arima.ipynb

{
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      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/AniketP04/Stock_Price_Prediction/blob/main/arima.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "9eIFlEQuv_XT"
      },
      "outputs": [],
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "from numpy import diff\n",
        "import statsmodels.api as sm\n",
        "import scipy.stats as stats\n",
        "from statsmodels.tsa.stattools import adfuller\n",
        "import matplotlib.pyplot as plt\n",
        "from statsmodels.tsa.stattools import acf, pacf\n",
        "from statsmodels.graphics.tsaplots import plot_acf, plot_pacf\n",
        "import warnings\n",
        "warnings.filterwarnings('ignore')\n",
        "df=pd.read_csv(r'/content/RELIANCE.NS.csv',index_col=0)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
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          "base_uri": "https://localhost:8080/",
          "height": 237
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        "id": "X6Edb2x7wHCF",
        "outputId": "e988bb57-ab7c-4e27-bd3c-32d2f4a0e20b"
      },
      "outputs": [
        {
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              "      <th>Open</th>\n",
              "      <th>High</th>\n",
              "      <th>Low</th>\n",
              "      <th>Close</th>\n",
              "      <th>Adj Close</th>\n",
              "      <th>Volume</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Date</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>01-01-2015</th>\n",
              "      <td>438.988831</td>\n",
              "      <td>441.812073</td>\n",
              "      <td>437.676270</td>\n",
              "      <td>439.781311</td>\n",
              "      <td>417.988892</td>\n",
              "      <td>1367720</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>02-01-2015</th>\n",
              "      <td>439.880371</td>\n",
              "      <td>443.818054</td>\n",
              "      <td>437.998199</td>\n",
              "      <td>438.617340</td>\n",
              "      <td>416.882629</td>\n",
              "      <td>3383424</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>05-01-2015</th>\n",
              "      <td>438.344940</td>\n",
              "      <td>441.267212</td>\n",
              "      <td>432.946106</td>\n",
              "      <td>433.812897</td>\n",
              "      <td>412.316284</td>\n",
              "      <td>4662967</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>06-01-2015</th>\n",
              "      <td>430.915344</td>\n",
              "      <td>432.401276</td>\n",
              "      <td>412.093750</td>\n",
              "      <td>414.124512</td>\n",
              "      <td>393.603485</td>\n",
              "      <td>8596809</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>07-01-2015</th>\n",
              "      <td>414.619812</td>\n",
              "      <td>425.367950</td>\n",
              "      <td>414.570282</td>\n",
              "      <td>423.139069</td>\n",
              "      <td>402.171326</td>\n",
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              "          const element = document.querySelector('#df-bca185db-75cf-466d-8043-98157019ae9d');\n",
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              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
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              "\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",
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              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "                  Open        High         Low       Close   Adj Close  \\\n",
              "Date                                                                     \n",
              "01-01-2015  438.988831  441.812073  437.676270  439.781311  417.988892   \n",
              "02-01-2015  439.880371  443.818054  437.998199  438.617340  416.882629   \n",
              "05-01-2015  438.344940  441.267212  432.946106  433.812897  412.316284   \n",
              "06-01-2015  430.915344  432.401276  412.093750  414.124512  393.603485   \n",
              "07-01-2015  414.619812  425.367950  414.570282  423.139069  402.171326   \n",
              "\n",
              "             Volume  \n",
              "Date                 \n",
              "01-01-2015  1367720  \n",
              "02-01-2015  3383424  \n",
              "05-01-2015  4662967  \n",
              "06-01-2015  8596809  \n",
              "07-01-2015  9562421  "
            ]
          },
          "execution_count": 2,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "qDRWKTMrThd_",
        "outputId": "7a37595a-d597-475f-f83f-34f5b5b3da58"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "Open         0\n",
              "High         0\n",
              "Low          0\n",
              "Close        0\n",
              "Adj Close    0\n",
              "Volume       0\n",
              "dtype: int64"
            ]
          },
          "execution_count": 3,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df.isna().sum()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "bCEhRgzjwQBd"
      },
      "outputs": [],
      "source": [
        "del df['Volume'],df['Adj Close'],df['Low'],df['High'],df['Open']\n",
        "\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "_R3Cv75KeLlr"
      },
      "outputs": [],
      "source": [
        "df['close_log'] = np.log(df['Close'])\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "background_save": true
        },
        "id": "8G7LOq4kjikg"
      },
      "outputs": [],
      "source": [
        "df['close_log_diff'] = df['close_log']-df['close_log'].shift(1)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "background_save": true,
          "base_uri": "https://localhost:8080/"
        },
        "id": "LFFJcCgQUEWn",
        "outputId": "b8c1e39b-4003-4d72-d901-975e67ddfae5"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "(2024, 3)"
            ]
          },
          "execution_count": 7,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df.shape"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "background_save": true,
          "base_uri": "https://localhost:8080/"
        },
        "id": "1sqCj5Vbp3Pg",
        "outputId": "eb2128d2-f0a6-4f65-c9fb-09b99629da50"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "((2000, 3), (24, 3))"
            ]
          },
          "execution_count": 8,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "train = df[:2000]\n",
        "val = df[2000:]\n",
        "train.shape,val.shape"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "background_save": true,
          "base_uri": "https://localhost:8080/",
          "height": 455
        },
        "id": "YgNnapBYbRtb",
        "outputId": "64f296be-639b-4afe-80a1-e2ac93c7640f"
      },
      "outputs": [
        {
          "data": {
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              "      <th></th>\n",
              "      <th>Close</th>\n",
              "      <th>close_log</th>\n",
              "      <th>close_log_diff</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Date</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>01-01-2015</th>\n",
              "      <td>439.781311</td>\n",
              "      <td>6.086278</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>02-01-2015</th>\n",
              "      <td>438.617340</td>\n",
              "      <td>6.083627</td>\n",
              "      <td>-0.002650</td>\n",
              "    </tr>\n",
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              "      <th>05-01-2015</th>\n",
              "      <td>433.812897</td>\n",
              "      <td>6.072613</td>\n",
              "      <td>-0.011014</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>06-01-2015</th>\n",
              "      <td>414.124512</td>\n",
              "      <td>6.026167</td>\n",
              "      <td>-0.046447</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>07-01-2015</th>\n",
              "      <td>423.139069</td>\n",
              "      <td>6.047701</td>\n",
              "      <td>0.021534</td>\n",
              "    </tr>\n",
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              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
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              "    <tr>\n",
              "      <th>30-01-2023</th>\n",
              "      <td>2359.750000</td>\n",
              "      <td>7.766311</td>\n",
              "      <td>0.009538</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>31-01-2023</th>\n",
              "      <td>2353.850098</td>\n",
              "      <td>7.763808</td>\n",
              "      <td>-0.002503</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>01-02-2023</th>\n",
              "      <td>2339.899902</td>\n",
              "      <td>7.757863</td>\n",
              "      <td>-0.005944</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>02-02-2023</th>\n",
              "      <td>2326.949951</td>\n",
              "      <td>7.752314</td>\n",
              "      <td>-0.005550</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>03-02-2023</th>\n",
              "      <td>2329.000000</td>\n",
              "      <td>7.753194</td>\n",
              "      <td>0.000881</td>\n",
              "    </tr>\n",
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              "</table>\n",
              "<p>2000 rows × 3 columns</p>\n",
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              "\n",
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              "          const element = document.querySelector('#df-6427131d-3feb-41e8-9c71-fbcc2c2e9de5');\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",
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              "          docLink.innerHTML = docLinkHtml;\n",
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              "        }\n",
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              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "                  Close  close_log  close_log_diff\n",
              "Date                                              \n",
              "01-01-2015   439.781311   6.086278             NaN\n",
              "02-01-2015   438.617340   6.083627       -0.002650\n",
              "05-01-2015   433.812897   6.072613       -0.011014\n",
              "06-01-2015   414.124512   6.026167       -0.046447\n",
              "07-01-2015   423.139069   6.047701        0.021534\n",
              "...                 ...        ...             ...\n",
              "30-01-2023  2359.750000   7.766311        0.009538\n",
              "31-01-2023  2353.850098   7.763808       -0.002503\n",
              "01-02-2023  2339.899902   7.757863       -0.005944\n",
              "02-02-2023  2326.949951   7.752314       -0.005550\n",
              "03-02-2023  2329.000000   7.753194        0.000881\n",
              "\n",
              "[2000 rows x 3 columns]"
            ]
          },
          "execution_count": 9,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "train"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "background_save": true,
          "base_uri": "https://localhost:8080/",
          "height": 382
        },
        "id": "9Z-StGBLe1-I",
        "outputId": "56d0b234-44c2-4a7b-d7f5-94a8cd111c09"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "((array([-3.39558911, -3.14475678, -3.00564136, ...,  3.00564136,\n",
              "          3.14475678,  3.39558911]),\n",
              "  array([-0.14103248, -0.13171223, -0.09030592, ...,  0.11279491,\n",
              "          0.13730706,         nan])),\n",
              " (nan, nan, nan))"
            ]
          },
          "execution_count": 10,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "#plt.hist(df['Close'], bins=20)\n",
        "stats.probplot(df['close_log_diff'], dist=\"norm\", plot=plt)\n",
        "#sm.qqplot(df['close_log'], line ='45')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "background_save": true
        },
        "id": "fIP-SSmye1zc"
      },
      "outputs": [],
      "source": []
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 361
        },
        "id": "feQwke4vdYDm",
        "outputId": "009bb220-5230-444b-d61c-116209d0a225"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "[<matplotlib.lines.Line2D at 0x7f97951cda60>]"
            ]
          },
          "execution_count": 11,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1152x432 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "plt.figure(figsize=(16,6))\n",
        "plt.plot(df['Close'])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "33AUQ5MawWej",
        "outputId": "8ae61f6f-8713-40b0-8012-cbbfcf714f46"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "(-13.590299398558415,\n",
              " 2.0427733995668821e-25,\n",
              " 10,\n",
              " 2012,\n",
              " {'1%': -3.433604305449515,\n",
              "  '5%': -2.8629775816425003,\n",
              "  '10%': -2.5675353062242845},\n",
              " -10311.861964827101)"
            ]
          },
          "execution_count": 28,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "adfuller(df['close_log_diff'].dropna())"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "onDA4IsYk7sO"
      },
      "outputs": [],
      "source": [
        "lag_acf = acf(df['close_log_diff'].dropna(), nlags=30)\n",
        "lag_pacf = pacf(df['close_log_diff'].dropna(), nlags=50, method='ols')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 281
        },
        "id": "3SfrVNsSlbbW",
        "outputId": "97c95d59-706e-4283-cbb4-9c8b4a6985fd"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "from statsmodels.graphics.tsaplots import plot_acf\n",
        "from statsmodels.graphics.tsaplots import plot_pacf\n",
        "from matplotlib import pyplot\n",
        "pyplot.figure()\n",
        "pyplot.subplot(211)\n",
        "plot_acf(df['close_log_diff'].dropna(),ax=pyplot.gca(),lags=40)\n",
        "plt.title('PACF')\n",
        "pyplot.subplot(212)\n",
        "plot_pacf(df['close_log_diff'].dropna(), ax=pyplot.gca(), lags=50)\n",
        "plt.title('PACF')\n",
        "pyplot.show()\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "V5PoSpLitCXo",
        "outputId": "592702c5-b4aa-49b2-a250-e967bd02410f"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Collecting pmdarima\n",
            "  Downloading pmdarima-2.0.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl (1.9 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.9/1.9 MB\u001b[0m \u001b[31m19.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: urllib3 in /usr/local/lib/python3.9/dist-packages (from pmdarima) (1.26.15)\n",
            "Requirement already satisfied: setuptools!=50.0.0,>=38.6.0 in /usr/local/lib/python3.9/dist-packages (from pmdarima) (63.4.3)\n",
            "Requirement already satisfied: joblib>=0.11 in /usr/local/lib/python3.9/dist-packages (from pmdarima) (1.1.1)\n",
            "Requirement already satisfied: pandas>=0.19 in /usr/local/lib/python3.9/dist-packages (from pmdarima) (1.4.4)\n",
            "Requirement already satisfied: scikit-learn>=0.22 in /usr/local/lib/python3.9/dist-packages (from pmdarima) (1.2.2)\n",
            "Requirement already satisfied: numpy>=1.21.2 in /usr/local/lib/python3.9/dist-packages (from pmdarima) (1.22.4)\n",
            "Requirement already satisfied: scipy>=1.3.2 in /usr/local/lib/python3.9/dist-packages (from pmdarima) (1.10.1)\n",
            "Requirement already satisfied: Cython!=0.29.18,!=0.29.31,>=0.29 in /usr/local/lib/python3.9/dist-packages (from pmdarima) (0.29.33)\n",
            "Requirement already satisfied: statsmodels>=0.13.2 in /usr/local/lib/python3.9/dist-packages (from pmdarima) (0.13.5)\n",
            "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.9/dist-packages (from pandas>=0.19->pmdarima) (2022.7.1)\n",
            "Requirement already satisfied: python-dateutil>=2.8.1 in /usr/local/lib/python3.9/dist-packages (from pandas>=0.19->pmdarima) (2.8.2)\n",
            "Requirement already satisfied: threadpoolctl>=2.0.0 in /usr/local/lib/python3.9/dist-packages (from scikit-learn>=0.22->pmdarima) (3.1.0)\n",
            "Requirement already satisfied: patsy>=0.5.2 in /usr/local/lib/python3.9/dist-packages (from statsmodels>=0.13.2->pmdarima) (0.5.3)\n",
            "Requirement already satisfied: packaging>=21.3 in /usr/local/lib/python3.9/dist-packages (from statsmodels>=0.13.2->pmdarima) (23.0)\n",
            "Requirement already satisfied: six in /usr/local/lib/python3.9/dist-packages (from patsy>=0.5.2->statsmodels>=0.13.2->pmdarima) (1.15.0)\n",
            "Installing collected packages: pmdarima\n",
            "Successfully installed pmdarima-2.0.3\n"
          ]
        }
      ],
      "source": [
        "!pip install pmdarima\n",
        "from pmdarima.arima import auto_arima"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "B7XUtPlcavfn",
        "outputId": "50679243-9984-4a24-8789-4e137c126993"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Performing stepwise search to minimize aic\n",
            " ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=18873.701, Time=0.17 sec\n",
            " ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=18874.763, Time=0.11 sec\n",
            " ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=18874.805, Time=0.21 sec\n",
            " ARIMA(0,1,0)(0,0,0)[0]             : AIC=18874.125, Time=0.08 sec\n",
            " ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=18876.604, Time=1.88 sec\n",
            "\n",
            "Best model:  ARIMA(0,1,0)(0,0,0)[0] intercept\n",
            "Total fit time: 2.478 seconds\n",
            "                               SARIMAX Results                                \n",
            "==============================================================================\n",
            "Dep. Variable:                      y   No. Observations:                 2000\n",
            "Model:               SARIMAX(0, 1, 0)   Log Likelihood               -9434.851\n",
            "Date:                Sun, 19 Mar 2023   AIC                          18873.701\n",
            "Time:                        11:56:10   BIC                          18884.902\n",
            "Sample:                             0   HQIC                         18877.814\n",
            "                               - 2000                                         \n",
            "Covariance Type:                  opg                                         \n",
            "==============================================================================\n",
            "                 coef    std err          z      P>|z|      [0.025      0.975]\n",
            "------------------------------------------------------------------------------\n",
            "intercept      0.9451      0.607      1.557      0.119      -0.245       2.135\n",
            "sigma2       736.3411     11.005     66.910      0.000     714.772     757.910\n",
            "===================================================================================\n",
            "Ljung-Box (L1) (Q):                   0.94   Jarque-Bera (JB):              4034.08\n",
            "Prob(Q):                              0.33   Prob(JB):                         0.00\n",
            "Heteroskedasticity (H):              22.09   Skew:                             0.03\n",
            "Prob(H) (two-sided):                  0.00   Kurtosis:                         9.96\n",
            "===================================================================================\n",
            "\n",
            "Warnings:\n",
            "[1] Covariance matrix calculated using the outer product of gradients (complex-step).\n"
          ]
        }
      ],
      "source": [
        "smodel = auto_arima(train['Close'], start_p=0, start_q=0,\n",
        "                      test='adf',       # use adftest to find optimal 'd'\n",
        "                      max_p=10, max_q=10, # maximum p and q\n",
        "                      m=1,              # frequency of series\n",
        "                      d=None,           # let model determine 'd'\n",
        "                      seasonal=False,   # No Seasonality\n",
        "                      start_P=0,\n",
        "                      D=0,\n",
        "                      trace=True,\n",
        "                      error_action='ignore',\n",
        "                      suppress_warnings=True,\n",
        "                      stepwise=True)\n",
        "print(smodel.summary())"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "A78w2D5HmSIS"
      },
      "outputs": [],
      "source": [
        "from statsmodels.tsa.arima.model import ARIMA"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 451
        },
        "id": "ZNzpgKsxmqe3",
        "outputId": "5023834d-e53d-4739-fc90-2be5128f36e8"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "<table class=\"simpletable\">\n",
              "<caption>SARIMAX Results</caption>\n",
              "<tr>\n",
              "  <th>Dep. Variable:</th>         <td>Close</td>      <th>  No. Observations:  </th>   <td>2000</td>   \n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Model:</th>            <td>ARIMA(2, 0, 0)</td>  <th>  Log Likelihood     </th> <td>-9443.506</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Date:</th>            <td>Sun, 19 Mar 2023</td> <th>  AIC                </th> <td>18895.013</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Time:</th>                <td>11:56:10</td>     <th>  BIC                </th> <td>18917.416</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Sample:</th>                  <td>0</td>        <th>  HQIC               </th> <td>18903.239</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th></th>                      <td> - 2000</td>     <th>                     </th>     <td> </td>    \n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Covariance Type:</th>        <td>opg</td>       <th>                     </th>     <td> </td>    \n",
              "</tr>\n",
              "</table>\n",
              "<table class=\"simpletable\">\n",
              "<tr>\n",
              "     <td></td>       <th>coef</th>     <th>std err</th>      <th>z</th>      <th>P>|z|</th>  <th>[0.025</th>    <th>0.975]</th>  \n",
              "</tr>\n",
              "<tr>\n",
              "  <th>const</th>  <td> 1328.5663</td> <td>  642.648</td> <td>    2.067</td> <td> 0.039</td> <td>   68.999</td> <td> 2588.133</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>ar.L1</th>  <td>    1.0226</td> <td>    0.016</td> <td>   65.079</td> <td> 0.000</td> <td>    0.992</td> <td>    1.053</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>ar.L2</th>  <td>   -0.0232</td> <td>    0.016</td> <td>   -1.473</td> <td> 0.141</td> <td>   -0.054</td> <td>    0.008</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>sigma2</th> <td>  737.0299</td> <td>   11.047</td> <td>   66.718</td> <td> 0.000</td> <td>  715.378</td> <td>  758.681</td>\n",
              "</tr>\n",
              "</table>\n",
              "<table class=\"simpletable\">\n",
              "<tr>\n",
              "  <th>Ljung-Box (L1) (Q):</th>     <td>0.01</td>  <th>  Jarque-Bera (JB):  </th> <td>4064.31</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Prob(Q):</th>                <td>0.94</td>  <th>  Prob(JB):          </th>  <td>0.00</td>  \n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Heteroskedasticity (H):</th> <td>21.69</td> <th>  Skew:              </th>  <td>0.07</td>  \n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Prob(H) (two-sided):</th>    <td>0.00</td>  <th>  Kurtosis:          </th>  <td>9.98</td>  \n",
              "</tr>\n",
              "</table><br/><br/>Warnings:<br/>[1] Covariance matrix calculated using the outer product of gradients (complex-step)."
            ],
            "text/plain": [
              "<class 'statsmodels.iolib.summary.Summary'>\n",
              "\"\"\"\n",
              "                               SARIMAX Results                                \n",
              "==============================================================================\n",
              "Dep. Variable:                  Close   No. Observations:                 2000\n",
              "Model:                 ARIMA(2, 0, 0)   Log Likelihood               -9443.506\n",
              "Date:                Sun, 19 Mar 2023   AIC                          18895.013\n",
              "Time:                        11:56:10   BIC                          18917.416\n",
              "Sample:                             0   HQIC                         18903.239\n",
              "                               - 2000                                         \n",
              "Covariance Type:                  opg                                         \n",
              "==============================================================================\n",
              "                 coef    std err          z      P>|z|      [0.025      0.975]\n",
              "------------------------------------------------------------------------------\n",
              "const       1328.5663    642.648      2.067      0.039      68.999    2588.133\n",
              "ar.L1          1.0226      0.016     65.079      0.000       0.992       1.053\n",
              "ar.L2         -0.0232      0.016     -1.473      0.141      -0.054       0.008\n",
              "sigma2       737.0299     11.047     66.718      0.000     715.378     758.681\n",
              "===================================================================================\n",
              "Ljung-Box (L1) (Q):                   0.01   Jarque-Bera (JB):              4064.31\n",
              "Prob(Q):                              0.94   Prob(JB):                         0.00\n",
              "Heteroskedasticity (H):              21.69   Skew:                             0.07\n",
              "Prob(H) (two-sided):                  0.00   Kurtosis:                         9.98\n",
              "===================================================================================\n",
              "\n",
              "Warnings:\n",
              "[1] Covariance matrix calculated using the outer product of gradients (complex-step).\n",
              "\"\"\""
            ]
          },
          "execution_count": 34,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "\n",
        "\n",
        "model = ARIMA(train['Close'], order=(2,0,0))\n",
        "result = model.fit()\n",
        "result.summary()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 622
        },
        "id": "v00BKZNEn-Hy",
        "outputId": "8df6f5cb-223d-4a69-e38e-358afa7564be"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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vnQvlvhZQPuj7EErQYw2An9F03/kklFpI+4QQTyECFu5fje6l/wagCMBc9d7zeyj3qZBSfgWlZMSP6jahVqm9CMo574USZPIWoVYz7LVFYMqgZCDdDmvj6GDXT8/o/AClLlQPKLWiqi0cjyhqhO8UWiIiIiIiouZHzUjaD2Ua2uY4HP8yAFdIKY+I9bEpMQkhNkIpB/F9vPtCzRszjoiIiIiIqFkSQpymTmNvCeARACsAFMe3V0SAEOJsKFP4QmVMEUVdeuhNiIiIiIiIUtLpUKYPCSi1bi6QnJJBcSaEmAVgEIA/qDWdiOKKU9WIiIiIiIiIiMgQp6oREREREREREZEhBo6IiIiIiIiIiMhQUtU4at++vezZs2e8u0FERERRsmjRoj1SyoJ494N88R6MiIgotQW7B0uqwFHPnj2xcOHCeHeDiIiIokQIsSXefaBAvAcjIiJKbcHuweI6VU0IkSeE+FAIsVYIsUYIMT6e/SEiIiIiIiIioibxzjh6EsDXUspzhBCZAHLi3B8iIiIiIiIiIlLFLeNICNEGwFEAXgEAKWW9lHJ/vPpDRERElOyEECcJIdYJIYqEEFMNnn9cCLFU/X+9EGJ/HLpJRERESSSeGUe9AJQBeE0IMRzAIgA3SikP6jcSQlwF4CoAKCwsjHkniYiIiJKBECINwLMAjgdQAmCBEOIzKeVqbRsp5c267f8CYGTMO0pERBQHDQ0NKCkpQW1tbby7ElfZ2dno1q0bMjIyLO8Tz8BROoBRAP4ipZwnhHgSwFQAd+s3klK+COBFABg9erSMeS+JiIiIksMYAEVSyk0AIIR4H8DpAFabbH8hgHti1DciIqK4KikpQatWrdCzZ08IIeLdnbiQUqK8vBwlJSXo1auX5f3iWRy7BECJlHKe+vOHUAJJRERERGRfVwDbdD+XqI8FEEL0gJL9/WMM+kVERBR3tbW1yM/Pb7ZBIwAQQiA/P9921lXcAkdSyp0AtgkhBqgPTYL5J2JERERE5JwLAHwopXSbbSCEuEoIsVAIsbCsrCyGXSMiIoqO5hw00oRzDeKZcQQAfwHwjhBiOYARAB6Ib3eIiIiIktZ2AN11P3dTHzNyAYD3gjUmpXxRSjlaSjm6oKDAoS4SERE1X7m5uT4/v/7667j++usBAC+88ALefPNN031nzZqFOXPmRLV/ZuJZ4whSyqUARsezD0REREQpYgGAfkKIXlACRhcAuMh/IyHEQABtAfwe2+4REREljtoGN7Iz0hKmvauvvjro87NmzUJubi4mTJgQ9jHCFdfAERERERE5Q0rZKIS4HsA3ANIAvCqlXCWE+CeAhVLKz9RNLwDwvpSSi44QEVGzlZ2Rhp5TZzrWXvH0yRHtP23aNOTm5uK2227DU089hRdeeAHp6ekYNGgQpk+fjhdeeAFpaWl4++238fTTT+PII490qOehMXBERERElCKklF8C+NLvsX/4/Twtln0iIiIiRU1NDUaMGOH9ee/evZgyZUrAdtOnT8fmzZuRlZWF/fv3Iy8vD1dffbU3sBRrDBwREREREREREUVZixYtsHTpUu/Pr7/+OhYuXBiw3bBhw3DxxRfjjDPOwBlnnBG7DpqId3FsIiJKMtv316Cu0XQhJiIiIiIiisDMmTNx3XXXYfHixTjssMPQ2NgY1/4wcERERJbVNbpx+PQfceuMZfHuChEREcWCuwHY/Asw93mgsT7evSFKeR6PB9u2bcMxxxyDBx98EBUVFaiqqkKrVq1w4MCBuPSJU9WIiMiy+kYPAOCntbvj3BMiIiKKmuq9QNH3wLqvgKIfgLoK5fHWXYBBp8e3b0Qpzu1245JLLkFFRQWklLjhhhuQl5eH0047Deeccw4+/fRTFscmIiIiIiKiGNuzQQkUrf8a2DoXkG6gZQdg0GlAvxOBj68CtvzOwBGljNoGd8Qrofm3l52RFnSbqqoqn58vu+wyXHbZZQCUVdU0v/32W8C+/fv3x/LlyyPuZzgYOCIiIiIiImqODuwEZj+lBIv2blQe6zgUOOJmYMDJQJdRgEutbjL/RWDrnPj1lchhoYI88W4vkTBwREREtgkh4t0FCmHH/hrUNXrQq33LeHeFiIgS1dd3AGs+A3pPBMZdA/Q/Ccjrbrxt4Xjg10eA2kogu3VMu0lE8cXAERERUQqaMP1HAHA0BZuIiFLMtvnAIVOAc18LvW2P8cAvHqBkAdB3UvT7RkQJg6uqERERERERNTcHdgKVJUC30da27zYGEGnA1t+j2y8iSjgMHBERUYAt5Qex72DgkrsyDn0hIiKiKNi+SPna9VBr22flAp2HKQWyiahZYeCIiIgCHP3wLBz10E8Bj0s1csQKR9bsqapDz6kzMadoT7y7QkRE5Gv7IiWDqPNw6/sUTgC2LwQa66LXLyJKOAwcERGRoQN1jfHuQtJbunU/AOCV3zbHtyNERET+ShYCHQcDGS2s79NjPNBYC+xYGrVuEaWy3Nxc7/dffvkl+vfvjy1btmDatGno2rUrRowYgX79+uGss87C6tWrvdtOnDgRAwYMwIgRIzBixAicc845Me03i2MTERERERE1Jx4PsGMJMNTm4LNwvPJ16xygcKzz/SJqJn744QfccMMN+Oabb9CjRw8AwM0334zbbrsNAPDBBx/g2GOPxYoVK1BQUAAAeOeddzB6tMWaZA5jxhEREdnHuWqWsCYUERElpPINQF2l9fpGmpbtgfb9WeeIKAK//PILrrzySnzxxRfo06eP4Tbnn38+TjjhBLz77rsx7p0xZhwRERERERE1J97C2GFkLxSOA1Z/qmQtuZiHQEnqq6nAzhXOttlpKHDy9KCb1NXV4YwzzsCsWbMwcODAoNuOGjUKa9eu9f588cUXo0ULZWrp8ccfj4cffjjyPlvE33QiIiIiIqLmpGQhkNlKyR6yq3ACUFsB7F4delsi8pGRkYEJEybglVdeCbmtlL656++88w6WLl2KpUuXxjRoBDDjiIgoaUkp8b+l23HqsC7ISIvR5wCcexUWwal9RESUSLYvBLqODC9jqIdW5+h3oNMQZ/tFFCshMoOixeVyYcaMGZg0aRIeeOAB3HnnnabbLlmyJG41jfwx44iIKEl9vrwUN3+wDM/P2hizY0o1csQ4iD2SATciIkoUDTXArlXhTVMDgLweQKsuSuCIiGzLycnBzJkz8c4775hmHn300Uf49ttvceGFF8a4d8aYcURElKT2HawHAJQdqItzT4iIiChplC4HPI32C2NrhFCyjrb8rnwywrRaItvatWuHr7/+GkcddZR31bTHH38cb7/9Ng4ePIghQ4bgxx9/9D4H+NY4at++Pb7//vuY9ZeBIyKiJBfL+zVmzoSH99RERJQwtMLY3SKYAlM4Hlj5EbB/C9C2pyPdImoOqqqqvN93794dmzdvBgBMmTIF06ZNM91v1qxZUe5ZcJyqRkSUpPwL5sXkmDE/IhERETlq+0KgdVegVafw2+gxQfm6hdPViJoDBo6IiJIck1mIiIjIsu2Lwp+mpik4BMjOA7bOcaRLRJTYGDgiIkpS8cj+iUeWExERETnk4B5gX3Fk09QAZTW2wnHMOCJqJhg4IiJKciKGBXS0sFEsj0lEREQO2b5Y+RppxhGgBI7KNwBVZZG3RUQJjYEjIqIkpSX/VNQ04OuVpTE9JhERESWh7QsB4QI6j4i8rUK1ztFWZh0RpToGjoiIkpQWw/lkyXZc/fZilFbUxLU/FIhT+4iIKKGULFTqE2XlRt5Wl5FAejYDR0TNAANHREQpor7Rg+9X70Jdoztqx5BcV42IiCg5SakUxu7mwDQ1AEjPBLqOZuCIqBlg4IiIKEn5Z7Ms2rIPV7y5EP/+cm0UD6p8YYkja1gLioiIEsbeTUDtfmfqG2l6jAdKlwN1Vc61SZTChBC49dZbvT8/8sgjmDZtmvfnJ554Am+++SYAYO/evTj++OPRr18/HH/88di3b19Ae+Xl5TjmmGOQm5uL66+/3ue54447znCfcDBwRESUIvZVNwAAtu2tjnNPSMOpakRElDC2L1K+do1wRTW9wvGAdAMl851rkyiFZWVl4eOPP8aePXsCnmtsbMSrr76Kiy66CAAwffp0TJo0CRs2bMCkSZMwffr0gH2ys7Nx33334ZFHHgl47g9/+AOee+45R/qd7kgrRETULDAMEi5mHhERUZyVLAQycoCCgc612X2MUmx7y+9An2Oda5coyh6c/yDW7nU2S39gu4H425i/Bd0mPT0dV111FR5//HHcf//9Ps/9+OOPGDVqFNLTlTDNp59+ilmzZgEA/vjHP2LixIl48MEHffZp2bIljjjiCBQVFQUca8qUKTjyyCNx1113RXBWCmYcERGlCC00Ec3gjpZAwzCIXQy5ERFRnG1fpBS0TnMwdyCrFdBpGOscEdlw3XXX4Z133kFFRYXP47Nnz8ahhzZNJd21axc6d+4MAOjUqRN27dpl6zht27ZFXV0dysvLI+4zM46IiMgyFscmIiJKQo11wM7lwNirnW+7cDyw6DWgsV4pmE2UBEJlBkVT69atcemll+Kpp55CixYtvI+XlpbikEMOMdxHCBFW7cwOHTpgx44dyM/PD7u/ADOOiIgoxe2pqsMj36yDxxPPoFfkOVrn/+d3PPH9egf6QkREzc6ulYC73tnC2Joe44HGWqB0qfNtE6Wom266Ca+88goOHjzofaxFixaora31/tyxY0eUlpYCUIJKHTp0sH2c2tpan+BUuBg4IiJKUvGou5yMtZ6nfrQCz/xUhN83RZ6mG0/zNu/FE99viHc3iIgoGZWohbG7OVgYW1M4Xvm6ZY7zbROlqHbt2uG8887DK6+84n3skEMO8alVNGXKFLzxxhsAgDfeeAOnn346AGD+/Pm49NJLQx5DSomdO3eiZ8+eEfeXgSMioiTlP21M+yma9Ye8x0iiZebrGt0AAHdcM46IiIjiaPtCILcj0Lqr823ndgDy+7LOEZFNt956q8/qaieffDJ++eUX789Tp07Fd999h379+uH777/H1KlTAQBbt271ySLq2bMnbrnlFrz++uvo1q0bVq9eDQBYtGgRxo0b5y22HQnWOCIiShGxKI6dzHhdiIio2dq+COg6GojWBz+F44E1nwMeD+BibgKRmaqqKu/3HTt2RHV1tffnHj16ID8/Hxs2bEC/fv2Qn5+PH374IaCNefPm4brrrvP+XFxcbHist956C9dee60j/eZvNRFRkorPVDWGX4iIiJJKzT6gvAjoOip6x+gxAajdD5Q5u7w5UXMzffp0b10jMw8//DCGDRsWsq0hQ4Zg0qRJjvSLGUdERGRZMseNGPQiIqJmafti5Ws06htptDpHW+cAHQdF7zhEKW7AgAEYMGCAI21deeWVjrQDMOOIiChpJfcaYbGj1WOKx/ViqIqIiOJu+yIAAugyMnrHaNsTaNUZ2MI6R5TY+EFieNcg7oEjIUSaEGKJEOKLePeFiMjItr3V+GpF8JRRSlzJFOQiIiJy3PZFQPv+QHab6B1DCCXraOvvyZ2eTCktOzsb5eXlzTp4JKVEeXk5srOzbe2XCFPVbgSwBkDreHeEiMjIqU//hoqaBhRPnxzvrviIT42j2B/TMXHoO4NWFGtCiJMAPAkgDcDLUsrpBtucB2AalN+KZVLKi2LaSSKKHSmBkoVA/xOjf6zC8cCqj4H9W4G2PaJ/PCKbunXrhpKSEpSVlcW7K3GVnZ2Nbt262donroEjIUQ3AJMB3A/glnj2hYjITEVNQ7y7kDBkEk6+0haQiUffk+9qUTITQqQBeBbA8QBKACwQQnwmpVyt26YfgDsAHC6l3CeE6BCf3hJRTOzfClTviW5hbE0Prc7R7wwcUULKyMhAr1694t2NpBTvqWpPAPgrAE+c+0FElHT8AyHRWmHX55hJGAlJhKyfWLw2RADGACiSUm6SUtYDeB/A6X7bXAngWSnlPgCQUu6OcR+JKJa2L1S+do1iYWxNh0FAVhtgy5zoH4uIYipugSMhxKkAdkspF4XY7iohxEIhxMLmnlJGREThS8agF5FNXQFs0/1coj6m1x9AfyHEbCHEXHVqmyHegxGlgJJFQHo20HFw9I/lSgMKxyoZR0SUUuKZcXQ4gClCiGIon4gdK4R4238jKeWLUsrRUsrRBQUFse4jEVHCikuNI/VrMmXQiGTqLFH0pQPoB2AigAsBvCSEyDPakPdgRClg+yKg83AgLSM2xyscD+xZDxzcE5vjEVFMxC1wJKW8Q0rZTUrZE8AFAH6UUl4Sr/4QEVFoTatQJF8whhlH1AxsB9Bd93M39TG9EgCfSSkbpJSbAayHEkgiolTjbgBKlwJdD43dMXtMUL5unRu7YxJR1MW7xhEREVFUaSEuxo2oGVgAoJ8QopcQIhPKB3Of+W3zPyjZRhBCtIcydW1TDPtIRLGyezXQWBvbwFGXkUBaFqerEaWYhAgcSSlnSSlPjXc/iIiai7fmbsGmsirb+yVj8KU5zlSrqOZKgM2RlLIRwPUAvgGwBsAMKeUqIcQ/hRBT1M2+AVAuhFgN4CcAt0spy+PTYyKKqhKtMHYMA0fpWUDBAKBsbeyOSURRlx7vDhARUezd/b+VaJWVjhX3nmhrv2Se7iXj0Pl4Xa8r31oYnwNT3EkpvwTwpd9j/9B9LwHcov5PRKls+2IgJx9o2zO2x23fHyiZH9tjElFUJUTGERER2bdtb7Xh46ECJNrzB+oawziqsm9yZfEonU3imJdtRbvtZ5MREVGK2b4Q6Do69v9ot+8H7N8GNNTE9rhEFDUMHBERWRSPjJVg3l+wLfRGBjyJdRpRF+375SVb96Gy1nhqWHIF2IiIKGXUVgJl62I7TU3Tvh8ACZRvjP2xiSgqGDgiIrIoweJGAazGKCIJgCX6NQgmGn2vb/TgzOfm4IrXjaeGxet6MV5FRNTM7VgCQALd4hE46q98Ld8Q+2MTUVQwcERE1MxEEstIxrhRUxDF+d671fStZSX7HW/bqvmb96Ln1JlYu7Mybn0gIqIEs139QKPLqNgfu10f5eseBo6IUgUDR0REFiVj0MSIlgWTbNOofllfhke/XWd7P+08o5n9E89r+c2qnQCA3zbsiV8niIgosWxfrARwctrF/tiZOUCbQmDP+tgfm4iigoEjIiKLEq3GkT9hMXohIwiBxfMSXPrqfDz9Y5Ht/UQCTNyKZg/SXErrjc2teBUREZnbvig+9Y007fsy44gohTBwRETUzEQS/NGCTvEPxcTe/5ZsDyiCbTUIF82QjksNGLoZOCIiIgCo3gscKAU6DY1fH9r3VwJHCf6hGxFZw8AREZFFqXbrE07wJxnv/7xT1SJoY+3OStz0wVLc/t9lxseIYygtXc048jBwREREAFCuZudqRarjoX0/oOEgULkjfn0gIscwcEREZFGiB02sTqXzqNtZndqW7JyocVRT7wYA7Kyo9XncapvRvNIug6lq+pfW45HYd7A+ij0gIqKEok0Ra98vfn3IV4/NldWIUgIDR0REFkVSGyiReItjR7BvcxMqyGb+dPQvWJp6cI/Ji3P6s7Mx8r7vsKeqLup9ISKiBLBnPeDKAPJ6xK8PWrYT6xwRpQQGjoiIUoTVEEUkoQxvjaMkTFaKRuAvEeJoaeq/5GY1jlZsrwAAlFfFPutoQfFe/LK+LObHJSJq1sqLgHa9gbT0+PWhVScgsxUDR0QpIo5/TYiIkkuqZNsk+upwTtPqD0VUFNxk59DXMvoRNm2qWqji2PHImDv3hd8BAMXTJ8f82EREzdae9fGtbwQonzC176v0hYiSHjOOiIiaGS18YJQ1tHnPQSzeus9832SMOTlQHLupLbuBoNhNVQsVOPJ4ot4VIiKKN3cjsHdzfOsbabSV1Ygo6THjiIgoRVgN6gTb7phHZllqI56riNnlaE/9Ll4ixNHStIyjEG+AVKnRRUREQezfAngamopTx1N+P2D5B0D9QSCzZbx7Q0QRYMYREZFFSZltY8RbHNt+SCVlroFNZsWxQxcaj36ATQsceUJNVWumrx0RUbOiTQ2L91Q1oCnrqbwovv0googxcEREZFGiZ2xYL44dwbJqSUgL+kSltlPIJmMwVc0w46iZvLhERORLmxrWvm98+wFwZTWiFMLAERFRM+OJIG4Ur+BZgzv8Aj3RDKE0rTIXv0CNFjjaV92AxgiuExERpYA964GWBUCLtvHuibKyGwQDR0QpgIEjIiKLEn2qj9WMmkgyb7xTs2IcJ7nk5XmxPaBFifCe0Ipjz1xeijs/WWG6nScROktERNFVXpQY9Y0AICMbaNuDK6sRpQAGjoiILEqkYXdEwR8H+xFNjW4P7vpkBUr2VWPe5r0Rt+dE3MS/CatNhhNoq6huQNmBupDbuVxNjX+yZLvp8Rg3IiJqBvasT4wV1TT5/YByZhwRJTuuqkZEZFFUauREQaheRpI1FMsrML94L96ZtxWbyg5G1I52npFMszO7VNp7ItSlDOetM+pf38HtkSiePjnodukuay9kcrx7iYgobNV7geryxAocte8PFP8GeDyAizkLRMmKv71EREkokhhWJAGUmAbPHDqUFlaJS23sCLhDrJKmSbMaOEqSwCcREYXJWxg7AVZU07TvBzTWAJUl8e4JEUWAgSMiIotSZtjtLY5tP+VIuwbJtGZXNAtXS4sXxMkuPPT1Wnh0QSWXxcYtxqGIiChZaVPC8hNgRTWNlv3EAtlESY2BIyIiixIpYcOoK1b7l0CnEVQy9DNU9lY03jPPzdqI34r2eH/WB46CHW/ptv1cdY2IKJXtWQ+4MoC8HvHuSRMt+4mBI6KkxsAREVEzE1GNozhEcyLN1nFyqlpAGzG4Hg1uD4p2V/k8pl8hzerUw/u+WI3HvoveyjYVNQ2oqmuMWvtERBTCniIgvw+QlkBlbFsWANltWCCbKMkxcEREZJXf+HxXZS16Tp2JJVv3xac/YfJYLOhsLDHygPZX16OytsHaxt7i2OEzC16FmqnmxBS1B75cg+Me+9mvXeMso1D9WVNaGXmHTAy/91sMv/fbqLVPREQh7FmfWNPUAOUfwvx+St+IKGkxcEREZJF/ZsdsdbrQm79viX1fDNJnrGaexCr0M3/zXhTviWxFNDMj/vkdhk2Lf5AiVBaTE1lOC4r3BjxmsR52zFkt6E1ERA5zNwD7NidWYWxN+/6cqkaU5Bg4IiJqZrxLyIeRDmMnEHLef37HxEdm2T5GOMey1p7zQQ0tWBfNAtxG9IXN9WfFldOIiBJfbYPb+Ub3bQE8jU3FqBNJ+77AgVKg7oBjTUblGhKRqQSaAEtElNgSaUweUXHsCM7DOxUqhoGSyGscKQ1E4+WL13tCf03sBItiHeAiIqJA2Rlp6Dl1pqNtHudahJczgTM+KMPS951tO1Inug7gP5nAadNexwrZ25E2i6dPdqQdIrKGGUdERBaZDc+bU5ZHLE/V6tS7ULyxEieKY4fZiAizopTZvgz/EBGRXm+xAwCwSXaOc08CFckuAJr6SETJh4EjIqIkZBTAsRrS8K6q5lhvoqOpn5H11InzNOuD5WvucL6TWeZQ8wlhEhGRXh9RijLZBpVoGe+uBNgqO6JRutDHxcARUbJi4IiIyCKzzKJkm/5jFsQ494U5ofeNQ3ZVIlxes2sWr2wz36lqcekCERElkN6uHQmZbQQADUjHVtkBfZhxRJS0GDgiIrIokaaqGQUybNc48gvILCjeZ+G4yUcLskSS9eMxyX7yZkWFCG5FmjUV2J4xq/0hIqLU0kfswEZPl3h3w9Qm2Rm9RWm8u0FEYWLgiIjIIv/ATLIOzj3aqmpx7keseItjR1IUPIrBwZp6N0r2VdvaR5/l5sQ0uK9XluLn9WURt0NERLHXFpVoJ6qwMUEzjgBgo+yC3mInXPDEuytEFAYGjoiIwhTPKULGNY6sdSiSbse2OHbitCe9X31bcaJe1BVvLsARD/5k+rxRgLKypiGgD5G4+u3F+OOr87GxrAoby6oib5CIiGJGy+TZJBM342ij7IIs0YCugh9SECUjBo6IiCxyusBxvDRNZ1IiEhXVDUG29ttXvQahsq3qGxPnE0UnMsPMgjNOvCdmF5Xb3ueKNxcGfT7cqXGTHv0Zkx79Oax9iYgoPnq7lMDRxgQOHG3yKNlQfThdjSgpMXBERGRVasSNoD+RJVv3Yfg/v8XM5RZv5Cxeg/tnrg6jX9EVWWaOWXFsa3t9vWonduyvCevIoUJAkWSfERFR8usjdqBOpqNEFsS7K6a0oBYLZBMlJwaOiMhxm8qqUNfojnc3oi7RahzZLY4tBLByewUAYM7GPY72ZXVpZcRtOFVXyIni2OYZR9oxQr8Z/vrh8rCPH4yds0qwtywRETmgjyhFsewETwIP7fahNfbKXBbIJkpSifvXhYiSUkV1A4599Gfc8dGKeHfFcYmUwxFRoWeD710Wo2BWD2slkKK3aMteXPP2Ing8TUewE5QJ0ZsI97e2op6UEt+t3uVzDr5tBL96ThbgdnoVNzu2lldjxsJtcTs+EVFz01vswKYELoyt2SS7oI+LGUdEyYiBIyJy1MH6RgDAnI3267YkungWw7Yj5PQpXUFnLchhNTZjdbl3l824xZ/fWoSvVu5E+cH6gOcSIUvG/5pu3nMQO/bXNAW3AHy2bAeufHMhXptTbKkNu8+b75dYb8wznpttKbuqqq4RPafOxDerdsagV0REqSkdjSgUuxO6vpFmo6cLp6oRJSkGjiipLdqyF2t3Rj4lhpyTaNO3KJBHasEi4RP4cFKa3chRFHmnqkWSpaXurLVxzCOzMGH6jz5t7q6sAwCUmtQysloPyXbfwtwvWvaqwb9QAa3iPQcBAE/9sCHqfWpOhBAnCSHWCSGKhBBTDZ6/TAhRJoRYqv5/RTz6SUTOKBS7kSHc3uLTiWyT7IwCUYHWOBjvrhCRTQwcUVI7+/nfcdITv8a7G2Qg0YrzfrioBEc8+GNE2RmJdE5O1evxX2HNqeNanfoW4mDGD9t8DbWeRPbah34m5FS0cKeqhXEtEyGAG+pyNwUwY9CZZkIIkQbgWQAnAxgE4EIhxCCDTT+QUo5Q/385pp0kIkdpGTxJkXGk9pF1joiST9wCR0KI7kKIn4QQq4UQq4QQN8arL0SU+m777zKU7KuJMOvE5PHwm3RUsMDIvoP1WLVDKYStBTAEmvpeWdMQtO0GtweNbo/l6xduXSKj4IpTgYVIXifT195g6l64/TUpjRRaorwB/YTqVtOUSUaOHDQGQJGUcpOUsh7A+wBOj3OfiCiKtCDMpqQKHHG6GlGyiWfGUSOAW6WUgwCMA3CdyadiRESOiSh44FgvImcUyKiuN1/J7sznZmPyU78F7KsFmz5esj3o8frd9RVOfOIX3dQ2pwf71tuzG/xzZKqayatv9GioIJPdY4SSSJlweqEyvLSMowSa1ZgKugLQVyYvUR/zd7YQYrkQ4kMhRHezxoQQVwkhFgohFpaVlTndVyJyQB+xA7tlHg4gJ95dCWmbLECDTGOBbKIkFLfAkZSyVEq5WP3+AIA1ML65IaIkkqjZA1rwwBOFQsKJcsbPzdpo+lxxeXXAY0LYC6ZsLItNTYL6Rg/u+Hg5dlXWOtKe9p6M6LUPGQwSId/72qYrSiowbNo3KK+qw4qSCoO2oieW08JCnY7Hm62VKL9BzcbnAHpKKYcB+A7AG2YbSilflFKOllKOLigoiFkHici63q7SpFhRDQAakY4tsiP6cKoaUdJJiBpHQoieAEYCmGfwHD/tIkpCCbbQk5cTBZIDHg+/ybCFOuaO/TW44+PlaHB7AvfVZxzZ7L3VOkH6UICUEi//uslyIGjWut14b/42/P1/K437YKkVg/0ciBv5t7GprEq3jbXq18//XITK2kZ8u3oXTnvmt4j7F4/ftQO1DXht9uag74fQ/WKNoyjYDkCfQdRNfcxLSlkupaxTf3wZwKEx6hsRRUEfsQMbPYk/TU2zSXbmVDWiJBT3wJEQIhfARwBuklIGLI/FT7uIkouTg8AGt8fxpcYjyTrx3zVRs6sA4G8fLcd787dh7qZyn8cb3R58vKTE+7Pdy6Fdv1Crpumb3bznIP41cw2ufntR6APIpgwUt1Y82X8Tu8WxtalqtvbyP6bx49e8s9j0eGbcaqpNfaNvUM8s8BTqXRbOef20djce+259GHsq7vl0Fe79fDXmbCw33SZ0MXDla+L+FiWlBQD6CSF6CSEyAVwA4DP9BkIIfWrCFCgZ30SUhNqiEm1FVdJkHAFKnaOeYifSYD69nogST1wDR0KIDChBo3eklB/Hsy9ElFiq6xvR766v8MyPRfHuiql41pYJFTypbVBuyDLTfP/Mvz6nGK/NLlZ/ErYLMnvUWIedAKEWKAlVgFvjcqAmkZF4r6intdE0RcvveQl8taIUJzz+MzwWXpiHvl6LRoOMMiv+7/UFeOqHDWHtCwD7qusBAHWN5jf+oWs6KRxZgY8AAFLKRgDXA/gGSkBohpRylRDin0KIKepmN6iLkiwDcAOAy+LTWyKKVNOKaskVOMoUbnQXu+PdFSKyIZ6rqgkArwBYI6V8LF79IKLEVLxHqcnz2TJn0pm1oWk0ahyF8tQPG9D/rq9iekwtmyUz3ffPfPnBeu/3QtgPiHhMsoCC0TKI/I/0yDfr0HPqTL+NAwMJ/jVwgvV4/L9/wHOzfION2t5OrKjX4PZg8lO/WtrW7Htpcg09UuKWGcuwflcVanUBGbO4ynOzNuKbVbsMzysZQjFacIxxI2dJKb+UUvaXUvaRUt6vPvYPKeVn6vd3SCkHSymHSymPkVKujW+PiShcvV1KraCNSbCimmaTRwly9WadI6KkEs+Mo8MB/AHAsUKIper/p8SxP0SUQHZW1gAAOue1cLTdsJc8R/hT1R77bj3qw8wMMe1LiOfrTAJH+hlm4YzXm1bCsr632apmz/xUpD7uU3QpIJBgp5+lFbV46Ot1fsfXAleRZBwptu2rxqodAbOqw8rA8t/JrHfBAl5uKRN4VbUQz6tfE3nKJxFRIusjdqBOZmC7TJ5yHlqQqw/rHBEllfR4HVhK+RuS40NRIgpDpENZLWMmO93Z+LbTNZPsHjtWK0hp18+/FpF/wMd+jaPAdvYdrMfSbftxzMAO3sf0R9G2Nbv2Hl2wqLK2IWRQKh5FpLWAmZU29N3Xf6/t6jap7SNlfKc/Oi3UuXiz13gnQEQUlt6iFJtlJ3jiX7bWsgrkoky2ZsYRUZJJnr8yRJQUEnUMqAVsIso48hsI2x3kuyM5uH9fgjQl0ZRxFJgl5d9OmFPVdA1d8eZC/N/rC1BhUsOoaZqgSX91fTjusV9wsK7RVp+siujqe6eZGT9t9r73naomfb4Gbtv0uD4LJ1hgRZj0KRGWuA+ZcWQQhCQiIut6i9KkKoyt2SS7oI+LGUdEyYSBIyKKCqcSexwfUzo4Vc2uRgcDR8GsKNnvDRwF1HQSvgEJu+ekBb/0g31tSXqzwJgrxFQx/93MAlAa03ZMjq91NaIV9dRjOjHdzSzTxnfGnvXjGG1pHhB05hcqWO+srmLnXVWNcSMiItsy0IgeYldS1TfSbPR05lQ1oiTDwBEROcvhQaDTM8siCx74MqvNUlXX6F3VbEv5Qe/jDU7WOQpyGvuqG+D2WMw4sntYLUvE4F+PRo/x+XkDNyan7/+a6At46/cPpcHsAConimMHzfSymGFjFmDTP6rfJNjpF+85iC8cKiAfjk1lB02fC5XNpgXHGDgiIrKvUOxCuvB4i00nk02yC/LFAeThQLy7QkQWMXBERFGSmLVaYtGrIfd8g1PUlbcmPfqz9/FGtzNH37G/Boc/+KOlbf2DMvqfBIQjGUdaE2Pu/8FwmpndwMDD36wL+rxZn80CMk4UX/54yXbl2CbPWznHpowj9We/xvSvldUphI9+tx7zNu816E9sojH/mrkm4DGr7ylOVSMiCp+WsZOUGUdqn1nniCh5MHBERIZ+3VCG2/+7LOJ2Gt0eVNYGn3pkxM40lgO1DRh133eYt6ncdJumOjv2IiWNuiwhO/WAtEwM/fS0UBkxAPDp0u1YsnVf0G2uf3cxqizWAQrVZbvXo2malfELYzTNrKm+lNlUNWcCaqGmAoZbGH15yX7MXF4asg2r8Q9tSp1/S36Ly0XFgdoG9LpjZsjtFhTvxZyNeyy1uauyFh8uKgl4PNQ5OPW6ExE1R1rQJRlrHHlXVmOdI6KkwcARERn6wyvz8V+DwaBdf/1oOYZN+9b2fnaGlCu2V2DvwXo8/v16AMpAf+DdX2H3gdrAdm2OVQ/WucPqkxErGUc3vr8UZz43BwBQtLsKOysCz2Hx1v0h2zEL1gifbeyf05yN5QHthOyL+tXs2ocu/WTtaG6T69tU48hSMwH07wGzNixlNakXwGMy701CWpoSF4n1uw5YavvcF37HRS/Nw5Kt+/Cfnzdi0RbfrCb92d70/lLcpgsye2schZq6p35lxhERkX19xA7sknmoQk68u2JbiSxAnUxHH2YcESWN9Hh3gIhSjN9g8ePF6hQfm0vR6wed1fWNKK2oRZ+CXEv7vvzrZtQ2ePD7xnKcPqKrX7s2R+QOjmntTlU77jFlmlvx9MlhH9M/0BHwEti8Hp+oU7ZcJtdFa61FRlrAMc0KPkspg17mYEWk9cwyukIFrpxiNVCivQ38M6T0+0drZTm7tCAmAHx49XiM7tkOgO+v+dJt+413DlnzSZv2GEEHiYiaqd6uUmzyJN80NQDwwIVi2YkFsomSCDOOiKLsxMd/wVu/F4e9f22DG9M+WxVypaloMVupKhT/QbTdQbs+U+aqNxf51AoKeewwnzOiD1qYncOnS63d+FiZquYUrTi3f6BMnxnjEiLsLCqfGkcGjYwszAMAdG6T7X3e7K3k1GJzZjWONJGsiGaHEAJSSrw/f6v3dQD0BbaVb/z7q7+OE6Y31bCyW68o3Cl5obw2u9jw8RrdOfr0I8T11n4dYlWPiYgodUj0ETuScpqaZpPsjN4MHBElDQaOiKJs3a4DuPvTVWHv/+GiErw+pxiPf7fewV5ZZ7cOibZ1+cF6vD13S8DjdtsBgN+KlForVgfERtuFuyS775DWLwhjc7zrVHFsK6rr1cCR3+ML/aYchVtnxur0otyspsRWs0PZDXSYBSTMrq/W1R37a7DPb8U2I7OL9mDH/pqQxzM6BqCcz3erd2HqxyvwyLdNhb5X7ajAlytKvQGjBr/+OhXYCrryW8C21o9ptmqe2fGtZmAxbEREZE87HECeOJiUhbE1G2UXFIrdSEdiZNgSUXAMHBElOI9JdkKsuCPIXnhUN2i2HRzQijDrhpX+l6CqrlEJBPhnN6lfjTIZnEzG0LdV2+DGH16Zh6Ld5kvLNrhjl3Gk8c8Y+3WDb8HjcK+HWdzIOy1M99X7vcnBQvXBamChacU34/ZnLCzBmAe+D9nOxS/Pw/GPWc9wM3KgVrkRLtcFqjwSuPadxd73caPf+8GpX3E7zdh5/e3+DQq1tfd3nBlHRES2aFO8kjnjaKOnCzKEGz3Ernh3hYgsYOCIiIKyG1jQb68fZ9rOONKyFnR7+mfHTHx4Fkbe953BzsoXn0LQCL6yl2k/DPpkZO6mcvy6YQ/++UXg8uSaBrcH36/eZTuIVt/oQf+/f4WPwihWHmysH05xbI3vVLWmVpqCRIH7SAA19W5s12XzKH2UtrK3zC6flhETLBvKP8vHzMF6N3ZW1KJod5Wl7X2Ljoug2TRaMC+wxpF5DSg77Gxvp+VQq9bZ7YfW3Pb9Nfhtg7UV3IiISKlvBABFSZxxpAW9erNANlFSYOCIiIKKJNPJJ6BgNwBlMKT1D/rsqaoLuq9R/MB2P3RJIf67GtU/Clbo9735W3HFmwvx34WBAaC9B+vxzrwtBnspS9zXN3rw76/Mg1JmQi0fH27GkSvEvx7610/rg0dKXPXWQhw+/UeffnmkvX7oN33s23Woa1Sm5WmBDZcr2ARD68b9+wdvgXInadfGqMaRE0lHwdrwf3vaCaTq+2tlN6O/Hat2VOhWO1SeX1NaiUtemWe5H0REzV0fsQN1MgM7ZPt4dyVsm9SgFwtkEyUHBo6IUpzHI8MucA0oU9WklPh65U7DgWDPqTNxxRsLvD/7BAx029mt3+ItnAt9ZovJxqbTpqxNVSvec9A828Niv7UBeLDEmR37lQFzaYXydeX2Cm/NnRvfX4K7PlkZUR+MVNaa1w5wCYEXft4YVrs+GUe6x7XrqF3Oot1VTcWxPdI7Va5Kt2pYJOf31I9FeHOOEnDTahylOT31KYzuNU3DMt/Gv1i6U9Mo7dQ4CjdwZEWDwfaTn/oNEx+epR7bVnNERKTqLXZgk+wETxIP5Q4gB7tkHjOOiJJE8v61ISJLjnzoJ4z6l8F0LoukB/hs2Q5c/fYi9LnzSwy955uAbb5fs7tpe/30NJPvrSguPxjYF4ttaNsJ37lqAAIHymtKKzHxkVn4zy+bgrYV6vhNGUdNB61v9AsMqMN27eupT/+Gs19QljsvrwpdtDkcV7+9yPS5SMIrZnVpjK6Rtly7lEBeTgYAoOxAnc8+wQIs/s/5B/nq1VpBHpNgTZQWGQtg9TBaQNO/mLdjxbFhferf/5Zsx3XvLLa0rX6qmpX2GxqNa3p5C7czcEREFJbeojSp6xtpNnm6oI+LGUdEyYCBI6IoGn7vt/HuArbvr8H+6oaw93dLiZ0Vtd6fD9RZX/0i3GXBK2sb8PSPRQGPm2ZHqA+X7Kvx2c5obOvfwra91QCAhcVNq401uj2Yt6k8YPtgA3ujoMU9n/mupmfU/U1lBwP2SwY+s8F86loFnqQWQJMAWmUrq6xV1DQE3SccWlzD/1L6v25aPR0pJR78ei1W7ahw5Pi+xzS3bpdSQN1oqprdtgy3D7KD/9+Cv320AjNXWPu0127GUahV2Jx63YmImpMMNKJQ7E7qFdU0G2Vndaoa/z0gSnQMHBFFkX5wnKzcHhmwstprszdj0ZZ9httLk+81lbWhr0l1ndv7vX5wGWqgWbKvBhvLqowzjiy2ASjTn85/cS7mb95ruU6Ttxiy7qBLtvpeo8gHys5Gl4IVkQ53Xy22oL9u6WnC+1hT0fMmoVdVC16zSOuL1eur1dOpd3vw/KyNOOu5OSitqMH/lmy3tL9hH4XRxEjj6ZIa/8CKWf+XbN0fdr+cZLc4dn1j8O05TCAisq9Q7EK68GCTJ/kDR0WyK/LEQRTA+Q9wiMhZDBwRJbh4fygvZWCNpHs/X42zn58Tcl+PX9Bl2bb9GDbtW8xcbn0+u92V2Xbsr9FtZ1zj6I6Pl+Ondcr0Oi3Qo7/ORbuVjJDdB2p9jlm85yA27wmcQqfsH7rGkTdoIgOzsYLGcKL1HoggDqXPOApW4wgA0lxaYMf3GmhCBXxCxbe0582Wdw/1O9Tg9uCCF+fipg+WorbBHfC8f+DUkjCKRzv1Mkfrb8aybfvx1u/Flo8RLOOovrEpq4+IiKzrqxaTToWMo/WyGwCgryv8D26IKDYYOCKKkb0Ho1PDJtrcUsIdfMaJD7MMHQmJNaWVAICf1+/2382H77hf155JP+79fHXTvhABGUcbdh1omi4lJd6bvw3/99oCdfsmDW4Paurdhm0BwDXvLMYxj8wy7INRjSP/wbX+x0QoDGwlbuTxSKzeURm4r3qeJz3xi0+ha2/GkW7bdDVwJCF17w/f90mwzBx//tdV29PuNfUW7ZZNBcuN1DVY+wXQH36JWtcpWNDrvfnbAvvjwPtCQnqnbTrt7k9Xhd5I1RDkD8f0r9binXlbnegSEVGzohWT3iw7xbknkdvg6QoA6CcCV5slosTCwBGlhHKTZdmdUNfoxt3/W2k78OOfUdJoJ/oSRx8tKsE3q3Z6fzaaqqbxL/7sz386Ukaa8ifHvyiwP/1YWx8MMMtM0WrGmLUz+enfDPvk39fz/vM7DvnH17rHZMDraMbjF6zS9g84iPpFn20yY8E2W4ETp5gVuNZ7/ueNOOWpX02fX7vT99pLKXGwrhGPfbfe+1iaS3ndPbLp+vtkkoW4xF+t3Bn0ee00tMw4LZC1u7IWT/+wwXzFPIOHvzY41hVvLgzeQSi1xA6o0zAFgPfmb/V+b1W4NcEC23GkmYg1BPk9X7szMBhJRESh9XHtwC6ZhyrkxLsrEStDHipkDvoJZhwRJbr0eHeAyAnfrd6FC8YURqXtL1eU4q25W1Bd78aj5w23vF8iZJSE49b/LvP5WUoETFXT9P/7VwGP+a5CpssqAZCRrgQQ6mwE0cxqHC3QFbPWU4IIynZa9o8+wOUffNLHTrRaMvogjtWXUfodM9g2gG/g6K8fLcfQrm0sHaXn1JkWe+QMu4WjPRKY6zcFScs4qm/0YF+1EoC1M1UtgN/mTTWOmh6rrG3A9e8twfzNezGmVzuTvgYe96YPltrri84bc7YYdc8yx6aqOdROpIJlHCVKcIuIKNn0FjuwMQXqGykENshu6MepakQJjxlHlBL8xyDrdx1Az6kzDafY2KUFEYINgoykyopBwTKOQvEPImWqRZLNlun2bmvWhu7xv3643HBfgaYAgjY1zqxPvo8HPiGl9QGuN2ihzzjyTziSTd/4X9MV280DNNqWwTI4gjELNlnJhjELhJldF4+UgZlouiZqG5qmDOr3scNsdTt9m1W1jZi/WQkuZqUb/1MnTX8IT5XBioMH6wNrJplx6k+GU5lLkQpWTDtV/j4SEcWWRB+xA5tk53h3xDEbPF05VY0oCTBwRCnpnbnKJ/+/bigLu42aejcO1jXCpWZLBAue1DW60XPqTLyrq9mRKgMjj0FxbKuk3/faVLV6twcHDQbZ+mOG+t50cCyanntUN11K41+Q2FtY2aQvRkEKaRAc0Y5ZqVtJz39P/c9uG0GgaL2XNuyuCrlNmsveFDqPlKh3G18b3+10z9s6QrBjN32vD3iZTcnzeT8lQJ6OU69z/M9EEWxK6rzNgRmDOytqMbtoTzS7RESU1PJRiTaiOiUKY2s2yG7IFwfQDpzCTJTIGDgKYv7mvSFruNh1+jO/4S/vLXG0TQr8pL6yVglKtGuZGXabh/7rOwy+5xukeVfdMh8E7a9WggVPfN8UqEi2uNGcjXvw7E9FAY8/P2sjVhtk7lihD9LoaxzNWleGwfd8g4rqBsP9zOJUvtObjLcREEEHzgGBoyB5N0IYv47Tv16L/n//yqdo8j61BtavG5oGvkV+gRnvimOwt1JX00pksX9TpZlOvTOvG+QfMDDqtj5QI6XEzkrz4tRGx9BzCYGqukafrEB9vMuovpiUEou27Avax3CFW61KSmcCWInyt8duluYpT/2Ki1+eF6XeEBElvz7qimqbUipwpBXI5nQ1okTGwJGJtTsrcd5/fscDX65xtN1lJRX4fNkOR9sk4M5PVuCpHzZ4f85Qp0QFmyoRSrU6xUQbgPoHHPS0TAH9GNs/eyBaY7l9B+uxqSx05kgoF700Dw9/sy7g8f8uKvEJhoRiOmiVgdOeKmpMAkd+ASfv4w5kiJi9JwyDG9L4dXtPzSyrbWyahjRNt7JbKFIGX6rcn0cXcIo1V5CMo+r6wKwxKQMDBobvCQtBQKuEAIbc8w1ueL8pKK/vt9Fr7pHwrqyXKBzLekrSwFGyrjxJRBQrWi2gopSpcaRbWc3F6WpEiYyBIxPlVcoN7Lqdgas1fb1yJ/ZEcRUvCs8bc4q933unRNnIGPtkSQm+WlEa8Lh3qlqQprzLv+tyDfzHqtHKAjjhiV9w7KM/h9wu3OlmdpQdqENlrXEwSEIaBNOafp67qRy975iJvQfrfa7Vb7qpKxU1DZinFl42nanmlyVU2+BbYyYgAGgUF/GpU2R+3exmluhbshE30mUc2TygA8wyjqQExj3wQ8DjHikDA0dG+/u1ZYf/5loPD9QaT380Cvr6P+bkpQ23LcdqHEU5ciSlxM/rQ08DTpXpukREiWKA2IZK2QLb0T7eXXHMTrTDAdkCfZlxRJTQGDgKwX/MdKC2AVe/vShhPqneUn4Q2/ZWx7sbCUGfYaAFjmoarBemvfmDZbjmncUAgOI9B72Pp3lXbDIfBGnPaF04UNuA5dv2+2yj3/+X9WUB05jCVXbAWhDzNr/V0qLhsPu/x6lP/2b4nJTwrqil0Qf2Xvh5IzwSWLptn+k0rstfX4jzX5yL6vpG88ARghfRNsv0MQtuBBv72h0WewNAkLYyjuI5VS1YxlGlQaBGqXHkP1XNKOPHuHZVOIymUuqbNM44SryghnPFsZ1px8zyEmsr7enjhzU2ioQTEZGxga6tWCe7I/xJ0YlIoEh2RX8WyCZKaAwcmTC78dY+pd6aIMGaox+ehSMf+ine3YgL/8Fouk/gSPneP9vEqgtenOv9Ps2bcRRkqppHm6qmbPuHV+bjIr9aHfqB6qWvzsdxj4XOEnLSx0vi+0nOtn3VuPH9pT6P1ZlkhJkN6rfvrwEQfHUxIYTPe+N3v6Xh/V9HLQhsFpQJNgi3m8UVdsaRumcMksYCpNsujm0wVc1gO7MpiFb4v1YzFgbebOqzbtwGFzuagaOwaxw5lCkU7beJ1Slo+uuur/9GREThkBgotmGdp3u8O+K4DZ6u3ml4RJSYUi5wVNvgxhwHVmXRbuBN68JS3BkVyNVoA2w7GUd6B3TTrbSMi6AZR35PLfXLNjLaxi7t9PYerMeqHdY+8U8kU56ZHfBYnVojaLdfYeRQmTUXvTTX9PXwn6rm35aduldK9lLg9lqA0MbCaD59+XXDHlvFoLUux2PlL7NV1fyzxzRSSjT4BQSNAmz6R4IFZQ2PYWUb3UYrtwdmJAVMVUuADCSnAoOJcC6Ab8bRgSCrKBIRUWidsRetRTXWysJ4d8Vx62U3FIgK5CGwRAgRJYaUCxzd9clKXPTyPGzWTTUKh1HNGt/nm27MK6obvCsqRaqqrhEXvTQXW8sTI6MpkfkHDtLTml4rbVCoX/XKn9sjccuMpVhjMM1FPz1H+y5Y4EibWuUK8hvlVIbDTR8sxeSnfgtYkWxLeej3/JPfbwh4bPWOSuxQM3lirbbBg63l1RjzwA+Yta6pZkqoAfSqHZWmgTj/x/1/XrU9dNBt5nKl1lWoqWq2M47UzZeXVOC8//xueb9jHpnls38s+Rc01yzeut/wcY8EGvyuizYF1He7pm2CZZCFK9S1spPxZZdZJl0oUkpHXuN4ZKYZ0U85FUicgBYRUTIa4FIW5kjFjKMidWU11jkiSlwpFzhau1MJAhz0+3Tzl/VluO8L66seGa2SpTweuO3wf36Lkfd9Z6+jJr5bvRNzNpbjse98V7eSUqJkH4NJev4vhb6Ir1Y/prbBjd2Vteg5dSbmb97rs/3mPQfx8eLtuM5gUKufnqO9F4yyIt6auwVnPjfbOyXDbJANGA9kz3g2MAsnlF/UorQH/Va0utbgPPw9bjBd5JSnfsWE6T/a7oe/cIpv1zW6Dd/XVoJsZts0uD2Ys7Ep69B/q0e+NZ4yY7ZyXLCe/OeXTcG6aNBWZAPneIy77WZdGhXHNqQ7F9sZRxY2D3Wt/d8/TgZbXtcV6rfDqS4kSoDm7v+t9H7vEiIu718iolQxUGwDAKyT3eLcE+c1razGwBFRokrKwJG+GPS8TeU+N8nazb//YOfSV+fjld82W15lq9HkE/BoL4utBR7+t3QHHtEtjf7Kb5txxIM/eQNjiaYqDtMQ/Ach+ik12kC0psGN+cVKwOgNv8Gctr3R1CV9W9pxjDIU7v7fSizZut+7rHywMbZRoMNoSpuV/YDA96jdwbfTzn/RegaNxiwjzEo2iNnZPvH9ep8gQCSZXlJKFAfJ5LK7uqLRlClb/YnDVLVXfttsa3sp7Qd2Gm0u2261H8GYFWCPJ6cCPtE+s3DaFyL6/SIiSmUDXNuwQ7ZDJXLj3RXH7UA+DsosFsgmSmBJFzj6euVOHPnQT/hp3W58s2onzn9xLt6et9X7vHbj7Z/5oRVL1qbkrNpREbRYZ73JQMY7CI3BHfAzPxV5v5+rFvi9dcYyxwME2/ZW438RFE6etW43htzzTUBGT7T5BwT0wR4tqFLb4PZmP7g9EhU1DRh491eYXbTHuwKa0fXUv3+057WBppQSL/2yCfsO1qN1djoAoHiPEswUQdIzwn3ZzPYLtirX9v01eG32ZkvT15yyoHif7X3q3R7DXyUrwR6zTdbt9J0fH04mlObDRSUJs4IikDhTkIKRUloKcOnfvnbqTgHWAmih3kOJuKraOS/YD74aScRzAxK3X0REySBVC2MDgIQLRbIrp6oRJbCkCxyt2L4fgFKnRMs82lzWNDj2mASOcrOUAf5+NTPk9Gdm44nvN/gMKusbPdhUpiyRrgUb/NuxWhdjZ0VtWJ8eG011uu7dxfh+zW4ASm2X71bvtN1uMGc+Nwc3fbA07E+7f9+oBLUWbolt4MifUcbRkq37cfMHyjL0bimxcnsFahs8ePanIu82tQ1u9Jw607Qt7T1V1+jGje8vwefLS3H/l2tw+4fLkJOpvK+0jKtg03qOe+xnfLWiNOBYuw/U4ukfNgRkXdQ3erC7stY08BFY3Bfe8zl8+o+49/PVONehgWi0NLolHvpmXcDjVt6KZoNQ/4craxvDLnK/zEJGWCwlw8DbYznjqIndYLh+1UPT9kM0WXbAXrZYLDj18kb7bRLOr5MAcM9nq5zuChFRs5CORvQR27EuBQtjazbIbpyqRpTAki5wpAVW1pQ2ZRXoB4XaAMR/ISBtP22qmvYJd4MuEnTv56tw7KM/Y09VnXe7wBpHoaeqrdt5AOP+/QNenV2M+kYPGt0ezPNbElxvV2UtSiuUTCijFYy0Qr0apwvJatNt7AzeZhft8QZLtL3MColHS7Cpatrru1s3OPR4pO79IbzflxsUNjdaoW3l9kp8unQHbp2xFACwv7oBWRnKr5A3cBSiz0ZFgq98cxEe/W491u+q8nn85hlLMeaBH1C0u8p7vN0Hmlbiqmv04N7PmwZijR4P6hs9PvVltEBpomr0eAyDM1YCJDX1xivm2QmuhAqWmq0oFq/VFpMgbgSPlJayvPTX3ury7ppNZaEz6T5YsC3o85Of+s3WMZNJIgYYhRB4V5cdTERE1vUWpcgUbqxJ0YwjQKlz1EnsQ2vELlueiKxLj3cH7NLGazNXlGLmCnXlI909srcejd99szbQ869x1OCWUJORMLtIKY776Lfr8N5840GHN3AU5MZcG+jf98Vq3PfFaowqzMPirfvxybUTDLcf+8APAIBV955oKfRiNChYtaMCg7u0QWlFDfJaZKJFZpqFlnw1eiTSLey2u7IWF788DxlpAu9eOc77uNFgek7RHny/ZjfycjJw3TF9TQfiUkr8smEPjurXPuh0L71gU9WMgmBuKX2KnpsF4Nwe6bNCm/9xtP0WbmmamlVZq9Y4CiOiUKYuy17b6BsI0QKGHyxU3oufLduBz5bt8D7/+8ZyvDa72PtzRU0j+v/9K7TPzfI+Fqqml38R+Vj720crAh5ze6wNfM2m6hnFLASMg717qoKvhpgWbJk8MuSR1iox6V+naNTn0k/1TSZOXIkEjBvFLdhKRJQKmgpjp3LGUdPKaotl/zj3hoj8JdWoqKbBjbkGdXQ276nCqh3KEtvBVsACgHq37+D8yxVN2TzaHvqgkf+9brCpaj2nzsSdn6wIGNBqy1bvqqw12KvJ4Hu+sRR4uPH9pQGf6H+/ejeen7UR4//9I/7wyryAffYdrEd1ffAggdXBm1b/qcEtA6ZCPftTEXpOnekNWFz08jy8OnszHvtufdCaUh8s2IY/vjofYx/4wTSTxO2RuO+L1SitqMHykv0Y/a/vfZ43WlXNf39tQJXmEqaBh7//b6VPW1aCGP/5WVldyyQuFpT2mtc2KOc9Z+MeVFSHzhS6/8s1Pj9rmWOhCjZv2NWUrXf8Yz/b6mssNLo9lmr5mNXFMSp6bNbeYfd/b/yEKiPNLNAZvG9O0P6mJRsprf3OPPJt0xTFhmQo3pREop1xFE7r+iA3ERHZM8C1FQ0yDRtll3h3JWq0wBGnqxElpqQKHBXtrjIswPzTujLvtANt/BF446wMAP/6oW+Gw18/XI4J//4B367aaTgY9A/khLohf3feVtMsjzq/x6WUAdv6Bx7KTYIApzz1q8/Pj3+/Hg9+vRZAUyaMlE1Ts0be953P1IxdlbW44o0FOFDbFKCoa/Tgld82o67ROHCj8Y+3aNlXAsCL6vLkHy4qCajZs3irefHk0golqLb7QB3embcF989cjUe/XeczhWX+5r145bfNmPrRCjz300bUNPj20zfjyKDfuowjlxCmGUfvzd/q09b17y4x7be/9buqcM+nK0NvaKCu0YOyA3W46KV5uP3DZWG1YcVdnzT1b0dF8GBmPDR6pKV6W2abRFIM259ZhlxFDKYAJutUKgmJjRamkmmZmUB0VlVrzqIdh7MS2CYiIucMENuwSXZGQ/JNFrGsRBagRmaiH1dWI0pISRU4skKfcfTOvC2oqG7AwuK9QbMxdlTU4qq3FhkGhfTDxl/Wl3mnJAXjH9DQvDPXt77DvZ+vRv+/f+XzmH9x7BMe/8WwrbV+K0cZufjleehz55fenzfvaRrM3fT+Uny/ZrfP1KcPFmzDfV+sxk3vL8Xd/1vpHYCX7Kv2GSibrTj37vyt3u3u/GQFnvh+g8/zDY3moxmtVhAAZKS58NKvm/H0j0X4dUOZ93EtQ8gsM2re5r24ZcZSNLg9cBtkE80uKvepgRUsw8osYGDFG79vCWu/0v21WKrW+7G7zLsd84vjW8Q8FLeuFlU4nMy2SI/gfdBc7ayowy/ry0JvqNPocN225i7aGUdXvLkwqu1T5IQQJwkh1gkhioQQU4Nsd7YQQgohRseyf0Rkz0DXNqyTqVvfCNBWVuuCflxZjSghpVzYumSfUmS6aHcV7vpkJb5cUYrZReaFqfWM7rV/WLsb1727GPdOGYxLX53ftG2QdrbvrzF8XD9gb3B78Pqc4oBt9lX71lwxKtxs1ZyNxuddUd2A39Vi3fpAlZZ99NVKZdW2647pixkLt+Gx79ajY+sszL1jEp6btRFP+gWEtOu2pbza5/G5fgXBG4LM88tMawoctcpueluWHahD0e4q9O2Q6/0U3RVkMP/x4u34Zf0e08CLNqD6fs1unH+Y+TzxcGoVRerOT5qy4dq0yIj68cJdRS/anptVFFAo3A4nsy0iCSBGetxo1P2JBf372Kp/zVwdhZ40X4n6u02xIYRIA/AsgOMBlABYIIT4TEq52m+7VgBuBBA4v52IEkYuqtFN7MG7nmPj3ZWo2yC7YaxrTegNiSjmUi7jSKMFCJao9YWs8A/aaGYuLzVd+tzIyu2ha5Pc9l/jqUi3f7g85L6aYAPLM56d7f3evwDyQV2to1pddpRRa499p9Ql2lVZh153fImHv1kXkHG0akelYR/0xaOBwJWTdlXWYvHWfTj92dn418ymfyTSdUGkv320Asc9pqx090c1cOcSwQutBsvW0U8XNHsNjPoaa1v3VofeKEJfqwHCcHVsnRV6ozBEEjRyWtwCR3GsJHzHyQNjfszK2vgWaU81SRpzJOeMAVAkpdwkpawH8D6A0w22uw/AgwASb84yEXn1V6dupXrGEQAUebqiqyhHLqJ/H0xE9qRUxpG++LNWP8O/rlAwwYJBEx+eZbkdKxlOny7dEXKbUIIFN5bqljjfts/3j6/+NP2DO3rP/LTB9Dm93zdZy+jyn6qmrSbnr9agOLa+YPaCzXvDLqarrykVrE6Nvv5KtBllB1ipEROJ71bvwjXvLI6ojfRmsOJYvFZVc7kABC81Fr1jp+jyV3k5GdifBLV5nMgWivZUNUp4XQHol4YtATBWv4EQYhSA7lLKmUKI22PZOSKyZ6BL+XVe64nmimp2/t2I3n2CViC7j9iBZbJv1I5DRPbFNXAkhDgJwJMA0gC8LKWcHkl7+roa/1GLNNuZ7mFWm8jouZoGN9weie37jKelxYJZrSF/Jz3hW0hbHzwxCtJo3varyRSpercHj367DpeM6+GdUmhk+fb9AY8d+dBP3u8PBumzlT4kmngUqF5tkiVmRzOIGyEtTudY2xC/92mKxo2SItDZNicD+xwIbgVb/ZNICOEC8BiAyyxsexWAqwCgsDB1lwEnSmQDxVZUyhbYjvYOt+xBeqvVyGz3C9JyrN3zS086GipHoL78aMj6Aof70xQ46u8qwTI3A0dEiSRugSOrc/DtqKyxNt3Bv/ZOuPSFp+Phr/+1Pq1N8/3qXbjrf001SPQBsY1RzrLZvOcgnv6xCJ8u3RF0KpbTASu9ujgOyBOJvhh5uDLjFVWJoeY4AI9Hfa9YyEhL/PNyImgEKCvbUbO2HYB+Tks39TFNKwBDAMxSf987AfhMCDFFSulT+VxK+SKAFwFg9OjRfGMRxcEA1zasl93hXKZPI9LbLEVm/s9IyyqDp74d6vYcA8i0kHuK9ApktFmCjDaL0HhgMOrLJ8JT282hfgFbZUfUyQz0ZYFsooQTz4wj7xx8ABBCaHPwww4cbdpjbXrPBS/ODfcQCeXrVfZr1PivhqMvoP3t6l0R98mKWNTvMZOIGUdmhAg+fTISGbqgT2a6yycLLZw2UlVznPKTqgvJxateVTw0w7ct+VoAoJ8QoheUgNEFAC7SnpRSVgBNqQtCiFkAbvMPGhFRIpAYKLbiC/f4yJsSdchoOx+Z7X6FK6MS7trOqCm5EI0HhkCZ/GFNfdmJyGg3G5ltf0dG65VoPNgX9XuOhru6LyINbnngwkaurEaUkOIZOAo5B9+uF37eGFGHKLUYrUw1/au1QfcZ3KU11u06kBDLg2dnpPnUdnLSkq1NK/xluATCWbuvqi71Cxrvi2BVw2S1TFcfLZVE63cpEX23OrLC95TcpJSNQojrAXwDZTT4qpRylRDinwAWSik/i28PiciqTtiLNqIaayMojC3SDiKj7RxktpsDkVaDxoO9UVt6DtwH+yGcQI9056K+7ETUlx+NjDwlEJXT4xW4a7qivnwiGg8MRiTrL22QXTFKWKuzSkSxk/DFsfXz6zM7ca5rrHVolYXdB8xXKUtkWekuVNscLHZu0wJ1DW4UqcWpe7Vvic0WM9mcFs18ngZdYCw7Iy2sulHpzSCDw9MMp/yk6Ey1lMukcgnz1dO4qhpJKb8E8KXfY/8w2XZiLPpERPZphbHXeewHjkT6fmTm/4KMvAUQrgY0HBiE+j0T4al1qF6ZJxsNe49Cw74JyGizGJntfkGLbu/AU9ce9XuPQkPFKEDaH2pu8HTF6Rlz0AK1qEG2M30loojFc65JqDn4AJT59VLK0VLK0ZEesHMb/vGxq2PrxL1mnUL0rW1Opu02B3TKRUErpd1JAzvggz+PC6tvTshMj96v5zermqYlnjK0c1htdG7TwqnuJKyyA80v42hUj3bx7kJUtGqREe8uOCrY1LtjBnaIYU+IiChaBgh1RTWbGUdpLdejZZ/HkNF2Lhorh+HgxltQW3Kpc0EjPZmOhv1jcHDTLagpuRjSk4Xszh8jp/BFIM3+h69agey+IvIVqInIOfEMHHnn4AshMqHMwY9q+nSqLjNthdXCsP5jkZZZ1uc8A8AzF420tX0k3r0y+MzGcApASwn8rhZP/2Ht7qi+Z0IFMiNNGmifay1w9o/TBuGty8fYbj89CYoNN1cFrbLC3jfZM3MO6dza8PFU+/svgkwvkElQ5CjZ32dERLEwwLUNpbIdKpFreZ/01kvQovvr8NTn4+DG21Bbei489bH4QMGFxgNDUV18PWpKLoQrewdyerwAkb7PVitFauConyiJRieJKExxCxxJKRsBaHPw1wCYIaVcFc1j2l2N+Y0/jUFhuxxH+xCrlaiGdWvj87OVQsats9Ox6d+TfR7rkqdklQzs1MrScSM5v6knDzSc/nTqMOOMmFCD46x0e0EvAEj3639aFAebX994VNDnI32vXH9M6Kmd8++chIw0F8b2yrfdvlHGQ1YUs6TIukjiBsECEsnAbAplygUqgpxPMkxVS4Y+EhHF20CxDWttTFPLaPcLWnT9AO7qXqje8mfIhnhkEQs0HhiOmq2Xw5V+ADk9n4cry3rtvWLZCfUyDf1cLJBNlEjiOsqTUn4ppewvpewjpbw/2sezOyDKzUrDeaPDX2LypuP6BTz22V8OD7u9UFplpaN7OyXQ4x9s8Q/8tMoKnHPsUkdWd5w80PvYUf0KAAA3TAo8F829UwZ7v8/KSMO7V47FRWPtpcL+dNtEXH10HxQ9cErAczmZxgGgXINz0AtnqleG3+jSFcXRZpuc4FNnIo1ZHdW/IOQ2HdTpfuGsOGU0QG9h8lqFMqZXeDc2kzglx1AkGSfJHmAx+51NvYwjcx5GZYiIkl46GtFXlGCdtHJP7UFWhy+Q3fFLNFQOQ822/wM88S034a7pheotVwMAcnq8gLQWm6zthzRskl3QlyurESWUpEwPCDVFycxpw4PXcjm6fwGeOH+Ez2PXTuyLH2492vvzWaO6Wj5efsvAqUJd8+zVhenY2vqUk4vH9fB+r8+2ee/KcQGDpqmnDPT5+bpj+uDNPynTlf58dB/vNKo+BbnY+MApQevgnDC4o/f7zDQXJvRpjxMHd7Lcb0ApQq359a/H+DzXIkM5l/a5WXj3yrGYdtogXHlkL4gQA0H/IJAV6WkunyCK1YBK8fTJOH1EF8PnbgwSdAvG7ZH420kDg24zonue4eP9OuSid4H1tOZwggXpBil8oYJ5ZrIzwgs4/ecPh4a1X6pzRxQ4Su4AS7IHvqwK9jIxbkRElPx6iZ3IFG4LGUeNyO4yA5n5v6F+7wTUbr8grKLU0eCp64Tq4mvhaWyFFoWvIr3VSkv7Fcmu6MfAEVFCScrAUd8O1gfEmlOHdcatxw8wfX76WUPx4qWH+k3pEnC5BPoU5OLdK8di5g1HIMPGfDejT74z0lx4/PzheOpC31pALgEs+vtxAds/cu5wS8fKznDh8iN6eaeoaMvQj++dj/F98gMGgycP8Q0E3X7iQAzrluf9Wds6PU0EDZ48cf4InyLJWl0hraZSOIO47n7TA1tkKv/4HdW/PSb0aY/LDu+FuyYP8tnGKCMqnLFTRprwTk97409jgk5VO+4Q32yXh8/xfa0GdmqFf50xBDcf3z+MnjS9hsGY1XPxqG+Ek/wCeGavZaggnBGjGkf6AKAdLcKoR6X0wd5+FxwW/nK2yaJPQUsMMnlfWJJAgZfvbg4+ndOIWfeTPSDmL1gG7Z6q5FwJk4iImgwUWwEA64IVxnbVoUX3N5DRZinqdp+Eul2nIdGGd7IxD9Vbroantguyu76DjLy5IffZ4OmKQrEb2eC/Z0SJIrH+slgwsFMrn9ov7181Dm9fPhbD1Zo+7XOzcP+ZQ/DH8T2w7J4T8OxFowAoA2N9IOeGSf3w3pVNK2ZdMKYQWelppp/iTujTHoO7tPGZXnTFEb2C9lUL4lw4pinFNCPNhTNHdsNkvwyev08ehPzcrIDjWx3srPnnSSholRUQONICOf7NtM3JwMUWppPZXXJde220r3YH9ppbdcEWbapasCSKW47vj+LpvvWZPGFkXeiDZ53bZAeti3WtXw2hzHQXpgxvyjq6dHxPXKJmgYVaAU5zw7F98cfxyj5WAkdmr4926gP8piiGs9KcnWNbPU9/ZhlHRll7kUjkVQKdcv+ZQ8OaeqhJ9gCLWRA0kmuSbP7y3pJ4d4GIiCI0wLUNjdKFjdI4o12kVSGn8EWktdyImh3noL58IhLq0x89d0tUb70C7qoByO78P2S2/w7BPuLdILvCJST6iNLY9ZGIgkq6wJHbI32ygsb1zscR/drj9hOVKT1Z6S5cPLYH7j19CNq0yMDxgzri/NHd8ZdjfQf5txzfP6CANOD759Zo/HHzcU0BjROHdMI/TvXNfBnaVWnz+EEddfs3/WHUBi9pLoEv/nKE9/s/qUEo/4LIVsdw2mBJq23SKlvJ0tEyQPwHg0II3DX5kJDt6QdbH1w1Dj/cerTPY9Lvj362GqiqbfAAUAJURi4/oheW/uN40+P/ZVI/7zQ9LbPFbiDIznSNv540APPunIQxvdp5zynNJYIOoo2yz/Rj02xdFo1ZM7f4ZSPdcsIA3Ki+x6z032wwrF0ro4BhOIzqJRkFBcOpKwUYT3sDgJk3HBlWe+aZVWE1l1SCneKTF4wIuX8ixVecfL1S7bVPlvNJpPcTEVEyGSC2YZPsjHoE3ruJjHK16PRu1JRcisaK0XHooU0yEzUlf0D9/tHIKvgBWZ0+AeA23HS9VGrM9uXKakQJI+kCRx4pDVcI0waK/qs6Zaa78OA5w9C/Y+CqYKE+gTZ6tkVmGv591lCkuwQGdmoVEMwY3ycfG+4/Gf+55FBvnaG6Ro9h++1zA+sXaf3//paj8fsdx2Jgp9Yh+3rZhJ7e77XeHN63PZ69aBSmqoWujQYZLTLScM3EPvjqRvPBuf64Y3vno09BLmbdNhEd1BXN/GM5mWnKOQ/p2hrd2rbAv88aatjunaccgrwQ2S/+UzGsxI2undjH1g6L/n4cvrnpKFw7sW9ANkq6SwSdqmYU69AHmqzU7TlY3xjwmPYecHuk4eumfyuYZRxpNW78r2HbMDJ4MtNc3vpXekb1uqys3mckw2/a21VH9Ubx9Mno1Ca8DCHTwFGifhLnIJdLGL71v735KEvvycQKSDjXmYQ6LQek2vkQEZGvgWKb4TQ1V/Z25PR8HsJVg+otV8JdFbweZmJJQ13p2ajbcwwy285Hdrd3ANEQsNUW2QkNXFmNKKEkXeBIyqZBpn6lMO2xnCzrRXaNBt0jC9uG3O/CMYXYcP/JaJWd4VPfp6kvLrhcwpt9YRY4Mgo8aAO7Vtnp6NymBdq1zETx9MnYaLDamMYnA0g2PTZ5WGdv8Eof0NCyToQQ+NtJAw3r5GibGw20u7fLwRF92wMIzIrRpsbl5WTit78di0MLjVfL0vr8l2P7BmRtaa4+ujeApulKVhKI/nrSQLRWs630fdOvFKeXn5sVMJ1L38dgq6oZZSMJn8CRLuPIpI3aeuWTlkvH98DcOyYBUAJ6Azu1wqPnGde3ulw3RTLNoM4QAHg8Wn98Hw81vdKqwnY53tdazz8AFIw+4OlfLynSVaGCBfxCCTdrCgCmnjzQ9P0ciYGdWmGAQfDbiNmZ9y3ItfT6JNJUNSe7Es0VEuMhnLpk8SDBrCMiIrtaogbdXWVY6/EtK+HK3oacwv8AMl2tG2RvFePEIFBfdiJqd05Beu4atOj+KiB8P0htQDqKZScWyCZKIEkXOHJLCSEEPrhqHN7V1SiqV4MzLTOtryJglJXQqU22t15SsBtz7blThnbCW5c3ZWPol8HWpp3VN3oMszOMBrdnqqu22VnWPN1g6ph/09rPj58/HL/4rVoWFrU9/2W//afaZaQ3dcR/xToAuPWEAd5pev4uO7wXiqdP9hbHtjpVTduswa28J169bDT+fHQf3HWK+dQ8o/3Npk9pjAbYPlPV0kO/hlp8pE9Brje7xuUS+Pqmo0xXstNfhrJK46KBZsuxjyjMC9knK9weaXz+NkaIh6vBRyDwWlt5pYMFUsy6YWWsHe7KcABwWM92pgXC1/3rpLDbldL+tNXAx0O/p4PtHw9O9iTSgFin1tk4eYi91SKjKXFepeCkTKxgJBFRMhggtgEA1uoyjkRaFVp0exvS3RLVxdfAU9/BbPek0LBvAmp3nIf0lpuR1fHzgOc3yK7ox6lqRAkj6QJHWvBgbO98tNNNu6mqUyLVdgZ92gDJf5U2bdBq5VZXCIEj+wXWfwGasm/qGz2YecMR+PHWo32eNwpc/e3EgVh2zwlonW29Fo3LIOPIP1NIy87qW9AKrSy0rd3n+9cw0oztpWQS9fG7dv5ZKPqB6hkju4a16pZ2JkbBEKOAnPYeqW1Qsnm0873yqN7ebX66bSLevnys4fG0oxitGua7XWB/9OOjLN20ILPBuDalzE7ARX/U/TWB6b1AU0DKv1U7qwIGU9vgNvz9sFNMXZ/Z458J087ClLqRQYJgpsETC/3KsRG0DTyueYAny0Ig0YyEtBzQMdtMiOArJHq3s9Mx1VSTjD4rhhvUmouEWf8jzXqZe+cky6tcxkQSxWIYNyIismegSwkcrZNaRpEb2V3fhUg7iJqSSyAbnf23M14aK0eibs/RyGw7D+ltFvg8t0F2RQ+xC1moj1PviEgv+QJHxrO+vAGMKSOMVx4w89E1EzDjz+N9Hps4QIngF7QKrEFkR5sWSsCibU4G8nIy0bvAN8hiFCxwuYR3PzP+g3N95pL2nP+N+l9PGoj3rxqHoRYHaecdqnzCYVYT57zR3fHb347BKL+pfQEZR34Bgc//cgTm3znJUh802qfVRkk0n11/uLfIuEYLmlSr08D8g3ADO7VCr/YtcUS/9jCiBaj8r/NlE3r6FBdudAd2yLfGUehfL+1YZlOrzMZblx/RC89cNNJ06pEW1DpzVFe0z216DfXBsOv9VoWzo/xgveFg0M4UMf17RSu0nZ3hwsBOrXDe6CBLz6pOG27vdx2wNoC1UgfItH1Ell1x/KCOQdu2wiWEacDXSuAonP5bWQHQjPb31oiT2U9W6lv99aQBQZ9PpMyZcOuJxUNzqC1GROSkAWIrDsgWKJHKvWpWh2+Q3nITakvPgqeua5x756z6shPQWNUX2Z0+hSu7KcNog6cb0oREL7Ezjr0jIk3y3HmqzKbg9CnIxdr7TsLpI+z9MT20R9uA7IabJvXDvDsnoYtBNkvo/jV9P7J7Hh46Zxj+ecYQw23TvAERe4Ou3Ox0rL3vJNwwqZ/Sjm4w+OblY3HNxD7e4tWajDQXxvXOt3yM64/ti3X/Osk080kIgW5tc7w/P3/xKIzp2S5gpS3/gV9uVjo62FwSXTs9o8uUn5uFIV19g2HaoDlXrXWkD8Qtuft4fHLt4ZaOq7+urbLSMW3KYJw+oqt35TyjwbJvjaPQAQitDTvZEFICd586CKcO6xIweNQGvlrXurXNwcK/N61ep88Au+3E4IPkYEYV5kU8Vc0n48jVlP339U1HhQzannNoN5+pbk6ykzXlT4imlfgm9MnHpiC1yYzkmQSNbU1VC/KctcCRtePoGQVRrQp2XgLAn3WZgpGwcv1CZeQlUNwIz1w4Mt5dsCyRrhsRUTIY6NqmriwmkN5qOTLzf0H93vForBwV765FQRpqd1wI6c5Fi25vQaRVAVAyjgBwuhpRgki6wJE7SJAlkkwBPZdLBKywFQ4hBM4b3d00+GJlEGck3eVCdkaat4Cwvp2+HXLxt5MGRvxJvRDC1tSak4d2xoyrx4feMAxaMMLqLCstaPLypaNx3+mDfVbmatsyM2T9KO9UNfWAb10+Bl/ffJT3ee16G70XfWocBXk/9shXgm5qGSZbmQxm2SRAU92fI02CKqGm31nxy+3H4A2DVdYAa0EXbRv9CohawNFqZkKorSI5S7NrlG9h+pxA0/vUI6X3vWuUGfbZ9Yejd4Hv1M1g4Rer75Fg21maqhbGxXObpYJGSAjgjlMOwTEDjKcD22ElPh/q9yORAiD6wH2sXBVmEC+RMrWIiBKfxACxDes83eHK3IXsLh/CXd0Ddbsmx7tjUSPdLVFTcglE2kFkd30fgBubZWe4pUBfrqxGlBCSL3AUnfGJY+x87h7uzbQ2CG00CBylomMHdsAfxvXAtNMGW9pem+7TvV0O/jC+p+3j6VemA4Aj+xX41FLSAh9uj8Rn1x+On2+f6H3OZ6qaLjDy8DnDfGq5vKcWdpcWaxydMaKLd0U0/QBYXzD8/avGYdIhHfHz7RPx77OHGrYTSTaNpjA/B62yMwyDk8HO46yRXfHqZaPRWs2q0WccpZlMsQSA3gZ1sUL+7gSp8xNKmkmEUsvwM9JZF5zU+qbFUubdOQnz7jwuYJ9h3fICsgDNghsSdopjmz9nZSqhlWvkX5eo0cZUNTt/r8KZ4mTW/dpGd8h9/TMmnehPKgn336xU/zeKiMhJHbEPeeIgVojOaNHtLUhPFmq2Xwwg/MU7koGnthtqd56B9JZFyCz4FvXIQLHshP7MOCJKCEkXOLI7rSuRaTfTVgoB62mfihe2y/H5mqoy0ly474whlqe4PXbecMyZemzYNUD6d1RqUZkFWa44UvnUvU9BLoZ1y0OP/KbAhlnG0YS+7fHp9U21mFqqRdy1rKVQXS1olYWubZXglf53QJ/ooQUheuS3NM0Wc7JmzMLivQGPBQtMtWuZiWMHdvQOvfWvT7Bl4mdcPR7vXuFbyNxq9pn+d6tLG2vvH7NzmBKkppIWwBOi6fdae6xj62zT33H/Y5llk0lpvIqdkaCBI4NzO8IvO83KcfzjRKcO62JYqN5IqBpu0WKlf5nq+3B0j7aGzydS/CMeSTzhnn8CXTYiooQ30LUNHgCzOhZDZO5FbcnFkI2t492tmGisGI36fWOR1f5npLdagSLZFf0EM46IEkHSBY5uOr5/vLtg6HS1KLeduFaaS+DfZw3Fh1dPsHWs6yYqRY0vHNMd714xFqcOM162PVH8+6yh+Phae+cYiaz0tLDqU2nevXIc3vzTGNPsmZOGdELx9MmGwQCrNY5aqM9pA3Arg3WjLYJN3bTro2vsTTXcVx24ykWw89Ce0r7qgybatECjvdvnZmGCX3BDf52/vunIwGOpX/WBkltOGGA62D5BV5R6QKdWeOvywKl4waYxNa1iJ7yDayuvjZ1MDKvbCgjTv0NGbbx46aF++4fmX9+rTU4G/mtxqqp/Af1gIg2OnDe6G/55upKp2OCWGKOuBmlGex/mmKzO6R94HW+jblwqsPIe1ALvepypRkRk3QCxFS+3aY2qVttQt2sy3DU9492lmKrbdRrc1YXI7vxfzE/PR0+xExlojHe3iJq9pAoc5WSm4Q/jekTUxoNnD/VZGcspWsHkYPVnjFw4phA9bS5Rf8EYZWlOIQQm9G3vaBZJNFw4pjBg9bVE1j43C0f1D6+miv6lCDbI0jJsPN7i2MbbGj2sf4dp2UeXjCsM3NCmQ3sEH1T7MyqIrD9n/2uovU+1r/qMI+95Bnkv36ibKqbfamAn80/h9FOzgo15n7t4FD67/nC8fflY/OPUQTiyX+Drnx4kzUmfBdahlZLZFCpIARisjBVkqprVFeuCZWMZZVP5v/esZHN5/CJTAtaDA1kZLiy46zhcO7GPuq+zf7/07T10znAM7qK8P1plpwc90gdXjfMGB/X1t3zb9vXeVeO83z9zUfIUqw6XlX9rLjWYHmynaD4RUXOXlrsez7Rtg4aKkWjYF7sPXhOGTEfN9oshZSa+6LwVtS6JnlxZjSjukipw5MSt5/mHFdpeeY3IKm0QftcphwTdThuAuS3WqVJW1RLe7zVa4sfE/uZLmhuxOq0omAaDujb6wMSowjyf54TfV7v0bZsF2l64xHe1Ef1lDZYNlZ7mwrBueTiiX3vTTLFgr5E340gotbVm3TYRt58QetU6/zaDhZ2tBqWDBWKMBvD+l8VKcMA/o0kI6wGgcb3yUdAqy1K9LSdi4qMK2+LBs4di2pTBQd8Dg7u20QU1rQdyNVYDe8ks3PgPi2MTEVkjMsrxSccydKlPR23pmWiuk31lYxvUbr8I1ZnV+HtBPvqKbfHuElGzl2RV1hL3j6fRoJ6an/xcZfpaq2xrv1pa5oaVAZk29tIHEDzSWuBJ7/tbjkL73ODL3esVtDLe1mglLVew4I76o5Zlo89akdJnE0O5umtqdrqd25gHxOwEN4wEu8b+tdesZhHuO+g73c+shlu6SwRMDzMT7K1gJePIyhUKzDiydl3vO30wzj/MenacE9mUQgjvMYM1l5EmvO9ps+yyYP1J9MxPJ4T7+5P6V4aIyAGiHjnd3oYLHhyzYwDWSns1UFONu7o3GnediB86fY3R+QuBsuis3kxE1iRVxlEi440xAcCVR/bG/WcOwbmju1vafrJan+qQzqGLHmrvMf2Y/Z9ThuDUYZ0xvo/1Wit9O7RCXo61m5HHzx+OGWrtmjf/NAb/+UNTPRz9VLVJA5WMJ33WhX+gRRt0vvGnw3Dlkb18ViLTWgo29r54bNM01VEmxYt7qoXK/+/wXgHPuYTwtn/WqK54+kJ7U4vSXAJPXzgSVx6ptK1fFc7GomI+vlu9y+dno2Zys9Lx4h9Go6rO2vx+IcwD2Pog0UR1ifuAqWoWAiD+9ZuEsJYd1Lsg1+e6GQmVrReJoIEjl8v7ntbXs3rlj6Nx96mDQrbdHGZjzS7aE9Z+zSGoRkQUGYnsTp/AlVWKB8v2YGd933h3KCHU7DsaRx1wY1H+dqS1XB/v7hA1a0kVOOK9JyW6jDQXLh7bwzQ7ZfLQzj4Bk9NHdMXGB07xWZlNTysknJHu8v4C6Ifshfk5eOaiUUELcdvxwiWH4nxd0OvMkd2809qO6l+AEwd38j73lC7wovVJf96BU6CUr307tMJdkwf5DCa1TJtgv+L6gIPZdNM2ORkonj4Z5x0WGLhzCYE8dUWvvh1ycVqQVdLMnDa8izer6aIxhd5ro19VzQrtda1vDMza8vePUwehZ/uWOFBrNXBkbara8xcfilm3TQx4r1oJHEnpWwdIwFrwXL+NWaxNf/im0lfO/PE3ypjpmZ+DVtnpcLkEGtUIoD4za9IhHXH5EYGBSH/NYcn5mgZ3yG2MXtdmcGmIiCKS0XYuMvKWoGf5QBxZU4t10toHkKlP4OTdHdC9XqJFl/ch0vfHu0NEzVZSBY4SGYNaZMWzF4/C73dM8nks2IDzgjGFuOqo3rj+mL6GGUdOO2lIJzx4zjB8et3hhquV6fXr0LR6khYM0wfA/Gu+BPsVcTojwWjKl0sA547ujgfOHIorj+wdsg2zAsl6F45RbuzycuwtMb982gkAgN4Foae0tVRX+KqsabDUdrArqX9NsjNchlPq/N+Ot58YWKvJIyUeOmeY70HDfAmDvfTe6ZkOvemNjvV/h/fCimknAoA3cJRmpUK4n2St42On2w3u0IFOIiKyR2SUI6vDl2is6o/j97VAo3ShSLIeq2arpzue2rULcDUiu/MnCF4RkoiiJakCR8lwW+7UAIcIALIz0nDnKYegZVa6boAX/ffY8O55QVcrA3yDPXefOghPXTjSZyWxgNo5QX6BtTpKYx1e3lzfRyEE0lwCF40tDFzNzMAPtx4dcpvrjumLovtPxi3H9wegFMa2QssQe/HS0T6PG/35aJmlbFtvcdAeLIChDwqZBut0D581siuuOyYwXd4jpe+1Vf8LyVItrwj/0tvcXX9NCtTaX73aW3sdfdqJcVqNU//U2Pk9DTdwlKQxNSKiGJBKMES6UFt6Ng4RJdgsO6Me9j6QSmUbPF3Rx12PVmXjkJ67Dumtl8a7S0TNUlIFjhI5chSLrv37rKE47pCOMTgSJSJtYJ6IscnsjDRM8Zv65T+QDhZYKGyXg59um4jbLKxEZoXRNbI7eO3W1jh4oG9aCIH0NBfOHNkNxdMno3V28Bu9Y9S6QpoOfoXHzWocAdbrKAU7TyvBDX0goV/HVobbeDy+f/OsXlu7xZWNCoKP1QUn7TIKqumvyYmDO+K1yw7D5UeEzkgLbDvsbsWVf7+DnUaDO7w/PpEUpSciSmXpbRYivWUR6nafDNnYBgPEVqzlNDUfG9Tsq2H78+GuLkRWx88h0qri3Cui5iepAkdmK90kkmiO6S8cU4iX/zg69IaUkpqm7cS3H1YFDEhDjB17tW8Z1Tox4UwlGtgpMHAibdYz0nv+kkMxe+qx3p/9s2uMMhZbegNHVldVEz4r7/k/Z+TPR/c23MasHSXjqOlnAeeySvTNGCzch5GFgYXR81s2FXs/e5R5er/R2yvNLyvtmIEdwnofRjpVzei9Fg/BMr4ag2QcXTxWXS0vzD9Q+sL7RETNgUivRHbHmWg82AsN+8egJWpQ6CrDWo/11Uebg41S+WCyv9iO2tKzIVx1yOr4eZx7RdT8JH4kRqdbW/OltuNNu9lOlkE9JZ9k+8w+cFW1+AonJvX1TUeZPhdOFkV2Rpq3oLZmztRjMf2soab7aBlHdv62FJpMmfOvO6W54+RDvP3Sb2J2TI+UPucvhLWrYaVt/TZub5Cu6UGjWYZTRig3lX+ffAiO6FcQuIGun/6cmmIWaeDohUt8AycfXzsh6PZmQb1IBTuLkSarGQK+r9tlE3ri3EO72TpupoXpo0REqSSr46eAaETtzrMAuDBAbAMAFsb2U4NsbPMUoJ9rOzz1HVFffiwy2izDz9t+jnfXiJoV3qk5hDUcKFaiNWAM14Q+xnWJ9IP080Z3w5VH2Z/+469PQUuf7BI7ErV4cZe8FsjRgkMGz2sZR1a5XAL3ThmCF3UZHH8c30NtK/Tqe1biKG6PX70khF+byH8v/c9GU9WMXkd92Kp1tvn1MuqhWTDNrkjjTzmZvq/NKIPMqmjwD/kF+z254+SBps/pA4HTpgzG3acNstWP5rAqHRGR5vst3yOj9SrU7zkOsl75wGOASwkccapaoPWyG/qJ7QCA+j1Hw13bEffNvQ9V9ZyyRhQrDBw5LNEG9ZQ6EnGq2rp/nYS3Lh9r+Jx+QP7QOcPRyqD+z/BubWwd74dbJ2LR3ccHPN4qSLBAk6BxIwC6gEaQ4th22mqRmYYTBnfyPjZOLTqebiGrw0oASPpNVdOOa6Vvdo6vTc/TT+EzDBzpHmqZGSRwZNABp2ZAR5q55PTKgtYPHOJnnUwLKw1qXD5TAO1tT0SUyirqKnD/vPvhru2C+vKmFWwHiG2oktnYLtvHsXeJaYPsit6iFGlwA0hHbek5KKspwxOLn4h314iaDQaOHMJbXoo273TIMPadd+ck/Pa3Y5ztEICs9DTTTAEr42inYmC/3H4Mfv1r4Pnpx6KJPDD1BgUNrkhWur3AUaTnqd/bbJXIO045xGdLIRyscaRrp1f7lgHPBzs/KYMHcAynqiVIxpH+96hlZujX3E4A+aNrJqCVSeaanW4Hy84KJ5AYbH8iolT16MJHsa92H2p3nA2g6e/9QNc2rJfdIDk8C1AkuyJLNKC72A0A8NR2xyWHXIIP1n2AhTsXxrl3RM0D/zI5LJGyQSi1aOMqq0WS9Tq2zjZdJSxa7GRgRDpmbNsyE911dX2MLpFRgOCjaybglTALzjs50B3aVcm8OnVYlxBbhhaqX3eeMhDZGeZ/+n2KY6vXcfHdx2PR348DADx0zjCcc2g3v+LYzl0MraXxvfORoWZI6QM+Rm8rq0c3nKrm0BSpSDOG9N148/IxEfbG16E92qJjm2zD5+x028q10n71fDKOLLTNwBERNQdzS+fik6JP8MfBf4SnTr+Yg8QAsQ1rPZymZmS9R6mbd4jY6n3suhHXoWtuV0z7fRpqG2vj1TWiZoOBI6fwrpeiTDSlpSQFO5kc0Tol34yjwOcP7dEWkw7paKvNaASHe+S3RPH0yThlaGfvYx9dMx73nznE0v7F0yejsxoYMKoLpHfVUX2w9r6TTZ/3XVVN0a5lJvJzs1A8fTLOG63c1PpcTmE/eGQ6rVc9vtnbxyggGSxjy2g7PadqHPm3M6ZnO1v7688rNytwWqc/u29Ds7M0et1ys9INa4nZCY7ZvaxOBh+JiBJRdUM1ps2Zhh6te+Ca4df4PNcB+9FWVGGt5IpqRtbIHqiVGTjUtd77WE5GDqZNmIYtlVvwwrIX4tg7ouaBgSOHJcmYnijqEq7WrUP90YIT0T69Q3u0w8Vje1jePkutP1Pb4I7ouFZWPgMMatiEeUH0x5vx5/HeZswCj8Y1jtRpnCH+ABsFJ6K1qtoj5w4Pe3/t2+MHdcRfTxoQcd/0bVqx6O7j8PsdkwIeD3apCnKVwGWbFhlBj/fUhSO93+sz3/jZCxGlumeXPovtVdsxbfw0ZKf7ZoEOdCmZNOs8DBwZaUA6lsq+GO1a5/P4uM7jcGbfM/H6qtexpnxNnHpH1DwwcOQQ7Z6XU9UoWrQC0G3DXFUs1uxkHMVizOh0jaNEG+jeNXkQWmWno3ObFo61GSyDx3eqmrXrYdSalE379myf4/3eN4ClL45tr329fh1zAQDHDuzgDVqE+7647wzfbLCAGj82m9VnLGnfvXTpaJw9ynhZ+7Y5obOSfPpj8ltm1M+s9DTDQtjBrtW1x/TBI+cOx5ThXQK27V2Q6/3+kE6tvN/rM98S7NeJiMhRK8pW4O01b+O8/udhdKfAKfID1SlYXFHN3EJPfwwRxWgB32lpt46+FW2z2+KeOfeg0dMYp94RpT4Gjhxy+oguOLp/AW6Y1DfeXaEUdcKgjrj/zCG4/URnMhCizU4mh9PxVqOAh1OBo3gFh0N1//hBHbFi2oloYVBY2c6pW8048gkcCWsTjczaE96vwhvgMJsWZZhxZOHYAHDjpH5494qxePWyw9AlTwmwWVhoztAfxvlmg/nX/7E9Vcvm9nk5md66U5HwP2ywbgT7HcpIc6m1r0RAO89eNMr7fec848AmP3MholTV4G7AP+b8A+1btMfNh95suM1A1zbslG1RgVzD5wlY6BmAdOHBCNdGn8fbZLXBXWPvwpq9a/DGqjfi1Dui1MfAkUNaZWfgjT+NcfTTfiI9IQQuHtsD2Rn2VtmKl3hOVdOWnW+X05SdFUl/nCqgHIlvbjoqJsexWmtGv53Vq2MU0FNWZFNacImmAIrLLzAVojNK+yGiD+lpLkzo67vMsXOrqvkHjuy1q3+P+WdzmcnPzbLcvtXuBLuEdk5Jfz3a5GSgePpkFE+fjGy/TKZxvZVaUOEU/SciSgYvr3wZRfuLcPe4u5GbaRwYGi3WYamHHz4Hs9jTDx4pcJhYF/DccT2Ow3GFx+G5pc+huKI49p0jagYYOCKiqLBTdNjpsEzXvBa474wheOnS0d7Bbqtse1N7NEvuPh5L/nG892dtifh+HVqZ7RIV/TuGfzw7Y3L9yxZsMO+bcWQ/UKJv2ptxpGvD7P1jGHxSW9Cee+3/DsOjoWoMqc04FRT0b8Zuq76BJ4uRIwdkqIEco2LY/mxNPzXZ1P994n3tGDciohS0cf9GvLj8RZzc82RM7D7RcJsu2INCVxnmeQbGtnNJphItsU52D6hzpLlz7J3ISs/CtN+nwSM9Me4dUepj4IiIosJOICEaY8Y/jOuBDq2zMe20wcjLyUC/DuGlf7dtmYnWuqDTCYM74dPrDse5o41rzyQ7/cvWGGSFNv3rK6zmKRk0J4TwyTJqCiKZNBHkzaI9d8yADjj7UGuvj1OrqgUERGw26/ILxMVKh1ZZeOTc4Xjpj4E1N/zZm/JoUlPJ72eXehfCjCMiSjUe6cE9c+5By4yW+NuYv5luN9alFHWe5zkkVl1LWgs8AzDKtQFpCFwIpCCnALePvh2Ldi3Ch+s/jEPviFIbA0dEFBVWMjmevnAkLh5biKFd20StH3+c0BNL/3GCY6tnAcDw7nm2M2ziydaAXze0dwcJHNU3Nn2aJ0T4wQ4pZVNdIwhdO8YNtjNcJj6M43r3jVbGUeh2V//zxKbtTQMt0Qls6Z1zaDcUqNPewq1xZL0fxm16pBLEGlWYF/ExCBBCnCSEWCeEKBJCTDV4/mohxAohxFIhxG9CiEHx6CdRKvts42dYVrYMt4++Hfkt8k23G+tag/2yJdZIrqgWykLPAOSKWgwU2wyfP6PvGRjTaQyeXPwk9tfuj23niFIcA0dE5ChtYGil6HCP/Ja4/8yhCVFDiBQ+GUdu88BRTYPvp31WAhymrWkrqblCt5OR5sL8OyehtzplULd7WJx674WTcZSTmW7YF59Jaw79aoRqxspxnLhUgddJm6omMf+u4/DxtYdHfpBmTgiRBuBZACcDGATgQoPA0LtSyqFSyhEAHgLwWGx7SZTaquqr8MSiJzCsYBhO63Na0G3HutZggWcgJIdlIS3wKAvEmE1XE0Jg6pipqGqowrNLn41l14hSHv9CEZGjjOrVUOLTXi79q9boMa8RUFvfFDiyXHjZbKqa9r1/B0x0aJ2NH2+bGHB8aWO6k7atWYDzuYtH4ftbrBckt7M6Wci2bPzuvH35WIttRn7McH6n/+/wnkGfd3lfO9tNk7kxAIqklJuklPUA3gdwun4DKWWl7seW4MJ2RI56ccWLKK8tx9TDpsIlzIdbHbEXvVy7MJf1jSwpRT62y3wcZhI4AoB+bfvhvP7nYcb6GVi/b30Me0eU2tJDb0JEZJ9WOyad2URJxWqNo4CMI5svs75lbbqSPohkpX8BbdoY+nq8xbGNb+hPGdrZemMwmMYVo0yhAZ2iV6T9rcvHoLrejT+/tch0mwfPHooOrbINnyuePjnkMbTzY40jR3UFoJ/HUQIgIMIohLgOwC0AMgEcG5uuEaW+LZVb8Nbqt3B6n9MxtGBo0G1Z38i+hZ4BynWT0vSm4PqR1+Or4q/w0PyH8NIJL/HDTCIHMOOIiBwlvEEA5WdOQ0s2uhpHQaaq1TYEFqYMxWhFNMB/hTb775dw6gAdqG0AALRpEd5qewF9CKPGkWlbPu0Gb6dlVpqlNm89ob/lY2qO7FeAEwd3Crrf+YcV4piBHSz1wYjLO1Ut7CYoTFLKZ6WUfQD8DcDfjbYRQlwlhFgohFhYVlYW2w4SJalHFjyCTFcmbhx1Y8htx7nWoFK2wGrZM/odSxELPAPQSewD9m8x3aZNVhtcN+I6zNs5Dz9u/TGGvSNKXQwcEZGjtAGoFjA6a1TX+HUmCd18XH8c3te8iGa0Wc046qmrMeQSIqJaPNquSqHsMPbXpjvZ2Gd/jRI4apcTehl6O30w+1lz6rDQmUx2rmVOZjoW/f04nBdilb9jB3Z07JhO0gJjzDhy1HYA3XU/d1MfM/M+gDOMnpBSviilHC2lHF1QUOBcD4lS1OztszGrZBb+PPzPKMgJ/Tuj1TfycEhm2UK1zhG2zg263bn9z0XfvL54eOHDqHPXxaBnRKktLn+lhBAPCyHWCiGWCyE+EULkxaMfROQ8bQCamebC0n8cj/tOHxLfDiWZG4/rh3euGBe34+vjB+4gNY5OHNwJH10zAZ9ffwQy0lzWimObxAZaZTdl/YQTwGgKPFnfp0VGmnrsyGZsf33TkbjntEEBmUFmK5BdfXSfkG3qr6WVy5Gfm4V0K9XoLYh1AEk7XpAYJdm3AEA/IUQvIUQmgAsAfKbfQAjRT/fjZAAbYtg/opTU4GnAQwseQmGrQlxyyCUhty/APvRxlWIe6xvZsl52Q6XMCRk4SnelY+qYqdhetR1vrnozRr0jSl3xqnH0HYA7pJSNQogHAdwBJVWaiFKEEECeQ9kcFDv6AEhDiNH8oT3a2mpb39pAtTZPvw65eP+qcfh29U60ys5oKtJtEsAINnXLbCqckf9ddziWbN0HV4RTKQd2ao2BnVpjx/4an8fNWrW7pL3VzSON90QytS4STcWxGTlyinpvdT2AbwCkAXhVSrlKCPFPAAullJ8BuF4IcRyABgD7APwxfj0mSg0frP0Amyo24eljn0ZmWuj7n7GutQCAuR7/RQ8pGA9cWOTph2NCBI4AYGznsTiu8Di8tOIlTOkzBR1bBs++JSJzcQkcSSm/1f04F8A58egHETlPGYByEJisfDKOgtQ4CtjPQtxBHxw4fURXDOzU2lvc+aqj+qjHDyflyP4+/Tu2Qv+OzhWW9g8ImXXJv+bXsG5tsLykwtK+do5vV9PKdBE1Y1tmurUaTWSPlPJLAF/6PfYP3fehi68QkWV7a/fiuaXPYUKXCTi629GW9hnrWoMDsgVWsb6RbQs9A3BM2Qygei+Q0y7otreOvhW//O8XPLH4Cfz7yH/HqIdEqScRVlX7E4AP4t0JInKICPiGkojVGkcB+4VxLKMVwUIuGx/ksVgEPS44rDt6F7QMeNxqcWz/BKd3rhiLsgPmtResBtIinWIWr9/WaacNQvvcTBw3iJ8CE1HyembJM6hurMbfDvub5UUexrnWYJGnP9xgAN0ub52jbfOBAScF3bZbq2744+A/4qUVL+H8AedjRIcR0e8gUQqKWo0jIcT3QoiVBv+frtvmLgCNAN4J0g5X9CBKIgwXJTd9oKIxSI2jgP0s3CjbietYeR+N690Oxw7sEFZx7HBNP3uYNztKL6C/FjOOWmVnoHdBrvkBYzRVzdtOjH+B83OzcM9pg5HhUI0mIqJYW7t3LT5c/yEuHHgheuf1trZTVRn6ubZjnueQ6HYuRS2TvQFXBrD1d0vbXzH0CnRo0QHT50+HR1q/tyGiJlG7U5NSHielHGLw/6cAIIS4DMCpAC6WQYobcEUPouQUr1WaKDL6180d5YyjSNt+/6rxePWyw5oeiGOdHP/AmdWpasZtmT932YSe+OCqwOLpVj/h9ue9ZPx9JSKyTUqJ6fOnIy8rD1cPv9r6jltmAwDmMnAUllpkAV1GhCyQrcnJyMHNo2/GqvJV+LTo0+h2jihFxWtVtZMA/BXAFClldTz6QETRwYBR9Jw4ONzpPNZfFH3s5cIxhWEez6zx0JsYBUBC7Ravws4+ffDrglkMy0otIv018N/8nEO7YWzv/JDHtysRriERUbL5dsu3WLRrEa4feT3aZLWxvmPxbzgos7BC9ope51Jd4Thgx2KgodbS5pN7TcbwguF4cvGTqKqvinLniFJPvHLDnwHQCsB3QoilQogX4tQPInKYNgDlMNR5T184Cq/932GhNwyDUeDhlKGdI9rfn5VVz0I1Y3ScWE5VMxMQEDILHFnJODL5Pvg+xluO6Rm8aCgDvURE4alprMGjCx/FgLYDcHa/s+3tvGU2Fnn6ozEhys0mqcLxgLseKF1qaXMhBO4YcwfKa8vx4vIXo9s3ohQUl8CRlLKvlLK7lHKE+r+N3E4iSmQciEZPZroLbXNCL/EbD+FOlQpsJ4x91K/xXNHdv9sSEqcM7RSwXVqUfkGM4lHz75yENy8fY2l//t4SEdnz+qrXUXqwFFPHTEWay0aB64PlwO7VnKYWqe5jla8W6xwBwOD2g3FG3zPw1pq3sKVyS5Q6RpSaWI2SiKLCqUAC+Urmq2olsGOUOaN/ZHAX86kAVjKaosVoqtpTF4wMuV2otqzWTjJ6vEPrbGRnWBvMJPP7iogo1kqrSvHqildxYs8TMbrTaHs7b50DACyMHamW7YH8fpbrHGluHHUjstKy8PCCh6PUMaLUxMARETmKA9DE079jkFW7EkywwMqLfzgUvdq3tLVPrPgHeHKzjacfBOuqtk6EPnjmv73ZlDTHMr74G0xEFNLjix6HhMQth95if+fi34D0FlguA1foJJsKxymBIxurwLZv0R5/HvZn/FzyM37b/lsUO0eUWhg4IqKo4PAzOsKJDwRd7j2GrGUcGeynfjUrLK0FTeI6VU3XteLpk5GR5gpa6Ds3y7yuhW/Gkflzer0NAmp22Ak8jTcozk1E1Fws3rUYXxV/hf8b8n/oktvFfgPFs4Huh6GB9Y0iVzgeqN0P7Flna7eLD7kYha0K8dCCh9DgaYhO34hSDANHROQobQCaCFkgqSiZM0KsxHW0902wItiRtB8tRkGtYN09un9B4PaWVlwzfvz8w7pjxp/Hh9zftF2L263/18l4+4qxYR+HiCiZeaQHDy94GB1yOuBPQ/5kv4HqvcCulUDPI53vXHNUOE75aqPOEQBkpmXittG3YXPFZny0/qModIwo9TBwRESOSt6wBkWbjDAlKNTuiVQc20zH1tn44KpxePS84Zba8g8UBpuqNqZX8BXUgrEa6M1MdyHNJfDxtRPw8+0Twz4eEVEy+nrz11hZvhI3jLwBLdJb2G9g6+8AJNDjcMf71iy16w207ABsnWd714ndJ+KwTofhuaXP4UD9gSh0jii1MHBERFGRzJkxiaw5ZnKFOuVEuCZ2MqTG9s4PXrQ6yFS1RDGqsC165Ec2PY6IKJnUuevw5OInMbDdQJzW57TwGimeDaRlAV0PdbZzzZUQap0jexlHyq4Ct42+Dfvq9uGVFa9EoXNEqYWBIyJyVoIOdCk5RJI1FM9V1czqLzktWodhoJeIKLh31ryDHQd34LbRt8ElwhxCbfkN6D4GyMh2tnPNWeE4YP8WoHKH7V0H5Q/Cab1Pw1ur30JpVWkUOkeUOhg4IiJHacPPRM2UoPiJVljHG/SIZ5EjA+GudBYsiBO1Xyv+vhIRmdpXuw8vLX8JR3U7CmM7h1nnrWY/ULqc09Sc5q1zNDes3W8YdQOEEHhyyZMOdooo9TBwRESOcmpZcDIW7csbzawdO9lE+uBJqN1EAsSNnHhdtBpQ4ayq5hT++hIRBXph2QuoaazBrYfeGn4jW+cCkEBPBo4c1WkYkJETduCoU8tOuHTQpZi5aSZW7VnlcOeIUgcDR0REFKOpStEJ7XRvmwMA6JGfE5X2rXByqlrwlqLzOnmDbwmWtUVEFG/FFcWYsW4Gzu53Nnrn9Q6/oS2/AWmZQLfDnOscAWkZQLfRYdU50vxpyJ/QLrsdHln4SMQLeRClKgaOiIiSSHOsRRPqjE8Z2gnvXzUOF40pjEl/jDjxqhhl68Xq9W5+7yoiImseX/Q4MtMycc2IayJrqHg20HU0kBHGamwUXOF4YNdKoC681dFyM3Nx7fBrsXDXQvy07SeHO0eUGhg4IiJHuT3KJzVZ6fzzkkx6tldWyMpKD7LaV4TC/RBvRPc8AEDnPONiokIIjOudH9dpkk5kHDVNVWtqy7/ZaH8SyqlqRERNFuxcgB+3/Ygrhl6B9i3ah99QbSVQupTT1KKlcBwgPUDJgrCbOLv/2ejVphceX/Q4GjwNDnaOKDVwZEdEjmpwewAAGWn88xIN0RrYP33hSLx06Wh0ahO9lV4GdGoVchujsMh1x/TFNzcdhcFd2jjfKYc4+boEa8oTpbgRa5MREfnySA8eXfgoOuZ0xCWDLomssW3zlMAGC2NHR7fDAOEKu84RAKS70nHrobeiuLIYH67/0MHOEaUGjuyIyFFa4CiTGUdREa3xfZsWGTh+UMeotD28Wxus+9dJ6F2Qa3kf/Xm6XMJS0CmenAi8GE9V8xXN4uVERNTkq81fYVX5Ktw46ka0SI9welnxb4ArA+g+xpnOka+sVkDHIRHVOQKAo7odhTGdxuD5pc/jQH14096IUhVHdkTkKC0jghlHpBfNKXDJ4tubjwr6vPGqasJvG8e7FXPXH9MXL1wyKt7dICIyVdtYiycXP4lD2h2Cyb0nR95g8W9A11FAZsvI2yJjheOBkoWAO/xpZkII3Dr6Vuyv24+XV7zsYOeIkh9HdkQUFcw4io6kLI7djKZBjenVzvS5/h2tZU0Fe42jFTiK5St024kDcNKQzjE8IhGRPe+seQelB0tx2+jb4BIR3s/UVQE7lnCaWrQVjgMaqoGdyyNqZlD+IJzW5zS8vfpt7Kja4VDniJIfR3ZEFBUsjk3NzQ+3Ho3XLnNgmWVh+C0ATlUjIoq2vbV78fKKlzGx20SM6ezA1LJt8wDpZmHsaCscp3zdOi/ipv4y8i8QQuDJxU9G3BZRquDIjoiiglPVoiMZk3eSsMth6VOQi5ZZ6Y62GbiqmqPNN7Ub5Ln/XXc43vgT63IQUfPw/NLnUdNYg5sPvdmZBot/A0Qa0H2cM+2RsdZdgLweEdc5AoBOLTvh0kGX4svNX2LlnpUOdI4o+XFkR0RRkeZqLuGC2OJVTX3BgoMeByJHH1w1Dg+dM8z42AaPjeieh6P7F0R8XCKiRLe5YjP+u/6/OKf/Oeid19uZRrfMBrqMBLKsLxBBYSocr6ys5sC/lZcPvRztstvhkYWPeGsQEjVnDBwREVFU2cmS4r2Zb/AmGsWxx/bORx8bK9wRETUXjy16DNnp2bhm+DXONFhfDWxfzGlqsVI4Fji4G9i7KeKmWma0xHUjrsOiXYvw47YfHegcUXJj4IiIHHXmyK7x7kJKi8VUtQfPHoqPrhlve78Fdx2HJy8Y4UgfknFKXqT8g0RGnIqrNcfrS0QUzIKdCzBr2yxcMfQK5LfId6bRkvmApwHoeaQz7VFwheq9y9a5jjR3Vr+z0LtNbzy+6HE0eMJfrY0oFTBwRESOeuy84dj0wCnx7gZF4PzDCnFoD/PVwcwUtMpCVnpaFHqU/KzM3NRS4YMFkKKVLt8iIw2dWmfj/jOHRqV9IqJE5pEePLzgYXRq2QmXHHKJcw0X/wYIF9B9rHNtkrn2A4DsPKD4V0eaS3el49bRt2JL5RbMWDfDkTaJkhUDR0TkKCEEXKxvFEWJfW2HdG0d8Fhi9zg2Zk891vK2wa5Xuis6/2ynuQTm3jkJZzBjkIiaoS82fYE1e9fgxlE3Ijs927mGi2cDnYcD2YH/NlIUuFzAwFOBNV8A9QcdafLIrkdibOexeH7Z86ioq3CkTaJkxMAREVESSfQpRt3a5mDzv8PPOEvV5eY7t2lheVuz1/ie0wYZBubCkeBvIyKimKluqMaTi5/EkPwhOKWXgxnTdQeA7QuBHqxvFFMjLwHqDwCrP3WkOSEEbh99OyrrKvHi8hcdaZMoGTFwRERECUcwtBHg/w7vFbIO0ojueabP3X/mEMz4s/3aVUREqeyN1W9gd/Vu3H7Y7XAJB4dGqz8D3PXAIVOca5NCKxwHtOsDLHnbsSYHtBuAM/udiXfXvoutlVsda5comTBwRESURJIhnGKlyDOZiyRo9sGfx5k+d/HYHhjTy37tKiKiVLW7ejdeW/kaju9xPEZ1HOVs48vfB9r2ArqPcbZdCk4IJetoy2ygfKNjzV4/4npkuDLw+KLHHWuTKJkwcERERFEzpmc7/PP0IfHuRlKJJO5mNejE4B4REfD0kqfR6GnEzaNudrbhihJg86/AsPMTf455Khp+oVKUfOk7jjVZkFOAK4Zege+3fo+FOxc61i5RsmDgiIgoiSTbgH/G1eMxpGubeHej2UiytwcRUdysKV+DT4s+xcWHXIzurbs72/jyGQAkMPx8Z9sla1p3BvoeDyx9F/C4HWv20kGXolPLTnh44cPwSI9j7RIlAwaOiIiSCOMCFAzfH0REoUkp8cjCR9Amqw2uHHal040Dyz8Auo8F2vV2tm2ybuQlwIFSYOOPjjWZnZ6NG0fdiNXlqzFz00zH2iVKBgwcERERJZBYZA0xwEREzdmsbbMwf+d8XDviWrTOdGa1Sq/SZUDZWmWaGsVP/5OAnHxgyVuONntKr1MwJH8Inlj8BGoaaxxtmyiRMXBERJREtKBCq6z0+HaEoiaS4tjJNpWRiCjWGtwNeHTRo+jdpjfO7X+u8wdY9j6QlgkMPtP5tsm69Exg2AXA2i+Bg+WONesSLtx+2O3YXb0br6963bF2iRIdA0dERJQwpIx3D5Ibw0ZERMF9sO4DbKncgltH34p0l8MfwrgbgZUfAv1PBHK4imXcjbwE8DQAK2Y42uyojqNwfI/j8drK17C7erejbRMlKgaOiIiSiJaNkvLxlWYcAYloVTWL+zIxiYiao4q6Cjy/7HmM7zweR3Y90vkDbPwROFimZLpQ/HUcBHQZBSx+y/FPpm4edTMaPY14esnTjrZLlKgYOCIiSiKpPuBP+YCYBZG8xJyqRkRk7oVlL6CqoQq3HXZbdP5eLnsPaNEW6HeC821TeEZeAuxeBZQudbTZ7q274+JDLsanRZ9iTfkaR9smSkQMHBERpbCMNAYSiJoTIcRJQoh1QogiIcRUg+dvEUKsFkIsF0L8IIToEY9+EsVacUUx3l/7Ps7seyb6t+3v/AFqK4B1XwJDzlbq61BiGHI2kJ4NLHnb8aavHHYl8rLy8MjCRyA5155SHANHREQp6te/HoN5dx4X726EpTmHu2KRNRRJAW5KXEKINADPAjgZwCAAFwohBvlttgTAaCnlMAAfAngotr0kio/HFz2OzLRMXD/y+ugcYPVnQGMtMPzC6LRP4WmRBxwyBVjxX6DB2VXQWme2xrUjrsX8nfMxa9ssR9smSjQMHBERJSErn2x1b5eDdi35qWeyaJujvFb81JIiMAZAkZRyk5SyHsD7AE7XbyCl/ElKWa3+OBdAtxj3kSjmFuxcgB+3/Ygrhl6B9i3aR+cgy94H2vUBuh4anfYpfCMvUTLC1s50vOlz+p+D3m1649FFj6LB3eB4+0SJgoEjIqIkwhI2qeujaybgX2cMQXoa/2mmsHUFsE33c4n6mJnLAXxl9qQQ4iohxEIhxMKysjKHukgUWx7pwcMLHkanlp3wh0F/iM5B9m8FtvwGDL+A/1Anop5HAnmFwJK3HG863ZWOW0ffii2VWzBjvbOrtxElEt6dEhElERY/Tl0927fEJeOcKTczukfboM/zbURCiEsAjAbwsNk2UsoXpZSjpZSjCwoKYtc5Igd9vvFzrNm7BjeNugnZ6dnROchyNWAw7LzotE+RcbmAEZcAm34G9m1xvPkjux6J8Z3H47mlz6GirsLx9okSAQNHRERJiJOZyMwPtx6NN/40Jt7doPjYDqC77udu6mM+hBDHAbgLwBQpZV2M+kYUc9UN1Xhq8VMY2n4oTu51cnQOIqUyTa1wAtC2Z3SOQZEbodaeWvae400LIXDbYbehqqEKLyx7wfH2iRIBA0dEREmEiSIUSp+CXLTMSo93Nyg+FgDoJ4ToJYTIBHABgM/0GwghRgL4D5Sg0e449JEoZl5c/iJ21+zGXw/7K1wiSsOeHYuB8g3A8POj0z45I68Q6D0RWPIO4PE43nz/tv1xdr+z8d7a91C0r8jx9onijYEjIiIiohQgpWwEcD2AbwCsATBDSrlKCPFPIcQUdbOHAeQC+K8QYqkQ4jOT5oiS2uaKzXhj9RuY0mcKRnQYEb0DLfsASMsCBp0RvWOQM0ZeAlRsBYp/iUrzN4y8AbmZuXhg/gNc6IJSTlwDR0KIW4UQUggRpeUNiIhSi1abhvcjRGRESvmllLK/lLKPlPJ+9bF/SCk/U78/TkrZUUo5Qv1/SvAWiZKPlBLT509Hdlo2bj705ugdyN0ArPwQGHCysuw7JbaBpwLZbYAlb0el+bzsPNww8gYs2LkAXxd/HZVjEMVL3AJHQojuAE4AsDVefSAiSjYixSer8RM6IiKK1I9bf8ScHXNw3Yjr0L5FFD+fLvoeqC5XVlOjxJfx/+zdd5hTZfrG8e+TTKUOvSOIdEFQBBRRVBQLKjawrXVFd3+6u+raXQvqWlDX3XWbdW2rKOKIiCIWBAsKCIpUaQIDSK/Tk/f3x8nAgDPDDJMySe7PdeVKcs7JeZ9kBia585YM6DEc5o+HvC0RaeLcjufStWFXHpvxGLuKdkWkDZFYiGWPo78At6A5XkVEJOSkbs04oUtTbj2lS6xLSWhaVU1EElVecR6PzHiEjg06ckGXCAc6370OtRrBIYMj246ET+9LIFAAc8dG5PR+n587+9/J+rz1/Of7/0SkDZFYiElwZGZnATnOue8qcexIM5tpZjM3bNgQhepERGquRP/AXysthecvP5I2DWvFuhQREYlDz859lrW71nJH3ztI8UVwoYC8rbDofTj0PPCnRq4dCa8Wh0GzHhEbrgZwWJPDOPuQs3l53sss27YsYu2IRFPEgiMz+8jMfijjchZwB3B3Zc7jnHvaOdfHOdenSZMmkSpXREQk7O44rQuvXd0/1mX8QqIPeRSR5LRy+0pe+OEFTmt/Gn2a94lsY/OzvZ4rWk0tvph5vY7WzoF1cyPWzO8P/z2ZqZk89PVDGoYvCSFiwVFo8sVD970Ay4D2wHdmtgJoDXxrZs0jVYuISKIo+bjvNMo3Low8tgNHdWgU6zJERJLCIzMeIdWXyk19bop8Y9+NgcadoOXhkW9LwqvncPCnwexXI9ZEo8xGXNfrOqavnc7knyZHrB2RaIn6UDXn3FznXFPnXDvnXDtgNXC4c25dtGsREYk76igiIiLyC1NWTWHq6qn8ttdvaVqraWQb27ICVn4JPUck/hjyRFSrIXQ+Db5/HfK3R6yZ4Z2H07lBZ0bPHE1uUW7E2hGJhlhOji0iIiIxoM85IpJICgIFPPzNwxxc/2Au6npR5Bv8/g3vuufwyLclkTHg9948VZ89ErEmUnwp3Nn/TtbtWsezc5+NWDsi0RDz4CjU82hjrOsQEYkHmptGRERkb8//8Dw5O3O4o98dpPoiPFG1c95qau0GQlbbyLYlkdPqcDjiMpj+L1i/IGLN9G7amzMOPoP/zvsvP23/KWLtiERazIMjERERERGRA7F6x2qem/scQ9oNoV+LflFocCZsXuoNU5P4duI9kFEPJt7sBYIRcmOfG0n3p/PQN5ooW+KXgiMRkThSMsRI7zukOjRUTUQSxegZo/GZjz/2+WN0Gpz6KGTUh25nRac9iZxaDeGEP8GKafDDWxFrpnFmY37b67d8kfMFn676NGLtiESSgiMRkTiiz/vJqV5GSqxLEBGpcT7P+ZxPVn3CyJ4jaV47Cgs0r/gCfvwQjrnB66ki8e+Iy6HFYfDhXVCwI2LNXNDlAg7JOoRHZzxKfnF+xNoRiRQFRyIiIjXY+78fyMc3DYp1GSIiNUphoJCHvn6IdvXacVm3yyLfoHPw0T1QtwX0vSby7Ul0+Pxw2uOwYy189mjEmkn1pXJHvzvI2ZnDcz88F7F2RCJFwZGISBwxjTFKOl1b1KNJ3fSwnlOTrItIvHtp/kus3LGS2/veTqo/whNiAyx8D1bPgEG3QVqtyLcn0dPmSOh9CUz/J2xYFLFmjmx+JKe2P5Xn5z7Pqh2rItaOSCQoOBIRiUOa4kiqw+k3SETi2Lpd63j6+6cZ3HYwR7c6OvINBorh41HQqCP0uiTy7Un0Db4P0mrD+7dEdCLJP/b5Iym+FB79JnK9m0QiQcGRiEgcUT8RERFJZs457p9+P845bj7y5ug0+t1rsHERnHg3+DXnXEKq3dibKHvZFJj/TsSaaVqrKb857DdMWT2FD1d8GLF2RMJNwZGIiIiIiMSFCcsmMHX1VH5/+O9pWadl5BssyoMpD0GrPtD1jMi3J7HT50po3gMm3QmFuyLWzCXdLqFbo248+PWDbMnfErF2RMJJwZGISBzRFEcSTprrSETiyca8jTz8zcP0atKLC7tcGJ1Gv3kGtufA4Hv1RzjR+fxw2mOwfTVMfSxizaT4Urh/wP1sL9zOw988HLF2RMJJwZGISBzRB30JJ811JCLxwjnHA9MfIL84n1EDRuH3+SPfaN5WmPY4HDIY2g+MfHsSe237w2EXwpd/h41LItZMpwadGNlzJBOXT+TTlZ9GrB2RcFFwJCISj/R5X0REksikFZP4eOXH/F/v/6N9/fbRafSLv0L+Vjjxnui0JzXDSaMgNTPiE2X/+tBf06lBJ+6ffj/bCrZFrB2RcFBwJCIST9ThSMJIPdhEJB5szt/Mn7/+M4c2OpRLu10anUa3r4Xp/4Ie50OLntFpU2qGOk3h+Dtg6cewcELEmkn1p3L/gPvZnL+Z0TNGR6wdkXBQcCQiIpKkNFRNROLBQ18/xI6iHdw/4H5SfFFa1eyzRyBYDMffGZ32pGY58mpo2h0+uB0KcyPWTLdG3bjy0Ct5Z+k7TFs9LWLtiFSXgiMRkThSMi+nPvCLiEgy+Pinj/lgxQdc2/NaDmlwSHQa3bgEvn0J+lwBDaM0LE5qFn8KnDYatq2Cz/8S0aauPexaOtTvwH1f3ceOwh0RbUvkQCk4EhGJIxpYJOGkoWoiUpNtK9jG/dPvp2vDrlzZ48roNfzJKEjJgGNvjl6bUvO0GwA9hntzXUVwouw0fxr3D7ifDXkbeGLWExFrR6Q6FByJiIgkKfVcE5Ga7JFvHmFbwTZGDRhFqi81Oo3mzIL578DR13lz3UhyO/l+SKsFr18E+ZGbwLpHkx5c1u0yxi4ey/S10yPWjsiBUnAkIhJHzNRDREREEt/U1VN5d9m7XNXjKro07BKdRp2Dj+6FWo3gqOui06bUbHWbw/CXYfNSGHslBIoj1tRve/2WdvXace+X95JbFLl5lUQOhIIjERERERGpMXYU7uC+r+7jkKxDuKbnNdFreOknsHyqN0Qto1702pWarf1AOP1xWPIRTP5TxJrJSMlg1IBRrNm5hie/fTJi7YgcCAVHIiJxpKS/kdMII6kGzW0kIjXZYzMfY2PeRh4Y8ACp/igNUQsGvd5GWW2hTxTnU5L4cMTl0O83MP2fMOvFiDXTu2lvLu56Ma8tfI2Z62ZGrB2RqlJwJCISR0qPVLvqmPacd0Tr2BUjcUtzG4lITfXlmi8Z9+M4Lu9+Od0bd49ew/PGwbrv4fi7ICU9eu1K/Dj5AehwIrx3I6z4PGLNXN/7elrXac09X95DXnFexNoRqQoFRyIicepPQ7vx2PmHxboMERGRsNhVtIt7v7yXdvXa8dtev41ew9vXwAe3Q7Me0OP86LUr8cWfAue/AA0PhjG/gs3LI9JMrdRa3Hf0fazcsZKnZj8VkTZEqkrBkYhIHNEQIwkH/R6JSE30+MzHWbdrHfcPuJ90f5R6/RQXwBuXQlEunPss+PTxSCqQUR8ufB1w8NoFkL89Is30bdGX4Z2G8/L8l5m9fnZE2hCpCv3PKCIShzTQSKpDQ9VEpKb5YMUHvLn4TS7rfhm9mvaKYsO3weoZMOyf0DRKq7dJfGvUAYa/BJuWwFtXQTAQkWZu7HMjreq04papt7A1f2tE2hCpLAVHIiJxxNRRREREEsxP23/i3i/vpWeTnvzu8N9Fr+FvX4aZz8OAP0C3s6LXrsS/9sfCaaPhxw9h8t0RaaJ2am0eG/QYm/I2ccfndxB0wYi0I1IZCo5ERERERCQm8ovzuWnKTaT4Unjs2MdI9UVpFbWcWd4kxwcfDydG5oO/JLg+V0Lfa+Crp+DblyLSRPdG3bnlyFuYljONF354ISJtiFSGgiMREZEkpbmORCTWHpnxCIu2LOLPx/yZFnVaRKfRnRu8yY3rNIfzngefPzrtSuIZ8mfocAJMuBFWfBGRJkZ0HsEp7U7h77P/zqyfZ0WkDZH9UXAkIhJHNFRNwklzHYlILE1YNoGxi8dy1aFXcWzrY6PTaKAYxl4BuZvgglegVsPotCuJyZ8C570ADdrBmEsistKamXHPUffQum5rbvnsFjblbQp7GyL7o+BIRCQOOacP/CIiEr+WbV3GqK9GcXjTw7mu93XRa/ije2DFNDjjr9DisOi1K4krMwsuGgMuCC8Pgy0/hb2JOml1ePy4x9lWuI3bp91OIEITcouUR8GRiEgc0dAiCSf9PolILOQW5XLTZzeRmZLJo8c+SoovJToNzx3rzUfT9xo47ILotCnJoVEHuOQtyNsKL5wKG38MexOdG3bm9r6389Xar3hm7jNhP79IRRQciYjEEQ1Vk3DSUDURiYU/f/1nlm5dykMDH6JZ7WbRaXTdD/DOddD2KBjyYHTalIjJL6qBPW5a94HL34NAITx/Cqz9PuxNnNPxHIYePJR/zvknX6/9+oDPUyNfP6nRohTvi4hIOOnjvoiIxKO3f3ybd5a+w7WHXcvRLY+OTqN5W2DMxd6QovNfBH+UVm6TiMlI9dPutvdiXUaZ2tttvJL2Z+r8ewhXFN7Ct65TeBuwI6nV/huunPgHcpf/Dldcr8qnWPHw6eGtSRKeehyJiMQRdTiScNJQtcRjZqeY2SIzW2Jmt5Wx/1gz+9bMis3svFjUKMlr8ZbF/PnrP9OveT+u7XltdBoNBuCtq2FbDgx/CepGqYeTJK3lrgXDC+5ms6vLy2kPcbTvh/A24NLJX30x5isgo+XrgHoPSeQpOBIREUlSGqqWWMzMD/wDOBXoBlxoZt32OWwlcDnwv+hWJ8luV9EubppyE7VTa/PwsQ/j9/mj0/CUh2DJZDj1EWjTNzptStLLoQnDC+9hlWvKC6mjOdE3K6znDxY2I3/dMFJqLyOtycdhPbdIWRQciYjEEQtNcqRF1USkDH2BJc65Zc65QuB14KzSBzjnVjjnvgeCsShQ4t+BzI3inGPUV6NYuWMljx77KI0zG0egsl80Cp89ClNHQ+9LoM+VkW9TpJQNZDGi8E8scG34T+pfONP3ZVjPX7ztCAq39iGt0af4ay8O67lF9qU5jkRE4ogGFkk4aahawmkFrCp1fzXQ70BPZmYjgZEAbdu2rV5lkjAOZG6Z1KyvyWgxkYL1JzH8rxuAyM5N4yfA/SnPc1HKp7wVOIbbvjqZoq8mRrTNqtD8MsljG3W4uPBOnkt7jCdT/0Gt4nxeD5wQtvMXrDsTf8YqMlqOCc13VD9s5xYpTT2OREREkpSGqklFnHNPO+f6OOf6NGnSJNblSJzyZ64gvdm7FO/sROGm4yPeXi3yeSb1cS5K+ZSnis/ipqLfUKTvyiWGdpHJ5YW38FmwJw+nPstV/jAGpy6NvJxLMCsis/UrYIXhO7dIKQqORETiiKmDiIiULwdoU+p+69A2kZjwpf1MZpsXcUVZ5K8ZQaQ/ejRmG6+lPcBxvu+4s+hKHisegfrqSk2QTzoji27ivUBf/pT6Kn9IGUu41sh1hU3IXzMCX8ZqMlv9D02WLZGg4EhEJM50aV6Xv17QK9ZlSALQULWEMwPoaGbtzSwNuAAYH+OaJElZyjYy2z6PcynkrroSF6gd0fba21rGpd1NJ1vNyKIbeTUwOKLtiVRVESn8ruh63ig+jj+kjGNUyn/xhWm6ueKd3SlYdxYpdReS3uJtwhVKiZRQv00RkThiZnzwh2NjXYaI1EDOuWIzuw6YBPiB551z88xsFDDTOTfezI4E3gYaAGeY2X3Oue4xLFsSkS+XzDbPY758cn8aiStqGNHmDrfFPJv2GEF8XFB4F9+5QyLansiBCuDn1uKr2Uxdrk2ZQCPbxo1Fv6WAtGqfu2hrfyxlO+lNPsEV1aNw48lhqFjEo+BIREREJEE45yYCE/fZdnep2zPwhrCJRIYVkdnmJXzpG8lbeQXBglYRbe5k3wz+lvoUa11DLi+6lZ9c84i2J1JdDh8PF1/EBpfFn1JfoSE7GVl0IzuoVe1zF248CUsNhUfF9Sja2j8MFYtoqJqIiIiIiIRFkIyWr5NSawX5a4YTyI1sz59f+T/k36lPssAdxLmF9yk0krjyXOA0fl/4W/r4FjEm7X6asCUMZzUK1p5N8Y4upDd/h5S6P4ThnCIxDI7M7HozW2hm88zs0VjVISIiIiIi1eVIbzae1HrzyF83lOLth0WsJSPIrSmvcX/qf/k42JsLC+9kM/Ui1p5IpLwTPIYri27mIFvHuLR7aW9rw3BWP3k5FxHMa0NGy9fxZy4Pwzkl2cUkODKz44GzgMNC4+ofi0UdIiIiIiJSfWmNPiWt4XQKNx1L0ZZjItZOI7bxXOpj/CblXV4uHsy1RTeQT3rE2hOJtGnBnlxQ+CcyrYCxaffS05ZW/6QujdzVlxEsakBmmxfxpa+r/jklqcWqx9FvgIedcwUAzrn1MapDREQkaTmtuiIiYZBSfwbpTT+kaFtvCtafErF2Bvnm8EH6rQzwzePuosv4U/EVBPBHrD2RaJnrDua8wnvY5TJ4Le0BjvV9V/2TBmqTt/JKXDDVm6w+ZWv1zylJK1bBUSdgoJl9bWafhVb4EBERERGROOKvs5CMFm9TvLMj+WvOJRIfL9Ip5J6UF/lv2qNscvU5o/ABXgoMASzsbYnEygrXgnML72OFa85zqY8xzPd5tc/pihuQt+oKzFdAZtvnwZcbhkolGUUsODKzj8zshzIuZ+Gt5tYQ6A/cDLxhZmX+z29mI81sppnN3LBhQ6TKFRERSTqmD10iUg2+jJVktnqVYH4L8nIuIRILNneyVbyT9ieuSJnEC8VDOKvwfha7NmFvR6Qm2EAWIwr/xDfBLjyZ9k9+7X+v2ucMFrQkb/Wl+FI3kdnmJbCiMFQqySZiwZFzbrBz7tAyLu8Aq4FxzvMNEAQal3Oep51zfZxzfZo0aRKpckVERJKOhqqJyIHypa0ns81/ccX1yFt1OQTDPc+Q4zL/JN5Nu4tGto3LC2/hvuLLKCAtzO2I1Cw7qcUVRbcwIdCfu1Jf5e6Ul/ARrNY5A7kdyF8zAn/mT2S0eo2ioMIjqZpYDVXLBo4HMLNOQBqwMUa1iIiIiIhIJfkyVpJ50L8BH7krr8QF6ob1/I3YxvOpo7kv9UW+CHbn1IJHmBLsFdY2RGqyQlK5vug6ni0+lStTPuA/qU9Qi/xqnbN4R08Kfj6D1Lrz+d0nvyO3SMPWpPJiFRw9DxxsZj8ArwOXOef0taeIiEgUaaiaiFTV5zmfU+ugZyCYQe6Ka3FFjcJ6/n0nwL6y6GY2Uj+sbYjEA4ePB4p/xV1FV3CCbzZvpI2iKVuqdc6iLUeTv/YcvlzzJb/+8Ndsya/e+SR5xCQ4cs4VOucuCQ1dO9w590ks6hAREUlmGqomIlXx7tJ3uf7j6wkWNiZ3xW9wRWXONHFAapPHfSkvaAJskX28EjiJq4pupp2tIzv9T3S1n6p1vqKtfXli0BMs3rKYS9+/lDU714SpUklksepxJCIiIiIiceK/P/yXOz6/gyOaHUHuT9eEdXja8b7ZfJh+C7/yf8TzxadoAmyRfUwJ9uL8wnsAeDPtPgb5ZlfrfCe2PZH/nPQfNuVv4lcTf8XiLYvDUaYkMAVHIiIiSUpD1URkf4IuyGMzHuPxWY8zpN0Q/jn4nxDMCMu5G7ONv6X+nRfSRrPLZXBe4T2MKr5UE2CLlGGBO4hhBfez3DXnudTHuNQ/qVrnO6LZEbx4yosAXP7+5cz6eVY4ypQEpeBIRERERER+oShYxJ2f38mL81/kwi4X8uixj5LmD0eo4zjfP4WP0v/IEN8Mnig6j9MLH+Jb1ykM5xZJXOtpwPDCu/kkeDijUl+s9oprHRt05OXTXqZRZiNGfjiSj1d+HMZqJZEoOBIRERERkb3kFuVy/SfXM2HZBK7vfT23970dn1X/o0Nb+5lXUv/M6NSnWexac1rhQ/wtcA5FpIShapHEl0cG1xTdwHNhWnGtZZ2WvHTqS3Rp2IUbp9zIm4vfDGO1kigUHImIiIiIyG5b8rfw6w9/zVdrvuLeo+5lZM+RmFVvaKufANf43+XDtFvo6VvGnUVXMqLwTyx1rcJUtUjyCOLj/uJf8aeiy3evuNaMzQd8vgYZDXjm5Gc4uuXRjPpqFP/67l9o0XMpTcGRiIiIiIgAsGbnGi59/1IWb1nMk4Oe5NxO51b7nN1tOe+k/YnbU1/js+BhnFQwmlcDg3H6KCJSLS8HTuaqoj/SztYxKf1WLvVPwk/ggM5VK7UWfzvhb5zZ4Uz+OeefPPj1gwSCB3YuSTz631pERERERPhs1Wdc+N6FbMrfxDMnP8PxbY+v1vmy2MGolBcYn3YXTW0r1xT+gWuKbuRnGoapYhGZEuzNWYX380OwHaNSX+S9tDs4yjfvgM6V6kvlgQEPcMWhVzBm0Riu+egaft71c5grlnik4EhEREREJInlF+fz4PQHue6T62iS2YRXTnuF3k17H/D5fAS5xD+ZT9Nv4iL/x7wUOJnBBaOZFOwbxqpFpMRS14pLiu7gmsIbqE0+r6U9yFOpf6UVG6p8LjPjxiNu5L6j7+P7Dd9z7rvn8vFPmjQ72WkWOhERiYihPVvEugQREdmPRZsXccvUW1i2bRmXdruU3x/++2qtnHakLeS+1Bfp5vuJrwLduLf4Uha5tmGsWETKZkwKHsmUwsMY6Z/Ab1PGc2L6bP5VfCb/CQylgKr9uz6n4zn0btqb26bdxh+m/IFzO57LLUfeQq3UWhGqX2oyBUciIhJ2Kx4+PdYliIhIBYIuyCvzX+HJb58kKz2L/5z0H45uefQBn68Zm7kj9X+c5f+SHNeI3xb+jonBfkD1JtUWkaopII2/B87hrcCx3JH6P25MHcvwlCk8UHQJHwSPpCr/JtvXb88rp77CU3Oe4oUfXmDWz7N4+NiH6d6oe+SegNRIGqomIiIiIpJE1ueu59rJ1zJ65miOaXUMb5351gGHRukU8lv/O3ySfhOn+Gbw1+JzOLHgMSYG+6PQSCR21tCY64p+xwWFd7HDZfLvtCd5NfXPdLJVVTpPqj+VG464gWdPfpbc4lwumXgJz//wPEEXjFDlUhMpOBIRERERSRKfrPyEc8efy+z1s7n7qLv56/F/pUFGgwM4k+NE3ywmpd3KLaljmBrsyYmFo/lL8Xnkkx72ukXkwEwPdmNo4Z/5U9HldPet4MP0W+HZwfDVP2Db6kqfp2+Lvow7cxzHtzmev8z6C1d/eDXrdq2LYOVSkyg4EhERERFJcLlFuYz6ahS///T3tKjdgjFnjOH8TudjVvVeQb1sCa+m/pnn0h6niBQuKbyd3xTdwGrXNAKVi0h1BfDzcuBkji94nEeLhkNxPky6A/7SvUohUv30+jx+3OOMOnoUczfO5dzx5zL5p8lReAYSawqOREREREQSlHOOz3M+Z8SEEYxdPJYrDr2CV097lYPrH1z1k61fAK9fTHb63XT2reLeoks5tfAhPg/2CH/hIhJ2W6jHPwPD4NrP4fpv4YQ/VTlEMjPO7ng2b57xJm3rtuXGKTdy+7Tb1fsowWlybBERERGRBDRv0zz+MusvfL32a1rVacUzJz9Dvxb9qn6iLSvg04fg+zGQXpfHi87j+cCp7CIz7DWLSJQ06gDH/tG7bFoK896G+dleiDTpDmh9JHQZCp1OgSadYZ/eiQfVO4iXTnuJf3/3b1744QUm/zSZi7tezFU9rqJeWr3YPCeJGAVHIiIiIiIJZPWO1fxt9t94f/n7NEhvwG19b2N4p+Gk+lOrdqIdP8PU0TDrv+Dzw9HXwzE38PdRX0WkbhGJkfJCpI/u8S4N2nkBUqdT4KABkJIGQKovlet7X885Hc/hqdneymtv/fgWV/e4mgu7XEiaPy2mT0vCR8GRiIhIkrHQSkc+n1Y8EkkkW/K38PT3T/P6otdJsRSu7nE1Vxx6BXXT6lbtRHlb4Yu/wtf/huICOPxSOO4WqNcyInWLSA1SOkTathoWT4LFH8DMF7z/E9LqwiEneCFSx5OhdmNa1WnFQwMf4rLul/GXWX/hsZmP8b8F/+O63tdx+sGn4zPNkBPvFByJiIgkmU7N6jDy2IO5pN9BsS5FRMIgrziPV+a/wvM/PE9ucS5nH3I2vznsNzSr3axqJ9rxM3z7Inz1FORvg0PPg+Pv8D5Iikjyqd8ajrzKuxTuguVTYdH7Xpg0/x3AQkPaToNuZ9GlYRf+c9J/+HLNlzw560nu+PwOXpr/EjcccQNHtzw61s9GqkHBkYiISJIxM+44rWusyxCRaioOFjN+6Xj+MfsfrM9bz6A2g/jD4X+gQ1YVgp5gEFZMhZnPw8L3IFgMHYfAiX+C5pr0WkRC0mpD51O9i3Ow9juvJ9Ki9+Gje71L857Q7SyO7n42/Ye+zsTlE3lq9lNcM/kajmpxFDcccQNdG+n9RzxScCQiIiIiEkfW7VrH2z++zVs/vsXPuT/Ts0lPHj3uUY5odkTlT5K7Gea86g0/2bwUMhtAv2vhiCug8SGRK15E4p8ZtOzlXQbdBltXwvzxXi+kT+6HT+7H1+xQhnYbxskDHuf1TbN4eu7TDJ8wnCObH8n5nc7nxLYnag6kOKLgSERERESkhgsEA3yx5gveXPwmU1dPJeiCHN3yaO7sdyeD2gzCrBJzljkHq772ehfNy4ZAAbTpD8fdCt3OgtSMiD8PEUlAWW3h6Ou8y7bVsOBd7/+YTx8g7dMHuLRpN4Z1OZU3MlMYu2Yqt0y9hQbpDRh2yDDO7XQuB9XT0PmaTsGRiIiIiEgNtT53/e7eRWt3raVhRkOu6H4F53Y6lzZ121TuJFtXwaKJ3upo6+dDej1vwus+V0Cz7hGtX0SSTP3W0P833mX7Gi9Emv8O9aY+wa9xXNmgHV8d1Jc3U/J5af5LvDDvBfo178d5nc/jxDYnVn31R4kKBUciIiIiIjVI0AX5as1XvLn4TaasmkLABejXoh839bmJE9qcsP8PVoW7YMUXsPRjWPIxbPrR296yN5z5dzj0XG++EhFJSvlFATJS/ZFvqF5L6HeNd9mxDha+h2/xBwyY+y4DAgWsz6zP22268tamBdz82c00zGjIsEOGcV6n8yofjMdI1F7DGkLBkYiIiIhIjOUW5TJ97XSm5Uxj6uqprM9dT4P0Blza7VLO63Qebeu1Lf/BzsHPP3gh0dKPYeV0CBRCSga0O8brWdThRGjaJXpPSERqrIxUP+1uey8GLTcHLieTCzjG9wMnFM/m7EWz+bVtZVpGJs/V8/FC3vM8/8PzBHLbULyrC8U7OxPMbwn4YlBv+VY8fHqsS4gqBUciIiIiIlHmnGP59uV8vvpzpuVMY9bPsygKFlE7tTZHtTiKk9udXPbksc7BjrWwcTFs/BFyZsHST2Dnz97+pt2g70g45ERoe7TmLRKRGiePDCYH+zA52AcrDtLDlnNi8bfclvstjVJzGF+nNh/XKmJB41W4JpNJL04jc1drduzoydZdh0EwM9ZPIekoOBIRERGRpLHX8ILiAsjfFrpsh/yte+4XbPeO8aeDPxVS0ve5nerdTwld0upAel3vOjXTW3VoH3nFecxYN4Npq6cxLWcaOTtzADgk6xAu6XoJA1sPpFeTXt5QtKJ8LxjauBg2LgldL4ZNS6Bw556TZjaEDsd7PYo6nAD1WkT4FRQRCR+Hj+9dB74v7sBfOJ/mhZs4Pn8OZ9oKRqasYmPtDcyq5eOLOnkE6i+jvnubDvl+mu9qiH/nwWwtOJhcl0kuGeSSTq4LXZOOq2G9lOKZgiMRERERSTyBItjyE2xettclY+tPbNjwM3XJJcOKItO0M7aRwYK02sxNS2dRegpL0o3VaUGKfZAWhK55fgbn+umd62i5dAmpsxaSwr9Zb8WkUUwjtuMzt/ucq11jlgVbsNQNYKlr6V2CLVmfnwUzDWYCfBuR51Nasg3PEJHoWkcjXguc6N0pBvIdTTZtpZNvJY0yF1BQZwU5tbcxrfFGaLyRhoGv6F5QSLeCQroXetdNAwEMyHNp7CKDXJdOLhnkk0auSyePdPJII5908lzanvvOC5x2uEy2Uoetrs7u623UJkDyzGm0LwVHIiIiIhKfivJgywrvsnk5bF66JyTaugpcYM+xaXWh0cHQpAuT17VmO7XZ7jJD17XYTi12uFq77++gFg5Io5g0iki3YlJDt9PwbqebdzudfFzaRgoyN7IrYwtb03ewKT2XgM8LfjKCjoMKjFO2Q7dcH4fkp2IuhUKXQjF+VpJCEX6K8VMU9G6vpwFLgy1Z5lqyzDUnDw05E5FkZGygARuCDWDXYbArtDVlG41qz6a41hJmZG5kWtZWCHX0zChOpUl+LZoXpNOmIIV2BdAiECCDQjKtgCZsJTN0O5MCMimklhXst5LtrhZbXW22UBdefhYysryephn1vNUq0+uGLvX2ua7jzTnnSwF/mtdj1RdfIZSCIxERERGpmZyDXRv2BENbVsCW5Xvu71y39/Hp9b1wqNUR0ON8aNgBGh7sXWo33j187I7ZlZ8UNm93LUEsdSu+1F340jZhqZvxpW0KXTZiPq/3kgukEchvRXBLKwL5rQnkt2JHYSM24PM6BYmISLW54vps3DYItg3yNlghvoy1+DNWU5SRw66MHFbWXs+MUM/NYHFdgoWNcIWNCBY2JFjUiGBhI4JFDSFQC4B0iqhFPvUslyx2kmW7yGJH6HonWeZdGrDTG9K85Sco2OFdivPKKrN85vNCJF9qaOhz6p5Qafd1+j7b0vYMl07JgIz63iUzywuxSq53367vHR8GCo5EREREEoiZnQL8FfADzzrnHt5nfzrwEnAEsAkY4ZxbEdYinPNW9SrO9+YR2ve6KBfytux9yd0cur01dL3Z2xbY51vgeq2gQTs4ZLB33bC9d92gPdRqWObcQvsXwPy5WMoOLGUn5t+JpezEl7oZX9pmfKmbsbQtmO3pweScH1fYgGBRI4p2HUwgvzXB/FYECxtT01b/ERFJeC6NYN5BBPMOYvcgZCvEn7EGX8Zq/BlrsbRN+GsvJjVrx94PDWTsDpF2FTZkZ3F9corr4IrrEgy0xBXXgWAGu7s0ASuu3mfYbqAoFCJt3xMm7b5s9/YHCkPXRRAsuV/sXQeLSh1TuOd2cYF3KdhRal+h1+M2b+sv/0buK60O1GoEdZpC7aZQp4l3XbvJntt1QvcroOBIREREJEGYmR/4B3ASsBqYYWbjnXPzSx12FbDFOXeImV0APAKMqPDEW1bAaxd6b15L3sgGCqC4sNR1ye1QQFQV/jRvkufMBl7407A9ZPb27tdvsycYympb7iphzjkKAgXsLNrJjsId7CraxY7CHews2snOwp27r7cXbiej5dy9AiLz52Kl5hPafc7Qh4lAQQuCOw7FFTX0PlwUNsQV10cBkYhIDebSCOS1I5DXjr1mtLPC0JcCm7DQlwO+tE3409eSUnf+Xl8S7D5VMAUXqI0rrosrrsOd06bTuFZD6qbVpXZqbeqk1qFuWl3qpNahTlod6tRuu3tfii+CsUtRvrewQ97W0OIOJbdD9/O2eD13d673euyu/gZ2bQR++TevIgqORERERBJHX2CJc24ZgJm9DpwFlA6OzgLuDd0eCzxlZuacK/ddZEFxHku3rSCYkkrQl4pLTSWYUR/n9+4HfSnebX8KAX8qAb+3rdiX4m2zkmsfAV8KAb+f4pR0ilPSKfKnUWxGkSumKFBEUbCI4mAxRUHvdmFxDvnrllKwuoCCQAH5gXzyi/O92yXXgXzyivMoDhbv9wWqlVILf2YGrrgOwaJGuLx2uOI6uEAd77q4LsHQfYLplP6GWUREEoBLI1jQnGBB8zJ2BjH/Lu9Lhd1fMOzAV/rLhtRtTF/7JT/nbiozZPpFc8FUXDAVXCoEU3G7r1PA7dnnXfvB+UP7fN59/LjQdm9f6DbmHYMPnHmryJW6j8sEauNo493Hu/hw1HN5NLCdZLGLBuykITuBF8t9DgqORERERBJHK2BVqfurgX7lHeOcKzazbUAjYGN5J13iCzIsc+feGwOhS5g5Z7vfHO9587zvG+tUXDAdXJ1S99MgmIELZOCCGd7+UrddIAOC6cx9+Eza3Vb5OY5ERCSZ+HCBurhAXahgFNjH15zu/S2xIsyXD74CzJ+P+fIxfz748rHd2wrACr258KwYfIWYFYOvCPPtxFKLQvcLvSDKvD+w5ovAH9mQImB96FIZVsGXSzWOme0AFsW6jhhpTAVv6JJAMj//ZH7ukNzPP5mfOyT380/m536Qc67igfZSLjM7DzjFOffr0P1fAf2cc9eVOuaH0DGrQ/eXho7ZuM+5RgIjQ3c7kzzvwZL5318JvQZ6DZL9+YNeA9BrkGzPv9z3YPHW42iRc65PrIuIBTObmazPHZL7+Sfzc4fkfv7J/NwhuZ9/Mj93qbYcoE2p+61D28o6ZrWZpQD18SbJ3otz7mng6QjVWWPp359eA9BrkOzPH/QagF6DZH/+pWlGPxEREZHEMQPoaGbtzSwNuAAYv88x44HLQrfPAz6paH4jERERSW7x1uNIRERERMoRmrPoOmAS4Aeed87NM7NRwEzn3HjgOeBlM1sCbMYLl0RERETKFG/BUdJ1ly4lmZ87JPfzT+bnDsn9/JP5uUNyP/9kfu5STc65icDEfbbdXep2PnB+tOuKI/r3p9cA9Bok+/MHvQag1yDZn/9ucTU5toiIiIiIiIiIRI/mOBIRERERERERkTLFRXBkZqeY2SIzW2Jmt8W6nkgwszZm9qmZzTezeWb2+9D2e80sx8zmhC6nlXrM7aHXZJGZDYld9dVnZivMbG7oOc4MbWtoZpPN7MfQdYPQdjOzv4We+/dmdnhsq68eM+tc6uc7x8y2m9kfEvVnb2bPm9n60HLQJduq/LM2s8tCx/9oZpeV1VZNVM7zH21mC0PP8W0zywptb2dmeaV+B/5d6jFHhP7NLAm9RhaDp1Ml5Tz3Kv+ex+PfhHKe+5hSz3uFmc0JbU+on7tIPDKz+0P/J88xsw/NrGWsa4q28v42JQszOz/0njxoZkm1qlI8/p0Np7L+ZicTK+dzaTIxswwz+8bMvgu9BvfFuqaYc87V6AvexI5LgYOBNOA7oFus64rA82wBHB66XRdYDHQD7gX+WMbx3UKvRTrQPvQa+WP9PKrx/FcAjffZ9ihwW+j2bcAjodunAe8DBvQHvo51/WF8HfzAOuCgRP3ZA8cChwM/HOjPGmgILAtdNwjdbhDr51aN538ykBK6/Uip59+u9HH7nOeb0Gtiodfo1Fg/twN87lX6PY/XvwllPfd99j8O3J2IP3dddInHC1Cv1O3fAf+OdU0xeA3K/NuULBegK9AZmAL0iXU9UXzecfl3NsyvQYV/sxP9QjmfS2NdV5RfAwPqhG6nAl8D/WNdVywv8dDjqC+wxDm3zDlXCLwOnBXjmsLOObfWOfdt6PYOYAHQqoKHnAW87pwrcM4tB5bgvVaJ5CzgxdDtF4Fhpba/5DzTgSwzaxGD+iLhRGCpc+6nCo6J65+9c24q3io+pVX1Zz0EmOyc2+yc2wJMBk6JePFhUNbzd8596JwrDt2dDrSu6Byh16Cec2668/6ivcSe16zGKudnX57yfs/j8m9CRc891GtoOPBaReeI15+7SDxyzm0vdbc2kHSTglb1b1Oicc4tcM4tinUdMRCXf2fDqYrvVxLOAXwuTTihzx47Q3dTQ5ek+ztQWjwER62AVaXurybBf3HNrB3QGy/ZBLgu1E34+ZIhPCTe6+KAD81slpmNDG1r5pxbG7q9DmgWup1oz720C9j7w2My/Oyh6j/rRHwNSlyJ15OkRHszm21mn5nZwNC2VnjPuUS8P/+q/J4n4s9+IPCzc+7HUtuS4ecuUqOZ2YNmtgq4GLh7f8cnuH3/NkniSsS/s3KAyvhcmjTMzB+aRmA93hfWSfcalBYPwVFSMbM6wFvAH0Lfdv0L6AD0AtbiDWdIRMc45w4HTgX+z8yOLb0z9O16Qqe8ZpYGnAm8GdqULD/7vSTDz7o8ZnYnUAy8Gtq0FmjrnOsN3Aj8z8zqxaq+CEnK3/N9XMjegXEy/NxFYs7MPjKzH8q4nAXgnLvTOdcG7//k62JbbWTs7zUIHbPv36aEUZnnL5KsyvhcmlSccwHnXC+83pZ9zezQGJcUUymxLqAScoA2pe63Dm1LOGaWiveP81Xn3DgA59zPpfY/A0wI3U2o18U5lxO6Xm9mb+N1k/3ZzFo459aGhmisDx2eUM+9lFOBb0t+5snysw+p6s86Bxi0z/YpUagzYszscmAocGIoPMM5VwAUhG7PMrOlQCe85196yEDc/g4c4O95wvz+m1kKcA5wRMm2ZPi5i9QEzrnBlTz0VWAicE8Ey4mJ/b0GZf1tSiRV+B1IJon4PlOqqKzPpcnKObfVzD7FmxYjKSdMh/jocTQD6Ghm7UM9Mi4Axse4prALzXHxHLDAOfdEqe2l5+45mz2/rOOBC8ws3czaAx3xJk2NO2ZW28zqltzGm4zxB7znWLJa1mXAO6Hb44FLzdMf2FZqmFM826vXQTL87Eup6s96EnCymTUIDW06ObQtLpnZKcAtwJnOudxS25uYmT90+2C8n/Wy0Guw3cz6h/7vuJQ9r1lcOYDf80T7mzAYWOic2z0ELRl+7iI1nZl1LHX3LGBhrGqJlfL+NknCS7S/s1JF5X0uTSah92JZoduZwEkk4d+B0mp8jyPnXLGZXYf3odAPPO+cmxfjsiJhAPArYG5oLCXAHcCFZtYLb+jOCuAaAOfcPDN7A5iP1334/5xzgSjXHC7NgLe9/6NIAf7nnPvAzGYAb5jZVcBPeJPHgvet32l4k+XmAldEv+TwCgVmJxH6+YY8mog/ezN7Da+3UGMzW433De7DVOFn7ZzbbGb34725ARjlnIuLSQzLef63460eNjn072C6c+5avFU9RplZERAEri31PH8L/BfIxJt3osbPPVHOcx9U1d/zePybUNZzd849xy/nNYME+7mLxKmHzawz3r/Bn4BrY1xPLDxF2X+bkoKZnQ38HWgCvGdmc5xzQ2JcVsQl0WevclXwNztZlPm51Dk3MXYlRV0L4MXQF3k+4A3n3IT9PCahWQL2OhURERERERERkTCIh6FqIiIiIiIiIiISAwqORERERERERESkTAqORERERERERESkTAqORERERERERESkTAqORERERERERESkTAqORERERERERESkTAqORERERERERESkTAqORERERERERESkTAqORERERERERESkTAqORERERERERESkTAqORERERERERESkTAqORERERERERESkTAqORERERERERESkTAqORERERERERESkTAqORERERERERESkTAqORERERERERESkTAqORERERERERESkTAqORERERERERESkTAqORERERERERESkTAqORERERERERESkTAqORERERERERESkTAqORERERERERESkTAqORERERERERESkTAqORERERERERESkTAqORERERERERESkTAqORERERERERESkTAqORERERERERESkTAqORERERERERESkTAqORERERERERESkTAqORERERERERESkTAqORERERERERESkTAqORERERERERESkTAqORERERERERESkTAqORERERERERESkTAqORERERERERESkTAqORERERERERESkTAqORERERERERESkTAqOREREREREkpSZXW5mn8e6DhGpuRQciUjcMbMpZvbrWNchIiIiEi5mdpGZzTSznWa21szeN7NjYl2XiIiCIxH5BTNbYWbrzax2qW2/NrMpMSyr0sysm5mNN7NtZrbDzD4xs/6VfOzlZjbXzHLNbJ2Z/dPM6ke6ZhEREUleZnYj8CTwZ6AZ0Bb4J3BWFc+TUplt0RCrdkUk/BQciUh5/MDvq3sS80Tt/xoz6wB8AcwF2gMtgWxgspn13c9jbwIeAW4G6gP9gXbAh2aWGrmqRUREJFmFvqAaBfyfc26cc26Xc67IOfeuc+5mM0s3syfNbE3o8qSZpYceO8jMVpvZrWa2DnjBzO41s7Fm9oqZbQcuN7P6ZvZcqCdTjpk9YGb+cuo52sxmhL6Am2FmR5fa197Mpoa+mPvIzP5hZq+E9rUzM2dmV5nZSuCT0PY3Q1/GbQs9tnup8/039CXd+6GeVl+YWfPQc9xiZgvNrHfEXnwRqRQFRyJSntHAH80sq6yd+3lTMcXMHjSzL4Bc4ODQG4nfmtmPoTcb95tZBzP70sy2m9kbZpYWenwDM5tgZhtCbxommFnrStZ9L/CVc+5O59xm59wO59zfgFfwQqEymVk94D7geufcB6E3bCuA4cDBwEWVbF9ERESkKo4CMoC3y9l/J96XWb2Aw4C+wF2l9jcHGgIHASND284CxgJZwKvAf4Fi4BCgN3Ay8Ith/2bWEHgP+BvQCHgCeM/MGoUO+R/wTWjfvcCvyqj3OKArMCR0/32gI9AU+DZUT2nDQ8+nMVAAfBU6rnHoOTxRRhsiEkUKjkSkPDOBKcAf991RiTcV4L2RGAnUBX4KbRsCHIH35ucW4GngEqANcChwYeg4H/AC3hugtkAe8FQl6z4JeLOM7W8AA80so5zHHY33pm1c6Y3OuZ3ARLw3WCIiIiLh1gjY6JwrLmf/xcAo59x659wGvC+6Sgc2QeAe51yBcy4vtO0r51y2cy4I1ANOA/4Q6s20HvgLcEEZbZ0O/Oice9k5V+ycew1YCJxhZm2BI4G7nXOFzrnPgfFlnOPeUDt5AM6550Nf5BXghU2H7TMNwNvOuVnOuXy88CzfOfeScy4AjMELukQkhhQciUhF7gauN7Mm+2wv901FqWP+65ybF9pfFNr2qHNuu3NuHvAD8KFzbplzbhvet1G9AZxzm5xzbznncp1zO4AH8b69qozGwNoytq/FG37XsILHlfembS2w72sgIiIiEg6bgMYVzAnUkj1fwhG63bLU/Q2h0KW0VaVuHwSkAmvNbKuZbQX+g9cDaH9tlbTXKrRvs3Mut5x2frHNzPxm9rCZLQ0Nm1sR2tW41PE/l7qdV8b9OmW0ISJRpOBIRMrlnPsBmADcts+uit5UlCjrjUSl3hiYWS0z+4+Z/RR6kzEVyCpvLP4+NgItytjeAnDAJjMbGBpHv9PM5pV6XHlv2lqE9ouIiIiE21d4Q7SGlbN/DV74U6JtaFsJV8ZjSm9bFTp/Y+dcVuhSzznXvYzH7dtWSXs5eF+kNTSzWqX2tdlP2xfhDZsbjDd/ZLvQdivjcSJSQyk4EpH9uQe4mr1DoYreVJQo601MZd0EdAb6OefqAceGtlfmTcZHwPllbB8OTA91457mnKsTupS8aSp503ZO6QeZWR3gVLxheyIiIiJhFep5fTfwDzMbFvoCLdXMTjWzR4HXgLvMrImZNQ4d+0oVzr8W+BB43MzqmZkvNM9kWb25JwKdzOwiM0sxsxFAN2CCc+4nvKkM7jWzNDM7ir17m5elLt77q01ALbxV40Qkzig4EpEKOeeW4I0v/12pzeW+qQhTs3XxeiBtDc2ndE8VHnsfcHRocu6GZlbXzK4HrsB7o1Wm0Ju2+4C/m9kpoTds7fDmRtrILydyFBEREQkL59zjwI14k0RvwOsldB3eyrAP4AU23+OtGvttaFtVXAqkAfOBLXiTTv+ih7ZzbhMwFO9LvE14c1IOdc6V9Ly+GG8y702hGsbgBUPleQmvV3pOqO3pVaxbRGoAc646nQJEJBGZ2Qrg1865j0L32wA/4vXYGRTadgzwV7zVOZYAvw9NkoiZTQFecc49W+qcDugYCqIws8+BZ51z/w3dfwBo7pz7tZm1xFu1ow9e76bHgX8Dqc654rLOv0/9hwIP4/VUqg3sAC50zr1fied+FXBD6HmlA58BFznn1lT4QBEREZEkY2ZjgIXOuap8yScicUbBkYgkNDNrjfft1j3Oueeq+NgrgFHAAOfcykjUJyIiIhIvzOxIYDOwHG/F2WzgKOfc7FjWJSKRpaFqIpLQnHOr8eYoahGar6gqj30BuAM4OhK1iYgcKDN73szWm9kP5ew3M/ubmS0xs+/N7PBS+y4zsx9Dl8uiV7WIJIDmePM+7gT+BvxGoZFI4lOPIxEREZE4Y2bH4n1we8k5d2gZ+08DrgdOA/oBf3XO9QvNGzcTbyiwA2YBRzjntkSteBEREYkr6nEkIiIiEmecc1PxhouU5yy8UMk556YDWWbWAhgCTHbObQ6FRZOBUyJfsYiIiMQrBUciIiIiiacV3qpMJVaHtpW3XURERKRMKbEuoCoaN27s2rVrF+syREREJEJmzZq10TnXJNZ1CJjZSGAkQO3atY/o0qVL2M69fkcBP2/P/8X2ZvUyaFo3PWztiIiISOVU9B4sroKjdu3aMXPmzFiXISIiIhFiZj/FuoYEkQO0KXW/dWhbDjBon+1TyjqBc+5p4GmAPn36uHC+B/t4wc9c/9pscgsDu7fVSvPz9wt7c2LXZmFrR0RERCqnovdgMR2qZmZZZjbWzBaa2QIzOyqW9YiIiIgkiPHApaHV1foD25xza4FJwMlm1sDMGuAtpz0p2sUN6tyUXm2y8Jl3v1aan15tshjUuWm0SxEREZH9iHWPo78CHzjnzjOzNKBWjOsRERERqfHM7DW8nkONzWw1cA+QCuCc+zcwEW9FtSVALnBFaN9mM7sfmBE61SjnXEWTbEeE32e8fFU/Tv3rVHILAtx3VncGdW6KvyRJEhERkRojZsGRmdUHjgUuB3DOFQKFsapHREREJF445y7cz34H/F85+54Hno9EXVXh9xkNaqXRoBYaniYiIlKDxXKoWntgA/CCmc02s2fNrPa+B5nZSDObaWYzN2zYEP0qRURERERERESSVCyDoxTgcOBfzrnewC7gtn0Pcs497Zzr45zr06SJFlkREREREREREYmWWAZHq4HVzrmvQ/fH4gVJIiIiIiIiIiJSA8QsOHLOrQNWmVnn0KYTgfmxqkdERERERERERPYW61XVrgdeDa2otozQih8iIiIiIiIiIhJ7MQ2OnHNzgD6xrEFERERERERERMoWyzmORERERERERESkBlNwJCIiIiIiIiIiZYr1HEciIiKSwLJn5zB60iLWbM2jZVYmNw/pzLDerWJdloiIiIhUkoIjERERiYjs2TncPm4ueUUBAHK25nH7uLkACo9ERERE4oSGqomIiEhEjJ60aHdoVCKvKMDoSYtiVJGIiIiIVJWCIxEREYmINVvzqrRdRERERGoeDVUTERGR/TqQuYpaZmWSU0ZI1DIrM1JlioiIiEiYqceRiIiIVKhkrqKcrXk49sxVlD07p8LH3TykM5mp/r22Zab6uXlI5whWKyIiIiLhpOBIREREKnSgcxUN692Kh87pQausTAxolZXJQ+f00MTYIiIiInFEQ9VERESkQtWZq2hY71YKikRERETimIIjERGRJFDRHEX7m79IcxWJiIiIJC8FRyIiIgmuZI6ikuFmJXMUlShvX0l4dPOQznsdA5qrSERERCRZKDgSERFJcPubo6i8fSXBUcl1VVdVExEREZH4p+BIREQkwR3IHEX77tNcRSIiIiLJSauqiYiIJLjy5iJqmZVZ4T4REREREQVHIiIiCe7mIZ3JTPXvta1kjqKK9omIiIiIaKiaiIhIgilrlbSHzulR4RxFmr9IRERERMqi4EhERCSBlLeC2kPn9OCL204o8zGav0hEREREyqOhaiIiIglkfyuoiYiIiIhUhYIjERGRBHIgK6iJiIiIiJRHwZGIiEgC0SppIiIiIhJOCo5EREQSiFZJExEREZFw0uTYIiIiCaRkkmutkiYiIiIi4aDgSEREJMFolTQRERERCRcFRyIiInEse3aOeheJiIiISMQoOBIREYlT2bNzuH3cXPKKAgDkbM3j9nFzARQeiYiIiEhYKDgSERGJI6V7GPnMCDi31/68ogCjJy1ScCQiIiIiYaHgSEREJE7s28No39CoxJqtedEsS0REREQSmC/WBYiIiEjljJ60aHdoVJGWWZlRqEZEREREkoGCIxERkThRmZ5Emal+bh7SOQrVSCyZ2SlmtsjMlpjZbWXs/4uZzQldFpvZ1lL7AqX2jY9q4SIiIhJ3NFRNREQkTrTMyiSnjPDIb0bQOa2qliTMzA/8AzgJWA3MMLPxzrn5Jcc4524odfz1QO9Sp8hzzvWKUrkiIiIS5xQciYiIxImbh3Tea44j8HoYPXROD4VFyaUvsMQ5twzAzF4HzgLml3P8hcA9UapNREREEoyCIxERkRqo9Opp9TNTMYOtuUXUz0wlI9XH1twi9TBKXq2AVaXurwb6lXWgmR0EtAc+KbU5w8xmAsXAw8657HIeOxIYCdC2bdvqVy0iIiJxScGRiIhIDbPv6mlb84p279uaV0Rmqp+/jOilwEgq4wJgrHOu9KzqBznncszsYOATM5vrnFu67wOdc08DTwP06dOn7CX8REREJOFpcmwREZEaZn+rp+UVBRg9aVEUK5IaJgdoU+p+69C2slwAvFZ6g3MuJ3S9DJjC3vMfiYiIiOxFwZGIiEgNU5nV0ypzjCSsGUBHM2tvZml44dAvVkczsy5AA+CrUtsamFl66HZjYADlz40kIiIiouBIRESkpmmZlRmWYyQxOeeKgeuAScAC4A3n3DwzG2VmZ5Y69ALgdedc6WFmXYGZZvYd8CneHEcKjkRERKRcmuNIRESkhilr9bTSMlP93Dykc5SrkprEOTcRmLjPtrv3uX9vGY/7EugR0eJEREQkoSg4EhERqWFKJr0ua1U1raQmIiIiItGk4EhERKQGyZ6dszswapmVqdXTRERERCSmFByJiIjUENmzc/YaopazNY/bx80FUHgkIiIiIjER88mxzcxvZrPNbEKsaxEREYml0ZMW/WJeo7yiAKMnLYpRRSIiIiKS7GIeHAG/x1sRREREJKmt2ZpXpe0iIiIiIpEW0+DIzFoDpwPPxrIOERGRmqBlVmaVtouIiIiIRFqsexw9CdwCBGNch4iISMzdPKQzman+vbZlpvq5eUjnGFUkIiIiIskuZsGRmQ0F1jvnZu3nuJFmNtPMZm7YsCFK1YmIiETfsN6teOicHrTKysSAVlmZPHROD02MLSIiIiIxE8tV1QYAZ5rZaUAGUM/MXnHOXVL6IOfc08DTAH369HHRL1NERCR6hvVupaBIRERERGqMmAVHzrnbgdsBzGwQ8Md9QyMREZFElj07h9GTFpGzNQ+/GQHnaJWVyc1DOis8EhEREZEaIZY9jkRERJJW9uwcbh83l7yiAAAB53Wqzdmax+3j5gIoPBIRERGRmIv15NgAOOemOOeGxroOERGRaBk9adHu0GhfeUUBRk9aFOWKRERERER+ST2OREREoqT00LT9WVOJY0REREREIk3BkYiISBTsOzRtf1pmZUa4IhERERGR/VNwJCIiEmHZs3O46Y3vds9jtD+ZqX5uHtI5wlWJiIiIiOyfgiMREZEIyZ6dw73j57E1r6jSj9GqaiIiIiJSkyg4EhERiYCqDk1rlZXJF7edEOGqRERERESqRsGRiIhImGlomoiIiIgkCgVHIiIiYVTS06iyoZGGpomIiIhITabgSEREJIxGT1q03+Fpmal+Hjqnh8IiEREREanxFByJiIiEQfbsHEZPWkTO1rwKj2tQK5V7zuiu0EhERERE4oKCIxERkWq6K3sur05fSUWD0/xmPD78MAVGIiIiIhJXfLEuQEREJJ5lz87Zb2hkoNCoknM+iYiIiEjNouBIRESkGu57d16FoRGAg+QMjZyDb76Bm26Cgw6CFStiXZGIiIiIVJGGqomIiByg7Nk5bMkt2u9xrbIyo1BNDeEczJkDY8bAG2/A8uWQmgpDhsCuXbGuTkRERESqSMGRiIjIARo9adF+j8lM9XPzkM5RqCbG5s2D11/3wqLFi8Hvh8GD4U9/gmHDoEGDWFcoIiIiIgdAwZGIiMgBWrOfFdRaZWVy85DOiTtMbfFir2fRmDFecOTzwaBB3tC0c86Bxo1jXaGIiIiIVJOCIxERkQOQPTsHnxmBMiZ9zspMZc49J8egqihYvnxPWDRnjrdt4EB46ik491xo3jym5YmIiIhIeCk4EhERqYLs2TncPu578oqCZe7PTPVz75ndo1xVhK1a5Q1BGzMGZszwtvXrB088AeefD61bx7Y+EREREYkYBUciIiKVdFf2XF6ZvrLc/X4zHjqnR2IMTVu7Ft580wuLvvzS23b44fDIIzB8OLRrF9PyRERERCQ6FByJiIhUwv5CI4Cgc/EdGq1fD2+95YVFU6d6K6T16AEPPAAjRsAhh8S6QhERERGJMgVHIiIi+5E9O4dX9xMaAbTMyoxCNWG2eTO8/bYXFn3yCQQC0KUL3H23FxZ17RrrCkVEREQkhhQciYiI7Md9787jl1Ng782Am4d0jkY51bdtG7zzjhcWffghFBdDhw5w661eWNSjB5jFukoRERERqQEUHImIiFQge3YOW3KL9nvcxf3b1uxhajt3wrvvemHR++9DYSG0bQs33OCFRYcfrrBIRERERH5BwZGIiEgZsmfncO/4eWzNqzg0qp3m58Gza+iE2Hl58N57Xlj03nve/ZYt4Te/gQsu8FZGU1gUl8zsFOCvgB941jn38D77LwdGAzmhTU85554N7bsMuCu0/QHn3ItRKVpERETikoIjERGRUiozCXaJS/q35YFhPSJcURUVFMCkSfD66zB+POzaBU2bwhVXeD2LjjkGfL5YVynVYGZ+4B/AScBqYIaZjXfOzd/n0DHOuev2eWxD4B6gD+CAWaHHbolC6SIiIhKHFByJiIjg9TC6+c05FAUrd3xWZmrNCY2KiuCjj7yeRdnZ3hxGDRvCRRd5YdFxx0GK/uQnkL7AEufcMgAzex04C9g3OCrLEGCyc25z6LGTgVOA1yJUq4iIiMQ5vYsUEZGk54VG31U6NMpM9XPvmd0jW9T+FBfDlCleWDRunLc6Wv36cPbZXlh04omQmhrbGiVSWgGrSt1fDfQr47hzzexYYDFwg3NuVTmPLXOcpZmNBEYCtG3bNgxli4iISDxScCQiIklv9KRFFAX3t26ax2/GQ+fEaE6jQAA+/9wLi8aOhQ0boE4dOPNMb86ik0+G9PTo1yU10bvAa865AjO7BngROKEqJ3DOPQ08DdCnT5/K/QMRERGRhKPgSEREkt6arXmVOi7Vb4w+77DohkbBIEyf7oVFb74Ja9dCZiYMHer1LDrtNO++JJMcoE2p+63ZMwk2AM65TaXuPgs8Wuqxg/Z57JSwVygiIiIJQ8GRiIgkvZZZmeTsJzyK6uppzsHMmV5Y9MYbsGqV15Po1FO9sGjoUK+nkSSrGUBHM2uPFwRdAFxU+gAza+GcWxu6eyawIHR7EvBnM2sQun8ycHvkSxYREZF4peBIRESS3vFdmpS7klp6io9Hzu0Z+cDIOfj+ey8sGjMGli3z5ig6+WR48EE46yyoVy+yNUhccM4Vm9l1eCGQH3jeOTfPzEYBM51z44HfmdmZQDGwGbg89NjNZnY/XvgEMKpkomwRERGRsig4EhGRpJY9O4e3ZuX8YnvUehjNn78nLFq0CPx+b2LrO+/0Jrpu0GD/55Ck45ybCEzcZ9vdpW7fTjk9iZxzzwPPR7RAERERSRgKjkREJKnd9+488ooCv9ieVSstcqHRjz/uCYt++AHMYNAguOEGOOccaNIkMu2KiIiIiFSRgiMREUlK2bNzuH3c9+QVBcvcX9kJsyttxYo9YdHs2d62AQPgb3+D886DFi3C256IiIiISBgoOBIRkaRzV/bccuc0KtEyKwwrla1e7U1uPWYMfPONt61vX3j8cTj/fGjTpuLHi4iIiIjEmIIjERFJGpUJjErcPKTzgTWybh2MHeuFRZ9/7m3r3RsefhiGD4f27Q/svCIiIiIiMaDgSEREEl727BxufnMO5YxK+4WszNSqzW+0cSO89ZYXFn32GQSDcOihcP/9XljUqdOBFS4iIiIiEmMKjkREJGFVpYdRCQPuPbP7/g/csgXeftsLiz7+GAIB6NwZ7roLRoyAbt0OrGgRERERkRpEwZGIiCScqvYwKu3i/m3L7220fTu8844XFn34IRQVeUPPbr7ZC4sOO8xbIU1EREREJEEoOBIRkYSSPTuHG9+YQ9BV/bGX9G/LA8N67L1x1y54910vLHr/fSgo8Ca1/t3vvLCoTx+FRSIiIiKSsBQciYhIQrnz7blVDo1qp/l58Owee3oa5eV5IdGYMV5olJcHLVrANdd4YVH//uDzhb94EREREZEaRsGRiIgkjLuy57KrMFDp49NTfDxybk8vMCoo2NOz6J13YOdOaNIELr/cC4uOOQb8/sgVLyIiIiJSAyk4EhGRhFCVibB3B0aHNvUmtr7iLm+i623boGFDuOACLywaNAhS9KdSRERERJJXzN4Nm1kb4CWgGeCAp51zf41VPSIiEn+yZ+dw7/h5bM0rqvRjfnVkK+7P2gT/ug/GjYNNm6BePTj7bC8sGjwYUlMjWLWIiIiISPyI5deoxcBNzrlvzawuMMvMJjvn5sewJhERqeGq0rOohLkgd9TfxNU5M+C3Y2H9eqhdG8480wuLhgyBjIwIVSwiIiIiEr9iFhw559YCa0O3d5jZAqAVoOBIRER+IXt2DjeOmUOwsg9wjt5rFjF04TTOW/4V9Teth8xMOP10Lyw67TSoVSuSJYuIiIiIxL0aMXGDmbUDegNfl7FvJDASoG3bttEtTEREaoSTnpjCj+t37f9A5zj056UMXTCVoQs/p/X29RT6U0gbGgqLzjgD6tSJfMEiIiIiIgki5sGRmdUB3gL+4Jzbvu9+59zTwNMAffr0qeICyyIiEs8qNSzNObpsWMHQhdMYumAa7baupcjnZ1q73jwx8GJOuOVqhh7bNToFi4iIiIgkmJgGR2aWihcaveqcGxfLWkREpGa5+Jmv+GLp5nL3d9i4ijMWTmXogmkcsnk1AfPxZdue/Kv/eUzqdBRbM+txSf+2Co1ERERERKohlquqGfAcsMA590Ss6hARkZone3ZOmaHRQVvWMHTBNIYunEbXDSsIYnzTpjv/7XMm73c6mk21swConebnybN7MKx3qyhXLiIiIiKSWGLZ42gA8CtgrpnNCW27wzk3MXYliYhITXDfu/N23261bT2nL/TCop7rlgAws1VX7j1xJBM7D2B93UaAwiIRERERkUiI5apqnwMWq/ZFRKTmSvt5LVcu/IKhC6dy+JpFAMxp0ZEHjr+SiV2OYU29pgAM6NCQb64+KpalioiIiIgktJhPji0iIgLAzz/z3V+epeDV1/hq9Xx8OOY1PZhHjruMCV0Gsiqr+e5DfQZPDO+l3kUiIiIiIhGm4EhERGJn40YYN44Nz75Ew5lfcZgLsqhxW/5yzEW812Ugyxq1/sVDLunflgeG9YhBsSIiIiIiyUfBkYiIRNfWrXz75PPsevl/HLV8NikuyI4GLXmt//lM6DqQxU3alfvQrMxUhUYiIiIiIlGk4EhERCJvxw4YP561T79Iwy8+5fBAMavqN+OZvucwoetA5jU9GGz/097de2b3KBQrIiIiIiIlFByJiEhk7NoF770HY8bAxImQn4+r25iXDh/KhC4D+a5Fp0qFRSUGdGioOY1ERERERKJMwZGIiIRPfj68/74XFr37LuTmsqVeI7K7n8SELgP5tlUXnPmqfNqOTWvzqlZPExERERGJOgVHIiJSPYWF8OGHXlj0zjuwYwfb62QxvtNxTOg6kG9adyfo8x/w6Ts2rc3kGweFr14REREREak0BUciIlJ1RUXwySdeWPT227B1K2Rlwfnnc03BwXzUsgeBaoRFJbSCmoiIiIhIbCk4EhGRygkEYOpULywaOxY2bYK6dZl9xHH8rfERfN6uF0X+1LA0pcBIRERERKRmUHAkIiLlCwbhyy/3hEXr1kGtWnDmmTBiBH1m+NgYUM8iEREREZFEpeBIRET25hx8840XFr35JqxeDRkZcPrpMGIEnH46F7/6HV9M31ztpgZ0aKhJr0VEREREajAFRyIi4oVFs2d7YdEbb8CKFZCWBqecAo88AmecAXXrclf2XF4Z9Wm1m0vxGY+dfxjDereqfu0iIiIiIhIxCo5ERJLZDz/A6697gdGSJZCSAoMHwz33wLBhkJVF9uwcbnxwKsEwNJee4uORc3sqMBIRERERiRMKjkREks2iRV5QNGYMzJ8PPh8cfzzccguccw40arT70H4PTubnHYXVbvLJEb0UFomIiIiIxCEFRyIiyWDZsj1h0XffgRkMHAj/+Aecey40a7bX4Rc/8xVfLK3+HEYdm9Zm8o2Dqn0eEdmbmZ0C/BXwA8865x7eZ/+NwK+BYmADcKVz7qfQvgAwN3ToSufcmVErXEREROKOgiMRkUS1cqU3X9GYMTBzprftqKPgySfhvPOgVdk9gA65/T2K3YE3qxXSRCLLzPzAP4CTgNXADDMb75ybX+qw2UAf51yumf0GeBQYEdqX55zrFc2aRUREJH4pOBIRSSRr1ngroY0ZA1995W074ggYPRrOPx8OOugXDznpiSn8uH5XtZtW7yKRqOkLLHHOLQMws9eBs4DdwZFzrvQs9tOBS6JaoYiIiCQMBUciIvFu/XoYO9YLi6ZN81ZI69kTHnwQhg+HQw4p82HhCoxAcxiJRFkrYFWp+6uBfhUcfxXwfqn7GWY2E28Y28POueywVygiIiIJY7/BkZl1AFY75wrMbBDQE3jJObc1sqWJiEi5Nm+GceO8sOiTTyAYhK5dvdXQRoyALl3KfWi45i8CDUsTqenM7BKgD3Bcqc0HOedyzOxg4BMzm+ucW1rGY0cCIwHatm0blXpFRESk5qlMj6O3gD5mdgjwNPAO8D/gtEgWJiIi+9i2DbKzvbBo8mQoLvZ6E91+uxcWHXqoN+l1Oe7Knssr01dWuwwNSROJuRygTan7rUPb9mJmg4E7geOccwUl251zOaHrZWY2BegN/CI4cs49jffejz59+lRj5jMRERGJZ5UJjoLOuWIzOxv4u3Pu72Y2O9KFiYgIsGMHvPuuFxZ98AEUFnrzFN14oxcW9e5dYVgUzuFo9dL9fH/fKWE5l4hUywygo5m1xwuMLgAuKn2AmfUG/gOc4pxbX2p7AyA31JO8MTAAb+JsERERkTJVJjgqMrMLgcuAM0LbUiNXkohIksvNhffe88Ki996D/HxvBbT/+z8vLOrbt8KwCMIbGIHmMBKpSUJf6F0HTAL8wPPOuXlmNgqY6ZwbD4wG6gBvmvf/xUrn3JlAV+A/ZhYEfHhzHM0vsyERERERKhccXQFcCzzonFse+nbr5ciWJSKSZPLzvR5FY8Z4PYx27YJmzeCqq+CCC+Doo8HnK/fh2bNz+MOYOWEvq1ndNL6+86Swn1dEqsc5NxGYuM+2u0vdHlzO474ENDGZiIiIVNp+gyPn3HwzuxVoG7q/HHgk0oWJiCS8wkL46CMvLMrOhu3boVEjuPhir2fRcceB31/hKcIdGBnwF/UuEhERERGRkMqsqnYG8BiQBrQ3s17AqFB3ZxERqYriYvj0Uy8sGjcOtmyBrCw491wvLDrhBEit3GjgLndOJD8QvvlqNRxNRERERET2VZmhavcCfYEpAM65OaHlW0VEpDICAZg2zQuL3noLNmyAunXhrLO8sOjkkyEtrdKn63nPB2wvCIStvAEdGvLq1UeF7XwiIiIiIpI4KjU5tnNum+09EWswQvWIiCSGYBC++soLi8aOhbVroVYtOOMMLyw65RTIzKzUqSI1f1HHprWZfOOgsJ9XREREREQSR2WCo3lmdhHgN7OOwO+ALyNblohIHHIOZszwwqI334RVqyA9HU47zZvg+vTToXbtSp/uruy5vDJ9ZVhLvKR/Wx4YpnlxRURERESkcioTHF0P3AkUAK/hLf16fySLEhGJG87Bd995YdGYMbB8uTdH0ZAh8Oc/w5lnQr16lT7dSU9M4cf1u8JepgIjERERERE5EJVZVS0XLzi6M/LliIjEiXnz9oRFixd7q58NHgx/+hMMGwYNGlTqNBc/8xVfLN0c9vKa1U3j6ztPCvt5RUREREQkuZQbHJnZu0C5y/VoVTURSTqLF+8Ji+bNA58PBg2Cm26Cc86Bxo0rdZpwr4ZWWr10P9/fd0pEzi0iIiIiIsmnoh5Hj0WtChGRmmr58j1h0Zw53raBA+Gpp+Dcc6F58/2eIlKTW+/ryRG9GNa7VcTbERERERGR5FFucOSc+yyahYiI1BirVsEbb3hh0YwZ3rZ+/eCJJ+D886F16/2eIpK9ikrL8BsLHzwt4u2IiIiIiEhyqmio2hvOueFmNpcyhqw553pGtDIRkWhauxbGjvXCoi++8LYdfjg88ggMHw7t2pX70J73fMD2gkB06kTD0UREREREJHoqGqr2+9D10GgUIiISdRs2wFtveWHRZ595K6T16AEPPAAjRsAhh/ziIZGazLoyFBiJiIiIiEi0VTRUbW3o5m+dc7eW3mdmjwC3/vJRIiI13ObN8PbbXlj0yScQCECXLnD33V5Y1LXrXoe3u+29GBXqGdChIa9efVRMaxARERERkeRVUY+jEifxy5Do1DK2iYjUTNu2wTvveGHR5MlQVAQdOsCtt3phUY8e9PvzR/z84jJgWUxLbVY3ja/vPCmmNYiIiIiIiJSoaI6j3wC/BQ42s+9L7aoLfBHpwkREqmXnTnj3XS8s+uADKCiAtm35d+8zmND1WH5o1gECBv9bBayKaalaDU1ERERERGqqinoc/Q94H3gIuK3U9h3OudhM8CEiUpG8PHjvPRgzhrzsd8ksLmBdnYZMPHQIE7oO5NuWXcAs1lWSYrDkodNjXYaIiIiIiMh+VTTH0TZgG3ChmfmBZqHj65hZHefcyijVKCJSvoIC7v7NYxz+9WQGL/mGOoV5bKiVxfs9BjOh60BmtO6GM1+sq+SS/m15YFiPWJchIiIiIiJSJfud48jMrgPuBX4GgqHNDugZubJERH7pruy5vDJ9JSmBYo5ZMYehC6dx8o/TGVWwiy0ZdRnf9VgmdBnI1217EPD5Y1anJrQWEREREZFEUZnJsf8AdHbObQp342Z2CvBXwA8865x7ONxtiEj8OemJKfy4ftde2/zBAP1XzuWhBVM5ZfFXNMjfwfb02kzqeBQTug7ki4MOo9hfmf/SwivDbyx88LSotysiIiIiIhINlfmUtQpvyFpYhYa//QNv1bbVwAwzG++cmx/utkSkZup5zwdsLwiUu99ckL6r5jF04TROWfQlTXK3sjMtk48O6cu7XY9lWrvDKUxJjWLFsOJhzU0kIiIiIiLJozLB0TJgipm9BxSUbHTOPVHNtvsCS5xzywDM7HXgLEDBkUgC2V849AvOcfiahQxdMI3TFn1O852byUtJ5+MORzKh60A+PbgPBanpkSs4pFndNL6+86SItyMiIiIiIlKTVSY4Whm6pIUu4dKKvdfAXg30C+P5RSSK2t/2Hu5AH+wcPdYtYejCaZy+cBqtt2+gwJ/KlIOP4MEuA/n4kL7kpmWGs9zd1INIRERERESkfPsNjpxz90WjkPKY2UhgJEDbtm1jWYqIAF3unEh+4IAjJhYHcwAAMqpJREFUoj2co+uG5QxdMI2hC6dx0NZ1FPpSmNa+N48P/BWTO/ZnZ3qt6rcTolXNREREREREqq4yq6o1AW4BugMZJdudcydUs+0coE2p+61D2/binHsaeBqgT58+Yfi0KiKVcfEzX/HF0s1hP+8hG1dyRigs6rB5NcXm48uDDuOpo4YzqdPRbM+oU+02NGG1iIiIiIhIeFRmqNqrwBhgKHAtcBmwIQxtzwA6mll7vMDoAuCiMJxXRKqo34OT+XlHYcTO325zDkMXTmPogml02fgTQYzpbXvw3JFn8UGno9lcq/4BndeA5RpqJiIiIiIiEjGVCY4aOeeeM7PfO+c+Az4zsxnVbdg5V2xm1wGTAD/wvHNuXnXPKyIVK2up+0hove3n3cPQDv15KQAzWnXjnsHXMLHzADbUaVjpc6kHkYiIiIiISGxUJjgqCl2vNbPTgTVA5T/xVcA5NxGYGI5ziUjZqjVpdRU1376R0xd9ztAF0+i9dhEAc1p04v7jr2Jil2NYW69JhY/XSmYiIiIiIiI1S2WCowfMrD5wE/B3oB5wQ0SrEpEDkj07hz+MmRPVNpvs3MKpiz5n6MJp9F09H4AfmnXg4eMuZ0KXY1id1Xyv4xUOiYiIiIiIxI/KrKo2IXRzG3B8ZMsRkao65Pb3KI7ytPENcrdx6uIvGbpgGv1W/YDfBVnY+CAeG3gJ73UZyPKGrbikf1s+1ypmIiIiIiIica0yq6q9AL8c6eKcuzIiFYlIhSK12tn+1MvfyZDFX3LGgmkc/dN3pLggSxu24p3TLuOcR26iS/fudAH+GPXKRERERKQ8gaBjyqL1zFuzne4t6zGoc1P8Pot1WSISRyozVG1CqdsZwNl48xyJSJREa0LrfdUpyGXwkq8ZumAqxy6fTVqwGNq3h1tvgREj6HDYYXQwvfEQEZGa56ulm2JdgkjMBYOOP7+/gCXrd1JYHCQtxcchTetwx6ld8Sk8Egm7YNAxZ9VWVmzaRbtGtenVJius/9aO6tAobOeqisoMVXur9H0zew34PGIViQgAPe/5gO0Fgai3m1mYz8UbvuOuXT/AxIlQUABt2sANv4cRI6BPH1BYJCIiUqNF+sOLxIc5q7ayZP1OCoqDABQUB1myfidzVm3l8IMaxLg6kcSSyEFtZXoc7asj0DTchYgkuy53TiQ/EOXJighNVn3jMfD++zBmDEyYALm50KIFXHONFxb17w8+X9RrExERkapL5A8vUjUrNu2iMBQalSgsDrJi0y4FRyJhlshBbWXmONqBN8eRha7XAbdGuC6RpBDtIWgGLH/4dO9OQQF8+CGMeRGangM7d0KTJnDZZV5YdMwx4PdHrTYREREJj0T+8CJV065RbdJSfLt/FwDSUny0a1Q7hlWJJKZEDmorM1StbjQKEUkW0QyLUgyWPHT6ng1FRfDBB17Porffhm3boGFDuOACLywaNAhSDqQjooiIRJOZnQL8FfADzzrnHt5nfzrwEnAEsAkY4ZxbEdp3O3AVEAB+55ybFMXSJQoS+cOLVE2vNlkc0rQO89duxzlID/U+69UmK9allUvDLKW0ePp9SOSgtsJPiGaWCVwMdAttmgmMdc4VRrowkUSSPTuHP4yZE5W2nhzRi2G9W+3ZEAjAlCleWDRuHGzaBPXqwbBhXmA0eDCkpkalNhERqT4z8wP/AE4CVgMzzGy8c25+qcOuArY45w4xswuAR4ARZtYNuADoDrQEPjKzTs656E+qF2f04UXikc9n3HFqV24d9z0FRQEuP7p9jf7d1TBLKS3efh/iMaitrHKDIzPrAYwHpgKzQpuHADeY2UnAH51zd0W+RJH4FY0JrpvVTePrO0/ae2MwCF984YVFY8fCzz9D7dpw5plez6IhQyAjI6J1iYhIxPQFljjnlgGY2evAWUDp4Ogs4N7Q7bHAU2Zmoe2vO+cKgOVmtiR0vq+iVHtc0ocXiWc+n1E3I4W6GSk1vsdZPA6zjKdQOd7E2+9DvAW1VVFRj6O/ASOdc5NLbzSzwcAPwLxIFiYSb6LZq2hAh4a8evVRe290Dr7+2guL3nwTcnIgMxNOP90Li047DWrVikp9IiISUa2AVaXurwb6lXeMc67YzLYBjULbp+/z2Fbsx7INuxjxn/BnS/PXbgeIyLm35xeF7Vw78ovJ2ZqHC61hUVAcZP7a7dw67nvqZtTMId7OOdL8PoLO0aRuOoFgkAcmzt//AyUh/bQpF4BRE2r2R7gNOwr26ikH3r+3/365nAlz18SoqvI551i5OY+8ogDOeQsPZ6b6adswE6uhqxA759hZECC/KEBGqp866f4aW2u8/T6U2LzLG6A1Ye6asNdZLyM2I0Uq+kvXYt/QCMA595GZFQFnR64skfgRrTmLfjEEDbyw6NtvvbDojTfgp58gLQ1OPRVGj4YzzoA6dSJem4iIJB4zGwmMBKjTokNE2ujWol5Ezhtu+aEPhaU5BwVFgRobHJkZBzeJn6FpJcHGQY3i40uueKs3XurMSPVjxl7/3swgPbVmLtiysyCwOzQCr+68ogA7C2rm/w0lQVduoTcioqYHXfH2+1AiXv69VUVFv80+M0sPdWXezcwygCLnXG5kSxOp+SI1FC3Dbyx88LSydzoHc+fuCYuWLPEmtD75ZBg1Cs46C+rXD3tNIiJSY+QAbUrdbx3aVtYxq80sBaiPN0l2ZR4LgHPuaeBpgD59+rgx1xxV1mE11ldLN4XtXN/+tIW/ffLjXt98p6f4uPzo9jVyuEQ8KukJc/fQ7jGupHLird54EW/DQsd9u5qxs1bvvdHBUQc34pzDW8emqAqU/F9WwjkIBB1n9GxVI/8vi7ffh2g4qkOjiJ37jWvL31dRcPQS8JaZ/Z9z7icAM2uHN4Tt5TDWJxJ37sqeyyvTV4b9vGUOQSuxcKEXFo0ZAwsWgM8HJ5wAt94KZ58NjSL3n4iIiNQoM4COZtYeL/S5ALhon2PGA5fhzV10HvCJc86Z2Xjgf2b2BN7k2B2Bb6JWeZwqmTNo3w8vmjNIJLxK5oiJlzmD4m0i+nhbcTHefh8SWbnBkXPuATO7DphmZiV9rXYBjznn/h6V6kRqiEgOR6swLFq6dE9Y9P33Xt/MY4+F66+Hc8+Fpk0jUpOIiNRcoTmLrgMmAX7geefcPDMbBcx0zo0HngNeDk1+vRkvXCJ03Bt4E2kXA/+nFdX2Tx9epLRg0LEjv5j8ogDf/rRFvwth5vMZhx/UoEYGGfuKt1A53oIuiK/fh0RW4cBL59xTeKtw1A3d3xGVqkRqiIuf+Yovlm4O+3nLXAmtxE8/eUPQxoyBWaEFDY8+Gv76VzjvPGjZMuz1iIhIfHHOTQQm7rPt7lK384Hzy3nsg8CDES0wAenDi8CeoTMlk6X/7ZMfk37oTDKLt1A53oIuqTkqNWOXAiNJNpEIjOql+/n+vlPK3pmT462ENmYMTA8tdnPkkfDYY3D++dC2bVhrEREREakp4qkHT8ny4KVX2KvJy4NL5MVTqBxvQZfUHDVvqneRGMmencONY+YQ3P+hlVJhryKAn3+GsWO9sOjzz73Z6Xr1goceguHD4eCDw1SJiIiISM0Ubz144m2OGJF9xVPQJTWHgiMRoN+Dk/l5R2FYzlVhYLRxI4wb54VFU6ZAMAjdu8N993lhUefOYalBREQk2UVy5RkJn48X/Mzyjbv26sGzfOMu8osDnNi1WWyLK0NuYTHvzV27ezlzgMw0P6cc2ly/cyKSsPYbHIUmxr4JaOucu9rMOgKdnXMTIl6dSASFu4cRlDPR9datkJ3thUWTJ0MgAB07wh13wIgRcOihYaxAREREJH7MW7OdvMK952fPKwwwf832GhkcDerclF5tspizait5hQEy0/z0apPFoM5asEREEldlehy9AMwCSj4N5wBvAgqOJC5lz87hD2PmhPWcvwiMduyA8eO9sGjSJCgshHbt4I9/9MKiXr28FdJEREREklj3lvXITPP/ogdPt5b1YlhV+fw+4+Wr+jFl0Xrmr9lOt5b1GNS5Kf4aOKxORCRcKhMcdXDOjTCzCwGcc7lm+sQr8eeu7Lm8Mn1lWM715IheDOvdau+Nu3bBe+95YdHEiZCfD61bw3XXeWHRkUcqLBIREREpJR578Ph9xoldm9XIHlEiIpFQmeCo0MwyAQdgZh2AgohWJRJm4Vol7ZL+bXlgWI89G/Lz4f33vbDo3XchNxeaN4err/bCoqOOAp+v2u2KiIiIJCL14BERqfkqExzdA3wAtDGzV4EBwOWRLEoknKo78bXP4InhpXoYFRZ6cxWNGePNXbRjBzRuDL/6lRcWHXss+P3hKV5EREQkwakHj4hIzbbf4Mg5N9nMvgX6Awb83jm3MeKViRygcPUu6ti0NpNvHOTdKS6GDz/0wqK334YtWyArC84/3wuLTjgBUrRIoYiIiIiIiCSWcj/pmtnh+2xaG7pua2ZtnXPfRq4skQPT854P2F4Q2P+BFdgdGAUC8OmnXlj01luwcSPUrQvDhnlh0UknQVpaWOoWERERERERqYkq6iLxeAX7HHBCmGsROSDZs3O4+c05FAWrd54BHRry6lX94Msv4frrYexYWLcOatWCM8/0wqJTToGMjPAULiIiIiIiIlLDlRscOeeOj2YhIgfipCem8OP6XdU6x4CDG/DqYX6vZ9FBw2H1ai8cOv10Lyw6/XQvPBIRERERERFJMvudlMXMMoDfAsfg9TSaBvzbOZcf4dpEfiFcvYtwjlOL1vCv1KXw0BuwYoU37OyUU+CRR+CMM7xhaSIiIiIiIiJJrDKz+b4E7AD+Hrp/EfAycH6kihIpSzgmve60YQVDF0zjohXTabz2J29C68GD4Z57vLmLsrLCUquIiIiIiIhIIqhMcHSoc65bqfufmtn8SBUksq+7sufyyvSVB/z4gzetZujCaQxdMI1Om1aCzwfHHw/33QnnnAONGoWxWhEREREREZHEUZng6Fsz6++cmw5gZv2AmZEtS8RzoHMYtdm6jjMWTGXowml0W78czGDgQBhxK5x7LjRrFoFqRURERERERBJLZYKjI4Avzayky0dbYJGZzQWcc65nxKqTpJM9O4fbx31P3gFMYtRy+3pOX/A5QxdO47B1P3objzoK7vg9nHcetGoV5mpFREREREREEltlgqNTIl6FCF5o9Icxc6r0mKY7NnHaoi8YunAafXIWAJDToRuMHg3nnw8HHRSBSkVERERERESSw36DI+fcT2bWAGhT+njn3LeRLEySS1XmMWq0ayunLv6SoQum0nfVPHw4FjRpx5hh1zBi9B9pdcghEa5WREREREREJDnsNzgys/uBy4GlgAttdsAJkStLkkX27BxuHDOH/Q1Mq5+3g1MWf8nQBdM4euX3+F2QHxu14dMLruXEe35H1y5d6BqVikVERERERESSR2WGqg0HOjjnCiNdjCSX/fUyqluwi5MXT2fowqkcs2IOqcEAyxu04J/9z+f7ASfzzKNX0NEsihWLiIiIiIiIJJfKBEc/AFnA+siWIsmiosCoVmEeg5d8zRkLpnHs8lmkB4pZXa8pzx05jHe7DGRB8w48MaI31/fWRNciIiIiIiIikVaZ4OghYLaZ/QAUlGx0zp0Zsaok4VQUFmUU5XPC0pkMXTCVE5bNJKO4kLV1GvFy79OZ0PVY5rToBGYM6NCQZVcfFeXKRURERERERJJXZYKjF4FHgLmw36loRPZSXmCUVlzEcctnMXTBNAYv+ZraRflsqJ3FmJ4n8W7XY5nVqivOfHRsWpsVNw6KfuEiIiIiIiIiUqngKNc597eIVyIJpaxJr1MDRQxYMYczFk7jpMXTqVeYy+bMerzTbRDvdh3I120OJejz7z7+kv5teWBYj+gXLyIiIiIiIiJA5YKjaWb2EDCevYeqfRuxqiRuZc/O4eY351AUSoz8wQBH/fQ9QxdO45TFX5KVv5Nt6bX5oPPRTOgykC8POoxi/96/hgM6NORVDUkTERERERERibnKBEe9Q9f9S21zwAkH2qiZjQbOAAqBpcAVzrmtB3o+qRlKhqX5ggH6r57H0AVeWNQ4dxs70jKZ3LE/E7oMZFr73hT5U8s8h3oZiYiIiIiIiNQc+w2OnHPHR6DdycDtzrliM3sEuB24NQLtSJRkz1rF/LGTuGfhVE5b9AXNdm4mNzWdjzv0ZULXgUxpfwQFqenlPr52mp8Hz+7BMK2WJiIiIiIiIlJjVKbHEWZ2OtAdyCjZ5pwbdaCNOuc+LHV3OnDegZ5LYsg5mDkTxoyh3zMvMWz7Bgr8qXzaoQ8Tugzk4w59yUvLKPfhBlysHkYiIiIiIiIiNdZ+gyMz+zdQCzgeeBYv5PkmjDVcCYypoP2RwEiAtm3bhrFZOSDOwXffwZgx8MYbsGwZxSkpzDuoN48ceykfHdKPnem1yn14is947PzD1LNIREREREREJA5UpsfR0c65nmb2vXPuPjN7HHh/fw8ys4+A5mXsutM5907omDuBYuDV8s7jnHsaeBqgT58+rhL1SiTMm+eFRWPGwOLF4PfD4MGMO+1y7vV3YntGnf2eQvMXiYiIiIiIiMSXygRHeaHrXDNrCWwCWuzvQc65wRXtN7PLgaHAic45BUI10eLFe8KiefPA54NBg+Cmm+Ccc7jr87W8Mn3lfk+jwEhEREREREQkPlUmOJpgZlnAaOBbvBXVnqlOo2Z2CnALcJxzLrc655IwW758T1g0Z463beBAeOopOPdcaN6c7Nk53PzE1xQF93+6J0f00rA0ERERERERkThVmVXV7g/dfMvMJgAZzrlt1Wz3KSAdmGxmANOdc9dW85xyoFatgjff9MKib0LTV/XrB088AeefD61b7z70ruy5leplBF5PI4VGIiIiIiIiIvGr3ODIzI4EVjnn1oXuXwqcC/xkZvc65zYfaKPOuUMO9LESJmvXwtixXlj0xRfetsMPh0cegeHDoV27vQ7Pnp3D7eO+J68y3YyAzFSfhqeJiIiIiIiIxLmKehz9BxgMYGbHAg8D1wO98CarPi/SxUmYbdgAb73lhUWffeatkNajBzzwgBcWdexY5sMufuYrvlha+ZzQZ/DQOT3DVbWIiIiEmFlDvNVo2wErgOHOuS37HNML+BdQDwgADzrnxoT2/Rc4DijpPX65c25O5CsXERGReFVRcOQv1atoBPC0c+4tvCFrcyJemYTH5s3w9tteWPTJJxAIQJcucPfdMGIEdO1a4cPvyp5bpdCodpqfB8/uoSFqIiIikXEb8LFz7mEzuy10/9Z9jskFLnXO/Rha2GSWmU1yzm0N7b/ZOTc2eiWLiIhIPKswODKzFOdcMXAiMLKSj5NY27YN3nnHC4smT4aiIujQAW691QuLevQAb26p/Xrt61WVbnZAh4a8evVRB1q1iIiI7N9ZwKDQ7ReBKewTHDnnFpe6vcbM1gNNgK1RqVBEREQSSkUB0GvAZ2a2EcgDpgGY2SHs6d4sNcXOnTBhghcWvf8+FBRA27bwhz94YdHhh1c6LCot4Nx+jzHg4v5tNaeRiIhI5DVzzq0N3V4HNKvoYDPrC6QBS0ttftDM7gY+Bm5zzhWU89iRhL44bNu2bXXrFhERkThVbnDknHvQzD4GWgAfOrc7QfDhzXUksZaXBxMnemHRhAne/ZYt4dprvbCof/8DCotK85tVGB5dosBIREQkrMzsI6B5GbvuLH3HOefMrNw/0mbWAngZuMw5V7K6xe14gVMa3pyVtwKjynq8c+7p0DH06dNn/98kiYiISEKqcMiZc256GdsWl3WsRElBAUya5IVF48d7PY2aNoUrrvDComOOAZ8vbM1d2K8Nr0xf+Yvt6Sk+Hjm3p+YyEhERCTPn3ODy9pnZz2bWwjm3NhQMrS/nuHrAe8Cdpd/PleqtVGBmLwB/DGPpIiIikoA0V1E8KCqCjz7ywqLsbG8Oo4YN4cILvbDouOMgJTI/yj4HNeStWavJK/K+qPQZXNRPvYxERERiZDxwGd5qt5cB7+x7gJmlAW8DL+07CXap0MmAYcAPEa9YRERE4pqCo5qquBimTPHConHjvNXR6teHs8/2wqITT4TU1IiWcFf2XF6dvpLSfdPTU/z0OahhRNsVERGRcj0MvGFmVwE/AcMBzKwPcK1z7tehbccCjczs8tDjLnfOzQFeNbMmeFMUzgGujWr1IiIiEncUHNUkwSB8/rkXFo0dC+vXQ506cOaZcMEFcPLJkJ4e0RKyZ+dw7/h5bM0rKnN/XlGA0ZMWaYiaiIhIDDjnNuGtdrvv9pnAr0O3XwFeKefxJ0S0QBEREUk4Co5izTmYPt0Li958E9asgcxMGDrU61l02mne/SjInp3DzW9+R1Gw4vkv12zNi0o9IiIiIiIiIhJbCo5iwTmYNcsLi954A1au9HoSnXqqFxYNHer1NIqi7Nk53PDGHCpYQG23llnRCbJEREREREREJLYUHEWLc/D993vCoqVLvTmKTj4ZHngAzjoL6tWLSWklPY0qExoZcPOQzhGvSURERERERERiT8FRpM2f74VFY8bAokXg93sTW99xhzfRdYMGMS0ve3YON73xHYHKpEbAxf3ban4jERERERERkSSh4CgSlizZExbNnQtmMGgQ3HADnHMONGkS6wqBsldNq8gl/dvywLAeEa1JRERERERERGoOBUfhsmKFNwRtzBj49ltv24AB8Le/wXnnQYsWMS1vX3dlz+WV6SsrdWyDWqncc0Z39TQSERERERERSTIKjqpj9WpvJbQxY+Drr71tffvC44/D+edDmzaxra8c2bNzeLUSoVGq3xh93mEKjERERERERESSlIKjqlq3DsaO9cKizz/3tvXuDQ8/DMOHQ/v2sa2vHNmzcxg9aRE5W/Mqdbx6GYmIiIiIiIiIgqPK2LgR3nrLC4s++wyCQTj0ULj/fi8s6tQp1hVWqCpzGRnwlxG9FBiJiIiIiIiIiIKjcm3ZAtnZXlj00UcQCHgB0Z13wogR0L17rCusUPbsHO4dP4+teUVVepxWTRMRERERERGREgqOStu+HcaP98KiSZOgqMgbenbzzV5YdNhh3gppNdiBBkagVdNEREREREREZG8KjnbtggkTvLBo4kQoKPAmtf7d77ywqE+fGh0WlZ67yKBSw9HKkpWZqtBIRERERERERPaSnMFRXh68/74XFk2YALm50KIFXHONFxb17w8+X6yr3K/s2TncPm4ueUUB4MBDo1S/ce+ZNXvonYiIiIiIiIhEX/IER4WF8OGH8Prr8M47sHMnNGkCl13mhUXHHAN+f6yrrLTs2Tnc9MZ3BNyBxkUerZ4mIiIiIiIiIuVJ7OCoqAg++cTrWfT227B1KzRsCBdc4IVFgwZBSvy9BCU9jQ4kNFJQJCIiIiIiIiKVFX+pyf4EAvDZZ15Y9NZbsGkT1KsHw4Z5gdHgwZCaGusqD9iB9jRSYCQiIiIiIiIiVZVYwdGaNXD44fDzz1C7Npx5ptezaMgQyMiIdXXVciCrpSksEhEREREREZHqSKzgqEULOO88bwjaaadBrVqxrigs9p0Ee39aZWVy85DOCoxEREREREREpFoSKzgyg6eeinUVYTd60qL9hkaZqX4eOqeHwiIRERERERERCZuav+a8sGZrXoX7/WYKjUREREREREQk7BQcxYGWWZnl7stM9fP48MMUGomIiIiIiIhI2Ck4igM3D+lMZqr/F9sb1EpVTyMRERERERERiZjEmuMoAWXPztk9x5HfjIBzmvxaRERERERERKJCwVENtu9qagHnyEz1KzQSERERERERkahQcFQDlfQyyiljUuy8ogCjJy1ScCT/3979R1le1/cdf76yu4QJoa4IRXbBgIprQWXXrhzANqfC4pI0x10tplqTQxospznxR2McZUuPaVJtN64ntE1MLVUjp+GIiuvKQeLyQ6xWRQEXWH5khOAvZkF+1DExjLAu7/5xv4Ozy52dGXbufO+9+3ycM2e+38/93u993w+z37m85vP5fCVJkiRJ6jmDoz6z7yijbma7y5okSZIkSdJCMDjqE/sbZbSv/d1lTZIkSZIkaaEYHPWBuYwymjK1xpEkSZIkSVKvGRz1gam7ps3Gu6lJkiRJkqTFZHDUB2Zbs2hk2RL+y+teamAkSZIkSZIW1c+1XYD2v2bRyuUjhkaSJEmSJKkVjjhq0fQFsQPUtMccZSRJkiRJktrW6oijJL+fpJIc2WYdbZhaEHvqLmoFpHnMUUaSJEmSJKkftDbiKMlxwKuB77VVw2KbGmG0a2KSn0vYU7XX40UnNPrKhWe2U6AkSZIkSdI0bY44uhh4F3vP0Bpa00cYFTwtNJoy20LZkiTp4JXkiCTXJrmn+f7sGY7bk+TW5uvKae0nJPl6knuTfCLJIYtXvSRJGkStBEdJNgDjVXVbG6/fhi3bx5jcvWfW4/a3ULYkSTroXQhcX1UnAtc3+91MVtXq5us109r/GLi4ql4I/BA4v7flSpKkQdez4CjJdUnu6PK1Afj3wHvmeJ4Lktyc5OaHH364V+X23FxGEo0sW8Lo+lWLUI0kSRpQG4BLm+1LgY1zfWKSAGcCVzyT50uSpINTz4KjqlpXVS/Z9wu4DzgBuC3Jd4BjgW8mee4M57mkqtZW1dqjjjqqV+X23EwjiZYkBBfEliRJc3J0VT3QbD8IHD3DcYc2f3i7McnGpu05wERV/bTZvx+Y8YPHsPzxTpIkHZhFXxy7qnYC/3BqvwmP1lbVI4tdy2IaXb+KTVt37jVdbWTZEsMiSZK0lyTXAd3+oHbR9J2qqiQzrRX5S1U1nuT5wBeS7AR+NJ86quoS4BKAtWvXHhRrUkqSpKdr7a5qB5upcGjqrmorlo8wun6VoZEkSdpLVa2b6bEkP0hyTFU9kOQY4KEZzjHefL8vyReBNcCngeVJljajjo4Fxhf8DUiSpKHSenBUVce3XcNi2bhmpUGRJEk6EFcC5wGbm++f3feA5k5rj1XV40mOBF4JvL8ZoXQDcC5w+UzPlyRJmq714GiYbdsx7ggjSZK0kDYDn0xyPvBd4NcBkqwF/m1VvRn4R8D/TPIknfUsN1fVXc3z3w1cnuS9wA7gI4v9BiRJ0mAxOOqRbTvG91rTaHxikk1bdwIYHkmSpGekqh4FzurSfjPw5mb7q8BLZ3j+fcCpvaxRkiQNl57dVe1gt2X72F4LYQNM7t7Dlu1jLVUkSZIkSZI0PwZHPbJrYnJe7ZIkSZIkSf3G4KhHViwfmVe7JEmSJElSvzE46pHR9asYWbZkr7aRZUsYXb+qpYokSZIkSZLmx8Wxe2RqAWzvqiZJkiRJkgaVwVEPbVyz0qBIkiRJkiQNLKeqSZIkSZIkqSuDI0mSJEmSJHVlcCRJkiRJkqSuDI4kSZIkSZLUlcGRJEmSJEmSujI4kiRJkiRJUlcGR5IkSZIkSerK4EiSJEmSJEldLW27gGGwbcc4W7aPsWtikhXLRxhdv4qNa1a2XZYkSZIkSdIBMTg6QNt2jLNp604md+8BYHxikk1bdwIYHkmSJEmSpIHmVLUDtGX72FOh0ZTJ3XvYsn2spYokSZIkSZIWhsHRAdo1MTmvdkmSJEmSpEFhcHSAViwfmVe7JEmSJEnSoDA4OkCj61cxsmzJXm0jy5Ywun5VSxVJkiRJkiQtDBfHPkBTC2B7VzVJkiRJkjRsDI4WwMY1Kw2KJEmSJEnS0HGqmiRJkiRJkroyOJIkSZIkSVJXBkeSJEmSJEnqyuBIkiRJkiRJXRkcSZIkSZIkqSuDI0mSJEmSJHVlcCRJkiRJkqSuDI4kSZIkSZLUlcGRJEmSJEmSujI4kiRJkiRJUldL2y5gkGzbMc6W7WPsmphkxfIRRtevYuOalW2XJUmSJEmS1BMGR3O0bcc4m7buZHL3HgDGJybZtHUngOGRJEmSJEkaSk5Vm6Mt28eeCo2mTO7ew5btYy1VJEmSDjZJjkhybZJ7mu/P7nLMq5LcOu3rJ0k2No99LMm3pz22erHfgyRJGiwGR3O0a2JyXu2SJEk9cCFwfVWdCFzf7O+lqm6oqtVVtRo4E3gMuGbaIaNTj1fVrYtQsyRJGmAGR3O0YvnIvNolSZJ6YANwabN9KbBxluPPBf6qqh7rZVGSJGl4GRzN0ej6VYwsW7JX28iyJYyuX9VSRZIk6SB0dFU90Gw/CBw9y/FvAD6+T9v7ktye5OIkP7/gFUqSpKHi4thzNLUAtndVkyRJvZTkOuC5XR66aPpOVVWS2s95jgFeCmyf1ryJTuB0CHAJ8G7gj2Z4/gXABQDPe97z5vEOJEnSMGktOEryVuB3gT3A56rqXW3VMlcb16w0KJIkST1VVetmeizJD5IcU1UPNMHQQ/s51a8Dn6mq3dPOPTVa6fEkfwG8cz91XEInXGLt2rUzBlSSJGm4tTJVLcmr6MzRP6WqTgY+0EYdkiRJA+ZK4Lxm+zzgs/s59o3sM02tCZtIEjrrI92x8CVKkqRh0tYaR78DbK6qxwGqan9/LZMkSVLHZuDsJPcA65p9kqxN8uGpg5IcDxwH/J99nn9Zkp3ATuBI4L2LUbQkSRpcbU1VexHwT5O8D/gJ8M6quqmlWiRJkgZCVT0KnNWl/WbgzdP2vwM8bX59VZ3Zy/okSdLw6VlwNMvCjkuBI4DTgFcAn0zy/Kp62vx5F2aUJEmSJElqR8+Co1kWdvwdYGsTFH0jyZN0hks/3OU8LswoSZIkSZLUgrbWONoGvAogyYvo3BL2kZZqkSRJkiRJUhdtrXH0UeCjSe4AngDO6zZNTZIkSZIkSe1pJTiqqieA32jjtSVJkiRJkjQ3bU1VkyRJkiRJUp8zOJIkSZIkSVJXBkeSJEmSJEnqyuBIkiRJkiRJXRkcSZIkSZIkqatW7qrWj7btGGfL9jF2TUyyYvkIo+tXsXHNyrbLkiRJkiRJao3BEZ3QaNPWnUzu3gPA+MQkm7buBDA8kiRJkiRJBy2nqgFbto89FRpNmdy9hy3bx1qqSJIkSZIkqX0GR8Cuicl5tUuSJEmSJB0MDI6AFctH5tUuSZIkSZJ0MDA4AkbXr2Jk2ZK92kaWLWF0/aqWKpIkSZIkSWqfi2PzswWwvauaJEmSJEnSzxgcNTauWWlQJEmSJEmSNI1T1SRJkiRJktTVUI042rZj3OlmkiRJkiRJC2RogqNtO8bZtHUnk7v3ADA+McmmrTsBDI8kSZIkSZKegaGZqrZl+9hTodGUyd172LJ9rKWKJEmSJEmSBtvQBEe7Jibn1S5JkiRJkqT9G5rgaMXykXm1S5IkSZIkaf+GJjgaXb+KkWVL9mobWbaE0fWrWqpIkiRJkiRpsA3N4thTC2B7VzVJkiRJkqSFMTTBEXTCI4MiSZIkSZKkhTE0U9UkSZIkSZK0sAyOJEmSJEmS1JXBkSRJkiRJkroyOJIkSZIkSVJXBkeSJEmSJEnqyuBIkiRJkiRJXRkcSZIkSZIkqSuDI0mSpAGR5PVJ7kzyZJK1+znunCRjSe5NcuG09hOSfL1p/0SSQxanckmSNKgMjiRJkgbHHcDrgC/NdECSJcAHgV8BTgLemOSk5uE/Bi6uqhcCPwTO7225kiRp0BkcSZIkDYiquruqxmY57FTg3qq6r6qeAC4HNiQJcCZwRXPcpcDGnhUrSZKGgsGRJEnScFkJfH/a/v1N23OAiar66T7tkiRJM1radgHzccsttzyS5LstvfyRwCMtvfYgsZ/mxn6aO/tqbuynubGf5qbNfvqlll63byS5Dnhul4cuqqrPLmIdFwAXNLs/TjLbSKdnyn+XvWX/9o5921v2b2/Zv701iP0742ewgQqOquqotl47yc1VNeMilOqwn+bGfpo7+2pu7Ke5sZ/mxn5qV1WtO8BTjAPHTds/tml7FFieZGkz6miqfaY6LgEuOcBaZuXPW2/Zv71j3/aW/dtb9m9vDVv/OlVNkiRpuNwEnNjcQe0Q4A3AlVVVwA3Auc1x5wGLNoJJkiQNJoMjSZKkAZHktUnuB04HPpdke9O+IsnVAM1oorcA24G7gU9W1Z3NKd4NvCPJvXTWPPrIYr8HSZI0WAZqqlrLej5Ue0jYT3NjP82dfTU39tPc2E9zYz/1qar6DPCZLu27gF+dtn81cHWX4+6jc9e1fuLPW2/Zv71j3/aW/dtb9m9vDVX/pjNqWZIkSZIkSdqbU9UkSZIkSZLUlcHRPCT5T0luT3JrkmuSrGi7pn6UZEuSv2766jNJlrddUz9K8vokdyZ5MsnQrLi/UJKck2Qsyb1JLmy7nn6V5KNJHkpyR9u19KskxyW5Icldzb+5t7ddU79KcmiSbyS5remrP2y7Jg0vr/O943VvcSRZkmRHkqvarmXYJFme5Irm/ynuTnJ62zUNkyS/11wb7kjy8SSHtl3TIOv2eTzJEUmuTXJP8/3ZbdZ4oAyO5mdLVb2sqlYDVwHvabmefnUt8JKqehnwLWBTy/X0qzuA1wFfaruQfpNkCfBB4FeAk4A3Jjmp3ar61seAc9ouos/9FPj9qjoJOA34XX+eZvQ4cGZVnQKsBs5Jclq7JWkYeZ3vOa97i+PtdBag18L7b8Dnq+rFwCnYzwsmyUrgbcDaqnoJsITO3Tf1zH2Mp38evxC4vqpOBK5v9geWwdE8VNXfTts9DHCBqC6q6prmji4ANwLHtllPv6qqu6tqrO06+tSpwL1VdV9VPQFcDmxouaa+VFVfAv5f23X0s6p6oKq+2Wz/HZ0Pnyvbrao/VcePm91lzZe/69QLXud7yOte7yU5FvjnwIfbrmXYJHkW8Ms0d32sqieqaqLVoobPUmAkyVLgF4BdLdcz0Gb4PL4BuLTZvhTYuJg1LTSDo3lK8r4k3wfehCOO5uK3gb9quwgNnJXA96ft348feLUAkhwPrAG+3nIpfauZenEr8BBwbVXZV+oFr/OLxOtez/xX4F3Aky3XMYxOAB4G/qKZCvjhJIe1XdSwqKpx4APA94AHgB9V1TXtVjWUjq6qB5rtB4Gj2yzmQBkc7SPJdc1cz32/NgBU1UVVdRxwGfCWdqttz2z91BxzEZ2h0pe1V2m75tJPkhZHkl8EPg38u31GkGqaqtrTTMk+Fjg1yUtaLknSM+R1rzeS/BrwUFXd0nYtQ2op8HLgf1TVGuDvGfBpPv2kWWtnA52AbgVwWJLfaLeq4VadW9kP9AjupW0X0G+qat0cD70MuBr4gx6W07dm66ckvwX8GnBW8w/loDSPnyftbRw4btr+sU2b9IwkWUbnf54uq6qtbdczCKpqIskNdObsu/i6FprX+R7zutdTrwRek+RXgUOBf5DkL6vK//leGPcD908b8XoFBkcLaR3w7ap6GCDJVuAM4C9brWr4/CDJMVX1QJJj6IzkHliOOJqHJCdO290A/HVbtfSzJOfQGbr7mqp6rO16NJBuAk5MckKSQ+gs2HdlyzVpQCUJnXUS7q6qP2m7nn6W5KipO2EmGQHOxt916g2v8z3kda+3qmpTVR1bVcfT+dn9gqHRwqmqB4HvJ1nVNJ0F3NViScPme8BpSX6huVachYuP98KVwHnN9nnAZ1us5YAZHM3P5maa0e3Aq+ncSUFP92fA4cC1SW5N8qG2C+pHSV6b5H7gdOBzSba3XVO/aBZXfwuwnc4vsk9W1Z3tVtWfknwc+BqwKsn9Sc5vu6Y+9ErgN4Ezm2vSrc1fifV0xwA3NL/nbqKzxpG3mdaC8zrfc173NOjeClzW/D5aDfzndssZHs1IriuAbwI76WQCl7Ra1ICb4fP4ZuDsJPfQGeW1uc0aD1QO4llEkiRJkiRJ2g9HHEmSJEmSJKkrgyNJkiRJkiR1ZXAkSZIkSZKkrgyOJEmSJEmS1JXBkSRJkiRJkroyOJKGRJLnTLvl7oNJxpvtiSR3LXItG5OcNG3/j5KsewbnOT7JHTM8dnKSLyQZS/I3Sf4wyYJf0/b3XpJ8McnahX5NSZIkSeoXBkfSkKiqR6tqdVWtBj4EXNxsrwaeXOjXS7J0Pw9vBJ4KW6rqPVV13QK+9ghwJbC5qlYBLwVOBd6+UK8xzUZ6+F4kSZIkqZ8ZHEkHhyVJ/leSO5Nc0wQvJHlBks8nuSXJl5O8uGk/vhnNc3uS65M8r2n/WJIPJfk68P5uz09yBvAaYEsz4ukFzfPObc7xiiRfTXJbkm8kObx5vS8n+WbzdcYs7+dfAV+pqmsAquox4C3AaPMa/zHJO6cOTnJHkuOb7W1NvXcmuWDaMT9O8r6mrhuTHD3be5kuyauTfK2p/1NJfrFp35zkrqYvPzD//3SSJEmS1B6DI+ngcCLwwao6GZgA/kXTfgnw1qr6x8A7gT9v2v8UuLSqXgZcBvz3aec6Fjijqt7R7flV9VU6o4FGmxFQfzP1xCSHAJ8A3l5VpwDrgEngIeDsqno58C/3eb1uTgZumd7QvM5IkuWzPPe3m3rXAm9L8pym/TDgxqauLwH/Zn/vZbokRwL/AVjXvIebgXc0534tcHLTl++dpTZJkiRJ6iv7m2oiaXh8u6pubbZvAY5vRsScAXwqydRxP998Px14XbP9v4H3TzvXp6pqzyzPn8kq4IGqugmgqv4WIMlhwJ8lWQ3sAV403zc4D29L8tpm+zg6odqjwBPAVU37LcDZ8zjnaXSms32l6YtDgK8BPwJ+AnwkyVXTzi9JkiRJA8HgSDo4PD5tew8wQmfE4USzDtJ8/H3z/Zk+v5vfA34AnNKc9yezHH8X8MvTG5I8H3i0qiaS/JS9R1Qe2hzzz+iMcjq9qh5L8sWpx4DdVVXN9h7md30McG1VvfFpDySnAmcB59KZTnfmPM4rSZIkSa1yqpp0kGpG+3w7yesB0nFK8/BXgTc0228CvjzP5/8dcHiXlx0DjknyiuY5hzeLbD+LzkikJ4HfBJbMUv5lwD+ZdnezETrT2/6gefw7wMubx14OnNC0Pwv4YRMavZjOSKHZzPReprsReGWSFzaveViSFzWjsp5VVVfTCcdO2d9JJEmSJKnfGBxJB7c3AecnuQ24E9jQtL8V+NdJbqcT5Mx0t7KZnn85MJpkR5IXTB1cVU/QWcPoT5vnXEtnxM+fA+c1bS/mZ6OauqqqSTqLVl+U5FvAI3QWy76sOeTTwBFJ7qQzyudbTfvngaVJ7gY20wl8ZtP1vexTz8PAbwEfb/rsa837OBy4qmn7v8A75vB6kiRJktQ38rOZGZI0mJJsBP4EeFVVfbflciRJkiRpaBgcSZIkSZIkqSunqkmSJEmSJKkrgyNJkiRJkiR1ZXAkSZIkSZKkrgyOJEmSJEmS1JXBkSRJkiRJkroyOJIkSZIkSVJXBkeSJEmSJEnq6v8D/eDg6bVHQXwAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 1440x1008 with 4 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "\n",
        "result.plot_diagnostics(figsize=(20, 14))\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "kw292nAWo9Mx"
      },
      "outputs": [],
      "source": [
        "fore=result.predict(start = len(train), end = len(df)-1)\n",
        "fores=pd.Series(fore)\n",
        "\n",
        "val['d']=fores.values\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 514
        },
        "id": "u7AP9r9ryMAW",
        "outputId": "77a129b8-0306-443f-d2c1-ed53344ed475"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "<Axes: xlabel='Date'>"
            ]
          },
          "execution_count": 37,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 864x576 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "\n",
        "val[['Close','d']].plot(figsize=(12,8))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "yTcPAYkg2r_h",
        "outputId": "933d32a9-4b5c-4f31-b3d6-f6000af34e8d"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "Date\n",
              "06-02-2023    2328.477813\n",
              "07-02-2023    2327.896347\n",
              "08-02-2023    2327.313838\n",
              "09-02-2023    2326.731638\n",
              "10-02-2023    2326.149776\n",
              "13-02-2023    2325.568253\n",
              "14-02-2023    2324.987069\n",
              "15-02-2023    2324.406224\n",
              "16-02-2023    2323.825718\n",
              "17-02-2023    2323.245550\n",
              "20-02-2023    2322.665720\n",
              "21-02-2023    2322.086228\n",
              "22-02-2023    2321.507074\n",
              "23-02-2023    2320.928258\n",
              "24-02-2023    2320.349779\n",
              "27-02-2023    2319.771637\n",
              "28-02-2023    2319.193832\n",
              "01-03-2023    2318.616364\n",
              "02-03-2023    2318.039233\n",
              "03-03-2023    2317.462438\n",
              "06-03-2023    2316.885980\n",
              "08-03-2023    2316.309857\n",
              "09-03-2023    2315.734070\n",
              "10-03-2023    2315.158619\n",
              "Name: d, dtype: float64"
            ]
          },
          "execution_count": 38,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "val['d']"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "rxhdSPYgkmH6",
        "outputId": "24d5e36a-a025-469f-bcfb-df2ccfeefaed"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "2023-03-13    2314.583503\n",
            "2023-03-14    2314.008723\n",
            "2023-03-15    2313.434278\n",
            "2023-03-16    2312.860167\n",
            "2023-03-17    2312.286391\n",
            "2023-03-18    2311.712950\n",
            "2023-03-19    2311.139843\n",
            "2023-03-20    2310.567070\n",
            "2023-03-21    2309.994631\n",
            "2023-03-22    2309.422525\n",
            "2023-03-23    2308.850753\n",
            "2023-03-24    2308.279315\n",
            "2023-03-25    2307.708209\n",
            "2023-03-26    2307.137437\n",
            "2023-03-27    2306.566997\n",
            "2023-03-28    2305.996889\n",
            "2023-03-29    2305.427114\n",
            "2023-03-30    2304.857671\n",
            "2023-03-31    2304.288560\n",
            "Freq: D, Name: ARIMA Predictions, dtype: float64\n"
          ]
        }
      ],
      "source": [
        "index_future_dates=pd.date_range(start='2023-03-13',end='2023-03-31')\n",
        "pred=result.predict(start=len(df),end=len(df)+18,).rename('ARIMA Predictions')\n",
        "pred.index=index_future_dates\n",
        "print(pred)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 360
        },
        "id": "wSfcmKHh23LC",
        "outputId": "09ee9287-204e-488d-e14c-169358c85162"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "<AxesSubplot:>"
            ]
          },
          "execution_count": 344,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 864x360 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "\n",
        "pred.plot(figsize=(12,5),legend=True)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "WEYaFAYN3UrL"
      },
      "outputs": [],
      "source": [
        "https://arxiv.org/abs/1904.05315v1"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ANmbtApvSrS5",
        "outputId": "71d00121-b4ba-4780-c4dd-a892b70c213a"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Requirement already satisfied: prophet in /usr/local/lib/python3.9/dist-packages (1.1.2)\n",
            "Requirement already satisfied: holidays>=0.14.2 in /usr/local/lib/python3.9/dist-packages (from prophet) (0.21.13)\n",
            "Requirement already satisfied: convertdate>=2.1.2 in /usr/local/lib/python3.9/dist-packages (from prophet) (2.4.0)\n",
            "Requirement already satisfied: LunarCalendar>=0.0.9 in /usr/local/lib/python3.9/dist-packages (from prophet) (0.0.9)\n",
            "Requirement already satisfied: matplotlib>=2.0.0 in /usr/local/lib/python3.9/dist-packages (from prophet) (3.7.1)\n",
            "Requirement already satisfied: tqdm>=4.36.1 in /usr/local/lib/python3.9/dist-packages (from prophet) (4.65.0)\n",
            "Requirement already satisfied: cmdstanpy>=1.0.4 in /usr/local/lib/python3.9/dist-packages (from prophet) (1.1.0)\n",
            "Requirement already satisfied: pandas>=1.0.4 in /usr/local/lib/python3.9/dist-packages (from prophet) (1.4.4)\n",
            "Requirement already satisfied: numpy>=1.15.4 in /usr/local/lib/python3.9/dist-packages (from prophet) (1.22.4)\n",
            "Requirement already satisfied: python-dateutil>=2.8.0 in /usr/local/lib/python3.9/dist-packages (from prophet) (2.8.2)\n",
            "Requirement already satisfied: pymeeus<=1,>=0.3.13 in /usr/local/lib/python3.9/dist-packages (from convertdate>=2.1.2->prophet) (0.5.12)\n",
            "Requirement already satisfied: korean-lunar-calendar in /usr/local/lib/python3.9/dist-packages (from holidays>=0.14.2->prophet) (0.3.1)\n",
            "Requirement already satisfied: hijri-converter in /usr/local/lib/python3.9/dist-packages (from holidays>=0.14.2->prophet) (2.2.4)\n",
            "Requirement already satisfied: ephem>=3.7.5.3 in /usr/local/lib/python3.9/dist-packages (from LunarCalendar>=0.0.9->prophet) (4.1.4)\n",
            "Requirement already satisfied: pytz in /usr/local/lib/python3.9/dist-packages (from LunarCalendar>=0.0.9->prophet) (2022.7.1)\n",
            "Requirement already satisfied: pyparsing>=2.3.1 in /usr/local/lib/python3.9/dist-packages (from matplotlib>=2.0.0->prophet) (3.0.9)\n",
            "Requirement already satisfied: fonttools>=4.22.0 in /usr/local/lib/python3.9/dist-packages (from matplotlib>=2.0.0->prophet) (4.39.0)\n",
            "Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.9/dist-packages (from matplotlib>=2.0.0->prophet) (1.4.4)\n",
            "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.9/dist-packages (from matplotlib>=2.0.0->prophet) (23.0)\n",
            "Requirement already satisfied: pillow>=6.2.0 in /usr/local/lib/python3.9/dist-packages (from matplotlib>=2.0.0->prophet) (8.4.0)\n",
            "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.9/dist-packages (from matplotlib>=2.0.0->prophet) (0.11.0)\n",
            "Requirement already satisfied: importlib-resources>=3.2.0 in /usr/local/lib/python3.9/dist-packages (from matplotlib>=2.0.0->prophet) (5.12.0)\n",
            "Requirement already satisfied: contourpy>=1.0.1 in /usr/local/lib/python3.9/dist-packages (from matplotlib>=2.0.0->prophet) (1.0.7)\n",
            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.9/dist-packages (from python-dateutil>=2.8.0->prophet) (1.15.0)\n",
            "Requirement already satisfied: zipp>=3.1.0 in /usr/local/lib/python3.9/dist-packages (from importlib-resources>=3.2.0->matplotlib>=2.0.0->prophet) (3.15.0)\n"
          ]
        }
      ],
      "source": [
        "!pip install prophet\n",
        "\n",
        "import prophet\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "qsG-3RjmTzPe"
      },
      "outputs": [],
      "source": [
        "from prophet import Prophet"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 455
        },
        "id": "8rE_4oSATOj3",
        "outputId": "5de0a15d-a4e6-431b-f8fb-68e397097827"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-d40159a2-0d8e-477f-b08d-aa8e0b15b037\">\n",
              "    <div 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>Close</th>\n",
              "      <th>close_log</th>\n",
              "      <th>close_log_diff</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Date</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>01-01-2015</th>\n",
              "      <td>439.781311</td>\n",
              "      <td>6.086278</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>02-01-2015</th>\n",
              "      <td>438.617340</td>\n",
              "      <td>6.083627</td>\n",
              "      <td>-0.002650</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>05-01-2015</th>\n",
              "      <td>433.812897</td>\n",
              "      <td>6.072613</td>\n",
              "      <td>-0.011014</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>06-01-2015</th>\n",
              "      <td>414.124512</td>\n",
              "      <td>6.026167</td>\n",
              "      <td>-0.046447</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>07-01-2015</th>\n",
              "      <td>423.139069</td>\n",
              "      <td>6.047701</td>\n",
              "      <td>0.021534</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>03-03-2023</th>\n",
              "      <td>2385.399902</td>\n",
              "      <td>7.777122</td>\n",
              "      <td>0.025195</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>06-03-2023</th>\n",
              "      <td>2408.699951</td>\n",
              "      <td>7.786842</td>\n",
              "      <td>0.009720</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>08-03-2023</th>\n",
              "      <td>2417.350098</td>\n",
              "      <td>7.790427</td>\n",
              "      <td>0.003585</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>09-03-2023</th>\n",
              "      <td>2359.250000</td>\n",
              "      <td>7.766099</td>\n",
              "      <td>-0.024328</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10-03-2023</th>\n",
              "      <td>2322.699951</td>\n",
              "      <td>7.750486</td>\n",
              "      <td>-0.015613</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>2024 rows × 3 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-d40159a2-0d8e-477f-b08d-aa8e0b15b037')\"\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 0 24 24\"\n",
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              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
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              "\n",
              "    .colab-df-convert {\n",
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              "      padding: 0 0 0 0;\n",
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              "\n",
              "    .colab-df-convert:hover {\n",
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              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
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              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
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              "      fill: #FFFFFF;\n",
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              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-d40159a2-0d8e-477f-b08d-aa8e0b15b037 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-d40159a2-0d8e-477f-b08d-aa8e0b15b037');\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",
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              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "                  Close  close_log  close_log_diff\n",
              "Date                                              \n",
              "01-01-2015   439.781311   6.086278             NaN\n",
              "02-01-2015   438.617340   6.083627       -0.002650\n",
              "05-01-2015   433.812897   6.072613       -0.011014\n",
              "06-01-2015   414.124512   6.026167       -0.046447\n",
              "07-01-2015   423.139069   6.047701        0.021534\n",
              "...                 ...        ...             ...\n",
              "03-03-2023  2385.399902   7.777122        0.025195\n",
              "06-03-2023  2408.699951   7.786842        0.009720\n",
              "08-03-2023  2417.350098   7.790427        0.003585\n",
              "09-03-2023  2359.250000   7.766099       -0.024328\n",
              "10-03-2023  2322.699951   7.750486       -0.015613\n",
              "\n",
              "[2024 rows x 3 columns]"
            ]
          },
          "execution_count": 14,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "zdYbsZNzUBaM"
      },
      "outputs": [],
      "source": [
        "df['ds'] = df.index\n",
        "df['y'] = df['Close']\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "lkIaRZSyTUc4",
        "outputId": "0efee214-1ef9-498f-d1d8-78551b95ef3d"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n",
            "DEBUG:cmdstanpy:input tempfile: /tmp/tmp_ur7fl1r/3c6a8m8s.json\n",
            "DEBUG:cmdstanpy:input tempfile: /tmp/tmp_ur7fl1r/7by6yo_b.json\n",
            "DEBUG:cmdstanpy:idx 0\n",
            "DEBUG:cmdstanpy:running CmdStan, num_threads: None\n",
            "DEBUG:cmdstanpy:CmdStan args: ['/usr/local/lib/python3.9/dist-packages/prophet/stan_model/prophet_model.bin', 'random', 'seed=71187', 'data', 'file=/tmp/tmp_ur7fl1r/3c6a8m8s.json', 'init=/tmp/tmp_ur7fl1r/7by6yo_b.json', 'output', 'file=/tmp/tmp_ur7fl1r/prophet_modelb3z4zuqs/prophet_model-20230319114428.csv', 'method=optimize', 'algorithm=lbfgs', 'iter=10000']\n",
            "11:44:28 - cmdstanpy - INFO - Chain [1] start processing\n",
            "INFO:cmdstanpy:Chain [1] start processing\n",
            "11:44:29 - cmdstanpy - INFO - Chain [1] done processing\n",
            "INFO:cmdstanpy:Chain [1] done processing\n"
          ]
        },
        {
          "data": {
            "text/plain": [
              "<prophet.forecaster.Prophet at 0x7f9758d79f70>"
            ]
          },
          "execution_count": 16,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "m = Prophet()\n",
        "m.fit(df)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "a7vy6_gITX5U",
        "outputId": "463a59f9-1679-48f0-edba-49ed93a4ab9a"
      },
      "outputs": [
        {
          "data": {
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              "      <th>ds</th>\n",
              "      <th>yhat</th>\n",
              "      <th>yhat_lower</th>\n",
              "      <th>yhat_upper</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
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              "      <th>2049</th>\n",
              "      <td>2023-12-27</td>\n",
              "      <td>2755.086861</td>\n",
              "      <td>2555.196780</td>\n",
              "      <td>2965.302831</td>\n",
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              "    <tr>\n",
              "      <th>2050</th>\n",
              "      <td>2023-12-28</td>\n",
              "      <td>2762.934471</td>\n",
              "      <td>2569.505967</td>\n",
              "      <td>2963.123531</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2051</th>\n",
              "      <td>2023-12-29</td>\n",
              "      <td>2763.644262</td>\n",
              "      <td>2559.987856</td>\n",
              "      <td>2946.243928</td>\n",
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              "    <tr>\n",
              "      <th>2052</th>\n",
              "      <td>2023-12-30</td>\n",
              "      <td>2763.355385</td>\n",
              "      <td>2570.990939</td>\n",
              "      <td>2986.708122</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2053</th>\n",
              "      <td>2023-12-31</td>\n",
              "      <td>2789.482698</td>\n",
              "      <td>2581.096664</td>\n",
              "      <td>3012.648603</td>\n",
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              "\n",
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              "                                                     [key], {});\n",
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              "\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",
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              "  "
            ],
            "text/plain": [
              "             ds         yhat   yhat_lower   yhat_upper\n",
              "2049 2023-12-27  2755.086861  2555.196780  2965.302831\n",
              "2050 2023-12-28  2762.934471  2569.505967  2963.123531\n",
              "2051 2023-12-29  2763.644262  2559.987856  2946.243928\n",
              "2052 2023-12-30  2763.355385  2570.990939  2986.708122\n",
              "2053 2023-12-31  2789.482698  2581.096664  3012.648603"
            ]
          },
          "execution_count": 20,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "future = m.make_future_dataframe(periods=30, freq='D')\n",
        "future.tail()\n",
        "forecast = m.predict(future)\n",
        "forecast[['ds', 'yhat', 'yhat_lower', 'yhat_upper']].tail()\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
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          "base_uri": "https://localhost:8080/",
          "height": 474
        },
        "id": "UxX0yn9aUSLe",
        "outputId": "0f490e45-fb7a-4ee1-a739-1d541c8b0f57"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Bitcoin price forecast (USD)')"
            ]
          },
          "execution_count": 21,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x432 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "fig = m.plot(forecast, xlabel='Date', ylabel='Price (USD)');\n",
        "plt.title('Bitcoin price forecast (USD)')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "T508Jt9sUW8A",
        "outputId": "69287a20-a8e2-4ef1-de85-aec1b3f159ef"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 648x648 with 3 Axes>"
            ]
          },
          "execution_count": 19,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 648x648 with 3 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "m.plot_components(forecast)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "QRF144siUdh7"
      },
      "outputs": [],
      "source": []
    }
  ],
  "metadata": {
    "colab": {
      "provenance": [],
      "authorship_tag": "ABX9TyMohw9tVJkq+BRE9IQ3gM7p",
      "include_colab_link": true
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}