKSlB5rt9tRWlqa1mPljbwS8AIC8Hs70ObUv5lsNhvKyqKZBLcIoMMfwL7GFvR0i7iP9QcVKAEfEPSira0Nir8Dit+L9nYb6hubofi9akax3O2EEvChobEFbW3mZX/l5dGPe71ehEKxF9tt+9qh+L0oLSvDoMjFua6hNeHPoqysTM0O+3w+BIPxT1ZmjxVCoKm5FYoi4Aj51a9VWloKe+RCUO4EOtq92LWvETWe8M+ssbkVit8Lu0eBoijqFlCNLe1obmkJ/1vQEXPsJSUlcDgccDvssIsggoEg6hua4VRiM7bysQAQCATg84Z/BwFvu+55bQEvhBKCP3JBDwQC8PvDF6jtexqg+L2oqrJjXL9SKH4vvti6D0II2Gw2BINB+Hw+bKsLP25nvRcNTS1wO+1oa2uFCAXVG4ZgMIigzwtb0IeQIrBtd/hzXKUCbW1tcLvdcLkiW2CFQhhSaYfi92Ld5jq0tQ0AAOyqb4Ti96I6cm/ocdkhlBAam1vQ1laFlpbwz1W+7gDA5XLB7Y6UmCsKOjriB5SpPlb4vRDBgLr4IoRAe3u0731PQ/g1XuJxwwMFIhhQWwzkY7dHfmbVTkU91hqPgAj50eoLB+O1lR713zbtqofi96J3T6f6Me05oqrEBcXvxZ59TWhr6wkA2Lk3/POqcITQ0dGR1jkimqEPoL09doFBstls0WFbHifa29vR2wMofi++37UPbftVYfPupvDvxaZf9Ono6Ei4c4f2fZ/OY+OdIzJ5bKJzhD+ooCPye3eE/Grws6vZG/PYLXXh93VViRMBXwec9ug5oqbUFn7/7Gk0/b1ozydy+1QjbyCEq55ZhRF9e+KmGWMTPlYyniPk+96Mx+NRf882JQgR8KItGFmQtAeg+L1YtGIThABsTpcaiMpzRDxut1stuS9z2RK+Lo3nCK83unDiQfgY9jQ2o62tTfdeNj7WyOx9P//NL9Ha2oYXPt6In0/op3uszN4KoaBuX1PcY3Y6nfB4PNi8L/z+2a+HEz5vB8x+GvKx4ecVGFgefk2s37YXbW1tWLW1AX98eS3+d/oYTBrZJ+V7g+17m9T/DykifM4V0WtVmT2Iho4ABpTbTM8RPdwKFL8X2/Y06L6O8Z6jvb0d+5rC570NO/aira0PgMg5O+DV9RYnO59o7zm073s3/FD8XtRHfseAPkOf6jmizO2ACPrR0NSCHXuboAigpyt8HvaI8NfQLtpkc47I5rGpvO/TfawvGIJQQrDZHeHF9lAQit8Lb4fd9HWUzjmiSbaRlbjgtodfNwCwp7FZvceRPB4PnM7wNSbeOWJfsxeK3wunywWnI1xyL5QQ2tvb4r7mE50jYo63LXwtqvA44z42GLl3tTkcsDlcKHHZ1XOEPeiD4veiMfIjcYT8sAd9sCkBCLsLZW5H0nsO4/u+vb0d1c6Q+rPT3ssYH+uKvFa1Wlpb0dbmMo0f2trC90c+AN/v3ofNkXuwQ/brgzU7O9TFUKfwo61N//4ssYXPr3ubWgDU6J43HrNzhKIoeHfdNgQVgc827ERjc/i6WOmQc5BC6mPjnSO01++CJyihpqYmAUA0NTV19qEkBSDun1NOOUX32LKysriPnTx5su6xvXv3jvvYww47TAghxMotDWLodYuEo6pP3MeOGTNG97wlfYbGfezQoUPVx/36qRXC3W9k3MfaS6vEnW+sF0IIccE/PxaewQfFfWxZWZnuGE455ZSEP7ejbn1TfLu7RQy9bpGoGvPDhI9tbW1Vn3fmzJkJH1tXV6c+9rLLLkv42E2bNqmPHTrl3ISPXbt2rVixeZ8Yet0iMehHFyR87CeffKI+b98TLkz42HfeeUd97H333ZfwsbU/uVEs+yb8/S1YsCDhY3uf8QexdV+bEEKIZ599NuFje51ylfjL4i+FEEIsWrQo4WPvu+8+9XjfeeedhI8965LrhBBCXPTop6LfBXcmfOyNN96oPu/atWsTPvbaa69VH7tp06aEj604ZLq45PHPhBBC1NXVJXxs+UE/EkvXh3++ra2tiX9mBx0rhl63SHyyqV4Ikfo54rrnVwubyxP3semeI/6xbKMYet0iceW/VoihQ+O/78eMGSM++HaPGHrdInHCHUvFmDFj4j7WUdVH/PCvb6nHcNhhh8V/nfXurTveyZMnx31suucIrZ/85CcJH5vOOeJvr3wshl63SPzmXyvSOkf8/JdXJHzs2rVr1cfeeOONCR87cOZdQlEUIYQQ8+bNS/jYdM4RixYtUs+rg864OuFje5/xB3H+wx8JIZKfIxYsWCBG/u+rYuh1i8TCp19I+Nh0zhHz5s1TH/vJJ58kfGy654gz739fDL1ukRh4yT8TPvayyy4L/85eWSsG/frJhI+dOXOmegzJzhE/+clPdK/hRI895OjjxdDrFokfRH7GVp4jtBKdI1y9hoiH3t2oPjbROUJ7HyFE8nPEiOsXi6HXLRI7GztSPke88/VuUbpf/OcFoN6fCGHtOSLT+4hrr7024WPTOUf0u+BOMfS6RaLDHxRXXn9Twsemc44Y/NM/iaHXLRLf720VjzzySMLHPvvss+rzJjtH9D/9aiGEEP9etV3U/iTx95bOOWLE9F+JodctEh9u2Jv0HFF99Hli6HWLxHXPr056juhz9E/E0OsWiX99vDnpfYQ8RwiR/D4iV+eIEYceI+Ys+EQMvW6RGP6HRQljjYMmTNQ9r1XniAHDRqpfX1GUhOeIQpBqHMqSe7KEsYc+Fal+RiqTKmXJfaZbe8TTs8ytljFbvbd6JszKo41kT21HGn17yYYYpiudn9Xa7an3x+ai/F22aaTys82ldMrDUh1gKMv00i21zXaPZ6N0eujlY1IpMdzZ6E17r9xCMaQmnDn4cGN9Wt9juYXnwJAQOStbNNuLOZ5Uh7kFQoraupJpiWq+pVuOvWWf+a4V+eCPXIunH9wfU0bVdtpxpDOFPlUC0SFg6Q3FS/46K+aheJLbYY8ZkpsNb+R9XFniipmLkw15r2P1PY+ssEvn2pnKuU9Wv5YVyPnM7bTj8OHhrHuynUZCOdp2VraCGqf2FzubEIW1ke/999+P22+/Hbt27cK4ceNw77334ogjjjB97MKFC3VbuQHh0pxEZTNGzc3NqK6uRlNTU9x947uKziy537inFT+641215H7tn6bG9Fcby9+Ou+11bKxrxcLZh+PI/XrFfeysBZ/g7bXb8OcZB+LHhw7C1vp2nHT3MpS5HThsWE8s+2Yvbj/vcJx7+BBc8+xqPPfxRlxz4kgsXrMTX+9qwXlHDMYfTztQfe5USmT/vXo7rnv+C0w+cBAenX0EfvB/ryHg9+Gdq49Vh1UZZVsqt7GuFafe+z6qSpz4+H9PUB+rLX/71aMf4bXV2/G/p4zG+ROHAQA++m4vZi/4DCP7lGPJ70+CN6hgzB9fhwgFMHfGGPzhhS9w6JAeePKXR+mOQVv+Nvm2JdhU14wnLjoCE4bGbgNmLJWb+re3sGFPGxbMPgxH7ddbfdy5Dy7HF7va8Y+ZR+CkA/vpyurmL92Ae97agB8fOhB/PnMs/velL/DSmjr85oRRuOakUQgGg9jb1Ioj/vKW+nx/PvMg/PjQQfjjK2vx/MpduHrqGFx5wki1rO70e9/Dt3Vt+PmRg/Hkx1txyJAeeOqXR8WUyrW3d+CwP7+JjkAIi3/zQ+xXW4GfPPAh1u1oxkMzj8DJ4wbjd8+txrOfbsaVU4bhV5NH4C+Lv8QTH23BxccOx29PDPf856Lk/j+rd+C6F9fhmNH98cRFR8aU3P/3i1347bOrcNjQnnA77Vi+qRF3//wwnHnIIPWxlz25Au98XYcbTx+Dnx4eHUp3y+Kv8PSK3bj8uBH43dTR6nv5j6+sxXOfbcOlU0bgNz8aCUB/jvh/b32Lvy1eg7MPG4ibzwiXXB9921vY1xbAS5dPwpgBPdI6R7z1bQOueGoljhxegwW/GJewRPa/X+/D1c+uxjEje+PB88Zi8ZoduObZ1ThsaE88ftGReGjZRty15FvABthdJVh+/fHoX11a8CX363Y04ScPLEefKjfe/d3xcLpLcMy8d1DX4sPfzjoA0w7sG/4agRAmzX0bHYEQXrhsIsb0r9adI5paOzD2j68CAD753x/FDNhMVk6rKALH3v426lsDsDld+OyGqait9Fhecr98UwN+8c9P8IPaUrx0yZHqv737TR0ueXwFAODXx++P+5Ztht3hwFc3nwynTSQsud/XoeCYvy2Dw27D1386MeExJCqn/XpXM868/0PUlLvwwR9+FLfk3hsI4bA/v4mQIrDkt8diUE0ZXC4XXl69G0N7leHwYT1x3gPvYvnGfepz33zGgTj7sMEAwueI4+58H9sbOyCEgjG1JXj+0kmmxytLZH90x1JsqGvFwz8bi0n79074WADh4YOtbZjw5yXwBhTccc44XPPsagDhORuvX31cyvcGc19bjyc+24lLp4zANSf+AGs312H/PhWmAZfZfcTqrQ346UMfY0CPErx1zZS4j92+pxET54avAy6HDSv/eBIcdlv4nL2zGQt/+UMcPzr8fsi05F5e44/evxcennk4tu1rx9T7P4HHacf6P09L+RyxdnsTpt/1NkTksRNH1OCRWeF70vvf3oD73tmAn//wB5h71li8+eVuuG1BTBjSI+7zFlLJ/e4mL467+wO4nE5suPUUfLGlHtPvXopeFS68f92PYh6f6jmioc2Po//2Hmx2B779yzRACeHoW1/HriYfnrtkIg4aWK17fCol92u3N+Hs+cvRv6YCH//fVLz99W7MfuRjHNS3FM9eYv6eS6fk/vC576A9aMPSa6dgcM8S08e+u74OlzyxQi25/9Xk/XDd1FHo6OjAgvc3Yd7r69XHXn7cCFxx/Ej86slVeP+7Rjx/yUQcOqRH2iX38ufZ5gtikGZ4pvGx59y3FB9v2qd7vodnTsDR+9eaxg9/eGENXlm1AwBwzUk/wIotjXjn6zr8acZBOHxEP5x67/sYO7AaT885JOY4r3t+Df69egeum3YALj9xjO554zEruV+ztQHnPPgRAGDKqFps2tuKzfUd+Oesw/DLp9YCCMci9pC/oEvuU41DC2PJJ+KZZ57B1Vdfjfnz5+PII4/E3XffjalTp2L9+vXo06eP6edUVVVh/from8TKlb6uJp0XptWPlRl6u6sEdhtQVWk+FEerrKwMdncQdndJwq/hDyqwuzyorqxAeXk5eoYcsLtLELDb4BUu2N0l6k1r2f9v78zj5Cirvf+r6nW6e9bMZJZkspGdQBISCGGVfREEVxQ1GhFE5b0obhevr7i9l+v7Il5R7/W6IF7Fq+ICLogim7IoEAiQECBk3ybJzGT2mV7r/aPrPPV0dXV3dXd1Ty/n+/nw0cz0dFd3VT/1nPM753e8LqgeHyKKB3tG4lC9fkxqnozPLy9SMuNxN1SvH60BL1RVQVvQiyMJDROa297n4fOJxdLuY+OuCFSvH81NDRlfo6M5CNXrx3jCOA63bwKq1w9/IAhVVRHwqmjwuDAJ4FhEher1oyEQzHrcwQY/VG8ECZcv5/vzeDyAxw/VG0djqDHl8Q2BABQ1bBjleDzihjieSJ6rzhktCAaDOOm4Lty7ZQBbDiT7Mt1uN8b0c0v0TykIBoMIwwPF5UaDVxWPdbvdaGpqhDoUx4h+vkKh9PfpcrnQ2BjC4tnteOnAMA6OazhhXhAjseRrdbYmr1W/xwVFdQFu/TPw+PXnDFl+Jqqq2v4eZXtsU2MIitsjlEVFUVIeG3d79esiBLdLheIeF6Z49NihaPI8z+5oTfnbhd1tAA5jd3/yxk6/o+tiXleb5XE1+ZOf55TmRTAYRDyhYTjmgup1oXdmKxoaUr83uT6HkC85uWAsHEvZYFsxHj6SfE6vG4FAAPO72qB6/TgaTr7OaMydco0cHJpEd3NDys0+F/k8NtMaUexjzWtETJ2E6vWjpcm43t5z6lzc/uBr+Mkzh/C2UxYAAJ56+TDCige9M5uw9rjutHtac6gBoVAQE5E4wvCgK8u58Xq9IlAlNu05hmOR5LkGkueso9Fn+dhMyN/7TFAPfXMwdf1f2NMO1etHk9+Nj154PH78bB9GpmLYMzCBJV2NYuNuxb7RZLVPS4PH1jEQLpcr5Rh62pPfj7G4khI0mR978PAoNLcPKoDXBqNY0hvE83uP4dO/ehEuVcE/X7wUT+9Prs+XntCF+1/qw+vHoimvRT30iqJiJObK+l1KJDTsOzYJRVGwZHYHgsHs36Xk8ypobAxhQfcMvNI3ins2HxXfn74JpN2nsr3+MT3+6gj54HapWLWgK+NjzQSDQcztSn6uA+H0z1UmonjEMcYBDEdV9LYFMBp3QfX4U3roc60nMvL3vr2lOWV/EB0yRkaaH5v1Ob0uKG4v6J3M7TTW1LaWxuT9OhzDkZEpfOgnm+B1qXjuf1+QMoY2E4XsI+yQz3c522M9YSXZP6+r3cEGH1SvH3E19z4p2/dzYCr5vA0e/bldKhpDIRyZVKC5s+9RaG9gRvWGk3shX/K9uFUViupCwp19/0mY1wiZRELDhO4BEvK7Mz62sTGUcu/yu11ib9DclPq7lqbk3uq2q9bg5UPDWDO3NW1vkA35sbn+RlEUhEJBqF7dw0VVEE9o8PgDln8r748AYCCsYCiiJPcg7S1YMasZP77mFMxps/771ubk9yJsCkHziUsCgQCmMCaOYe9IHJOaF6pXQ/eMFvG4SCyBNhvrZC1QVSX3t99+O6699lps3LgRy5cvx3e+8x0EAgHceeedGf9GURR0dXWJ/zo7O8t4xPWD7G5tt5TJGBNW2Bz6eELDpr3HABiOxlRy/2rfmPg7eZa2XchtmNxVyTVzIMNYoZ1Hx8S4s0LJNoOeoPm7g5IbMo1dcUufOzmR0wzrbC73QOosXTtQwJ7mcq9mHltzTBgOJc/V8T3JLPtLB0ZE9tTs6E2mZ6/oo+xo4gBBpdz9o9ld7gFg7ozkor5PL1kdzDSHPmZyuS/X2LoMbrvC5d7nznieDulu7z3NqZvQeTOs3a3pc+6yGFkHGGPr6LtzbCICSnAXMgM6nzE1NMaLSqa7aHzbcBiJhJYyjx4A9h/LrFhUE1bf/3edMgdel4rN+4bwvL7W/WXbYQDA+ctmZgyI6PvfX8CoTXp+wgknYitGpWkGMos7G/HvV63Cf1+zDgGvG/N1x/Rd/WNpz2GGDPGaixhZBxhBXSyhYTzLmrhnwKikofFqT+1MOvLHExr+z/3boGnA2rmtuGRFN4DkeiczIZXcD+VwuT8yGkYkloBLVdDdYj95BBhO90/vNlS4cCwhnN3tcFRfZzsa7QWOZjr0+2g0rmV9XfN0gb2DE4gnNDHNw8k59LQm0bjDXGXCZsxtfrNajOAhJM2h39U/jnhCw2Q0nnIOqhkxRUd3jHdqtvuImEFvrA3BDCNb7UL7M9p3GsdafEuR1WhZK9Jc7qX9is+0d6HrqqvZj3OXdpZcjJSPhfYF8Wxj66RWrAPHJnFYn1xBZq5nLuoQo3PN0NSbYu8tQ9Iasu/YpLhumhs84pq007JbK1RNQB+JRLBp0yacf75RiqyqKs4//3w89dRTGf9ubGwMc+fORW9vL6644gps3bo16+uEw2GMjIyk/MfkRg567PY55zu2jsZ7yQuPpgFvWtmDk+Ymnbipn+0FaXZtIaOHBvURazRCifroB8asS7nO/dpj+MQ9L+T9OjLGyLrMGwoKPgelxIKYly7NOKUERJ8euGWbQw9I4/5sBvSZ5tCLsXUWNwIR0OvvYVl3I1QlOXKNRmz1mQP6oQlMRGLYcTS5mT9+Vmq5EY1hoY1etp40Cuj3DExgMhIXTvFtGebQl2tsHX13whkSQnROQl635di6SCwhglzzJn+ePn96z8C4SJpomoY9A8kAf84M68x1o2nM3MCYkYxxF/B50GgrOzfwsbAxug1IjmFTlOTmcXAigqP6eBxaP4qZTVxJGAG98f3vaPThspXJQPBHT+5GIqHhL9uSFQwXLM+sjs4I6glIi/UqFw++nBrQj4adGd1mxur9EleunoVVvS0AgAX6NbzThg8ErfXFjKwDkolB+t5nu3/I/ewv7EtWGj2jl63Ok75bV66eJcqEtx0aEWt2JJYQQREAjEfiWe+H9L2d1dKQdw8wzaInaMN7MI/RjxTQzywwoPe6VbHeHs4yi978me8eGMe2QyOYiibQ6HOjt614xY3WF0qYDhca0HtSAzgaWQcYQehYOJYyYvPx7UfzP+AKxEh6Oxskj4jxnca5oHtfoSMA6e/oebxu58bW0XO7pdHCVqTPoVel/+8y/a68nj70em5VwUx9VGy2/nP5c9t/bFLswToziAQy8tSbYpDHfMYTWop/ijzeul6omoC+v78f8Xg8TWHv7OxEX1+f5d8sWbIEd955J+677z785Cc/QSKRwGmnnYb9+/dnfJ1bb70Vzc3N4r/e3l5H30etIi9iudRg89/kMl2iL6TPZQT0Hzh9Pi5f2YM//NMZuONdq8ViRIv1UWkGcyEBvTHvNnlDmRGkgD5dQXlVV4/tGjdlQp5BnYlWi4DeyJIbn3t7kBT6qbTfWUGB8YTNKoN4BoVejJWznEOvf6Z6kiTgdeM4XX2jsnsK6GkTv//YJLYdGoGmJTeRNGNbHLd+YxiQZrdmYo6+Cdw7OIEBfW6912WMVMsU0Bdi+JgP9PyRDBuLMaHQu9DgIZXCOE+HR6agacnN8gyTWdSctgBUJRkoUNB/ZDSMiUgcLlVBb2umgD553dM1SYEhJYryJZ859ONCoaeNlyoC1L7hKfHdPkEPkA4MTZ9JmJNk+v5vPG0+AOB3Lx7CDf/zHPrHwmj0u7FuQbrXBSESkBkqijKxq38crx8Zg1tVsHBm8rtZKoVejCfMYSJFgeguG+vr8ERhQZkZRVHQpD9HNtVcDui3HBxGJJYQc9PveNdqfPLCxbhgeSeuXD0Lc9sCCPnciMQSIkEpm6XRUjqURbmm15tTQEA7v91og+tp9mN5dzI5WkhAX6hCD0iz6EczJ5vSFPqBCTytJ0pOmtuadt8phKBpFvZQgQG935t6f5glzf0WCn0kllJJ9PjrA/kfcAViFhMoYI0ltIw9y3YYmSRxQ1LovakJmHyhvwvp9zaRfHDA9JMC05DfnVVJNyfD5f2KeQ68nZYMJ6HkQmeTX3w22efQG5/b60fHEEtoUBTj3pONfCr2spGpyifocwmhJNO+qhapmoC+ENavX48NGzZg1apVOPvss/HrX/8aHR0d+K//+q+Mf3PzzTdjeHhY/Ldv374yHnH1IquY5ixkJkQGLceCSl9In5TN/Pzly/HNd60WZduE1SJIN4d8GDSpyRTI9I9bzDfVN835uMpbYafkngKbVIVe71e3KLnvsxnQC+XX5gJLmVu3y1qhtyq5M3+mAIRqRU73fbpqs3Zeqzh+Ur7MRjgAENKDPtoEZyu5J1Vn3+AEjlEFRtBw0KXAmlpA6Loreck93XgyfA8mpNJko+TeOE8HRLm9P20z4XWrQjGiPnpKPPW2NmR8b1TqOKJfk/369WZOGNiFnNcj8URORcTK5b5bL7uXA/qVuoJbSoX+idf7ceq/PoQHthwq2WsQFFg0mko2T5jdjCtX9SCe0HD/S8nk9RuWzMz6nS5UoX9IL7dft6ANPXpgQuvS33cOYM2XH8QNP30OLx8svnLNTgITkAJ6Gwr90GTyOm1xoCSbnM7tKvQTkTjuf+kQRsMxBL0uLO9uwg3nLsL3NqxFyOeGqipY3pMMomm9o2vd51ZFNdixLAkEahfKVFmTDVmhP31huzi/dgP6iUhMHG8xAT397ZE8FPo9AxN4Ri9TP2V+5kRWPgiVMBJDIqEVrNAn3d2NdXe2pNAb99W4aB8DklUaR7MkNKoFc1uaHLDKe4BvPbwd59z2KF47PGrreUdFyb2k0IvkSGEK/Zi4j5qqCRxwQac1Mlu5PZBe0ZhNoc+2lykF9PpdzX5xnFbCDCHfxynwnxH02qrgo8/JToI/G1bJVq9Lhc/tMgRDVugrj/b2drhcLhw+nFoOePjwYXR12TNm8Xg8WL16NV5//fWMj/H5fGhqakr5j8mNqioiqLdbCkgBeqZSY0Io9O7cCxypejIjk9G8s8VmNXlGKLNCT4FqoTcaYtSizMxMq14xQC0BgLGwpgb0qT3/uc5J/iX3ydd0KeaAXlfoLYK2IdHGYLw/EdAfTFXoT5jdAo9LQSyh4eFXkiXGK3rSv4vm0VTZstrUz7Xv2ITRixk0Nqb0t6TQRyskoB8TpYJuy/NEPgk9kjIkQ330u/WAiAIjcwmuTFMGhb69QIVePi+5rjGrwJb66HcPjIskAwX0B0rYQ/+Hlw6hb2QKn79vq21/iUzsG5zAO77zVFpJO0E95VYB7tevWoWfXLMOa+e2wuNS8J51c9IeI1NoDz15VaxfMEN8/rQR/utrRzEwHsHvXzyES+/4G269f1tez22GntecwDAzv4CS+2IVevk5hm0o5vQd/v7jOwEAa+a1WW5sV/RQAjO53lHvbdDnFgmEwSxVFXuKUOgXSN/3MxZJAf2wvYRY/yhVQak5A5dsUEluNoWe+tkp+N89MC4C+pPnORPQ0/dM05KVaeLaydN/QVEUBPRgSFWMtQrIXHIPAE/u6C/42CsFc3WgNyWgN+5nf9zSh13947jxZ5tt9TSPWLTjUCBuV3QwIxLFutLvZA/9WAY/EDPmfZhf2tOmBfRlV+j1gL7JL419y1Zyn/47cwVlJvIZY5sNUujlMZMUA9ht6a0lqiag93q9WLNmDR56yBhplUgk8NBDD2H9+vW2niMej+Oll15Cd3d3qQ6zrqFNjd2eY78NhT6R0ITqYme+Z4Mn/TGReCLvWcrmfu/2LIrX4Bgp9EUG9KIkLLdCf2wigoSeFY2JwFPqoTcpqfLvrBDKr82S+0ymeB5VSfk9EYklxPtrkxV6PUjfSiX3umozq8WPbt3gjUymjrdQ6M0BvblsTaaryQ+PS0E0rmGrnkCQPye6HskULyx66Et7Y83VekImQCGfS2Tt5fNECnV3s3VAT20N2/qSqiCZi8kluGbouzYVTSrqlMiaYaOczgpZxcplHikHOQQp9BQIeV0qlncnDRLzKRnOF0oWHBkN484ndhX1XH/a2oendw/iZ0/vtfx9toSeoig4Y1E7fvnh0/DaVy5JG/NpJpeJZyYoodbd3JC26aI1kUqKv/u3nUVtyLL10MtQQD84HslpGjdkscErFOrDz6TQJxKaCOjPXZKcskPK+yl6hZGZFboHCK0/cnsJrYulKrlvDXpxfE8TZgS9OGtRh/hO2f3+HB1LXhsdjb6iDLpm2lDo6TyvnJ1c8189PIr+sQi8bhUnzk6/DxSCz60KJXI8HCsqGUTBl1yuDKSa4u0/ljx3lIh8fHv1B/Tm6kC5OlMOlOl+te3QCP79L9tzPq9Q6KW9EPkjFa3Q68/pdbDkftxmQG+uaEwpufek7l3KrdAv0lusVvY2Gwp9NlM8i0QI9d7nwjlTvOQ6sWaOsd6K85tBKPmfp/fiPx/dUdTrVipVE9ADwE033YTvfe97+NGPfoRt27bhwx/+MMbHx8Ws+Q0bNuDmm28Wj//Sl76EP//5z9i5cyeee+45vOc978GePXvwwQ9+cLreQk1DgYmTCv2R0TCmoklX30wKpIzsOOt1q6IvMZ8++kTCcOClTRYpBWYXdsBQ6CcisaL6xuyU3JNCH09o4vERi5J7s5Kau+Q+PwdZwxQv9XlJlTL3LdHCqyqppn/Le5qgKEmV6PDIlAgoOpv8InCg17IuuTcF9Fmy2i5VwWy9Z3zzviEAqeX/ooc+ktpDb7eFpFAoYZBZodd76L3WLvek/MzK4Hq9sjf5udF7ppL7+R2ZFXr5cx2dignPgUIVekVRxAYlp0JvUXJPqt5LekDf0egzSsKlzbjT0CYcAL7z6A5RuVMI5GGQqaR6xMb3H7A3ejWbiedL+4fxoyd3W65VlFDrbvan+R5Qm8r1Zy9Ad7MfmpbcoBdKJpd7M0GfG536RjFX2X2hfdBW0HMMZbi2ZMf5S05IrRLMpCLTGrb14AgSCU0EAkGvW7QJ2Cq5L9AU7hcfWo+/3HQ2WoNesb7aDeiP6C7WHQWuAQS1Pr2wfzjjY+j7vLynGaoCMWFj1ewWx8zCFEURa8zoVHEBPa3L5j1KUCoTp8TrO09O+jI9/np/UfuFSsBccu9SFdDyJCu4U9Ka/53HduDZHC7/1CYpJ/uCojqtyB56/Zxkaw/Ml1GbfiAe035JbiM1V6CWW6F/y0mz8bdPn4Nrz1wAl2qjh14/9/Ke265ZZiOZ5Bat0CfXSjLFBowKDKuW3qGJCD77m5fw1QdeKakQMF1UVUB/1VVX4bbbbsPnP/95rFq1Cps3b8YDDzwgjPL27t2LQ4eMXsdjx47h2muvxbJly3DppZdiZGQETz75JJYvXz5db6GmoUXdk0MNJuyY4uXr6iuX3B/XERI9WPls+EenYmIhI6WHVM6d+ugZGSqRTGi5/QCyv27uknuf2yVuSBRkWZfcpyqptnvo8x1bZwp2PRlc7inp0RLwQpVU/Ua/B8u6kqrVE6/3C0Wxu7khpRexNeBBT3N6wJpWcp9js0cbYQpuUxR6MbbO5HJfalM8T3bzlnEpwLUsuR/KXnK/ujd5s9t6cASRWEIERQuylNy7XarYQI1MRkXpdqEKPSC3dWS/iVuV3JOaSGXX7Y0+BLxukXArRdm9pmkiWdLZ5MNoOIZP/+pFfPevO/A/T+/Nu5SPemYzKbB2+zDtYPTQpweHn7v3Jdzy262Wpf8iodbsl4yLkscre2AcbyodLwS7PfSA/T76QkePWdGco4ee1PJZLQ04SVKIvC5VqLBmFrQH4XWpmIjEcWBoMiXIoFakTEmjsXBMfA8L6aEHkmsIJTFpvbBKUltBCSm7ZbWZOH9ZJ1yqgs37hkQbkBn6zDtC3pR17eT51pUPhSJXoRRjqNigBxGzTGuw/F2OxBNQFeDylT3wulUcGp7CjiKNdJ0mntBw3+YDtoMdwxQveQ9TFEUErbKCS1VvK3tboGnAT/9hXaVEjFqMrRM99AW63JvL4j2S+FBsYsVuyX0lK/RAMtmmKIrUQ59boZdH09lxuAecU+gpybx6TotIJNH9xKrk/u87B0RyMFvLT7VSVQE9ANxwww3Ys2cPwuEw/vGPf2DdunXid48++ijuuusu8e+vf/3r4rF9fX34wx/+gNWrV0/DUdcH+Sr0fovyYTM053euzQ2MXHK/aGZI3JxH8gjoaeMakkZfzGptgM+tIhJLCJWEkDdgdgNiK4yxddlvCqTSU3YyGrMI6IOpmdJcQals3mOHjGPrVOse+mMW/fMEmRz97oWD4lhbA56U8T8rZjVbKpNpCr3NgJ42xm1WCj253Jerh15ylLXyHqBrKuhzGZUUViX3GQL6uTMCaA14EIkl8NKBYRGIZOuhB2Sn+5gojzVfV/lgVV1gxbiFQk99qXQzJpWwp8UoG95+eBRHRp0zyBscj2AqmoCiAF+58gQAyZFu/3r/K7j51y/l3JSaoYA+kwI7ZiOhZxfh+WFh4rlbX1P/vjNVJRudioqNaVeTP824iNa51oBXlI5vOVC4Qm/X5R4w2kNyBfROJkWacySDxejHtgBmtzaIteTE2c0Z1yG3SxXVXv1j4ZRqFAq0zc7Nu/vHsf/YhLjvtAQ8WUeb2oVGXB4embJcd8w44XBPf3/6wnYAwL2bD1g+hj7zpgaP8AABnOufJxqlwMIJhV6+ZwHJIE2+RdL3ikqEcynV5eahbYdx48824/P3bbH1eKukt0co31LJvb7mn35cslVoJEcgZzW2rliFntYbuq/IraHZAlc7FFxyX0E99DIk1GRT6KmyYX67sTe3q9CbDSkLhSo/u5sb0KO3HIrzayEYPiFNlyhkpGulU3UBPVO5+EyzSHNBm5Js6vmeweSmyW5AL5f/LO4M5dyUWUGKOwXOQLKUjFT67UfGUh8vbdALHakC2Cu5BwwjN1LfrObQm0eH5DbFyzy2bngymtL3rGlaxrF1oozNtEhTENNm4ZK+Tg/o/6b3FHY1Jd3aZbXDPM2AMN9Ac2W1zddRm5VCTy73ZRpbJ2+GrFR6edNv5XJ/cDh7yb2iKEIx/N0LBxFLaPB7VHTlyKbTdTg0GcFrh5PXPI0yK4RiSu7N/gAUVNA18oPHd+GCr/8VG37wdMHHZ4bGTM1s9OH8ZTPxvy9bjrecNAsn6/3RZNZoFwqIhiejlpsYuwk9O1BAPzgeSdmUTUSMwOUZUzBBc8Gb/G4Efe6UYAcwAs3WgFeYu1EveCEY7zd3AEWbxlwB/bgNHxK75DLFowCbVC3q9z45hwt7mzQClb4LSYU+veR+MhLHZd98HOd97TH8+O97AABzHZjBDiR9YbwuFQkNOGxDrXIqoAeAN6/uAQDct/mgpTo6rJdcNzd4RDWCqgBr5pZQoZ8s3H+Bnme2KaBXFEWUACd/n3wvFPgP5vCEKDXDE9EUBZNc6LcdsudGb5jiGfsAGltM+xJN04RoQ59truomqmJysod+PGJS6KVK0my94naw2z5k9pdKcbk3l9xPg0JP5KPQywm3DpvVO2ZDykKIxBLiWmgNeHCcvjehfYNVBbBsRGlVvVbtcEDPOEa+pni0uGeaJQkYapK8aGQjIJXcL5zZaCtpYMbscG88X3LBeF0K6GPxREoJrV1TOSvslNwnjytVobfqoW81m+Ll6AMPWgSKQDJTfuZXH8ZV3/27+Jm8xpsVejoGs+IzKKl7Zkihp5sHBZqzpRnppAimHbdpqkEuhb63LXNATwkp8xz6UpvipQT0Fi0bQqG3cLkfnYqKwCiTKR4ArJICeiD5fVJzzHKmdpUX9w9jMhpHg8eVU9XPhh3jRU3TxE1a3hyZkw9GQJ88n2Sc+Nrh0ayqQj4Y3gQNUBQF15wxH7e/YxVufUtSrf/HrsG8jDBpskJCMxQoGbsmcXagtSuhpY726ZPKq7ceHE7pYaTSa6qGCOl9jqPhpDeInJSjXvDtR8ZymhyaoQDObpkqYFSG5FrH83nOXOQaW0eO85Qk/Nj5i/GmlT3YePq8rM9La87geETyx3BZltyTih+OJURFiHkNKxRVVcS5tlNi7WRAf+HyLjR4XNjVP27ZSz8stWjN0z/f5T1Njnw3ZIIWAX0hCv0Hz5yPy07sxiUr0g2X5cQkBfKNJn+K6WBkKoozvvow3vGdp8TP9g0mr4ODw5O2vtdW7X6Ge3zyey4HVC0N3rSfmdE0TSQW5PtNsFiXe1P1jnzMxc4qt1ttlG0Ovc+T+XflhoSauI2xdfPa5ZJ7e2uDbEhZaNm92ZeJWggbRUCf2kPfZ2pxsRpBXe1wQM84hlFyb6+HnoK7bM7FewfyMwEKSNnwRZ3Fldybg2JyAd1+xMhemw2TyqrQj6cq9B536k1VVhoKHVv3+pExjEzF8LKkxMmzSc1BIS3SZqMZOsdWAf2MkC9F+aVNpqx2rLCp0Jv70MyYr6NMJfeapkl9/85uIs24VUWUZVoF9IZiLbnc6+eJgrDmBk+an4AMBfR0zSzIYohH0HX4dz1YXtrdmFaRkQ8NNkrup6IJEZDLm6MGrytlo01BRY+pKiGhWZeZFwL15cuJJSDpp9HT7EcklsA/dg1Y/WkasXgixXHeKomZT095LtwuVQSI8uvKAX1CA57bcyztd116Ykjucxwx+Yp0NvnQHvIintDEqDs7/PQfe3HiF/+Mv20/aoyts/F+6dq2W93hZMk9TVkxY3acX9nbgjvetTpnj7nRDhFJaS8xFHrj2rBK/NitVrOD3LKSC+o5LdYUD0i+3wuPT3of3ft8etm9HFxfvrIHa+a24iNvWFj065qha3xkMio+66YCAvozF3XgW1efZFmBJiedqaKo0TQWdDrYdXQco+EYXthvJPb26SagmpZqCJoJy5J7NbXkXk4MkC9FNiPkg8NTODYRhVtVsLizUfzcKZd7WktkMaLY0XW2e+jT5tBLAb1bFX3gHpdiu9K1FNhR6Oncy2LbTJs99IqiGPeXcGHfgWOS54WqKnjz6lk4vqcJl52YrP4RJff6tWYeE8kKPcNkwZtnD725F9yMpmnYrfcpzrOpDAa9Lpwyvw0re1swb0ZQmKpQCZ8dcin0OySF3jwzuJjRdcYc6hwKfTBVybHKkgOphm/2Xe5Tj582+dG4JsrkZAU0o0KfMCv0ermuxYYHMFR6wAjoe1oasHJ2M9bObc2Y0CnUFI+wNsVLYHgyKm5YdkexFIqiKJb9XkDy3NJxBGWXe/0mdSCHIR6xymTSZUdpp+twkx70Le+2rpKwC/lbZAvKZMU4YDqX3ZIpIgUVZy3uQEvAg/ecOke0mZAbd7HQhtbcF6soCs5a3AEA+Otr9kZPDY5HIFcWm9e8eEKqTHAgoAeM0XX9Uq+g2QBNLrsXAb1+vRumeDGRkAt4XfB7XFAUpSBjvN+9cBCjUzF89jcviZ/Zeb8UFGVLmGqaZruX1Q7NupqYSaEv1HF+hii5D6ea4gXTE9yU5F3QHsQHz5iPJr8b5+gj8pyA+k7JhyMbpNA7tR5euXoWAL0NSAqoonGjlLa5wYPu5gb86sOn4dITnB83TGpe38iU+H46YagoI1+LlKRuEomE6VPo5XL/XbpyuVfyB9rVnzugN5viAekl93Sv8riM9oNsCj2tJ4s6G1MCXjtrQDbITI/WNUVRLPv9C3vuAufQSwKEoihCFJvOcnsAhst91rF1yd91N/uxbn4bVs5uztnGJ2P2aMmXYyaRaGVvC/7wT2fijEVJfw76LKn64skdyeQ7VaNyDz3DZEEo9DZ7jmlMz9C49YZpaMIoJ7a7aVIUBT+/7lTc+5HT4FIVkW23UjoykUmhl0vuqWzUHNAXmj0Ox+IicCtYoTcF1zMkJSXXOQlkMJyRFT26IcpZ27Q59Blc7o1yXevN0jo5oNdvCi5Vwb0fPR33XL8+Y3l4WkCfw0gm6HOn+AtYja2LxBIi8GkNeNLGyZQC2hCZNzqySaHscj+pVxEc0jfiVhMAZFoC3pQgPtsMeoKuQwrAM/kY2CXTNSZjjPFypZ3zLjmgb0yet8WdjXj+f1+Ar1x5glBGjzrkXiuX3JsRAf32o7aey+yoa65KkhMZTij0gBw4Sgq93idPa/XTuwbTfkcKfaPYcEUtW2bMM9XtQNVNVNrrdam2vl9yaXQmJqNx0Q6UrVrFLkKht6imKMZxntblZMk9GV4aLvfyPUX4DDR48LnLluOFWy7EWgeN4Xpsjq5LJDSRGHKi5B4AzlzYDreqYGA8Ihz0gdRqOif8JLJBQQVV4/g99q7HfJCrBmeJgH76FfpBaV3Y2T+GWDyRkvDLNIFAhpJdclLOXHJPnjR+j8sYVZwloN+qB/QrelITyPmO1jVj5c0ijjVWZA+9zZJ7eawfkN43T9fedBriAfn10HvdKn523am496On51XBF7KxpmdjKEcFpTEWOznF4MnXk8n3C49PjhgdKGIEbaXCAT3jGPn20NPmcDQcs8yQUo9iV5M/r34iRVGEI3ohpnhCoTcF9HNnBOFWFYxH4uLGZw7oC73ZyFlK2UTHCrNCH9FvRuagXQ5cc/XQZyq5p00+YARbctY20xx6c8k9fU4tFiX3QKp7sazEyufSiqDpxmfnOqHkkKKkBijy35JSYXcMS7F43daz6MnIx+tS4XWrYlOjacmN0kGbCj2QqtLbUejNZmXLe4pT6Cmgz9abKUoXLTZGcva/I5R6jQCGcuiU0z2Z4pkVegA4/bh2qEoyuWer/9ikBhwzJTFpY+91OxdQtIfIPFNW6JPHev6yZLnz8/uGROWNodDrPfSSQi/UECkht0Io9Pac7gfHIyIIJuwmL2jzl02do2tHUVLNUQuFNoryGFOiGMd5uq/0j0fE/SLkc4m1aGQqJhRrCm5lVdFJjNF12a/hocmo2NwXM+lCxu1SxTUmn1cRJPrcaT3HTkPB3X79O+y0Oi+/BiCX3OenTu44OoZb79+WtT0xX+QqoR1Hx3FoeCrlOqfqyGxQQln2b3GbSu6parHB4xKJxGz3gC0Hk+vJCbNTE8jGGpC/aJJIaOJeKrdAyKPriiGfVh8a6+d1qWlJa1Lsp1+hz+5yn0hoYj3wuNSc+zQrzKar+SKbtFpB3kfhWAJ7BiZwcHgKHpeCi/RWH/O9qBbggJ5xDMPl3t4Xu7nBI7KVViqIGAtURM9gIaZ4ojzctFB43aroXyRjvPSAvjCFXh63lCvLSQr9YM6Se0mhz7ExoiSCuWVAVujppiVnbc2HamR2U2+QtBExtzEQPS0NWNwZgqLk56TudqkpZWt2boQU0Lc0eFI+a7+UEKFrz25PWLGYy8MI2uiS2aP8/iYiMRFMdmdwuJeRA/psM+gJOdhSFWBpV2OWR+fGb8Pl3kpFIWSFvr0x/TqikTlOldyTatdrEdA3BzxicsDfbKj05qoBc8k9vVam70chyL3aBH2fT1s4AzOC3uQoQ92UjJJ33cIUL3kOonENfcPJ409V6JMb7lf7Ri29H8zQmjmz0SeSjXbbC4I2NvPCmMrrdiTwlYM7swcLJfwKcZxvFxMIwpIpnjvl9eh+JeZxO2wGR9C6cSBHyT1dv60Bj6NjPK3Kbosxp8sXWuNoHSXTNicJSQFkT1oPvb1g5tb7t+G//roTt/35VceOS9677Dw6ljaO105Ab7R8GWuzN0PJvd/jEvcAOyX35oowud0sX+PTiWhctFQ0+tK9hZzqobeToKRJQGYTPMC4RzbkEHVKTS6FPirt7+zu982I736BCv2xiewiEX2+kVgCL+wfAgCcOLtFeOJwyT3DZCHfOfQuVREbFavM8x7hcF94QF+IKV628vBFM5NBzXbHA3r7hlh0XNQaQMGzWYWfISn0dk3xYgktZXOeWnKfXHgTmjGD3rxxNlzuTQp9hjYGme9vOBl3X7MOizrzCxzlrHg+Cr35WNwuw3mVrr2uEvfPEyKgT1PoDYd7IPmdocdOROLSyLrcCv1afdxaR6Mv63kg5HLX4zpCRbvuBjJUgchk60WUA82AxYaHSu7N5e2FMDwZFRuNTNUPZy1Klt1Tb142+sfMJfep69ET+nPQOXICSujJSgRVFvU0N4jXelrvo6fvOlWlBL1ukXClAFauWprd2oAmvxuReCLFKDQT5Fx9fE+TMDizPbdYP98RyVPCDAX7TnkQeFyqqAAyJ4Qp+JldQEAvErJjqaZ4bpcqvnN0DzJK7kuzwZ+tX9v7Bycsx8cRVPXiVLk9YVV2O1TGgJ5enxIWpVToOxp9Yg2l82mnFTAaT+ApfX341aYDeYkT2ZD3LjuOjovvOF2Du2300Fvdf4TqrVcOkimZrNBnMsU7MjKFI6NhqAqwrDt1HyAnefOdJkTfM1VJ7Vv3ZmgRtMO2QyNiHRjPkog2Q3sMq/spleA35DD3LTXGHHrrtVauwCzUvC+k7/0Ld7kn4S1Dyb3wJYqLkayzWxtE5drgeMRyfGw1wwE94xj5muIBxpfRyvWZMsRzbY6ss6KYknurUh7z6Lq0gL7AbKNdh3sgdUMISCX3ZoU+ZF+hl0tU5bYBueTerNBbVRJQ9tmsNFOJsZULMDFnRgCnLWzPepxWBFMC+tzXHhksWrk10022/CX3xs1HxtgoGOdHVirIzMpOyf3xPc24/R0r8e2rT7J1TLLb8/FFltsD0nHbUOitAnp6j5lMuZwsuReKedBrmTwAgJW9SQXpFRszmylgoADZrNA/rqv8Zy7K//rPhFDopWRCnzSajtpcnt41iHAsLpR8SpyoqiICadq4ymuioihCpd9qo+ye1szFnY3YsH4uvnTF8bjl8uNtvRd5HGmmtqZR3S3Zif55wnC6T71/0AYxl3eFFTOkknuRhNCPmRJtdD+0a5RaKPPag/C6VIyGY8LXwAonR9bJWLVSjJQzoDfdbwtxuM/5Gvp7lIPefBT65/cOicTuZDSOe57d58hxyXuXXf1j4p5HpmK5RtclEppYT7pTAvrUKj2h0HtdxmjYDEm5rXq5/XEdobR11+dWRUVgvvss+b4iixCeDJVxuTg0PIkrv/0E3vODf0DTtJQKy1zQXsxqryJK7qe5h96l5FDoY7JCX2BAX2QPvdinZ9hTykbDVLU3s9En9qCxhJaXt1Y1wAE94xgUDPnyKMlrEaN60hV6GllXzJiepgIU+oEMPfRAchQeYDjd001R3GgKnENvdwY9YJTljkfimIrGM5bct0vH73VnL4vyuFRxIyYFVdM0Uw+97nIfzxzQU3+Y7FociSXEop0pm1oMsueAHRX5ouO78K5TenHjeYvSfkc3VFLoy1Vy782k0Ftk/qnsfjwcMzZUNgOLt5w0O2WiQDbk5FKx/fOAUUaY7TtCGyOroOzUBTOwYf1cfObipZZ/K0ruHVDoyeF+tkW5PbG0K/mZ7Dg6lpaIMUMBEVWHDJlGk9Es7jN01d8J2k0l91PR1KB9/XEzAADP7BoUCQyvO3XcJQU8ey0CesD4DOyMriMVf+HMENwuFRvWzxMJgVx4dA8JIPMG0BwcO0FThoTwYX2DWEjCjxItkVhCJJ8oYSdG142TQq/fFxx8TzIel4qluhK6JYu5Ib1fJ0bWyYQsesnLWXJvXmdK8ZoioG+VA3ojmMlVPk7JPvqbHz21O++ScyvkgH4qmhAGmat6W9Doc0PTkFaGL9M/FkY0rkFVgM7GdPEgreTebbTHxRNayh6BoHJ7q3VBUQyX/HzNh80z6DMdq12e3X1M9GbvPzYpWgjkcv5MkOhhNsQDAB+V3E9zD707Rw89JUBcqlLwKFv5O1AIuXrofZIvEe0JZjb64XUblVC11kfPAT3jGG9a2YP1C2aIOZB2oADPquR+NwX0bcUr9CM2y3pi8YTYUFhl/o7rSAb0rx0ZhaZpIhFBpjCFjq3LR6FvajD67I9NRCzn0AP5KfRA+ui6YxPRlABzXCj0xmJuxu1Kz+zSuVWV0vSC0qbQ7uzWoM+NW99yomU1AN0EqDew02FFKhOZS+7J9V0K6PXs/a7+cUTiieSGqgSJBzm5VKzDPWBPoT8ykrm01+NS8aUrVuAi3aXWTAeV3DvQQ5/N4Z7obvajye9GLKFhx5Hs/aYU0FPLjpzA/PuOAcQTGha0B221TthlhskUjz4Xv0dFc4MHy7qa0BrwYDwSx59fPizek6xg0QbYKLlP/f4u6dLXw8N2Su6TSdB8W2rMx5Kpj97JkXVES4b7Eyn0hST8Al63CGxoUyoUelGxlnw9Gmvm1OQDK+yMH6Tza2c6Rj5YTS8YnihjD30ZAvqLV3Th1AVtePe6OcbrSuczV8nx47o79ycuWIyWgAf7Bifx8CtHij6uQdM1/dze5HjS3tYA5rYnE4+7sjjdH5RadGTzQrNzPLncN0gKPWDdR09JpUwVYYECR9dlKok3G/jZ5YV9Q+L/01jX5PPnDsTJSNiy5L5CeuhpbF0mhZ72KYX2zwPFj60bEmPrcpfcU+KUqvisDGNrAQ7oGcdY2duC/7nu1DR30mwIRcJUcj8ejom+02JM8egGPRaOWWaEzcillS0WN/eFM0NwqwqGJqLYf2xSZLkp+17ojFQjoM+9oVAURXxug+MRaRZs4T30QHrAZXY+pk0XZW3NM+gB2eXe+KwHpXmhmcbPFQPdGKwy3vkiKwhA+UvuzaV/VFIv9xpT4uV/nt4LADhhVnPBZW/ZSFHoi5xBDxiqw2Q083eEzLkKCWzpMzo6Gs7aD5yJ/ccmcPb/ewRf+O1WUaGR7TgURcHSblKos5eck8s9VfjI6x1t2E8voN0kG+axdfR97m5ugKIoUFVFqPS/fm4/gPTrnZJllOQ0GxAtsanQD01ERFIjH9NLGdosZ1J0Ri3aU4olkwcLBfSFJvzMTvFBEdCn3g9H8qjcKhQaP0ju4lZQsH/C7OLXAZlGi5J741orf8l9KV5zUWcjfnbdepx2nPH99rmNfvJsZb9y9c4Fx3fhnScnkwI/enJ30cdFexcySKXYrbctgHl6m2M2Y7xME1Y8pra7SYseesDa6Z4mZmSq3AmaRAe70NpgPt9mAz+7vLjfSH49uydZ2eD3qLamMtDnY6XCkzHvdPfQkzCTaQ59pqrQfCi65D6XKZ5ccm9qGbIyjK0FOKBnppVMJfe0QW4NeIrKmstBiR2Vnkodmxs8louz3+PCMn0Tv3nfkLgpUmluoSX3hrpkbzNKm/XB8Qgicese+vY8XO4BQ/klVfjwSGov8nhaD336c3rIHVW6ERgj60qzQaPNsN+BvjNz1ryrgB7ZQhBz6KOpG4sdR5Oq5oIOo0qFztMzu5PKwIb180pyTHPbgpjZ6MMp89psmejlItNoRJkDQ7kD6UzQzToiVdnkw0PbjmDPwATuenI3fvL3PQCyl9wDhvN/roCWgtnFekAvK76Pb08G9Gc42D8PGAr9aDiGqWjcmDMvBe3r9SCD1HNz64ZZ7Ta3IS3Sg/P+sXBWtYNMRGe1NBSsoAdzzKE21lDn1hlyPZevJ03Tiiq5B1KTrYDx3oweerMpXgkD+h7yQRi2TIRNRGJiHVrhQKWOjJXTNSXVS/meza9PlKMqgLDTR/+UqXrnXaf0AgD+vnOgYPEASK1ENBtx9rYFxFjTXf0T2HJgGO/9wT/wj52p5p9iwoppzRB98vpeaCpiuNyrqmLc60wK/bHxiKiMytTiJRT6PMcDZ6reMRv42SGe0FLaU57V78N21x3aV1q53FdKyb0rl8u9vr+zO6LaCjEWtcA+dmGKZ2FeDaS2MR4dMUruASOhygo9wziIKLmX5jK/0jeCD//kOQCpo7YKQXYqttNHP5ilf56gY0oN6JNVBIWa4pndzHNBi9jgeEQYlJiD9qYGt1DR7Sy86Qp9akA/FslDoZduBBTMzHC4/5IIWYx0KxQ5oFcVI3FSaoSBS9wc0CcVkgUdhqopGxi2h7y4bGV3SY6pwevCXz99Dn523amOPJ+dkvt8TP7M+D0usSEvpI/+ValsnDYys1qzVwdRD/m2Q5nVzaloXGzazSX3B4YmsbN/HKoCoZY7RZPfLdSgwfGI+D7LG/DTTa/ZZQpQzaXe5n7FoM8tfAEoKWDFdv13harz9FpA5iooo0/WQYVelNwb947RcEyojgUH9EHz50g99HrJvbmHvoQl90u6GuFSFQyMR1I8U4hth0aR0JIJM6c9RUTJ/TT10E9nQN8k/AMy70vMyb65M5KBfSyh4fm9QymP1TQN//bHV/DbFw7mfO2hySg0LWnSedIcI6Bv8ifHJ5IR8csHh/Hhuzfhb9v78bNnUs34DmaopjKPmJySxtYBqcqpzOt60ig5PcP6PFB1WqEl9+kBvfWY3Wy8fmQsJSlN9w2739HsLvd6Of40m+LRMSYyVLo5odA3FqHQa5omEn+5euiHJoyJNVRyTwlV7qFnGAdpMSkSWw4M46r/+juOjIaxtKsRX33riUW/RiZjIyuMkXW5A/ondwyIm5JQ6AvsoSfVKWBzIW8LppfcmxdXRVGwoCMIRbHnTmzuoT88bK3Qx7O43IsbpBSY0o1/toP9wTKUBHEmoDc+w/aQz1YJnRPIBi6EpmnYqW9yjssQ0F99ypyUvkSnIVXFCXKNrUskNFEWPiuHMp6JYmbRv6ar7Fevm4OA1wVFMRT1TJChWDaFnhJaXrcqDD6noglMReN4Qt+wr+xtcdxfQlEUSYmIpDjcE/PbgylBvLkixWzyZKWGLNZ74l/N0nZAhni5Ps9sGP3W1tfPWIay2mKwmpJCPg9NfnfBbtRtUvWUz22U6raYSu7z8VYpFL/HJSottlhMK9iqq5ErHDDGNEPvy6rkvlZM8TLRaMPf5wmLdhwyNX16V6pi/uL+YXznsR249f5tOV9brkRcJH0nqb1xvt5D/8L+YTH9wDx6M1PJfcikohtz6FOVaXPJPRnwzckyCpLEmYkMa0AmRjP00Bdiikczzek4Kea1W3lkuNynrx00LcBJL5VCyKXQR4RvUxE99BaGmHYZmTLMJDNVftJ1Rga3fo8qkgjCX2acFXqGcYxWkwJy+4OvYXgyitVzWvCz6051RBEwjPHsKPTZs34AsGpOCwBDlfO5VeEoXWhAT9nsgM2bApl69I1MGT30FovrD953Mn55/XpbpeNGwJVcYEnRa/KnZtxpkXdbGKJYzaGnMupCVFc7iJJ7B/rO5D78cvXPA9Yu9/1jEYxOxaAoqZMeaCPgVhW8+9S5ZTvGYmnwJM9TphnCR3XXZJeqFNybXOjoOk3ThNKyYf1c/OljZ+EXH1qfc2TmEj2YPTqaueSc+uc7Qj6EfEbVzLGJCP6hO0uf4XD/PCGUiPGw1ENvXNeKouC0hYZKb1bozcGx1bpIxniv2lDoqUKhEEI5DLHGMmzai8FqbF2x5faAMYEASA0EKFFLLRl0zyqFmagM9SxbGeNlcx4vFqs+2nKOrfO41JT7RjnK/MVr5VDoj46GLat31ukBPa0dBBlX2pnrLU/yWSAZHfbqFUnzLNa9AZOaabWeAOlGh3IPPWAkr80K/X590ka2Nieh/jtUcu81GfjZgQzxLl7RlWKqaNe7w3C5T9+vXH/2Avxw48m46uRe28dTCgyX+wxz6DNUheZDMT30tD4GTEaLMj4XeVTo6nyjYfgqJsCwQs8wztFq6qGnWcWfuXhpRrOLfClMoc98Y58/IyhuxsnHeiV1u7CS+wnhZm7vprBE7919+eCI6GdyW/S097YFsGauvTFl8nxzwJhBT2WyZlM8l2JRck+usdKNgEZiFaq65kKY4jlccj8dAb08/mynVIIoHxd9Zy45obusx1gsDTlK7mlD12VyTc4H6pHLt+T+0PAURqdicKsKFrSH0NsWEHPasxH0uUWy5dW+UUxF43jstaN4+JXDePiVw+gfC6fM8FYUxVBhx6N49XB2E6hiMZzuZYU+9Xt4umTWZU78yRvggNdl+R0jY7xsTvdiZF0xCr03+wawlC73wykBveHuXShyBZicgKDXo8orcggvpUIPGOr7VovRdaTaOzHpwgy9d6uxdeUwxQNSe5/L20OfXaF8Va/6mTcjmJLQIYX++X1DKfcL6j/PlDCVIYW+LeBFa9ArrsdeXXVuC3rF53/B8k4A6WrmgQztUSFTa4xwuaeA3kN+ManHaYwKzabQF2aKl2tsXT5z6MkQb+XsFlGhlXxue9eOJ4vLfcDrxjlLZpa06s4OwuU+oyle8T30xYytyzWyDkj3KJCNheXKtVpiemcjMHVPixjTE0U0nhA3JasMcaHQzdBOQE898dlMwFRVwcreFvxNL5dtC3oLvtEQ9HcBmz30wsjo4IgojyrW6ZwUVFLiaeN6XEcIz+0dsjm2Lv1GUExftB3oxmC3XSEb8k2gs6k8I+sA48YoK/Sif940Kur9p82DW1VwzZnzy3Z8TiBXgGialjIeDTBKOIspNyy05J7U+QUdQZFcscuSzkbsGZjAy4dGcOcTu/CXbcZIqQXtQWxYn6yioLaX1oAnaSI3HhbK9ZICR7nlgpSIP7x4UKytZkVNVui7TcG+HEhm2jzRsb/WN2p5XvcfmxCq9iIHeugzJU3HShDQi5J7qYe+T4ysK3x9kP1E5HWLPuOhiWhKoOfke7LCUOhTS+7DsbhI1JAbvpNQBYisuJaz5B5IVn7068Ul5UoiAEY7SyZvH1qTFpvWhvntQbSHfOgfC+PF/cMi8UgBcSyhIRpPZN0PDJj2Ocd1BDE4HhEBvaIo+OpbT8T2w6O4YtUsPPjyYQyOR8T3OxyLixL83AG9uYdeN80zKfRU2t/blnn9L3RsHbXppI2tc+U3ti4ciwvD5hNnN2NpV5Mwp7XdQ08K/TQ72Wcj1xx6Z1zu9QlUU9b7gWzs0acvZPu+mpMi8notV67VEpV7RTF1gbGBieDAsUnEExr8HjUlm1Ysxugh+y73bTmqA1ZLZn1tQa8tB+9sCIXeZtkWGRkNjkdEqa9VyX0+0GtPmkruSaHPp4eeFnxN02zN9C6G85Z14qLjO/H+04sPcKdLoadEghzQW/XPA0kV5eZLlwk1ulqg70hCs55BfED0ZBb+vihozrfkntQw8+bZDjS67rt/3Ym/bDsCr0vFytnNCHpd2Nk/jjuf2J1ybLTmvbBvCOFYAn6PKjbSTnPV2l54XSoeefWoMAAyq/DdzQ341EVL8L/OXZhVoc/kJjy/PQiPS8FoOCZmU8t886HXAQCnHTejqPFrQbGZz95D72TJvZXL/REHSu5lUzyrkvtjExHxmkGvq+ReHsu6m6AoyWTFUam65bW+McQSGloCnpKs38IYS09eRGIJcQ8tW0AvBWJlNcVrSHf4lyFPisVdqWuSoihG2b3kPE+VcEBulZ72OXQdfuQNC3HB8k5csqJLPOai47tww7mLxLoVjWuifJmqffweNW0OeFrJPbnc6+u/P5NCP1Q6hX48g7+GN88e+m2HRhGNa5gR9GJ2a4NJobcb0GdW6CsF2z30RcyhpwRILKFZ7gdk5OkbsXgC33o4eU85Z8nMjH9jTszL+yUuuWeYEkCb21hCw1Z9Du6ctoCj88qtjI0yIWam53A3pz56QFfofan95/kieuhtKvSykRGtuUUr9FJSYjwcEwoRBZRjQqHP3ENPZf9UkjUyFRN/V0yglo2ORh/+671rcfbijqKfK7WHvnwKvc+i9G9nPzncO1etMp0EpA2M1QxiodAX0ZpBnhv5ltyTId7SrvwD+mX639BrfuqiJbjvhjPwyYuWADB6W8n3glQF6oFd3NlomRxzgnULZuCHG08WKrDXpVomKz96zkJ84sIlaT+XA/BMCr3XrYoqktdM5oA7j47hl/qMe6vnzwdzoGCGNu2NJemhNzZ+hy3G/+WLPLbOquQ+oRnfh1LOoJePgeaRyyO5tghDvOa8FLR8Xhcwzql8jy7H+waMQCzgdRV9D80HY2xd8j1/4bdbceHXHxP9weRJYbUmnWLRR79fDuhzBLxmhf6cpTPxvQ1rxRol4/e4xGdEFYyi6q65Ie26MPdGT8XMPfTpLvexeAKHyDw3y/pfuEJvPQHDMMWz10P/om6Id+Ls5PeBppwA9hOJniwu95WCmEOfQ6HPt5pNhoxngezGeMfGI7jsm4/jHd95CkdHw/j1cwew/cgYWgIeXHf2gox/5zMdW4dFyf3wZDRFRKl2OKBnppUGr0t88cg9NJcRVb5QJtxWD71NhX5VrzHqpTXgRUAvV4/GtYIWiHxd7oH0vttiNyP0HiakmdUhn1soUZR0iMezzKE3jYEh1UD2Gahk5DI4p0c0ZcPKFM9qBn0143apQhGZiMQxFo7hvT/4B+7+R3LmO10rxbRmUGXP0TwD+kzlrXYghR4ATl3QhmvOSFaKvOuUOSnl7WaFnuYXF/Ka+XD6wnbc/cF16Gzy4dylM/NKloZslNwDhopodvv/+l+2I57QcO7SmVgzt9XqT+0fi82xdaUwxaOpBIDcQ194wq8tg0Lvc7vEPWDPQDIRVOr+eYIqsfbrCSjAMMQ7vgTl9kB68Ef36Ea/u2RJrvRjSJ7jcqrzgHFeSfX+1XP78drhMfz55cNIJDRsz7ImUUC/ac8xxOKJlEo4IHdAT15BdseyzhCKZnJdzeRwD6SPrRMKPbncm+bUA8nKkFhCg8eloDNL5VnBPfRUvWPag5BLeziWwCfveQGf+eWLKWqwGapMoD3qEinZkm/JvTngrCQMhT6DKZ4DJfeKouQ0xtM0DZ/51YvYenAET+8exFXffQq3P/gaAOCGcxZmNQtNK7mXAvrmBo94j/RdqAUq94pi6gbaKG7W3UPnOlx+mpfLvU2Fvi3oFWZYcsk9kPtmasV4nj30QPoYoaIDejESJiZG1nU1+6VSV73kXss9h5566A86UEZdTuSseTEKXL54TapFOBYXY3wWmkruqxna1E1E4vjba0fxt+39+NqfX0Mi4UxrhtFDb7/kPhZPYLtuxrmkAIV+TlsA82YE0Bb04ra3rxQBs9/jwj+dt0g8rsOk0FNZbKn652VWz2nFk/98Hv7zPSfl9XdW5eBWkIooG+O90jeC3+kzsT9x4eK8XteKXKZ4pSi5b/S7hYpEvc7kB1BMwm+GNLbO3GZF90Oq7ChXQE/q7FGpDHWLXjW3ogSGeIDx3qaiCUTjCbG5zpY8KtUxlDugp2BkZDKK0SnDM+GJ1/ux/9gkJiJxeN0q5s1I3w8t6WxEo8+NiUgc24+MYWgimhLk0toyPBnFTT/fnFKaD0heQTY/Zwr8qW0n232drucxUw89KfSi5F5KXlN1wayWhqwJR9qj5Otyn2mkJe2Zfrv5AH65aT9+/uy+rNVdwuBPP46Qzy3G19ktuaf1vpB7TbnI2UMfK94UD0hvuTHz06f34s8vH4bHpaCryY+dR8fRNzKFnmY/3pNjwk9ayb20XquqIq598zjGaoYDembaoQ3uS7p76Nx2ZxVJo4feOqD/09Y+/HJTsiz0mD62LtvmlaDZsMd1hOB1q0KdnojmX3Y/ITajhSv0xS6uAZ9Rck/9893NfkMZ083MsvXQC5d7PYNb6v55p/GnmOKVsYfeNId+78AEElpyk9DhoJ/EdEMJq8lIXCTPBscjePnQiDMBPVWT6G0jdtgzOIFILIEGj0uMbcoHl6rg/hvPxCOffENa/+fb1szGwpkhqNJMe/P0jnJt7FyqknfZtB1TPMAI6KkkFQDu25wM5i86vtMRh/SgtD6Z0TRNbNqdDIBVVUkxVdU0TfgzFLM+NHgNJd6cxCWvgn0ioC9PoEkBvbzB3aEnupZ1l+YalZMv4+EY+vVgSh7rV2roupouhX50Kibut0AyoN+m988v7AhZ+ieoqiKqJrYcGE4ptweMgP6BLYfw6+cP4JO/fCElOKOAvs3m59ymJ6BEyb3YH6Sv1Tld7i3G1tHx5/ISEcaYec6hzzW2bveAUZVycCj1s5ShqQKyuk6mhHNsClEfv2Axnv6X83DmouJbBEuFcLnP2UNf3J5TzKIPp+/NXz8yhi///mUAwKcvWopffni9+Iw/ffHSnC0L5goIsy9XLfbRV34NLFPz0EaRbkJOK/TZXO6j8QT+6X+eRziWwMKZIbEpzFVyDwD/cukyvGX1LJw0J1lK2uBxIRqP5V0OpmkaJqL5K/RkZEQVYp4iTfHksXV90mgmuokmtOTv6KZmlUCg5wjHEhgPx6QgrTSmX05DNwmPS0kz+yklZoVeONx3BEvSuzpdyE73Q5Jz+ANb+oRCVUzJfcjnRtDrwngkjiOjYcy3oZq8JgzxQgV7d2T63npcKu750Hr0jUxhgV5pYb6uKlmpsWOKB0CsgTuOjmNgLIwZIR+e0ft7z1vW6cixBLOU3E9FE8JLxEmFHkgmnIcnoxiajOrj5JIv1GHRb5wPbUEvJiKTaUEG3Q/3DCbXgHLNRm83tauMhQ3/E/OoQ6fwuFT43CrCsQTGwjGRTLDq5S4V01dyb/TQy0Fk/1gEv9UrW7KtDSt6mvH3nYPYenAkLYk1pe9BaE3dNziJh185IkbQ2W0tJNozlNxbJV+NaRRxJBKa2Nf5TD30csk9Ja+y9c8Dxv0j31FnmSZgWPkA9VkYexKUnJCDyS+8aTmuXjcHJ0m+StlQFKXiDW1tu9wX2TZA58PKsPonf9+DqWgCpy+cgWvOmA9VVfDHG8/E7oFxWwniXAG9aCOpIad7VuiZace8UXRyZB0ANFvMEib6hqdEEPXDJ3YBSCpZdlSeoM+NtfPaRBBQaPZ4KpoQQXk+Cr1sZAQ4N7ZuImKUe3c3+1PMS8bCMbHhm2GR3Z8R8qFH7xt+Yd+QI87l5YRM8WY2+ssaSHtNpniif97hapXppkFKGpHaA0BUyLQEPEUHZMIYz2bZ/StFONzboTXoxTKpz15W6JsbPI5O9HAauwp9a9ArKhCe2X0MU9G4mNd8iq5gFUs2Uzz6maKkmi86gTy6jsrt20PeogyhAGN0nfl6FwF9mXvoO0KpJahHJB+VUo7Nk/toqaS7vYzfCSonL3cllNxDTyZzxANb+gBkX5OMUYOZFXpZXLjryeT+RtM0YYpnpxJRfhz9nRiBaXFfl6+V8UhMHItRcp9Zoc/mcA/kHl1phaZpGRV6ec8U1O9NVpM6CDL480vf/Ua/B2vmttZU4l300GecQ1+8yz2QvXr2Jd2/4+1relP22HarvdwuFZSfd0sl9kQtzqLngJ6ZduQNrltVHA/+6IZt9cWVb4R/ePEQgKSCVohS1yCpj/lA/WCKkuqybge57N6qpz0fApLLPfkZHK+7G1P/6ng4LsY2ZQpE1ugb+Gf3HBNGZ7ky75UCbRjMs7pLjVDo9c3PTl2hN4+sq3ZEFUgkLlQiwJjt7URrBm3M+2wG9NuPJAP6cinlskK/pKuxojeCsolUrs0/lZ4+s3sQL+wbQiSeQEejT3iNFEs2UzzZ9MrJCSlA6pSUw3q5vRMKGyn8ZNpK0PVB6mq5e+gpoKfvz8wST/ugstuxqelR6N+2ZjZuPG8RPnTWcWV7TcC4rmSFnlRFUkazTd1YoZfcv3xoRCTgCQrk5V7zJ14fwGuHR/Uqu2RAZjegp+TTwHgEkVgCu/sz3598blUEhOPhuNFD7zW73BvJhv3H7Cn0Yh+SRxXkZDQuqnfMPfR0P1rQHsTb1/YCAPqGs5Tc6wq9r4Id6p3AlVOhd6aHnvb+8hQRet2Xyb+jCENOnxBofGn3BTGLngN6hnEOeYM7u7XB8Zm7lO0fC8fSxmXJzrDUL1SoIU+hDqyk6Dd4XHlvRsmsyOtSiw4MqDrg6OiUcP0+aW5Lyu/GwzFhGpNpU7tWd7N+ds+xrG64lciZi9vxtjWz8b8kM7NyQJscUuh39ZPDfW0F9KTOTETilu6yTlwntMl81eS4TsRMM4d39yc3k/PLVA0hG26WwxCvGFTVcCJuydGCQs7bz+wexNN6uf0p89ocS1iY3bNlxgvwILGLMbouKlRrJ0ZafujsBXjL6lm46PiulJ+bPRayOTk7CSXC+keT30tK3JbaHDRVoU++ZkcZe+hbg158/ILFmONQ4skusiEgGSBeekJ3ymPMM+hl5reH0OBxJQ1GX+9P+R2p4maD3rue3C2EDZ9btT1VRy653zMwjlhCQ8jntkx8JwUAozSe9lzC5V7MoS9EoTeMe+1ChmuqYlQJEG9aOQtvPWk27njXatG/n02hpySE7LVTi+RyuSevn2KrQjONlN7VP4bJaBwNHhfmtxe+B6JrrcNiDVvS2YjTjptRNWKTHWr7qmSqAjmAnuNwuT2QdNIkBdQ8zurAsfRsbC6H+0zIc9zzYVyMrMtfiSFjHKtesHyhkvv+sQg0LZlcoaBdLnclU6hMyg2Np3puzzER/FeLKV6T34Pb3r7SkZn2+WAeW0eljU4EDpWEqAKJxjE4kW5A6cR1srzHUK7M3Lf5AJbf8if8aWuypFXTNKFuOaUk56LFpNBXOh84Yz7OX9aZM/lACv3WgyN49LWj+s+KG1UnQ0FCJJ5IGw1KanYpSsNbpJYtKrl3wjDz5HltuP2qVWlqtNljodwK/WQ0aSh5WPJRKSVBq5L7Mir004V8rVLy8ezFHaLyrdHnFu1rVrhURax1VNFFAeuUqeT+nCXJ+9mvn9uPrbry2Rb02k620Ro9OB4RE0EWzgxl/Ht6b8OTUaHmipJ7YYqXPLZoPIFDuirem7OH3hitm5DU42v/+1mce9ujWdtxgl532vF2NfvxtXesxIpZzSI5cSibKR4p9HlWUlYbtnvoHQroZT8dANhyIHmNLu9pKmp8JVUQWFWTvvOUOfjptafmdMuvJjigZ6YdWZGwGtFSLIqiiPJG84gKKvU6Swrg7BrFmAkWOFKFSvQLUZdOmtOKpV2NON8B4ylztp6MrgDjBj0Rya3QL+1qRNDrEjdSv0e1XdpXr5gDeqPctrxGTaWGNmRTUsn9pScYCqUTAf3x+iaXNq4yf985gEgsgYe3HQEAHJuIYlS/TnOpQ07R0iAp9FUQ0N90wWJ8/31rc1ZO9bQ0YHZrA+IJDZv2HAMAnDzfmf55ILXX3NzWlKlH1gmMHvqICHKLGVmXC3NCuVwKfdDnFkFX/1hYGs9X2uBaHl0lSu4r2FfCKdwuQyEnz5SelgacoU/PWWyjHcc8uva4mUlBhJR5+p68YclMnDSnBVPRBG7+9YsA7JfbA0a/cf9YRIymXDQzs3JK39UBab9F1Vlmhb5veAoJLVkxkMvHgPZImmb0s4djcTz48mHs7B/H49uPpv0NVfSYy+3NUECf1RSv7hT6XKZ4xQlJlCwdmjQH9Mn+efP1nS90rVWyT42T1PZVyVQFsiJhd/RHvmTql6GS+ytW9ojSm0IVenkkVz5MFDCDnvB7XPjjjWfijnetzvtvzaQH9C3i/xszoOM4mmOj53apWC0lA3paGiq6T7gS8Eku95qmYXQqeYMrlzpXLuQqFiq5v+zEHvH7WQ6Uvy3taoSiJKtxqJqEGNM3dzv1lgYqde1q8uccg+MUXreKlbOb0dHow/Lu4jYslYZsgNfod2Npl3Pvz+NSReLLrMRlmjPtBJSASSr0yeuplGXo5pavcq4B7Y2GMR75BXSW2JFb9NCnjK2rjw04JWsocOpp8eNta2ZDVYALl+dO0h9vGl27aGYyQWg2xQt4Xbj9HasQ8LpwzKIyKhe0fzo2IQX0nZkDejqntN9SFOMeR+o2BcdUITWrNfc+we82DHopUD88bCQN/ra9P+1vaCRaLrNVGsF3eDScUZkW7QM1r9CnejmYca6H3toUb8vBZEBvvr7zxSeZHNcDHNAz006qQl+aPlarGbuAEdDPbm0QpTeFmnAEClTo6cYUtNnPZsapYDlguuGtmWtszulm2D8aFopmtqznWqnUtlrK7acTeQ79VDQhbpi1FtCTA/nIVFRUISzpbMSpC9rgdak4ocgbOJBMjFE//LZDqX30pOTSWMA9A8n/LVUiMRP3XH8a/vbpcxwfsTbdyIr82rmtRZVLWhHK0Ecvl9U6DSn0B4ensFM3AytlK0x6QF++Kh26Tx4dDePwcHlL7o+OhYXZmdUElVpEXt8VJflZn7awHS9/6WJcd9aCnH+/QnL8bgl4RK+7odAbYsG89iC++KbjxePzCejpmownNDy7O1l9Q8kDK0ImhT4ZiCfXAr9JobfbPw8kPT0Cwocl+Z0/KJnYPf56ekAvFPoca21How9uVUE8oaW1ZhJkJuirc4XeqTn0lCyVr7aKuwAAOVdJREFUS+4TCQ1b9ZL7FTYd7TMhSu5rrHUxE7V9VTJVgdxTWqo+VrrR9UsLdSKhCdO22W0BfOisBXjw42fhnSfPKeg1ZAfvfKAbU0OBAb1TyIYxfo+Kpd3GDTukl7rt6jd69bLdINdKyQAO6HPjlUzxSJ1XldIEKNMJXeP0vVOU5Jzt725Yi4c/ebYwJioWGm2zVc/0E2SQNDgewdBERKhDTr2uXbxutWwVAeXkZEmhd7LcnqCSW7NCP15ChZ7mwD+9a1D0KpfSb8E8xrWsCj0F9GMRodB3NZen5H6Pbk7pdaviZ7WOfG47G/0iQPJ7XLYS9Ys6QyJomdXSIO7hhkJP/jzJn79tzWy88cSk8V4+4onXrYrEFrXcZVPo6b5FAopcou4TPfQU0OtrsM3qrIApqXdQ6nnfMzCR5vg/piv0uQJ6l6qI5NXBDE73pNDXfA+9K3sPvVOmeE3CcNSonN13bAKj4Ri8LjXrNWYHSrzW2vjfTHBAz0w7HY0+uFQFXrdaso21lUJ/ZDSMaFxLLuSNPiiKgkWdjQWrSuYbjV1IlZju4M2lKqIs7sTZLakzWvX3RgH9zCZf1g3HqjktYgYoB/S5EXPoYwmMSAZfTo/gmm7MAX1LgwcuVUGT3+NoDzuVsr9s6qOXA8EdR8fFrO9yGeLVOsd1BMUmav2CGY4/vzE+M0PJfQkCQVmNXzgzhG9dvRoLs6iTxTKtJfd0nxyVeuhLXXKvn7PderVMRyj7vaWWoIAGQEHjej0uI/E+q6UBfpOoIJfcA8lqvtvfsRLf27DWVgWAzAxJ0Q94Xehpznxfl6sugFSxgPYYFByTq7zdCSdB03jgQ6aed7NKT21WdjyKunL00VMSol566HOb4jnUQy8p9GSIt7S7seiEwb+99UTc+f61YgJLrVMfaVCmomnye/Ctd62Gz1M61coI6I1M4IEho3/WiVF5AZEdz9MUT9+MBkowcilfAl4XwrFEiiEeYGy6RECfw2Qk5HNjeU8TthwYKbv6WY14pdm8Rv98bRniAcZ35MBQcsNUqF9FLoTTvSmgl9thdh4dEz305S65r1UURcF/vXct9gyMp/hoOEVQMueUESX3JQjoV85uwZevOB4djX5cuLyz5Em2gNcFr0sVZa1y0FdqyJTs9aNjQoUrdblq0BTQt9dJuT2QusZ3F5j4XjGrGS/uH8actkCaQj9p4c/jc7twgY3+fDMzQl7RcrJwZijr94Aq+mi/5ffK1X+pCj2NLMs1FpMICD+f5Hee2iYD3uQIv8e39+NdpxhVloZhZu7nJ2O8gxmc7utGobcZ0NO+pVBa9LVtdCqGeCIpron++SLL7YFkC0upW4YqCQ7omYrgEtP8Vach11xZoTd6t5xRkEl9rFaFHkhuro5NRFMM8ejngHHztKPafOmKFXhgSx8ukVzMGWtItYjGNaHQ11r/PGBsxuh7aFYjnYIU+l0D4xgPx4zRWFOpCj2VZ5Z7BnUts6q3Bat6W0ry3MaIM1MPfQnH1qmqgveun+f482ZCURS0Bj04PBKGogChMt4XaP47JcJaA56SBy8haR47UD+GeEDqGl9oJdt1ZyaV9g3r5+HJHUl1mgJPCmadaOeTe+4XZnG4ByTPHamHnvBJyWsAeSewQ77UgJ7GzL3xhG7cs2k/ntjRj0RCEwkHY23I/RmI0XUWCr2maXXYQ59pDn0y0HdqbB2QNMZrDXoNh/sCvazqmdq+KhlGR/TQWwT0TjhrA7J6lGcPfQUp9NedtQCXrOhKGeMHpCtfucbLAMmxd5+9dFnNZ7OdQM50k5FQucZVlRPzxrJUAX1How8zG33QNOCVPsMYTy65f6VvBId013JW6KsD2pSbS+6p8qIUAf10QN+LkLe8bTcUTO8S5n+lV7fM/fL1GtB3Z5k5n4157UH865tPwJwZAbG+CoU+ar/cPBczpPOyuDN7y4lsogukrvsUDFMCZzTPBDYJMLt0P4uDerXXJSd0IeRzY2gimjKyNJ8JGOR0b1VyH4knoOmCdS36n8jkdrl3pofe7VLFmk2j6+jcFWuIV49wQM/UBR2WJfe6Qu9Qj3fA1Ntll4lo5Sj0G9bPw3++Z03aDcuc3a4X19ByIQf0lHRqapj+68FpGkzXVVuwdEkLo+w+mfGPxRNCYQGSM+k1Lfm9nVGi0n/GWYKmcltitIQK/XRA5cflrtIxz38vR0BvThbT6Lx6QE7a2u0hz0aDcICPIxIzpqUEPMVfR+3SGpltBj1gfA+p2iy1h55K7kmhTz6myea1Tp4BlKglA7s5bQGcqvt2/O11Yx59Pu04ouTewhSPEhBA7Y+tsz2HvsgeesBQ6YcmIhgLxzA4ntyjL+ioDyM7J+GAnqkLKOs/PBkVvYH5jEuxA5UTF6zQT7PLfTbMN8N6metZLuR5rgN60qkme+jNCn0JA+nj9YCeMv7mVhjaoM1pC9SNCVe1ExTGo9Yu97UyBpDKm8u9BpjV8VKO5yPMymk9KfRyEJvNZM4uDZIpnjxtx+mS+2wj64D076FsIifG1un7MAq47V7rS7uS6/q2vpGU8afdzQ04WR+XK48rHc/DMJN8DKwUekpAKIozgWwlQz30mpacBmVG9NA74D1FycvhySgO6xVzQa+rJvc/pYYDeqYuaG7wiEVqYDypgB7Qx6U4VXJf6Ni6cQvjmkojPaCvn01XOVAURaj0/SKgr9zroVDKVXIPGH2eZHw3qo8vSo6MM259XG5fPVDpsDlpanfWdLXQEqCAvswKvcmQjkvuS0ujvziXezOkhE9F45jQzXk9LqVo8zLAKLn3e9ScvkPmij6/hUI/FY1D0zTRQ2/3u0sK/e7+cVF239zgQdDnxnx9PNluvWUEgJgpb+deQwr94ZEpxOKp/eNhPQHsd9sbKVjNuKSEhZVKH4k700MPGAr98GQUh/VESmeB7Sf1Dgf0TF2gqgpmiFn0EWiaJkrunRqrRgH9eL4l9xFSlypXoTffbLnk3nl8+s2REk61GNCbk1ZtJQzoKSgiF2UK+hp9bsxvN0pGeWRd9RD0WZfc59MnWw206qpVOR3ugeQ675OCv5nTUXJfRwE9tVX53GqKAl4ofsnlnpJe5janQqES6JWzW3L6OpjPaUrJvaTQh6W2ALv3u46QD21BLxIa8NhrydJ6aleYRwH9wDg0veGd/CDm25hF3h7ywa0qSGjJscYypNDXuiEeYCj0gHUffZTm0DuQKJJH1x0eTQb0XXXkTO8ktX9lMoyOPIt+cDyCqWgCigJ0O5AZB4xgJW+FPlwFCr2XS+5LjaHQU0BfeyVn5Sy5b2kwNgpAai+l3J/HCn31EMpQcm/Moa/cpGg+zGpJXpPlHrmkKEqK4WlnGSqxzEmYjjrqoafzO7896IjqK5fcTzi8rzi+pxn3XL8e37x6dc7Hppfcpyv0mgYM6P3SimLfQ0hRFCztSqr0D79yBADQoyu6yfapZF/+4HgEwxNR8Rp2AnqXqohzYna6n5IU+lrHpcoKfbrTvZMl980NRuK9bzi596mnUXNOUrkRBMM4DAX0R8fCon9+ZqPPMRf2ohX6Cu6hlxV6j0sRChLjHCKgH01uQGrR5d5stlhKUzyzQi8H9MdJm7teDuirBitTPE3TpIC+Nr4zb149C6oCnLt0Ztlfuz3kE/fHspjieetXoV/e3YRvvHMVlnRl70m3S0OKQu/89JyT57XZepy5jSLF5V42gNVV8JAvv2kOS7ua8OSOAbywfwiAodD7PS70NDfgwNAkdg+Mw6W7tXc2+Wz7a3Q1+3FgaFL0cxM0CtBfFwq98R4tFXoxh774JJSs0Cf0qgoO6AuDA3qmbpAVegosnCq3B4yAfiqaQDyhpWQ5s0GlcYEK7v+U2wE6Qr6a7yGbDmijU9sl96mby5ZSltzrCv1YOIZoPCFU3UafG8fNlEvu2U23WghajK0LxxJi01nJbUv50OB14Z2nzJmW15YD6q4y9LK6VAUBrwsTkTg8LiVlNnWtoygKrlg1y7Hno/U1GteEw/x0mO1mV+iNYJH62/NNXlMfPY2Rk6ss584I4MDQJHb1T4AEZDvqPEH3jRE9EUyIGfR1oNDLW1erHvpoCXrohyYjorq1HGactUjtp5oYRofG4fSPRvD3nQMAgBNntzj2/PJNjOa/2kEE9BWs0MvvrYOzpyWBFPp8ewqribSxdSUM6OX+45HJqKTQu7BA76FXFGeTekxpoXVINsUjl2ugMkZ/VjtU8q4qKNs4R6oAmxHkZHExyIHzoJ4YdmJkXb5kc7lXFCUteZ2vmeUy3emekNdw6qPfM2CY5smeKbmg+668rgD1pdAriiIEKSuFPuLQHHrASKAMT0TRN8I99MXAdz+mbmgPGgr95n1DAIAzF7U79vw+twpFSWaNJyIx2zep8SoYW+dzq3CrCmIJjR3uS4TZibgWe+hVVYHfo2IqmoCqlNb0y6UqaPS7MToVw9BkFGNTRsn9su5GnLOkA/Pag444QDPlwcoUj1S+oNeVV9kuYw0p9O0hH9wObNjtEPK5cWQ0LIxrmcKQ9yDUO+5kyb1dzO2D5kSuz60iHEsUPNFlUWcIqgJQrNkjBfTz9YqrXZLT/YI8FHrydBg1+XTUk0IPJO+f8YSWQaF3MKCXxtYdGdF76NnlviA4oGfqBlLon993DPsGJ+FWFaxbMMOx51cUBUGvG2PhWNKQxkZbXCyeEDeKSlaXFEVB0OfG8GSUA/oSYTaYaW6o3OuhGAJeN6aiETQ3eGy3pRRKS8CTDOgnokbJvd8Nt0vFDzeeUtLXZpzHbIoXT2j4wm+3AgBWzWmZrsOqKSigL2cfKwVR9dQ/XwoURUGDJ9m+MKgHy9MhFLhdqkjcAuneKX6PCyNTMZGMyzeg93tcmNcexE5dge9uTi25B8jpPvmzfEruKZFO4/QIUujrweUeSDrdRwDE45ld7p00xRuciAjfAu6hL4yquzK//e1vY968efD7/Vi3bh2efvrprI+/5557sHTpUvj9fpxwwgm4//77y3SkTKVBm4V9g0nDn9VzWhyfW0zmL+Y5yTJT0Tj+6X+ex73PH8CEVJo/HZn0fKDPih3uS4M581+LCj1gqDWldLgnWoSDbgRjwnyyNhMl9UBQBPTJdfM/HnkdT+8eRNDrwr+++YTpPLSaYVVvC1QFWDO3tWyvSfcWDuiLh9ZXUugbpqHkHkgto09T6PWg+GgRE12o7F5VUgNAYxb9hDGyriMPhZ6qgNJK7utPoQcyudzrPfQOmOJRD/2+wQlRDcCiUWFUVUD/85//HDfddBNuueUWPPfcc1i5ciUuuugiHDlyxPLxTz75JN71rnfhmmuuwfPPP48rr7wSV155JbZs2VLmI2cqAfNm4YyFHY6/Bi1Og/rN1Iqndg7gty8cxNcefFWMlnGriiPZzlJChlM8g740pJfc12bgSUmvUvbPE7KDrlxyz1QnVMobiSdw7/MH8O8PbQcAfPnKFWxu6BAre1vw3P++ALdcvrxsr0nfyfY6GllXKmh9pYB+uowi5XXWrNBTUNxfoEIPQIyum9noTyn97tVH142FY5iIxOFSFfS22p9k0pShh57m0NdDDz1gzKI399BrmuZsD71+j6YkQXvI68jz1iNV9andfvvtuPbaa7Fx40YsX74c3/nOdxAIBHDnnXdaPv4b3/gGLr74YnzqU5/CsmXL8OUvfxknnXQSvvWtb5X5yJlKIC2gd7B/nphH/VsD4xkfQzex/ccmReAf8Loq3gyouznZp5ZP+RpjHzmgd6lKmqpRK1AJaDkUeurRH55MLblnqhM5SPjYzzcjntDwppU9ePNq55zCmeT0iXLej2iO+DxOyhSNUOh19bthmrx55EoocxBM/+7XjzFUwJpMLTYLZ6Ya3tHoOqK3tSEvnxQ6lrGwtUJvTk7UKjTyz9xDL//byYCe4HL7wqmanU0kEsGmTZtw8803i5+pqorzzz8fTz31lOXfPPXUU7jppptSfnbRRRfh3nvvzfg64XAY4XBY/HtkZKS4A2cqhragVxipNPrdWDm72fHXWNARBLZBuKtaQZlzTQNePpS8vgJVUAb8r285AS/tH8K6+fZm0TL5IW86Gv3uik/wFIoouQ+UvqWAHHSHJqIY06thWKGvXjwuVRgdhnxubFg/F//r3EU1+12pFz52/mKsndeGC5Z3TvehVD1Coace+kosuSeFXj/GfMfWAcAZC9vxn+8+CSdY7OPmtSdH1wH5CxCNPuseelLofXVioppJoSdDPMCZHvoGjwselyIUena4L5yq2dn09/cjHo+jszN1we/s7MQrr7xi+Td9fX2Wj+/r68v4Orfeeiu++MUvFn/ATMXhUhW0Bb3oH4tg/YIZJXHwpZvHzv6xjI+hzDkAbDkwDKDy++eB5GgYHvFVOuSNQiEbnGqhnAq97KA7HuaS+1rg9neswt7BCbztpNloLkNSiCk9rUEvLl/ZM92HUROQgjw47SX3xuuaqwToXjesz3ovpGpKURRcckK35e/mzQjiideTo4nzGVkHZHa5rz+FPkNAH5MV+uITqYqioLnBK6o1ZnJAXzD1kWrKg5tvvhnDw8Piv3379k33ITEOQmX3To6rk6GAXh6ZYoay0gDwkh7Qs1EX4zMp9LVKQA+oy9JDr5viDU1ERAllqAqSZ0xmLljeiWvOmM/BPMNYQGo49TlPW8l9lh5687+dvt/JrRv5GOLJx2I2xas7hd5FpnipAT1dV4oCx6bUyGX3rNAXTtXsGtvb2+FyuXD48OGUnx8+fBhdXV2Wf9PV1ZXX4wHA5/PB52PTr1rl+rOPw/0vHcIVJeq5pHmn+wYnEIklLHu3+iWFfutBXaGv4Bn0THmQy9dqOaB/x9peDI5FcPGKzOuwUzRb9NCHfBwIMgxTm5jL26drbyHfw6zm0Ms4vSbPk8rs85lBD8gl96zQA5lL7j0u1bFWJ2qNA4CuZo6/CqVqUk1erxdr1qzBQw89JH6WSCTw0EMPYf369ZZ/s379+pTHA8CDDz6Y8fFM7XPl6ln47oa1JStp7mj0Ieh1IaEBewcnLB8zICn0dJPgMmAmtYe+doPOsxd34H+uO7UsruSk4g5NRoVCP10lqAzDMKXGHMBPlz9Pqile9oDe6QT2/PaA9P8LU+gno3HEpH7xcLQ+Xe7NY+siDs6gJ5qlgJ5L7gunqq7Mm266Cd/73vfwox/9CNu2bcOHP/xhjI+PY+PGjQCADRs2pJjm3XjjjXjggQfwta99Da+88gq+8IUv4Nlnn8UNN9wwXW+BqXEURRElXpnK7gfGw2k/m66yOKZykOfb1nIPfTmhzP/wRFQquefkGcMwtYk/LaCvhJJ7s8t9aUvu584IYt6MAJZ2NeZdwi077stO9+FYvc2hT56zzAq9c0akzVxy7whVtbO56qqrcPToUXz+859HX18fVq1ahQceeEAY3+3duxeqaiwcp512Gn7605/ic5/7HD772c9i0aJFuPfee7FixYrpegtMHTC/PYQtB0awq38MQKopYyKhpSj0RJAD+rrH7HLPFE+L3qc/OBHBRCSpsHBAzzBMrVIpJfehrHPoUwN8pxPYHpeKP3/8bKgKoObZ5+1xqfB7VExFExidiol7yFTdKvTWPfROzoonrxuAx9YVQ9XtbG644YaMCvujjz6a9rO3v/3tePvb317io2IYg2zGeCNTUbFA9jT7cXB4CkB1jK1jSos3xeWerwcnaJbG1hHc3sIwTK2SHtBPU8m9vs56XEpa8OcrsUIPIK/Z82ZCPg+mouGUPvr6U+j1Hvq4WaFP/tvRgF5X6L1utSzjbGuV+kg1MUwZIROWnRaz6I25q24s6WoUP+e+XibVFI9vak7QYtocuFWlblyKGYapP8zte9NXcp98Xb9FAOw3rcGVlmSlhLpccs8KfRIquS8mYWKGEu+dTT7HjPbqkfq4MhmmjGRT6GkGfXvIhwUdxnxUVugZn4dL7p3G73GlBPAhv5s3DAzD1CxmhX66/Hmo5N7c0w+kKvQNHpejaq8TiFn0U0Zl1xSNrat3l/uY8z30NE66p7nBseesR3jXyDAOQyNTjoyGMRaOpfSSDYwnFfoZIS8WSPNRuYeekRX6pgZW6J2iJeDB4ZFkIi3IiTOGYWoYcwA/XWseVZlZVQj4KtwvptFCoQ9HqeS+spIPpcKVyeW+BD305y6dievOWoCLju/M/WAmI5X3TWKYKqe5wYP2kBf9YxHs7h/HilnN4nc0g35G0IfjWKFnJNgUrzQ0NxgBPRviMQxTy6Qp9NOkKK/qbcEVq3pw+nHtab+TVe5KvNfRfWJE6qEnhZ7n0Cf/7WTJfYPXhc9eusyx56tXKu+bxDA1wPz2IPrHItiZFtBbK/QB7qGve3x1Moe+3MgOuqEK3DwyDMM4hRxw+j1q3i7vTuF1q/jGO1db/q7S73V0TGNT9avQ5+qhr7Q2CYZ76BmmJMwXxnhjKT+nHvoZIR86Qj406plgLgVmWKEvDfKM20ozX2IYhnESueS+UvcVlV5yTwp9Sg99tN4U+uxz6L0c0FccfEYYpgTMagkAAA6PTKX8nGbQd4S8UBQF64+bAbeqYOHMUNpzMPWFPA7H6bm89UyL5EcQ4koYhmFqGLnEfroM8XLhr/CSe0uX+xgr9AAQKYEpHuMMlfdNYpgawDBViaf8fGDcUOgB4NvvPgnDk1Hh8snUL6zQlwZ5dF2lKlYMwzBOIJvQTdfIulykKPS+ykteGy73yYBe0zQRyNaNQu+iOfSppnilmEPPOAOfEYYpAVZjTwCphz6Y7Ov1uFQO5hkARgmb16XWzaahHDTLCj0nShiGqWHke0elmu3K1WiVmLymHnoK6MMxI6itl3tzzh76OqlUqCb4jDBMCaDeeNlUBZBc7jmIZ0zQqLoZIW+ORzL50ByQTPG4h55hmBqmoQoUer+nsk3xzD30ZIgH1E/JfWaXe+6hr1R4d8MwJSBkNcc0FhcZ33YO2hgT89uDuOXy5VjQwX4KTiL30LMpHsMwtUyDp/IDelmhr8SqKfMcehpZ51KVuik1z9hDH+ce+kql8r5JDFMDGBleI6AfHE+W27tVhU3PGEs2nj5/ug+h5pB76FmhZximlmmohpJ7T2X7xTSaeujJ4b5e1HnAcLlPmBX6GPfQVyp8RhimBJgzvIDhcD8j5J222bAMU2+k9NBzQM8wTA0jB52VqtDLfehNFRnQ63Pow6k99PXSPw/wHPpqhM8Iw5QA+YagackF8Sj1zwe5f55hykVLg9HewiX3DMPUMqqqCJW+UsfWpc6hr7xqxZDJA0nMoK8rhT5HD30dfRbVAp8RhikBdEOIJzRM6YYqskLPMEx5aOaSe4Zh6ggK5Ct1TKevwke00jFF4glMReNCofexQs899BUMB/QMUwICXhcUfb0bDSedUgd0hZ7H1DFM+Wj0uUEdLhzQMwxT61S6Qi+Xrlfimhz0usX+bSwcq88eeppDnzDPoeeS+0qFzwjDlABFUdKM8QbGU2fQMwxTelRVQW9bAKoCdDZxMo1hmNqGxsJVag+9W1UwI+iF162io7Hy1mRVVRDyGvs3GlvHCj2b4lUylZcaY5gaodHnxuhUTPRh0Qz6Ni65Z5iy8oP3nYyBsTBmNvmn+1AYhmFKSqWX3CuKgruvXYfxcLwie+iB5Di90XBy/0Zj6+qrhz75XnkOffVQmd92hqkBQn43MGw4pQ5NJEvv2wIc0DNMOVk4M4SFM0PTfRgMwzAlh8biNjVU7hZ/aVfTdB9CVhr9bhwaBkanosIHiRV6IMw99BVL5X7bGabKMZfcH5tIlty3cEDPMAzDMEwJuPG8RVjc2YizFndM96FULWL/Fo4hXJcKvd5DHzeX3OsBfR19FtUCB/QMUyJCplmmpNC3BiqzxIxhGIZhmOpm3YIZWLdgxnQfRlVDrQCjUzGh0NfTHHoXz6GvOviMMEyJaBSzTJOBPCn0rWyKxzAMwzAMU5GE/Mb+jRT6enK5d6uZXO6TAT730FcerNAzTImgWaZj4RjiCQ3Dk8nAvoUVeoZhGIZhmIqkyW+0TEZ1lZoVenkOPQf0lQYH9AxTIuQerJHJKDR9XWxpYIWeYRiGYRimEqH9G7VMAvWq0Gdwua+jz6Ja4DPCMCUiJGV4qdw+5HPzQsgwDMMwDFOhUA/9yFQM4Vg99tAn96mZe+jZ5b7SYIWeYUqEyPBOxXBsgsvtGYZhGIZhKh1Zode0ZCDv99SPGGOl0GuahqOjYQBAwMvhY6XBZ4RhSoTcQz9Ehng8so5hGIZhGKZiaRQVllER3Prc9aTQp/fQbz04gsMjYTR4XDhxdvN0HRqTgfpJNzFMmQn59LF1rNAzDMMwDMNUBVRyPzgewVRUn0NfTwq9K93l/sGXDwMAzlzUXlftB9UCK/QMUyJEDz0r9AzDMAzDMFXB8T1NAJKqtKueFfq4odBTQH/B8s5pOSYmO/WTbmKYMmP0YEWNGfSs0DMMwzAMw1QsvW0BLOlsRDyhYfO+IQCAr54UelMP/YGhSbx8aASqApy7dOZ0HhqTgfq5OhmmzIge+pSSe1boGYZhGIZhKplzlyUDVxo5XE9l5uRyH9ff/F90dX7N3FbMCPmm7biYzHBAzzAlwtoUjxV6hmEYhmGYSuY8kxJdz3Po/7KNy+0rnfq5OhmmzFDJfTSuoW94CgDQGmSFnmEYhmEYppJZPac1RYSpL4Xe6KEfmYri7zsHAADnL+OAvlLhgJ5hSkRQmtO579gkAC65ZxiGYRiGqXRcqoJzlhgqfb0q9C/uG0Y0rmHujAAWdISm+ciYTNTP1ckwZUZVFaHSHx0NA+CSe4ZhGIZhmGqA+uiBOlXoEwlh6tzV5J/OQ2JywAE9w5QQCugJHlvHMAzDMAxT+Zy1uEOo1XLVZa1jzKHXMDyZNHVubmBBqpKpn6uTYaaBkN8NjBj/bmGFnmEYhmEYpuJp8nvwlStXYM/gBHrbGqb7cMqGqpBCzwF9tcABPcOUEFmhd0sl+AzDMAzDMExl885T5kz3IZQdN42t44C+auCSe4YpITS6Dkga4il61pNhGIZhGIZhKg2jh17D8AQH9NUAB/QMU0JkRZ4N8RiGYRiGYZhKxqqHnltGKxsO6BmmhMgKPRviMQzDMAzDMJWMMYc+IQL6JlboKxoO6BmmhIR8xgLI2U2GYRiGYRimkpHn0HMPfXXAAT3DlJAQK/QMwzAMwzBMlZDSQ88BfVXAAT3DlJBGqYe+JciLIcMwDMMwDFO5yC73IxzQVwUc0DNMCWGFnmEYhmEYhqkWZIV+NBwDkJzUxFQuVRPQDw4O4t3vfjeamprQ0tKCa665BmNjY1n/5g1veAMURUn57/rrry/TETMMu9wzDMMwDMMw1QP10Ms0SQIVU3lUzdl597vfjUOHDuHBBx9ENBrFxo0bcd111+GnP/1p1r+79tpr8aUvfUn8OxAIlPpQGUYQMs2hZxiGYRiGYZhKxeVKDehDPjfcrqrRgOuSqgjot23bhgceeADPPPMM1q5dCwD45je/iUsvvRS33XYbenp6Mv5tIBBAV1dXuQ6VYVJo9HHJPcMwDMMwDFMdmBV67p+vfKoi3fLUU0+hpaVFBPMAcP7550NVVfzjH//I+rd333032tvbsWLFCtx8882YmJjI+vhwOIyRkZGU/ximUFJ76HlBZBiGYRiGYSoXlymg5xn0lU9VKPR9fX2YOXNmys/cbjfa2trQ19eX8e+uvvpqzJ07Fz09PXjxxRfxmc98Bq+++ip+/etfZ/ybW2+9FV/84hcdO3amvmn0y3PoWaFnGIZhGIZhKhdyuSeaG6oiXKxrpvUM/fM//zO++tWvZn3Mtm3bCn7+6667Tvz/E044Ad3d3TjvvPOwY8cOHHfccZZ/c/PNN+Omm24S/x4ZGUFvb2/Bx8DUN60BD7xuFR5VQQsr9AzDMAzDMEwFY/bEa2lgQarSmdaA/hOf+ATe//73Z33MggUL0NXVhSNHjqT8PBaLYXBwMK/++HXr1gEAXn/99YwBvc/ng8/ns/2cDJONgNeNuzaeDK9LhYcNRRiGYRiGYZgKRlEUuFUFsYQGgHvoq4FpDeg7OjrQ0dGR83Hr16/H0NAQNm3ahDVr1gAAHn74YSQSCRGk22Hz5s0AgO7u7oKOl2EK4bTj2qf7EBiGYRiGYRjGFi45oOcK04qnKiTDZcuW4eKLL8a1116Lp59+Gk888QRuuOEGvPOd7xQO9wcOHMDSpUvx9NNPAwB27NiBL3/5y9i0aRN2796N3/72t9iwYQPOOussnHjiidP5dhiGYRiGYRiGYSoS2RiPFfrKpyoCeiDpVr906VKcd955uPTSS3HGGWfgu9/9rvh9NBrFq6++KlzsvV4v/vKXv+DCCy/E0qVL8YlPfAJvfetb8bvf/W663gLDMAzDMAzDMExFIwf07HJf+VSNbWFbWxt++tOfZvz9vHnzoGma+Hdvby8ee+yxchwawzAMwzAMwzBMTSDPom/hgL7iqRqFnmEYhmEYhmEYhiktLml0HZfcVz4c0DMMwzAMwzAMwzAAUhV6DugrHw7oGYZhGIZhGIZhGABsildtcEDPMAzDMAzDMAzDAADcLg7oqwkO6BmGYRiGYRiGYRgA7HJfbXBAzzAMwzAMwzAMwwAweugb/e6U4J6pTDigZxiGYRiGYRiGYQAYLvdcbl8dcEDPMAzDMAzDMAzDADAUeg7oqwMO6BmGYRiGYRiGYRgARg89B/TVAQf0DMMwDMMwDMMwDABW6KsNDugZhmEYhmEYhmEYAIZC3xLggL4a4ICeYRiGYRiGYRiGAWDMoeeRddUBB/QMwzAMwzAMwzAMAHa5rzY4oGcYhmEYhmEYhmEAAF5XMkRsDXin+UgYO7in+wAYhmEYhmEYhmGYymDj6fPg96i4cHnndB8KYwMO6BmGYRiGYRiGYRgAwOkL23H6wvbpPgzGJlxyzzAMwzAMwzAMwzBVCAf0DMMwDMMwDMMwDFOFcEDPMAzDMAzDMAzDMFUIB/QMwzAMwzAMwzAMU4VwQM8wDMMwDMMwDMMwVQgH9AzDMAzDMAzDMAxThXBAzzAMwzAMwzAMwzBVCAf0DMMwDMMwDMMwDFOFcEDPMAzDMAzDMAzDMFUIB/QMwzAMwzAMwzAMU4VwQM8wDMMwDMMwDMMwVQgH9AzDMAzDMAzDMAxThXBAzzAMwzAMwzAMwzBVCAf0DMMwDMMwDMMwDFOFcEDPMAzDMAzDMAzDMFUIB/QMwzAMwzAMwzAMU4VwQM8wDMMwDMMwDMMwVQgH9AzDMAzDMAzDMAxThbin+wAqHU3TAAAjIyPTfCQMwzAMwzAMwzBMPUDxJ8WjmeCAPgejo6MAgN7e3mk+EoZhGIZhGIZhGKaeGB0dRXNzc8bfK1qukL/OSSQSOHjwIBobG6EoynQfTkUxMjKC3t5e7Nu3D01NTdN9OEwR8LmsHfhc1g58LmsHPpe1A5/L2oHPZe1Qq+dS0zSMjo6ip6cHqpq5U54V+hyoqorZs2dP92FUNE1NTTX15aln+FzWDnwuawc+l7UDn8vagc9l7cDnsnaoxXOZTZkn2BSPYRiGYRiGYRiGYaoQDugZhmEYhmEYhmEYpgrhgJ4pGJ/Ph1tuuQU+n2+6D4UpEj6XtQOfy9qBz2XtwOeyduBzWTvwuawd6v1csikewzAMwzAMwzAMw1QhrNAzDMMwDMMwDMMwTBXCAT3DMAzDMAzDMAzDVCEc0DMMwzAMwzAMwzBMFcIBPcMwDMMwDMMwDMNUIRzQ1zl//etfcfnll6OnpweKouDee+9N+f3hw4fx/ve/Hz09PQgEArj44ouxffv2lMfs2LEDb37zm9HR0YGmpia84x3vwOHDh9Ne6w9/+APWrVuHhoYGtLa24sorryzhO6svbr31Vpx88slobGzEzJkzceWVV+LVV19NeczU1BQ++tGPYsaMGQiFQnjrW9+adp727t2LN77xjQgEApg5cyY+9alPIRaLpTzm0UcfxUknnQSfz4eFCxfirrvuKvXbqyvKeS6JJ554Am63G6tWrSrV26pLynku7777bqxcuRKBQADd3d34wAc+gIGBgZK/x3rBqXP5T//0T1izZg18Pp/l9+3RRx/FFVdcge7ubgSDQaxatQp33313Kd9a3VGucwkAmqbhtttuw+LFi+Hz+TBr1iz8n//zf0r11uoOJ87lCy+8gHe9613o7e1FQ0MDli1bhm984xtpr8V7n9JSznNJ1NLehwP6Omd8fBwrV67Et7/97bTfaZqGK6+8Ejt37sR9992H559/HnPnzsX555+P8fFx8fcXXnghFEXBww8/jCeeeAKRSASXX345EomEeK5f/epXeO9734uNGzfihRdewBNPPIGrr766bO+z1nnsscfw0Y9+FH//+9/x4IMPIhqN4sILLxTnCQA+/vGP43e/+x3uuecePPbYYzh48CDe8pa3iN/H43G88Y1vRCQSwZNPPokf/ehHuOuuu/D5z39ePGbXrl144xvfiHPOOQebN2/Gxz72MXzwgx/En/70p7K+31qmXOeSGBoawoYNG3DeeeeV5f3VE+U6l0888QQ2bNiAa665Blu3bsU999yDp59+Gtdee21Z328t48S5JD7wgQ/gqquusnydJ598EieeeCJ+9atf4cUXX8TGjRuxYcMG/P73vy/Ze6s3ynUuAeDGG2/E97//fdx222145ZVX8Nvf/hannHJKSd5XPeLEudy0aRNmzpyJn/zkJ9i6dSv+5V/+BTfffDO+9a1vicfw3qf0lOtcEjW399EYRgeA9pvf/Eb8+9VXX9UAaFu2bBE/i8fjWkdHh/a9731P0zRN+9Of/qSpqqoNDw+LxwwNDWmKomgPPvigpmmaFo1GtVmzZmnf//73y/NGGO3IkSMaAO2xxx7TNC15Tjwej3bPPfeIx2zbtk0DoD311FOapmna/fffr6mqqvX19YnH/Od//qfW1NSkhcNhTdM07dOf/rR2/PHHp7zWVVddpV100UWlfkt1S6nOJXHVVVdpn/vc57RbbrlFW7lyZenfUB1TqnP5//7f/9MWLFiQ8lp33HGHNmvWrFK/pbqlkHMpk8/37dJLL9U2btzoyHEz6ZTqXL788sua2+3WXnnllZIdO5NKseeS+MhHPqKdc8454t+89yk/pTqXRK3tfVihZzISDocBAH6/X/xMVVX4fD48/vjj4jGKosDn84nH+P1+qKoqHvPcc8/hwIEDUFUVq1evRnd3Ny655BJs2bKljO+mvhgeHgYAtLW1AUhmLaPRKM4//3zxmKVLl2LOnDl46qmnAABPPfUUTjjhBHR2dorHXHTRRRgZGcHWrVvFY+TnoMfQczDOU6pzCQA//OEPsXPnTtxyyy3leCt1T6nO5fr167Fv3z7cf//90DQNhw8fxi9/+Utceuml5XprdUch57KY16LXYZynVOfyd7/7HRYsWIDf//73mD9/PubNm4cPfvCDGBwcdPYNMAKnzqX5O8d7n/JTqnMJ1ObehwN6JiP0Rbn55ptx7NgxRCIRfPWrX8X+/ftx6NAhAMCpp56KYDCIz3zmM5iYmMD4+Dg++clPIh6Pi8fs3LkTAPCFL3wBn/vc5/D73/8era2teMMb3sA3thKQSCTwsY99DKeffjpWrFgBAOjr64PX60VLS0vKYzs7O9HX1yceIwcN9Hv6XbbHjIyMYHJyshRvp64p5bncvn07/vmf/xk/+clP4Ha7S/xOmFKey9NPPx133303rrrqKni9XnR1daG5udmylYopnkLPZSH84he/wDPPPIONGzcWc8hMBkp5Lnfu3Ik9e/bgnnvuwX//93/jrrvuwqZNm/C2t73NybfA6Dh1Lp988kn8/Oc/x3XXXSd+xnuf8lLKc1mrex8O6JmMeDwe/PrXv8Zrr72GtrY2BAIBPPLII7jkkkugqslLp6OjA/fccw9+97vfIRQKobm5GUNDQzjppJPEY6iX/l/+5V/w1re+FWvWrMEPf/hDKIqCe+65Z9reX63y0Y9+FFu2bMHPfvaz6T4UpkhKdS7j8TiuvvpqfPGLX8TixYsdfW7GmlJ+L19++WXceOON+PznP49NmzbhgQcewO7du3H99dc7/lpM+dbYRx55BBs3bsT3vvc9HH/88SV9rXqllOcykUggHA7jv//7v3HmmWfiDW94A37wgx/gkUceSTP7YorHiXO5ZcsWXHHFFbjllltw4YUXOnh0TD6U6lzW8t6ndlITTElYs2YNNm/ejOHhYUQiEXR0dGDdunVYu3ateMyFF16IHTt2oL+/H263Gy0tLejq6sKCBQsAAN3d3QCA5cuXi7/x+XxYsGAB9u7dW943VOPccMMN+P3vf4+//vWvmD17tvh5V1cXIpEIhoaGUrKbhw8fRldXl3jM008/nfJ85B4qP8bs9Hv48GE0NTWhoaGhFG+pbinluRwdHcWzzz6L559/HjfccAOA5OZT0zS43W78+c9/xrnnnlvid1g/lPp7eeutt+L000/Hpz71KQDAiSeeiGAwiDPPPBNf+cpXxBrMFE8x5zIfHnvsMVx++eX4+te/jg0bNjhx6IyJUp/L7u5uuN3ulMBh2bJlAJKTK5YsWVL8m2AAOHMuX375ZZx33nm47rrr8LnPfS7ld7z3KR+lPJe1vPdhhZ6xRXNzMzo6OrB9+3Y8++yzuOKKK9Ie097ejpaWFjz88MM4cuQI3vSmNwGAGOsiZ6Sj0Sh2796NuXPnlu091DKapuGGG27Ab37zGzz88MOYP39+yu/XrFkDj8eDhx56SPzs1Vdfxd69e7F+/XoAyT7cl156CUeOHBGPefDBB9HU1CSSMevXr095DnoMPQdTPOU4l01NTXjppZewefNm8d/111+PJUuWYPPmzVi3bl153myNU67v5cTEhKiIIlwulzgGpnicOJd2efTRR/HGN74RX/3qV1NKRRlnKNe5PP300xGLxbBjxw7xs9deew0AeO/jEE6dy61bt+Kcc87B+973Psuxgrz3KT3lOJc1vfeZJjM+pkIYHR3Vnn/+ee3555/XAGi333679vzzz2t79uzRNE3TfvGLX2iPPPKItmPHDu3ee+/V5s6dq73lLW9JeY4777xTe+qpp7TXX39d+/GPf6y1tbVpN910U8pjbrzxRm3WrFnan/70J+2VV17RrrnmGm3mzJna4OBg2d5rLfPhD39Ya25u1h599FHt0KFD4r+JiQnxmOuvv16bM2eO9vDDD2vPPvustn79em39+vXi97FYTFuxYoV24YUXaps3b9YeeOABraOjQ7v55pvFY3bu3KkFAgHtU5/6lLZt2zbt29/+tuZyubQHHnigrO+3linXuTRTK06vlUS5zuUPf/hDze12a//xH/+h7dixQ3v88ce1tWvXaqecckpZ328t48S51DRN2759u/b8889rH/rQh7TFixeL+y9NLHj44Ye1QCCg3XzzzSmvMzAwUNb3W8uU61zG43HtpJNO0s466yztueee05599llt3bp12gUXXFDW91vLOHEuX3rpJa2jo0N7z3vek/IcR44cEY/hvU/pKde5NFMrex8O6OucRx55RAOQ9t/73vc+TdM07Rvf+IY2e/ZszePxaHPmzNE+97nPpY29+sxnPqN1dnZqHo9HW7Rokfa1r31NSyQSKY+JRCLaJz7xCW3mzJlaY2Ojdv7556eMw2OKw+ocAtB++MMfisdMTk5qH/nIR7TW1lYtEAhob37zm7VDhw6lPM/u3bu1Sy65RGtoaNDa29u1T3ziE1o0Gk15zCOPPKKtWrVK83q92oIFC1Jegymecp5LmVq5qVUS5TyXd9xxh7Z8+XKtoaFB6+7u1t797ndr+/fvL8fbrAucOpdnn3225fPs2rVL0zRNe9/73mf5+7PPPrt8b7bGKde51DRNO3DggPaWt7xFC4VCWmdnp/b+97+fkzMO4sS5vOWWWyyfY+7cuSmvxXuf0lLOcylTK3sfRdO4Ho9hGIZhGIZhGIZhqg3uoWcYhmEYhmEYhmGYKoQDeoZhGIZhGIZhGIapQjigZxiGYRiGYRiGYZgqhAN6hmEYhmEYhmEYhqlCOKBnGIZhGIZhGIZhmCqEA3qGYRiGYRiGYRiGqUI4oGcYhmEYhmEYhmGYKoQDeoZhGIZhGIZhGIapQjigZxiGYRiGYRiGYZgqhAN6hmEYhmEy8v73vx+KokBRFHg8HnR2duKCCy7AnXfeiUQiYft57rrrLrS0tJTuQBmGYRimDuGAnmEYhmGYrFx88cU4dOgQdu/ejT/+8Y8455xzcOONN+Kyyy5DLBab7sNjGIZhmLqFA3qGYRiGYbLi8/nQ1dWFWbNm4aSTTsJnP/tZ3HffffjjH/+Iu+66CwBw++2344QTTkAwGERvby8+8pGPYGxsDADw6KOPYuPGjRgeHhZq/xe+8AUAwI9//GOsXbsWjY2N6OrqwtVXX40jR45M0ztlGIZhmOqCA3qGYRiGYfLm3HPPxcqVK/HrX/8aAKCqKu644w5s3boVP/rRj/Dwww/j05/+NADgtNNOw7//+7+jqakJhw4dwqFDh/DJT34SABCNRvHlL38ZL7zwAu69917s3r0b73//+6frbTEMwzBMVeGe7gNgGIZhGKY6Wbp0KV588UUAwMc+9jHx83nz5uErX/kKrr/+evzHf/wHvF4vmpuboSgKurq6Up7jAx/4gPj/CxYswB133IGTTz4ZY2NjCIVCZXkfDMMwDFOtsELPMAzDMExBaJoGRVEAAH/5y19w3nnnYdasWWhsbMR73/teDAwMYGJiIutzbNq0CZdffjnmzJmDxsZGnH322QCAvXv3lvz4GYZhGKba4YCeYRiGYZiC2LZtG+bPn4/du3fjsssuw4knnohf/epX2LRpE7797W8DACKRSMa/Hx8fx0UXXYSmpibcfffdeOaZZ/Cb3/wm598xDMMwDJOES+4ZhmEYhsmbhx9+GC+99BI+/vGPY9OmTUgkEvja174GVU1qBb/4xS9SHu/1ehGPx1N+9sorr2BgYAD/9m//ht7eXgDAs88+W543wDAMwzA1ACv0DMMwDMNkJRwOo6+vDwcOHMBzzz2Hf/3Xf8UVV1yByy67DBs2bMDChQsRjUbxzW9+Ezt37sSPf/xjfOc730l5jnnz5mFsbAwPPfQQ+vv7MTExgTlz5sDr9Yq/++1vf4svf/nL0/QuGYZhGKb64ICeYRiGYZisPPDAA+ju7sa8efNw8cUX45FHHsEdd9yB++67Dy6XCytXrsTtt9+Or371q1ixYgXuvvtu3HrrrSnPcdppp+H666/HVVddhY6ODvzf//t/0dHRgbvuugv33HMPli9fjn/7t3/DbbfdNk3vkmEYhmGqD0XTNG26D4JhGIZhGIZhGIZhmPxghZ5hGIZhGIZhGIZhqhAO6BmGYRiGYRiGYRimCuGAnmEYhmEYhmEYhmGqEA7oGYZhGIZhGIZhGKYK4YCeYRiGYRiGYRiGYaoQDugZhmEYhmEYhmEYpgrhgJ5hGIZhGIZhGIZhqhAO6BmGYRiGYRiGYRimCuGAnmEYhmEYhmEYhmGqEA7oGYZhGIZhGIZhGKYK4YCeYRiGYRiGYRiGYaqQ/w/bk55Jr85GtQAAAABJRU5ErkJggg==\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df['data_numeric'] = pd.to_numeric(pd.to_datetime(df['data']))\n",
        "sns.regplot(data=df, x='data_numeric', y='inflacao')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 467
        },
        "id": "R5xreaq9HV5w",
        "outputId": "8fe37a3b-5456-4ace-e8b3-adc5a8dc57ac"
      },
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Axes: xlabel='data_numeric', ylabel='inflacao'>"
            ]
          },
          "metadata": {},
          "execution_count": 13
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "modelo = smf.ols(formula='data_numeric ~ inflacao', data=df).fit()\n",
        "print(modelo.summary())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "eBRAP5gVPOjp",
        "outputId": "cafc5373-0255-4277-ff44-3a53a66667c4"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                            OLS Regression Results                            \n",
            "==============================================================================\n",
            "Dep. Variable:           data_numeric   R-squared:                       0.054\n",
            "Model:                            OLS   Adj. R-squared:                  0.051\n",
            "Method:                 Least Squares   F-statistic:                     20.03\n",
            "Date:                Fri, 09 Aug 2024   Prob (F-statistic):           1.03e-05\n",
            "Time:                        20:05:58   Log-Likelihood:                -14699.\n",
            "No. Observations:                 354   AIC:                         2.940e+04\n",
            "Df Residuals:                     352   BIC:                         2.941e+04\n",
            "Df Model:                           1                                         \n",
            "Covariance Type:            nonrobust                                         \n",
            "==============================================================================\n",
            "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
            "------------------------------------------------------------------------------\n",
            "Intercept   1.326e+18   2.15e+16     61.673      0.000    1.28e+18    1.37e+18\n",
            "inflacao   -1.345e+17      3e+16     -4.475      0.000   -1.94e+17   -7.54e+16\n",
            "==============================================================================\n",
            "Omnibus:                      105.601   Durbin-Watson:                   0.035\n",
            "Prob(Omnibus):                  0.000   Jarque-Bera (JB):               17.660\n",
            "Skew:                           0.055   Prob(JB):                     0.000146\n",
            "Kurtosis:                       1.911   Cond. No.                         2.92\n",
            "==============================================================================\n",
            "\n",
            "Notes:\n",
            "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Série histórica anual"
      ],
      "metadata": {
        "id": "PnYSA_NSC4ER"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "media_ano = ((df.groupby('ano')['inflacao'].mean()).round(2)).reset_index()\n",
        "media_ano['ano'] = pd.to_numeric(media_ano['ano'].astype(str))\n",
        "media_ano['inflacao'] = pd.to_numeric(media_ano['inflacao'])\n",
        "media_ano.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "ZYYlYjVjDfgI",
        "outputId": "278b63f6-0b29-413f-a048-73c3bee4d69e"
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "    ano  inflacao\n",
              "0  1995      1.70\n",
              "1  1996      0.76\n",
              "2  1997      0.43\n",
              "3  1998      0.14\n",
              "4  1999      0.72"
            ],
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              "\n",
              "  <div id=\"df-c07ed42d-85b2-41bc-85e4-335b65ff7ed7\" class=\"colab-df-container\">\n",
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              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>ano</th>\n",
              "      <th>inflacao</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1995</td>\n",
              "      <td>1.70</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1996</td>\n",
              "      <td>0.76</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1997</td>\n",
              "      <td>0.43</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>1998</td>\n",
              "      <td>0.14</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>1999</td>\n",
              "      <td>0.72</td>\n",
              "    </tr>\n",
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              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-c07ed42d-85b2-41bc-85e4-335b65ff7ed7')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-c07ed42d-85b2-41bc-85e4-335b65ff7ed7 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-c07ed42d-85b2-41bc-85e4-335b65ff7ed7');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-10cf6398-4fe4-4e4a-8c88-1b7b776b9d60\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-10cf6398-4fe4-4e4a-8c88-1b7b776b9d60')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-10cf6398-4fe4-4e4a-8c88-1b7b776b9d60 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "media_ano",
              "summary": "{\n  \"name\": \"media_ano\",\n  \"rows\": 30,\n  \"fields\": [\n    {\n      \"column\": \"ano\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 8,\n        \"min\": 1995,\n        \"max\": 2024,\n        \"num_unique_values\": 30,\n        \"samples\": [\n          2022,\n          2010,\n          2018\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"inflacao\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.2905422991342343,\n        \"min\": 0.14,\n        \"max\": 1.7,\n        \"num_unique_values\": 26,\n        \"samples\": [\n          0.75,\n          0.47,\n          1.7\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "x=media_ano['ano']\n",
        "y=media_ano['inflacao']\n",
        "\n",
        "plt.figure(figsize=(12,6))\n",
        "sns.lineplot(data=media_ano, x='ano', y='inflacao', marker='o')\n",
        "plt.title('Inflação média anual ao longo do tempo')\n",
        "plt.xlabel('Ano')\n",
        "plt.ylabel('Inflação (%)')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 565
        },
        "id": "FZJsJ9TiChYv",
        "outputId": "df3dcce7-509f-4a5a-b554-94b858d1ae4e"
      },
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Prevendo o futuro"
      ],
      "metadata": {
        "id": "n0UzFojaR6FM"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Criação do modelo de previsão com o *Prophet*"
      ],
      "metadata": {
        "id": "p3uLalWRHKIQ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df_prophet = df[['data', 'inflacao']].rename(columns={'data': 'ds', 'inflacao': 'y'})\n",
        "df_prophet.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "WjI1kuQfHeFJ",
        "outputId": "4df4110b-a943-4898-a521-e44d82e8b057"
      },
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "          ds     y\n",
              "0 1995-01-01  1.70\n",
              "1 1995-02-01  1.02\n",
              "2 1995-03-01  1.55\n",
              "3 1995-04-01  2.43\n",
              "4 1995-05-01  2.67"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-19991ec1-f9c3-468c-b826-ba181336074f\" class=\"colab-df-container\">\n",
              "    <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>ds</th>\n",
              "      <th>y</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1995-01-01</td>\n",
              "      <td>1.70</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1995-02-01</td>\n",
              "      <td>1.02</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1995-03-01</td>\n",
              "      <td>1.55</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>1995-04-01</td>\n",
              "      <td>2.43</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>1995-05-01</td>\n",
              "      <td>2.67</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-19991ec1-f9c3-468c-b826-ba181336074f')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
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              "    </button>\n",
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              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-19991ec1-f9c3-468c-b826-ba181336074f button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-19991ec1-f9c3-468c-b826-ba181336074f');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-cd32c21b-7aa8-457f-a2b3-ab787de4dbaa\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-cd32c21b-7aa8-457f-a2b3-ab787de4dbaa')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
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              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-cd32c21b-7aa8-457f-a2b3-ab787de4dbaa button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df_prophet",
              "summary": "{\n  \"name\": \"df_prophet\",\n  \"rows\": 354,\n  \"fields\": [\n    {\n      \"column\": \"ds\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": \"1995-01-01 00:00:00\",\n        \"max\": \"2024-06-01 00:00:00\",\n        \"num_unique_values\": 354,\n        \"samples\": [\n          \"2013-05-01 00:00:00\",\n          \"1998-07-01 00:00:00\",\n          \"2018-11-01 00:00:00\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"y\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.4643964895283381,\n        \"min\": -0.68,\n        \"max\": 3.02,\n        \"num_unique_values\": 145,\n        \"samples\": [\n          0.36,\n          -0.36,\n          0.41\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "np.random.seed(2508)\n",
        "\n",
        "modelo = Prophet()\n",
        "modelo.fit(df_prophet)\n",
        "\n",
        "futuro = modelo.make_future_dataframe(periods=19, freq='M')\n",
        "previsao = modelo.predict(futuro)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "POuJ-8OADLc_",
        "outputId": "8299f151-afe1-45d0-db62-8bdfad3b364a"
      },
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "INFO:prophet:Disabling weekly seasonality. Run prophet with weekly_seasonality=True to override this.\n",
            "INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n",
            "DEBUG:cmdstanpy:input tempfile: /tmp/tmpkbfpux8p/0zncx4d2.json\n",
            "DEBUG:cmdstanpy:input tempfile: /tmp/tmpkbfpux8p/10r7rwrv.json\n",
            "DEBUG:cmdstanpy:idx 0\n",
            "DEBUG:cmdstanpy:running CmdStan, num_threads: None\n",
            "DEBUG:cmdstanpy:CmdStan args: ['/usr/local/lib/python3.10/dist-packages/prophet/stan_model/prophet_model.bin', 'random', 'seed=34621', 'data', 'file=/tmp/tmpkbfpux8p/0zncx4d2.json', 'init=/tmp/tmpkbfpux8p/10r7rwrv.json', 'output', 'file=/tmp/tmpkbfpux8p/prophet_modelhp3xxiy9/prophet_model-20240809200600.csv', 'method=optimize', 'algorithm=lbfgs', 'iter=10000']\n",
            "20:06:00 - cmdstanpy - INFO - Chain [1] start processing\n",
            "INFO:cmdstanpy:Chain [1] start processing\n",
            "20:06:00 - cmdstanpy - INFO - Chain [1] done processing\n",
            "INFO:cmdstanpy:Chain [1] done processing\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "fig1 = modelo.plot(previsao)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 696
        },
        "id": "k44RHhaFchx3",
        "outputId": "5e368dd0-63c5-4f26-8e1c-ab2e35d7a4d0"
      },
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/prophet/plot.py:72: FutureWarning: The behavior of DatetimeProperties.to_pydatetime is deprecated, in a future version this will return a Series containing python datetime objects instead of an ndarray. To retain the old behavior, call `np.array` on the result\n",
            "  fcst_t = fcst['ds'].dt.to_pydatetime()\n",
            "/usr/local/lib/python3.10/dist-packages/prophet/plot.py:73: FutureWarning: The behavior of DatetimeProperties.to_pydatetime is deprecated, in a future version this will return a Series containing python datetime objects instead of an ndarray. To retain the old behavior, call `np.array` on the result\n",
            "  ax.plot(m.history['ds'].dt.to_pydatetime(), m.history['y'], 'k.',\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from prophet.plot import plot_plotly\n",
        "fig = plot_plotly(modelo, previsao)\n",
        "fig.update_layout(\n",
        "    width=1000, height=500,\n",
        "    xaxis={'tickangle': -45},\n",
        "    font_family='Arial',\n",
        "    font_size=14,\n",
        "    font_color='grey',\n",
        "    title_font_color='black',\n",
        "    title_font_size=22,\n",
        "    xaxis_title='Ano',\n",
        "    yaxis_title='Taxa de inflação (%)',\n",
        "    title='Taxa mensal de inflação acumulada de 1995 a dezembro de 2025')\n",
        "fig.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 572
        },
        "id": "BGqmncGvaexc",
        "outputId": "241fd1bc-f7c7-4574-c49e-58bd3480b710"
      },
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/_plotly_utils/basevalidators.py:105: FutureWarning: The behavior of DatetimeProperties.to_pydatetime is deprecated, in a future version this will return a Series containing python datetime objects instead of an ndarray. To retain the old behavior, call `np.array` on the result\n",
            "  v = v.dt.to_pydatetime()\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
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    {
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      "source": [
        "fig.write_html('inflacao.html')"
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      "metadata": {
        "id": "O0gz2FuWeRhI"
      },
      "execution_count": 21,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Intervalos de confiança do modelo"
      ],
      "metadata": {
        "id": "9Xg7TTBaRy-d"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "previsao[['ds', 'yhat', 'yhat_lower', 'yhat_upper']]"
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          "height": 424
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        "id": "3x-9CtBORLD2",
        "outputId": "d8a56d87-90be-4352-b613-cc659feddda0"
      },
      "execution_count": 22,
      "outputs": [
        {
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          "data": {
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              "            ds      yhat  yhat_lower  yhat_upper\n",
              "0   1995-01-01  1.018163    0.457689    1.588200\n",
              "1   1995-02-01  0.936031    0.406997    1.492145\n",
              "2   1995-03-01  0.959707    0.447465    1.498749\n",
              "3   1995-04-01  0.920280    0.363915    1.483135\n",
              "4   1995-05-01  0.788879    0.271789    1.327326\n",
              "..         ...       ...         ...         ...\n",
              "368 2025-08-31  0.282294   -0.241964    0.844758\n",
              "369 2025-09-30  0.462348   -0.033945    0.994641\n",
              "370 2025-10-31  0.503183   -0.037995    1.035542\n",
              "371 2025-11-30  0.535622    0.015373    1.050521\n",
              "372 2025-12-31  0.528448   -0.025042    1.048263\n",
              "\n",
              "[373 rows x 4 columns]"
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              "      <th>ds</th>\n",
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              "      <th>yhat_upper</th>\n",
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              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1995-01-01</td>\n",
              "      <td>1.018163</td>\n",
              "      <td>0.457689</td>\n",
              "      <td>1.588200</td>\n",
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              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1995-02-01</td>\n",
              "      <td>0.936031</td>\n",
              "      <td>0.406997</td>\n",
              "      <td>1.492145</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1995-03-01</td>\n",
              "      <td>0.959707</td>\n",
              "      <td>0.447465</td>\n",
              "      <td>1.498749</td>\n",
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              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>1995-04-01</td>\n",
              "      <td>0.920280</td>\n",
              "      <td>0.363915</td>\n",
              "      <td>1.483135</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>1995-05-01</td>\n",
              "      <td>0.788879</td>\n",
              "      <td>0.271789</td>\n",
              "      <td>1.327326</td>\n",
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              "      <th>368</th>\n",
              "      <td>2025-08-31</td>\n",
              "      <td>0.282294</td>\n",
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              "      <td>0.844758</td>\n",
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              "    <tr>\n",
              "      <th>369</th>\n",
              "      <td>2025-09-30</td>\n",
              "      <td>0.462348</td>\n",
              "      <td>-0.033945</td>\n",
              "      <td>0.994641</td>\n",
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              "      <th>370</th>\n",
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              "      <td>0.503183</td>\n",
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              "      <td>1.035542</td>\n",
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              "      <th>371</th>\n",
              "      <td>2025-11-30</td>\n",
              "      <td>0.535622</td>\n",
              "      <td>0.015373</td>\n",
              "      <td>1.050521</td>\n",
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              "      <th>372</th>\n",
              "      <td>2025-12-31</td>\n",
              "      <td>0.528448</td>\n",
              "      <td>-0.025042</td>\n",
              "      <td>1.048263</td>\n",
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              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-55020223-ad23-48a4-a160-d2fffd9323bc\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-55020223-ad23-48a4-a160-d2fffd9323bc')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-55020223-ad23-48a4-a160-d2fffd9323bc button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "summary": "{\n  \"name\": \"previsao[['ds', 'yhat', 'yhat_lower', 'yhat_upper']]\",\n  \"rows\": 373,\n  \"fields\": [\n    {\n      \"column\": \"ds\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": \"1995-01-01 00:00:00\",\n        \"max\": \"2025-12-31 00:00:00\",\n        \"num_unique_values\": 373,\n        \"samples\": [\n          \"2022-04-01 00:00:00\",\n          \"1997-10-01 00:00:00\",\n          \"1996-04-01 00:00:00\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"yhat\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.17619586058507888,\n        \"min\": 0.13370831125351623,\n        \"max\": 1.0181629197646236,\n        \"num_unique_values\": 373,\n        \"samples\": [\n          0.4995163225917899,\n          0.7480066044344064,\n          0.8429995792482126\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"yhat_lower\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.17774261395845675,\n        \"min\": -0.38381282116146165,\n        \"max\": 0.4576891813290671,\n        \"num_unique_values\": 373,\n        \"samples\": [\n          -0.05390771143541792,\n          0.21868534929635794,\n          0.3277215348665733\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"yhat_upper\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.17757103006921982,\n        \"min\": 0.711368512794748,\n        \"max\": 1.5881995889079656,\n        \"num_unique_values\": 373,\n        \"samples\": [\n          1.0366931602791694,\n          1.2763600134146411,\n          1.3669193603327152\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 22
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Componentes do modelo"
      ],
      "metadata": {
        "id": "xOTuGj2pR3LT"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "fig2 = modelo.plot_components(previsao)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 835
        },
        "id": "Tpf5bhIsRLBs",
        "outputId": "900efbd3-8556-4fbd-f977-c918ce1365fa"
      },
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/prophet/plot.py:228: FutureWarning:\n",
            "\n",
            "The behavior of DatetimeProperties.to_pydatetime is deprecated, in a future version this will return a Series containing python datetime objects instead of an ndarray. To retain the old behavior, call `np.array` on the result\n",
            "\n",
            "/usr/local/lib/python3.10/dist-packages/prophet/plot.py:351: FutureWarning:\n",
            "\n",
            "The behavior of DatetimeProperties.to_pydatetime is deprecated, in a future version this will return a Series containing python datetime objects instead of an ndarray. To retain the old behavior, call `np.array` on the result\n",
            "\n",
            "/usr/local/lib/python3.10/dist-packages/prophet/plot.py:354: FutureWarning:\n",
            "\n",
            "The behavior of DatetimeProperties.to_pydatetime is deprecated, in a future version this will return a Series containing python datetime objects instead of an ndarray. To retain the old behavior, call `np.array` on the result\n",
            "\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 900x600 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    }
  ]
}