fdovila/charts-in-colaboratory.ipynb

## charts-in-colaboratory.ipynb
{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/gist/fdovila/598cc6eb446ac3cded2d1610a15281ed/charts-in-colaboratory.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import numpy as np\n",
        "from sklearn.linear_model import LinearRegression\n",
        "import scipy.stats as stats\n",
        "import matplotlib.pyplot as plt"
      ],
      "metadata": {
        "id": "dAcw6qjFRrGw"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 642
        },
        "id": "08RTGn_xE3MP",
        "outputId": "3c9faa18-037e-4790-cd72-eba3f110b842"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "4to Basico: Correlation = -0.3095178725688288, p-value = 0.4556539917772281\n",
            "II Medio: Correlation = 0.6632072721345847, p-value = 0.07300625722394763\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x600 with 2 Axes>"
            ],
            "image/png": 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mxg7nklCTMWlq58m58wRce+21io+PV9u2bfXee+/Jz8+vESMDyIPOutA4FBUVqV+/furYsaMmT5583m0NHjzY8d+dO3fWtddeq5iYGK1evVq33XZbfYbdIMgDK1zovDh16pTefvttTZgw4YLbctfzgly4wvly4LOayt8K/j1QoSbnRWP8reCRPTcwcuRIffLJJ/rqq6905ZVXOtpDQ0N1+vRpHTt2zKl/YWGhQkNDXRyla1U3JlWJj4+XJO3YscMVoTUKHx8fXXXVVYqLi1NGRoa6dOmiOXPmNOlzpLoxqYqnnyMbNmzQwYMHdf3116tZs2Zq1qyZ1qxZo7lz56pZs2YKCQlpcufJhcbEZrNVWsfTz5Pfa9mypf7whz9ox44dTfpvCRpffeZBZ9t//4YtdziXL5T7HD9+XL1791ZAQIA++OADNW/evFbbb9eunYKCgtzib1x95oHufE5INRuLf/7znzp58qSGDh1a6+27y3lRn7mwu58TF8qBm9Lfivr894CnnxdS4/ytoCB1CTMMQyNHjtQHH3ygL7/8UtHR0U7L4+Li1Lx5c2VlZTnatm3bpr1791b7nLC7u9CYVGXz5s2SpLCwsAaO7tJht9tVWlraJM+R6pwdk6p4+jly22236YcfftDmzZsdn27dumnIkCGO/25q58mFxqSqW409/Tz5vRMnTmjnzp0KCwvjbwkaRUPkQdHR0QoNDXVap6ioSDk5OZfsuVyT3KeoqEi9evWSj4+PPvroo4u6G3b//v06cuTIJf03riHyQHc8J6TajcWrr76qO+64Q61bt671ftzhvKhKXXJhdz0nqnNuDtxU/lZUpy7/HvDk8+KsRvlbUedp0dFgHn/8ccNisRirV6828vPzHZ+TJ086+jz22GNGmzZtjC+//NL47rvvjISEBCMhIaERo25YFxqTHTt2GFOnTjW+++47Y9euXcaHH35otGvXzrjpppsaOfKGM27cOGPNmjXGrl27jP/85z/GuHHjDJPJZHz++eeGYTS9c8Qwzj8mTfEcqcrv3yzSFM+T3zt3TJrieTJmzBhj9erVxq5du4xvv/3WSExMNIKCgv5fe/cbFdVxvwH8WZFFYBcXBHFJcBcwosbEQnKqxgKJRDdJQ8Aa0cgJohFQo0KT2B5qUU9pU2hje6pNTWwjEo6mnKhY2kZjkkKkiFVJBDQGFwTRCqHVguJfkO/vhT9uuLIgWFgaeT7n3Bd37ty5c2dnly9zZ2eloaFBRNhHyP76Kg4KDAyUXbt2Kfvp6eliMBjkT3/6k5SVlUlkZKT4+fnJ1atX7XZvvXGndmhqapLJkyfLQw89JJWVlao8ra2tSjkd2+HSpUvy2muvSXFxsVRXV8vHH38swcHB8sADD8i1a9cG5D57oq/iwG96nxDp2ftDRMRqtYpGo5E9e/bYLOde6Bd9EQvfC31CpPu2GEyfFSJ98//AYOgX7Qbqs4IDUv/DANjcMjMzlTxXr16VZcuWibu7u7i4uMisWbOkrq5u4Crdz+7UJrW1tRIaGioeHh7i5OQkY8aMkVWrVklTU9PAVrwfLVq0SEwmk2i1WvHy8pLw8HDVh8tg6yMi3bfJYOwjttw+IDUY+8ntOrbJYOwnc+fOFaPRKFqtVu677z6ZO3euVFZWKsfZR8je+ioOuv2ctrY2SU1NFW9vb3FycpLw8HCpqKiw01313p3aIT8/v8s81dXVqnLaz7ly5YrMnDlTvLy8xNHRUUwmk8THx0t9fb39b7AX+ioO/Kb3CZGevT9ERFJSUsTX11du3rzZZTnf9H7RF7HwvdAnRLpvi8H0WSHSN/8PDIZ+0W6gPis0/184ERERERERERGRXXANKSIiIiIiIiIisisOSBERERERERERkV1xQIqIiIiIiIiIiOyKA1JERERERERERGRXHJAiIiIiIiIiIiK74oAUERERERERERHZFQekiIiIiIiIiIjIrjggRUREREREREREdsUBKSLqkYKCAmg0GjQ2NgIAtm7dCoPB0K/XjIuLQ1RUVL9eQ6PRYPfu3QCAmpoaaDQaHD16tF+vSURERPcOxkhERHeHA1JEdhYXFweNRoP09HRV+u7du6HRaAaoVr03d+5cnDx5ckDr0B4Atm/e3t6YPXs2Tp06dVfl+fr6oq6uDhMnTuzjmn7NbDar6ty+3d4fBpPf//73mDRpEnQ6HQwGA4KCgvDzn/98oKtFRER2xhip7zBGujcwRqJ73dCBrgDRYDRs2DBkZGQgMTER7u7ufVbujRs3oNVq+6y87jg7O8PZ2dku17qTiooK6PV6WK1WJCQkICIiAmVlZXBwcOhVOQ4ODhg1alQ/1fJrP/nJTxAfH69K0+v1/X7d/nS3fW/Lli1ITk7Ghg0bEBYWhuvXr6OsrAzHjh3rh1reYs/3CRER9Q5jpL7FGGngMUYi6hpnSBENgCeffBKjRo264xOOnTt34sEHH4STkxPMZjPWr1+vOm42m5GWlobY2Fi4ubkhISFBmSb+l7/8BYGBgXBxccHzzz+PK1euICsrC2azGe7u7li5ciVu3ryplJWdnY1HH30Uer0eo0aNwvz589HQ0NBl3W6fjt7VU612Z86cQXR0NAwGAzw8PBAZGYmamhrl+M2bN/HKK6/AYDBgxIgR+MEPfgAR6VF7jhw5EkajEaGhoVizZg2++OILVFZWAgA2bdqEgIAAaLVaBAYGIjs7u8tybE1HP378OJ599lm4ublBr9cjJCQEVVVV2L9/PxwdHVFfX68qIzk5GSEhId3Wt72NO26urq4AbgViPj4+OH/+vJL/u9/9Lp544gm0tbUBuDWFftOmTXj66afh7OwMf39/7NixQ3WN8vJyTJ8+Hc7OzhgxYgQSEhLQ3NysHC8oKMC3v/1tuLq6wmAwYNq0aTh9+jQA218DSE5OxuOPP67sP/7441i+fDmSk5Ph6ekJi8UCADh27Biefvpp6HQ6eHt748UXX8S///3vLtsiLy8P0dHReOmllzBmzBg8+OCDeOGFF/Czn/1MlW/Lli3Ke8FoNGL58uXKsdraWkRGRkKn08HNzQ3R0dH46quvlOPr1q3Dt771LfzhD3+An58fhg0bBgBobGzE4sWL4eXlBTc3N0yfPh2lpaVd1pWIiPofYyTGSIyRbmGMRIMBB6SIBoCDgwNef/11bNy4EWfPnrWZp6SkBNHR0Zg3bx7Ky8uxbt06pKamYuvWrap8b7zxBiZNmoTPP/8cqampAIArV65gw4YN+OMf/4i9e/eioKAAs2bNwgcffIAPPvgA2dnZePvtt1V/oFtaWpCWlobS0lLs3r0bNTU1iIuL6/E9HT58GHV1dairq8PZs2cxZcoUJehoaWmBxWKBXq9HYWEhioqKoNPp8NRTT+HGjRsAgPXr12Pr1q3YsmUL/v73v+PChQvIzc3tRave0v5E8saNG8jNzUVSUhJeffVVHDt2DImJiVi4cCHy8/N7VNY///lPhIaGwsnJCX/7299QUlKCRYsWobW1FaGhofD391cFby0tLdi2bRsWLVrU63q3W716NcxmMxYvXgwAePPNN3HgwAFkZWVhyJCvP7JTU1Mxe/ZslJaWIiYmBvPmzcOJEycAAJcvX4bFYoG7uzsOHz6M999/Hx9//LESoLS2tiIqKgphYWEoKytDcXExEhISev11iKysLGi1WhQVFeGtt95CY2Mjpk+fjqCgIBw5cgR79+7FV199hejo6C7LGDVqFA4ePKgEerZs2rQJL7/8MhISElBeXo68vDyMGTMGANDW1obIyEhcuHABn376KT766COcOnUKc+fOVZVRWVmJnTt3YteuXUowPWfOHDQ0NGDPnj0oKSlBcHAwwsPDceHChV61AxER9R3GSIyRusIYqTPGSPSNJ0RkVwsWLJDIyEgREZkyZYosWrRIRERyc3Ol41ty/vz5MmPGDNW5q1atkgkTJij7JpNJoqKiVHkyMzMFgFRWVippiYmJ4uLiIpcuXVLSLBaLJCYmdlnPw4cPCwDlnPz8fAEg//nPf5TrDB8+3Oa5K1euFJPJJA0NDSIikp2dLYGBgdLW1qbkuX79ujg7O8uHH34oIiJGo1F+8YtfKMdbWlrk/vvvV9rKltvrdO7cOXnsscfkvvvuk+vXr8tjjz0m8fHxqnPmzJkjzzzzjLIPQHJzc0VEpLq6WgDI559/LiIiKSkp4ufnJzdu3LB5/YyMDBk/fryyv3PnTtHpdNLc3NxlnU0mk2i1WnF1dVVt+/fvV/JUVVWJXq+XH/7wh+Ls7Czbtm1TlQFAlixZokqbPHmyLF26VERENm/eLO7u7qp6/PWvf5UhQ4ZIfX29nD9/XgBIQUGBzTp27KPtkpKSJCwsTNkPCwuToKAgVZ60tDSZOXOmKu3MmTMCQCoqKmxe69y5czJlyhQBIGPHjpUFCxZITk6O3Lx5U8nj4+Mjq1evtnn+vn37xMHBQWpra5W048ePCwA5dOiQiIisXbtWHB0dlf4oIlJYWChubm5y7do1VXkBAQHy9ttv27wWERH1L8ZItzBGYowkwhiJBgfOkCIaQBkZGcjKylKe2nR04sQJTJs2TZU2bdo0WK1W1TTyRx99tNO5Li4uCAgIUPa9vb1hNpuh0+lUaR2nm5eUlCAiIgKjR4+GXq9HWFgYgFtTfXtj8+bNeOedd5CXlwcvLy8AQGlpKSorK6HX66HT6aDT6eDh4YFr166hqqoKTU1NqKurw+TJk5Vyhg4davPebLn//vvh6uoKHx8fXL58GTt37oRWq+2yDW21ty1Hjx5FSEgIHB0dbR6Pi4tDZWUlDh48CODWFP3o6GhlanlXVq1ahaNHj6q2jvfq7++PN954AxkZGXjuuecwf/78TmVMnTq10377fZ04cQKTJk1S1WPatGloa2tDRUUFPDw8EBcXB4vFgoiICPzmN79BXV1dj9qko0ceeUS1X1paivz8fOU11ul0GDduHACgqqrKZhlGoxHFxcUoLy9HUlISWltbsWDBAjz11FNoa2tDQ0MDzp07h/DwcJvnnzhxAr6+vvD19VXSJkyYAIPBoHqdTSaT0h/b69rc3IwRI0ao6ltdXd1lXYmIyH4YIzFGYozEGInufVzUnGgAhYaGwmKxICUlpVdTvzuy9Yf99uBAo9HYTGv/vn379GWLxYJt27bBy8sLtbW1sFgsynTxnsjPz8eKFSvw3nvv4eGHH1bSm5ub8cgjj2Dbtm2dzun4B/BuFRYWws3NDSNHjuzThS/vtCDpyJEjERERgczMTPj5+WHPnj0oKCi4Y7menp7KdOqu7N+/Hw4ODqipqUFrayuGDu3bj+vMzEysXLkSe/fuRU5ODn784x/jo48+wpQpUzBkyJBOa1O0tLR0KuP2vtfc3IyIiAhkZGR0yms0Grutz8SJEzFx4kQsW7YMS5YsQUhICD799NMeB9x3YquuRqPR5uvV3z/VTUREd8YYiTFSVxgjMUaiewdnSBENsPT0dPz5z39GcXGxKn38+PEoKipSpRUVFWHs2LG9/mWUO/nyyy9x/vx5pKenIyQkBOPGjet2sU5bKisr8fzzz+NHP/oRvve976mOBQcHw2q1YuTIkRgzZoxqGz58OIYPHw6j0Yh//OMfyjmtra0oKSnp0bX9/PwQEBDQKdDqqg0nTJjQo3IffvhhFBYW2gw02i1evBg5OTnYvHkzAgICOj1tvBs5OTnYtWsXCgoKUFtbi7S0tE552p84dtwfP348gFv3XVpaisuXLyvHi4qKMGTIEAQGBippQUFBSElJwYEDBzBx4kRs374dwK0A+PangR0XMe1KcHAwjh8/DrPZ3Ol1vtMT0Y7aX5/Lly9Dr9fDbDbjk08+sZl3/PjxOHPmDM6cOaOkffHFF2hsbOz2dQ4ODkZ9fT2GDh3aqa6enp49risREfUfxkiMkW7HGIkxEt1bOCBFNMAeeughxMTEYMOGDar0V199FZ988gnS0tJw8uRJZGVl4be//S1ee+21Pq/D6NGjodVqsXHjRpw6dQp5eXk2/8B35erVq4iIiEBQUBASEhJQX1+vbAAQExMDT09PREZGorCwENXV1SgoKMDKlSuVBUuTkpKQnp6O3bt348svv8SyZcvQ2Nj4X93XqlWrsHXrVmzatAlWqxW/+tWvsGvXrh634fLly3Hx4kXMmzcPR44cgdVqRXZ2NioqKpQ8FosFbm5u+OlPf4qFCxf2qNxLly6p2qi+vh4XL14EAJw9exZLly5FRkYGvvOd7yAzMxOvv/56p+Dq/fffx5YtW3Dy5EmsXbsWhw4dUhbkjImJwbBhw7BgwQIcO3ZMeSr74osvwtvbG9XV1UhJSUFxcTFOnz6Nffv2wWq1KsHa9OnTceTIEbz77ruwWq1Yu3Ztj35i+OWXX8aFCxfwwgsv4PDhw6iqqsKHH36IhQsXqr5C0dHSpUuRlpaGoqIinD59GgcPHkRsbCy8vLyUKffr1q3D+vXrsWHDBlitVnz22WfYuHEjgFu/xtT+Hvrss89w6NAhxMbGIiwsrNsnh08++SSmTp2KqKgo7Nu3DzU1NThw4ABWr16NI0eO3PFeiYio/zFGYozEGIkxEt3jBnoRK6LBxtZiiNXV1aLVauX2t+SOHTtkwoQJ4ujoKKNHj5Zf/vKXquMmk0l+/etfq9JsLaS5du1amTRpUrf12L59u5jNZnFycpKpU6dKXl6eavHK7hbsbF/o0tbWrq6uTmJjY8XT01OcnJzE399f4uPjpampSURuLdCZlJQkbm5uYjAY5JVXXpHY2NheLdhpy+9+9zvx9/cXR0dHGTt2rLz77ruq4+hmwU4RkdLSUpk5c6a4uLiIXq+XkJAQqaqqUpWRmpoqDg4Ocu7cuS7r0c5kMtlsp8TERGlra5Pw8HCxWCyqxU1XrFghAQEByuKpAOTNN9+UGTNmiJOTk5jNZsnJyVFdp6ysTJ544gkZNmyYeHh4SHx8vHJ+fX29REVFidFoFK1WKyaTSdasWaNaJHPNmjXi7e0tw4cPl+9///uyfPnyTgt2JiUldbq/kydPyqxZs8RgMIizs7OMGzdOkpOTVffT0Y4dO+SZZ55R6uLj4yOzZ8+WsrIyVb633npLAgMDxdHRUYxGo6xYsUI5dvr0aXnuuefE1dVV9Hq9zJkzR+rr65Xjtvq/iMjFixdlxYoV4uPjI46OjuLr6ysxMTGqxT+JiMh+GCMxRmKM9DXGSDQYaERu+xIsERH1yksvvYR//etfyMvLs8v1NBoNcnNzERUVZZfrEREREd0NxkhE1B0uak5EdJeamppQXl6O7du32y3QIiIiIvpfxxiJiHqCA1JERHcpMjIShw4dwpIlSzBjxoyBrg4RERHR/wTGSETUE/zKHhERERERERER2RV/ZY+IiIiIiIiIiOyKA1JERERERERERGRXHJAiIiIiIiIiIiK74oAUERERERERERHZFQekiIiIiIiIiIjIrjggRUREREREREREdsUBKSIiIiIiIiIisisOSBERERERERERkV1xQIqIiIiIiIiIiOzq/wAJBwUX43tTPQAAAABJRU5ErkJggg==\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "\n",
        "# Input data\n",
        "exposure_4to_basico = np.array([31, 39, 47, 53, 36, 29, 20, 47])\n",
        "exposure_II_medio = np.array([20, 20, 23, 27, 33, 37, 27, 33])\n",
        "scores_4to_basico = np.array([0.992509363, 1, 0.992509363, 0.981273408, 0.996254682, 0.996254682, 0.988764045, 0.992509363])\n",
        "scores_II_medio = np.array([0.996183206, 0.977099237, 0.977099237, 0.992366412, 1, 0.996183206, 0.992366412, 1])\n",
        "\n",
        "# Correlation and p-value\n",
        "corr_4to_basico, p_4to_basico = stats.pearsonr(exposure_4to_basico, scores_4to_basico)\n",
        "corr_II_medio, p_II_medio = stats.pearsonr(exposure_II_medio, scores_II_medio)\n",
        "\n",
        "print(f'4to Basico: Correlation = {corr_4to_basico}, p-value = {p_4to_basico}')\n",
        "print(f'II Medio: Correlation = {corr_II_medio}, p-value = {p_II_medio}')\n",
        "\n",
        "# Plot\n",
        "plt.figure(figsize=(12, 6))\n",
        "plt.subplot(1, 2, 1)\n",
        "plt.scatter(exposure_4to_basico, scores_4to_basico)\n",
        "plt.title('4to Basico')\n",
        "plt.xlabel('Normalized Policy Exposure Score')\n",
        "plt.ylabel('Normalized Test Score')\n",
        "\n",
        "plt.subplot(1, 2, 2)\n",
        "plt.scatter(exposure_II_medio, scores_II_medio)\n",
        "plt.title('II Medio')\n",
        "plt.xlabel('Normalized Policy Exposure Score')\n",
        "plt.ylabel('Normalized Test Score')\n",
        "\n",
        "plt.tight_layout()\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Predict values\n",
        "y_pred_4to_basico = model_4to_basico.predict(X_4to_basico)\n",
        "y_pred_II_medio = model_II_medio.predict(X_II_medio)\n",
        "\n",
        "# Calculate residuals\n",
        "residuals_4to_basico = scores_4to_basico - y_pred_4to_basico\n",
        "residuals_II_medio = scores_II_medio - y_pred_II_medio\n",
        "\n",
        "# Plot residuals\n",
        "plt.figure(figsize=(12, 6))\n",
        "\n",
        "plt.subplot(1, 2, 1)\n",
        "plt.scatter(y_pred_4to_basico, residuals_4to_basico, color='blue')\n",
        "plt.axhline(0, color='red')\n",
        "plt.title('Residuals for 4to Basico')\n",
        "plt.xlabel('Predicted Values')\n",
        "plt.ylabel('Residuals')\n",
        "\n",
        "plt.subplot(1, 2, 2)\n",
        "plt.scatter(y_pred_II_medio, residuals_II_medio, color='blue')\n",
        "plt.axhline(0, color='red')\n",
        "plt.title('Residuals for II Medio')\n",
        "plt.xlabel('Predicted Values')\n",
        "plt.ylabel('Residuals')\n",
        "\n",
        "plt.tight_layout()\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 607
        },
        "id": "iR40QJpdVv2W",
        "outputId": "c494c579-f475-46b7-f4cc-6d2d3d8142dd"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x600 with 2 Axes>"
            ],
            "image/png": 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          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Plot residuals\n",
        "plt.figure(figsize=(12, 6))\n",
        "\n",
        "plt.subplot(1, 2, 1)\n",
        "plt.scatter(y_pred_4to_basico, np.abs(residuals_4to_basico), color='blue')\n",
        "plt.axhline(0, color='red')\n",
        "plt.title('Residuals for 4to Basico')\n",
        "plt.xlabel('Predicted Values')\n",
        "plt.ylabel('Residuals')\n",
        "plt.yscale('log')\n",
        "plt.ylim([10**-6, 10**-1])\n",
        "\n",
        "plt.subplot(1, 2, 2)\n",
        "plt.scatter(y_pred_II_medio, np.abs(residuals_II_medio), color='blue')\n",
        "plt.axhline(0, color='red')\n",
        "plt.title('Residuals for II Medio')\n",
        "plt.xlabel('Predicted Values')\n",
        "plt.ylabel('Residuals')\n",
        "plt.yscale('log')\n",
        "plt.ylim([10**-6, 10**-1])\n",
        "\n",
        "plt.tight_layout()\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 607
        },
        "id": "c8hUAEi1WHEG",
        "outputId": "b7643a87-6bc1-4e2f-f0fd-7d22d5bcca6e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x600 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.metrics import mean_squared_error\n",
        "from scipy.optimize import curve_fit"
      ],
      "metadata": {
        "id": "oXEVHutcZlIx"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Define a quadratic function for curve fitting\n",
        "def func(x, a, b, c):\n",
        "    return a * x**2 + b * x + c\n",
        "\n",
        "# Input data\n",
        "exposure_4to_basico = np.array([31, 39, 47, 53, 36, 29, 20, 47])\n",
        "exposure_II_medio = np.array([20, 20, 23, 27, 33, 37, 27, 33])\n",
        "scores_4to_basico = np.array([0.992509363, 1, 0.992509363, 0.981273408, 0.996254682, 0.996254682, 0.988764045, 0.992509363])\n",
        "scores_II_medio = np.array([0.996183206, 0.977099237, 0.977099237, 0.992366412, 1, 0.996183206, 0.992366412, 1])\n",
        "years = np.array([2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019])  # for annotation\n",
        "\n",
        "# Fit a quadratic curve to the data\n",
        "popt_4to_basico, _ = curve_fit(func, exposure_4to_basico, scores_4to_basico)\n",
        "popt_II_medio, _ = curve_fit(func, exposure_II_medio, scores_II_medio)\n",
        "\n",
        "# Compute residuals\n",
        "residuals_4to_basico = scores_4to_basico - func(exposure_4to_basico, *popt_4to_basico)\n",
        "residuals_II_medio = scores_II_medio - func(exposure_II_medio, *popt_II_medio)\n",
        "\n",
        "# Plotting\n",
        "fig, axs = plt.subplots(2, 1, figsize=(8, 10))\n",
        "\n",
        "# Subplot 1: Quadratic fit\n",
        "axs[0].scatter(exposure_4to_basico, scores_4to_basico, label='4to Basico', color='blue')\n",
        "axs[0].scatter(exposure_II_medio, scores_II_medio, label='II Medio', color='red')\n",
        "x_range = np.linspace(15, 55, 400)\n",
        "axs[0].plot(x_range, func(x_range, *popt_4to_basico), color='blue')\n",
        "axs[0].plot(x_range, func(x_range, *popt_II_medio), color='red')\n",
        "axs[0].set_xlabel('Normalized Policy Exposure Score')\n",
        "axs[0].set_ylabel('Normalized Test Score')\n",
        "axs[0].legend()\n",
        "\n",
        "# Subplot 2: Residuals\n",
        "axs[1].scatter(exposure_4to_basico, np.abs(residuals_4to_basico), color='blue', label='4to Basico')\n",
        "axs[1].scatter(exposure_II_medio, np.abs(residuals_II_medio), color='red', label='II Medio')\n",
        "for i, txt in enumerate(years):\n",
        "    axs[1].annotate(txt, (exposure_4to_basico[i], np.abs(residuals_4to_basico[i])))\n",
        "    axs[1].annotate(txt, (exposure_II_medio[i], np.abs(residuals_II_medio[i])))\n",
        "axs[1].set_xlabel('Normalized Policy Exposure Score')\n",
        "axs[1].set_ylabel('Residuals')\n",
        "axs[1].set_yscale('log')\n",
        "axs[1].set_ylim([10**-6, 10**-1])\n",
        "axs[1].legend()\n",
        "\n",
        "plt.tight_layout()\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "RyUNhZCvXLmQ",
        "outputId": "07eab2c4-83ff-43ec-c355-8883b4d12777"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x1000 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "from sklearn.metrics import mean_squared_error\n",
        "from scipy.optimize import curve_fit\n",
        "\n",
        "# Define a quadratic function for curve fitting\n",
        "def func(x, a, b, c):\n",
        "    return a * x**2 + b * x + c\n",
        "\n",
        "# Input data\n",
        "exposure_4to_basico = np.array([31, 39, 47, 53, 36, 29, 20, 47])\n",
        "exposure_II_medio = np.array([20, 20, 23, 27, 33, 37, 27, 33])\n",
        "scores_4to_basico = np.array([0.992509363, 1, 0.992509363, 0.981273408, 0.996254682, 0.996254682, 0.988764045, 0.992509363])\n",
        "scores_II_medio = np.array([0.996183206, 0.977099237, 0.977099237, 0.992366412, 1, 0.996183206, 0.992366412, 1])\n",
        "years = np.array([2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019])  # for annotation\n",
        "\n",
        "# Fit a quadratic curve to the data\n",
        "popt_4to_basico, _ = curve_fit(func, exposure_4to_basico, scores_4to_basico)\n",
        "popt_II_medio, _ = curve_fit(func, exposure_II_medio, scores_II_medio)\n",
        "\n",
        "# Compute residuals\n",
        "residuals_4to_basico = scores_4to_basico - func(exposure_4to_basico, *popt_4to_basico)\n",
        "residuals_II_medio = scores_II_medio - func(exposure_II_medio, *popt_II_medio)\n",
        "\n",
        "# Plotting\n",
        "fig, axs = plt.subplots(2, 1, figsize=(8, 10))\n",
        "\n",
        "# Subplot 1: Quadratic fit\n",
        "axs[0].scatter(exposure_4to_basico, scores_4to_basico, label='4to Basico', color='blue')\n",
        "axs[0].scatter(exposure_II_medio, scores_II_medio, label='II Medio', color='red')\n",
        "x_range = np.linspace(15, 55, 400)\n",
        "axs[0].plot(x_range, func(x_range, *popt_4to_basico), color='blue')\n",
        "axs[0].plot(x_range, func(x_range, *popt_II_medio), color='red')\n",
        "for i, txt in enumerate(years):\n",
        "    axs[0].annotate(txt, (exposure_4to_basico[i], scores_4to_basico[i]))\n",
        "    axs[0].annotate(txt, (exposure_II_medio[i], scores_II_medio[i]))\n",
        "axs[0].set_xlabel('Normalized Policy Exposure Score')\n",
        "axs[0].set_ylabel('Normalized Test Score')\n",
        "axs[0].set_xlim([15, 55])\n",
        "axs[0].legend()\n",
        "\n",
        "# Subplot 2: Residuals\n",
        "axs[1].scatter(exposure_4to_basico, np.abs(residuals_4to_basico), label='4to Basico', color='blue')\n",
        "axs[1].scatter(exposure_II_medio, np.abs(residuals_II_medio), label='II Medio', color='red')\n",
        "for i, txt in enumerate(years):\n",
        "    axs[1].annotate(txt, (exposure_4to_basico[i], np.abs(residuals_4to_basico[i])))\n",
        "    axs[1].annotate(txt, (exposure_II_medio[i], np.abs(residuals_II_medio[i])))\n",
        "axs[1].set_xlabel('Normalized Policy Exposure Score')\n",
        "axs[1].set_ylabel('Residuals')\n",
        "axs[1].set_yscale('log')\n",
        "axs[1].set_xlim([15, 55])\n",
        "axs[1].set_ylim([10**-6, 10**-1])\n",
        "axs[1].legend()\n",
        "\n",
        "plt.tight_layout()\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "6lpGJFdGatII",
        "outputId": "1d7de4e1-f0dd-4d6d-8813-9e62bcb46de5"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x1000 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from mpl_toolkits.mplot3d import Axes3D"
      ],
      "metadata": {
        "id": "u9SW8azFcvvn"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "# Define a quadratic function for curve fitting\n",
        "def func(x, a, b, c):\n",
        "    return a * x**2 + b * x + c\n",
        "\n",
        "# Fit a quadratic curve to the data\n",
        "popt_4to_basico, _ = curve_fit(func, exposure_4to_basico, scores_4to_basico)\n",
        "popt_II_medio, _ = curve_fit(func, exposure_II_medio, scores_II_medio)\n",
        "\n",
        "# Compute standard deviations\n",
        "std_dev_4to_basico = np.std(scores_4to_basico - func(exposure_4to_basico, *popt_4to_basico))\n",
        "std_dev_II_medio = np.std(scores_II_medio - func(exposure_II_medio, *popt_II_medio))\n",
        "\n",
        "fig = plt.figure(figsize=(8, 6))\n",
        "ax = fig.add_subplot(111, projection='3d')\n",
        "\n",
        "# Create a range for x values\n",
        "x_range = np.linspace(15, 55, 400)\n",
        "\n",
        "# Create a range for y values (years)\n",
        "y_range = np.arange(2012, 2020)\n",
        "\n",
        "# Create a grid from x and y ranges\n",
        "X, Y = np.meshgrid(x_range, y_range)\n",
        "\n",
        "# Compute Z values for 4to Basico and II Medio\n",
        "Z_4to_basico = func(X, *popt_4to_basico)\n",
        "Z_II_medio = func(X, *popt_II_medio)\n",
        "\n",
        "# Plot 4to Basico and II Medio with error bars\n",
        "ax.plot_surface(X, Y, Z_4to_basico, alpha=0.5, rstride=100, cstride=100)\n",
        "ax.plot_surface(X, Y, Z_II_medio, alpha=0.4, color='red', rstride=100, cstride=100)\n",
        "\n",
        "# Add error bars (standard deviations)\n",
        "ax.plot_surface(X, Y, Z_4to_basico + std_dev_4to_basico, alpha=0.2, rstride=100, cstride=100)\n",
        "ax.plot_surface(X, Y, Z_4to_basico - std_dev_4to_basico, alpha=0.2, rstride=100, cstride=100)\n",
        "ax.plot_surface(X, Y, Z_II_medio + std_dev_II_medio, alpha=0.1, color='pink', rstride=100, cstride=100)\n",
        "ax.plot_surface(X, Y, Z_II_medio - std_dev_II_medio, alpha=0.1, color='pink', rstride=100, cstride=100)\n",
        "\n",
        "# Add data points\n",
        "for (x, y, z) in zip(exposure_4to_basico, np.arange(2012, 2020), scores_4to_basico):\n",
        "    ax.scatter([x], [y], [z], color='b')\n",
        "for (x, y, z) in zip(exposure_II_medio, np.arange(2012, 2020), scores_II_medio):\n",
        "    ax.scatter([x], [y], [z], color='r')\n",
        "\n",
        "ax.set_xlabel('Policy Exposure')\n",
        "ax.set_ylabel('Year')\n",
        "ax.set_zlabel('Normalized Test Score')\n",
        "\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 501
        },
        "id": "m3GTuo8ycr9n",
        "outputId": "21525323-5994-409a-b92d-546849ff1b1f"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x600 with 1 Axes>"
            ],
            "image/png": 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HjhxhfHycXC5HX18fCwsLjI+Po+v6Grc7v7AVhXmNSN4wDC+VXy28C0g+gIuA1AOsQXnveTvOWa0MYXEfv337NlNTUzz11FPs37+/7np+k/p6YaPNZ3bqBiISiXDs2DGOHTuGbdue293MzAy3b98mEolUkHw3RjiblX5vB62SfDBmNoCLgNQDeKjVe97OzaEVwVM2m2VsbAyAixcvEo/H6z53o0k9uBGuxUYTX/mxyj3pwRmz67rd1TLCGRwcbMvLYDNI3Y9OjvJZ8u66hmFUuN0FJP/+RUDqAYDO556Xo1mkPjMzw/Xr1zl48CBnz55tGrX4ZWazEyP1nYhmn5+u6+zatauuEU42m23LCGcrpt/bgbtWPZJPJpPMz89z8uTJgOTfRwhIPYB3E+gkOi9HPcW6bdvcvHmTubk5nnnmGa+nuZX1tkv6fSOxk2/I7by3aiMcl8iSyWRFfb6c5MtT2X5Ezu1gvYV51SRvmiZLS0ucOHGCYrHYsIVuJ19T7zcEpP4+hptud9Xtfkyeqo6uM5kMo6Oj6LrOpUuX2hI6baf0exCpd49uSc81K6plhHPr1i0Mw6C/v98j+Y0m9U5q6t3A/Txd4i6fJV9N8uXDaYIJdNsbAam/T+H2nr/33nvs2rWLw4cP+/JDdtvQpJRMTU1x8+ZNjh49yqlTpzoSCW2X9PtOxUamqP3+fqqNcMpJfnp6GsMwuHv3Lnv27GFoaIi+vr51Jd3NFuaVd7BUk3z5LHmX5IMxs9sTAam/z1Dde+7+268fraqqWJbFlStXWFpa4vnnn2f37t0dr+XnjT6oqW99rKePQDQaJRqNcuDAAaSUfOc732FoaIiVlRXPCGdwcNCL5Ht7e309n62WGQhIfmciIPX3EaqtXl0lrd+T1cbGxujt7eXVV1/tquXIz/T7epPuRt/kduIGYiMjWfc4+/bto6+vb40RzoMHD1AUpaJ9rlsjnI02u2k33d8qydeaQBeQ/NZBQOrvE5T3npcPnPArxS2lZGJiAtM0OXjwIE8//bQv7TsbGam7N7D1Wn+7Yrum31s5nvveqo1whBCsrKyQTCZrGuEMDg4SjUbbtkPebAe7dlCP5IUQFItFCoWCZ3kbkPzWQUDqOxzNes/9aBszTZOrV6+STqe9Oqaf9Xk/4Hcqvxo79Sa20YY6W6XFTFVVBgYGGBgY4NixYwghvB551wgnHA5XRPI9PT0dH2894PcmotpV0iV527axbZtiscjKygq6rnvthAHJbzwCUt/BaKX3vFtSTyaTjI2N0dfXx6uvvsq77767ZYl4vQnq/Th61W9sFVKvhqqqFUY4tm17PfKuIDQajVaQfLURzlarqXcLl+TLTadmZmaIRCJEo1HPDMdN15f71u/ka3izEZD6DkWrveedkrqUkgcPHjA+Ps6ZM2c4evSo9wP3i9z8TL+vd9ozuEl1j81Iv3d6XWiaVmGEY1mWR/KPHj3i+vXrxOPxinT9ZtTUN9oNUAjhpeLdSN6yLEzT9Mi8uiYfkLy/CEh9h6Hd3nNXrd4OisUiV69eJZvNcuHCBQYGBrzH/EyZ+7kWNPek7xZBTX37HMv9rvw6nq7r7N692+v0MAzDI/l79+6Ry+UAmJiYYO/evQwMDDR0u/MDQog1Q5LWG+XHrBXJ1yP58uE0wSz57hCQ+g5CJ1av7UbWS0tLXLlyhaGhIS5dukQoFOpqPT/PrdlazZBMJslkMuzatatpfbQaOzXS2Kk1db9JvRrhcJi9e/eyd+9ewDHCefPNN7Ftm9u3b1MsFiuMcPr7+30n4I2O1AFvCFQttEry1W53Acm3h4DUdwjc6Lxdq9dW0+9CCO7du8fDhw85e/ZsXbMav/zawX/1e73zklIyPj7Ow4cPicVi3Llzx6uPDg8PMzg4uGbzUm+dAJ1jM6bcbRTpufX106dPE4lEyOfzFUY4lmUxMDDgkbwfRjhCiJauWz/RTh2/Hsm7E+igtqVtQPKNEZD6Nkd173knk9WakXChUGBsbAzDMHjllVfo6+ur+9ytmn6v95kYhsHY2Bj5fJ6XXnqJSCSClNK74d6/f59sNktfXx/Dw8MMDQ0xMDCwJqoK+tT9wU6J1OsdzyWkaiOcXC7nXXOTk5MIIbo2wtnoFjr3mJ1mHJqRfBDJt4aA1Lcx3N5zl/g6ubibkfr8/DxXr15l7969vPjii03rgH4L5dZzg5BMJhkdHWVoaIjnn38eRVEwDANd1ysGhRSLRRKJBMlkkhs3bnhR1fDwMMPDw/T29gIB0XaLnZR+r4Z77dU6nqIoxONx4vE4hw4d8oxwyifQKYpSQfLxeLzpuW8Wqft1zFok797zTNP0nlNek3fV9e9nBKS+DVF+cXc7Wa0eqQshuHPnDpOTkzz55JMcPHiwpfW2am95dX/tw4cPGR8f5/Tp055yv955RyKRCg9xN6pKJBI8fPgQRVHo7e3FNE1yuVzbpiTdvJf1xmakxDfyWJsVqTdCuRHO4cOHEUKQyWRIJBIsLS1x7969ilnzQ0NDNa+5zSD1RjX1buESuAv3Pnjt2jWi0ShHjx71BthUq+vfTwhIfZuhEzFcI9Qi9Vwux9jYGEIILl686EWira63FVvaXNI2TZNr166RTqd56aWXGBwcbHud8qjKdR6bnp4mnU7zzjvvEIlEvHp8rX7lAPXxfozUm0FVVfr7++nv7/fWWl5eJplMMjc3x507d2oa4Wx0C517bhuluHdJXkrpRerub9xN178fx8wGpL6NIIRgdnYWKSW7du3y5eKsJvXZ2VmuXbvGgQMHOHv2bNs/0K1cU8/lcty8eZNYLMalS5dqkm27n6nrPCalJJFI8Morr6zpV+7t7a0Q3W10m9F2wUam37sh2U7gvje/frODg4MMDg5y/PhxbNv23O6mpqa4desWPT092LZNJBLBMIwN21huVnbAJetakbxhGJ4RzvuB5ANS3wYot3qdnZ1F07SOJ59VwyV127a5desWMzMzPP3004yMjHS83laL1N3sxu3btzl58iQnTpzw/Ydc7pFdbkpiGIaXqndbmVyV8/DwcMcq541MVe9E7/fNsGxdr+NpmubpO2DVCOfWrVskEgmmp6fXGOGslyp+PdPvjY5Za6NcTvLutVWP5CcnJwmFQpw8eXJDz309EJD6Fkd1ut1NN/kFRVGwLIu3334bVVW5dOkSsVis4/X8bGnzY4NgWRY3btzAMAxOnjy5rj/aWucaDofZt28f+/btQ0pZ0co0OTmJlNK72Q4PD3c9Ccxv7FSi3Qyf+Y0iO9cIJxKJcOzYMQYHB71rzjXC6evr8wje9WnvFq5afTMNb+qhfNMNa0n+y1/+MuFwmC9/+cvre7IbgIDUtzBq9Z6rqur1cPqBRCJBPp/n+PHjnD59uusbj98p825IJZPJMDo6SigUore3ty1tQLtohSAURSEWixGLxTh48KCnck4kEiwuLnLv3j10Xfdq8cPDw12Nrg1QHzspUm90THcWerkRTrFY9Ej+zp07FItFj+TrtWy2ejxYf0vmanSSHagm+Ww227a+ZqsiIPUtiPLe82qrV7/mn7sR7Pz8PKFQiLNnz3a9Jjg/aDer0C262SDMzMxw7do1jhw5wunTp3n33Xe33ECXcpXz0aNHsW2b5eVlEomENyQkFot5JD80NLTu1qKbiSBS9xf1NhKRSISRkRGvxOZmj1KplNeyWe1218q5l4t3NxL10u/tIJvNruumfyOxc+8Q2xRCCCzLqqtu9yO9vbKywujoKJFIhGeffZarV692tV45VFX1ekj9WKtdohRCcOvWLaanp3n22We96MRvd7pq+EEQ5W1K4Iy0TaVSJBIJ7t27Rz6fp6+vj2KxSDab3TBR0k71ft/Jw1XcY7byHquNcMpLRI8fP0YIscbtrtZ72cxI3Q9Sb2SqtZ0QkPoWQXnveSOlbDekLqVkcnKS27dvc/z4cU6ePEkmk/F10Mlmpt/z+Tyjo6NIKddoA9ab1MH/+nMoFKowwSkUCiSTScbHx3n8+DGTk5MMDg56kXwnrmPNENTU/TvedjCCqVUiymazHsk/evQIoKYRTreeGZ3Cjza6bDbblZZoKyEg9S2AajFco9aXTtPbbn92KpXihRde8NTZfgrb3PU2w1FuYWGBK1euMDIywrlz52rauG71SL0Zenp62L9/PzMzM+zfv5++vj5PWf/gwQNv5rdL8tFodN3PyU/s1A0EbO1IvRFcY6Xe3l4OHz6MlJKVlRWSyeQaIxzXAGejN2d+kLorHtwJCEh9k+FG567Yo9mPoRMSTqVSjI2NEY/HefXVVyt6Vt31/PohbnSkLoRgfHycR48e8dRTT3HgwIGO1+oWG20TW36zLTckmZmZ4fbt2/T09FSQ/EYP9+gE74dI3btOSv9dc920ch0pivO80nvw3ktZQLAe5RlFUTwjnKNHj1ZcdwsLC9i2zZtvvukp69d7c+lXHT+TyRCPx/04pU1HQOqbhPLe83bSVu0I5crtUE+dOsWxY8fWHKP8RuOXMcZGjV4tFouMjY1RLBabOt/thEi9EaoNSdxeZdc7/Nq1a57CeXh4uC2F804kWr+PJaWEUktX5X8BKbELRRTbxszlfToeQP33IKUEy0YYJpZaLJE9q6Rf/d8OUX7dDQwMcOvWLc6dO+dNn7t9+7bnsOj+z8+ODvde2E2k7pYYgkg9QMfoxuq11UjdMAyuXr3KyspKQztUl9T92tVvVKSeSCQYGxtjeHiYF154oakqfCdG6o3g9iq7JkXlbUw3b97ENM01Jji1rsGd7P3eDpmVk7UUwvm/RRmBN4Ft26iKP1Gz9Mi8/vlLKVGQKOCcL9DoLD2CV93/qm2TvpsGrzbCcd3uJicnuXHjBrFYrILku8kg2bbttfp2g1wuF9TUA3QG1+ygU1FJKzV1l/AGBwd59dVXG/5oykndD6x3TV1KyYMHD7h3717Due611trJkXozlLcxuQpnd/LcxMQEQIUJznoPpamHzY7UPfIWAikkUgoQrRF3I/hRU3eIurXPqF0l+ur7rvFgiewVRXX+q6o1yb5WYKDreoXDotvRUZ5Bcm2U3ZR9O22bfijfIVC/B+gAbrrdVbd3qhJtFKlLKbl37x4PHjxomfDWg9TXa4PgZh8ymQwvv/wyAwMDLa/1fovUG6Fc4eyO+lxZWSGRSLCwsMDdu3cJh8MMDw8jpcQwjA2JYjY8UgeEbZdIW3hEvk5H7CqalG6c3UbUDD61l0mJtCWSyt+1oiigrhK9ZVlNCba6o6NYLHokf/fuXQqFQltGOH7Y0roDYAJSD9AymvWet4N6NfVCocCVK1coFApcuHDBm+jUDOWiGj+wXun3dDrN5cuX6evr49KlS22n7HZSpL4evvWu+OnYsWPegJBEIgHAe++9Rzwe9wR3ftmKVmO9a+oOaTv/c2rcArvonztjw2PLlvm45osVaGuBjZhCJ6UE20aWEod2oYBqC6yi4dzjtNoRfTkikYhnowyrbZtumcgwjIoe+WojHD8i9UwmAxCYzwRojlZ7z9tBrUh4YWGBq1evsnv37pbqy62s2c35+Z1+n5iY8IaxHD9+vKPPMIjUW0d5XXRiYoLz589TKBRIJBJeNNXf3++RfKuOY63AV/GaEAjb9oi8vKjs1mI3Ck76vYPPSIJUlAbV88bH29j36GQjpG07AUzJg0opEbyiqqu1+jpw2zb3799f0wjHtu0KLYhfxjNAoH4P0Biu1ev169c5evSobzXKcgIWQnD37l0mJiZ44oknOHjwYMcp/c3oLW8Gd0N07949XnzxRU980+l5bUSkvtGtUhuBUChEf3+/587n3mgTiYTnOFZuguOakbSLbr8fKQTSFghhI+3G1+B26FP3FO5tU/rm9MXXS4V7m6oSPHLXGpN8MyOciYkJr44/MTHRsQGTazyz0eZA64WA1NcB5b3nMzMzHDhwwLeapEvquVyOK1euYFlW03auVtf06/z8IM9MJuPZ1166dKnrNpidlH6Hzc0KVNuKZjKZCjMSXdcr+uN7enpaWrcTRbosReLCFiUWlKVUd+N1NqNPva331oLCvRE2Y655q8f0SN5y/u0SvKppjgivDmoZ4Tx48IC5uTlPeOe22Lnp+lamHro96jtlMx6Quo+o1Xvu54ATWO3HfPPNN9m/f39N97R24Sep+xGpT09Pc/36dfbv38/09LQvfa0bkX6HnRmpN3o/5UNpjhw5ghDCa2Gampri1q1bRKNRj+SbzfJuSsZuSt2ujP6gJCZrgdDdZ29Fm9h2FO6NsFmk3sm9yCV5YVqgKKiailIi+GbXXigUIh6P84EPfAAhhOd2t7CwwPj4uLfBdP9XywhnJ7WzAeyMfMMWgNt7Xq1u92uqGqym2wHOnTvHU0895Us7x1aJ1G3b5vr169y8eZPnnnuO48eP+1oW2EmR+kagk8/Ltao9ceIE58+f50d+5Ec4efIkiqJw//59vvOd7/CDH/yAe/fukUgkKja89TZEwraxDRMzX8AqFBGmtZbQJSi0rlmRElR1Y9PvzUi2XYV7w7U2wWvelw2tlAjLxi4aWPkCdpPhUOU1dVVVGRgY4NixYzz//PP8yI/8CE899RTRaJSZmRnefvtt3nzzTW7evMns7Cz5vGME1Gmk/jd/8zf89E//NAcOHEBRFP7iL/6i6Wu+/e1v88ILLxCJRDh16hRf+cpXul6zGkGk7gMa9Z5rmuZLpJ7NZhkbG/P+7baE+AG/Sb2TtXK5HKOjoyiKwqVLl4hGo+RyuW1D6i52iljOL+i6vqaFye2Pd8d8DgwMMDw87NkVA6Vo3HZazhp8pJ1Gts5xNnYj1vAcO1C4N8Jm1dTLLai7haKqqE1Ev42yA9VTD6uNcH77t3+b7373uzzxxBNomsbi4qJn1tQKstkszz77LL/4i7/Ixz/+8abPf/DgAT/1Uz/FZz7zGf7Nv/k3fPOb3+SXfumX2L9/P6+//npHa1ajWCwGpN4NWuk99yP97qajDx06xJkzZ/jGN77ha0p/s9Pvc3NzXL16lQMHDnDu3DkvwvDTwnYnReobfbP283iRSKRC3ZzL5TzRnWWajF2+zNDAIIMD/QwONq7HdxPZboZQrm7k3KHCvRG2y1S4elA0DS0cavodtdOnXm2Ec/z4cb7xjW/w53/+5zx8+JC9e/fyzDPP8NGPfpSPfvSjvP766w03KT/xEz/BT/zET7T8nn7/93+f48eP84UvfAGAJ554gu9+97v883/+zz1Sb3fNaiQSiYDUO0WrVq/dpN9t2+bmzZvMzc1VzAb3M6UPm5d+L1fvP/300+zfv7/icT8V5a1uNvxw/dopWO/3oigKsWiUnlCYfbt289bCIieOHqNYLLKwsMi9e/eJRCIMDAx43uKrN9l26udrsRmkXqvVtBuFeyP4YcrSLvyYlgag6hpaixG/bdsd28zu3r2bT33qUyQSCcLhMH/4h3/It7/9bb71rW/xW7/1W3zsYx/raN16eOutt3jttdcq/vb666/za7/2a74dI5PJBKTeCdzovBWr104j9ZWVFcbGxgiFQl46unzNrToDvdVzKxQKjI2NYZpmXfV+uTGOHyMkWyWpTm74O7Gmvl6QUiItG2Fbaxzcent7PSMS27ZZXl4mlUrx+PFj7ty5TSwW9wi+naE0tc5hs9Xv3Srcmx1vcyL1Ln04QjpaGyRt23bL3RX1kM1m6e3tZc+ePfzsz/4sP/uzP9vVevUwOzvrXdsu9u3bx/LyMvl83pdpdvF4PCD1duD2nluW04vRijNcu1G1lJLHjx9z69Ytjh07xsmTJ9f8ONdjBrrfLnCNbppLS0uMjY2xe/duzp8/X/fGvGZUpQ/n1Qzd3uw3KlLfjhkBYdsIy6mV10O1HqW8JmoYBql0inQqzf379ykWi/T393uRfG9vb1te55ulfvdL4d74eJujfu/IYKcELRxqWkOvdUw/zGd2ipvcgQMHAlJvFW7vuUt+rbrDtROpW5bFtWvXSCQSPP/883VFG363yfmdfoc6kYmU3L9/n/v373Pu3DkOHTrUtGXFfV232Ek19Y1GV5ucUguasGw311z/uQ0el1ISDoXYu2cve/fsRUpJoVAgnU6RSqWZnp5GSsng4ACDg45neCPDp80yn/FT4d74eBvfWtkNwWqRMGoHr/WjzLBRpD4yMsLc3FzF3+bm5ujv7/dt5nwulwtIvRnKrV47mazWaqSeTqcZGxsjGo3y6quvNuzN3so19Xopc8MwuHLlCrlcrmVvej996QP1e/vo5r04RG41dXarPl6t31YtMxlFUTwTnJGR/Z7bWCqVYmlpiQcPHqDrupeqHxoaJByOlK250aQnncEnknUndNhajnINoYAeiTQ0nWl2TD8i9XZU753i4sWL/OVf/mXF377xjW9w8eLFrtd2r+f/8l/+S0DqjdDN3HMXzaJqKSWPHj3i7t27nDhxghMnTjQ9xlZOv9dKmadSKUZHRxkYGODixYstC1uCSH3zj9UOvFq5ZXX8Wa99b+46jd9zudvYoUOHsG2bTGaFZDLF7Ows4+N3iUZjHslvNOkJuySG26Bjbob5TLt1fEVR0CLhjgkd/CP1TiL1TCbD+Pi49+8HDx4wOjrK8PAwR44c4fOf/zxTU1P863/9rwH4zGc+w+/+7u/y67/+6/ziL/4i3/rWt/izP/szvva1r7W8Zj24pD4/Px+Qej2UW712O1XNMGpPgjIMg2vXrrG8vMz58+e92mEzrAep+0V45aNcyzcsp06d4tixY219jm6JYzuQuoudFKm3CikEoiR8a9RT3sJKlf/yMtXt//Y0TWNgYJCBgUHAGa/piu4ePXpIPp8nFAqjaRqDgwP09fk3lKYaUm58jXsr28QCKKqCFon44pznB6l3Mnb1Bz/4AR/5yEe8f7/xxhsAfPrTn+YrX/kKMzMzTExMeI8fP36cr33ta/z9v//3+fKXv8yhQ4f4V//qX3ntbK2sWQ/u5/iBD3wgIPVq1LJ67ebCq5cqTyaTjI2N0d/fz6VLl9oybdjKNXX3szJNkxs3bpBKpdrasNRab6PS7918z1s1evYD9d5bK8K3VlE9KrRaGa48eIA6MYE4cgR5/Hjb64dCoYoe5Tt37mCaJoVCgdu357Asq0JV75cXuPs+xCYK8zYKrabfFVV1InQfPg8/IvVObWI//OEPN7yn1CLhD3/4w1y+fLnjNevBjdSDmnoV/Ei3V6OagMvFYqdPn+bo0aMdpfS3avrdfS8//OEPicVivPrqq125TPkZYbeyTtCnvop670XYdk2rVh8PvPo9pFL0fO5zaN/5jvew/SM/QuGLX4BSFN4JNE0jHA5z7NgxzwQnnU6TSqWYmJjwLEcHBwcZHBxsu22qWuG+0SS7VSP1Vk1lWoUfQrlMJtNRpL4Vce/evYDUXdi2zdTUFD09PfT39/t20ZVH6sVikStXrpDP53n55ZcZGBjoek0/4Gfk//jxY8CxsX3iiSd82RT5QZR+lhhqwc/6fyvYjM2DsCyHzNfh2E4bZOlzLLtmej73ObQ336x4rvbmm/S88TkK/9f/1fHxys1gFEUhHo8Tj8c5cOCANxgknU4zPz/PvXv36OnpqTDBaaQLqaVw3/Aafh2zm/WC8/01ToWruo4W7swoph66jdTdDd12n6Xu3t/+p//pfwpIvbz3fGJign379nVMtrXgEubS0hJXrlxhaGiI559/vqsf3HpE6maTwQnNYNs2N27cYH5+HlVVOXz4sC83sY2O1LvBjkzBS4mwLMwWWtK6O8zatZUHDyoidA+2jfad76A8eNBRKt49Xr3vy43SBwYGOHLkCJZlsby8TDqdZmJignw+RzzeW1LVD9HX17dKLHU83Hd6pF7e6lsLWiiEGvKXblzdzmbV1Lca3M/+fU3qQggsy/KiVL8jYHBuENlslvfee6+l3uxW19xKNfVsNsvo6CiapvHqq6/yve99b0uNcoX1j9Rd7JT0uyyRuSIkwrTaNgVp71hu7bmSFNQykVEtqBMT2OtA6tXQdZ3h4WGGh4c5fvw4hlEklUqTTqe5e/cupmnS399P/0A/Q4ND9Pb2rtHqb6bZzUbA/Y3WOmYnpjLtHNMPUt8po1ellO9PUi/vPXd/bIqioOu6r2RZKBS4f/++Z4Xq125wK9XUZ2dnuXbtmjdsxp0hvxWnq+2USH19ncictjTbMrEME6ULObu0TaRtIYWFFDYIgZQCpAApV9PUlG7QhTR2dgklFEFRNcTIHiIqKHUuTdGgxafpuXVBeuFwhL1797J376oJTjKZIp1OMT01DbCmHr/xpL6xkbqUtQm2U1OZVlCufeoUrr/Bdo/U3czMH/3RH73/SL1aDFfuDOfXmFSA+fl5rl69ysDAALZt+3rRbAXvdyEEt2/fZmpqiqeffpqRkZF1Ob+NrKnPz89z9+5d+vr6GB4eZmhoqG2R33aN1FfJ3GorzS5tC2EVkWYRYRXBKiItCyFqt3GWHw9WNyiWZaEWl7GWF5B6iQT6gB99AfXKFVRboAiJYoOCinzxZexDB1A6JEu/SFZRFHqiPRyI7ufAAccEJ5PJeCY49+/fJxwOY5om6XSaaDTq63jSethoRznbFlA+z15R0LvsQW9+TBtFUboi9WKxiGVZ257U3d/Tv/yX//L9RerNes/9SGsLIbhz5w6Tk5M89dRTRKPRijnofkDTtK5r4OVol4Tz+Tyjo6MIIbh48eIakYmf0fVGROpSSsbHx3n48CHHjx+nWCzy6NEjrl+/7hH88PAwAwMDDW8g27WmLiwL22xO5lJKhJlHFPNIM4cwCkjR/nUoqT87vPozLL7xBpEvfhFlbBSpKqCD/eyzFN/4e7Bwz9mU6z0o4R7UcAwtHEPRWhFjdU96tTzcFUWhr6+Pvr4+Dh8+jG3brKyscOP6dRZnZpi8c4doJMJgPE5fPE5fLIYKYDuaBek0tVd+F6oKSmmOm6qCpoGuo6gqiq6jaBpKKOT9DzZHmOdG6X6YyrQCv9rZgG0vlHOxuLj4/iD1VnvPdV2nWCx2fJxcLsfY2BhSSi5dukQ8HiedTvua0ofNrakvLCxw5coV9u3bxxNPPFHzR7XZ89lroV6kbpomV65cIZvNcuHCBc+eV1EUDMMgkUiQSCS4fv06tm0zODjokXwsFqvpb79dYFsWspma3TKws0sIs4Awc92/P7lWGe78vc7z+3op/s5vo0xPo87MIPbvRx44ULacRJp5MPPY2SQmoGhh1EgcNRJDi/SiqGuvUUdp38XbQCKFRBTyiHwemcshCwVEPo8oFJDFIsIoIgtFMAwit29x4OAhdF0nn8+Ty+WYyuexLItIJEIsFiMWjRLp6WlKxoqmOd9Drd+FoqCGQjA7i7VvH5k9e1B6elAjEdRoFCUaRY1GUWMxlBaO1Sq8+6qPPeitHLNbUs9kMiiKsu1r6m6w8aEPfWjnk3o7vefdkOXMzAzXr1/nwIEDnDt3zvuQ10t8t9GOcuXR7JNPPsnBgwfrPtcvIm713FpF9TrLy8tcvnyZ3t5eLl68iK7rFe5/4XCYkZERRkZGvNpbIpFgaWmJe/fuEQqFPIIfHh7eNpG6sG0nMq/xHUkpEUYWO79CcSWJmp3DWt6LqnUfdVWn3Guh7gCWAwewy8i84XFsEzuXxM45JK+FYyiRPrRoH6oeLjuX5t+XMAxEJoNYXsbOZhGZDHZmBZHNIwv51ksVpXY9TdM8O1sA0zA8kk+nUkik52kfjcaIhMMVuw8lHEZaJog6x5USYRjITAZZSvvXhaqg9kRR43HU3l603l7n/+7vR+vt9aL+ViCE7fSgbxChg38WsfF4fMN7+v2G+5l//vOf39mkLoTAMIyWneE6IWDbtrl16xYzMzM888wza+bluhsFP4UyGy2UK++vf+WVV5rWn7aiUK76nKanp7l+/XqF336j45R7ix85cgTbtkmn0yQSCS9VDzA5OcnIyEjTVH236Mh1SggswwRhU01odjGLnU8j8sue6Alh+XCm7sEbX/+tEH4bB6v4l23kwMhhrcyh6j2o0QGkbVYcSxgGdjrtkHc6hZ1KI1ZWEIVC1crOZqDds6y3hQiFw4TCYfoHBkBKikaxRPJ5EksJFFUlGo0Si8WIDw6imWZLG4mWHOyERORyiFwOFhbWPKxGo6h9fWgDA2gDA6gDA+gDAzXJXiqKr6YyrcAv4xm/3AO3As6dO7czSd1Nt7vq9lad4TRN82alt4JMJlPRylVrfJ67k/ST1DdySlsymWR0dLSt/vqtmH6H1a4HdxP23HPPsWfPno7W0jTNi9DB2fi8/fbbGIbRcqp+o+DUwk1s06a8lmybRUQ+jZ1Ld1Qbb/XY0Jysu9+4KbRiPC+sAtZiGnn/CsbUfdLhXsgVHWJris4I3a2VN60xKwqRSA+RSA+Dg0Oesj6fy5HO51lYWEDXdWIlku+JRutGqi0drwlE3iktWPPzFX9X43G0oUH0oWHUoSHCe/eCpm2KLe1mWcRuVexIm9jq3vN2rF5bJUspJVNTU9y8eZMjR45w+vTpuhe0e9H5sat0sRGRupSShw8fMj4+zpkzZzhy5EjLn6OfROznQBchBN///vexLIuLFy/W/DF3erxIJIKqqhw/fpy+vj4vVb+4uFiRqt+1axdDQ0MtT6qr915ahTAtbMsEAS7p2fllrFwKUci0koHueDPitqy19nq31t7JkZTSprnGqkI40XcyjZ1IY6dSiFwe5hewenspxKIoKKiRGGoDkZ0j7uuA0HGiZucs24OjrI8SGxpiuFBA7N7tRPH5PEuJBIZh0NPT40XyPWU18vVsoRPZLCKbxXw8hYKkAGRtG00I8rEY+p496Lt3r7tQzq+a+k6J1IUQ/MEf/MHOIfV6veftoJWWNsuyuHHjBouLiy1Fei6R27bd1Y28es31FMqZpsnVq1dZXl7mpZdeYnBwsO31/Jz65sdamUyGfD7P4OAgTz31VNc3g1pwr7daqfpUKkUikeDhw4dcu3aN/v5+hoaGWlLVdwJh2wjD9OxXpbCwc2nsbAIpSkr3Jj+Prj73DtLp7d5XpQRVUZEI77XStrGSKUQihb2YwE6law+cKdsESKRTfihmUfUIajiOGu4pPQZKidA7RqelBVVB1UPIUglA1TTivb3ES/V4y7LI5XLk83lmZ2eRQjibgGgUKUU3Z9za6bldDIBYWUFdXib37rtAyeN9925Ce/eij4yg792L6nMr32aOXd2KWF5e5p/+03+6M0i93OoV6IjQoTmpLy8vMzo6Sk9PD5cuXWppyIObKfAzsl7P9Hs6nWZ0dJR4PN729DgXWylSl1IyMTHB3bt30XWdZ555Zt3NW6qhaVrFhLBiseip6q9du4YQwiP44eFhotFo59GxENimibSdz1/YJlZmCZFLlbU5NSf0biClxLAsCoZN0bIpGjaWbWPaEsu2sW2JoCySR8G2TKaSRaJTCUKaQkjXCId0enSNaEQnpFfdvKUzvlMIGztZIvDFBFYq7ajD64w7rligBoTl9NsrBR010uuQu9Ldhss7UjvfqaqgaHrD96HruuNk198PUmIYBrl8nkI+hxCS6elpR3BXUtaHfCTVckIHJxtRvjGVto01N4c1NwdXrzp967t3ExoZQd+/n9C+fShdusz5kf10hXI7ASsrK2Sz2e1P6uW9590aEdQjdZcY7ty5w/Hjxzl58mRbN92tZutaaz3btpmcnOTWrVsV4rFO1/NTKNfpe7Vtm+vXr7O0tMTZs2d58ODBuhJ6q2tHIhH279/P/v2rZiWJRIKFhQXGx8cJh8MewbeaqndtXYXpbGxty8BeWcTOp6rOz7+WOylgOV9gOWeQKRis5J3/5ooWdpvfmWVZLC0XEI8Xaz4e0jViYZ3enhBxJL25LPFMGj29DHZJB6NqKKrSAqGv9pjXfdy2sHMpREFD6+lFDcc67oFzfwtqq+UrXUcKgWzHi0JRCEcihCMRGBxkfHycPXv3YhgGmUyGxcVFNE0jFos56fpoFK0jUpWorN0TymZ98VJiLSxgLSzA1asomoa+dy+hgwcJHTyIXtKmtAM/1e87AZZlMTw8vH1J3e+551Cb1E3T5Nq1a6RSKV588UVPGNXuulvF1rUW3M/y7t27vPDCC15E2Sm2QktbLpfj8uXL6LrOxYsXyefzvpxPM7R7ruVmJUePHq1I1T948MBL1bsk39/fv2aNilS7bWKuLGJlkzU4qDNCd39XhaLF0kqexEqeZK5AOmsgXKW8LKWqu/oJ1nmxlIhkCjOZZCWVIp/LsVh6qqqoRMM60XgP8bBGb1hHb6H9zvma6h1v9XSktLHyaZRCpmNy90bUtvA6JRRC2lb9lrWWDui8tqenx0stCyEolOrxqWSSubk5IuGwR/I90WgLAVFtQoeS2r6NgEraNubMDObMDPzgB6ixGKFDhwgfOkTo4MGWong/auo7Kf2+e/duPvaxj21PUl+PueewltRTqRSjo6P09fV1NRd8K0fqmUymwjCn3bnRtbDZLW2uQc6BAwc4e/YsqqpSKBQ2xPu922M0StVfvXrVu5FJKRkeHiailaI6YWNllrCyS1VRk9JS/bwWTNsmmTMZezjHwnKObKF25FjPT6YdyOoNhxCElpcJJxOEkilU06DWexFSsCIgm1hhsbRGNByitydEXzRMvCeMqq49sbpd6mWEXvHnCnLvQ420rpiWtBalq5EIwjDasumtBU+YV3ZMVVWJxePESlGpbVnk8nnyuRzzCwvYtl0huotEIlX31PqEDs49udVMRM1zzuUo3rlD8c4dFE0jtH8/kdOnCR87Vvc1tm13bbmbyWR2BKlLKenr6+M3f/M3tx+pCyEoFAp85zvf4ZVXXvGFhFy4EbUQgkePHnH37l1Onz7NsWPHuto0+Okp7+d6MzMzXLt2jQMHDpDL5Tw3tW7hd0tbq0QppeT+/fvcv3+fp556igNlZiV+2s1uJGql6m/cuEF2ZYXvv/UWkVCYgahKn2YRj0fRdb2S0NusnxeKFrPJDNOpLPPJFeYWcoyo6UZBtHMkX9rLJaFEgnAiQTiVQrHL20trvxcRDqOWpds1VcWwbBaWTRaWc6ioxKMhBmMR+mMRdF1dPfE1rnbNbeYcck+hFDNo0X7UUPP7j2xhU6X29Kzpie8UrbQRarruZYiQEsM0yZdI3jXBiUWj9ERjxKNRIk160IUQvqndHbFjklgTga4fNfVcLrftfd9h9bs+evTo9iH16t7zYrHou1Obm8r54Q9/SC6X4+WXX25b+V1v3a2Ufnd7taenp3n22WcZGBhgcnLS1yEXG92n7tq9ZjIZLly4sCZNvRGkvt7HUBSF3nicaDhM//Au9gz1kZq+x3JikZnMCoVCkXgsRm9fL/19A8RiUZQaUWo1DNNmOrHC1NIKSysFL2oWHmPXfp3HVd1cMkKgLy/TMztHz/QUffGqCNjL6a/9XEUoVEHouqYhhFwtCQACwUq+yEq+iLKkEOsJMRzvKZmzVL+P1t+IFBZWNoGq96BF+1G0RrfS+up5ib+EDh0Y+SgK4XCYcDjMQLkJTi5PbmWFpblZpx4fjzsmOPH4Gr8KP0e9agMD9L/+OmqTWrdfNfX9+/d3tcZmQ0rJysqK42EQi20PUq9Ot2ua1rZRTCtIp9OAQ5qXLl3a8i1onZBwtT99LBbzrCRdbYIf57eRLW0rKytcvnzZU+zX+t42itTXCxVCOGFjL89iK2l6Y2H6ogdAUTANk5XMCsvLGR4s3UcKSV9fL729ffT19xIJ96wSsIS5dJaJhTSzyVwFEa4etNH5dBedaysr9CwtEk4kUEq/7TXiunqErigITUMtE5KFNA3LFmvT+BXLSbIFg2zBIJPJkyfD3kHoj0agw8teWAXESgEt0ovW01f7Q6knNqhqWfMLbg2/4+uxZILTE4mwa2jQy45ms1lSqRQzMzOeX308Hi+10PlD6vqePfT9+I+jtpA1DIRyDu7evct/+A//gQ9+8IO8+uqrW5/U3ei8WgznZ0pbSsm9e/d48OAB4Fjt+UXosD6ROrRvMOGOgx0ZGeHcuXPeD8Jdbyu6wDUjY7eEcOzYMU6dOlX382g3jd9xS9k6bBzKhXBWJgGpSWS0B2Qp9Vs613A4zPBQyeVOOtP0VlZWSKfTTE1PEQ6FiETjpIoKacNmpdBkmEsNdJNuVw2D8OIikYUFtEIT4aJX9K48P1kazqK6G3oJ4ZCO0eYGX0pYzhXIFC3Cusauvii7+qKr6fk2YRczCCOPFh3wetxXj1VDad9Cy1qn6La+DU5vvvtJqKrqDJwpmTXZtk0+lyObzTI/P49pmqiqSk8k4vnWd/L7CR08SN9HP9pyq5sfQch2Fsq596m//uu/5i//8i/5iZ/4CYCtS+rVvefVYjhd130h9UKhwJUrVygUCly4cIF33nlnXQaw+F1Th9ZrSkIIxsfHefTo0Zpas3t+7vP8gJ/vt94GoXye+7PPPsvevXubrrPdInXH3tUqRehFzNQ0wsx7g1hkxTGVytqtAtFYlGgsyt59e0mt5Ln+aJZH9xYRtkmuYKCHQkTCYcKRCKFQc9/ujghdCEKpFJH5ecLpNK0p8Ouk2/UQqr06IlZBQdfVtgkdcPztFQVFcQSBs6kMc6kcA/Ewe/pjxHra39RLaWPlEqhmFD3aD6UNSLUyvKOWtXbOo8uxstU96NXQNI3evj56S7Vo0zR5/PgxthBMT08jbLsiVV89lKYWIidOEP+RH2mrLu+XTexOiNQPHjzIBz7wAWCLkrrbey7K0kjVF6kf6XdXJb1nzx5eeOEFdF1fl6lq6xWpt7JmsVhkdHQUwzC4ePFizV2p+/n6SerrGam778k0zZrz3FtdZz3g1zHc6FwI4ajaV8r9t1drplKW9Z/XuG8upnPcnUkyn86iKirDQ4MULZu4LTCKRYqGQSqVQkpJJBwhHHFqq27N1MvWt0HoUgqUXJ7w4jyRhQUoDSExGyTHhW1jSwtD2M6MckCRoKCiKCBDEVRrNapVUVE1BbOTzaP3XpSqPwtS2QKpbIF4JMy+wRh9sfbFo8LMY5oFR0gXiZfc60pug360rDWB7KK3sBmh10IoFELTNAYGBhjo76doGOSyWbK5HIuLiyiKQtxN1cdia0xwep58kviFC22f6/vdUc6N1JPJZIWGaEuRernVa7Pe827S70II7t69y8TExJoxoutRq/c7Unc/k2bEubS0xJUrVxgeHubFF19sOIxlsxTrzVD92aVSKS5fvtzSe6p1Tuvpie3HunWjc9wfMTitXeXHXPtZz6ez3JlKsLTivDakaYCkaJXaQDWVnliUnlgUJJiWSbFYpFAosLK8jKpphEMhJCAtgVIjLS2EwJYWovS7tYVJKJkkOr9IZGUZgFZ/SW5N3bar0tES7FAIPb/siM1UhZCqIRFYpuKkmdv42Fe1AI1flC0a3J8ziIZD7BuMMRBvr8tGIrHyaVSzgJQhFPxrWWt67I6u8cYtay0fU1GIRCJEIhGGhoeRUlLI58nmcqTSaWbn5giFQsRjMWLxOLtefZX4iy92dMxuSd0dp7zd1e8jIyNcvXqVqakpDh48uLVIvVG6vRqdpt9doZgQombkul6Rut+k3mijUN7adfbsWQ4fPtz0R+4nqa/HBkFKyeTkJLdv3+b06dMcPXq0TV/xdfRFLUNXlrZCYBcNr3Zurcx560kvEldK//ZeVbHGUjrPzalFj8wBenQNw5a1xXClJUOhkKcjkUJimAaFQgEkzC/Oo+s6ejiEpqugKQgpVlXWlkl0cYmB+UU0s/0asQSkG5qX/70kiNMs03kOEk1RMS0TUWYx62SaVDRFRVUa3DfWiPuaXxN5w+ThfJqecI6RwTgD8fYid2EVsfJp0DREsdjWaztF+6TeHaGDc+3WquMrikI0FiMai7F7926EbZMrzY+f37+f++k0fd//fsUchFaJ+v1uPuNmbD/+8Y/zn//zf+Y3fuM3GBwc3Fqk3s4glk6IcnZ2lmvXrrF///4KoVi36zbDemwU6hGnYRhcvXqVTCbDyy+/7LSodLFeJ/BbKGfbNteuXWNhYaFjV7+NmF7Vzbq2aSJMC2lbmKlp7GLGe0yW7Nq89RWVajJPZwvcnFxiLp2t+HssrJM3rLa85BRVIRyOgAIr2RX6B/rJF/MUCkUM0wAJoXCImG0xmEwTS6VQOvy+PWqu9p5RVVAUtLJedV1TsW1R8V4kzoYPKXB/tQ6xOySvKZqX2PC+ng72XQXD5OF8ilg4zP7hOL3R1kxPJCB1HSWZxMr2o8cG6NZLvukx2xLKdU/o0LqjnKpp9A0MsP+nf5rwsWMUi0WSySTJZJKbN29imiYDAwMeyff19dX9XQXe7853/fzzz/O5z32O//P//D+Zm5vbWqTeTitUO2ly27a5ffs209PTPP3004yMjDRc129SV1UVw2eVa62NQjqd5vLly/T397fdkrcVrF1rwbZtFhYWiMViXTnelZP6eqJtNbkQ2IZZitKzmMkpZ4qa94TSuXv3NaVialixaHFjapHJhZWKirWKQiSkkTPaKCVJMIWJJSxM28SyLExhIhXpfO49znPUZJKeiQlCyTTCtskrClpJj6JrWssMIUvvpYzaAbA1DVVKFPd3KEHXVSy7+fWp4GQRPJKXTlZLUzW0qii+EyLLGQb3Zg36ohEODPXSE2lwC1VADYUgm0OhVGtfNtDig6i6P0ZPtdDqLHWlVD/3xTeoTqS+5pjhMH0f/SihUm94JBJhZGSEkZERpJTk83kSiQTJZJKJiQkAhoaGPJJ3lfVuS68f6fftGqnDaibzE5/4BJ/4xCeALVZTbyfSaZV8s9kso6OjXu95rRnanazbDtY7Ui8fOHPq1KmOHPC2Yvp9cXGRiYkJenp6uHDhQle78o0g9XY/c2FZ2IajgDaX57Eyq8NMahmIOBS4agxzdybBnanEGrLTVBVdVcibrRG6ZVtYwsSwTS9Fr5TV7UsnRE8iSXxujpDrox/tAUlp8pqNaRgUhUAt+Ujomoqq1ib5VUIvgwK2FkKzzbI/Kai60jKhl3cAuJ+hkDbCtjEBVdVQ0Rr2s7eClXyRO3mDXf1RRgbjaFV+84qqgqoiS9/v6vXn2PlqPX1OX/s6oOlwFSpb1vxAK5G62tND38c+hl5ntoSiKF7r3KFDhzxTFXfY0d27d71hR64wrBtSz+fzCCG2fU29OiDbUqTeDnRd90xT6mF6eprr169z+PBhzpw50xIprFekvl5rWpbFtWvXSCaTHaem3fW2SvpdSsmDBw+4d++e16rWbZqtFVLvdGRvOVrZNEgpsQ0DaQsn3Z58jG3kVh93Fcie5RmlFLKzdjJn8HBqBUVfmwIO646rmiuIq3sOQmDYJoa9OpRF1nI+E4Lo/AK9c3NotbJNCui6hl4ajSqFxLJshLDJl+rruqajqs5zFFWpSegSsDSdaBmhq6Xvw26V0Ms6AOq1dQlhY0sbwzYwbBMdDU3tjBgkksXlHMlMgQNDvQz3R51z0TSQElnKJEq5Ou/dhV1YQVoGemzQa33zC80m0PlN6O4xG0Xqam8v/a+/jlZjIFE9KIrijZY9duwYtm2TTqdJJBI8fvwYcNw/3WmGg4ODLQtnwdFXAds6/e6i/P64bUld0zRHyFMDlmVx8+ZN5ufnW+phrl53u0Tq2WyWW7duEYlEuHTpUlfe7X5H6p1GxJZlcfXqVZaXl7lw4YI3zKRbbFSk3mx9YdtOdC4lwshjJB4jRdnmtKp3rDw6LxoW1yYWuD6ZQtM1ensrST0a0ila9qq9aw1YtoVhG5hl5Cmr0t8A2Dbx+Xn6Hj6iP9L60AxFVQiFdUAnIiNOS55tY9kWRaOIoihe66imaR7ZiZCOnssBTslIK11DTUe4lsoTlZF3fVvWctilCF61VVRNR28ksmu0jhBMLi2zlClwaP8QUSEqFO6rbYeVEFYRc2XR93S8EzXXfh+dtKw1Ran7oW6n0tAQ/R/7GGqTLGkzaJrmTSs8cOAA77zzDsePHyeRSHD37l0KhULFRMO+vr6GwUAmk0FVVaLRaFfntdWwpUi93fR7rZr6ysoKo6OjhMNhXn311bZrsOtF6n6vaVmWN9+9kZNaq9gKkXomk+Hy5cv09PRw8eJFwuGw10PtxznB+tfUG8EVwwFY2SRmeqbicY9caxjKTC6kuTaxiFErApcQi+j16+eSUmRaXEOSawi9RObxuQUwDPKmCW2QegUUp3UurKlACClLrWulVH2hlKpXwyE0e/V7cQRxsqUUeTWhdyKEFAiEbWCjOBkFRa852a0ZMgLuPpxn90CM/UPxqmuu9npeOj46gBbxK2KsvalZF0JntUpTi0D1ffvoe+011C6nqVXDbWfbu3evF7Tl83mSyaQXyQshGBwc9CL5eDxecW24Ijm/POs3G+5nsm3fTXVLm9vy9PbbbzMyMsJLL73Ukahqq6ffXSV4oVDgyJEjnD592hc192ZH6rOzs7z11lvs27eP8+fPeyMV/ep538xIXQqBVSg66nYpMdIzFYTuvEZ67VnOEk7/ecGwePvWFO/dn6tJ6Kqi0BOuTehSSopWkeXiMnkzvyaNXUHotk18Zoa9V6/TNz3jOLf5BFcKp5RS9ZFI2HG76+tFD4VQTAvDKGLbAssoks8bTa9FpfT/3PcgZTuEXvsakEhsYVG0CxTt5udQDhEOo5oGEslCOsutqQSZfFm5osl52fk0VjbpSw97LfOZ9SJ0oK7XfPjwYSdC95nQoXaPejQa5cCBAzz99NN88IMf5IUXXmBoaIilpSV+8IMf8L3vfY/r169z/fp17t2717FI7m/+5m/46Z/+aQ4cOICiKPzFX/xF09d8+9vf5oUXXiASiXDq1Cm+8pWvrHnO7/3e73Hs2DFPQ/Tuu++2dD7udfov/sW/IJ1Ob19SLydf0zQZGxtjfHycF154gdOnT3e8+1qP+rdf6fdcLsc777zDysoKg4ODvtaC/J6B3ur7de1er127xgc+8AHOnDlTKQ7zSZXfKqn73e4mbBurWPRmnptLE9jZpPe4U/+s1CC7hjKTC8t869qjNW1qLnRVRddUClWCOI/MC8sUzNpz5D1CtwWx2dl1IXPnONXvzoGt6ag4GoBIT4RITw+hkIpAxbItsrkcuVyOYtHAsuwKrnPJvJzQoY3vzn1+g6cIYVO0ixQtA1s0uh8oiFDl+FcAw7S4P5tiammlJU0AlNTxK4uO41wXqFSiy3UldCib3152z42cOkXvj/1Yyz7u7aKZ8YyiKPT19XHkyBGee+45PvShD/HUU08RjUb5f/6f/4cXX3yR//F//B9RVZX/8B/+A6lUquVjZ7NZnn32WX7v936vpec/ePCAn/qpn+IjH/kIo6Oj/Nqv/Rq/9Eu/xNe//nXvOX/6p3/KG2+8we/8zu/w3nvv8eyzz/L6668zPz/fYGUHLtd97nOfQwix/dPv6XSa0dFRr+Wp25ngfnnKl8OPjcLc3BxXr17l4MGDnD17ltHR0XWZ/ObXWq1sEAzD8CxsX3nllZq7Zr83GxsZqduGiSiViIRVxFx6jLDLDEjKvdrLYJgWVx7OMZXIrH0QQIGIriEAy6rMVhm2QcGsoTUpywBLJIqQRBeX6J2ZQ7P8HyriHKeGwh2w9RCaVSaIQ0FTwBQK0WiIeql6R1Gvo2qKI25TVlPbHe3FWniNkDaGbaMKDV2tFNVJRUFqOmq54U7FhkGylM6xYJvs7e1ButawNS/B0gbFLmKk59FiQ6haVUvqmvNV3P9f+qdSOmfXZcefHvRmcNX27v07+vTTxF56aV2P2a7xjKqqXmvcb/zGb/CZz3yG3/3d3+WP//iP+a3f+i1u377N+fPnee211/j1X//1hv4eP/ETP+ENT2kFv//7v8/x48f5whe+AMATTzzBd7/7Xf75P//nvP766wB88Ytf5Jd/+Zf5hV/4Be81X/va1/jDP/xD/uE//Id115ZS8vbbb6Mozvjcx48fby1SbweqqlIsFnn33Xc5efIkx48f9y0NvZUidSEEd+7cYXJykmeeecbrsfeThP1er5W13J76wcFBz3e/Fvwk4lbW8uNY5b3nALaRw0xMIkUlAUO5OE0B6aip37s327AdLaKrGJYg5H7GpZp5waqKystLuWXq+ehSktj8POFcjqbo5CclHcJbQ+jSsXytIPRS7dquamRxU/XlqnrbEtjCwih9Nppaap3T9abp7crTaD9ydcldkxphJQSa5hjctDCUxbIk06k8ajjL3v5Y81OVAjuzhIz2o4bKSoh1Ls3qP0vLRpESaRiIUkln9TpQvM4K19a1W5SXPWLnzxN95pmu12yGbo1nhoeHOX36NCdOnOB73/seU1NTfPOb3+Tb3/6278K5t956i9dee63ib6+//jq/9mu/BjjBzQ9/+EM+//nPe4+rqsprr73GW2+91XDtTCbDZz7zGSKRCIZh8JnPfGZ7krphGNy7dw/TNLlw4QJDQ0O+rb1eSvVONgqFQoHR0VEsy+LSpUsV6fb1GBKzUd7vk5OT3Lp1q6We+o0m9W7Xd9Pt7p3Wyqcxk1OVT1yjhlaQQnJraom704m6AjEFiIZ10mmBpjmvN22TglmobQFbdgiJJJxepndmBr1gVDi1+Y1ahC4BoesVhO4q3IVsIoqTJdvosIKOVlLV21i2o6wvGgaqqqBpa1X19dZrhNV9kFLxbwCEoKhZ6LYghNoiKTq7q4V0lkzB4NBwH5FQ8yhT5JeRto3WE6887yaHlMJG83jcddyrPJtyuJ76XsajTcIXQqBoGr0f/CCR06dbek238HuYy8GDB/n5n/95fv7nf96P06vA7Ows+/btq/jbvn37WF5e9sR9tm3XfM6tW7carq3rOn/v7/09FhcXmZqa4vXXX99+pJ5MJhkbGyMWi3kpFT+xHgNdOiHgxcVFb4Lck08+ueYC3o6RuhCCGzduMDc3xwsvvMCuOiYU63Ve607qQjrjNF1CzyQwl2e9x9cYypTIvVA0+cG9GRZX6s8YVxWVkKZ4gjghBVkji9WMnLNZtGSC/sQyYdtEoqA2rBF3j2pCr2/52qHCHekMnNE0GqXqXYc7VVXXEqHShLzrQGo6lHrdbUBXQ+hN+szL+//zRZP7cykODPW25CMvjSy2FGg9vZUnXQcKEoTdVi1bIr2pcWsIX3E+O5fka5G91DTECy9sGKGDf6TezIxsqyMajfIrv/IrALzwwgv8V//Vf7W1SL1RxFY+pOTMmTPs2bOHv/mbv/Hdy3s9B7q0cq5SSu7du8eDBw944oknOHToUM3n+V0mWO+Wtnw+z+joKACXLl1qOcW1HSJ110wGITzRlpmew8ourT6nul2tlBpfSGf54fgMhQZmMeUT1ty6uW3bRPUGn6FpEro8SvzhI6KFAlJVUeNxxMED0OXNsBZkSa1ffXULTUNpxfK1lrygqgfd+WzX/oZqpeprGeBoqkZI19FQ0BUNtc0kvNBDqFZlut0SJrawCWkaqlLnc5WVPOj2tWeLUUYGe2mWRZZmHlvaaNEBGrG6ayojRWt9+q1ASuGUUyqO40T2iqKgRCKEL15EbUNo5ge20zCXkZER5ubmKv42NzdHf38/0WjU24DWek4jS/Ny5HI5Dh06xOPHj7ee+r0W6RWLRX7wgx8wNTXFyy+/zNGjR70a7HboKXdrP80Ixa2tTE9Pc+HChbqE7q7p5+ZjPb3fl5aWeOutt+jr6+PChQtt1ay2OqlLIbALRaTtuIZJKTGS0xWE7jxx9dp2b7j3ZhK8dXuqIaH36Bq2kJi2wLRNMsUMhm14d9lsFhYXIVcukBeCvu++ya7bd4kVi0jV8VInm0V9PN3W+2uFHFxB3BqFu66j2rY37EVBacvD3Vm7fYW7M5BGJ9rTQ1+sl96eKGFVRwqbQj5P0XDKI8K2m6biXdQidBcSx53PFGb9lrQap53I5HmwkKrtPVB9DMvAyiWhzqQ9tcwlTkq5rr3XEunoRcIR4h/9MUS8F1U4G1thWZ6WZD2xnWapX7x4kW9+85sVf/vGN77BxYsXAQiHw7z44osVzxFC8M1vftN7Tj2497PR0VH+u//uv2N8fHxrReq14Kahd+3axfPPP++ReTmpt2MN2AzrZT4DjcUdbllhYGCAixcvNh3Gommar0NiVFX1rezgbjiEEDx69Ijx8fGGWYdG2MqkXu7dDjhCsPQMNtGyP632n5fOAtO2GXswx+OllYbruxPWhJQUzIJD5iWYFtx4TyWxuLru8G7BS0cS7Hp0H31yEgWwVQ3NJQIpIZtBMUxkuPVhP3VRTxBHDYV7KXXbkNAV9z+1PNwbK9xLFeHyZbwHFE1D1UBHBwmWaWEIk6JhIIVE1VR0VUfTVKctq+o4UqtP6BXvWdjY2IS0kDMdrvw06px8vmhyby7FoV199PWs9nPXLJ/bFlYmiRYfRClL+Ve3rMmaaQ9/ofX1E3/tNbTeXsTCAqqiICwb3Fl5ioKiqqilz7SVATPtwK8JbZ2UbzOZDOPj496/Hzx4wOjoKMPDwxw5coTPf/7zTE1N8a//9b8G8JT2v/7rv84v/uIv8q1vfYs/+7M/42tf+5q3xhtvvMGnP/1pzp8/z8svv8yXvvQlstmsp4avBzf7OzMzQzQa5cMf/vDWJXUhBOPj4zx69IgnnniCgwcPVvww3HnrlmV13cZWjvWM1G3bXkPWUkoePXrE3bt325oTvpVr6u75j42NkU6n2xoBu97n5Vefenm7GsD9+5Jrb2c5fthg90DUIyUv4ixF6vmiwbt3Z0hla1scQ+WENdM2yNfoNb99O0oqtdoBHrHy7BqfJP8wjTacAUVBKOoqoZfDKEKXpO7447RI6K7CvYXvsVUPd5fE2+YuBVRNQbGdeqQU0qnHC4FRdM7ZrcNrmg4hHaVamt8Epm1iKTZhNeSce5N9pG0LJuaX2TsYY09/rKJpYQ2kjZ1NosWGnM1KjQyJn+n3WtCGd9H70Y+iljJuNVPhUiJLOgcAFGWV4DWt65Kpbdtd3/ez2SyHDx9u+3U/+MEP+MhHPuL9+4033gDg05/+NF/5yleYmZnxJswBHD9+nK997Wv8/b//9/nyl7/MoUOH+Ff/6l957WwAn/zkJ1lYWOC3f/u3mZ2d5bnnnuOv/uqv1ojn6iGdTnuf6ZYjdUVRyOVyjI2NYVkWr7zySt0pOtvF0tXdgFSTk2maXLt2jXQ6zfnz59vaNa4HqfsVxeZLU7xM0+TSpUueO1wn2GqRupQSu2h4KcZUCv7nz4W4N/qYaGg3AB941uZzbxj0ll22iqKQWM7x/bvTDdPt7oS1nGGuic5dFPIaqaQGKCjC5kB2hpHcPAhBVlEo7IkSVRTUOqlawt3dDF3HsjUKd0VBqlqlwl1TkbZEtJDnLneIK61YEX23I2hrFYqqoKu6cyOUjumMsCWmEBTtAlqRUs2z/sS5WpBSULSLhLRQhVCu7vORzKWyFAyLA8O9aPWiUEVBSoGdXUKPDaLoazdnjbzfu4W+b4TeD38Ypew3LYRoHjVLWRbJmyiqgqJqKJqK2kEa3a+aeicGXh/+8Icb3kdqucV9+MMf5vLlyw3X/exnP8tnP/vZts7FJfIjR46g6zp/8Ad/sPVIfW5ujitXrrBv3z6eeOKJhl/cehjFaJrmtNm0cqG2gWph2/LyMqOjo0Sj0Y6Ib6sK5dzvD+DZZ5/titBha5G6M/PcqFjjf/5ciIdXJ4iGnMhbSLhyReWLX4zw27+zajQztbjMe/fnareeleBOWMsWi+TNfN3nFgpOBXuokOTIyiQhUVLcKwqWqmFIiMXiTqG9wopNgVi8y9S7gqJIqsNPoaooKBWOdI7CvRU6Xwt36ldH0XgLqLmqAqqmoYQ1NCFRhHAG8AjRcqq+Gmap1q7RGgGlc0UMW3BkVz8hver+44g2HOGhtBHZJZT4MGrVtD6/xcMuQkeOEv/gB50pdGVoNMylHqSQSGGBBbYCiqo5kXyLUbwfNfVcLretZ6nDKql/6EMf4qd+6qf4u3/37249odz8/DxPPPEETz/9dNMvbb3az2B9BHguaT5+/Jh33nmHAwcOVPict4Otln6XUnLnzh2uXLnCU089BbSeyl7P8ypHN+l3z+617PX37wnuj00QVh1C98rAUmFsTGV6WgUJd6YS/ODeTENCj4Z0TNsmU8yRNbINnxvXDE6nxjmZvk9ImI5TmQKWqqFLi0hIIg4dgFhVFBKLO39vGdW95sqavwHYrsK91Cqn4BC61QqhyyqClaBI0BUVdT2TyHUWFpoOQqBI4ZC8rhEKh4hGo0SjUXRNx5aCfLFILp/HKBpYprXqFldrTSkwbQMhW7unuG1v+XK9Bg6hIwWKtEvXmcTOJhBWseL1zqhXf2/tkdNniH/oQ2sIHXwgWImTqjdMrHzBmZPQ5P7rV019J4xdBUds9zu/8zsUi8WtF6l/4AMfaJlQN7r+3Q1cYdvVq1eZn5/n+eefZ/fu3V2tt1VI3TAMxsbGKBQKXLx4kXg8zpUrV3zzbN+oSL1QKDA2NoZhGOzatYvh4WEGBweRtu1NV3Mhhc30rUl69FV1dvl+QAiVmRnJfGGORwvp+iclnQlr2YJB1sw19hmXkvj8AkOPHjCjhsjhzO1WFDAVnRAWQ1GDHqMA4Qji6GEUwyzV0CNdReh1LV+1EFpZzVlBQdWaCOLKnuuk2yVaSUyotdCL3TXqObNpIdQG9fN6qXrLtjAMo1SHr5+qN2wTTRWEVJ1mb9K0bR7MLXNwVy8DsR7ngFKsLalIiZ1JQHwYNbRaVmk027xd9Dz9DNHnn6/7uN9ZTZBNhXXbSf2+UUgmk1y9enXrkXo7WM/6t9/rAty4cYNIJNLRSNhqbJVI3bV7dVX75Z0I24nUU6kUly9fZnh4mP3795NMJrlx/TrCtBgc6Gdw0PGN7unpQQobY/ER+/cWkDKKpGTIhevhoaCqFvPmY4yF2sNYwLnxhkMa6XyevJlv+D71bI6BiUlCuSxFKdi3z2RuQSGXVbEUjR5Z5Jg2STSfgZJGR4n3OpF5Fzcuh3LbUbjT0gATFUdA5pKPjURpqBDzD7UMb6QeQmlB4e6hlKovV9XXS9WXH84WNkJIwpreNJoWUjC5uII9JNjVG3GyB3VgZxMQG0IN9yCEf+r36PmX6HniiYbP8bOFTlFVtEi4aZav25q6lJJsNltXr7XdkEql+If/8B/yH//jf9zepL4eNfX1WHd2dpZ8Ps/evXt57rnnfPkBbIWa+tTUFDdu3Kjpve+X8G4jSP3x48fcvHmT06dPc+jQISzLYt/evVjHjpPNZEgmkywtLXH//n16wiEGtAK90RAjI708+5zg6hUVKVcJXQuZnHjhEYZSn9B1VUVVIZXLUKxKn1bAtumbniU+P4/HDlKiaZIjx1XMIphFk96FSdRC1fFyTl+6ONq+whc8f5y1gjhAaKG1lq9I7AZp6DWKde//KCX216EO3Aqk1iah10IpVa+iESJUoaoXQlAsmui28KL5IgJdC6HXM6xZPTumFlMYxSj7h3sbcrWdSwJDpexNl/cYVSV+6VXCx483faofojVondDBv5r6dk+/u5/DF7/4RUZHR7l27dr2JvX1iNTBP8J0x4pOTU0Ri8UYGRnxbUe7mZG6EIKbN28yOztbt4zgl5mNuznwQ/xTTepCCG7dusXMzIxnW2tZFrZlg22BhHg8Tjwe59ChQ5iGQXLiBumlFFNL85imyd/6eD+WeZxr12OOAYtucPyFh7z0av1hKRFdw7Rt0rnGNq+hlRUGH02gFVdJX5aoVug6ihREQpIeaaDka0x066IvXaKAXPt5C0UFValIuTezfHWu+Nr18VVluOIU0zcQEsUZzNJmy1orKE/V54VNSA85PfIVqXqTkBaiJxyprN2UaReEZYEUzKezmLbNkd0DDfv17VwSYRW7Sr8rmk78R3+U0MGDLT3fj1Kloqlo4dYI3T2mHzX17Z5+tywLTdP49re/zac+9SmGh4e3Hql3Mn7Vb/hRr3ZtUYUQXLp0ievXr/tKwptVUy8UCly+fBkpZUO7Vz8jdfBP0eueU/nY14sXL3oe0LZpYReLa6IAKSVyeYa+WJi+2EGQhygaBZbTK/ziLz7g4UOTuUWdtJ5gcFeYkBaGGjrUWFgnUyiSNXL1xXC2Tf/jaeKLizVbvOyQjmYLFK20fjMTojb70j1BXBXJCtWp4atlG956CveW+sjXSaXdDBJAVUFVUdZxsE05VFVB1TR0dOdasgW2EOSNPLlCnp5QGF0Poeslu1kFhFXpUJfMFLBsybG9A2gNWtYUYwVpG0D7Alwl0kPvRz6CvmdPy6/pNlJXdQ2tTbFwt5G6EGLbk7qU0uvVl1J6rcRbjtTbwXql37vNACwsLKxpy/M7q7AZNrGJRILR0dG6Q2bW4/zKSb1buBuN5eVl3nvvPQYGBryxr1JKbNNE1BilKW0TI/EY28itnpMC4XAPe/ZG2bN3D0N78nztnWuEDIvsikHatgiFwoTDYSI9YUKhMLGwTjqfI2fUH9wSXllh4OEjdMOsHGIiXUIPoRWLlenVZjfENvrS69XPRQ0RmatwL0dLinVZyjdsUrpdqKqjcF/nwTb1oCgKSo1UvWmZnkukIoUzv13XPfMegJV8kUfzaY7s6UfX1m4aJU67mMilEOHwmna3RlBjMXpf+3G0No2ipOxcKKfqOlq7WaRSy3E3pJ7L5ZBSbuuauqIo/H//3//Hhz/8YT71qU/xZ3/2Z3zyk5/c3qSuaRpmC/OMO1m3EwKWUjI+Ps7Dhw958sknOViWvlqPdPlGbRLKXe/Onj3L4cOHm96Q/aqFt+qb3yqSySTXr1/nxIkTnDhxwjtPq+j4t1dDGHmMxGOEMBy6KnvbzmcgSWUKvHVnGltCJBymt68P27YxigZGsUgqmSWkacwjQINwKLzWHMS26ZuaJr6wUGHCIl1ZvaJia46xS3VsKcNhlHhvd33p7Vi+oqCoqwr3plF5uQCupDtolc/91s4JTUexCijrOK2vGrK6ba8KbqoecPrZLQvTlBimgV3Io6oquh4ipGtEI2GW80XGZ5Oc3De0tpe99LYURXHEczX62GtB6x+g97XXUDuoMdt2+33qAGpIR+sgbe+W47oldWDb1tTdjoP//r//7/mzP/sz/u7f/bt885vf5H/4H/6HrUfq7abf3ZSDn+iE1IvFIleuXKFQKNR0wVuvSN2vtHS9dLllWVy7do1kMslLL73E4OBgW+fXLdz31u1aUkoKhQLpdJrnnnuOvXv3euvahWLt955LYaVnHPe4VUfW8lVJLOd5++40pmVX3Lg1TSMai9Lf14stBcmVFHYhh1kwyGYyaLpWiuRDRPMFBh5NECoaJbV5idDdo5Tao8pHl1afrTh0wBnWki2rrbfYl17i2ZqCOCsUIlbH8rW1FDurlq+yZGlqWmAaEAp7ZYF6rmt+ErrbsuYKGjcMbmai2dOEwLCKaKpGT08EiDgT52wb2zYxDItsLoeu6RSLGrdMi7OHdhPWV8lNuiUdBVJJyfKjFAMjw+zeW/9Wr+/eTfwjH0XtsCOnk5Y2LRRCDXVGP+59tJuaejabRdd1Xy3GNwNCCG+E9Z//+Z/z//6//+/WI/V2sF5CuXbXTSQSjI2NMTQ0VDF0phx+R9buLtVPUq8mzmw2y+XLlwmFQly6dKmtH4BfQjk/0u+maXLlyhWKxSInTpxYJXTLwjKMtQwJGOlZ7GxidQa6d0tWPJeZxHKet+5MVaSgy5fq0TWKls1KMQMqpbp9DCmcKMwsGmiPJuhZWMTWNKTqjA9VVMUjOVsPoQobpYGqHABN66gvffXdrTWaEbqOXsh6xKtpqmOyInH6yVtBucJdCJTZWZTsqkpfxuPIFsdLdoO2W9Z8Rs2tT/mGR9jeLAFb2BRkkYjmZHTCWghNDWPZgogQnpgzmV7hh5kMx/b20x+PldpkFQxD5S//Mszjxw7pCbnC7oPD/K2flVRLYEL7DxD/8Ifbmr9ejXZT4Vo4hNrF8dz7aDeReiaTIR6Pr+s0u/WEe180DMNrwbYsi//6v/6vtzepb3ZNXUrJw4cPGR8f58yZMxw5cqQuwa6HsA38M36oJvX5+XmuXLnCoUOHOHPmTNvHWA+hXCfIZDJcvnyZaDTK0NCQ595nGwa2WUMkJQXG0gRY+RpCLldA5hD6m7enKoeUlD01FnYMZTI13OEUVSEmBYNTU4SyOURPD5Ztl5TRRae1R9dQIj2ELZOWc9XgEHmLNcrV+nkNQZwCmmF4qX5dUxH22uEhrR2nNKludhYlW9kVoGRzMDsLe/Z2sHKLx6/Rsrbh1fxaB3QJ3bYRVYI9KQVFq0hPKOJMUCxtHFVVda7hMERxCG46VcSybEgk0XWd0dE9LCys/l5VRbA0neTf/dthfu7nV6/F8LFjxF79YNcT1IRoXYmuRcIdeb2Xw1W+dxPMbHc3ufIM5v/yv/wv7N+/n3g87rgebvK5rcFWUb83I3XTNLl69SrLy8stpaVVVfV9VCr4Y/Diruem811dwNNPP83+/fu7Wq9bKKWRnZ2s5W5MDh8+zJkzZ3jvvfcQQtS1oRRWkcLCI+xiBk1TV8lUljQCJfJzI/RaU8cUHMvXlXyRrJmtuRmJzi/QPzWFUqpFqppKWFOBEEI4kZqpAJkMppRouoam6mi6iqqo+EFJ9QVxOkopM2CXasERTcOyRWdHdTdGhlkRoVecSTaLMmgiO0zH1j10vZa1jeyca3IsZ/547XuNooJhG2hCR1NrE6GmaaBpLFsqJ/buIpEwmV9YS1YKNouPkywu9LN7j0Lk7DmiL73kS5ZPCFkh5qsHPwjdOd7mDXPZajBNk7m5OSYmJshkMuTz+a1H6u1gs9Lv6XSa0dFRent7Wx7Gsl6Rul/v342sf/jDH5LL5RpOx2sFmzmIRUrJ/fv3uX//Pk899RQHDhzw1hGGUZPQ7UIGI/EYaZsl8loldMf8zDl+KlPg7bvTNW1QNUVBUxWWC3lyxto+dcUyGXw4QSSdLonu1griFFVBC0UI2RbEYk7N3xbYtoVh2M4mR1Uccu9QRdaK5asC6IoC+lqFe2sHqVK4m002tJYFPtoyS8XZlNVtWdvgUF1RKq8ncFrWZJ17gqaqCCkQUmJjECZcl9gBTFtwfz6FbgzWfY6mWkzcnSD6/KvEn3vWt+4DJ1vYgGQV0CMR32aq++n7vlkdGH7A1QV897vfrfh7QOp11q2lqpdSMjk5ye3btyvU062u6ee5Koriq6I+W4qiFEXh4sWLXZtJbPQgFheusC+VSnHhwgX6+/sBnLGPplXzJmqtLGCkHce2ckKvHgWazhZ46/YUZo3RqWFdIwfkDANNqfH48jIDDybQLGPNus57U5DVk84UUDUVVVMJlaxILdvGNA0s28LKWk7vs6aX/MabTw1rZvnqit9UBaSqNHSIa3AQ1ijcQw02vhLoosa6ZjlVBzavZa0hXEI3zVVRWxVq9f4btkGIkKeSrwXTFmTNBIoaQYraz+t78QRLYYtH736faCzG0NAQg4OD9Pf3dxz9NiRZRUGPhH0jdPd43UbqmUxmW/eog3PPtiyLTCZDJBLxsppbjtTb2TmtZ029UChU/M2yLG7cuMHi4qLnPtYO/G5p83PN6elprl+/DsAzzzzjyyAbv4Ry7lqtkHoul+Py5cvous7Fixc9YZ9tmtiGWVpn9flSCMzUNFYu7R6p/Kil6Nn5Vzpb4K1bUxg1CD0a0ilaNgXLmYEej5Sl9YSgd3qG3rm50qqV60qc9LSX9m7g740Cuq5h2xqqphPSNWxLIITt1OIVpSxVr9Usxde0fNV1dMv0lOya6jzLFs3ngHuLVCvcqw8eDiHj8VJNvfwcFGRvDOlTlC5LnyMNrpd6znfrCe8jkhK7ylSmHLV6/12YtomUkpBW/7PSQjYDB+dYnt6LsMuepyjoz73AMz/puD/KUC85JUYqlWJ8fBzDMBgYGGBwcJDBwcG2oth6uh5FURzbV5/FaH5ZxLqGU9sV+Xyew4cPr9mcbDlSbwcbZRObyWQYHR31VOCdDGNZr+Ez3RBnuU3qs88+y3vvvedbytwvoZy7VrP3ubS0xOjoKPv37+fcuXPe8W3DcKJ0KjcHwjYxliawjXwVcbkTolaJd3pphffuz62toUtnwlrOsDAsY42Hu2oUGbz/kHA2W1mXLydARVnTB97O56KGVUAnIiOOAlYITMugWBSomoqm6WiaVhIWVb5eKM5M8FBZO15HM9DLFe4NiECOjICrfndt7HtjyJERpG23toFogHYU7us41LX+0aTEblCGCGkqZpNShyWs0nPrE/uBgyuENJ3Fid1IoWGjo7/wEr/ym/2rZ2RmGOiNsvvUKa/dM5VKkUolmZycRFVVj+CHhgYJ1zEwcn5P0tGglL9jVUErRY9+I4jUHQwODvJ//B//x5q/b0lSbzUyc4nSr7au6nVhNYo9cuQIp0+f7tw5yeeWtm7XLBQKjI6OYts2Fy9e9Oxe/Rbe+YFG14OUkomJCe7cucO5c+c4fNgZXiKFwCoaFel2dx1RzFJMTJXq5+VuMoB0W9YUkHDz8RJ3ppfWvr/ShLWcYVG0ihTMgieOB4ikkgw8nHRS6VVCO+e86YrQ10DBidLRgJBjqGPa2MLGMA2nRq7pTrpe10DX0SUoVZavHdXPqd9nXgFNQx48iDTMNX3qdEnqm92yVg/OZSuRQiDqecxLCOnNCd2FJSwkkrBWo6QhQdMkp84anDg5x0BsP3t+/DwHn+hfu05mAUUPoccGvXnx+/fvRwjBysoyqVSa2dlZxsfvEo3WTtW7959yh8N2BrN0Ar+Ectud1AcGBvjEJz6x5u9bktRbhdsPbtt2zd7wTuGq6q9fv87s7CzPPvus19vczZp+p987XTOZTDI6OsquXbt46qmnvB/IZqTMu1lLCMH169dZWFjg/PnzDA0NOX+3beyiseY1iqJg59MUFnOlu21Z3ti7ATmvsSzBD+/NMptaOyjFmbCmUDAtCmahMkKXgr7JKeLzc95y5YTuOcSpCkLV/CH0GlAUBT0cIoSOlBGEsB3BnWVi2MIxulFXZ3/rnQrioEbrXxO00XbXCoQeQt2ChO6gCaEDehuE7sIWNgbGGmKvuObjIZIvHeHJU/XJy0xNo2ghtLKSkaqqDAwMMjAwyNGjRzFNk3Q6TTKZZHx8HNM06e/vZ3Bw0CNGN9hZb0IHf4Vy2x21AtptTerlu0U/Sd2yLFZWVhBCVAz76AbrFam3Q8LlUW2tvno/o+v1XssdLANUlERs03JSnFV7ACklZJcQVhb6DlJO6IqiVoiWckWDd+/OspxfOxI1omuYQmJZ9hpC1wyT4YcPibvRS0kQV0HoKEjNHYyyTsNEqixfFQV0TSOk6Ug9hmKa3uxvx7wCioaGVhoLWmFh2+jevMke7m7L2pYj9HKFu21jmyZE1m5iFBxDn043U7awKcoiEX01Ne5+H3Y8zvLTzyAVnbfuTHHp7KG1lrIlmIlJlN3HUUO1U+yhUIjdu3eze/dub3CIk6pPMTExAcD4+DhDu4bZtXev0zWxjvAj/Z7NZmtOl9xOEEJUBDzu73BLknqrUZ5rQGBZlm92f/Pz89y5cwdVVXnllVd8cxxaj0i9HeK0bZvr16+ztLRUEdV2ul4zrGfUn0qluHz5ckWmwamfm54rVzmksDESk1BMO5arzqrOf1S1IkW/uJzl7duPMay15x4L6+RNp9xTTejh5WWG7twFy4RIZK0gTlYL4tZPrFXt4e4OWfEiWkVB03V01XnMMp0ovnIsqOa8qt5ptunh7jdkaQRsJ1PWJBK1xgQ931BuKmOZNTdGTrJGaY3QG7QuipJJjUfsUmL29mE88wFPfJjKFHj37jQXzx6s2U8upcBYmiSy5xiK1pgSFEUhFosRi8U4cOAAmUyGsbExemIxpufmuD0+Tm9vL8PDw1663o9Z6+Xwi9SPtzArfiujHjdtSVJvB34p4IUQ3L17l4mJCY4dO8b09LSvFoLrJZRrZc1yVXgju1e/o+v1SL8/fvyYmzdvcvr0aY4ePdp8IItZwFiaRFhFKore4Lh7lL3fB/Mpxh7MYVl2RfSpANGwI4gD1hB6fGaGvulZDNv2hnf4KYhrFy6hu2QuURCaWhHR6qqCTUnhrqnomopeapsTto0lbEzLAikpFpxRtJpabmFLW053TdFGz72b6VDWQSTrFxqZyqz657f4+2jyuQgpKFhFevQIxaEhEkeOMFjVTbC4nOO9ezO8eOpAza9NCgMz+ZjQrqNtZ17UkM6ps2cAxwwlkUiQSCS4desWpmkyMDDArl27GB4e9qU33I+aei6X29bp90ePHnH16lWGh4cJh8PEYjH6+voIhULbn9T9IMtCocDY2BimaXLx4kVs22ZyctKnM3SwWS1t7hjYAwcOcPbs2YYbla0cqQshuHnzJtPT0zz//PNe6qzRQBY7v4KRfFyKxBUcv5YSeyhAKeUupWTs4TwP5pJrIlNVUQlpikfoRau4SuiWxdCDR0SW06svKDOqcdb2WRBXB9Kjb+etqSUmkKXe9VZmoLvnbwsNy9RQNRuk6f3GDMNEUZzpWK7obqNNXFppWdtslPegOy2Lq4+5pjItnX47Gx0pSA31sXzkJNSJ/qcSGUIP53n2eG19kG3kID1DeLD5ECAPmloxaS0UCrFv3z727duHlJJcLueR/IMHD9A0jeHhYS+S7yTD6ke5dbsL5b7zne/wO7/zO4yMjKDrOoZhsLKyQiwW25qkvpFWsUtLS4yNjbF7925efPFFdF0nk8n4HlWvh1K/UUpfSsm9e/d48OBBhataI/jdhubXWgB3794FqNA4NBrIYi7PYy4vsPqgUmm7Ujo3w7J45/Y0iytrHeBCmgZIiqWWOE/lDmi5PEP376MXq+rubqtWqX6+3oI455DOO3ONY9yrS2iaM0SlLCJspHAXNszMquQ8N1eNnh6NgwdBDzkz52XJ4c4wTUSxiKqp6KpjfqO0YH7TEM2Mc/xSuHfoxNd83eY96G21C7Zxjtn9+1k5dpRioUCY+kY/D+dTRMM6Zw4O13zczqUw9R5CvbUfL4cWDiELSt1AQVEU4vE48Xicw4cPI4QgnU6TSCSYnJzkxo0bXqp+eHiYgYGBliJwv9Lv25nUz58/z2/+5m8SCoVYXFzk3//7f0+xWOSFF17YmqTeDrqZfe5aiZ47d45Dhw55ZLseBFw+F9zPNWuRujuVLJPJtGX36nek7sfGaHl5mWw2S19fHy+99NJqx0OdgSxSCIzkY+z8Cmvu3oqKtC1c5k3nirxze4pscW3vcFTXKdrCG8ZSnnLvSSYYeDiBItx54pU1f08Qp6+nIK4kvisRukplQ5jQdRTLqvhbs5a1mVmVfBZWPzNJsaAyMwsHD5QsajUNVdMIEUIKie0K7gomqI4gz6vJtzOIpsnjvivc/SZ1KR1BXI13oqB01S7YDCtHjpA96GzahRAURKHhfebm40V6QhpH9g7UfNxankUNhdEi9UnPnbTWzkApVVUZGhpiaGiIkydPYhgGyWSSRCLBzZs3MU2TwcFBj+Trper9IvXtnH4/d+4c586dA+BP//RPOXr0KH/0R3/EqVOntj+pd1JTNwyDq1evkslkePnllxkYqLy43QvGj9pN9Zp+tGO4qFVTX1lZ4fLly8TjcS5dutSWO9xWq6nPzs5y9epVwuEwR44cQdedaNEu1vZvF5aBkZjANgoliiuloHFabcpvD9OJFX44PoNV4/3GwjoF03Lml0lJzsxh2U59uXdq2nOHg8r6uYKCcNPtmu6MTF1PQRwKWo3+8GoCVBTQlMakYhqUIvTK1j4hJdkMmKayxulVURV0VXduImG8tjnLsjCKhhfFq5rieIN3SKRC85fQff9GmpjKaBrNCb2j7IFC+uRx8lXttjY2WSNLPFy/fj32cIGeiM7egdrEZiYeo+w5jqqvTY+XD2bp5h4ZDofrpurv37+Prusewbu1426PCc5v2g0UtiuklBiGQSQS4atf/SpPPvkkp06dAraoUK7d9Hs7pJ5KpRgdHaW/v78u6ZUTsF+kXj6AxQ8bVnfNchKemZnh2rVrHDt2jFOnTrUveNkiLW1SSk+0+Oyzz/Lo0SMv9VttKONCFDMlQxlrjaGMggJe+wfcmlrk5uQS1bd3BYWeiEYmX/Tq+Dkz6zjJVdfPaxjKUKqfrrsgrvT2NKqc0aQzA72cAF3L11qbl3I4ow4qhYSyTOFumrKhfTsKqOVRvHSieGELjKLz+/SieL21KN5rWWvQ473ZkEI4CveaD4KmgtHsZ9AJoSsqyTOnKA5Xpskdm14FW9jkzBzxULzm2kIKvn93hg8+cYiB+FqHTCkFZuIx4d3HV21eFdDClZPW/ApS2knVF4vFrrOd210opyiKl7U8fPgw7733Hrdu3eLcuXNbk9TbQas19fIe7VOnTnHs2LG6F4bfE9DcNf0Uj8FqTV0Iwe3bt5mamurKKGcrCOXc0kE2m+WVV16ht7eXiYkJhGVjFgo1wywrs4SRnkNKdzxolaGMXI06rz1OYmj5NWvoqoKuquSLzrVk2RY5M4eUEq1QYOjeffSyeQBrCF06JGTrOpF1VbgrqChoVfG5VBTQ1AoC1FUVu0VRVihURehej7tSerzx66t5ybvp6BCWThQvbLnaNqepaGXmN9VfbDcta83RbazufFYNCR3HVKZQbOH82+Qnqekkz53B6F/rEleedrdsixw5YqFYzWNYtuCdO9N86Mkj9ETWUoGwipipacLDh0CpPWnNz2xmORql6vP5PDdv3mR2drZpqr4etntNHVaDz1/5lV/hl3/5l/nMZz7Dz/zMz2x/Um8l/e5O7komk7z44osMDzcWgSiKsi4taH6v6c5o//73v+8p97vZfW52+j2TyXD58mWi0WjlpDghsGsI4qSUmKkZrGwSqIxa1xrKWHz//gLJbJ6hwcrIJKJr2EJSKAniTNskbzrEH15eZvD+Q68u7h5j1VDGfcMKUlfRDBN0/29y7rFVoHqyudScMazlLV6t+Ig7LwYUCIUlsbhCPutsflCcCF0BovHGQ9acc2v8oBPF47XN2baFLQQFwwCnOcEpZQgJIX19W9a6zr9Lpwe9wYZjvWroIhQm8cRZrDq/c3dAkAvTNsmTJxqO1nx+3rB45+40l87VNqexC8tYmSV6dh+oOZilnZp6NyhP1ScSCY4fP45t201T9bUghCCXy217UgfnHvj888/zR3/0R/xv/9v/xhe+8IXtT+rNiHJlZYXR0VF6enoa9mhXYys4wDWDYRjMzMywb98+T7nfDTYz/b6wsMDY2BiHDx/mzJkzXv+5bRgoQq5ZSwgLc2kSq5hdU1OuNpRZWsnz7p3HZIrWmht6NKxTKBnKICFv5ikYeVAUovPzDExO4b6oemQq5Q5xSFRLsB5SqGpVezmkpjmlBXd30Y6PeFV4vX9EMDOjkMut/jHSI9g/0s3Z14ACmq6j4UTxUggKRhEhBFnTQDWKhMqjeJ9FbeUeAp1A2Bayzr3BMZVZJXTXt8AP2D09JJ44h91koFT18QzbABOiodrEnsoWeO/eLC+fqdHDroAoLCGMAbSetTVoPzVCrUJKSW9vL/39/R2p6t0x09u5pu7CFSQ/88wz/Mmf/AnAetoqdQ6/WtqmpqZ4++23GRkZ4fz58231RG7lSN0tJUxPT9Pb28sHPvABX2xyN8P73e1CGB0d5cknn+Ts2bPOa4XAKhQRlnvTWF1LmHmK8/exi9m1t8sqQ5lHC2m+e3OCglk1MERCNBwib1hOvV5KskbWUbgLQf+jCQYmH1OP0B0+d2rYihSoPnsQuFBL6fZavwih684gFNcmkjZ9xNfshSQHD0mOHRMcPCg4fMRkz94C6vokHrxzUDQVVVFRoz3EwxF6dCdDUzQMcrk8xUIRy7QccyGfVG5t0WzZMYVl1iV0VXXmWVdO86uzgWjzfVixOEtPPdWU0OvV52tNESzHbCrDzcnFir8pCmghZ4SvsTSBsNaKATcqUi9HtdbJTdWfPHmSl156iQ9+8IMcOXIEwzC4ceMG3/nOdxgdHeXWrVv88Ic/ZGVlBaCjSP33fu/3OHbsGD09PVy4cIF333237nNN0+Qf/+N/zMmTJ+np6eHZZ5/lr/7qryqes7Kywq/92q9x9OhRotEoly5d4vvf/35b56RpGleuXOFLX/oSv/qrv7ozI3Xbtrl58yZzc3M899xz7Nmzx5d1u4Uf0b9t29y4cYOFhQUOHz7si2ik/Pw2MlJ3yyKpVKqiC6F6IEv5HHQ7l8ZITXuGMqtYayhz9dEC92YTlQeVzs03omvkDaceKqQgW8wipEA1LfrH7xHJZspWrjVhrbYgzq9Z3Q2jcyS2rhMq28wqitK67eiaBSs93ENh53+2JanRNbgusHWNsGWh6DqKrqGiEZKrgjtblMxvVEruds5Y2XXpN69G6RjlpjLV0FQFAU75oN4CLtoUxhn9/STPnkG2sHFvlIUomE5XSFivnZq+O5OgNxriyJ4BFFVB1VXvmpDCwlh6RGRvpQB3vWrq9eBeD402EuFwmJGREUZGRjyleyKR4K//+q954403iMfj7N27l3/37/4dH/vYx1rmhz/90z/ljTfe4Pd///e5cOECX/rSl3j99de5fft2TR3Tb/3Wb/HHf/zH/MEf/AHnzp3j61//Ov/tf/vf8uabb/L8888D8Eu/9Etcu3aNr371qxw4cIA//uM/5rXXXuPGjRscPHiwpfN65513+Lmf+zlCoRA3b97cmpF6O6gm31wux9tvv83KygqXLl3qiNDddbfKVDUXuVyOd955h2w2y6VLl+jt7fX1HP22dm10bu57KRaLXLx40SN027Swqhzi3KjfXJ6jmHAd4srtXisFcaZt8+atyTWEroBT11VU8saqIC5TXEFIgZ7Ls+vWLSKZ2oTuDnZbb4V7o+hcomBrGrq1es1rqlJyguuE0MFRuG+wNVwZnJY1a+37VUptcyGdSCRCLBYlEg6joGBaFrlcjkKhgGW0H8W3lRIvtazVI3RdUxFC1iH0GhzbxqGLw8MknjjXEqE7p9r4Q8ibecwG3QRjDxZIZAoVhO5CGDnM5FTF3zY6/e7eU1rdSCiKQm9vL0eOHOHnfu7nePToEb/xG7+BaZp88YtfZGRkhBdffJHPf/7zzJW1qtbCF7/4RX75l3+ZX/iFX+DJJ5/k93//94nFYvzhH/5hzed/9atf5Td+4zf4yZ/8SU6cOMHf+Tt/h5/8yZ/kC1/4AgD5fJ4///M/55/9s3/Ghz70IU6dOsU/+kf/iFOnTvEv/+W/bPkzeeONN/jpn/5prl+/zr59+7ZmpN7ODaZcKDc3N8fVq1c5ePBgU0vUZthq6ffFxUXGxsbYv38/586dQ1VV32v0GyWUW1paYnR0lJGREZ544gnvufUGsiAFZvIxpjbI6tzuks69ShC3ki/y1u0psoW1qcJwWMPIglH6DopmgUIpJRlJpRm8/xBsqxRIVU9YK52KqjgjSxu0MXUKhVV715pLKwooKnpZj1TbLmXl68l18HBv5/jttqxVt81Vm98oTtucpvkYxTcwlYEWBHFdXA/5vXtJnzje1vdTLZSrhZyRozfcW5MYLSl46+40H3vuBNGetfRgZZdQI3H0+BDgkKxfLbqtoF1Sr0YsFuOpp54iHo/zgx/8gIWFBb75zW/y9a9/vWEJ0zAMfvjDH/L5z3/e+5uqqrz22mu89dZbNV9TLBa96ZEuotEo3/3udwEnU2nbdsPntIKrV6/yf//f/zfgBEs7IlI3TZNbt25x9epVnn76aY8oul13KwjlXLvXy5cvc+7cOZ588knvvfkt5lvv9LuUkkePHvHee+9x5swZnnrqKY/QrWKxJqELq4iyMoMoOtHzqvocRxBXRuizyQzfvvqoJqHHwiFMSyBESRBn5D1Cj8/MMnTvvuMp7p7rGkEcjkOcoq6LQ5wbnddjIuHOvBeVCnerFUKv+YTSzX+zCF1RQVO7allbjeLDxGJRekpzvMujeNNwxsxW2gk0E8qtZn4cU5nan3CoVYV7Bx9x9sAB0idPtP39uH3qTdc3s2vFp4CtQN60+M7NSWy79vs2ko8RJbvkjU6/u/e7bu7vrpucoijs3buXT33qU3zlK19h165ddV+zuLiIbdvs27ev4u/79u1jdna25mtef/11vvjFL3L37l2EEHzjG9/g3//7f8/MzAzgCPUuXrzIP/kn/4Tp6Wls2+aP//iPeeutt7znNIOUkoGBAe7fv+/9e9uTum3bZDIZlpaWuHjxIiMj/kh1t0KkblkWly9f5vHjx1y4cGFNjcXvEoHfferlkboQguvXr3Pv3j3Onz/P4cOHvb9b+ULNCWt2IUNx/gHYVX7aSimbU3aud6eXeOv2VE2TlWg4RM4wkTj184yRcRTBQjDw4CF9U9Pe+tVRToUgTogKUvUDCjg959L919obqdBCKHalO52mKh0p3J0/rZf5eWuQpUEwvraslaL4UDhET08PsViMUMmBsFA0yOXzFIuGk6pvfoaOx309lzjZRstgB1g+epSVo0c6fn1Lxj4lYahrg2zjELqLRCbP98frEIsUGEuPSnMANjb97h6vm3LRRlnEfvnLX+b06dOcO3eOcDjMZz/7WX7hF36h4vP66le/ipSSgwcPEolE+Bf/4l/wqU99quXPVErJpz/9af7pP/2nvPfee44HxHq9oW7Q6he2uLjIrVu3UBSFV155xdcvarMj9Uwmw1tvvYUQgosXL9Jfw2hiq6ff3bUKhQLvvvsuy8vLXLp0yZvlLiwLq1Comaa3MosUFx8hhAVKWeSslKLZMkOZH4xPc22ifHiLew4KPaEyQZwQ5K08trBRDZPhW3eJLjl199U0ex1BnG01t3xV2su2rkbnlDh27attPYRqmx4FKziE3vHYzhYjudXnt/7UlpbTQmALzzd/3VBqmwtHwsSiUaKRiCMkFBZSSIqGURnFlydmhN3UVKYpobvlmnY+b0UhdeokuQP7W3t+3WVaO56QgpyRw5Ygarzk4XyKO48Tax/AGWlspqY2XP3uh8tnJpNpW/m+e/duNE1bU3efm5urG0ju2bOHv/iLvyCbzfLo0SNu3bpFb28vJ06c8J5z8uRJ/vqv/5pMJsPk5CTvvvsupmlWPKcRVFXlV3/1VwmFQvztv/23t+6UtmYon0B27NgxJicnfU8BbWak7nqeHz16lNOnTzd0vtuqpO4K5VKpFJcvX2bXrl089dRTqxa8DQaymKlprFzaWQdnCpQUYk39PG9YvHN7imR2rUNcWFORUqFglgxlLJOclUNIQSibY3D8HppZ5o9eduN1s7OKArbmvyCukbJ99SQUhF5Zu1dV5zVGq4ResV6lwr2tk/UJzYay+NXPXWNh0FRCmkqIEPl8npAWQiAoGgZSOFG+rpW2WMKu+75bNpVp861IVSN15hTF0oa3U8impYVKFISJbeaIRWI1Hx99OMdQbw97Btc+bmUTiHwaTfPbyKA+/CD1XC7nTXpsFeFwmBdffJFvfvOb/MzP/AzgBAnf/OY3+exnP9vwtT09PRw8eBDTNPnzP/9zPvGJT6x5jmuRm0wm+frXv84/+2f/rOVz27NnD//pP/0n/vN//s9cv35965J6vT5nwzAYGxsjn89z4cIFVFXlwYMHvh9/M1rahBDcvXuXyclJPvCBD6yp37S7Xifn52ekblkW3//+9zl9+jRHjx5dNZSpN5BFWBiLj7CNfMUN3hmUIisIPZHJ8+6dKU/FXo5oSKdo26uZgrIJa9FUmuFEsm6kuEYQ14bveCukpLbwPKk4hjbltXtNdT6DTvh8VeHewWt9QktT1tbx/KqXVjUFXQuDBCEkQtiYxQKmYTi1ek1H0zW0kvlNtalMXdSqbDR5X1LXSZw7i+mHGUqL14dEYiERQNEuopoqPaG1PfBCSr536zGv1xHOieVZFHGyy5NuHX7U8Du1iH3jjTf49Kc/zfnz53n55Zf50pe+RDab5Rd+4RcA+Pmf/3kOHjzI//6//++A02o2NTXFc889x9TUFP/oH/0jhBD8+q//urfm17/+daSUnD17lvHxcf7BP/gHnDt3zluzGTKZDN/61rd45pln+NjHPsbHPvaxrUvqtZBMJhkdHWVwcJBLly6h6zqFQgEhhK8jTcEh9WL1rGwf1qxHmoZhMDo6imEYLdu9btWauhCChw8fYlkW58+fZ/fu3QCNB7IYOYpLj5G2sfaeqKgVJfXJxTSX78/WTEHHSvVz54CQM7OYJXLsn54lPDmJUmeXLks9a1JXUSS+C+LqtalVnEPJ8rX82JulcPcl8y7XYWxql3C7G4BSLd4p54TDIcKhELawsS2bYrGIFBJd19F1FUVxBtI0/BJr6BfUBlVOEQ6TeOIcVpuRYz20ku6XSMwqR4W8mUdVVcLa2h72gmnxvVuP+egHjqKqVW1uwkKkp5H7D25IW6QfNfxO0u8An/zkJ1lYWOC3f/u3mZ2d5bnnnuOv/uqvvOBrYmKi4twKhQK/9Vu/xf379+nt7eUnf/In+epXv8rg4KD3nHQ6zec//3keP37M8PAwf+tv/S3+1//1f23aUeDy3ZUrV/iZn/kZfvzHf5zf+73f2z6jV13V9N27dyuiPqicqOaHq5qL9Uq/19oopNNpLl++zODgoDPkvsX34Xf63Q9HOXdzUigU0DTNI3Rh2VhGsSZTWNkkRmrGVaWVn1EpVy0RUiCRXHu0wPjM2jqfgkJPWPMIvdxQRrEF/Q8foi8sYFSfQNEAo4gMhVF6IhiKgp0voCkquq6hqO3eqNa+wWatai6EpqNUjWtt18O9+o+b2X+Ol3HYOoQO4A7fcT+ZClMZpWRuo2mECaPgCFZNy8a2VmfGa5qG3mXbnBWNknjiHKINp8umaLITq0XoLnLFHFpEqxkJL67kGL0/xwunKlPtQkhUYWCmZwgPHujixFuDX+n3TvVXn/3sZ+um27/97W9X/PtHf/RHuXHjRsP1PvGJT9RMxzeDS+orKyv09fUxPDzMxz/+cf7Nv/k3W5fUPcMR0+TatWuk02nOnz/viaxcuF+wZVm+kvpGeb9PTk5y69atppPjWl3P7/NrBysrK7z33nv09/dz9uxZ3nnnHQBswyz1+lZCSomVnsPMLLl/wbtLKiXVmZRO2tMSvH37MbPJ7Jp1vAlrpVS8LSyyRhYpQTMMBsfvE8rlqIi7LQumppAly0hFUbD6+jAHBtEiYWzbwjCKjh+ArqGrpZtdG1EatBadg2P5qlQZsOhdELqkTUGcz5CqCkobU9Z8FuQ1g+Iwu0PUdQSQuqpiC+H41OulQTSlKN40TYqFojMzXtPRtDpRfJ1GAzPeS+KJs0ife7wb9ak3InT38YyRoS/SVzMavjOTYHd/jCN7V0W7QtgoqoK1soDW01fTH95P+EHq2Wy2aWlzu2B2dpZz587xJ3/yJ3zyk5/kv/lv/putS+oAy8vLjI6OEovFuHTpUs3JO257w2a3n7W7pmtlOz8/zwsvvNCwR7Ie3B5vvxSo3ZC6K+47fvw4J0+eJJ/Pr/q31/gcpbAxEpPYhSyrd77ahjI5w+KHD5eI9K7tAKiesGZYhjdhLZTJMjR+D7WWoc3UFDKTcRziVAWhqOiZDHFbIMvaiSzbxrYtJxUrnVSsqmpNo/iWxHA4b12EKtPTzhTVNqZ81VK4b2KE7gyZkW21//llr9viwZDSidDbMpUpi+LB2ZTalo1t2xilTauuac4mUNNK43lZ8/0YAwOO7avf/d1ug0iNq04i12apakBIQdbI0hfpq7kZeffuNIO9EfpjTnZBCGfTDWAsTdIzcgZFWz9a2cya+laCqzfLZDLePftP/uRPeOONN7YuqbvTdk6cOMGJEyca3qRaGb/aLtazpS2fzzM6OgrAxYsXiUZrT09qBvfi9pPU27WJlVIyPj7Ow4cPK8R9CgrYAtuy1tpNmgWMpUmEN2Bi1VBGqZqwNp/O8O79BXKGTXWSsnrCWsFaFcT1LC4xMDFZJYgrnUfR8CJ0VAWhKKilTYSSyyJNwzE/V0DXHQInXOqpt+3STHAnSlM1Hb00G7z8KK2k2z1BXBmha6rqiJh88HDvGrJ9RbrTsmahbHTo3Q6kwLaMNfVhF62WPBTFMb/RQzqRUhQvbIFlmhilKF5KiepmnRQo7NpF6tRJWIc2MHdjtOb3VorQW4UlLHJGbUW8JQTfu/mYH3/uOLrm/FZVzXkvUpgYiUkie4538S4aw4+a+k4gdReLi4vee1FVlS996Utbl9Qty+L555/3arKNsF5R9Xp4vxcKBd58880Ki9RO4b52s8alWpbF2NgY2WyWV155xRtlKGzbGZmKXCNgtPMrGMnHaweyKCUCKTv++EyCaxML2LaoTJFKiEUqBXFZI4slLJCSvsdTxOfma5+0BGkU3TfsiNKqNjJK0UBWDxBXQNVUwpoKhJDSucHYtkWxYDo3b01FlSUjmWaK55Ll6xpBnBD1ssE134t3nO2icN9kSCGwjCJhvbYwrSVCr6Nwd6P4ECGQzlyBomFgmhamaZHfv4+VwweJyHUej1l2bu0SuouiXUQzNSKhtfX+dK7ID8edUa1Crkbq4M5fX0TvbX7f7gR+pd+3M6m7UyUBnnnmGU94Z1kWqqpuXVI/ceJEy0TdaPxqp/B7TSkli4uLrKys8PTTT3Po0KGu19xMUs9ms7z33nv09PRw8eJFT61pmxa2YTjRCZVmLubKAmZ6vlTvhYr6ufNkwGmjuXxvlonFdOmVq3GfO2GtpiDOshl48ICe9HLd8xYIlHAEoapryNxDC8IlpUYULyyn3prP5VE1FU3V0TRlzUxwoWkostKdruX+Z5zNT/k0rs32cIfNJfSGe6iyB6Vtr1oR13hByxqGVj5mxckgmqaJHgmRO3KYlX17MUxnnKymaYRCIcLhMLqu+5NdqbqcOyV0F3kzj6aWBIFVeDCfYk+/k2FUqgITIzWDGulFrdEi1y3e76TuBknutfXxj3/ce8zVlG1ZUm8H65V+94ssLcvi6tWrJJNJYrGYL4QOTprNTz1Bq6S+sLDA2NgYhw8f5syZM6v952UDWdzUphACVVEwk1NYeYdsK3rQq+rnBdPinTtTJFbKDGVKT9dVFVVRKias5cySIK5YZHD8HqG840ldLRSTpTqqIhXykRDhnh4oFCozAIoC8Xjb4iVFgZCmOaM3paAn3INVSsUWis534w4aUSIRx/LVOzEItToDvURQ5YNm2lW4+24QKxWkrndN6N0k6xu+n3JCL8uKVPoggNbGpqrds0sfO4p15DBRnGEdrgDYMAwymYzTNhfSCYVDhPVwc0FmHXijilGwS33o3UAivfp6rYziD+7NMKLYaNWPSYGxNEFkX33jrE5h23ZNbVU72Cib2PWAoij823/7bxkeHubHfuzH+P73v8/k5CQjIyP09vYSj8e3Lqm3czFsBZ/2eshkMly+fJmenh6efPJJ7ty548PZrWIjZ6BLKXnw4AH37t3jqaee4sABp4XFSWkaVf7tzvdnm0Xs5Cy2UVhTn60m9FS2wNu3H68xlFFQ0LWS2Kd0jKJZpGA5BB5eXmHw3oOKVHYloZdubqqCqWmQySIPHoLZGSgbs0o8jmxxhrGLanW7lM5xdFUHHcLSUQgLW1IQoCyvOIppVUfTVEJhvXUPcR8U7r7eYkuaAMWnlrX1UusLy0LWEe21bCrTCRSFhRNHkSN7K/QgiqIQDocdciqVcQzLsa3NZ/MoquJF8aFQqOV7oXs92Er3hO6ikXDOtGxuJnNcqlFOEGYeKz1LaLA7y9s159OlUM6dr97nh9HPJuFv/uZvOHHiBD/2Yz/Gn/zJn/C7v/u77Nq1y/Ns2bKk3g62Kqm7o2APHz7M6dOnSafTW25Gezkakbpt21y9epVUKsXLL7/szT8Xto1dNNYI7BRFAbNAcf4+IV1be8OuIvTHSytcvjdTZyCLRi4nHbMZ6aQFDdsZthGdX6R/crKuL7v7Z6EoFCwT3bKIxuNOdHH0qNenTjgCkTCOHL21G6Iq8XQD3mdhWWXT5qQXgoqQRo9lIUMalm1jGnkKtoUQThq/su951RgFnOxCWXMAwrIQCEKaViqlu10DVeWMdUTbLWtNF/RnmWoIy6xpdgSgqM6mrKM59E0gNY3kmTPkFEms0WZFAU3XiOpRoj1OFG9ZFkbRIJfLOf4bIZ1wyCH4Rr3xUkpMhG+E7sISFjkzRyxcqUOQUpIt2ow+nOf8qbVWsebKAmq0Hy3iX1Tsh1Cumz71rYDf/M3f9Mqdv/qrv8onP/lJpJT8/+z9eXRc+XneiX/uXiuqsIMgCe5Lk2wuzW52s2W1FrfSXsaLMomdZM5Piyc+SSZyjiUf28pEo+Mzk4wnnkSWkzj2xB6vcuZ4PLZ0oiiW7G7JLbWWXrjvOwkSJAiggNqr7vr9/XHrXlQBVagqoLi1/epAaAJVdynce5/v+77P+zymaWJZ1rsH1B9ET321SnVCCK5cucKtW7d4+umnQ8H/R20S0y5aic9UKhVOnDiBoigcPXoUo9Zzdh2/f97sGeKWF1Aqc7juCJrqi6PW9uL/Zw3QBYILt+e4NJVZvhF8hbj5mumLEIKyVfYJcZ5H3+0pYrOzLc8nAHRXlqlUysiewKuNi4Vh6DUwb/LemuCNPwIlauxygSQEChJLPynPcX0/9noLV0nGk+VQZ14CIpqKpyoIT/fnnt2V556DYwg+Z+G5COE1lJObhlQbqqu1aYIFw1otV4WiwgNwrOtpCOFn6KL5vSEr/t/Y7YSV2GXPwlM1Fp7ahZ1IQC7b1fNDkvwsPXhoe66HaZs4tkOlXAGZEOB1XW/YtiME7gNaHZmOiSqr6OrivSKEQJIlrt6bZywdZ8PQ0uxXLI659Yjt/zc9ddFgILNp0yY2bdrU8JrHFtS7uREeVE8duleqC7Tpq9UqR48ebbh4ei0WE2yz1z31+oXM/Pw8J06cWMbWdywLr5khixDY2Xs4pQVfP6ZeJa5OUAb8GfB3rt7j3kJx2XZkWUJX5JAQ53ouRbMYEuLS165jBGNp1HZRT5AX/u6qEtiFAqqmoRsq5Uq54VipLRaC//bw8GqlWKl+28FxscK4WgDAtfBqkq9KK8nXpXPPnsBxHVzXw7JsJHnx96tSL6stQuoKBkuOdynoNwH8pSV/RQXXfcxH1sSKojKy7K8pOz6DLj53VzeY37Mbtzam2u2I6NKQFZmoEoWIvy3HdfwyfbVCsVhEUWsMdU3BfcCCQ2WrjCI1Xq/Bc+KtK3cZTGxbpg8vXBM7exd9oDc8orWCuuu6VKvVJxbUJUniV37lV5ienmZsbIxYLEZfX1/4lUgkHl9Q7yYeVPkdugP1QO41lUpx9OjRZe8LjrOXOvW97qnD4oNocnKSy5cvs3v37tD/fCVDFuG5WJlJXLMcbk94wexsY7m9VLX53uU75MvLZXN9hzVChzXHdai4ZSIiglqpkr56DXWp3G6QxQr/H5IkURECp1DEMCJomuoDpu3g1suCNmxCEJDK6xLj8GcyhKz+duGqCrLrdSX5KskSmqyhaf4+Q/Uyy8b0alm8qoYe2GuOFUBfkmS/lRAyDKUHy3Dv1RpBiNY+6ICi+FOTyxSJWx1TF7epE43VZF/rKj89ZCZKkoSmamiqRowYnuf5bHrTolIuhJ9htVJFN/SeW6KGxLlIMnx+Bd8tx+W7l6f4wNOblhWBnFIGJZbqidrcWnvqxRqH5knuqZ8/f5533nkHSZIolUpUKpWw9G7b9rsH1C2r9Y28muiWWX7nzh0uXLjAtm3b2LJlS1PQrgfNXoF6r3vq4LP1L1++zMzMTIM0b6AQ1yz78OwKZuY2wgn+DlItMRewRFBmLl/izUt3sZp8tosOa/4+TLtKxakgACOXJ3XtBnKLsm/Y2wbKtolXKhMxDGQ8XNvyx87c5SVZsQTVJEmqAfsi4IUZev2pt/gTupqGbNsNv+54XKpu282zeB/ofVqZ1eAk1ssQwvN9xV0X11ZwNQ2lUsKTJCSp1k/vuYDK2k5CeN6KPuiaImPVFoqdjqV1GnYyyfzuXYglC/kHqZQnyRKKoRM3dOIiQaVaoVwqU6lWKBQLqKrfi9eN3o3NucKlYlWIGbFl5jEzuRIX7syxZ+PyGXVr/k6tDL+20vlae+qlki8z/aRm6gD/1//1f+E4tWeB64Zg7jjOuwvUe52pS5LU0XY9z+PChQtMT0+3Fcupz/57tYp+EJn6O++8AzSq3a1kyOKWc1jZu8sEZeTAXa3u+K5NL3Dm1kzThcFyh7Uydo1Z3TeTob9YXFZS9RNJD4RfNncRlE0TybGJRWMNn3OzR9pSQK8Pqdb/VxdfXP/NF5lZEo6iEWvwae/NuNRiFq9hmVb4N/edxPx9KDXCXS8zNIEvYxtwAoQQiHo2QQ3kJXkR7FcdXbcXFt/TCaB3tajqIsx0moWdO/wyQJNjfBAl8WU67pJ//8qKTH9/P0IILNPCsi3y+TzCEz6bXtcwdCNUgVtNmK6J4ih+K2zJ3/vsrTnW9SfoTzTOqAvXqpXhN656v7D28nupVCISiay5L/8owzCMkNfULB5bUH/UPXVov1ioVqucOHECIQQvvvhiW7nXelBvZ63XafQS1Au1HnU0GmX//v2Lx9vCkAXAzt/Hzs9RB3W1bz5dO8jQhRCcunGfGzPZZdvwHdbUENCF8Mt8rueC55G+dQv53j1IJEIQF55XA/NFZHUkKJdKqEhEY/G219BKgB6cibz0BzXpl6XvE4CjqChmCYRWe8j6j/OOAL2LMq0kSUiyhG7o6Oh4nsB1nZA13cwPfDXhy9iqyC3+9v6LBEK41Bc/JFmuAX03IL+KjLbFDPrSqK+SBJPcTXe/is+pMjREbtvW1rKvDyBRb2nMUreAkCQJI2JgRAwQhL140zT9XryihFl8N2NzQVSsCqpYnv17wuO7F6f4W4d8Gdn6cErzKLH0msrwawX1YrFIPN7+2fAkxYULF7hx4waWZfnt4kd9QL2IB5Gpt9vu/Pw8J0+eZHh4mD179nR0oQUl/V47q/Xi3KempkKbwJ07d6IoSvv++fwUbrXA0idi0D+XZF+UxnQc3rx0l0yhvGw7qiyhyDKVkBDnULLKvuyq5ZC+dg0pl6XsODi21ZL8ZAJmvoCmaUQixorZkahLuVvNei8D9Lp3hy+ohSfLfg++VA577rLsm10sXes8iJBlCbmWxdf34sMsXpVDsl2nVrJClhGS5JvhaN09JoTn+dl8UOleFch3Fp7rIFpc/02rJK1AdhWHVVq3jsLmTW1f10sAWclprWVbT6LmCa8SjdXEb6ya+E3BNwTRNM1fJGqdid8I/EmUeonYIPIVk1M3ZjjcZMxtLWX4wLxqrZl6rEfe9Y9DvPHGG/zTf/pPuXv3LplMBsMw3j2g3uuRNmgOmPXe7rt372bDhg2PVChnrT11z/O4dOkSd+/e5dChQxw/fhyo9c9Nq+mMr+dYPiHODgRllgM6+FlDrlTl3NXZELTrI3BYM5s4rEmlEulLV5CrFdwgE2sB6GUhcAoFItEI+lLN9mYRYnpzQK8fwFuMJfT6WniqCo6LVSkjSRJRI4qqSDhuk1S+flNLf9er535dL14XOp7n4XpumMXLsg/wK2Xxvq+7h+x59OJKbQR5vxcffK0lVpxBx79/l1dJRE8+68LEBKX17f3De2mB2072VXR4bpJUq/IYergItCwLy7IoFUvIsuyr29UEclo93xzPodUFcvXeAuMDCdYNNPau11KGD55zawX1RCLxrsjUPc/j537u5zhy5Ai/8iu/wtatW3n99dcfX1B/XMrv9YDpOA5nz55lYWGB5557LhTS7yYeJw/0YPzONE2OHj1KLOb3oB3bxpGaO7Z51SLm/B2E57YVlMmUbM5n7qHqy/s/DQ5rQNWuUnaqeICRmaf/ytVFh7UWl4IHlB0bUakSi8U6nlIQQtTG5ZdvuPnjojmgu5oGVZNqtYqmqv6DUpF91bv6TS996zKqeUeH3X1I1Jzk5DCLD8h2VdMEj7APr6q+Vajv6/4gR9aEP2dfIztKkp/Fd+5i44fXYoIB/AkFSeKBiMqARG7rFiqjI+1f2sMqTac67l2DVW0RGI1GQwlbx3YwLZNyuUw+n0dTF7N4Va0brRTgCAfLsRrm1/1fCd66co8ffGYrutZ4V622DB8849dKlHuShWfqo1QqcfnyZf78z/8cXdcRQjAwMPD4gjoQaoq3iwdZfg8qAKVSiRMnTqDrOi+++OKKRIV22+zlsa4W1AuFAsePHyeZTPLCCy+EgCiDz3BvkvE6xTms3EztAVyfXkosFZS5eGeOyzOl5VrEYtFhTeCLtxXsInatJ5q4fYe+23eW7XvpdeACZbOK5DjE4/G2N3p9FlOulFEVvxxZv+rvBtA9TUNUKphVC93Q0DUNNQD0ZptYPJBmB9f8tSvEqsaf68qwhvBX+q7r4jg2lmkiDB3dsvxMfo0s5U4j4EfYVhVN8/8eK2bxbWbQFdkXBfJaqAJ2ms02DUlmYed2zIGBjl4eWqGuEdU7BfSlbPTVhCRJaLqGpteJ31gmtm1TLpUbJG49z1+8lq0yqqwuuwcrls071+7x4u7lM+p+GX5XV9WaXoB6sVh8opnv9VEul8PndqVSob+/n7t37z7eoN5pPKjye5Cpz8zMcPr0aTZs2MDOnTvXdFE9CFDvdnvT09OcOXOGLVu2sG3btgZDFoXlPX/hedi5ezilbPATGghxgvAh63gex67e4+58ofbKxYeRJEkYukLRsvEAF29RUMZ1SV+9RjQzv7jjEE8bH1S2LFEpFrsmxElIJBIJP1t1HCoVv9SvqgqGqkFTgZclD1MJXFXDK5WxbJtI1EDVVBRJ6tjhK3RZa7L5TrJ4gVh7a7o+i0fDVTVEtYLreVSrvgZA6Dfey/ZAk6i5wCNDYxYvy0iysvjgF6JG2GwOcKos44r21rUSdH1OQlFZ2L0Tq6+v8zc17HB10ZXT2gP4O8mK3JjFOw6WZVGulH2rT0mmJJfwHI/+RP8yzsbkbJ6Ng3k2Djd+bsK1sHP30Ps791oI+ulrKZ2Xy+V3TU9dlmVefPFFTp8+zZEjR9i/fz+f+9zn3j2g/iAydVmWuX//Ptlsln379rFu3drNCXpdfu/m3IUQXL16lZs3b7J//35GR0f9n9cZsshyI6h7noOVmcQz61zTQoZtY7m9bDp879JtcjVBmfpKi6z4JKmi7YDk9+OKZhEhQDYtBi9eQqvNkIZ9yOWcNJ8Ql8ujaxpGG0JcsK16Qly9gAf4eu24XoNMq1LL4uWlpDJJwlVknGIR13WJRqPoqq+/3gnDPThWywLLktB10PS6B3aHWXzDomCtISQ8XfVH1oIsvmYla1kWrudRKpVC+VrfUra3c/FSi7+i8LywZy4t0TpYGg1KfZ3ttOPwNI35p3bjdFu2XeOfqFuntV7275tFvYRtPB6nUCj4Y6Suy3x2nkK+QDKaJBKJYESMsAr2zrV7DPXFiBqNcOMU51Bi/ShGZyDbi1HgJ1kidmmkUik+9alPIUkSsViMT37yk/y9v/f33h2grqrqqnXaW4VlWWSzWTzP44UXXuiZApGiKEhXriCfPInYtg2xffuatifLMvZKI0e1cByH06dPUywWG85nqSGLJC0uOjyrjJm5g3AXBWWglhAsechm8mXeujIVqsCBr6ttCw+15kQWLD5Mx6Js+Ux4rVBk4NIlFKt+trv537BbQlz9yForhrumKKAoaPg9ZzvI4su+TGswGiZpGgKwCr4iVSwaQ1VlXE901CKS8MlzU1NygzFcIiGxYb2HrLBimb6+2tCzkCQ8RVk+slbL4hVVAVciYhi16oaLVXutWiPbrUq+dhXRDtC70QHo5jN0IxHmn9qNG+neG3wt5ffVWKeuVZJ2NaFpGrF4zO+vOw4SEuVymWw2i6qqIcC/fWWKl/YtnxSwF24jj+7s6Ln91133fWnous773ve+8N/vf//7mZ6efrxBvZueOnSv094q8vk8J06cQJZlxsbGeicpOD/P0z//8/S/9Vb4I/dDH8L5gz+Ammpbt9FJ5l8qlTh+/DiRSIQXXngh9CNuZsgiy3727ZaymNm7LNfT9ElI9YIyN2aynL55H8/zH2MeICRwJYGhq1Qd19+OgLJdwXT8TD46O0v62o1FQlyLEICjKkjFYseEuOC6aZW9NH00SBKaqqLVth+ot5VcB6laRRYSsiIRMSLoNQ/0Th6jQWY9NSVTWiJzXyrCnSmZiQlv6ZuWnNAiOIR/71X04sPN1XrmchtTmNpofkMvvhMTmjVFF2XkVYnKdLhtJxZn/qldeKv1714lUc5hlcYsorfjc53sr55W47ehFNJ9aYQnMC0Ts2qSXcjyTiaDKOd4atMYfak+IrVFkmdXcfIzaKnRtrvrFai/W4hyQczPz1MsFpFl+d010gb+SnGtoH737l3OnTvH1q1bsW27p6Vy9aMfJV1TawtC/vrXUT/yEZwvf3lV22zXU5+dneXUqVPL+ACtDFkkwMpOY1Zllj2VggdGAJhCcPrmDNfvL/jkpLqXgs9wr5gOSV0gBBTNoj8GIwTJydskp+62PT9XkihbFqrjEkskGh3WmsQyydc1MNwVRUGKRohVqpiWi6LICASmWaFqSiiyErLHW0UA6LYlNWToi8frW7rbltRYil+6ndpnb5omrucSMZZkjl0AvKcoSJ5AWo2GfN3IHFDrswZylTbItSx+tSY0HRx/EF1L73YRVl8fC7t2LpN97SZWUw53WP0YoUA0nRt/UOFzOxrPzxUuZatM3IiHvXgE2I7NzaxFfyzD5O1JdE0nlUqRSqdIuh5KLIWsrVwNWeuMOvigvn595338xzls2+arX/0qf/RHf0Qmk8G2bWRZfneAuizLaxZh8TyPixcvcu/ePQ4ePMjw8DBXr14NyVRrDenKFZS//MvlP3ddlL/8S9yrV1dVim81py6E4MaNG1y7do29e/cyPj4e/nwlQRm5PIOrJyAyQKv5c/ANHN68cpf7uRJiyXNLliV0VSFje2i6wBUexeoiIa7/8lUiCwttz82WJCqlIgo+272dmUo7hTjocmRN1/BKFSzTwoj4yluKLOE4i7PfwWiYqi4vR9f3vttZE1gWrNhREL6CoUAQi8ZWPTLnaRqS7XQ2stbBS/w+q4qmqeHMs+s8wCy+Fh2V3Jtl/B2ckzkwwMKO7a1V4jqMbsvhNt4yO9/udshDaYWEu2txfpZroTna4pib5Jfp0TRyUoL3HNpFvpAnn8szOXkbyzJJ3rzDwJb9DA4OtlR8+5ueuh+e5yHLMq+//jo/8zM/w6ZNm/jgBz+I53lUq9XHG9QflqhLtVrl5MmTuK4bzmuvdZtLQ7p+feXfX7u2KlBvVn53XTecpz9y5AipVAqojTC1MmRxTKy5SWSniufGaAXokiSRNy3eOH+bomkte4joquI7rFkOkiRhOzaFah4hQKlWGbh4Ga3s99NXymSqgJWvEeIMg0KhsOLrlxLiloZEK4U4/90N/5IkhKLgFkrYjkM0GkHVVH/crzaDHmSrBuC5vkxrUyCrSWW2q+Cu+HsBlWolFLdZdnodjsy5dRruDySWZvENVrK+fG2QwS9VLVs6JLnCLjrT0m+xsXYEw8rwsC/72qsydgebEbX++VprDs0y5wcZK3GYWo25Tc0XmJwrsHk0TTqdZgL/+ZvP5clO3+LGjRuoqsrg4CCDg4P09/eHktq9Kr8/yQ5tsLiYeuutt9i+fTuvvvpqw+8fa1DvJlYLwAsLC5w8eZLBwUH27t3bOLfcQ1AXW7eu/Ptt21a13aWgXqlUQj7A0aNHw3l6z3FwlvTPg3ArBayFKV9QRl6StdZJvsqKzNRCke9evIPTzGFN1zAdJ5wRtlwTWzgkjAR6Ls/Apcu+7Giw6Q4JceEiZKUHddeA3jw7F7KMh4RdLCGERywWRVMVPCFwWsw+y4qErGgh2a6BVCb55WhVVUkkNErF5ZXyeIKWpXfPFVTMCprii9u0jRaZqau2APQHiAH1VrIiULdzfPWyoJSqqH4GL3VwKJIsLS6s2u68++MtjY9T2DTR/RtbRCcz8SvJvna9v4dMlFtpLl4gKNtlEsbyrPj49WnG+uNEdB9+IpEIkUiEUUlBH9tNLp9nfn6eGzducO7cOZLJJIODg1iW1ZNM/UkfaQsWUhs2bGBsbIyFhYXQSRPeRaCuqmpXs+pCiNAvfOfOnUxMTCxbdfZKVx1A7NiB+6EPIX/960h12xSKgvfBD66aBV9/jIEe/ejoKE899VR4A6xoyFKYxc7N1AARJEmptcwlkEGWQK5php+9Ncvpm/dpBoYxQ6ds1mrMAkp2GdO1/HGL+zOkrt9o8BZvFi0V4lZ4MLYjxHUn+aqA62GVS0hIRCNRNFXG6YLhLiSxSCqDBnvEdL+J58YoVxYfTPEEbFjfHKRc16VaMdENbfUGQJKEp6mtM/Q1kO26OwypIYsPTWhcD8/0j82yWlvJKrLPZ3BbLKzWGoVNmyiNr31kdWm08yDoFaDXNvhAR9qaxUpeArZrY9omhtYo1GU5LseuTfOepxpFadS+ERRVZWBggIGBAbZv3061WmV+fp75+Xnm5uYQQnDu3LnwNd2KgJXL5Sc+Uw+e6//gH/wDrl69yv/xf/wf/NRP/ZQ/iRCLPd6g/qDK767rcu7cOTKZTINf+NLotfys8wd/gPV3/g7Jb387/Jn3wQ/67PdVRgDqk5OTXLp0iV27djEx4WcbK/fPPeyFKZxKHlh8GPiZv0BWZWTFn+t2XI83L9zhVguHtaihhYDuCUHJLPmEOAT9k7dJ5wptz2MlhbhmD6peEuKgJvlq1iRflUXJ124Z7suOoQ7IogKiEZtqVWCaAl0TRCIyAmXZ0dq2r9UeiRqrLjkKWUbI8uLIWrv+8kNM9BZNaGrViIrfkllqQqMoKpoq43UgKtNJ+MWeug9Ckshu20p1eHjtG2++sxa/6jGgs3I5/EFEJwp2FbuCpmjLMuzbc3luzxXYOOQDrJZej5ZcblsdiUQYHx9nfHycK1euUK1WiUaj3LlzhwsXLpBIJBgcHGRgYIBUKtU2kw9c2t4NUS6XKZfL/Lt/9+/47d/+bUZHR/E87/EG9W6iU1Avl8ucOHECVVXbyr32MlMHoL+f2//pP+FcuMBTmtaTOXVJkqhWq1y9erVhgbKiIYtr+4YsVqXhppQkCUlRELKHovo3R9m0ef3sLRaKywmDqiKjyHII6I7n1gRlBJLjMHrlGpFcHtrM+AaEuHYKcSL8vlpCXP1WFsPTNES1ilmXFWutJF+bRMdiMDXCkKZBMrk4MmfWeA5KTbbW81wcxyUajaza91rUsl15pepVm158g+rdA83i/e+6oddMaASu57cwHNvGlOomDdYqfFOv9SMrZHdux1zlOGkn0exafhCAHmz3oSbqHVwXAt9GOWkkl732+LVpxtIx4sMTqInlgL40PM8jGo2ydetWtm7dimVZYRZ/9uxZPM+jv78/BPmlVthCiHdFTz3gFvzLf/kv+ZM/+RN+/ud/nqeffppKpYJpmu8uUG9Xfp+dneX06dOMj4+za9eutqu6tTqgtdpmfv16vEOH1rwt0zS5dOkSnufxfd/3feFFvFRQpj48s+Qbsrj24oipJCGpMrKqoKiLd95svsy3zk1Sbeawpqm+w1ptLM5ybUqmrwinlisMXLyEmy/gCdE5IW4VCnFLY2VC3PIXu6qGVy5jmTXJV1VFkTuUfKULQG8SoZuaUQOymgQnQjQsKLsFdk+tjax1M+61BOA9z5cEVRU1/FnT13Yb7YBAWuQoxCIGtlPTp3eduixeQamREaWupWx94BOqyvyuXdh9D+4B3/T+owvZ11XE45apg68eWXWqRJaMrFUsm2MzMh/c0h7QwQczvY5Rqus6Y2NjjI2NIYSgWCySyWS4f/8+ly9fJhqNhgAfi8WIRCKrlon99V//df7P//P/ZHp6mgMHDvDv//2/58iRI01fa9s2v/zLv8zv//7vMzU1xa5du/jX//pf8wM/8AMN5/JLv/RLfOELX2B6eprx8XE+9rGP8ZnPfKa97HXtuvr2t7/NP/pH/4j/+X/+nxt+/1iDeq/K70IIrl27xo0bNxrGu9ayzdVGr2Ric7lcaMgSlKQAXNvGbQLC4LsjWdlpAkEZSZJqZfZa9iMEUk0m9tr0Am9fudv0WGOGRsVyGhzWKnYVACObpf/SFWTXDedtW934FeFhF4pEolH0dj3j2vEhpJ4Q4nzJV6VB8lWruUl1qk7WS7lWWZIwXQdZlogY0VDgxarWFNzUzma/PU1Dcpy2/IWVwvPqyHnNaPkrjMy1jaZEx+W/CEVlpBqIq0ptsRGY0NSsZGuytd1k8Z6mkdmzByf+YAlTS6+NBw3oD7un3k25v2pX0WStrpUkUY0Mc27WYWcmz4bB9pr6K7HfJUkimUySTCbZvHkzjuOwsLBAJpPhe9/7Hh/72Mc4ePAg6XQ67M13eux//Md/zKc+9Sl+8zd/k+eff57Pf/7zvPLKK1y6dImRkeVufZ/5zGf4whe+wG/91m+xe/duvva1r/HhD3+Y73znOxyqJXP/+l//a37jN36D3//932fv3r288847fPzjHyeVSvHP/tk/W/F4gs/g7/ydv0O1Wl22UHmsQb2baNX/tm2b06dPUyqVupZ7fRCg3ottTk1Ncf78ebZv387g4CBvvvlmzZDFwnOa9M+FwM5N4xRrZim1B2Wgx157Ufj6c3cWyLlN+uAC4hGdomkjZA1XVijaJlUMhB4jfneK+I27WHIcZImqZ/rnqi/2sCQh8BCULBtRKZLoG0ZSZBzhIeEhidrXkoefhK8u2AtCnJAVvwRaKBLMfauqjCdES3evZcdS+18vQniCSrWCIisYEb8dpMo1sp1BqK/dMDKnqihKoz69p2vILRZ0nUZbcl6LkblQEnU1maJo/G9NbSEqIzWa0ISTBitYyS4NJxJheutWX9r0QUcdyD5wQIfQUvihRFAt6/DvLRCU7BJ9ch9IEtXoCI6WBARfP32Lf/DSXtQ2FaluxGdUVWV4eJjh4WF27tzJX/zFX/DlL3+Z3/qt3+LDH/4w69at45VXXuEHfuAHePnll1ecXf/c5z7HT//0T/Pxj38cgN/8zd/kK1/5Cr/zO7/Dpz/96WWv/8M//EP+xb/4F/zQD/0QAP/kn/wTXn31Vf7tv/23fOELXwDgO9/5Dj/2Yz/GD//wDwOwefNm/p//5//hrTq10XYxNjbGZz7zGQqFAn/7b/9tksmkz0fqeAuPeTQrvxcKBb773e8CcPTo0a57KY8bqHuex4ULF7h48SIHDx5ky5Ytvu696+JUzeaA7rlYczdxivNIEiiagmZoyEqdj3UN0C3H5Z0bGW7MLQK6J+vYWhI7OoQ8uJkZfZxSajuF+AampThZtY+qliJx8w59t+7gyVrtS8WTFFxkhKSEX7aika3auJZDLDUERgJbjWFpCUytj6qepmIMUNH7MbU+LDWGIxt4sub3jKpVbMdpKG0ulU33oxXDXUW4LmaxBJLkZ+iqjOt2B+i9Ctd1KVcqaKoWAvrSkBUZTdeIRqO+la2m4boelXKFcrmMWTWxJHnNgO44DtWKGQrtNA1pyRewmGtLiwPngsWPv4uPS20F6PURbE+itvAxiEdjRKMRFFnGcXyb0Eql4pvSuC4IsONxZnbvwlulbXK3EfS43YcA6OH+HlKsZhHnei5Vx6QSHa0Buh/ZUpW3r9xr//5Vis/IssyhQ4f4xCc+QS6X48aNG/zGb/wGkUiET3/607yzROWzPizL4tixY7z88ssN23v55ZdDbFkapmmGMrhBRKNR3njjjfDfL774Iq+99hqXL18G4NSpU7zxxhv84A/+YNvzCZ59f/qnf4osy/yn//SfeP/738/zzz/Pnj17Hu9Mvdvyu1Un23Xv3j3Onj3bYC/abSiKghAiVPDpRay2/G5ZFqdOncI0TV544YVFBqcAXA/PdZedo2dXMDO3wXWQ1ZpBRy2WKsTlyyavn7vNdEWmqqaoxNfjKgZICrqqIEsSedsB2R9VyVfyeMJDti1Gz53CyGUXdxzg6ZKP3JIkSvk8miQRTyZX/JsIScaVZIRQQQYlHcN1HSpWFWFVoWpiKBBVFWRVbbKtJgx3XUNUqphVE13zPaO70Q7vNaA7joNZ9dXqOpY3lmjQp3c8DxsQpSJ2HWtcbfqZtA7bskMr2a7Y9pL/fxI0J9sFyeOKPW//RarcoTFLs+20yuIdl6ptUk0myE5M4Ekt2jEPIIQQeIKujVnWsr+HPdLW3e4k5pQkSSW6jMh6/Po0u9YPMJCMNn0nrF18plRzgRweHuYHfuAHwh73SuOqc3NzuK4bOloGMTo6ysWLF5u+55VXXuFzn/scL730Etu2beO1117jz/7szxqSuU9/+tPk83l2794dJnr/6l/9K/6H/+F/aHse9SNt//gf/2PS6TSWZWGa5ruLKKeqKpVKBc/zuHTpElNTUxw4cKBpz6PTqDeK6RWoryZTLxQKYf/8hRdeCAHAdRyEbftQIzwkafGCd8t57NwUsiQh6UtKkXWALusRporwl5dzVNX1lKNxX19c9cuTMV3Dclysmsd11a5SqPqZvFYsMHruJGq12njAtXuk/gFTkSSqCwtEDGMZK7VV1JfbJVlClTVUTYN4EuG6CNumaFmIahVd8tBk33WtGbHM1XVEuRyCqKaqXWmH9xrQVw2idSFkGVlViToOxGKLCm6Ou9hvrpHxVtqHafptklg0uuLccdtY8tZlz8oWvXhZlpAlf4GyYnTDwpcWTWjEwCDlLRPIjodpVhCeIJvLYmgGmq49MKc5V3TvtLamEA+PKNe10I0kUTRGcNQohWqBdCzd8GvX83j7yj1eeaa1SFcvQD0Wiy17lvf6M/u1X/s1fvqnf5rdu3cjSRLbtm3j4x//OL/zO78Tvub//X//X/7oj/6I//yf/zN79+7l5MmT/OzP/izj4+N89KMfXXH7AR/gV3/1V/n1X/919u/f3/D7dw2oK4qCbdu8/fbb2LbNiy++uGbloHpQX7X4x5LoNlOfnp7mzJkzbN68me3bt4cXYGDIEgrMuB5yzXnLzs/gljPIqrzkgpVAklD0KEosjRJLcfzGHG+cv43AqP1aCh++fVGDQnWRRV80i1Qsf7QtNjfD8MVzSCu5fEn+BVj0POxcjng83px41SQa+udL7jlZCN/YxTDAMBAigeM4lG0bYVdRLBtDFv7InaIiNBWvWApBVNNUZKn3DHehqniKgqh9eYoMsoKQJX9mXPI5DOVKBcd1icfjVOsWIFKtFRJ+d2v8AtdF8jwk10N2HSTHDQGuQaEvVHDzM9UGfXrRxC5VQNWsIkQTPfkeRMOl16IXL8vgCf+r/Qa7P4by6Cj5LZvRJCnU1nddF1VXcSyHSt6/nnXdbznout6Th7xDDdAfYuL8UGVig4V7J/uTJIqRERzFX8zbnk3FqhDVFxf3/Yko79mzodUWgLWDejCj3s1nNDQ0hKIo3L9/v+Hn9+/fZ2xsrOl7hoeH+dKXvkS1WiWTyTA+Ps6nP/1pttapiv78z/88n/70p/l7f+/vAfD0009z69YtfvmXf7ktqAfHf/fuXbLZ7LLfv2tA3TRNMpkMY2NjHD58uCcWrJIk9XxWvdNMXQjB1atXuXnzJvv37w/LP0IIHNNEuIta7OD324Xn4hSmEVaxodQOIOtR1FgaJd6PrOo4rsdfnLzOhTtzDa/z7W49+qIG+YoZ7jNfzWM5fnsjNXmD/htXOzhbGUuWUQp5kslkx3+TtoC+5PW+qUgAZjGfOGXbuI6F5JgYNa35SMTAqPmid8pw93QdV9dr3zU8TfP/rWl4moqnqv6cu6IsQbHwbAhOQniCQqGAJzxSfSlKa8mKa1oAsuMg2w6yYyPbNooVfLeQLQvNtDBsu6k+vScEsuQr5/UWfJqUuJt0RxQFXJdFyWHR+rWrOb7ihvUUN25csikf+CJGBIza/eQ62JZNpVqhWCyiqmoI8qvJ4kOntYfIRg8z54eE6Z7wOjs3SaIQGcVVGnvMJauEruoossJgMsqPP7+LeGTlxGmtLm2rGWfTdZ3Dhw/z2muv8eM//uPhcbz22mt84hOfWPG9kUiE9evXY9s2f/qnf8pP/MRPNBzL0opBtyPUH/vYx/i93/s91q1bx8jICLqu+623zk/v4UcnKyohBLdv3+bmzZsYhsH+/ft7ulrtNVmuk0zdcRxOnz5NoVBoYOw3M2TxLwwJz7Vwy9PgmuH5S7KCEu9HTQyg6IsXc7Fi8eW3LjOdXe4FqsoyuiqHgO56LrlKDtdzwXMZvnSe+Mx02/N0JChbFrJt0deB0lMQwbktA3QhUOngmVVj9mPoqE6USrFAWYqgSS7YVSzLRJHVRctUWcaJRHAjEZxoBCdi4BoGnhHBMfQ1O3WFgO4KcoUciqyQTqa7GKZvtVkJoWm4mobbrpvheSimGX5RLGPNz6NZFmqlSqlSDvXp1yzu0mqEcEmoqozrCTzPxbSskCMATd6+iuPJb9lMuVkmtXStIUloqoamasSI4bkelm1h2zaVcgVk0DUdTdfQtfZZfL3T2kNlo9fiYWbqbeepJZliZGQZoPtvFxTNIttG1vHjL+wkZrSvhK61DbqaTB3gU5/6FB/96Ed59tlnOXLkCJ///OcplUohG/4jH/kI69ev55d/+ZcBePPNN5mamuLgwYNMTU3xS7/0S3iexy/8wi+E2/yRH/kR/tW/+ldMTEywd+9eTpw4wec+9zl+6qd+qqNj8jyPY8eO8V/+y3/hzTff5Nlnn2VgYIBIJPJ4gzoEmWPzh4Trupw/f57Z2Vm2b9/O3bt3e35R9xrUg+21mpMslUocP36cSCTC0aNHw3J1K0MWSZaRsLDnb6LW2NOyHkFNDqPG+pGW3ATTC0W+/NZlitXlXqARTcFUFKqWf762Y5Or5ny1M9Nk9NxJ9EK+7Tlakkwpn0MRfjrWyY24TCVuNYBeC1fVEGaVSqmMqqo+w11XKekRiqqKJXs4soWtaciJBJqh+2XXWubcc0Kc7ZAv5DF0wyc4PuQHPbKMG43iRqP+saga0bExorGaWFGpiMgXoFhAKZaJ2jYR20avcRk6j84AXau5rDmuS7Vqout143MtyvQNu1jxECSy27dTHRps+ut2qmuyIhNRfIMR3yveFwSqVCoUC0VUTfVBfkkW3yuntScl2pX6fUAf9cm2LSIRhQ8eHO0I0APC8lp76quxXf3Jn/xJZmdn+exnP8v09DQHDx7kq1/9alg9nZycbHjGVatVPvOZz3D9+nUSiQQ/9EM/xB/+4R+STqfD1/z7f//v+V/+l/+F/+l/+p+YmZlhfHycf/SP/hGf/exnOzom27ZJJBL8w3/4D5mbm+P27dtcunQJy7Ief1BvFeVymZMnTyLLMi+++CLlcpnJycme7+dBlN+heSlpdnaWU6dOsWHDBnbu3FlnyGLh2o29a0mSkDUNrzKPWpnFdYZQosNofcMokeajexduz/HqyetNCUkJQ6di29iehxCCilWhaPqZvF7IMXr2FIpltj2/KhKVhQwRIxKSF9vFSuV2qVZu7xRaHFXDtUyyKLB5K+rQMNWBNAXVaMy6PQFWAVGep1opUiz6LQtDN9A13c/2VzlyXf8227Ip5AtE49EHUObuLoJjicVjRKKL2ZOcSEAiAaxDuIJ5q4pt21AooVtV4pZD1LKIVU1ku5UxfGeArtfkd4N5+GXM/w768Mt2G/xKVljYtQOr7uHZ7P2dLvwb2jr4egGmbYZZvCRLPsAbGkJd3n5ZSUmx1/GwHdpW+hyFpNQy9NaAPpA0eP/+EXJmhkE3haasDOzBM3itoL5a3fdPfOITLcvtf/VXf9Xw7/e9732cP39+xe0lk0k+//nP8/nPf35Vx2MYRjjzvjSeSFCfm5vj1KlTrFu3jt27dyPLcsjg7XX02tQlAOp6UBdCcPPmTa5evdqgeNfKkEXWVGRVxV64g1NaQI70oQ5vIzLS3GVKCMEb52/zztW7TX/fFzUoVMwaIEmU7BKG6d+Q8fv3GLp8HmmFloGiSKiyhCkJ5GyW9SMp4tEYlm1SkEyG+6O146idk/DdtlzXw3b8L9ejo/55s7Bjccy+FJVEiryiMO8KUgNpn82typTsJn8/WYJIHyLSh+paRM08VHNYpkWunAsf2LpRm9nu8Nlc/7JKpUKlVCHRl+iYIPigIjiWZF8STW/9AJUUf3Y/Go1Csg/LsslZJnO2jfAEBhC3LRKmhV4qoRWLNdfBzgG9nVlNWClpP6UY/szTVBZ278ZOdpCJrRJnZUUmqviLsyCLN02LhUIe23XD60XX/V7xQwXabohrvdhdi9aCkBQKkVE8pfX1PtRn8L79o+iqjOu5zBRmWJ9ev+L+gpblowL1xzXu3r3LtWvXkCSJVCrF6Ojo4w/q9eV3IQTXr1/n+vXr7Nmzh/XrFy+EXoNvEA8qUw8Y9a7rcvbsWRYWFjhy5AipVAqgqSGLpMgoug7CxZq5hqQZRNftRrqZgxY3kWk7fPXYNa7fX1h+bkjEI3rYP/eER97MY7r+v/tvXCU1eQMAXVOIGQoR3f8yNAVD8/vvkiIxl81RzmYZ27vBJyEBlYrKDCU2jS5/0AoEomZpKkkSnhBYjodlu1RtD8t0MC0H0/Iw60FZAjPRh5nqx0ylMPvSPlHNg0I+T9WsMjA0QKzWD682A/Ql4So6XmwYKZLGsPMk7DK2Y2GbNsVSEeEKVN0vuxq6gaS0eXAK/wFimiZ9qT5U7RHeZsKvalWr1e6PRQLd0NCNGpvedbFsi5ylkNE0lFQfuqoTcx1ilQp6sYCezyOb1tLNoAaAXhvla2VWs2LrowXIu7pO5qnduNFowxxdKzMVuQeaW5IkoWoqQlPQiIb2upZpUSqWauJOUqh18aDB9mHPqDfbn5AUCtExPLn1onE4FeF9T4+gqYt/g1w1R5/Z55u+tAi3psOxls9xteX3xzXefvtt/rf/7X/j2LFj5PN5PM9j9+7djz+oB1FPHnv++efp62vUCg6Yg72+gXpt6hJcmJ7nUalUOHHiBLIsc/To0dAxbqkhiyRJyLqGoqq4Zgm3lEUf3IhcM0hoRb5bKFb48luXyRSWl8A1RUZVFApVH8Ad1yFfzeN4Drpw2XPnIoOVeeITKWKGiq7ITR+1jgTT9+8jLIsN69ejqnU3tMSyYWW/dy7CrF2S/JK7LEn+gkGT6XM9iC9ux00kKKUHyMb6mNMSlKoexZomOsLP+HPZLJ7nMTg4SNTQfEOSDhdjoeyrrFIxBqhqKSJ2jphW9slTjl92tSyLUqnkl+mDGWdVXVYyLhQKuJ5LOp1etctaT0JAsVDEdm3SqTSyuoZjqREQo6qfxQsPTNvEsWzmXYd5XUMfG0Ob2EjU9TCKBfRcnkg+j+o42K6HZVo4rtNyHr5rLoMETjTK/FNP4dZXH0TwbWWAX0sIBFbd9hVFCSscQghs26ZULGGZFhkz4xPtdH9R+CCuiYdNylv6nPUklWJ0dEVAH0lHeOnpEbQm5z+dnyY+FEeWmn82AUnub0Ddj5s3b/JzP/dzuK7LH/zBH7BhwwYWFhb4vd/7vScD1IvFIsePHycWizWQx+qjPgPuxThb/Xbbub+tZpvz8/NcvnyZkZER9uzZs9g/X2LIImsqiqb5CwHHQpJk9IHGUlWzasKtmSz/7Z2rVO3lxx7VNRzXoxLsR3JJJmy2b+wnZimUv/Ittg4Ow6DPmG/1sLUQ3Lt9B0PVGBlfv4wQJ0uNCu4CPzOnbrGylBCH44Guw9gI0tgIjI6gRQzSQBrYXHtp1XLI5E3uzha5eOMukiQzODhILKJi2h5eB6XPVhruQlaoGAOYWh+GnUejVAdm/gPbsix/xlkQllxVRSVfzCNLMqm+1NqEXNYY9eNz6VS6x8ciIcmCSE0nAOEvum3L9glljotqGEQ2ridqbEMqV3Hu3kXPZel33KatnNWQE+1kgvmndiNUdfEyqpEawtJ38C0AvR5UxNvpuEuShK7rmJqJYRgYhoFl+1l8sVhEVVQ0XcPQDVStO+W/VvFQZ9RpJBx2Auhj/VHeu2+4pb677dqUrTIJoznornVGHd4doB6om545c4bp6WmOHTvWIH/+wgsvPP6gfu/ePU6fPr1MfGVpBH9wx3F6Duq9tl8FOH/+PLt372ZiYgJgmSGLJMsouoasKHiOn7XLWnPiydJjPH7tHt86N9kU2JIRnZJpk4wabF83QirpIaslZFlCzM5R/ub3qBSKMDgcvqfZw7bkOcxM3qavr4+BgYHmpT9JQtRURYJye13zr/G1qT4YGUYaG4OBdNsHlKGppCMmGfs+H9g/THpglJlclXvzFUy7PaGvExDxapm7qSaJ2DlUt0aOMvzeqRC+qp9t2ZTLZb9EKEsYUQPhiUcG6sIT5PK18bm+dO9n0JdmhRKomoqqqUTxFz6ua2NVLeaKCz7gDPYTn9iArWroxQJGNoexkEUr+1WkbgHd7E+zsHOHP+y+5PCgLjMXiwAvPIHjOWFJPHxLF2DYlTFLbYHRUOEQAtuyMS2TfCGP8IQ/E18D+bVk8Q9bIlaWZDxZpRAZQ8itn7nrBqJ8397WgA6wrm9dS0CHtc+ogw/qQ0Od2bw+7pHL5dB1vSlH4LEH9XK53CC+0ipkWe55/xt6O9LmeR7nz5/HcZxGQK/vn0ugaBqKpiE8Dzs/g6xHWzLaYbH87noer526wbnJ2eUvErBuIMGGoT52jg8ylIpyN3uXXLUISHjXbuK9fQIse8VsxkOQr1ZYuHefoeEhkonWxxU8ZJb2z/0fS0gjg7BhHMZGkfTOTTaEECzMzzN5+zbr169neNhfgCRiGlvXJbEdl3sLVaYyZWYWqssWN91mhZ6iUVaGUN0qESuL7PkVDqkGZgLfZS0S8fvEtm1TKVWQFTlkR2tq52S7tYTruOTzeXRNJ57obnyuvcZLLdVts01DU3BVGUXRsBzH7z8rKuVymVKNn6CNDBPZsBHNttAXFjAWFjDy+Y6k5arDQ2S3be1MQ0Cq8XI8QaHkyxuHxjlLs3hWBvjVOK0t3Z4kLS4KgwqHZVuYVXNR+KZGuOtKv/8hSsSCv0ByOwD08cEY37d3GGWFBe66vnX0x/pX3N/fZOp+BH/j7du3o2kav/RLv8Q/+2f/DFmWSSQSHDt27PEH9e3bt3cMqo+bq1p9mKbJiRMn8DyPWCwWrrDq++eyoqDoGpIs45RzOMU59P71Ye+8VciyTLFq8f99+wJ35xstU3VVYcf4AHs2DrF+sA9JkrBdm5uZm1Tsij//eeIM4qKvECevoAvgAXO5HJVslnXj60JCXKuQZF+dLsjQJUVGGh1G2rgeNqxDMgyE4/ol9w5DCMH0vWlmZmfYunULfX2pZa/RVIWJ4TgTw3Esx+VupsLkTIlMwVzTDLqjRChERtHtElEnB8LDrJqUiiXiiXgIFtFoFIQ/S2qZFoVCwS/TByImdTPxvQzbro3PBez1LnfREaC3CUNVsF0Px3bJ5XMNi4u4iC+OhVm+k5qiKuh9fWhDg+hIGNkskfkFjGy2xqpvjPK6MfJbNnd1XkHlQpb9tkh4KvVleljM6us+iOAh6tK9jntb9ntdhSMWiyGEwDItLNsin8sjEBi6EV4zK+k9POyeuiMp5PQhUisA+oahGC/uWRnQx1PjpKPptvvrhf9GqVTq2qnzcYvgenz++ef5yEc+wr/5N/+G733ve2zdupVsNsurr776+IN6N/Gg+t+2vTZLy1wux4kTJ+jv72ffvn28+eabfmZtO7i1uV/F0FFUFc+1MWdvgRAYQ5uR5Par02zF4bUr19Gii6vQob4YB7aMsmv9IEYd47liV5icn8TxHIRl4337TcS9mfD3kiSHfeb6cl5AiMOyWL+UENck/Pf7z84ZXGK7dpJ4agdyNBhvEwjbAbezB6XveCW4fesWpVKZXbt2LbM3bBa6qrB5NMHm0QSlqsuN+wUm75cwm9jUtj8G/7lp675drLtwF1EqkUwll3sDSPgucLpGXMR9kxXbWiZFGkg7rvWBbJompULj4qInIai1Str/naKaP21g2w75fH754kICWZWJqTFEVIAHlmM1LnyMCNqmCfStW4gU8kQz8xjzC0iuS3HjBoobV9YHX3b4riCbz6Kpmp+l1R0LNJbp/W/Le/Gu5AN6t5lwt4tHSZIwIob/90vQIHxTKBR8m9kayC+t/DxM21VX1snqfSC1fjZtHI5z9KmhloAuITGeGicVXb4ob7rPHmTqq5GJfdxCCBHyxj75yU9y+PBh/uiP/oipqSkikQj/7t/9u8cf1Lu5kR7EWJuiKFSXupB1EXfv3uXcuXNs376dzZs3+2MusoxdNXEtqyE7t4sZ7IW7qMlBtNS6js798lSGr1+8j6JoDEQltq3r59DWMTYM9S17bbaS5W72rg/Z+QLuN78LeV9gxh/1qSOuCRH2vS0E9ybvYGjNCXFLQyCgL4myaQNDH3wP2arJ/WwW++xZUqkU/ek0qXgSTelQCx5/Jvj69esA7Nq9q2vehCRJxCMK+zaleWpjiruZMtfvFZkvtu+/Q/3HIYGAXL6A5RgMje5A8QrgtRJlodZSUYhqUaIxv+dsWRa2Za9pJt4/MKhUazPozRYXa42OAV2hYrstBW7CzdVVSioViXLZIBYzGOj3/8a2XdNgd1x/ymD9erSJCSKWjZPsbsbYczy/WhD0Hlf6XCX/K/SEr2XxYYa+QhbfMsQa+tz1WXw8Fl4zlmVRzpWRkMJFoa7rD2VsDnxAL0ZH8awCcov9bRqJ88JTQy1/3y2gQ2966sVi8YnO1AOSXP2z76WXXuKll15qeN1jD+rdxONUfvc8j8uXL3Pnzh0OHjwY9n2FEMhC4Dr2YnbuWJhzt/HMEvrABGo83Xb7Qgi+e/EOb16eQpIkdoz18SPvPUA60Tx7nSnMMFv0e+1iegb322+CWceyx2eqBzdiAGIl12Hm9m1SfSn6B/pXfkgZOtLmjTCxAfpTSEgMyDIDteMtl8vMz2fITM9wu3yTaDRKOpUmlUq1VFsTAsxqlWvXrhNPxJiY2NRVGS5kuNeVQhVZYuNwnI3DcRYKFtfuFZjKlFsy5uvWN3iex8LCAkIIBocGkRSZooii20Uido5OAFCS6zIy4cvxWqYVzsQHGb6hGyuX6QWUiiVM2ySVTi0z8VlTBKchtTkfAVHdB/SgFdFKbCf4W9g2nDktMze3eG5DQ4L9+1WiMXXZwqdSqZCXQC8Ivx+t6m21851W1YJOImR1g4eELKQ6RXc67sX3kpFef80kRRLbsf0WRqVMvpAPNfsd21k+ZtmjcBWDQmQU37q5+Vz85tEEz+8eXBHQ16fX0xdZnnSsuO81lt+FEE+0+IwQAlmW+eIXv8ixY8cYHx8nmUySTCZJJBIkk0n6+vro7+9/94H6gyi/dwvqlmVx6tQpqtUqR48eXeyf1wxZ5Jo1p6KqOKUFrPk7ICsYo9sbjFdabt9x+eqxa0zO5nhm2zrim2Iko0ZTQPeEx52FOxRMv9fuXbqKd+LMMkJS+K+ghyg8clWT7L3pBkKcJEmosuKbosgKiqJibNhIdPdujI0TyLKC8ASqoi67CT3XxRkz8YSHaZrMZmaZy8wxc3MGRVHo608STyaIJWI4noPj+Q/mmzdvMjIywrqxdV09rFbyDQiiP6nzbHKQp6p9XLtX5NZ0CafmNY+oNSFq+3Qcl4X5BVRNIZ2uY+hLEpaexFGjRK0FFLeLyo5EKEVa33M2TR8gW87E183D96f62wvidBsdbi6iy1Qs11esq7SuFtRn6GdOy2QyjTvIZCROn5Z55nDNfbDJwieYMig4Bf8z0zUMrcYYr9ucbdsUcjVp3mg7t5vm0aDjLrE4Py1ASHWLxCYAD51de6uOumsmFo/heZ4/E29bZLNZv/Kj62H1pydWskqEYmQE6j6HpQvOLWMJnt812HJ/qwV06F35/UnO1AGOHz/O7/7u7xKPxykWi1QqFSzLQpblmsKh+fiDejcX5OOQqRcKBY4fP04ymeTo0aNhqcRzHFzLRtY0FF3HdWzMuVs4pQUUI44+vBm5jf4xQK5U5SvvXGV8IMHHXz5APKJz8eLFpsdouRaT85OYjonwPLx3TiGu3gh/36ywKtVmy+fyOZxCma0TW0jGk2iKb2Ch1PpocjxOZNcuIjt3oiQSYa/H87wmPu7g2g6ebSFJoEgysWiUTRsm2LRhwhePyWXJZObJ3Msw78yT7u8HBLnZHAd3HSSZTmI6JpZrdfSwlCUZT3ROwItHNPZv6WfXhj6u3C1w/W4Bpy5Dty2bhfkFotEoyb5kU9DzZJVSZBjNLhK1sk0+3TZR6znXz8Rbdi1bzVdAIjQTqVQrvjTkI5qHlyUJVZGoWp6vnmeZpFLNqwUNJfeS1JChByEEzM1JVEoS0bhYuoFFECOGcAXVmj59pVRBUhbbF57rA1w8GQ/FnLqNFY1ZaiX6+l58w3XWRPjmQYcsy6FSYCKZ8HvxphVm8ZqqNWgpdJvFLwN0lluvbluX5LmdAw8E0KF37PcntacefK6/+Iu/yM/8zM+EfAtVVfE8jzt37vC9732P3//933/8Qb2beBA99W7G5O7fv990pt61LDzPQ40YSLKM7Fk4s9M42hhqYhB9YENHi5c7c3muTS/w3z23g77Y4gMrWKXVR8kqcXv+Nq5wEaaJ9603ETOL3unNWOCaoqKqERJGioRtsOWp3Y2WmIC2YQPR3bvRN21q8HIPvpqpPvnz960rKIoiMzAwwMDAANu3b6dQKHD16lWKxSKGrFOaLxGRIgwPDhOJRjBtk4pToWJVqNiVZeDdLaDXh6Ep7J1Is2M8yeWpAjfuFShVKuQWciT6Eh2V72wtgaNEiVnz3WXtS0KSpVC8JBh/CkafwAe6qlntrUpZ+7k2FFlCkSQs26NYKOK4TstqwdLrrGZt3zLKZYi2+Ygb9OnrpwzyBYQQqKrqEzFXoRXQtdNaiyzecRxcxw3H6brqxa8i6tUnw8oPtcqPtThtIMty2NrRdK3tsThKlGJkuAHQ/R0unseO8SSHd6wM6Bv6N6woA9suPM9bk/5IUH5/0jP1RCLRMJZXKBRCMP/KV77iJ5KP8Ph6Ho8qUxdCcPXqVW7evMnTTz/NWM3HOTBkkWQZrcbUtvMzyPkpXEVBH9iAluxMDGG+UCFqqLxv36amx1gvPrNQXuBe7p7fS87lfUJcoeQfU40QJxC+NKsWwVANdNXAkWRuXb2KLmQ2btgQArqk60R27CCyZw9qapHcIoQIM3RgGaAH5y+8zv4mQoDjuty6dQvXdXnuueeQZZlMJsP8/Dy3bt3CMIxwATCeHkeSJCpWhZJdomgWcRxn1YAefD5IPrg/vSlNn1rh2MUi/QNp9C4yPyErlCLD6Fah4177ilH7WE3LJBqJEolElo+G1UbmVjcTX6vbtHmfJvtywabtUij4IJpKNa8WNFs4tkuUuk6kalm84zgg/Ide0N5ZsX3RJOy15te1LN6xHXK5HPF4vNE8p0kW3zOAb7EYkxW5Qb7WsR1My6RUKuHknUUTGm35FIatRCk1A3QIiXk71/dxeMdAy8PqBaCDn6mvxRTJNE0cx3niQT2Iqakpvv71r/Mnf/InvPHGGxw9epRvfOMbHDx48PEH9W7L7w+7p16vSf/CCy+EF43wvFq5XfV76J6LOXcLt5JHUlToG+8I0PNlE0WWGEi27g0G4jNCCKbz08yX5wHw7tzD++7bUCcVq8oqEdUgokXRVT28hwu2zZ1rlxkcGCAzPw+ShNLXR3TvXoydO5GX9EkDMA8yhKX980BQhw4BVgjfh/jcuXMYhsHBgwfRaiXF8fF1jI+vw3U9stksmUyGy5cv4zgO/f39DA4OMjAwwHBiCNt1KJgFitUiFbu97WvDMdT+L+iH3rl9h3wuyytHd+FKGudu5Zhe6G6blp7EVQyi1nwoWrOaaLBwrfWJgzI9nt9zNk2zcSbe0NA0HbltttoZw9131fK5Bcvmvhu2ViNbNtlmNC4YGhJkMlKDLYAkweCgWF56bxcCyqUyVavaQBZs2r6AUL1N1xq1AtYM6LWwLItcNkcikQj96oPjbJAk7lL4pl10YugiSVJIwgTCLN6yaiY0suz34g0dIinKkZHF/lOT/e0Yj68I6LIksyG9YUWluE5jreX3cq1E9KQS5YK4ffs2r7/+Ol/+8pc5d+4cR44c4a233mL79u3hax57UO8mVFXFNDsbUeo0VpKJLZVKnDhxAsMwGjTpPcfF81yUGknFsyqYszfxHBNZj6ANb8NqI7jiuB7nJmcZScVYN7Dy6lKWZRzX4db8LUqWn5F75y/hnToXJl9RPUpEixJRG7NND5gvFpm5fZv14+OkUikyQhB96SX6n366OatXiBXL7YGgTjOguH5dYnJSYtMmwZYtorY9v4x07tw5hoaG2LZtW1MgUhSZwcEBBgcHEMIfUclkMkxNTXH58mX6+vpCgO/v78fxfIAvVAtU7ZXL4It+7hKu63Lz5k0sy2LXrl3h3/XoU8Pcz1Y5ezNLvrzCCNuScBWdYmSEqJVFc0odvy+IarVKuVhubeEqL87EB2V62/ZZ44V8YdFMZCmprIsZdEOVsV0Rispo2pK571qsBOhB7N/vcXoJ+31wULB/f5cVlto1YDs1w5olLYhm7YtQn75QRNV8rQA0FWUVvealYZkWuVyOZF9yuYaC5INqMDLXQLarnUvXI3N1sRrxmaZZvGmSKblkKy56eZ5IJIIRMZaVvicGFfZvaT2SJksyG9MbiRu9AdG1gnqxWESSpCe2px5URn72Z3+WL37xi2zdupVf+IVf4Ed+5EewbZubN28Sj8eJRCLvLlB/mOX3wNN9fHycXbt21RmyOL58aO3h67PbbyM8DzWWRh+cQCnfwLNaP9xvz+Y4eeM+L+2dIBVvL7DieA63c7eJWlGE6+K9dRxx4zaaohHXY0T1aNNVvJAk7s3MUJyfZ8vmzaR27ya2fz/ehQsoG5r3+RsIcc0AvUYIXAoUCwvwqU8ZfPObiw/el17y+NVfNTHNGa5cucLmzZtZv359q+SgISQJkskEyWSCzZs3Ua2azM/PMz+f4ebNm2GZfnBwkI3pjdieTa6SI1/N49a1A0RtXi34fGzb4tq166iKyo4dO5Y9zEbTEYb3j3LjfpELkzlst0MgkmQqxgCObBC1s51VMARUyhUq1Urntql1883BaFjQU62UKiEzWtN9wp3UAaBHNAXT9rBt2x8Ti/jz9s0AvZN8V9XgmcMelZJEueyX3FeToYdueJ0Y1kjL9emrlknRrGIVCmGWahid9ZqXRrVapZAvkEql/Ey3zbEsJdutNYv322lr0I2vZfEiliaqD6G5LqZpUq1WfR8BRSFiRIhEIhzaMYxUzLccMes1oMPaQT0YZ1urKt2jjtOnTzM+Ps5TTz3Ff/7P/5nf/u3fRlXV8EvTtMcf1B8X9nuwUhJCcPPmTa5evdrg6S6EwHMcZEVBkv05Tjt7Fzvvz4Zr6TH01NiKx1m1HL557ham7fK3Dm1tUIJrFUWzyFRxymeFVyp433qTaL5CLDGEvgKb3pUkJicn8RyH3X/rb5F+7jnUdBoA+dKlptWJ9oQ4G89pXmL+1KcMvv3txhvqjTck/vE/9vjEJ67w1FNPMTjYupTXLiIRo6FMv7CwwPz8PBcvXsTzvLBMP9E/QdWtkqvkKNml2gPWj0qlwrVr10j2JZnYONHy2pNliW3rkqwfjHL2Zo7bc51n37YWx1UMYubcyuX4IAu1u7dNrW+vSrJEJOI/jMOZ+KrvFoYnwiy+lXRtVFOo2i5WmzGx1cjvRuOiLSmu6fl5gnwhD7B69r8soUQMUhEjtEo1TZNCsYDneuHnEjGa+77XR6XsqwSm0qnV9X17lMWv1dDFUhOUI35LUJX9BVA8EfcXhqZJ1azSrxVxskWEEGSz2XAhFIQsyUz0TxDrYDS3m1ir+EyxWCQejz9UffxeRnDcv/Ebv0EulyOXy2GafuukWq2GX5ZlPf6g3k08qJ46EILc2bNnmZ+f58iRI6RqpDHheQjPQ64ZMDT0z2UZfXATamyxVNWMUX9teoGvn7rB3k3DfOhgZ2z4ueIcMwVf4lXJFYm/foyoo6K00VI2heDm9evEd+5k74c/jJ5qLKPJtUVJEB0R4iwL0WJBdf261JCh+++R8Dx4++04/f3PMDi4unniZqEoMkNDgwwNDSLEDgqFAplMhtu3b3Pp0iXfWW5wkJHUCBYWhWqBbD7Ljes3GB0dZWx0rKNSZkRXeXbnIBMjcU5dX1j0eG8TnqyuXI73IF/I+7ap6Q6y0CXR8tUSaKqGlqxJ17q+dG21WqVYLPqkMt3wSVOqslxUJplomoWuRU+/26h3oEsmm48Wtt0GNBizBFapuu6brLiu6/eaA6vUOklfXdMb9lkulymVSqTT6UZS3Gqj2chcJ8I3orsEaGlYWoKy0ZzjI8kSkWiE5/eu46mNfVQqFc6fP08hX+D+/ftEIhFSqRQD6QGe2vhUzwEd1i4+826QiAV4+eWX277miQD1ToUcHpRMLPjlm7NnzyLLMi+++GK4OhU1gpoczqNbmLPX8awqsmpgDG9G1qPLthksEkzb4a/O3OLK3Xn+1qGt7Fw/2PaYhBDczd0lW8miyipDWQv1xHUSW7a0fcgVXJdbpsmGv//32b5vX9MHQUC8C/ZVT4iTJKkR0DsgxE1ONskq6pTKZmfj0N0gUcchSdDXl6SvL8mWLZupVKp+mT6T4eaNG0SjEVRNYyYzw6aJTaT7013vYyQd4YMHRrl4J8/Vu4WOvNwXy/F6w0x7vflIOpluq5zWdUiL3xssQeulays5dFWiJOsIfJORTkRlHnS01HHvZhuwstNa7XOJqTHfZKVGtjNNk3w+jxC+yYqu6ziOQ7VapT/d31lrZDXRYmQuPBlqVUKxeL92C+6mlqRirPzcObRtgN0b/RnzABy3bd+GqqrkcjkK+QL5u3mO3T0Wtr0GBwdXrRWwNHrRU3+SM/Vu4okA9U7jQZTfg9Xh22+/zejoKHv27Al/5nkekiQt9tPNEubsTYRro0QSviFLE33z4DjvzOX52olrCAE/8X17GEm3r0U6nsPt+dtYrsVY3xj6hevMHTvLQrsKhaKwkEpxS9N4+rnnwrG7VuccsOlXS4irj4mJGmDR/Dm8adPDE+qIRKKMj4+zfv04tu1w6dIl5ufnSUfSWHMWOTOHFJWIxWNdzcUqiszeTWnGB2IcvzbfMZHO1hJ4skbMzCBse0US2krRfrx8ZUJcoOAWjUZQFYlSxR97cmvGN5VKBddxfena2jz6wwR0z/HI5rMYutFex73VNqBrp7WlZDvbsbEsX9I3mJ02LROBePD2ui2EbwJiZHCM3YzMmVofFWPlttfh7QPs3LAoGhM8GyRJQlEUhgaHOLz9MBEtEpJX7927x6VLl4jH4yHA9/X1rTrb7kVP/Um3Xe003nWg3uvy++3btwGYmJgIBWWEEFC7qIObxqnkseZuIjwPLTmM1j++wg0lcWYqx5szFxgfSPDDz+0gHmnfi6vaVe5k75CKphgwUpS++S2qN24sK5c3hCxj7NjBTcMgUypx5JlnwrZBqwjaA6shxDWLrVsF732vy3e+I+O6i9tRFHjPe7yQBf+gQwgprBC4rseVK1col8s8++yzRKNR8vk88/PzzM3NMnlnEgxI9CVIpVIdZxz9SZ337x/l0p08V6byHWXtrmKwoAzgZK6TjEQejG1qB+xoWZZQZV9UxqyaCCHo7+8HAaZdG30qdTf73YtYk457LVYD6Mui1r6oVHw1v/7+ft99z7LIlrNhGd8wjGUjcw8kJHAd15+Jj/nM55Xka5few1UtRdXoX2HzEs/uHGD7eOP0Tf0YqyzJbBrYRFTzq5GBHvnmzZuxbTvUmDhz5gxCiIYsvhv+wVp76k+y7nu38USA+qMov3uex4ULF7h//z6qqjIyMtII6HUrTruYwcrcBknCGJxATbRe+ebLJv/t5C3O383xwy/t5ANPb0btQA2sUC1QsStsHtyMVK6S/8p/w5nzFeKafj6ShLF1K+q+fZy5fh3PdTl69GhHdqWSJGHVVPCaEuJsG68LO1oh4NOfnuQXf7GPs2cXy3zveY/Pfn9YEQC6ZdmcP38eIQQHDx5Er/VCU6k+Uqm+sEw/l5nj1vQtLl64iG7o9PX1kUql2pbxFFliz0SK0f4Ix6/Mt+21V6tVcgs5kgObUNUqOG1k17qKzkRl1Nr1bFke+WIez/MaWOX1ZfpAY7p+9lsP2PQ9BrJAx72V61sn4eL7oa85BOTzeV9Br7/fV2fTNP+4BFi2FS58ck4uFHYxdKMn9rpLw7Zssrks8Xg8LImvJF9bD/BVPY3ZBtCf2zXAtnXLx2mD1pyu6g2AvjQ0TWNsbIyxsTGEEBQKBebm5rhz5w4XLlwgmUwyODjI0NAQyWSy5T0VVAz/BtQ7iycC1DuNXpXfTdPk5MmTuDUgfOuttxr7ynWAbuWmsbPTSIqGMbwZZYUxjhv3s3zt+DWy+QpPr0vy8oEtHfV4qnYVQzVIRpLY9++Te/VVvMqiCIq0JFPXJyaIP/ssFU3jrWPHSKfTPP30021vioAQ19fXx5UrV7h79y7Dw8MMDw/T1+eX31zLRridV0M8T3Djxg3m5+/ze7/3FNlslVu3GufUH2QEH0vwMVcqFc6ePUssFmf37t0oLRZU0WiEjRs2sHHDBqqWyc17N5m8Pxnav/al+kj1pUgmk4tlein8P5BgMBXh/YfGOH09y437xcVjqttPqVikUCjQ39+PEYlQJEFEytVU6Baj2VWy1pJ7ELoi44o6URlJJt2XbtrPD2RGG2bia25hbsFd0Wil27BMi2KhuCYddxdBL5b5QghyuZy/2Emnl5eRpcXFDdTIdmadsItSNzKndT8ytzRaitzUHU9DL75uZK6ipqmqKXD99mHAvl98q8SR3YNsHWtervY8b1mG3i4kSaKvr4++vj62bt2KZVlkMhkymQwnT55EkqRQY2JwcLCBv1FP0F1t/E35/QmNgIAWZJiriVwux4kTJ+jv72ffvn0oihKW9ZfeiNb8FHZhFlmPYgxvQVabl5M8T/C9y3d489IUEU3lR5/bzr0bF9ve2LZrI0syEc3PUKpXrlB44w1YsnCRJMnv7w0PE3/uOfTxcWZmZjh17Bhbtmxh27Zt7edc6/rnW7duZdOmTWQyGWZnZzl+/DiyJDHUP8DgwADpdLolGC5uD1zP4+KFC1QqZQ4ePEgsFqW//+GAeXAMsAjouVyec+fOMTo6ytatW9vPw0sSIBGNxtizbS/bN+9ktjDLvfl7LGSz3JmZpjp5k75kkvRAvw/MS8BHB57dO8LIcJy3Ls0tig4J/1orV8oMDg2h6DpBPm8baaqKRqw6t+IcuUQD741gqEmqicp0MoMeisrUAF1TNBLJ5v38ZT30pbPfbm0mvs5oxdAMX9muy35ztVKlXCqvySO+ax33FuF5Hrmcv8jqT/d3VI1QFIVYrEa2EwLbqo3M5Qt4nhcarBiG0fWzKgD0ZDLZWfWibmSuovVj6X1IQiz23z1CeWRFkjmye6AloPubkxiNjRLVVz+xous669atY926dXieRz6fJ5PJMDk5yYULF0IhqXqAXytR7m9A/TGKTle1Qca02vGHu3fvcu7cObZv387mzZvD/dazwcEHQGv+Nk5xHjXejz6wsSF7r4+q5fDnx65ycybLYDLKjxzZiYbLnaut8wdPeOQqOaJaFE3TfDOCt96icuZM8/NOJrGefpr0j/4oANevX+fatWsNOvQrRb2gTED8k2U5LJ25jsP8zCxzc3NcvXoVy7LCuW+/N7ZUQtavdpw7dw5VVTl48FAo+fqwYimgz8zMcvnyZbZs2cL69eO1V0k++NVaDJJc+7dU970uouhMROMMpoaZzk9TdfzZ0Gw2S3Yhy+TkJJFIhP7+fvrT/Q1kt4mROANJne+cn2M2V2FhfgHbthkeHm5KyLPVOMWoSqJ6H6nFZIFgaR5eg1yJBkCXGr6k8L8DURnHdsgVckT0CLF4bBn4dqISByAp/uhTUI4OjFaKhSLCE4sSrS1m4oOTCmxcOxbcaRK9BPRsNosiK/Sl+laVYUuS5IO44Y/MOa4TzhcXCgVUVQ0Z9Zq28uInUK3r6+vzbWm7iIo+gKn3+X//pWV6X4OJI7v62TgUwbbtsPVW/yxVZZWRvhEKWqHrz6FVyLJMOp0mnU6zbds2X9WulsXfunUr3P/c3BwDAwOrMnZ5N9iudhpPBKh3GsFKznXdrlb3QgguXbrEnTt3OHjwIMPDw8u2G5SAhBCYczdxyzn0/nG0vpGW253Ll/nyW5fJlqpsHe3nlcPbiGgqlUqlgUFaHyWrRLacZSQ5gqZoeLZN4RvfwJqcXLZ9SdOIHTyIsnMn3uuv4zgOFy5cIJPJNMzRtzv3lQlxLp5lk06nSKdTbNu2jVKpFDJcr1y50rCqjkYjFIolzp87R39/Pzt27OhAe7y3EUCPVOOH3blzh1uTk+zZt5eh4REkWaqB+OqqOXEjztahrcyX55mVZ4lEIoyNjeE4vpFHNpvl0uVLAKTTafr7+0mlUiSiGu/fP8R/+9ZZ5lyX4eHhFYVNXMWgEF1HonIfWbRveYja/y3FnUbw9/8rqisULB9cCrk8iXicaLQ5oK+K4S4tStfGRdwnlNkWlWpl2ex32G8WtLVx7SR6Deiqovrtp15cxhKh+lcs5nuhW5bfiw+qAUEWr+t6A6Capkk+l+9MtW5JlI1BLK0JqNXK9LIk8eKeITYMxfBcD4EIE5kgSdIUjY3pjZhl84EqsxmGwfj4OOPj43iex/T0NJcuXeLGjRucO3eOVCoVPm86HVMrlUqsW7fugR3z4xTvKlAPVpXd9NVt2+bkyZNUq1WOHj3alEwRqsp5HubcTTyzRGRkK0q0tTfwtekFvnrsKpbj8tyOcV7cvTEEt3pBm3Ah4rncL9xHCMG61DpkScbN58n95V/iLiws235k505izz6LEouFjP933nkHoGNCXDtAb0aIkyRIJOIkEnE2bZrANK0aw9WXZ1UVBdtxWLduHVu3bn3ogA4SsiIjSTICweUrV5ibm+Pw80dCXkBP9iJJDMYH6Yv0MZ2fJl/No6pq+LARQlAsFllYWODOnTtcvXqVRCJBtVpl97oYz+zbwVuXMm09ADxZoxBbR6Iyg+K1JhXWL2RWDAFRQ6Fi+aIy+XyeZDKJHo00CrIASg1p68v8qwoJFE0hqkVD6dpwJr6c86VrNR3X8ycumum4dxq9MmZxXZdsNoumafQlewToTUKW5UbFP9sfmSuXy+TzeTRNC0fVSqXSKgF9CEtrXXqWJYnv2zfChqFYeEzQqFGhSArr+9ajoGBZVli9fNCyq7Is+253msbzzz9PpVJhfn6eTCbDjRs30DQtvOf6+/tbZvF/nYhyT7YQbpPoZqytUCjw3e9+F1mWWwJ6sE3XdTDnbiAci8jYjpaALoTg2NV7fPnNy3ie4AcPb+f79kw0gFv9nDtAySxxfe46mqKxPr0eWZKx7t5l4b/8l2WAro6MkP6xHyP50ksoNcZrqeSrkhmGwZEjR9oCetA/dxzHF85pohDnmFZHDHfD0BkfX8eePfuYmJjAcV1SqRSzs7O8+eabXLx4idnZORynt/oBfkhIsoKsqii6jhqJoMWiqIaBkCVOnz1LPp/n+eef7ymg14emaGzs38hE/wRanSyvJEkkk0kmJibYv38/O3bsoFwqI0kS+UKe3P0bPD0GUVW05bIJSaEQHcVWmvcwQ0Dv4HgjNUAPQCOVSrXoy0o4CBwENgKr9t3tQRYczMQn+hIMDA6QSCR8NzXbRni+73W1UvV9yLuIngG645Jd8GfiHySgL4tadSOeiDMwMMDQ0BCRSMRX/Cv5hiSm6SvddTINBBKlNoCuyBIvPb0I6A3vliS/ohCJsWN0B8mYz1C/d+8ekUgEx/ErPY7jhMnBg4j6GfVoNMr69evZv38/733ve9m9ezeyLHP16lW+9a1vceLECSYnJymVSg2f0WqJcr/+67/O5s2biUQiPP/887z11lstX2vbNv/r//q/sm3bNiKRCAcOHOCrX/1qw2uCtu7Sr3/6T/9p18fWKp6ITL2bPlanY23379/n9OnTbN68OZw/bxWyLGHP3YT4ZiJjO5Dk5mVB1/P4+umbnL01QyKi8yNHdjLWv/xCCi5Q27HJVDIslBfYkN5AMuKXxyoXLlD87neh7iaRo1HiR44Q2bGj6XkA7Nq1qyOGe0CIA5YrxHXpgQ7+4uTq1WtkMhkOHDhAX18SURv/yWT8DP7ChQv09/eH7NZIl/1AP2r9b0X2vzepLoA/Iha45z333HOr6sF1G8lIkpgeY6YwE1rfBpHNZrl29RrrN6xn3dg6HNfx+/DZLOPGApdzHnlLIxqJYkSM5teiJFOKjBAzM+hOPZN+MZteKSRJQlclqqZLqVSiUqmQ7k93pRInoMYkX/ydXHu9/737EEJQrpSRFb+vKjyBaZuh53enM/G9AnTH9v820ViUeGx1Ije9ikB/wnVd0jVfhs716SVKkSFstXV2qsoy7316hHUDrQlvmqKxeWAzuqrjeR4XL17EsiwOHTq0TKQKFqulS3vxa4lWwjOKooRZOvh986AXf/36dXRd59VXX2Xv3r1UKpWuM/U//uM/5lOf+hS/+Zu/yfPPP8/nP/95XnnlFS5dusTIyPK262c+8xm+8IUv8Fu/9Vvs3r2br33ta3z4wx/mO9/5DocOHQJ8EbN6fDp79iwf+tCH+Lt/9+92dWwrhSQ6W/I90nBdt+Ps+4033mDXrl3L+uJBCCG4du0aN27c6IhIJjyPs9/9C7Rogl2H3tMS/E3b4b+94xPi1vUn+O+e20ki2rpM9l///L+yed9mDMNgY/9GIloE4XkUv/tdqhcuLL5Qkog89RTxZ59FrhNrEMIfFQsIcWfOnOHo0aMrrkYfhAe67dhcvHAR27bZu3dvS7AulyvhDZfP50OlqaGhoVpfrNm7OgPx+igUCpw4cYKhoaFwFf+wo2SWmMpNYbs2c7Nz3Lh5gy1btjA0tFxbO5jfPXbxHievL+A6LrqhE41EiUQjTR9mUXMew84j6IzhXi8qky/ksS3bn2Bo0rNeq0pcNyDfTse93g/dsnyFvsDvW1d1kDuQfe0ims19P8po0JWvX3wt0ae3bGuJPr1BKTqMrbY+B1WWeWn/CGP9KwP6lsEtaIqG67qcPn0ay7J45plnGo4nAPYgW6+HlIB0u5b78P79+9y5c4fDhw93/B7XdVlYWOAzn/kMr732GvPz8+zbt4//8X/8H/nBH/xBtm7d2nYbzz//PM899xz/4T/8B8A/z40bN/IzP/MzfPrTn172+vHxcf7Fv/gXDVn3f//f//dEo1G+8IUvNN3Hz/7sz/Jf/+t/5cqVKz2TsH0iMvVuYqVZdcdxOH36NIVCgRdeeKEtG1J4HmbmFmp8AGG0FkcoViy+9OYlZnMlnto4zMsHtqwoKLNQXmDWmmWL2MKWoS2osopnmuS//nXsqanwderwMIn3vAdtCRi4rsu5c+eYn58PS8vnzp1bsfzVlhDXoeTr4vZ8lvK5c2eJRqMcOHAAtRmx6foNpMlJYps2EduymY0bN2BZdtgXu3PnTtgXGxgYIN3v62hLsuKDeRcX+tzcHKdPn2bLli0N0wsPO+JGnK2DW3nn/DvcvHWTXbt2tSz/B/O7HzjSx65tZb556h75YplypUw25+ucRyI+ozwwE6kYA3iSRNTKNd1mfaiyjCSBabvkc77tbP9Af9OHbC9kX2sK5OFsuAzINZCvj0503Fv5oZfLZQpOAUVVQVcxDGNN405QN/edTDR1oXuoIaBULlEpV5rrykut9elz+QI5VUW2qkQiEIksz+JVReb9+0cZSbdu0+mKzubBzSGgnzp1CsdxlgE6LCYH9Z4W9QAfJGSrzeJXM82kKApDQ0P85m/+Jq7r8txzz/Hss8/yxS9+kU9+8pNs3bqVX/mVX+FHaxNDS8OyLI4dO8Y//+f/vOE8X375Zb773e82fY9pmstan9FolDfeeKPlPr7whS/wqU99qqfPqicC1LstvzfL6svlMsePH8cwDI4ePdpWolAIgZW9i5YaRc36ClrNYqFY4c++e5FC2eKlvZt4ZttYy+N1PZd7uXvkqjn69D7Gk+OosoqTzZL/i7/Azft2kpKuE3/uOSK7dy/blmmanDhxAiEEL7zwQngRrUQQ7MwDvTOtcn97ErlclvPnzzMyMlKbg1/6wWTRP/VJ5G9+a3E/L70X61c/j55OMTY2ytjYKK7rkSvkyczPc+naVVzPY3BwkOHhYYaGhjqeYrh9+zaXL19m7969HY3xPcjwPI/Lly5jLVh86OiHKLgFHK99pWl8MMYPPb+R18/MUKgk8DzPt1SsVJmbm0OSJD+Dj0QQkTSgELXmW27PF5URWLZLLpsDiebCKfQG0JuFB3i17QaEO+G4FPL5liN0TWPJTLzjur4XulVzUlPURdb4Eie1dhGwypN9yY4Ipg80aoS4SrVCf39/RxMAweJHNyLIxghCKGEffmFhAU3XQjJePBrh/ftHGV4FoB86dKjt/RhcW/W8ofqv+mdUp1n8WnXfZVmmWCzy0Y9+lPe85z0UCgVee+01tm/f3vI9c3NzuK7L6Ohow89HR0e5ePFi0/e88sorfO5zn+Oll15i27ZtvPbaa/zZn/1Zy+fyl770JbLZLB/72MdWfW7N4okA9W6iWaY+NzfHqVOnGB8fZ9euXW0vIiEETmEOLTWKrGgts//7C0W++L1LeELwYy/sYstouuU2q3aV2wu3sV2bdX3rmIvN+QuH27fJf+MbiBqoGlu2ED96NCTB1Uc+n+f48eMNwjhBLJ2lD86jnSmLa1l4XejlCyExff8eV69cZdu2bYyPNx8T0T/1SeRvf6fhZ/K3v4P+yZ/F+t3fQ1IUZEVGVRRGkwlGx8fDUvTs7Cy3bt3i3LlzpNPpUNWuWUlUCBGq3z3zzDO+VvkjDMdxOHPmDNVqNSQt2q7N3dxdimax7fv74jp/65l1fOvcDDPZaihgQm32v1qtks1l8eY9DMMgpUUZkErLrmldk3EcX1Qmm/PHspJ9zatND8uYReBL9GZzWeKxOHosiid1z9b1AE+RF8VdPN8PvWpWG53UjOVjYUujWvFnxVfDKu95CF8kxTRN+tOdAfriWyVK0REcJYqO36bo6+vDc73QaztbzrBpQqcw76J4aX9scAlYGqrBpoFNIaAHyprPPPPMqrgp9aBdX6YPnk2dZPFrBXVoZL8nk0l+/Md/fE3baxa/9mu/xk//9E+zu5aMbdu2jY9//OP8zu/8TtPX/9//9//ND/7gDzI+Pt7096uNdzWoCyG4efMmV69eZc+ePaxfv76jbXhWGTU5FD4Am4H67bk8/+XNS8QjOj96ZCcDydYlu2wly93sXSRJYtPAJuJGHEVRqJw9i3vlCgiBHI+TePFFjE2bmm4jIMRt3bq1pobW+HCuL30F515PiOvWA73p5yIEt27e5O7du+zdu5eBgRYAev1GQ4YOfuIkV6toX/0qYuoOLCH8QaOU5LZt26hUKszNzTE7O8uVK1eIxWKMjIyEsrWe53Hu3Dny+TzPPffcIx9ZCeSFFUXh2WefDbMaTdHYNLCJueIcM8WZtsxlQ1f4wIEx3rw4x81AXlYCI2JgRAxSIoXjOFSqFRaqHrmKSz85jJrOeCKmY9r+AzObzaLrekvv8YfptLZU2nRpFi8j0e7R3cyYRZIbxV0CJ7WlY2FLNdjL5TKlYolUOtWVucgDCeHzQSzLIt2f7grEhCRTjIzgKsuzb1mRicVj9KeSvG//CLpkkc1mwzHLvmRfKPzSl+hbBuie560a0JcdS12ZHggz9+BZ1SqLX6vuuxCia/b70NAQiqJw//79hp/fv3+/ZSVweHiYL33pS1SrVTKZDOPj43z6059u2r+/desWr776Kn/2Z3/W3cl0EE8EqHdTfg8AOOg7ZzIZnnvuuZA92i6EEMv025eC+o37Wf7rW5fZMNTHDx7eTkRv/jEKIbhfuE+mlEFXfPMDXdURnodSy+b0ZJLI7t3EjxxpIMLVb+P69etcv36d/fv3LysHBbGSB3ovCHGe63Lx0iVKpRIHDx4kHm9NwpFqQjkSINs2sm0hOU6IKfL163hNQH1pRKNRNm7cyMaNG0PHp0C2NrgmNE3j8OHDj7wPWiqVOHHiBKlUir179zbNDocSQ8T0GHeyd7DdlccFFVnixT3DJKIqZ29mG39ZK0UnNd8Ry3MH8YoZnOI9HDNLLiehaiqWaRGLxZpalXaqEterqFarFPKFlkpoPrPe78X7AO+DfP1hd2TMIvnXhKZpxONxPM9r1GCXfQ12gcCsmi0nAB5qCHwCo2235Du0fKskU4yM4iqtp0kMTeGDB0bpTxpAhL6+PiYmJhbVELNZ7k3dY2NqI+6Iy8DAALdu3QLg0KFDD2x6pFUW8+thEwAAppZJREFUX1+uB39ULJDCXg3hLhD76kZRTtd1Dh8+zGuvvRZm9Z7n8dprr/GJT3xixfdGIhHWr1+Pbdv86Z/+KT/xEz+x7DW/+7u/y8jICD/8wz/c1bl0Ek8EqHcTiuL3k958881w/rybPlmzBUQ9qF+5m+HPj13jwJZR3rtk/rw+XM/l9sJtSlaJhJFgQ3oDiqzgVSrkX3sN5c4dmJgg9UM/hN6i/OK6LmfPnmVhYaHtrHXQU38QhDjLsjh37hyyLDe4mrUKafNm1EoZ2babG5Fs29bRvuuj3vGpUChw/PhxVFXF8zy+853vNPThV2v+sdrIZrOcPHmS9evXtx2PjOkxtg5t5W72LgWzvdTm/i39xA2Vty9nWtq4yoqMnBqmr78PKTdNqVykVCohSzLlchnHdRp0xh9mdg5QKfsqcp1mxMHonFsb1ZNrY3urUTqQZTm0bA002Iulou/lgES5XF61BntPoonzW8dv7QDQI5rCBw6O0Z9Y/rkHSoibN2xmQ3oD+WyemZkZTp8+jRCCoaEhpqenw3n5BxmtsvhAbCZQbFwN2a5c9l0Pu63kfepTn+KjH/0ozz77LEeOHOHzn/88pVKJj3/84wB85CMfYf369fzyL/8yAG+++SZTU1McPHiQqakpfumXfgnP8/iFX/iFhu16nsfv/u7v8tGPfvSBLJjedaBu2zbT09OMj4+zZ8+entyoAahfupPhL09e5/sPbGHvRPOROQDLsbg1fwvLtRiMDzKaHEWSJJxMhtxf/iVesYi0bRvaBz7QEtBN0+T48eOArxDXDqiCTD0A9rV6oIMP6MWSL/maSqXYuXNna4U4SUZWFWRFQdrzFLzvffCNbzSYzwhFwfvABxArEFTaxcLCAqdOnQoBFPwseXZ2lqmpqdAMIujDdyojudqYmZnh7Nmz7Nixg40bN3b0HlVWmRiYYLY4y0xhpu3rt40niegK3z43i9NkwkECooZKzgTbi0FplnQqja7r4ehT0DvWVK1GqtJRlQfshV5jcZfLZX8sq81isMUmemObil+dME0T4QkGB/zZZtMyGzXYjZoGe5cGNKsKAbl8LpxD7xbQC5ExPKX1IimqK3zw4BipeOvXRNQImwY3ocoq/f393Lx5k3Q6zY4dO5ifn+fevXtcvHiReDweLppTqdQDnyyRZRnbtjl79iypVIrNmzevSLYL/rtZFIvFcHHXTfzkT/4ks7OzfPazn2V6epqDBw/y1a9+NayWTk5ONuyzWq3ymc98huvXr5NIJPihH/oh/vAP/3BZlfjVV19lcnKSn/qpn+rqeDqNJ2JOHWjJPq+P27dvc/78eZLJJEePHu3ZhTc3N8dX3zhGJTrMDz+3g/GB1mWckllicmESIQTjqXHSsbR//DdvUvirv0KKRkm+9BJn791jcHCQTU166CsR4lrFO++8Q19fH5s2bUJRlLV7oAOZuQwXL15k48aNTExMNJkll3zCWw3MG2JhAeNjH0N59dXFY3j5Zczf+z1YJZnt3r17nD9/nl27drFhw4amrzFNk7m5OWZmZpifn8cwjBDgu31wtovbt29z5coV9u3b11SMopMomkWmslMdsePnclVePz2DWafOJyNh6DIV0yVfyFMsFlmXitIv8iyze/FEWIo2TTMsRRuR3tiBNu4MCsXCqkhfDyRqJW7HdvzrYMmYV6jBblqYlumL9dSEXR6ET3xbK9cVwpMUitExPLn1Iimqq3z/wVH6VgD0qBZlYmDCn8BxnLD6deDAgYZnTmCTOjc3RyaTAQg1JrqZUOkmLMvinXfeIZlMsm/fvoZrMwD2oGQfWmK3yOLPnj3LK6+8QjabfTTVmIcc7wpQ9zyPCxcuMD09zbp166hUKl0JFbSLN89d58+/fYKf+//9dySjrTPmgBCnyAob+zcS02syridOUD5+nMiuXcSffx5Z0zh58mToLVwf09PTnDlzhm3btrFlS3u/9YBkcvPmTW7cuIEsyyGZbGBgAEmSuvZAF0Jw9+5dbty4yc6dOxkZWVKVkGQUTUVqsnhYGtLVq0jXriG2bVt1hh4I7dy8eZP9+/c3FXFpFq7rhn34ubk5PM8LAX5wcHDVpS8hBFevXg1LbZ3yNVqF5VjcXrhN1am2fW2uZPGNU/cpmw6KLKEpMlXL1ymvVqsMDQ2haiqaXSRuzoXvW1pyF8JnjJtVH+Q9zwuzVN1YmTHeNup7xOn+Veu49yqEEOTz+c4zYgGWbYUgH7QvWqu3dX88uWwOIQSpdKrngB4zVL7/4BjJ2Aqgr0XZNLAJRVawbZsTJ040BfSmx57LhfdUoEcfAHwikeiJV/yxY8eIx+Ps27dvxc9n6chcM+Gbt99+m4985CNMTU09Mu2KhxlPDKhbVnO944BxHAgjzM/PMzU1xZEjR3qy34t35jh/8x7xyn1e+dDLLV83W5hlpjhDRI2wcWAjuqIjHIfCN7+JPT1N8r3vRa8rz545c4ZoNBqWkDslxNXHUkIc+OXp2dlZZmdnsS2LwXQ/gwMDDAwMdGR/6rqC69evMTc3x549e0ilgj6+n5Urmrpqd7PVRLBgy2QyHDp0aNX2ifUPo9nZWcrlMgMDAyHId9ozDBj3uVyOQ4cO9Yxx7wmPqewU+Wq+7WuLFZtvnpmhbDqYtuvbuDo2Q4NDDRmxbheImZn2PfTADtS0qJpVHMfxy/QRH+S7KdMLIUKRm15XRlYTawHQIFxnuXpbp1apy47HE2RzWSQkv4zdRQXAk1SK0dEVAT0e8QE9Ee0c0I8fP46u6+zfv79rlnm16msoBFm8rushwA8MDHS9vW4AfWnUS9bWZ/Ff/vKX+cVf/EWmp6f/BtQfp2gG6rlcjhMnTpBOp3n66adRFIXp6Wlu3LjB0aNH17zPq3fnyZVNdo0l+fa3v80rr7yy7DVCCO7l77FQXqAv0hcasrilEvlXX0WOx0l+3/chLwGN8+fPoygKu3btaiDEPfPMMx2Zj9SPgbQixGUz82RqN1zQ1xwcHGBgwLdIbdyePwp06eIlqtUq+/bt818jSciqiqyqD/2GsG2b06dPY9s2Bw8e7ClZp1wuhwCfzWZJJBIhwCeTzee5bdvm1KlTuK7LwYMHHwghb6Yww2xxtu3rKqbDayfucW3yHgi/HNosg4xYBSJWpqtj8DwvLENbpu/IpRs+mWwlYRfP80L70FRqdQDay/A8j1w2hyR1D6ArbdO27dBYBXyrVEP39enbZZVBCbjbvrQnqRSiYwi59cI8EdH44MHRrgD92LFjGIbBgQMH1vz3CqRZA5A3TZP+/n6GhoYYHh5u29MOjicajfL000+v+Xg8z2N2dpaXX34ZRVG4dOnSXwtQf2KJcnfv3uXcuXPLytQrycR2E1OZAqoic3j7OqrVagii9RdafXY1khhhOOmXqe2ZGQqvv07swAEiO3c23X5AbAvMRyRJ6ogQBysrxElXriCuXcPbOEFyy2aSiTibN2+iUqkyP59hbi7DtWvXG7TXY7E4plnl7NmzRCIRXzlK12tg/mh6oZVKhZMnT2IYBs8++2zPWaKxWIxNmzaxadOmsGcYiN6oqhoC/MDAALIsh3+n4PNZqxhGqxhJjmCoBndzd/FWGDlUJI/xyALzcQ0l2hwgJCSqehKBR9Rabt/bKmRZJhL1pWkDxrhpmhTyhZZl+gCwFFmhL9X3yB+eD+p4ZFlukK4NrFJL5RJO3kHX9BDk62fiw+NRFFJ9qa6y+04APRnV+P6DY8QirV8T02NM9E+gyL596vHjx4lEIuzfv79nhOIgSxdChAvnmZkZLl++TCwWC3+/tIrTa0AHP+n723/7b7Nv3z7+5E/+5JFfkw8rnphM3bbtsKRy+fJlbt++zYEDB5YZtwTs6Pe///2r3le+bPrlungk3Pdrr73Gyy+/HIJLMLJWtsqsT68nFU0BUL12jerFiyTf+16UFTLuK1euUCgUyOfzDAwMsHfv3o6Aor5/1ADo8/MYH/84fPNbOLWMNpBlJZ1q2IZtO8zPzzM3N8fCwgKKLOO4Lv39/ezZuxc9GnmoJfalkc/nOXHiBCMjIx0pAPYyPM9rbGHYNqlUinw+z/DwcM8mKtpF2Spze+F2UwJdtVLl4sWL9KX62LBxE6+fmWE2t9iPbzaDHjEXiNjtteJXjJr+ummZmKbpl+lrM+Fm1UTTH6z3eKfheR7ZhSyqpj7U4/E8L+QoWJaFrMh+Bq9plEolVFX1q3BdHI8raxQjoysCel9M44MHx4gZKwP6poFNvq1zrcQdi8V6BqDtwrbt8JkT8FuCpCKVSnHmzJmeLjByuRw/+qM/yvDwMF/84hcf+pjro4wnCtRN0+TUqVNUKhWeeeaZpv3MfD7P22+/zfd///evaj9CCDwhUOozcs/jL/7iL/jABz6AYRg4nsPk/CSO67BxYCNRzS8rld55ByEE8cOH24LiyZMnuX//Pjt27OiYEBdk6LDcMlX/sR9DfO97ePW2sIqC954XsX73d1tsc1HyNdGXpGKaeEL0hEy22pidneXMmTNs3bqVTZs2PdLVtRCCqakpLl26hKqq2LbdVra2l2E5FpMLk5jOIkm0WCxy6dIlRkdG/QkACWzH45tn7nM/6wN7qx561Mxg2O1n4zsNz/OolCuUyiXAz9RCedYu9dd7Fa7re6GvpKL3MCKocFRNX6IVCFXtOiUiurJGMTqGkFov9lMxnQ8eHCW6AqDH9TgTAxOPDNCXRkBcDNQig3HCjRs3MjIy0rL91WkUCgU+/OEPE4/H+fKXv/zo9fwfcjwx5fdCoRASKI4ePdoSbNZafpckCWXJBRVkxK7rYrs2t+ZvoUgKW4Z8W0LPtim99RbG5s3obaRoA+vXmZmZpuz3Vu9ZSSGOy5cR3/0e3tJM33V9udYbN2HL5oZfeUIwOXmLO3fvsu/QQUZGRhrIZNeuXePs2bMNZLIHvdoNRsT27t3bEVHwQcf09DSXLl3iqaeeYnx8nGq1GmbwgWxt8Nk8iNldXfWNNYKKUDab5eqVq2zYuKFBqlJTZd63f5RvnZnl3kK5JSmuYgwiCxfNKffk+FzHpVwpk4j7zmbBwrtb/fVeheu4LGQXiEQiJOLNnd8eVkiS5C8ECzaRSIRYNIZlWVQqFfKFfFu9AFfWKUZHVwT0dFzngwfHiOitX9MM0FdDQutlBByHeDxOJpNhYGCA0dFRMpkMx44dQ5blsEzfbWJRKpX4u3/376LrOl/60pf+2gE6PEGgfvXqVdatW9dWsSvQQF+tpOBK2zUtk6niFDE9xnhq3Af6QoHK+fPEDx9eRoZbGq7rcubMGbLZLJs3byafb890bmfIIjwP7+q1FUv30q1biBqoC+FzAS5fvUoun+fZI0dCRrkkSaEO9I4dO0JRl7t37/rl3pqoy8jISE911oOWyr1793jmmWfWPCLWi+MJRgQPHDgQjtBFIpFQttZxnLAPf/LkSSRJCglBg4ODPeu5q7LKpoFNHL90nCtXrrB161YGBweXvU5TFd779DDfPDPD9EKl5fZKxjAJMYPqtn5NJ2GZFrncoo47EOqvJ0VyZf31B8DTsG2bXDa3aIDziFsAruOPGeqGTjKRDKV9Y/FYSES0LMtX/gv0AgyfbOcpEQrRUZBaP78GEgYfODCKsQKgJ4wEG/s3Iksypmly7NgxkslkSxnjhxnN5uI3bNgQcg/m5ua4du0aZ86cCcl2Pv8n1vL5X6lU+Mmf/Ek8z+MrX/nKI/eCeFTxRJXfV/ILD8JxHF599VW+//u/v6eiCH/52l8yuHmQidEJhhL+Q96+fx8nmyW6a1fb99cT4g4dOsTc3Fzb0buOJV+vXyfyoQ+13verr/qZuiTheIIzZ8+AJHHgwIGOs2/TNMMsdX5+nkgkEs7DryVLDZj/xWKRQ4cOPfCSdrsQQnDp0iXu37/PoUOHOppECB5EwedjmmbPKhzBAuPmzZuMbR3D05ffA7Ikh6Q6x/V4/cwM91cAdoRHsjKN4nVut1sf7XTcl8bSXrOiKCHRrhdlesvyFxjxePyRXz+wWDGIRqJNdfcbIpiJr00bmEKlGh/HiMaIRCNNF4cDyRqga90Bel9fH3v37n3khDHHcThx4kQoO73SArhcLod9+IWFBQzDCBfP9bK61WqVv//3/z65XI6vfe1rpFKpltt8t8cTA+qO43RUVhdC8LWvfY33v//9PSu9WK7FF//iixw9eJSJdRP+z27fRjIMtA6UxHK5HMePH2dwcDAse7UbvWtJiKuFazt49uJDWf/4x32r0/rPKOyp/x6yplGuVjh16lR4c682m6zPUgOf73q2eKfbDTQGZFnmwIEDj9wpK6iklMtlDh06tCqTmMARKgD4fD6/atnaoIIxPT0dLjCWjrzVA3oQjuvxV6fvM5NtLWYjCZdk+R6y6FyUCNbubFbfaw7GVEM2/SrK9EHFIJlMEok++lJrLucyc79EOq0xPBztasHiyAZZdZCqaVGtVjEtE01d9ELXdZ2hlMH794+irwDoSSPJxv6NSJJEtVrl2LFjodHQowZ013U5fvx4R4De7L3z8/Phc+f111/n29/+Ni+//DLf+973uH//Pq+++uojt19+1PHElN87vRgDiUCnC4/wlcJ2be7l7jEaHyWiREIPdG1kpG25HRYV4rZv387mzZvD82jmfw7LCXGdeqBbv/p59E/+bIPlqffiizj/4T+gRiPMz89z+vRpNm7cyLZt29Z0c6uqyujoKKOjow1Z6qVLlzBNM1xJDw0NtXzwF4vFUGPgcSgHWpYVltGfe+65VVd5JEkikUiQSCTYsmVLKFs7OzvL9evXO5at9TyPs2fPhrayQQY6khxBkRWm89NNAR1AVWTe9/Qo3zh1n7l8c2AXkkIxOkqycg+pE7e+Hui4g//5LLNJNRfL9A0jYW3K9GbV79/3pfoeObvZsuCddyTmZnXAv+ZHRgSHD3toHax9HCVCMTKCKskkdJ1EMhFWOCrVCplMhlRMZtOGIYqFXFMvdFgO6O+8844/1bJnz2MB6EG1sltAB78FGtw7QggGBgYolUr8wR/8AdevX2ffvn3823/7b/nhH/5hjhw58sDGTh/3eGIyddd1Owbqr3/96xw+fHjNJRjbtZkrzjGcHObtN99m0/g4w4aBOjraEVv92rVrYV92qTZ4JpPh3LlzvPTSSw3vqSfELWW4CyFwTQvhrVCxuHET+dYtpK1bkXbtRJIkbt++zeXLl0PC14MKIQTFYjGcTS0WiyFbfGRkJMx85+fnOXXqVE8WGL2IcrnMiRMnSCQSHWvtrybqM43Z2Vk8z2tYAAWEIMdxOHXqFLZt88wzzzRdGGXLWe7m767ozW47Hq+dnGa+0FpiWXFNEpVppDaKc4ViAcu0SKfTD0zH3XN9m1TT8kv1qqIuCrssUW4LDGoeCy904DvflshkZOr/HJIEw8OCF46uvGhylCjFyPCKPfThVIRnt8YoFvIsLCxQrVYXvdD700QiEfoifWxIb2gA9IGBAZ566qlHfo8F/uxCiJ7pPDiOwz/8h/+Qc+fO8ad/+qccO3aMr3zlK3z1q19leHiYixcvPvLzfhTxrgT1119/naeffpqBgYFV78/xHArVAuloGkmSePuNNxgdHGTiqac6OtYzZ86Qy+V45plnmkqbLiwscPLkST7wgQ8A7fvnnXmgS765Ss2co56AduDAgYdelgrY4jMzMywsLBCPx4lGo8zNzbF79+6WpiwPM3K5HCdPnmRsbIydO3c+tIdAMNYTAHypVKK/v5/+/n6mp6dDla+VmL/5ap472TsrArtpubx2cppsqXX/XHXKJKqzNHXve0Q67sITWLbVVLnNdV1K5RLp1OorBr2M7ILDN7/ZulLw/d/vEU80/xvZSpRSZIQmbklhjPZHed/TI6h1n71pmiwsLJDNZsnn8/TH+9m9YTcjIyMYhsGJEyceO0D3PK9n/uyu6/JP/sk/4e233+b1119vmAZxHIfr16+zs4Xw17s93nXld1j7WJsnPGzXpj/mg6BXrSKpKqIDEk61Wg17Ri+88ELLsmDA0ocuCHErZFOSojbosjuOw5kzZ6hUKhw5cuSREIjq2eKWZXHhwgVmZ2eRJIkbN25QLBaXEV4eZgQz8du2bWvqlvcgIxjrSaVSbN++nXK5XDPRuYHneUiSxK1bt1aUre2L9DHRP8Hthdst1ecMXeEDB0Z59cQ0hUpzlz5HjVE2+omZ8w0/r3cSe9h/I0mWmiq3FQoFPOH542KOjazIj7TMalkWM7NVoDWol0oQTyz/ua3GKBnDKwL6uoEo793XCOjgz7yPjY0xNjZGXIsTdf3FciCrHI1GSafT2Lb9SCsZruty6tSpngP6z/zMz/Dmm2/yjW98owHQwW8P/nUFdHiCQL2bWPOsOlIoKOOZJpKuo0Yibdn3ASFuaGiobZ9YluUQyFcixLXzQJdkBUXXGsRuAqa9rutr6g/3KjzP4/Lly+TzeV544QVisVhYhj537hyu6zYtQz/IuHPnDpcuXWLfvn2PxUy84zhMTU2xYcMGtmzZEhIRJycnG3qJgWxtEAkjwUT/BJMLky2BPWqoIbCXzebVLkvrQ/EcDNsfswx005F49MYsEr5qnWn6x5NK4zi+AU2xWFyTwcpaIiDpDQ2t3OZrNlllqXHKxtCKgD4+GOO9e4dRVqiOpKIp1qfWI0kSyWSSTCbD6OgosViMyclJzp8/HxI1e+Wi1ml4nsepU6dCs61e3Nee5/FzP/dzvP766/zVX/3VY1Hte9ziXQnqqqquiSgXXPTCcZBrmbaiKCtu8969e5w9e3YZIa5VBEQ5x3EafIDrw7VsPKeFB7oko2jaMm32oJw8PDzM7t27HzkBLTBBcRyH5557LpxICOZOd+/eHZahb9y4sUzwptfiEQHX4fbt2zzzzDOPBVM2k8lw6tQptm7dyubNmwFYt24d69ata5CtvXDhArZtMzg42EBEjBtxNg1s4tb8rZbAnohqIbCbdvMFb8UYQBYOilV8rHTcEb74lGVZ9Pf3hyNxsVisoUwfmMnUm8/02gc9iICkl0ql0A2dkRHB7KzUtKe+tPRuqQnKxuCKgL5+KMb37R1BWeH409F0qJdRLpc5duwYo6OjYRtp+/bty4iagYtaUCF7UFWOANADXkivAP2f//N/zle/+lW+8Y1vPPTq2pMST0xPPXBH6iSC8bG1/NGFEA0Ps3pXtaWvu3r1Kjdv3mxKiGu1bcuy+Na3voVhGIyMjDTIIwohcC0L0bTaICFrzV3T7t+/z7lz5x4LiVXwxSBOnDgRmjR0cmPXm0AEo0r1gjdrOSfP8zh//jwLCwscOnSIRKJJTfQhx/T0NOfOneuIxNiMiJhKpcIFkKRJKwI7QCZv8trJaRy3+Wsc28K9d5GoymOh447wpZ8d12lfMagr05uWr00fsOl74YMeRDOSnm3BsWMyMzOLH1gz9rulJihHhlbc/sbhOC/uGW4L6OvTvnplqVTi2LFjjI2NsWPHjpb3SL2L2uzsLJZlhfrrQ0NDPVtAB4BuWRbPPPNMTyqFnufx2c9+lj/+4z/mG9/4xl/r8nq7eGJAPQDCTuLUqVMkk8mOJFg7jUuXLuG6Lnv27Al/1gkhbmnU988DNvTMzAxzc3NomubfYOl++pJJ5CU3taSofql9KYmuTgFt3759HS0sHnQEFYPR0VF27dq1KjC2LIu5uTlmZmbIZDLhONjIyAjpdLqrbTqOw+nTpzFNk0OHDj0W8pGTk5NcvXqV/fv3h6p13US9bO38/DyxWIxEf4KqWl1R9ORupsw3z8zgLbn1bdtmbm6OeMRgg1ZCZu1uh2uJtXqzu64bEu3W6oMeRKVSoVgotmTdl4qS30OPsyxDN7UkFWO5GmB9TIzEefGp4WX3fn30x/oZT/kLwFKpxDvvvMP4+Hhbtc36qNdTmJubC9UBgwpQX9/qKjSe53H69Gmq1SqHDx/uCaALIfiX//Jf8ju/8zt84xvfaHgG/00sj3clqJ89exZd13u6mrt69SqVSoWnn34aWCTEKYrCoUOHOiKjrESI8zyPzNwcM3fvkclkwjnMoaEhBgYH0CIR5CalMs/zuHDhAplMhoMHD3akgPagY2ZmhrNnz7Jt2zYmJiZ6UjFwXTfsM8/O+uIr9cYzK5URTdPkxIkTaJrWllH+MCKo7kxNTXHo0KGeqF/VCwJN3Z9ipjJDuj9Nf39/U2/zG9NFvndhLtSJt0yLucwcyWSSZCKJ4nUw6vYAQ3g+SU8geuLN7nmebyFbc5iTJAld9zN4TdM6KtOXy2VKpdWx7k2tj4qx8jTO5tEEL+weWhHQB2IDrEutA3yth2PHjnUN6M2i3n44k8mE+usBj6OTe8bzvJCc20tA/5Vf+RX+43/8j3z9618Pn79/E63jXQnqFy9eRAjBUx2Mn3UaN27cIJfLcfDgwa4IcUG0Zbg7Lq7lM9xFreQ4l8kwN5/BrPVRA1nW4GaxLIvTp0/jOA4HDx58rLLPB1kxEEKEgjczMzOYphn2mYeHhxsWWIHITSDA8ag5BvUtgFZOg73Yx73Ze5y5eYb5hXksy6Kvry8cmQuun/OTOU5em6daqTI/P08qnWo4Hs0pEa/OttrNA4tA0EiWZFLp3hvlhNKsli/P6roumq5h6AZGxGh6jYSAnk53DVZVLUXVWJm7sXUswfO7h1Y812aAvn79+p5rPdTrr8/NzVEul8MEY3h4uKnSYiCWVCqVOHz4cE8Y90IIfu3Xfo1/82/+Da+++irPPPPMmrf51yGeGFAHP+PqJK5cuYJpmuzbt69n+56cnGR2dpbx8fGuCHGBQtzKkq823hK+QFBqB7/ENjMzE/ZRg+zr3r17JJNJnn766UeunlSvmX7w4MGHpr3cTJY16DMbhsHFixcfG5Eb13XD0uQzzzzzwFXQimaRyYVJKuUKC9kFFhYWKBaLxGKxEOC/d/4+xy/epb+/PzRmqY+ItUDEWqMPexcRAIqqdO89vtpwHdcXvFlapjd0NFWjVC5RKVdI96e7rvJU9RRVfWVA37YuyZFdgyten4PxQcb6/NGtYrHIO++8w8aNG9m6desDv64D/fXZ2VkWFhZCd8LACx14IID+H//jf+R//9//d772ta+t6JHxN9EY70pQv379Ovl8noMHD/Zs33fu3OHq1as4jsOBAwcYHh5u+556MIcWCnGWjXDrWPWSjKJrTUvt4Pf0bt26xZ07vuhIMpkMiXZrJZKtNnqhmd6rqFarzM3NcefOHQqFArquMz4+zsjIyKr7hL2IQIY20Ll/WGOGSwVqHNshm82GIO95HpP5KCXPd1BrBqLx6kzP7FpXCs/1WMguoGnaIyPpeZ4XZvCmZYaTpPGEL5zUzfVT1dNU9fSKr9kxnuTZnZ0DemBBHSxUH3YEbZ4A5IUQqKqKEILDhw/3pPIkhOC3f/u3+exnP8uf//mf8+KLL/bgyP/6xBMF6oEBRLsIsurDhw/3ZL+O4/D222+Tz+d58cUXuyLEtfJAXy752prVXh9TU1NcvHiR3bt3Mzw83EAki0QiIZHsQfh7N4ugXx1YKD7qmXiAW7duce3atVDvOiAiyrIcfj5L570fZFQqFY4fP/7/b++845q69///ymTvEUABcQEOZGrRuq2jDrDa3W+Xba2z1d7a3dretv7svr23e2h7q9UquK0TxW2VvZGN7E0Sss/n90fuOU0gQIAEAp7n48GjNePkJITz+oz3+/Uyuw1tZ7TIWnC7+fbfNxDgdsVtVFdXY9iwYZC2yXAuvRYtbRpYW1vDxtpGfxmaUHCQVYFHGdd90huYqFKhUPv3ZQFV92KxGAqFAkIroTYlUkMx6XJWVoaX6WlkQhcohF2vVgUOd0TEmK4L5wwJup+fn0mLgHsLRVFITU3VevYLhWhra2NWydzd3Xs1ySCE4JdffsGrr76KI0eOYObMmWY6+6HLkBT1ioqKbmNNjYUuiKMoCoQQTJ8+vdvnGGf5qgDd1GrIQMbQMQsKCnD79m1MmjSpgwUuXUhWW1uLurq6fhEwS9uv1rXFbV+AptvvXVdXB5VKpWd4Y67BiFgsRkpKCjw9PXvdBWAKGqWNqGqtAghQUlqCpqYmBAUFMasqcoUGR66VoKFJArlcDpVaBSuhFaxttCIv4FLGh7/0ELVau3pgVFRpf0D3xauUf1vjkv9V0/+v0E6lUmmX6f+XEc/n85nzlgldoRB2XbAa5OuE8NFdF86527tD5KA1RmptbUVycjL8/f0REBBgkrfZFwghyMrKQmtrKyIiImBlZcWsktHdGJ3FpHZ1zN27d2Pz5s04dOgQ5syZ00/vZmgxJEW9u1hTY2lubkZKSgo8PDwgEomQnZ3d7chRd4befrkdaG/5ygFXIABP0PU+HZ05LhaLERYW1u0SF70vSQu8Wq1mCu1M5djW0NCA9PR0ZtZgCfvV9EUmPDy8S1tcQgjEYjEj8HSdAl1oZ6rtA9rfn74QD/RnVNtai6tpVyGVShEUFNRhT79VqsTp5Goo1Bpo1BrI5DLIZX9HgDoIAHdOCwR807m2qZQqNLc0W0wWOu11r1ap4ezSdYqeUqEttlMoFOByuRAKhVDbewEOXRe8jfNzQuiorgXdw94Dng7aQlO6MDcgIIAxJxpICCHIzs5Gc3MzIiMjDdaG0O26tMjT1yC6J97Qc/bt24d169Zh//79WLhwYX+8lSHJoBJ1lUrVrVUrACYG9O677+71a1VWViIrKwtjxoyBv78/WltbkZSU1Ono0biCuL8z0I2ZnQPalYLU1FTweLxeZY7TAkYX2rW1telVivemWKuyshI5OTlmT30zFpVKxSRAhYaG9vgzkslkTCV9c3Mz06/r6enZa1tN2gho7NixFmFlSXtwV7dWY9jIYeB3MpCsbpLhfFqNXg87RVGQy+WQy+TgSuvgQEkgFGqXoAUGfBOMRalUoqVZ2x9tqEiv3+mJ0U275ylVSjRQtmhR80FpKFhZ/b3KoWt6M2GEM0ICui6c83TwhIe9tmaHFnTaUGqgIYQgJycHjY2NiIyMNKrjRtc0qb6+Hq2trXBwcIBUKoVQKMTUqVNx+PBhPPfcc/j999+xdOnSfngnQ5chKepNTU1IS0vDrFmzevwa9DJ3aWmpXkGcWCzGtWvXcM899xh8TlcFcYBuBjpHWwhnxGyZXrp1dXU12fI2XSleW1urVynu6enZ7UxJ12LV0BbAQEC71tna2pqkC4A2YKHrFAQCgZ7hjTG/g/Lycty6dctijIBUKpVejnWttBbNsuZOH19YKcb1vHrDdxJA0HobVFsTlAolKEorYPRes7HfUdo33cHBAdY2A9+KCQK0tLZAo+mN0Q0HbVZuUArsAaLdTqBXOZQqJQQCAaytrREx1hNRQd5drnLoCjq9Ukj7PQw0vRF0Q9CmUj/++CO+/PJL2NjYQKVSYd26dXjzzTfN0uZ5JzEkRb21tRU3btzA3Llze3R8OtmM3ifStRFta2vDxYsXMX/+/I4V7EYWxBk7Owf+ThCjl9zMsXSrUCgYgW9sbISdnR0jYO2TwSiKQlZWFpqbmy3GYlUsFiM5ORmenp4ICgoy+WdkKP9c1/Cm/TYGIQRFRUUoKytDWFgYnJ2dTXo+vYEO96Gtenk8HgghKG8qh1gh7vR5yQWNyC3vpJWNLpzTqKDWaINV5Ao51Go1BAIBs8/cWe66XC6HuFXM+KYPNLppdL0RdKm1O1R8w0JEabSrHL4uBG5COfh8PpOB7ujoqPdaIgcR3O21zoKWKOi5ubloaGjok6C35+jRo3j77bcxcuRI5Ofn4/bt25gzZw5iYmKwevVqk7zGncagCnQx9qLdm5Q2ukKZz+cjOjq6wxIufTHU9YTvbrn97wx0Aq5A2O3eOX3MsrIyFBYWYvz48WZNELOyssLw4cMxfPhwqFQqptDu5s2bEAgEjNmNnZ0d0tPTQVEUJk+ebPb+amOg9/RHjBhhtkGPbjoafeGvq6tDYWFhh+AZgUCA3Nxc1NfXIyoqyiIGPW1tbUhOToazs7PeSg+Hw8Fwl+EoaSiBTCUz+NywUS5obVOhssFAKxuHC6m1JxzaKsHn88Hn82FrZwuKohhbVqlEqg1e+V8GOm3L2p3Nan+j61zn4uzSwwAYDqTWHlDxO1/h4vK4mBYyHMF+Tlrb29ZWNDU1oaS4BGq1Go5OWlOgscPHMoLe1NSElJQUjBkzBr6+vn18h32H9qCor683qaCfO3cOTz/9NL755hs89thjAID8/HwcPXoUWVlZJnmNO5FBNVNXq9VGibVCocC5c+cwf/58o0bdzc3NzIyvs2VutVqNM2fOYO7cuRAIBEZnoHO4XKNn5xRFITc3F3V1df1q4GLoPGjLyNraWqhUKlhZWWHs2LHw8PAYcKMbek9/3Lhx8Pb2HpBzaL+NwePxwOFwEBISYhHbEvQqhpeXF5Pa1R41pUZxfTGUGsNOjSo1hVNJVWhpM3y/QCWBncLwMj2hCFQqFeQKOZQK7fO5PC40ao3FCDodL8vhcHrhXMeBxNoD6i4EHQAixrghcLiBSngCtMna0NTUBK6cC8gBR0dH2NnZobq6GmPHjrUYQc/Pz0dtbS0iIyNNVkR68eJFrFy5Ev/617/w1FNP9XlQvm3bNsTHxyM3Nxc2NjaYOnUqtm/frhfAJZfL8dJLL2HPnj1QKBRYsGABvv76a72J08aNG3H58mVkZmYiODgYqampHV7rjz/+wIcffoj8/Hx4eHhg/fr1ePnll/t0/qZkUM3UjYUWHY1G062oty+I6+zLpXtMHo9nVAY6V8AHz8hWKZVKhfT0dCiVSkyePHlADVzodjiBQICamhqIRCJYWVmhoKAAWVlZTJuKrmVtf0AIQXFxMUpLSxEaGgo3t657fM2JnZ0d7OzsMGzYMCQnJ0OlUsHW1hYpKSkD4hegC111390qBp/Lh7+rP4obiqGmOsYKC/hczJjoiVNJVVCoOw6mVQJ7KCglk8GuC4fLgdBKu89OV5Qr5Noq8ZbmFqP7vc0F3SHSm3hZAg6k1p5Q8zv/G+WAg8ixrhgzrJPWNg5ga2uLkV4j4WbnBoVCgdLSUpSWloLD4aCkpARSqVSb/dCPngq66Ap6RESEya5JV69exf3334+PPvrIJIIOAImJiVi3bh2ioqKgVqvx+uuvY/78+cjOzmb26Ddt2oRjx45h3759cHJywvr163Hffffh8uXLesd6+umncf36daSnp3d4nT///BOPPvoo/v3vf2P+/PnIycnBs88+CxsbG6xfv77P78MUDKqZukajMSonnRCCkydPYtasWZ0uFRFCcOvWLZSVlRntEHfq1ClER0czxzRcEKcCpdF06QrXnra2NqSmpvYootTc0NXbo0ePZvb0DEV/uri4MMv05vSep1cx6uvrERYWZpQBkLmh96utra0REhLCbPvQ2xj19fXgcDhwd3dn/ALMvcpB12L0pOq+TdnWZWRrdaMM59NrOqS6AQAIgYOsGjyqE7dHAoglYigVSjg7O4PH5zG2rLr93tZW1hBaCcHn8c3ep84IOo8HJ0enHr0eAQdSG0+oeV0LelSgG0b7dP0d9Xb0hquddlWnsbERqampCAwMhJeXl56nAt0ORnsq9McqB319rK6uRmRkpMnaDW/evIlly5bhvffew4YNG8w24K2rq4OnpycSExMxY8YMtLS0wMPDA7t378bKlSsBaDNCgoODcfXqVdx11116z9+6dSsOHjzYYab+yCOPQKVSYd++fcxt//73v/HRRx+hrKxswNtWgSE6U+dwOODxeJ0OAOiCOLFYjLvuusuo/U9CCHg8HhobG+Hl5WWwSEobyMIB39rK6F9uc3MzUlNT4e3t3ekyaX9CCEFpaSmKioo6VG9zOBxtitf/Ym3pVrCamhrk5eUxlrX0Pryp3gvtmS6TyTB58mSLCK6hjXdcXV0RHBzMzKR4PB5j20uLB91iqVAo9AxvTH1xrqqqQnZ2NiZMmNCjWgxboS2GOQ9DeVO5wfu9XG0QOsoFyQWNHe/kaJehHWWVHY1p/jdDV6lUWvOR/7V28fg82PJtYWtrq9fvLZVKtf3e/5vBCwVCkwt8X7zlCTiQ2Iig4XX+/eOAgylBbhjp3bWg+zj5wMVW29rW0NCAtLQ0BAUFMS2idD93UFAQM5AuLy9HdnY2HB0dmZUyc1hD0x1A1dXViIiIMJmgp6amIiYmBm+++aZZBR3QtgICYLbCkpKSoFKpMG/ePOYxQUFB8PPzMyjqnaFQKDp8HjY2Nrh9+zZKS0stwkdgSIo60HmxHF0QJxAIcNdddxkdmUpRFHx9fVFYWIhbt24xy6tubm7gcjja5XY+z6hWNRr6Imwp+2cURSEvL4/ZP+suxtXGxgZ+fn7w8/PTyz4vKiqCtbU1I/B9WYJWKpVISUkBj8dDVFSURdjQ0gOx4cOHdxkUw+Vy4erqCldXV4wdO5a5OJeVlSE7OxvOzs7MxbmvF046Ha+32xKO1o4QOYhQI64xeH+QrxMaxUqU1Eg63Ee4fEit3GEvr9W58e+e767cxLhcLqxtrGFtYw1CtPvwCrkC4lYxKEIxwSpCofHtcp3RF295wuFCYi2Chtd5kSiXw8GUIHcEeHU9SdAV9Pr6eqSnpyM4ONhgfUj7gTTdsVJfX4+ioqIeu7Z1+z7/17ZaWVmJyMhIk7WXZWZmYunSpXj55Zfx0ksvmVXQKYrCiy++iGnTpjGhXtXV1RAKhR06UkQiEaqrq40+9oIFC7Bp0yY8+eSTmD17NgoKCvDpp58C0F7PWVHvIT35IhgSdbqqVCQS6c2uukK3IG7kyJEYOXIkWlpaUFtbi/z8fCgVCrg6u8DT2wseHh4w5k9Kt/Vp0qRJcHd3N/p9mQt69YKeDfd0/4wOTvHx8YFGo2GcpFJSUsDlcpnZa08uPFKpFCkpKXB0dMSECRMG3IYW+Ht5u6eVye0vznK5nNnGuHXrVpfthF1BX4Rv376NiIiIPhVXutu7Q6VRobHNwIwcwORAN7RKVWiUdFxqV/NtoRA4wkrV2usWMTrjXCjU7sOr1CooFUq0tbVp/cUF2n14aytrPUMXY9BoNGhu6p23vLGCHh3sDn9R14I+zGkYnG2dAXQv6IbQ7VjRbbnMysqCRqPRc23rzUpQUVERKioqTCroOTk5WLJkCdavX4/XXnvN7KuR69atQ2ZmJi5dumTyYz/77LMoLCzEkiVLoFKp4OjoiBdeeAFbt261iOsTMMhEvSe0F/WKigpmVuzn52fUF4suhmtfEOfs7AxnZ2eMCgiARCxBfVMjSktLkZ2dDVdXV0bADP1R0XamLS0tFtP6RLvWCQQCk8yGeTweRCIRRCKRnuc6feGh95gN9XrT0LPhYcOGYfTo0QO+LQH8HabT0+VtQ1hbW8PX1xe+vr4d2gn5fD4j8F0Nguje4bq6OkRGRprku+Tl6AWlRgmJouOMnM/j4u4JHjiZVAWFysAqmNAFPLUc4ibtbL/nLWI6cACBQACBQAA72Gn7vf9XSS+RSDrEo3Yl0nRYjJWVlfYzMoOgTx3nAT/PzkWQw+FgmNMwONloB111dXVIT0/H+PHj4eXlZfwJ6dC+5ZK2PqZXgmhjKXolqLu/Id3BoakEPT8/H0uWLMGqVauwdetWs/8dr1+/HkePHsWFCxf0akq8vLygVCrR3NysN1uvqanp0efP4XCwfft2fPjhh6iuroaHhwfOnj0LABYRsgMMskI5iqKgUhmXFHX16lWMGDECXl5eyM/PR3l5OUJDQ42aFdP96PSgwGBBnEoNDpejVwzX1tbG2LHSbm0ikYjxE1coFEhLSwOAXtmZmgPatc7Nzc3o1YveQvfp0jNUmUzG9HrrDoJqa2uZzHpLMd4oKSlBSUmJ2Z306EEQ7dtPz77a+/ZTFMXkAYSHh5u0W0JDaVDcUAyF2nDxW1Wj1kqWQP/SQWkoNNZVw01dD2cn41cbegpFUVApVUyxHYfDgZXQyqBtrUatQVNzU6/CYigODxJrEShe53+nXA4Hd4/3wHAP4wW9trYWGRkZJhkcdoahcBVa4A2tntArh6YaHNLHXLhwIR544AF88sknZr+2bNiwAQcOHMD58+cxZswYvfvpQrnff/8dK1asAADk5eUhKCioR4Vyhnj88cdRUFCAK1eumOz99IVBJeqEECiVhntm23Pjxg14enqioaEBEokE4eHhRhfE6TrEGcpAp9QacHncLnvPdZdXm5qaYGtrC4VCAWdnZ6ZSeqChDVwGKnBEKpUy4kUPgoRCIerr6zFx4kSLsFiljTdqamoQHh7er1X3uoOguro6SKVSuLq6ws3NDbW1tdBoNAgPDzfL4FCpVnba6gYAWaXNSCtqYv5Nb7kI+AKIHK1hp6g1+DyT8z/fdTr/nNJQjOENl8dFa0srbG21RXk9FnQbL1DczleteFwO7h7viWHunddDdCbo/fn9pjsyaJGnKEqvmp4u8oqIiDDZ97u0tBQLFy7E0qVL8eWXX5p9aXrt2rXYvXs3Dh06pNeb7uTkxAx416xZg+PHj2Pnzp1wdHTEhg0bAEBPjAsKCiCRSPDtt9/i3Llz2Lt3LwBg3LhxzLVp//79mDVrFuRyOXbs2IHvv/8eiYmJJkkFNQVDWtQlEgns7OyMnhXTBXF0f3sHhzhCQDQUuJ3YX3ZGdXU1srKyYG1tDblcDhsbG2aJvif7p6bk9u3byMvLG1ADF13kcjmysrLQ1KQVCjs7O+Yz6m2oSl8x52y4N7S1taG6uholJSXQaDRMt4Gnp6dZqqClCilKm0oNJiMSQnAhsxYV9W3QqDWoq6+DlZUVXJxdAA5go2iAlapzG1qzoBOPKpdrbWt5XB5sbG20trU8nlHCTnH4kNiIuhX06RM84ePWtaAPdx4OR2ttwWlNTQ0yMzMHdMDafqAokUjA4XDg6+uL4cOHm2TZvaKiAgsWLMA999yDb775pl/2mjv77u/YsQNPPvkkgL/NZ37//Xc98xnd5fdZs2YhMTGxw3GKi4sxYsQI1NfXY+nSpcjIyAAhBNHR0fjggw8wZcoUs7yv3jAkRb2pqQk3btyAg4MDpkyZ0uOCuM4sXwEY5QynS3l5OfLz8xnxVKvVen3MfD6fuTA7OzubXby6y2UfCGhf+ZaWFoSFhTEjYrrKl7as7a/PCNAWDqalpUGtVjPnNNDo+rgHBgYyy/QNDQ3M8ipteGOqCymTw24ApUqDI1fLUHq7GtY21nB2cv5bNGl/eMq47TJTwsS52tqBw+UwLXOGbGvbY4yg87laUx4v1y561TsR9JCQEKM8MfqD0tJSFBYWwtfXF2KxGI2NjbCxsWFm8D33wddOYBYsWIC7774bP/74o0WsSN5pDDlRpwviHBwcmFai7uisII55XYoCDOyrd3fM/Px8VFdXIzQ01GC4B0VRaGxsZPbhATDiZQ4XKd3McWNy2fsD2klPpVIhLCysg688XeFLL9MDYMTLXGYuCoUCKSkpEAqFCAkJsQgzoLa2NiQlJXXoiwf+Xl6lZ18A9IoR+/oZVbVUGayIl0qluJGajVsNVrCz71hRzqVUcGirBAf9d4lh4lwd7PVWVgghUCn1bWt1++E5XA4oDh9iGy8Qbue/bz6Pi5kTPSFy6VrQfZ194WCtXcqurq5GdnY2Jk6caFGCXlRUhIiICKZ1Va1WM9X09fX1oCiKaZdzc3PrtoC2trYWixYtQnh4OH799VdW0AeIQSXqgPaCawja0pAuiKuvrwchBMHBwZ0ey5iCON29dWPRbQ8LCwszatmWEILm5mZG4NVqtVFV4saiVCqRlpbW68xxc0DPPK2srIwST93PqK6uDkqlUq+IzBQ97HQbXfsQlIGE9nH39vbGmDFjuvwu0u1k9Gckl8uZjgwPD49e/d4JIShpLEGb8u9wF7FYjLy8PAwbNgxSYo+/OolqFapaYasw3CJnapg4V0eHrg2KiHYwqVRq9+HVajV4VrZQOPrBytauUzES8LiYFSKCh3MX5jPtBL2qqgo5OTkICQmxiNZVAExgVHh4eKctkPT3iF4xk0qlcHFxYUS+va9CfX09Fi9ejKCgIOzevdsi/CTuVAadqCuVyg57fPRSqVQqZQribt26BYVCwZgPtKe7gjj6MT1d6pXJZEhNTWVmeb35ctPtKbTAy2QyRrx647dOC5WDgwMmTJhgESNoiUSC5OTkXlfd05a1tHiZwrK2paUFKSkp8PHx6VY8+wtjfdwNQQhhgmd0ixF13ciMRU2pUVRfBJVGhZaWFtzKvwU/fz9mb/hKdp1BYxoAsJPXQqA2kPZmQmhBd3Ry7HGKoJLiog5OkCm0FfUCvgDWNtawsbFh2uWEfK2guzt1/r3icrjwdfGFvZW2ILeyshK5ubmYNGnSgOYU6FJeXo6CgoIuBd0QtHtkfX09GhsbYWtri7Nnz2Ly5MkIDw9HbGws/P398ccff1jEhOFOZtCLOh0vaWVlhdDQUEbwiouL0dLSgtDQ0A7H0N0/53A4JpuNtbS0IDU1FZ6enggMDDTZcWknspqamh6LF93vbUlC1djYiLS0NPj5+WHkyJEmOSeZTMYMglpaWjoUkXUHbdU5atQo+Pv79/l8TEFvfNy7gm5zqq2tZS7M9FaGo2P3oSYylQxJt5JQUFCAgIAAvZmnSk3hZFIlWts67qFziAYObZXgkp7FIRtLX/LZNVwBJDZeIBztQJfOP6d/uFwuHOxtcU/EMPj7uHXuHjgIBP327du4desWwsLCDG4HGotarUZdXR1efPFFXLhwARqNBs7Ozvjoo4+wZMmSbp0oWczLoBZ12iHOy8sLQUFBeiJaVlaGuro6RERE6D2/u4K43kIHoIwaNcpoc5veoOu33tLSAkdHR0a82i+J0Xt5lpLLDPxtjRsUFIRhw4aZ5TWUSiXTTtjY2MhY1nYmXvQ5WUonAPB3vKy5epnbF2zSyXxd1XNUVlbiZsZNuPq6wsXFpcP9TRIlTidVQU11DIbhq2Wwlxu2oO0LcpkcYrG4V3GuGq4QEhsRI+gdIADRKDHBhwdKKYZGrRUvZxet+RS9XcTlcOHn4gc7K+3gsaKiAnl5eQgNDbWIQlRAK+j5+fkIDw/vk6DrIhaLERsbC4FAgMmTJ+PPP//ErVu3MHPmTPzjH//AggULTPI6LD1j0Im6SqUCRVG4ffs2cnJyEBgYaNCgpKKiAhUVFXq9g+YQdDoOtKSkpN8LYZRKJTM7bWxsZNrAPDw8UF9fPyDn1Bm6QTH9ub/YXrxoFy7ara28vByFhYUWNaOifdz765x0Xf/q6uqgUqk61CqUl5fj1q1bmDRpEpR8ZadWsgWV4k73120UjQZjWnuLrE0GiUTSS0G3gthGBHA6X02zFvAwO9QLLvZa21ppmxRNTU1obmpGm6xNW4zr4oqQgBC4O2u/z7R4WpKg04OMsLAwg4Ox3iCVSrFixQrweDwcPXqUWQ0rKirCkSNHEBISgtmzZxt9vP7MQz958iTeeecdps14xowZ+PTTTy3Ct90UDDpRVyqVyM3N7dYhrrq6GsXFxYiOjjaqIK43UBSF7OxsNDY2DngcqEqlYpZW6+rqQAiBt7c3hg8fPiCZ3rroGriEhYUN2PJce7c2upNi1KhR8PX1HfAqd10f97CwsD75uPflHNrXKlhbWzP1KSKRSDuQbSiGTCUzeIzLWbUorZUaOjgcZJUmaXNra2uDVCqFs5MzBMKe1ZioeVaQWHct6DZCHmZP8oKzveHBgkKhQGtLK4QKIdpa22Brawtra2s0NTUhLCzMYgSd3gYw5SBDJpPh/vvvh0qlwvHjx01y3Vu4cCEeeughvTz0zMxMvTz0NWvW4NixY9i5cyeTh87lcvXy0Ddu3IjAwEAmD729qBcXFyM4OBibN2/GqlWr0NLSgk2bNjHFqEOBQSfqf/31F1paWrr1J66vr0dOTg7uvvtupl0NMJ2g09XkFEUhNDS0x8U55kCtViM9PR1yuRz+/v7M7Ku3gSqmQKPRIDMzk3H1G2gDF+Dvvvimpia4u7ujubmZsaztS5V4X9D1cTfW/bA/ziknJwfV1dWws7ODWCyGvb29NhHMzQW18lpoDOyTq9QUTtyshFjWUby5GiUcZVVAH9rc2tra0CZtg5OzU4+LRtU8a0isPbsRdD7mhorgaNf5d4DH5cHPxQ+2Qluo1Wrk5eWhqqoKXC4XPB5PrxVsoApTzSHocrkcDz/8MFpaWnDy5EmzDTzNlYe+f/9+PPzww1AoFMx18MiRI4iJiYFCoRgSVfsD34DbQ/z8/GBvb9/th08HuuhWuJtKzCyxmly3PWzy5Mng8/kYNmyY3uw0MzMTFEXpxcaa89yVSiVSU1PB4XAQFRVlEVWx9MBHqVRiypQpzGCMtqylt3WcnJyYgZC5ByK6znVRUVEWMfChBxkNDQ2YMmUK7Ozs9FaDSktLoeFooLRWwtXVVc8ZUcDnYuo4D5xOrgLVbs5A8YSQCZ1ho2wy9LLdnJT29ySTyeDs4tzjlRU1zwYSa48uBd3Wio85oV5wtO3KTe5vQQe04qkbV9zc3Iy6ujrk5+dDoVDoWbL21+C/qqqKKdQzlaArlUo8/vjjaGhowOnTp826kmSuPPSIiAhwuVzGaU4ikeC///0v5s2bNyQEHRiEou7u7m4wJ709XC4XKpUKzc3NpnXY+l/l9vDhwy0mPYwOZXF3d+9QMMjlcuHm5gY3NzcEBQXpx8bq9Hl7eHiYdPm5ra0NKSkpsLe3t5iBD53NzufzERkZqfd+7ezsEBAQgICAAIOxqOayrNVoNEhLS4NSqbSYgQ+9rdTc3IzIyEhmkCEQCODt7Q1vb2/GFCi/PB8FBQVMzKqrqyucnJzg5miFkJEuSC3suPeuEDpBoGkDX2PYc8IgBJBIJZDL5XBxcQGvh1bNKp4NpNaeQBe/OztrPuaGesHepmtB93f1h41A+5nQdSK6LWKurq6M8RXdUlhRUYGcnBw4OjrqtRSa4/pRXV2NnJwck9ZkqFQqPPnkk7h9+zbOnj1rsr15Q5gzDz0gIACnTp3CAw88gNWrV0Oj0SA6OhrHjx835VsYUAadqBsDIYSxO0xJSWFsRkUiUZ/2l2m/dHNWbvcUuu0pICCg2z5mDofDxMaOGTOG2TstKSlBVlZWt7GxxkK39olEIgQGBlrEwEcmkyE5OZlZXelqkNc+FlV3dioUCpmVjr5a1qpUKiZvvv0gY6CgKArp6emQyWSIiorqdGapG/s5vGE4qhuq0dTchNu3b6OgoACOjo5wc3GBh6MQda0dXSDbrNyNd5sjgFgihlKh1Ap6DweIKr4tpFYeXQq6vbUAc0JFXQo6n8uHn6sfI+glJSUoLi7utOebw+HA3t4e9vb2CAgIgEKhYMxcioqKuk1O6w01NTXIzs5GSEiIyQRdrVbjmWeeQUFBARISEsxevGnOPPTq6mo8++yzeOKJJ/Dwww9DLBbj7bffxsqVK3H69GmLuFb1lYG/ipgQuiCO3j+fMGGCnhVrSkoKeDyeno+4sb7wt27dQmVlpUUVwdC+8r3JZOZwOHBwcICDgwNGjRrFxMbS+3DOzs7MDL4ny8H0IMPcrX09gS6C6c0gw9DstLa2lonQ7a1lrVwuR3JyMmxtbTFx4kSLWMnQaDRITU2FWq1GZGSk0cuRw1yGQaFRwN7BHr6+vpDL5GhqbkJDQwOsFWI0N3LBE1jBxtpGO3DhABRXAJmVK2wVDV0fnGh/f0qVVtC5vJ4JnzGC7mAjwNxQL9had2EPy+XD39Uf1gKtLwTd8aJrs9odVlZWGDZsGIYNG8Z8l+i/F3pbjN6H780AT9df3lTdJRqNBmvWrEFmZibOnTtn9iAac+ehf/XVV3BycsJHH33E3Pbbb7/B19cX169fN3oZ35IZdKLe2QWZFnNa0OmWNd0ZRXBwMJqamlBTU8Ok7HTnta7RaJCRkQGpVIqoqCiL8EvXHWRERESYpO/U1taWcS3TXX7Oz8832siloqICubm5vRpkmAt6u6Q3jmzt0f0uURTFbGXk5uYabAPrDKlUiuTkZIM+7gOF7qpBREREj0SFz+VjuPNwlDSWgBACaxtreNtoB0IqlQrOxTU4n1YNcasYPB5P69ZmbQMIHSBUt4GvMVxFDwK0iluhVql7VeCp5Nuhzcq9S0F3tBVgTqgXbK16Juh0VGlvOzl0v0u0JWtdXR0KCwuRkZEBV1dXZh/emEE1XTNjysAYjUaDDRs24K+//sL58+fN+jfdPg89ICBA7/6IiAgIBAKcPXtWLw+9rKwM0dHRRr9OW1tbh+8RPaCmDPgrDEYGXfW7RqOBWq2f8dze8tXY2XdzczNqamqYbOr2BWRyuRypqang8/mYNGmSRRRS0NXkYrG4X0JZlEols/zc0NBgMDaWEIKioiKUlZVZTPIb8PfMxdzbJbptYLW1tUzuOX3R1nX9a21tRUpKilE+7v2FUqlkXBlDQkJ6vWpQL6lHjdiwwcyNvHrkV7RCIVdAJpNBLpcDAGysBfAmTRAK+fqfBdF+VmqNuldL00q+Pdqsu56tOtkKMSdUBJseCDr9PTdl9nh72traGM+A5uZmpuPAw8PDYFSzOTLaKYrC5s2bcebMGZw7d87sLov9lYeekJCAefPmYevWrczy++uvv47c3Fzk5ORYRJFqXxn0om4KQxk6Y7i2thY1NTVQKpVwcnJCa2sr3N3dMX78eIuYTdHV5AAGJJRF18ilrq4OAoEAHh4eaGtrY1rWLKEVCwBjljIQ5jv0RZm2rKWLo6ytrZGbm8vUP1gCcrkcSUlJRtUaGENZYxnEio456mqNts2NsZEl0Oaey+SgpA2wV2jjY4VCIYRWQohbxdBQml4JukLgAJlV1/u+znZCzAn1grWw8wEMn8fHCNcRsOJr6woKCwtRXl5uVkFvD13TQfuu8/l8RuBdXV3R0NCA9PR0kwv6q6++isOHD+P8+fMYOXKkSY7bFf2Vhw4Ae/bswUcffYT8/HzY2toiOjoa27dvR1BQkMnf10Aw6ESdoiioVNoLAyGEEXhT9Z8TQlBWVoZbt25BIBBArVb3KUzFVNBtdI6Ojhg/fvyA78FSFIW6ujrk5eUx/Z3mjI01Fl0Dl84ib/sT2rL29u3baG1thVAohI+Pj9F+6+aEjnOlQ3VMcS66wS/taWhVGGxzAwGsJBUgbS2QK+RQq9XggAM7OztYWVv16LuuEDhCZtX1SpGLvRBzJnnBykhBp79TFRUViIiIGLCBa3vnP6VSCYqi4Ovri5EjR5pkkE9RFN5++23s3bsX586dMyq6msWyGLSi3l0Gem/QtTIdP348RCIRpFIps0QvkUhMViHeE5qampCWloZhw4ZZTBsdnTkuEAgQEhICsVjMzE51Y2Pd3d37bQBCURTTWx0WFmYxqwa0j3twcDB4PJ6eZS09WOxvUyCJRIKkpCR4eXlh7NixJv1OtSnbmP319mSWNCO9uGOPOodSw0FagdbmJlCEgrW1NZRKJZRKJfh8PqyEVhBaCZnUNEMYI+iuDlaYPUkEK0Hn30kBT4ARriMg5AstRtDbU1dXh/T0dL2VMjqBz1AOhDEQQvD+++9jx44dOHfuXJex1SyWy6ATdY1GA4VCYXKHOFoQ6urqEBoaarBFha4Qr62tRWtrK1Mh7unp2auoT2Ogw0YCAwNNktRlCiQSCVJSUuDi4tIhc5zeyqBDZ+Ryeb+sdNAFjW1tbQgPDzfb76OnlJaWGvSW1zUFqq2t1at+NvdAiI6YpWd45hgk1knqUCuu7XA7RRGcSalGfau83e0UJDVlcFQ3w8n577ZTiqKgUqqgUCigUCrA5XAhFAphZW0FoUDICLxc4AS5Vde90+6OVpgVIoKwB4JeUFCAyspKREZGWkSRLPB3ouC4ceOYpWe6uLWurk4vgc/Dw8OoNl5CCD766CN8/fXXSEhIwMSJE/vjrbCYgUEn6u+88w6am5sRExODyZMnm2R2o1KpkJ6eDpVKhdDQUKMEQS6XMxfk5uZmJi1NJBKZpNiCDoopLS3FxIkT+y0ApTvofG9fX1+MGjWq24uFbgGZbmysp6enydy16MptDoejF787kPTEx123pqO2tpYZCNEXZVOuCNG/v5EjR5q1+IkQgpLGErQpO+aoi9tU+PNmJdQa7cCc0lDMyoWvrQpCSt7hOdqDAkqVEgq5Qrv0TChYCa1A2XuCcvDs8lrg7miN2ZNEEPA7f0x7Qb916xaqq6u7taTuT2hBDw4O7jRRkK59offhORxOl7a1hBB88cUX+PTTT3HmzBmEh4f3x1thMRODTtRPnTqFX3/9FUePHoWDgwOWLVuGmJgYREdH92p2Qzuf0f3CvekPbZ+WZm9vD5FIZHSWd3soikJOTg6zjDyQQTG60PGyvY1ybZ953lVsrLFYYr837ZleX1/fK0GQSCTMVoZYLO61Z0B76uvrkZ6ejsDAwH4xT1JpVCisL4SG6ugAeauiFTfyGxhB5/P5cHV1BYeo4SirBId0015EAJVahWaNDZo0QqjUKlhZaXvhrW2s9b4Hns7WmDmxa0EX8oQY4TYCAp4AhBDk5+ejpqYGkZGRvf5umprGxkakpqZ2KejtoVsv6e+TQqGAq6sramtrGZvVr776Ctu2bcPJkyf1Ui1ZBieDTtRp5HI5zpw5g7i4OBw+fBhCoRBLlizB8uXLMW3aNKNma/Retbe3t8n2FVUqFbP03NjYCBsbG0bgjbEY7c2qQX9Ax4GaqppcoVDoZZ73xopVIpEgOTnZoD3uQKHr426KABtdz4CmpiamvamnlrV0e19/ewi0yltR3lRu8L4zSRXIuFUOgUAAVxdXZildqBJ3b0oDQCZ0gUKoXQFRq9WQy+SQyWVQKpUQCASwsbaBn5cT7onwBb8Hgp6Xl4e6ujpERERYnKAHBQXBx8enV8cghDBbiFu2bMGJEycQEBCAiooK/PDDD3j00Uctol6HpW8MWlHXRaVS4dy5c9i/fz8OHToEiqKwePFiLF++HDNnzjS4fEkXL5lzr1qtVuvFoVpZWTECb6jyWSaTISUlBTY2Nr1eNTA19KylqqrKbHGgulas9fX1sLKyYgS+s/3A5uZmpKSkwM/Pz2z7wj1FNywmPDzc5IWU9ICRXlalPyfaZrSzz4DO0x6I9j4AqGypRFObfnGcQqFAano20io5sHdw6lD8Zi+rBl/TyTI8gDYrVygFho1fKA0FuVwOO74KAS5KWFsJ4eLiAhcXlw593p0Juq7n/UDT1NSElJQUk66wEELw1Vdf4eeff4aHhwfjuLhs2TKsWLEC06dPN8nrsPQ/Q0LUdVGr1bh48SL279+PgwcPoq2tDYsXL0ZMTAzmzp0LgUCAl156Cc7OztiwYYPZfYxpNBqNXo83n8/Xs6ulQ1k8PT0RGBhoEbNOjUaDrKwstLa2Ijw8vF9mLe0/J9p5Szc2lnbP6u02gDmgPQS4XC5CQ0PNPiCjPyda5Dkcjl7/Mr38XFZWxhTqDZQpEEUoFNUXQaHWBrjI5XLk5mitiIm1O67m1nV4DpdSdeoN32blBqWg6y0pHzdbTB/vAQ4HaG1pRWNTI5qatAMLOnjGw9UDIz1GMoKem5uL+vp6ixL05uZmJCcnY+zYsSabfBBCsHv3bmzevBmHDx/G7NmzIZPJkJCQgMOHD4PD4eDbb781yWux9D9DTtR10Wg0uHLlCuLi4nDgwAE0NTXBz88P9fX12LVrV4/sBU0J7UdfU1ODuro6xkDHx8cHgYGBFrEvrFKpkJqaCoqiEBYWNiDpYe0rxAkhsLW1hVgsxrhx44zeVzQ39L6+nZ3dgCTSURTFxH3W1tZCpVLB3d0dhBA0NjZ2GjjSn8hUMhQ3FEPWJkNObg5cXV3h7+cPcIALGTW4Xd+xoM5K2dIhorXNyh1KQddtZcPcbXH3eE/wuO2m/0S7ZdPY1AhJiwROHCd4uGsHQk1NTWhpaUFERIRFCXpKSgrGjBljUkHft28f1q9fj7i4OCxYsMAkx922bRvi4+ORm5sLGxsbTJ06Fdu3b9dzh6PNY/bs2aNnHiMSiZjHbNy4EZcvX0ZmZiaCg4M75KFv3boV7777bofXt7W1hVQqNcl7GewMaVHXpbKyEvfccw9aW1vh6OiI0tJSzJ8/HzExMVi4cOGAFaOVlpaioKAALi4uEIvFIITo2dUOxIxddxugL7ahpoRuOaysrIRAIIBGo2Eqek0dG9sTLM3Hna6kz8vLQ2trKwAw3goeHh79ludtiOLqYlxKugRPD0+tSP1Pc2UKNY7fqIRC1a6gjhA4yKrAo5QAOJBauUHVjaD7ethh6jiPjoKugzXfGn6uflDItHUdpaWlUKlUcHR0hEgkYmJRB5KWlhYkJydj9OjRJl2NOnjwIJ577jns2bMHS5YsMdlxFy5ciIceeghRUVFQq9V4/fXXkZmZiezsbOazXLNmDY4dO4adO3fCyckJ69evB5fLxeXLl5njbNy4EYGBgbh+/TrS09M7iLpEIoFEItG7be7cuYiKisLOnTtN9n4GM3eEqGdkZGDJkiWYPn06fvrpJwgEAqSmpmL//v2Ij49HaWkp5s2bh5iYGNx77719imc1Ft29atr5jA52oM1uBsLEhU40s6RtAHqvs6amhrGibe+1TreA9acpUGtrK5KTky3KFIiuvG9oaEBERAQAMFsZuh0H/S1cra2tSEpKAs+FBzdRxy2v0hoJLmcbWIbXKOEgq0KbtTtU/K7P18/TDlODPcDtRtD93fzB5/JBCGFy4ydOnMi0Ffamz9uU0IJOJx2aiqNHj+Kpp57Cb7/9huXLl5vsuIaoq6uDp6cnEhMTMWPGDLS0tMDDwwO7d+/GypUrAQC5ubkIDg7G1atXO6Sjbd26FQcPHuwg6u1JS0tDaGgoLly4wNYB/I87QtTfeustCIVCvPnmmx3+OAkhyMzMxP79+3HgwAHk5eVh9uzZiI2NxeLFi7VtNib+g9ZNfgsLCzO4V22od5kWeHPNTGkfaVMkmpkKOsCG9pY3tDTamSlQX1vAuoJOf7MkH3eKopgaiIiIiA6dE3THQV1dHRoaGmBra8t8Tua0rKWXkUeOHAnvYd4oaigy2OZ2MbMW5XUdl1A5lBqE2/X3fYTIHncFuXcp6DYCG/i5+jGCnpWVhZaWFkRGRuqtYOhmHNTX14PL5RqsVzAH9ODH1IJ+8uRJ/N///R9++uknPPjggyY7bmcUFBRgzJgxyMjIwIQJE5CQkIC5c+eiqalJz7rZ398fL774IjZt2qT3fGNFfcOGDTh16hTy8vLM8C4GJ3eEqBNCjLpg0TPCuLg4xMfHIyMjA9OnT0dsbCyWLl0KDw+PPl/4FAqFXkGVMa13hlLA3NzcmKVCU5it6FqZ9rZlxtSoVCqkpaWBoiijA2zat4AZGxvbE+hCvf7q9zYGjUaD9PR0KBQKoyrv6c4MupKetqylCzdNtUJDV27rFjU2tTWhsqWyw2M7XYbvhpFe9pgS5N7l36auoNODH7FYjIiIiC63JOh6BXq1oycRuz2FFnRTGwOdO3cODz74IL799tt+aVujKArLli1Dc3MzLl26BADYvXs3nnrqKSgUCr3HTp48GbNnz8b27dv1bjdG1OVyOXx8fPDqq69iy5YtJn8fg5WB75nqB4z9EnM4HAQFBeGNN97A66+/jqKiIsTFxWHXrl3YvHkzoqOjERsbi2XLlsHb27vHfxy0vaqzs3OPkt84HA4cHBzg4OCAUaNGQSqVora2FuXl5cjOzoaLiwsj8D3dMyWEoKSkBCUlJQgNDe23boDuUCgUTBxoWFiY0bMja2tr+Pr6wtfXVy82tqioyGBsbE+hBz8TJkzQK/AZSNRqNdLS0qDRaJjc6e7g8/nw8vKCl5cXU7hJR3jSlrW6McS9gXY/az/4cbF1gUQhQau8Ve/xNlZ8hI92xdWcjsvwnTHK2wGTA926FXR/V3/wuDzGR0AikXQr6IA2xtnV1RWurq4IDAxkBtelpaXIysqCi4sLM4vvy6oQve0VEBBgUkG/ePEiHnroIXz55Zf91oe+bt06ZGZmMoJuLg4cOACxWIwnnnjCrK8z2LgjZup9hU5ui4+PR3x8PK5du4aoqCjExMQgJiYGvr6+3f6x0Mu1xtqrGkt7lzYnJyemF7474xq6+Ky+vt6inOvo4jND3vK9xVBsrO7M1JjfB+3jHhoaajGZ8bRFLo/Hw6RJk/q8LUPXddDfKYVCoTczNbZeoa6uDhkZGZ26n6k0KhTVF0FNqTvcl5heg4qGjtXw7Rnj44DIsT0XdKlUioiIiD7XXshkMmY7Q9cYqLPc884Qi8VISkqCv78/AgIC+nROuly9ehXLly/HRx99hNWrV/eLoK9fvx6HDh3ChQsX9N6LOZbf586dC0dHRxw4cMDUb2NQw4p6DyGEoLKyEgcOHEB8fDwuXryI0NBQRuANGaFUVFQgNzcXQUFBZl2uVSgUzMWYXnqmBb79vj29XCuTyRAWFmYxbTx02Ig5i88oimJ6vGtra5ke785iY3vi496f0KsZtFmRqfd6CSHMqhDt3W9MvQLtXtfdakaLrAW3m293uL1NrsbxGxVQqju3ig0c7oiIMV2vKtkKbeHn4scIOh34YwpBb4+ugVJDQwMEAgEj8F0l8EkkEty8eZMxUTIVN27cQExMDP75z39i/fr1/VL4u2HDBhw4cADnz5/HmDFj9O6nC+V+//13rFixAgCQl5eHoKCgXhXKFRcXY9SoUTh8+LBJq/iHAqyo9wFCCGpra3Hw4EHEx8fj3LlzGDduHGJiYhAbG4vRo0fj5ZdfRnl5Ob799tt+Xdqmc7xpu1o7OztG4IVCod7szhICUIC/vclHjRpl1rARXdrvmbbvOOByuUw1eXh4+IC3OtHIZDIkJyfD0dGxR1s5fYEOMdKdmerWK3A4HFRVVSEnJ8do97rbzbfRImvpcHtBpRh/5dUbfE6QrxPCR3e9UmIrtIW/qz+4HC4oikJ6ejrkcrlZnP7ao9Fo0NjYyMziKYpivlNubm7Magot6PTqnalISUnBkiVL8Oabb2Lz5s39MkNfu3Ytdu/ejUOHDun1pjs5OTGDvzVr1uD48ePYuXMnHB0dsWHDBgDAlStXmMcXFBRAIpHg22+/xblz57B3714AwLhx4/R+b2+99RZ+/vlnlJWVWUTLrSXBirqJoI0+Dh06hPj4eJw+fRre3t6QSqX4/PPPERsbO2DtYfQsoqamBg0NDYyJy/jx481a9dwT6L3q/vYm18VQx4FAoHUbCw8Pt7jtCdrzfiB+f4Ysa21tbdHU1IRJkyYZnSqooTQoqC+AWqO/DE8IQUJqNWqa9a1ix/k5IXRU14JuJ7SDn6tfB0E3tt7AlOh+p+rq6tDW1gZXV1c4OTmhvLzc5IKekZGBe++9F//4xz/w6quv9tt3o7PX2bFjB5588kkAf5vP/P7773rmM7p/77NmzUJiYmKH4xQXFzNdJhRFwd/fH48//jg++OADk7+XwQ4r6magqakJy5YtQ0VFBSZOnIjTp09j+PDhzAx+0qRJAyLwdP+rs7MzeDwe6uvrIRQKu/VZNzclJSUoKirqkDk+kKjVaiQnJzPCLpVKzRIb21PogiofHx+L6Y3XaDTIy8tDZWUluFyunrWvoe2M9ojlYpQ1lXW8vU2FP29UQk1pl+HH+ztj0siuM9PbC3paWhrjxW8JK1JSqRQVFRUoKysDIaSDb0Bffp85OTlYtGgR1q5di3feeccivhss/Q8r6iamuLgY9957L8aOHYvdu3fDzs4OYrEYx48fR1xcHP7880+4u7tj2bJlWL58OSIjI/tF4Ok2rNGjRzP9r4Z81mnRcnFx6TcDnurqaoSFhcHR0XBAR3+jVCqRkpICPp/PFJ+ZIza2p9CDshEjRpi0oKqvlJaWoqioiPkdtm8B093O6KyQr6K5As2y5g63Z5e1ILWwESEBLpgwwrnL87C3soeviy+4HC40Gg3S0tKgVqsRFhZmEYIOaEX95s2b8PHxga+vL/P319jYCGtra2Yw1NMBdn5+PhYtWoSnnnoKH3zwASvodzCsqJuYM2fO4NixY/jkk08M7vW0tbXhxIkTiIuLw7Fjx+Do6IilS5ciNjYWd911l1n2h8rLy3Hr1i2MHz++08Il3bYm3eIxkUjUZaFPb6F7hVtaWvotLMYYdH3cJ06caPB9myI2tqfQ0Zu6gzJLoKioCGVlZQgPD+8wKCOEQCwWMwIvlUo7taztbBmeoghKa6UI8OraHnYwCHpbWxtu3rwJLy8vjBkzRu97ojvArq/X1hLornZ0dV0oKirCwoUL8eCDD+Ljjz+2CBdIloGDFfUBRC6X4/Tp04iPj8ehQ4dgZWWFpUuXMpnwpmhPKigoQEVFBWNFa+zzdINUNBoNI/CmcNTSjSgNCwsbUD9yXXR93MeNG2eUOPcmNran0O1hfcnSNjV0R0BFRYXR9QZSqZQZDNEZDLqrHZ0tw3eHg5UDfF20baUajQapqanQaDQIDw+3iPhi4G9BF4lEGDt2bJffC4qimLbCurq6LtsKS0tLsXDhQixduhRffvklK+gsrKhbCkqlEufOnUNcXBwOHjwIAEwm/IwZM3pcsUtRFLKzs9HU1NSnqu32fctKpRLu7u4QiUS98qNXKpVITk6GQCAwSV+1qTCFj3tn2xndtTV1RXV1NbKysizK7IbeNqmpqUFERESvvlvtVztoy1qNtQZqrrpDvnpnGBJ0OlnQUr5bMpkMN2/ehKenZ7eC3h7dtsK6ujqIxWL8+OOPCA4OxqxZs7B27VrMnz8f33zzDSvoLABYUbdI6Ez4ffv24eDBg5DL5Vi8eDFiY2Mxe/bsbk1lVCoV0tPToVKpTDoT1l1Ora2thUwmY+xqjbHMbGtrY9qwJkyYYDEXIXP4uBuKjaX7lo11abt9+zby8/MREhJidDW5udHNHY+IiDDJtgltWVtbW4uauhrUq+rh6OQIV1fXLk1cHK0dMdx5OCPoKSkpIIRYpKB7eHggMDCwzys3MpkM//nPf3DkyBGkpqbCwcEBa9asYepz2L10FlbULRyNRoPLly8zmfAtLS1YtGgRYmJicM8993S4qEqlUqSnp8PKygohISFmvbjRlpk1NTXMfiltV9t+ZaG1tRUpKSnw8vLq8WzFnPSHj3tnqx1dFY+VlJSguLgYoaGhcHHpuuK7v6BTzZqamsyWO05RFEqrSpFVmoWmpiYQQuDs7My0gdEDQV1BV6vVSElJAYfD6ZGlsLmRyWRISkqCm5ubSVsPa2trsWjRIkycOBGxsbE4cuQIjh8/DgcHB2zZsgUbN240yeuwDE5YUR9EUBSFv/76i0mUq6mpwfz58xEbG4uFCxciNzcXjz32GL788kvMmzevX2fCdFJaTU0NxGKxXvuXVCplZsL+/v4WI+h0b/zEiRPh6enZL6/ZWTgPvUwvEAhQVFSE8vJyg8VnA4VuCEp4eHi3q0V9pbypHK2yVkgkEjQ2NaKxsREqlQpOTk7w8/LDxICJEAqFjKDTAUmWIuhyuRw3b96Eq6srgoODTfadr6+vx+LFixEcHIzdu3czA0KlUonz58+Dz+djzpw5PTrmtm3bEB8fj9zcXNjY2GDq1KnYvn27nokM3WO+Z88evR5z3S2hjRs34vLly8jMzERwcLBBNzhCCD799FN8//33KC0thbu7O9auXYs33nijdx8ISwdYUR+kUBSFlJQUvUx4Ho+HhQsX4ssvvzTaz9wc0M5jNTU1aG5uBgCIRCKMGTPGYuxo6TasSZMmDaiPe/vYWFqoLKln39wWq4ZQaVQorC/8O6KVADK5DCqJCpBqV6ScnJwgl8thbW2N8PDwIS/oTU1NWLJkCUaMGIG9e/ea7PewcOFCPPTQQ4iKioJarcbrr7+OzMxMZGdnM/USa9aswbFjx7Bz5044OTlh/fr14HK5uHz5MnOcjRs3IjAwENevX0d6erpBUd+4cSNOnTqFjz76CBMnTkRjo3bAds8995jkvbCwoj4k2LNnD5566inMnz8fRUVFyM/Px5w5cxATE4MlS5b0S8+5IcrKynDr1i34+Pigra3NbFGoPUG3I8CSZsKEEGRkZDBFY62trQP+WQE9j3Q1Jc1tzahoqWD+7WzjDB8nH3A4HIjFYqSmpkKtVkOj0Ri0rB0IFAoFbt68CWdnZ6M7KIyhpaUFS5cuhUgkQnx8vFk7Rurq6uDp6YnExETMmDGD8W3fvXs3Vq5cCQDIzc1FcHBwj3zbc3JyEBISwmx3sZgHy6gmYekVhBB89tlnePfddxEfH49FixYxmfD79+/H999/j40bN2LGjBmIjY3FkiVLTJIJb8x50cIZGRnJBKDQfvS1tbUoLCxk+rtFIlG/XIgJIYyPe1RUlMX4uOvGgd51112wtrY2S2xsT9FtDxsIi1VnW2c0y5ohVUrhbOOMYc7amgeVSoXs7GzY29sjJCQEGo2G+ayKi4v7ZOLSF2hBd3JyMqmgi8ViLF++HK6uroiLizN7C2hLi9aLn17BSkpKgkqlwrx585jHBAUFwc/Pz6Cod8aRI0cwcuRIHD16FAsXLgQhBPPmzcNHH31kMamHQwFW1AcxtA1mQkICIiMjAfydCf/mm2/ijTfeQGFhIeLi4vDf//4XmzZtwtSpUxETE9PrTHhjziknJweNjY0dhFMoFGLYsGEYNmwY1Go1I/AlJSWwtrZmRMscfvT0ErJUKkVUVJTZ94SNhTZKUSqViIyMZGbCQqEQPj4+8PHxYWJja2pqcPPmzV7FxvYU3eKzgez39nHyQWNbI7wctf7gKpUKSUlJsLKyYuyWeTwe81npthXSe+09saztLQqFAklJSXBycsL48eNN9juRSqW4//77YWtriwMHDpj9e0tRFF588UVMmzYNEyZMAKBtqxQKhR18LkQiEaqrq40+dlFREUpLS7Fv3z78+uuv0Gg02LRpE1auXImEhARTvo07GlbUBzE8Hg+//vprp/dzOByMHj0ar7zyCrZs2YKysjLExcUhPj4er7zyCiZPnoxly5YZnQnfHfRSrVwu71Y4+Xw+vL294e3trTfTSkpKYkRLJBKZZKalVqsZhzFd4RxoaOEE0OVMmM/nQyQSQSQSMbGxtbW1SEtL6zY2tjfQGe20Te5A7lUL+UJG0GmPA2tra4SEhBh8r7pWx7oJfNnZ2dBoNHomLqYaqCiVSiQlJcHBwcGkgi6TyfDAAw8AAA4fPtwvK0vr1q1DZmYmLl26ZPJjUxQFhUKBX3/9FWPHjgUA/PTTT4iIiEBeXh67JG8iWFG/Q+BwOPD398fmzZuxadMmVFZWIj4+HvHx8XjzzTcRGhqK2NhYxMTEICAgoMcXJqVSidTUVHA4HERGRvZoqZbH4xkULfp4tMA7Ozv3WLR0fdwjIiIspn+ZPi/ahMdY4aRnnh4eHgZFS7dVrjdiTAsn3RJpKcVntHDa2tp2at/bHi6XC1dXV7i6uiIwMBCtra2oq6tDUVERMjMz4ebmxnyWvV3Sps/L3t7epIIul8vx8MMPQy6X4+TJk7C379om1xSsX78eR48exYULFzB8+HDmdi8vLyiVSjQ3N+vN1mtqanqUqOjt7Q0+n88IOgAEBwcD0NbfsKJuGizD/cNILly4gKVLl8LHR1ssQzuv0Tz55JPgcDh6PwsXLhyYk7VgOBwOhg0bhg0bNiAhIQHl5eVYtWoVEhMTER4ejmnTpuGjjz5CXl4ejKmjpA02rKys+pyGRYvW+PHjMWPGDGYJMCMjAxcuXEBWVhbq6+tB/S+5qyvoKmRra2uLMiSh916tra371IZFi1ZQUBCmT5/OtJoVFBTg/PnzSE1NRWVlJVQqldHnlZSUBBsbmwGfoevSG0FvD4fDgZOTE0aPHo2pU6ciOjoaLi4uqKysxMWLF3Hjxg2UlJSgra2tx+dlZ2dnUjMlhUKB//u//0NjYyOOHz9u9mJOQgjWr1+PAwcOICEhoUNYEL2KdPbsWea2vLw8lJWVITo62ujXmTZtGtRqNQoLC5nb8vPzAQD+/v59fBcsNIOq+v3PP//E5cuXERERgfvuuw8HDhxAbGwsc/+TTz6Jmpoa7Nixg7nNysrKYsw7LB3dTPi4uDicOXMGY8aMYSJjg4ODO1y4xGIxUlJS4OHhYdZsb0IIMyutra2FWq1mlp0NObTRPu5ubm4mbSvqK7QhCV0dba49Xt1eeIlE0m1srFwuZ/aEzXlePcVcwqmLoYAe+rvVWVEivbdvY2PT64GGIVQqFR5//HGUlpbi7Nmz/dLWuHbtWuzevRuHDh3Smy07OTkxLahr1qzB8ePHsXPnTjg6OmLDhg0AgCtXrjCPLygogEQiwbfffotz585h7969AIBx48ZBKBSCoihERUXB3t4eX3zxBSiKwrp16+Do6IhTp06Z/X3eKQwqUdeFw+EYFPXm5uYOM3iWnkO7oB05cgRxcXE4deoUfH19GYEPCQnBqVOn8Pbbb+OXX34xq6AbOrfW1lamF769QxttR9sXH3dzIJVKkZSUBE9PT5NYhhpLd7Gx9EDD1H3VfYVeOaD3qvtjoEEH9NTV1aG+vp6p7/Dw8GC2f2hB72pvvzeo1WqsWrUKOTk5OHfuHDw8PExy3O7o7Pe9Y8cOPPnkkwD+Np/5/fff9cxndJffZ82ahcTExA7HKS4uZuyXKysrsWHDBpw6dQp2dnZYtGgRPv30U7b63YQMOVE/ePAghEIhXFxcMGfOHLz//vsWY+IxmBGLxTh27Bji4uJw4sQJuLq6oqamBs8//zzef//9AZvZ0Q5tNTU1qK2tZZZPPT09ERwcbDGxm3RgzPDhwzFq1KgB7aNuH6RCp4BZkh8/LeiOjo4m3avuCRqNBo2NjcznBQBubm5oaWmBnZ0dU31vqtd6/vnnkZycjHPnzvVor5qFRZchJep79uyBra0tAgICUFhYiNdffx329va4evWqxewPDgX+/e9/Y8uWLZg2bRpu3LgBJycnLFu2DLGxsZgyZcqAfda1tbXIyMiAm5sb5HI5JBIJk9/t6ek5YFXvzc3NSElJMWlgjClobm5miuLkcjmsrKwY7/7+7O9uj+5WwEAJensIIaivr0d2djbUam3mu7u7O1No15fBo0ajwYYNG3D58mWcP3/ebBkELHcGQ0rU21NUVIRRo0bhzJkzmDt3bv+d3BCFEIJ//vOf+Pzzz3H48GFMnz4dMpmMyYQ/fPgwrK2tmUz4qVOn9ltxWkVFBXJzc/V83GUyGTODb21thbOzMyPw/dWn3tDQgLS0NIwZMwa+vr798prGIBaLkZSUBF9fX4wcOVKv60A3Npbuhe+vGTwt6KZ2ZOsrarUaycnJTJsfbe9bV1enV7Pg4eHRo+8WRVHYtGkTzp49i3PnzrEFYyx9ZkiLOgB4eHjg/fffx+rVq/vnxIYwjY2NWLx4MX744QemKl0XpVKJhIQEJhOew+FgyZIliI2N7VUmvLHQiWZd+bjTfvS1tbVobm5m9pVFIpHZ/OjplYNx48bB29vbLK/RG1paWpCSkgJ/f/8Olc5A57GxdC+8uVZizOWZ3lfaC3r79y+TyZgl+ubmZsbe18PDo0unRIqi8Oqrr+Lw4cM4f/48Ro4c2R9vh2WIM6RF/fbt2/Dz88PBgwexbNmy/ju5IQwhxKiLrVqtxoULF5hMeIVCgSVLliAmJgZz5swxidVlb33clUolI1iNjY2MbzhtV2sKqqqqkJOTgwkTJvRbApwx0FsBI0eONGpW2JvY2N5gqcV6PU2Bo62Q6+rq0NDQwDgltt/SoCgKb731Fv744w+cP38eY8aM6Y+3w3IHMKhEXSKRoKCgAAAQFhaGzz77DLNnz2YMJt59912sWLECXl5eKCwsxJYtWyAWi5GRkWF2v2SWzqEz4ffv34+DBw+itbUVCxcuRGxsLObNm9chE94YdH3cw8PDey3GKpWKmWU1NDQwHusikQj29va9Epfy8nLcunXLopLWAO1KS2pqaq+3ArqLje3tSgztc+Du7t6vXRTdodFokJyc3OtYV9opkRb569evIzs7G7GxsUhPT8evv/6K8+fPIygoyEzvgOVOZFCJ+vnz5zF79uwOtz/xxBP45ptvEBsbi5SUFDQ3N8PHxwfz58/HP//5T73MX2MxVcYwiz4UReH69euMwNfW1jKZ8AsWLDDKOUvXx92U2d5qtZqxq62vr4dQKIRIJOqRH31xcTFKSkoQFhbWwSt7IKH39oOCguDj42OSY0qlUmZA1Nuahba2NiQlJcHDw6Nf2/y6Q6PRMBa+YWFhfd5yoCgKly5dws8//4yzZ8+ipaUFCxYswJNPPolFixb1i2Mcy53BoBL1/sRUGcMsnUNRFJKTkxk/+vLycsybNw+xsbFYtGiRQSHV9XEPCwsz2z69bjBIXV0d+Hx+lyEqulsBERERcHBwMMt59Ya6ujpmb99crVJyuZwReGMjdmlB9/T0xNixYy1K0FNTU0FRlElz2gkh+OKLL/DZZ5/hX//6F3JycnDgwAEUFRVh3rx5+Omnn9gJAUufYUXdSPqaMczSNYQQZGZmYt++fYiPj0dBQQGTCb948WK4uLiguroaGzduxMaNGxEdHd1vlfUURaGxsRE1NTWoq6tj/Og9PT2ZrPq8vDzU1tYiIiLCYiJdAa0/d2Zmpl5XgLmhY2NramrQ2NhoMDaWNuLx8vLCmDFjLFLQTWktTAjBV199hW3btuHUqVOIiopi7svLy8ORI0fw4osv9ur1TLWquHHjRly+fBmZmZkIDg7ukIdeUlJisLCSvd5ZFqyoG0lBQQHGjBmDjIwMTJgwAQkJCZg7dy6ampr0lln9/f3x4osvYtOmTQN3soMcQghyc3Oxf/9+xMfHIysrC9HR0SgsLMSoUaMQFxfXq314U6AbolJTUwOKoiAQCKDRaBAZGWlRgk4X602cOLHf3MnaoxsbSzu0ubi4oL6+Hj4+PhYn6PQqkCnjZgkh+OGHH7B161b8+eefPfJLNwZTrSpu3LgRgYGBuH79OtLT0zsV9TNnzmD8+PHM7W5ubhZj8sTCirpRUBSFZcuWobm5mYkk3L17N5566ikoFAq9x06ePBmzZ8/G9u3bB+JUhxyEEJw+fRoPPvggXFxccPv2bb1MeC8vrwETBXrfVSKRgMvlmiQlzVTcvn0b+fn5FlWsR1EUKisrkZeXB0AbKdsfWefGnltaWhpUKpXJBf2XX37Bq6++iqNHj2LGjBkmOW5X9HVVcevWrTh48GCnop6SkoLQ0FCzvw+W3mEZnpAWDp0xvGfPnoE+lTuOlJQUPPbYY3j++edRUFCA/Px8LF26FHFxcQgKCsL8+fPxn//8B+Xl5UYlypkKelan0Wgwbdo0TJ8+HREREXopaWlpaaiqqmIcyPoLuvo+LCzMYgQd0O6hFxYWwt/fH7NmzWKCULKzs5GYmIiMjAzU1NRAo9H063nRgq5UKk2+5L5r1y688sorOHToUL8IOqD1IQDAeDYkJSVBpVJh3rx5zGOCgoLg5+eHq1ev9vj4y5Ytg6enJ+6++24cPnzYNCfNYjIsI4vSgjF3xjBL56jVajzyyCPYsmUL/vGPfwAARowYgZdeegmbN29GRUUFkwn/xhtvICwsjMmEHzFihNlm8CqVisl6181od3R0hKOjI0aPHg2pVIqamhqUlJQgKyuLaf3y9PQ061IlbcQTHh4OJycns71OT5FIJLh58ybjYMfhcDpkndfW1qKgoIDJOqdb5cz5eVEUhfT0dCiVyj7HButCCMG+ffuwefNmxMXFGezaMQcUReHFF1/EtGnTGIOo6upqCIXCDt0YIpEI1dXVRh/b3t4en376KaZNmwYul4u4uDjExsayPiAWBrv83gmEEGzYsAEHDhwwaA5BL2n9/vvvWLFiBQBtwUtQUBBbOGJC2g+aDEEIQU1NDQ4ePIi4uDgkJiZi/PjxjMCbct9WqVQyfukhISFGLbFLpVKmt1ssFncbg9obCCEoLi5GWVlZj4x4+gNdS9pRo0Z1+VhCiN7nZUxsbG+hWyNlMhmTGW4qDhw4gNWrV2PPnj1YsmSJyY7bHWvWrMGff/6JS5cuMZOQnm4Vdrb83h5CCHx8fCCXy9HU1KR339dff83s7etOhljMDztT74R169YxGcMODg7MiJbOGHZycsKqVauwefNmuLq6MhnD0dHRrKCbEGN6vTkcDry8vPD8889j9erVaGxsZAT+ww8/xNixY/Uy4Xsr8HK5HMnJybC3t+9RopmdnR0CAgIQEBDAxKBWV1cjLy8PTk5OTC98b/vt6Xa6yspKREZGWlTPMy3ofn5+Rtmgcjgc2Nvbw97eHiNHjuzwebWPje0t5hT0o0eP4rnnnsNvv/3Wr4Le36uKHA4H69atw9tvv43vvvuOseIuLi7Gli1b8M0335hc0FUqFVuU1w3snnonfPPNN2hpacGsWbPg7e3N/Ozdu5d5zOeff44lS5ZgxYoVmDFjBry8vBAfH9/j19q2bRuioqKY3t7Y2FimmIhm1qxZ4HA4ej/PP/98n9/nUIPD4cDNzQ2rVq3CsWPHUFNTg5dffhkZGRnMvvfWrVuRlpYGiqKMPm5bWxtu3rwJJycnZi+4N9jY2MDf3x9RUVGYPn06vLy8UFdXh0uXLuH69esoKSlh4mONgRCC/Px8VFVVWZygt7a2IikpCf7+/r32NW//efn4+KCxsRFXrlzB1atXUVhYCIlE0qN6CoqikJmZiba2NpMuuQPAyZMn8fTTT2PHjh1Yvny5yY7bFYQQrF+/HgcOHEBCQkKHtjN60HL27Fnmtry8PJSVlfW5Er+0tBR+fn74xz/+geLiYhBCsGrVKsyfPx9hYWGMsY5IJML//d//ob6+nnnuiRMncPfdd8PZ2Rlubm5YsmQJCgsLmftLSkrA4XCwd+9ezJw5E9bW1ti1a1efzvdOgF1+twCMaUmZNWsWxo4di/fee495nq2trUUts1o6ra2tepnwIpEIy5Ytw/LlyxEeHt6pUEskEqan2lwmKbRnOG1Xa2dnx8zgOxNquvWvvr4eERERA9bmZwha0M0VN6tSqfTc/+jY2O7c/2hBl0qliIiIMKl5UUJCAh566CF89913eOSRR/qtK2Pt2rXMqqJubzq9qghol+WPHz+OnTt3MquKAHDlyhXm8QUFBZBIJPj2229x7tw5ZgIzbtw4CIVC/PLLLxAKhQgLCwMAxMfH46233sKPP/6IQ4cOoaWlBffddx/++c9/IisrC+PHj8czzzyDxx9/HDKZDK+88grUajUSEhIAAHFxceBwOAgJCYFEIsHbb7+NkpISpKamgsvlMtX2I0aMwKeffoqwsDBYW1tbVDiSJcKKugXSviUF0Ip6aGgovvjii4E9uSGCVCrFn3/+ifj4eBw7dgzOzs5YtmwZYmJi9DLhL168iNu3b2Py5MlMgZe5aS9YhsxbCCHIzs5GU1MTIiMj+y1K1hhaWlqQnJxsdGhMX2nv/tdZbCxtcCQWixEZGWlSQb9w4QLuv/9+fPnll3jyySf7tc2ys9fasWMHnnzySQB/m8/8/vvveuYzusvvs2bNQmJiYofjFBcXY8SIEfjll1+wfft2lJaWgs/nIygoCC+//DJWrlyJ2tpajB8/Ho2NjYiLi0NmZiYuXryIkydPMse5ffs2fH19kZeXh7Fjx3Z4nfr6enh4eDBeILSof/HFF3jhhRf6+CndObCiboG0N7oBtH9wWVlZIITAy8sLS5cuxVtvvWVRs7PBCp0JHxcXhyNHjsDa2hrLli3DyJEj8e677+K1117D5s2bB+Tc6FAQ2rxFKBTCw8MDYrEYCoUCkZGRFhVWRAv6qFGj4Ofn1++v31lsrIeHB2pqaiAWixEREWHSz+zq1atYvnw5Pv74Yzz33HMWY6bT37z55ps4ePAgMjMzcf/99+PQoUMdBk5SqRTHjx/HokWLcOvWLbz99tu4fv066uvrQVEUpFIpjh07hnvvvZcR9UuXLmHatGkD9K4GH2yhnIVhqCUFAB555BH4+/vDx8cH6enpeOWVV5CXl9erPXwWfWxsbLBs2TIsW7YMSqUSZ8+exRdffIEffvgBkyZNQnFxMc6ePYsZM2b0e5EOj8eDSCSCSCRiBD4/Px9yuRxCoRDFxcV6drUDCR3rOlCCDgBcLhdubm5wc3NDUFAQWlpaGKtcjUYDDw8PNDU1mSw29saNG1ixYgU+/PDDO1rQAa2ZEP2ZSiQSLF261KAJF718vnTpUvj7++OHH36Aj48PKIrChAkToFQq9R5vSS6NgwFW1C0M2uiGdq6jee6555j/nzhxIry9vTF37lzGOpXFNAiFQkgkEly6dAn//e9/IRKJsG/fPjz33HNQKpVMJvzs2bMHZIZcWVkJoVCIyZMnQyKRoKamBhkZGSCEMEvOA+HO1tTUhJSUlF7HupoDDocDJycnVFRUQCgUMiJfXFzcoRe+N0vxKSkpiI2Nxdtvv41169bd0YLenvDwcMTFxWHEiBEGB08NDQ3Iy8vDDz/8gOnTpwNAh2seS+9gRd2C6KwlxRBTpkwBoF2qZ0XddBw4cABPPfUU/vjjDyxevBgAMHfuXHz11Ve4dOkS9u/fjxdeeAFisRiLFi1iMuHpgiRzQQeNaDQapmLbysoKbm5uIIQwS87Z2dnMjNTT0xNubm5mt6ulBX3s2LEW1ZNMCEFOTo5e3YG7uztGjRrFxMZWVFQgJyenx7GxGRkZWLZsGbZs2YJNmzaxgt6OdevW4YcffsDDDz+MLVu2wNXVFQUFBdizZw9+/PFHuLi4wM3NDd9//z28vb1RVlaGV199daBPe0jAiroF0N7oxlASUntoYwi2EtS0TJs2jWm10YXH42HmzJmYOXMm/vWvf+HatWvYv38/XnvtNTzzzDNYsGABYmNjMX/+fJO3lanVaqSkpIDD4Rj0JW/vztbS0oLa2lrk5+dDqVTC3d0dIpEIbm5uJk+2a2xsRGpqqkUKem5uLhobGw0WEtrZ2cHOzg4jRoyAXC5niuzy8/O7jY3Nzs7G0qVLsXHjRrz66qusoBvAx8cHly9fxiuvvIL58+dDoVDA398fCxcuBJfLBYfDwZ49e7Bx40ZMmDABgYGB+PLLLzFr1qyBPvVBD1soZwF015JSWFiI3bt3495774WbmxvS09OxadMmDB8+3GC1Kkv/QVEUkpKSmEz427dv45577kFMTAzuvffePrccqlQqJCcnQyAQYNKkST2adRNCIBaLmaIxmUwGNzc3iEQiuLu797k+gBb0wMBADBs2rE/HMiW0oDc0NCAiIqJHqyi6rYV0bCztZzB16lQUFBRg0aJFeOqpp/DBBx+wgs5icbCibgF015JSXl6Oxx57jOmv9fX1xfLly/Hmm2/2SjS++eYbfPPNNygpKQEAjB8/Hm+//TYWLVoEwLjsZZaO0C5ldGRsYWEh5s6di2XLlmHJkiVwdnbukQjQlrTW1tYICQnp8z65RCLRs191dXWFSCTq1Z5yQ0MD0tLSEBQUBB8fnz6dlykhhCAvLw91dXWIjIzs07aIWq1GfX09du/ejQ8//BAODg4QCoWYNm0a/vvf/7LOZiwWCSvqdyBHjhwBj8fDmDFjmGjIjz/+GCkpKRg/frxR2cssXUPv5+7fvx8HDhxAVlYWZs6cidjYWCxZsgTu7u5dCrxCoUBSUlKPLWmNpa2tjRH41tbWHvmr04IeHBxsUds/tLtebW1tnwW9PTk5OUyxZHV1NbhcLmJjY7F8+XLMmTPHpD3vLCx9gRV1FgDamMaPP/4YK1eu7FH2Mkv30N7stMCnpKRg2rRpiI2NxbJlyyASifQEvqmpCdnZ2XBycsK4cePMXslO7ynX1NSgpaUFTk5OjMC3F8b6+nqkp6dbpKDfunUL1dXViIyMNKl/Q0VFBebPn8+sWFEUhUuXLiE+Ph4HDhzAiRMnMH78+B4fd9u2bYiPj0dubi5sbGwwdepUbN++XW8LzphVs40bN+Ly5cvIzMxEcHBwl0EsBQUFCAsLA4/HQ3Nzc4/PmcXyYUX9Dkej0WDfvn144oknkJKSgurqasydOxdNTU164Q/+/v548cUXsWnTpoE72SEAIQSlpaXMHvxff/2FKVOmICYmBjExMRCLxVi6dCnefffdfrUapVEoFKirq0NNTQ2ampoY325PT0+0tbUhIyMD48aNs6h4YXrQRPvfm1LQq6qqsHDhQkyfPh0//PBDh5oG+vLZm9+TMfbQxqyabdy4EYGBgbh+/TrS09M7FXWVSoWpU6fCw8MDV65cYUV9iMKK+h1KRkYGoqOjIZfLYW9vzxTi9TSmkaX3EEKYTPi4uDhcvnwZ9vb2iIyMxBdffIGAgIABLcRSqVSMwDc0NDC98CNHjoS9vb1FFIm1T6gzpVFJTU0N7r33XkRGRmLnzp1mbw1sbw9Nxzsbu2rWXWTqK6+8gsrKSsydOxcvvvgiK+pDFDal7Q4lMDAQqampuH79OtasWYMnnngC2dnZA31adxQcDgfDhw/Hxo0b8fXXX8PNzQ1TpkwBIQRhYWGYPn06Pv74Y9y6datHKWSmQiAQwMfHh6lsp13i/vrrL1y5cgW3bt1CS0vLgJwboBX0wsJCswh6fX09li5dipCQEOzYscPsgg5oLXYB7VYYACQlJUGlUmHevHnMY4KCguDn54erV6/26NgJCQnYt28fvvrqK9OdMItFwvap36EIhUKMHj0agDaa8caNG/jXv/6FBx980CzZyyydk5qainvuuQfr1q3DO++8A0BbjHbo0CHs378fH374IQIDA7Fs2bI+Z8L3FNpiNSQkBJ6engD+9qOvra1FcnIy+Hw+PD09IRKJ4OTk1G/nVlRUhIqKCkRERJhU0BsbG7Fs2TKMGTMGv/32m8l7+w1hyB66uroaQqFQ7+8QAEQiEaqrq40+dkNDA5588kn89ttvbKrjHQAr6iwAtBcVhUKhl728YsUKAKbLXmYxzNGjR/HSSy/pOWq5u7tj1apVePrpp9Hc3IzDhw8jPj4en376Kfz9/RETE4Ply5ebpTKepqamBllZWQgJCYGHhwdzu64fPUVRTEJaamoqOBwOI/C6CWmmpqioCOXl5SbPkG9paUFsbCyGDx+OvXv39lvbWmf20Kbg2WefxSOPPMIkPrIMbVhRvwN57bXXsGjRIvj5+UEsFmP37t04f/48Tp48CScnJ6xatQqbN2+Gq6srk70cHR3NVr6biTfffLPT+zgcDlxcXPDEE0/giSeeQGtrK44ePYr4+HjMmzcPIpEIMTExiI2N7TITvqdUV1cjOzsbEydO1BP09nC5XCYFTTchjfaj9/DwgEgkMqkffXFxMcrKykwu6GKxGMuXL4ebmxv279/fb21qndlDe3l5mWTVLCEhAYcPH8Ynn3wCQLttQVEU+Hw+vv/+ezz99NMmey8sAw8r6ncgtbW1ePzxx1FVVQUnJyeEhITg5MmTuOeeewAAn3/+ObhcLlasWKHXRsMy8Dg6OuKRRx7BI488wmTCx8XFYcmSJXBxcWGW6CdPntzrfeCqqirk5OQgJCQE7u7uRj+vfUJac3MzamtrkZOTA7VabRI/+uLiYpSWliIiIsKkgi6VSrFy5UrY2triwIED/ZJP3509tKlWza5evQqNRsP8+9ChQ9i+fTuuXLliUU6ALKaBrX5nMTvdOdjNmjWrg93t6tWr8e233/b3qQ5aZDIZTp06hbi4OBw9epSJk42JicHUqVON3hemBX3SpElwc3MzybkRQtDa2sr0wtN+9J6enj2KQC0pKUFJSQkiIiLg4OBgknMDtJ/dypUrodFocPz4cZN793dGd/bQgLal7fjx49i5cyezagYAV65cYR5fUFAAiUSCb7/9FufOncPevXsBAOPGjTO42rBz5062+n0Iw4q6BdKX3ldLpDsHu1mzZmHs2LF47733mOfY2tqyRT29RKlU4syZM4iLi8OhQ4fA4/GwZMkSLF++HNOnT+90n7iyshK5ubkmFfT2EEIYu9qamhrIZDI9u9rOzq20tBRFRUWIiIgw6fdCLpfjoYcegkQiwYkTJ/r1O9edPTR9fi+99BJ+//13vVUz3eV3Q4NiQLuqMWLEiA63s6I+tGFF3cKhKAocDmfICDwN7WC3atUqzJo1C6Ghofjiiy8G+rSGHCqVComJidi/fz8OHjwIlUqFJUuWIDY2FrNmzWIsYb/99ls4Ojpi4cKFTEtVfyCVShmBp/3oaTc7epZZVlaGwsJCkwu6QqHAY489htraWpw+fbpDlTkLy2CEFXUL45///CdKS0uxbNkyLFu2bKBPx+S0d7AbN24cZs2ahaysLBBC4OXlhaVLl+Ktt94yqTMYi/azv3jxIuLi4nDgwAFIJBImSe7XX3/Ff//7X2ZLZCCQyWSoqalh/OidnZ0hEAiYtDUnJyeTvZZKpcLjjz+OsrIynDlzxmwrEyws/Q0r6hZEdXU1nnzySaSlpYHL5aKlpQWPPfYY3njjDfj6+g706fWJzhzsAOD777+Hv78/fHx8kJ6ejldeeQWTJ09GfHz8AJ/10EWj0eDatWt4++23kZiYiFGjRiEkJAQxMTFYsGCBSfu+e4NcLmfCWQBtgSDdKtfXoBa1Wo2nn34aeXl5SEhI6LK6n4VlsMGKugVx+PBhbN++HevXr8fDDz+MU6dO4c0338TMmTPx8ccfD/Tp9QmlUomysjK0tLRg//79+PHHH5GYmIhx48Z1eGxCQgLmzp2LgoICjBo1agDO9s7gq6++wuuvv46jR4/C2tqaCZypqKhgMuEXLVo0ILUNt2/fRn5+PsLDw2Fra8skyjU2NsLe3p4R+J4OPjQaDVavXo3U1FQkJCSwhkosQw5W1C2IN954A4mJifj2228ZV6mnn34a58+fx4kTJzB27FjmsWq1Glwu1+wJXuZi3rx5GDVqFL777rsO90mlUtjb2+PEiRNYsGDBAJzd0Oe3337D+vXrceLECT3/AYqikJ6ezgg8nQkfExODxYsX9zgTvjfQgh4WFgYXFxe9+2g/+traWjQ0NMDGxoYR+O786DUaDTZs2IArV67g/PnzFpUDz8JiKganIgxB6urqkJWVhYkTJzKCDoCx3aQLmpqamgAAfD6fEXR6XNbc3Iz3338f+/fv7+ez7zm0g50h6EAKS4r2HGrMnz8fZ8+e7WAoxOVyERoaivfffx+ZmZlITk7GlClT8PXXXyMgIADLly/Hzp07UV9fbxbP94qKik4FHfjbjz40NBQzZ87EyJEj0dbWhhs3buDy5cud+tFTFIXNmzfj4sWLOHPmDCvoLEMWdqZuIZw6dQobNmyAWq3Gp59+iunTpyMxMRFr167FrFmzsGfPHvz888/YvXs3ioqKcPfdd+PVV1/FuHHjQAgBh8NBZmYm5s6di3Xr1uHtt99GZmYmrl27hvvuuw8uLi4DVkFvyMFu+/btOHnyJEaOHMnsr7u5uSE9PR2bNm3C8OHDDbbpsAwMupnw8fHxSE1Nxd13343Y2FgsXbq0QyZ8b6Bb6kJDQ3tcga/RaBi72rq6OvB4PNy8eRPBwcGYO3cu3njjDRw9etSgyQsLy5CCsFgEb731FgkPDyerVq0iEydOJBwOh7i7u5MVK1aQlJQU8sUXXxAXFxeyevVqcvToUbJo0SIyf/580trayhxj165dxMXFhVRVVRFCCMnNzSUPPfQQOX/+PCGEEIqiBuS9Pf3008Tf358IhULi4eFB5s6dS06dOkUIIaSsrIzMmDGDuLq6EisrKzJ69Gjy8ssvk5aWFpO9/rZt2wgA8sILLzC3yWQysnbtWuLq6krs7OzIfffdR6qrq032mkMZiqJIUVER+fjjj0l0dDTh8Xjk7rvvJh9//DHJy8sjEomESKXSHv0UFBSQI0eOkPLy8h4/t/2PWCwmpaWl5LHHHiOOjo7EycmJ2Nvbkx07dhClUjnQHx8Li1lhZ+oWQGNjI5577jlYW1vjt99+A6ANlsjLy0NkZCQKCgowdepUvPfee1i7di0AID8/HzNnzsRrr72GjRs3orm5GVu2bEFKSgpu3LjBzN7vdG7cuIEHHngAjo6OmD17NtMLv2bNGhw7dgw7d+6Ek5MT1q9fDy6Xi8uXLw/sCQ8yCCG4ffs24uPjER8fjytXriAiIgIxMTGIiYmBv79/t99Dc7jY0ef27rvv4tChQ4iMjMS5c+cgl8uxbNkyrFy5EosXL2b/RliGHOyeugVw+fJllJaWMn7OarUaTk5OmDx5MnO/QqFgBJ2iKIwdOxaurq7MHnt5eTkuXLjAeERnZGRg27ZtyMnJ6fB6Go1Gzwt6qCKRSPDoo4/ihx9+0NufbWlpwU8//YTPPvsMc+bMQUREBHbs2IErV67g2rVrA3jGgw8OhwNfX1+88MILOH/+PMrKyvD444/jzJkzmDRpEmbMmIFPPvmk00z4yspKswn69u3bsXPnTsTFxWHXrl24ffs2jh49Cjc3N/z888+9FvRt27YhKioKDg4O8PT0RGxsLPLy8vQeI5fLsW7dOri5ucHe3h4rVqxATU2N3mM2btyIiIgIWFlZITQ0tMPr5OXlYfbs2RCJRLC2tsbIkSPx5ptvQqVS9eq8We4MWFG3ENzd3RlRpwvgNBoNuFwu0tPTERwcDEBb/cvlclFVVQUul8uIVU5ODiorK/Hwww8DANLT0/H555+jsLCww2vxeLxeB2oMJtatW4fFixdj3rx5ercnJSVBpVLp3R4UFAQ/Pz9cvXq1v09zyMDhcODt7Y21a9fizJkzqKysxJo1a3D16lVMnjwZ0dHRzECTEIIdO3ZgxYoVmDhxoskF/fPPP8dXX32FU6dOMYWnXC4XU6dOxaefftonD4TExESsW7cO165dw+nTp6FSqTB//nxIpVLmMZs2bcKRI0ewb98+JCYmorKyEvfdd1+HYz399NN48MEHDb6OQCDA448/jlOnTiEvLw9ffPEFfvjhB7zzzju9PneWoQ+b0mYBLF26FEuXLmX+TYs6Lbx8Ph8URaGuro5JzTp69Ch4PB5TKJeQkICRI0fC398fbW1tyMjIQEBAABYuXAgAKCwsxK5du3Dp0iUQQvDEE0/goYceMjpMY7CxZ88eJCcn48aNGx3uq66uhlAo7GALKhKJUF1d3U9nOLThcDjw8PDAM888g1WrVjGZ8HFxcfjkk0/g5+eHsrIybN261eSC/p///AefffYZTp48aXAG3FdOnDih9++dO3fC09MTSUlJmDFjBrMStHv3bsyZMweA1s89ODgY165dYzoOvvzySwDazpf09PQOrzNy5EiMHDmS+be/vz/Onz+Pixcvmvw9sQwd2Jm6BdDdUvgzzzyDtrY27Nq1Cy0tLYiPj8ebb76Ju+++G9HR0SgtLUViYiIzEygoKEBqairCwsLA5/ORmZmJhx56CN999x0WLVqE0NBQfPzxx3j++ecBAMnJyVAqlR1ed7CWW5SXl+OFF17Arl27+iVCk6VrdDPhDx8+jJ9++gmlpaW466678N577yE0NBRvvfUWkpKSQFFUr1+HEILvv/8e27Ztw7FjxxAVFWXCd9E5LS0tAMBU7JtrJaigoAAnTpzAzJkz+3bCLEObgajOY+kZGo2GfPPNN8TLy4u4urqS8ePHk5UrVxKVSkUIISQuLo44ODiQW7duEUII+f3330lwcDA5cuQIIYSQBx54gERGRpKcnBzmmJmZmWTHjh2EEEKWL19OHnroIb3XNLZSXq1WD1hVfWccOHCAACA8Ho/5AUA4HA7h8XjkzJkzBABpamrSe56fnx/57LPPBuak7xAOHTpEbG1tycGDBwkhhIjFYvLHH3+QBx98kDg4OBB/f3+yYcMGcvbsWdLa2mp0xbtEIiH/+c9/iIODA7lw4UK/vR+NRkMWL15Mpk2bxty2a9cuIhQKOzw2KiqKbNmypcPt77zzDpk0aVKnrxEdHU2srKwIAPLcc88RjUZjknNnGZqwoj7IyMzMJKmpqcy/m5qayLPPPksmTpxICNG2ar322mskNDSUyOVyQgghjo6O5LvvvmPEl/4vff/zzz9PFi5cSAghTMtPaWkp2bVrF1EoFAbPw9DtliLwra2tJCMjQ+8nMjKSPPbYYyQjI4M0NzcTgUBA9u/fzzwnNzeXACBXr14dwDMf2shkMjJy5EgSHx9v8H6pVEoOHDhAHnvsMeLs7EyGDRtGnn/+eXLixAnS0tLSpaB/9913xN7eniQkJPTre3r++eeJv78/KS8vZ24ztaiXlZWRrKwssnv3bjJs2DCyfft2k5w7y9BkaG6oDjEIIaAoCjweD+PHj9e7j6Io1NTUYP78+QC0rW5paWmYPHkyrKyskJWVBY1GgwkTJjDVvhwOB4QQxqVOrVbDy8sLUqkUdnZ2qK2txbPPPovKykpERkbq2dPS7Nu3Dy+88ALmz5+PZ599FrNnz7aY4jsHBwc9Vz4AsLOzg5ubG3P7qlWrsHnzZri6usLR0REbNmxAdHR0B4c1FtNhbW2NzMzMTgNZbG1tERsbi9jYWMjlcpw9exbx8fF49NFHwePxsHTpUixfvhx33303k7tOCMG+ffuwefNmxMfHY/bs2f32ftavX4+jR4/iwoULGD58OHO7l5cXlEolmpub9eo2ampqeuU1T4c5jRs3DhqNBs899xxeeukli/l7Y7Es2D31QQCHw2H+gEm7fW5XV1ccOnQI/+///T8A2iKwrKwspkBHKBQiICAAV65cAQBmz1K3nScsLAw5OTlMOMbbb7+N2tpa7N2716CgK5VKpjXIyckJ9913HxwcHLB06VKcO3fOxO/ePHz++edYsmQJVqxYgRkzZsDLy4tNhesHjE1Ys7a2xuLFi/HTTz+hqqoKv/32G/h8PlatWoVRo0Zh7dq1OHnyJPbv34/169dj7969zMDW3BBCsH79ehw4cAAJCQkdHOoiIiIgEAhw9uxZ5ra8vDyUlZUxHS69haIoqFSqPtUesAxxBnSdgKXPaDSaDkveVVVVzH47IYRs3LiRzJ49m2RlZRFCCKmpqSGEaJfLCSHk888/J2FhYYQQQnbu3EmcnJzI4cOHO33N0tJS4urqSnbv3k0IIUSlUpELFy6Q+++/n3FtM3RedxKGXOxmzpxJAOj9rF69euBOchCiUqnIuXPnyLp164inpycBoLeN0h+sWbOGODk5kfPnz5Oqqirmp62tjXnM888/T/z8/EhCQgK5efMmiY6OJtHR0XrHuXXrFklJSSGrV68mY8eOJSkpKSQlJYXZ2vrtt9/I3r17SXZ2NiksLCR79+4lPj4+5NFHH+3X98syuGBFfYhhSEgLCwvJ4sWLiZWVFZk+fTrZuHGjng3rRx99RJ555hnyySefkKioKPLWW291+Rr79+8nfD7f5Oc+VPjrr7/IiBEjSEhISAdRf/bZZ/WEwJR2uHcaarWaHDt2rN9ft/3AjP6hC08J+duG2MXFhdja2pLly5cz9s00hgZ5AEhxcTEhhJA9e/aQ8PBwYm9vT+zs7Mi4cePIhx9+SGQyWT++W5bBBmsTewdRXV2No0ePwtHREQ888ABjJZuQkIAnn3wSTU1NePHFF7F582a4uLgYtJqVy+V46aWX8M0332D+/Pm4//778fDDD8PW1pZ5jEwmw5dffomnn34aHh4ees+nKGrQxsUag0QiQXh4OL7++mu8//77CA0NZaxpZ82apfdvFhYWFlMzdK+uLAwURYGiKHh5eeGZZ57BAw88AACM3SSHw8Ht27cRFRWF9957j3GpM2SjWV9fj3379uH111/HzJkz8a9//Qve3t6YMmUKkpKSAGj33Pfu3YtPPvmkw/N1BV2tVpv8vQ40nbnY0ezatQvu7u6YMGECXnvtNbS1tfXzGbKwsAxl2Or3OwDd3HVCCPNvoVAIAPjmm28QHR2NDz74ABwOBxqNptPK2hs3bqCxsREvv/wynJyc8MorryA7OxuHDx+Gvb09AG0G/D333MP4qFdVVeGDDz7A1atXsX//fqawSNfNTq1Wg8fjDeqAja5c7ADgkUcegb+/P3x8fJCeno5XXnkFeXl5bIEeCwuLyWBF/Q6Cw+EwopmdnY33338fAHD69GmcPn0akZGRANCpoKvVahw+fBjR0dFwcnKCWq0Gn8/HhAkTOrSQPfzww/j111/x3Xff4dtvv4WVlRVee+01BAQEoKSkBBs3bsTjjz+O2bNnw83NbdDb1dIudqdPn+7Uxe65555j/n/ixInw9vbG3LlzUVhYiFGjRvXXqbKwsAxh2OX3OxR7e3uIxWIIhUIcO3YMkZGR3drClpeX4/Dhw5g2bRoAGBRi+hi+vr6wtrbGRx99hPHjxyMhIQErV64EoB1QXLp0CV999RVWr14Ne3t7vPrqq3qBGLrHGwyJcklJSaitrUV4eDj4fD74fD4SExPx5Zdfgs/nG3wPU6ZMAaC1/2RhYWExBayo36H4+fnhyJEj2LlzJ6ZOnQrA8B66Lvb29pg3bx4TyLFp0yYkJyfrPYbD4SAzMxNbtmxBaWkpfHx88P333zOFdAqFAleuXIFMJkNUVBQ+/fRT7Ny5E7t378b58+cB6Pfi6/boW3Jv7ty5c5GRkYHU1FTmJzIyEo8++ihSU1MNrn6kpqYCALy9vfv5bFlYWIYqbPU7S6/4448/8NNPP+H06dMICAhAYmIifHx8cPHiRTz66KMICQnBokWLGMEODAwEAJSVlWHFihUIDg7Gr7/+CkAbaPPQQw+htbUVJ0+eBACIxWIcOXIE169fx+zZsxEbGztQb7XX6Fa7FxYWYvfu3bj33nvh5uaG9PR0bNq0CcOHD0diYuJAnyoLC8sQgZ2psxgNRVFMxfoDDzyAkydPgqIo/Pe//4Wbmxt+/vlnLFy4EMuXL8fx48fx2GOPoaKiAkVFRcwx8vPzkZ6ejtWrVwPQtsjxeDw4ODgwx05PT8dTTz2FTZs2oaqqChs2bMCMGTNQUlJi8Lw0Go3FL9ELhUKcOXMG8+fPR1BQEF566SWsWLECR44c6dNxt27dytRK0D9BQUHM/XK5HOvWrYObmxvs7e2xYsUK1NTU9PXtsLCwWCjsTJ2lV2g0GhBCOuyr5+TkIDAwkKmwf+qpp1BdXY0///wTUqkUn332GbZt24bGxka9grJx48ZhyZIl+Oijj3D//fejvr4eb7zxBubNm4e6ujrMnz8fCxYsYOxw1Wo18vPzMWbMGMYH/E5k69at2L9/P86cOcPcxufz4e7uDgBYs2YNjh07hp07d8LJyQnr168Hl8vF5cuXB+qUWVhYzAg7U2fpFTwez2ChXHBwsF4v+sKFC6FUKlFSUoLm5mbcuHEDcrkc+/btYx5z8eJFlJSUYOHChZDJZDh16hSeeOIJptfbw8MDU6ZMQXZ2NlQqFSoqKrBu3To8+uijcHNzw8yZM3H48GFQFDVoM+D7Ap/Ph5eXF/NDC3pLSwt++uknfPbZZ5gzZw4iIiKwY8cOXLlyhWk3vJPYtm0boqKi4ODgAE9PT8TGxiIvL0/vMcasbGzcuBERERGwsrJCaGhoh9c5f/48YmJi4O3tDTs7O4SGhmLXrl3mfGssLAysqLOYlQcffBBnz57FiBEjcOvWLVy9ehVbtmzB+fPncfDgQWzfvh2PPfYYlixZgjlz5uDkyZNwcnLCxIkTmWMoFAp4eHigoqICAoEAhw8fRnx8PP7973/j+vXrmDp1Kr7++mtkZGSAw+Hg2rVrkMlkHc7F0pfoe8utW7fg4+ODkSNH4tFHH0VZWRkAbUW+SqXSM8IJCgqCn58frl69OlCnO2AkJiZi3bp1uHbtGk6fPg2VSoX58+frdV1s2rQJR44cwb59+5CYmIjKykrcd999HY719NNP48EHHzT4OleuXEFISAji4uKYraTHH38cR48eNdt7Y2Fh6H9nWpY7CTqfXaFQkG3btpFhw4YRjUZD3nrrLeLt7U0CAwPJ1q1bSV1dHSGEkEOHDpHg4GBy8+ZN5hhFRUVk6dKl5LHHHiOEEPLLL78QT09PUlFRwTzmxIkTTIgNh8Mh7777LtFoNJ2eF0VRQyJw5vjx4+SPP/4gaWlp5MSJEyQ6Opr4+fmR1tbWHud632nU1tYSACQxMZEQQkhzczMRCARk3759zGNycnIIAHL16tUOz+8uB12Xe++9lzz11FMmOW8Wlq5gZ+osZoXe766urkZcXBzmzJkDLpeL9957D5WVlbh06RLeeecduLm5AdD2bovFYly8eBGAtr1tx44dKCgowKOPPgoAmD17NqZNm4aYmBj88MMPAIAFCxaAz+cjOTkZVlZWmDt3rt42QGxsLFJSUph/6xrxDGa72kWLFuH+++9HSEgIFixYgOPHj6O5uRl//PHHQJ+axdPS0gJAG18MmHdlo6WlhXkdFhZzwoo6S79gbW2NgIAAPP744wC0e5cA4O7urhccIxKJ8Prrr+ODDz7AzJkzsWLFCmzfvh2bNm3CwoULAWiNbX755Rc88sgj+PTTT7F161bmeD///DPGjRuHMWPGMK99/vx5HD58GNXV1QC0Ffj/+c9/mOX49rUBZBDvyzs7O2Ps2LEoKCiAl5cXlEolmpub9R5TU1MDLy+vgTlBC4GiKLz44ouYNm0a44ZYXV0NoVAIZ2dnvceKRCLmu9Mb/vjjD9y4cQNPPfVUX06ZhcUoWFFn6Rc8PT3xxx9/MLMg3cr39qY3a9aswbVr1zBr1iyMGzcOZ8+exbPPPova2lp8/fXXSEtLg4ODAzZt2oT33nsPX3zxBcRiMQBg//79WLJkid6s6LfffsPMmTMxfvx45t8bN27Er7/+ilmzZuGDDz5gnk+fDxkkTnbtkUgkKCwshLe3NyIiIiAQCHD27Fnm/ry8PJSVlSE6OnoAz3LgWbduHTIzM7Fnzx6zvs65c+fw1FNP4YcffmC+fyws5mRwG26zDDnoWfKoUaPw7rvv6t2nVquRlpaGHTt24IknnkBUVBSOHDkCgUAANzc35OTkoLm5GXPmzNGbfZ86dQqrVq2Cp6cnAK3XvUAgQFFREWJiYlBaWorm5mZYW1vj2rVr8Pb2xujRozv1wLck/vGPf2Dp0qXw9/dHZWUl3nnnHfB4PDz88MNwcnLCqlWrsHnzZri6usLR0REbNmxAdHQ07rrrroE+9QFj/fr1OHr0KC5cuIDhw4czt+uubOjO1nu7spGYmIilS5fi888/Z1aoWFjMzoDu6LOwdAJFUUStVne4vampiXz22WckJCSE+Pv7kwceeIDExcURQgj5+eefyYgRI8iNGzeYx1+6dIk4ODiQU6dOEUIIyczMJBwOh/z22296xz979iyZO3cumTJlCnF0dCSBgYHk8OHDZn6XfefBBx8k3t7eRCgUkmHDhpEHH3yQFBQUMPfLZDKydu1a4uLiQmxtbcny5ctJVVXVAJ7xwEFRFFm3bh3x8fEh+fn5He6nC+X279/P3Jabm9urQrlz584ROzs78p///Mdk58/CYgysqLMMWlpaWohYLGb+nZ6eTkaPHk1+/PFHQggh169fJ/PmzSORkZGkpKSEEKK9EI8aNYo0NTUxz6uqqiIBAQHk888/J62traSpqYls27aNREdH61XYs2h55513CAC9n8DAQOb+mTNndrh/9erVA3jGWtasWUOcnJzI+fPnSVVVFfPT1tbGPOb5558nfn5+JCEhgdy8eZNER0eT6OhovePcunWLpKSkkNWrV5OxY8eSlJQUkpKSQhQKBSGEkISEBGJra0tee+01vddpaGjo1/fLcmfCijrLoIKewRtqV1Or1eTll18mdnZ25O677yaPP/444XA45P3332cu3OPHjyebN2/We962bdsIh8MhS5YsIfHx8YQQQlQqFZkyZQrZvXu3+d/UIOOdd94h48eP1xMsuiWREK2oP/vss3r3t7S0DOAZa2k/0KB/duzYwTzGmJUNQ4MWAKS4uJgQQsgTTzxh8P6ZM2f235tluWNhbWJZhhxSqZRpbVu8eDG+//57LF++HLm5uZg0aRLOnTuHqVOngqIocLlcjB07FlFRUfDy8sLhw4dRV1eHSZMmoby8HI899hjee++9gX5LFsXWrVtx8OBBJmWuPbpBNiwsLP0LW/3OMmQg/6tYt7Ozw/Tp0zF58mRUVVVh/vz5AICDBw+Cx+MxbnVcLhdyuRwcDgczZszAp59+itzcXJw5cwbTp0+Hi4sL81wWfTpzsaPZtWsX3N3dMWHCBLz22mtoa2sboDNlYbmzYGfqLEMWjUajV8FOURSys7OZvmRCCCiKwtq1a/HXX3/h4sWLsLe3H6jTHTT8+eefkEgkCAwMRFVVFd59911UVFQgMzMTDg4O+P777+Hv7w8fHx+kp6fjlVdeweTJkxEfHz/Qp87CMuRhRZ3ljic7Oxtr166Fn58fnnnmGXh4eKC1tRXjx49nRd4Impub4e/vj88++wyrVq3qcH9CQgLmzp2LgoICjBo1agDOkIXlzoFdfme5oyGEYNy4cdi+fTskEglWrlyJRx55BH/88Qfq6+sH+vQGBboudoaYMmUKAHR6PwsLi+lgzWdY7mhoN7spU6Ywy8NpaWmwsbHBiBEjBvDMBg+0i93//d//GbyfLqjz9vbux7NiYbkzYZffWVig3W+nKMpgRjyLPoZc7FJTU5GdnY3W1lbs3r0b9957L9zc3JCeno5NmzZh+PDhSExMHOhTZ2EZ8rBXMBYWaCvhdVPdWDrn9u3bePjhh9HQ0AAPDw/cfffduHbtGjw8PCCXy3HmzBl88cUXkEql8PX1xYoVK/Dmm28O9GmzsNwRsDN1FhYWFhaWIQI7NWFhYWFhYRkisKLOwsLCwsIyRGBFnYWFhYWFZYjAijoLCwsLC8sQgRV1FhYWFhaWIQIr6iwsLCwsLEMEVtRZWFhYWFiGCKyos7CwsLCwDBFYUWdhYWFhYRkisKLOwsLCwsIyRGBFnYWFhYWFZYjAijoLCwsLC8sQ4f8DLqCQePW7iCwAAAAASUVORK5CYII=\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install plotly"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "YtQZsMhKdfsY",
        "outputId": "631f05bb-4d4b-4bbc-8270-cee38877a505"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Requirement already satisfied: plotly in /usr/local/lib/python3.10/dist-packages (5.13.1)\n",
            "Requirement already satisfied: tenacity>=6.2.0 in /usr/local/lib/python3.10/dist-packages (from plotly) (8.2.2)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import plotly.graph_objects as go\n",
        "import numpy as np\n",
        "from scipy.optimize import curve_fit\n",
        "\n",
        "# Define a quadratic function for curve fitting\n",
        "def func(x, a, b, c):\n",
        "    return a * x**2 + b * x + c\n",
        "\n",
        "# Fit a quadratic curve to the data\n",
        "popt_4to_basico, _ = curve_fit(func, exposure_4to_basico, scores_4to_basico)\n",
        "popt_II_medio, _ = curve_fit(func, exposure_II_medio, scores_II_medio)\n",
        "\n",
        "# Compute standard deviations\n",
        "std_dev_4to_basico = np.std(scores_4to_basico - func(exposure_4to_basico, *popt_4to_basico))\n",
        "std_dev_II_medio = np.std(scores_II_medio - func(exposure_II_medio, *popt_II_medio))\n",
        "\n",
        "# Create a range for x values\n",
        "x_range = np.linspace(15, 55, 400)\n",
        "\n",
        "# Create a range for y values (years)\n",
        "y_range = np.arange(2012, 2020)\n",
        "\n",
        "# Create a grid from x and y ranges\n",
        "X, Y = np.meshgrid(x_range, y_range)\n",
        "\n",
        "# Compute Z values for 4to Basico and II Medio\n",
        "Z_4to_basico = func(X, *popt_4to_basico)\n",
        "Z_II_medio = func(X, *popt_II_medio)\n",
        "\n",
        "# Create the figure\n",
        "fig = go.Figure()\n",
        "\n",
        "# Add the surface traces\n",
        "fig.add_trace(go.Surface(x=X, y=Y, z=Z_4to_basico, name='4to Basico'))\n",
        "fig.add_trace(go.Surface(x=X, y=Y, z=Z_II_medio, name='II Medio'))\n",
        "\n",
        "# Add the scatter traces for each data point\n",
        "fig.add_trace(go.Scatter3d(x=exposure_4to_basico, y=np.arange(2012, 2020), z=scores_4to_basico, mode='markers', name='4to Basico data'))\n",
        "fig.add_trace(go.Scatter3d(x=exposure_II_medio, y=np.arange(2012, 2020), z=scores_II_medio, mode='markers', name='II Medio data'))\n",
        "\n",
        "# Update the layout\n",
        "fig.update_layout(scene=dict(\n",
        "                    xaxis_title='Policy Exposure',\n",
        "                    yaxis_title='Year',\n",
        "                    zaxis_title='Normalized Test Score'),\n",
        "                  autosize=False,\n",
        "                  width=700,\n",
        "                  height=700)\n",
        "\n",
        "fig.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 717
        },
        "id": "1vdgHOPvdkFB",
        "outputId": "3be2f061-967d-428b-e36c-b4fb26900130"
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    {
      "cell_type": "code",
      "source": [
        "import plotly.graph_objects as go\n",
        "import numpy as np\n",
        "from scipy.optimize import curve_fit\n",
        "\n",
        "# Define a quadratic function for curve fitting\n",
        "def func(x, a, b, c):\n",
        "    return a * x**2 + b * x + c\n",
        "\n",
        "# Fit a quadratic curve to the data\n",
        "popt_4to_basico, _ = curve_fit(func, exposure_4to_basico, scores_4to_basico)\n",
        "popt_II_medio, _ = curve_fit(func, exposure_II_medio, scores_II_medio)\n",
        "\n",
        "# Create a range for x values\n",
        "x_range = np.linspace(15, 55, 400)\n",
        "\n",
        "# Create a range for y values (years)\n",
        "y_range = np.arange(2012, 2020)\n",
        "\n",
        "# Create a grid from x and y ranges\n",
        "X, Y = np.meshgrid(x_range, y_range)\n",
        "\n",
        "# Compute Z values for 4to Basico and II Medio\n",
        "Z_4to_basico = func(X, *popt_4to_basico)\n",
        "Z_II_medio = func(X, *popt_II_medio)\n",
        "\n",
        "# Create the figure\n",
        "fig = go.Figure()\n",
        "\n",
        "# Control table\n",
        "# Format: [visible, opacity]\n",
        "control_table = {\n",
        "    '4to Basico data': [True, 1],\n",
        "    '4to Basico surface': [True, 0.5],\n",
        "    'II Medio data': [True, 1],\n",
        "    'II Medio surface': [True, 0.5],\n",
        "}\n",
        "\n",
        "# Add the surface traces\n",
        "fig.add_trace(go.Surface(x=X, y=Y, z=Z_4to_basico,\n",
        "                         name='4to Basico surface',\n",
        "                         visible=control_table['4to Basico surface'][0],\n",
        "                         opacity=control_table['4to Basico surface'][1]))\n",
        "\n",
        "fig.add_trace(go.Surface(x=X, y=Y, z=Z_II_medio,\n",
        "                         name='II Medio surface',\n",
        "                         visible=control_table['II Medio surface'][0],\n",
        "                         opacity=control_table['II Medio surface'][1]))\n",
        "\n",
        "# Add the scatter traces for each data point\n",
        "fig.add_trace(go.Scatter3d(x=exposure_4to_basico, y=np.arange(2012, 2020), z=scores_4to_basico,\n",
        "                           mode='markers', name='4to Basico data',\n",
        "                           visible=control_table['4to Basico data'][0],\n",
        "                           opacity=control_table['4to Basico data'][1]))\n",
        "\n",
        "fig.add_trace(go.Scatter3d(x=exposure_II_medio, y=np.arange(2012, 2020), z=scores_II_medio,\n",
        "                           mode='markers', name='II Medio data',\n",
        "                           visible=control_table['II Medio data'][0],\n",
        "                           opacity=control_table['II Medio data'][1]))\n",
        "\n",
        "# Update the layout\n",
        "fig.update_layout(scene=dict(\n",
        "                    xaxis_title='Policy Exposure',\n",
        "                    yaxis_title='Year',\n",
        "                    zaxis_title='Normalized Test Score'),\n",
        "                  autosize=False,\n",
        "                  width=700,\n",
        "                  height=700)\n",
        "\n",
        "fig.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 717
        },
        "id": "QzowvHqMe5yQ",
        "outputId": "030e1122-8aa4-428f-a1fc-66f78b652968"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
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