Project_part_1.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "HQWWocQhhWIP"
      },
      "source": [
        "##Team: Ibrahim Alangari and Isaura Arias"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "H2AOMjpobLjY"
      },
      "outputs": [],
      "source": [
        "import pandas as pd"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "l6A23567cDuD"
      },
      "outputs": [],
      "source": [
        "inflation_data=pd.read_csv('/content/QuarterlyAnnualizedPercentChange-2025-q1.csv')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 223
        },
        "id": "W0JksF3JcNDX",
        "outputId": "d8be213b-9958-49fe-b5cd-79097cb69ace"
      },
      "outputs": [
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              "summary": "{\n  \"name\": \"inflation_data\",\n  \"rows\": 23,\n  \"fields\": [\n    {\n      \"column\": \"Label\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"num_unique_values\": 23,\n        \"samples\": [\n          \"1/24/2025\",\n          \"1/15/2025\",\n          \"1/2/2025\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"CPI Inflation\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.17853194837671443,\n        \"min\": 3.222270687,\n        \"max\": 3.852033846,\n        \"num_unique_values\": 23,\n        \"samples\": [\n          3.472156589,\n          3.720399625,\n          3.543667308\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Core CPI Inflation\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.07955578450728837,\n        \"min\": 3.135922127,\n        \"max\": 3.295349081,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          3.135922127,\n          3.295349081\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"PCE Inflation\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.154156198555472,\n        \"min\": 2.371882341,\n        \"max\": 2.979566135,\n        \"num_unique_values\": 23,\n        \"samples\": [\n          2.740426339,\n          2.896731618\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Core PCE Inflation\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.0950995333351419,\n        \"min\": 2.331468923,\n        \"max\": 2.60048288,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          2.60048288,\n          2.453878148\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}",
              "type": "dataframe",
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              "\n",
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              "      <th></th>\n",
              "      <th>Label</th>\n",
              "      <th>CPI Inflation</th>\n",
              "      <th>Core CPI Inflation</th>\n",
              "      <th>PCE Inflation</th>\n",
              "      <th>Core PCE Inflation</th>\n",
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              "      <th>0</th>\n",
              "      <td>1/2/2025</td>\n",
              "      <td>3.543667</td>\n",
              "      <td>3.295349</td>\n",
              "      <td>2.756479</td>\n",
              "      <td>2.600483</td>\n",
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              "      <th>1</th>\n",
              "      <td>1/3/2025</td>\n",
              "      <td>3.701224</td>\n",
              "      <td>3.295349</td>\n",
              "      <td>2.855301</td>\n",
              "      <td>2.600483</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1/6/2025</td>\n",
              "      <td>3.768443</td>\n",
              "      <td>3.295349</td>\n",
              "      <td>2.897449</td>\n",
              "      <td>2.600483</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>1/7/2025</td>\n",
              "      <td>3.357119</td>\n",
              "      <td>3.295349</td>\n",
              "      <td>2.639412</td>\n",
              "      <td>2.600483</td>\n",
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              "      <th>4</th>\n",
              "      <td>1/8/2025</td>\n",
              "      <td>3.462856</td>\n",
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              "      <td>2.705781</td>\n",
              "      <td>2.600483</td>\n",
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            "text/plain": [
              "      Label  CPI Inflation  Core CPI Inflation  PCE Inflation  \\\n",
              "0  1/2/2025       3.543667            3.295349       2.756479   \n",
              "1  1/3/2025       3.701224            3.295349       2.855301   \n",
              "2  1/6/2025       3.768443            3.295349       2.897449   \n",
              "3  1/7/2025       3.357119            3.295349       2.639412   \n",
              "4  1/8/2025       3.462856            3.295349       2.705781   \n",
              "\n",
              "   Core PCE Inflation  \n",
              "0            2.600483  \n",
              "1            2.600483  \n",
              "2            2.600483  \n",
              "3            2.600483  \n",
              "4            2.600483  "
            ]
          },
          "execution_count": 3,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "inflation_data.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "o8c1VUvgejem"
      },
      "outputs": [],
      "source": [
        "#Kept getting errors with the dates format\n",
        "inflation_data['Label'] = pd.to_datetime(inflation_data['Label'], errors='coerce')\n",
        "inflation_data = inflation_data.set_index('Label')"
      ]
    },
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        "id": "Ej-yM399gKVz",
        "outputId": "c7c592b7-86e5-4114-9ebe-9f866621724c"
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        {
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8WDl79qwCKIsXL9ael5mZqYwcOVJxdnZWVCpVjtcjr3+PU6dOKe3bt1esrKwUCwsLpWXLlsrhw4dznJM9lT8oKOipceblactIZFu9erVSu3ZtxdTUVHFwcFD69u2r3L17N8c5AwYMUCwtLR/bxvz585W6desq5ubmirW1tVKjRg3lo48+Uu7du5fjvC1btiiNGzdWzM3NFRsbG6VBgwbKqlWrtPfn5/WOiopShg8frvj6+iqWlpaKra2t0rBhQ2XNmjU5rhUREaF07txZsba2zvV/SoiCUimKjqv8hBAvtLNnz1KrVi2WLVtGv3799B2OEELkIjVHQgidWrBgAVZWVrz66qv6DkUIIfIkNUdCCJ34448/uHTpEvPnz2fEiBGyiakQotiSYTUhhE54enpy//592rdvz/Lly3MsNimEEMWJJEdCCCGEEI+QmiMhhBBCiEdIciSEEEII8QgpyC4gjUbDvXv3sLa2luXqhRBCiBJCURQSEhIoW7Zsrn0D/0uSowK6d++ezvZCEkIIIUTRunPnDu7u7k88R5KjAsqeYXPnzh2d7YkkhBBCiGcTHx+Ph4dHvmbKSnJUQNlDaTY2NpIcCSGEECVMfkpipCBbCCGEEOIRkhwJIYQQQjxCkiMhhBBCiEdIzZEQQojH0mg0pKen6zsMIfLFxMTkqdP080OSIyGEEHlKT08nODgYjUaj71CEyBcDAwMqVqyIiYnJM7UjyZEQQohcFEUhPDwcQ0NDPDw8iuTTuBDPU/YizeHh4ZQvX/6ZFmqW5EgIIUQumZmZJCcnU7ZsWSwsLPQdjhD54uzszL1798jMzMTY2LjQ7chHASGEELmo1WqAZx6eEEKXsn9fs39/C0uSIyGEEI8le0iKkqSofl8lORJCCCGEeIQkR0IIIYSOzJ8/X1vgPmvWLCZOnEitWrWeud2iakdkkeRICKF3E7dcpOE3ezh5+6G+QxGlQEREBCNHjqRSpUqYmpri4eFBly5dCAwM1J7j6emJSqVCpVJhaWlJnTp1WLt2rfb+pyUbISEhqFQqzpw5k++44uPjGTFiBB9//DFhYWEMGTKkME8PlUrFpk2bchz78MMPczw/8WwkORJC6NWFsDiWHA7hfnwaAxcf50JYnL5DEiVYSEgIdevW5a+//uLbb7/l/Pnz7Nixg5YtWzJ8+PAc506aNInw8HBOnz5N/fr16dWrF4cPH35usYWGhpKRkUHnzp1xc3Mr0lmAVlZWODo6Fll7LzpJjoQQejVtxxUATAwNSEjNpN+iY1y7n6DnqERJNWzYMFQqFcePH6dHjx54e3vj5+fHmDFjOHr0aI5zra2tcXV1xdvbmzlz5mBubs4ff/xRqOvu27cPlUpFYGAg9erVw8LCgsaNG3P16lUAlixZQo0aNQCoVKkSKpWKkJCQXO0EBQXRtm1bnJycsLW1pXnz5pw6dUp7v6enJwCvvPIKKpVK+/N/e7o0Gg2TJk3C3d0dU1NTatWqxY4dO7T3Z/d8bdiwgZYtW2JhYUHNmjU5cuRIoZ5/aSPJkRBCbw7fiOLv61EYGajYOLwx/u62PEzOoO/CYwRHJek7PPEIRVFITs/Uy01RlHzFGBMTw44dOxg+fDiWlpa57rezs3vsY42MjDA2Nn7mrVI+/fRTZs6cyYkTJzAyMuLtt98GoFevXuzZsweA48ePEx4ejoeHR67HJyQkMGDAAA4ePMjRo0fx8vKiU6dOJCRkfWAICgoCYPHixYSHh2t//q/Zs2czc+ZMZsyYwblz52jfvj1du3bl+vXrueL98MMPOXPmDN7e3vTu3ZvMzMxneg1KA1kEUgihF4qiMG1n1qfqPg3L41fWlmVvN+CN+Ue5EpFA3wVHWfNeAO72sgBhcZCSoabahJ16ufalSe2xMHn629WNGzdQFAVfX98CtZ+ens7MmTOJi4ujVatWhQ0TgMmTJ9O8eXMAxo0bR+fOnUlNTcXc3Fw77OXs7Iyrq2uej//v9efPn4+dnR379+/n5ZdfxtnZGchK9B7XBsCMGTP4+OOPeeONNwCYNm0ae/fuZdasWcyZM0d73ocffkjnzp0B+PLLL/Hz8+PGjRsFfg1LG+k5EkLoxc6L9zl7JxYLE0NGtvICwM7ChOXvNKSSsyX34lJ5c+ExIuNT9RypKCny28OU7eOPP8bKygoLCwumTZvG1KlTtYlCYfn7+2u/d3NzAyAyMjLfj79//z6DBw/Gy8sLW1tbbGxsSExMJDQ0NN9txMfHc+/ePZo0aZLjeJMmTbh8+XKRxltaSc+REELnMtUaZuzK6jV656WKOFubau9ztjZlxaCG9Jx3hJDoZPouPMbvQxrhaGX6uOaEDpgbG3JpUnu9XTs/vLy8UKlUXLlyJV/n/+9//2PgwIFYWVlRpkyZIllA8NEtK7LbK8jGvQMGDCA6OprZs2dToUIFTE1NCQgIeObhvsd51nhLqxLdczR37lz8/f2xsbHBxsaGgIAAtm/f/sTHzJo1Cx8fH8zNzfHw8OCDDz4gNVU+mQqhSxtOhXEjMhE7C2MGN6uU6343W3NWDmqEq40Z1yMT6f/rceJSMvQQqcimUqmwMDHSyy2/SYuDgwPt27dnzpw5JCXlrlmLjY3N8bOTkxNVqlTB1dW12KwEfujQIUaNGkWnTp3w8/PD1NSUqKioHOcYGxs/cXsMGxsbypYty6FDh3K1Xa1atecSd2lTopMjd3d3pk6dysmTJzlx4gStWrWiW7duXLx4Mc/zV65cybhx4/jiiy+4fPkyixYtYvXq1XzyySc6jlyIF1dqhprv91wDYHiLKtiY5b05pIeDBSsGN8TJyoSL9+IZuPg4iWlSKCqebM6cOajVaho0aMD69eu5fv06ly9f5ocffiAgIEDf4T2Vl5cXy5cv5/Llyxw7doy+fftibm6e4xxPT08CAwOJiIjg4cO81wb73//+x7Rp01i9ejVXr15l3LhxnDlzhtGjR+viaZR4JTo56tKlC506dcLLywtvb28mT56MlZVVruma2Q4fPkyTJk3o06cPnp6etGvXjt69e3P8+HEdRy5E8Zap1vDxunNM23GlwHUcT/Pb0duEx6XiZmtGv4AKTzy3srMVy99piK25MadDYxm0NIjUjGfbUFKUbpUqVeLUqVO0bNmSsWPHUr16ddq2bUtgYCBz587Vd3hPtWjRIh4+fEidOnXo168fo0aNwsXFJcc5M2fOZPfu3Xh4eFC7du082xk1ahRjxoxh7Nix1KhRgx07drBlyxa8vLx08TRKPJVS1H/59EStVrN27VoGDBjA6dOn8+w6XLlyJcOGDWPXrl00aNCAW7du0blzZ/r16/fY3qO0tDTS0tK0P8fHx+Ph4UFcXBw2NjbP7fkIoU9/nL3HyFWnAfiwnTcjWhXNH9T41AyaT9/Lw+QMpvfwp2f93FOZ83L2Tix9Fx4jMS2T5t7OzO9fF1Oj/NWhiMJJTU0lODiYihUrYmZmpu9whMiXJ/3exsfHY2trm6/37xLdcwRw/vx5rKysMDU15b333mPjxo2PHVPt06cPkyZN4qWXXsLY2JjKlSvTokWLJw6rTZkyBVtbW+0tr3UphChtFh8K1n4/Y9c1dlyIKJJ2Fx64xcPkDCo7W/JqnXL5flxNDzsWv1Ufc2ND9l97wKhVp8lUS9GoEOL5KPHJkY+PD2fOnOHYsWMMHTqUAQMGcOnSpTzP3bdvH9988w0///wzp06dYsOGDfz555989dVXj21//PjxxMXFaW937tx5Xk9FiGLh7J1YToXGYmyo4tXaWQnMB6vPcPHes23r8SAhjYUHs5Ku/7X3wciwYH9+6ns6sKB/PUyMDNh58T5j155FrSkVHd9CiGKmxCdHJiYmVKlShbp16zJlyhRq1qzJ7Nmz8zz3888/p1+/fgwaNIgaNWrwyiuv8M033zBlypTHTl00NTXVzobLvglRmmX3Gr3sX5bpr/nT1MuJlAw1g5ee4EFC2lMe/Xg//XWd5HQ1Nd1tae/3+MXrnuQlLyfm9q2DkYGKzWfu8enG80VeEyWEECU+OfovjUaTo0boUcnJyRgY5HzKhoZZdQvyB1YIiIxP5c/z4QC81cQTI0MDfupdh0pOWYsyvrv8BGmZBS+IDo1OZuXxrEXsPu7g+0zTpltXLcPsN2pjoILfg+4wYfNF6UESQhSpEp0cjR8/ngMHDhASEsL58+cZP348+/bto2/fvgD079+f8ePHa8/v0qULc+fO5ffffyc4OJjdu3fz+eef06VLF22SJMSL7Lejt8lQK9SrYI+/ux0AthbGLBxQDxszI06FxjJ+Q8F7a77fc40MtUJTLycaV3F65jg7+7sx/bWaACw/epshy06QkCrrIAkhikaJXiE7MjKS/v37Ex4ejq2tLf7+/uzcuZO2bdsCEBoamqOn6LPPPkOlUvHZZ58RFhaGs7MzXbp0YfLkyfp6CqVeVGIauy9lbRMxoLEnVd1kWLK4Ss1Qs+JYVu/OW00q5rivkrMVc/rWYeDiIDacCsPX1ZohzSrnq93L4fFsOhMGwEfti26/ptfqumNqZMCHa88SeCWS1+YeYeGAeng4yF5sQohnU2qm8utKQaYCvqjuPkxm58X77LwYQVBIDNm/Ye39yjCvXz39Bicea82JO3y07hxlbc048FHLPAumlx4O4YstF1GpYGH/erSuWuap7b6zJIjAK5F09ndjTp86RR73mTuxDFl2gsiENBwsTZjXry71PR2K/DovGpnKL0oimcovipUbkYnM2XuDLj8e5KVpe/lq6yWOB2clRhUcsz7JX41I0HOU4nEURWHxoRAA+gV4PnYmWf+ACvRpWB5FgVGrTj/13zQoJIbAK5EYGqgY29a7qMMGoJaHHZtHNKF6ORtiktLps+Aoa0/IrFIhROGV6GE1oT+KonDxXjw7LkSw42IENyITtfcZqLKmXXeo7ko7P1dMDA2oP3kPt2OSSc1QY5bPTSSF7hwLjuFyeDxmxgb0bvD4tbxUKhVfdvXj1oNEjt6KYdCyIDYPfwkHS5Nc5yqKwrTtWRuA9qznQSVnq+cWv5utOWveDeDDtWfZdj6C/607x43IRD7q4IuhQfHYM0sIUXJIz5HIN7VGISgkhq+2XuKlaXt5+ceD/LT3BjciEzE2VNHCx5mpr9bg+KdtWP1uAG81qUg5O3OcrExwsDRBUciRRIniI3v6/iu13bGzyJ3oPMrY0IC5fetS3sGCOzEpDP3tJOmZuZfC+OtKJCduP8TUyIDRrZ//lgUWJkb81LsOo1pVAWDegVsMWXZC9mMT4gmSk5Pp0aMHNjY2qFQqYmNj8fT0ZNasWc/cdlG1ow+SHIknSs/UsP/aA8ZvOE/DbwJ5/ZcjLDoYTFhsCubGhnSq4crsN2px8vO2LHmrAW80KI+TlWmONlQqFV4uWb0G1+7L0Fpxcycmmd2X7gNZ0/fzw97ShIUD6mFlasSx4Bi+2HIhxww2tUZh+o6r/7RZEVdb3dSsGBioGNPOh9lv1MLEyIDAK5H0+Pkwd2KSdXJ9UTxEREQwcuRIKlWqhKmpKR4eHnTp0oXAwEC9xbR37146deqEo6MjFhYWVKtWjbFjxxIWljVZYd++fahUKu2tTJky9OjRg1u3bmnbeFqyMXHiRGrVqlWguJYuXcrff//N4cOHtZObCmrJkiXY2dnlOh4UFMSQIUMK3F5xIMNqIpeUdDX7rz1g58UI9ly+T0Lqv5+8bcyMaFOtDB38XGnm7ZzvITIfV2uOBcdwVZKjYmfZkRA0CrxUxQnvMtb5fpx3GWt+7F2bt5cGser4HbzLWGtnuW05G8bV+wnYmBkxtHn+ZrUVpW61ylHB0ZLBy05w9X4C3ecc4hcp1H4hhISE0KRJE+zs7Pj222+pUaMGGRkZ7Ny5k+HDh3PlypVCtZueno6JyZN7VR9n3rx5DBs2jAEDBrB+/Xo8PT0JDQ1l2bJlzJw5k++++0577tWrV7G2tub69esMGTKELl26cO7cuee23MzNmzepWrUq1atXL/K2nZ2di7xNXZGeIwFAXEoGm06H8d7yk9T+ahfv/XaSjafDSEjNxMnKlL4Ny7P8nQac/Lwt3/WsRTs/1wLVDnn986Z7/b4MqxUnSWmZ/B6UVbyc316jR7X0deGTjlUB+GrrJQ5ce0B6poaZu64B8F6LythaGBdZvAVRy8OOLSOa4FfWhuikdPouOMa6k3f1EovQnWHDhqFSqTh+/Dg9evTA29sbPz8/xowZw9GjR7XnhYaG0q1bN6ysrLCxsaFnz57cv39fe392L8zChQtzzHyKjY1l0KBBODs7Y2NjQ6tWrTh79uxj47l79y6jRo1i1KhR/Prrr7Ro0QJPT0+aNWvGwoULmTBhQo7zXVxccHNzo1mzZkyYMIFLly5x48aNQr0WAwcOpHv37syYMQM3NzccHR0ZPnw4GRlZa4K1aNGCmTNncuDAAVQqFS1atMizne+++44aNWpgaWmJh4cHw4YNIzEx62/5vn37eOutt4iLi9P2ek2cOBHI3dOV39d8+fLleHp6YmtryxtvvEFCgu4/VEvP0Qssew2iHRciOHwzigz1v8Mi7vbmdPBzpUN1V2qXt3/molaff5IjmbFWvGw4dZeE1Ew8HS1o6eNSqDYGNa3I1fsJrDt5l+ErT/FaXXfuPkzBxdqUtxpXfHoDz5GbrTlr3wtg7JqzbL8QwYdrz3L9foIUaheGokCGnoYnjS0gH6uqx8TEsGPHDiZPnoylpWWu+7OHfjQajfZNev/+/WRmZjJ8+HB69erFvn37tOffuHGD9evXs2HDBm3Pzeuvv465uTnbt2/H1taWefPm0bp1a65du4aDQ+6eybVr15Kens5HH32UZ8x5DUdlMzc3B7J6rQpr7969uLm5sXfvXm7cuEGvXr2oVasWgwcPZsOGDYwbN44LFy6wYcOGx/aMGRgY8MMPP1CxYkVu3brFsGHD+Oijj/j5559p3Lgxs2bNYsKECVy9mjWUbmWVe/JFfl/zmzdvsmnTJrZu3crDhw/p2bMnU6dO1fl6hJIcvWAetwYRgHcZKzr4Zc0w8ytr80xbPPyXd5ms/yxhsSkkpmViZSq/evqm0SgsPhwCwMDGnhgUMllQqVRMfqU6wVFJnLz9ULskwKjWXpib6H9mooWJEXP61OH7Pdf48a8bzDtwi5sPEpn1Rm35PSyIjGT4pqx+rv3JPTDJnez8140bN1AUBV/fJy82GhgYyPnz5wkODsbDI2t25rJly/Dz8yMoKIj69esDWUnJsmXLtMNDBw8e5Pjx40RGRmJqmlVbOWPGDDZt2sS6devyrK+5fv06NjY2uLm5Fegph4eHM2PGDMqVK4ePj0+BHvsoe3t7fvrpJwwNDfH19aVz584EBgYyePBgHBwcsLCwwMTEBFfXx+93+P7772u/9/T05Ouvv+a9997j559/xsTEBFtbW1Qq1RPbyO9rrtFoWLJkCdbWWR+o+/XrR2BgoCRHoujdiExk58UIdlyI4HxYzp3Va7rb0r66K+39XKn8HKda21mY4GJtSmRCGtfvJ1C7vP1zu5bInwPXH3DrQRLWpka8Vu/x0/fzw9TIkF/erEv3OYcIi03B09GCXvWfrc2iZGCgYmw7H6q4WPG/defYczmS1+YeZkF/WVG7NMnvmsaXL1/Gw8ND+yYNUK1aNezs7Lh8+bL2jbpChQo56mbOnj1LYmIijo6OOdpLSUnh5s2bj42pIB803d3dURSF5ORkatasyfr16wtd6wTg5+eXo17Jzc2N8+fPF6iNPXv2MGXKFK5cuUJ8fDyZmZmkpqaSnJyMhUX+/v/k9zX39PTUJkbZ8UZGRhYo3qIgyVEpVJA1iMrZmessLh9XayIT0rgmyVGxkN3D83o9jyLpQXG2NmXxW/WZuesqg5pWwvgxC0nqU7da5SjvYMGQ5Se5EpFVqD2vX13qSaH20xlbZPXg6Ova+eDl5YVKpSp00fV//XdoLjExETc3txzDQNkeNzzm7e1NXFwc4eHh+eo9+vvvv7GxscHFxSVHklBYxsY5a/5UKhUaTe6lNx4nJCSEl19+maFDhzJ58mQcHBw4ePAg77zzDunp6flOjnQVb1GR5KiUUGsUToU+zEqILkQQFpuivc/YUEWTKk508HOlTbUyuaba64qXizV/X4/imhRl692NyET2X3uASpU1pFZUvMtYF/stYmqXt2fz8CYMWnqCS+Hx9FlwjG9ercFrdd31HVrxplLla2hLnxwcHGjfvj1z5sxh1KhRuZKb2NhY7OzsqFq1Knfu3OHOnTvanoxLly4RGxtLtWrVHtt+nTp1iIiIwMjICE9Pz3zF9NprrzFu3DimT5/O999/n+v+7JiyVaxY8Yl1SLp28uRJNBoNM2fO1O5VumbNmhznmJiYoFarn9hOYV9zfZHkqIRLTs9k+o6rbD0XTlRimva4ubEhLX2dae/nSktfF2zM9DNj6FE+rrLWUXGx9J9ao9a+ZSjv+OINK5W1M2fd0ADGrD7LjotZhdo3IhP5qL1PoWuvRPEwZ84cmjRpQoMGDZg0aRL+/v5kZmaye/du5s6dy+XLl2nTpg01atSgb9++zJo1i8zMTIYNG0bz5s2pV+/xyX2bNm0ICAige/fuTJ8+HW9vb+7du8eff/7JK6+8kudjPTw8+P777xkxYgTx8fH0798fT09P7t69y7Jly7CysmLmzJnP8yV5JlWqVCEjI4Mff/yRLl26cOjQIX755Zcc53h6epKYmEhgYCA1a9bEwsIiV49SYV9zfSl+/d6iQL7bdY0lh0OISkzDxsyIV+uUY36/upye0Jaf+9alW61yxSIxgn+n88uMNf2KS8lg/amsKe1vF2L6fmlhYWLEz33rMKJl1orav+y/ybu/nSRJVtQu0SpVqsSpU6do2bIlY8eOpXr16rRt25bAwEDmzp0LZA3VbN68GXt7e5o1a0abNm2oVKkSq1evfmLbKpWKbdu20axZM9566y28vb154403uH37NmXKPH4T5mHDhrFr1y7CwsJ45ZVX8PX1ZdCgQdjY2PDhhx8W6fMvajVr1uS7775j2rRpVK9enRUrVjBlypQc5zRu3Jj33nuPXr164ezszPTp03O1U9jXXF9USn4r2ARQsF19n7eE1AwCpvxFYlom37xSg9fruRfLOo9sCakZ1Ji4C4AzE9o+dZsK8XwsOHCLydsu41PGmh3vNy3SWYkl1eYzYfxv3TnSMzX4ulqzcEA93O1fvB61Rz1pd3Mhiqsn/d4W5P27+L6TiqdaHXSHxLRMKjtb8kZ9j2KdGAFYmxlrC8Cl7kg/MtUalvwzpPZWE09JjP7RrVY5Vg9phJOVqbZQ++Tth/oOSwihJ8X73VQ81qNvcu+8VKnE1Elkr3ckdUf6sefyfcJiU7C3MKZ77XL6DqdYqV3eni0jmlDNzYaoxHR6zz/KhlOyorYQLyJJjkqoXZfuc/dh1pvcq3VKzpuct2tW3ZEkR/rx6z/T9/s0LF+g7V9eFNmF2u39ypCu1jBmzVmm7biCRiPVB0K8SCQ5KqEW/p21U3O/RhVK1Juct4skR/py8V4cx4NjMDJQ0a+Rp77DKbYsTIyY27eutlB77j4p1BbiRSPJUQl0KvQhp0JjMTE04M2ACvoOp0B8XP+dsSZzAXQre9HHjjXccLWVAtsnMTBQ8WF7H2b1qoWJkQG7L93ntV+O5Fg/TAhReklyVAItOhgMQNdaZXGxLllvcpWdrVCp4GFyBlGJhd9MURRMVGIaW85krW781gs8fb+gutcux+//FGpfDo+n208HpVBbiBeAJEclzJ2YZLafDwfgnZf0u+N5YZibGFLhn72srsvQms6sPBZKulpDTQ876sjWLQVSp7w9m0c0oeojhdobT0uhthClmSRHJczSwyFoFHipihNV3fS7zlJhaReDlORIJ9IzNSw/eht4sRd9fBbl7MxZ914A7aplFWp/sPos06VQW4hSS5KjEiQhNYPfg+4AJbPXKJtPmeyibFnrSBe2nQ/nQUIaLtamdKz+9I0vRd4sTY345c26DG9ZGYCf993kPSnUFqJUkuSoBFlz4q520cfm3s76DqfQZDq/7oRGJzN9R9YO5f0aVcDESP7LPwsDAxX/a+/L971qYmJkwC4p1BbPSFEUhgwZgoODAyqVijNnztCiRQvef//9Z267qNp5EclfyhIiU61h8aGsQuyStOhjXrQLQcqMtecqOCqJnvOOcC8ulUpOlvQP8NR3SKXGK7XdWTW4EU5WJv8UasuK2sXFwIEDUalUqFQqTExMqFKlCpMmTSIz898ePkVRmD9/Pg0bNsTKygo7Ozvq1avHrFmzSE5OBmDixInadh69+fr6PvbaS5Yswc7OrkDx7tixgyVLlrB161bCw8OpXr16gZ/zvn37UKlUxMbG5ji+YcMGvvrqqwK3JyQ5KjFK6qKPeankZIWRgYqEtEwi4lP1HU6pdCMygV7zjhARn4qXixW/v9sIW4visQFxaVG3gj2bR7z0T6F2Gr0XHGXT6TB9hyWADh06EB4ezvXr1xk7diwTJ07k22+/1d7fr18/3n//fbp168bevXs5c+YMn3/+OZs3b2bXrl3a8/z8/AgPD89xO3jwYJHGevPmTdzc3GjcuDGurq4YGRkVWdsODg5YW1sXWXsvEkmOSojsRR/fLGGLPubFxMgATydLIGu9I1G0rkYk8Mb8o0QmpOHras2qIY1K3JIPJUV2oXbbamVIz9Tw/uozfLtTCrX1zdTUFFdXVypUqMDQoUNp06YNW7ZsAWDNmjWsWLGCVatW8cknn1C/fn08PT3p1q0bf/31Fy1bttS2Y2RkhKura46bk5NTvuOYOHEitWrVYvny5Xh6emJra8sbb7xBQkLW372BAwcycuRIQkNDUalUeHp65tnO8uXLqVevHtbW1ri6utKnTx8iIyMBCAkJ0cZsb2+PSqVi4MCBQO5htYcPH9K/f3/s7e2xsLCgY8eOXL9+XXt/ds/Xzp07qVq1KlZWVtpE80UjyVEJ8Oiij/1K2KKPj5NdlH1dirKL1KV78fRecJSoxHSqudmwcnDWGj3i+bE0NWLem3UZ2iKrUHvO3psMXVH6CrUVRSE5I1kvt2cdfjc3Nyc9PWtdtRUrVuDj40O3bt1ynadSqbC1tX2ma/3XzZs32bRpE1u3bmXr1q3s37+fqVOnAjB79mwmTZqEu7s74eHhBAUF5dlGRkYGX331FWfPnmXTpk2EhIRoEyAPDw/Wr18PwNWrVwkPD2f27Nl5tjNw4EBOnDjBli1bOHLkCIqi0KlTJzIyMrTnJCcnM2PGDJYvX86BAwcIDQ3lww8/LMJXpGQouv47PZg7dy5z584lJCQEyOoCnTBhAh07dnzsY2JjY/n000/ZsGEDMTExVKhQgVmzZtGpUycdRV1wJXnRx8fxKmMF52U6f1E6fzeONxcdIy4lA393W5a93QA7CxN9h/VCMDBQ8XEHX7xcrBi3/jw7L97n9V+OsHBAPcrames7vCKRkplCw5UN9XLtY32OYWFsUeDHKYpCYGAgO3fuZOTIkQBcv34dHx+ffD3+/PnzWFlZ5Tj25ptv8ssvv+Q7Bo1Gw5IlS7TDW/369SMwMJDJkydja2uLtbU1hoaGuLq6PraNt99+W/t9pUqV+OGHH6hfvz6JiYlYWVnh4OAAgIuLy2Nrnq5fv86WLVs4dOgQjRs3BrISRQ8PDzZt2sTrr78OZCViv/zyC5UrZyX7I0aMYNKkSfl+vqVFiU6O3N3dmTp1Kl5eXiiKwtKlS+nWrRunT5/Gz88v1/np6em0bdsWFxcX1q1bR7ly5bh9+3aBC+h0qaQv+vg4//YcSXJUFE6HPqT/r8dJSM2kdnk7lr7dABszqTHStVfruFPB0YJ3l5/kUng8XX86xPz+dWXhTR3bunUrVlZWZGRkoNFo6NOnDxMnTgQoUC+Uj4+Pdjgum41NwdaX8/T0zFH34+bmph0Sy6+TJ08yceJEzp49y8OHD9FoNACEhoZSrVq1fLVx+fJljIyMaNjw3wTX0dERHx8fLl++rD1mYWGhTYwKG29pUKKToy5duuT4efLkycydO5ejR4/mmRz9+uuvxMTEcPjwYYyNs944HjfGW1xkL/rYpIpjiV30MS//TudPRKNRSvTsO307ERLDwMVBJKZlUt/Tnl8H1sdaEiO9qVvBgU3DmzBo6Qmu/FP/9e1r/nSrVbInUpgbmXOszzG9XbsgWrZsydy5czExMaFs2bI5ipy9vb25cuVKvtrJnu32LLLfa7KpVCptcpMfSUlJtG/fnvbt27NixQqcnZ0JDQ2lffv22qHCopRXvC/irOJSU3OkVqv5/fffSUpKIiAgIM9ztmzZQkBAAMOHD6dMmTJUr16db775BrVa/dh209LSiI+Pz3HTlYTUDFb/s+jjoJcq6ey6ulDBwQITQwNSMtTcfShrxBTWsVvR9P/1OIlpmTSq5MCStxpIYlQMuNtbsH5oY9pUzSrUHv17yS/UVqlUWBhb6OWmUhXsw5OlpSVVqlShfPnyuWZ/9enTh2vXrrF58+Zcj1MUhbi4uGd6nYralStXiI6OZurUqTRt2hRfX99cPTkmJlnD5096L6tatSqZmZkcO/ZvghsdHc3Vq1fz3fv0IinxyVH2mLCpqSnvvfceGzdufOw/9K1bt1i3bh1qtZpt27bx+eefM3PmTL7++uvHtj9lyhRsbW21Nw8Pj+f1VHJZc+IuCaVg0ce8GBkaUNnln/WOZGitUA7diGLA4uMkp6t5qYoTiwc2wNK0RHcGlyqWpkbM71eX95rnLNROTi9dhdolTc+ePenVqxe9e/fmm2++4cSJE9y+fZutW7fSpk0b9u7dqz03MzOTiIiIHLf79+/rNN7y5ctjYmLCjz/+yK1bt9iyZUuutYsqVKiASqVi69atPHjwgMTE3BNdvLy86NatG4MHD+bgwYOcPXuWN998k3LlyuVZnP6iK/HJkY+PD2fOnOHYsWMMHTqUAQMGcOnSpTzP1Wg0uLi4MH/+fOrWrUuvXr349NNPn1hcN378eOLi4rS3O3fuPK+nksOjiz6+/VLFUjnslL0YpBRlF9z+aw94e0kQqRkaWvg4s3BAPcxNSvYSD6WRgYGKcR19mfl6TUwMDdh58T6vzT3CPVlRW29UKhUrV67ku+++Y9OmTTRv3hx/f38mTpxIt27daN++vfbcixcv4ubmluNWoYJuZww7OzuzZMkS1q5dS7Vq1Zg6dSozZszIcU65cuX48ssvGTduHGXKlGHEiBF5trV48WLq1q3Lyy+/TEBAAIqisG3btlxDaQJUSikbTGzTpg2VK1dm3rx5ue5r3rw5xsbG7NmzR3ts+/btdOrUibS0NG3X5JPEx8dja2tLXFxcgQvzCmLb+XCGrTiFvYUxh8e1LpVvfHP23uDbnVfpXqsss96ore9wSozAy/cZ+tsp0tUa2lR1YU7fOpgalb7fj9Lm5O0Yhiw7SXRSOs7WpszvV5faxbhQOzU1leDgYCpWrIiZWemYJStKvyf93hbk/bvE9xz9l0ajIS0tLc/7mjRpwo0bN3IUw127dg03N7d8JUa6lD19/81GFUplYgTg/c+Mtauy1lG+7bwYwXu/nSRdraGDnys/960riVEJUbeCA5tHNMHX1ZoHCWn0mn+UzWdkRW0hiqMSnRyNHz+eAwcOEBISwvnz5xk/fjz79u2jb9++APTv35/x48drzx86dCgxMTGMHj2aa9eu8eeff/LNN98wfPhwfT2FPJ0KfcjJ2w9L1aKPecmezn/zQSKZ6vzP3nhR/XkunOErTpGhVnjZ340f+9SWjWRLGHd7C9b9p1B75q6rJbpQW4jSqET/ZY2MjKR///74+PjQunVrgoKC2LlzJ23btgWy1oB4dNlzDw8Pdu7cSVBQEP7+/owaNYrRo0czbtw4fT2FPGX3GnWpWXoWfcyLu7055saGpGdquB2TrO9wirXNZ8IYueoUmRqFV2qXY1avWhgbluj/vi8sK1Mj5vWry7vNs2ag/vjXDYavPCWF2kIUIyV6asuiRYueeP++fftyHQsICODo0aPPKaJnd/dh6Vz0MS8GBiq8ylhx7m4c1yISqOxs9fQHvYDWnbzLR+vOolHg9bruTO3hj2EpLNB/kRgaqBjfsSpeLtZ8suE82y9EEBqTzMIB9XCzLR0ragtRkslHz2Lm0UUfq5UtPYs+Pk523dE1qTvK0+/HQ/nfP4lR7wblmSaJUanyWl13Vg5uiKOlCRfvZa2ofeZOrL7DEuKFJ8lRMZKQmsHvx0vnoo+Pkz2dX9Y6ym350duM23AeRYH+ARWY3L16qVzS4UVXzzNrRW1tofa8I2w5e0/fYQnxQivRw2qlTfaij5VK4aKPj/Nvz5EkR4/69WAwk7Zmrdf1dpOKfP5y1QKvEixKDg+HrELt938/zZ7LkYxadZob9xMY1rIKZsZFPxsxQ63hRmQiF+/Fc/FeHFcjEqjpYcdH7X3k90wIJDkqNh5d9PGdUrroY16yk6PgqCTSMtUyLR2Yf+Am32zL2vvp3eaVGNfBV96wXgBZhdr1mL7zCvP23+KHv27w494blLU1p4KjBRUcLanolPXV09GSCo4W+UqcktIyuRwez8V78Vy6F8/F8DiuRSSS/p8ZoodvRqPRKIzvVPV5PUUhSgxJjoqJk7cfcvdhCvYWxrxa213f4eiMm60Z1qZGJKRlEhyVhK9r6a+zepLshTEBRraqwpi23pIYvUAeLdSe/OclHiZnEBabQlhsCodvRuc6383WjAqOFng6WuLpZImnowWmxoY5kqGQ6CTyWurX2tSIqmVt8Ctrg5mxIXP33WTegVs4WJrwbvPKuR8gxAtEkqNiomElR/aMaUZwVHKpXfQxLyqVCm9Xa07efsi1+4kvbHKkKAqzA68za891AMa09WZUay89RyX05bW67vSoU47opHRuRycREpVMSHQSIdHJ3I5OIjgqiYTUTMLjUgmPS+XorZgntudqY0a1fxIhv7I2VHOzxcPBPEfibWduzJTtV5iy/QoOliZ0qf5iDO2L3K5cucLAgQM5c+YMvr6+bNq0iYoVK3L69Glq1apV6HZDQkKKpB1dkOSoGKniYk0VF2t9h6Fz3mWsspKjiASoqe9odE9RFGbuusZPe28A8FEHH4a1qKLnqIS+qVQqnKxMcbIypW4Fhxz3KYrCw+QMQqKTtMnT7egkgqOTSUnPxMc1OwmyoVpZG5ysTJ96vXebVyY6KZ35B24xbsN5HMz8KVtCP6dFREQwefJk/vzzT8LCwnBxcaFWrVq8//77tG7dWufxPJqE2tjYUL16db766itatWpVoJg9PT25fft2rvanTJny2PX6WrRoQa1atZg1a1a+4/3iiy+wtLTk6tWrWFlZkZBQ8JrQgQMHEhsby6ZNm7THPDw8CA8Px8nJqcDt6ZokR0LvXuSibEVRmLr9CvMO3ALgs85VGdT0xZipKApPpVLhYGmCg6UJdYpwf7bxHX2JSUpn3cm7fL31Et93LldkbetKSEgITZo0wc7Ojm+//ZYaNWqQkZHBzp07GT58OFeuXClUu+np6c+0zdTixYvp0KEDUVFRfPrpp7z88stcuHCBSpUqFSjmSZMmMXjw4BxtW1sX7Yfqmzdv0rlzZ+0mu4VJjvJiaGiIq6trkbT1vMlUfqF3L2pypCgKk7Ze0iZGX3b1k8RI6JVKpWLqqzVoU9WFdLWG6MQ0UtPV+g6rQIYNG4ZKpeL48eP06NEDb29v/Pz8GDNmTI4FgENDQ+nWrRtWVlbY2NjQs2dP7t+/r71/4sSJ1KpVi4ULF+bYxDQ2NpZBgwbh7OyMjY0NrVq14uzZs0+Ny87ODldXV6pXr87cuXNJSUlh9+7dBYoZshIhV1fXHDdLS8t8vz6enp588803vP3221hbW1O+fHnmz5+vvV+lUnHy5EkmTZqESqVi4sSJudpQq9W88847VKxYEXNzc3x8fJg9e3aO127p0qVs3rwZlUqFSqVi3759hISEoFKpOHPmjPbc/fv306BBA0xNTXFzc2PcuHFkZv67WnyLFi0YNWoUH330EQ4ODri6uuYZU1GT5EjoXXZydDsmmdSMkvWHuLA0GoXPN19g8aEQACa/Up0BjT31GpMQAEaGBvzUpw7Vy9miUeBubAppmWoURUGTnKyXm5JXRXkeYmJi2LFjB8OHD88zYbCzswOyNijv1q0bMTEx7N+/n927d3Pr1i169eqV4/wbN26wfv16NmzYoH1Df/3114mMjGT79u2cPHmSOnXq0Lp1a2Jinlz39Shz86xV0NPT0/Mdc1GaOXMm9erV4/Tp0wwbNoyhQ4dy9WrWRJDw8HD8/PwYO3Ys4eHhfPjhh7ker9FocHd3Z+3atVy6dIkJEybwySefsGbNGgA+/PBDevbsSYcOHQgPDyc8PJzGjRvnaicsLIxOnTpRv359zp49y9y5c1m0aBFff/11jvOWLl2KpaUlx44dY/r06UyaNEmbWD4vMqwm9M7JKmt4ICYpnRuRiVQvZ6vvkJ4rjUbhk43n+T3oDioVTHvVn571PfQdlhBaZsaGfN29Ohev3kCt0RAclURFSwNu1a+vl3h8Tp1EZWHx1PNu3LiBoij4+vo+8bzAwEDOnz9PcHAwHh5Z//eWLVuGn58fQUFB1P/neaanp7Ns2TKcnbOK0w8ePMjx48eJjIzE1DSrjmvGjBls2rSJdevWMWTIkKfGmJyczGeffYahoSHNmzfPd8zZPv74Yz777LMcx7Zv307Tpk3z9XiATp06MWzYMG1733//PXv37sXHxwdXV1eMjIywsrLSDoFFRUXleLyxsTFffvml9ueKFSty5MgR1qxZQ8+ePbGyssLc3Jy0tLQnDqP9/PPPeHh48NNPP6FSqfD19eXevXt8/PHHTJgwAQODrP4bf39/vvjiCwC8vLz46aefCAwM1O6j+jxIciT0TqVS4eVixbHgGK5GJJTq5EitUfho3TnWn7qLgQpm9qzJKy/Q0g2i5LA2M8bJyhQDQ4OszaGjU/Ud0lPlt4fp8uXLeHh4aBMjgGrVqmFnZ8fly5e1yVGFChW0iRHA2bNnSUxMxNHRMUd7KSkp3Lx584nX7N27N4aGhqSkpODs7MyiRYvw9/fn2LFj+X16APzvf/9j4MCBOY6VK1ew2jB/f3/t9yqVCldXVyIjIwvUxpw5c/j1118JDQ0lJSWF9PT0As9Au3z5MgEBATkK1ps0aUJiYiJ3796lfPnyueIFcHNzK3C8BSXJkSgWfFytORYcw7XI0lt3lKnWMHbtWTafuYehgYrve9Wia82y+g5LiMcyNFBRzs6cuwlqUg2Nsdh1AE8HC50vUqsyz99mvF5eXqhUqkIXXf/Xf4e5EhMTcXNzy3NT86cNf33//fe0adMGW1vbHAlXQWN2cnKiSpVnm81qbGyc42eVSoVGo3nM2bn9/vvvfPjhh8ycOZOAgACsra359ttvC5zo5dezxlsYkhyJYsEruyg7onQmRxlqDe//foY/z4djZKDix9616VjDTd9hCfFUJsaGVHQy5daDJJIVY+6mQgVH82K5OKmDgwPt27dnzpw5jBo1KldyExsbi52dHVWrVuXOnTvcuXNH23t06dIlYmNjqVat2mPbr1OnDhERERgZGeHp6Vmg2FxdXfNMavIbc3Fy6NAhGjdurB2aA3L1nJmYmKBWP7mGtGrVqqxfvx5FUbS/T4cOHcLa2hp3d/32qEtBtigWfLQz1hL1HEnRS8/UMHzFKf48H46xoYqf+9aRxEiUKOYmRlRwtESlUhGfmkHYw5R8D2Hp2pw5c1Cr1TRo0ID169dz/fp1Ll++zA8//EBAQAAAbdq0oUaNGvTt25dTp05x/Phx+vfvT/PmzalXr95j227Tpg0BAQF0796dXbt2ERISwuHDh/n00085ceLEc405W0JCAhERETlu8fHxhb52YXh5eXHixAl27tzJtWvX+PzzzwkKCspxjqenJ+fOnePq1atERUWRkZGRq51hw4Zx584dRo4cyZUrV9i8eTNffPEFY8aM0dYb6YskR6JY8C5jBUBYbAoJqbn/E5VUqRlq3vvtJLsu3cfEyID5/erRzq9krPMhxKOszIwo72CBCohJTud+fPGsQapUqRKnTp2iZcuWjB07lurVq9O2bVsCAwOZO3cukDUss3nzZuzt7WnWrBlt2rShUqVKrF69+oltq1Qqtm3bRrNmzXjrrbfw9vbmjTfe4Pbt25QpU+a5xpxtwoQJuLm55bh99NFHhb52Ybz77ru8+uqr9OrVi4YNGxIdHZ2jFwlg8ODB+Pj4UK9ePZydnTl06FCudsqVK8e2bds4fvw4NWvW5L333uOdd97JVXCuDyqluKb/xVR8fDy2trbExcVhY/NibnXxvDSYvIfIhDQ2DGtcpAvb6Utqhpohy09y4NoDTI0MWNC/Hs28ZUsGUTKkpqYSHBycY40fgJikNO4+TAHAzdYcZ+unr74thK487vcWCvb+LTVHotjwcbUmMiGN6/cTSnxylJyeyaClJzh8MxpzY0MWDahH4yrFf8l8IZ7GwdKUTI1CRFwq4XEpPExOx9BAhaFKlfX1v7c8jhsUw3olIR4lyZEoNrxcrPn7ehRXI56t7ii7M1RfBaOJaZm8vSSI48ExWJoYsvitBjSo6PD0BwpRQjhbmaLWKDxISCvUwq0GqicnT5JYCX2T5EgUGz6uWXVH159hOn9UYhqv/HwIJytTVg8JwMRIt2V1CakZDFwcxMnbD7E2NWLJ2/VzbRoqREmnUqlwszXH3sKEDLUGtUbJuinKv98/envkOIBGUdCoFQqzIH6+EqtHjhsbqjAxKqE76Aq9keRIFBvZ0/mvPsN0/gmbL3AnJoU7MSn8eiiY95pXLqrwniouJYMBvx7nzJ1YbMyMWPZOQ2p52Ons+kLompmxIWbG+U88FOUJSdRzTKzK2JhRxsbs6ScK8Q9JjkSx4eWS1XMUmZBGbHI6dhYF2wH7z3PhbDsfof159p7rdK1ZlrJ2+VtA7lnEJqfTb9FxzofFYWdhzG/vNCzVK32LF0dRztlRqVQYGaoK9cajKFmJkuY/yVPmU5Kq9EwNkfGpWJsZYWEib3mlXVH9vspUflFsWJsZU+6fRKag6x1FJ6YxYfMFAEa2qkJ9T3tSMtR8tfVSkcf5XzFJ6fRecIzzYXE4WJqwanAjSYxEiWdomNUjlJ6erudIsqhUKowMDDAxMsTcxAgrM2NsLUxwtDTFxdoMN1tz3O0tqOBoSSVnK7xcrPF1tcHOwgQFuPswBY1Mzi71sn9fs39/C0vSaFGseJexIiw2hav3EwpUxDzxj0tEJ6XjU8aaka286OzvRucfDrL9QgT7rz2g+XOaQv8gIY03Fx7j6v0EnKxMWTm4Id7/DA8KUZIZGRlhYWHBgwcPMDY21vuifIXlYArxiZmkpKRzL1qDk5UsPVBaaTQaHjx4gIWFBUZGz5beSHIkihVvV2v2Xn3A9fv5rzvacSGCP85m7Vf27ev+mBgZ4Otqw8DGniw6GMwXmy+w84NmmBZxUWZqhpq3lhzn6v0EytiYsnJwIyo7WxXpNYTQF5VKhZubG8HBwdy+fVvf4TyT9HQ10UnpPABcbEwxNiyZiZ54OgMDA8qXL//Ms5UlORLFirdLwYqyHyal89mmrOG0d5tVwt/dTnvf+228+OPsPUKik5m//xYjW3sVaawTt1zkQlg8DpYm/D4kgIpOlk9/kBAliImJCV5eXsVmaK2wFEXhiy0XOXQjCq8yVvzUuw5GkiCVSiYmJkXSyynJkShWfFyz91hLyLEZ4eN8+cdFohLT8HKxYnSbnMmPtZkxn71cjVGrTvPT3ht0r10ODweLIolz7Yk7/B50B5UKZr9RSxIjUWoZGBjkWmm4JPqwY3V2fn+AfTfiWBZ0j2Etnm1ne1G6SeosipXKzlaoVPAwOYOoxCd/Wt196T6bztzDQAXfvl4zz2GzLv5uBFRyJC1Tw5d/XCySGC+Hx2t7q95v7U1TL9kSRIjizsXGjAkvVwNg1p7r3HiG9dRE6Veik6O5c+fi7++PjY0NNjY2BAQEsH379nw99vfff0elUtG9e/fnG6QoEHMTQyr807tz7Ql1R3HJGXy68TwAg5tVeux6QiqViq+6+2FsqGLP5Uj2XLr/TPHFp2Yw9LeTpGVqaO7tzMhW8ulTiJLi1TrlaOHjTHqmho/WndOunSTEf5Xo5Mjd3Z2pU6dy8uRJTpw4QatWrejWrRsXLz65hyAkJIQPP/yQpk2b6ihSURDZi0E+KTmatPUSkQlpVHa25IM23k9sr4qLNe+8VAmAiX9cJCW9EMvyklW38NHac4REJ1POzpxZvWphYCBbGQhRUqhUKr55pQZWpkacCo1lyeEQfYckiim9JUfh4eG89tprODs74+DgQJcuXbh161aB2ujSpQudOnXCy8sLb29vJk+ejJWVFUePHn3sY9RqNX379uXLL7+kUqVKz/o0xHPg85Tk6K8r91l/6i4qFUx/rWa+Vugd1boKZW3NuPswhZ/33ShUXAv/DmbHxQiMDVXM6VsHe8uCLVIphNC/snbmfNKpKgDf7rzC7egkPUckiiO9JUdvv/021atXZ//+/fz111+UKVOGPn36FLo9tVrN77//TlJSEgEBAY89b9KkSbi4uPDOO+/kq920tDTi4+Nz3MTz5a0tys69EGRcSgafbMiq9xn0UkXqVrDPV5sWJkZM6JJVbzBv/y2Cowr2B/F4cAxTd1wBYMLL1WRbECFKsN4NPGhc2ZHUDA0frz+HRobXxH/oLDkaPXo0SUn/viHduHGDjz/+mGrVqlGrVi1Gjx7N1atXC9zu+fPnsbKywtTUlPfee4+NGzdSrVq1PM89ePAgixYtYsGCBfluf8qUKdja2mpvHh4eBY5RFIx3may1gq5FJORaCn7yn5eIiE+lopMlY9v5FKjd9n6uNPd2Jl2tYcLmC/leZv5BQhojVp5CrVHoVqssbzaqUKDrCiGKF5VKxdRX/TE3NuTorRhWHg/Vd0iimNHZVH53d3fq1q3L9OnT6dq1K7169aJhw4Z06tSJjIwMNmzYQN++fQvcro+PD2fOnCEuLo5169YxYMAA9u/fnytBSkhIoF+/fixYsAAnJ6d8tz9+/HjGjBmj/Tk+Pl4SpOeskpMVRgYqEtIyiYhPxc02a0uR/dcesOZE9nCaf4E2vISsP4hfdvWj3awD/H09ih0XIuhYw+2Jj8lUaxi16jSRCWlUcbHim1dqPPPiYkII/SvvaMFHHXz48o9LTNl2mZa+Ltrti4q7DLWGb3deJfDyfewsTHCwNMHJKmsrFUer7J+zvne0NMXewljWdSoglVKUuwo+RXBwMMOGDcPc3Jwff/yRU6dOsW/fPtRqNU2aNOG111575jeeNm3aULlyZebNm5fj+JkzZ6hdu3aO/VY0Gg2QtY7H1atXqVz56Tu4x8fHY2trS1xcHDY2Ns8Uq3i8Nt/t50ZkIkveqk8LHxcSUjNo9/0BwuNSeauJJ1908St029/tvsYPgddxszVjz5jmWJo+/jPC9B1X+HnfTSxMDNkyoglVXGRrECFKC41Goee8I5y4/ZBm3s4sfat+sf/wE5+awbDfTnHwRlS+H6NSgZ25MY5WpjhammiTJkcrk3+PWf77va25camcbFKQ92+dLgJZsWJFtm/fzooVK2jevDmjR49mxowZRfrLqNFoSEtLy3Xc19eX8+fP5zj22WefkZCQwOzZs6U3qJjxKWPNjchErt1PoIWPC99su0J4XCoVHC34X/uCDaf917AWldl4+i53YlL44a/rjO9YNc/z9ly6z8/7bgIwrYe/JEZClDIGBiqmveZPx9l/c+DaA9afCuO1uu76Duux7j5M5u0lQVy7n4iFiSETu/phY2ZEVGI60YnpRCelEZ2UTnRiGtGJ6cQkpROTnI6iZK0d9zA5g/xMRzE0UOGgTZj+TaScrEwfOW6K0z+9VFamRsU+qSwona+QHR0dTd++fenUqRNjx44lICCA+fPn4+/vX+C2xo8fT8eOHSlfvjwJCQmsXLmSffv2sXPnTgD69+9PuXLlmDJlCmZmZlSvXj3H4+3s7AByHRf651XGCs5nFWUfvB7Fqn9qAqb18MfC5Nl+bc2MDfmyqx9vLznBor+Dea2Ou3b5gGyh0cmMWXMGgIGNPelSs+wzXVMIUTxVdrbigzbeTNtxhUl/XKSZlxMuNsVvRfCzd2J5Z+kJohLTKGNjyqIB9alezvapj1NrFB4mP5I8JWYlTzFJ6UT9J5GKSkwjPjUTtUbhQUIaDxJydzTkxcTIAKd/EiaHfxKq7ETKx9Walj4uz/r0dU5nyVFgYCB9+vThwYMHlC1blrVr1/Lrr7+yd+9eevfuTefOnfnyyy8xN8//mG9kZCT9+/cnPDwcW1tb/P392blzJ23btgUgNDS0xO4k/aLLns5/9k4sR25GAzAgoAKNKjkWSfutfMvQpmoZ9ly+z+ebL7BqcCPtJ5/UDDXDVp4kPjWT2uXttNN+hRCl0+CmFdl2PpzzYXF8uukC8/vVLVY9ITsvRjD699OkZmjwdbVm8Vv1tbWYT2NooMLJyhQnK1Pg6b3f6ZkaYpIeSaS0X/9NpKIfuT85XU16poZ7canci0vNs83f3mnIS175r/UtDnRWc+Tr68vgwYMZPnw4O3bsYMqUKRw7dgzImi4/adIk1q1bV6gZa7okNUe6cfNBIq1n7tf+7OFgzo7RzZ5YH1RQd2KSafv9flIzNMx+oxbdapUDYPyG86w6HoqDpQlbR75E2RJSpCmEKLwrEfF0+fEgGWqFH3vXLha9xYqisOhgMJO3XUZRoIWPMz/1qYNVEf4dfFYp6erHJlInbz/kVGgsjSs7snJwI32HWqD3b50lR7a2thw7dgxfX19SU1OpVq1arkUfL168iJ9f4QttdUGSI93IVGuoNmEn6eqsovmVgxvSuHLRf/L46a/rzNh1DWdrUwLHNmf3xfuMXXsWlQqWvd1A9k0T4gUya881Zu25joOlCbs/aIajlWme52k0CrEpGUQlphGVkMaDxDSiEtOJSUrD09GSzv5uzzz8n6nW8OUfl1h+9DYAbzYqz8QufiVq1llYbArNp+8lU6OweXgTaup5fbhiWZDdtWtXXnvtNbp27crBgwfp1KlTrnOKe2IkdMfI0ACvMlZcvBfPm43KP5fECLL2ZdtwKoxbUUl8uOYsB64/AGRDWSFeRMNaVGHHhQiuRCQwZs1ZmlRxJDoxXZv8RCWkEfVPvU7mExaOnPTHJbrVLkvvBuXxK/v0uqD/SkzLZOTKU+y9+gCVCj7tVJV3XqpYrIb68qOcnTlda5Vlw6kwftl/k7lv1tV3SPmms56j9PR05s2bx5UrV6hZsyZvv/02RkbFp2swv6TnSHeOB8dw4NoDhrWs/Myfwp7k7+sP6LfouPbnZt7OLBlYv1ROZRVCPNn5u3F0//lQvjaltTU3xumf4mMna1PszI05eCOK29HJ2nNqutvSu0F5utQsm6+ygPC4FN5ecoLL4fGYGRswq1dtOlR3fabnpE/X7ifQ7vsDqFSwZ0xzKjtb6S2WYjmsVlpIclQ6DV9xij/Ph1PW1oyto5riIPumCfHC+v14KH+eD8+xmKKTlSnO/xQ2O1lnTW83Mco9xKXRKBy9Fc3K46HsvBhBhjrrLdbSxJButcvRp0H5x84yu3gvjreXBHE/Pg0nKxMWDqhfKrYqGrQ0iD2XI3mjvgdTexR8ZnpRkeToOZLkqHR6mJTOgr9v8WqdcrKekRCiSEQnprH+1F1WHb+TYz/HGuWyepO61iqrLa7eeyWS4StPkZyuxsvFil8H1sfDwUJfoRepk7dj6DH3CCaGBvz9cUvK6GmpBEmOniNJjoQQQhSEoigcvRXDquOh7LgQoZ1oYmFiSNeaZSlnZ873e66hUaBJFUd+7lsXW3NjPUddtF7/5TBBIQ95t1klxutpeRRJjp4jSY6EEEIUVkxSOhtO3WXl8VBuPUjKcV/Peu583b1GnsN1JV3g5fu8s/QEVqZGHBrXSi/JX0Hev0vfv4AQQghRTDlYmjCoaSUCxzRn9ZBGdK9VFicrEz7q4MO0Hv6lMjECaOnjgk8ZaxLTMvntn+UJijO99Rylp6cTGRmp3fw1W/ny5fURTr5Jz5EQQghRcBtO3WXMmrM4WZly8OOWmBkbPv1BRahY9xxdv36dpk2bYm5uToUKFahYsSIVK1bE09OTihUr6jocIYQQQuhAl3/qq6IS01h38q6+w3kinS80NHDgQIyMjNi6dStubm4lblErIYQQQhScsaEBg5pW5Ms/LjH/wC3eqO9RbFf81nlydObMGU6ePImvr6+uLy2EEEIIPepV34MfAq8TGpPM9gsRxWIPu7zoPDmqVq0aUVFRur5s8ZeeDBc36jsKIXLyaABOXvqOQghRSliYGDGgsSez9lznl/03edm/eI4g6Tw5mjZtGh999BHffPMNNWrUwNg453S+F7bIOS0eNg/TdxRC5GTuAO+fB1P9LfkvhChdBgR4Mm//LS7ei+fgjahiuY+lzpOjNm3aANC6descxxVFQaVSoVardR1S8WBoAl7t9B2FEP8KOwXJUXB2FTQYrO9ohBClhL2lCW808GDxoRDm7rspyRHA3r17dX3JksHCAfqu1XcUQvzr2HzY/j84OhfqvQMGxbNwUghR8gxqWonlR25z+GY0Z+/EUrOY7SGn8+SoefPmur6kEKIwavWBv76GmJtwYzd4t9d3REKIUqKcnTlda5Vlw6kwftl/k7lv1tV3SDnoJDk6d+4c1atXx8DAgHPnzj3xXH9//e3YK4R4hKkV1O0Ph3+EI3MkORJCFKn3mldmw6kwdlyM4NaDRCo5F5/aRp2skG1gYEBERAQuLi4YGBigUqnI67IloeZIVsgWL5TYOzC7JihqGHoYyvjpOyIhRCkyaGkQey5H8kZ9D6b2eL6dIwV5/9ZJz1FwcDDOzs7a74UQJYSdB1TtApc2ZdUedftJ3xEJIUqR95pXZs/lSDacCuODtt6UsTHTd0iAjpKjChUq5Pm9EKIECBielRydWwOtvwCr4jezRAhRMtXzdKC+pz1BIQ/59WAw4ztV1XdIgB72VhNClDDu9aFcXVCnwcnF+o5GCFHKvNe8MgArjoUSl5Kh52iySHIkhHgylQoa/bNA6fEFkJmm33iEEKVKSx8XfMpYk5iWyYpjt/UdDiDJkRAiP6p1A+uykBQJFzboOxohRCliYKDi3eaVAPj1YAipGfqfmCXJkRDi6QyN/10l++gceP6TXIUQL5AuNctSzs6cqMQ01p+6q+9w9JMcxcbGsnDhQsaPH09MTAwAp06dIiwsTB/hCCHyo+5AMDKHiPNw+5C+oxFClCLGhgYMaloRgPkHbqHW6PcDmM6To3PnzuHt7c20adOYMWMGsbGxAGzYsIHx48frOhwhRH5ZOECt3lnfH/lZv7EIIUqdXvU9sLcw5nZ0MtsvhOs1Fp0nR2PGjGHgwIFcv34dM7N/1zPo1KkTBw4c0HU4QoiCaDg06+vVbRBzS7+xCCFKFQsTIwY09gRg7r6beS4WrSs6T46CgoJ49913cx0vV64cERERBWpr7ty5+Pv7Y2Njg42NDQEBAWzfvv2x5y9YsICmTZtib2+Pvb09bdq04fjx4wV+DkK8sJy9oUpbQMnamFYIIYrQgABPzI0NMTUyIDZZf9P6dZ4cmZqaEh8fn+v4tWvXtKto55e7uztTp07l5MmTnDhxglatWtGtWzcuXryY5/n79u2jd+/e7N27lyNHjuDh4UG7du2k1kmIggj4Z1r/6eWQGqffWIQQpYq9pQm7PmjG+qGNsbc00VscOtlb7VGDBg0iOjqaNWvW4ODgwLlz5zA0NKR79+40a9aMWbNmPVP7Dg4OfPvtt7zzzjtPPVetVmNvb89PP/1E//7989W+7K0mXniKAj83ggdXoP03WStoCyFEMVeQ92+d9xzNnDmTxMREXFxcSElJoXnz5lSpUgVra2smT55c6HbVajW///47SUlJBAQE5OsxycnJZGRk4ODg8Nhz0tLSiI+Pz3ET4oWmUkGjf2qPjv0CGv2vSSKEEEVJJ3urPcrW1pbdu3dz6NAhzp49S2JiInXq1KFNmzaFau/8+fMEBASQmpqKlZUVGzdupFq1avl67Mcff0zZsmWfeO0pU6bw5ZdfFio2IUot/16w50uIDYUrf0K1rvqOSAghiozOh9WWLVtGr169MDU1zXE8PT2d33//Pd/DW48+LjQ0lLi4ONatW8fChQvZv3//UxOkqVOnMn36dPbt24e/v/9jz0tLSyMt7d/tEuLj4/Hw8JBhNSECv4K/Z0D5AHh7h76jEUKIJyrIsJrOkyNDQ0PCw8NxcXHJcTw6OhoXFxfU6mfrom/Tpg2VK1dm3rx5jz1nxowZfP311+zZs4d69eoVqH2pORLiH/HhMKsGaDJg8F4oV0ffEQkhxGMV65ojRVFQqVS5jt+9exdbW9tnbl+j0eTo6fmv6dOn89VXX7Fjx44CJ0ZCiEfYuEH1V7O+P/aLfmMRQogipLOao9q1a6NSqVCpVLRu3Rojo38vrVarCQ4OpkOHDgVqc/z48XTs2JHy5cuTkJDAypUr2bdvHzt37gSgf//+lCtXjilTpgAwbdo0JkyYwMqVK/H09NSuq2RlZYWVlVURPVMhXiCNhsK51XBhPbT5MithEkKIEk5nyVH37t0BOHPmDO3bt8+RjJiYmODp6UmPHj0K1GZkZCT9+/cnPDwcW1tb/P392blzJ23btgUgNDQUA4N/O8fmzp1Leno6r732Wo52vvjiCyZOnFi4JybEi6xsbSjfGEIPQ9BCaP25viMSQohnpvOao6VLl9KrV68cW4eUJFJzJMR/XNoCa/qBuQOMuQTG5vqOSAghcinWNUcDBgwosYmRECIPvp3BrjykxGQNsQkhRAmn8+RIrVYzY8YMGjRogKurKw4ODjluQogSxsAQGr6X9f3RuVkraAshRAmm8+Toyy+/5LvvvqNXr17ExcUxZswYXn31VQwMDKTuR4iSqnY/MLHO2lLk5l/6jkYIIZ6JzpOjFStWsGDBAsaOHYuRkRG9e/dm4cKFTJgwgaNHj+o6HCFEUTCzgdpvZn1/dK5+YxFCiGek8+1DIiIiqFGjBpA1hT4uLmtX75dffpnPP5eZLkKUWA3fzVrv6MburKn9Fo76jkgIUVIZmkCFxnq7vM6TI3d3d8LDwylfvjyVK1dm165d1KlTh6CgoFxbigghShCHilnF2Ve2wrq39R2NEKIks3KFD6/q7fI6T45eeeUVAgMDadiwISNHjuTNN99k0aJFhIaG8sEHH+g6HCFEUWr1GSRGQnqSviMRQpRklvrtedb5Okf/dfToUQ4fPoyXlxddunTRZyj5IuscCSGEECVPQd6/dd5z9F+NGjWiUaNGAJw4cUL2OxNCCCGEXul8tlpiYiIpKSk5jp05c4YuXbrQsGFDXYcjhBBCCJGDzpKjO3fuEBAQgK2tLba2towZM4bk5GT69+9Pw4YNsbS05PDhw7oKRwghhBAiTzobVvvf//5Hamoqs2fPZsOGDcyePZu///6bhg0bcvPmTdzd3XUVihBCCCHEY+ksOTpw4AAbNmygUaNG9OzZE1dXV/r27cv777+vqxCEEEIIIZ5KZ8Nq9+/fp2LFigC4uLhgYWFBx44ddXV5IYQQQoh80WlBtoGBQY7vTUxMdHl5IYQQQoin0tmwmqIoeHt7o1KpgKxZa7Vr186RMAHExMToKiQhhBBCiFx0lhwtXrxYV5cSQgghhCg0nSVHAwYM0NWlhBBCCCEKTeeLQAohhBBCFGeSHAkhhBBCPEKSIyGEEEKIR0hyJIQQQgjxCEmOhBBCCCEeobPZatnUajVLliwhMDCQyMhINBpNjvv/+usvXYckhBBCCKGl8+Ro9OjRLFmyhM6dO1O9enXtopBCCCGEEMWBzpOj33//nTVr1tCpUyddX1oIIYQQ4ql0XnNkYmJClSpVdH1ZIYQQQoh80XlyNHbsWGbPno2iKLq+tBBCCCHEU+k8OTp48CArVqygcuXKdOnShVdffTXHrSDmzp2Lv78/NjY22NjYEBAQwPbt25/4mLVr1+Lr64uZmRk1atRg27Ztz/J0hBBCCFHK6LzmyM7OjldeeaVI2nJ3d2fq1Kl4eXmhKApLly6lW7dunD59Gj8/v1znHz58mN69ezNlyhRefvllVq5cSffu3Tl16hTVq1cvkpiEEEIIUbKplFI2vuXg4MC3337LO++8k+u+Xr16kZSUxNatW7XHGjVqRK1atfjll1/y1X58fDy2trbExcVhY2NTZHELIYQQ4vkpyPu3znuOsj148ICrV68C4OPjg7Oz8zO1p1arWbt2LUlJSQQEBOR5zpEjRxgzZkyOY+3bt2fTpk2PbTctLY20tDTtz/Hx8c8UpxBCCCGKN53XHCUlJfH222/j5uZGs2bNaNasGWXLluWdd94hOTm5wO2dP38eKysrTE1Nee+999i4cSPVqlXL89yIiAjKlCmT41iZMmWIiIh4bPtTpkzB1tZWe/Pw8ChwjEIIIYQoOXSeHI0ZM4b9+/fzxx9/EBsbS2xsLJs3b2b//v2MHTu2wO35+Phw5swZjh07xtChQxkwYACXLl0qsnjHjx9PXFyc9nbnzp0ia1sIIYQQxY/Oh9XWr1/PunXraNGihfZYp06dMDc3p2fPnsydO7dA7T26blLdunUJCgpi9uzZzJs3L9e5rq6u3L9/P8ex+/fv4+rq+tj2TU1NMTU1LVBMQgghhCi5dN5zlJycnGtoC8DFxaVQw2r/pdFoctQIPSogIIDAwMAcx3bv3v3YGiUhhG78cfMPPj7wMTdjb+o7FCGE0H1yFBAQwBdffEFqaqr2WEpKCl9++WWBk5Tx48dz4MABQkJCOH/+POPHj2ffvn307dsXgP79+zN+/Hjt+aNHj2bHjh3MnDmTK1euMHHiRE6cOMGIESOK5skJIQosMDSQTw9+yrbgbbz+x+ssPL+QTE2mvsMSQrzAdD6sNnv2bNq3b4+7uzs1a9YE4OzZs5iZmbFz584CtRUZGUn//v0JDw/H1tYWf39/du7cSdu2bQEIDQ3FwODf/K9x48asXLmSzz77jE8++QQvLy82bdokaxwJoSeXoi8x/u/xKCiUsypHWGIYs0/NZlfILr5q8hU+Dj76DlEI8QLSyzpHycnJrFixgitXrgBQtWpV+vbti7m5ua5DKTBZ50iIonE/6T59/uxDZEokjcs25qfWP7EjeAdTj08lPj0eI5URg/0HM7jGYIwNjfUdrhCihCvI+3epWwTyeZPkSIhnl5yRzMAdA7kcc5nKtpVZ3mk51ibWADxIfsDXR7/mrzt/AeBl78VXTb7CzzH3qvdCCJFfxS452rJlCx07dsTY2JgtW7Y88dyuXbs+73CeiSRHQjwbjaJhzL4xBIYGYm9qz4rOK/Cwzrl+mKIo7AzZyTfHvuFh2kMMVYYM9BvI0FpDMTWU2aNCiIIrdsmRgYEBERERuLi45KgByhWMSoVarX7e4TwTSY6EeDbfn/yeXy/8irGBMYvaL6K2S+3HnhuTGsOUY1PYEbIDgIq2FZnUeBK1XGrpKFohRGlRkPdvncxW02g0uLi4aL9/3K24J0ZCiGez8fpGfr3wKwBfNv7yiYkRgIOZA982/5ZZLWbhaOZIcFww/bf3Z3rQdFIyU3QRshDiBaTzqfzLli3Lcx2i9PR0li1bputwhBA6EhQRxKSjkwAY4j+ELpW75PuxrSu0ZnP3zXSt3BUFheWXltNjSw+CIoKeV7hCiBeYzguyDQ0NCQ8P1/YkZYuOjsbFxaXY9x7JsJoQBXc7/jZ9t/UlLi2O9p7tmd5sOgaqwn02O3D3AJOOTOJ+ctZq9z28ejCs1jBcLFye8kghxIus2A2rPUpRFFQqVa7jd+/exdbWVtfhCCGes7i0OEYEjiAuLY4aTjX4usnXhU6MAJq5N2Njt4308OoBwPrr6+m0oRPfnfiO2NTYIopaCPEi01nPUe3atVGpVJw9exY/Pz+MjP5df1KtVhMcHEyHDh1Ys2aNLsIpNOk5Ei+KuLQ4VCoVNiaF/z3P0GQwdPdQjkUcw9XSlVWdV+Fk7lRkMZ68f5LZp2ZzOvI0AFbGVgzwG0C/av2wNLYssusIIUq+grx/62yF7O7duwNw5swZ2rdvj5WVlfY+ExMTPD096dGjh67CEUI8wa24W/T9sy+pmak0LNuQ9hXa06p8K2xN89+7qygKk49O5ljEMSyMLPip1U9FmhgB1C1Tl6UdlvJ32N/8cOoHrj68ypwzc1h1ZRWDagyip09PmfovhCgwndccLV26lF69emFmZqbLyxYZ6TkSpV2GJoN+2/pxMfpijuNGBkY0LtuY9p7taenRUrto4+MsvbiUGSdmYKAy4MdWP9LMvdnzDBuNomFXyC5+OvMTt+NvA+Bq6crQmkPpWrkrRgY63y1JCFGMFLt1jkoTSY5EaffzmZ+Ze3Yu1ibW/NDyB07eP8nO2zu5/vC69hxjA2OalGtCe8/2tHBvgZWJVY429obuZfTe0SgofFT/I/pV66ez+DM0GWy5sYW5Z+dqi7Y9bTwZXns47Sq0e6Z6JyFEyVWskyO1Ws3333/PmjVrCA0NJT09Pcf9MTExugynwCQ5EqXZ+Qfn6be9H2pFzbSm0+hUqZP2vpuxN9kVsosdITu4FXdLe9zEwISXyr2UlSh5tCA0IZT+2/uTkpnC696v83mjz/OchPG8panTWH1lNQvPL+Rh2kMAfB18GVl7JE3LNdVLTEII/SnWydGECRNYuHAhY8eO5bPPPuPTTz8lJCSETZs2MWHCBEaNGqXLcApMkqP8URSFsMQwLkVf4mL0RcISwxjoN5DqTtX1HZp4jJTMFHr+0ZOQ+BA6eHbg2+bfPvbcGw9vsPP2TnYE7yAkPkR73NTQFFNDU+LT42nk1oif2/yMsYF+N41Nykhi2aVlLL24lKSMJADquNRhVJ1R1C1TV6+xCSF0p1gnR5UrV+aHH36gc+fOWFtbc+bMGe2xo0ePsnLlSl2GU2CSHOWmKAr3ku5lJUJRF7kUfYlLMZeIS4vLcV4jt0YsaLdAT1GKp/nm2DesurIKF3MXNnTbkK/ia0VRuPbwGjtDdrIzZCehCaFA1jYfv3X67ZlmuhW12NRYFl1YxKorq0hTZy1E26RcE0bXHk1Vx6p6jk4I8bwV6+TI0tKSy5cvU758edzc3Pjzzz+pU6cOt27donbt2sTFxT29ET160ZMjRVEITwrnYvQ/SdA/t9i02FznGhkY4W3vTUXbivx5609MDEw41PsQZkYlsxi/NDscdph397wLwC9tfqFJuSYFbkNRFK4+vMqJiBO082xXbBdlvJ90n/nn5rPh+gYylUwA2lVox4jaI6hoW1HP0QkhnpdiOZU/m7u7O+Hh4ZQvX57KlSuza9cu6tSpQ1BQEKamMuW2OFEUhYikCG0ilP31cYmQl50X1Ryr4efkRzXHanjZeWFiaIKiKJyIOMH95PucijxF47KNdf9kxGPFpcXx+aHPAejl06tQiRFkbRzt6+CLr4NvUYZX5MpYluHzgM8Z4DeAn8/+zLZb29h1exd7QvfQrXI3htYcipuVm77DFELokc6To1deeYXAwEAaNmzIyJEjefPNN1m0aBGhoaF88MEHug5H/CM7EXo0CboUfUlbyPooI5URXvZZiVA1x2r4OfrhZZ+VCOVFpVIRUDaATTc2ceTeEUmOipnJRycTmRJJBZsKjKk7Rt/h6Ex5m/JMbTqVt6u/zY+nf2TfnX1svLGRrbe20sunF4NqDMLR3FHfYQoh9EDvU/mPHDnCkSNH8PLyokuX/G9EqS+lYVhNURTuJ9/P0SN0OfoyMam5ZwoaqYyoYl8FP0c/bTLkZe9V4IX1tgdv56MDH+Fj78O6ruuK6qmIZ5T972KoMmRZx2X4O/vrOyS9OfvgLD+c+oHjEccBMDcyp1+1fgzwG1CsaqeEEIVTrGuOSrqSlhxlJ0L/7RF6XCJU2a5y1rCYQ9bwWGESobzEpMbQfHVzAPb23FvkKyWLgrufdJ9XtrxCQnoC79V8j+G1hus7JL1TFIWj4Uf54dQPXIi+AICNiQ1vV3+bPlX7YG5krucIhRCFVeySoy1btuT73K5duz7HSJ5dcU6OFEUhMjkyVyIUnRqd61xDlSFV7KrkGBrzdvB+rlst9PyjJ5djLjOl6RRervTyc7uOeDpFUXhvz3scvncYP0c/lndarvcp98WJoij8FfoXP57+kZtxNwFwMnfiXf936eHVA2NDea2EKGmKXXJkYJC/FWlVKhVqtfo5R/NsiltylJqZyorLKzgVeYpL0ZeISonKdY6hypDKdpVzJkL23jqfNfb9ye/59cKvdK3clckvTdbptUVOq66s4ptj32BqaMqaLmuoZFtJ3yEVS2qNmj+D/+TnMz8TlhgGQDmrcgyvNZxOFTthaGCo5wiFEPlV7JKj0qS4JUfj/h7Hn7f+1P5sqDKkkl0l7bBYNcdq+Nj7FIvp88fCjzFo1yCczZ0JfD1QVijWk+C4YHr+0ZNUdSrjGoyjb9W++g6p2MtQZ7Du+jrmnZ2n7YmtYleFEbVH0MqjlfwuC1ECFLup/A4ODly/fh1HR0fefvttZs+ejbX1kzetFE/3560/+fPWnxiqDHm/zvvUcqmFj4NPsa2LqO1SGzNDMx6kPOBG7A287L30HdILJ1OTyacHPyVVnUpDt4b09u2t75BKBGNDY3r79qZb5W6surKKXy/8yo3YG7y/931qONVgVJ1RNHJrpO8whRBFRCc7MKanp2sXd1y6dCmpqam6uGypdi/xHl8f/RqAd/3fZWD1gdRyqVVsEyMAE0MT6rpmbddw5N4RPUfzYlpwfgHno85jbWzN102+lk1YC8jC2IJ3arzD9h7bGVxjMOZG5pyPOs/gXYMZtHMQ5x6c03eIQogioJOeo4CAALp3707dunVRFIVRo0Zhbp73m/ivv/6qi5BKNLVGzfi/x5OYkUhN55oM9h+s75DyLcAtgENhhzgcfpj+fv31Hc4L5ULUBeadnQfAJ40+wdXSVc8RlVw2JjaMqjOKPlX7sPD8QtZcXcOxiGP03daXlh4tGVl7pPSMClGC6eRj42+//UanTp1ITExEpVIRFxfHw4cP87yJp/v1wq+cijyFhZEFU5pOwchA52t5Flr2ApAnI06Srk7XczQvjpTMFMb/PR61oqa9Z3s6V+ys75BKBSdzJ8Y1GMfWV7bSvUp3DFQG7L2zlx5bejD+7/HcSbij7xCFEIWg84LsihUrcuLECRwdS+bKs/ouyL4QdYF+2/qRqWTydZOv6Valm85jeBaKotB6bWsepDxgYbuFNHRrqO+QXghTjk1h5ZWVOJs7s7HbxnxtKisK7lbcLX46/RO7b+8GstYO6+HdgyH+Q4rtXnNCvCgK8v6t84KD4ODgEpsY6VtyRjLj/h5HppJJuwrt6Fq5eK8JlZfsrURA6o505WDYQVZeWQnApCaTJDF6jirZVuK7Ft/x+8u/06RsEzKVTFZfXU2nDZ347sR3xKbG6jtEIUQ+6KUaMzAwkE8++YRBgwbx9ttv57gVxJQpU6hfvz7W1ta4uLjQvXt3rl69+tTHzZo1Cx8fH8zNzfHw8OCDDz4oEUXi04Omczv+NmUsyjAhYEKJnT6cPavnSLgkR89TUkYS04OmMyJwBJC1qexL5V7Sc1QvBj9HP35p+wu/tv+VWs61SFOnsfjiYjpu6MgvZ38hKSNJ3yEKIZ5A58nRl19+Sbt27QgMDCQqKuqZao7279/P8OHDOXr0KLt37yYjI4N27dqRlPT4PzwrV65k3LhxfPHFF1y+fJlFixaxevVqPvnkk2d9as9VYGgg66+vR4WKb176pkR/+s/uObocfZmHqVJnVtQURWFXyC66burK8kvLtXVGY+uN1XdoL5z6rvVZ1nEZc1rPwcfeh8SMROacmUOnDZ1Yfmk5aeo0fYcohMiDzmuO3NzcmD59Ov369Svyth88eICLiwv79++nWbNmeZ4zYsQILl++TGBgoPbY2LFjOXbsGAcPHnzqNfRRcxSZHEmPLT2ITYvlLb+3GFOv5O+c3mNLD649vMa3zb6lQ8UO+g6n1LgTf4fJxydzKOwQAO5W7nza6FPpMSoGNIqGnSE7+en0T4QmhALgaunK0JpD6Vq5a4maWCFESVSsa47S09Np3Ljxc2k7ey0lBweHx57TuHFjTp48yfHjWTtv37p1i23bttGpU6c8z09LSyM+Pj7HTZc0iobPD31ObFosVR2qMqL2CJ1e/3kJcMvqPTp877CeIykd0tXp/HL2F17Z8gqHwg5hbGDMezXfY2O3jZIYFRMGKgM6VuzIpu6bmBgwkTIWZYhIiuCLw1/wyuZX2BGyA42i0XeYQgj0kBwNGjSIlStXFnm7Go2G999/nyZNmlC9evXHntenTx8mTZrESy+9hLGxMZUrV6ZFixaPHVabMmUKtra22puHh0eRx/4kKy6v4PC9w5gamjK16VRMDE10ev3nJXtK/5HwI8gONs/maPhRemzpwZwzc0hTp9HQrSEbum5geK3hxWLbGJGTsYExPbx78Oerf/K/ev/D3tSekPgQ/rf/f/Ta2osDdw/I/wkh9Eznw2qjR49m2bJl+Pv74+/vj7Fxzt2tv/vuu0K1O3ToULZv387Bgwdxd3d/7Hn79u3jjTfe4Ouvv6Zhw4bcuHGD0aNHM3jwYD7//PNc56elpZGW9m9dQHx8PB4eHjoZVrsac5Xef/YmQ5PBpw0/5Q3fN57r9XQpNTOVJquakK5JZ3P3zbLxaSFEpUQxPWg624O3A1lr7vyv3v/oWLFjiS3WfxElpiey/PJyll5cqi3UruNSh5G1R1KnTJ3nsoq5oihEp0YTkRTBvcR73E++TzXHatQtU7fIryVEcVGsN55t2bLlY+9TqVT89ddfBW5zxIgRbN68mQMHDlCxYsUnntu0aVMaNWrEt99+qz3222+/MWTIEBITEzEwePIfIl3VHKWp03hj6xvciL1BM/dm/NTqp1L3hjd412COhh+VzU8LSK1Rs/rqan48/SOJGYkYqAzo5dOLkbVHYm0iexaWVA9TH/LrhV9ZdWWVtlDbUGWIvZk9jmaOOJo74mDmoP3e0dzx3+/NHLE3s9fWLWVoMrifdJ/wpHDuJd4jPClc+31EUgThSeF5FoO/5v0a/6v3PyyMLXT63IXQhWK38eyj9u7dW2RtKYrCyJEj2bhxI/v27XtqYgSQnJycKwEyNDTUtldczDo5ixuxN3Awc2BS40mlLjGCrFlrR8OPcuTeEUmO8uli1EUmHZ3EpehLQNaU8c8DPsfP0U/PkYlnZW9mz9h6Y3mz6pvMOzePTTc2kaHJIColiqiUKHjKxE4VKuxM7TA2MOZBygMUnvz3TIUKZwtnylqWxcrEikNhh1h3bR1H7x1l8kuTqVOmThE+OyFKFp33HBWlYcOGsXLlSjZv3oyPj4/2uK2trXbvtv79+1OuXDmmTJkCwMSJE/nuu++YP3++dlht6NCh1K1bl9WrVz/1mrroOToUdoj39rwHwJzWc2jmnvfMu5LuSswVXv/jdSyMLDj4xkGMDY2f/qAXVHx6PD+c+oE1V9egoGBtbM2oOqN43ft1DA0M9R2eeA4yNBk8TH1ITGoM0SnRRKdGZ3199Pt/vj5Me5irmNvU0BQ3S7esm1XW17JWZbXHyliWwdjg3/9zQRFBfHrwU8KTwlGhYmD1gYyoNaLU1DkKUSyH1V599dV8nbdhw4Z8t/m43pTFixczcOBAAFq0aIGnpydLliwBIDMzk8mTJ7N8+XLCwsJwdnamS5cuTJ48GTs7u6de83knRzGpMfTY0oOolCje8HmDTxt9WuTXKC40ioaWa1oSkxrD4vaLqedaT98hFTuKovBn8J/MCJpBdGo0AJ0rdebDeh/iZO6k5+hEcaHWqIlNiyUmNYZ0dTqulq44mDkUuMc5MT2RaUHT2HRjEwBe9l5MeWkKPg4+T36gECVAsUyO3nrrrXydt3jx4uccybN5nsmRoiiM3juavXf2Usm2EqtfXl3qZxt9fOBjtgVvY4j/EEbWHqnvcIqVW3G3+OboNxyLOAaAp40nnzX6TPajE8/dX6F/8eWRL4lJjcHIwIjhtYbzlt9b0kspSrRimRyVFs8zOVp7bS2TjkzCyMCIVZ1X4evgW6TtF0ebbmzi80OfU8OpBis7F/0SDyVRamYq88/NZ/HFxWRqMjE1NGWI/xAG+g2UIQ6hM9Ep0Uw6Mom/7mRNkqnlXIvJL02mvE15PUcmROEU60UgRd6C44L5NihrBt3o2qNfiMQI/l0M8mL0ReLS4vQcjf4duHuA7pu7s+D8AjI1mTQt15SN3TYyxH+IJEZCpxzNHZnVchZfN/kaK2Mrzjw4w2t/vJZV9yafqUUpJ8lRMWFsYIy3vTcNXRvS36+/vsPRmTKWZahsWxmNouFY+DF9h6M3EUkRfLD3A4YHDicsMYwyFmX4vsX3zGk9Bw9r3S48KkQ2lUpFtyrdWN91PQ1cG5CSmcJXR79iaOBQ7ifd13d4Qjw3khwVE+7W7izpsISZLWY+l0XfirPsjWiPhB/RcyS6l6HJYOnFpXTd1JU9oXswVBkyoNoAtnTfQpsKbUrlEg6i5ClrVZYF7Rbwcf2PMTU05VDYIV7d8irbbm0jOSMZtUat7xCFKFJSc1RA+th4trQ7cPcAwwOHU86qHNtf3f7CJARnIs8w6egkrj+8DmTVdHzW6DOZGSSKtVuxtxh/cLx2ra1spoammBuZY2ZkhrmRedb3hmaYG5tjYWTx789G5pgbP/L9f26PPv7RYy/ah0ZR9Ir1IpBC/Fe9MvUwMjAiLDGMOwl3Sn3BZ2xqLN+f+p4N17OWrbA1tWVM3TF0r9Jd3gBEsVfJrhK/dfqNBecWsOTiElIyU4CsVf3T1GmQe+HtImFmaJYz8cojiXo0Icv+2c7UjubuzWXVb1EgkhwJvbMwtqC2S22CIoI4cu9IqU2ONIqGzTc2893J74hNiwXglSqv8EHdD7A3s9dvcEIUgLGBMcNqDWNozaGkqlNJzUwlJTOFlMwUUjNTSc5MzvHzf7/Pvj+v+7Q/q1O1iReQdR11qvb/TkFUc6zGvDbzsDOzK7oXQZRqkhyJYqFx2cYERQRx+N5hevn20nc4Re7aw2t8ffRrTkeeBqCKXRUmBEygtkttPUcmROGpVCptD409RZ/gaxQNqZmp2kQpJSNn4pScmZw7qfrPz0ERQVyKvsRbO99iQbsFsniqyBdJjkSxEOAWwGxmczziOJmaTO0GmiVdckYyc8/OZfml5agVNeZG5gyrOYy+1frm2LpBCJGbgcoAC2OLZxoSuxl7k8G7BnMj9gZv7chKkFwtXYswSlEaSYGDKBZ8HXyxNbUlMSORC1EX9B3OM1MUhcDbgXTb3I0lF5egVtS0Lt+aLd23MLD6QEmMhNCRynaVWdJhCW6WboTEhzBwx0DuJtzVd1iimJPkSBQLhgaGNHJrBMCRe882pT84Lliva7DcTbjLiL9G8P6+94lIiqCcVTnmtJ7DrJaz5BOrEHpQ3qY8SzoswcPag7DEMAbsGEBIXIi+wxLFmCRHotjIXi378L3DhW5j041NdN/cna6bunL2wdmiCi1fMtQZLDi3gFc2v8KBuwcwMjBicI3BbOy2kWbuzXQaixAip7JWZVnSYQmVbCsRmRzJwB0DtctoCPFfkhyJYiN7McjzUedJSE8o8ONXXl7J54c+R6NoSM5MZujuobnWYnlejocfp8cfPfjh9A+kqlOp71qf9V3WM6rOKMyNzHUSgxDiyVwsXFjcYTE+9j5Ep0bz1s63dPY3QpQskhyJYqOsVVk8bTxRK2qORxwv0GMXnl/IlONTAOjj24c6LnVIyEjg3d3vPtdPh9Ep0Yz/ezzv7HqH4LhgHMwc+Oalb1jUbhGV7Co9t+sKIQrHwcyBRe0XUcOpBnFpcQzaOYgzkWf0HZYoZiQ5EsWKdiuRfNYdKYrCrJOzmH1qNgDv1XyPcQ3GMaf1HGo41SA2LZbBuwYTHBdc5LFeiLpAzz96svXWVlSo6OXTiy3dt9ClcpcXZpVvIUoiW1Nb5redr/0QNWT3EIIigvQdlihGJDkSxUp23VF+kiONomHK8SksurAIgLF1xzK81nBUKhVWJlbMbTMXXwdfolOjGbRrEHcS7hRZnH/c/IMB2wcQmRJJJdtKrOi0gs8afYatqW2RXUMI8fxk/41o5NaIlMwUhu4ZysGwg/oOSxQTkhyJYqW+a32MVEaEJoQ+cbptpiaTCYcmsOrKKlSo+LzR5wysPjDHObamtsxrO4/KtpWJTI5k8K7BRCRFPFN8ao2amSdm8snBT0jXpNPCvQUrOq2ghnONZ2pXCKF7FsYW/NT6J5q7NydNncbIv0YSGBqo77BEMSDJkShWrEys8Hf2B+BIeN69RxnqDD468BGbb27GUGXI5Jcm09OnZ57nOpg5sKDdAspblycsMYx3dr7Dg+QHhYotPj2e4X8NZ8nFJQAMrjGY2a1mY2ViVaj2hBD6Z2poyvctvqddhXZkajIZu28s24O3F6otjaJB9nIvHUrHMsSiVAkoG8CpyFMcuXeE171fz3FfamYqH+z7gINhBzE2MObbZt/SukLrJ7bnbOHMovaLGLhjIKEJoQzeNZhfO/yKg5lDvmO6FXeL0X+NJiQ+BDNDM75q8hUdKnYo1PMTQhQvxobGTGs2DdNDpvxx6w8+PvAx95PuU9aqLEkZSSSkJ2R9zcj6mpieSGLGP7f0f78mZybjbO5MPdd61HetT/0y9algU0FqEEsglSJpboHEx8dja2tLXFwcNjY2+g6nVDr74CxvbnsTGxMbDvQ6gKGBIQBJGUmMCBzBifsnMDM0Y3bL2TQu1zjf7d5NuMuAHQOITI7E18GXhe0W5qtG6MDdA3x84GMSMxJxtXTlh5Y/UNWxaqGfnxCieNIoGr46+hXrrq0rsjZdzF3+TZZc61PeurwkS3pSkPdvSY4KSJKj5y9Tk0mz1c1ISE9gZaeV1HDOmnI7dM9Qzkedx8rYijmt51CnTJ0Ctx0Sl7V9QHRqNDWcajC/7fzHDospisLii4uZdXIWCgp1XOrwXYvvcDR3fNanKIQophRFYcH5Bey5vQdzI3OsTKywNLbE2tgaS5N/vhpbYm3yn6/G1pgbmxMcF0xQRBBBEUGcfXCWDE1GjvZdLFy0vUr1XevjYe0hyZKOSHL0HElypBsf7P2APaF7GFl7JK96vcqQ3UO4/vA6dqZ2/NL2F/wc/Qrd9vWH13l759vEpsVSx6UOc9vMzbWxZWpmKl8c/oJtwdsAeM37NT5p8AnGhrInmhAif1IzUzkfdZ7jEccJigji3INzuZKlMhZlaODagGG1huFu7a6nSF8Mkhw9R5Ic6caaq2v46uhXeNt7k6ZO43b8bZzMnVjQdgFV7Ks8c/uXoi8xaOcgEjISaOjWkJ9a/YSZkRkAEUkRjN47mkvRlzBUGTKuwTh6+fSST3dCiGeSmpnKuQfn/k2Wos6RqckEoJVHK2a3mq3nCEs3SY6eI0mOdONOwh06beik/bmsZdmsWWc25YvsGmcfnGXIriEkZybTtFxTZreczcXoi7y/932iU6OxM7XjuxbfUd+1fpFdUwghsqVkpnAo7BAf7PsAQ5UhO3rskM2pn6OCvH/LVH5RLHlYe+Bh7QGAp40nSzsuLdLECKCmc03mtJ6DmaEZf4f9zcCdA3l759tEp0bjZe/Fqs6rJDESQjw35kbmtKnQhrpl6qJW1Gy4vkHfIYl/SHIkiq3xDcbzmvdrLO6w+Ll9mqrnWo/ZrWZjYmCirQdoU74Nv3X8Tcb/hRA60dM7a5229dfWa4fZhH7JsFoBybBa6XTg7gFmnphJp4qdGOw/GAOVfG4QQuhGujqdtuvaEpMaw6wWs566dpsoHBlWE6KAmrk3Y3P3zbxb811JjIQQOmViaEL3Kt0BWH11tX6DEUAJT46mTJlC/fr1sba2xsXFhe7du3P16tWnPi42Npbhw4fj5uaGqakp3t7ebNu2TQcRCyGEELm97v06KlQcCT9CaHyovsN54ZXo5Gj//v0MHz6co0ePsnv3bjIyMmjXrh1JSUmPfUx6ejpt27YlJCSEdevWcfXqVRYsWEC5cuV0GLkQQgjxL3drd5qUawLA2mtr9RyNKFU1Rw8ePMDFxYX9+/fTrFmzPM/55Zdf+Pbbb7ly5QrGxgVf0E9qjoQQQjwPe0P3MmrvKOxM7djz+h5MDU31HVKpUpD371K18WxcXBwADg6P31B0y5YtBAQEMHz4cDZv3oyzszN9+vTh448/xtDQMNf5aWlppKWlaX+Oj48v+sCBzIcPufve0OfSthCFZdWiOU5D5fdSCF1o5t4MV0tXIpIi2BWyiy6Vu+g7pBdWqUmONBoN77//Pk2aNKF69eqPPe/WrVv89ddf9O3bl23btnHjxg2GDRtGRkYGX3zxRa7zp0yZwpdffvk8QwdAycgg5ezZ534dIQoi5exZrFq2xMzXV9+hCFHqGRoY0sOrB3POzGHttbWSHOlRqRlWGzp0KNu3b+fgwYO4uz9+fRpvb29SU1MJDg7W9hR99913fPvtt4SHh+c6P6+eIw8PjyIfVtOkpZF08GCRtSfEs3q4ejVJB/7GplNHyn33nb7DEeKF8CD5AW3XtUWtqFnfdT3e9t76DqnUeOGG1UaMGMHWrVs5cODAExMjADc3N4yNjXMMoVWtWpWIiAjS09MxMTHJcb6pqSmmps9/3NfA1BTr1rK2hSg+jN3dCT7wN/Hbd+A0ciSmFSvqOyQhSj1nC2dalW/F7tu7WXN1DZ81+kzfIb2QSvRsNUVRGDFiBBs3buSvv/6iYj7+eDdp0oQbN26g0Wi0x65du4abm1uuxEiIF5mZjw9WLVqAohC9aJG+wxHihdHTJ2vF7K23tpKckaznaF5MJTo5Gj58OL/99hsrV67E2tqaiIgIIiIiSElJ0Z7Tv39/xo8fr/156NChxMTEMHr0aK5du8aff/7JN998w/Dhw/XxFIQo1pzeexeAuM1byMhj2FkIUfQaujbE08aTpIwktt7aqu9wXkglOjmaO3cucXFxtGjRAjc3N+1t9ep/VxgNDQ3NUUvk4eHBzp07CQoKwt/f///t3Xd4U4X+BvA36YQuRltmoVAoFTqoCMi6FERmLyKrDFkiqIAWuPxEruOCcEVEFNF7peAoIAiiYPV6mcq4KLKUoWyxVqClUOguJU2+vz8wIWG2IcnJObyf5+kDTU7S96Xl9JuTM/Dss88iOTkZzz//vBIViNxapebNUbl1a8BgQM6HHykdh+ieoNPp0D+yPwDg02OfQiO7BquKZnbIdhWe54juNUXff4+Mx0dD5+uLRt9shmf16kpHItK8vNI8dP60M66YruDjnh8jLiRO6Uiqx2urEZHDVG7TBr4xMZDLl3Fx6TKl4xDdE4J8gtC9QXcAV7cekWtxOCKi29LpdJZ9jy4tXw6jk06ESkS2zDtmb0jfgLzSPIXT3Fs4HBHRHfl36gSfxo1gKizEpRWfKB2H6J4QGxyLJlWboNRYirSTaUrHuadwOCKiO9Lp9ag+diwA4OKSJTBZHRFKRM6h0+ksW49WH1/NHbNdiMMREZVLYI8e8AoLg/HSJeSu/kzpOET3hF4Ne8HPyw/p+enYnbVb6Tj3DA5HRFQuOk9PVH/iCQBAzocfQq5cUTgRkfb5efkhsWEiAGDVsVV3WJochcMREZVb0KN94BkSgrKsLOR9+aXScYjuCQMiBwAAtmRswfni8wqnuTdwOCKictN7e6Pa448DAC4sXgwxGhVORKR9Tao1QfOQ5iiTMqw5sUbpOPcEDkdEVCFVBw6AR1AQDL9nIH/9eqXjEN0TzDtmf3biMxhNfFHibByOiKhC9H5+qDpiOAAgJ2URj6AhcoGu4V1RxacKsoqy8L8z/1M6juZxOCKiCqs2dCj0lSuj9PhxFG7dqnQcIs3z8fBBn0Z9AHDHbFfgcEREFeYRFISqQwYDAHIWpnDrEZELmC9G+92Z73C64LTCabSNwxER2aXaiBHQeXuj5MABFO/i+VeInK1+YH20qdUGAsFnx3muMWficEREdvEMCUGV/ldfyeYsSlE4DdG9IalJEgBg7cm1MBgNCqfRLg5HRGS36qMfBzw9UfT9TpQcPKh0HCLN6xjWEaGVQnHx8kVsztisdBzN4nBERHbzqlMHQYlXz957IWWRwmmItM9T74l+kf0AACuPrsSly5e4BckJdMI9KSskPz8fQUFByMvLQ2BgoNJxiBRXeuoUTvVKBETQ4Ms0+EZGKh2JSNOyirLQ/fPuMMq18x156b3g5+Vn+fD38kdlr8rw9/KHn5efzd+v/zAva/67t4e3gu2cpyK/vz1dlImINMqnYUMEdO2Kgg0bkLP4fdSZ+7rSkYg0raZfTQxvNhwrj65ESVkJAMBgMiC3NBe5pbl3/fyees9bDlK3HcA8K8Pf2x9+nn7w8766jLfeGzqd7q4zuRq3HFUQtxwR3ajkl1+Q3q8/oNcjYsN6eIeFKR2J6J5gNBlRXFaMIkMRigxFKDQUWv5u/VFoKESxodhyv/nv1reZBy1HahjUEO8+9C7CApRfJ1Tk9zeHowricER0cxljxqLof/9DlYEDUeuVGUrHIaIKKu+gdauh61aDVkxwDJb0WAIvvZeC7fi2GhEpIPjJq8NR3tq1COrTBx4B/kpHIlIFnbc3vOrVU/ztJw+9BwK8AxDgHXDXz2U0GXG68DQGfz0Yhy4cwr9++hcmtph49yFdhFuOKohbjohuLf2xx1Cyd5/SMYhUJ3j8eIQ8M0HpGA636fdNmLx1MnTQIeXhFLSp3UaxLHxbzYk4HBHdWsn+/Tgz5f9gKi5WOgqROphMMObmQuftjYb//RredesqncjhXtn5ClYfX43gSsH4vPfnqOZbTZEcHI6ciMMRERE5ioggY9TjKP7hBwR064a6b89XOpLDlZSVYPB/BuPXvF/xl7p/wbud31XkLcSK/P7mSSCJiIgUotPpUGPa84Bej4ING1C8Z4/SkRyukmclvN7xdXjrvbH99HasOLpC6Uh3xOGIiIhIQb5NmqDKgAEAgKzZsyFG4x0eoT6RVSMxpeUUAMC8vfNw9OJRhRPdHocjIiIihYU8+wz0/v4oPXwEeV98oXQcpxjUZBASwhJgMBnwf9v+D8UG9903kcMRERGRwjyrV0fwuHEAgOy35sNYWKRwIsfT6XSY2XYmQiuHIj0/HXP2zFE60i2pejiaPXs2WrZsiYCAAISGhqJPnz44duxYuR+/cuVK6HQ69OnTx3khiYiIyqHaY0PhVb8ejBcuICclRek4TlHFtwpe6/AadNBhzYk1WP/beqUj3ZSqh6Nt27Zh/Pjx+OGHH7Bp0yYYDAZ07doVRUV3nrjT09MxZcoUdOjQwQVJiYiIbk/n7Y0aU6cCAC6mpuLK6dMKJ3KOljVbYkzsGADAjJ0zcKbwjMKJbqTq4Wj9+vUYOXIkmjVrhri4OKSmpiIjIwP79t3+JHRGoxFDhw7FjBkz0LBhQxelJSIiuj3/Tp1Quc2DEIMB2a/PVTqO0zwd9zTiQuJQaCjE1O1TUWYqUzqSDVUPR9fLy8sDAFSrdvsTTL3yyisIDQ3F6NGj7/icpaWlyM/Pt/kgIiJyBp1OhxrPT7t6aP/GjSjavVvpSE7hqffEnL/MQYBXAA6cP4D3DryndCQbmhmOTCYTJk6ciHbt2iE6OvqWy+3YsQMffPABFi9eXK7nnT17NoKCgiwfYbzaOBEROZFvk0hUGXj10P5zs1/T5KH9AFDHvw5ebvMyAGDxwcXYk+U+53jSzHA0fvx4/Pzzz1i5cuUtlykoKMCwYcOwePFiBAcHl+t5p02bhry8PMvHH3/84ajIRERENxXy7LPQBwSg9MgR5K1dq3Qcp+neoDv6Nu4LgeD57c/j0uVLSkcCoJHLh0yYMAFpaWnYvn07GjRocMvl9u/fj/j4eHh4eFhuM5lMAAC9Xo9jx44hIiLitl+Llw8hIiJXyPkoFdlz5sAjOBgR69fBw99f6UhOUWwoRtJ/kpCen46EsAQs6LTAKZcXuWcuHyIimDBhAtauXYtvv/32toMRAERFReHQoUPYv3+/5aN3797o1KkT9u/fz7fMiIjIbVQbOgTe9etr+tB+AKjsVRlzO86Fl94LW//YilXHVikdSd3D0fjx4/Hxxx9jxYoVCAgIQFZWFrKyslBSUmJZZvjw4Zg2bRoAwNfXF9HR0TYfVapUQUBAAKKjo+Ht7a1UFSIiIhs6b2+EWg7tX4IrGt6tI6paFP72wN8AAHP3zMXxS8cVzaPq4ei9995DXl4eEhISUKtWLcvHqlXXps6MjAxkZmYqmJKIiMg+/p0S4Ne2reYP7QeAIVFD8Je6f8EV0xU8t+05lJSV3PlBTqKJfY5cifscERGRK10+fhy/9XkUMJlQb8kS+LVupXQkp7l4+SL6f9kfzYKbYVa7WQjyCXLYc98z+xwRERFpnW9kJKoOSgIAnJs9W7OH9gNANd9qWNFrBRZ0WuDQwaiiOBwRERG5ueBnnoE+MBClR48id80apeM4VU2/mk45Wq0iOBwRERG5Oc+qVREyfhwA4Pz8t2EsLFQ4kbZxOCIiIlKBqoMHwzs8HMacHOQsXKh0HE3jcERERKQCVw/tfw4AcHHJUlzJyFA4kXZ5Kh2AiIiIysc/IQF+7dqh6LvvkDVrFqoNG6Z0JKfQeXnD78HWyn19HspfMTyUn4iIlFR64gRO9XkU0PBRa54hIWj8v+0Ofc6K/P7mliMiIiIV8WncGDWmPoe8L9Ig0Ob2Dc8qVRX9+txyVEHcckRERKQ+PAkkERERkZ04HBERERFZ4XBEREREZIXDEREREZEVDkdEREREVjgcEREREVnhcERERERkhcMRERERkRUOR0RERERWOBwRERERWeFwRERERGSFwxERERGRFU+lA6iN+Tq9+fn5CichIiKi8jL/3jb/Hr8dDkcVVFBQAAAICwtTOAkRERFVVEFBAYKCgm67jE7KM0KRhclkwtmzZxEQEACdTnfTZfLz8xEWFoY//vgDgYGBLk7oXOymPlrtBbCbGmm1F6CObmrIaK87dRMRFBQUoHbt2tDrb79XEbccVZBer0fdunXLtWxgYKDmfvjM2E19tNoLYDc10movQB3d1JDRXrfrdqctRmbcIZuIiIjICocjIiIiIiscjpzAx8cH//jHP+Dj46N0FIdjN/XRai+A3dRIq70AdXRTQ0Z7ObIbd8gmIiIissItR0RERERWOBwRERERWeFwRERERGSFwxERERGRFQ5HROS2Dhw4wOsYEpHLcTiqoMLCQuTl5QEo38Xr1OLs2bNo3bo15s2bp3QUh8vOzsb27dtx6tQppaM4VHZ2NlasWIHvvvsOly5dUjqOQ505cwYDBw5EfHw8li1bpnQch9LqOgTQ7npEDeuQkpISlJaWKh3DKc6ePYuePXvio48+ctnX5HBUAdOnT0d0dDTWrl0LALe8tpraTJw4EeHh4ahRowaGDh2qdByHeuGFF9CwYUO8/PLLiI2NxaxZs/D7778DuHqdPLV6/vnn0ahRI6SkpKB79+549tlnkZ6ernQsh5g8eTLq1auHkpISVK1aFQEBAUpHchitrkMA7a5H1LAOeemll/DAAw9g165dSkdxuEmTJiEsLAy+vr5ITEx03RcWuqOcnBwZPXq03H///VK/fn0ZMGCAHD9+XERETCaTwunsd+TIEaldu7Y0adJE9uzZo3Qch3v33XelVatWsnXrVikoKJCFCxdKmzZtpG/fvkpHs9vp06elW7du0qpVK9m2bZuUlpbK0qVLJTo6Wr766iul492VdevWSWBgoDRv3ly2bdsmIiJdu3aVpKQkhZPdPa2uQ0S0vR5x93VIZmamDBs2TOLj46Vy5coyatQoyc3NVTqWQ+zbt09q1aolUVFRsnv3bpd/fV549hZExPKqrqysDLVq1cKjjz6KSpUqYdiwYdiwYQPCw8Ph5eWlcNKKse6Vl5eHwMBAdO/eHQ888AB+/PFHfPXVV6hXrx6aN2+O+Ph4hdNWjLmbiMBoNOLrr7/G/fffj44dOwIAnnzySezcuRNLly7FihUrMGTIEBiNRnh4eCicvPwMBgN69uyJzp07Izo6GgDQr18/zJ07F5GRkQqnuztZWVlISUnBoEGDAABXrlxBeHg4Tp8+jfz8fFVfJFNL65DraW09AkA165C8vDyEhITg7bffRl5eHh555BH07dvXtVtYnOTUqVPw8/PD6NGj0bJlSxw4cADffPMNGjZsiJiYGERERDg3gMvHMRUoLS2Vy5cvWz43GAxy7tw5y+cjR46Utm3bKjLN3o3re12+fFlSUlLEz89PevfuLfXr15cuXbpI/fr1JTg4WF5//XUF01bM9d1ycnIkPj5e3nzzTZvlJk6cKA0aNJBatWpJWVmZq2NWmHmrgjmrwWCQixcvWu6/dOmS/PWvf5XIyEgZNWqUrFmzRjVbIsw5r1y5csN95r4vvfSSNG7c2GZ5NTAYDDZ5tbIOEbmxm1bWI9f3csd1iMFgEKPRaPm8pKREfv/9d8vnXbp0kfbt28uZM2dcmssRru+Wl5cnL774okRGRsojjzwi9evXlw4dOkhISIjUqlVLVq9e7dQ8HI6u849//ENatmwp3bp1k5SUFMnJybHcZ/7GnT59WurXry9///vf5dKlSyLi/ivu63tduHBBRESOHTsmffv2lXbt2snevXslPz9fREQmTZokbdq0kTVr1igZu1yu73b+/HkRERkzZow0bdpUFi9eLMXFxfLiiy9K/fr15Z133pHGjRvL0qVLFU5+ewsWLJCXX375lvdnZGRIYGCgPPTQQ5KamioDBw6U++67T6ZOnerClPa5Uzfz/6ctW7aIv7+/HDlyxFXR7tqrr74qiYmJMmjQIElLS5PCwkLLfWpeh4jc2K2goEBERI4fPy79+vVT7XrE3Gvw4MGSlpZmyT9mzBhp1qyZW6xDZsyYIZ06dZKBAwfKf//7X8u/vci1n6tTp06JTqeTf//73zd90eGuru9m/vffunWrJCQkyEMPPSR79+6VCxcuiMFgkEcffVQ6d+4s33//vdMycTj6k8FgkGHDhkmjRo1kyZIlMnjwYGnWrJn06tXLZjnzK4WZM2dKVFSUrFu3znKfO67cbtWrZ8+eInI1844dO2T37t1iMpks/f744w9p1qyZzJ07V8n4t3Wrbj169BCRq6+q+vbtKxEREVK1alWJiIiw/GeKioqSjz76SMH0t7Z//37p1q2b6HQ6iYmJkW+++UZExOZVlfln7aeffrJ57EsvvSTx8fGSl5fnsrwVUZ5u1jZv3izh4eGyadMmV8a0y65du6R58+YSHR0tb731lnTs2FHi4+PlrbfesllObesQkVt3mzdvnohcW4/s2bNHVeuRW/V64403RMQ91iHFxcXSp08fady4sSxYsEA6deokzZo1kyeffNJmOfO/+YQJE6R+/fqqeEFxq25jxowRkaud1q5da1nPmdcTR48eldDQUFm1apXTsnE4+tOpU6ckKipKvvzyS8ttGzdulEqVKtlsVjV/c0wmk8TFxcno0aPl1KlT8sUXX8g777zj8tx3crte5hXb9ZuGzSvoGjVqyAsvvOC6sBV0u27mTfnFxcVy7Ngx2blzp2WZ0tJSCQ4Olvfff9/lmctj3rx50rt3b1myZIn07NlThg0bJgaDQURu/cvTfPvgwYOlY8eOUlxc7Ja/aCvaraSkRPz8/GTFihUicushSmnnz5+XsWPHypgxY2xe0SclJcnYsWNtXsWbe6plHXKnbqWlpSIilu+jmbuvR+7Uq7i4WEREioqK5Pjx44qtQ3788Udp3LixzddfuHCh+Pn5WYaDsrIym99NQUFBMnXqVLl06ZJ89dVXTh0i7sbtun3yyScicvXf/3qlpaXi7+8v8+fPd1o2Dkd/OnbsmOh0Opv3b0Wubm6tUqWKze3mYeLTTz+VkJAQqVevnnh6esqCBQtcmrk8KtLLWlpamsTHx8svv/ziiph2uV23oKCgW3ZLTU2Vli1bWt5+czeZmZmWo7Xmz58vrVu3ltTUVBG5/ZaFffv2SUJCgnzwwQcuyWmPinYrLCyUbt263fAq2d2cP39epk+fLvv27RORa/tRTZkyRVq1anXD8mpah1S0mzV3Xo/cTS9XrkN27NghPj4+Nl8rNzdXxo0bJzVq1LDcZr3FLiUlRby9veW+++4TT09Pt92FoLzdrvfxxx9LfHy8ZGRkOC0bh6M/HT58WJo3b37DzoN5eXnSsGFDmTx5sohcW6mlp6fLU089JTqdTkaNGmWzb5I7KW8vk8kkhw4dkt27d8vEiROlevXqMm3atBteDbqT8nYzGo2SnZ0tmzdvlmeffVYCAwNl5syZYjQa3XLrirU//vhDBgwYIL169ZKsrCwRsd16cvToUdm+fbskJydLYGCgPPnkk5ZXvO7uTt3MmjdvLkOHDrXZ4d4dWf9fMf9cjRgxQiZNmnTT5dWyDhGpWDc1rUcq0kupdcjmzZslLi7OsiXF7Oeff5YaNWrInDlzROTa/5309HQZN26c5efKvH+pOypvN5PJJPv375cDBw7I5MmTJSQkxOn//hyO/lRYWChJSUnSr18/+e2330Tk2g/b3LlzpV69elJSUmJZftKkSVKzZk23P9qkPL3Mv0wXLlwoLVu2lDZt2sgPP/ygVORyq8j37MSJEzJhwgRp166dKrqJXOuyYsUKadOmjfzzn/+8YZnPPvtMHnnkEenUqZPs2rXL1RHtVp5u5l9cK1eulIMHD7o0X0VZv1VmrV27dpZX7dffp5Z1SEW7qWU9UtFezlqH3OmXe25urrRu3VqeeeYZmy0sBQUFkpycLO3bt7e8cCgqKpKRI0dKnTp13OLnypHdXnvtNWnUqJE8+OCDLvm5uieGI/OK+GaHXVq/cvjkk08kNjbWMq2aLVq0SKKjo23eprF+j1opjuplHiwKCwvlwIEDzgtcAY7+nplMJrd4G628vaw/Ly4ulieffFI6duxo+f6YT7ZXVFQkv/76qzMjl5ujupnf5nCnUy1UpJt5md9++00CAgJsBrvMzEzL391hHSLiuG7mw8fz8/PdYj3iqF5nz561PMbR65D8/HzLPlvWma/POH/+fImIiLhh36EXX3xR2rVrZ3NEpPXPmJIc1c185FpeXp5Lh23NXz5k8uTJeOyxxwDA5kRd8uc1jTw9PWE0GrF8+XIMGjQIbdu2xdq1a/Gf//zHsuyFCxdQpUoV1KlTx3Kbv7+/ixrcnCN7hYWFAQD8/PwQGxvrwhY354zvmU6nQ3BwsAtb3Kg8vUQES5YssXxuMplQqVIlJCUlwdPTE6+++ip69OiBVq1a4ezZs6hcuTIaNmzo+jLXcWS3Bx54AJmZmW5zcs6KdjMvs27dOkRERCAmJgZnzpxBUlISevfubbkOntLrEMCx3fr06YOLFy8iICBA8fWII3s98sgjuHjxIjw9PR22DhERTJo0Cd26dUPPnj3x8ssvo6SkBHq9HgaDwZLRaDRi/fr1SE5ORkREBFJTU/HDDz9Ynqe4uBhBQUGoVKmS5baaNWs6JKO9HN3Nz88PABAYGIjWrVu7tIgm/fjjj9KlSxcJCQkRvV4v69evF5EbXzEsWrRIQkNDpWvXrnLlyhU5cuSIPP744+Lp6SlPP/20TJgwQYKCgixHkSi9j4pWe4lot1tFe/Xs2dPmhIEiIufOnZNmzZqJTqeTRx99VNLT012W/3bYzbZbdna25fZJkyZJcnKyvPrqq1KpUiXp3LmznD592qUdbkWr3dTQa9u2bdK0aVN58MEH5fPPP7ecjy05OdlmuZSUFAkODpZBgwaJiMj3338viYmJEhwcLDNmzJDJkydLlSpVZNmyZQ7Ndze01E2zw1FKSoqMGDFCvv76a3nsscckOjr6hmWWLVsmYWFh8sEHH9zwn+eNN96QsWPHSrdu3SznYnEHWu0lot1uFe11/dsAO3fulGrVqklUVJTs2LHDVbHLhd1u3q2oqEjCw8NFp9NJZGSkbNy40ZXR70ir3dy9V1FRkUyYMEFGjx5t2dezrKxM5syZIwkJCZbroi1YsEB8fX3lww8/tFnP5eTkyHPPPSdJSUnSoUMHt1rPaa2bZoejrKwsy/vGW7ZskVq1alnOV2R9zhHz+5lmSm9luBOt9hLRbjd7e5kVFha61atDa+x28245OTkybNgwWb58uWvCVpBWu7l7r9zcXFm2bJllZ2nzfjizZs2SFi1aWIY1k8lkOXP6zbjj2a+11k0n8uebsCo2e/ZsZGdnIyoqCqNGjYK3t7fN/bm5uZgzZw4+/PBDnDx5EgEBAaq44KhWewHa7eboXmJ1oWClsVv5urlTL0C73dTQ604ZzXmmTp2KU6dOYfXq1W71b3w7Wu4GQN37HB09elSaNm0qMTExkpSUJFWrVpWEhATLHu3WWxR++ukniY6OlrFjx4qI+55pV0S7vUS0202rvUTYzYzd3IMaet0qo/lM0OYc5j8TEhIsW7jcfUu4lrtZU/VwNG/ePGnTpo3lfcvMzEyJi4uTgQMHysmTJ0Xk2o54ly9flnfffVcCAgIsZ2vdsmXLbTfvKUWrvUS0202rvUTYjd3cixp6lSejeXjIysqSkJAQ2bt3r+Xx5mXc6XQWZlruZk21h/KXlZXhl19+QWhoqGUzac2aNfHCCy8gIyMDH3zwAYBrh2z6+PigZ8+eaN++PYYOHYr27dujV69eOHfunJI1bqDVXoB2u2m1F8BuALu5EzX0Km9Gvf7qr9/NmzcjODgYLVq0wOHDh5GQkIDY2FiUlJS43W4EWu52PdUOR56enigtLUVJSQlMJhOMRiMAYMCAAWjRogV27dqFn376CcC1c1uUlZXh4sWLOHDgAKKiopCVlYUmTZoo1uFmtNoL0G43rfYC2I3d3KubGnpVJCMAHD58GI0bN8a0adMQGxuLunXrIjMz0+bcRe5Cy91u4PqNVXfPvDluy5Ytotfr5aeffhKRa5tSt27dKo0aNZJPP/3U8pg9e/ZIZGSkNG/e3C0vgiii3V4i2u2m1V4i7MZu7kUNvezJGB0dLTqdTtq2bWs5O7w70nK3m3Hb4ejQoUOyffv2m95n/maUlJRIx44dpUuXLiJiu7NXRESEvPLKK5bPL1y44BbnUdFqLxHtdtNqLxF2Y7er3KWbGno5IuOMGTNE5OopBd544w356quvHJrRXlruVlFuNxyVlpbK6NGjRafTyfTp023us96Bq6ysTLKysmTr1q3i5eUl7733nmUnsIsXL0psbKy8++67IuIee8hrtZeIdrtptZcIu5n/zm7u0U0NvZyR0V1ouZu93Go4euedd8TPz0/atm0r+/fvv+Vyb7/9tnh7e0tqaqqIXD3JVGhoqDzxxBOyfft2mTRpkjRo0ECOHDniqui3pdVeItrtptVeIuwmwm7u1E0NvdSQ0V5a7nY33GY4Onr0qPj6+srAgQMtt508eVLOnz9vubJvUVGRDBo0SGrXri1LliyxeWWwYMEC6dChg8TExEhcXJzs2rXL5R1uRqu9RLTbTau9RNiN3dyrmxp6qSGjvbTc7W65zXB0+fJlmT59utSuXVuOHDkigwYNkiZNmkjjxo2lR48e8u2334qIyK5duyQvL8/yOOuTehmNRjl16pTLs9+OVnuJaLebVnuJsJsIu7kTNfRSQ0Z7abnb3VJsOFq9erVs2rRJzp49a7ktPT1dIiMjRafTyeOPPy7r1q2T5cuXy0MPPSTx8fE3XLPFHWm1l4h2u2m1lwi7sZt7UUMvNWS0l5a7OZrLh6OlS5dKaGiotGrVSkJCQqRdu3by+eefi8jVncLS0tJk5syZNlPq7t27pXPnzjJ+/HhXxy03rfYS0W43rfYSYTd2cy9q6KWGjPbScjdncdlwZDAYZP78+XLffffJ+++/L6WlpfLdd9/J8OHDpUePHlJSUiIiVw//KygouOHxHTt2lNGjR7sqbrlptZeIdrtptZcIu4mwmztRQy81ZLSXlrs5m8vOkF1UVITz589jxIgRliv4tm3bFk2bNkV+fj7KysoAAAEBAfD397d5bE5ODgoKChAREeGquOWm1V6AdrtptRfAbgC7uRM19FJDRntpuZuzeTrzyU+cOIFGjRpBp9MhKCgI/fv3R0xMDPR6PUwmE/R6PcLCwlBUVARvb+8bHn/58mVcunQJL774IkQE/fv3d2bcctNqL0C73bTaC2A3dnOvbmropYaM9tJyN5dyxuaoVatWSXh4uDRp0kRatWol77//vs391jt2DRkyREaOHCkitiebWrVqlTz11FNSvXp1SUhIkF9//dUZUStEq71EtNtNq71E2M2M3dyjmxp6qSGjvbTcTQkOH442btwo4eHh8q9//UvWr18vkydPFi8vL1m0aJHl/U2TySQmk0lKSkokNjZWli1bdsPzHDx4UGbOnCkbNmxwdES7aLWXiHa7abWXCLuxm3t1U0MvNWS0l5a7KcVhw5H5xFAzZsyQFi1ayJUrVyz3jRs3Th544AFZs2aNzWPOnDkj4eHhcvz4cREROX78uEycONFRkRxCq71EtNtNq71E2I3d3KubGnqpIaO9tNxNaQ7bIVun0wEADh8+jIiICHh5ecFgMAAAZs2aBV9fX6SlpSErK8vymM2bNyMsLAy1atVCcnIymjZtioyMDBgMBoiIo6LdFa32ArTbTau9AHZjN/fqpoZeashoLy13U5y9U9XGjRvlmWeekbfeesvmlOGLFi2SgIAAy/uY5kl20aJFEhkZKVu2bBGRqxPvgAEDpGrVqlK9enVp1qyZ7Nmzx944DqPVXiLa7abVXiLsJsJu7tRNDb3UkNFeWu7mbio8HJ09e1YSExMlNDRUhg4dKjExMRIUFGT5Rh07dkzq1KkjL730koiI5fosIiI1a9aUt956S0SuXq8lMTFR6tatKytXrnRAlbuj1V4i2u2m1V4i7MZu7tVNDb3UkNFeWu7mrio0HBUVFcmIESMkKSnJ5loqrVq1suz5np+fL7NmzZJKlSpJRkaGiFx7X7Rjx47yxBNPWB63d+/euy7gCFrtJaLdblrtJcJu7HaVu3RTQy81ZLSXlru5swrtc1S5cmX4+Phg5MiRaNCggeUEUj179sSRI0cgIggICMCQIUNw//33Y+DAgfj999+h0+mQkZGB7Oxs9OnTx/J8LVq0cOhbhPbSai9Au9202gtgN3a7yl26qaGXGjLaS8vd3FpFpynrveHN500YMmSIjBkzxma506dPS6NGjSQ8PFz69+8vtWvXls6dO0tWVpZdU5yzabWXiHa7abWXCLuJsJs7UUMvNWS0l5a7uSudyN3vnt6+fXuMGTMGI0aMgMlkAgDo9XqcPHkS+/btw65duxAXF4cRI0bc9TDnSlrtBWi3m1Z7AezGbu5FDb3UkNFeWu7mFu52uvr111+lRo0aNu9jWu8MplZa7SWi3W5a7SXCbmql1W5q6KWGjPbScjd3Yfd5juTPDU47duyAv7+/5X3MGTNmIDk5GdnZ2Y6Z3lxMq70A7XbTai+A3dRKq93U0EsNGe2l5W7uxu4Lz5pPPrV7927069cPmzZtwtixY1FcXIxly5YhNDTUYSFdSau9AO1202ovgN3USqvd1NBLDRntpeVubuduNjuVlJRIo0aNRKfTiY+Pj7z22mt3tx3LTWi1l4h2u2m1lwi7qZVWu6mhlxoy2kvL3dzJXe+Q/fDDD6Nx48Z488034evr66iZTXFa7QVot5tWewHsplZa7aaGXmrIaC8td3MXdz0cGY1GeHh4OCqP29BqL0C73bTaC2A3tdJqNzX0UkNGe2m5m7twyKH8RERERFph99FqRERERFrE4YiIiIjICocjIiIiIiscjoiIiIiscDgiIiIissLhiIiIiMgKhyMiIiIiKxyOiEhzRo4cCZ1OB51OBy8vL9SoUQMPP/wwPvzwQ5hMpnI/T2pqKqpUqeK8oETkljgcEZEmde/eHZmZmUhPT8e6devQqVMnJCcnIzExEWVlZUrHIyI3xuGIiDTJx8cHNWvWRJ06dXD//ffj73//O9LS0rBu3TqkpqYCAN58803ExMTAz88PYWFhGDduHAoLCwEAW7duxahRo5CXl2fZCjV9+nQAQGlpKaZMmYI6derAz88PrVu3xtatW5UpSkQOx+GIiO4ZnTt3RlxcHNasWQMA0Ov1WLBgAX755RcsWbIE3377LZ577jkAQNu2bTF//nwEBgYiMzMTmZmZmDJlCgBgwoQJ2LlzJ1auXImDBw9iwIAB6N69O06cOKFYNyJyHF5bjYg0Z+TIkcjNzcUXX3xxw32DBg3CwYMHcfjw4Rvu++yzz/DUU0/hwoULAK7uczRx4kTk5uZalsnIyEDDhg2RkZGB2rVrW27v0qULWrVqhVdffdXhfYjItTyVDkBE5EoiAp1OBwDYvHkzZs+ejaNHjyI/Px9lZWW4fPkyiouLUbly5Zs+/tChQzAajYiMjLS5vbS0FNWrV3d6fiJyPg5HRHRPOXLkCBo0aID09HQkJibi6aefxj//+U9Uq1YNO3bswOjRo3HlypVbDkeFhYXw8PDAvn374OHhYXOfv7+/KyoQkZNxOCKie8a3336LQ4cOYdKkSdi3bx9MJhPmzZsHvf7q7peffvqpzfLe3t4wGo02t8XHx8NoNCI7OxsdOnRwWXYich0OR0SkSaWlpcjKyoLRaMS5c+ewfv16zJ49G4mJiRg+fDh+/vlnGAwGvPPOO/jrX/+K7777DgsXLrR5jvDwcBQWFuKbb75BXFwcKleujMjISAwdOhTDhw/HvHnzEB8fj/Pnz+Obb75BbGwsevXqpVBjInIUHq1GRJq0fv161KpVC+Hh4ejevTu2bNmCBQsWIC0tDR4eHoiLi8Obb76JOXPmIDo6GsuXL8fs2bNtnqNt27Z46qmnkJSUhJCQELz++usAgI8++gjDhw/H3/72NzRp0gR9+vTBnj17UK9ePSWqEpGD8Wg1IiIiIivcckRERERkhcMRERERkRUOR0RERERWOBwRERERWeFwRERERGSFwxERERGRFQ5HRERERFY4HBERERFZ4XBEREREZIXDEREREZEVDkdEREREVjgcEREREVn5f32A5Y3NdtRHAAAAAElFTkSuQmCC",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "\n",
        "import matplotlib.pyplot as plt\n",
        "#Creating a simple time series\n",
        "inflation_data[['CPI Inflation', 'Core CPI Inflation', 'PCE Inflation', 'Core PCE Inflation']].plot()\n",
        "\n",
        "plt.xlabel(\"Date\")\n",
        "plt.ylabel(\"Inflation Rate in %\")\n",
        "\n",
        "plt.title(\"U.S. Daily Inflation Forecast\")\n",
        "\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Dv4BHawyhpCy"
      },
      "source": [
        "Source:https://www.clevelandfed.org/indicators-and-data/inflation-nowcasting"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ZhfBAvjeg0i2"
      },
      "source": [
        "Research Questions:\n",
        "(1): Can we see in real time the effects of Trump's tariffs on inflation in the United States?\n",
        "\n",
        "(2) Are American consumers experiencing more inflation compared to their [Canadian*] and [Mexican*] counterparts? (*subject to change based on trajectory of trade policy)"
      ]
    }
  ],
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "display_name": ".venv",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "name": "python",
      "version": "3.12.3"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}