Tabnet_training.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "source": [
        "!pip install pytorch_tabnet"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "VzEue9Pc8V2u",
        "outputId": "49ef0004-9d12-46fa-811a-b4df6d83a9b6"
      },
      "execution_count": 85,
      "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: pytorch_tabnet in /usr/local/lib/python3.7/dist-packages (4.0)\n",
            "Requirement already satisfied: tqdm<5.0,>=4.36 in /usr/local/lib/python3.7/dist-packages (from pytorch_tabnet) (4.64.1)\n",
            "Requirement already satisfied: scikit_learn>0.21 in /usr/local/lib/python3.7/dist-packages (from pytorch_tabnet) (1.0.2)\n",
            "Requirement already satisfied: numpy<2.0,>=1.17 in /usr/local/lib/python3.7/dist-packages (from pytorch_tabnet) (1.21.6)\n",
            "Requirement already satisfied: scipy>1.4 in /usr/local/lib/python3.7/dist-packages (from pytorch_tabnet) (1.7.3)\n",
            "Requirement already satisfied: torch<2.0,>=1.2 in /usr/local/lib/python3.7/dist-packages (from pytorch_tabnet) (1.12.1+cu113)\n",
            "Requirement already satisfied: threadpoolctl>=2.0.0 in /usr/local/lib/python3.7/dist-packages (from scikit_learn>0.21->pytorch_tabnet) (3.1.0)\n",
            "Requirement already satisfied: joblib>=0.11 in /usr/local/lib/python3.7/dist-packages (from scikit_learn>0.21->pytorch_tabnet) (1.1.0)\n",
            "Requirement already satisfied: typing-extensions in /usr/local/lib/python3.7/dist-packages (from torch<2.0,>=1.2->pytorch_tabnet) (4.1.1)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 86,
      "metadata": {
        "id": "ZJwJacy7nIzo"
      },
      "outputs": [],
      "source": [
        "from pytorch_tabnet.tab_model import TabNetClassifier\n",
        "\n",
        "import torch\n",
        "from sklearn.preprocessing import LabelEncoder\n",
        "from sklearn.metrics import roc_auc_score\n",
        "\n",
        "import pandas as pd\n",
        "import numpy as np\n",
        "np.random.seed(0)\n",
        "import seaborn as sns\n",
        "\n",
        "import os\n",
        "\n",
        "from pathlib import Path\n",
        "\n",
        "from matplotlib import pyplot as plt\n",
        "%matplotlib inline"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "a5qLghec8bSA",
        "outputId": "2f230377-3bf4-4884-d035-59c84d7a339c"
      },
      "execution_count": 87,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "train = pd.read_csv('/content/drive/MyDrive/CSV/Training.csv')\n"
      ],
      "metadata": {
        "id": "b9JSqtGCoTwH"
      },
      "execution_count": 88,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "test = pd.read_csv('/content/drive/MyDrive/CSV/Testing.csv')"
      ],
      "metadata": {
        "id": "qevDo0NPARUr"
      },
      "execution_count": 89,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(28,28))\n",
        "cor = train.corr()\n",
        "sns.heatmap(cor, annot=True, cmap=plt.cm.Reds)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "q46TYZB38jPb",
        "outputId": "466842fd-bb75-4143-a768-671a8ac1dd88"
      },
      "execution_count": 90,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2016x2016 with 2 Axes>"
            ],
            "image/png": 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On1ak3X8bs3PJTbhj7ofdOwiMeA53ydyImE3PMyAzHXfUjZiuJ+Gcdw3em0/Blg24Tw8Dz4NKVQnc/SLu0nngeXhzf4BpEwkMGBadOA/iSMedbWpW5uPL+5AUF+SDxWt5dsYynjv72NjFu2Yr63el8fX1Z7N46w4/jwecXqTdoGNb0aNR7XAe/xiRx2e1bsB9p3eLWYwYh8AVQwg9P9LP5XtewFs8F7YWFMqdE8/AZqTj3n8dpnsfAhdei/vqE+A4BK/9O6E3n4ZNa6F8xfzxmTvuccj299OBG+/FdDsJOz/6F4LgOFQccS+7b7keLyWZqm99SO70KbhrV+c3yfl2Itnj/f4r/qS+VLjt7+y5/UZsbi4ZY18i2LQ5wWYtoh9bMaZtSGX9nky+vuIkFqfs4eHpv/LhhT2LtOvbuJY/5nx/esTjY38OjznbNWTVznRumjSfPo1Ojl3AjkPSbXeTMeJm7PZkyr/8LqFZUyP31auWk3tzf8jJJu6vl5B4w21kPXK3vzE3h4wbDnzsGsuYy8KYyLTs5B+j/uMOOKYZgb9egzv2oSLtAn8dhPv5a7BpNc7VIzAtOmJ/94/5vZlfY2dOinyC4xC45GbcT17xL3pJqgBuKLrBl9G8qHL3A6TefC1ucjK13v2Y7KmTCa0p6C+yvvoPmZ98CEBin75UHn43O4ZeD0Bo0wa2X37BUQ152uotrN+Zxtc3ncfiLak8/PU8PrzmrCLtBvVoS4/Gdfz9yLvfM231Zno3q8/YmUvo16YRl3dryartu7npoyn0aX50P4PIn9GhljaaBezbs7cDlgJpxpiqxpgEoA3+bASACsaYT4wxy40x74ZP6GOM+dEY090Y8wSQZIxZaIx5N7ztKmPMvPBjY40xgcJvbowphz8j4BZrbQ6AtTbZWvtRePs6Y0wNY0xjY8wKY8w74RgbGGPuMsYsMcYsCr83+712N2PMVGPMAmPMN8aYugf7Iqy1vwEhoIYx5vPw85YZY24Iv96BPt/VxpjF4RgKX37a2xgzyxizxhhz8SF+B1G3avosMnfuOtpve1BO8zbYbZuxKVvBDeHOnkyge6+INjZ1G3bDmgNe0WOatITKVfEW/3S0Qmbymm2c16Yhxhg61a1GWk4e2zOyI9okxQXp0cC/SiY+4NC2VmWS0/2D5PqVytOqZmUcE9s4TZtu2F/Cg/CNqyCxHFSMvIKNilX8KzY2+kUN+8t0TNvu+Zudc67G+ypyhggbfofsDL/9hlVQKQYnKwpxWrbF27LJv+I2FCI07TuCx/eOaOMuXgA5OQB4y5fi1IjdVfGFmbbdsT+HT3ZsXAVJh/Ed/zwN0y78HedkFbSLTyj0JAsJ4TptfCJkpvsnMqJs8roUzmtV38/lOlVJywkVyWWATnWqUrP8AerGBtLz/AF6em6IWuUSiraJEqdVO7wtG7HbNvt58OO3BHtGnkhxFxXkgfvbUpwatf0NoZBfRACIiwfn6Kzu57Roi7d1EzbZz113+vcEe0Tmrk3Zhl23ukj/5jRogrtsIXgu5GTjrVtNoGvRA+5YMy07YxeHr8LevMbvRyoUvYKQzWvyr9w+mpyW7fbrH74l2PNg/cOSiP7BXfTTUS/OBFq3x9u8EbvVz+W8yV8Td+LJEW3chT9Bjv+3GPp1CU5NP2anUVMIBP0iAkBWVn67WDDtjy2YDbXhd0gqf+A+LrGcvx2wC6Zi2h/nP7/dsdif/Fk29qcp+Y9HvEeXXthfZkQ/9hYdscvm+j9sXQeJSVC+UtGGW9dBxt6ov/9/Y/LvmzmvXWO/T65XnbTsPLanZ0W0SYoL0qOhnw/xgQBta1clOa0gh1+csZTBx7UmIRgxtI4K07gldvsWSN0Gbghv/jScTpH9kul0PHbO9wDYn2dgWnc69AuHiwg4AQgEIZq1sUYtsKlbYUeyH/OCaZgOPSJj7tDDLwwAduFM/yQXQF5Owb43Lh5socBWL4PMtCgGWrwjHXf2aFCTpDj/GrKOdarmPx6zeFcVzuMaxedxo9rheIvmcayZJi2xKYVzeSpOp8jZ2qZTz0K5PB3TurP/eNtu2M1r/SIC+FdF79uHh4sIOAEIxhHdZC4QbNsBd9NGvC2bIJRH9neTiO/dN6KNzcgo+CxJSQX5m51FaNHP2NzcmMRWnMnrkjmvZT0/L2pXOWAeA3SqXeXAY078sab/3zxqFdMmWoruq78heMLJEW3chfPz98Hur4sxNWvHNKZDKStjItOmG3ZheL+/aTUklocK+40tKoSPnzb5J7vtwhkRx6gHfN3mHbDbNhbMnM1Kj+y3o6As5kV8+46ENm7A3ez3F5nfTCLx5FMj2kT2F+WIVd91uCav3Mh5HZr4/UX9mqRl57I9PTI3k+KC9GhcBwjvR+pUI3lvQZv0XP/YLz0nj1oVko5e8P/DHKN/JflXFh10RoK1dosxJmSMaYg/+2A2UB+/uLAHWGKtzQ3XDLrgFxu24M9kOBGYUei17jbGDLXWdgYIX+F/GXCitTbPGPN/QH+g8Ly75sAGa+3hHNm1AAZaa+cYY84CzgN6WGszjTERZzjDyyW9BJxnrd1ujLkMeAy4trgXN8b0ADz8ZY6utdbuNMYkAT8ZYz49wOdrB9wHnGCtTd0vhrpAL6A1MAEotWWO/jCq1sDumyYM2B3bcZq3ObznGkPcVX8jd8xjBNrH8Kql/aSkZ1Gn0M6odoVEktOzih307s3J5cc12xjQOfrTsg+qcjXs7h35P9o9O/2T/mmFVgSrVA27d2ehNjv85QXwB3ns3XnQZYvMsSdjVy6MfuyF36N6LWxqckGMqSk4rdoV2z54xl8JzZ8d05jyVTrM73jPzog2plDxxTnjMkzX3pCdifvqKL/NrG8wA0cQGPkyJCThvfdC1AfCACkZ2dSpUJC3tSskkpyRU2wu729o9+YM/s9PvLtkPVl5Lq//tehJwmhxqtfC216QB15qCoHW7YttH9fvPEI/FSxDYmrWJmnU8zj1GpDz2guxn40AmOo1samF+rdD5G5h3trfibviOvLGvwcJiQQ6dMXbeIAlZWLMVKyKV6iPYO8u/8RxKRQNDsT/jkvQP5x5FPuHYpiatSKWXvO2pxBo26HY9vHnXEBo3kwAnAaNsOlplBv1HE7d+oQWzCF73AsxKTQC4f1Iwd+K3bMDKleP7OMqV4/sB3cX7EeoWKWgbdruokWIuHhM6854n0UuyRENpkJlvMJxpu32T0yUoGhgWnbGNGgOO1PwpnwS+bljICU9izoVC40vKib544tiDoD3Zufy4+otDOjmX1X8a/Iutu3NpE+zerzx04roB1ilOuwqlA+7UjFNWkU0MVWqF8xi9Dz/pNS+Ak71OgRHvoTNysT78h3sqmX5zwvc8gimcUvssgXYn6NXWDL7xczuHf77FG5TuTrsy3PPg6wMP+aMvdCoJYH+t0G1mnjvPBe7v7WDiOa487Nl6zmpcWxPaqWkZVGn0NJJtSsmkZx2iDxetYUB3VrmP/btyk3M37SdxlUrctcpXagb7aWYqtSAwrNti8vlnYXzws9lU7s+WEvg1kcxFSvj/TQV79uCQ7rArY/i5/J87ILoF0kBnFq1ccNLpQB4KcnEtetYpF3ixVdQ7oqrIS6OPUOKPdw9KlIycormcUnHnBPn8+7S8JjzL7GbVQNgatTCSyk8vkgm0Kb4cWf82efn76v9B+Ip//K7WDdE7vtvEpr5Ywyj9ZWZMVHFqv54Iszu3QmVqkJ64eOnqvsdo+7EVCxY6s85/nTo0gu7eS3eV+/6RbzqdQCLM/DvmPKV8BbPxs6YGNXQy2Je7N9fuMnbiG9ftMhf/tIrqXDVNRAXR+qN1+Q/Hqh/DDXf/wybkcHeMc+T+8uCmMeckp5FnUrl83+uXbF8eD9y4H2Bvx/ZzIBjWwMwtHdHBr8/mXfnryArL8TrV5x6wOeJSMkcamkj8GclnBD+9xx+IeEE/EJCod6QedbaTQDGmIVAYwoVEg7gVKAb/ol4gCQg5SDtD2W9tTZ8aR6nAW9aazMBrLU792vbCmgPfBd+7wCwlQMbZoy5Cv/+DJdZa60x5lZjzL45UQ3wixg79nveKcDH1trUA8TweXh5pF/DSzXJEQicfj7ewrmwc/uhG5eSkOdx51fzuapzUxpULn/oJ/xRxMXj9D0f9/XilykxTdvidO97wKmopSXYtx+BFm3Iuuum0g7lsHnffgjffuivGd7zTLzvP/Gvhty6HvfVR6B6bQLX3Yv7wvLIGQx/ABNXbeX8VscwqHMTFm7bxV0/LGLCZSfhmNItsQdPOYtAizZkjrgh/zG7PZnMm6/AVKtB0kPPEpr+A3b3/ruIPw534TycFm1IfGoc7N2Nt3xpqZzA+jPJ7x/+Xnb6h7jTzyHQqi0Zt4VPAAUCBDt0Ie36y7Ap2yj3wFPE9TuPvEnjSzfQw7VfQdS0645duyL6yxpFgV29BLt8PrghTKdeOGddjffRi6UdVr6Q53Hnf+ZwVdcWNKhSAc9anpyykNFnxa6ge0T27iR070D/6u2GzQneeD+hR27Kn43gvnS/vyb9tX/HtOqEXf5LKQcctn4l7ughUPsYAgOG4f66IOrrbUfTwcadE5ZvZGnKbt65qFcxzz76Qp7HnV/O5qpufh4D9G1ej3PaNCQ+GODDhasYOWkub17e9xCvdBQ5AUzzdv59EXJzCAx/HLNhFXa5f2GN++J9fi5f93dM607Y30ovl7M/eZ/sT94n4YxzKDfoJtJGjSy1WI6UP+asz6BO4THn5MVMuLRXqY85AeJOOxunZVuyhxWs7Jx+xdnY1O2YuvUp/+w4Mtauwm7ZVIpRRiqLY6J9vLnfwxR/3OOcejHOWf3xxr/q/202aon78gOQl0tg0D14W9Zh1yw7xCvGRlnLi4yP3iPjo/dI6nculQbfzK4H7sZNTSH5rFPw9uwmrk07qj33T1IuPjdiBkNpC3ked34+g6u6t6JB1YoATFy2jvM7NmVQj7Ys3LSduybMYsIN5/4h+guRsuxwCgkz8QsHHfCXDdoI3AHsBQrfUSan0P+7h/HaBnjbWlt0kd0Cq4CGxphKhzEroSS9mAGWWWsPZ32If1hrn8l/ojEn4xcqeoZnO/zIQe4RUYzC39UBe7Hwkkk3AJxEAm2JL+FblDG7UjHVC6ZUmuo1sbsO70php0U7nNYdCZx+HiYxCQJx2OwsQh+Mi3qY7y1aw8dL1wHQoXZVthWaop2cnk3tYq6yevCHhTSqUoGruzSPekwHYo4/HefYUwCwm9b4V1OFbzdhKlfzZxgUtjfy6nhTuTrs2QnVakPVmgRue9LfUKkagVtG4465z78SuU5DnAtvwH3rCX/ZnRiyO1IwNQrqbqZGLeyOosWjQOdjib/sGrLuujmmB/nm+DNwjtv3Ha8+vO+4cuHv+ABtAPvLDJxBd8P3n2C698H7MXx/9x3J2F0pULNe/vTeI/He0vV8/Ku/NnSHWpXZll4wrTw5PZva5Q9/eaJPf9vEuHP9acad61QlN+SxKyuX6jFY4sjbkUJcoanBTo1aEVf77xPochzxV1xL1p03FCxnVIjdmeovE9S+C6EY37zY7tiOKTRlvLjcLU7ex2+T97F/Q+mEOx7Gbo7tTc33Md37Yrr4U+HtlnWYStUKrt6tVDXmV2WXhP8dH27/MMgvMpbySUC7PQVTs07+z07NWthCs232CXTrQcJVg8m47br8XLbbk3FXrfCn1AN5M6YQaNuBaH4ic2I/nB7+uvx24ypMlRr5v39/H7Hf9RN7dvhXfe9rUyW8H4GCWQj7/rvfTBbTuVfBEnzRiL1Lb0zHE/3Yt67HVKxSkLsVq0Re7Xgo2QXDS7t4JqbP+VGLs7D3fv6djxf7s4061K3KtrRC44u0rOLHF9/Mp1HVClzd3b+KOyM3j99T9zDwA38pqdSMbIZ8NoMxF/aK3g2Xd++AqjXyfzRVa/iPFWJ378BUrenPUnEcf8m/fbNAQuGlgDaswqZuxdQ6BhteEsvfnoe3aLa/PFKUCgl+PAUxUyVyBg2EZ9pUCX8Wx/GX8Np/5kryJmxOFtRtlL9UYSxFe9w5a0MK4+at4O2LTyI+Bste+XnsrxHeoU41thVaXiI5LYvaFTBK+HkAACAASURBVA+WxxW5unvBbIAqSQVjiIs7NuXZH2NwH7TdqVC14Ea9xeZytRr+rKxCuWx3pWJ/X5qfI3bJT5iGzfILCUA4l+f4uRyDQoKXkkygdsHqvE6t2rgH2I/sk/PdJCrcFcP7mRXjvaXr+fg3/yRph5qVw3nsX1Ve4jHn8s2MO8efgZ4/5szOpXpSbJbVtKkpOLUKjy9q420/wPiiaw/i+19H5rDBEeNOm+q3tVs3E1o4n0Dz1oRifML4jzwmMj1Ow+nuFwTt5jWYytULxhaVqvkzXgvbu2u/Y9RqkBZuU6h/9uZPITDgjvBzdmLXrcg/NvVWLoJ6jSGKhYSymBf79xeB2nUO2l9kfTORKiMf9H/Iy8Pb44+d8n5bhrtpI8FGTcj7dWnU43xv/go+XujvXzvUq862vQXjsOS0jOL3I5Pm0qhaRa4+rmBVi08XrWbc5f7xeudjapLruuzKzKF6jJdEE/mzO5wFomcB5wI7rbVu+Mr6KvjLG8066DOLygsvKwTwA3CxMaYWgDGmmjGmUeHG4RkFrwMvGGPiw+1qGmMuOcT7fAcMCt9jgf2XNgJWADWNMT3D2+PCSxEdjsrArnARoTVQeCHNwp9vMnCJMaZ6MTEclLV2nLW2u7W2+5++iIB/c1RT5xj/pEogSKDnKbgLZh76iUDemEfJueVScm69nLx/v4w7/ZuYFBEAruzUlPH9T2F8/1M4tVldvvhtA9ZaFm3dScWE4AGn5b4w61fSc/K4p0/xS1ZEm53zHe5L9+C+dA/21/mYLif5Gxo096d87n8CMG23f5V7A/+A03Q5CfvbAkjeiPvYTbhP3Yr71K2wdyfuSyP9k0CVqxO4ahjuR2P8tWVjzFv5G079BpjadSEYJNj7dNy5kTdhdJq2JGHo3WSNGoHdE9v7gNg53+K+eDfui3djl833lyWCw/+Ou/bG/jrf31a94GSiadfdX3saYPcOnObhabIVKmNq1IOdRzJxq8CV7Rsx/tJejL+0F6c2qc0XKzb7ubxtV7G5XJy6FRKZs8k/8F69K50c16NaUmz6LW/Fr+E8qOfnwclnEJqzXx40a0XirSPJenB4RB6YGrUK7kFRoSKBdp3wNq2LSZwRMf/+G069gtwNnHQaobmHedLUcaCivxyIadwMp3Ez3F/mxS7YQuz8KXivPoz36sPYFb9gOoZvwF2/qZ/jf5BljQC8lb+Gv+NwXvQ+A3dO5HfsNG1Jwi33kDXqzpj3D4fDXbGMwDENMXXqQzBI3Cn9yJsVeTNOp3lrkobfT+bI2yJmzrjLl2EqVMRU9k/EBLseF3GDv2iwM7/Gfe5O3OfuxC6dh+kWvhdJwxbF93HZmf52wHTrg13q37fILpuPOdY/cWCO7YtdVuh+RonlMM3aRj52pLH/Mg3v7cfx3n4cu2oRpl14Lfy6jf1+uCT3Qih8P4XmHWFHbPZ3V3ZtwfhrzmD8NWdwavP6fLFsnd8nb9lBxYS4Ay4H88L0Jf744pQu+Y9VTIhn1tDz+f7Gc/n+xnPpVK96dIsIgF2/ElOrHlSvDYEgTvfe/s2WC7dZPBdzvF+IMl17YVeETwJXqAQmfPhRow6mVj3/3gUJiX6BEsBxcNofF3Ej5CO24XdMzUIxd+uNXRLZl9olc3F6+MsemM4nYleGY65eu+CeOlVrYmofE7V98aFEc9z5a8puHp68kH/+5fiYFPphXx6fyfhrzuTUFoXzOPXQeXxql4jHC99PYcqqLTStXjHq8dp1++dyH7xF++fynEK5fBJ2+SL/8V8XYOo3hrgEcBxMyw7YLRuK5nKHY2FbbE4Qhn5bSqBBQ5y69SEYR+LpZ5M7bUpEm0CDhvn/H39iH9yN62MSy8Fc2b4R4y85kfGXnMipTWrxxcotfl4k76ZifNyRjzkTY3es7C5fhlO/IaZOvfC++kxCs3+MaOM0b0XS8HvJum8Ydneh8UWFihDnnxowlaoQaN856vvqA/kjj4ns3O9xx9yLO+Ze/2+oc3hm1DHNICezaKE/PXz8dIy/RJvp3Ms/RoWI+ymYtt2xyf7fmf19MaZ2g/z7oZkmrSFlc1Q/R1nMi9xlSwg2bESgnt9flDvzbLJ/nBzRJtCw4HRc4kknEwr3F07Vqvn7wUD9Ywg2bERoUxT30YVc2b0V4wefw/jB53Bqy2P4Yslav7/YvJ2KCfEHXNbohR8Xkp6Tyz2nR94/o26l8sxZ54/bVqfuISfkUi2G9/IT+V9xODMSlgA1gPf2e6zCvmV7SmAcsNgY87O1tr8x5j7gW2OMA+QBQ4D9Rzf3AY/iLwOUjT/z4IGDvYm19mtjTGdgvjEmF5gEjCy0PTd8k+MXjTGV8b+H54HDKVN/DdxkjPkNvyBReLS5/+d7DJhqjHGBX4BrDuP1Y+66996g5cm9qFCjOo9v/I0vHxzNrDf+degnxpLnkvfW88Tf8ww4Du6Pk7Cb1hG8+Fq8tcvxFszCNG1NwvBHoHxFAl1PwF4yiJwR15RayL0b12baumT6vf0dicEgj51ecAB0wbuTGd//FLalZTH2p5U0rVqBi97zB/b9OzXl4vaNWbJtF7dOnMve7DymrN3GP+cs58sB0V+3z674BdOqM4E7n4e8HNxPxuZvC9zyOO5L/qQg94s3CVx8E8TFY1cuxK44+D0PnFMvhHIVCJwXXmrD83DH3Bv1+PN5LjkvP0PSIy+C45D33Zd4G9YSf9UNuL//hjt3OvHX3QKJ5Ui8x1+KyW7fRvaoEbGLKcyu+AXTujOBES/43/HHr+RvC9z6BO6LdwPgfv4GgUtu9r/jFQXfsXPWFX6RwHrY3al44/11wr0fPsO55GYCtz8FGP+G1zG4qWPvhjWZtn47/d6bSmIwwGN9C9bXveCjGYy/1B/kPzN7ORN/30J2yKXvO5O5qE0Dhh7bgr+f0JoHpy7lncXrABh9SgdMrKaMei7ZY56m3OiXwAmQ9+0EvPVriL/6RtyVv+HOmUbC9bdCUhJJ9z0BgE1JJuuh4TgNm5Bw/e34Nw4z5H7yb7x1Rz6743Bizh37LIkPPQ+OQ+j7/2A3riXuyuvxVv2GO28GTvM2JIx8AlOhIsFje2GvHEzW0P4QCJL0uJ9PNiuDnOce9m+8fLStWoxt3gFnyOMQysWb8Eb+Juf6B/FefRgAc+rFmPY9/GXRbnsa+8t07LQJsY/Pc8l5+WmSHg33D99+ibdhzX79w62QmETiPY8D+/qHOwFIemocToNGkJhEuXe+JOf5x3B/nnOwdzxyrkvWC49T/umX/Zi/+hxv3WoSBv0Nd8UyQrOmknTzMExSOco9/LT/MZO3kXnvbeB5ZL/8HOWfGwfG4K78ldz/fBqzUO1vP2PadCVwzxi/j/tgTP62wPBncJ/zv0f301cJXD7U7+OW/4Jd/rMf9+TPcK6+A+e4U7G7tuO982z+802HHtgViyA3h5hYswzbtB3O9Q9BXi7eV//O3+QMvAfvbT8fTJ/zMW26Q1wczk2PYhfPws6ahOl6MqZ5R//vLjsT76vYj5d6N63LtDVb6ffqJBLjgjx2VsEa4Be89S3jrzmDbWmZjJ3zG02rVeSit78DoH/X5lzcsWnM48PzcD94meAtj4Lj4M36FrZuwDn3KuyG37GL5+LN/IbANXcSfPg1bGYa7uv+zEbTogOBc68CNwTW4r73T/+q0YpVCNz8ICYYB47BW7EYb/qkqMbsffwKgb89DMbBm/M9bNuAc3Z/P+al87Czv8NcPZzAA2MhMx33zaf8mJu2xTn94vyYvY9eyS9GOdfciWneASpUIjDqTbxJ72HnfBe9uAs50nHnMzOWkZnrMmySX0CpV7EcY/56/AHfKyrx5ufxRD/eQsttXfDWN4y/5kw/j2f/Gs7jb/14uzTn4k7N+NeC35myajNBx1A5MYHRZ/co7q3+e/ty+bZHwQngzQzn8l8GYNev9HN5xjcErh1B8JHXsRlpuK/5Ywsy03G//4zgSP/+Vd7Sn/ziacUqBIY85OeyMXgrF+NNi+767Plcl/RnHqPyi+MwjkP2l+Nx166m3A1DCf22jNzpU0i85Erij+0JoRBe2l7SHi5Y1qja+G8x5Stg4uKI73MKe269AXdtbMdFvRvWZNqGVPq9P80fc55cUPC64OOZjL/En032zOwVTFwVHnP+awoXtT7GH3P2DI85l/inDEb3jeGYE/xx50tPUu7J/8MEHHK/+gJv3RoSrrkZd+WvhGZNJfHGYZBYjqQH/T7DS9lG1n23E2jUlMRh9/rL+RlD7vtvHpUTxmVlTGRXLsS07ERg+LOQm4v7WcGFgIEhj+UfV7oT3iJw0Q3hY9RF2JV+Mc/pdzmmTiPAYnel4n0RHptmZ+LN/IrATaP8bSsXRf9efmUxL1yX3U8+Qo3/ex0ch4wvPiW0ZhUVb76FvF+Xkj11ChUu609Cj57YUAi7dy+77vePYeO7Hkulm2/BhkLgeex+7CHs3thfUNS7WX2mrdpCv5e/8MdD5xYsKHLBaxMZP/gctu3NYOyspTStXomLXvfHDf27t+Tizi34+6ldefCrubwz7zfAMPrcnrHtL0T+Rxgbgxt3SnTdZCqVqV/SPy7vcuhGfzDxJ8XuQCoW7Majs7RJNGUvPgoDpChL7NCktEMoEVOnzqEb/cFkfhWbGxDGkpMQd+hGfyCJx7Yt7RBKLGv2ktIOocTczBidCI+R8t2OzlJ70VQW+ziqRm8mwNHgLYj9zROjzcRgiZ5YMm3KXp9MQtm7gtObF71ZTkfD7oVlb2xf7fLTSjuEEsv4ctqhG/2BOIlla8wJkNi15aEb/cFkziqd+yf8t9J2/bHul3c46tzev7RDKLHAwPtVdfgvDA9ULlPnL0vbc+6eMpdnh7O0kYiIiIiIiIiIiIiI/I9SIUFERERERERERERERIqlQoKIiIiIiIiIiIiIiBRLhQQRERERERERERERESmWCgkiIiIiIiIiIiIiIlKsYGkHICIiIiIiIiIiIiJll2NMaYcgMaYZCSIiIiIiIiIiIiIiUiwVEkREREREREREREREpFgqJIiIiIiIiIiIiIiISLFUSBARERERERERERERkWKpkCAiIiIiIiIiIiIiIsUKlnYAIiIiIiIiIiIiIlJ26Wr1Pz/9jkVEREREREREREREpFgqJIiIiIiIiIiIiIiISLFUSBARERERERERERERkWKpkCAiIiIiIiIiIiIiIsVSIUFERERERERERERERIoVLO0ARERERERERERERKTsckxpRyCxphkJIiIiIiIiIiIiIiJSLBUSRERERERERERERESkWCokiIiIiIiIiIiIiIhIsVRIEBERERERERERERGRYqmQICIiIiIiIiIiIiIixQqWdgByaP+4vEtph1Aiwz74pbRDKLFXXp9Q2iGUmLd2cWmHUCKBR+8r7RBKzNu+s7RDKJHA8b1KO4QSc5LmlXYIJZbQsXlph/Cnl9iqfmmHUGLe3ozSDqFETMWKpR1Cidm9e0s7hBLL+n5uaYdQItvW7y7tEEqs6RUnlXYIJZI7fU5ph1BicTUqlXYIJea0alHaIZRI5ZBb2iGUmN1ZtsbJAPH1qpR2CCUSbFCntEMoMW/b9tIOocQClZJKO4QSiUvPKe0QSsydPqO0QyixwMDSjqBs0tXqf376HYuUQWWtiCAiIiIiIiIiIiJllwoJIiIiIiIiIiIiIiJSLBUSRERERERERERERESkWCokiIiIiIiIiIiIiIhIsVRIEBERERERERERERGRYgVLOwARERERERERERERKbuMMaUdgsSYZiSIiIiIiIiIiIiIiEixVEgQEREREREREREREZFiqZAgIiIiIiIiIiIiIiLFUiFBRERERERERERERESKpUKCiIiIiIiIiIiIiIgUK1jaAYiIiIiIiIiIiIhI2aWr1f/89DsWEREREREREREREZFiqZAgIiIiIiIiIiIiIiLFUiFBRERERERERERERESKpUKCiIiIiIiIiIiIiIgUS4UEEREREREREREREREpVrC0AxARERERERERERGRsssxpR2BxJpmJIiIiIiIiIiIiIiISLFUSBARERERERERERERkWKpkCAiIiIiIiIiIiIiIsVSIUFERERERERERERERIr1P3GzZWNMHeB54FhgN5AM3G6tXVnC17kdGGetzYxCTCcDudbaWUf6WgfidDqOuKtvAcfBnTKR0IT3Ire37kjc1bdgGjYl98VRePOmRr5AUjkSn34bd/4M8t56IRYhlsiA18fQ4dx+pKVs55EOx5d2OABYa3nsqWeZOnMWiYmJPPHwA7Rr07pIu0nffMfLr7+J57qc3LsXI267BYCfFvzM6Gf+wYrfV/Hc44/S7/RTj3r8o19/n2k/LyExIZ7RQ6+lXbNGRdrl5oV49LX3mLd0BY5juP3KCzijZ7ejFud/m8umRm3ihz8KxkAwSOibz3C/nxCTGE377gSvuBmMgzv9a7yvPoxsEIwjcN0InEYtsBlphF55DHYkQyBAYOBwTKPmGCeAO/t7vEkfABD35DvY7CzwPPBcQo8MjUnsEM6FCdOYtmI9SXFBRl96Gm3r1yrS7obXv2B7WgYh19KtST3uP78PAcevR/975iLen70Yxzj0adOYO88+MWbxBrr0IH7w7eAECH33JXmf/Stiu9O2M/HX3YbTuBk5zzyIO3tK/ra4gX8j2O0E/3e16CdyX/tHzOIEcM6+CtOiE+Tl4I5/FbauL9qobmMCF14PwXjs74vwJv3bf+4lQzA16vhtEstBdibuy/djOvbEOfHsgufXboD7ygOwbUNMP4s58wpM8w6Ql4s34Y0Dvp/pewGmwwmQVA7vySExjQfAtO6Cc8F1YBy8ud9jf/gsskEgiNP/NswxzSAzDfftZ2DXdihXEeeaEZiGzbHzpuB99mr+U5yz+2O6nwzlyuPefWX0Yy7j/QWAOas/pkVHPxc+f62YvG6Ec/5giIvH/r4Y+9W7/uN1GuKcOxCCceC5eBPfgc1rox6jc/YATMvw395n4w4cY73GBC68wf/bW7kIb1JBX2J6nI7T4zSwHnbFIrxvP4BAAOev12LqNwFr8Sb+C7tuedRjD3TvSeJNd0LAIe+rz8n96O2I7XEX9ieu33ngutg9u8h+bhQ2ZRumVh2SHnjGv8tdMEjeFx+RN/HTqMd3IOV69abmvfeBE2DvJx+x69WxB2xX4YwzqfviGDZcfD45S5dS7oQTqX7HCExcHDYvj9SnniBr7pyYxWn6XVkod1+HbcXk7nmDIS7Oz92vw+OO2g32y91/wZZw7jZqhdPvSnACkJmG9/aTUY+9LI7tTZuuOBddD46DN/s77HefRDYIBnEGDMc0aAYZabhvPgU7U6BRCwKXh/sxY/AmvYddHLu8iIi570WYJm39HPnmXUjZVLTNiedg2h4HCeXw/jkiclvLLpieZ4G12NTN2EnvRD/G/3I/4vQ4BaffJQWvc0wTQqP+ht24BufYPjjnXAGOg108F/eT16Mac0z6ZIDaDQj8dRAkJoG1uK88CKG86Mbe8ViCA4aCE8D9cSLul+9HbDetOhI3YAimQTPy/jkK76dp/uMNmxE3aBgklff3zV+8izd3yoHeInqx/mUgplVnyM3F/eRl2LKuaKN6TQhccpO/f16xEO/LyH2M6XUOgXOuIvTIDZCZBglJOJcNwVSpAU4Ab/p/sAumFn3dEjLtuhO84ib/e53+Fd5XH0U2KJzH6XsJjR0dzuO+OGful8ePDMFuXAOBIIErh+C06gjWEhr/FvbnGUcc64GUpeORfeKP70WFO+4BJ0D2F5+Q+c5rEdsTL7yMchdfgfU8bGYGaY8/hLt2NXHH9aTCkOH5++r0l54hb/7cmMQYi7wI3v4YVK4GTgD7+1Lcd/8J1otJ/CL/C/70hQRjjAHGA29bay8PP9YJqA2UqJAA3A78GyhSSDDGBKy1bgle62QgHYh+IcE4xA26ndzRd2B3bCfhsbG4C2ZiNxcM2GxqCrmvPE7wnMsP+BJxl1yHu3xx1EP7b81+611+/Oc4rnnnwAempWHajFms27CRb7/4lEVLlvLQ6Cf5+F9vRrTZtXs3Tz3/Ip+9+w7VqlXlrvsfYvbcefTscRx169bh8Ycf4I13/l068f+8hPVbU/h6zGgWrVzDqHH/5sMn7y3SbuynE6lWuSJfj3kMz/PYk55x9II8gly2u3aQ88Df/IOJhCQSnn4Td8FM2LUj6jEG+w8l79m7YVcqwftfwls4G7YWnGR1TuoHmenkjRyEc9zJBC6+DnfsaJzuvSEujtCDN0J8AnGPvOofYOxIBiD09AhI3xvdeA9g2or1rE/dzdcjBrB4QzIPj/+RD4deWqTdc/3PokJiPNZabv/3V3yzeBVnd27J3NWbmPzrGsbffiXxwQA70o+41lo8xyH+xjvJfvA27I4UEp9+ndC86dhN6/Kb2NRt5Lz4KHHnR54Edlq1J9C6I1m3Xw1A4uhXcNp3wVv6S0xCNS06QvXauC+MgGOaEfjLNbjjHi7SLvCXgbhfvAGbVuMMuAPToiP298V4H48piP3MK7A5/vdqF8/GXTzb31DrGAJX3hbzIgLNO2Cq1cYbMxLqN8U5ewDeG48VaWZXLsL+NBlnyOjYxgNgHJyLbsB95SHYvYPAsKdwl86D5IKTPub40yArA3f03zBdeuH85Wq8d56FUC7eV+9j6jbE1GkY8bLesp9gxiQCI8cQdX+C/oIWHf1cePEuOKYZzjlX4732SJFmzrkD8b58y8/r/sOxzTvAqiU4p1+K9+PnsGoJtOiIc/pleG89EdUQTYtO/t/e83eG//YG4Y57qEi7wF+uwf389fDf3p35f3umSRtMm664Y+4FNwTlK/mv260vAO4/R0L5SgQG3Ik79kGwNnrBOw6JQ+4i854h2NRkyr30DqE50/A2FBRbvNXLybzlE8jJIe7ci0gYfCvZo0did6aSOWwQ5OVBYhLlx35IaPZU7M7U6MVXTMw1H3iIzdcOJJS8jYYff0bG5B/IXb0qopkpX54qAwaStXBh/mPurl1sufkG3JQU4lu0oP5rb7K2T6/YxNk8nLsv3e33Y+cMwHv90aIf55yr8b58EzavwblyWGTuTv3Cz93mHf2f337SP8l2zgC8fz8He3dCuYrRj70sju2Ng3PJTbhj7vf76BHP4S6ZC9s2FjTpeQZkpuOOuhHT9SSc867Be/Mp2LIB9+lhfnG0UlUCd7/o9+9ejE/8NGmLqVIT741HoG5jnFMvxXv/uSLN7Jpl2IXTcQbdH7mhSk3McafjffAPyMmCpArRj/EI9iPe3Ml4cyf7L1O/McGhD/knX8tXJHDJ9eSNGgLpewhcOwLTpjP2t4XFRVGykGPUJ+M4BC6+CffTsf44KKmCvz2ajENw4G3kPTECu3M78aNewVswC7ulUCFkRzJ5Y58kePZlkc/NzSHvlcexyZuhSnUSHh1LzpJ5kBmbYynTqjNUr4P7zDBo0JzA+dfh/t/9RdoFzr8W97NXYeMqnGvuwrTshF25yN9YuRqmRQfsru0Fr9vzDEjZjPvOM36uDH8Od+EMcEty6mP/YB2C/YeQ99w9fh7f9xLewjmRedzrTMgI5/GxfQrl8ZT8goyp35jgkAf9PAYC51wBabvJu+86/2Ky8jHoj6FMHY8Ujrni3+9j19DBeCnJVH37Q3KmT8Fduzq/Sc43/yH7M78wGX9SXyrc/nf23HYjdvdu9tzxN7zU7QSaNqfKi6+y49y+0Y8xRnkReuUxyPaPo4I334/T/SS8n468GCYHpmVv/vz+F37HfYE8a+0r+x6w1i4CZhhjnjbGLDXGLDHGXAb+TAFjzI/GmE+MMcuNMe8a361APWCKMWZKuG26MeZZY8wioKcx5gFjzE/h1xwXLmJgjLnVGPOrMWaxMeYDY0xj4CZgmDFmoTHmpGh+YKd5G+y2zdiUreCGcGdPJtA98qDMpm7DblhzwEqsadISKlfFW/xTNMM6IqumzyJz567SDiPCD1Oncf65Z2OMoXPHDuxNSyNle+TB+sbNW2jUsAHVqlUFoGeP4/jmB38Hd0y9erRu2QLHKZ0/w8nzFnLeyT39+Fs1Y29GJik7dxdp99kPM7jhQv/qZ8dxqFopRgOyAziiXHZDBVckxcWBic33bJq2wqZsgdRt4Ibw5k3F6XJC5Ofo3BNv1ncAePOn4bTpEg7eYuITwXEgLh5CofxBztE0edkazuvWBmMMnRrVIS0rh+17ix7kVEiMByDkeeS5Ln4PBx/MXsLgk7sRHwwAUL1CuZjF6rRoi7d1EzZ5C4RCuDO+J9gjsgu1Kduw61cf+EqT+HgIBv0rSoMB7O6dMYvVtO6KXTjT/2HTan9WQYXKkY0qVIaEJH87YBfOxLTuWvS12h93wKsxnY7HY5fE5oqgiPdv2Rm7OFz33rzmwJ9l37b0PTGPB4CGLbCpW/0T6W4I75cZmPbHRTQx7Y/Dm+f3uXbRLL+4A5CbA2t/g7zcoq+7fiXsjc3+5s/QX/w/e/cdHlWVPnD8e+5MGiQhhRRKpPcOUkQFAVHEArYfCi4KKupaVpG1r2JD17bq2tBVsYBiryigKEV6Db13SCGFBAhJ5t7z++NMyqRIEiYJ7L6f5/ExM3Nm5p3hzLn3nvcU1aYbek0l6/WaYvVaa1RQiHmtoBB0tv+/a9WuO3r1gqIYQyry21uAamdm26leg9DzfijqkDpqEjQqthF6x4bC+/TxY9CwmV9jt9p0wDmwF520HzwePL/Pwn1Wf58y9poVkJtr/t64Dqt+nHnA4zFJBDB1pIbOL4I7dyF/z248+/ZCfj7ZM36k7qDzS5WLvutu0v/zNjovt/C+3I0bsFNSAMjbuhUVFIwKCKyWOFXbbiduxwrqxX7T+aATFxaruxTV3eAQdLY5Z1Kd+qA3rjRJBDAjeP3stDy3b1KijV4xD9WpW5ycSwAAIABJREFUt29cnXrjLPkV8B7/WncxD+TnFiUNAgL9m6z7E6pFJ/SGpebGwV2mLhR0Whd3cFdhu+Dz/E5noVfPN0kEgJwj/o/xZI4jxcv0HoCz9HfzmjEN0Cn7C4/feuNKrB7+uzyttja5RSd08t6iwRQ5R/xeV1SLtujkA+hU729v8RysHr6zbvWhZNNhWeK3p5P2mSQCQGYa+nAmKizCr/H5xNquB3rVfHNj7zbTxpV8v7AI8z3vNYlevWo+qv2ZhQ9bF4/G+cl3thMa8xyAwGDzPZ9kUk81K1mPf8fqepZPGZ96vGI+VtuupV7H6jXAp0PYOudCbO9sTbSutgEWp9P1SAF3h0549u3BObAPPPnkzvqJoH4DfWM+WnT9p0JCzL894NmyEeeQSS7ZO7ahgoLN9bWfVVe9KDxfdrnM9y6EOCn/C7+ijsCKMu6/AugKdAHqA8uUUvO8j3UDOgAHgD+As7XWryqlxgMDtNYFvcV1gSVa63sBlFIbtNZPeP/+CLgE+B54AGimtc5VSkVorTOVUm8BR7TWL/j9E0fWR6elFN7UaalYLdtV7LlKEXDdX8l7/WlcHWtu+ZrTUXJKCvHxcYW34+NiSU5JITamfuF9TRIas3PXHvYdOEB8bCy//jaXfD9Pt62q5PRM4utHFd6Oj44kJT2T2KiiE86so+ag++on37B03WbOiI/hkZtHUj+ijA7E6nAydRlQUTEE3v9PVFwj8qe+6f/ZCAAR9dHpRaN2yEhFNSuxxFVksTKOAzlHITQcZ8V8VLe+BLz0KQQGY3/6Fhz1dkBocI9/BjQ4c3/EmTfD/7F7pWQdJb5e0ai5uHqhJGcdISa8bqmyN//nW9buS+bcNk24oFNLAHYdymTFzgO8MnMxQW4Xf7/4HDolxJV6rj+oqBj0oeTC2zotFatV+wo919m8DmftSuq8/z2gyJ/xJXpfGVPr/SU8Cn246MJAZ6VDeJRvR3t4FLpYp7XOSkeFR+GjSRtzIZSeTEmqY2/saS/7PfRS7xMWiZNV7CInK8NcjNZU0qCsmCKiILNY8vZwGuqM1hTvQlD1oovKOI65kKgbVvQ7q2n/Be2FCi+jLoRHlqjXkUWdqoDOysAKj0QDzs/TzEjTC0aYJanKGBF+0sIjfX97h8v77fn+PlW4Sfqr6Hho2gbr/KvBk489cxrs34lO2mMShGsXQXg0qmFTVL0otLfT2R+s6Fic1KLfunMoBVfbjuWWDxgyDM+yosmtKiaOkCdexmqYQO5/Xqn+2QiAOy4Oz8GDhbc9SUkEd+niUyaofQcCGjTg2Nzfibzx5jJfJ/TCIeRuWI8uK8HnByosAudwyXasRN0NK1l307HCIkzdnTkN67p7UYNHmOV2CmZlRcebZa+uvx8Cg9FLZhclLPzlNDy3VxHRkFGs/mWmoZqeoI3OOWo67o9mQZPWuEb9DaJicD58qfpnIwAqtB5OdrFBNUcyTQd3GUmDMp8fGYsGrBF3e5dz+gl2bfRvkCdxHCneqWr17I/ntYkA6JQDqLjGEB0HGakmMeHyYydhNbXJ1I8HrbFG/x1VNxxn7WL0gh/9FzegIuuj04v99tJTsVpU/Fqk8HWatwW323SSVpd6UejMomudwu+5eJ0u+T0fTkPVM+edql0P0/6VmOWqF81EjZ6A68E3ICgE55NXTz5hExntM+uBjEPmO/IpU7+oTLn1uF9hPSbEXLe4hl+PatMZUg/imfY6ZJUeKHeyTqvrES9XTBxOclJRHClJuDt0LlUu5KprqTPyeggIIPOvY0s9HjTwAjybNxQNXPCn6qgXXu67n0Y1a4OzbjnO8vn+j12I/yH/CzMSynMO8InW2tZaJwNzMXsoACzVWu/TWjvAaqBpOa9hA8UXnx2glFqilFoLDMQkIwASgalKqeuACs23VEqNU0otV0otf3fbwRM/wU9cg4fjrF4CxU9QRZXVCw9n4kP3c8/9DzNq7DgaNWxQazMQqsK2bZLSMujWpgVfvfgoXdu04LkPPq/tsCpMp6eSe/9Yjt8zEne/IVAvsrZD8qGatQHHIf/ea8m/fzSuC680F0VA/rP34HnidjwvP4w18FJU6061HK3xzk3DmPvwWPI8Nku2mSVkbMfhcE4un95+NRMuPpvxU39G19DowcpQ8Y1QjZty7MbhHLtxGK5OPbDadznxE2uZ1akPztpFpR9o3NyMqE/ZX/NBiRp3OrYXZVE9B+L8/AnOv+5Fz5yGNaz0RWqts1wQUhf77YnYMz/BNcLsbaRXzoWsdFy3PoE1dBR677YaGyldFvfAi3C1akfeF0VrsOvUZI7ddi1HxwwnYPAlJuFW25Si/gMPkfrPZ8otEtiyFdH33kfKY6WX4ThVqDMH4Mz8BOfle9EzP8G6bIx5wHKhGjTFmfYvnI9fRPW7DKKqJ5leFaftuf3uLdiTbsd+fjzWBVebkbunOstCRcbgfP4qzo9TsAZfUzSS+xSimrVF5+Wi9+8ydxw7gufjf+O+9WHcD7xkOkhPpfXDy2mTsVyoJm1wvngT+z9PYrXrgWpesc7cGhURRcBtD5L/9j9r9ZjxpwICsQYMx5ld+jpPte4MB3djP/NX7H8/gHXZDadEvVbN2ph6XLDMlMuFiorB2b4Bz5N34GzfiOvqshPXtelUvx7J+eIT0q4YwpHXXqLO2Ft8HnM1b0noHePJfmZi7QRXAaXqhZfn5YfJv/dalDsA1a70LAYhRMX9L8xIWA9cVcnn5Bb726b87+l4wb4ISqlg4A3gTK31XqXURCDYW+5ioB9wKfCwUuqEV/ha67eBtwFyru1fuTOOjEOo6KKNUlV0DDqjYiPSrFYdsNp2xjV4GCo4BFwB6OM5eD59u1Ih/LeaOv1zPvvqGwA6dWhPUlLRSISk5BTiYktvUDuw/7kM7G+mOk7/8mssV+0lEqb+NIcvZpsMfMeWTUk6VDQiJSktw2c2AkBEWCghQYEM7mOm9V/Y90y++LV6Nqwq00nUZd/XScPZtxOrTefSmw+erMxDqKiYotuRMT6jgcz7mzI645BZaiKkLhzJwuo9EL1umVljNDsTZ9t6rKatcQ4lQcFrZGeiVy40J0Vb1vot7GkLE/l86XoAOjWOJelw0fT75MNHiAsvf13foAA3A9s3Y86GHfRtfQbx9UIZ3LEFSik6J8RjKcg4epyoUP9fZOj0VFT9og4aFR3jOzLvT7j79MfZsg6OmyUH7JWLcLXpiLNhjd/iU70GYfU4z8S6f6cZrVzwWHiUz0hXAIqNuCuzjGWh2p+J89ajpd7L6tgHZ201bkp65gBUt34A6AO7UOFFn4XwSN8RbrVAZ6abjf8K1ItGH/b97enDaRBRHw6nmd9ecJ3am40Ap217oXoOQvUwy+vo/TtL14WSS0FlZZhRkAXPD48snHmjupxduPGyXr8MdZl/Egmq1/lYZ57njXGH72+vXnm/veIxRhV+Dp2Vjt6w3Dyw37tcRZ0ws4luwabRgOvmR3EO+Xewh5OWQkBMURtn1Y9FH0opVc7VrReB144lZ8K4MkcF6vRDOLu24+rYDc+CX/0aY0me5GTcDRoU3nbHx+NJLjo/surWJahVKxp/aL47V/0YGr4xmQN/vYXcdetwx8XT4LU3SL5/Avl7/bvfi+o5ENXdW3cPeNvkgiX6wyOh5NJa2SXrblTREkZdzi7ceFlvWIYqSCRkpaNzjpjEbn4ees9miE8ocxZZlZ2G5/Y6Mw0VWayNjogu1d4VttGZaUXtXcnR/8n70Lk50KBJ4XIs/qS6nIvqZJbO0Ml7UN4ZKACEVm7mnc7ONBt4O45pczJSICIGkv1Yr0/iOFLA6nVeqU1/9ZrFeNaYcwqr39CTX7qmJtrkrHSz4f0xcw7rbF0DDZpCwRJ0fqAzDqGiiv32oip5LRJSh8AJz+D57F30dj/PTgFUn8FYPc3yNHrfDlRENNrbf1qh77leNBxON8nPyBhcf/NuFB8ehevOSdivP4LqcZ7ZHwYgLdmMBo9pWLgMVZVkpKEii9fj+qW/14xDqMgT1GPv8lwAHMlC5x5HrzTLLzrL5+M+Z0jVY/wTp/r1SFns1GSsuPjC21ZsPE5q6fOLArmzZhB2/6NkF5aPo95zr5I18UHs/XvLfd5JqY56UZwnH2f1IqyuZ2FvWOn/+IX4H3H6DI2uujlAkFJqXMEdSqnOQCYwQinlUkrFYDr6l57gtbKB8haIL0gaHFJKheJNXiilLCBBa/0bcD9QDwg9wWudFGf7JlR8Y1RMPLjcuM4aaDaZrYD8158i987/I/eua8j/+E3s+TMliVDMqBFX8+30qXw7fSrnD+jPNz/MQGvN6sS1hIWG+ixrVCAt3ZzAHc7KYtpnX3D15cNqOuxCoy4ayNcvPcbXLz3GoF7d+Pb3RSb+zdsJqxNSKpGglOK8M7uwdP1mABYnbqRl4wZlvXS1OJm6TFSMWVcXoG4oVptO6IP+P+nROzej4hqZkcEuN1av/ujVvqPHndWLsPoOBsA6sx/OJrN5nU5PQRWs6xgYjNW8HTppr1l/NLhoLVLVoXvRqDE/Gdm3M1/ffS1f330tgzo059sVG9Fas2Z3EmHBgaWWNTqam1e4b4LHdpi7aRfNYk0H+MAOzVm63cxO2JWaQb7tEFk3mOrgbN2I1aAxKrYBuN24zjkfz9KKJbec1GRcHbqZkW0uF66O3XCKbYrmD3rpr9hv/gP7zX+gN61AdfWuo9u4hVlWp2SHxJHDZi3lxi0AUF3PRm8qOrFVzTvAoYOlO2qVMvsmVGMiQS//Deedx3HeeRy9eRWqs3cN5kbNy/4sNW3vVlRMA4iKNb+9bueg1/uu/63XLcPqZTaDU136orf5r3O9Kk7X9kIv+xXnrUdx3noUvWklqkuxep2bc+J63eVs9GbvJoLZmdDUO029WbvCzaJPOsalv2C/8Qj2G4+gN65AdT2nKMYK/fbOMevcg3l+M+/SFdHm34pj2eaYEhBkyrfoCI4Nqf5dpsLZvAGrUQIqriG43bjPuwDP4nk+ZawWbQi+6yFyHhuPPlzUNqj6sRBo4iM0DFeHLn5v48pyfG0igU2a4G7UGAICCBt6MUfnFCUvnCNH2HFWL3YNOo9dg87j+JrVhUkEKyyMhpPf4dCLz3N8lf8v6vWyOTiTH8OZ/Jipu8XbsT+ru42aA6A690VvKlZ3m7Qxfxeru3rzKlRCK7MXkzsQ1ag5pPo5wXQ6ntvv2YqKaWiWy3G5sXr0Q6/1vdTSa5dg9R4EeI9/W7ybQUfHFe3xERljlt1JL7/D62ToNfNxPn4O5+Pn0NsSUe29e+00aAp5xyu8rBGA3r4WGptlHwmuC5GxcNi/y4udzHEEAKWwevYr3dFWsJZ+nVCsAZdiz//p5OKsgTZZb01ExSUU7gmjmraFVP/O0tQ7NpkR5AW/vT4DcVZWcOkyl5uAu5/Enj8LZ9m8E5evSnyLZ2P/+0Hsfz+I3rAc1c27Tn9CS/M9lxz0kZ1pvucEU09Vt3PRG1dA8l7sp2/Ffu4u7Ofugqx07H8/ZP5dMg9htfAusRdaD1W/wUn/HvWugnrsbR96nYde43tO66xZXFSPe5yLs6lYR7tSpm6XqMfOmsVmWSPAatcVDlbPkkGn+vVIWTwb1uFOaILVsBG4Awi64CJy5/smFF0JTQr/Djy7P/Ze8/2p0DDq/etNjr72EvmJ1bcpdLXUi6Bg8C7fhWWhOveqlj4BIf6XqFNx+Ql/U0o1BF4GegDHgV3A3cA44CLMNjJPaa2nK6XOAyZorS/xPvc1YLnWeopS6k7gDuCA1nqAUuqI1jq02Ps8BVwLJAFbgN3A08BvmASCAj7WWj+rlGoNfAE4wJ1a63IXaqv0jATA6tqbgNF3gmVh/z4Dzzcf475qLM7OTTgrFqKatyVo/JNmrej8PPThdHL/foPPa7j6DcFq3ob8Ka9U6r3v+dT/B5cbp71H6/POIbR+NFnJKXz/2CQWvveR317/raOVP5horXni2eeZv3ARIcHBTJr4Dzp1MNNph40YxbfTzci78Q88wqYtWwG4fdyNXDzkAgAS12/gjvH3kZWVRVBQIPWjo/nxy+kVem9nZ2Kl4y0r/iffmcaCVesIDgpk0h1j6NiyKQCXj3+cr196DID9KWnc/+p/yD56jKjwMJ6+YwwNY6Ir/X65Tz1SpTirWpetTmcScN1fzRRipfDM/Bp7zveVem9XnaAKlVOdeuK+5jYT44KZOD9+gmvYaJxdW8zJjzsA9833oxJaoI9m45k8yWwiFRSMe+wEaHAGSinsBbNwZn4O9eNx3/GY9wtw4Sz5DefHT04c76WXVerzFdBa89S3c1mweTfBgQE8ffUgOjY2o2wuf/kTvr77Wg5lH+OvU74nz2PjaE2vFo154JJzcbss8jw2j3zxK5sOpBLgcvH3i8+mT8uECr338SnTTlyoBFePswgc+zdwufD88gP5X3xAwLU34WzbhL1sAVbLdgQ98AwqNAzy8tCZaeTcdR1YFoG3TMDVviugsVcuIe/9Vyv9/kGdW1a4rHXxaFSrTpCfh/31f+DATvMZbnsS+03vEh4Nm+G6/GYICEBvTcT5sahtsy6/Gb13G3q574m+atoWa/D/Yb/zxAljUH7aDE0NGWU6Tz15ON+9V3hxZt38GM47j5syg65CdextOiSyM9Gr5qPnfVfp99LpFdt0TrXrjjX8RrMW9ZJf0b98gTXkWvOdrV8G7gCsUXejGjWDY0ewP3qxsPPP9Y/JZmq+2w05R7HfehyS92FdOhrV/VwzKjkrHb34F5yZJ26bnTI2KC8z5lOlvUhoWKF4y/wMQ/+CatkJ8nNxvn0XDuwyb3/rE0WzZxo2xRp+E7gD0dsS0TM+Nvef0QpryCjTSejJx/nxwwpf6GvbrnCM1iXXF/32vnqn6Lf316ew3/Aejxo2w3XFOPPb25JoYgGz3v3lN6Pim5jN/n7+BL1zA0TUx3X9faAddFYGztf/MbNd/kTO0sqPQHX1PJvgW8eD5SJ/1nfkffIegaNvwd6yEXvxPEKefR2racvC/Q90SjI5E8fj6t6boJvvxpzWKvK/+4z8n76u1Hsn7a7aTKM6/foT89AjYLnI+vJzMia/SdSdfyN33TqO/uY7I6LRh1M59Nwz5K5bR+StfyVq3K3k795V+Pj+G2/ArmAbAND82opvCquGXodqYeqF8+27ZtNcwLrlcZzJ3t9Rg6amXXEHoretRf/krbsJrbCGjCyquzM+Kqy7qu8Q01GqNXrlPPSS2eXGkLepantq1Oa5fUD9MjYcrgDVvgfWlTeb/VAW/4Ke9ZlZFmzPVvS6paaNHj0e1bi5aaPffw7SklE9B2ANvspsrqs1zs+fohMrlzhXzaq2EboaeDWqaTtzrJs5FZLNNYJ13X04Hz9nypx7GartmYXrcut1i9CLTMe76n+5eb520EtmoTdXLEFmr99U8RirehwBVJvOuK68Ec+kv/m8pmvcg1gJJoFmfz+1/BG9xVgNK76EV7W0yZhBAla/S0GD3rIGZ9anfxqHZ+e+CsdcGHuX3rivu91833N/wv5uKu4rx+Ds3IyzciGqeRsC734S6oR6f3sZ5D0wBuvs8wm4+X6f5H7+5GfReyo+kt+dEH/iQsVjvWyM2bQ8Pxf7i8mFG8e77nwG+98PmkKNmuO66lYICERvWY3z3ZRSr+O671Xs1x42SfSwSKyrb/VuFK1w5n5XtHl2GZzUCp7DdeqJe8St5nv9Y1bZ9fim+1BntCy7Hl8xFs8zd/u+aFQs7pvugzp1IfswnvdfrNCybvmHKj9btTavR44eqNqxOrBvP0LHP4CyLHK+/5pj70+m7rg7yN+4nrz5vxE6/kECe52F9njQWYfJfuFp7B3bqDP2FupefzOeYrMGM++8CZ1R8WN1ROeKXRv6vV6ER+C+8wmzObSy0JvWYE9/q0KzrgL/M1NV+AOKQk8GR/33dzL70T+Op5929ex/IpFwuqtKIqE2VUciobpVJZFQm/yRSKhpVU0k1KaKJhJOFVVNJNSmqiQSaltlEgmnAn8lEmpSRRMJp5KKJhJOFSeTSKgtlUkknCqqkkioTVVNJNSmyiQSTgVVTSTUpqomEmpTVRMJtaUyiYRTRWUSCaeKqiQSalNlEwmngoomEk4lVUkk1KaqJhJqU0UTCacSSSRUjSQSKud0TCT8LyxtJIQQQgghhBBCCCGEEEKIKpJEghBCCCGEEEIIIYQQQgghyiWJBCGEEEIIIYQQQgghhBBClEsSCUIIIYQQQgghhBBCCCGEKJe7tgMQQgghhBBCCCGEEEIIcfqS0er//eTfWAghhBBCCCGEEEIIIYQQ5ZJEghBCCCGEEEIIIYQQQgghyiWJBCGEEEIIIYQQQgghhBBClEsSCUIIIYQQQgghhBBCCCGEKJdstiyEEEIIIYQQQgghhBCiyixV2xGI6iYzEoQQQgghhBBCCCGEEEIIUS5JJAghhBBCCCGEEEIIIYQQolySSBBCCCGEEEIIIYQQQgghRLkkkSCEEEIIIYQQQgghhBBCiHJJIkEIIYQQQgghhBBCCCGEEOVy13YAQgghhBBCCCGEEEIIIU5fMlr9v5/8GwshhBBCCCGEEEIIIYQQolySSBBCCCGEEEIIIYQQQgghRLkkkSCEEEIIIYQQQgghhBBCiHJJIkEIIYQQQgghhBBCCCGEEOWSRIIQQgghhBBCCCGEEEIIIcrlru0AhBBCCCGEEEIIIYQQQpy+LFRthyCqmSQSTgOB5/ap7RAq5a13v6vtECrt1roJtR1Cpd0YH1HbIVRK90dG1HYIlZeeXtsRVMrBia/VdgiV1uCOq2s7hErTiWtqO4RKydmeXNshVFpI/x61HUKluRqdXpM881asre0QKs3OOl7bIVRaSM+2tR1CpTQf07W2Q6g0vWxRbYdQKQFNG9Z2CJV3OKu2I6i0vGWn17E6sEen2g6h0nLmLq/tECot5KL+tR1CpehdO2s7hEqzGsTWdgiVFtz3rNoOoVKCm7Wu7RAqzfP+u7UdghDCT06vq14hBHD6JRGEEEIIIYQQQgghhBCnL0kkCCGEEEIIIYQQQgghhBCiXJJIEEIIIYQQQgghhBBCCCFEuSSRIIQQQgghhBBCCCGEEEKIcslmy0IIIYQQQgghhBBCCCGqzFK1HYGobjIjQQghhBBCCCGEEEIIIYQQ5ZJEghBCCCGEEEIIIYQQQgghyiWJBCGEEEIIIYQQQgghhBBClEsSCUIIIYQQQgghhBBCCCGEKJckEoQQQgghhBBCCCGEEEIIUS53bQcghBBCCCGEEEIIIYQQ4vQlo9X/+8m/sRBCCCGEEEIIIYQQQgghyiWJBCGEEEIIIYQQQgghhBBClEsSCUIIIYQQQgghhBBCCCGEKJckEoQQQgghhBBCCCGEEEIIUS5JJAghhBBCCCGEEEIIIYQQolzu2g5ACCGEEEIIIYQQQgghxOnLUrUdgahuMiNBCCGEEEIIIYQQQgghhBDlkkSCEEIIIYQQQgghhBBCCCHKJYkEIYQQQgghhBBCCCGEEEKUSxIJQgghhBBCCCGEEEIIIYQolyQShBBCCCGEEEIIIYQQQghRLndtB1ARSikbWAsowAbu0FovVEo1BX7QWneswmv+DkzQWi8/QZkGwHHgCDBWa725nLJNgb5a62kneN9dwJla60OVjbkytNZMmruWebuSCXG7mHRBd9rHRviUycn3cM+MZew9fBRLKQY0i2f8OR0AWL7/EM/MXcuWQ1m8cNGZXNiqUXWGWxjz08+9yNw/FhIcHMyzjz9Kh3ZtS5WbMXM2b777Po5tc16/c/j73+4EYNmKlUx64V9s3rqNl555iiGDB1V7zH/mL+++TqdLhpCdksqTnfrUaiwFwgf054wnJqJcLlKnfUrSa2/4PB79f1eR8OjD5B9MAiD5/Q84NO1TAhs3ouV7b6OUhQoIIPm9KaR++HGNxKy1ZtK8dUV1eXC3suvyT8vZe/iYty7HMf7s9gAs35/GM/PWmbo8pAcXtmpYI3EXUBdei2rZCfLzcL57D5L2lC4z4HJUp74QUgfnn7fXaHwAQX3PIeK+h1GWxdGvvyD7/Xd8Hq971QhCR4xCOzb62DEynnwUz47tAAS0ak3EI09ghdYFR5M86irIy6vWeLXWTJqzink7kkydGNqL9nGRPmVy8j3c890i9mYeMXWiRUPG9+8MwNfrdvLC74nEhoYAMKp7S67q3Nzvcap23bGuuAksF86iWehfvvQt4HZjXXcPKqElHM3CnvI8pKeg2nTFumw0uNxge3C+mYLemmie43JjXXULqlVH0Brnh4/Qaxb5PfaSXD36EDRuPFgW+bO+I//zD30eDxh+LQEXDkPbHvThTHJffgqdmlTtcZWkBl2Nat4B8vNxfvoQkveWLnPuZagOvSE4BOfl8aVfpHVXXMPHYX/4bJm/V7/HPPAqVLMO4MnD+ekjSNlXusw5l6La94LgOjiv3uv7WJtuqL5DQYNO3Y/+cUq1xmt16UXA6DvBsrB/+xHPd76nPVbbzgSMvhN1RnPyXn0CZ+lc3xcIqUPw8x9gL19A/pRXqjXWkk6XegxgXfwXVOuukJ+L/eXbcHBX6UINm+K64hYICERvWY3z40eFD6k+g7F6DwbHMY/N/LRa49VaM+mnRczbupeQADeThvenfcP6pcqN++gnUrOP4XEcejSJ5x8Xn43Lsnh+5hJ+37KbAJeLhMgwnh7en/CQIL/EZg0fi2rXHfLysD/9N+zfWbpQ4+a4rrnDfJcbV+J88565PyQUa/R4VGQsOiMF58MXIecohNTFGnE7KjoePHnY01+HpL0Q0xDXX4q1K9FxOD9/ip7/Y9Xjv/R6VJuuJv4v3oQDu0oXatgM19W3mvg3r8b5/gOfh9U5F+O6+Do8T46DY9mocy/B6nq29w1cENsI+6lx5rOdBNW+B9aStcHXAAAgAElEQVTV40BZOAtnoWd97lvA7ca6/l7vcS8b+91nIT2l6PHIGFz/eBNnxjT0L18B4HryPTieA44Djo39z7tPKsY/c7q2bydzHFEdeqP6D4cjhwHQq+ai11b/eUUBV/c+BN18j2mXZ39H/hcf+TweMOxaAi64DG3b6KwMcl95usbb5ZO9rp6ychtfrN+NWykiQwJ5anB3GoXXqZZYrcvGoNp2M8eOz94ou71r1AzX/91u2otNq3C+e9889+LrUO16gO1BpyXjfPYGHD9W9LyIaFz3/gtn9ufoed/7J96hf0G17mLi/eptOLi7dKGGTXFdMQ7cgegta3BmFDvW9R6M1ft80A568xqcWZ+C5cIafiOqYVOwLJzVf/gt3uK01kz6dSXzth8gJMDFpKF9aB8f5VMmJ9/DPd/8wd7MbFMvWjZi/HldCx//aeMeXv9jLQpoGxvJ85f19XucpWL+7GfmrdtKSGAAk64fTvszGpRb/vY3PmHvoQy+e/SvALz2/e98sWAlkWGm/t49bBD9O7WqtnhVp564r7sdZVnYc2dg/+B7LqPadMI96nZUQnM8bzyFs2xe4WMBE55BtWiPs3UdnpcerrYYRWkWqrZDENXstEgkADla664ASqkLgWeA/jX03qO01suVUuOA54HLyinXFBgJ/GkioabM25XM7swj/Hz9+SQmZfD4nDVMv6b0Vzame0t6J8SQZzuM/eoP5u1Kpl/TOBqEhTBpcHfeX7mt5mJesJBde/Yy69svWbN2HRMn/ZPPP3rfp0xGZibPvfwqX039kKioSO7/x0QWLVnKWb170aBBPM88/ijv1VAH94ksmjKV3197mxs+nFzboRiWRZNJT7FlxCjyDh6k/U/fkzlrNse3bPUplv7t9+x5+FGf+/KTU9h4yeXovDysOnXo+PtsMmfOJj85udrDnrc7hd2ZR/l59CBTl39LZPqIfqXKjenWkt4J9U1d/nphibrclfdXbq/2WEtp2QkVFYfz+kPQqDnW0L/gvPd0qWJ6yxr0sjlYt0+q+Rgti8gHHyX11rHYycnETv2cnLlzChMFAMd++oGjX0wHILj/ACLufYBDt98MLheRTz9PxiP3kb9lM1a9CPB4qj3keTuT2J1xhJ9vuojEg+k8PnsF0687v1S5MT3b0PuMWPJsm7HT5zJvx0H6NTcnyxe1TeCR87tXX5DKwrr6FuzXH4XMNFwTXsRet9R0NBUU6TMYjh3BfvIWVPdzsS67HmfK8+ijWdiTn4KsdGhwBq7bHsd+dAwA1gVXw5FM7KduA6WgTmj1fYYClkXQbX8n55E70YdSCPnXFDyL56P3Fl2cOju2cOzu6yE3F/fQKwgcewe5/3yk+mMrrnkHVGQszjsToUFTrMHX4Hz8fKlielsieuXvWDdPLP0agUFYPQagD5Rx4V0dmrVHRcbgvPt4UcxTXyhVTG9fi141F+vGx3wfiIhB9boAZ9pLkJtT/fVBWQSMuZu8Sfei01IJenoy9oo/0PuLLvz1oRTy3noG98XXlPkSAVffiL0psXrjLMvpUo/BdKpEx2P/615o3ALXZTdgT55YqpzrsjHY3/wH9m3HGv13VKvO6K2JqGbtUO16YL/2ENgeqBte7THP27qX3WmH+fmu/yNxXwqP/7CA6eOGlyr30tWDCA0ORGvN3dN/Yeb6nQzt1IK+LRpxz/k9cbssXpy1hHfmr+beC3qfdFyqbXeo3wD7mTvgjFa4rhyH/eqDpcq5rhyH/dmbsGcr1k0Po9p2Q29ahTXocvTWtThzvkYNvBxr4OU4P36MNehK9IGdOFOeg9hGWFfchPPW45B6APulCd43t3A9+jZ63dKqx9+mq6kLL9wDCS1xDb8R+41/lI5/+Fjsr96Bvduwbrgf1boLessa82C9KFSrTuiM1MLyev4P2PN/KPyO1DlDTzqJgLKwRtyG/eojkHkI1/3/wk5c7Hvc63uhOe5NvBnVox/W5WNw3v1n4ePWlTehN6wo9dL2yw/C0ayTi68C8Z+W7dvJHkcAvXkl+tfPS91f7SyLoFsnkPOPu9BpKYS89D6eJfPRe3cVFnF2bObY+BtMu3zRFQSOuYPc52q2XT7Z6+p2MfX4/Jr+hAS4+TRxJy8uWM9LQ3v6PU7VthvUj8d+7i7T3l1+E/ZrpTtQXZffjP3lZNPejX0Q1aYrevNq9JZEnJ+mgeNgXTQKa8DlOD9NLXyedcn16M2r/Bdvqy4QHYf98gRzrLt0DPbbE0vHe+kN2N+8a451f5lQ4ljXHfv1h32OdapjL3AHmGNgQCCuO5/FTlwEmf4dxzlvx0F2p2fz87hLSDyQxuOzljN99AWlyo3p1ZbeTeLM9cinvzFv+wH6tWjIrvRs3lm8nqnXDaZecCBpR4/7Nb4yY163jd0p6fz8xJ0k7tzP49N+ZPoDN5VZdvaqjdQJCix1/+hBfRh7QfUmPADTJo++i7zn7oP0VAIefwNn5SL0gWJtcloKnneew3XR1aWe7pnxGSowGGvgJdUfqxD/Y07HpY3CgYySdyqlmiql5iulVnr/61vssfuVUmuVUmuUUs+WeJ6llJqilHrqBO87D2j5J+/zLHCuUmq1UuoepZRLKfWCUmqdUipRKXVnsde60/vctUqp0kPu/WDOjiSGtTsDpRRdGkSRnZtPaomDU0iAm94JMQAEuizax9Yj+UgOAI3C69Imph5WDSYTf507j+GXDEUpRdfOncjKziYl1feAv3f/AZqckUBUlBl9fFbvXsz89TcAGjdsSNvWrbCsU6Nab5u/kGPppapqranbrSu5u3aRu2cPOj+f9G+/J/LC0ic7ZdH5+WjvKHMVFAg1+B3P2ZHEsLaNK1CXzcjHQJdF+5h6JB8xZRqF16FN/XpYquYz46p1V3TiQnNj/w4IrgOh9UoX3L+jcCRYTQvs2BnP3j3Y+/eBJ5+cmTMIOc93No8+WtS5oELqgNYABJ91NvlbN5O/xUzUcg5nmhGD1WzO1v0M69DU1ImG0WQfzyfV23YVCAlw0/uMWAACXS7ax0WSnH2srJerHk1aoVMPQlqymVWwcj6qk2+nmOrUG2fpHAD06j9M5yHAvh0miQBwcA8EBILb5P1Vn/NxZn9hHtMajmZX+0exWrfHObAPnXQAPB4882bj7uObzLMTV0BuLgDOpnVY9WOrPa6SVMvO6PVLzI2Du8zvrawO1IO7yu2QUudcirNkNnjyqynKEu/XsjN6/dKiuIJCKhWz6twXvXqeSSIAHDtSTZEaVst26KT96JSDYHuwF83BdeY5PmX0oST0nh2gS7cFqllrqBeJk7isWuMsy+lSjwFUux7o1QvMjX3bIbguhPqOfiU0wtSXfSbpq1cvQLU/0zy/1/lm9KXtTexWdwcsMGfTboZ1bWXa5YQ4so/nkVpGmxsabDolPI4m33YoODSf3bIxbpc5t+iSEEtS1kl2anupjj3RK7yjxvdshZC6EFbiuwyLMO3FHjOwQq+YazqiANWhJ3qZOc/Uy34rvJ+4xuit68zfKftRkbGlju+qVSdzDCjWgV/p+Nv1QK+ab27s3WbiLCv+oBDzOKBXzS+sCwDWxaNN52B579GlL3rNwirHWKhpa3TqAUhLMse9FfNQXXxn5KrOvXEW/+qNcwGqTZdicfQx31dZI5JrwOnavp3scaQ2Wa3a4xzch04u1i73LtEur11Z1C5vXocVXfPt8sleV/dOiCEkwJzHdY6PLLzf31T7M9ErvSOy/7S9Cylq71bOQ3UwSQ29NbHwPF7v2QIRRaPrVYeekJECyaVnu1Q53nbdfY91IWVcJ4XWK32sa9fDPL/XIPS8H0of67SGgCBzveoONI/n+v87n7N1H8M6eq9HGtUnOzev7OuRJnFA6euRL9ZsY2T31tTzHhej6wb7PcZSMSduYlifzibm5o3JzjlO6uHS1xJHj+fxwS+LuOWi0oP3aopq0Radsh9STZvsLP4Nq3uJBMahZPTeHYXXpsXpDavQx2vw2k+I/yGnRo/riYV4O+g3Af8BniyjTAowWGvdHRgBvAqglLoIGAb01lp3AZ4r9hw3MBXYqrU+0dCGSzHLK5X5PsADwHytdVet9b+AcZhZCl211p2971PgkPf5bwITKvIFVFbKkRzivct2AMSFBv/pSUtWbh6/70iij/cEqDYkp6QQHx9XeDs+LpbklBSfMk0SGrNz1x72HTiAx+Ph19/mklQDo+L/GwTGx5O3/0Dh7byDBwko9n0XiLx4KB1+nUmLd94isGHRVMfAhg3o8OtMuqxYQtJrb9bIbASAlCPHiQ8rXpdDCpMEZcnKzef3ncn0SSi9pEJNU2GR6IIOYYCsjNIn9LXMFRuHnXSw8LadnIQrtnS9qDtiJPHfz6Le3RPIfM7MqnA3aQpaU/+N/xD7yZeE3nBjjcScciTHt06Ehfx5+3Y8j9+3H6BPk6LPNWvLPoa/P5O7v13IwSz/n2SqiGjfkU+Zh1D1on3L1CtWxnHg+FGoG+Zbpmtf9L7tZqZHSF0ArItH4fr7v7DG3F8j9UlFx6IPFf3e9aEUVHT5xwr3BZfhWV5zyyIUUGER6KxiydvsSv7e4hJQYZGwY53/gyuHCo1AZxePObN0h/GfPT8yFiJjsa69B2vkvdC0XTVEWUxkfXRa0XFZp6WiIivY1ipFwHV/JX/qm9UU3Ane/jSpxwCERaIPpxXe1FnpEO67fBvhvscXfTgdwkwZVT8e1aQNrlsm4rrxYWjk/6XbSkrJPkp8eNGMmLjwuiSXkwy4+cMZnPvcR9QNCuCC9s1KPf7Vyi2c2yrBP4HVi0IXa4v14TQo0RZTLxqdWez7zkyDet4OtLAI87sE8/+CNuXALqyC5HBCS4iMgYgSbXy3s3FWLfBD/MViO5wO4b5LZxAeVaIuFMWv2vUwienylmkLCDSzF9YtObk48R73Mood9zLKOO5FRBclVhwHco6ZTu+gYKzBV+HMKCPhoTWuO5/E9cArqLOHnHSc5TpN27eTPY4AqFZdsa5/EOuyG2v0PFVFx6APFf/OT9AuD74Uz4qab5f9eV391frdnNu09Hm2X5Rs74q3ZcXLHC6nvStG9RyI3rTa3AgMwjpvGM5sP89aCY80bVpBLBVp34odD1V0PKppG1zjJuIa+zA0MscTvX4Z5Ofiuu/fuCa8jPPHTyc/46oMKUdyiA+vW3g7LqzOnw5ayjqex+/b9tOnaTwAuzKy2ZWexaiPZ3PNh7OYv+NAuc/1W8yZ2cRHFiVr4iLCSc4snUj493dzuOH8swgJDCj12LTflzL8yTd5+MNvOXy0epJiACqyPjqt2Ey69Eq0yUKIanW6JBJyvB30bYEhwIdKlRpeHAC8o5RaC3wOtPfefz7wvtb6GIDWulivHpOBdVrr0muNFJmqlFoNnI3p9C/vfUo6H5istfaU8b5fef+/ApNsqFUex2HCT8u5rmtzEurVPfETalG98HAmPnQ/99z/MKPGjqNRwwanzAyE/waZs38hsVdf1g+6kKx582n2ykuFj+UdOMj6QRey9qx+RP/fVbjrn3oHco/jMOHnFVzXpdkpX5dPN0enTyPp0gs4/MqLhN18m7nT5SaoWw/SH5pA6phRhAwYTFCvU2M/kAIex2HCD4u5rnsrEiJMJ9eAFg35ZdzFfDPmQs5qEsdDP1V92YlqFZ9gljua7t3LxLJQkTHonZuwn78HvWsT1vAxtRtjCe4BQ3C1akf+l6fGEnMVp7AGXInz25cnLnoqsVxmOafpr+D8OAXrgpFm5N4pyDV4OM7qJZBe9dHZNeX0rcdelgUhodiTJ2L//IlZ+/8U8s7oocydMIo8j82Snb4dJ2/NXYXLUlzauWUtRXcC3lGPzpyvIaQurvEvYJ0z1KxDXnxGnsttZjP4Y6R/VQUEYg0Y/qedf6ptd/TuzdXSyVYZ1sWjcOZ8A7mlB4rYL96H/ezfsF97FKv/xdCyQy1E+OdOp/atJL19Hc47j+F88Iw5r7joL7UdUpnc5w3B1bId+V+d2u3yn11Xf7dpL+tSMhnb/RRt37zUwMvBsQtnQ1mD/w9n/o+Ql1vLkZVguSCkLvbbE7FnfoJrhHcBiMbNwXGwn7sL+6XxWGdfZJK9tcjjOEz4biHX9WhdeD1iO5rdGUeYcu0gXrisL4/9vIys49W7z1xFbNybxN5DGZzfrfTglGv6n8nMp+7iq4dvJSY8lOe+nFULEQohatvpskdCIa31IqVUfaDk0eAeIBnogkmQVGSRuYXAAKXUi1rr8sqPKr4hs1JqYhXep6SCo7BNOf8G3j0ZxgG8ee0F3HxO17KK+Zi2Zgefr9sFQKe4SJKKjZRIPnKcuNCyOxce+3U1TSJCGd2t5k9qpk7/nM+++gaATh3ak5RUNFowKTmFuNjS01cH9j+Xgf3PBWD6l19juSSRUBF5SUkENiraaDiwQQPyk3xnFdgZmYV/p079hMaPlF5HOD85mZxNmwnr3YuMH2dUS6zT1uzk8/VmanunuAiSsovX5RziQsue+vnYnDU0iajL6G4tqiWuilBnDkB1M9NA9YFdqPAoCidbhkcWjWw8Rdgpybjii2aeuOLisVPKn22S8/OPRD70GBmY2Qu5K5fjZJrPdHzBXALatSd36WK/xzlt5VY+TzRrmXdqEOlbJ7Jzym/fZi6nSWQoo89sXXhfRLENPK/q3IwX5/p/PWOdmYaKKJZsi6jvMwIMvKNGI+pDZprp+AuuW7RUUUQ0rpsewv7oZTjk3VTwaDY693jh5sp61R9YfQb7PfZSnyUtBVW/aPScqh/rM0KogKtrTwJH3EDO/bfV3NJA3fqhOpsNQ3XSblR4JHq/98GwSvzeAoOgfkOsa+8xt+uGY11xK85Xb/l9w2XVtR+qc9+imMMii9qIsAg4UvE2QmdnQtIu04F5OM0sOxAZU32bRGccQhVbVkJFx6AzKrbmsNWqA1bbzrgGD0MFh4ArAH08B8+nb1dPrCWcyvUYQPU+H+vMASbW/TtQ9aIL64UKjzIz2orLyjD3F5SpF2Vm4QD6cAZ6g3d5lf3eKf91wuCYf5dCm7ZkPZ+v3ARAp4YxJGUVLa2VnHWUuPDyE/pBAW4Gtm3CnE276duiMQBfr9rC3C17eO/6iyk9Xqji1NlDzOabgN67DRVRv+i7rBdtfivFHU4zI+ULykREQ8Eo2YJZCAX/L1iGMDcHZ/rrhc9xPfymWZan4DXadkPvq9qyharPYKyeA038+3agIqLRuwvijypa+q5AVnqJuuCNPyrObF78N+8eBOFRuO6chP36I4Vx+W1ZI7zHveKjRSPLOO5lppk2quC4F1IHjmahmrZGdTsbLh8LIXVRWuPk56Hn/lD073XkMHrNIlTTNuht6/0Ss4/TqH3z53GE40VJJL12odl4uYbotFRU/eLfeTntcpeeBP7fDeQ8WHPtsr+vqxfuSeHtpZv54KpzCXS7/BanOutCrN5mSVK9d7u3vTNLjvq0ZQUOp/vMFCpZRvXoj9WuB/bbTxTdd0ZLszzn0FFFv09PHnrhzMrH2+t8rDPPM/Hu34GqF1Wsfa5A+1bseKiz0tEbvN00+71LjtUJw+rc17tMkw1Hs9C7t6AaNfPZJ6aqpq3cwudrzDJLneKjvcvwmW6p5OxjxIWVvYn2Yz8vpUlUGKN7Fq1qHRdWh84NoglwWTSOCKVJVBi7M7Lp1CC6zNeocsy/L+XzBStNzE0akpRRdFxKzswiLsJ3NvSaHXtZt/sA5z/0MrbjkJZ9lOtfnMIH995A/WIzD68+pwe3vVF924PqjEM+M5RUVMXbZCFE9TrtEgnePQVcQBpQvKWuB+zTWjtKqeu9ZQBmA48qpaZqrY8ppaKKzQ54F+gHfKaUuqJg9sAJlPc+2UDxVng2cItS6jettafE+56Q1vpt4G0A+437Sy/6VoaRXZozsouZvj53ZxJT1+xgaOtGJCZlEBbkJqaMdfdeWbiBI7n5PHl+t4qG5lejRlzNqBFmc5zf5y/g408/5+IhF7Bm7TrCQkOJjSk96j0tPZ3oqCgOZ2Ux7bMvePm5Wtig9jR0dPUagpo1IzAhgfykJKKGXcr2v97lUyYgNpZ873JSERcO5vhWs95uQIN4PBkZ6OO5uOrVI6xXT5Lf/k+1xTqySzNGdjHTU+fuTGZq4s5idTmg7Lq8aCNHcj08OejESbfqpJf/hl5u1lOmZWesngPN2rWNmsPxY7W2F0J58tavxX1GE1wNG2GnpBBy4VDSH/Jdcc19RhM8e0wvRvC55xX+fXzhAsJuuBEVHIzOzyeoR0+OTP2gWuIc2b0VI7u3AmDu9gNMXbWNoW0TSDyYbupEGRd0r8xfa9q3Ib4b2qUeySks/9u2AzSPDiv13JO2ZysqpqHpyDmchtX9XOwPfDc/1OuWYvUaiLNrM6rr2eaiB8wo11sexfnuQ9i5sdRzVMtOZpO51p3RxTaxrC7Olo1YjRJQcQ3Qaam4+w0m93nfzT6t5q0JuuMBch69G3245vaG0avmoVd51wNu3hGre3/0xuXQoKlZD7ei60HnHcd57b7Cm9Y1d+P8/lW1dMjr1fPMvgYAzTtgdeuH3rSi8jEDetsaVLszYd1is/RVZKzpoKsmzvZNqPjGqJh4dPohXGcNJO+1slabLC3/9aKtqFz9hmA1b1NjSQQ4tesxgF7yC/aSXwCzv47qMxiduAgat4DcY6U7Bo9kmvrSuAXs247qeg56sRkZqDcuRzVvj965EaLjweX2exIBYGTvDozsbUaHz92yh6lL1jO0YwsS96UQFhxITIkOlaO5+RzLyycmrA4e22Hulr30aGKWeJi/dS/v/rGGD8dcQkjgyV2e6D9+xv7jZ8Cswa3Ovgi9agGc0coch0smGLMzzf1ntDJtd4/+6AU/mddavxzVcwB6ztfm/+u9CZrgOpCfB7YH1ft89I4NPmtwq27nmPesSvyLZ2Mvnm1ep0031FkXmM7+hJblx5+bYx7fuw3V7Vz0opmQvBf76VsLi7nue9VsvFpQF4JCUM3a+SRETsruLajYRhAdB5lpWD36Yb/vu+G9TlyC1WcQzs5N5jvabI579kv3F5axLh5pkuZzfzBJXmWZzxcYZNZUn/GJf+It4XRq3/x5HKFueFH5Fp3MHhc1xNm6EathiXb5hUd9yljNWxN0+/3kPHZPjbbL/ryu3pCSyeNzVjN5WF+i6wSVet7J0ItmYi8yHfqqbTdU3yHo1X+Y9iynvPYup6i9694PvdDbXrbugnXeMOy3HjPtm5f9ZtEG3dbgq83vswpJBAC99BfspQXHui6o3oPRaxebY1lZ10lHDpdxrDPto964AtWsXaljnT58yBwD1/wBAUGohJY4i6oWb0kju7dmZHczOGnu9v1MXbGVoe2akHggrfzrkXmJpl5c5LtX2qBWjZixcTdXdG5OxrFcdqdnF85W8KeR5/Vi5Hlmf5+5a7cw9fdlDD2zI4k79xMWHERMPd/roGv69+Sa/ubaaf+hTG57Yxof3HsDAKmHswvL/7J6I60aVt+eJXrHJlRcI6gfDxmHsPoMwPPmny0kIk4VNbnPqqgdp0siIcS7vBCAAq7XWtslRiu9AXyplBoN/AwcBdBa/6yU6gosV0rlATOAhwqepLV+SSlVD/hIKTVK6zJ2z/JV5vsAiYCtlFoDTAH+DbQGEpVS+cA7wGtV+/iV169pHPN2JTPkg9kEu908PbjohObyqXP4etRAkrJzmLxsC80jQ7lymun4HNWlOVd1bMrapAzu+nEJWcfz+W1nEq8t3sT3fxlU3tv5Rf9zzmbugoUMvuwKQoKDmTSx6AJ/2IhRfDvdbDPx9HMvsWmL2SDq9nE30qxJEwAS12/gjvH3kZWVxW/z5vPvt97mxy+nV2vMf+bGae/R+rxzCK0fzTN7N/L9Y5NY+N5HtRYPts2eh/5Bm08+ApeLQ59O5/iWLTT8+3iOrVlL5qzZxN00hogLBqM9HjyZmey8+14AQlq1IuGxR8yoRqVIeuttcjZtrpGw+zWN9dblXwkOcPF0sZPzy6f9ztcjz/PW5a2mLn9iNlUc1bkZV3VswtrkDO76YRlZud66vGQz3183oEZiZ1siumUnrNufAU8eznfvFT5k3fwYzjuPA6AGXYXq2NssQ/C359Gr5qPnfVczMdo2mc8+Sf0330VZFke//RLP9m2E33YneRvWcXzub9S9ZhTBvc9Cezw4WVmkP/oAADo7iyMfTSF26uegNccXzOP4/LnVHnK/5g2Yt+MgQ96ZQXCAm6cvKkoUXD5lFl/fcAFJ2ceYvHgjzaPCuPIDc8ExqntLrurcnI9WbuW3bQdwW4p6wYFMuqiX/4N0HJwvJuP660SwLJzFv0DSXqyhI9F7tqHXLUUvmo36y3hc/5gMx7Kxp5gOF3XuxVC/AdaQETBkBAD2G4/BkcM4332A6y/j4Yqb0EcO40x7xf+xl/osNrlvvkDIk6+CZZE/+3ucPTsJvG4c9taN2EvmE3jjnRBch+AHTWJXpyZx/Im/V39sxe1Yh27eAevmx83v7aei9ta6/kGcD54BQPW/3GxEGhCIddvT6MSF6D9+rNlYC2Nej27WAeumxyA/H+fnoiUbrNEP4Hz4rIm53zCTMAgIwLrlSfTaReiFM2DXRmjaDmvMw+Bo9NxvfEaX+p1jkz/lZQIffAEsC/v3Geh9u3BfNRZn5yacFQtRzdsSNP5JqBuGq3tf9NVjyP37DdUXU0WdLvUY0FtWo1p3wTX+RcjLw/6qqEPSdfvT2K8/DID93RRcV46DgED0ljXoLWvM81fORV0+Dtedz4Bt43w5udpj7tcqgXlb9jLklemmXR7ev/Cxy9/8kq9vu5Kc/HxunzaTPNvB0ZpeTRsw4kyzdMJTMxaS77G58UMz07FL41gmXnruScelN65EteuO68HXIT8X+9NiswjGv4D9kkmc21++Y5aACghEb1qF3ujCztcAACAASURBVGRGbzpzvsIafS9Wr0HojFScD180T45rjOvaO0FrdNJenM/eKHrTwCBU6y44X5z89643r0K16Yprwssm/mKv6brzGex/m5mj9rfv47rqVm9dWI3evLq8lyykOvQ0Cex8Py1X4jg409/EdceT5ri3aDYc3IN1yXXo3VvRa5egF85C3TAB18R3zHHv3ef+/DXDInHdYuo7/8/efYdHUS3+H3+f2SQk9B6q9ColgBQbgg3FgmK9YAEUxQ72gh3xwrV9bRewF+ztKiqKIsULiIJU6b0mEAgtkGRnzu+PCUmWZNXAbpbc3+f1PPe57s6Z2c8uk5kzc8o4AbzfpmL/mBOZvIXyl9Lj2xGeR0zHHpgmbf3e2wcyQ9aPOs8la8xTJD36f/5x+YcJ/nG5/2DcFUtxZ08nYWDucfle/wai3ZbKgREle1w+0uvqp35eTGa2y7Bv/Kk061Qoy0vnR34qULv0d0zLjgTued4/d3ycf1wKDB2N+5zfYcL94lUCl96Ye7ybh136OwDOBddAXByBwf41uF2/Au+zVyKeMy/v8vmY5ikEhj0FOdm4BT4rcOMI3Jf9R1i6X71FoO91EB+PXb4Au6LguW4wgZuf9B/G+6l/rrS//JB/DsTgzZ0GqZHveNO9cR2mrdrCWeMmkBgX4Ine+Q0FF77xLZ8PPJutuzMZO3MxjatW5KI3/Qab/h2bc3H7JpzUqDYz1mzl3Fe/JmAMd/ZICRk1HQ3d2zRj2qIVnPXgCyQmxPPE1X3yM48Yw+fDh/zJ2vDUZz+wdMNWjIG61SrzSP9zoxfW8wi+/QLxd4/CGAd32rfYTesI9B2AXbMM7/eZmEYtiL/tUShXHqfD8dgLrybnfv+ZffEPPIepXR8Sk0h47gNyXnsKu/C3v/hQEfk7jC3iCedydPm7IxKOFoEB9/9lmaPNkHIReqhfCbmm1tH1wN6/o+Pwy2Idofh2/O1BREeFLZ/+N9YRiq32zZfEOkKx2QXzYx2hWA6sKn0PpE86pVOsIxRfKXteT/achbGOUGzu7sOZTTK2Ejs0i3WEYjFtYjuq73DYX2P0UOzDlZAQ6wTFt6sYPdyPEjk79/51oaNIQqe2sY5QbPunlr6bcklnn/LXhY4idu2aWEcovjLRvRkeDaZR7KbFPSyNmv91maNM8I3XYh2h2Mq8/aP61h+Gl8pXL1X3L2Ptpr3bS91+VrquekVEREREREREREREpESpIUFERERERERERERERMJSQ4KIiIiIiIiIiIiIiIRVWh62LCIiIiIiIiIiIiJHIfVW/9+nf2MREREREREREREREQlLDQkiIiIiIiIiIiIiIhKWGhJERERERERERERERCQsNSSIiIiIiIiIiIiIiEhYakgQEREREREREREREZGw4mIdQERERERERERERERKL8fEOoFEm0YkiIiIiIiIiIiIiIhIWGpIEBERERERERERERGRsNSQICIiIiIiIiIiIiIiYakhQUREREREREREREREwlJDgoiIiIiIiIiIiIiIhBUX6wAiIiIiIiIiIiIiUno5mFhHkCjTiAQREREREREREREREQlLDQkiIiIiIiIiIiIiIhKWGhJERERERERERERERCQsNSSIiIiIiIiIiIiIiEhYakgQEREREREREREREZGw4mIdQERERERERERERERKL8fEOoFEmxoSSgG7YX2sIxSLt2ZBrCMU2zW1Ksc6QrG9tjUj1hGKpcPmzbGOUHx79sQ6QbFYG+sEh2FbWqwTFJuXmRXrCMWSeGyDWEcotpyFS2Mdodji6iXHOkKxxFevGOsIxZbQqkmsIxRfqzaxTlA85UvffnFg+aZYRyi2pL5nxzpCsdg1q2IdodhsaumqJ9vdu2MdodiSjm8X6wjFZpf8EesIxWKzcmIdodhM5dJ3HiFta6wTFE/GjlgnKLa4zimxjiAiEaKpjURKodLWiCAiIiIipa8RQURERETkIDUkiIiIiIiIiIiIiIhIWGpIEBERERERERERERGRsNSQICIiIiIiIiIiIiIiYelhyyIiIiIiIiIiIiJy2EysA0jUaUSCiIiIiIiIiIiIiIiEpYYEEREREREREREREREJSw0JIiIiIiIiIiIiIiISlhoSREREREREREREREQkLDUkiIiIiIiIiIiIiIhIWHGxDiAiIiIiIiIiIiIipZdjYp1Aok0jEkREREREREREREREJCw1JIiIiIiIiIiIiIiISFhqSBARERERERERERERkbDUkCAiIiIiIiIiIiIiImGpIUFERERERERERERERMKKi3UAERERERERERERESm9HEysI0iUaUSCiIiIiIiIiIiIiIiEpYYEEREREREREREREREJSw0JIiIiIiIiIiIiIiISlhoSREREREREREREREQkLDUkiIiIiIiIiIiIiIhIWHGxDvB3GGNcYCFgABe42Vo7wxhTB3jeWntxbrn3gWOBN4BvgQ8AC1xsrV0VhVw9gGxr7Yzc10OATGvt25H+rL/LOe9qTIsUyM7G/eTfsHlt4UJ1GhG4ZAjEJ2CXzcP76q2QxeakcwiccwXBx6+DzD2YlBNxup/v//pZB3C/eA22ro/q97DWMvK195k2dyGJZRIYefMgjm3SoFC57JwgI159j9mLluE4hqH9LuTM4ztFNdtBFXuewjGPPYIJBNj23gdsffHlkOXVLr2Y+g89QM6WrQCkvvEW29/7gIR6dWn6+jiMcTDx8aS+/ibb3n63RDL/mStfe4m2557FnrRtPN62W0yzOOdchWnRHnKycT8dG2Y/bkjgoiEQH49dNh/v69A/O3NibwK9+xN84nrI3AuJZXEuug5TNRmCObifjoO0jRHPblp1xOl7LTgBvJnfY3/4NLRAXBzOFcMw9ZvCvt24b/4LdqRhWqTgnH8VBOLADeJ98SZ2xYKI5ytK4gknUfmeB8Bx2Pf5J+x5/ZWQ5eUuuYzyl/UH18Xuz2THYw8RXL2Ksr3PpcLV1+SVi2/egtTL+5KzbGnUM5szLsM0aQM52XgT3oTUDYXLdO+DadsNEsviPX1b/vsdumM69gDrQXYW3rfvQvqWyGc89jji/jEEnADu9G/xvv0otEBcPIFr7sJp0Ay7dzfBsSMhPRWna0+cXpfkb6deI4KP34TdsJq4u0ZjKlXFZmcDEHz2PtizK+LZD3LOH4hp2QFysnA/ehk2rSlcqG4jApfe5J9Tlv6O9+Ub/rrnXIFp1QncIDY9Fe+jl+FAZvSytu1M3JU3g+PgTvkGd8L7IctNi3bEX3ETpn5jcl56HO/Xaf77xzQhfsBQSCoHnkvwy/F4v0yJWk6IzrmaMkk4l92EqVzdP/5Mn4CdMzUieU2rjjgXDQbHwZs5CTvpk9ACcXE4V96Oqd8E9u3BfWM07EiDBs0IXH5z7kYM3jfvYRfMKrBhh8Bdz2B37cAb+1hEsuZtulc/TLO2/jHiP2HqLbUb4Jx/jX8eWbEQ+917/vvJ9XHOuRLiE2HXdrzPxkH2AUybbpgTzspfP7ke3rhHizz+HAlrLSO/nsG05etJio9j5EU9aF2nRqFy1731Ndv2ZBL0LJ0a1OLB804i4Dg8/8OvTF6yFmMM1colMfKiHtSsWC6iGf8y/2eTmbZktZ+/X29a108OW/6mVz5jQ/ouvrx3YIllDHTsRpnBw8BxyJn0JTmfvBOy3Dk2hTKDh+E0bMKB0Q/izvgpb1nC1TcR6HwCADkfvEHw5x9KJLO1lpE/zGHaqs3+73pON1rXqhpSZn9OkGFf/MyGnXtxHEPPpnW5vUcKAP/8YQ6/rE8F4ECOy47MA/wy7JJCn3OknN5XYJq1988bn78CW9YVLlS7IYG+gyEuAbtiPt43fj3YueQmTPVafpnEsnAgE/ffD0JSeZzLb8bUaYydNx3v63cKbzMS2VO6kjBoKDgOwR+/Ivh5aP3cad2ehIG3YRo0IfuZh3FnTfHfb9ORhAG35pUzdY8h+9mHcWdPj0pOiM7vbJoci3PGpfl10e8+wK5ZEvHsfh2uLQSz8b56E1ILH5/NKRfk1+GeKvDbdjkdk3ISeB5k7sGb8Bbs3hHxjCFZonUOjGTGYzsRuOwGP+PPE/EmFlHnHHgnpkEz7L7duOOehHT/eEDdRgSuuBWTVBasR/CJWyGYgzmuO4He//C3ueAXvM9ej3juqNQz6zchcNH1eat7kz7GLv414tkBzOmX5l+PfP1W+OuRNl39ffmZofnvp5wcej0ycXxUrkcK5el5EaZRaz/zd+OLvB42J56Dad0FypTFe/Gu/PdPuRBTv5n/Ij4BksrjvXxv1DND7jlw+mKmrUsjKS7AyNNSaF2zUkiZ/TkuwybOYcOuff45sGEyt5/QqkTyST7HxDqBRFupaEgA9ltrUwCMMb2AJ4FTrLWbgYONCLWAztbaprmv7wU+sdaO+LsfYowJWGvdYuTqAewFZgBYa8cUY92IMy1SoFot3KeGQf2mBC64BvflBwuVC1wwCPezV2DDSpwB92Cat8cun+8vrFQV06wtdue2vPJ2RxruuMfgwD5M8/YE+g4ucruRNG3uQtZtSWPiSyOZv3w1j417lw9HPVCo3NhPv6ZqpQpMfOkJPM9j1959Uc2Vx3FoMHIEyy/rT/aWLbT+9isyvp/EgeUrQort+M9XrH/goZD3clLTWHLuhdjsbJyyZWkzZRIZ300iJzW1ZLKHMfPN8Ux5cRwD3h4b0xymeXuoXgv3mTv8/fj8gbhjHi5ULtBnEO4Xr/r78dV3h9mPt+eVd3r0wW5Zjzf+OaheG+f8AXivPxnh8A7OJdfjvvQQZKQTuPNp3EWzYWt+pdJ0OwMy9+I+fj2m48k451+N9+a//Er92BH+xVDtYwjc8CjuQyVwU8VxqHL/Q6RdPwg3NZXk9z5m/5TJBFfnt71mfjOBfR9/CEDiKT2pfOe9bL9xMJnfTCDzmwkAxDdtTvXnXiyRRgSatMFUqYk35kGo0wjnrP54b/2zUDG7cgF2zk84Qx4PfX/xbOzv/k1kmrbDOf0SvA+fj2xG4xDX/yZynrkPdm4nbvgLePNmwZb8i2XnpF6wby859w/E6XwKgYuvwR07Eu+Xn/B+8W9amboNibvpYeyG1XnrBV8ZhV23otBHRppp2cH/Wxx9KxzTjMCF1+K+WPg4HLhwsN/gt34FzqD7MC1SsMvmYZcvwPv2PfA8nLP74/S8EO/b8VEK6xB39W3kjLoLu2MbCY/9G2/uDOzmAjdW0lPJGTeKuN6Xhq6bnUXO2H9iUzdB5WqUeXwMWQt/hczonE+ida42x58JaZtw334KylUgcPszuPN+Brc41ZqiAjs4lwzBfelB/7h21zO4C38JPa4df6Z/XHss97jWZwDeG6Nh83rcfw3zb/hUrELg3uf9Y6Ln+ev1OA+butG/kRVJTdtiqiXjvXgf1G2Mc85VeK8Vrg46va/0GyI3rcbpNwzbtC2sXIhz7gC8Hz6EdcsxKSdhTjgbO+Vz7KJZ2EW5N4Fq1sW59JaINyIATFu+gXXpu5g47HIWbEzj0S9/5sMhFxYq98xlZ1A+MQFrLUPfn8R3i1bTu11TBp3UnltP7wzAOzMX8vJPc3ikT/eI5wybf8ka1m3bycQHrmXBui08+vEkPrz9iiLLTpq/nLJlEkosGwCOQ5khd7L/wVux6WkkPfMGwV+mYzeszStit6WS9dzjxF/YL2TVwHEn4DRpwf5br4L4eJKefJngnBmwP3qNpAdNW72ZdTv3MPH681iwOZ1Hv/uVD6/uVajcwC6t6NogmWzXZdD7k5m2ajPdm9Th3tPzO9q8+9sylqTujHhG06wdVEvG/b+7oF4TAucNwB33aKFygfOuxv3P67BxFc6Vd2CatcOuWID38Ut5ZZxe/8Bm5f6uwWy8Hz/D1KyLSa4X8dz+BzokDL6DrMeGYtPTSBz1Ku6vP2M3rs0rYrelkvXiE8Sf/4+QVb1Fczlw5wD/RfkKJL34Ee682dHJSfR+Z7tvL+74Z2FPBtSsS+Cqu3CfGlpou0ekSRtM1WS8McML1OEK18ftivnY337CueGQOlzqBuzrIyGYjel4CubUi7BfvFJo/YiJ4jkwkhkD/W4i+Oz9fp3z/ufx5h9S5zyxFzZzL+7wQZjOpxDoOwj3lSfBcYi75m6Cr4+GjWugXAW/3lCuAoGLryU44hbYu4vAgDswLVOwS+dFLna06plbN+A+f6//O1eoTGDYv3CXzIn8794493pk7EP+vtyrH97bowoVy7seuT60w4T941fsvNzGxqbtcE67GO+jFyKb8VCNWmMq18B7/XGo3RDntEvx3n+mcObVi7HzpuMMDK2f2qmfY3P/26R0h5pROh4XYdq6NNZl7GPiFT1ZkJrBo1MX8uElJxUqN7BDY7rWq0626zHoi1lMW5dG9wY1SyynyP8PSuPURhWBnQDGmIbGmEW5738P1DXGzDPGPAwMBW4wxvyUW/YKY8zs3OVjjTGB3Pf3GmOeNsbMB443xlxljFlgjJlvjHknt8x5xphfjDG/G2N+MMYkG2MaAkOAYbnbPNkY84gx5s7cdVKMMbNyt/W5MaZK7vtTjDGjcrMsN8acHKkfxrTqhP0992S0YaV/YV6hcmihCpWhTJK/HLC/T8e0Pi5vsXPOVf4JuaD1K+CAf0PFrl8JFUN7P0XD5Nnz6NPjeIwxpLRowu59maTtyChU7rMff+a6vr397I5DlYoVop4NoFyHFLLWriVr/XpsTg47/vMVVXqd+bfWtTk5eb2JTZkEcI6OP8OV02eQuSPyF5XFddj7cav8C2Sn95V4E9+HvKoOULMudtVi/7+3b8FUrgHlKkY2fINm2G1b/B4+bhBv7nRM266h369tV7zZk/3c8/7rN5wAbFyd36Nqy3q/l0dc9Nt6E9q0I2fDetxNGyGYQ+bEb0jqcVpIGbsv/4aqk1QWrD10M5Q9+xwyJ34T9bwApln7/Jt5m9f4+0JR/5ab18C+3YXfzz6Qv62EMkV+nyPO2KgFNm0zbN/q7wuzp+CkHB9Sxkk5Hm/GJAC8OdNxWqYU2o7TpSfer5HpVV5cpvVx2Lm5DS7rV/g99ov6W0xM8pcDdu40zLH+DUy7YkHeRZtdvxwqR+/cYZq0xKZu8v/+3CDurMk4nU4IKWO3p/oNMjb0QtJu3eg3IgBkpGN3Z2AO/Z6RzBqtc7XFXwcgIRH2743MRXODZtjtBY5rc6YVfVz75Uc/RsHjWk5Wfob4hNC/tcrVMMd2xs78/sgzHsK06ICdP8N/sWk1lCkL5UN7rVG+kv97bfIb6ez8GZgWHfxl1ZJh3XL//dWLQ84veZ/Rpit2cXRuFE5espY+Kc0xxtC+fjJ7DmSxbU/hhq3yif4N+KDnkeO6GBP6PsD+7CDGlGzXsMkLV9Cn87F+/oZ12LP/ANt27S1Ubl9WNm9N+Y3rzyzZUZBOs9Z4WzZiUzdDMEhw2iTiuoY2tNi0LXhrVxY6Pzj1G+Eu/h08F7IO4K1ZSVyn0GN7tExesYk+bRr5v2vd6uzJymbb3v0hZZLi4+jawB/9kRAI0Dq5Cql7CjdyfLNkHee0LjzS90iZlh2x8/7rv9i4yj++hfvb2+h3WLDz/otp2bHwttp0ye+9nZMN65dDMCfimQ9ymrbKPR/k7hc//0igc+hlmt22Fbtu1Z/WGwLH98T9fRZkZ0Uta9R+563r/EYEgLRNEJfgj06IZPbmKdiFM/0Xm9f4dYhylQoX3LwG9hUx4nLdMgj611F202pMhSoRzVdItM6BEeTXObfk1zl/nYrTPvS4ZFKOx870R0/ZOdMxrfw6p2ndCbtxjd+IALBvD1gPU722Xzfa6/8beEvnYTqeGNnc0apn5mTn/+5x8dH73Zu1i9z1SBT3j4JMk7bYP3LrLlvWhs+8ZW3RmQtuq2Un7NI5EU4Y3uQ1qfRpWc8/B9aqwp6sHLbtOxBSJik+QNd61QFICDi0rlGR1EPOkyJy5I6OO5h/LSn3Zv1S4FXg8SLKnA+sstamWGsfBcYAz1prexpjWgGXASfmjmxwgf6565UDfrHWtsdvoBgOnJr7+uBcGD8D3ay1HfCnS7rbWru2wGekWGsPHbv6NnCPtbYd/rRMBbtUx1lru+A3dhTuan24KlXFZqTnvbS7dhS+6V+xKrbA8E+7Kx0q+WVMq07+jcw/mbbIdO6BXR65ngjhpO7IoFb1/Oy1qlUp1JCwe59/YfT8+1/Q947HGPqvf7M9I3pTfBSUUKsW2Zs2573O3rKF+FqFh+1XOac3x/74HU1eGUNCndr569epzbE/fkf7Ob+w9cV/x3w0wlGlYlV/v8xld++AiodcJFSs4u/fB8sU2NfD7sdb1uPkVjyp1xgqV8/b9yPFVK4GGfmjIMjYjqlULbRMpQJlPM9vpCsX2gBmUk7AblwFwWBE8xUlUDMZd2v+MFo3bSuB5ML7cvnL+lF7wvdUGnYnGaOeKLS8bK+zyZz4dVSzHmQqVA45jrEnA4p5IWk69sAZMgLTsy/epA8jnBCoUi2ktzg7t2OqVD+kTPX8Mp4H+/dB+dDKvNO5e97ohIMCA+8g7qGXcc4N7SkbcZWqYgvszzYjvfDfTKVD/l6LKgOYzqdGtBdboe1XqY7dkZafY8d2TJXCU8H85XYat4RAnN8IFC1ROlfbmd9BjToE7nuZwG2j8b56OyIXpaZyNdhZ8LiW7r9XsMyhx7X9+/IvTBs0J3D/SwTuewHvw5fzLu6dvoPx/vNG5HsIAqZClUOOETsKHyMqVIHd+Y3nds+O/BtS2zZDbqOCad25yA4UpnUX7KJfIp4dIG3PPmpVyp+KKLliOVJ3F93jffCbX3Pyk29TrkwCZx7bOO/95ybN5tTR7zJh/gpuOe24IteNlrRde6lVJf+8lly5AqlFNCS88M3PDOh5HEnx8SUZD1OtBnZ7geNFehqm2t87XnhrVxDX8XgoUwYqViLQrhOmevhpmyIpbU8mtSrkj95JrlC2yEaCg3YfyGbKyk10a1gr5P1Nu/axMWNvXoNDRFWsGlo/2x3u+Lbzz8s0aAF7d8OOkqsfm6qH7Bc7/v5+UVDciacT/HlSJKMVVgK/s2ndGbtlHbiRrYua8pVDcrFnZ+Gbx393W+1Pwq5e9NcFj0C0zoERVbka7Cgwm0DGdqhySMbK1bA7Ctc5TXJdwBK47Qnihr+I0+tifxvbNmNq1fMb1h0HJ+X4w6pX/alo1jPrNyVw+9MEbn8a77NXolTXqIzdU3Bfzij2vmw6noJz/eP+9cgPH/31CkfIlK+E3VPgnsrejMKNkH9HhSr+8WTD8siF+wtpew9Qq3xS3uvk8omk7j0QtvzurBymrE2jW73qYcuIyOEpLQ0J+3Nv1rcEzgLeNsXrXnUa0An41RgzL/f1wastFzg4ifmpwMfW2u0A1tqDNbR6wHfGmIXAXfjPYQjLGFMJqGytPdiN9C2gYFenz3L/fw7QsBjfI3riE3B6XoA36eOwRUzj1jjH9czt6R17ruuyNX0nHVo04bOnHyKlRRNGvxU+f0nLmPQDC7qcwOLTerF72nQa/V/+sMHszVtYfFovFh7fnWqXXkxcdZ3gIiI+AeeU8/F++KTQIm/aV5BYlsDNI3G69fJ7WpRAz49iq1Xfn+7ow5f/umwJ2vvhe2w590x2Pfc0FQffELIsoW07vAMHyFkZ/el2IsXOnYI3Zjj2p88wJ/aOdZwimUYtsNlZIdPzBF8ZRfCRIQRH3YHTrA3O8afHMOHfY069EDw3vxf+0apSVeKH3EfOK6OPzmMD/Om52jRvB1vW4T55I+4L9+KcPyB/hEIsrVuOO/Im3H/djnPmJRAX7/cm3LsLNkT88VUR4X35Os5xPXGufcgf3XHojbS6jf0ej9s2xSZgAa8MOIep91xJdtDll9X5DWBDz+jC5Luv4Nz2zRg/K7o32g7Hko2pbNiewentmsc6SrG4v88mOGcGSaNfIfHOx3GXLvJHJxxlgp7HnV/+lyuOa0H9yuVDln27ZB1ntjiGwFEyIrYoTttueAd7rZcmlavhHNMYb150GhkjLezvXKMuzpmX5s1FfzQyx3bF1G6AnRX5UW0RVcQ58KjiBDBNj8V9bRTB0XdgUk7EtEzxp2oa/yKB6+4jcNfT2O2phUZ0Hi2KrGduWIn7zB24L9yH0/PCo+93z2XnTsUb+yB2yueYE86OdZy/zbTshF0x76itLwc9jzu/m8sV7RpSv1LJPSNK5P8XpeUZCXmstTONMdWB4jSJG+Ata+19RSw78Deei/AC8Iy19svcByw/UozPLsrBsa4uYf4NjDHXAdcBvHzWcQxOaVrkhky3M3A6nwqA3bja722Qe8/JVKpa+OFTu3dgCvRGMZWqwa4dUDUZqtQgcFvuvH4VqxK4ZSTuS8P9i/1ax+D0vQ73zX/6D66NgvHfTuaTSX4FoE3Thmzdnp99a/pOalYNbeGvXKE8SWUSOKObP0y31wnH8cmPP0cl26Gyt24loW6dvNcJtWuTszW0N4+7M7+1f9v496k3vPDul5Oayv6ly6jQtQs7vy6ZaWGORqbrGTidewK5+3GlavnzL1asGtJrFIDdO/39+2CZg/v6wf34lty5VitWJXDTE7j/fgj27vIfmJkrcOdz/oPQIshmpPsPOj2ocvWQXjSQ27O4cnXISPentUos5w8jBqhcjcC19+O+85w/PLkEuGmpBGrlj5YJ1KyF+ycjZDInfk2VB0IHUpXt1ZvMb6M7GsF07OE/XA+wW9ZiKlbFknsTskJlv0fbYbB//IbTqz8RrwbvTA/tuVWlesgzO/wyfq95u3O7vy8klfN7BuZyuvTAmz0ldJ2DPdmz9uP98hOmUQuYGbkHfZrje+F09ae2shtWYSpXx7LMX1Y593xR0K4dIaNuDi1jOp2C06qT/5ydKLI7t2Oq5s9/aqpWDx0R8lcSy5Jw55MEP34NuyoKNDFouQAAIABJREFUD5YsgXO16dQDb+p//PfTU/3vX6NO3rQWh8tmpIeOpqlcLWREBRRxXEsqV3hIfOpGbNZ+qN0A07gVpk0XAq07+dM9JJbFuep2vLcLz9P7d5njTsV09Pts2M1rco8RuSpULXyM2LMzZLSbqVA1v2dh+la88blZqib785EX/Kxju2AXR/ZG4XuzFvHxb/4zZtrWrcHWXflTGaXu3kdyxfDPkSgTH8eprRoyeclaTmgaOl/xue2bMuTtb7nltM4RzXuo96bP5eOZCwBoe0xttu7ck7csNWMPyZVCb2bPX7uZRRu2cvqjY3E9j/S9mVz9wge8dcvlUc0JYNO3YaoXOF5Uq4lN//vHi5yP3iTnozcBKHPno3ibwo/kPVLvzVnOx/P9Kc7a1q7G1gIjEFL3ZJJcoej94uFvZ9OgSgWu6tyy0LJv/ljHg2dGbpSK6XIaTqceANhNazCVqh5Shyvq+Fbgb+/QMo6DaX0c3pjQZ4xFm91xyH5RtXj7BUDciafizp525M+mKUKJ/c4VqxD4x224n42DnZGpJ5tOPTAp/jRRdvNaTMUqBY7PVfKnU/q7GrbCnNgb792nIj5i4lDROAcenLYwYjLSoWp+ndNUrg47D8mYke6PuskIrXPajO3Y5Qvz6p920a+YY5pil87DLvgFd4F/rjMnnx2RhoQSr2embcJmH4Ba9f1pZI80f8dTMO0PXo+s80dAHlxYoXLx9+Vc9o/fcM7sh+WtI854KNP+ZExbf6orm7reH0lxcGH5ynnTVxVrmy064v0Y/Q6c7y1Yy8d/+OfYtjUrsbXANEWpew+QXD6xyPUe/mkhDSqX46qUxkUuF5EjU+oaEowxLYEAkA783afz/Qj8xxjzrLU2zRhTFahgrV13SLnJwOfGmGestenGmKq5oxIqAQe7nV1doPwe/Gc2hLDW7jLG7DTGnJw75dGVQLEmubbWjgPGAQTv+0fYe1x21iTcWf7wWdOiA+b4M/15ges3hQOZhU9mezIga7+/fMNKTIeT/ekQUjfgPjEkr1jg7uf9hx1l7oFK1QhcMQz3o5eienOz/9mn0v9s/0bLlN8W8N63k+l9UhfmL19NhbJJhRoSjDH0OK49sxcvo1vbVsxasISm9WoXtemI2zdvPmUaNSKhfn1ytm6lap/zWHXjrSFl4mvWJCfNr4BX7nUGB1b4lcb42rUI7tyJPZBFoFIlKnTpTOq4V0sk99HK/jIJ95eD+3EKptuZ2AUz/f00a3/x9uMnb8wrFrjzOdyXh/uNX4ll/blKXRdzXE/s2qX+NiJp/QpMjTr+zb5d6TgdT8Z966nQ77poNk6XU/HWLsOknOjP7wmQVI7A9Q/hffk2rIn8jcxwshcvJP6YBgTq1sVNTaPsWb1Jv+/OkDJxxzQguN4/XCZ275H33wAYQ1Kvs0kb0J9osnOnYOdO8V80aYPTqSf2j1+hTiP/3/Ev5vEMUaVm/sVx07YRu1AOybt2mT9cvHoy7EzH6dID95XQB0J782fhnHAG7uolOJ1Oxls6P3+hMTjHdSdn1B357zkOlC3vX+wFAjjtuuIt+T2yuWd+hzvzOz9Cyw6YE87y52E+ppn/MNGi/hYP7PeXr1+B6dgdO2Oiv37z9jg9+vgPS8/JjmjOQrlXL8XUqoupUQu7YzuBbqeS83LhKbiKFIgjfuhjuD9/j/frtOjkK4lzdcZ2nCZt8NYug/KVMNVrR6ax9OBxrVoyZKTjdOqO++Yhx7WFv+B0PS3/uLY897hWLRl2bvOnFKhSw39I6o40f9qlr972f4+mbTCn9T2iRgQA+9tk7G/+82do1g6n82n+zf66jSErs/CF8t5d/m9ctzFsWo1pfwLe7NxGubIV/N8Ugzn5POycKQVWNJjWnfHeLPyA9yPRr1sb+nVrA8DUZesYP2sxvds1YcHGNCqUSaBGhdAedfuycsjMzqZGhXIEXY+py9bRqaFfB1q7fRcNq/tTFUxeso7GNaL3zI+8/Cd3pN/JfseOqYtXMX767/Tu2JIF67ZQIakMNQ5pSLj8pA5cfpI/fdSm9F3c8MpnJdKIAOCtWIJTpz4muTY2fRtx3c8g66m/edPacaBcedizG6dhU5yGTXF/j95Ddft1ak6/Tv6ojakrNzF+7nJ6t2rAgs3pVCgTT43yhUcd/d+0+ezNyuHx3l0LLVudvovdB7JJqRu5kbB29o+4s/354U3z9piup2MXzoJ6TfzjW7i/vXpNYOMq/5gxK38qINP4WNi+pXAnkijzVi7F1K6HqVkbu2MbcSedRtZzhR9g/GcCJ51BzvgxUclXIr9zYlkCV9yBN+mjvDnpI5J9zpT842iTtjjHHVqHK8aNzOT6OGdfgffB/+Uep6MsCufASLNrl2FqFsjY+RSCr4Y+9NfOn4U5/nTs6iWYTidjc+ucdvEcTK9LIKEMBHMwzdvi/fC5v1KFSrBnF5QtT6DHuQTHjjzyrCVRz6xSA3al+7975er+b7OjeI2CYfPPnYqdm3tbp0kbnI49sEt+y92XDxzB9UibqFyPANj507Hzc0drNGqNk9Idu2wu1G7oP6ehOJnBz10mCbasiXjWQ/Vr15B+7RoCMHVtKuMXrKV3szosSM2gQkIcNcoVbkj4v1lL/XPgqe0KLZOScfSOd5RIKS0NCUm5UxKBP7rgamut+3dnN7LW/mGMGQ58b4xxgBzgJmDdIeUWG2OeAKYaY1zgd2AA/giEj40xO/EbGxrlrvIV8Ikxpg9wyyEfezUwxhhTFlgNDCzG9z0sdtnvmBYpfk/rnCzcT8bmLQvc8iTuC36PePc/bxC4eAjEJ2CXz8Mu+/N5q53T+voViD6D/Dc8D/elB6L2PQBO6dSWaXMX0uvG+0ksk8DIm/N/vgtvf5TPn/F7RN9x5cXc8/yrPPn6B1StWIEnbo76z+xzXdbf/yAt3n8HAgG2f/AhB5Yvp85dt5M5fyEZ308i+dqBVD7zDGwwSDAjgzVD/RuCSc2aUf/h4f5QQGPYOmYc+5cuK5ncf+Ka916neY+TKF+9Gk9uWMJXD49kxuvvlHgOu2wepnkKgdufgZxs3M8K7Mc3j8R98X4A3C/fIHDR9RCXgF0xH7t8frhN+mrU8fd7a7Fpm0JGJ0SM5+F9MpbAjY+A4+DN+gG2bsDp3Q+7fiV20WzszEmYK28n8OBYyNyD++a/ADAnnwPVa+OcdRmcdZn/HV9++LB6iRSL67Lzycep8e/XMI7D3i8+JbhqJRVvvIXsxYs4MPUnyl/en8Rux2Nzgnh7dpP+4L15q5fp1Bl36xb/Yc0lZdUibJO2OENGQE423tf5vXecQcPxXh8BgOnZF9O6iz8dzE3/xM7/GfvzBL9nXMNW/nQUBzLxJkRh6L7nEXzvJeKHjgTHwf3v99jN6wj0uQpv7XLs/Fl40ycSd+3dxI98A7tvT8gFmmne1p/LtmDjbVw8ccNGQiAAJoBdMhdv2reRz57LLv0d07IjgXueh+xs3I/zp9sKDB2N+9zdALhfvErg0hv9c8rSedilfuOGc8E1EBdHYPCD/vbWr/DnqY0GzyP49gvE3zUKnADutG+xm9YS13cA3prleL/PwDRqQcLQx6BceZyU47F9B5B93yCcrj1wWrTDlK9I4OReAOSMG4VdH51pd6J1rvYmf45zyZDc0QrGn4YwEjdZPA/v4zEEbnwUzMHj2nqc3v2x61fkH9euup3AQ2P96RDeGA3kTol4xsV+j1Fr8T4aU/wL1sOxYgG2aTucm//pHyO+fD1vkXPdI3jjHvG/2jfv4vQZ5J9HVi6ElQv93G26Yg6OIFk6FzuvwGjHBs39Xr0ZkbkpUZTuzY9h2vL1nPXMByQmxPFE3x55yy588RM+v/li9ufkcNO735EddPGspUvjOlzWuTUAz37/C2u2Z+AYQ53K5Xm4T/cwnxSl/K0bM23Jas4a8QqJCfE88Y/86RouHP0mn989oETzFOK5ZI15iqRH/w8ch5wfJuCtX0NC/8G4K5bizp6O06wVifePwpSvQFznk/D6D2b/Tf0gEEfZf/p/szZzH1lPP1JiUxt1b1KHaas3c9bYr0iMD/BE7/yHVF/4+jd8Pqg3W3dnMnbGYhpXq8hFb/jnh/6dmnNxe39k8zd/rKN36wZRewC3XT4f06w9gaH/8utwn+d3lAnc8Djuv/3zgTvhbQIXDob4eOyKBfmdKgDTthvegsLT7QSGPe3fvArEEWjZCfft0f7zTCLFc8l+9VnKPPgMOAGCkydgN6wh/vJr8VYuxf3tZ5wmLUm450lMuQoEjjsRe/m1HBh6hZ+7Ri1MtZp4iyPbwF+UaP3OpuvpUDUZp0cf6NHH38bbo/NHzkbCqoXYpm1wbnjCPz5PeDNvkXPNg3iv+Y9CND0vwhybW4e7eZRfh5v+Fc6pF0NCGZy+1/sr7dqB98lLkct3qNJwDvQ83PdfJm7oE/71x3+/hy3rcM6/ErtuhV/n/HkigWvuJm7E69h9e3BfyR29nbkXd9JnxN3/vJ9x0a/YhX7jaOCyGzD1/Nse7tfv+Q/gjqBo1TNNo5Y4PS7wj83Ww/v8teg0Oq1ahG3cBuf6x/19+ZsC1yMDH8B7w+/QYnr09Z+3FJ+Ac+OT2AX/zb8eadAy/3rk6zcjn/FQa/7ANjoWZ9BDEMzG+258fuYr7sZ7N3ffPfl8TMvjID4eZ/Bj2EUzsTP9c4pp2clviChh3RvUZNq6NM565ycS4wI8cVr7vGUXfjCNzy/vzta9+xn720oaVynPRR/6jSf92zbk4mOPKfG8Iv/LjD1K5zWTfH82IuFo5Fxx418XOsrMOT26vakj7bWthzdsMpZevP+8WEcovj0l0NMpgrZMLbkHXkVKnctPiXWEYnNXrY11hGJxqh7GQ9RiLLhl+18XOsrE1SuZB65GzN7oTFMYTaZGhB/0WBJatYl1guIpX2ig7VFv/8ula1RnUt/SMw/2QXbN0fk8kz+Tvbh0ZU44tkmsIxSbSSx6WpGjmd2yJdYRisVm5cQ6QrGZyqXvPGKqFn6A81EtISHWCYov/uh8TsWfCdzydHRa3f/HvVe5Zqm6fxlr/TLSSt1+plEnIiIiIiIiIiIiIiISlhoSRERERERERERERESOIsaYs4wxy4wxK40x9xax/FljzLzc/y03xmQUWOYWWPZlJPKUlmckiIiIiIiIiIiIiIj8zzPGBICXgDOAjcCvxpgvrbV/HCxjrR1WoPwtQIcCm9hvrU2JZCY1JIiIiIiIiIiIiIjIYSt1E/4f/boAK621qwGMMR8AfYA/wpT/B/BwNANpaiMRERERERERERERkRJijLnOGPNbgf9dd0iRusCGAq835r5X1LYaAI2AyQXeTszd7ixjzAWRyKwRCSIiIiIiIiIiIiIiJcRaOw4YF6HNXQ58Yq11C7zXwFq7yRjTGJhsjFlorV11JB+iEQkiIiIiIiIiIiIiIkePTUD9Aq/r5b5XlMuB9wu+Ya3dlPv/q4EphD4/4bCoIUFERERERERERERE5OjxK9DMGNPIGJOA31jw5aGFjDEtgSrAzALvVTHGlMn97+rAiYR/tsLfpqmNREREREREREREROSwOUaPW44ka23QGHMz8B0QAF631i42xjwG/GatPdiocDnwgbXWFli9FTDWGOPhDyT4p7VWDQkiIiIiIiIiIiIiIv9LrLXfAN8c8t5Dh7x+pIj1ZgBtI51HUxuJiIiIiIiIiIiIiEhYakgQEREREREREREREZGw1JAgIiIiIiIiIiIiIiJhqSFBRERERERERERERETC0sOWRUREREREREREROSwmVgHkKjTiAQREREREREREREREQlLDQkiIiIiIiIiIiIiIhKWGhJERERERERERERERCQsNSSIiIiIiIiIiIiIiEhYakgQEREREREREREREZGw4mIdQERERERERERERERKLxPrABJ1GpEgIiIiIiIiIiIiIiJhqSFBRERERERERERERETC0tRGpcCBBatjHaFYAiOGxzpCsXUcflmsIxRLR8Bu3hzrGMVy88ivYh2h2F4YfEKsIxRLnStPj3WEYjvw89xYRyi2QPkysY5QLE5OTqwjFFvWhvRYRyi2rI07Yh2hWOKrlY91hGJLKF/6MpuVy2IdoVhWvfFjrCMUW5N7+sU6QvHszoh1gmIzFSvGOkKxBcolxjpCsWz75tdYRyi2mud1i3WEYtv125pYRyiWxOTS97dXpkK5WEcotr3fzYp1hGJZs7L0nUfa3n1RrCOISIRoRIJIKVTaGhFERERERERERESk9FJDgoiIiIiIiIiIiIiIhKWpjURERERERERERETksJlYB5Co04gEEREREREREREREREJSw0JIiIiIiIiIiIiIiISlhoSREREREREREREREQkLDUkiIiIiIiIiIiIiIhIWGpIEBERERERERERERGRsOJiHUBERERERERERERESi9jTKwjSJRpRIKIiIiIiIiIiIiIiISlhgQREREREREREREREQlLDQkiIiIiIiIiIiIiIhKWGhJERERERERERERERCQsNSSIiIiIiIiIiIiIiEhYcbEOICIiIiIiIiIiIiKll4l1AIk6jUgQEREREREREREREZGw1JAgIiIiIiIiIiIiIiJhqSFBRERERERERERERETCUkOCiIiIiIiIiIiIiIiEpYYEEREREREREREREREJKy7WAURERERERERERESk9FJv9f99+jcWEREREREREREREZGwjuoRCcaYasCPuS9rAS6wLfd1F2ttdgQ+Y4a19oTDXHcA8L21dnPu61eBZ6y1fxxprkgKdOpGmetuB8ch5/svyfn47ZDl8Rf8g/hefbBuELsrg6znRmC3bS3xnE77LsRfdQs4Du5PXxP88r3Q5S3bEX/VLZhjGpP9/GN4s6cCYKonk3D7CDAG4uIIfvcZ7g9fRj2vtZaR0xYxbW0qSXEBRp7RgdY1K4eU2Z8TZNi3v7FhVyaOMfRslMztJ7YG4LdN6Tw5bRHLt+/mqbM60atZnahldc65CtOiPeRk4346FjavLVyoTkMCFw2B+Hjssvl4X4fuJ+bE3gR69yf4xPWQuRcSy+JcdB2majIEc3A/HQdpG6P2HYpy5Wsv0fbcs9iTto3H23Yr0c8uyBzbicBlN4Dj4P08EW/iR6EF4uIJDLwT06AZdt9u3HFPQnqqv6xuIwJX3IpJKgvWI/jErRDMwXTuQaD3ZWDBZqTjvj4a9u6O3nc49WJMo2MhmI337TtF/luak87DtO4CiWXxnr+jwPfvijnlAti7CwD7+1TswplRyxro0JWEa4eCEyA46StyPnsnZLnTOoWEa27DadiErKcexp35U96y+KtvJK7TCWAc3Pm/kv3qs1HLGZKpXWfirrwZnADulK9xv3o/ZLlp0Y74K2/C1G9CzouP4f06zX//mCbEDxwGSeXAcwn+ZzzeLz8V9RGHxbTsgHPhNWAcvF9+wP74WWiBQBxO/9sw9ZpA5h7ct56Cnf5p2JzWF6fr6WA9vM9exS6bBzXqELj6zvz1qyXjffs+dtoEnLP/gWnTBazF7t2F997zsHtnxL5LXJcTSLz5Hgg45Hz9OVnvvR6yPOGSK0k450JwXWzGTjJHP4xN3eJ/l5q1SLrrEZyayWAt++69Gbt1c8Syhc3c+QQSb747P/P7bxyS+QoSeudm3rWTzNGP5GWu+MMcvDUrAfBSt5A5fGjU8wI4KV1JGHgbOA7BHycQ/OLd0OWt2pMw8FZMgyZkP/sI7qwpectM9WQSbrgHU60mWEvWyLuiVt9wzrsa0yIFsrNxP/l3mPNeIwKXDIH4BOyyeXhfvRWy2Jx0DoFzriD4+HWQuQeTciJO9/PBAFkHcL94Dbauj0p+c8ZlmCZtICcbb8KbkLqhcJnufTBtu/nH5Kdvy3+/8+mYlBPB8yBzL97Xb8HuHVHJeVDZk7tT84HhEAiw6+OP2DlubJHlyp/ZizovvsS6vheQtWgRie3aUfPxEX5uY0h/4Xn2TpoU1ayQW4f78Xemrd5CUnyAkWd3oXWtqiFl9ucEGfafGWzI2OvX4ZrW4fZT2gPw+cI1PDVlPjUrJAHQv0NTLm7fJPqZf/6Daeu2+fXO09rRukalQuWem7WML5dtYldWDnOu65X3/qY9+xk+eQE792dTKTGeUae3p1b5pKhmLk11CwDTtjNxV9yEcRzcqd/gTvggdHmLtsT1vwlTvzHBl0fknasB4u98EtOkNd6KRQSfeSCqOQsqc/xJVLzzfnAcMr/4hH1vvRqyvOxFl1H2kn7+eWR/JrueeJjgmlV5y53k2tT4+Cv2jnuJfe++cejmI8ac1Q/TrJ1/TPviNdi6rnCh2g1w+lzrX4usWICdmHstmFwf59yrIS4ePBfv63dg8xp/WYMWOGf1AycAmXvw3hoVte8AEN/tRMoNvRcCAQ58+SkH3nktZHmZCy8l8aLLwfWw+zPZ989HcNeujmqmohzNdWXngkGYVh398/MHL8CmNYUL1WtM4PKb/fPzkrl4X+TW6ZLK41x1O6ZKTezONLy3n4b9+wAwTY7F6TMQAnGwbzfuyw/lb884BIaNwu7agffakxH5HqWxDldQhR6nUPeRhzCBAOnvf0jay/8OWV71koup88B95Gz1r1m3vfkWOz74sEQzWmsZOX0x09al5Z73Umhds4jz3sylfLlso3/eu/7svPc37c5k+OT5/nmvTDyjzuwQ9fOeyP8PjuqGBGttOpACYIx5BNhrrX3qr9YzxsRZa4N/8zMOqxEh1wBgEbA5d1vXHsG2osNxKHPDXewffgt2expJz75JcNZ07Ib8E7a3ejmZQ6+GrCzievclYdDNZI0aXrI5jUP8wKFkj7wDm76NMk+MxZ3zX+ym/Eqm3Z5G9pgniTvn8pBV7c50sh66EYI5UCaJMv96A3fOf2FnelQjT1uXxrqMfUy86jQWbN3Joz8t4MPLuhcqN7BDU7rWr0626zHo8xlMW5tK94bJ1K6QxMgzUnhj7qoith45pnl7qF4L95k7oH5TAucPxB3zcKFygT6DcL94FTasxLn6bkzz9tjl8/2FlapimrXF7tyeV97p0Qe7ZT3e+Oegem2c8wfgvR6ZitnfNfPN8Ux5cRwD3i76hkWJMA6BfjcRfPZ+2LmduPufx5s/C7bk31xyTuyFzdyLO3wQpvMpBPoOwn3lSXAc4q65m+Dro2HjGihXAVwXHIfAZUMIPnId7N2Nc9E1OD3Px/vq3T8JcgQatcZUqYH32qNQuyHOGZfjjS98qLWrFmJ/n4pzTeH9xy6bi/3x4+jkK8hxSLj+Tg48fBs2PY3Ef71GcPZ07Ma1+Vm2byXr+RHEX9AvdNUWbQi0bMf+oVcBkDhyDE6bDniLfo9uZuMQd/Vt5PzzLuyObSQ8NgZvzgzs5gIX0emp5IwdRVzvy0LXzc4iZ8yT2NRNULkaZUaMJWvhbMjcF5FczkXX4Y55BDLSCQwbjbtoNqTm3+gx3U6H/ftwR96I6XASznlX+RdtyfVwOpyEO+pWqFSVwA2P4o68CbZtxn3q9rztBx55FbvwFwC8yV/At34Dijn5HJxel+F9PObIvweA45B42/3su/N67LZUyo95j5z/TsFbl3/x7q5Yyt7r+0HWARLOv4TE64ex/7G7ASh7/wiy3nmV4JxZkJQEno1Mrr/MfB/77hqSm3k8OTOmFs48pH+BzEPZ/9g9/sLsLPYOvizMxqOXOeHa28l6bBh2RxqJ/3wV97efD/n7SyXrpZHEn/+PQqsn3DKcnE/fwlvwGyQm+Te6o8C0SIFqtXCfGuaf9y64BvflBwuVC1wwCPezV/zz3oB7wpz3tuWVtzvScMc9Bgf2YZq3J9B3cJHbPWJN2mCq1MQb8yDUaYRzVn+8t/5ZqJhduQA75yecIY+Hvp+6HvvGVL9RukN3TM+LsP95JfI5D3Icaj78CJsGXk3O1q00+PQz9v34I9mrVoYUM+XKUfnqq9k/b17ee1nLl7O+r3+jJVCjBg2+nMDeyZP9c2EUTVu9hXU79zBxcG8WbEnn0Ulz+PDKMwqVG9i5BV0bJJPtugz6cArTVm+he+PaAJzdsj7Dz+gU1ZwhmddvY92uTCb2P4UFqRk8OnURH158YqFyPRvWpH/bBpw1fmrI+/+asYQ+LepyQct6zNq4nWdnLWPU6SnRC1ya6hbgX4tcdSvZo++GHduIf/RlvLkzQ87VNj2N4CujCZx9SaHVg998hElIxDn13JLJC+A4VLznQXbcdA1uairV3/6IrGk/hTQU7J84gcxP/Zt/Zbr3pMKwe9h563V5yyvefg9ZM6ZHN2fTdpiqyXgv3At1G+OccyXeayMKf51zrsL76g3YtBqn3zBs07awciHOGZfiTf0PrFwITdv5r98aBWWS/G29+4zfWFq2QnS/h+NQ7o7h7L5tMF7aViq9/iE5038KaSjI/u5rsj73OxTFn9SDsrfdzZ5hQ6Kbq4icR2td2bTsCNVr4z55MxzTjMBF1+E+f1+hcoGLrsP96N+wfgXOtQ9gWnbALv0d57QLsSsW4k3+HHPqhTinXoj39bt+B7e+g3FfGQEZ26F8xdDPPfkcvy6dGKGbyKWxDleQ41BvxGOs6ncFOVu20nzCl+yaNImsFaHn7Z1fTWDTg4WPzSUl737LFT1zz3sL+fCSkwqV69komf7tGnLWu6Gdrf713yX0aVGPC1rV9897M5cy6owOJRVf5H9WqZvayBjTyRgz1RgzxxjznTGmdu77U4wxzxljfgNuy339rDHmN2PMEmNMZ2PMZ8aYFcaYEQW2tzf3/3vkrvOJMWapMWa8McbkLnvIGPOrMWaRMWac8V0MHAeMN8bMM8Yk5a5/XO46/zDGLMxdZ1TBzzPGPGGMmW+MmWWMSY7m7+U0b423eeP/Y+++w6Oq0geOf8+9kwakkEBCld57ExCkCCjq2jtAVfGVAAAgAElEQVR2UdG1YVvF1WXtrr0XWMWyYkFFRawsIiAovfcOgRQSQnoyc+/5/XEmZVKAQIaQ376f5/ExmXvu5J3LnXPOPdWMrPT58M39Bc+AwMZuZ9VSKCgAwN2wBqtBfDBDqjjOtp3QSYnolH3g+HAWzsbuG1hI6P1J6F3bQJdpeHB8phMBICQE1PG5rWdvS+K8js1QStGjcSxZBV5Sc/ID0kSEeOjfvAEAobZF54bRJGebNE2j6tChQTSWuc2CRnXqg17uf0DYvQXC60Bk4MwJImMgLMIcB/TyeahOJQ/H1llX4/74CVCqcS2+KXrrWvPz/n2omIZQN7DSFmxb5i0gN736RjQfDdWqg7lv9yeB48Nd/BtWj4GBaXoORC+cBYBeOg/VyTy4q8590Hu2m04EgJwsc38rZUa8hoab18ProDOC1zGm2nZHr11kftm3w9wLFf1b7tsBOcGbFXEkrHadcfftQSebPM2ZPwtP/1MD0uiUJPTOreXzCoDQUPB4zKg2j43OCO4oXQDVpiM6eS861Z+//TEbq09g44/en4zeXT5/00l7zIMPQEYa+mAGquz392id1A69f5+ZHeP4cJfPNzMGSsfe9WTcRaZSrlcuMKMJi15fPt/kv+kp5n1Oahd4bvtukJZUPIOBgrySg6FhoKuvsd7u2BU3cTd6XyL4fHhn/0jIoGEBaZwVi6HA5L++dauxGpqyzmrRGmyP6UQAyMsrThdMdseuuHtLx/xTBTEvKRXzKqyGQa0yHJYpq/egU/x1it9nYfcrU1an+r9/ZToJVLOWYNmmEwEgPw8KC4IS51GXe537Fh+2zr4G94fAmZHs2gz5phNP79oCUYEj2Kst/nY90Gv89+Pe7ZXnyXu3V5wn79pUXC/Se7ejoqopz6hEePceeHfuxLt7N3i9ZM6cSd2RI8ula3DXeA5MnoQuKPl31/n5xZ0GKqx684VDmb0lkfO6tDR1uCYNyMr3kpqdF5AmIsRD/xbmOxdq23ROqE9yVu5xia8is7cnc16HpibmRvXJKvSVq3cC9GhUn4Z1w8u9vjU9m/5N4wDo3zSO2dtTghpvbapbgL+sTkkEf1nt/vErVu8y482Ky+ry96letxydf3zvj5Au3XF278JJ3AM+L3k/f0/Y0NMC48opGXigIiICYg8bOgIncQ++bYGNh9VNdeyFXrXA/JK4zeTJ9cqMKq4Xbe6RRNMQq1ctMI3OABpUmGkAVuER6KwM83O3Aej1y0pmXOVmBfVzeDp3w9mzC3fvHvD5KJj1AyFDylzv3Mqv9/FyIteVVdd+6KX+Ts5dm82M24rK5/A65jigl/5WXD9VXfqhF/vrpYt/LXm996lm4EqGf9Bb6Vnc0bGozr3Rf86qts9RG+twpdXp2ZOCHTsp3LUb7fVy4NsZRJ9+ek2HVc7s7ckl7S2N6lfY3gKHKPcOZNG/mWmL6d80jtnbkoMesxD/C2pbR4ICXgMu1lr3Ad4Dnix1PFRr3Vdr/YL/90KtdV/gbeAb4DagK3Cdf9mksnoB44HOQGugqKXnda11P611VyAC+IvW+gtgCXCl1rqn1rr46UMp1QT4F3AaZkZFP6XU+f7DdYE/tNY9gLnATcdwPQ5LxcWj95dkmHp/CiquYaXpPaefi29JcKcNV6h+A3RayQONTktF1W9wxKer2IaE/es9wl+fZpZECvJsBICU7HwaRZaMakioF1HcSVCRzAIvc7YnM6D5kX+uahEViz5Ycj10ZjpE1S+Tpj76YEklUR9ML24gUZ36mAp62eUb9u3C6tLP/NysNcQ0gOjgNKqc0GLiIL3UiNWM/VA/MHtRMXHoojSua6bg1otCJTQFNPZdT+J5+HWsMy42aRwH5+PX8Ux8C89zU1GNT0LP/yloH0HVi0FnleqQycqAelVreFLtemJdOwHr3LHlHwiqkYptGJinpaWiYivP00pzN67BXb2MOlNmUGfKDJzli9B7KphaX81U/Qbo9FL5W3rV8rfi92ndETwe04hbHXHFxJY8cAEcTENFl7l3o+NK0rgu5OdC3Uj/66Xy2Yw0836lz+11Ku6ywFGO1llXYv9jMlafobg/BC7vdEyfpWF8wBI5bmoK6hAPbKFnX4Bv0e8mpuYt0NlZ1HnsRepN/ozwW+4GK/jVI9UgHp1SOuZk1CE68kPPugDfn/NLvRBK3bc/pu4bH+IZNDyYoRYz378yZfURfv+sxs0hN4vQ+58k/Ln3CLn6r8G7ztGxAZ2vpcu0YlGxpjwsTpNWXIZVWu6VovoNQ29aUenxY6EiYwJiIysDIutXfsKh3qvHoJJO/yDxJCTgS9pX/LsvKYmQhMDvX1jnLngaNyZnzpxy54d370GLmT/QcsZMUiY+EvTZCAApWXk0iqpT/HtCZATJWXmVps/ML2TOlr0MaFHyuX7etIfzp/zI+K9/Z19m8BuQU3LyaVSvpKEkoW44yRU0qFSmY4NIZm0zec6sbcnkeH1k5B/zKrGVqk11C/CX1WmlZyAdXVl9PNnx8TjJpcqRlGTs+PJlX51LxtDw65+IuuM+Mp9/CgAVUYd6195I9uQ3gx6niowJeM4g80D5PC2yfsASbDozvXjghPvTVNSoS7HGv4AadRn6v1+YRHGNIKIO1rUPYN00EdX9WBYaODyrYTxuSpnr3bB8uR120eXETPuBOrfdS86Lx3e2NpzgdeXoWPOsVBTbwTQoU/ckOi6wDM8oKZ+JjDF5CfjLRnOPqIZNoE5d7FsfxR7/LKrP0OLzrfNuwP3uo2rt1KmNdbjSQhol4N1b8jzh3bePkEbl846YM8+kw88/0PLtNwlp3Ph4hgj421vqlW5vCT9ke0tZHeOimLXN1E9mbUsy5V5e8Mo9If5X1LaOhDBMR8AvSqkVwMNAs1LHyy7aVrRQ/mpgrdZ6n9a6ANgGNK/g/RdprfdorV1gBdDS//pwpdSfSqnVmM6BLoeJsx8wR2ud6l9i6WOgaBpAIfCd/+elpf5GAKXUzf7ZFEve2xXcEUNFPMNHY7frhPfLIC2fEkQ6PZWCB24g/+4xeIaMhuije+AOFp/rct+PS7mqRyuaR9et6XCOXEgo1tBzcWd9Ue6QO3cGhNfBvv0prAFnmBFlNTDqplazbFTbLjjv/gvfs/eieg5CdewJto019Gx8T9yO7/4x6MTtWGfW4PTXw9Bb1+BOnoj7wdPoHRuwzry6pkOqkGrUFNWsJbljzyd37HnY3fpgde5R02EdmZhYQm6dgHfSv2rH98z2mFFjKxYEvOx+/zHOYzfhLv0N69SzaiS0kFFnY3foTMGn75sXbBtPt17kvfUC2beMwWrcjJDR59VIbJUJGXmWifmzkjX8sy4/i5xbriT3iQlE3H4/VpNmh3iHE4BtY3XsgfeDN8h/4CZUQhPsYWce/rzjLSQUa/j5uL9UvpyKat0Zq+9w/0y9E5fq0h/VqAX6z59rOBBFwwkPkfpMxQ1q+atWsvPsM9l18YXEjrsFFRp6nAM8NJ/rct+MhVzVpx3NY+oBMLxtE2aN+wtfXz+agS0TeOj7P2s4ysO7/5ROLN6bzoWfz2fx3nQS6oYHfVbssagtdYvaIHfaVFLPP4PM116g3lizzE69m28jZ+oH6Lyam2VzpFTf4bg/fYL78r3onz7BOvd6c8CyUY1b4k59Cfc/L6CGnAuxNT/qu+DLT8m45Exy33yRiOvH1XQ4VVLr6spFdWLLRjVrg/PuUziTH8cadQk0aGwGBmQfhD3Hf5+KIrW1Dnfwl1msO2UwG08/k6x58znppRcOf9IJ5v5BnVmcmM6Fn85lcWKaKfesE7fc+/9CKfmvKv/VRif0HgkVUJgOgYGVHC+7aHTR3Gm31M9Fv1f02UuncQCPUioceBPoq7Xe7d+rofy8qSPn1bq4FcipJA601pOASQDZZ/c/6lYjnZaCalBSoVIN4gNG2xSxe/Yj9LLryHvg1pJlgo6nA/vN5ot+Kq5hwHr8R/4+abh7tmN16F68GXN1mrpyO9PWmlEZ3RJiSCo1ei05O4+EehXfGhNnr6RFTF2u6RXcjfiKqP6jsPqZ0Q16zzZUdFzxokQqKrb8BqeZB1ClZhOo6FgzKig2Aeo3xL7D//AfFYt925M4b/0Dsg/ifjWp+Bz7vpch/fh0ep1QMtKg1CgfFdOg3IwYnZFmRgdl7DcjcCPqQnYmOmM/etPq4um3es1i1EltoeihLtWMoNBL5mKNvrRaw1Y9hxSP3NJJO1GR9UsWroqMgeyMI3+z/JKsV69eYDZHDBKdnhqYp8U1LJntcRieAUNxN60xS6oAzrKF2B264q5bGZRYi+gD+1GxpfK32CrmbxF1CL3vaXyfv4veur764spIN/drkei4gNlL4B8pFtMADqaZeze8DuRk+V8vNYIsJi5g6rvq1BuduK14k8xyf3vpXKybH4EfP63weJU/S2oKqmGj4t+thvHo1PLTl+0+/Qm76kZy7hoLXv/SL6nJOFs2munpgHf+r9iduxHsklDvT0HFl445IWC0f3HMvf0xjy+Jueh8AL0vEd+KJVhtO5rlFoIZc3pqwIi7qnz/dFoq7o7NxTNqnEXzsNp3wZk9s1piUwNGYfUzS0zoPdvMTDD/IMriMq20zHRTHhadHx0HB0uVe3f5V6WMisW+4ymcNx4293Ojk7AuvBnn/WcgN7taYgdQvYehepplovS+HaioWDT+dc4jYyCrisv4teyIOuVM3I9fMEuQBZEvORlPo5KRip5GjfAml3z/rLp1CWvfjuYffQyA3bAhTd96h8Rbx1GwZk1xusKtW3Fzcglt3z7g9eoyddlmpq0yjUndGsWSVGoWQXJWHgmRFa+dPfGnJbSoH8k1fTsUvxYTEVb888XdW/PCnFXVHi/A1NU7mLbObLTdLT6GpFIjMZNz8kmoYCmHysTXDefVM82ylTleH79sSyIqLKRa462tdQvwl9WlZm1XuayuAU5KCnZCqXIkPgEnpfKlO/J//p7oCRM5CIR27U74iDOIvPM+rMhIcF10YQG5n0+t9PyqUP1OQ/U2o8L13u2o6Fh00Z7xUfXL52lZBwJmjqmo2JIljHoMKt54Wa9bjCrqSMhMR+dlg7cQvIXoXRuhUXNID87yJW5qClZ8meudWvmzT+EvP1D3/kfKNVAE24lWV1aDRmP1N8vd6d1bUDENSp5Lo+NMHbO0g2moUnVMFeMvn6FkFkLR/4s2Yz+YZpa2KiyAwgL0tnWoJi1RzVqjuvTD7tTbLNUUXgdrzJ24U1896s8DtbMOV5o3KZmQJk2Kfw9p3Lh4U+UiTkZJfp32yac0eejB4xLb1FU7mLbOzAjtFh9NUnbp9pb8SttbKhJfL5xXzzLLVuYU+vhla/WXe0L8L6ptMxIKgIZKqYEASqkQpdThZgccq6Kcar9Sqh5wcaljWUBFuzotAoYqpRoopWzgCqD6W7WPgLtpPVbT5qiExuDx4BkyCufPuQFprNbtCbv9QfIeux99sGbWm3e3bkA1amYagmwP9sDTzIbJRyK2IYT4R6/VrYfVoRt63+5Dn3OUxvRoxfQxw5g+ZhgjWjfmmw170Fqzcl86kWEhFa7N98rC9WQX+JgwpGtQYqqI/vMXnNcfwnn9IfT6Jahe/nUxm7c165RnlXmQy8owrzdvC4DqdSp6/VJI3o3z9F9xnh+P8/x4yEzHeePvptIWXgds26TvOxy9Y0PgGuj/I/SOjaj4JhCXALYHq99Qs9ly6TQr/0ANNBVo1edU9AZTGddrl6KatTLrxVsWqn039L5d6Iz9qCYtitePVZ16V/s9rVfMxf3wGdwPn0FvWYXq4l8bv3FL8+9YlfWKS6953Ma/Ln6QuJvXYzVuhoo3eZo9eCS+RfMPfyJm2rHdpRdYNtg2dtdeuKU2ngsWvW2DGeFVlL8NOA132YLDnwhgewgZ/zjOvJ9xF889fPqq2L0Z1bAxxMabe7fXYPTaxYGxr1mMdbLplFQ9TkFvWW1eX7sYq9dgsD0QG2/ex7+WLYDqNRhdZlkjGpQ0NKpuJ6NTqu+Bydm4FrvZSahGTcHjIeS00XgXBBa7VtuORNzzCLkP3RXQ6eFsWIuqF4nyz2Tz9D45YLO8YHE2rMVuehKqURN/zGdUEHMHIu55mNy/j0dnlCqf60WaPYEAFRWD3bXncYnZ3bIB1bh58ffPM2gkzuIjK6vdretRdSPBv16/3bV3wMaPx0r/8QvOaxNwXpuAXlem3MvPrVq59+QtOM/eifPsnabce+0hU+5Fx2FfdTfO52+YfXGqkV42B/e9J3DfewK9aQWq6wBzoEmrqufJCc2xRl+F+8WbQV8zHCB/9SpCWrbA06wZhIQQdfbZ5Pz3v8XH3exstvY/me2nDWP7acPIX7GiuBPB06xZcV3C06QJoa1b401MDEqcY3q3Y/p1ZzD9ujMY0a4p36zdYepwe/ebOly98h0Jr8xbTXaBlwkjAjdnLL2fwq9b9tI6LjibvI7p1pLpl53K9MtOZUSrBL7ZmGhiTjpAZKinwnpnZQ7kFeL6xzJNXrqVCztV/wjY2lq3AH9ZndAUGpiy2howHHf5EZbVNcS7bjV28xbYTZqCJ4SI08+iYG7gZqN28xbFP4cNHopvl+lhTbvpalLPHUnquSPJ+eRDsqdMqrZOBAC9eDbuOxNx35mI3rCsZNmhpq3NvVB2oEH2QfN609YAqO6noDf4N/jNyoAW/o68Vp3M3k6A3rgc1bwdKAs8oaimrYsH4QSDb/0a7OYnYTU2dY2wkWfinRd4va1mJxX/HDJoCO7uypfIC5YTra6sf/8R58X7cF68D71mUcmyQye1q7x8zs8t3ntL9RmKXmPqp3rtEpR/sJzqN7y43qrXLIJWHc2gl5BQ1Ent0Cl7zEzYx2/GefJW3P+8hN6y+pg7EaB21uFKy125krCWLQlt3gwVEkL9c88h85dfAtJ44ks6VqNPH0X+lq1l3yYoxnRvyfTLhzD98iGMaN2opL3lmMu9LVzYuaJFSYQQVVXbZiS4mIb8V5VS0Zj4XwaCtvir1jpDKTUZWAMkAaVbWd4H3lZK5QEDS52zTyn1IPArZhbFTK31N8GK8ZBch4K3nifi8VfBsvD+MgN313ZCr7oZZ/N6nD/nETr2DgivQ/gEs2amTk0i/7H7j3uc3vdfJnTC82BZOHO+R+/ZgefiG3C3b8BdugDVuiNh9zwOdSOxe5+CvuR6Cu6/DqtpC0Ku+quZ2qgUvu8+MxuhBdmQlvHM3ZHM6A/+S3iIzZMjSx4yL5g6h+ljhpGUlcc7izfTun49LvrEVC6u7N6Ki7u2YHXyAe78bjGZBV5+3Z7E639uZMZV1b9Got64AtW+J/Y9L4K3EOerd4qP2bc/hfP6QwA4307BvmgceELRm1eiNx1m5EnDJtgX3wJao1MSA2YnHC9jp75H+2GDqdcgjqd3r2fGxKdY8N5HxzcI18X55E08458Ey8L9/WfYtxPr3KvROzejV/6BO/9H7LF/w/PEe+icLJzJ/hkeudk4v3yF56FXQWvcNYvRq83GhO6M/+C5/zlwHHRaMs77QZxOum0tulUXrBsngteL+2PJ8mbWNQ/ifvgMAGrIeahOfSEkBGvc4+jVC9ELvjcjadt0A9eB/NyA86ud61A4+UXCJ74Eto1v1nfo3dsJueJG3C0bcBbPx2rbibAHn0bVi8TTdzD6irHk3XkVzsJfsbv3IeKVjwCNs+zPI24EPbaYXXwfvErI3541+dtvP6ATd+C56Hrc7Rtxly1Ate5A6PjHoU49rF4D0RddT+GD12MNGIbVoTuqXhT2kNEAeN95Br2rGirzrov75WTscRPNvfvnfyFpN9boK9C7t6DXLkb/OQt15Xjsh9409+tH/vswaTfuigXYD74GroP7xeSSDftCw1AdeuJOezvgz1l/uRoV3xS0iz6QWu74MXEc8l55mrrPvWXKuh++xt2xlbDr/4qzcS2+Bb8RcevdqIg61Hn0OfPxk5PI/ftd4Lrkv/UidV+cBErhbFpH4XdfVl9slXEd8l59hrrPFsX8jT/mW3E2rjMx3+KP+Z9FMe8j9+Hx2C1aE3HPw/7N2S0KPnnv+DyEug6F/36RsIdfBMvCN3smes92Qi4bi7t1A86S37HadCT0b0+h6kZi9x2Evmws+XdfDa5L4YevEz7xZUDhbtuIb9a3h/2TR0NvXI7q0NPMlPMW4HxRqty742mc1yYA4HwzxZRjIaHoTSvQGw+954E14kKoUw/7vBv818M1nevVbesadJtuWLc8Ad5C3JklyyFYNzyM+94TAKjhF6I6n2yWY7rtGfTK+ej532ENvwhCw7AuuNmclJluOhWCxXFIfexRmr07BWybzC+mUbhlM3F33kX+mjXkzP5vpadG9OlL7M3j0D4vuJrkRyfiHgj+oJYhrRszd9s+Rk+eSbjHw5Nnlmw0f8H7PzH9ujNIysrlnYXraB0byUUfmOWhruzVlot7tOGjpZv5dUsiHksRHR7GU2f1D37MLRoyd1cKoz/+jXCPxZOndS+J+bN5TL/MdJ49v2ADMzfvJd/nMPyD2VzUqRm3n9yeRXvTeOmPjSigb5NYHhkS5LFYtaluAaas/vA1Qv72L5SycOb+gE7ciX3hdejtG3GXL0S16kDIXY+agUu9BqIvuBbvQ2MBCPn7y6jGzSE8gtCXP8X77vPo1UuCG7PjkPncE8S+9m+wLfK+/Qrfti3UG3cH3vVrKJj7K3UvHUPoyaeAz4ublcnBf04IbkwV2bwK3a471h3/MnnaN+8WH7LGPYr7zkQA3JkfYZ0/1jyLbFkNW8xMH3fG+1ijx5hGYp8X97v3zcn796G3rsa69THzPLJsLqQGpyMSAMch54WniHr5HbBsCr6bjrN9KxE33YZv/Vq88+cQfvEYQvoNAJ8PnZVJ9uMPBS+eypzAdWW9fhmqU2/sCW+Y8vnTN4qP2fc8j/PifQA4X07Gvvx2Uz5vWI7esMx8tNlfYV1zL9bJI0xd8kN/vTQlEb1hBfa9L5pnqj9nQVJwBhaaQGphHa40x2HPI/+g9X8+RNk26Z99Tv6mzTS6925yV60m85dZNLz+eqJGjQTHwZeRwa577ju+MQJDWsQzd2cKoz/6lXCPzZMjSpbZuuDTuUy/3Kwe/vzv65i5aS/5XofhU2ZxUefm3N6/A4sS9/PSwg0oFH2bxvLI0OM3sFOI/8+Urg1rLf+PO5aljWqCHXUsKz/VjNDBJx8+0QlE762ezVaPp9ufmlHTIVTZazcFd9O26ma1b1vTIVRZ/vxlNR1Cldn1wg6f6ATiaRjcDSqDIWd5za1le9Rq2SKXIXH1ajqEKgttV/tGkqmoqMMnOoFsnVJ5o/+Jqs0DY2o6hKrJDv4skWrnrYFlT4+Rb1X1LQV4PKSvq311+/hzBtR0CFWW8ePiwyc6gYQn1K4yBCCszfHflPdY5Sw7PqPtq8v2LVVYJu4E0e1vF9V0CFVm3/FC7arcnyC+iWtUq9ova9p5aUm17j6rbUsbCSGEEEIIIYQQQgghhBDiOKptSxsJIYQQQgghhBBCCCGEOIEoat0Ae1FFMiNBCCGEEEIIIYQQQgghhBCVko4EIYQQQgghhBBCCCGEEEJUSjoShBBCCCGEEEIIIYQQQghRKelIEEIIIYQQQgghhBBCCCFEpaQjQQghhBBCCCGEEEIIIYQQlfLUdABCCCGEEEIIIYQQQgghai9V0wGIoJMZCUIIIYQQQgghhBBCCCGEqJR0JAghhBBCCCGEEEIIIYQQolLSkSCEEEIIIYQQQgghhBBCiEpJR4IQQgghhBBCCCGEEEIIISolHQlCCCGEEEIIIYQQQgghhKiUp6YDEEIIIYQQQgghhBBCCFF7qZoOQASdzEgQQgghhBBCCCGEEEIIIUSlpCNBCCGEEEIIIYQQQgghhBCVko4EIYQQQgghhBBCCCGEEEJUSjoShBBCCCGEEEIIIYQQQghRKelIEEIIIYQQQgghhBBCCCFEpTw1HYAQQgghhBBCCCGEEEKI2stSNR2BCDaZkSCEEEIIIYQQQgghhBBCiEpJR4IQQgghhBBCCCGEEEIIISqltNY1HYM4DN+Dl9eqfyQ3Nb2mQ6gyu2Xzmg6hynRqak2HUCU6v7CmQ6iyOyYvqOkQqmRin6Y1HUKVxV8wuKZDqDrbrukIqiY8vKYjqLL82X/WdAhVFj785JoOoWpCQ2s6gqrzems6girTW7fWdAhVExNT0xFUWeH67TUdQpW4Bb6aDqHKlF37xp6FtW1S0yFUiYqKqukQqq4W1i/07t01HUKVqLi4mg6hypydiTUdQpXZfXrUdAhVk1772lt0RkZNh1Blnhe/kkV6jsL3DRrXqvbLmnbW/n217j6rfbVCIUSt60QQQgghhBBCCCGEEELUXtKRIIQQQgghhBBCCCGEEEKISnlqOgAhhBBCCCGEEEIIIYQQtZei1q3UI6pIZiQIIYQQQgghhBBCCCGEEKJS0pEghBBCCCGEEEIIIYQQQohKSUeCEEIIIYQQQgghhBBCCCEqJR0JQgghhBBCCCGEEEIIIYSolHQkCCGEEEIIIYQQQgghhBCiUp6aDkAIIYQQQgghhBBCCCFE7aVqOgARdDIjQQghhBBCCCGEEEIIIYQQlZKOBCGEEEIIIYQQQgghhBBCVEo6EoQQQgghhBBCCCGEEEIIUSnpSBBCCCGEEEIIIYQQQgghRKWkI0EIIYQQQgghhBBCCCGEEJXy1HQAQgghhBBCCCGEEEIIIWovpWo6AhFsMiNBCCGEEEIIIYQQQgghhBCVko4EIYQQQgghhBBCCCGEEEJUSjoShBBCCCGEEEIIIYQQQghRKelIEEIIIYQQQgghhBBCCCFEpaQjQQghhBBCCCGEEEIIIYQQlfLUdABCCCGEEEIIIYQQQgghai9V0wGIoJMZCUIIIYQQQgghhBBCCCGEqJTMSKgmSjRzFqsAACAASURBVKlGwMtAPyADSAbGA19prbsqpYYB3wDbgDr+489qrb+rzjisc65FdegF3gKcaW/B3h3lEzVthX3JreAJRW9cjjvjA3PuqEtRnfuA1ujsTNxpb0HWAQiLwLr8dlRMA7As3LnfoZf+dsyxqq598VxxKygLZ96PuD98FpjAE4I99n6sFu3QOVn43n4S0pLBtrGvvQfVoi3KsnEWzsL9/lMAQv71ITo/D1wXXAff47cfc5xH/HnOuALVtht4C3G/fQ+SdpVPM/wCVLdTIKIO7r9uO26xFf/9Tr2xLrwRLBt34c/oWV8GJvB4sK66G9W8LeRk4rz/HKSnoDr0xDr3GrA94Phwv34fvXlVcGLs0gf7slvNvTb/R9wfPy8TYwj29fehWrRD52TiTHra3Bdg7u2r7kRF1AHt4nvyTvB5Uf2GYZ91GWjQGWk47z0L2ZlBif9wrn73Dbr9ZTRZKak83m1AjcRQVtjAwUTd9xBYFrlff0HOB/8OOF7nosuoc8kYcBx0Xi4Hn5yIb/vW4uNWQmMaTptB9qQ3yPnPlOMSszr9clQb//ftuykVf9+GnY/qNhDC6+A+d0fJgebtsE6/DOKb4U6fBBuWHZ+YR16KatPVxDzzA0jeXT7NkPNQXfubmF8cX/J6z1NRvYeBdqGwAPfHjyFtX1Dj1Vrz1O/rmbszlQiPzVOndaNzw+hy6V7+cxPfbkzkYIGXpTedXvz63qw8Hpq9isxCL64Ldw9oz9AW8UGL1+49gNAbx4Nt4/v5W7xffhRw3OrSk9Abx2O1bEPBc//AWfBr8bGQa/+Kp+8pABR+NgVn/n+DFmdpxdd4134iPBZPDT/ENd6011zjG0cVv743K4+Hfl1NZoEXV2vu7t+BoS0aBj/muWuYuyPZ3BejetE5PiYgTZ7Xx90/LGH3wVwspRjeKoF7BnUGYEliGk/PXcOm/Zk8P7oPZ7RrEvx4a8F9rDr1xrroJlP2LfwF/csXgQk8Hqyr70E1bwM5WThTni1VPl8LHg/4fLjfTEFvMuWz6jME6/RLTL3uYDruhy9CTvDKPuusq1Hte5g66FeTYN/O8omatMS+8GZTB920Evd78z21Lr0N1aCxSRNeB/Jzcd58OHix9uxP6PV3gWXh++93+L7+T+DxTj0Ivf5OVIs2FL70T5w/5hQfUw0SCL31AVRcPGhNwVP3o1OTghZrEbv3AMJuuhssC+8v3+L9onweF3bT3Vgt25D/7CMBeVzotbdh9zN5nPfTKfjmzwp+vL36mzzZsvH9MgPvV2Xi7dyT0LF3mTz5+Yk4C8vkyX1OMc8IKxdT+O+Xghqrdd4NqE69oLAQ57PXIXF7+URNW2NffhuEhKLXL8f95j0AVPeBWKdfCvFNcV6dAHv89aPmbbEvHmd+Vgr358/RaxZVW8zqjDGodv560DfvVlgPonELrHPHQkgIevNq9E9TzesJzbHOvhpCwuHgftyvJkFhPlg26pzrUI1agGWhVy1A//59tcVcHPuIS1Ctu4DXi/vDhxXXh049F9WlP4RH4L58T8nrXQeghl0AWRkA6OW/oVctqP4Yg5En9x5s7hXLRq9ZhPvtB9Uf95lXotp1N/fF1/+uOB9u3ALr/BvNvbx5FfqHj83rjU7C+su14AkB18Gd+SEkbkd1G4gafJZJU5iP+13F/2ZVjrVrXzxj/gqWhTP3B9zvK2gLuOlvpi0gOxPfW0VtAR7sa8ejWrUH18WZ+iZ6o7nGnnueguhYsG30pjU4H71m6s5BZupGa5m70183GtmzkrrRUnYfzMGyFMNbNuKeQZ2CHhsEKb9o0srcL+Yv4P72DWw8umcq1bEX1vk3mO/bH7PQs6cHJrA9WGPuQjVvbb5vH74AB1LNuSMuxOo/AlwXd/q76I0rICYOa8ydqHoxgDbf4XkzAbDOuAw1YGRxW4D7/cfo9cfnWVCI/y9kRkI1UEopYDowR2vdRmvdB5gAJJRJOk9r3Utr3QG4E3hdKTWi2uLo0BMaNMZ5fjzOV5Oxz7+xwnT2+WNxvpyE8/x4aNAY1b4nAO7cGTivPIDz6oPoDcuwRlxo3nfgGZCcaI5NeswUJLZ9jMFaeK68He9Lf8f7yE1Y/YdB45MCklinjobcbLwPXY/7y1fYF481r/cdAiEh+CaOw/v4bdhDz4K4kkvte+5+fI/eelw7EWjbDRWbgPvGQ7gzP8Q66+oKk+lNK3Hfe+L4xVWasrAuGYfz9qM4T92G1WcINGoemGTAKMjNxnl8HO6cb01FGEyD/TtP4DxzJ85/Xsa6+u6gxWiPuQ3fqw/jm3gzVr9h5e+LQWegc7PxPXwD7qzp2Bfe4D9g4Rn7N5yPX8X3z3H4nv8bOA5YFvZlt+B74QF8j92KTtyONfzc4MR/BBa+/zGvjb6wxv5+OZZF1AOPkH7nzaRecg4RZ5yNp1WbgCR5P37H/svPY/+VF5L94btE3v1AwPGoex6gYMG84xdzm66o2Hjct/6O+/1HWKOvrDCZ3rQKd8pT5Q9kpuPOmFKtD/SH1borqn487jv/wP3xY6wzxlSYTG9ZhfvBM+VfX7cY973Hcac8ifvnz1gjLg52xMzdlcrOjBx+HDOER4d24dG5aytMN7xFQz67aGC5199ZupXRbRrx1SWDeX5UDx6fty54wVoWoePuJf/Re8i77QrsIaNQzVsGJNGpSRS88ji+334JeN3uewp2mw7k3XUteffdSMgFYyCiTvBiLWXurv3sPJjLj1ecyqNDu/JoJddoeMt4PruwfMfjO8uKrvEgnh/Zk8fnVfxvVJ3m7kwx98U1I3j0tB48+mvFncrX92rLzKtP48srhrJsXzpzd5gO38aRETw1qidnd2ga9FihltzHysK65Bact/6J82Ql5fPA0035/Ng43F+/wTrvOqCofH4c5+k7cP7zEtbV/gY3y8K66CacV/+O88ydsHcH1pCzqz/2ovja9YC4BJyX78P55j3sc66vMJ19znU4X7+L8/J9EJdgGrwA9/M3cN58GOfNh01+t25J0GLFsgi98R4KnryP/LuvwjN4JKpZy4Aken8yBW88hVNBg3voHQ/j/WYq+eOvIn/CzeiDB4IXa6mYw265j7x/3k3ubVfgGXJ6BXlcMgUvP47vt58DXrf7noLVpgN5d15D3r1jCbnwOORxlkXouPvIf+xe8u4Yg31qRdc4iYJXn8A3NzBPtjp0xe7Ynbzx15B311VYbTthde0VtFBVx17QsDHOM3fgfPE29kU3V5jOvugmnGlv4zxzBzRsbM4DdNIunA+eg+3rA09I2mWenV66H2fyE1gXjwOrmh6923ZDxSXgvj4B97sPsM6+psJk1llX4373Pu7rE1BxCdC2m3n9L9fh/vcL3Hf+gd6wDHXKmeZadO4LtsfUVSY/huozDKLjqifmIq27mPrQ5H/i/vQx1qjLK0ymt6zC/ehfFR/bsBT3g6dxP3g6KJ0IQcmT60RinXcDzusP4zx1G0TVR7XvXr1xt+tunkdffQB3xvuV3xd/uRZ3xvu4rz6Aii11X4y6FHfO17hv/wP31+lYoy4znykjFXfK07hvPYL727dY51x37LEqC8/Vd+B96SG8f78Rq/9waFJBW0BONt4Hr8P9+SvsS03bhjXUdGr4HrkZ3/MPYl8+DpRZTMX35hP4Jt6C7+GbUJHRWP2GHHusR8DUjbL58erTTN1ozuoK013fu42pG10eWDcKqiDlF6Qk4k5+DHfSP3Gnvoj1l2tAHUUepyysC2/CmfQEzr/uwup9KiQ0C0zSfyTkZeM8dRvubzPM3wJIaIbVazDOv+7CmfQ41kU3mxgcF/ebD3CevQvnlQexBp0Z8J7ub9/hvHAvzgv3SieCEEdBOhKqx3DAq7V+u+gFrfVKoNKueq31CuAxoNpau1Xnvuhlc80vu7eYh4TIwJ5wImMgLMIcB/Syuagufc2xgrySdKFhpaOFsHD/6+GQm21G/B9LrK07oFP2wv4kM8J90W9YvU4JSGP1HIi7wDxcuEvmYnXyP0RojQoNN5XxkFDw+SA/95jiOVaqfc+SimziNjOarl75EY8kboPsg8c3uCIt2qFT95mRHI4Pd9k8VLf+AUlUt/64i2YDoFf8bkYWAuzZBpnp5ud9u8x191T/hCbVqgM6ZV/JfbH4N6wegQ07qudA9ELzYK+XzkN1Mh1hqnMf9J7tsMc/iiwny4xAUcos1Bfqv4fD66Az0qo99iO1Zd4CctOPQ6PDEQrp0h1n9y6cxD3g85L38/eEDT0tII3OySn+WUVEgNbFv4cNHYGTuAffti3HLWbzffvD/LL3EN+3vZV83w6mQUpiwOcINtWuO3pNUczbTT5cN6p8wr3bKx4xXJhf8l4hoccl9tk7UjivQ1OUUvRoVJ+sAh+pOfnl0vVoVJ+GdcPLv4GCbK8PgOxCH/F1wsqnqSZWu864+/agk/eCz4czbxae/oEPjzolCb1ja7mRaVbzVjhrV4DrQEE+7o6t2L3LNygHw+wdyZzXvom5xgkxZBV4K77GCTEVX2PMtTX/9xJfSZrqNHtbEud1bGZibhxbYcwRIR76N28AQKht0blhNMnZJk3TqDp0aBCNpY7PCqq14j5u0Q69v1T5vHRuxeXzn2amzJGVz8r8V1SfC6+DPphe/bEXxdepN3rFfH9MW00dtGy+XC/a5H3+Edt6xXxUpz7l36trf/SqhUGL1WrbCZ20x9RDfT58v8/C7jc4II1OTULv3FquvquatTSzOlf5Ozry86CwIGixFsdcJo/zzf2lgjxuH+6OLeXKB5PHLS/J47ZvwdMnuHlcuTx5/iw8/U8tE6//Glc0WjjUfx97QsBjozOCeO926YdeMsf8smuzqVNU9PwUXsccB/SSOagu/cyxlERI3Vv+jb2FJfdPNZfbqkMv9MpSzx1hh/i+JW4zMa9cYGatgxmAtXOTeX3b2pLvoQYVGmYa4kJCwPFBQfn88phib9sdvfZP88u+Hea6VlQf2rcjqDOoDikYeXKDRujUvcWjoPXGlaieg6o1bHNf/O6PY2vF9eOy+fDK31Ede5tjWqPCIsx7hUWgs/zPK7u3lDxr79kKUbHHHmtRW0BqUVvAnPJtAb1Pwf3ddIyWbgtQTVqg168wibIyIDcH1bK9+b0oTtv2l4XHp64/e1sS53VqXqquUUndqFmpulF8Sd0omIKWX/gKS/JvT8jR53EntTXft3T/9235fFTXkwM/Q9d+uIvNrDW9aqGZXQGorifjLp9v8qr0FPM+J7U1q2r4PwsF+eiUPajq7hQV4n+YLG1UPboCS4/ivGXA/dUWRVRsQAOpPphuCnr/1M/iNKUeJPXBdFSpyoB1+mWo3kPMlPLJj5k0C35CXXs/9kNvQVgE7tRXjr0yHNMAnZ5a8vuBVFSrjoFp6pdK47qQlwP1onCXzkP1OoWQFz+F0HCcT982jcYAGjz3PA0a3N9m4s6t/um4FVGR9XEzSz3kZB4wDx011WlQARUTBxn7S17I2I9q0SGgeqWiS6VxXcjPgbqRJdcXUD1PQe/ZajpwqltMHJS6L3TGflSrDuU+R0X3hUpoCmjsu55ERUbjLp6D+9MX4Dg4H7+OZ+JbUFiATk7EnfpG9cdeS9nx8TjJJUsyuCnJhHQtP0KqziVjqHvltShPCGm3mpGmKqIO9a69kfTbxlL36opHnwZDbfi+laUiY3CzSnUgZWWYmKvwkKx6D0X1Gwm2jfvJy0GIMlBKTj6N6pU0rCbUCyc5p6DSBu2ybu/blhu/W8zHq3eS53V499yTD3/SUVJxDdH7U4p/1/tTsDp0OaJz3e2bCbliLN7pUyEsHLtbb9zdFSxrEQQpOQU0qhdR/PtRXeOZS/h4jf8an9MvWKEWS8nOp1Fk6ZgjSM7OrzTmzAIvc7Ync3XP1kGPrSK14T5WMXFwoHT5nIZq2f7Q5XNejml8K5WHlC2f3c/fxJ7wuumITN2L+/nbBE1U/XL1S6JiA/PlqFh0qbxbZ6ajouoHvk+LDuac9OCN0lSxZfKLtFSsdp2P6FyrcXPIzSL0/iex4hvjrFqC9+O3j3mAzeGUy+PSUrDaH2Eet2MzoZffiPdrfx7XvQ/u7h1BitQw17jk37Aq19jduAZ39TLqTJkBKLzff4neU8HyLNUlOq7881N0XODzUwVpjqhR6qR22Jf+Feo3wP3ktWq7T8rVg7LSIbJ+4Pctsr6pHxXFnJWOFVnf5Cupe6FDL9i4HNW5X3HDsF6/BDr0xLrnJbPszc+fmmeBaqQiY3AzS9eHDlS9PtS+F6pZOziQjDv7S/Me1RljMPLk1L2o+KYQG2+ewboPMEvGVmfcURXUj6PK3BdR9Us6OgCdeQArytwX7o9Tsa6+D3X6ZaAs3HfLz6JXvYegt1TD8rb1y7QFpO9HtSnTFlDJM5/evRWr10DcP2dDbDyqZTuIbQjbNwLgufdpVKsOuKsX4y4+PjOmy9c1jrBu1KNV0GMLVn4BQNPWWOdcDzFxuNP/fVTLSJnvUqlBfhlpZgnjytK4rukwqhuJio5F+zs5ADiYhoqOC+w+qt8Q1bQVbql01uAzoe9Q9O6tuN++b+4tIcQRk46EmnXCbWju/vwZ/PwZath5WAPPwJ31hRlhsW8nzuTHIS4Be+zfcV7ZEDiD4ThSrTqA6+K99wqoE0nIgy/grlsG+5PwPnO3KWQiY/Dc+zQ6aTd6U8VTC8VRaNQc69xrcd6cWNORlGfZqLZd8D11JxQWYN/9DGrnFvTm1VhDz8b3xO2Qug/rir9inXkZ7vef1HTEtUrutKnkTptK+BlnU2/sLRz85wTq3XwbOVM/QOfV7Iyg/xV62W/oZb+hOvdDnXImemb1r61bnWZu2cf5HZpxfc9WrEg6wAP/Xcm3l5163EaiHylnxSKsdp0If3YSZGbgblgT9EbB6mKucVOu7+G/xrNX8e2lg0+Ya+xzXe77cSlX9WhF8+i6NR3OUakt9zGNTsI69zqcN/9hfrds1OCzcJ69C/YnYV0yDnX6xeifPj/0+9Qwq/tA3KIZZyci28bq2IP8+29A708m9J5HsYediTN7Zk1HViln+SJ87ToT8exk9MEMnA1rzOyEE5Rq1BTVrCW5Y88HIPyfr+B07oG7bmUNR3YUdm3Gef5uiG+KffntOBuWg89b01Hhfvse1ugxcOo56E0rzGhegKatQLu4L90D4XWwrpuA3rYOMlIP/YbHkd6y2nR4OD5Uj8FYZ12D+9krNR1WeWXz5Lwc07l7/d/MvjXb10PRvjAnCNXvNNwfP4H1S1Bd+mGddwPuh8+VJGjZEdVrCO57T9ZckIA770dU45PwTHwT0pLRW9YF1Nt8L0wATwiecRNQnXqi151YS9fUtrpRpfkFQOI23LcfgQaNsc4bi7tlVeDxmhYajn3d33C/fq+47cr9/Uf4eRqgsUZfgXXudbifySDD6mSdeM2coppJR0L1WAsczYLVvYD1FR1QSt0M3Azw5hl9ualnm4qSoQacjnWyWYZE79lqRmv7B+2o6NiAEQcAZKab1zlEGkAvn491/YMw6wtU36G4c741B9KS0QdSoGGTks3EjkbGflRsqQ0h6zcsv9zMAZNGH9hvljGKqAvZmVj9T0OvWWzWv8/KwN2yFqtle9z9SSU91VkZ6GULzFI5QepIUH2Ho3qZaeV67w5UVGxJ73dU/cCRTCcAnZFmNswuEtMAfTDwmuuDaRDTwFxHy4LwuiWzEWLisG98COejl83SQ8GQkWZGlPipmAZwoEyMGWnmvsgIvC90xn7zb100ZXjNYtRJbaGokTvVbEyrl8zFGn1pcOKvhZyUFOyERsW/W/EJOCmVjwTN//l7oidM5CAQ2rU74SPOIPLO+7AiI8F10YUF5H4+tdrjVH2Glfq+bT/hv2/gn0HQwyyXofftRBWN7AEz+u4oY9brlmCdPgZN9XckTF2zk2nrzKp83eKjSSo15To5O5+Euke+rMuX6/cw6S9m6byejepT6HM5kFdIXBCWhtFpqagGJRvgqgbx6LQjb/jwTvsA7zRzPcPufRSdWMEmdNVk6pqdTFu/B4BuDaNJys4DzKjsKl/jDYlMOttMMS++xvmFxEVU7zWeunI709aaykW3hBiSskoGEiRn55FQr+IRdxNnr6RFTF2u6VVxHSZYatt9rDPSUPVLl89x5epE5crniLolI19j4rBvegjno5dKyudm/hkg/t/dZfOxRl1crYs8qJNHYvUdZuJL3GZGBhYdq6wOWmoko4qKDRgBiWWhOvfFfeuRaoyyPJ1eJr+Iaxg4MvZQ56al4u7YbJbkAJxF87Dadwl6R0K5PC6uinnc5+/j/fx9AMLuexQ3iHkcFF3jkv3LqnKNPQOG4m5aY5aNApxlC7E7dK3WjgR1ymizOSegd/ufn4qORceaJRBLO5hmRqkfKs2hpCSiC/Oh0UlH/fyk+p5mZo1TQT0oMrb8qPws/2j0ovMjY0uWqklLwv34RfNzbMleJarrANji72jKzULv3oxq0hJ9jB0JqtcQVHezjI9O2omKqo9OLIq9inW4UjMk9KrfzcbL1SwoeTLm2cRZsxgAdcoZqGoYtKD6jUD1GWreP7GC+nFmmfsi80DAiHIVVR/tT6N6DCreeFmvXYw694aS8xKaYZ17A+7HL1TP6O0DZdoCYhuYZ/7Sip75yrQFAGZFAj/P319GJ+8JPNfnxV2+AKv3KThB6kiYumo709aavLRbfEyZusah6karaBFTj2uCOFPzeOQXAfbvM8v8xTczy5JVgS6TvxITV24pRvN9izP5rmWZZbtysky60u0b0XEl7RuWjXXd/bjL5qJX/1mSptRMDPePX7Bv/HuV4hVCyB4J1WU2EOZv/AdAKdUdaF7ZCf7jjwAVdn9qrSdprftqrftW1okAoP/4GefVB80GyWuXFBcYNG9rpnyVrZhlZZje2OZtTRy9h6CLNrSLK2lMVF36mnUcATLSsNp2NT/Xi0Y1aALpKRwLvX2jWYqmQSOwPVgnD0WvCFwP112xEOuUUYDZYNndYNZC1OkpqI5mXXxCw7Fad0In7TZr4IdHFL+uuvRGJ+44pjgP+RmW/Io7+VHcyY+iNy5Hdfev69i0tbn2J9oyK7s2oxo2gdgEc817nxpYqAJ6zaLijinVcxB6s3/qakRd7HH/wP32w/KbyVUjvWMjKr6JWYvR9mD1G4q7MnBkol75B2rgSBNjn1PRG8yDpV67FNWslVkP2rJQ7buh9+0yyyM1aVG8FqTq1Bu9r9LtS/7neNetxm7eArtJU/CEEHH6WRTM/TUgjd28RfHPYYOH4ttlGhTTbrqa1HNHknruSHI++ZDsKZOC0okAoJfOwf33Y7j/fgy9aYWZEg7QpLXJ00607xtmBoE75UncKU+iN68wD+gATVqZNYersvZv/ZIGJNp2hQPHlgdXZkzXFky/dDDTLx3MiFYJfLMxEa01K5MOEBnmOeLlYAAa1wvnjz2mMr/1QDYFjktsRGhQ4nY3r8dq0hyV0Bg8HuxTR+L78wins1sWRJr1mVXLNlgt2+AsD95G3GO6tmD6JYOYfskgRrSK55tNe801Ts4gMjTk2K9xePVf4zE9WjF9zDCmjxnGiNaN+WbDHhPzvnQiwyqO+ZWF68ku8DFhSNdqj+ew8da2+7iofC4q+/oMQa8OvAf16j+LGz5Vz0HoTaXK51sm4n77QWD5nJGGatQc6pl72+rYE5Krt+zTi2aVbJC8fimqp3+fgWZtKq4HZR80+XWzNv7PMThgk0PVuovp9C/b8FXN3C0bUI2bo+JNfuEZNBJn8e9Hdu7W9ai6kRBl1tC3u/ZG79kRxGj9f7dMHucZMgpnUdXzOKtlW6yWbYOax4E/3sbNiq+xPXgkvkXzj+zc1GTsLr3AssG2sbv2wq3ma6wX/Gg2QX7pfvTaRSh/hxgntav8+Sk/1xwHVN9h6LWLD/1HYuNLNleu3wDVsOkxPT/pJbPNpqaT/mmeO3qUeu4oOMT3ralprFQ9TkFvXG6O1Yn0J1KoU89BL51jfj2YBq06mZ9DQlHN2pg1x4+RXj63ZHPkzatQXfz7DTRuaWKsSn2o9H4KbbtDWhAGNwUjT4aSdekj6mKdehbugsCN0Y+GXvxfszny2/6NcHv4911o1qbi+nHZfLjHoJL7IisDWvqXF2rVyewRARAdi3XZHbjTJ5W8dqxxb99olnoqbgsYhl5epi1g+UKsQacD/raAon0RQsOK975TnXubwYV7d5k9HYsGTFoWqkf/oD7zjeneiulXDGX6FUMZ0boR36zfXVLXqKQ+98rCDWQXepkw5MiWpjtaxyW/iGlQsrlydJyZYZNRpjPoSOzegmrY2OSZtger12AzaLT051m7GKvfcBNF94HoLWagqF6zGKvXYLNMWGy8eZ9dZt8+67LbTCfubzMC/15kqQ6Tbv3RScHtWBfi/yOlj+Nmk/+fKaWaAC8DfYB8YAcwHpiute6qlBoGfANsA+oAKcCzWusZFb5hKb4HLz/ifyTrvOtR7XuCtwBn2tvFm8zYdz6D8+qDJlHT1tiX3GrWvty4AvfbKebcq+42nQTaRWfsN+vcZR6AyPpYl9yKiooBFO6cb0o21KuAm3pkG6Kpbv3wXH4rWBbO/J9wZ36Cfd41uDs2oVf+YaYk3vQAqnkbdE4WvneeMqM6wsLx3HAfND4JpRTO/J9xf5oGDRrhud2/5I5l4/75K+7MI1u+xm5ZaZ/PEVOjr0S16Qq+Qtxv34N9prHVumki7uRHTZoRF6O69i8ejayXz0PP/bbKf0unHt3IINW5D9aFN4Jl4f4xC/3zNKyzxqB3bUGvWQSeEKyr70E1aw25WTjvPwdpyajTL8UadXHAZnLOmxOr1Hir8wuPLMau/bAvG2di/P1n3O8/xTr3avTOzcX3hT32b8X3hTP56eLRPqr/adhnXgZa465ZjPvluwBYDOGb+QAAIABJREFUQ87CGnE+OA46LRnn/RcC9n2ozB2TFxzx5ztSY6e+R/thg6nXII7M5BRmTHyKBe99VC3vPbFP06M6L2zQEKLumQC2Rd63X5H93jvUG3cH3vVrKJj7K1H3TiD05FPM6J6sTDKffaLc5sr1br4NnZtLzn+mVOlvx18w+PCJKqDOGINq0wW8hbjfvV/yfbvxH7j/Nvu7qNMuMg+rkdGQdRC9Yh563gxo3BLr4r+a0Sw+L+Rk4k6qwnJdtn10MY+63DSUeQtxv/8A/BVX6/q/404x08TVsAvN+qNFMa/6HT3/O9TIS1EtOppRgvm5uL98akb/HInwo9uAV2vNE/PWMX93KuEemyeHd6drvHkIvuDz+Uy/1PzbPb9wAzM37yUlp4D4umFc1Kk5t/drx5b0LCb+toZcr1lC476BHRjUvGGlf6+0/Nl/Hj5RGXafgYTeOB4sC9+s7/BO+4CQMTfhblmPs2g+VttOhD30DKpeJBQWojPSyLv9SggJJeKl981nzsuh8M1ncbdvrvLfDx9e9bXztdY8MX99yTUe1q3kGk/7nemXmAaB5xduZOaWUte4YzP/Nc4219jnv8YDOjCoeYNK/16A0KNrDNda88Sc1czfmUJ4iM2TI3vRNcE0ql4wdQ7TxwwjKSuP06b8Quv69QixzUPmld1bcXHXFqxOPsCd3y0ms8BLqMeiQZ1wZlw1/Mj+uLfqS4LU5H0MoLce2ehj1bkP1kU3mXWp/5iF/vlzrLOuRO/aXFI+X1NUPmfjTHnWlM9nXIo16pLA8vmNf0D2QdSg0VjDzgXHh05Pxf3Py5B7mLIvJubQxw/B+su1ZgNEbyHOV5PN5vGA/dcncN582CRq0gr7wpshJAS9aRXuzA9Lzr/gZvSe/2PvPsOjqva3j3/Xnkmh9957kSAdRQULCqJHxIIIIoqIBQuiHLuIBTt6rAcbiooiKscKWFAiUgWp0ntLCD2NJDN7PS92SCGJEMgw5P/cn+vi0uxZM7kZdv+ttfY67IIZhfq96SsL/0wTp+0ZRN54t7e/mPE9ga8mEHHNTbjrVxH88w+cRs2J/PcYr2iQkY7dv5dD9wz03tu6A5GD7gAM7obVpI97vlDPjXLTjm/aB1/7M4m6+R5wHDJ+/o6Mzz8gcsDNBNeu8kZGNGlB9EPPZe3j3P17SB3WHyIiKfmKN+LKpiST9uZzhd7HGV/h+5752p9J5OC7wefz9slffEjEtUNw160iuCBzn/zAM7n3yXddB45D5C334WvZBrAEF80jffyrhf79UY1rHnNbp88QTLPM66dJb2aNGvDd8wLBlzMfZ1e7Eb5+w8AfiV39F+4U7xzTtOqEc/lNXtEuNRm7YxPuO09h2nXFOb+PN82Htbg/Tf7H4oMpm88Dh/+Bufg677oj4/B1xybv7zLUu3kIeOc7vQd7mdctw07zepubTt0xHTNHtK9ahP3lC699RJTXvnJNMAa7eBZ2zrSCQxzn+YXpfg2mQUvvmmnqR9nnQ4MexP3wGa9Ntz6Ylh28m+9JB7BLZ2P/+B7TtTemcUzWPOnuj58W6pkqduux3VgOxT7ZueE+TE1vTnx32mfYRUcvBppKhXtArOk10Pt+MtJwv34PdmwCwLn1Cdz/Zk6zVLM+zuVDMteLpdgfPvaW122C03OAVwALZHj7552bMZfdiGnRIXsUjhvEfXt0gRmCm7cX+FqurK074b82817A79Nxv5uI7/JB3r2AxXO8ewFDH8DUzbwX8N+nvYczV6pGxL3PeFNE7dtNYPxLsGcXlC2Pf/hT3oN/jcGuWkLw07eOabpKX/vTjylzQay1PDVzefa50QVtss+NPp3JlGu7EZeUyvnjfz7i3Kg+V51W758+On97C/cA+lDsL0zMmZizennXJtbixn4Dh4sP+bD7Cx55ZFq083634+DO/wX785c4Pftht6739pv+CJz+d3udBlOSCE4Ym7Xdm+5X4nS6wFsv//c+dtVf0KA5/jvHYHdsynq2p/vDJ9iVi3D634Wp1cBbf/Ym4E7+b4HPWfGP/Upz9ByHn6vU0k3mQuiesL3YrWcqJBQDhSkknAqOtZBwKimKQsLJdLyFhHA61kLCqSQUhYRQOt5CQjgdbyEhrI6zkBA2x3mhH07HU0gIt+MpJITVcRYSwuo4CgnhdqyFhFPGCRQSwuV4CgnhdLyFhHA6nkJCuBWmkHAqKGwh4ZRQDM8vjrWQcKoobCHhVHCshYRTyYkWEk66QhYSTgX/VEg4VamQcHxUSCic4lhIKH5nhSIiIiIiIiIiIiIictLoYcsiIiIiIiIiIiIictyKXfd6KTSNSBARERERERERERERkQKpkCAiIiIiIiIiIiIiIgVSIUFERERERERERERERAqkQoKIiIiIiIiIiIiIiBRIhQQRERERERERERERESmQP9wBRERERERERERERKT4MibcCSTUNCJBREREREREREREREQKpEKCiIiIiIiIiIiIiIgUSIUEEREREREREREREREpkAoJIiIiIiIiIiIiIiJSID1sWURERERERERERESOm561/H+fRiSIiIiIiIiIiIiIiEiBVEgQEREREREREREREZECqZAgIiIiIiIiIiIiIiIFUiFBREREREREREREREQKpEKCiIiIiIiIiIiIiIgUyB/uACIiIiIiIiIiIiJSfBlMuCNIiGlEgoiIiIiIiIiIiIiIFEiFBBERERERERERERERKZAKCSIiIiIiIiIiIiIiUiAVEkREREREREREREREpEB62HIxYKpXD3eEQvGdcXa4IxTazsdfD3eEQrM23AkKp+bA7uGOUGij2m8Od4RCGb1we7gjFNob9zQMd4RCsytXhDtC4WwvfutFVJOa4Y5QeE1ahjtB4axbGe4EhWbXrw93hMIzxeuBc6Z2nXBHKDTf1p3hjlAobmpiuCMUnr94rccANjkl3BEKxRTD66fgtKnhjlBovpjiday2CQnhjlBoJrIY3mJqcXq4ExRORGS4ExRa4J1x4Y5QaMVwTRY5KbRtiBRDxa2IICIiIiIiIiIi/3c5xa/vgRSSpjYSEREREREREREREZECqZAgIiIiIiIiIiIiIiIFUiFBREREREREREREREQKpEKCiIiIiIiIiIiIiIgUSIUEEREREREREREREREpkD/cAURERERERERERESk+DLhDiAhpxEJIiIiIiIiIiIiIiJSIBUSRERERERERERERESkQCokiIiIiIiIiIiIiIhIgVRIEBERERERERERERGRAqmQICIiIiIiIiIiIiIiBfKHO4CIiIiIiIiIiIiIFF8m3AEk5DQiQURERERERERERERECqRCgoiIiIiIiIiIiIiIFEiFBBERERERERERERERKZAKCSIiIiIiIiIiIiIiUiAVEkREREREREREREREpED+cAcQERERERERERERkeLLYMIdQUJMIxJERERERERERERERKRAKiSIiIiIiIiIiIiIiEiBVEgQEREREREREREREZEC6RkJx8AYUx14BegI7AfigeHAV9baVuHMVhBrLWP+WEns5gRK+H2MOT+GllXK5Wn3yrw1fLN6OwfSMlh480VZy3ckpvLQjKUcTM/AdeGeM5rSrV7V0Gf+JpbY1ZspEeFnTN/utKyV93cOfe9rEhKTCQQt7RvU5NHLu+FzvJrYx38s4dM5S3GMQ7cW9bmv11khyxvV5WzK//thjOOQPOULEse/k+v1UlddQ+lrBmDdIDYlhX1PPkZgw3oAIpo0pfwjT+CULgWuJX7AVZCeHrKsh0V3OZvy9z8MhzO/f0Tmq73MBIPY1BT2PuFlLtnrUsoMuimrXUTTZsT3u4KM1atCnhnAnH8VpsFpEEjHnfoR7NqWt83Z/8K07ATRJXFfvTd7+WmdMd0uh6QDANi/ZmKXzQlZ1qgzz6bsfQ+B45Dyvy9I/vDdXK+XvPIaSl7dP+s7PvD0KAIb12e97lSrQZXJ35L09hskfzw+ZDmP1cD33iDm0p4k7krgyZgzwh0nX9ZaxkyfT+zabd6+o/fZtKxRKU+7oZ/8SEJSKgHX0r5uVR69+IysfUeoOJcMxDRtAxlpBL98G3ZuytuoZn18V9wCEZHYNYtxv//Ie+/5V2A6nAvJiQC4P32OXbMEc3oXnLMvyX5/tToE33wE4raccF7Toh3OlTeD4+DO+Qn70xe5G/j9OANHYOo0guREguOfh727MM3a4Fw2CPx+CARwvx6PXbPU+8z2XXEuuhqsxR7YizthLCQfPKGczuWDMS3aQXo6wc9eg+0b8zaq3RBfvzu873XlItz/ve8tL1Ea5/oRmApVsft24U54CVKTIbokTv+7MRUqg+PD/e1r7IJfvX+fK4dCdElwXdxfvsAunn1C+Q+z1jLmf78Su3IjJSIjGNOvBy1rV8vTbujbX5JwMNlbdxvW4tErzsfnOKzakcDoL34mJS2dWhXL8fyAiykdHVUk2f4x8yl+flHk63FUCXzDn81+f/nK2AW/4n6Ve/9+wpmvGOKte3N+xP78Zd7M192DqdMYkg8S/OCFHJmvB58fggHc/32AXette85tj2PKVgDHh12/AnfyOLBukWXOyVrLmF+XELsxjhIRPsb06EDLahVytUnNCHDPd/PYuj8JxzGc17AGI86JAeCzJRv4dPF6HMdQKsLP4xe2o3GlskWa0cR0xN//dozjEIydSvD7z3I38Efgv/l+nPpNsEkHyXjrKdgdDz4//huGY+o3A+sSmPgmdtUSAJzO5+G7tD9gYf8eMsY9A0kntn8riK/9GUQNHQGOQ8aP35AxeUKu1yMuv5aIHr2xwQD2wH7SXnkKmxAHQPQTr+Br1org30s4NPre/D6+6PO27UzkTcPBcQj8/C0ZX32c63Wn5elEDr4bp34j0l4aRXDOb9l/l+tvx9++CziG4OIFpL/3yknJbFq2x9f3FjAO7h/TcX+cnLuB349v0H2Yuo2xyYkE330G9u6CilXxjxoH8d75qbtxNe6nr5+UzNZaxnz/R/b105Xn07JWlTzthn7wHQmJKQRcl/b1avDoZefkOgcaP2sxL0ydwx8P3UCFUiWKNKM5rQP+a28Fx0fw96m4Uz/P3cAfge+mkTj1vG0vMG4M7InH6XweTo+rsz+ndgMCTw7Dbt2Af+TzmHIVsZnXT4GXH4TEA0Wa+zBrLWNm/Z193Lugdf7Hvbmrs497Q3tkLd+emMojM5ayLzWdctERPNf9dKqXLtrv+LBQnHfi+HD6DMHUqO8dVxfPwsZ+e8JZzWnt8fW91fvMWdNwpx+5vUXgu/FeTN0m2OSDBN95Bvbs8l6rVR/fdXdhokt6++Uxd0MgA99dT2LKVgSfD3ftctxP3wztcW/yj8SuWEeJiAjGXP8vWtatUWD7YW9NYuvu/Xzz6C25lo//eS4vfPUzfzw/ggqlS4Yka67Mn/1A7LK13nnnjX1oWa9mwZlf/4StCfv4ZvQdAIwY9zkb43YDkJh6iDIlopky6vaQ5XViOuIfeAc4DsHffiD43ae5XjfNWhNx3TBMnYZkvPEk7oLYrNciRj6L06gl7pplZIx9OGQZRf5/pELCURhjDDAF+NBa2y9z2elA3iv9U0jslgQ2709mWv+uLI3fz+jYFUy6skuedufVq8KAVnXpOTE21/JxC9fTs1F1+rWqx7q9idz6w8KQFxJiV29m8+79TBs5kKVb4hk95Tcm3dE3T7uxAy6mdHQk1lqGfzyV6UvX0atNU+at38aMvzcwZXh/Iv0+9iSlhC6s41DhwcdIuHUwwfh4qn4ymdSZM7IKBQApU78j+YtJAER3O4/y9z7A7mE3g89HhadfYN8j/yZjzWqccuUhEAhd1pyZH3qMXbd4matNnEzqb0dk/uE7kifnyHzfA+y+/WZSfviOlB++AyCicVMqv/L6SSsi0KAlpkIV3PdGQ436OBf2w/3kxTzN7Ppl2L9m4tw0Ku9rqxdhf5mcZ3mRcxzK3v8oe4fdRDA+nsoTPict9tdchYLUad+R8qX3HUd1PY8y99zPvruGZr1edsT9pM3+PfRZj9GcDz7ht9ff5oYJ48IdpUCx67azec9Bpt1xBUu3JzD6+zlMGnJpnnZjrzqX0lGZ+47JvzH97030atUwZLlM09OhUnWCL98LtRvhu+wGguMez9POd9mNBP/3Lmxbj3P9SEyT1lk3At0/pmH/+CFXe7tkNsElmTeyq9XGN+CeIikiYBycq28l+MajsH8PvpFjCS6bB3Fbs5uceRGkJBF84hZMu3Nwet+AO/557wJv3JNwcC/UqIvv9icIPnoDOA7OlTcTfHoYJB/E6X0DTtdLcKd+WnCOo8Vs3g4q1yD4zB1Qtwm+K4cSfPXBPO18Vw4l+PlbsGUtzpCHMc3bYlf9hXNBH+zaZbgzpmDO74Nzfh/c7z/GnNUT4rcSfP8ZKFUW3wOvElz0O6SnEfz0Ndi9E8pWwHfPCwRXLYZDJ36MiV210TvuPTiYpVt2MvrLX5h0d/887cZefymlo6O8dffDb5m+ZA292jbnsc9/ZOS/utKxUR2+nLec93/9k7suDl0BHYrB+UUo1uO0VILP3Z31ft/Il3GXFGFB2jg4V99C8I3HvMz3vURw+fzcmc+40Mv8ZGbmywbhfvBCZuansjPfNprgYzcC4I5/Dg6lAuAMfgDT9izsotAcX2I3xrF5fxLTBvdg6c69jP7lLyb1Pz9PuxvbN6Fz3aqkB10GfxFL7MY4ujaozqXN69DvdG9/PGP9Dp7/bSlvX3l20QU0DhED7yT9hfthbwIRo97A/Ws2dkf2vtPpejGkJJJ+/yCczufiv/pmAm89hXNuLwAyHr0ZypQn4t4xZIweBsbgH3A76Q/dBEkH8fW9GV/3ywn+b0IBIU6A4xB120hSH7kTu3sXJV7+gMDc37Fbs4uo7oY1pAwfBGlp+HtdQeTgO0h77hEv+5cfkxEVTcTFfYo+WwF5I4fey6HHh2P37CL6+XcJzJ+F3bYpq4lNiCfttaeJ6H1t7rc2a4WveQyp91wPQPSYt3BOa4u74q/QZjYOvn63E3j1Ydi3G/8Dr+AunZtrO3S69MCmJBEcNQTToSu+PoMJvpdZZNy9k8CYO0ObMR+xa7Z4x5ER/Vm6NZ7R38Qy6bYr87Qb2++i7OunT6czffl6erVuAsDO/UnMXruNGuVLF31A4+AfMIyMsQ963+sjr+Eungs7c2x7Z/eA5CQyHroRp2M3fFfdRHDcGNx5v+LO+9X7mFr18Q8bhd26Iet9gXeew25eW/SZjxC7JYHNB1KYNqCbd9ybuZxJV+U91p5XvyoDYurR85OZuZa/MHslvZvV4vLmtZm7bTcvz13Nc93bFHnOUJ13mladwOcn+PqDEBGJ767nCC6dA/t3n0BYB9+1wwi88pC3Xjz4H9yl83KvF2ddhE1OIvjoTZgO3fBdMZjgO8+C4+Af/G8C41+AbRuhVBkIBgEIvv1M1vmZ75aHMe3Pwf45M98IJyp2xXo279rLtMdvZ+mm7Yz+bCqT/j0437Y//bWKklGReZbv3HuA2Ss3UKNi0RbOCxK7fC2bd+1h2tN3s3TDNkZ/8i2THrol37Y/Lfo7T+axt2Tfm3nu82mUKRHCzivGwT/objKeG4ndm0DkE2/hLpqN3bE5u82eeDLefg5/r7z3jILfTyIYFY3vvLzXhCJyYjS10dGdB2RYa/97eIG1dgmQdVZpjKlvjPndGLMo80+XzOU1jDGxxpjFxpjlxphzjDE+Y8wHmT8vM8bcE4rQMzbtonezWhhjOL16BRLTAiQkH8rT7vTqFahSKjrvBxhIyvBubielB6haMrQ9HAFmrNhA7/YtvMz1qpOYmkbCweQ87UpHewe0gOuSEQxiMh8K/9mcZQw5tz2Rfh8AlUJY0Y9s1ZrA1i0Et2+DQAap03+gxLkX5Gpjk7OzmxIlwVoAos88i4y1q8lYsxoA98B+cEPTU+LIzBk5MqdM++fMTo7MOZW8+BJSpv2QZ3momMatsSvmez/s3ARRJaBUPidbOzedcC/nExVxWmuCOdeLH38gqlvuGym514sSub7jqG4XENy+jcCGdSct89Gs+302KXv3hTvGP5qxegu9T2/k7TtqVyUxLZ2ExLw3eUtHHd532Mx9hwlpLtOiPXbxLO+HbeshuhSULn9EqPLeOr3NKzbZxbMwLTsc8+9wWnfBLp1bNIHrNcHu3gl74r2ezQtjMTGdczUxMZ1x5/2SmfUP76IVYNsG70YmeBeBEZFer26M9ycy8xgSXRJ7YO8JxTStOmIXZl4UblkLJUpBmSO+1zLlvREEW7wbDHbhTO9CGDCndfRGGgB2wa9Zy7HW+7cAiIqGlCRwg14BYfdOb/nBfd7optJ5eyIejxnL19O7fcvM417NzONeUp52h0cZeMc9F4O37m5K2EeHhrUB6NK0Hj8uC/0NlVP+/CIk63EOVWpCmXKwfkXRZk7IkXnR7/lnnj+jcJkziwg4Pm9ZPsf0ojJj/U56t6znrRc1K5GYlkFCUmquNiUi/HSu6xWNIn0OLauWJz7Ra1M6KiKrXWpGEIp492waNsPG74CEnd53PO83nLa5bwT62nYhOOtHANwFsTgt2wLg1KyHu3Kx1yhxP6QkYeo3xTsBNd7+Au9cz+7bU7TBMzlNW+Lu2IaN2wGBAIHYn/Cf0TVXm+DShZCW5uVftRyncnaBLrjkT0gNYQebI/M2aYG7c5v3nQcCBGf9gr/TObna2IQ47Ob1+ayXFiIz12N/BPj8J3zcOBamflNswg7YHeetI3/G4px+Zu42p5+Bnfuzl3LRLEzz00Oe62hmrNxE77bNvG2vbnUSDx3D9VMg+zgC8NwPf3BvzzNyLSsqpkEz7K4c3+v833Da5P5enTZn4s7+CQB34e84zfPeZHc6nYe7IDQ3hI9mxsb43Me99MId99bvTaJzLW+kbOdalZixcVdIcob0vDMyChwH/JEQDEBa6tHf809ZGzTNvV78ORPn9Nwjn83pZ+bY3n7HZK4XpmV77PaNXhEBvBEUh0cdHO7k4fi8/QchPO4tXU3vzjHeetGgNokph0g4kJinXfKhdD6cMZdbLs5bHH/uy5+4t88FIdn28jNj8Sp6n9HGy9yojpd5f36Z0/jwp9ncckm3fD/HWsv0P5fTq1PrkGU1jZpj47d750fBAMG5M3Da5+64YnfHe8XFfEaduH//dVKPe5LNGP0pzJ/iSCMSjq4VsPAobXYBF1prDxljmgCfAh2A/sB0a+3TxhgfUBJoA9Q6PCWSMaZ8QR96InYlH6J66ewTmWqlo4lPTsv/oj4fd3RozJDvFvDJss2kZgR577JOoYiZy66DyVQvl90Tplq50sQfTKJK2VJ52t787tcs2xbPOc3qcVFMYwA27d7Pwo07+M/0uUT5fYy85Gxi6oRm4IivajWCcTuzfg7GxxEZk/diotQ1/Slz3Q0QEcHuoTcA4K9XH6yl8pvv4lSoQMr0H0j64L2Q5PzHzLvyz1z6mv6UGehlTrj5hjyvl+xxMbuHDwth0txM6fK4iTluZCfu906CC1E0ME3aYGo3hn27cH/90vuMEPBVrUowPi7rZ3dXPBGt8p5glby6P6UGDML4I9hzm9dz1JQoSelBQ9g77CZKDbwxJPn+r9qVmEL1HPuJamVKEZ+YQpUyeYuJN3/8I8t27OacxrW4qEW90AYrUwF7IPumkj24F8pWgKQc61/ZCt7yw20O7MWUyZ4OxDnjQmh7Nnb7Rtypn+TpBW9iOhP8+OUiiWvKV4J9OXqX7d+Dqd801yWYKVcpuwea63pTApUqm2t7NG26YLetzxpp5X7+Jr4HX4f0Q5CwA/fz/3JCylXE5ugFZw/sgXKVcm/X5Sph9+f47vfvwZSr6P1Qpnx228T9WUUI+8dUzOAH8Y16F6KicT8am/cGV53G3hQye+IoCrsOJFG9fJmsn6uVK038gSSqlM3bK/TmcV+ybGsc5zSvz0Wne71IG1erxC/L19M9pjHTl64hLp+LwaJ2qp9fhGo9zlrevit20ayiz5yzZ+f+3Zh6zf4586Fkrxdmcva/eX6Zndsex9Rriv17YZFNyZWfXUmpVC+TPVVHtdIliE86RJUCpu84eCid3zbsZGDbxlnLJi5ez4cL15IRdHn/6nPyfd/xMhUqY/dm37yz+xJwGjbP3ahCJezeBO//D68XpcvibtmA0/ZM3LkzoGJVTP2mmEpVsRtXE5jwHyKfegfSDmHjt+NOeK1Ic2flr1QVuzs+O//uXTjNTiuwvf+iywj8GbppHI/GVKyC3Z3j+96zC6dpwXlzclevwF22iJLvfwMYMqZ+id22+ajvO2FH7Dvsvt2YBs1yNTHlK2H35VxHUrI7t1Sqjv+h17CpKbjfTsCuK8Ji4z/Ic/1UtjTxB5Pzv34a/513/dS0Lhdljsj85e+NVC1biuY1KocmYIUc3xnAvt2YPNte5SO+V2/byzlNmNOxK4HXH8/1Nt+N93pTDi6ahfvdxNDkJ5/jXqlo4pMPHfNxr3nlMvy8IY6Bpzfg5w3xJGcE2H8onfLReXuon5AQnXfa5fMxzdvhu/91iIjE/eET79/oRJSvDDnWiwK3t705j9Xe9maq1QJr8d31FKZMOdwFM3F/zJ7C0HfXU5j6TbEr/sQuLNrjdU679idSvUJ257ZqFcoSvz+RKuXK5Gr32ne/ccMFZ1AiMiLX8l+WrKZquTI0z2dKy1DZte8g1Stmd4bxMh+kSvkjMn89gxsu7JIn82EL126mUtnS1K+WdyrZopLnuL13N06jFiH7fSJy7DQioWhEAO8YY5YBk4GWmcsXADcaYx4HYqy1icAGoKEx5jVjTE8g37uhxpihxpg/jTF/vjN7Wej/Bkf4ft1OLm9Wm1+vP5//XtKB+39ZghvCnmyF9c6Q3sx8eDDpgSDz1nnzkQZdlwOpaXw27GpTiKaUAAAgAElEQVTuu+QsRnwyDRvmzMmTJhL3r4s48J+XKHPzbd5Cn5+otu3Z+9B9JNw4gBLnXUhUp1Nn7vmkSRPZeelFHHjlJcoezpwpMqY17qFDZKwLfa/XomLXL8d9ZxTuh89gN63CuXhguCORMnkiCZf34OBrL1H6plsBKD10GMkTP8Sq50RIvXPdRcwc0Zf0gMu8jUVzMzhU3Hk/Exw7guAbD0PifpyLB+RuULuR92yVfJ4ZEjbV6+JcdgPuZ294Pzs+zNm9CD5/N8FHBmF3bMJcdFV4Mx4p8zhhmrWB7RsJjh5C8KX7cPoMyR6hAFCmPL7+dxH87PWQ9uwuyDu3XMnMUbd4x7213qDIp67pwWezl3DVyx+TfCidCJ/vpOcqrFP9/ALIux7n4LQ7B/fwiJhTSfU63nRHk97Mtdh963GCjwwCfwSmaeh6DhZGwHW574f5XNe2MXVyTKXSv00jpt/UkxHntGLcvJM0feIxcH+fit27m4jH38Tf/3bctSu80Uo+H77z/0X6Y7eSPvwa7NYN+C699ugfGGL+83ria9KCjC8/PnrjU5CpXgtTuz4pQ/qQMuRyfDHtcVqEv+f/Pzq4l8DDgwiMuZPgl+/gu/HfEB2aOfBPxDs3XsrMBwaRHgwyb8N2UtMzeHvmIu7s3jHc0f6RadAMm56Wa0qTwDvPEXj8VgLP3YvTpBXOmd3DmPCfjezSggU79nLF57NYsGMv1UpF45yC3VALPO+s3RCsS/C5Owm+NALnrF5QIe9zOE4ax4dpfBrB954n8Px9mLZdskYrAARffYTAvwd4x70wjxpauTWOrQn76N4md/EsNT2Dt6f/wZ3/yr/Hfzit3LKTrQl76d6uZYFtvp+/jF6dYk5iKhE5lWhEwtGtAI521+MevAcwn45XnDkEYK2NNcZ0BS4BPjDGjLXWTsh8xkIP4FagL5BnMj1r7dvA2wDBV4Yf0xX2xOWbmfy3d3Mhpmo54pKyh1zGJx2iWqljnz7gy5XbePtSb5hjm+oVSA+47EtNp1IRT0EwcfZSJs/3euzE1K5K3IHsKR3iDyRRLZ9emYdFRfg5v2UDZvy9gS5N61K9XGkubOVNb9K6TnUcA/uSD1ExBA+zCu6Kx1c9+2FKvmrVCe6KL7B96rTvqfDQKPbhjV5IW/Qn7n6vd8ihWTOJaNGStPlFND3JsWauWp1gfMGZU6Z9T4WHcz9voGSPXqRM/T5kGQ8zbbpiWntDF23cZkyZCtk9M8uUz92z5mgOZfeYsctmew9eDpHgrl34qlXP+tmpWu0f14tDP/5AuQdHcQBv6qnoC3pQ5q77cMqUAdfFpqeR8nnoelgVZxMXrGTyojUAxNSsTFyOYfzxiclUy2c0wmFRfj/nN6vDjDVb6NKo4AeMHQ/TuTtOh/MAsNs3YMpVylp3TdmK3tQ4OR3c5y0/3KZcRTg8AidH72j3z1/xDcz9gEwn5gzcInxwuN2/x3vQ8GHlc/fqh8ze/+Urw/493hD3EqWyc5avhO/mhwh+9LI3VB28i0/I+tldNAvnwqsKPdDcnNUTp7N3k8BuXYcpXzn7ey1XCQ4cMZ3IgT1eL+/DbcpXgsNTYxwehXD4v5kPYjcdz8edMcVrsyfO6wVVtRZsXec9bHfIw7hTJ2ZNl3S8Js5azOR5XgeBmDrVco0iiD+QRLVyRznutWrMjBXr6NKsHg2rVeTdW7y5sDcl7CN25YYC33tCmYvR+UVI1uPDatUHnw+2rqco2f17MOVzZq6cq1dpvpmjS2WPRihfCd+Qhwh+9ErezACBDOyyeZiYztjVi4ss98TF65m8zJtaIqZaBeISs6e6iE9KpVrp/HvrjvppEfXKl+b6dk3yfb1X8zo88UvRzodv9+3GVMye6sdUqJJ3GqJ9e7ye9Pt2Z68XmT2ig5++RTCzWcTD/8HGbcPUzRxNkeCN9gzOn4nvkn5Fmjsr/55dmMrZvVZN5arYPQl52vnadCTymhtIvf82CGSEJMuxsHsTMDmmVjKV8s+bH/8Z3XDXrMiamiu4aC6+ZqfhrlwSkqxZ9u+BHPsOUyFze8vB279U8fYpjgMlSmbvOwKZ2+OWddjdOzFVa2NP8HhRkIlzlzN5wd9APtdPB5Ools9ohMOiIvyc36IBM/7eROXSJdm+7yB9Xpuc9d4r3/iCSbddme+ozuOyz/vOslSo7G1judrsztwm8257AE6nc3Hn/5b7PYf/bdJScef96vVmn/Nz0WQGJi7blOO4Vz73cS/5ENWOcTQCQNVS0bx6cXsAkjMC/LQhjrJR+ff0LqyTcd7ptO7iPUPBDULyQeyWNZhaDXOPNCms/btzFSMK3N4qVvZGoebY3uy+3di1y7Py2mULMHUbYVflOL4FMnCXzPWmI1tZdMeTiTP/ZPIf3ufF1KtB3L7s7yx+30GqHdGzf8nG7SzfspPuj7xG0HXZk5jMoJcn8HDfnmzfvZ8+T7/jvXf/Qa585l0m/XswVf7hPPC4Mv86j8mx3gQbMQ1qEbc3+6HkXubcUwYv2bCV5Zt20P2BsQSDmZlfeJ8PR3q3rALBID8v+pvJj9xapDmPlOe4XbHyia1zIlJkNCLh6GYAUcaYrKehGmNaA3VytCkH7LTWusBAwJfZrh4Qb619B3gXaGeMqQw41tovgUeAdkUVtH+rekzpezZT+p7NBQ2q8fXq7VhrWRK3jzJR/mMefglQo3Q0c7d5B/P1+5JIC7pULFHEwy+B/l1aM2X4tUwZfi0XnNaQrxeu9DJvjqNMdGSeYbnJaelZ834Ggi4zV22iQVVvOOb5pzVk/nqvZ+6mhH1kBF0qFOLvXBjpK5bhr1sPX81a4I+gRI9epM6ckauNv272tCnR55xLYIvXi+bQ7FlENG6CiY4Gn4+o9h1zPfA4VNJXLCOibj18tbzMJXseJXPX7MwAGEOJHheTMi30hQS7OBZ3wrO4E57FrluKOS1z6osa9b05OQvzLIScz1NoFFNkU5LkJ+PvZfjq5FgvLupFWuyvudr46mR/x1Fnd8v6jvfcPJCEy7qTcFl3kj+dQNL4t1VE+Af9O7Zgyi29mXJLby5oVpevl6z39h3bdlEmKjLPBXByekbWcxMCrsvMtdtoUKlo5rnPyc77meAbDxN842Hs3wsxbTLnQ63dCNJS8hbBkvZ763TtRgCYNmdjV2bOppdjXlvTsgM2PsfIA2O8m4JLi3Dqii1rMVVqQqVq4PPjtO+KXTY/999v2TyczhdkZj0Lu8Z7OB8lSuG7dRTuNx/CxpXZb9i/B1O9jjdFAXjzHsdvpbDsH9MIjr2P4Nj7vCH27TN7cNVt4k33dOR0ZYn7veV1vRuVpn037PIF3met+BPT0bvoNh3Pw65YkJl1N06TzN5VpcthqtaEvfHed3Hjv3H//K1InkfR/+w2TLl3IFPuHcgFrRrz9cK/M497OzKPe7kvIL3jnneTKBB0mfn3BhpU9W4C7Mlcp13X8t+f5tL3zND0vCtW5xehWI8zOe27YRfG5lleZJkrZmZudw522bzcmZfPx+l0fnbmtTky3/IY7jcTcmeOjPamtABwHMxpR+xDikD/No2YMrA7UwZ254LGNfn6783eerFjD2UiI/Kd1ug/f6wgKS2DB8/Lva5u2pddUJu5YSf1KhTtjRS7cbU3HUbl6t533Plc3L9yT/UUXDwb39kXAd40KlnPRYiM8r5PwJzWDtwgdscW7yZHzXreMzMAp1V7bI4HhRYld81KnFp1MNVqgN+Pv+uFBOflXhedhk2JuuMBUp8YiT0Q3mcbuWtX4dSojanq5fWdfQGBBcc2xYibEI/vtDbeHOc+H77T2uCehKmN7OY13n7/8L6jQ1fvYcs52yydhznDK2qbdmdjV2duh6XLgsm8rK5cHVO1pveslhDpf0YrptzZlyl39uWCFg34+q/V3ra3JY4yUVH5XD9l5L5+Wr2ZBlXK07R6JWY9dCM/j7yOn0deR7Wypfly2FVFV0QA7KbD217m99rpXOyS3N+ru2QuTpcLAXDan4O7KkfRyBjv3yJnIcFxss4r8PlwWnfGbt9UZJkB+sfUZ8o15zDlmnPyHvciC3fc25eanjXy7p2F67miRe0iy3kyzjvtgT2YhplTk0VEYeo09p4nciK5Nx25vXXDXXLk9jY3x/Z2DjZzvbB/L8TUqg8R3nMbTNMY7I4t3vNqchz3nJiOEFfEx71uHZjy0M1MeehmLmjdjK/nLfPWi43bKFMiOs+0Rv26tmfmM8P5+ak7+fjeQdSvWokP77meprWqMuv5Efz81J38/NSdVCtfli8fHFLkRQSA/ud1Zsqo25ky6nYuaNOcr+cu9jKv3+plPqL40e/cTsx8cSQ/PzuCj++/ifrVKmUVEQDmrNxAgxqVc02RFAp2wypvhFoV77jtO+N83EXhm7JPRLJpRMJRWGutMaYP8Iox5n680QabgOE5mr0JfGmMuR6YBhzuGnsuMNIYkwEkAdcDtYDxxhw+2+TBUOTuWrcKsZsT6DlxJtF+H0+flz2cvc/ns5jS1zvJeHHOKr5fu4NDgSDnTZjBlS3qcEfHJvy7S3NGzVzOhKWbABhzfkzIH0zatXl9YldvpufzE4iOjODpq7MfBNznlU+ZMvxaUtMDDPvwO9IDQVxr6dSoNtd09m78XNGhJY988QuXjf2ECJ+PMX27hy5zMMj+Z5+k8lvvYRyH5K+/JLB+HWVvu5P0v5dzaOavlOo3gOjOZ2IDAdyDB9n72AMA2MSDJH30AVU/mQzWcmhWLId+PwnTJASD7HvmSapkZk76X2bm2+8kfYWXuXS/AUSfcSY2I4CbeJA9jz6Q9fao9h0Jxu30HiR8Mm1YgW1wGs6QUZCRgTste6i+c/0DuBOeBcB07Y1p0QEiInBueRK7bA529g+YdudiGsV4vWgOpeR6f5ELBjn4wlNUfO1d8DmkfvMVgQ3rKH3LnWSsXE5a7K+U6tufyE5dvJ4yiQc58HhIdgFF5qaJ79P03LMpXbkSz2xdybejxjD7/Y/CHSuXrk1qE7tuOz1f/4roCB9PX5b9MLM+475myi29vX3HpF9ID7jevqN+da7p0OwfPvXE2TWLMU1PxzfiJUhPJ/jV21mv+YY97Q0dB4LffIDvyqEQEYldswS7xrtQcnr2w1SvB1jsvt24X7+f9X5Tv7nXw74oe+a4Lu7k/+K7fTQYB3fuzxC3BafXAOyWtdjl87FzfsJcPwLfY+MgJYng+Oe9PF0vgco1cHr2g55ej9zgG4/Bwb24Uz/Fd/ezEAxg9ybgfvzKCcW0KxdhWrTD9+AbkJFGMMf0M74RLxIce5/3+798B1+/O7zvddVf2FWLvL/mjK9wrr8Xp9MF2H0JuBNe8pb/NBmn3x347hsLGNzvPobkREy7rpiGLTEly0BmASL42euwY9MJ/T0AurZoQOzKjfR85n2iI/w83a9H1mt9XvqIKfcOJDU9g2Hvf53juFeHazILBj/8tYqJf3g3Oy+MacIVnY5tDvITynyqn1+EYj0+PGql7dkE/zu66LLmzPzFOHy3Pw7O4cxbcXr1x25Zl5154Ah8j46DlESCH7zgZTrncOZroOc1XuY3R4Ex+G5+xHvYpDHYtcuwf0wt+uyZujaoTuzGOHq+P91bL3pkP7yzz0c/M2Vgd+ISUxg3bxUNK5bhyo+9h10PaNOIq2IaMHHxeuZs2YXfcSgXFcmYHkU81YrrEvj4NSLuexbjOAR/n4bdsRlfn0HYjWtwF8/BjZ2KM/QBIp/7EJucSMZbT3vvLVueiHuf9R7muG8PGW975x3s30Pg64+IeHAsBIPYPfEE3nmhaHNn5Q+S9taLlHjyVXAcMn76FnfLRiKvG0pw7UqC834n8qY7Ibok0Q+OAbyHGR96YiQAJZ4bh1OnHkSXoOSH35L2n6cILpr3T7/xhPOmv/My0aPGguMj8Mt32K0bibh2CO66VQQXzMJp3Jyo+5/BlC6Dv+NZ2H5DSL37OoJzfsUX044S/5kA1hL8ax7BP/8IXdaszC7Bz97Cf+dT3nY4+0fYuQXn0uu8fcfSebh/TMd3w334R7+LTUkk+N5zAJgmMfguvc57CK21BCe+DilJ//z7ikjXZnWJXbOZnmMneseRK87Leq3Pa58z5c6+pGZkMOzjqdnHkYa1uOYkHC8Ab9ub+AYRw8eA4xD840dv2+t9Pe6mNdglc3F/n4Z/yL+JGDMem5xIYNyYrLebpjHes0tyjrbyR+C/Z4w3Qsz4sCsX4caGcP9WrwqxW3bR85OZRPsdnj4/x3Fv0u9MucZ7psuLs3Mc9z6cwZUtanNHp6bM37GHl+euxgAdalbk0a6h+e5Ddd5p5/2EuWIovjufBWNwF8UeV6eQXA5vb3c/BY4P94/M7e1fA7Gb13jb26zp+AaPxP/ke9jkRILvZu57U5II/vwV/of+A9biLl/gdRYpUx7fsMcxmcc9d81S3NjQdYDr2qoxsSvW0XPUG969i4H/ynqtz5h3mPLQzSH73cera0xTYpetpefDr3iZb+iT9Vqf0W8yZdTtR/2MqfOX0avjSZgq0XUJTHiNiJHPgeMjGDsVu30T/ituwN24Bvev2ZgGzYgc/gSUKo3T5kzsFTeQ/qBX9Ih85BVMjboQXYKo/0wi490XcJf9GfrcIv8fMOGeQ16O7linNjpl1G989DanmJ2Pvx7uCIVSHDfbmgNP3blLC7Lrs1/CHaFQRi/cHu4IhfbGx6d2ISU/duXJeYBikTlw4OhtTjWRRT8CLtTMeReFO0LhrMvb4/5UZ9eHfvRekTsF58H+J+a0VuGOUGiBOfOP3ugUkpEQ+oeiFzUTWfz6nkVWD21v2aLmXFDMjiFAcFrobt6Hii+m4HnfT0U2ofhN5WIT9hy90SnG6ds/3BEKJ6L4nSdnvDMu3BEKLfqjGcXrJO4UMbd6nWJ4typ8zojbWuzWM01tJCIiIiIiIiIiIiIiBVIhQURERERERERERERECqRCgoiIiIiIiIiIiIiIFEiFBBERERERERERERERKZAKCSIiIiIiIiIiIiIiUiB/uAOIiIiIiIiIiIiISPFlwh1AQk4jEkREREREREREREREpEAqJIiIiIiIiIiIiIiISIFUSBARERERERERERERkQKpkCAiIiIiIiIiIiIiIgVSIUFERERERERERERERArkD3cAERERERERERERESm+jDHhjiAhphEJIiIiIiIiIiIiIiJSIBUSRERERERERERERESkQCokiIiIiIiIiIiIiIhIgVRIEBERERERERERERGRAqmQICIiIiIiIiIiIiIiBfKHO4CIiIiIiIiIiIiIFF8m3AEk5DQiQURERERERERERERECqRCgoiIiIiIiIiIiIiIFEiFBBERERERERERERERKZAKCSIiIiIiIiIiIiIiUiBjrQ13BjmKxB4ditU/klMiMtwRCi360gvCHaHwEnaFO0GhHJq3LNwRCi2642nhjlA49RuGO0GhDbvumXBHKLQxZ9YNd4RCKduufrgjFF5UVLgTFNq6rxeHO0Kh1GlZNdwRCi2qZb1wRyg0U6dOuCMUSsacP8MdodD8DWqHO0KhmJ59wh2h8HbHhTtB4W1aG+4EhXJg0k/hjlBo5S7tEu4Ihfbry9+HO0KhdDytcrgjFFqpDk3CHaHQlkxcEO4IhRIshvfw2r80LNwRCs3X/349N/g4LKhRt/itoGHUceeWYree+cMdQESOQzErIoiIiIiIiIiIyP9dxe6uuBSapjYSEREREREREREREZECqZAgIiIiIiIiIiIiIiIFUiFBREREREREREREREQKpEKCiIiIiIiIiIiIiIgUSIUEEREREREREREREREpkD/cAURERERERERERESk+DLGhDuChJhGJIiIiIiIiIiIiIiISIFUSBARERERERERERERkQKpkCAiIiIiIiIiIiIiIgVSIUFERERERERERERERAqkQoKIiIiIiIiIiIiIiBRIhQQREREREREREREROW6O0Z/C/DkWxpiexpjVxph1xpgH8nn9BmNMgjFmceafITleG2SMWZv5Z1BR/Bv7i+JDRERERERERERERETkxBljfMAbwIXANmCBMeYba+3fRzSdZK2944j3VgRGAR0ACyzMfO++E8mkEQkiIiIiIiIiIiIiIqeOTsA6a+0Ga2068BnQ+xjf2wP4yVq7N7N48BPQ80QDqZAgIiIiIiIiIiIiInLqqAVszfHztsxlR7rSGLPUGPOFMaZOId9bKCokiIiIiIiIiIiIiIicJMaYocaYP3P8GXocH/MtUN9a2xpv1MGHRZsyNz0jQURERERERERERETkJLHWvg28/Q9NtgN1cvxcO3NZzs/Yk+PHd4Hnc7z33CPe+9txRs2iQoKIiIiIiIiIiIiIHDfjmHBH+L9mAdDEGNMArzDQD+ifs4Expoa1dmfmj5cBKzP/fzowxhhTIfPni4AHTzSQCgkiIiIiIiIiIiIiIqcIa23AGHMHXlHAB7xvrV1hjHkC+NNa+w1wlzHmMiAA7AVuyHzvXmPMk3jFCIAnrLV7TzSTCgkiIiIiIiIiIiIiIqcQa+0PwA9HLHssx/8/SAEjDay17wPvF2UePWxZREREREREREREREQKVOxHJBhjagNvAC3xCiPfASOttenGmE7Ai0A1IAVYCNwF9AU6WGvvOIbPHwzcA9jMz38Yb16ps4BIoAGwOrP5U8ClQDfgIFACmAs8ZK3dZowpCUwGGgFB4Ftr7QMn+h3kx9fhTKJvvQ98DhlT/0f657kf2h1xxQAievaGYBB7YB+Hxj6B3RWHqVqdEo+9CI4Bv5+Mrz8n4/svQxExb+a2nYkcMhwcH4GfviXjq49yve60bEPkTXfj1G9E2oujCM75NfvvM+h2/O27gHEILllA+rsvhzyvtZYxM/4idkMcJfw+xvTqRMtqFXK1Sc0IcM83c9i6PwnHGM5rVJMR3VoDMGX5Rl78bSlVS5cAYEC7xlzVumHIc5sLr8E0agUZ6bjffQDxW/O26dobE3MGRJfEfenu7OVtu2LanQvWhfQ03Kkfw56ded5flIrbegFgLuqHaRST+R2Ph7gteducezkm5kzvO37hzuwX6jTBuegaqFobd8rbsGrRScl8mLWWMdPnE7t2GyUi/IzpfTYta1TK027oJz+SkJRKwLW0r1uVRy8+A59zatSmB773BjGX9iRxVwJPxpwR7jgARHQ+i5LDHwCfj7Rvv+TQR+/lej263/VE/etKbDCI3b+X5DGP4sZ521aJ2+8hoktXAA6NH0f6L9NCltO0aIdz1VBwHNzZP2J/+iJ3A78fZ+AITN3GkJxI8P3nYO8uqNcU37WHD6kG94eJ2KVzvB9LlMLpfxemRl0Agp/8BzauKrLMzuWDMS3aQXo6wc9eg+0b8zaq3RBfvzsgIhK7chHu/zI7ZZQojXP9CEyFqth9u3AnvASpyd7fotFpOL1vBJ8fkg8SfPOxvJ97gkp17UrVRx7F+Hzs/3wSe8eNy7ddmR49qPXGm2y6/HIOLV+WtdxfowYNp01n96uvsve9d4s8X3587c7w9sk+H4EfvyHjyyP2yae1IXLIcG+f/MJjBGcfsU/u0AWA9EnjCc76JWQ5nX8NwjRrCxlpBCe/BTs25W1UqwG+q28DfyR29V+433rnSs6FfTEt24O12KSDuJPfgsR93rp81S2YitUgkEHwi/9C/LYiz26tZUzscmI3xXvnFxe2pWXV8rnapGYEuGfqn2w9kOKdXzSoxoizWgLw5/Y9PBO7nDW7D/Jiz/b0aFKzyDPm5LTuiH/gHeD4CP72PcFvP831umnWmoiBwzB1GpHx+hO4C2K95XUbEXHjPVCiFLhBAl9/gjvv1/x+RdFl7TUQ0/R0b7346m3YuTlvo5r18V0x1Fsv1izB/SF7HTedL8Tp3B2si129BPfHz6B8ZXx3PQe7vX223boO99sPQvr3sNYyZuK3xC5bTYnISMbcdBUt69XK027Qc2+TsD+RqMgIAN69dzCVypYOabY8Ob+ZSeyqTd45Rd+LaFm7ap52Q9/9HwmJyQRcl/b1a/Jon/PwOQ4jPv6BjQn7AEg8lEaZ6Cim3DMgtHln/U3s5gRv27ugNS2rlMvT7pW5q/lm9XYOpGWwcGiPrOU7ElN56JclHEwP4LqWe85sRrd6ef++Ram4nF/k5F2LxEAg3dtW4vM5T+52efa1yIt3ZS/v1B3T5mxwXUhJxP3uQzh4wrM0/KNK559L06efwPgctn/8KZtffSNPm6q9/0XDkSPAWpJW/M3yW+8gunYtWn/4HsZxMH4/W98dz/YPP8r7C0LA36kL0Xfc790L+H4KaRNzd0aNvHogkZf08e4F7N9HyvOjsPHeemGqVqfEyMdxqlYDa0l+4A5s3I6Q5HR6D8a0aOudw016Pf9zuFoN8fUblnkO9xfu197fxbQ+E+eivlC1FsFXH4Rt673lTVrjXDLAO38LBnC/+wi7bnmRZy97bjfqPDkKHB+7P/2M+NffyvV6pb5XUevRh8iIiwNg1/gJ7Jn4GQCNP/mQUu3akjT/T9YPGlzk2QpS7rxu1H3icYzPR8LEz9j5+pu5Xq/c9yrqPPYw6TsPZ/6QhImfEVm7Fk3efxuMg4mIIP79D0iY8HHI81prGTNtHrFrt3rHkMvPoWWNynnaDf14OglJKZnXpdV4tNeZ+ByHaSs28sbMv9iQsJ9JN19Gq5p53ysihVesCwnGGAN8Bbxlre1tjPHhPe36aWPMi3g37ftZa+dktr8KKFOIz6+NVzhoZ609YIwpDVSx1n6d+Xp94DtrbZsc77kUr5DxRWa+4cAMY0yrzCYvWmt/NcZEAr8YYy621k49ke8hD8chetj9pDw4DLs7npKvTSAwNxZ3S/aB2V2/ipQ7v4C0NCIuvZKoIXdxaMxD2L27SbnnRsjIgOgSlBo3icCcmdi9u96Iuy0AACAASURBVIs0Yn6ZI2+5j0Oj7sbu2UX0C+8RmP87dtumrCZ2dxxprz5FxOX9c7+1WSt8zVuTOvx6AKLH/BenVVvc5X+FNHLsxjg270ti2pCLWbpzL6N/Wsik67rnaXdjx2Z0rluV9GCQwZNmErthJ10b1gDg4uZ1eKR7u5DmzKVRK0yFqrj/fRRqNsDpOQD3w2fzNLPrlmIX/opz65O5l6+Yj/3LuwFA49Y43a/GnfRq6PIWw/WCRq0wFavivvUw1GzofccfPJOnmV2zFPvnrzi3PZX7hYN7cb8dj+ncI897TobYddvZvOcg0+64gqXbExj9/RwmDbk0T7uxV51L6ahIrLUMn/wb0//eRK9WoS+EHYs5H3zCb6+/zQ0T8r8pe9I5DiXve4TEu2/G3RVH2fcmkf77r7ibNmQ1CaxZyaHB10DaIaL6XEOJ2+8l+bH7iOjSFX/TlhwcdBVERFL2jfGkz/kdUpKLPqdxcPreRvD1R2D/HnwjXya4bB7EZRcbzZkXQWoywdFDMe274vS+AXf887BjM8Hnh3sX9mUr4HvwNYLL54Hr4lw1FPv3Qtz3nvEu6iKjii5y83ZQuQbBZ+6Auk3wXTnUu5g8gu/KoQQ/fwu2rMUZ8jCmeVvsqr9wLuiDXfv/2Lvv+KiqtIHjv3NnJo2EdJLQIfQO0kRFiiAqinVRrCiKLq4N7A0s2HF1F6XYsKCIvojIioBURUBBqvQOIYX0hJSZe8/7xw2ZTIoSyRDZfb774ePOvedOnkzO3Hv62Yy1ZA5qwBUYA67Amv8xBIVgXHk75vTnIOsYhNatsZhLGQZx48dz6OabcScn0/T/5pD3/fcU797tm6xOHSJvvoWCDRXvXfUef5y8FctrPraqGAYBo8dS+FTJPfm19+x78qH9pUl0WjJFbzyL63Lfxj5H9z44EltTcO/N4HIRNHEy5rqfoOB4jYepWnex88Wr90GjFjguH4X51hMV0jkuvw3zy2lwaDfGyEdQrbqgd27AWjEPFn1uv1efIRgDr8T66l2Mfpejkw5gfTQJYutjDLsV653nKrzvqVpxIJUDWfksuGkgm5IzmbB0E7OG962QbmTXFvRqFEOxaXHrnFWs2J9C36ZxJIQFM3FQF95fv6fGY6tAGThvvhf3iw+iM9IIeGYK1rpV6KQyDfTpKbinvoTz4uG+1xYX4Z7yAjrlCEREE/jcVIo2r/XP/Q1QLTtDdBzmP8dBw0Qcl47EnDa+QjrHpbdgfvUuHN6DceM4VMtO6F2bUM3aotp2w5z8OJgeqFPmvpCRWmke85cVm3dwICWdBS+MY9PeQ0z48CtmPTmm0rQv3zGcDs0anrbYylqxfT8HjmWx4KGb2XQwmQlzljDrH9dWSDfphosIDQq0yxQfzee7Tbu4uEtrJt1wcWmal+atICyo5p4flcZ7MI0D2cdZcP35bErJYsLyLcy6+pwK6fo3rcf1HZsw5BPf++/UdbsZ0iKBazs0YXdGLnfO/4Xzb/RjR8KZUr4oK7EDKioOa8oTZeoilZSTd20sKSeXq4ukHEK/NxE8xahu56MGXIX+arr/4jUMWr/4PL9ecx2FSUfpufA/HFuwkPydu0qTBDdvRrN77+aXSy7Hk52NK8YegFOUksrPF12GLi7GUSeE3iuWkLZgIcUpKf6LtyTmoHsfI3/caHRaCqFTZuL+cRnWAW++MHdtJ2/0CCgqJOCyawgafT8FzzwEQMhjz1H00Tt41q2G4GCwtF/CVG26QmwC5ov/+IMy3O2Ys6dUKMPp5IOYM17BcfVon/Q6PxfzvRchJxPiG+G4/QnMZ0dXeN9TYhg0nvgsO6+9HvfRZNr852uyv1tM4a5dPskyv/6GQ49XHIiS8vY0jOAgYm7wX8doBYZBk4nPsWP49RQfPUr7b+eRuXARhTt9Y86YO48D5WJ2p6Ty29Ar0MXFGCEhdFy2iKzvFuH2c15esfswBzKyWfCPq0vqpauYNeqyCukmXdO/TL10SWm9tGW9SN7820DGf/OjX+MU4n/NX2P46J83ACjUWr8PoLU2sWcP3AqMBWac6EQoOf+F1ro6d7t6QC6QV3J9nta6km7yymnb60AycJHW+rjWemnJuWJgPVDjJXujdXuspEPo5CPg8eBZthDn2ef7pDE3roOiIvv/b9uCERNnn/B47E4EAFcAnKYRxkbLdlhHD6NTksDjwfxhMc5e5/mk0anJ6AN77NHw5QUEgNMJThc4Hegs/45MAViy6wjD2jdFKUXn+tHkFrpJyyvwSRPsctKrsV2BCHA4aBcXSUpuzTeanCzVsjN6y2r7RdI+CAz2rQifkLQP8nMqHi8u9L5XQCBo/xQsTzgT84Vq1QW96cRnvBeCQiC04mg2kvZCXnbF49npkHrE759tVZbsOMiwzol2vm5Yj9yiYtIqybOhgQEAeCyN2zSx+03/GnavXMXxjMzaDqOUs11HrMMHsZIOg8dD8eJvCThvgE8az/qfocj+fnm2brRHgQGOpom4N/wCpgmFBZi7dxLQ+1z/BNq0FfrYUUhPsUdwrV+B6uQ7o0N16o21xh5Frn/9AdW6s33CXWR3IoD97DiRf4NCUInt0T8ttF+bntIR/zVBdeiBXlfSkHNwlz2yOcx35DZhEfb38KBdUdLrlqM69LSvb98D/bM9Alr/vNR7vNt56M1r7E4EgLxK7oenKKhzZ4oPHMB96BC43eTM/4bQCyp2Rsfcdz/p06aiS57ZJ4ReMAj3ocMUl6u0+lOFe/LKxTh7+TZw69Rk9P6K92SjUTPMrRvAMqGoEGv/HhzdzvZLnKpdd/T6kk7vQ7shOKTyfBEYbJ8H9PoVqPbd7XNFZZ7lZTu+4hqg92y1/39aEioytvL7+ylasjeZYW0a2vfhhChyi9yk5Rf6pAl2OenVyB5ZF+AwaBcbTkqenaZB3RBax4RjnIb7skpsg05JQqcdBdODuXoJxlm+Da/6WAr60N4KeUInH7Y7EQCy0tHZWajyf6eajLVtN/SGH+wXh/fY+aL83y803M4XJSNb9YYfUG3Psq/vORC94hv7PgaVl5NOkyW/bmNYn652HklsTO7xQtKyai+eqiz5bS/DurW142ySQG5BEWk5FZ8BoSUdBB7Lwm1aKHzzrta6pHOhlX/j3ZfCsNYN7HjjI8kt9lT47gF0jo8ktk5Qpe+RV+wp/W+9EP92fJwx5YsyVKsu6M0l1fOkfRAUDHUqKyfvg/xKyskHdoCnGAB9ZC8qLLJimhoU3q0rBfv3U3DgINrtJuWrucRe5DvYp8ENIzj03gd4su143cfS7fjcbnSxHasREIg6TfVqR5sOWEcOoY/abQHuJQtwndPPJ425oUy++G0zRqxdXzWaNAeH0+5EACgoKE1X01T7HuhfltkvDu6yy2p/VIb7ZRmqfQ/7XOoRSKtkpkTSPrsTAezBMK4AeyBLDarTtQuF+/dTfPAQ2u0mc+48Ii4cdNLX5/7wI2aenzvtygnt2oWi/fspOmjn5fS584i8cPBJXeuTlwNPXxvRku0HGdaphbdeWngy9VKr9AmSGBtBs5iaL6eJ36eU/KvOvzPRmd6R0B57uaJSWusc4CDQovy5P2EjkALsU0q9r5S69E++z3qgTdkDSqkI4FKgxuf1G9H1sNK8/SXWsVRUTNWjYVxDhuH5eZU3ttg4Qt7+lNCP51P8+Qz/z0YAVFQs+pg3Zp2ehoqKPalrrR1bsDavJ+T9eYS8Pw/z17Xow5VMVa9hqXkFxIcFl76OCwsmpVxHQlk5hcUs25NE7yZxpccW7jzM5e9/x31zV3E0x/8dDCosAl12+m9uFlSzAK669cO48zlU/yuxFs2q4QjL/awzMF+osEjfzzgns2Kh+C8sNfc48XXrlL6OC6tTZefX7R8v5LzXPqNOoIvBbZucrhDPOCq2HmZKculrKy2ltMJWmcChV+JevRIAz+4duHqfC4FBqPAInN16YMTF+yfO8GjITPMeyDxmH6sqjWXZo8lPdEY2aYXj8ck4Hvs31mdv2eej4yAvB+OG+3A8/AbGiH/U6IwEwqPQWd5nlM5Oh3IxEx6Nzkr3pslKh/Ao+0VYhH0fhJL7of1dVbH1IaQOjrsm4LjvZdRZvp3xNcEVF4fnqHdpOE9yMq64OJ80ge3b40pIIH/ZMp/jKiSE6NF3cOxffpwRVgkVHYs+llr6Wh9LRUWf5D153y4c3Xrbf/+wcBwdu6F+53twSupG+f7NszOgblTFNNkZVaYxBg/H8chkjC7nYpXMTuDoQYySziYaJkJEjDcv1aDUvELf8kVocGknQWVyitws25dC70anf8q+ioxBZ5TJExlpqMjqx6GatwGnE53qn+UzAKgb+bt/cztNlM8zXOdkQF27nKSi41FNW+O4YzyOWx+HBs2810XG4vj7s/bxJv5t7AZIzcwmPspbtoiLCicls/KOhMff+4Irnn6Tt7/+Hn2aBymkZucRH+FdSikuIpSU7LxK097+zhzOe2a6Xabo1MLn3Lp9SUSHhtA01r+Nxqn5hcSHejsI4uoEkVJJR0JV7u7Rknk7j9B/xhLunP8zj5/X3h9hljpTyhc+MYdGoHPKDPbI/fPlZNX5XPTeml+ypqzAhHgKj3jvS4VJRwlM8P2cQhKbE9K8Od3nf0WPb+cRPaCf9/r69em1bBHnbviZ/f+a7P/ZCNj5QqeVzRepqNi4KtMHXHIFnrX2iG2jURN0Xi4hz0widPosgu6833+NxuXLZ9kZf1yGqyzN71CdeqMP7/N2ANcQV3w87iRvGa746FFcCRW/P5EXX0TbxQtoPu1tXPUTajSG6nLFx1NUJi8XHz1KQHzFfBF5ycV0+P47WkyfQkCZmAPqJ9Dh++/ovG4NR//9tt9nI0BJvTS8TL207u/VS7/jvFdnUifAxeB2Tf0emxD/y870jgS/KpnhMAS4GtgJvK6UGv8n3sqnn0kp5QQ+Bd7UWu+t/JLTwzngIhwt21L8xYelx3RaCsfvuo78kZfjGjQUFVHzleSapOIboBo25fhtl3P8tmE4Op6F0a5zbYflw2NZjPtmNTd0a0mjkgpV/8T6LL7jEr4aeSFnN4njsW/X1nKUJ0evX4Y15Qn00v9DnXPxH19QS86EfHGmm37DYJY/8DeKPRZr9iX/8QXiDwVcOBRnm/YUfvI+AJ61q3D/tJK6Uz8mdMIreLZsRJtmLUdZhQM7MZ8fg/ny/RiDr7FnAjkc0CgRa+V/MF+6F4qKMAZdU9uRVu1EI5vhQDVMxHx3Iub0Z+2YY05zBVAp4h57jNQXJlY4FXPPvWS8/z76eO3NcKsuc8NazF9WEfTyNIIefAZr+xbvLJa/IGvhLMwXx2Bt+AHjbHv0qbVsLgSF4LjnRYw+Q+x9F2r5d/BYFuMWrOOGzs1oVKayfUaJiMJ116O4p71Ua7PxTorhgOA6mNPGY373KY7hJfsb5WZhvnof5ltPYi74BMc1f4fAykern24v3zGcuc/ex8ePjGbdrv18vcrPyzuegumjrmD5E6Mo9pis2e27f9f8DTu4uEvrWors5M3flcTlbRqy9OYBTLmkBw9/vxHrL5Knz+jyRSVU+16ohCbo1QtrOxSU00lI82asG3Y1m0f/nbaTXsFZ1x5kUZSUxJp+g/ix5zkkDL+GgNi/1hrtrkGX4GjdjqLPPrAPOBw4O3al4O3XyLtzBEZCQ3tfxTNRXEOMi2/A+rJ2ljrNWrSYzb3OYdsFQ8hZsZKm/5xUK3FUR9aixWzs2YctAy8ke8VKmr/hjbk46ShbBl7IprP7EvO3q3HG/LXy8vQbLmT52GspNk3W7PPvHo5C/K87o/dIAH7DbuQvpZSqCzQGFgNnAXNP5Qdoe+jOWmCtUmoR8D4wvppv0xXfmQfTgF1a639WdYFS6g7gDoA32jVmZMOTG/EHYKWn4ioz6sCIqeczgvAER9eeBFx3KwXj7vAuZ1SGzjhmLz3QoSseP26IaP+sNFSMN2YVHYvOSPudK7ycvc/H2rkFCu3ZAOb6n3C07oD128Yaj3Pm+l3M3mSvbtUxIZLkXO8MhJTcAuJCgyu97unvfqFJZCg3dfeOUosI9o7KvbpTM15bvqnG4wV7BoHqYk9V1kf3o+pGoSlZNzkswh4J9Cfo337BuPB6/Fk9OlPyhTqrH6qrvbyHTtpX8hmXqBvpHfH8FzXz523MXr8TgI71Y0gus+xASm4+cWEhVV4b6HQyoHUjluw8SJ9E/27oeabSaak4yozyM2LjsNIq3pOd3XsTfPMd5Iy5xeeeXDhjGoUzpgFQZ/xLWIf8M7NGZ6fbS7WcEBljj/Avl4bIWMhKt0eoBYdUXN4j5TC6qADqN4HMY/byQAfs/GVt+BFj0NWcCnXOEHuzU+xNTVVETOn3TYVH28uDlZWdjorwjl5TEdFwYlTyiVkIJ/5bstyYzk6H47lQXATFRei9v6HqN7WXfqoh7pQUnAnezglnfLzP6C6jTh0CWrai8SczAXDExtJg6lSOjB5NcOfO1B0yhHoPPYxRty5YFlZxEVkf+XcTR52e5jPDUcXUQ6ef3D0ZwD17Bu7Z9obGgWMnoI9U3GDzz1K9B2P0tJf00If3oCKi0SVfFRUeVXEzzpwM+zi/kwZ7CS9j5COw+AsoKsD6YkrpOcfD/7I3G68BMzfuY/ZWO+COcRG+5Yu8AuJCK2+YfnrJRppE1OGmrok1Ekd16cxjqKgyeSIqFp1ZjZmswSEEjHsBz+fvovdsq/H4VM8LMLr3A0qWQQmPKnO/qCJflJmloOpGlS6RoXMy0L/9Yp84UrJUU0iYfa8oKBlln7TfzhPRCfbyGjVo5vc/MXvFzwB0bNaQ5Axv2SIlI5u4yIpLVcZF2ks61AkO5JJeXdi87xDDzvHv3lwzV21k9hp7lHjHRnEkZ3lnIKRk5REXXvVmz4EuJwPaJ7Lkt730aWXPdPSYFou37Gb2Pdf5J97N+5n9m91x0bFeBMllZv+k5BcSV8USRpX5ctthpg21l13pEh9JsWmSWVBMtJ+WODpTyhfqrH6oLvbSpDppP6pupLecHPYnyslN26LOuRjr41drfKR5eUVHkwlq4C3fBtVPoOio7+CZoqSjZK9fj/Z4KDx4iON79hLSvBk5G7x1juKUFPK37yCidy9S5833a8w6LRUVWzZf1EOnVRw97jirF4E3jCL/3ttK84VOS8HcvcNeFglw/7AUR7uOVGwp+HNUnyEYvQbaP+tQybP6xLnwqD8uw1WWpjLhUThueQjzs3/ZS3bWMHdyss8Mg4CEBNzl8oWZ6c3Xx2Z+RsMnKu7/cDq5k5MJLJOXAxISKE72/Ww8ZWJO++RTGlUSszslhYLtOwjr1ZPM+f+p8Thnrv3Nt16aXaZemnMy9dLGLNlxkD6JDWo8NiGE7UyfkfA9EKKUugmgZLPl14APgFeBm5VSvU4kVkpdqZSqel5fOUqp+kqpsqXtLsBJl7CU7R4gAVhQcuw5IBx7E+Yqaa2naa27a627V6cTAcDa8RtGg0aouPrgdOLsNxjP6hU+aYzE1gTd8xgFTz+AzvY2JKuYet5lJ0LDcLTvjFVmY1t/sXZtw0hoiKqXAE4njnMvwLP2h5O7Ni0FR/uu9kgxhwNHh65+i3lEt5bMuWUwc24ZzMAWDZi7dT9aazYmpRMW6CK2ko6EN1ZuJq/IzaMDuvocL7ufwtLdSTSPPul9wKtFr1+G9d5zWO89h965AdWhZM3z+s3sdaCrs8ZvZJnp0i06QmbNNKBU5UzJF3rdMqx3nsF65xn7Mz6xrnz95vZnXNleCH8hI3q0Zc7oYcwZPYyBrRszd+MeO18fTiUsMIDYcgW2/GJ36fqUHsti+a7DNIuW9Ser4tm2BaNhY4yEBuB0EnDBRbh/WOqTxtGqDXUefprch+5GZ5Zp2DIMVF37s3UktsLRohXutavwiwM77SV9ouPA4cTo1he9aY1PEr15TWkFUHU9F72zpAM0Os479T0yFhXfENJT7caBzGNQzy7MG607Q/KpNR7rHxdgThqHOWkcesta77JDjVtC4fGKDRK5Wfbxxi3tuM86H73FbozTW39B9ehvH+/RH7215PiWtdCsjf07uQJQjVuiUw+fUtzlFW7aRECTprgaNgSXi7qXDCXve2+nvZWXx+6ePdjT73z29Dufwg2/cmT0aAq3bObgddeWHs/84H3S337b750IUHJPrt8IFVdyTz7vAjxrVp7cxYYBYXZDp2qaiNE0EfPXmpuJp1cvxHzzEcw3H7H/rt1K9m5o1KLqfFFUYJ8HVLe+3kbiaG8DjGrfHX1iDeagEHuWDaB6DEDv2+a7n8IpGNG5GXNG9GPOiH4MbJ7A3O2H7fvw0Qy7fFFJY+YbP20jr8jDo3071EgMf4beu92eARgbDw4njt4DsNaf5D3K4cR137OYKxdi/bzij9P/mfjWLsZ86wnMt55Ab1tXOrCChol2vij/fM7Ltv+mDe2OGdXlXPS29fZ7bVuHatbWThdt/74cz7U7E04schsZa98P/VA+GjHwbOZMuIc5E+5hYNd2zF31q51H9hwkLCSI2AjfjgSPaZKZazfAuD0myzdup0UD/y9dM6JPZ+bcfz1z7r+ege0Tmbt+mx3ngaOEBQcSW9d35kx+UXHpvgke02L5tn00i/V25vy0+yDNYqOIj/BPOXlEx6bMGX4ec4afx8BmcczdccSONzmTsABnlXshVCYhLJjVR+xGzj0ZeRR5LKKCA/wSN5w55Qu9bhnWu89ivfusXU7uWLI/TmldpBrl5LhGGBfdgDV7sv3987OcXzcQ3KwZQY0boVwu4i4fRtoC31kQad8uIPKcPgC4oiIJSWxOwYGDBCYkYATZ+ccZHk54r57k797j95jNHVtxNGyMirfzhWvAENyrfDcGN1q0IfiBJzn+2L0+e8iZ27eiQsNQ4fYyYs5uPX02aT5VetUCzNcfxHz9QfTWtaiSjt6TLsN171daVqtSUAiO2x7Dmv8J7N9RY7GXlb9hI0HNmhHQyM4XkcMuJWvhIp80znreenPE4EEU7Nrtl1hOVt6GjQSWiTl62KVkfecbs6tMzJEXDqKwJGZXQjyqZC8bR3g4YT17ULjHP3l5RM92zLnzcubceTkD2zRh7qbd1a+Xyr4IQvjVGT0jQWutlVJXAG8ppZ7E7hj5D/CY1rpIKXUt8KpSqh5gASsoadAHblFKXV7m7Xprrcu3ErhKrq8PFAJpwJ0nEdorJfGEAKuB/lrrYqVUQ+BxYDuwvmRz0n9rrd+p/m//OyyTwsmvEDLxX2A4cC/8GuvAXgJuGo25cxvm6hUE3n4PBAcT/MSLAOjUFArGP4DRuBmBt98HaEBR/MXHWPv9X+DBMimePomgp18HhwPP4m/Qh/bhum4U1u7tmD//gNGiLYGPvIAKDcPZ/Vz0dbdRcM8NmD8txdHpLILf+AjQmOvXYP78o99D7ts8gRV7jzJk+n8Icjl5/qIepeeu+GAhc24ZTHLucaau3kbzqDCummE/qK/v1oKrOzXno/W7WLo7CaehCA8KYOJFPf0eM3u2oBM7Ytz5HLiLsebPKD1l3PoE1nvPAaD6X4lq1xNcARhjXkRv/AH9wzf2iKKmbe3NMguPY33zvn/jPQPzBbs325/x35+3P+NvPig9ZYx6CuudZwBQA65Cte9lf8b/eBm9YSV65TxIaIpx9d/tTWpbdoK+w7CmPe3/uEv0bdmQFbuPMOTf/0eQy8Hzl3k33rti6lzmjB5GQbGHMbO+p9hjYWlNz6bxDO/+11ly4LaZ79Gq37mExkTzwqFtzHt6Iqve838ja5VMk+OTJhL2+lRwOCj6Zg7mvj0EjxqDZ/tW3D8sI2TMWFRwCKHP2VOIrZSj5D38D3A6qfu2vfSczs8jf8Ij9saI/mBZWJ9PwTHmGVAG1upFkHwQ45Lr0Qd3oTevRa9aiLppLI6np0F+Hub7LwGgmrfDGHy1HZu2sGa9XdpJac6eguOWceBwoo8lY31c5WS8atPb1qPadsPx6GRwF2F+Nrn0nOOBVzEnjbNj+HI6jmvvBlcAevuv6O12w6C15P8wbhqL0XMgOjMN68PX7ItTj6C3b8AxdhJojbVmsb1hX00yTVImTKDR+x+AwyB79hcU79pFzL33Ubhls0+nwl+GZVI89TWCxv8TDMN7Tx5xO9bubZhrS+7Jj71o35N7nIseMYqCu68Hh5PgF+zR/Logn6JJE+xniR/oHb+i2nTB8eAbdr6YXWYWwT0vYr75CADmV+/huOYuO1/s2IDesQEA46LrUDH1QVvorGNYc0qKafUa2MvWoNEph/22XELfpvVYsT+FITO+t+/DF3gHIlwxcxlzRvQjObeAqT/vonlkKFd9ajcQXd+pGVd3aMLmlEzu+eZncorcLN2XzL/X7GDeDf39EiuWhWfGm7geehkMA3P5t+gj+3FeNRJr3w6s9atQzVsTcN+zEBKK0fVs9FUjKX5kJEbvfhitO6FC6+LoOwQA99QX0Qf9U+7UOzeiWnXBcf+r4C7G/L/ppeccf38O860nADDnzcBx5R3gcqF3bkLvskcV6/XLUVfcjuPuF+wN6b+0R3Krpq0xBl5Vcv/TWF9/UKObylemb6fWrNi0gyGPvEpQgIvnb/XO9Lri6TeZM+Eeij0mt096D49pYVoWZ7drwTXn9/idd/VDnG2asmL7foa8NIOgACfPX+PdjPSK1z9hzv3XU1DsZswHX1PsMbE09ExsyPDeHUvTfbthp983WS6Nt0ksKw6mMuST5QQ5DZ4f0Mkb76yVzBluj6p/ddV25u9KotBj0n/GEq5q25C7e7bioT5teHrZFj7caM9GmTigE8qfOymeKeWLsvZsRrfogHFXJeXk257EevdZAFT/q1DtS+oid79k10VWzsMYcDUEBGJcOdq+KDsD64vJlfygmqFNkx2PPkHXz2eiDIOkT2eRv2MnzR8eR86GcqcpQQAAIABJREFUjRz7bhHpS5YR1e98ev+wFEyTXeOfxZ2ZSdT559FywlMnqtUcnDyF/G3b/RZrKdOk4I0XqPPK22AYuL/9Cmv/HgJH/h1zx1Y8q5YTfNf9qOAQQia8AoCVkszxx+8Fy6Lw7UnUmTQNlMLc+RvF33zplzD1tvWoNt1wPPJv+1k9663Sc477X8F8/UH71/m/d3BcOwacAegdv6K320u0qQ49MS6/DULr4rjtUXTSfqzpz6HOuQhi4u0ZsCWzYM3pz0JeDW5Ib5ocfPwpWs78EOVwcOyzzyncuYuEBx/g+MZNZC9cTL3bbiFi8CC0x4OZlc3++8eVXt5qzmyCWiTiCKlDx19Wc2DsQ+Qs90+HetmYDzz2JG0+/QgcDtI+m0XBzp00ePAB8jduJmvhIuJGjSRi8CDwePBkZbH3vrEABLdsSeOnn7CXH1SKo1OmUbDdP500ZfVt2ZAVuw4x5F9f2O0tw84rPXfFlK+Yc+fldr30s8UlzxBNz6YJDO9ub0+6eNt+nv92NRnHC7lr5kLaxEcz/YYLq/pxQoiTpE73plui+nIv7H5G/ZEMP4688ZegoQNrO4TqqWTa8l9d4ZrNtR1CtQX18O8meTWuafPajqDaxtzwQm2HUG0Tz25c2yFUS91uTWs7hOoL9M8yEP60e+6G2g6hWhq189NGx34U2O7M29RdNWpU2yFUi/unX2o7hGpzNmtY2yFUixpyRW2HUH3HzsB9kPbvqu0IqiV71qI/TvQXEz60T22HUG1LX/fvskI1rUf7v9Y69CejTveWtR1CtW2c+QezHP5izDOwDe+s18bUdgjV5hjxsB97gv97bWrS9MzLoLWo04H9Z1w+O9OXNhJCCCGEEEIIIYQQQgghhB+d0Usb1SSl1Bqg/BDIG7XWZ94waiGEEEIIIYQQQgghhBCihkhHQgmtda8/TiWEEEIIIYQQQgghhBBC/G+RpY2EEEIIIYQQQgghhBBCCFEl6UgQQgghhBBCCCGEEEIIIUSVZGkjIYQQQgghhBBCCCGEEH+aUqq2QxB+JjMShBBCCCGEEEIIIYQQQghRJelIEEIIIYQQQgghhBBCCCFElaQjQQghhBBCCCGEEEIIIYQQVZKOBCGEEEIIIYQQQgghhBBCVEk2WxZCCCGEEEIIIYQQQgjxp8ley//9ZEaCEEIIIYQQQgghhBBCCCGqJB0JQgghhBBCCCGEEEIIIYSoknQkCCGEEEIIIYQQQgghhBCiStKRIIQQQgghhBBCCCGEEEKIKklHghBCCCGEEEIIIYQQQgghquSs7QCEEEIIIYQQQgghhBBCnLmUUrUdgvAzmZEghBBCCCGEEEIIIYQQQogqSUeCEEIIIYQQQgghhBBCCCGqJB0JQgghhBBCCCGEEEIIIYSoknQkCCGEEEIIIYQQQgghhBCiStKRIIQQQgghhBBCCCGEEEKIKjlrOwDxx4xAV22HUC2BnVrUdgjVpjdtrO0Qqs06XlTbIVSLIzSwtkOoPoejtiOoFr1ta22HUG0Tz25c2yFU22M/HaztEKrl333a1HYI1Va080hth1Bt2XnFtR1CtTQOOLPubwAEBNR2BNUXFVvbEVSLMyqstkOoPre7tiOonoO7azuCanMMHlHbIVRb3tQrazuEajl4KK+2Q6i2juHhtR1CtfXqllDbIVTLlBX7ajuEanvg8v61HUK1BQauq+0QqiUhvk5th1B9jRNrOwJxmihV2xEIf5MZCUKcgc60TgQhhBBCCCGEEEIIIcSZSzoShBBCCCGEEEIIIYQQQghRJelIEEIIIYQQQgghhBBCCCFElaQjQQghhBBCCCGEEEIIIYQQVZKOBCGEEEIIIYQQQgghhBBCVMlZ2wEIIYQQQgghhBBCCCGEOHMZStV2CMLPZEaCEEIIIYQQQgghhBBCCCGqJB0JQgghhBBCCCGEEEIIIYSoknQkCCGEEEIIIYQQQgghhBCiStKRIIQQQgghhBBCCCGEEEKIKklHghBCCCGEEEIIIYQQQgghquSs7QCEEEIIIYQQQgghhBBCnLmUqu0IhL/JjAQhhBBCCCGEEEIIIYQQQlRJOhKEEEIIIYQQQgghhBBCCFEl6UgQQgghhBBCCCGEEEIIIUSVpCNBCCGEEEIIIYQQQgghhBBVko4EIYQQQgghhBBCCCGEEEJUyVnbAQghhBBCCCGEEEIIIYQ4cymlajsE4WcyI0EIIYQQQgghhBBCCCGEEFWSjgQhhBBCCCGEEEIIIYQQQlRJOhKEEEIIIYQQQgghhBBCCFEl6UgQQgghhBBCCCGEEEIIIUSVZLPl/1KObr0JGHUfOBx4Fn6N+8uPfM4b7bsQMOo+jKaJFL3yFOaqpaXnXDf/HWf3PgAUz3of84fv/RancfENqJadwV2EOWc6HD1QMVFCUxxX3g7OAPSujVj/+di+9poxqJh4O01QCBQex3z7SVSnszHOudh7fVwjzClPQfLBU45Xte2GceUoMBxYPy1EL/7SN4HTiXHD/ahGLSA/B/ODVyAjFdW6C8ZlN4HDCaYH66sP0Ls22dc4nBhXj0a17ABaY33zEXrjT6cca2nM7bvjvO5OMByYK7/F+vbzcjG7cNz2IEaTlui8HDxTJ0J6Ckav/hgXXuN9n4bN8Dw7Bn1oL84HX0aFR6GLiwHwvP4o5GbXWMwnGJ164Lzxbjv2ZfMx533q+7u17oTrxjGoRom4//0M1s8r7OONE3GNvB+C64Bl4pn7CdaapZX9CL9QF/wNldgB3MVY82dAyqGKafoOQ3XoBUEhWJPu8x7vch6qWz/QFhQXYS34BNKP+iVO45IbUa262N+/L6fB0f0VE9VviuPK0eAKQO/cgDXfvpcYA65Ede8H+bkAWIs+R+/ciOrcB+PcS7zXxzXCfOuJGvn+neDqdQ4h9z0CDgdF876k8KN3fc4HXXsTgZdehTZNdFYG+ROfxEq2P8Pgv9+Pq09fAArfn0rx9wtqLK4/68Z3J9Nx6BByU9N4tmPv2g4HY9itqLZdobgYc9a/4ci+iokaNMdx7Rg7X2z7FWvuewD2/Xfw36BeA8w3H4XDe7zXJDTBcdUd9v1aW5hvPAIed43FfaY898oK79+PJs+ORzkcpH7yKUf//ZbP+Zjh19D4qccpPpoMQMp7H5A287PS847QUDqtWELGgu848NiTpyVmo0svAkbeC4aB5/tv8Hz1se/5tp0JGHkPqkkixa+Px1y9rPRc8Kzl6IN7AbCOpVD80iP+i9MP5YtS4dE47n4Ba9kc9I/f1njsWmsmfruaFbsOEexyMvHyvrSrH1Mh3R0fLSAtrwCPZXFW43ievORsHIbBgq37mLxsPXvTsph1+2V0aBBb4zH6pTxUwrj9cVR0POaL/6jxuI1Lb0a17mrni9lvQ9L+iokaNMNxzV12vtjxK9a8Gfa1g/6GancWaI3Oy8Ga/TbkZtqfR/N2GENvAocD8nMxpz1T47Gfar54ZeFalu04iMth0CiqLs8PO4+6wYE1Hufvxf/865NZ/tMagoICefGJh2jfulWFdN8sXMLUD2eCgnoxMbzy9KNERYSflhgdZ/UmcPRYMAzc383FPftDn/OuK0bguvAyu3yRnUXRP59Fp9r356Bn3sDRpgPmbxspHP/AaYkXIKzf+TQY/xTK4SD901mkvvV2penCLxpCs2lT2HHJpRRs2oxyuWj44kRCOnUES3Pk6QnkrV7t93i11kxcsYUV+1MIdjqYOKgr7epF+KQpcHu4/9tfOJR9HEMp+jeL44Fz2gHwy5F0XlixhZ3Hcnh1yFlc2LK+32N2dD+boDvHgcPA/e1XFH8+w+e868rrcQ0ZBqaJzs6kcNIz6NRkVL14gp96FQwFTifuuZ/jnv9lFT+lZjUdNICBr76Achhs+uBj1r76hs/5sEYNuHj6ZALDwzEcDpY/+Qz7vlsMQGyHdgz+9yQCwsLQlsVH516AWVTk13i11kz8cRsrDqTZ+WJAR9rFVvze/3PNTr7ecYTsIjfrbh9cejwpt4DHlmwip9iNZcH9vVtxfpN6fo05tG9fEp5+GgyDzFmzODZlSqXp6g4ZQuO332b3ZZdRuHkz4cOGEXPHHaXng9q0Yc/QoRRu2+bXeMtz9T6HOiX1qcKvK9anAq/4G0FXXQumhS44Tv6L4zH37z2tMWqtmfjpfFZs3kFwgIuJt15FuyYNqkw/5s2POJSWwdfP3gvAtoNJTPjoa4rcbpyGwZM3XEan5o1OV/hC/Nf6r+hIUErlaa1DKzl+E/AQoAEP8InW+lWlVG/gDSCw5N8srfX4Kt47DngXaAS4gP3Aw8CJForGQHbJv2PAKGAbsB0IAnKBt7TWH5S83/Ul16uSc3dprTee0gdQnmEQMHoshU/di05PJei19/CsXYk+tL80iU5LpuiNZ3Fdfr3PpY7ufXAktqbg3pvB5SJo4mTMdT9BwfEaDRFAtewE0XGYbzwIDRNxXHoL5rQJFdI5Lr0Zc+57cHgPxo1jUS07oXdtwpo92fsrX3gdusiOUW/6CXNTSUN8vYY4RtxbM42YysC4ZjTm5KcgKx3HuNcwt6yFZG8jseo9CI7nYT47GtXtPIzLbsb64BV0fg7m1OcgJwMSGuO4awLmUyPt2AdfA3lZmM/dBUpBSIWsfEoxO68fg3vSo5B5DOcT/8LasBqOej8P49wLIT8P92MjMXqcj+Pq2zCnTsRas7S08V01aIpzzNPoQ97Cg2f6S+gDu2ou1spiv/le3C8+iM5II+CZKVjrVqGTyjQGpafgnvoSzouH+15bXIR7ygvolCMQEU3gc1Mp2rwWjuf7L94TmndARdbDmvoU1G+GceEIrA9fqpBM796EXrcUY7RvY4P+7Wf0hpX2ixadMAZejfX5v2o8TNWqM0THY74+1v7+XXYL5tTxFdI5LhuJ+dU79vfvpgdLv38A1o8L0D/+xzf+jaswN66yX8Q1xHH9/TXaiYBhEDLuCXLvvR0rNZm6786ieOVSrDIFW8/ObRTeOhyKCgm8YjjBfx9L/lPjcPXpi7NVO3JuvhpcAdSd/D7FP608Pfnid/z0wScs+/c0bvlwaq3GAaDadIXYBLsBr3FLHFfdYXcIlOO46nbM2VPg4C6MUY+j2nRFb/8VnXwQc8YrOK4e7XuBYeC47h7MT9+0G3RDQsE0ay7wM+S5Vz7mpi88x/a/jaD46FHaL/iGrIWLKNjpe19Nnzuvyk6Chg+PI2f1Gv/GWZZhEDDqAYqeuR+dkUrQi+9g/vID+vD+0iT6WApFkyfiuuy6itcXF1H44Ei/h+mv8kXpsSHXVWj8rkkrdh3mQEYOC+65hk2H05gwfxWzbr+sQrpJ1wwgNCgArTX3fb6E77bu4+KOibSsF8mbwwcyft6P/gnQT+UhsDsjKSr0T9itu0BMAuar90GjFjguH2V3dJfjuPw2u3P90G6MkY+gWnWxO9JXzINF9mAM1WcIxsArsb56F4JCMIbdivneC5CdDnXq+iX+U80XfZrX5/6B3XE6DF5btJbpP2xk7KCefom10vh/Wsv+w4dZ+PmHbNy6jfGvvMHsdyb7pPF4TJ7/52Tmz3yPqIhwXp48lU+++Ip/jLrZ/wEaBoF/f4iCx+9GH0sl+J8z8KxeiT7k7Uy39uzg+L03Q1ERzouvIuDWf1D04uMAuL/8GHdgIK6Lr/R/rGVibvjcM+wZcQPuo8m0+uZrshctomjXbt9kdeoQe9tI8tf/WnosesS1AOwYNARndDTNP/yAnUMvA639GvKKA6kcyMpnwU0D2ZScyYSlm5g1vG+FdCO7tqBXoxiKTYtb56xixf4U+jaNIyEsmImDuvD++j2VvLsfGAZBYx7m+KNj0MdSCPnXh3hWr8A6WDZfbOf4P76AoiJcQ68icNQ9FE58DJ1xjOP3jwS3G4KCqTN1Fp6flqMzjvk1ZGUYDPrny3x+yVXkHknixh8Ws+ebBaRv31Ga5uyHx7Ljy7lsmP4+0W1ac9VXnzGtTVeUw8El701h/m13kbZ5K0FRkVjumhv0UZUVB9PsfDGiL5tSspiwYiuzrupTIV3/JrFc36ExQ2au8Dk+dd0ehiTGc22HJuzOyOXO/6zzb0eCYVD/mWfYd+ONeJKTaT53LrmLF1O0u+J3L3rkSI7/6v3uZc+dS/bcuQAEtm5Nk6lTT3snAoZBnbFPkFNSnwp/bxbulUt9OgqKv5tP0Rz7mec6tx8h9z5E7v13ntYwV2zeyYGUYyyY+ACb9h5iwkdfM+uJuypNu2jdVkKCAnyOvTb7O/5+WX/6dmzN8k07eO2L75jx0KjTEfr/NCXr3vzX+6/9EyulLgLuAwZrrTsCvbEb+wFmAHdorbsAHYDPK38XAJ4BFmmtO2ut2wGPaK03a627lFz/NfBgyesLSq7Zo7XuqrVuC1wL3KeUOlFL2gecXxLTs8C0mvutbUbLdlhHD6NTksDjwVy5GGcv3wKaTk1G799jj3oue22jZphbN4BlQlEh1v49OLqdXdMhAqDadENvKKnkHt5jj/oLLTfyIDQcAoNLR7XqDT+i2nSr+F4deqI3VRxFY3Tqjd5cQ40sTVqi045Ceoo9im79SlTHXr5xdOyFtXaJN9ZWne0Th/falWawG/FdAeC0+/FU7wuwFn1hn9O6dIR3TVDNWqNTk+BYsh3z2mUYXXz/nkaXs7FWLQLAWrcSo02XCu9j9OyP9fPyGovrZKjENuiUJPszNz2Yq5dgnHWOTxp9LMXu3CiXj3XyYbsTASArHZ2dhQrzHe3kt7hbdkJvKcmLSfvs/FtZo0LSPsjPqXi82NuAolwBfqvQqbZnoTf8YL84vAeC6kBouc8oNKLc9+8HVLvuJ/0zjE59Kv1engpnu45Yhw9iJR0Gj4fixd8ScN4AnzSe9T+XNkR5tm7EqBcHgKNpIu4Nv9gN2IUFmLt3EtD73BqN78/YvXIVxzMyazsMAFT7HuhfltkvDu6y78vlvzthEfbxg3aDt/5lGap9D/tc6hFIS6r4vq06o48e8I4KP55X4Xt7Ks6U515ZoV27ULhvP0UHD6LdbjK++prICwf/8YUlQjp1xBUbS/byFX+cuIYYLdra99dU+3P2/LgYRw/f75BOS0Yf2ANWzf19q8uf5QvVphtkHoO0I36Lf8mOAwzr3AKlFJ0b1SO3sJi03IodW6ElFWaPpXGbJkopABJjI2gW48dnnp/KQwQEYfQfhrXw94rlf55q1x29vuT7cmg3BFdxfwsMts8Dev0KVPuS515RgTddgHckv+pyDnrrWrsTASp/tteAU80X57RoiNNhV/06N6xHco6fO0vL+X7lj1w+ZDBKKbp0aEdOXh6px9J90uiS/xUUFKK1Ji//OPViok9LfEar9lhJh9HJJfe3FQtxnu37HDE3rYOSkdnW9s0YMd6GSnPjz/7vgC4npEsXivYfoPjgIbTbTebX8wgfXPE5kjBuLKlvTUGXGVUe2LIleT/aAz886emYOTmEdO7k95iX7E1mWJuGdj5OiCK3yE1avm/nYbDLSa9G9mybAIdBu9hwUvLsNA3qhtA6JhyjJF/7m9G6PVbSIXTyETtfLFuI8+zzfdKYG735wty2BSPGLnfi8didCGDf64zT0/SS0KMbmXv2kb3/AJbbzfbZc2gx9CLfRFoTUDcMgMDwMPJKZj42vaA/aVt+I23zVgAKMzLRp+F5vmR/KsNaN7DzRXwkuUWeCvkCoHN8JLF1giq+gYI8tweAvGIP9UL8O9squHNnig4cwH3I/u5lz5tH2KBBFdLVe+AB0qb4fvfKirj0UrK++cavsVbG2a4jZpn6VNHib3H19a1P6TIDrVRwsN87GSuzZMM2hvXpaueLxMbkHi8kLaviMza/sIgZC39k9ND+PseVgvwC+7PPKyikXkTYaYlbiP92/7UdCcCjwDitdRKA1rpIaz295Fw94GjJcVNr/dvvvE8CcPjEC611tYagaa33Ag8A95S8XqW1PtFitBpoWJ33OxkqOhZ9LNUbw7FUVPTJTWu39u3C0a23XUEKC8fRsRsq1k+9+XWj0NkZ3jhzMqBuVMU0OZm/n6ZJa8jLgYyUCj9CdeiFtblmlglSEdGQVWYESdYxVLhv5UaFl0ljWVCYD3V8H1iqSx/04T124TK4DgDGJdfjePB1jJEPV6zUnorIaHRmmvd15jFUZLlp8JEx3jSWBQX5EOrb8G306FthaSDHyLE4n3oLY+iImou3DBUZg84ok48z0irGfjLv07wNOJ12w9dpoMIi0LllGoVzs6r9N1XdzscY/Syq/5VYi/3ToEJYJDrbW4G3v1uRvmnqRtrHT6TJzoAwbxqj9yAcd0/EuOJ2u6GuHNWxF9ammlumC0DF1sNMSS59baWlYPzOPSpw6JW4V9szPDy7d+DqfS4EBqHCI3B264ERF1+j8Z3xwqPRWWXyRXYGlLvPnVSa8mLrAxrj9idw3Pcyqt+wGgz6DHrulRGQEE9xkve+VHz0KK6Eivkx6pKL6LhkIS3fmUJA/QT7oFI0Gf8kByc86/c4y1JR5T7n9DRUVDWWzQkIIPCldwicOBVHj/P8EGEJf5UvAgIxzhuKtWyOvyIHIDXnOPF165S+jqsbQkpO5TOnbv9oAee98gl1AlwMbtfUr3Gd4JfyEHZZyFr6FRT7aQmNulEV712V5YvsjCrTGIOH43hkMkaXc7FOzE6ISYDgOjjueArH3RNR3fyTt2syX/zfrzs5r0WNV0F+V0raMeLjvPeL+NhYUtJ8R2a7nE7Gj7uXS28cxXmX/Y09+w5w9aUXlX8rv7CfI966xB89R5wXXobnl5ot41SXKz4Od5nniPvoUVzxcT5pgju0x1U/gZwlvuX4wt+2ET7oAnA4CGjUkJCOHXElJPg95tS8QuLDgktfx4UGl3YSVCanyM2yfSn0blT9OkBNMKLrYaV584V1LBUVU3UZwTVkGJ6fV5W+VrFxhLz9KaEfz6f48xl+n40AEFo/gdzD3s7u3CNJhDbw/dv++PzLtLv2Gu7cvZmr5szi+wfspQajWiaitebqr2dz06ol9Hyg5peYq0xqfiHxod4OgrjQIFLyT/5ZcHf3FszbmUT/D5dw5/xfePy8dv4Is5QrPh73Ue/Ss57kZFzxvmW4oPbtcSUkkLe06uV1w4cOJfvrr/0WZ1WM2HpYqWXqU6kpOCop+wZedS0Rs78lZMxY8ie9cDpDBCA1M4f4KO9AkLjIuqRU0pHwr68Wc8uF5xAc4PI5/si1l/DK7AUMGPcyr3z+LfddefIDdoQQVftv7kjoAKyr4tzrwA6l1Byl1GilVCXd2qUmA+8qpZYqpR5XSv2ZhRjXA20qOX4bUPOL654Cc8NazF9WEfTyNIIefAZr+5ZaHVV4MoyOvSvvLGjYHNzF9gjZv4r4Rvb0/lkl62AbBioyFr1vO+Yr96P3b8e43P/LPlSHatYaXVzks6SQZ/pLeMbfieelsRgtO2CcfcHvvEMtiojCddejuKe9VCujKP4svX451tQn0cvmoPqcngp0dVlrFmNOegBz8uOQm4Vxke9yMTRMhOJiSD1c+RucBgEXDsXZpj2Fn7wPgGftKtw/raTu1I8JnfAKni0b0TW5vI6omuFANWuD9ckbmJOfwOjQE9WiY21HBfy1n3tZCxexoUcfNg8YTPbylTR/83UA4kbeRNb3S0r3TjhTFN51NUUPj6L4nxNwjbwHFef/ta1PRfnyhdH/CqxVC/zX0P0nTL9xCMvHXkexabFmn3/20/GL8uWhBs0gJr7GZ7HVNGvhLMwXx2Bt+AHj7Avtg4YD1aA55vsvYb73AsaAKyHG/w2yv+f38sWUFRtwGAaXdkqspeiq5vZ4+HTOPL76YCorv/6c1i2aM/XDT//4wtPM2X8IjpZtcX/x0R8nrk1K0eCpJ0l69vkKp9JnfU5xcjKt58+jwfinyV+37i/z7DvBY1mMW7COGzo3o1F4nT++oJY5B1yEo2Vbir/w7q2h01I4ftd15I+8HNegoaiIqN95h9On7d+uZMvHnzKlRUe+vGI4F7/7NiiF4XTSoE8v5o8czcyBl9Dyskto3K/i0lN/NfN3H+Xy1g1ZetMAplzSnYe/34hVm3U/pUh44gmSn6/43TshuEsXrIICinbuPI2BVU/Rl5+Rdc1FHH9rEsEjR//xBbVg28EkDqVmcEG39hXOfbZsLY8Mv5glrz7Ew9dewpMf+HcgiBD/K/4r9kioLq31M0qpT4DBwAjgOqBfFWm/U0o1B4YAFwG/KqU6aK3TKktfhQpzL5VS/bE7EipdV0MpdQdwB8CbnZpxa5O4ypJVSqen+YyUUDH10OknH6579gzcs+1NpALHTkAfqbn1zVXPgRhn9bPjPLLP3rD3xLm6Ud7p7ifkZKDKjJKukMYwUO26Y015qsLPMjr0xtpccxVSnZWOiigzGiYixmdEN2C/joiBrHR7+mpQHe9SRRHROEY9hvnRP+2lhgDyc9FFhaWbK+tff8ToXXFa5J+WmY6KLDOaKjIGnVluJEzmMbszI/OYHXNwHXsEZgmjZz+stct8rzkxoq+oAGvNUlSz1vDT4pqLG9CZx1BRZfJxVGzF2H9PcAgB417A8/m76D3+XXdSdTsf1dn+KuujB1BhkaX5mrAIe1bCn6B/+wVj8Ag0M/448cnE2esCjO72lE99ZC8qPLrc96/c8jo5mfbxE2nCo0o3liy7dIP1y1IcN471ubTKDr5TpNNScZSZRWDExmGlpVZI5+zem+Cb7yBnzC3eaeVA4YxpFM6wV5SrM/4lrEOVbMD6P0b1GYLRayAA+tAeVESZfBEe5V2u44TsdHtE8u+lKS87Hb13Gxwv2Zx7+6/QsBns3lwjv8Nf+blXleKjyQTU9zakByQk4C7XMeDJ9N47Uj/5lEZPPgZA6FlnEdarJ3G33IQRUgcjwIWVn8+h51/0a8w6o9znHB2Lzjj5z/nESEyG53OxAAAgAElEQVSdmoS19VeMZq0wU2pmttjpKF+ohomodj1g8HAICkFpjeV2o9ee+vNv5trfmL3OXr+6Y4MYksuMNE/JOU5c3aob0QJdTga0bsyS7Qfok1j1JoQ1xR/lIdWsDapxCxxPT7c3LA4Nx/GP5zH/9fgpxap6D8boaS/XoA+X3N9KbvsqvIp8EV7uuVc+DaB//QFj5COw+Av7dz2eC+4icBeh921HJTRGHzv1jp2azhdzft3J8p0Hee+mi0uXPPKnT778is+/tvdS6timNckp3vtFcloacbG+o8y37bSXlGrc0L43XjSgH9M+Pj0dCfZzxFvfquo54ujSg4DhIyl4+E7w+H/t+N/jTk7BVeY54kpIwJ3sHT1vhIYS1LoVLT7/DABnbCzN33uHvbeOomDTZpLKzGprOedLCvf6ZyPVmRv3MXur/cXrGBdBcq53mbCUvALiQisf0/f0ko00iajDTV1rr9PLSk/FFevNF0ZMPZ+ZeSc4uvYk4LpbKRh3h0+58wSdccxeOrFDVzw/fO/XmPOSjhLW0PssCGtQn7wjvvejjjffwBfDrgEgac0vOIMCCYmJJvdIEod/+ImCdPu+t3fBIuK6duLgsppfRnHmlgPM/s3eW6djvXCSy8xMSckrJK7OyS9P9OW2w0wbai9D1yU+kmKPRWZBMdF+WuLInZzsM4PHGR+PO9lbhjNCQwls1Ypmn3m/e02mT+fA7bdTuNku+4YPHUr2vHl+ie+PWGmpGPXK1KfqxWFWUp86oXjRt9R58ElOx65yM5esZvaKnwHo2LQhyRnZpedSMnOIi/BdOWHjnkNs2X+ECx56BdOySM/J5+aX32HGQ6OYu2o9j113CQBDunfgKelIEKJG/DfPSNgKnFXVSa31Hq3128BAoLNSqsp1GbTWGVrrmVrrG4Gfgep2y3fF3oAZAKVUJ+AdYJjWutLWF631NK11d6119+p0IgBYu7Zh1G+EiksApxPHeRfgWbPy5C42DAizb86qaSJG00TMX9dW6+f/nv9n777Doyj3No5/n9lUCL333kGqgAiIqIh6FBErWI+CBbuiWLAheMSOomKheERUjiJWBEQp0nsn9E7oJSGkzDzvHxNSCBEiWZb43p/r4jonOzObO+vstN9T7JzfcD/oh/tBP+yq+ZgmaWPeV6wBR49A/MGsG8Qf9MekrehfQJom52NXLUhfbKo3gD07sj8ANcYf1zgPCwlsXoMpVR6Kl4FAGE6zdtnmX7DL5qTfsJom52dMxhhdkMDdz+F9/xlsWJltm2Mtc03tc7CZJis8XXbjakyZClAyLXPLDtjFWT8Tb/EsnDZ+8cJp3g5vVaa5v43BadE+ayHBcTKGPgoEcM5phd22Mc8yp2dfvwpTtgKmVFkIhBFo3RFvwYyTbwgQCCP84f640ybgzQ3++OF2wRS84QPwhg/ArlmEadjaX1C+mj9Wf27GSy6WqVtpzYawP+eLulznnD0Jd8gzuEOewa6Yj2mSVsesWAOSjkD8cQWP+APHff/aYlemdfTKNJ+Cqd8CG5ep54ExmEatsHk8rBFA6splOBUr45SrAGFhRFx8GSnTjxt2q3ZdCj75PIefuB+7/7gHg4X97rGBGrUJ1KxNypxT3Kf+weyM8bhv9cF9qw92+RxMiw7+gsq1/OPy8YWwwwf81yvXAsC06IBdPvevf8fqRZiyldPHCDbV60Nc3vVWOZvPezmJX7SYqOpViaxcCRMeTvGrr2L/hIlZ1gkvnXE8KHZpJ46mTaC5rveDLGrRmkXntmHzSy+ze8w3QS8iAHhrV2HKVcKU9j/nsPMvxp17ihP6FiwEYWldzgsVwanbCC/TJM2n60xcX7ifDsB96zHctx7DzpqAN+2HPCkiAHRvWZ+x93Zl7L1duahuFcYtXou1lsVbdlEoMpxShbIOH5eQlJI+Pn6q6zFlzZbgzouQWRCuh+z0X3D73YH7Yk/ct/vCru2nXUQAsLMm4A7uizu4L3b5PEyztEv4SjVzPr4lJfrLAdOsPXbFPH9ZiYyHLqZBC2zafDB2xTyoWtc/loRHYCrVxOZRb9i83C+mrdnKp38uZchNlxAdcWbakvXodjXjRn7EuJEfcXH78/lu/ASstSxatoJCBQtmm/+gTKmSrNu4iX1pRdQ/586nRpXKZySrF7si7TxS3j++te+EOyvrecSpXpvIB54i8aXHsQdDP7fRkcWLiaxalYhKFTHh4RS76koOTcw4j3iHD7OscTNWtGnLijZtObJwYXoRwURF4UT7QwzFtGuLdVOzTdKcV7o3rsbY7h0Y270DF1Uvx7hVW/39eMc+fz8+wZj378xcSXxSKk+1bxiUTKfKW70Cp0Km/aJDJ1JnZb23cGrUIerBp0l8/tEs+4UpWTpjPpWYQgQaNM7T815OdsxbSLGa1SlSpTJOeDh1r+vK2p+yDoJwaMtWKnfw53ooXqc2YVFRHNm9hw0TJ1OqQT3CoqMxgQCV2p3P3pWrT/RrTlv3hlUYe31bxl7flouqlWHc6m3+frFzP4Uiw048F0IOysVEMWur/1hl3f54klyP4tERJ9nq70tcsoTIqlUJr+h/94pceSWHJ2VcD3iHD7OqeXNi27Ujtl07EhcuzFJEwBiKXHEFB0JUSEhduYxApYz7qciLLyNlWtb7KadixrE3/Pz2eFuC38gGoHvH1ox94QHGvvAAFzWtx7gZC/39Yt1mChWIpNRxhYQbL2zFlDf7MmlQHz7v24uqZUqkT6hcumhh5q72J0aftXI9VcqcmTl3RP7p/sk9El4BXjPGXGGt3WmMiQButdZ+Yoy5AvjZWmuBWoALnLDJsDGmIzDLWnvEGFMIqAGc8lHUGFMVeB14N+3nysC3wC3W2uD0Y/Nckoe+QdQLb4PjkDrpR+yWDYR374m3diXunOk4NesR+fR/MDGFCDu3Lbb7XSTe3wMCYUS/8iEANjGBpDdf9CegDAIbuxhTqzGBh1+DlGTcsZ+kLwvc2x/3g34AuD9+RqBrTwgPx65ZknEzCphGrU84BrupUgcO7oP9uek4chKeh/e/oQTuewEcB2/WJNi5Befy7tjNa7HL5mBnTsTc8iiBfkPhyGHcEa/5edpdASXL4XS+ATrf4P9d7z8P8Qfxvh9J4JZH4Zq7sPEH8b54J08zp34xhPCHB4Lj4P45Abt9E4Eut+JtjMUunoU3bTxhdz1B+MDh2ITDpA4dmL65qd3Ib226J1Mr2bBwwh4Z6LcYNAHsygV4U4MwQpfnkTpyMOFPDPKzT/kFu20jYd3uwNuwGm/BDEz1OkQ83B8KxOA0PQ/b7Q6S+96B07oDTp1zMDGFCbTvDEDK0P9gN6/L+5zHW7cMW70hzt39ISUZ7+eM3gTOHc/gDfe7uJoO1/gtW8MjcO57BbvkT+z0HzHNO2Cq1PW/d0eP4P00IigxbewiTO3GBB59A5KTcb/NmPc90HuAP2QR4H4/gkC3XhAegY1djI31C01O5xsxZasAFrt/D964Yenbm6p18/77d4zrcuTNgRR6aygEAiT9OBZ3wzqi7+pN6qrlpEz/gwK9H8NEFyDm5TcB8OJ2EP/kAxAWRuEP/O7mNiGehBf7+hMvh9idXwyjdoe2xJQswStbVvLD8wOZMSw0wyXYlQswdZsR6PsepCThHht2BAg88hruW30AcL/9hMCNvSEsArt6IXbVQsCfmNa5+k6IKUzgzqew2zfiffwyJCbgTf2BwEOvAha7cgF25YITRfh78sl5LwvXZePT/agz+nNMIMDu0V+RuDqWCk88RsKiJRyYMJGyd91B0Usvwaa6uAcOsO6hR4Of6694LsmfvEnks2/6n/Pkn7BbNxB+w51461bhzvsTp0ZdIp4YiClYiECL87E33MnRR27BqViFiF59/GHmjCFl7OfYID1QCeb1xZnQvlYlpq7ZSufBY4gKD2NAl4wx97t+MJax93YlMSWV3qMnkpzq4llLy2rluaGFP4rmpJUbGfDzTPYdOcq9X0ygbtkSfHxL57wLGKTroWCzqxdi6jYh0Ocd//g25sP0ZYEH/4M72B8j3P1uGIHr7vXPe6sXYVcvAsC57CZMyfJgPeyBPXjH9qvd27Gxiwg8NAisxZs7OU8Lpcec7n7x8s8zSHE97vxsPOBPuPzClefnec6cXNCmFVNmzuaS624hOiqKgc/0SV/W5bZejBv5EWVKlaT3v2+lx32PEBYWoELZMrzy7BNnJqDnkvTBa0S/PBgch5QJP+BtXk/Ezb1w16zEnT2NiDsfhKhoop7yxwq3u3dy9KXHAYge9BFOpSoQFU2Bz34g6e0BuAuCPFSX67K133NU//wzTCDAvq++5mjsGso+9ghHlizl0MScC53hJUtS/fOR4FlSdu5k0xk6v7SvWpqpG+PoPPI3osIDDLi4afqyrl/8wdjuHdh5OJGhc9dQvVgM3UZPAaDHOdW4tmEVlsbt58Ef53IoKYXfN+zkvdmr+eHmC3P4bXnAczk65DUKDHwXnAApE77H27SeiFvvxo1diTtrKpE9H4ToaKKf9Qv6dlcciS88ilO5GpE9HwYsYEj+3+d4G4N/L2Jdl0mPPMm1P4zBCQRYOvIL9q5czfn9+rJzwSLW/TSeP/o+x6Xvv0WLB+4Ba/mlZ28Akg4cZN7gD7hl+iSstWz4dSLrx088yW88fe0rl2Lqpt10/mIKUWEBBlyYMfF316+nM/Z6v/HT6zNX8dOa7RxNdbnws8l0q1eJ+8+txRNt6vL8lGV8tmQjAAM7NgpuryvXZfvzz1P1s88wjsP+MWNIWrOG0o88QuLSpVmKCidSsGVLUnbsIGVL3jUgzBXXJeGNgRR+eyg4me6nevYmdaV/PxV1bXfCz20NqanYw4eI7//0GY/Z/pw6TF0aS+en3iQqIpwB/74mfVnXF95l7At/PYfHi7ddzSujf8J1PSLCw3jx1quDHVngjPR4lNAyNh+NG54TY4wHZO4b/6a19k1jzB3AY/hDC1lgWNrrXwLNgCNAKvCMtfbXHN67D3BH2noOMNxa+0am5SOAH621/0v7uSp+74NVQBRwGHjfWjsibfknQDfg2HgaqdbaFn/19yVcdV6++o8U2aRWqCPk3oG/N/RMqHhHzp7xmU+VdzQ51BFyLbxhnVBHyBUbHx/qCLl2aPKiUEfItadnnpkWOXnlvcfy38RiSbFn0dw2p2jZnNDNB/J3NGpbJdQRci2ifvVQR8g1Uy+0rWlzy86cHuoIuVegwMnXOYuYxs1CHSHXAp26hzpCrsXfcs3JVzqLrF2adz1Qz5RGfa8LdYRcO/J9zhPfno0+nLoh1BFy7dFXbgl1hFxb+c64UEfIlXJlz/45Q45X9LUXQh0h1wJtr9UT8b9hbb1a+er5ZajVXLkm3+1n/4geCdbaEw7RZK0dDgw/wes35uK9XwNe+4vltx/380Yg+i/Wvwu461R/v4iIiIiIiIiIiIhIKP2T50gQEREREREREREREZHT9I/okZAX0oZBeui4l/+01vYORR4RERERERERERERkbOBCglpchoGSURERERERERERETk/zMVEkRERERERERERETkbzP5bupgyS3NkSAiIiIiIiIiIiIiIjlSIUFERERERERERERERHKkQoKIiIiIiIiIiIiIiORIhQQREREREREREREREcmRCgkiIiIiIiIiIiIiIpKjsFAHEBEREREREREREZH8yxgT6ggSZOqRICIiIiIiIiIiIiIiOVIhQUREREREREREREREcqRCgoiIiIiIiIiIiIiI5EiFBBERERERERERERERyZEKCSIiIiIiIiIiIiIikqOwUAcQERERERERERERkfzLmFAnkGBTjwQREREREREREREREcmRCgkiIiIiIiIiIiIiIpIjFRJERERERERERERERCRHKiSIiIiIiIiIiIiIiEiOVEgQEREREREREREREZEchYU6gIiIiIiIiIiIiIjkX44xoY4gQWastaHOICfh9r9T/5GCLHHWslBHyLWoBlVCHSF3UlJCnSDXTJX89RnbdetCHSH38uM5KCoq1Aly5f43JoQ6Qq59sGlmqCPkmvvRK6GOkCuTPpwc6gi5tjDhaKgj5No9zSqEOkKuzI3dG+oIudYpdkGoI+SKO3xgqCPkmt2yJdQRcs1ccFGoI+TO9vz3GQ9+/JNQR8i1B5+7LtQR/vESJswOdYRcK3hRi1BHyJ18+KB23uBfQh0h11rt3JL/PuizwKZGdfLhDX7oVFm6Ot/tZxraSCQfyndFBBEREREREREREcm3VEgQEREREREREREREZEcqZAgIiIiIiIiIiIiIiI5UiFBRERERERERERERERyFBbqACIiIiIiIiIiIiKSf+XDucAll9QjQUREREREREREREREcqRCgoiIiIiIiIiIiIiI5EiFBBERERERERERERERyZEKCSIiIiIiIiIiIiIikiMVEkREREREREREREREJEdhoQ4gIiIiIiIiIiIiIvmXMSbUESTI1CNBRERERERERERERERypEKCiIiIiIiIiIiIiIjkSIUEERERERERERERERHJkQoJIiIiIiIiIiIiIiKSIxUSREREREREREREREQkR2GhDiAiIiIiIiIiIiIi+ZcxoU4gwaYeCSIiIiIiIiIiIiIikiMVEkREREREREREREREJEcqJIiIiIiIiIiIiIiISI5USBARERERERERERERkRypkCAiIiIiIiIiIiIiIjkKC3WAvGCMqQgMAerjF0d+BPoAbYBxwIa0VfdYay82xrwAxFtrXz+F934G6A64gAfcDfQFqgExQKlM738fMBAoByQBEcAk4Flr7QFjTCXgM6AMYIGPrLXvnNYff4rMpTdhajaClGS874fBzs3Z17mwK6ZRG4gugPdq7zMR6y/lp8yB5q2J7PUoOA4pE74nZcxnWZaHX30T4Zd2wbqp2IMHSHr7ZezunSHJ6lx1B6ZuU0hJwv36fdi2IftKFaoRuL43hEdgVy3E+364v+0VN2PqNQc3Fbs3Du/r9+HokdPOZOo2xel6JxgHb/Yk7G/fZl0hEIbT4yFMxRpw5DDuyNdh/25/24uuwWl1MVgP79tPsKsXQanyBG57PGP7EmXwfhmNnfojzmU3YRq2BGux8QfxvhgMh/af9t9wjLWWgX+uZOqm3USHBRjYsRH1SxXJtt7bs2P5fvU2DialML9np/TXtx9O5OnJSziUnILnwSOta3NBldJ5lu8YU68ZTree4Dh4MydiJ/4v6wphYTi3PIqpVAMSDuMOHwT7dmHqNMG56jYIC4PUVLxxw7GxS/z3bN4ep9N1/md7cB/eZ29CwqG8y3ttLz/vjAk5561c08877FXYtwuq1CZw0/3H3gXv5y+wS2b6P0YXxOn+IKZcZQDcUe/AhlV5kvcYp8u/MfWaQnIy7lfv5fB9q07gxrTv28qFeOOG+WnPOQ+n0/VQugLu4Kdg67qMbcpVIdCtF0QVAOvhvtMXUlPyNPtfueXTITT6V2cO79pN/0atz9jv/SvWWga8/ylT5ywgKjKSV/rcT4NaNbKtl5ySQv/3PmHO4mU4jsPDd3Tn0nbnsS1uF8+8PoR9Bw9RpFAMr/V9iLKlSgYlq3PFLZjaTfzj8DcfwY6N2VcqX5XANXf7+0XsIryf/utv2/EaTIsOkHAYAG/i19jYxZjGbXDaXpGxfZlKuO8/e8Jz5+ko2bED9Qb2B8dh6+ej2TD4vWzrlO1yJTWfeAxrLYeXr2DJ3Rnn50BMDO1m/EHcz7+ysu8zeZrtRKpfchEXvz4QJxBg0Yj/Muv1rJddhStV4F8fv09kkSI4gQB/9HuRdb9OwgkL4/IP3qFMk8Y4YWEsG/UlM19/O+h5AcJanU+Bh58EJ0DSD9+S9PmnWZZH3nArkVdeg3Vd7IF9HBn4HF7cDgCi732E8DbtAEgcMZSU3349I5lLdOxA3QH9MQF/v9h4gv2iTJcrqdHnMUjbL5be05uoihVoMnIYOA5OWBibPxnG1pH/DXpeay0D3hzMlJmziYqM5D/9nqJB3drZ1vtxwiSGjvwcMJQuVZLXXniG4kWLpi8fNuorXn33fWaOH5fl9WAxF3bDVKvvXxv/Ogp2bc2+zvlXYOq3hMgCeO/1ybqsdlPMeZf55+k927A/f5Zt+1xnyutrOMBccCVO64vBgt2xCW/0u5CagnNDb/+6xBjs7u14X7wLyUdP+284xlrLwO+nMnX1JqLDwxh4/cXUr5D9GqzXp+PYfTiBVNfSvFp5+l19AQHHb5/3+Z+LGT1zCY5xuKBeVR6//Pw8y5dj5ilLmboxzr/u7NSM+qWz7ouJKak88vNcthxMwDGGC6uV5dG2DQAYsWAt/1u+iTBjKBYdwcuXNKNC4QJBy1vlko50eO0VnIDDshGfM/eNrMfkQhUrcOnHQ4gsWgTjBJj+3Ets/HUShStX4raFM9m3Zi0AO+fM47cHHz/RrwgKc/H1mBoN/e/eTyMhbkv2ddp3wTRsBVEF8N58OPub1GlKoOvduCMG5vm5Oa8zmybtMM06gPUgOQlv/CjYuyNoWQPntiHq/j4YxyH55+9IHj08y/KIa28m/PKu/j3owf0kvvYiNi5TngIFiRn+Dal//s7Rwa8GLefxTKcbMTXSnlf8OPzEzys6XI1pdJ7/Gb/2QMaCSrVwOt0ApSvijf0IVi04M5kvucHPnJqM98MIiDtB5guuxjRq7Wd+/cGM11tejGnSFjwPjhzG+3EkHNoXtKxFLuxAlf4vYAIBdo0azY733s+yvOQN11H5uWdI3uE/V4kbNoLdX3yZvjwQE8M5Uyezb/yvbHq6X9BySlbGhDqBBFu+LyQYYwzwLfCBtbaLMSYAfAQMAH4Cpllr//U33/s84F9AM2ttkjGmJBBhre2atrwD8Hjm9/fj0MNaO88YEwG8gl/MuABIBR6z1i4wxhQC5htjJlprV/ytP/5U1WyEKV4Gb8jTUKE6zuW34A0bkG01G7sYO3cyTu+BQY1zSvJTZsch8t4+JD77AHbPLqLfGkHqrGnYLRkPDL31sRx5+DZISiLs8muI+Pf9JL367BmPauo2hZJlcQc9CJVrEeh6F+572R/kBLr2xP1mKGxeg/PvpzB1mmBXL8LGLsH75QvwPJzLeuBc2BXvl1GnGcrB6dYL98MX4MBeAo8Mwl02B+Iybo5N64shMQF34H2Ypm1xrrwV77M3oExFnKZtcV99EIoUJ3Dvi7gDe8Pu7bivP5r+/oEXPsEunQ2AN/k7+GW0v6jdFTiX3oA35sPT+xsymbp5N5sOJDC+e3uWxB3gxanL+apbm2zrXVilFD0aVqbzF1OzvD50/jo61yjLjQ2rsHbfYe75eX7eFxKMg3PdPbhD+vmfeZ83cZfOhp0ZNxjmvE5wJB73pbsxzdrhdLkdb/ggbMIh3KH9/YvGcpUJ3PcSbr/b/YdA3XriDugNCYdwutyO0/4KvLTP+rTzXn8v7nvPpuV968R5ExNwX+zlFzTS8rJ9E+6gh/0L3sLFCDz1Lu6y2f4+fG0v7Ir5eJ++AoEwiIg8/ayZY9dtCqXK4f7nAf/71q2XXxA4TqBbT9wxH/rft7uewdRtil21ELtzM+7I1whce3fWDRyHwE0P4o4eDDs2QYEYcN08zX4yM0eM4o/3PuL2z4ae0d/7V6bOWcCmbTv4dcQQFq+M5cXBH/H1u9lvJj/84htKFC3CryOG4HkeBw/HAzBo6Ei6XNKBrp0uZNbCpbz56SgG9X0oz3Oa2o2hRFnctx6DijUIXHU77tAXsq0XuOoO3O8+ga3rcG7tg6l1DnaNX7Tz/hyP/fPnLOvbxTNwF8/wfyhTkUCPR/L+QYXjUP/Vgcy99kaObt/BeRN/Ztf4X0mIXZO+SoHq1aj+0APMurwLqQcPElGyRJa3qPXUE+ybOTtvc+XAOA6d3h7El1dcw6Ft27l9+m+s+XE8e1etTl+nzZOPs/Kb71j48XBK1K3D9d99xQd1m1C3WxcCkZF8em5bwqKj6blwJiu+/oaDm7M/iMlTjkOBx54h/uFeeLt2UuiTL0mZ/jvexvXpq7hrVnLozhsh6SgRV19PdO9HSXiuD2HntSNQpx6Hbr8OwiMo9N4wUmZOhyMJQc9c7z8DmX+dv1+0nvAzu0+wX1R76AHmXJF1v0iK28Xsy67EJicTKFiANlN/Z/f4CSTFxQU18tSZs9m4ZSsTxoxi8fIVvDDoTcYMy3otkJqayoC33uWn0SMpXrQog979gFFjxvJAzzsA2BG3iz/nzKV82TJBzZquWn1M0VJ4w/pDuao4F12PN/rNbKvZ9cuxi6bh3HHcQ5OipTAtL8H78i1ISoTomNPPFIxruMJFcdpd4b+ekoxz2+OYpm2xc3/H+26Ynx1wutyBaXd59sLFaZi6ehOb9hxgfJ9bWLI5jhfH/sFX91+fbb03e1xGTFQE1loe/vwXfl2ylsub1Gb2uq1MXrGesQ93JyIswN74029sc9LMG+PYdCCe8bddzJKd+3lx8mK+uvGCbOvd0awmrSqVItn1+Pe3fzJ1Yxztq5ahXqkijLnxAqLDw/hyyQbemL6cNy8/NyhZjePQ8a1BfPuvbhzetp3u0yax7qfx7Mt0TG7V9zFivx3Hko+HU7xuHa4e+yXD6jUF4MD6jYxq3SEo2f5S9YaYYqXxhj4H5avhXNod77Ps1xd27RLs/N9x7n4p+3tEROK06Ijdtj77smA4zcx2xVzsomn+DzXPwbnoWryv3w1OVsch+qG+JPS5F7s7joIfjCJ1xhS8TZnOe2tXkXxvD0g6SvhV1xHV6yES+/dNXx55x324S87Mg/h0NRpiipfG++AZKF8dp3MPvBGvZFvNxi7Bzvsd596Xsy44tA/vh+GYVpeeocCkZS6D9+Gz/n7RuQfeyBNkXrM4LXP/rK/HbcEOGwipyZhmF2A6dsN+93FwsjoOVV95mZmJr2wAACAASURBVFXXdyd5xw4ajP+RAxMmkpjp2gJg77gfciwSVHzycQ7NOjPXnCL/n/wThjbqCBy11g4HsNa6wCPAv4HTbU5RDr8XQ1Lae++x1m4/1Y2ttcnAE0BlY0xja+0Oa+2CtGWHgZVAhdPMeFKmdhPskrSHC9vW+y1YY7K3kGbbeog/GOw4pyQ/ZXZq18fbvhW7czukppI6dSJhrdtnWcddMh+SkgDwVi3DKZn3LcxPhanfArsg7cH15jUQXRAKHdeCrlBRiIr2lwN2wVRMA/+Gwq5Z4j+QBezmWCha/PRDVa6F3bMD9saBm4q3cLrfYyBz7oYt8eb87v/exTMwtc7JeH3hdHBTYd8u/30q18q6be1GsHdneuu3YzeggP/g2NrT/xsymbxxF13qVMAYQ+OyxTiclMruhOyt5RqXLUapglHZ38BAfEoqAPHJqZQukLcPtwGoctxnPn8qplGrrDEatcKb/RsAdtGf/sNPgK3rM1qe7NgM4RF+7wSM/+/Yw/ioAtiDedRCpWrtrHkXTMWck7UVvDmndUbehdMxddLypiSl77OER2T8944qgKnRADtzgv+zmwqJefuwzTQ4FzvvD/+HzWv849gJv28FMr5v8/5I/76xaxvszn7KMbUbY3ds8osIAEfi/RZjZ9DaaTM4si/vevLkhd9mzqHLxR0wxtCkfh0OxSewa2/2ffDbX3+j143XAOA4DsWKFAZg3eattG7SCIBWTRry28w5Qclp6jXHLpru/7B1HUQVhJjj9ouYohAZnd4LxS6ajqnf4pR/h3NOG+ySWXkVOV3RZk05smEjiZs2Y1NS2Dl2HGUuy3oDXPGWHmweNoLUg/65OXnP3vRlhRs3IrJ0Kfb+PiXPs51I+XObs3/dBg5s3ISXksLKMd9S+1+XZV3JWiILFwIgqkhh4tNatWEt4QUKYAIBwqOj8JKTSTp8OOiZA/Ua4W3djLd9K6SmkvLbL0S0uzDLOqkL5kKSf15xly/BKeU/yA5Uq0Hqovl+YfFoIu7aWMJbtw165iLNmnJkY6b94rtxlD5uv6hwcw+2nGC/sCkp2ORkAJyISHDOzK3Jb1Onc/Xll/rHi4YNOBQfz65M+yr4XYettSQmHsVaS/yRI5QulVEYe+Xt9+hz/z0YzkzTO1OjEXZF2nFpx0b/GFGwcPYVd2w8YW9A0+g8/8HgseugxPjTDxWsazgn4J+zHQfCIzOuOzJfw2U+p+eRycvX06V5Pf8arkpZDicmsftQ9muDmKgIAFI9jxTXTW99+eXMpdzVoTkRYQEASsQEr2V/eub1O+lSr7KfuVxxDielZLvujA4Po1WlUgBEBBzqly5CXLz/WbaqVIrocL9t4Tlli6W/HgxlWzTjwLoNHEw7Jq/+31hqHHdMttYSUcg/JkcWLkTCjtD04M7M1DoHuyztnLp9Q87fve0bcuyJa9pdhTfrV39/PwNOO3Omnj4mCN+1zAJ1G+Jt24Ldsc0/703+lbA2HbKs4y6al3HeW7EEUyqjgOvUqodTrASp82YGLeOJ+M8rjn3Gf/G8YnsOzysO7vWv9YP42R7P1G6CXZr2OW3f4N/zFzxR5g2QcILMm1ZDqn/OttvWYwoVC1rWmKZNOLphI0mb/WuLfd99T7FLO518wzQFzmlEeKlSHJwy9eQri0iu/BMKCQ2A+ZlfsNYeAjYDNYF2xphFaf9y24d+AlDJGBNrjHnfGJO9ecdJpBU2FgN1M79ujKkKNAWCXiI1hYphM3c5O7Q/+8Oss0x+ymxKlMbuyWg5Z/fswpQoleP6YZ2uOuMXOumKFMce2JP+oz2wF4oUz77Owb1/vQ5gzu2IXbXotCOZosUhUyYO7sUUydqC1RQpkbGO5/nDKRUslPZ6phv/A3v998u8bdN2eAumZXnNubwHgec+xml+Qd60mM9kV8JRysZkFAjKxEQRl5B0ytvf36ImP8Ru58LPJnPPT/N4pl39PM0HYIqWgP2ZPvMDe/3XMq9z/GeemJDtBsQ0aYPdug5SU8Fz8b5+n8BT7xF4eSSmbCXszIl5k7dIiYxCEMD+PSfeR46t43mQeCQjb5XaBJ4ZQuDp9/C+fN9fXqIMxB/CuflhAk++g9P9gTzvkUCREv73J409uA+Oy31K6xyvVHnA4vR8lsDDgzAduuRh6Pwrbs8+ypXOGIqobMkSxO3JWkg4FO8/EHpn5GiuufcxHnrpNfbsPwBAnepVmTjdvyGcOH02CUcS2X8oCA+OCxXLeow9tA8KH3cjVjjrOdAe3AeZbtac1pcQuH8gTtee/o3rcUyjVnhL8v48E1muLInbM4pbR7fvILJcuSzrFKxRnQI1qtPqp3G0Hv8DJTt2SAtlqPvS86x67gQtNYMkpnw5Dm3dlv7z4W3bKVQha95pA16lwY3X03vtMq4b+xUTH30SgFXffk/KkSM8uGEl98UuYfbbQziatq8Ek1OqNN6ujAdn3q64LA9Mjhdx5TWkzPILU+7a1YS3Oh8iozBFihLWrCVO6eC3lo8qV5aj205hv6henXN/GkfLX36gRMcO6csiy5fnvD8m0X7RPDa+OyTovREA4nbvoWzpjEYdZUuXIm737izrhIeF8cITj3Jljzto969rWLdhI9de6Q8fNmnqdEqXKkndWjWDnvUYE1MEezjTPhh/4MQPrXLavlhpKFYK54aHcW56FKrWO/1MwbiGO7gP749xBJ77iMCLw+BoAnb14vTVnBvvJ/DScChdATvtp9P+GzLbdSiBskUyemqUKRJD3KETF1x6fjKOdv0/pWBkBJ0a+fvBxj0HmL9hOze89zW3fvgNS7cEf1/eFZ9I2ZjojMwxUX9ZDDiUlMwf63fSulL2e5Vvl2+iXdXgHTNiypfj8LaMY3L8tu3ElM96rJg1YBD1bryOu9Ys5eqxX/H7YxmtzotUrUyPmb9z3a/fU6HNmRtW0RQqij2cqfHE4QO5uy8tUwlTuBisW5b34XJw2pkB0+wCnLv7Yy68Bm/S13mcMNPvKVkab1fme+k4nFI530tHXH41qXP+TNvYEHXvoxz9MHvvrGDLT88rjjExRbGZh/Q9/Pczm8ZtseuDt09HlCtLcqZrzuQdOwgvVzbbesWvuIxGkydQ65MPiTh2PDGGKi/0Y/OL/bOtLyKn759QSDiZadbaJmn/so+N8xestfFAc6AXsBv4yhhz+9/IkKWpkjEmBvgGeDit6JF9A2N6GWPmGWPmfTwvb8fsltAJu7AzgVr1SPnm81BHOS2mY1fwXOzCaSdfOZQCYX6r8EUzsrzs/TwK96WeePOn4LS7PEThTuyntTu4uk5Ffr+1Ix9e0YInf1uMdwZbqpyyspVxrrod78sh/s9OANP2ctxBD+E+ext2+0ZMp2tDm/GYTbG4A3rjDnrEn8MhLBwCAahUA2/az7ivPgRJSTiXXBfqpKfGCWCq1cUb9Q7ukGdxGrb055ORk3Jdl52799K0fh2+/eANmtSvw6ChIwF4otdtzF2ynK73PMbcJcspU7J4+pjXZxNv9iTcNx/FHfIMHD6Ac1mPrCtUrAHJySccO/1MMGEBClavxpwu3Vjc6z4avPU6YYULU/nft7N70mSSdgRvjOW/o/713Vj6+WiG1GzImK43cOWnH4IxlDu3OdZ1ebd6fT6o15SWD91H0apVQh03i4hO/yKsbn2OfuGPJZ06ZyYpM6dRaOh/KfjiIFKXL87okRViJixAgerVmNelG0vvvo8Gb/r7BUDS9u3M7HAx01u2ofwN1xERpLlJcislNZXR347ju88+YdqP31KnZg2GjhxF4tGjDB3xOQ/1+neoI+aO42CKlcIbMxjvpxE4l9zot1I+20QXxDRsidv/Htzn74SIKEzzjLZc3pfv+a/HbcU0DX6Pm5x8fFcXpjzzb5JTXWav9Y+3rudxMDGJL3tfx+NXnM+jo8Zjz6JruFTP4/Ff5nFzk+pUKlIwy7LvV21h2a4D/LvZmSuOnUid665h+eej+aRWI77regOdP/kAjCFhZxyf1GnMqPMuZErfflw24qP0ngtnN4Nz0XV4k78JdZBcswum4A3th/1jLKbNZSff4AwIv/hynNr1Sf7Kv3YL73I9qbOnY/fsCnGy/19Mg1aYclWwsyaENMeBCRNZdG4blnbsxMEp06g++C0AytxxKwd+m5w+d4KI5K18P0cCsALI8rTKGFMYqAysBU69/9MJpPUo+AP4wxizFLgNGHGq26fN2dAIfxgjjDHh+EWEUdbaHAf1tNZ+hD/XA27/O3N9BWpaXIhp6g+vY7dvxBQuTvqbFC7mt0o4y+THzAB27y5MyYzWO6Zkaeze3dnWCzQ5l4gbbifxyXvP6KSo5rxLcVpd5Gfdsg5TtCQWfyxSU7QEHD/8zMF9WVqTHb+OaX4BTr3muB/lTatSe2AfpmimhwZFSmRprQv4Pxct6XcBdRy/BW7C4bTXM7V8K1oCeyBT1nrN/LFIcxj+ys6fitOrH4z/8oTLT9UXyzYxZoU/bnaj0kXYGZ/RHTgu/ihlCp56S/dvVm7lo3/5Q5g0KVuM5FSP/YnJlMjDIY7sgb2YYpk+86JZW8VDps/8QNpnHl0wo+tz0RIEej6N+9+3YE/aBVrF6v7/pv3sLZiOc8m15MXtsz24F1MsU8ukYiVPvI8UK5Upb4HsXbXjtmKTEqF8Fb9HxoE9sCnWz7voT5xLTr/wYdp0Pu77ViL9MzBFivv7cGYHs/YGOeE6xzu4F7t+JRxJm2x31UKoWA3WLj3t/PnNqHG/MOZnv+dLozo12bEro2Xszj17KVMyaw+looULER0VSae2fkvGzu3b8M14f0isMiWL8+4Lfmv0hMREJkyfSeGYrA9a/i7T6mKcFv7wNHbbekyRTPtF4eLZJ3w/tN9//dg6RYr7rcYgy37tzfudwC2PZdnUadQab2lwer0l7dhJdPny6T9HlS+XrTBwdPsODs5fiE1NJXHzFo6sW0eBGtUoem5zirVuReU7biNQsCBORDhuQgKx/YM3x1H89h0UrpgxgmShCuU5vC1r3sa33cxXXfwi4rbZcwlERVKgZAkaXN+N9RN+w0tN5cjuPWydOYeyzZtyYOOmoOUF8Hbvwimd0eLOKV0Guzt7q+awFq2Juq0nh3vfASkZ1xRHP/uYo5/54xUXfP5V3C3BzQtwdMdOoiqcwn6xIGO/SFi3jgLVq3FoUUZL86S4OOJXraZY61bE/ZC3Lc0BRv1vLF+P+xGARvXqsHNXxoOnnbt2U+a4FrAr08Zhrpy2D1120YV89NkoLtp6Plt37KDLzXf62+7ezTW39WTMsA8pVeIkPcpyyTRu50/SCdi4zX4r42MLY4rmanhPe/gA7NzkF5cO7YP9u6BoqRNOtHnK7xmEazhTu7E/VFLasc4umYWpWgc7P9OQaNbDWzgdp2NX7JzJfzs/wBczljBmznIAGlUszc6DGT0Q4g7GU6ZwznNJRIaH0bF+NSavWE+b2pUpWySGSxrWwBjDOZXK4hjYn3CU4jF5W7D5YvF6xizb6GcuU4ydmXogxMUfpUwOv+/53xZRpWgMtzbNWiyYsXkXH81Zzchr26UPyxQM8dt3UKhCxjE5pkJ54rdnPVY0vO1mvk07Ju+YM4+wqEiiS5Ygcfce3H3+kCq7Fi7mwPoNFKtVg7gFp987+kRMswswjf1Cld2xyW99fmxhoaKnfl8aGQkly+N0T5u7rWBhnG734X3zfp7PY5RnmY9jV8zD6dQdy8i8CXr8++/ZlaX3nClZBm/3Ce6lm7UiosedHHnkrvTzXlj9cwg0akpEl+shOhoTFo5NTCTp48FByWqad8j0vGJDvnheYZp3wDRpBxx7xpJ5v/gbmavWw5x/Od7nrwd1qK7kHTuJyHTNGVGuHCnHFQZSM/UU3TVqNJX6PQ1ATPPmFGrVkjK334pTwL/m9BIS2DLgP0HLK/L/ydnX1C73fgMKGGNuhfQH92/gP+w/rRmujDF1jDGZB1xvApzyHVla0eAVYIu1dknaxNCfAiuttUHtf2fn/Y738Yt4H7+IXb0Qc07aZK8Vqvtdis+SuRAyy4+ZAbzYlTgVKmHKlIOwMMLaX4I7O+tYfE712kTe35fEl/pgD57ZccXtzF9x334C9+0nsMvnYJqlzd9QuZY//MvxFw+HD8DRxPRxak2z9tgV8/z/X7sxTocuuCNehZTkvAm4ZQ2mVDkoXhoCYThN22KXz836Nyybi9PSfwhnGrfBpj0wtcvn4jRt60+UW7y0/z6bMyZgMk3bYo8b1oiSGV2oTaOW2Dxotdu9YRXGXt+Wsde35aJqZRi3ehvWWhbv3E+hyLATz4WQg3IxUcza6t+Er9sfT5LrUTw64rQzZrF5DaZUeX94n0AYTvP22KVZx4O3S2enPxA3Tc7HxvqTvBJdkMA9z+N9PxI2rMzY4MBeTNlKEOO3MHXqNoG4PJqUdFNs1rzN2mOXZB0VLkvepm0z8pYokzHmdrFSmLIVYe8ufz/fvwdK+ze0Tp3GeXJDZ2eMx32rD+5bffzvW4sO/oLKtfzj2Am/b0cyvm8tOmTb/7P9jtWLMGUrp48fbarXzzKx5f8nPbpcxndD3+S7oW9y0fktGTfpD6y1LFqxmkIFC1C6xHFDnRnDha1bMGex/9Bo5sIl1KhcEYD9Bw/hpbXe/mj0t3S79KI8y2lnT8Id8gzukGewK+ZjmqS1oq1YA5KO+EOUZBZ/wB8LvGINP3eTttiVaaM4ZppPwdRvgc38394YTKNW2CAMawRwcOEiClSvRnTlSpjwcMp27cKu8Vlbo+36eTzFz/cffIYXL06BGjVI3LiZJffcz5Qm5zKlWStWP/8S2776X1CLCADb5y2gWM3qFKlSGSc8nHrXXcOan8ZnWefQlq1U7eCfF0vUqU1YVCRHdu/h0NatVEl7PbxAASq0bMHe1bFBzQvgrlqGU7EKTrkKEBZG+EWXkTz9jyzrBGrVpcATzxH/5ANZiuc4DqawP9RNoEZtAjVrkTona4+8YDi0cBEFqmXaL64+wX7xS9b9omCNGiRu2kxkuXI4Uf45MqxIEYq2OpeEteuCkrPHtV0Z999PGfffT7n4gnZ89/Ov/vFi2XIKxRSk9HETg5cpVYp1GzayL+1BxZ9z5lGjahXq1KzBzF/GMfm7r5j83VeULVWKb0d+nOdFBAC7eBre54PwPh+EXbsEUz9t/oFyVf0xzHMYj/2E77VuKVRMe4AcVRCKlYaDe/56o5MJwjWc3b8bU7W2f44DTO1zMq7VSmYqsjU8N096XnVvcw5jH76JsQ/fxEUNqjNu/kr/Gm7TTgpFRVCqcNaCckJScvq8Camux5RVG6lW2h96rmOD6sxZ52fauHs/Ka5HsVxcA55y5sbVGdujI2N7dOSiGuUYt3Kzn3nHvhyvO9+ZsYL4pBSeuiBrD8YVuw7w4uRFvHdl6zxttHIiO+cvpFjN6hROOybXubYr63/6Jcs6h7ZupfKFfg+U4nVqE4iKInH3HqJLlsCkXc8VqVqFYjVrcGDDxqBltQum4A0fgDd8AHbNIkzDtKGUylfzx+o/1e9e0lG8wY/jffCMPynv9g1BKSLkaWbwjw/H1GzoFx6DxF21HKdCZUzZ8v55r+OlpM78I8s6Ts06RD/6DInPPoI9kHEvnTjwGeJvupz47leQ9OFbpEz8MWhFBAA7/w+8T17C++QlbOyijDnbylf3r9vOwucVdv4feJ/2x/u0v585rTjt7xeJJ54LISdlKuFcdjPemCHpDZqCJX7RYqKqVyUy7dqi+NVXsX9C1mFzwzMNUVjs0k4cXbMWgHW9H2RRi9YsOrcNm196md1jvlER4QwyjtG/XPzLj/J9jwRrrTXGdAXeN8b0wy+O/Aw8DZz3F5s+a4x5ONP7VDzBOjHAu8aYokAqfg+HXqcQa5QxJgmIBCYBxwawPh+4BVhqjDnWfOJpa+3Pp/Cef9/aJdiajXB6vwKpyXjfD0tf5PR8Hu/jFwEwF12LadgKwiNwHnoNu3Aadur3QY32j8jsuSR98DrR/QeD45Ay8Qe8zRuIuLkX7pqVuLOnEXHnAxBVgKin/IcmdvdOjr7U58zmBOyqhZi6zQg8ORiSk3HHvJ++LPDwINy3nwDA/e4TAtffB+ER2FWLsKsWAuBcfSeEhRHo2c9/v81r8L79+PRCeR7eNx8TuPt5cBx/wtydW3A634Tdsha7fC529iRMj4cJPP0+HInH/e8b/rY7t+AtmkGg77v+GP3/+zhj0tmISEydJnhjPszy65x/3YIpXQGsh92/O9vy09W+cimmbtpN5y+mEBUWYMCF56Qv6/r1dMZe7z9AfH3mKn5as52jqS4XfjaZbvUqcf+5tXiiTV2en7KMz5ZsBGBgx0YYk8cnGM/DG/MhgfteBOPgzZoEOzfjXN4Du3kNdtkc7MyJmFsfJfDcUP8zHz4IANP+CihZDqfzjdD5RgDcIc/BoX14v4wm8NB/wE3F7tuN9/nbeZf36w8J9H4pLe9EP+8VaXmXzsHOmIC59TECz38ECfG4w1/181avj9PpWn/yUevhffVB+o2UO+ZDArc/DoEw7J6deZc3jV25wP++9X0PUpJwv8r0fXvkNdy3/GOA++0nBG7sDWER2NUL079vpmFL/zsXU5jAnU9ht2/E+/hlSEzAm/oDgYdeBSx25QLsygV5mv1k7vxiGLU7tCWmZAle2bKSH54fyIxh/z2jGY53QcvmTJ29gE633UdUZCQDH78/fdnVdz/Kd0P9+v1jd93Ck68OZuAHwyhepDAD+/jrzV68jLc+HQUGzm1Un+ceOJXTfe7Z2EWY2o0JPPqGfxz+9qP0ZYHeA/whiwD3+xEEuvXyj8Oxi7Gxfsttp/ONmLJVAIvdvwdvXMb50VSt6/cg25+9JV+eZHddVvR9hhZjvsA4AbZ+8SXxq2Op2bcPBxctZvf4CeyZ/AclL7yAtn/+gXVdVr/Qn5T9oZmY27ouEx95ght/+B8mEGDJyFHsWbmKdv2eYseChaz9aTy/9e3H5e+/zbkP3AvW8lNPf3+Y/+GnXPHRe9w1fwbGGJb89wt2L1sR/NCuy5G3BhLz5ocQCJD841i8DeuIuqs37qrlpEz/g+jej2GiC1DwZf9c6MXtIOHJByEsjELv+y1G7ZF4El56yj/2BZl1XVY99QzNvvb3i22jvyRhdSw1nuzDoUWL2f3rBPZO/oMSHS6gzXR/v4hN2y+KX9CeOi8+5082aQwbh3xI/MrgD+l5QZvWTJkxi0uu7U50VCQDn80Yh73LLXcy7r+fUqZUSXrfeTs97nmAsLAwKpQtwyvPPRX0bDnasAJbrQHOv5/zr41/HZW+yLn5CbzP087T7a7C1G0B4eE4PV/CLpuJnfkLbFwJVeri3Pa0fw00dZxfyD4dwbiG27wGu3gmgcfeAM/DbluPnTEBjCHQ/UGILADGYLdvwBsz9PTyH6d93apMXb2JzoM+IyoinAHXZRSUu749mrEP30Riciq9R/5IcqqLZy0ta1Tkhlb+w/lrWtTn2f/9xlVvjiI8EGDg9Rfn/TXc8ZmrlmHqxjg6j5xIVFgYAy5pmpF51GTG9ujIzsOJDJ0bS/ViMXT7wp/4ukfj6lzbsCqvT1/OkWSXR372G5SUL1SAIVcFZ/4B67pMfvRJrvl+DCYQYPlnX7B35WrO69eXuAWLWP/TeKb2fY5LhrxFs/vvwWL5tVdvACqc34Y2/fripqZgPY/fHnyMpDMwbw0A65ZhqzfEubs/pCTj/ZzRMt+54xm84f7oyabDNZj65/r3pfe9gl3yJ3b6j2cmYx5nNs07YKrUBc+Fo0fwfhoRvKyey9F3X6XAq+9jAg7Jv4zD27ieyNvvxY1dQeqMKUTd/QhEFSD6ef845+3aSeKzD5/kjYNs7VJsjUY49w3wP+MfR6Qvcu56Du8Tv/e+6dgN0yDtecUDg7CLpmGn/QDlquJcex9EFfAnoW/fBe+j54Obed1SbM2GOPeeIPOd/fA+9ecUMBd2wzRo6We+/1Xs4unYaT/gdLwWIiJxrrnb3+jgPrz/DQlOVtdl49P9qDP6c0wgwO7RX5G4OpYKTzxGwqIlHJgwkbJ33UHRSy/Bprq4Bw6w7qFHg5NFRLIwZ9O4jXJif2doI8mdxFlnbvKrvBDV4Owap/mUpJy54ZzyiqmSvz5nuy44rTiDKj+eg6LyvnVhMN3/RmjHL/07PtgUognpT4P70SuhjpArkz48veFAQmFhwtGTr3SWuadZhZOvdBaZG3uSodXOQp1iz2wh9XS5w4PbEycY7JY86mF4BpkL8q5X2RmxPf99xoMf/yTUEXLtwefyyXxY+VjChNknX+ksU/CiFqGOkDtBLlAGw7zBv5x8pbNMq51b8t8HfRbY3rxePrzBD53y81fmu/3snzC0kYiIiIiIiIiIiIiIBEm+H9ooLxhjSuDPtXC8i6y1+a9ploiIiIiIiIiIiIhIHlEhAUgrFjQJdQ4RERERERERERERkbONCgkiIiIiIiIiIiIi8rflwyk8JJc0R4KIiIiIiIiIiIiIiORIhQQREREREREREREREcmRCgkiIiIiIiIiIiIiIpIjFRJERERERERERERERCRHKiSIiIiIiIiIiIiIiEiOwkIdQERERERERERERETyL8eYUEeQIFOPBBERERERERERERERyZEKCSIiIiIiIiIiIiIikiMVEkREREREREREREREJEcqJIiIiIiIiIiIiIiISI402bKIiIiIiIiIiIiI/G2aa/mfTz0SREREREREREREREQkRyokiIiIiIiIiIiIiIhIjlRIEBERERERERERERGRHKmQICIiIiIiIiIiIiIiOVIhQUREREREREREREREchQW6gAiIiIiIiIiIiIikn8ZY0IdQYJMPRJERERERERERERERCRH6pGQDyTOXBrqCLkSVadCqCPkWvQFzUMdIddSlq4K8M0rAwAAIABJREFUdYRcSdqyN9QRci1s3c5QR8iVyFrlQx3h/4Wk2G2hjpArH2yaGeoIuXZvlfNCHSHX3riyQagj5Mqls34IdYRcu7RIyVBHyDW7ZXWoI+TKxclJoY6Qa9/XbBrqCLnS6fJ6oY6Qa+G1q4U6Qq7tenlIqCPkyvot8aGOkGsPr5sV6gi5duiGbqGOkCtHE1NDHSHXSrSrG+oIueZt2hLqCLlydHP+u69uOevHUEcQkTyiHgki+VB+KyKIiIiIiIiIiIhI/qVCgoiIiIiIiIiIiIiI5EiFBBERERERERERERERyZHmSBARERERERERERGRv82YUCeQYFOPBBERERERERERERERyZEKCSIiIiIiIiIiIiIikiMVEkREREREREREREREJEcqJIiIiIiIiIiIiIiISI5USBARERERERERERERkRyFhTqAiIiIiIiIiIiIiORfxphQR5AgU48EERERERERERERERHJkQoJIiIiIiIiIiIiIiKSIxUSREREREREREREREQkRyokiIiIiIiIiIiIiIhIjlRIEBERERERERERERGRHIWFOoCIiIiIiIiIiIiI5F/GhDqBBJt6JIiIiIiIiIiIiIiISI5USBARERERERERERERkRypkCAiIiIiIiIiIiIiIjlSIUFERERERERE/o+9+46Oovr7OP6+s+kktITee+9NehOwgqhYQGwgWFBAUIqNooAgqCggIFgBEakqvYbee+8lpEMCKSTZnfv8MSHJpqjRLIHf832d4zG7cyf57HJ39paZO0IIIYQQWZKJBCGEEEIIIYQQQgghhBBCZMkttwMIIYQQQgghhBBCCCGEuHcppXI7gnAxmUj4j5RSDuAw1nt5HuiptY5SSpUFjgMnAQ8gEHg9ebcvgHaABm4BT2mtz+dkLluD+/DsOwgMg6RVS0la8KPTdveu3XHv1BntcKCjo0j4YjQ6LAQAr1FfYqtaE8exg9wa8XZOxnKiqtbD6NoLlIG5cy163aJ0L8INo0d/VMkKEHcTxw+fwfVw8PHDePEdVOmK6F0bMBfNTNnFeKgHqmEb8MmDY2h3l2VPeQ3tu6HK14CkJMwVP0Lo5YxlWnZG1WgCXt6YX2Tyflaui+2xPjh+HAchl1ya16jVCLee/cAwcGxcjuOPec5Zq9TG/bk3UKXKkzRlNObuQOv50hVwf3EAeOcB04F92RzMnRtdmhXArXEzvPoNAZtB0p+LSZg722m7R7eeeDzcFRwOdNR14sZ/hA4NtjIXLor3OyMwChcBrYkd2g8dctXlmW3178Oj9wCw2bCvXkbSwp+cths16uLRewBG2QokTPgQx7YNKdvcX3gdt4bNAEic/x2OLetyPJ/x2MuoavUhMRHHL19BUCaHnpLlsT3TD9w90Mf3YS5Jft+9fTGefxtVoDD6ehjmjxMhPha8fDC690cVCADDhrlxKXr3BiheFtsTfcDLB0wTc91v6APb7q7sgKpQA6PLS2Bzg9gbOKZ++K8zZuVurxeZ0VrzydRZBO7ah5enJ2Pf6UeNShUylEtMSmL019+y6+ARDMNgwEvd6dSyKUGhYbz32RSuRd8gn58vE4b2p2ihgDuSPTM9Z02h1iMPcDMsnNG17su1HGnds/Vi+o8E7jmAl6cHYwe+So2K5TKUS0yyM3rad+w6fBzDUAx4/mk6NW/MojWbmDB7LkX8CwLQ49GOdOvU1rV5v5xK4PbdeHl5Mnb4YGpUqeRUJiYujudeT/1+DgmPoHPH9gzv/xpXQ8IY+skEbsbE4DBNBr3ai9ZNG7ss7+3MY35YSOCBo3h5eDDmteeoUa5UhnLPj/qS8KgbeHm4A/DtsDfwz+fH4k07mDBnKUUK5gOge8dWdGvXzPWZ5ywl8OBxK/MrT1OjbMmMmcdOJTzqZmrmd17BP68f36/cxG+bdmIzbBTMm4ePez1FiYCCLstbqF1bao0dhTJsXPx5Lme+/DpDmeJdHqXKkMForblx5Cj7+r4BQPWP3qdwx/tRhkH4xk0cGfaBy3Kmda+14TKjOj2LqlgLkhIxl83OtN2r2nZF1WoG3j6Yn75xR/N5Nm1B3sHDwTCIW/IbsT9867Td54mn8enW3Wp3xscR/clH2M+fTdluFClGoQW/EzNjCrE/f3dHMudv24byH48Am43QOfMI+mqq0/bCT3ej7IfvkRBi9fNCZn9P6JxfAPAoUZyKkybgWbwYaM2xHi+QcPmKS/NqrfnkqxkE7thjHZOHDqBG5YpOZWLi4njuzSEpj0PCI+ncoQ3D3+yT8tyqTVvp/9FYFnzzObWqOh/Tc5pb4+Z4vTXE6lf/uYiEOen6I0/1xOORx1P7I+M+RIcGY6vXCO9+76SUM0qXI27ku9i3bEj/J3KcR9MW+A0aBoaN+KW/EZeuLns//jTe3Z4F00THxXJjzAgc58/iVr0Wed8bmVIuduYUEjbmbPvC6NoruT2fgGPe1xB0LmOhkuWxPftmant+8SzreR9fjJ6DUAULoa+FY/74mdWeL1zCav+XLI+5fC5649LUv/f0G6jqDSEmGseEATn2OlSNBtiefg0MA3PLSsyVvzoXcHPH9tJgVJlK6NgbOGaMhchQVOO22Do9mVquRDnsH/eDK5m8DznM1qApXq8ljxGtXErirz84bXd/vDvunbqA6UBHRXHr81HosBCM8pXxenMI+PiC6SBx3nfYA9e4PK/Wmk+mfUfgrv3W8WLQ69SoVD5DucQkO6OnzGLXoWMYSjHgxWfo1NJq66/YtI2vf16AQlGlfBkmDuvv8txC/K+TiYT/Ll5rXRdAKfUD8AbwSfK2s1rrukopN2A98BjgCRQHamutTaVUSSA2RxMZBp6vv0v8e/3QEWF4f/ED9h2b0ZdTB93MsyeJ6/8CJCTg9tATeLz8Jgnj3gMgaeHPJHl64v7Q4zkay4kyMJ7og+ObERAViW3geBxHdkFoauNV3Xc/xMfiGPM6ql4LjEeftwb/7ImYK+ahipVGFS3t9GvNo7thy3Jsw6e4Lvtt5WugChTGnDkCipXF6PAM5s8TMhTTZw6h923EeGVExt/h4YnRoC36ao7OI2VOGbi90J+kT99BXwvHY9Q0zH3b0FcvppaJDCVpxqe4PfSU876JCSRNH4cODYL8/niO/oaEw7shLmerrhPDwKv/cGIH90WHh+L7zVyStm7EvJjayHKcPkFM3+6QcAuPzt3w6juQ+FHvAuAz/GMSfvoW+94d4O0NpnZd1jSZPfoO4taH/dGRYXhNnI1912b05QspRXR4CAlfjsb9sR5Ou9oaNsNWoQrx/V8Ad3e8xkzBsXc7xMflWDxVtT4EFMMxth+UroTtiT44Jg/LUM72RB8cv06DS6cxer+HqloPfWI/Rvuu6NOHMdcvRrXritGuK+afP6OaPwChl3HMHgt58mIbOhnHvs3JHYSvICIY8hbANnACjhMH4Fb2X5OrsuPlg/H4KzhmfgxREeCb91+9t3/pLq8XWQnctY+LQcGs+n4KB4+fYuTkGfz61acZyn0zdyH++fOx6vspmKZJ9M0YAMZP/4EuHdrQtWNbduw/zKRZcxg/NPca79u/n8PGr2fw4o/Tcy2Dk3u1Xuw5wMWrIayaOYmDJ88wcspsfv18dIZy38xfYtWLmZOc6gXAg63u48PXXnJ5VoDAHbu5eDmIVb98x8GjJxj52WR+nfmVUxlfHx+WfP9NyuPHX36dDq2bAzDthzk82K4Vz3Z9lDPnL9LnnfdZ/5vzhE+OZz5wjIshYaz8/EMOnrnAqFnzmf/x4EzLTnjjBWpWKJ3h+Qeb1uODl57KZA/XCDx0gosh4awcP5SDZy8x6oeFzP8o88/7hFe7UzPdxEi1MiVYMGIA3p4ezFu3jc/m/8nnb/R0TVjDoPb4MWx/4mnirwbTau0KQlauJubkqZQiecqXo9KAN9nyYGeSoqPxCPAHoECjhhRs0oiNLdsB0GL5UvybNyVy63bXZL3tXmvDZaZiLVTBIphThkOJ8hgP9cSc/UmGYvrUQfTu9RhvjLmz+QyDvEM+4NobvXCEhhLw468kBG5wmiiIX/kHcQvnA+DZqi1+A4dw/a3Uwe28bw8hYdvmO5q5/LiPOfpUdxKvBlNn1R9cW7WG+FOnnYpFLP2dc8MzTnhV/uoLLn/xFdGBmzF8fECbLo8cuHMPF69cZdWcGRw8dpKRn0/l12mTnMr4+viwZFbqcfrxPv3p0Cp1MjQmLo6fFi6jTrUqLs+LYeA1cDixb/ex+iMz5pG0JZP+yCvPWv2RLk/h9dpA4ke8i2P/bmJ6WZ9H5ZcX33l/Yt/t4mNFcma/d98nql9vHKGhFPxhPgmBG3Ckqcu3Vv1B/KK0dfldot7qi/3saa493w0cDgz/APznLiZ880ZwOHIkmqqW3J4f8waUqYztyT44vhyaoZztyb5We/7iKYxX3k9tz7frij59KLU93/5xzD9+grgYHItnYdTMONFv7t4AW1Zg6/5WjrwG64UY2Lq/gf3z4XA9ArfhkzEP7oDg1MlRo3kndFwMjvdfRjVqje3xl3HMHIvetQH7ruTJpBJlcXv9wzsyiYBh4PXGu8QN74eOCMVn8g/YdwRiXkozRnTmJHF/Pg8JCbg//ASevd7i1tjh6IRbxE8Ygb56GVUwAJ+vf8K+dzvExvzFH/zvAnfv52JQCKu+m8zBE6cZ+dW3/Do543fDN/MWWW3O2V86tTkvBAUzY/4S5k4aTT4/XyKjol2aV4j/L+QeCTlrO1Ai/ZNaazuwDagIFAOCtbZaalrrK1rr6zkZwqhcA/PqFevsa7sde+Bq3Jq2cirjOLQXEhIAME8cxggonLrt4G7XD0aUroSOCIbIUHDYMfdvQaX74lc1G2Mmf8nqg9tQlWpbGxIT4PxxSErM+HsvnoIbOfp2ZklVrI0+utN6EHzBOus6TyaDkMEXIPZG5r+jxaOYO9eAPclFKdP8rQpV0aFB6PBgcNhx7FiP0cD5DEUdEYq+fC5DR0KHXLE6oABRkegbUSi//C7Na6taEzPoMjo4COx2ktavxL15G6cyjgO7IeEWAPZjhzEKWfXYKFMebG7WJAJAfHxKOVcyKlXHDL6CDrU+e47Na3Fr4vzZ02Eh6AtnM7zHRqlyOI4eANMBCbcwL5zFVr9pjuZTNRuh926yHlw6bZ2dmP7f0S+/VZcvWZ1QvXdTymdT1WhkXWkA6N0bUj+zWoOnt/WzpxfExVivIyLY+g+sz2VMNPjmu6uyq/ot0Yd3WpMIADGZf1b/i7u9XmRl3fZddLm/DUop6lavwo2YWMIir2Uot2jVOvo8Y008G4ZBgXzWcfDspSvcV7cWAE3q1mTd9l13JHdWzmzeRty1O/P98E/cs/Vix166tGtp1YuqlbgRG0dYJu/rojUb6fNUZytvmnpxp63bvI0uD3Sw8tasZtXjiMgsy5+/dIVrUVE0rGPVXaUUMbFWm+hmbCyFkweUXWn93sN0adnYylypHDfi4gm7fnd3ftfvO0qX5g2tzBXLcCPuFmFR//x42qRaRbw9PQCoU7EModdc93oL1K9H7PkLxF28hE5KImjxUoo+2MmpTJmePTg/63uSoq0cibfrjNYYnl4YHh7YPD0x3N1JCI9wWdbb7rU2XGZU5broQ8lXJQads76vM2sTBJ2z2gt3mHuN2jguX8IRdAXsScSvXo5n63ZOZXRs6uSL8va22j/JPFu3xxF0Bfu5M3css1/9utw6f4GE5LocvmQZBR/o+I/29a5cCeVmIzrQmvgw4+Iw413fVl63dSddOrWzjhU1qmbZtrjt/OUgrl2PpmHtGinPTZ71M72ffRKP5CubXMlWrSZm0KXU/si6lbi3cL6KzrE/bX/kEEahIhl+j1ubDth3brkj/RH3GrWc6vKtNSv+ui57eVvrJICV7/akgacnWufsiViqZmP0no3Wg4unktvzBZwL+RWw+hUXrcldvWcjqlaT1P13W/vr3RtT+yIx0XD5jNUuSu/cMYi7mbOvo1wVdFgwRIRYYxm7N2HUcW6HqbpN0dvXWln3bkZVq5vh9xiN2mDu3pSj2bJiVKmBGXwZHWLVZfumNbg1be1UJu0YkSPNGJEOuoS+aq28oK9FoKOuofKl+3dzgXXb99Dl/lbW8aJaZW7ExhIWmUmbc9UG+jzzGODc5lywYh3dH+1EPj9fAPzz/7t+qBDCmUwk5BCllA1oDyzLZJtP8rbDwK/Ao0qpA0qpiUqpejmexb8QOiI05bGOCEP5F8qyvFunztj33IGzI9JQ+QumDtwBREei8jl3zlU+/9QypmmdxZzH7w6m/GvKLz867aTFzesZBzb/SpFSKL8CcO5IzofLhCoQgL4WlvJYX4tAFci6XmT5e8pXBZsbOsy1ywSpQoXR4SEpj83wMFQmDfPbPB7uin3XVgCMUmXQMTfxGTUJ35nz8Xp1IBiuP9xZn7007/HffPbSMs+fxlb/PvDwBL982GrVRxUq/Pc7Zke+gug0nzsdHQnpPnfk80dHpQ6y6ahIyJe8vIRffrgZZf18MyqlvuutK6BISWwffYtt8CRrOaH0HY9SFa2lgyJD+FdclF0VKg4+ebC9NhLbgPGoBs4N6pxw19eLLIRGXKNY4dSliIoG+BMa4dzZvxFjdUS//GEej782iP6jJhBx3Xqfq5Qvy5ot1mTemi07iY2L5/qNnO3I3cvu2XoReZ1ihVKXnCkaUJDQdJ26lHrx0wIef2s4/cd8QUSagfA1W3fT+Y0hvDXmC4LDsx7Uz5G8EZEUK5z6vhYtHEDoX0wkLF+3kQfbtUlZ37Xfyz1Ztnodrbt2p+/g93l/wOtZ7ptTQq9FUdQ/tYNetGB+wrIYWB8+/We6Dh3H1EUrnQZ8Vu86SJd3x9L/81kEZ9LpzvHM16Mp6p/aBipaMF+Wkx/Dv51P1w8mMXXpmkwHqRZu2knL2lVdltWrWFHig4JSHt+6Gox3saJOZfJUrIBvhfK0WL6UFqv+oFA7a+Dw+p69RGzZSqdjB+h47ABh6zcSk+7sb1e419pwmf5tvwLoG2m+Q25ks93sYrbChXGEpml3hoViK5yx3enTrTuFlqwi75uDufGZdWas8vbB94XexMycmqG8K3kULUri1dR/y8SrwXgWLZqhnP8jD1J3w2qqfPsNHsWLAeBdoTz2GzeoOnsGddauoOyH792RtnJoeCTF0ixzWLSQP6F/8T2wfH0gD7ZtmXJMPnrqDMHhEbRp2sjlWQFUQBF0WGq/2gwP/cvvW4+Hu1oTBumfb/8gSWtXuCRjekahIphp63JoCLZMMnt3exb/xSvxfWsQNz9LPcvbrUZt/Ocvw3/eUm6OG5ljVyMAkDddez5tW/22fAWtdn7aMnnTtueTv9Oy2/fOSfn94Vp4ykMdFQEF0o1l5PdH3y5jmtYSTOmufDYatcLctdHVaa2/5V8IMzxNXY4I/ct2p3unLtj3ZFyS1qhcHdzc0cGuXQYNkvsihdL1RSKz6ovM5/E3htD/40kpfZELV65yISiYZwd+wNP932Pz7gMuzyzE/wcykfDfeSulDgAhQBEg7WJxFZK3bQX+1Fqv0FpfAaoAwwATWKeUan+nQ9/m1vYBbJWqkeTiy/RFegqj7ROYGxbmdpDsyVcQ91eHkTRzfMaB4lzk3uFhbFWqk/DL99YTNhtuteoRP20iMa92xyhWEvcHuuRqxr/jOLALx55teI2fgdc7ozBPHLEanXez5DqgqtSFoPM4RvbGMXEwRtfeqVcoAPjlx9b9LRy/fH331JvbOQwbqmQFHLPG4Jg5GqNDNwgolrvZ0rjb64XD4SAkPJJ61auwaNpE6lavwvjp1nqr7/Z5gd2HjtL11UHsPnSUIgEFsd2BQYr/D+6JehFxjXrVKrNo8hjqVqvE+FlzAGjbpD7rvvuSZVM+pVm9WgydNC2X0zpbvm4jD9/fJuXxn2s30PXBjmxaPJfpn33MkI/HY94l7/WEfi+wbPxwfv5oAHtPnGXpZuuqnzb1a7Fu8giWjh9Gs1pVGDb17mnjTejbg2WfDObn4a+z9+R5lm7d67R92da9HLlwhV4PtcmdgMmUzUaeCuXZ2vkJ9r3yGnW/mIBb3rzkKVcWv8qVWF2rPqtr1iOgZXMK3tckV7P+Y3dpG+5eE7dgLuGPdeLGVxPx7fUqAL593iB27g/oO7C8XHZdW72GPQ2bcaBtR6I2babSV58DVh3P26Qx50d+zMFOj+BZpjSFn+mWy2kzWr4+kIfbWyd5mKbJuCnfMuS1XrmcKnNWf6QGCfO+d3pe+QdglK+Ifde/v0+YK8QvmEdk1weI+WoSeV7um/K8/eghIp/uzLUXniLPi6+Ah0cupvwb9/CxTJWrYq20kHaJuruEW7sHsVWqRmK6MSJV0B/vd0dxa9Kou+a9t9qcyX2RKZ9St1plxs+0ctsdJheDgvlxwkdMHNafD76YnjLxIIT49+QeCf9dfPJ9EHyAVVj3SJicvO3s7fsnpKW1TgBWACuUUqFY905wuouRUqoP0AfgyxpleLn0Pz/TUEeGowJSz6BRAYXRkeEZytnqNsLj6ZeIH/LqHVlaJy0ddQ2VP81NN/P5O515AMlnHOcPgOhI6wwZLx+Izd2zWVW9Vqja1rrJOuQiKm8B9O2T2vwKpJ7x/Hc8PCGgOMazA63HefJiPP4q5qJvXHbDZX09AlUwtR6pggHo6xnrRZa8fPAYPBb7glnos8ddkNCZDg9DFUo9q8ooVBid5iyK22wNmuD5XG9i+/eCpKTkfUNxnDlpXYYMJG3ZgK16LVxdy63PXpr3OIvPXlaSFvxA0gJrENZz0Eh00H+vC6r5AxhN7rfyXT6Dyh+QcvWyyudvfb7Sio5E5U89o0bl94fo5DM/bp/Jf/v/yUsPqEbtMNcvtspEhlhnTRYuYV1i7OmNrfd7mCvmpiw5dDdl19GR1uXOiQmQmIA+dwxVvKy19FoOuRvrRVbmLF3BguXWfHitKhUJDks9aywkIpIi6W5+mj+vH95ennRsYd3Q7IFWzVi40vo6KxJQkK9GWDdLjI2PZ/WW7eT1zeOy7Peae6pe/LGaBSutpcFqVS5PcHjq2WAhEdco4u98eXv+vH54e3rSsZl1xugDLe5j4eqNABTIm3plYbeObfls9tycz7twGQt+X27lrVaF4LDU9zUkLIIiWSxPdOL0Wex2BzWrVk55buEfq5g50VrHvV7N6iQkJHI9Ohr/Ajl7Sf+c1YH8tt4aZKpZvjQhaa4iCLkWReGCGS/HL1LQOhMzj7cXjzRvwOGzF3msVRMK+KV+zp5s14zP5i7NsG+OZF67ld82WUs81ixXipDI1DZQyLVoChfILHO+1MxN63H43CUea9EQgG1HTzH993X8OPw1PNxd10W5FRyCd4nUlUi9ihcjPtj5arlbV4O5vm8f2m4n7tJlYs6ew7dCOfybN+P6nn04kpe7Clu7noKNGnBtx06X5YV7rw13m2rYFlXPWrJNX72Aylsw5XucvNloN98BjrAwbEXStDsLF8ERlrHdedut1cvJN+wjogGPmrXxat8Jv7cGY/j5WTewTUwg7tecP76llRgSgkfx4imPPYoXS7mp8m3266nvceiceZT9cDgACcHBxB45RsJF67vj2opV+DWoTxjzczznnMV/sOCPVQDUqlqJ4DTLgYWER1KkUBbH5DPnsDsc1Kxi3Yw5Ni6e0+cv8fwA6x5ZEdeu8/p7o5n6yQcuu+GyjghFpbkyxShUBB0elqGcrUETPJ9/hdg3X07pj9zm3rYT9sD14LC7JGN6ZngoRtq6XKQojkwy33Zr9XL8hn4II52fd1w4h46Lw61CJezHj/7rPKr5Axj3dQAyac+nbavfFn3NaaUCld8fbqRtzxdIvhqhQK4sgwZAVCQUTD2bX+UPgOvpxjKiIq2bQkdFWGMZ3nmcllBVjVrfsasRAMzIcNzTXN1vBBTJfIyoXmM8nnmJ+Hf6Otdlnzx4j/qChO+nWiewuMicZStZsMLqS9SqXMH5eBERSRH/TPoinp50bG4tc/VAy/tYuHI9YF01W7tqJdzd3ChZtDBlSxbjYlAwtao43+Bd5Cwl5439z5N/4hyitY4D3gIGJd9cOVNKqfpKqeLJPxtAbSDDNLTWeobWuqHWumF2JhEAzFPHMIqXQhUpDm5uuLXqiGOH842/jPKV8XxzGPGjBqOjc2HN6MunUYWKQcHCYHPDqNcCfXS3UxF9ZDdGY+tSclWnGfrM4TufMx29PxDzh7GYP4xFnz6EqpF8FlqxspAQn+W9EDJIvIX59buY0z/AnP4BXD3v0kkEAH3uBKpoCWtw3uaG7b52mPv+4ZJWNjfcB4zCsWU15u5Al2VMy3HyKLaSpVFFS4CbG+7tHiBpm/MakkbFqni//QFxw/ujo1IboY4TR1G+filrN7rVb+x0UzRXMU8fT/7sFQM3N2wt78e+8x/edM8wwM+63FWVrYBRtgKO/f99TXm9dSWOSYNxTBqMPrIrdeme0pWs5cLSd+JvRlnPl7Y6ZKpBa/QR67Opj+5BNUr+TDZqm/qZjYrAqGStJ45vPlTh4nAt1Ppsv/Qu5p6N6EM77srs+sguKFfVev/dPVClK6HDcvZS3buxXmSlR5cHWTJ9EkumT6J988YsXbsRrTUHjp3EL48PhdM13pVStL2vIbsOWh3M7fsPUaF0SQCuR99IOXN7xrxFPNEp1y6+uyvdU/XikY4s+XosS74eS/v7GrJ0/WarXpw4jV8ebwoXdB5UV0rRtkk9dh22Biy3HzhChVLWwG3a+yms37k35fkczftEZ5Z8/w1Lvv+G9i2bsXSltYTOgSPH8fPNk+V9Dv5cu5GHOzivfV2sSCG277UuhT974RIJiYkUzJ/zSyn06NiKxeOGsnjcUNo3rM3SzbuszKfP4+fjlWFQ3u5wcP2GdTPBJLuDjfuOUqmkNaCYdkmh9XsPU76yzV7LAAAgAElEQVRExqVOciTz/c1ZPPptFo9+m/b1a7B06x4r85mL+Hl7UTi/8xIOdoeD6zdjUzMfOEalkla2YxeDGPHdQqYMeAn/vK5dxjJq/wHylC+HT+lSKHd3SnTtQuiKVU5lgpevJKC5dQ8Cj4IF8a1QntgLl4i/EoR/8/tQNhvKzQ3/5k25eQeWNrrX2nC36T0bMGeOxJw5En1yP6p28n0dSpS3vq9zaxAwE0nHDmMrVQZb8RLg5o53x4dICNzgVMZWqkzKz54tWmO/ZHXhIl/pSXjn+wnvfD+x834k5rsZLp9EALi5/yDe5cvimVyXCz3WmWur1jiVcS+c2o8s2Kkj8aetezjE7D+IW768uCV/r+dr0Zw4F9XlHl0fYcmsr1gy6yvat2jK0lXrrWPF0ROZti1u+3Nd6tUIAH6+edixbC7r589m/fzZ1KlexaWTCGD1KWwly6CKJfdH2j9A0taNTmWMSlXxHvwhccPecuqP3Obe/kES192ZZY0Ako4dwVa6DEZyXfbq8OBf1mWPFq1xJNdlo3gJsNmsn4sWx1a2PI6rQfwXeutKHBMH4Zg4CH14F6phG2tDmcrJ7fl0YxE3r1v96jLWpL5q2MZqrwP66G5UI2t/1Sj1+TtNXzhp9Xf8i1j9nUatrZstpy1zcAeqqXVClGrQEn3iYOpGpTAatLpj90cAME8ewyheOnWMqHUH7DucvxOMCpXxenMY8SMGOY8Rubnh/cEEktYux75lvUtz9uj8AEumTWDJtAm0b9aYpWsDrePF8VP4+fhQ2D+TNud9Ddh16BiQ3OYsY/VF7m/WmF2HrD7K9egbXLgSTMliWS+VLIT4Z+SKhByktd6vlDoEPAtkNRpQGJiplPJMfrwL+DpHg5gOEqZNwPvjyWAYJK3+HfPSOTye64Pj9HEcOzfj0est8PLGa9hYK3t4CLdGDQbAe/wMjFJlwMsbnx9/J+GLT3Dsy/4g4F9nNDEXzsTW9yMwDMyd6yDkMsYDz6Ivn0Ef3Y3euRbVYwC24VMhLgbHTxNTdrd9MN1aOsXNDVutxji+GQmhVzAefR5VvyW4e2L7aCZ6x1rMVTl/Zg0A546gy9fAeGUk2BMxV6Re+me8MAzzB+u9Va27oqo3BHcPjNc+QR/aht76p2sy/RXTxP7jV7i/8ykYNhyBK9BBF3B7/EXM86cw929DlauCx4BRkMcXo25T9OMvkjjsZYwmbTCq1Eb55sXW0rohYdKMT9GXzrour8NB/JdjyTNhmlWPVyzBvHAWz5dex3HyKPZtm/B+bSDK2wefkROslxgaQtx7/cE0uTVtEnkmzQClcJw6RuIfd2AZKdNB4vSJeI34AgwD+9o/0JfP4979Fcwzx3Hs2oJRsRqew8ehfP1wa9QC3b038f16gM0N77HfAKDjY0mYNDLzG4b9B/r4PlS1+tiGTYGkBBy/TEnZZnv7MxyTrGOAY+FMbM/0A3cP9In96BP7rJe3fhHG84MwGrdHXw/H/NH6TJprFmA80w/b4EmAwvzjZ4i9iarfClW+OsrHD5IH8R2/fA1XL9w12QkLQp84gG3QJNAac+daCLmc7Xx/6S6vF1lp3bgBgTv30fGF1/Hy9GTM4H4p2x7r+zZLpk8CYFDvngz5dDJjps2mYL68jHnHKrfz4BE+nzUHFDSqVZ0P3+xzR3Jnpdfc2VRu0wLfAH/GXj7O7x+NYdvsXFzy5V6tF43qErjnAB17D7TqxcDU5RAe6zeMJV9b332DXnqWIZ9NY8yMH616McAq99OyVWzYuRebzUY+X1/GptnfJXmbNiZw+y46Pv0iXl6ejBk+ODXvi6+y5PtvUh6vWL+JGZ997LT/kH59+WD85/wwfxFKwdj3Bqes1e2yzPVqEHjgGJ0GjMLL050xfZ9L2dZ16DgWjxtKYpKd3uOmYrc7cJgmzWpVoVt7a5D255WbWL/3MG42g3y+eRj7ag+X5gVoXacagYdO0OmdcVbm3k+nZv5gEotHv02i3U7vCTOwO0wrc41KdGtjXc004Zc/iEtIYOAU6zNZrGB+pg582SVZtcPB4SHDuW/BPJTNxqW5v3Dz5CmqDH2HqAMHCV25mvD1GyjctjVtt21COxwc/Wg0Sdevc3XZHwS0bEGbLRtAa8LWbSA03cCtS9xrbbjMnDmErlgL442xVrt52eyUTcYrH2HOtE6HVu2fRNVsYrWb+09A79+MDsxwC7qc53BwY8LHFPzqW7AZxC9bhP3cGXz7vknS8SMkBG4gz1Pd8WjcDOxJmDdvED1imOtz/U3mc8M+oMYvP4PNRti8+cSfPEXpdwcRc/AQ11atofgrL1GwYwe0w4E9KorTb71t7WuanB/xMTV/+wWUIubgYUJ/dv3kR+v7GhK4cw8de7xifYcMGZCy7bFeb7Jk1lcpj1ds3MyMcSNcnukvORzEfzGGPJ9NA8NG0vLk/sjLr+M4eQz71o14v/Z2cn/kMwDMsBDihr0FgCpa3Lq65cCeO5r55vhPKDB5JtgMbi1bjOPcGfL07Yf9+FESAjfg81R3PBo3Rdvt6BvRRI+0rlTxqFOfPC++grbbwTS5+elodHTOXTmkj++12vPDp1rt+XmpwyC2QRNxTBxkvYTfZmB79s3k9vw+9PHk9vy6RRjPD8Zokq4975cf28AJ4OWN0hpaPYLj07cgIR7juYGoijUhjx+2D2dirvoFvXNdhmzZYpo45k3FbcAn1ljG1tUQfBGjc0/0xdPogzswt6zE1utd3D6ejY69iWPm2JTdVaVa1lVlEf/y3nH/KrODW1PH4/PJZKsur16GefEcHj37WmNEOwLx7N0fvL3xfm8cYI0RxY8YhFurDthq1UPlzYd7h0cAuDVxJOa5Uy6N3LpxPQJ376PjS2/h5enBmEGp96l67LV3WDLNGgMY1KsHQ8Z/zZhvvrfanMnlWjSsw5Z9B3n4lYEYhsE7rzzndGWsEOLfUZnd5EzcXWIeanxP/SN5Vcn5swtdTRW7e9ZE/yeSDp/I7QjZlnDZtTfUdAW3vD65HSFbPCsV//tC4j9LOH3nb1L5X/h8/W1uR8i218o0ze0I2Tbx0Rq5HSFbfCbl7DkMd0S+gL8vc5fRl0/mdoTsSUzI7QTZ9sfDuTtJmV0dH6qW2xGyzb1yudyOkG1hS++u9ej/zrnLMbkdIduaHXDtmcmucOPpJ3I7Qrbcir8zyyHlJP+WVXM7QrbpmLvv/iZ/5dale69f7fvNvdcfUWXruPbMkf9RUS1r3VPjl7kt/+bD91w9k6WNhBBCCCGEEEIIIYQQQgiRJZlIEEIIIYQQQgghhBBCCCFEluQeCUIIIYQQQgghhBBCCCH+NVffS0zkPrkiQQghhBBCCCGEEEIIIYQQWZKJBCGEEEIIIYQQQgghhBBCZEkmEoQQQgghhBBCCCGEEEIIkSWZSBBCCCGEEEIIIYQQQgghRJZkIkEIIYQQQgghhBBCCCGEEFlyy+0AQgghhBBCCCGEEEIIIe5hhsrtBMLF5IoEIYQQQgghhBBCCCGEEEJkSSYShBBCCCGEEEIIIYQQQgiRJZlIEEIIIYQQQgghhBBCCCFElmQiQQghhBBCCCGEEEIIIYQQWZKJBCGEEEIIIYQQQgghhBBCZMkttwMIIYQQQgghhBBCCCGEuIcpldsJhIvJFQlCCCGEEEIIIYQQQgghhMiSTCQIIYQQQgghhBBCCCGEECJLMpEghBBCCCGEEEIIIYQQQtxFlFIPKKVOKqXOKKWGZrL9baXUMaXUIaXUOqVUmTTbHEqpA8n/LcuJPHKPBCGEEEIIIYQQQgghhBDiLqGUsgFTgA7AFWC3UmqZ1vpYmmL7gYZa6zil1GvAeODp5G3xWuu6OZlJrkgQQgghhBBCCCGEEEIIIe4ejYEzWutzWutE4BegS9oCWusNWuu45Ic7gJKuDCRXJAghhBBCCCGEEEIIIYT415RSuR3hnqKU6gP0SfPUDK31jDSPSwCX0zy+AjT5i1/ZC1iR5rGXUmoPYAfGaa2X/MfIMpEghBBCCCGEEEIIIYQQQtwpyZMGM/624D+glHoOaAi0TvN0Ga11kFKqPLBeKXVYa332v/wdmUi4BzjiEnI7QraYN2JzO0K22UrcW6t8udepjo6MzO0Y2ZJw5VpuR8g2r7aNcztC9lSqntsJsu30gPG5HSHbomMScztCtjSYMTa3I2TbxEdr5HaEbBv0+9HcjpAtn0a9lNsRss330Za5HSH7ajfM7QTZYi76NbcjZNtDvVvldoRsMXq+kdsRsk155cntCNlW4NT53I6QLTcvnMjtCNlmLv8ptyNk27Vrt3I7QrZERt5beQECKlTI7QjZ9uOw73M7QrYUdr/3hvEeCg/K7QjZpsrWye0IQgAEAaXSPC6Z/JwTpdT9wHtAa611yiCy1joo+f/nlFIbgXrAf5pIuLdGT4UQAPfcJIIQQgghhBBCCCGEEOIf2w1UUkqVU0p5AM8Ay9IWUErVA6YDnbXWYWmeL6CU8kz+OQBoDqS9SfO/cu9NZQohhBBCCCGEEEIIIYQQ/6O01nalVD9gFWADZmutjyqlRgF7tNbLgAmAL7Ag+R4Vl7TWnYFqwHSllIl1IcE4rbVMJAghhBBCCCGEEEIIIYQQ/0u01suB5eme+zDNz/dnsd82oFZO55GJBCGEEEIIIYQQQgghhBD/nqFyO4FwMblHghBCCCGEEEIIIYQQQgghsiQTCUIIIYQQQgghhBBCCCGEyJJMJAghhBBCCCGEEEIIIYQQIksykSCEEEIIIYQQQgghhBBCiCzJRIIQQgghhBBCCCGEEEIIIbLkltsBhBBCCCGEEEIIIYQQQtzDlMrtBMLF5IoEIYQQQgghhBBCCCGEEEJkSSYShBBCCCGEEEIIIYQQQgiRJZlIEEIIIYQQQgghhBBCCCFElmQiQQghhBBCCCGEEEIIIYQQWZKJBCGEEEIIIYQQQgghhBBCZMkttwMIIYQQQgghhBBCCCGEuHcpQ+V2BOFickWCEEIIIYQQQgghhBBCCCGyJBMJQgghhBBCCCGEEEIIIYTIkkwkCCGEEEIIIYQQQgghhBAiSzKRIIQQQgghhBBCCCGEEEKILMlEghBCCCGEEEIIIYQQQgghsuSW2wGEEEIIIYQQQgghhBBC3MOUyu0EwsVkIuF/lFvjZnj1GwI2g6Q/F5Mwd7bTdo9uPfF4uCs4HOio68SN/wgdGgyAKlwU73dGYBQuAloTO7QfOuRqjmdUNRvi9uxroAwcm1dirpif7kW4Y+v1DkaZSujYm9i/+QQiQ8Fmw/bC26gyFVGGDcf2tZjLfwHA/dMf0bfiwTTBdGAf3S/Hczu9hnZPosrVAHsi5oqfIOxKxjItHkVVbwxePpiTBzlvq1IP1ewh0KDDg9B/fu+SnMajL6Cq1IXERBy/TYOrFzIWKl4OW7dXwd0DffIA5u8/pHsdD2N7+Dnso/tA3E3w9MZ4+g1U/gAwbJib/0Dv3ZSjud0aNcOr37up9Xjed07bPbo9h8dDyfU4+jpx40ek1OO8a/dinj8DgBkaTNz7A3I0W1a01ozZepzASxF4uxmMaVuL6oXyZSj3xc5TLDt1leiEJPb27pDy/NWb8QzfcJgbCUmYWjOwSRValynk+sxLNhB4/DzeHu6MeaYT1UsWyVCuz4yFhN+IxW5qGpQvwQePt8NmGJy4Gs7I39YSl5BIiYL5GN/jQXy9PF2aOU+rVhR+/wOUzUbUr/O5Nn16puX8OnWixJSpXHjsMW4dOZzyvFuxYpRfuYqIyZO5Nutbl2YFyNe2DWVGj0DZbITNmUfw11Odtgc83Y3SH75HYnAIAKGzvyd87i8p222+vtQOXM+1lau4OPwDl2Y1Hu6JqlwXkhJwLJwBwRcyFipeFtvjfa3jxakDmH/+ZO3b7nFUwzYQexMAc82v6FMHUXWaYbR4OHX/IqVwTH0fQi7lWG5b/fvw6D0AbDbsq5eRtPAn59dVoy4evQdglK1AwoQPcWzbkLLN/YXXcWvYDIDE+d/h2LIux3L9Wz1nTaHWIw9wMyyc0bXuy+04KdwaN8frrSFgGCT9uYiEOenaF0/1xOORx1PbF+M+RIcGY6vXCO9+76SUM0qXI27ku9i3bEj/J3KcatcNVT75u3r5TxB2OWOZFo+iajSxvqu/fDv1+Rr3odo8BjHRAOh9m9CHt7k0r9aaMQvXEnjsrHVM7vEw1UsVzbL8GzN+43JkFMuG9QZgwpL1bDxyBnc3G6UC8vNJ94fJ6+OVoxlVjQbYnnoVDANzy0rMVQucC7i5Y3tpEKp0JXTsDRwzx0JkmLWtRFlsz72F8vIBbWIf0x/sSSm72l7/CBVQFPuo13I0M4DR+UVUlXrW8e3XaXD1fMZCJcph6/Z6cntoP+ay7619H+qBqtYAHHZ0ZCjmgmlwKw5VtwVG60dT9y9aGsfkoRB8MUeza60ZM/sXAvcdxsvDgzFvvkSN8mUylHv+wwmEX4/Gy8MdgG8/HIh/vrwEhUXy/tTvuRZ9k3x+eRjfvxdF/QvmaMbMMn8y/UcC9xzAy9ODsQNfpUbFchnKJSbZGT3tO3YdPo5hKAY8/zSdmjdO2b5q6y76j/mCBV98TK1K5V2W16jVCLee/cAwcGxcjuOPeU7bVZXauD/3BqpUeZKmjMbcHZiyzf2dcRgVqmOeOkzSpPdcljG9gHZtqDZmNBgGV36ex/nJX2coU7TLo1R8dxBaa24ePcahvm+kbLP5+tJy20ZCl6/i+FDX59ZaM2bdfgLPBePtbmPMg42pXtS5HsYn2Rm4dBuXo2IwlKJtxeK83boOAIsPn+ezjQcp7OcNQI96FXmyTgWXZvZu3pKCQ99D2WzcXLiA6FkznLb7PfUMeZ/pgTZNdFwcESPeJ+ncWXBzJ+CjUXjWqInWmmvjPubW7l0uzXpb3ratKT1qBNhsRMz9hZB07U7/p56k5IfvkZTc7gz77gciktudleb+SJ769YjZtYczz790R/JqrRkTeITAC6F4u9kY06Ee1QvndyoTn2Rn4Io9XI6Os+pFuSK83bw6AHuCIhkbeIRTETf47IEGdKpU3OWZS9zfjvs+/QRls3Hqh5859Plkp+2Nx46mWMsWALj5eOMVEMCc0hUBaDjyA0p1svp/B8ZP4vyiJS7PC1CoXVtqjB2FMmxc+nkuZ7/MeLwo1uVRKg8ZDFpz48hR9icfL7xKlKDOlxPxKlEctGbX0z2Iv5xx7CMnaa0Z89NiAg8cx8vTnTF9nqVGuVIZyj3/8deER91I/d4b8ir++fz4Zd1W5q7Zis1Q+Hh5MrLXU1QskXV7Sgjxz9zTEwlKKQdwOM1TjwFlgaXAOcAHCAXGa63/SLOfGxAMzNJaD/2bv/EIMBprGSh34EsgAOiWXKRWmgyzgYLAK0A4kCd52/ta62PJv28O0BBIAnYBfbXWqb2nnGAYePUfTuzgvujwUHy/mUvS1o2YF8+lFHGcPkFM3+6QcAuPzt3w6juQ+FHvAuAz/GMSfvoW+94d4O0Nps7ReAAoA7ce/UiaOBSuR+D2wVeYB7ZDcOqgktHyAYiLIWn4SxiN22B7sheO6WMwGrYCd3fsH/UFD0/cR8/E3LnBmmQA7BPegZgbOZ85vXLVUQUKYc4aCcXKYnR4BnPOZxmK6bOH0fs3YfT6yHlD/kKoxh0x506ChHjw8XVJTFWlLvgXxfHZQChVEdtjvXBMzTgQaXvsZRyLZsLlMxgvDkFVroM+ddDamK8gqlIt9PXw1N/btCOEBeH48TPI44ft7Uk4DmwBhyNnghsGXv2HEfvOq8n1eA5J2zZlrMev9khTjwcQP2qItTExgZhXns6ZLNkQeCmCi9FxrHy2JYfCohm5+RjzH2+aoVzbsoXpUbM0D8zb7PT89H1neaBCUZ6pUZoz12J4dfkeWpdp49rMJ85zMSKKlcNe5tClYEYuXMf8/t0zlJv0/CP4enmitWbAD7+z6uApHqpXlQ9/Xc07j7aiUYVSLNx5hNkb9vDWg81dF9gwKDJiBJdfeIGkkBDKLlpMzLp1JJ4541wsTx4KvPAi8Qf2Z/gVhd97j5jAnJ34+qu8Zcd+zImnupMYHEyNlX8QtXoN8adOOxWLXPp7lpMEJYcM5saOnS6PqirXsY4Xnw+CkhWwdX4Rx/QRGcrZOr+EY8m3cOUsxvPvoCrVRp8+BIC5dSV663Kn8vrgNhwHkwdfi5TE1mNgjk4iYBh49B3ErQ/7oyPD8Jo4G/uuzejLF1IzhIeQ8OVo3B/r4fxaGjbDVqEK8f1fAHd3vMZMwbF3O8TH5Vy+f2H793PY+PUMXvwx80myXGEYeA0cTuzbfazj8ox5JG3JpH3xyrPWcbnLU3i9NpD4Ee/i2L+bmF5PAaD88uI770/su7e7PnO5GtZ39bcj0nxXT8hQLOW7uveIjNtO7EOv+9XlUW8LPHaOi+HXWflBXw5duMrIX1cxf9ALmZZdc/AkPp4eTs81q1KOgY+2wc1mMHHpBmau2c6gLm1zLqAysD37BvYvhlttuGFfYh7a6dyGa94RHRuD44NeqIatsT3+Mo6Z48AwcHv5XezfTYAr5yGPn1O7QdVrZrWJXEBVqQsBRXFM6A+lK2Hr2gvHlPczlLN17Y1j0Qy4dBrj5aGoKnXRJw+gTx/GXDkPTBPjwe4YbR/DXDEXfWCL1f4BKFoK2/ODc3wSASBw3xEuBoex8utPOHj6HKNmzGH+uOGZlp3Qvzc1K5Z1fu7HBXRp3ZTH2jZjx+HjTPp5MeP798rxnE6Z9xzg4tUQVs2cxMGTZxg5ZTa/fj46Q7lv5i/BP38+Vs2chGmaRN+MSdkWExfPT0tXUqdKRZdmRRm4vdCfpE/fQV8Lx2PUNMx929BX0/xbRoaSNONT3B56KsPujj/n4/D0wtb2EdfmTMswqP7pGHY/+Qy3rgbTdM1ywlauIjZN+8KnfDnK93+THQ91wR4djUeAv9OvqDTsXa5td3374rbAc8FcvH6Tla88xKHgSEau2cv8nh0ylHupURWalClCosPBy/M3EngumFbliwHwYNVSvN+hwZ0JbBj4v/8RIa+8hD0khOLzFxK3YZ01UZAs5s/fufmrNQjv06YdBd8dRuirvfF70qonQY8/ilGwIEWnfcvVZ54A7YK+dbrMpcd8zKmne5AUHEy1Fb8TtXoNt9K1O68v/Z1L732YYfeQqdMxvL0p1LNHhm2uEngxjItRsax8vj2HQq4zcsMh5j/dKkO5l+pVpEmpABIdJi8v3kbghVBalS1CMT9vxnSoy3f7zmby23OeMgyaThzHqi7diA26SueNq7m0fCVRJ0+llNk1LLVNX61vb/xr1wKgZKcO+NepzZLmbbF5evLg8iVcWbOWpDTHPZcwDGqOH8POJ54m/mowLdeuIHTlamLSZM5TvhwVB7zJtgc7k5TueFFv6mROf/4lERsDseXxQbtijCidwIPHuRgSzsqJwzl49iKjvv+N+SMHZlp2wuvPUbN8aafnHmnagGfaW33S9XuP8OnPS5k5pK/Lcwvxv+5ev0dCvNa6bpr/LiQ/v1lrXU9rXQV4C/haKdU+zX4dgFNAN6Wyvu5GKeUOzAAe1VrXAeoBG7XWn9z+m+ky3J6G/jz5cSVgPrBeKXX7lOI5QFWsCQhvoHdOvBFp2arWxAy6jA4OArudpPUrcW/exqmM48BuSLgFgP3YYYxChQEwypQHm5s1iQAQH59SLiep8lXQYVchIgQcdsxdmzDqNXMqY9RtirltDQDmnkCMavWsDVqjPLzAMMDdA+x2uHXnB3xUxdroo8lnlQRfAE9vyJM3Y8HgCxCbcWJD1W6GPhCY2mGOc03jQVVrgN6fPFh9+Qx4+YCf8xke+OW38l+2BmL1/s2o6g1TNhsPP4+5Yq7zPhprHwAPL4iPsa4EySG2qjUxr6atx6syqcd70tTjQxiFMp5Ff6etvxBKl8rFUUpRp0h+biYkER6b8TNUp0h+CuXJ/AzRmER78v+TKJxFmZy0/shZujSobmUuU5yb8QmE38hYH29fZWA3TZIcJgrr8Hkh/DoNy5cEoFnlMqw+fDrDvjnJq04dEi9eJOnyZUhK4saff+B7//0ZygUMGEjkjOnohATn13F/B5IuXyHxtGtzpvy9enW5df4CCZcuoZOSuLZkGQU6dfzH+/vUroV7oUJEbwr8+8L/karWAH17QOzKWfDKA77pjhe+yceLK1ZnTR/Y4nS8+DtG7WboQztyKrL1OytVxwy+gg69CnY7js1rcWvi3AHVYSHoC2dBOx+njFLlcBw9AKYDEm5hXjiLrX7Gyb877czmbcRdu57bMZzYqtXEDLqUelxetxL3Fs4D1I79u//2uOzWpgP2nVtc0r5IT1WqjT6aPEgWfAG8svddnRvWHz5Nl8Y1rWNyuRLWMTk64zE5NiGRHzbspm9H5/ZT82rlcLNZTfw6ZYsTEnUzR/OpcpWd23B7NmHUcb5qRtVpit6xFgC9bzOqal3r+eoN0EHnrUkEsK5euv2Z9PTCuP9xHMt/wRVUjUbovcnH0UunwTtP1u2hS9b3g94biKrRyPr59KGUdo6+dBryOQ/IAhh1mqMPuuaKlfW7D9Cl9X0opahbuQI3YuMIux71j/c/c/kqTWpVBaBJzaqs333AJTnTWrdjL13atbQyV61kZc7kuLZozUb6PNUZAMMwKJAv9TM6+ecF9H7yUTySzzR1FVWhKjo0CB0eDA47jh3rMRo4f7Z0RCj68rkM3yMA5rH9d3wCOn/9esSdv0D8Rat9EbJ4KUUe7ORUpmTPHlya/T32aOuqqsSIyJRteevUwrNwISI33KETK4D1Z4LoUqOsdXwrHsDNW0mExzhPHnq7u9GkjPXd4WGzUb1IAUJv5s7kvmet2iRduoj9ymWwJxG74k982jm3OXVsbMrPytvb6iMBHhUqcmuX1d4xr13DvHkTjxq1XJ45T726JC1SRlwAACAASURBVFy4QOLtdufS38mfjXbnzS1bMWNcPKidzvpzIXSpWtKqF8UKZtp/8nZ3o0mpAAA8bAbVC+UjNMYqUyKvD1UC8mHcoSVVAhrW58a5C9y8cBEzKYlzC5dQ+uEHsyxf/smunPttEQD5q1QmZNt2tMOBPS6O60eOUfL+9lnum1Py169H7PkLxCUfL4IyOV6U7tmDC7O+Jynd8cK3SmWUmxsRG63vUEdsHGa8ayb901q/9whdWjSyvkMqluVGbDxh16P/8f6+aa7GjE9IlBV3hMgh9/pEwt/SWh8ARgFp17h5FuvKgkvAX40W+GFdtRGZ/LsStNYns/n35wOrge7Jj5frZFhXJJTMzu/7J1ShwujwkJTHZngY6i8GWD0e7op911YAjFJl0DE38Rk1Cd+Z8/F6daA1YJ/T8gegr6We3c71cFT+dB2yAmnKmCbEx4JvXsy9m/k/9u47PIpqfeD498xmU0hvJKGT0HsVpEmRakHECoriBXsFEcUKKth7vxYsgP5QAVGklyjSO0jvJb2RXnbO748JSTYFiWSJeN/P8/jcuztnNm+WyZlz5j1F5+Vgf+Nb7K/OwLHo+6JlNNDgNm4abk+/j9FrSNXHXYLyCUCnl+gMpaeWfeB2tvMDa0JgTYybH8EYMR4aNHdBlIB/EDq1uNOg05LBr9RUdr8g9OnkEmWSwN8qo5p3hNPJZUYP6zWLILQWtic+wPbQK5jzv6rSETYqpCY6vuR1HIcKqVlhefchw6wHU0VvuOP90Qy83/8Kt+5VOBLzL8Rn5hLu41X0OszHk7jM3LOc4ez+To2Yv/8Ufb5ewd0LNvFkDxddFyXEp2UQHuBb9DrM34e4ch5aAYz9+Ad6PvsR3h52BrRtDECjsGCW7bQeKi/avq/KH1qVZg8LoyAmpuh1QWws9jDnOs6jZUvsERFkrlzp9L6qUYPgu+4k8V3n6ceu5B4RTt6p4uXh8mJisEeUnVYbdMVgWi9fTONPP8K9ljXqDqWo/9zTHJtcdgSnS/gGWn//hfTpZPALdC7jF1iqvkgG3+IyRtf+2O6fijFsrJW4LEW17oK5vWpHoqvgUHRifHFMifGo4HNbEsw8vB9bh67g7gG+/thad0CFVlzX/C9TIWHo+Lii12ZC3Fm/K/crStXLZ97vN5j8pb+6JMbSlI8/Or3Ew9ZK3qsBVJN2GLdPwrh6TNkHzy4Qn5buXCcH+BKXVrZeffeXaG7v0xkv94onGP+4djs9W1TxUjABIVBihqJOSYRSbTgVEIxOTrRemKb1gNXbDxVWG7TG9uALuD35LsaA64rOMa4ehbnkR8hzUYLJr1T9lpZUfnsorVT9VroOBFSnPui9ZWe7qbaXYm51TSIhLjmF8JDieMODA4lPKj+RMOn96QwbP5kPZv+MLmybNWtQlyVrNwOwZN0WMrNzSHHxCNi4pBQiQkvEHBJEXJJzIuF0hvUQ9u2vZ3Ptg5N4aOpbJBY+KNp14DAxCUn0vqS9S+MEUIEh6OQS95HkRFSga5eWPF8eEeFkl2hf5JyKwSMiwqmMd1QkNaIi6fLLPLounE9I397WAaVoNuVZ9jwz5cIFDMSnZxPuV9w2CPP1Ii694geSp3PyWHngFF3rF7fzFu87wTVfLOThuauJOe3aBIOtZhiO2OL+iCMuFreaZfvVvjeNpM6vSwka/xhJ06w2W97ePdTo3RdsNtxq18G9RUvcwl2/rIp7eDh5J53bne7hZWMOuGIILZYtIvK/H2GvFVHm+IUUn5FDuG/J/pNXUZKgPKdz81l5OI6uhYmFC807IoLMEyeLXmeeOkWNCr5D77p18K1fn5hV1sC+5J27qHN5P2xeXngEBRHRszvetV2/FJNXRDg5J4tjzjkVg1ep/oh3oyh8oiLptmAe3Rf9TGhfqw/tHRVJfloaHb/8jJ4rFtP8uadd84yolLiUNMKDi9td4UEBFSYSJn3yLcMmvcoHcxYX3fcAZiz5nQHjXuC1b+czadS1Lo9ZiP8FF3siwUsptbXwvzlnKbcZaxYASilP4HJgPjALK6lQLq11MvATcFQpNUspNVIp9Xe+s6Kff0bhbIdbgYV/4/OqjL3/FdiatiD32+nWGzYbbq3bk/3h62TcPQIjog72QUOrM8QyVMOmYJrkj7+Z/ImjsA0cDiHWTTD/pUcomHIfBW89idH3KlQT14/6+NsMGyqwJuZ3b2P+Mh1jwIjiEf7/FHZ3a+r+ktllDqkmbSDmKI5p9+J493GMq2+vtvjtlw+xruPvivd1SL9pCJl3jyTrhSfwun8CRq0qz9m5xC8HYrimaW1W3NqHj4Z0ZOLy7ZiungJdCf+9azirnr2LvAIH6/Zb64y/cONAvv1jG9e9+Q2ZOXnYbbbqDVIpwiZNIn7a1DKHQh58iOQvvkBnVe+yNaWlLl7C1s7d2NF3AGmrfiPynTcBCBs9itRly4v2TvinM9ctxfHGOBzvPwnpqRiDS02LrxMFeXnl7idTXRxb1+PY+Aeer3yC54QpmHt2Vunsqv9VVvuiJbmzpju9r4JDMCIbUbDetfsMVBV9cAfmJ89gTp+KProHY/Co6g4JgN0n4jiemMrlbZtWWOajRX9gsxlc1anlBYzsLxg2VKOWOD57hYJXHkW172bNVqgTiQqNQLvoIXxVUn2GgelAbymVJKvbyKrf4sruwXEhvfrQGH568zm+eWEim3bvZ94qK3H72G3Xs+HPfVz76BQ27tpHWFAAtgvwIOivOBwOYhOTad+8CT++M5V2zRvzymczME2Tlz79holjbqnuEC9qys2Gd2RD1g8dzrY776Xlm6/h5udHvTtuJ2HpcnJLDMz4pykwTR6dv4ZbOjamboC1BGyfRrVYeteVzB09iEsbhDFpwYVbluls0r+dwYnBl5P8xqsE3HWv9d6c7ymIi6XWdz8SNHESuVu3/GPaF6lLlrLjkm782W8gp6N/o+Hbb1R3SOeswDR5dOEmbmnbkLr+3tUdzl+KHD6MI/Pmowv/7U8tX8mJxUu5cskCen/+MfEbNmL+Q64LZbPhHRXJmquHs3nsPbR561Xc/PwwbDaCLu3C7mcm8/vlg6nRoD51b77wSwhX5NV7b+Gnlx7jm6cfYNPeg8z7fWPRsZH9e7D4jacYf9OVfDR3cTVGKcS/x0W9RwKFywqdQ7mSk5iuBFZorbOVUj8ATyulHtZal7uwu9Z6jFKqNVby4VGsZZFur2Sc5U2i+gCI1lr/Vs4xlFJ3AncCvNW4NrfXKjt9uiI6IR4VWpxdNkJrohPiypSzdeyCxy1jyHzoP5CfX3huHI4De61lC4D831dga9Gaqt3EAUhNRAWVGOUTGOo0ah6AFKuMTkm0Mt5e3pBxGqNLX/TODdaauumpmAd2YTRogpkYC2c+Iz0VvfkPVMOm6H07qCqqXS9UG2uas449ivINpOgRr28AZJz7FHOdngqxR6wGZVoSpMRDYGiVrBuuuvbH6NzX+jknDlkjAwuXeFX+QdYMg5JOJ6NKjMpT/sGQlgxBYRAYiu2hl60DfkHYHpiK4/2nUB17Y66aZ72fFGftnxBaq2i5k/OlE+NRNUtex2FOI47PsHUovI4fLr6Oz5wPoGNOUrB1I0ajZpinXPPwcubOo8zebX1261B/YjOyAWsEY1xGDmHe577x8A97TvLJFda6r+3CA8krMEnJySPYq2o3L575+1Zmr7P+NlrXDXOaRRCXlkGYf8V7dnjY3ejbqhHLdx2gW9P6RIYF8eldwwFrmaPo3YcqPLcq5MfF4VZixJ1beDj5ccV1nOHtjXvjJtSbYS3HZQsNpfbHH3PyrrvwatsWv0GDqPnYRAw/PzBNzLxcUr/+uszPqSp5MbG41yoeaeQeEVG0ud0ZBSWWp4ifMYu6T1vrXvt07Ihvl0sIu30URg1vDHc7ZmYmx198qcriU10ux+hkjTjSJw+h/IOL6jXlFwSnSy1DcTqlVH0RBGdmZ5VYGsbcuALbrc4bzButu2LuqPp18XVSgtOMJRVSE52UcJYznOXP/pL82VYi0mP8ZPTJKty/4V9EJ8ahSozENELD0Anl1Msdu+AxaiyZD9zhVC8D2PsMpCB6OTgKXBanat8L1cZaE1fHHEX5BvztezU5xUtW6O2rUZddU3WBljAzehOz11j7ErWuF+FcJ6emE+bv61R+2+GT7DwWy+XPfYDDoUnKyOS2d2bw5YNW8m7Ouu2s2nWAz++/mbOs4vn3pCZa7ZVCKjCkuP1VSKcmoYJC0Kln2nA1IPM0OiURvX9nUV2hd2xA1YtC5eSg6jfG7cXpYLNZs4PGvYzjjYnnFaq6dADGJdaSEfrEQef6zT+4/PaQf6n6rUQdqDpehtG8A47/lp0lZrTthrlt9XnFW9qMX1fw/VJrKYlWjRoSm1gcb2xSCjWDy86QCQu22h/eXp5c2eMSduw/wjW9u1EzKIB3H7MecGZm57B47Sb8vMvOGjvvmH9ezOyF1ibqrZtEEpNQIubE5KL4zgjw88XLw4MB3awlpAb16MoPi1eSmZ3D/qPHGfW49V0npqRx75TX+OCZR12y4bJOSUQFlbiPBIU47Q32T5QbE4tXifaFZ62IMomBnFMxpG3agi4oIPvYcbIOHqRGVEMCOncksGsX6o2+DZu31b5wZGay7/mygzDO18zN+5m93Wobtg4PIrbELIK49GzCfMsfiPTsoo3UD/RlVKfihGlAifbwdW0ieX3l9iqPtyRHfBy2ErMIbGHhFMSX7VefkfnrL4Q8PZlEAIeD5FemFR2L+OZb8o+Us8F7FcuLjcW9tnO7My/WOWZHiXZn4oxZ1HnqCZfHVdrMbYeZvcvqoLYOCyC2xMyUuIxswnzKX9712eXbqB/gzaj2rt1k+2wyY2LwrlO76LV3rVpknSo/KRc5fBhrxjvfy7a99ibbXrMGDV322UecPuD6vR2yY2LxrF0cs2etCLJL9UdyTsWQsnlzUX2RefAQ3lENyY6J4fSOXWQdtdrHsQsWEtipA8dnOG9IXxVmLPmd71dYfYVWkfWILTHzLjY5lZqB/mXOCQuy7oXeXp5c2a0jOw4d45qenZ3KDOnanslffF/l8YqylCFrSP3bXeyJhHPVHthd+P9vBnoopY4Uvg4G+gJLKjpZa70D2KGU+ho4TOUTCe2BorSoUupZIBSocKcXrfUnWPszkNa7baWGIzv27sJWpx4qvDY6MQ5730FkveDcODAaNcNr3NNkPXYvOrW4ge/Yswvl44vyD0SnpeDW4RIce3dV5sefE314rzW9PSQcUhIxLrkMxyfOD8bMrWswuvXHcXA3RqdemHustVx1crw1em3NMnD3xIhsTsGSOdY6/YaCnGxw90S17IA5f0bVxr012trXACCyJUb7Xug9myCigbXXQSXWV9YHtqGad4Kda60kSWDNMh3xvx3n2iU41lqXtGraHnXpAGvN3rqNrP0k0ks9RElPteKv2wiOH0C172ktXRR3HMeLdxcVsz32Do73noSsdEhNxIhqhXlkL/j4o0IiILnsA6W/y7FnF7ba9VDhtdCJ8dj7DiTrBedNBY1GTfEa9xRZE+9Dp5Z42Onja629nZ+P8gvA1qpd8awbFxjRqj4jWtUHYNXReGbsPMaQRhFsj0/D191e4V4I5Ynw8WTtiSSGNavDwZQMch0mQZ7uf31iZWPu0Y4RPaw87Ko/DzFj9VaGtG/K9mMx+Hq6E+rnnEjIzM0jKzePUD8fChwmq/48RMdIqzGalJ5FsG8NTFPz0ZK13HBp2yqPt6Sc7dtxr98Ae5065MfF4XfFlZwaV7zxlpmRwYFLihuP9WbMIH7aS+Ts3MGxm28qej/kwQcxM7NcmkQAyNi6Dc/IBnjUq0teTCxB11zNwXsfcCpjr1mT/Hjr7ydw4ABy9lv7lRy878HieG+8Hu+2bao0iQCg1y3Fsc5ay1w1aYfq2h+9fY01eyA3q+xD14zC+qJOFJw4iGrXA722cISPT/FDWtWiEzquRPJOKWtZo3IewJ0vc/9ujFp1UWER6KQEbD0vJ/e1Z//6RLAecnr7QPppVIMojAZROLasr/IY/w0ce3Zhq1MfFVEbnRCHvd8gsqY87lTGaNwMr0efIWvCPU7tizPs/QaT88nbLo1Tb4lGbyl5r77sb9+r8fYrLt+oDSS5ZnbQiF4dGdHLSiKv2nWAGdGbGdKhOduPnMLX04PQUsndm3p24KaeHQA4mZTKPZ98X5RE+O3PQ3y2dB1fPTgSLxesK6+P7EPVrAXBYZCahNHpMgo+e9m5zPa1qK6Xow/tQXXoid5jJUn0n5tQA68Duwc48lFNWmMunYPeuQEz+hfr5OCauN03+byTCAB6zWIca6z6STVrj+o20GoP1Wt89vZQvcZwbD+qYy/0amvysGrSFuOyq60N6PPznM9TCtXmUsyPzrHeOUcjB/dh5GAr0bty03Zm/rqCIT0uYdv+Q/jW8KJmoHMiocDhID0zi0A/X/ILCli5aTuXtrGWSEw5nY6/jzeGYfDfH3/l2r49qjTWopivHMDIK6312Feu38KMnxdzxWWXsm3vAXy9vagZ5JxIUErRp0t71u/YTde2LVmzdSdRdWvj612DtbM+KSp36+PP89h/RrokiQBY12p4bVRoODo5EVvXvuR/8KJLflZVSduylRqRDfGqV5ecmFjChw1l+133OZWJX7CQiGuv4eSs77AHBVEjKorsI8fYfnfxqr+1b7oBv3ZtXZJEABjRoTEjOljLYa46eIoZm/czpHk9tsck4ethJ9SnbCLh7d92kJGbz/ODnB8GJmRkF5VfceAUkcG+Zc6tSrk7d2Cv1wC32nUoiIvDe/AVJDw2zqmMW736FByzHoh79epN/rEjAChPT1AKnZ2N56XdoMDhtEmzq2Ru3YZnw4a4161LfmwsQUOv4tC9DzqVKdnuDBjYv6jdeSGNaNuQEW0bArDqcBwzth9mSJPabI9Nsa6LcvpPb6/ZTUZuAc/3O5expK6TuGkL/pEN8alfj6xTMUQOv4aV/7m7TDn/xo1wD/Anfv2GoveUYeAe4E9ucgqBLVsQ1LIF0ctWuDzmtC1b8S5RX9QeNpTNd97rVCZ2wUJqDb+GEzOt+sI7KpKsI8fIT0vD7u+He3AweUlJhPTsTurWbS6Jc2T/Hozsb92fVm7ZxcwlvzPk0vZsO3i08L7nnEgocDhIz8om0NeH/AIHK7fs4tJWTQA4EptAg3Br4MOqrX9SP7x6lsIS4t/mX59IUEq1AZ4Gxiil/ICeQF2tdW7h8dFYyYUyiQSllA/QSWu9svCtdsDRSv784cAAYHzh6zHAQKCf1uXs1FUVHA6y356G96sfgmGQ/+tczCMH8Rh9L469uyj4YxVe9zyC8qpBjcmvAmDGxZL15ENgmuR8+Abeb3wCSuHY9yd5P/9Q9TGaJgUz3sP+yFQwDBy/L0KfOopt6CjMI/vQ29Zi/rYQt7ETsU/9Ap2ZTsHHVuPWXP4Tbnc8ituUT1BK4fh9MfrEYQgJx+3+wg6cYcNctwK9c+NZgjhPh3ahG7bEGPMs5OdjLvym6JAx6nHMr6yHfarXUCthYLdj3PU8esca9B8L4MhuaNAcY/STYGr0qrlOIx+rit67BdW0HbZH34L8XBzff1x0zPbANBzvWkkmx7wvsF13N9jd0fu2oveefRM+c/kcjOvvLpytoDAXzrISDFXFdJD9zkt4v3LmOp5XeB3fg2Pvn9Z1fHfhdfzcmes4hqynHsZWPxKvcU9Zm+Epg9xZn2Mede0o+TN61Qsl+lgig2ZF4+lm48XexctrDZu9mjnXW6NkX1uzl18OnCKnwEGfr1cwvFkd7u/cmMcubcazq3by1Q6rqpnap3XVjyYtHXPzhkTvPsygaZ/jaXfjxZuKN94a9vrXzBl/K9l5+dz3+TzyChyYWnNJVF1uLEwYLNiyh5mrreulf+vGXHuJi5fRcDiImzyZul9MB5tB2uzvydu/n5CHHiZn5w4yli1z7c+vLIeDI5Oepumsb1A2GwmzviN77z5qPzaezK3bSV28hPAxowkY2B9d4MCRmsrBh8b99ee6gN63FdWkLbZxr0NeHo4fix/i2O570VqyCHD8NB3b8DsL64tt6H1WZ8IYdBMqvD6g0SmJmPM+LzpfNWhmzXRyxQhP00Hex6/j+dxbYBgULP0Zffww9hFjMQ/sxrH+d4xGzfGY9BLKxxe3zj3QI8aQff9IsLnhNe0j6/fPziT3jcnWxsvV7D8zP6dJ7x74hAQz7fhu5j87lT8+d23S6y85HGS/NRXv1z4Ew0b+gsL2xR33WvXy6pV43TOusH3xGgBmfCxZT1gPMFR4LYyaYTi2uvDeXNqhXejIlhhjn4P8PMxfS9yrb3sC80trtKi67Jrie/XdL6C3/4H+YwGqQ29UozbWNZGThfmr6/8NerWIInrXIQZN+RhPdzsvjize82nYy58zZ+IdZz3/he8Xk1/g4D8fWJsWt21Qi+duHFR1AZomjm8/xO2hF6z21urFEHMM46pb0Uf3obevw/x9EbY7JuD2/GfozHQcnxYmQLMycCz9EbdJb4PWmDs3WLNMLwC9ZwuqaXtsj71t1W+zPyw6ZnvoZRxvW4kLx5zPsN1wL9jt6L3F7SFj6B3g5oZtzFPW5x3bjznnUwBUw+bW7NIqHFBR2mUdWhO9eQcD73sSTw93pt53e9GxYeMnM+f1Z8nLL2DM829RUODAYZp0a9OC6y+3Np5fv2sfb3zzI0pBpxZNeGbsCJfFWhRz53ZEb9zKgDGP4OnhwdRHisdQXXP/E8x9z/r7Gz/6Zia+9iFTP/mKIH8/pj5c4Vgr1zFNCr56F/uEl8Gw4Yj+FX3yCG7X3o55eB/mFmums/vDU8DbB6PdpehrbyfvCevv0f2pt1AR9cDTC4+3vyP/01cxd7i2rtMOB38+/iSdZs9EGTZOzPyWjL37aPT4BNK2biNh4WISl68kpM9l9Fi9Eu1wsPe558lPKbvh9YXSKzKC6EMxDPrvL3i6ufHi4EuKjg2bvog5tw8kNj2Lj9f8SWSQL8O/tBKBI9s34rq2UXy9aT8rDpzEzVD4e3owdUgX1wbscJA0dQrhH38GNhvpc74n/+ABAu57kLxdO8lauRy/Ebfg1bUbuqAA83QaCZOsusQWFEzYx5+B1jji4kh4YoJrYy0R87FJT9Nk1tdgs5H07Xfk7NtHrQnjyNy2g7TFS6g5ZjQBA/qjCwooSE3lyMPFM0ibzv0ez0ZR2Gp402bTOo6Mn8Dpwk12XaVXg5pEH4lj0JfL8LTbePHy4n1Rhs1cyZwRvYlNz+bjDfuJDPRh+Cxrg/CRbRpyXav67IhL4cGfN3A6N58Vh2N5b91e5t/iuj3ytMPBmglPMHDO/6FsBvu/nkXqnr20f3IiiZu3cvzXRYC1yfLhH+Y6nWvY7QxZOB+A/PR0Vo29F+1wfbtTOxzsmjiJLrNnoWw2jhfWF00K64u4hYtJWL6C0D6Xcdkfq9AOB7ufLa4v/nx2Cl3n/B8oRdq27Rz7qmoHbJbnsnYtiN62m4HjX8TT3Z2pdxYPCBs26VXmTJ1g3fde/pgCR+F9r2UTru9jbYM6c/Fv/LFrH3abDT/vGky7y/X3PSH+Fyj9D1p7u7KUUhlaa59S7/UG5gGHgBpAPPCK1nq+Uuo2YLDW+qYS5YOAvUCdM8mFEsd8ge+AKCAbyAQe0lqXnF3gFINS6jlgLJAAeAM7gSe11n8WHi/ASkaceeL6o9b6rLtcVXZGQnXziqp4Y+d/KlvzJtUdQqXopKqZuXAhZa7d/deF/mF8rr6sukOonMYtqjuCStv/8CvVHUKlpWXk/XWhf5COYy6y6xjI3e76EXtVbfz8qp+950ov92xQ3SFUms9VPas7hMpr06m6I6gU88f/q+4QKk0F+FV3CJVi3HrfXxf6h1Ge//x1yEvLnXyBHtpWkZW/7qnuECqt/8tjqjuESjv25rfVHUKlJCW5aPN5F2r/1D9n7fxz9eUT06s7hEqpab/4xgMPWfhZdYdQaUbnIbJGz9+QMeSSi+r5ZXXzWbD+orvOLr4aqITSSYTC91YCZRdOs459CXxZ6r1krGWGyiufDgwp71hFMWitnwOeO0v5i/o7F0IIIYQQQgghhBBCCPG/xajuAIQQQgghhBBCCCGEEEII8c8lo+MLKaXmAA1LvT1Ra72oOuIRQgghhBBCCCGEEEKIi4KL93cU1U8SCYW01sOqOwYhhBBCCCGEEEIIIYQQ4p9GljYSQgghhBBCCCGEEEIIIUSFJJEghBBCCCGEEEIIIYQQQogKSSJBCCGEEEIIIYQQQgghhBAVkkSCEEIIIYQQQgghhBBCCCEqJJstCyGEEEIIIYQQQgghhPj7DFXdEQgXkxkJQgghhBBCCCGEEEIIIYSokCQShBBCCCGEEEIIIYQQQghRIUkkCCGEEEIIIYQQQgghhBCiQpJIEEIIIYQQQgghhBBCCCFEhWSzZSGEEEIIIYQQQgghhBB/m1Ky2fK/ncxIEEIIIYQQQgghhBBCCCFEhSSRIIQQQgghhBBCCCGEEEKICkkiQQghhBBCCCGEEEIIIYQQFZJEghBCCCGEEEIIIYQQQgghKiSJBCGEEEIIIYQQQgghhBBCVMitugMQQgghhBBCCCGEEEIIcREzVHVHIFxMZiQIIYQQQgghhBBCCCGEEKJCkkgQQgghhBBCCCGEEEIIIUSFJJEghBBCCCGEEEIIIYQQQogKKa11dccg/kLB+OEX1T+S8vWt7hAqLW/v4eoOodLsIX7VHUKl5MWkVHcIlebR59LqDqFy8vOrO4JKy1m+rrpDqDTlbqvuEColeuWh6g6h0gaunV/dIVTa6TtGV3cIlTLxtyPVHUKlDQnyru4QKu3y3pHVHUKlrLsIr4ve26OrO4RKMQ9sqe4QKm/fzuqOoNL0vj3VHUKlqBo1qjuEStv4wZLq3oA2qQAAIABJREFUDqHSOl7XtrpDqBzzonoMAIBq0ri6Q6i05FkX17Xs7nFx9UUAsF18Y5j9V2yVxf7/hsxrul18FVc18p77x0V3nV18f81CiIsuiSCEEEIIIYQQQgghhLh4uVV3AEIIIYQQQgghhBBCCCEuYuqiG2AvKklmJAghhBBCCCGEEEIIIYQQokKSSBBCCCGEEEIIIYQQQgghRIUkkSCEEEIIIYQQQgghhBBCiApJIkEIIYQQQgghhBBCCCGEEBWSRIIQQgghhBBCCCGEEEIIISrkVt0BCCGEEEIIIYQQQgghhLh4KRmu/q8n/8RCCCGEEEIIIYQQQgghhKiQJBKEEEIIIYQQQgghhBBCCFEhSSQIIYQQQgghhBBCCCGEEKJCkkgQQgghhBBCCCGEEEIIIUSFJJEghBBCCCGEEEIIIYQQQogKuVV3AEIIIYQQQgghhBBCCCEuYkpVdwTCxWRGghBCCCGEEEIIIYQQQgghKiSJBCGEEEIIIYQQQgghhBBCVEgSCUIIIYQQQgghhBBCCCGEqJAkEoQQQgghhBBCCCGEEEIIUSFJJAghhBBCCCGEEEIIIYQQokJu1R2AEEIIIYQQQgghhBBCiIuXMlR1hyBcTGYkCCGEEEIIIYQQQgghhBCiQpJIEEIIIYQQQgghhBBCCCFEhS7qpY2UUg5gB9bvcRi4FRgKDNJa31yiXAiwG6gD7AU6aa0TC4/1Bh7VWl9Zwc8IAz4D6gJ24AgwEfi6sEg9IK3wv0RgTOHP2gN4AunAB1rr6YWfN7LwfFV47B6t9bbz/S7OMK65A9W8A+Tl4fj2XTh5uGyhOpHYbrof7O7o3Zsx535uve/lgzFqHCqwJjolHvOr1yE7E9V7KEaHnoU/wAZhtXE8cwdkZ1RV2EXU4JGoxm0gPw9z7qcQc7RsoYj6GNeMseLfvx396wzr/fB6GFfeBm52MB2Yv3xV/u9fRYy2l2Af9QAYBo4Vv1Dw00zn483aYB/1AKpeJHnvTMFcv8r5A7xq4Pnqlzg2/k7+9LddFqdq3gFj+FgwDMw1S9BLvncu4OaGces4VN0oyEzH8cUrkBwP9Rtb1wmAUpgLZqK3ry3xwQa2CW+g05IxP57iktiNdl1wH/0QGAYFy36mYO43zsebt8V99IOo+lHkvfkcjrUri8MLCcP9nomo4JqgNblTJ6ATYl0SZ0laa6ZG7yT6SBxebjam9m9Pi5oBTmWy8wt45NeNHE/LwlCKPg3DGNe9BQAbTyYxLXon+xJP89qgjgxsXOvCxLx6N9FHE6yY+7amRah/mXJvrdvHT3tPkpabz6axA4reP5WezaTl2zmdl49pwiNdm3BZ/Zoui9fWoSvuYx4Gm42CxT+R/8PXTseNlu1wH/MwRoMocl99BscfK4qO2W+7F7dO3QDI++4LHL8vc1mcTjGdx7Xs9d0q9LFDAJiJceS9/PgFiTmkb2+aT30eDIMT38zi8DvvlSkTPvQqGj02Hq016bv+ZPtd9xUds/n40POPlcQtWMTux590ebxaa178+CuiN27F08OdaY/cTctGDcuUy8sv4PkPv2D9jt0YhuLhUTcysPsl/LhkFa9+PpOw4CAARl41gOsH9nFpzG6XdMfzwYlgGOT/8iO5Mz53Ou5+w624X3ktOBzo1BSyXnoGHReDrX1nvO6fUFTOqNeQrMmPUfD7itI/4oK69bP3aX3lINLjE3i+dddqjeWM0L59aD1tCsqwcfSbmRx4u+x1XGvoVTSd+Chaa07v3MXmwuu4xbNPUXPA5SjDIGHlKnY+8fQFidlo1wX3Ox4urC/mUzCnVH3Roi3uox+y6os3ni3n3vc4KqTw3vfioxfk3ldSUJ/eNH5xCtgMYr6ZxbF33y9TJvTqq2g4YRxoTcauP/nznvsvaIxaa15852Oi123A08ODaU+Mo2WTRk5lMrKyuOWBx4pexyYkcnX/Pkx64C4Afl0ezXvTZ6CUomlUQ15/ZqLLY5466xeid+zFy93O1DuG06J+7QrL3/fO1xxPSOan5x8CYM/xGCZ/NY+s3DxqhwTwytgb8PHydG28yzYTffAUXnYbU4d0pUV4kFOZ7PwCHpm7muOp6VZ7qFFtxvVuV3T8193HeH/1DhTQrGYgr17dzSWxGlfdhmraHvJzccz+EE4dKVuodkNs198Dbu7ovVsw539pndv/BlSLjqA1OuM05uwPIT0FABXZAuPKUWCzWW3sT6quvawGjkA1bm31meZ9BrHHyhaKqI9x9X/Abkfv34FeVNhXCauLccWtYPeEtETMHz+BvBzrWM06VszuXqA15qdTwFFQZXH79+lN/eefQ9lsxM+YRcx7HzgdD7nxeuo98yR5MVa9Fff5dBJmflt03ObjQ5vo5SQvXMTRSa6rk1XzDhjX3Wn1n/5YXHH/qV4j69/285cL+09NsN18pj47039aY73qfTVGt4GgwFy9CL3yp6qNuUVHjOvvBFUY8+LZZWO+bTyqbmHMn71kxXxGYCi2pz+0Yl76I9Ssje0/JdqcIeGYP3+DXjGvSuOGi68vAmDv2gOfcY+jDBvZP/1A9lefOh33HHYDXtfdDKaJzs4ifdpzOA4fRPn54/fSW9ibtyLnl7lkvPaiS+Ms6WJrd7p17obn/Y+BzSD/lznkzvrCOd7rb8F9yDAr3rQUsl55Dh0XA4Df0k2Yhw8AYMbFkPXUwy6NVYj/JRd1IgHI1lq3A1BKfQncB7wLvK6UqqG1ziosdx0wX2udq1Sl1+uaAizRWr9d+HPaaK13AGd+7nTgZ63194WvGwAHtdbtC19HAj8qpZTW+gushMdlWusUpdRg4BOgy9/67UtRzTpASASOafdDvcbYht+J450nypSzDb8Tx/99CMf2Y4x5EtWsPXrPFox+w9D7d2Aun4PqOwyj7zDMX75Br5yHY6XVYFAtOqF6XemSJAKN26CCwjDfmQh1ojCuGIX56fNlihlX3oY5fzqcOIgxchy6UWs4sAOj/w2YK+fCgR3QuA1G/xsxp79U9XECKAP76IfJmzoenZSAx4sf49i0Gn2yOPGhE+PJ+2gablfcVO5H2K//D449210TX4k4jevvxvH+05CahG3CGzh2rIPY48VFLh0AWRk4ptyF6tATY+jtmF+8AqeO4Xj1ETBN8AvE9vg7OHaut14DqvdV6LgT4FnDNbEbBu5jxpE75RF0cjyeL32KY+Pv6BNHioroxDhy35+K/eqby5zu/sBT5P/wJeb2jeDpVRS3q0UfjedoaiYLR/Vje2wKk1ds57sbe5UpN7p9I7rUDSHPYXLHnD+IPhJHrwZhRPh6MbV/O77YfPCCxAsQfSzBinlEL7bHpTI5ehffDS/bWe9TP5SRreoxaGa00/sfbzrIoKhwbmpVnwPJ6dy9YJPrGu+Ggftd48l55iF0Ujyer39Owfrf0MePFBXRCbHkvv089mtGOp1q69QNW1RTsh+6Dex2PKe+j2PTGsjOwqXO81omL5ecCaNdG2NphkGLl6ey4bqbyDkVw6VLFhC/cBGZ+/YXFakR2ZDIhx5g7ZChFKSl4R4S7PQRjZ94jOQ16y5YyNEbt3L0VCyL/vsG2/YeYPL7n/N/b5a9h3z03VyCA/xZ9N83ME2TtPTi+9ngXl155p4L9F0bBp6PTCJz3J3ohDh8PplF/u8rMY8eKiri2L+HjLE3Q24O7kNvwPOeR8h+7jEcWzaQ8Z8bAFC+fvjM+oWCDWsuTNxnsWb6DFa+9wm3f/VxdYdiMQzavDKVNcNvJPtUDL2W/krswsVk7N1XVMQ7siGNH36A3wdfTX6J6ziwcyeCunRmZc++APRYMI/g7peStNrF37Nh4D52PLlTHrbquJc/xbGhVH2REEfuey+e5d73Feb2DRf03lfEMGjy8otsvf5mck/F0GnxAhIXLSarRN3h1bAh9R+6n81XXkNBWhr2UnXHhRC9biNHT5xk0YxP2fbnXia/8R7/99FbTmV8atRg7mfFiadrxz5I/17WvfHIiZN8MuP/mPn+a/j7+pKUkur6mHfs42hcIgunjmP7oeNM/vonvnvqnnLLLtm0ixqe7k7vPTN9DhNuGEznpg354beNfL7wNx4c1t918R6K4WhyOgvvvJLtp5KYvHgj340aUKbc6Eua0aV+GHkOB3d8u4Log6foFVWLI8np/HftLmbc0h9/T3eSMnNcEqdq2s7qP732MNRthO2aMTg+eKpMOds1/8Hxwydw/ADG6MdRTdqh923FjJ4PS/7P+qxugzD6XYs59zPwrIEx9A4cn0+DtCTw9qu6oBu1RgWHYb73BNSOtPpMn71Qppgx5FbMn6fDyUMYIx4p7jNdeTvm0u/g6D5Uux6oboPRK+dY/YZhY63BXHHHwcsbTEfVxW0YNJj2AntuGEFeTAwtF/5M6uIlZJeoHwCS5s2vMElQZ+KjnF7r4raFMjBuuAfHe08V9p/eLL//lJ2JY/KdqI69SvSfjuJ45eHi/tMT7+LYuc5K3nQbiOPVceDIx7h3CnrnBkiMqbqYb7wHxztPQWoitolv4ti+1jnmbgOtPt9zY62Yh43G/OzlouPG8DHoPzcVf2b8SRzTHij6fNvUr9Db/qiaeEu5qPoiAIaB74QnSX1gLGZ8HIHTvyPvtxU4Dhf333IX/0LOHKtucO/ZB5+HHiPt4bvQeXlkfvwubpGNcItq7LoYy4n5omp3GgaeDz1B5oS7rXg/mkH+H6vKxnv3SCveq6/H866HyZ5SmNTPyyVj7I2ujVGI/1H/pqWN1gC1tdangVXAVSWO3QTM+pufGwGcOPNCa12pJ79a60PAOODBwtd/aK1TCg+vxZolUSVUq87oTYWj3o/ttxp/vs4jofENsB78HrMabHrTKlSrS6zzW3ZGb7CyynrDiqL3nX5G+x7oLb9XVcjOn920PXrbauvFiYNWnD6lRiL4+IOHl3Uc0NtWWwkUAK1RHl7WZ3l4odNTcBWjUXN07El0fAw4CnCsWY6tUw+nMjox1hpFrMt24lXDJuAfaHX0Xal+Y3RiDCTFgaMAc1M0qrVz3kq17oK5zhqVrbeuRjVpax3Izy1+AGF3B62LTwoItq6XNYtdFrr1HZ9Ax5+CggIKVi/F1rnUd5wQiz56sMyDElWnARg2K4kAkJMNebkui7Wk5YdiGdqsDkop2kYEkZ6bT0Kpzq+X3Y0udUMAcLcZtAj1Jy7DKlPbrwZNQ/wxKp/0/PsxH4lnaNPaVszhgaTnFpSJGaBteCCh3uWMXlSQkW+NVsvIK6BmDQ+XxWo0boEZcwIdZ10Xjt+W4tbFOVGj42PRRw6W+dsz6jbEsWur1SnOzcE8chBbh0tdFmvRzz2Pa7m6BHRoT9bhI2QfPYbOzyd2zjzCBg90KlPn1pEc+3w6BWlpAOQlJhUd82vbGo+aoSStKDUTy4WWrd3E0L49UUrRrlljTmdmEZ9c9j7w45KV3HnD1QAYhkGgfxU+3KkEW/NWmCePoWNOQkEB+csWYu/hPAPCsWUD5Fp/iwV/bscIDSvzOW69+1Ow7veictXpwG9/kFXOd15dAju0J/PwEbIKr+OTc+YRXuo6rn/rSA5/Np380tex1hgenhju7tg8PDDsdnITEl0ec1F9UVjHFfy+DFvnnk5liuqLkvdlCu99Nltx2+IC3vvO8OvQnuzDR8gp/M7j5swjZJDzd17r1hGcLFF35JeoOy6UZb+vZejAflZ90bIZpzMyiU9KrrD84eMnSE5JpVObVgDMnr+QEcOuxN/XF4DgwIAKz60qy7fuZmi39ta9Oqoe6Vk5JKSeLlMuMyeXLxev5q4rneuTI3GJdGrSAIBuLRuxeNMu18a7/wRDWzWw4q0dQnpuHgkZ2U5lvOxudKlv1WvuNhstwgKJS7eS+99vO8CIDk3wL0yIBJfX/qgCqkUn9ObCh5LHD4BXjfL7Tx5e1nFAb45GtexkHcst8Tu5F7d/VLvu6F3rrSQCQGbZf6u/HXPT9sUPdE8eAo+z9JlOWg/d9LY/rFkXAMFhcNRKqOpDu1DNO1rvR7W0BgnFFT58zs4sU8+cD5/27cg5fITcY1b9kDz3JwIHlk0uVaRGm9bYQ0NJWxX914XPR4Mmzv2nzdGoNs6z7FSbrsX9py2/o5qevf+kwuugj+wtOq4P7ES1q8IZNg2aoBNOQVJscZ+vbemYu2CuLSdmsMomxZW/GgCgmrW1kh7JCVUXcwkXU18EwK1FaxwnjmOeOgEF+eQsWYB7L+c6V2dmFofn5VX8t5STTcG2zei8PJfGWNrF1u60NWuFeep4cbzLF2Hv3ts53q0b/zJeIUTV+1ckEpRSNqAfcGZ+4Cys5AFKqVpAE2D53/z494HPlFIrlFJPFn5eZW0GmpXz/n+AX/9mXGX5B6FTizu5Oi0J/EuN8vIPRqcWd9h0ahL4F04z9g2A9MIRVempZRvRdndUs3bOy9tUIeUXiD5dohN3OgX8Ap0L+QVCiTL6dAqqsIy5cCZqwI0Yj7yOGnATemmpKahVKTAEnVQ8FVQnJaACQ87tXKWw33Iv+TM+dFFwJX5UQDCklHjwkZpkvVeyjH8wnLluTNPqNJwZNVW/CbZJ72N74l3M7z4oahgb147FnPeFSx96qqBQdGKp7zgo9JzONSLqQlY67hNexPPVz7Hfei8YF6a6i8/IIdzXq+h1mI9XUZKgPKdz81l5OI6udc/x+nGB+Mwcwn2KG+VhPp7EZZ77w6f7OzVi/r5T9PlqOXf/spEne7ZwRZgAqOBS10ViPCr43K4L8/B+bB26Wh19X39srTugQl077RnO71oGwN0dj5c/xWPqx2UeKLqKR0Q42adOFb3OORWDR0SEUxnvqEhqREXS5Zd5dF04n5C+va0DStFsyrPsecY1S55VJC4phYjQ4mUzwkOCiEtyfqh9OsPq1L399WyufXASD019i8SUtKLjS1Zv4Or7JvLg1LeISXDtw00VEoaOjyt6bSbEnfV6dL9imNVxK/1+v8HkL626psS/iWdEONknTxa9zjkVg1dEuFMZ70ZR+ERF0mPBPHos+pnQvlanOmXjJhJ/X83AP7cy4M+txC9fSUapUbOuUKa+SD73Os6oVRcyM3CfMBXPV7/APuq+C3bvO8MjPJyck8V1R25MDB6lvnOvwrqjw89z6bBgPkF9el/QGAHiEhOJqFn8vYaHhhB3lkTRgmXRDO7bizMzm4+cOMmR4ye5+b7x3HjPI/y2bqPLY45POU14UPHD4rBAP+LKSSS8O3cptw/sjpe73en9RrXCWLZlNwCLNuwkNjmtzLlVGm9GNuF+3sXx+tYoShKU53ROHisPnKRrA+t6OZKSzpHk04z8Zgk3fbWY3w6dqvDc8+IX5Nw3SksGv6CyZdKSKyxjDLgR2+PvY7TrgXlmdkJIBHh5Y7vzGWz3T0V1qLr7t/It1WdKTwbfUn0m30CrL3Um5vRk1JkyCaegMKmgWnQu+l1UcDigMUaOwxj7LKrboCqLGcA9Ipy8Em2LvJgY7KXqB4CgKwbTevliGn/6Ee61CtseSlH/uac5NrnsTMOqpvyDIaXEA/OUROu9isqYpjW7tWT/6cn3sU16D/Nbq/+kTx1FNWoJ3r5g98Bo2enc+47nEnPpPl95MQdUELOHJ0b/6zAXOC/T63Rux16YG103OORi6osAGDXDcMQVzyYx4+OwlfMQ2/O6mwn64Ve87x9HxhtTXRrTX7nY2p0qpCY6vnhpRjMhzlq2sQLuQ0rF6+6O90cz8H7/K9y6u3apUlGKUvJfZf67CF3siQQvpdRWIBYIA5YUvv8L0F0p5QfcAPygtT4zL7O8YRUVDrXQWi8CIoH/YiUDtiilKvEECIAyV4dSqg9WIqHcBVWVUncqpTYqpTb+d7vr1vk/q9Ij3Vp2Qh/e65pljaqA6twXc+EszDfHoxfNxBh6R3WHVC5b/2swt65z2YiOKnV0H46p9+F4dRzGgOvBzY5q2Rky0uD4hVt6p9JsNoxmbcn/8n1yJo5FhdXC1ntwdUdVRoFp8ujCTdzStiF1/b3/+oR/qF8OxHBN0zqsGNWXj67oxMRl2zCrcARbVXFsXY9j4x94vvIJnhOmYO7Z+Y+ZAXA2OfdcR+7EMeS9NRn76AdRYa7fN+NcKDcb3pENWT90ONvuvJeWb76Gm58f9e64nYSly8mNqaLp+lXI4XAQm5hM++ZN+PGdqbRr3phXPrP22enTpQPLvnibn95/mW7tW/P4G65P9p4re/8rsDVtSe6s6U7vq+AQjMhGFKx3zVID/wuUzYZ3VCSrrx7O5rH30O6tV3Hz88O7YQN8mzRmcesOLG7VnpCe3QnqWiUrUbqOYcNo3pb8r94jZ+IY697XZ0h1R1WGsrnhFdmQLddcx59330vTN6zv/J9swfJVXNHvsqLXBQ4HR0+c4qu3X+b1Zyby9KvvcDq9+tvHu4+d4nh8Mpd3aFnm2Aujr+XbFeu4bsr7ZObkYnezVUOE5SswTR796Q9u6diEugE+ADhMzdGUDKbf3I/Xru7Gsws3cDrnwo7gPVfm4u9wvHQf5tbfMS4tnIFj2FC1I3F88TKOz6dh9L0WQiLO/kEXiPnT5xid+mCMeQbcPYv3QDAMVN3GmD9+gvnFNGvWd8PmFzS21MVL2Nq5Gzv6DiBt1W9EvvMmAGGjR5G6bHnR3gn/aEf34XjxPhyvPFLUfyLuBOaS77Hd9zy2+yajTxz6x7RBjStGYi6fW/EIc5sbqk0X9GbXrEpQFf6pfZGc72eRPHwwme+9SY3Rd1d3OOfsYmt32i8fgq1pC3K/+7LovfSbhpB590iyXngCr/snYNSqsoVAhPif96/YI0EpVQNYhLVHwjta62yl1EJgGNbMhHElzkkCArE2RgYIKvH/y6W1TgZmAjOVUj8DvYAfKhFne6wNmAFQSrUBPgUGa63LHfKotf4Ea/8ECsYPr/AuqLoPwuhyuXXO8QOogJCirIjyDy6eTntGmvOIdBUQDGdG2JyZhXDmfzOcRyqpdj3QW347l9/3nKnO/VAdrY6ZPnkY5RdUnNXxcx5JAxTOUigeAWTNYijc0Kxt96KNl/WuDairXZhISEm0NvE9E0dwKDrl3JY8MBq3xGjWBlv/oShPL7DZ0TnZFHz7SZWHqVOTnEe7BDjPSIHCmSsBIZCaZI1c9PIuO/067gQ6Nxsi6qMim6NaXYKtRUdryq5nDYxR4zC/eqNqY09OcBp1oIJD0eeYfNFJCZhH9ltLyQCO9b9hNGmJY/kvVRrjGTO3HWb2LmsqcOuwAGLTi6e5x2VkE+ZT/nT8Z5dvo36AN6PaR7kkrrOZufMos/+0pq63rulPbIlZE3EZOYR5n/uU4B92n+CTK60p/u3CA8krMEnJziPYBdOKdVKp6yKkJjrp3JNy+bO/JH+21cj0GD8ZfbKczQmr2Plcy9b5Vt2i409h7tqC0bAJjjgXjcwslBsTi1et4oSFZ62IMomBnFMxpG3agi4oIPvYcbIOHqRGVEMCOncksGsX6o2+DZu3N4a7HUdmJvuer/qRWDN+XszshdaSfK2bRBKTUDxCMzYxmbBg5xGaAX6+eHl4MKBbZwAG9ejKD4tXAhDo51tU7voBfXjt84pH5lUFnRiHqlk8es0IDUMnxJcpZ+vYBY9RY8l84A7Iz3c6Zu8zkILo5VW6Eea/SU5MLF61izej9awVQXaph1A5p2JI2bwZXVBA1rHjZBw8hE9UQ4K7dyNl42YcmdYI6vilywnq3JFkF6/NXaa+CDr3Oq7o3hd35t4XjdG4JVW4wvlfyo2NxbN2cd3hERFBbqnvPDcmhtObrO8859hxsg8ewiuyIelbt7k0thlz5jP750UAtG7amJj44u81NiGRsNDyRwfvOXCIAoeDVk2L17IODw2hTfOm2N3cqBMRToO6tTl64hStmzep0phnLl/L7GhrqarWDeo4zSKISzlNWIBzAmbbwePsPHKSyx97FYdpknQ6k9te+ZQvHxtDZEQon4639oA5EptI9I69VRorwMzN+5i9zRpo0jo8mNjTmYA1/iouPYsw3/L31Xp24XrqB/kyqnPxBO4w3xq0iQjGbjOoE+BD/SBfjqak0zri/PfUUF0HYFxi7X+iTxxEBQSjC1d0Uf5BTrOfATidbL3PWcpgLRdjjH4cln5vta+z0q2lbPJz0Yf3oCLqWUvm/J2YO/VFdbCWctSnSvWZfIOKNnguku48s1v5BhUv+5oUizmjsN0eFIZq3Kbw90xBH9tXNGhM79+BCq+PPrybqpAXE4t7ibaFe0QE+aXqh4IS+43Ez5hF3acnAeDTsSO+XS4h7PZRGDWstoWZmcnxF6t+PzydloQKLDFuMDDE+vcsVYbA0BL9pxoV959q1YdjB9BrluBYY417NK4a5bSSwHnHXLrPV17MqeXHrBo0QbXvDsPuAC9vlNaY+XnoVT8DhYMJjx8sXrmgilysfREonIEQVpwYNGqG4UiIq7B87pIF+Ex03ebg5+Jia3fqxHhUzeIZS0ZomNOMzaJ4O3TB45YxZD78H6d4z5TVMScp2LoRo1EzaykqIcR5u9hnJABQuKnyg8B4pdSZ5MgsrARCGNb+CWesBG4FziyJdAtQ4XbzSqm+hYkKlFK+QBRwzk+eCjdffg1rE2iUUvWAH4Fbtdb7Kj7z3OjVC3G88SiONx5F71xf9FCeeo0hJ6vsDT891Xq/ntUZUh0vszZ6AvSujajO1rQv1bkPeleJ9fs9a6CiWji/VwX0hmWYHz2D+dEz6D2bUW27WwfqRFlrjpZKZpCRZr1fx3rwqtp2R+/dUvy7NSjsgDRsbq3z6CLmwT2o8Dqo0HCwuWG7tC+OTavP6dz8918g94EbyH3wJvK/+RDHb4tckkQA4Nh+VGgtay1UmxtGx17oHeudiugd6zC69AOw1nPdV7gNSHBY8ZIIgaGosDqQHI85/yscz4zG8dwYzC9eQe/bXuWXyveEAAAgAElEQVRJBADzwB5URF1UzQhwc8Ot++U4Npzbd2we3I3y9gU/a3kuW6sOThtVVrURbRsyZ0Rv5ozoTb/ICObtOYHWmm0xyfh62Mtdy/PtNbvJyC3giV6tXBbX2YxoVZ85N/Rgzg096NcwjHl7T1oxx6bg6+FW/vqjFYjw8WTtCauzcjAlg1yHSZCX+1+c9feY+3dj1KqLCrOuC1vPyylYd44JTsMAX+uhi2oQhdEgCseW9Wc/pwqcz7WMt681kg3A1x+jWWtMF17LZ6Rt2UqNyIZ41auLstsJHzaU+IXOe6LEL1hIUHdrjwl7UBA1oqLIPnKM7Xffz6p2nVnVoQt7n53Cye++d0kSAWDklQOY+9405r43jX5dOzFv+W9ordm6Zz++3l7UDHJOJCil6NOlPet3WA9F1mzdSVRd60Fzyf0Ulq/bVPS+qzj27MJWpz4qoja4uWHvN4j81SudyhiNm+H16DNkPfEgOrXsQyt7v8HkLZNljSqSumUr3pENqVF4HdceNpS4Xxc5lYlZsJCQ7tY61e5BQfhERZJ55BjZJ04S3L0rymZDubkR3P1S0i/A0kZWfVGnuL7o0Q/HxnMbBWrd+3xK3Ps6uvTeV570LVvximyIZ+F3HjZsKImLnOuOxAULCSj8zu1BgXhFRZJ91PVJ3ZHDrmLuZ+8x97P36NfzUuYtWmbVF7v24OvtTc3goHLP+2XZKq7o19vpvct7XMr6rTsASElN48jxk9SpVXaJlvM1om9X5jz3AHOee4B+7Zsz748t1r364DF8a3gQWiqRcFOfLqx643GWvjKBbx6/kwZhwXz52BgAkk5bD4dN0+Sjn1dww2Vl90I773g7NGHO6MH/z959h0dRLW4c/57ZJCQQWuhNeu9NUKmiiBUEe6+oV65XERU7NlTk2hXFAjYUUSkKKp2oIIp0pPcWegkEUmbO749ZUkgWjWZdcn/v53l8HnfnzO67y2R2zpzG2BvPpVu9KoxfusHPu3W3fz0UH5drn1cSF3MoNZ0Hu7XK8Xy3ulX4dbN/Lb8vJZWNe5MzRyv8XfbnybivDsR9daBf/wneoKdandD1p9Qj/nbAtOqE/T04nVWZrH9307iNP089+NtrNPCvPaJjMNXqYHdu5a+y86bjDR+EN3wQduUCTPPg/PpVakFqSug6U5Vafrbmp2fVmYoeazg3mI4XYn+b6b/H2qWY8lUhKgaMg6leH7u74DouHFq4iNhaNSgSPD8k9LqIfZOn5CgTXT6rIbX0Od05utpfl2LtnXexsE17FrY9nU1PPs2uMV+GpREB8Behzl5/atUJuzhnI3KO+lPLDqHrTxWrwrHpcI+tY1G6HKb5adiCnCpo4ypM+So563zHZ148F6d9tswr/czuiw/gPnoT7qM3YWeMx/v+88xGBADTphP214Kf1qiw1kUAMpYvJVDtFJxKVSAqmtizzyMtMectpUC1UzL/P+aMzrib815/4p9S2K473RXLCFQ5BVOxsp/3zHNIn53zOHTq1Ceu/yOkPHw3dn+2xtT44hDt159MiVIEmrTIsUiziPw9hX1EQiZr7QJjzGLgSuAj/GmOPgTeszbHuLangGHGmEX4Uw59B3x8gpduDbxujMnAb3h511r7R3fTaxtjFgCxQDL+KImRwW2PAWWAN4PzrGZYa9v8+U8aml0+H9OwFYEH34D0VNzP3sjcFug/FPfFAQC4X75D4Ip+EB2DXbEAu2I+AN70r3Cuuxfn1G7YfbvwPvxv5v6maTvsykXhXbRv9SJs3WY4dw2B9FS88e9lbnJufxLvrcf8nBM/xOl1C0TFYNcshtX+RZD39QicHlf7F28Z6XhfjwhfVs8lfeTLxDw4FBwHd+Yk7JYNRF1yE976FXi/zcbUakCR/k9BseIEWp2OvfRGUu+7IXyZ8szp4Y15i8C/ngDj4P08FZI24Zx3NXbTauzSX7BzpmCu60/gsbch5RDuiCEAmFqNcM6+xO9xYC3e528V6EJxf5zdJe3dFynyyIvgOGRMn4jdsp7oy2/GW7sCd95POLUbEHP/YEyx4gTanIG9/GaO3nMteB5pH75O7OMvAwZv3Uoypk74w7csCJ1qlCdxww56fDCN2OgAz5zVMnPbxaNmMvaqLiQlH+HtX1dTq3Q8fT71L4iublaTS5pUZ8mOfdz1za8cTE1nxvokXp+7kq+vCe+8jp1OKUfixl30GDWL2KgAz3RtlpX58x8Ze5m/MPDQOSuYuHobRzNcun44nT4Nq9GvbV3uP70Bj89ayoeLNwAw+MymmfNIFzjPJe3t/xI76GX/uJj6DXbzeqKvuhVvzXLcX37EqdOQIg89h4kvTlTbDtirbuFIv6shEEXcs28BYI8cJvXFJ/yFl8PtbxzLTtXqxPS9z59qzhjSx378j9wYtK7L7wMfps2YURgnwJZRn3Fo5SrqDLyPAwsXseu7yeyePpOyXTvT4aeZWNdl5aCnSN8XuYV2O7dtQeK8hXS/5R5iixRh8D23ZW7r1e9Bxr3+LAD33nglDwwdxuDhH5JQsgSD7/bLfTThe2bM/Y1AIEDJ+HiezbZ/WLguR14eTLGhw8AJkD5pHN6GtRS56V+4K38n46eZxN3RHxNXlKJPDAXA25lEyoN3AWAqVvZ7wC0M/9zsf9bNo96nXpcOxJctw7Obl/P144OZ/f5HEctjXZclDzxE+zGfYgIBNo36jOSVq6g/8D72L1zEju8ms2v6DMp37UzX2bOwrsuyx/3jeNuEbyjbsQNdfpwB1rJz2gx2fD/lj9/07/Jc0t59iSKPvghOgIzpwXPcFbfgrVmBO+9H/3zxwLNZ54srbuHo3df4v30fvEHsoFf4p3/7jrGuy6qBj9B89ChMwGH7qNGkrFxFzQcGcHDhIvZ8P4W9M2aS0LUzp/4wA+u6rH3iKTL+4XNH5/ZtSfz5V7pfdbN/vhh4T+a2Xjf3Y9x7r2c+/nbGDwx//okc+3c4tTU//jqf86+7DcdxuO+Om8O+cHunZvVJXLKKHg++SGxMNM/c1Dtz28WDXmPsoH+fcP9Jcxczaoa/ztnZrRrTu0Pr8OatVZnEtdvpMfwb/9rivKypwS4e8S1jbzyXpIMpvD1nGbUSStBn5HcAXN2qHpc0r02HmpWYvT6JC96dSMAYBnRpQam4MIx0XLkA06AFgfte8etPY97K3Ba46zncVwcC4I57n8Cld/j1p5ULsSsXAuCceyWmbGWwHnb/bryx7/o779qGXbWQwH+G+NfRv06HHQXUG3b1YmydZjj9noP0NLwJ72ducvr6jQ0A3qSP/aleo2Kwa5bAGr/xyzRph2kbHJGxYj52YbCx8mgK9ufvcW55FLD+PsF6VoFwXTY89Cj1P/0YEwiw69PRHFm5iir338vhhYvZP3kKFW+5kVLnnI3NcHH372ftf/r/8esWNM/D+/wtAnc+Gaw/TfHrT+cH609LfsHOnoy57l4Cjw+Hw4dwRzwPBOtP3S8B1wXr4Y0elll/CtzykN9BxHX9etWRwydKkf/Mo4cR6PcUOA7enCmwfRPOBddgN67GLpnrZ75hAIFB70BKMu57Q/74dWOKYBq0xBv1+h+X/RsKVV0EwHU5NPQZSr46HOM4HP16LO76tRTt24+M5ctI+2EGsZdeRUzb0yAjAy/5IMlPPJS5e8LYyZhi8ZjoaGI6n8mBu/rirg/ztMGF7brTczny6nMUGzIMHIf0b8f7eW+8w887exZxt9/j5x30gr/Lju2kPHI3geq1iOv/CFgPjEPqp++rIUGkABl7EswdJyd2oqmNTkamePE/LnSSSVsZoXUo/qLosif3XMJ5SdseuRuMf1WRrqdFOkL+HDf8tDA4Oj2804SEg4k5eeaV/jMSZxa+C+dzfv460hHy7eBNN0Y6Qr488MOGSEfIt/MSCt9aMmd1qRXpCPkytxAeF10WJ0Y6Qr54axZEOkL+rVoa6QT5ZletiHSEfDFF85726WQ2781/oHG1gLW+pHmkI+SPV6huAwBg6tX940Inmb2fFq5jOaZI4aqLABAofJOhlJyxsHCuhBthRy7vVPhOXBEUNzqx0B1n/zMjEkREREREREREREQkApxCd19c8kkNCUHGmBuB/xz39E/W2jsjkUdERERERERERERE5GSghoQga+0IIIyT6ouIiIiIiIiIiIiIFD6Fb6IyERERERERERERERH5x6ghQUREREREREREREREQlJDgoiIiIiIiIiIiIiIhKQ1EkRERERERERERETkLzPGRDqChJlGJIiIiIiIiIiIiIiISEhqSBARERERERERERERkZDUkCAiIiIiIiIiIiIiIiGpIUFEREREREREREREREJSQ4KIiIiIiIiIiIiIiIQUFekAIiIiIiIiIiIiIlKIOSbSCSTMNCJBRERERERERERERERCUkOCiIiIiIiIiIiIiIiEpIYEEREREREREREREREJSQ0JIiIiIiIiIiIiIiISkhoSREREREREREREREQkpKhIBxARERERERERERGRQsyYSCeQMNOIBBERERERERERERERCUkNCSIiIiIiIiIiIiIiEpIaEkREREREREREREREJCStkVAImIoVIx0hX+zBg5GOkG/uwaORjpAv7sGjxLVrHOkY+RITHx/pCPmXnh7pBPli166NdIR8K9KoeqQj5F9MTKQT5MuCib9HOkK+nVOybKQj5Fv8hR0jHSFfzlu2K9IR8m3S3sORjpBvtRdsj3SEfNmb4UY6Qr6ZEoXrfGHHfRbpCPnm7twX6Qj5FtWsYaQj5E/VGpFOkG+f7voy0hHyrU2TJpGOkD9u4Tsn2+XLIx0h3xKu6RHpCPkTHR3pBPk27qGRkY6Qb30iHUDkJKURCSKFUGFrRBAREREREREREZHCSyMSREREREREREREROQvM8ZEOoKEmUYkiIiIiIiIiIiIiIhISGpIEBERERERERERERGRkNSQICIiIiIiIiIiIiIiIakhQUREREREREREREREQlJDgoiIiIiIiIiIiIiIhBQV6QAiIiIiIiIiIiIiUog5JtIJJMw0IkFEREREREREREREREJSQ4KIiIiIiIiIiIiIiISkhgQREREREREREREREQlJDQkiIiIiIiIiIiIiIhKSGhJERERERERERERERCSkqEgHEBEREREREREREZHCyxgT6QgSZhqRICIiIiIiIiIiIiIiIakhQUREREREREREREREQlJDgoiIiIiIiIiIiIiIhKSGBBERERERERERERERCUkNCSIiIiIiIiIiIiIiElJUpAOIiIiIiIiIiIiISCHmmEgnkDDTiAQREREREREREREREQlJDQkiIiIiIiIiIiIiIhKSpjb6H2bOvBRTqzFkpOFN+gh2bs5dpsOFmMbtILYo3iv9s55v3B7TpRccOgCAnT8Lu2R2gWd0zrsWU685pKfifjUctm/MXahyDQK9+0JUDHbVIv+zHMvZ7mycdmeB9bArF+FN/gwCAZyLbsJUqQnW4k38CLthRYFnzy7Quj1F+vYHxyF98gTSx3yYY3t0ryuJPqcn1s3AHthP6stPY3clhTVTduacqzB1m0J6Gt749yBpU+5ClarjXHQzREdjVy/Bfj/Kf75CNZzzr4XoWDiwG++r4ZB2FNOkPeb0Hln7V6iKN/wJ2JH7OMsv58LrMfVbQFoa7hfDYNuG3IUq1yRw6e0QHYNduRDv6w9yfuYO5xM4/xoynuoLKcmYFmfgdLoIDJB6FHdciO/hb7LWMvin5SRu3EVcVIDBZzalUbmSucq9PHcVE1Zu5UBqOr/d2j3z+W3JR3ho+mIOpqXjeXBP+3p0rl6+wHOahq1w+twKjoM3Zwp2yhc5C0RF4VzbH1OtNhxOxh0xBPbuxNRvgXPR9RAVBRkZeONHYFcthiJxBO5+Lmv/UmWxv87A++rdAsvsHxct/fPFmBDHRZWaBC69wz9frFyQeVw4Z1+GadQarMUeOog3Zhgk74O4YjiX3IZJqAAZ6bhfvAU7thRc5vOuwdQNnuPGvpP3Oa5SDQK9b/Uzr16EN+ljf99L78SUreiXiS0KR1Nwhz2atV/JMgT6PYs3cyz2p28LLPMxtc7uxllDB+MEAiwc+RE/D30lx/YS1apwwTtvUqRkSZxAgJmPPsHa76fiREVx3rBXqNCiOU5UFEs/+Yw5Q18u8HzHs9byzCtvkjjnV2Jji/DsQwNoXL9ujjKHUlK45l9Zv3VJu3ZzUfduPPSfO9iWtJOBz7xA8qFDuJ7HvbffTOfTTg177sLwW51duTO70vTZJzFOgI0fj2LNK6/nKlO554XUf2AA1loOLl3G/NvuBKDR449QvvtZGMdh18xZLH3w0Vz7/tOufe8Nml7Qg+Sdu3iqaftIxwEgvlMnKj72GDgO+z//nN1vvZVnueI9enDKm2+ytmdPji5ZAkCRBg2o/PTTOPHxYC3revbEpqWFNW+Fbl1pPvgpTCDA+o8+YdVxx0SzZ56gXIczAAjExVGkXFm+rlkfgDPGjCKhTWv2/PwLs6+8Nqw5s7PW8syQ/zLrp9nExsby3BOP0bhhg1zlJn0/hWHvjcBzXbp06sB9//k3ACM++oQxYycQiAqQULoUgx9/lCqVK4Ulq9PzJkzDlv410ejXYev63IWq1CJwxZ3+NdHyBXjj3wfANDsNp/tlUL4K7qsPwpa1WftUqk6gT1//98V6uK8MhIz0AsttmrYl6po7MY6DO2sS7jef5dxevylRV9+JqVaLjDefxvs1MXNb9IBnMbUb4a1eSsaLDxdYpj+V+8xLMDWD5+RvP4Kdua8JTIcLMY1O9c/Jr96b9XzjdpjO2c7JC2Zhl8wJa15rLYO/nUPi6s3ERUcxuFdnGlUum6tc34++ZVdyChmeR+vqFXn0/DMIOA4vfD+Xmas2Eh0IUK10cZ7p1ZkScUXClrfBOd3o/dLzmECAn9/7kGlDXsqxvfQp1bjy3TeIL1eGlL37+Oi6vhzYug2AUtWqcsU7r1G6ahWstQy/4FL2biz4a/njWWsZPHMxiet3EBcdYHD31jSqUCpHmSPpGdwz8Rc27z+MYwxda1Wkf8cmAHy2aD2fLlqH4xiKRQcYdFZL6pQpEf7MiUtJ3LDDr4+c3ZJG5fPI/O08Nh9I8TPXrED/MxoBMG/rHp5NXMqq3QcZ2qM159StXOAZTcNWOJf09esisyeHroucUsevi7z/POzdCdXrEbiy37FXwZs0CrvY/zsLPPEepB4BzwPPxR1yT4HnPsZay+AflpG4caf/HXdrQaPyedT55qxgwsotfp3vtnMzn996MIVHpi9i35E0ShaJ5vnuLakYHxe2vJmZ/8axPPK31XyxdCNRjqF0XBGe7t6KKiWKhi1vYby+EPn/IOINCcaYCsBLQHtgH5AGDLHWjg1ufxm4FKhmrfWCz90AvABsBaKB5cB11toUY4wBHgauB2ywTD9r7bLgvhuA5OC2fcH98rizk5nvYeAqwAU84DZgIFATiAfKAceu6P8FDAYqAalADDAVeMRau98YUw34EKgQfP/h1tqcd2YKSs3GmNLl8N4dBJVq4Jx9Bd4nL+QqZtcuwS6YhXPLoNzbVszHTvs8LPEA/+ZamQq4Lw+AqrUJXHgj7vDcOQIX3uDf9N2yFufaAZi6zbCrF2NqNsQ0bIX7xsPgZkAx/4LMtO4KgPv6Q1CsBIFrB+C+/ThYG54P4jgUueM+jjzyb+zuncS9NJKMn3/Abs6q6HnrVpFy9/WQmkrUeb2Juakfqc8/Ep48x6vTFFOmAt7rD0KVWjjnX4f33tO5P8Z51+J9MxK2rsO56h5snaawZgnOBTfgTR0NG1dhWnTAnH4uduZY7NKfsUt/9ncuXwXnsn8XSCOCqd8CylTEHXoPVKtDoNfNuG/mvtkU6HUT7lfvwOY1ODc8gKnXHLtqkb+xZAKmblPsvl2Z5e3enbjDn4SjhzH1mhPofWuer/t3JW7axcb9h/nuqk4s3rGfJxKXMbrP6bnKda1ejqubnEKPUYk5nn/7t7X0qF2RK5pUZ83eZG6f9FvBNyQYB+fS23HfeBT27yFw34u4S+ZCUta/nzmtO6Qcwn3yNkyrjjg9b8AbMQR7+CDu20/Bwb1Q6RQC/3oS99EbIPUI7vP/ydw/cN9LeIsKrvJs6reAspVwh94dPC5uwX0z999QoNfNuF8O94+LGwdi6rXArlqIl/g1TPHPZ+b0HjjdeuONew+nSy/sto14H70I5Srj9LwJ793cfx9/KXPdZv457pX7gue4G3CHP5E784XX445/P3iOuzfzHOeNeSOzjHPOldjUlBz7OT2uxK5eXCBZc2V3HLq/PITPzu/Nwa3buOHHaaz+5jv2rFiZWeb0Bwaw/MtxLHhnBGUa1OeycaMZ1qAFDfr0JFCkCO+17UBUXBy3LpjD759/yYFNf//8cCKJP//Kxs1b+f6zESxatoInhr7K5++8lqNMfNGijBuZdVO2903/4uzOfgVk2AefcO6Znbjy4gtZs34jfe97hOlffERYFYLf6hwch2ZDBjOnz+Uc2badTlO/Jem7yRxauSqzSLFaNal797/58dyLSD9wgJiyZQAo3bYNCe3aMrPjmQB0mDSeMmecxp6fwnuT7Y/MGfkJM18fzg0fvh3RHJkch0pPPMGG664jIymJWuPGkTx1Kqlr1uQsVqwYZW64gZQFC7KeDASo+uKLbOnfn9QVKwiUKoXNyAh73hZDnuXH3peRsm07Z077ju3fTSY52zGx+OHHM/+/9q03U6pZk8zHq157k6i4OGrecF14cx4n8cfZbNi0mcnjv2TRkqUMGvw8Yz4akaPMvv37GfLyq3z1yYckJJTmgUcHMWfuL5zW7lQaNqjPl598QFxcLKM+/4IXXnmNl58fXOA5TYOWUK4S7nP/hlPqEujT128QOE6gz624Y96CTatxbnkY06AldsUCbNIm3A9eIHDJbTl3cBwCV96F++mrfgN30Xhw3QIM7hB93V2kDbkf9u4i+ok38ebPwW7LqnLZPTvJeGcIgXMvzbV7xqTPMTGxOGdeUHCZ/oyajfxz8ntPZDsnD81VLPOcfPPjubetnI+dNuafSAtA4urNbNxzgO/uuozFW3byxDc/Mrpvr1zlXry0G/GxMVhruXv0VL5ftp7zmtbm9NpVuOestkQFHP47eS7v/LCQe7u3C0tW4zhc8tp/GXZOL/Zv2Ur/uTNY+vUkdizPurbo+cLT/Prxp/z64afU7dqJCwY/zifX+8fvNSPfYvKz/2XV1BnEFCuG9byw5Dxe4oYd/rX9jWezOGkfT0xfyOgru+Qqd2PrurSrVo401+OmL34kcX0SnWpW5IIGVbmieU0Apq/dzpBZSxje+4zwZt640898XTc/84zFjL68U+7MLevQrlpZP/PY2SRu2EGnGhWoVDyOwWe3YMT8tXm8egEwDs5ld+C+/kiwLvJS3nWRI4dxn+iLad0psy7Cto24Q+72GwtKlCbw4Gu4S+f6jwH3lYfg8MHw5M4m8zu+pqtf55u1hNGXdshVrmvNClzdrAY9Pp6R4/kXflpOz/pV6dWwGj9v2c1Lc1bw/Nktw5v5bx7LDcuXYsxVNYmLjuKzRev47w9LefH8MHW6KaTXFyL/H0R0aqPgTf9xQKK1tpa1tjVwBVA1uN0BLgY2A52P2320tbaFtbYxfuPD5cHn7wROB5pba+sBzwITjDGx2fbtaq1tBswEQt7NNcacBlwAtAqWPwvYbK292FrbArgF+CGYo4W19lg3wKuD5ZvhNyiMDz6fAdxrrW2E33BypzGm0Z/+wvLB1G2GXTbXf7B9A8TGZd5oz2H7hn/khzYvpmEr7MIf/Qdb1kJcUYg/rhU/viQUicvsQWUX/ohp2Nrf/9Ru2MRv/EYEyPwcpnwV7LrfM5+zR1Ogcs2wfQ6nXiO8bVuwSdsgI4OMxClEtc95oeYu/g1SUwHwVizFKVvwPcxDMfVbYhcFD82t66DICb7nresAsItm+z2/AcpUgI3+D7Zdtyzz+8/xHk3aYZf9UjB5G7bGLvjBf7B5jd9TrnjOnhIUL+Xn3ezfWLELfsA0apO52Tn/OrxvR+XcZ9NqOHrYL79pDZRIKJC8x5u+YSc961fBGEPziqVJTs1g1+Gjuco1r1iacsVic7+AgUPp/jF9KC2D8kXD0Cusel3s7u2wZwe4GXi/JWKa5qw0mqbt8OZOA8Au/MkfOQSwZZ3fiACwfRNEx/ijE7IrVxmKl4S1ywossmnUBjs/2OiyeY1/vvij42J+IqZx8LhIPZJVLibbd1qhCvZYzl3bMKXL5f77+KuZG7TCLvzJf7BlrX8s/+E57idMg1a5X6vJqdjFP+d4bfbthl1bCyTr8Sq3bc2+tevZv2EjXno6y8d8Rb0Lzs1ZyFqKlCgOQGzJEhzanpT5fHTRophAgOi4WLy0NFKTk8OSM7tpP8ymZ4+zMcbQoklDDh46zM7de0KWX79pC3v376dN86YAGGM4dNhvrEk+fJjywRvg4VQYfquzK92qJYfXbyBl4yZsejpbx46n4rnn5ChT/dqrWf/eSNIP+D1y0479G1iLUyQWJyaGQJEiONHRpO7a/U9/hFzW/DCblL37Ih0jU1zz5qRt3Ej65s3Y9HQOfPMNxc8+O1e58v37s/vtt7HBawuA+I4dObpiBakr/FGY7v79mTdWwiWhdUsOr1/P4eAxseWrcVQ+7pjIrlqfXmz+cmzm412JP5J+6HBYM+Zl2qxEel1wnn++aNaUg8nJ7DzueNy8dRvVT6lGQkJpAE5rdyrfT/NvBLVv24a4OP83vEWzpiTt2BmWnKZxW+y8mf6DTatDXxPFFvW3A3beTEzjtv62nVth17bcr1uvOXb7xqxRcimHwBbcsWJqN8Du3Aq7tvvXGT/PwGl1XKeK3Tuwm9fl2dHH/r7Av37/h5k6zbKuZ7dv8H+fT+JzMsD0FfaFWgYAACAASURBVBvp2aKuf91ZrQLJR9PYlZz7u4uPjQEgw7Okux4muBbmGXWqEhXwbwk0r1aepIPh+3usfmprdq9dx571G3DT01kw+iuaXnR+jjIVGtZn9XT/em/1jESaXnRe5vNOVBSrpvp/g2mHD5N+5Aj/hOlrt9OzYTX/O66UQHJqOrsO5by2j4uOol21cgDEBBwalS/FjkN+vvgi0ZnljqRnkPnlhzPzuiR6NqiaM/PhvDKXzcpcriQ7gp+rSomi1C9bEidcWWvUy1kXmZ+IaZZzVKBp1j6rLrLgR0z9YF0kPTXrty06JnydBf/A9PU7sr7jiqXz/I4hdJ1v7b5k2lX1v/92Vcowfd2O8Gf+m8dyu2rliIv2633NKiWwIzl8f4OF9fpC5P+DSK+RcCaQZq3N7B5ord1orT3WhbALsAwYBlyZ1wsYY6KAYvijCwAewB+BkBJ8vcnAbODqPHafA1Q5Qb5KwG5rbWrwtXZba3NfjYdgrU0D7gdOMcY0t9Zut9bOD25Lxh9JcaL3/8tMfEls8v6sJ5L3Q3yp0Dvk9Rr1WuDc8BDORbfkrrQUhBKlsQf2Zj60B/bmvrlbIgF7MFuZg3uhhF+hM2UqYmrUJ9B3EIGbHoYqfmOBTdrk32RzHChVDlO5BqZkeG4a+znKY3dn/fDb3TsxZcqFLB/V/SIy5v1zPTBN8dI5vkOS90Lx0jkLFS8NB7NupNjkvZhjZXZtg2CjgmnUNs8b8KbRqdilcwsmcMkE7P6sm39/6rg4sAeC/8amYWv/RvcJpi0ybbtgVy0smLzH2Xn4KBXjsy4WK8THsuNw6gn2yKlfmzp8vWobXT+czu0T5/Fwx4JvazSlyvg3oY/Zv8d/LnuZkmVgf7CM58GRw7kq06bF6dgta+G4Hq+mdSfs/B8LNnSJP3lcnOCc4nS/nMDAN3BadMALjk5g+yacJsGeNFVrQ6mymcdSgWQ+cPz5K69jed+Jy1SvD4cOwt7geSamCE7HC/BmjiVc4itX4uCWrEaK5K3bKF4l57QdPzzzPI2vuIw71yzl0rGjmdL/AQBWfDWB9JQU7lq/nH+tWszcl9/g6L79hNuO3XuoVD7r3FuxfFl2nKAhYdK0mZx7ZhdMsJLc76ZrmTB5Gp0vvorbBjzCI3f/K9yRC8dvdTaxlSpyZGvWcXF023biKlXMUaZYndrE165Fh0nj6fD9N5Q70x8luG/eb+z+8SfO+X0h3X9fyM7pMzm0anVY8xZG0RUrkr59e+bj9O3biapQIUeZ2MaNia5UiUMzcvZujKnpT+lYfeRIak2YQJm+fcOeN65SJVK2Zl0aH9m2nbhKeU/xU7RqVYqecgo7Ewv49+Ev2LFzJxUrZn2vFSuUZ8fOnI0B1atVZf2GTWzZto2MjAymzZhF0o7cN3q+GDeBTmecFp6gJcvk/u0rWSb/ZY5XrjJgcW59hMDdQzBdehZgaDCly2L3ZB8VugtTOvd0OycbE18Km5ytYfGvnJPrtsC5/kF/utAwn5MBdiYfpmKJ+MzHFUoUY0eIxoBbP5xExyEfUaxINN0b5e5k9dX8VXSsWy1sWUtWqcy+zVm/Ifu3bqXkcdcW2xYvpdnFFwLQ7OILiS1RgqIJpSlfrw5HDhzgxi8+ZsC8H7jo+acwzj9zK2PnoSNULJ415UyF+LjMG6t5OXg0jZnrttO+WlbHsVEL13HO+5P57w/LeKhLs7DmBdh56GgemXPf5D7mYGo6M9fvoH21f+bv1JQsA9lGjrNvt/9cqDKeB0dSsuoi1esRePgNAg+9jvfZm1kNC9YS6PckgftfxpwR+qZzQdh56GiOqYgqxMee8Ds+XoMyJZi6zv+9n7ouicPpGew/Et6pCAviWD7mq6Ub6VizQh57FYzCen0h+I2l+u/P/1cIRbohoTEw/wTbrwQ+BcYC5xtjorNtu9wYsxB/6qIE4GtjTAmgmLV23XGvMy/4XsfrgT8iIpTJQDVjzCpjzJvGmONHRfwha60LLAJyTLxqjKkBtAQK6O5rwbJrl+ANfwxv5GDsxhU4556EQ8KcAMQVwx0+CPf7Twlc7s9ba+fPgoN7Cdz+JM55V2M3r4lYT4XjRXXtQaBuQ9K//DjSUf40b8L7OG264tzyGMTEZo0AOaZKLUhPC1vP6HyJjsHp2gtvSugh5aZWI5w2XfG++/QfDPbnTVyznV71qzLjujN56/w2PDBtEd5JcvzmUPEUnItuwPvsjVybnFYd8X6bFYFQJ+ZNHo373J14C3/EOc2vXHgzx0NsUQJ3PYdzeg9/3YV/aKj8n+U0bY+XbY5lp+vFeLO/g7Q/30AVDo0u68OSjz/ljTpNGHPx5Vz43ltgDJXatsa6Lq/VasSwhi059T//olSN6hHNmpdJ02Zy/lldMh9PnDqDi8/tzqyxo3h76NM88PQQvJPsWDjeyfhbbQIBitWuxU8X9WH+rXfQ4uUXiCpRgmI1a1C8Xl0mN23F5CYtKdvxDBLah2f6jP9pxlDx4YdJeuaZ3JsCAYq2acOWe+5h/WWXUaJ7d4qdnntqvUip2rsXWyd8c9KdY0MpWaIEgx56gHseeJirb+pLlcqVcI67cTl+4rcs/X05t1xfyOZfdgKYmg3wPnkF941HcJqciqnTNNKpCj27dineO4/jffAsdsMKnHNPruPinevOY9aAq0nLcJm7PmffuLdmLSDgGC5sVidC6Xzj73uE2p07MGDeD9TudAb7t2zFuh5OVBS1OpzGhPse4cV2XShTqwan3pBXP8HIyvA8Bnw7j2ta1qZaqWKZz1/Vohbf39Sd/h0b8/bc8K7dl18ZnseA737jmuY1qVay2B/vcDLYuAr3mTtxh9yD0/1SiPJvE7kvPYD7/N24bz6O0/ECqJ3XLaCTw31nNOLXrXvp/Vkiv27dQ4VisTjOyXNTMdSxDDBh+SaW7tjHTa3rhtj7n1XYri9ECruIr5GQnTHmDaAD/lRFZwDnAf2ttcnGmLnAOcA3weKjrbX9gtMjvQHcB7z5J99qhjEmATgEhJwk3Vp7yBjTGugIdAVGG2MGWmtH5vej5XhgTDzwJXC3tTbPcbHGmL5AX4BhvTtza/s//hE0LTthmvnzLdrtGzHFS5F5+7F4KTiUjx6hR7N6stjFP/kLhxUAc+pZOG26+K+7dR2mZEJmRlMyIWvKlGMO7sVk651rSiRk9py3B/dif5/nb9i6zh+SXbQ4pCTjfftJ5j6BWx/D272dcLF7dmLKZrXGm7Llc/TCyszRoi0xl9/AkQfuKNDF7PJi2pyJaeVPr2S3rceUSMh2LCT4i8xml7wvc6QHgCmekNUja08S3icv+v+fUMGf9z37ezU+NWtqjr+at/3ZOG39ebPtlnWYUmU4tnLJnzouSpaBA3shoQKULkfgP8/7G0okEPj3YNw3HvEXvqt4Ck7vvrgjn/OH8ReQUUs3MuZ3f07PpuVLkpStN8qOQ0epUOzPT0/05fItDL/An46nRcXSpGV47DuSRpkCnOLI7t+Ts2dgqZy9GSE4yqNUWdi/xx/dE1csaxh/qTIEbn0I96OXYPdxi4ZXqQGBAGz++3OqmvbdcU49dlys/XPHRcnsx0UeZfCHRzs3DoSpX0DqEbwvsubMDzzwmr+Q21/NfGo3nNZd/PfZuj7nOa5EqGM529/e8WUcB9OoDd5bj2WVqVrbHx3U/XKILYqxFi89HfvL1L+c+3iHtm2nRNWsAXPFq1QmeWvO82jz669hdE9/buutc38lEFuEomXL0PiyPqybPA0vI4OUXbvZMucXKrZuyf4NIZcj+ss++XICY76eBEDThvXZvjPr3Ju0czcVQkxPtGL1WjIyXJo0qJf53JfffM87//VvzrZs0ojU1DT2HThAmdKl83yNv6ow/FaHfLvtScRVyTouYitX4sj2nOeAo9u2s2/+fGxGBimbNnNo7Tria9ekzBmns2/efNzg9FE7p04noW1r9v58UvaniJj0pCSis/W4i65UiYxsveCd+HiK1KtHjU/9xvCocuU4ZfhwNvXtS3pSEim//IK7z//9PjRzJrGNG3N4dvgW4D6yfTtFq2QtwhlXuRJHtud9zVWtd08W3J97fv9/yiejx/D5V37/oaaNG5GUlPW9Ju3YSYXyuXtcntm5I2d27gjA6C/H4gSyGhJm//wLb703go/ffYuYmJgCy2lO74HTrhsAdnPwt+/YtpIJcOC4kVYHco4qzLPM8Q7swa5bDin+tHPeigVQtSasWVIgn8Hu251jdK5JKIfdF/mpzPJiWnTCNPMb3GzSRn8k77GNf+ecvGR22M7Jo+YuY8x8/2Z008rlSDqYdU274+BhKpQIfTO4SHQUZzaozvQVGzm9dlUAxi5YxaxVm3j/+vMzR+mFw4Gt2yhdLes3pFSVKhw47tri4PYkRlxyDQAxxYrRvPdFHDlwgP1btrJ14RL2rN8AwJLx31C9XVvmEp61jEYtXMeYpf57Na1QiqRsU7jsOHSECiEWxX186gKqlyrGda3ybpA5r35VnpwWnlHRoxatZ8wy/1or78x5TKkKPD59kZ+5Ze2w5MqLPbDHn070mNJl/brHcWUoXS5bXaRo7inFdmzBph6BytVh05qsc9+hA9jFczA16mVNYVoARi3ewJjf/VHvfp0v+3d8NOR3nJfy8bG8ep5f5zuclsGUtUmUKBL9B3vlX0Efy7M37mT4Lyv54NJOxEQFCjzvMYXp+kLk/5tIj0hYBmROBm2tvRPohr+A8TlAKWBJcIHkDuQxvZG11gJfA52CN+UPG2NqHVesdfC9jukKVAcWArlXvsz5+q61dqa19nGgH9AnPx/QGBMAmuJPY0RwVMWXwCfW2q9O8L7DrbVtrLVt/kwjAoBdkIj3wbN+L5g1izCNgz39KtXw5wfPz1ye2acwqdMM9iSFLpsP9pepuG8+gvvmI9jlv2FaBBckqlobjqb4N3uzO3TAz17Vv7AxLTpgl/uDWOzy3zA1G/rlylSEQJRfIYqOgWj/pqup3QQ8N8/5YQuKt2o5TpVqmAqVICqKqE5n487NuYCuU6seRfoN5MiT92EPhH8uZjtvOt7wQXjDB2FXLsA0D/ZIrFILUk/wPVfx/3RM89OxK4MLOBYtHixkMB0vxP42M9uOBtOoLXbp31sfwf48Bfe1B3FfexD7+zxMS7/STrU6/nGRfFwlLnm/n7eaf2FjWnbELv8NdmzGfeZ23CF34Q65Cw7uxX3tIf/zlSxD4Jp7cD9/I/fN77/pqibVGXtZB8Ze1oFuNSswfuVWrLUsStpH8SJRea+FEEKl+Fh+3uJfBK/dd4hU1yMhruBuUACwaTWmXGV//YtAFE7rTtglOf8N7ZK5mTcyTIszsKuCi/rGFSNw++N4Ez6A9ctzvbTTujP2t8Rcz/8V9ufJuK8OxH11IHbZvMzGsT99XLTqlNXYWCZr+hXTuA322Dkhtqjf8AGYtmdi1y/PuZ5CfjP/Mg132KO4wx7FrvgN0yK4mN6fPsedgV2RNVDP1GoMu7fnmHrMfe8Z3JfuxX3pXuzPk/F++LpAGxEAts2bT+k6tShZ/RSc6GgaXtqb1RO/y1Hm4OYt1Oji/5uUqV+PqNgipOzazcEtW6gefD66aFGqnNqGPdkWRitIV/e5iHEj32LcyLfo1vF0xn83BWstC5cup3h8sZDrHEycOpPzz+6a47lKFcox5ze/cr92wyZS09JIKFXw01IUht/qUPYvWEixWjUpeko1THQ0VS7uyY5vv89RZvuk7yh7hv+bE5OQQHztWhzesIkjW7ZS5oz2mEAAExVFmTNOI1lTG+VyZPFiYmrUILpqVUx0NCUvuIDkqVl/315yMivbtGF1p06s7tSJIwsWsKlvX44uWcKhxESK1K+PiY2FQICi7drlWqS5oO2bv5D4WrUoesopmOhoqvbuxbbvJucqV7xuHaJLlWLvL/PCmudErr78UsaP/oTxoz/hrK6dGffNJP98sXgJxePjKV8u95Qee/b6DbsHDh5k1OdfcOnF/hRAv69YyWPPPMuwl4ZSJqFgp8+0s7/Dfek+3Jfuwy77BRPsgMMpdUP/9h1N8bcDpk0X7LJfT/weKxdiKp7iXzM7DqZWI9ixpeA+w7oVmApVoKx/fe6074q3IHwNWn+HXZiI9+FzeB8+h12zGNM4ON3h3z0n124atnPyVe0aM/aOPoy9ow/dGtZg/MLV/nXn5h0Uj42hXPGiOcofTk3PXDchw/WYtWozNcv6v28/rN7Mez8t4o2ruhMXE94+hpt+nU/ZOrVJqFGdQHQ0LS/vzdJgZ4BjipVJyGzMOGtgf+aO+Dhz37hSJSkW/F2v27UTO34PX8/+q1rUYuw1ZzL2mjPpVrsy45dv9r/j7XspHhNNuTxuGL/y0+8cSs3gweOmLtqwL6uhZ9a6JKqXij9+14LJ3LwmY6/qwtirutCtViXGr9iSlblIdJ71kVfmLPczd2qSxyuG0cZVOesirTphF+fsWJCjLtKyQ1ZdpEwFv2EBoHQ5TMWqsGenvwZakeBN8Zgi/mL12wq2E8tVzWow9opOjL2iE91qVcz6jpP2UTwmf3W+fUfSMkedv/PbGno3Cs+0YgV5LP++cz9PTFvI6xedVqCd3PJSmK4vRP6/ifSIhOnAYGPMHdbaYcHnjl35XAncYq39FMAYUwxYb4wpmsfrdACOdX99AXjVGHOptfaIMeas4Pbbsu9grc0wxtyN31DxtLU2V7dVY0x9wLPWHqvptgD+9K9RsNHgGfwFmhcHR0+8Byy31r74Z1/nL1m3DFurMc6tgyA9De/brKl0nOsfxPvgWT9j516Yhm0gOhrn9qexi2djZ0/CtOqCqdPMvwl/NAXv24Lv7WFXLcLUa0HgnqGQnob71TuZ2wL/ehr3TX8dbPfrDwj07gvR0dhVi7GrF/n7z5+FufhWAv2e9Rdp+nK4v3OxEgSuvx+shz24Dzdbb+Ow8FxShw0l7qlXwXFIn/I13qb1xFzTF3f1cty5PxBz878htiixDw72s+9K4uiT94U31zGrF2PrNMPp95x/LEx4P3OT09dvbADwJn2M0/MmiIrBrlmS2SvNNGmHOTZaYMX8rAWyAarX83tP7889AuOvsisXYOq3IDDgZUhPxf3i7cxtgX8/i/ua39vAHT+CwCW3Q3QMdtVC7MoT9+5xuvWGovEEet7kP+F5uG88XGC5j+l0SjkSN+6ix6hZxEYFeKZr1gXYxZ//yNjL/MazoXNWMHH1No5muHT9cDp9GlajX9u63H96Ax6ftZQPF28AYPCZTQu+d5jn4Y15i8C/ngDj4P08FZI2+VOBbVqNXfoLds4UzHX9CTz2NqQcwh0xBADT6XwoWwmnxxXQ4woA3Dcey7xBblp2wH3rhO2zf4lduQDToAWB+17xj4sx2UYR3PUc7qsD/Szj3idw6R3+cbEy67hwzr0SU7ayf17Yvxtv7Lv+zuWrELj0X4DF7tiC9+Xbx7/1X8+8ahGmbnMCd7/gn+OOvScQuOMp3GH+gDj3mw8JXHyrf45bvRi7enFmOdO0Pd7if25NlczsrsuUe+7niq+/wAQCLP7gE3YvX0HHRx9k+/wFrJn4HdMGPsp5b75M23/fAdYy8dZ+APz21nucP/x1bvltNsYYFn80il1Lfw975s6nnUrinF/ofvkNxMYWYfBDAzK39brhdsaNzDpmvp0+i+FDn86x/wP9buPRIS/xweivMAaefXhAWHtmAoXitzo767oseeAh2o/5FBMIsGnUZySvXEX9gfexf+Eidnw3mV3TZ1C+a2e6zp6FdV2WPf4U6fv2sW3CN5Tt2IEuP84Aa9k5bQY7vp8S1rx/xs2j3qdelw7Ely3Ds5uX8/Xjg5n9fni/xxNyXbYPGkT1Dz7AOA77xowhdfVqyt19N0eXLCF52rSQu3oHD7LnvfeoNW4cWMuhmTNzraNQ0KzrsvD+h+jwhX9MbPjkU5JXrKTRg/ezb8FCtgcr/VV792LLV7lnE+08cRzF69YlqlhRzl06n/l39WfH9JlhzQzQucMZzPpxNmdf1Ju42FgGD8oaoNzz8qsZP9of2frMkBdZEWzwurPvzdSs7k/TNuSlV0lJOcJ/gj0gK1WsyFuv/LfAc9rl8zENWhEY+Lr/2zc6a/B14J4XcF/yryXdr94lcMWd/jXcygXYFX5nENPkVJxeN0N8CQI3P4jdtgHvnafhyGG8xK+DIzgtdvn8zI46BcLzyPjwNaLvfx5jHNzEb7FbNxLofQN2/Uq8BXMwNesT/Z8noFg8TsvTsBdfT/pDNwMQ/fDLmErVIDaOmJc/I/29odgl/8BNonXLsDUb49zyOKSn432X7Zx83UC8D58DwHTqmXVOvu0p7JI5Wefk2k2zzsnfhX8q0051q5G4ajM9XhlNbHQUz/TKmon34mFfMvaOPhxJT+fOUd+T5np41nJqjUpc3sbvjPX0pNmkZ7jc/KF/Q7951fIMurBjWLJ6rsuXdw3g9m+/wgkEmDviY5J+X8G5gx5i028LWPb1t9Tp0pELnnkcay1rf5jNF/3uBcB6HuPvf5Q7p0wAY9gyfyFz3v0gLDmP16lmBRI3JNFjxBT/2r57Zj9ILv54OmOvOZOk5CO8/ctKaiXE0+cT/7x7dfNaXNK0BqMWrmPOpp1EBRxKFolm8Dmtw5+5RnkSN+ygxwfTiI0O8MxZLbMyj5rJ2Ku6+Jl/XU2t0vH0+dSfkvTqZjW5pEl1luzYx13f/MrB1HRmrE/i9bkr+fqariHe7S/wPLzP3yJw55PBusgUvy5yfrAusuQX7OzJmOvuJfD4cDh8CHeEP+Lc1GqE0/0ScF2wHt7oYX6DX5kKBG717x8QcPDmzSrY89pxOlUvT+LGnfT4aIZ/XHRrnrnt4s8SGXuF36lm6E+/M3HVNo6mu3QdMZU+jarRr119ftm6m5fmrMBgaFMlgUc7h78x5+8ey0MTl5KSnsE9E/0OaJWLx/FGz/CsEVRYry9E/j8wNsJzbxtjKgEvAe2AXcBhYGTwuRrZp/4xxnwFjAbi8BsMtuKPqtgC3GCt3Rm8Wf8YcC3gAkn4iy8vCb7GBqCNtXZ38PFrwE5r7VN5ZGsNvIY/MiIDWAP0zbZvF2CAtfaCbPvMxF+kORUoAkwFHrbW7jfGdAB+AJYAxyZwe8ham7MrxnHcF+48CSdID80ezEfPnZPE0fnh6S0bLnHtTt75HkOxR/56L+9IMRXCt4BUONi1f386oX9csUIyF2t2BTiFxT/hhRe++eNCJ5mBmxZEOkK+eSOHRDpCvkx8LuSgyJPWpL15LyB6Mvt3zZN/gdnsVuxPiXSEfOuzZWWkI+RLxmM3RzpCvrk7wz+atqBFNWsY6Qj5U7VGpBPk271X56o+n/T++8YdkY6QP64b6QT5ZpfnHrF8sjP160c6Qv5EF/wUSOE27qGRkY6Qb332Jp08i1YUImm3nFOo7l9GWsy73xe64yzSIxKw1m4HrshjU64uBtba3tkejgzxehZ/uqI8u8Raa2sc9/jfJ8j2GxBylTpr7Uxg5nHPdTlB+R85br0EERERERERERERkcLMnESLhkt4RHqNBBEREREREREREREROYlFfETCycAYUwbIa9LZbtbaPf90HhERERERERERERGRk4UaEoBgY0GLSOcQERERERERERERETnZaGojEREREREREREREREJSQ0JIiIiIiIiIiIiIiISkqY2EhEREREREREREZG/zphIJ5Aw04gEEREREREREREREREJSQ0JIiIiIiIiIiIiIiISkhoSREREREREREREREQkJDUkiIiIiIiIiIiIiIhISFpsWURERERERERERET+OkeLLf+v04gEEREREREREREREREJSQ0JIiIiIiIiIiIiIiISkhoSREREREREREREREQkJDUkiIiIiIiIiIiIiIhISGpIEBERERERERERERGRkKIiHUBERERERERERERECi9jTKQjSJhpRIKIiIiIiIiIiIiIiISkhgQREREREREREREREQlJDQkiIiIiIiIiIiIiIhKSGhJERERERERERERERCQkLbZcGJROiHSCfDkydW6kI+RbXNsGkY6QLzYtDdO8VaRj5ItZszLSEfLNrl0b6Qj5UwgXNjLVqkU6Qv4llIt0gny5vdWCSEfIN7u58J0vaNYm0gny5awuCyMdId9qL9ge6Qj59tr63ZGOkC931Sob6Qj55s4YHekI+bJmXOE7J8cUCUQ6Qr5Vb9kk0hHyxdSoH+kI+XZztcJVRwWgYtVIJ8ifQOH727NLl0U6Qr6ZU2pHOkL+xMZFOkG+RRW+aqqIhKCGBJFCqLA1IoiIiIiIiIiIyP8wR61G/+s0tZGIiIiIiIiIiIiIiISkhgQREREREREREREREQlJDQkiIiIiIiIiIiIiIhKSGhJERERERERERERERCQkNSSIiIiIiIiIiIiIiEhIUZEOICIiIiIiIiIiIiKFmDGRTiBhphEJIiIiIiIiIiIiIiISkhoSREREREREREREREQkJDUkiIiIiIiIiIiIiIhISGpIEBERERERERERERGRkNSQICIiIiIiIiIiIiIiIUVFOoCIiIiIiIiIiIiIFGLGRDqBhJlGJIiIiIiIiIiIiIiISEhqSBARERERERERERERkZDUkCAiIiIiIiIiIiIiIiGpIUFEREREREREREREREJSQ4KIiIiIiIiIiIiIiIQUFekAIiIiIiIiIiIiIlKIGRPpBBJmGpEgIiIiIiIiIiIiIiIhqSFBRERERERERERERERCUkOCiIiIiIiIiIiIiIiEdNKtkWCMqQC8BLQH9gFpwBBr7djg9peBS4Fq1lov+NwNwAvAViAaWA5cZ61NMcYY4GHgesAGy/Sz1i4L7rsBSA5u2xfcb2Nw28PAVYALeMBt1tq5xpiZwABr7bxguRrAN9baJsaYLsB4YH22jzXAWjvVGGOB4XYYsAAAIABJREFUF6219wb3GwDEW2sHFdDXl8lay+DpC0hcl0RcVIDB551Kowqlc5Q5kp7BPRPmsHn/IRxj6Fq7Mv07N8tRZvLKLdw9YTafX3sWTSomFHTMHAJtTiP29gEQcEj/dhxpn3+QY3t076uJ7tETXBd7YB9HX3wSuzMJU74icY8NBcdAVBTp4z8nfeKXYc16jHP+tZh6LSA9FffL4bB9Q+5ClWsQ6H0bRMdgVy3Em/hR5ibT/mycdmeD5/nbvv8srHmttQyeOJvEVZuIi45icJ8uNKpcLle5vh9MZFdyChmepXX1ijx6YQcCjsOrU39l+vINGGMoUyyOwX26UL5EsbBmBjBnX46p3QTS0/C+GQk7Nucu06knpml7iC2K99//ZD3f9ixMizPA8yDlEN7ED+Dg3oLN17AVTp9bwXHw5kzBTvkiZ4GoKJxr+2Oq1YbDybgjhsDenZj6/8fefUdHUf19HH/f2U0joUhJQif0HpqiNAUREcEIigULiBQVRcAuHQVUFDtKUUAFRFAERRGpESkqCqHXkFDSCKS3Lff5Y0KSTVGi2QR+z/d1Dudkd+5uPrlMuTP3zp02GHcMBqsV7Hacqxeij4aZ39m+G0avgaA1OvECzs9mQ2pSyWYeMAwMC84d69Eb8m0zVivGg2NRtRtCahKORbPyZH4YLFZw2HF+uwh9zMxsPD4FVeEaMCzoEwdwrpgL5m66RGmtmRG6n9BTMeb+7Za2NPev5FIm3WZn7I9/cDoxzdy/BQUwrnNzAP44G8/M0P0cPZ/Em73bc2ujGiWesdDMP+4k9Nhpc9u7sxvNa1QtUG7E5+uIS0nH7nTSvk4gE2+/AYthsO5AOB9u+ZOTcQksH34HLWsW3G5LmrVjZ8qNeQEMC5nffUPmF5+4LPe692G8+g1AOxzohAukzZiEMyYKAJ/Hx+LRqSsA6YvmYtv4k9vzaq2ZsfhrQvccwNvTkxmPP0iLoNoFyj087V3iEpLw9vQAYMFLo6hSsTyrtu5k1pLVBFSuCMCgXt0Y2KOT+zN/vYHQgyfw8fRgxgO307x2YJHlR81byen4BNa8NAyAWd9uYsv+43hYLdSuWonpg26nQjlvt2Y22nTEc+gYMAzsG7/DvuoL1+XNg/F85GlU3QZkzZ6MY+eWnGWqagCej7+IquoPWpM5/Vl0XLRb8/p160bgpElgGCR89RXnP/640HLle/emzpw5nAgJIWPfPgC8mjalxquvYvj5gdacDAlBZ2W5Ne8/eeiTD2nVtzfJsXG80ur6Ms2Sl2+3bgROnISyGFxc/hXxc4uo51t7U3vOHE7eadazR82aNFj/M1knTwKQtmcP0RMnlGZ0cztctZnQQ+H4eFqZcX9vmtcKKLL8qE9WcTo+kTXPDym9kJh17D9hIspiIeGr5VyYO7fQcuVvvZWaH87h1J13krF/X8771urVqb/uJ86/9x4XPllQWrFz+HTpSpUXx6MsFpK+XkHignmFlvO9pRcB73zAmXsGkHVgf6lm1Foz49dDhEaex8dqMKN7K5pXq1ig3Du7jrLm6DkSM23sHnZLzvuv/XqIXefMNmaG3cGF9Cx2De3p/sxLVhO695B57Bt+Ly3q1SpQ7uGZc4hLSM499j03nCoVyrNo3VZWbt2FxbBQuYIvrz56DzWruu+cz+/GbtSYNBksBheXLyfuo8L3FRV696buxx9xvN8dpO/bR6WQEKqOHJGz3LtpU4737UvGwUNuy3qJ1poZa0IJPRJhtuHu6Unzmv4Fyo34ZDVxyanYHZr2QTWYeOeNWAxz3OYXv+5l2Y4wDGVwY7N6PNuns/szr96avV/zYMa9vWheq5DM81cRl5RqtjuDajJxQHcshsGhs7FM/XoTmXY7VsNg4oAetK5TdPvk31DN22O5ZyQoA+evP+Fcv8K1gNWKZfCzqDoN0anJOBbMhAuxUNkf6+S5EHMGAGf4EZzLPgDAuONhjI43Qzk/7GPvKtG8+ZnrxVZCD5/KXi+KqOMF35rrhdNJ+3o1mNg/u47PxTH1m01k2rLruH/3Eq/jQjNfRe1O/x7daTXzFTAsRH6xhGPvflCgTI2QO2j6wrNorUnaf4DdI58AoPnkCQTcYu5/j7z5Nue+Xe22nEL8f3NFdSRkX/T/FlistR6U/V5d4I7snw2gP3AauBHYnOfjy7XWT2aXWwrcCywERgGdgODsjoVewBqlVAutdUb2Z7trrc8rpaYCE4DhSqkbgL5AO611plKqKuB5mX/KL1rrvoW8nwkMUErN1Fqfv8zv+ldCw6OJuJjCumG3ERZ1gak/72b5gwUbso9c24SOdfzJcjgYunwroSej6Fa/OgCpWTY+//Morau7twMBAMPAe9QLpL00Cn0+hnLvf4Z9ZyjOyNz+GOeJw6Q9tRIyM/Hoexdew0aTMeNl9IXzpI19BGw28PbBd+5y7Du2oi+4tYpRjYOhSiCOt5+BWg2w3DEEx9wpBcpZ7ngEx7cL4MwJjIefQzVqjT4WhgpqhmrWHscHL4PDDr4V3JoXIPToaSLiE1k39j7CzsQydc02lj/Wv0C52ffegp+3J1prxiz7mZ/2n6RP64YM7RLM6J7XAvD5jn3M2bybKSHd3Bu6QUvUNf44P54INYIwej+Ac/FrBYrp42Ho3ZsxHnvF9f2YSPTCrWC3odp2Q3W/C716fsnlUwbGwMdwfDgREuKxPDcbx75dEJ3b2aFu6AVpKTimjUS164oRMgTnwjfQqUk45r5idmxUr4PliWk4Jg4Bw8C4aziO6aMgNQkjZAhGt9tx/risBDOPxPHhJDPzs2/h2P+ba+brbzEzv5Kd+Y7BOBfNys78am7mx6fimPQIAM6Fr0NGOgDG0BdRbTuj//ylZDLnERoRS0RCKusevpmw6ItM3RzG8nsLroePtG1Ix9pVyXI4GbpqO6GnYuhWL4Dq5X2YcUsbFv55osSzFZn52BkiLiSxbvRAws7EMXXtdpYPv6NAudkDe+Rue19t4qcD4fRp1YBG/tfw3r03M+W7X0snsGFQ7pnxpIwZgTM2mvILvsS2bTPOUydzijiOHSLp0fsgMwPPO+/BZ9Q4Uic9h/WGrliaNCNpyEDw8KT8B59i27EN0lLdGjl0z0EiomNZ9/Yk9h4/xbRPlrP81WcLLTtr1GBaNqhT4P3bbmjLxEfucWvOvEIPniQi7iLrJo4k7NQ5pn71E8ufGVxo2Z/3HqGcl2szpFOTIMb2uwmrxeCt1ZuZ//MOngnp7r7AhoHn8GfInDYGHR+L9+sLcPy+DX3mVE4RHRdD5gfT8bjj/gIf93xqAravP8MZ9jt4+5gdvO5kGFSfOpVTDz+MPTqa+t9+S/KGDWQeP+5azNeXKkOGkPbXX7lvWizUmj2bM+PGkXn4MJZKldB2u3vzXoYdi5aw5YN5DPms8IvIZcIwqD5lKhGDH8YWHU39Vd+SvHEDWYXUc+X89QxkRUZwsl9hzebSEXoonIjzF1n38lDCIqKYunIDy8c8UGjZn8OOUc7zck8HSpBhEDBlCqcHD8YWHU29b1aRsnFjoXV8zeAhpO/5q8BX+I8fT0ro1tJK7MowqDp+MlHDH8EeE03N5V+TtnkjthOux2FVzpcKDw4mY++eMokZGnmeiMQ01t3flbDYRKb+cpDlA24oUK57PX8eaFmH3stc2zgvdm6W8/MX+yI4dL7kBoAUmTnsMBHRcax740X2nohk2uKvWT756ULLznpsEC3zdbA3q1uTFVPG4OPlybKN23lz+VreHvWQe8IaBjWmTSP8wYewR0fTYM1qkn4ufJ9c9ZFHXPYVCatXk7DavBDo1aQJdefNLZVOBIDQIxFEnE9g3XMPERYZw9RVW1j+ZMG2wuwHbsttw33xIz+FHadPm8bsOnGGTQdPsmrMIDytFuJT0tyf+fAps33x4hDCIqOZ+vVGlj9d8Lg8+6E++Hl7mZk/W8tPe4/Rp20T3lq7jSdu6Ui3ZkFsPRTOW9//wuInBpZcQGVgue8J7O+Nh4vnsb74Ds6wnS7nIkanW9FpKTgmD0N16Ial/1Acn2SfA56Pwj7jqQJfq/ftwr7lO6xT3d9ZGnr4lLlePD/YrONVm1j+1H0Fys1+8LbcOv58LT+FHaNPm+w67tmRbk3rmXX8wzYWP3a3ezNfTe1Ow6D1GzPZftc9pJ+L4sYN64het57kI0dzivjWD6LRmKf45bZ+2BIT8axqDtIKuKUnFVu3YsuNN2N4edF5zTfEbtyIPTnFPVmF+H/mSpvaqAeQpbXOGZqgtY7QWr+f/fIm4ADwEVDwSAgopayAL+bdBQAvYN6BkJb9feuB7UBhZwg7gJrZP1cHzmutM7M/d15rfe7f/2kA2IF5wNj/+D3/aNOxs4S0qIdSiuAaVUjOsBGXku5SxsfDSsc6Zq+5p8VC84BriEnObdi8t20/w65ripfV4u64GE1a4Dx3Gh19Fux27FvWY73hRpcyjr27ITPT/PnQfoyq2aPF7HazEwHAwxOM0lmtVbP26D3bzBdnToC3L/i5jorGrxJ4+ZjLAb1nG6p5B/Pz1/VEh35ndiJAiY42L8qmQ6cIadPYXC9qB5CckUlccsGLe37eZqPB7nRiczhQyvV9gPQsO+rSAjdSjYLR+3eaL86Fm/VZWKfLufDC6zDyKNjN9UOfC0dVqFSwzH9RtxH6fBTEx5gj9HeHolp1dP0bWnXEuWujmWHPr2YnFMCZk7l3R0RFmuuv1Qoo85+nl7nMuxw6sQTvoqjbCB2XJ/OfvxSe+bdNxchMTicChsV8T+uSy5zHppPRhDStZa7H1SuTnGkjLjXDpYyPh5WOtc3GpKfFoHm1isSkmGVqVihHk6oVMUph/c3JfCSCkOCG2dueP8kZWcQlFzyRzN32dPa2Z2ZsUK0SQVVLeN39G5ZmrXCeicR57gzY7dg2/ohnV9cTBfufv0OmWaeOA2EY1cx9siWoAfY9u8HhgIx0HMeP4nF9F7dn3rR7HyFdr0MpRZtGQSSlpRN7MdHtv/e/2LTvGCHXtTTXi6CaJKdnEpdY8CQnNTOLxZt/Z2Qv1zskOjcLwmoxj3nB9WoQnZDs1rxGw2bo6DPomHPmsXrbRizXdnUpo+Oi0REnCmz/qlY9sFjMTgQw9xdZmW7N6xMcTFZEBLbTp9E2G4nff0/5W24pUM5/3DjOz52LzszN49e1KxmHD5N5+DAAjoQE93d8XIbjv2wn7cLFfy5YivLWM5fquWfBeq42dhzx+er5SrBp/wlCOjQ3t8N6NcztMKmI7XDrH4y8pfTvBPHOV8dJa7/Hr2fBAUJVx4wlfl7BOvbreQu202fIOnastCK78GrVGtvpCOxnzPypP6zFt3vB/JVHP03CJ/PLbB3ZdCqGkMY1zHUhoFKh7QuA4IBKVPP9+1G4PxyP4vaG1d0VNcemPw8Q0rmDeexrWJektAxiEy7/nKJjs4b4ZF8sDG5Yl5gL7jtulmuTb5/83XdU6FVwXxHwzDjiPv4YZxHrQaU7+pH43fduy5nfpgMnCWnfzFwv6gZm7yMu//zpyx37GHZTezyzz6mr+JUrhcwnCOlwKXN1s91ZaGav3Mz23MwKc58HkJKRiX9FvxLNp+o1Rsedg/PR5rnIH6EYwa6ddir4evTODQDoP7ehmgb/4/fq8COQVDrHyE0HTxLSLk8dF7le5KljhxOFWclKQWrGpTrOKpW7/K+mduc17dqSGh5OWkQk2mbj7KpvCbztVpcydR96kPBPFmJLNPdbWefNgaTlmzQmfvtOtMOBIy2NpAMH8e/Rw21ZRT6GIf+K8+8qdKWlbgH8+TfL7weWAauA25VSHnmW3auU2oM5dVFl4DulVAXAV2t9Mt/3/JH9u/LrjXlHBMB6oLZS6qhSao5S6sZ8ZZcopfZk/84f8i3remlZ9r8GeZZ9CDyglCp4n2wJik1JJ7C8T87rgPI+xOTrSMgrKSOLLSfOcX1d80LQwZiLRCelcWMD90/5AWBU8ccZF5Pz2nk+1pz6oAgevUOw/74957WqFkC5j5bh98Vasr5a7Pa7EQAofw06MT7npU66ABVcp4+iwjXm+5fKJF6A8mYZVTUQVbcJlpFTsDw6HmrWd3vk2ORUAivmNlICKvgSk1T4qJjhi9bSdeZn+Hp50qtFbrZ3fv6NHm98wfd7j/HUzR3cnlmVr+RShyQn5NRhsb8ruDP6xIESSpb9nZWqwMU861tCvPle3jIVq0BCdhmnE9JTC3SGqDad0GdOmB1jTgfOr+ZgeekDLK8uRgXWRu/4uWQzJ+TNfN7M+HeZM1LBt3zRmbMZj0/BMuNzyEhH79mOO8SmZLju3/x8cjoJCpOUaWNLeAzX1y44lVBpiU1KI7BC3m2vHDGFnGwADP98HV1nLcHX04NezeuVUkJXRjV/nLG5U844Y2NQ1Yqe6sOz3wBsO82OVcfxI3h07Axe3qiKlbC2uw7Dv+jPlpSYCwkEVsndNwRWrkRsERdEXp77Bf1ffI0536xD57ngvf63vYQ8P5On3/6EqHj3n4jGJiYTWCl3uwqoVJ6YxIInZe+vDWVI92vx8Sz6RtJvdobRtbl7jyOqcjX0+dic1/pCLKrK5U2zZdSoDakpeD43A+9ZC/F4eJTbG88egYHYoqJyXtuiorAGuK6L3i1a4FG9OimbN7u87xkUBFpTd9Ei6q9ZQ5URIxCFswa41rM9OgqPoup5y+b8H8ezVm2C1nxH3aXLKNfhWrfnzS82KaWQ7bDghZX3f/yVITd2+Nvt0F08AgKwu9RxdIE69squ49QtW1zeV+XKUWXkCM6//15pRC2UNSAAe1TuMcUeE40lX37PZs2xBlYnPXRLKafLFZuaSaBf3vaFNzGpxe/UOJuczpnkdDrWrPLPhf+jmIuJBFbJHWgQWLlikZ3oLy9YTv+Js5mz+meXY98lX2/dRdfWTd2W1RoQiO1c3n1yNB4BrtOqXNpXJG8uuK+4pGLfviSsWeO2nPnFJqUSmOdCekBFP2IK6WwEGL5gNV1f+cQ8f2rVEIBT5xPYHX6Oez/4ioc//pp9p2MK/WyJZk5Mdd2vVfQrdL8GMHzeN3SdMg9fb096tW4EwIshNzHr+230eGUBs777hTG3lfBUTPnOn/TF8+Z7eahKVdAX48wXTiekp+WeP1UJxPry+1jGvo5qWNhlHfeLTUwhsFKe9aLS39TxglV0nTYfXy8PerU214sX+93IrB9+ocf0T5i11g11XGjmq6fd6V29Oulnc8fxpp+Lwru6a+esX8P6+DVoQJcf1tD1p7X49zAHPSXuP4D/zd2x+PjgWbkyVbt0xqdm6VzXEuL/gyutI8GFUupDpdRepdTvSilPoA/wrdY6CdgF5O2SXK61bgMEAvuA54rxqzYrpc4Ct2F2VKC1TgHaAyOAOGB59rMYLnlAa90m+3f2yfd9v1xalv0v577d7OyfAaOLkc+t7E4nz36/kwfbNaJ2JT+cWvP65j08371NWUcrlLXHbVgaNSNr5Wc57+m4GNIev5/UR+7E45a+qEqlMB3Tf2UY4OOHY+4UHOuWYbnvybJO5GL+kNvZ+sJDZNkd7DqZexAfc8t1bHr+QfoGN2LJztKdu/a/UC06ogLronetL+soBQXWwbhjCM4vPzRfGxZUlz443ngax4TB6HOnUL3ce6trsQXWNqc7Wj7H5W3nR1NwTBgMVg9U49ZFfLj02J1Onl23mweDg6hd0f0jfUrC/Id6s/WZ+8lyONkVHvXPHyhjnr36Ym3anIylCwGw/7YD245fKD/3c3ynvoH9wN4rYiT3JbOeHMyaN17mi8lj2H34BKt/+Q2Am9q1YuN7U1j9xkt0atWEl+Z8/g/fVDoOnYnh9PkEegY3KbLMxz9tx2Ix6NehbE6mL4thwWgWjO2zD8h4YRgqoAaW7vmbT6VMKQLHjyd6+vSCiywWynXowJmxYwm/5x4q9OqFbyf3PjPjf5ZSBLw8npgZBevZHhfHsa5dCL+jHzEzplPznbfNZ1JcYQ6djeV0fAI9sy+yXXGUIuDll4mdOaPAoqqjn+bCwoXoNPdPp/KvKUWV518i/o2CU1dejX48HkWv+gFYjNK78/GfzBr5AGumP8sXLz/B7iPhrP51t8vyNb/uZv+pMzza56ayCQigFNUnTiCqkH3yJT5t2qDT08k8erTIMmVp/rAQto4fap4/HTfn8Hc4nSSmZ/LlqIE8e3tnxi1ZV2hHTlmZP2IAWycNz85sTi305Y4wXryjG5smDuOFO25k4oqSG9D0nyVdwD5+MPYZT+H4ej6WR543p0u8gs0f1p+tE4a51vHOMF7s141N4x/lhX7dmLhiQxmnNF1N7U5lseLXIIhf7xjA7uGP0+adN7FWqEDclq3EbthI1x+/o/38j7jw+x9oh6NMswrxv+SKekYC5rRFOU/F0VqPyn42wR+YnQaVgH3ZUz2UA9IBl/satdZaKfUd8JTW+jWlVKpSqn6+uxLaA3knCe0OJABLgKnAuOzvcgBbgC1KqX2YD2xeVAJ/5zuYd14sLKqAUmoEZicGHz3Uh+Hd2v3jly798xgrwsxnCrSqfg3Rybl3IMQkpxPgV/gBdvJPf1D3Gj8e7tAYMJ+NcOx8IoO/NEeCnE/NYNQ32/hwQBe3PXDZGR+LR57RrkZVf5dRj5dY2l6H5/1DSX92RO50RnnoC+dxnjqBpWVb7Ns2lnhO1bEnRgezp1ufPYmqWIVLzUBVoXLBWymTLprvXypTsTIkm2V04kX0wewpHs6eNKeBKFce0kr2FsGlO/ez4g9zaoZWNasRnZg7CjomKZWACkXfXuvlYaVHs3psOnSKTg1dH9zWN7ghj332I0/dXPKjB1W7m1BtzKlQdNQpVIXKaLL748pXyqnDy1avKarTbTiXvJU7lVQJ0QnxqGvyjHSvVAWdEO9aJjEeKlWFhPjsDiTf3GmYKlXBMvxlHJ+/bd7eC1Are3RH9mvnn9swbrmbkjrl0AnxqEp5M1d1ubum0MzevpCanJt52Ms4Pn8nN3Nedht63y5Uq47oIyUzz/HSveGsOBABQKuASq77t5R0AvwKn2Jg8qa91K3ky8NtGxS63J2W/naQFbuPANCqZlWik/Jue2kE/M0tzF4eVno0qcOmwxF0alCzyHLu4oyLxfDPHSVo+Aeg4wqOoLN2uB7vwcNJHvWIyz4547P5ZHxmPovEd/LrOE5HuCXnkvWhrNxk3vnSsn4dovPcRRB9IQH/ygVv/guobI7c9PXxpm/n9uw7EcGd3TpyTfnc/4+7e3TizaXueSjb0tDdrNixF4BWdaq73BYek5BMQEXXO3/2hp9lf2Q0PafMweHQxKekMvi9JSwebc7QuGpXGFsPHOfTJ+93+3Rz+kKcy92CqrI/Oj7u8j4bH4fz1DFzWiTA8VsoRqMWuPO0zhYdjUee0Wse1atjj8ldjw0/P7waN6beMvP5M9Zq1agzbx6RI0Zgi44m7bffcFw016mULVvwbtGC1O3uudPqamaPca1na2B1bHnr2des57pLc+u59tx5nB45gox9+3BkP8A6Y/9+siIi8QwKynngtbss3fYXK3aav6NV7cBCtkPXzoy9p86x/3QMPV+Zj8PpJD4ljcEfLmfxqHvdmvMSW0wMVpc6DsxXx754NmpMnSVLAbBUq0bNuXM5O3IkPsHBVOjdG//nX8CoUAGcTpxZmSR8XnqdpfaYGKzVc48p1oBAHHnyq+z81ReZmSxVqxH4wUdEP/m42x+4vHR/BCsOmRd8W1WrSHRKOmDe3RaTkkGAr1exv/OH41FM7Nq8JGO6WLLhV1Zu3QVAy6DaRMcn5CyLvpCI/zWFHfvM93x9vOl7Q1v2nYzkzi7mncXbDxxl7ncb+ezlx/H0cN/lAXtMNB418u6TA7HF5LYjDT8/vBs3pv6XXwLmvqLugvlEDBtOevY+oVK/viSs+c5tGS9Zuj2MFb+ZdzG3quVPdJ6R5jGJKQRUKLrD08vDSo/mQWw6eJJOjesQWNGPW1o2QClF69qBGAoupmZQuYhz83+d+de9rNhVxH4tMaXAfq1A5hb12bT/JJ0a12X1Hwd5OcSckKF3cCMmlfRF7oR4yHP+pK7JPufIwzzHqmaeVxkG+JTLPX+yZ/9tkcfR56NQ/rXQke6fum3p9r2s2GXuk1rVDiA6Ic96kXA5ddwge72oy+rdh3j5juw6bt2ISStL/toFXL3tzoyoKJe7CHxqVCcjynWAVfq5cyT8+RfabictMpKUEyfxa1CfhL/2cHT2uxyd/S4A7efOIeVE/klKhBD/1pXWkbAJmKGUelxr/VH2e5euct4PDNNaLwNQSvkC4Uqpwq6CdoFLVx2ZBbynlBqotU5XSvXMXj4y7we01nal1BjMjopXgWqAU2t96YjUBiiRKyFa6wtKqa+AR4FPiygzD/N5CjgWTLys64eD2jViUDtzpNTWE+dY8tdx+jStTVjUBcp7eVCtkMbKu7/sIyXTxiu9cy8Gl/fyZPuTd+a8HvzlZp67KdhtnQgAziMHMWrWRgXUQMfHYr2pFxmvTXApYzRogvfol0kb/xQ6Mfdikarqj05KNOda9iuPpUUwWd8scUtOvWsDjl1mQ0o1boO6/hZ02A6o1QAy0yAlwfUDKQmQmW4uP3MC1aYLeqc5Il4f+gNVvzk6/BBUCQSLtcQ7EQAGXd+SQde3BGDrkQiW7DxAn9YNCDsTS3kvT6qVd72YmZppIy0ri2rlfbE7nGw9EkH7emaj/9T5ROpVNU9ENh2KoH4198zZrv/cgv5zi/miQUuM9t3NTpcaQWZ9Fud5EgG1MXo/iHP5e26pXyKPoarVgCoBkBCP0b4bjkVvuhTR+3ZhdLwZ56kjqDad0UfDzAU+vlgem4xzzWIIz/PAuIR4VGBt8KsAKUkYTdtAzGlKzKXMlQMgMR6jXVcci/Nl3v8bxnU9cjMfy5N55CScaz5zzezpbY5Tlz4uAAAgAElEQVQGSroIhoFq0QF94mCJRR4UHMSg4CAAtobHsCQsnD6NaxIWfdHcvxUyV/G7Ow6RkmnnlZvL5u6qQdc1Z9B15oWErUcjWfLbIfq0rE/YmTgzc3nXw5e57dmoVr6cue0dO037OoGFfbXbOQ7vx6hVF6N6TZxxMXjcfBupU19wKWNp1JRyz08iZdxj6IQ8048ZBsqvPDopEUuDxlgaNsL+qnsuvj7QqxsP9DIftL3lz/0sXR9Kn07t2Xv8FOXLeRe4mGJ3OEhOTeeaCn7Y7A62/HmAG1qaI65iL+ZefNm0ex/1a7qn7gd1a8+gbu0B2HrgOEtC/6RPu2aEnTpHeW8vquU7Cb2vazvu62oOJjgbn8Dj81bmnMz9cvAkn2zYxWejH8DH0wN3cx4/jKpeC+VfHX0hDmuXm8l8Z+rlffbEIZSvH1SoBEkJWFq2x3nisFvzpoeF4VmvHh61amGPiaFi376cGTMmN1NyMkc65E7RV2/pUqJnziRj3z6yIiKoOmIEytsbbbNRrmNH4j8ttMn2/17eerZl1/PZsXnqOSWZo9fm1nPdJUuJec2sZ0vlyjnPn/CoXRvPevXIiox0e+ZBXdoyqEtbALYePMmSbX/Rp21TwiKizO0w30XC+zq34b7O5rHk7IVEHl+wqtQ6EQAywsLwrJtbxxVu78u5cbmPXHOmpHD8uty2fJ0lS4id+RoZ+/cReX/uwz+rjh6NMzWtVDsRADL378OjTj2sNWthj43Bt8/txD43Lme5Tkkhokvus5qqL/yc+Ddfd3snAsCglnUZ1LIuAFsjYlmyP5I+DasTFptIec/C2xd/5+TFFJIybbQJcN9zjR7o2ZkHeprToGzZc5ClG36lz/Vt2HsikvI+3vhXcp0+0+5wkJyWwTXlfc1j356D3NDCPGc8GHGWKQu/Zt6zw6hSoXyB31WS0vaG4ZV3n9yvH6dH5z4Y2pmczKF27XNeB325jOjpM3I6EVCKirffzomBBR90XNIGdWrNoE7mnbVbD4WzZHsYfYIbERYZQ3lvT6pVyH/+lEVapo1qFbLPnw6fon2QeRG0R4v6/HbiDB0b1OJU3EVsDifXFHO9uqzMnYMZ1Nl8jsDWg+Es+XUPfdo0ISwy+vIyHwqnfZA5eMW/gi+/nzjDdQ1rs/P4aeqW8HO6dMRRlH+e86cO3bB/+oZrmbBdqOt7osMPo9p1QR/JPhfxqwCpKaCdUDUQ5V/DfF5dKRjUKZhBnbLr+FA4S7bvpU+bxmYd+3gVv45PnuW6BrXcUsc5ma/SdmfCX3vwrV+fcnXqkB4VRc3+d7J7xBMuZaJ/WEfNu/oTufRLPCtXxq9BfVJPRYBh4FGxIraLF6nQvBkVWjQn7omCD+cWQvw7V1RHQvbdBHcCbyulnsecUigVmAy8DTyWp2yqUmob0C/7rXuVUl0wp2s6AwzJfv99zGEl+5RSDiAaCNFaF3hggNY6Sim1DBiF+dyD95VSlTAfknyc7DsELkPX7GcnXPKq1nplvjJvAW6by6Zb/eqEnoyi9/wf8PawMv223JOL/ovWs2pIL6KT05i78xD1K5fnrsXm7YoPtGvI3a3dP1d/AU4HGR/OotyM98GwYFu/BmfESTwfHonj6CEcO0PxGj4afHzwmWDe9qxjY0ifMg6jThBew8cAGlBkrfwC56kTf/vrSoI+ugfVOBjLuLcgKwvHN/NylllGTcfx4XgAHGsWYblrBHh4oo/uRR81RwToP7ei+o/A8tRMcDhwfj3X7Zm7Na5D6NFIes/+Em9PK9MH3JSzrP8HK1n15N2k22yM+uInsuwOnFpzXf0a3HuteTH07fW7CD+fgKEUNSr5MTmkm9szc2I/ukErjMdeBVsWzrWLcxYZQyfg/PRVAFT3Aajm14GHJ8ao19B7t6G3fY/R/S7w9MLon735Jl3AuXJOYb/p33E6ca74GMsTU0EZOHdugOhIjD4PoCOPoff/ht7xM+rhcVgmzYW0FBwLzYay6nY7VK2O0fs+6G2e6Ds+nGRm/HEZlqdfA4cdfSEO5xfvlGzmlXOxPDEFjEuZT2P0GYSOPJ6b+aFxWCbOhbRkHItmmZm7Xsp8L/Q2L6I45kwGpbAMnwBWD1AKfWwf+tcfSy5zHt3q+RN6Kobeizfi7WFhes+2Ocv6L93CqkE3EZ2cztzfj1H/Gj/uWmbegPZA6yDublmXfTEXGf397yRl2tgcHs0Hu47w3YPdi/htJZS5UW1Cj52h93srzH1ySO4Davt/tIpVj/cn3WZn1LKfc7e9oBrc28Gcq3jDoVNM/2EHF9IyeHzpepoGVmH+Q73dF9jhIO3tGfjN/hgsFrK+X4Uz/ATew0bhOHwA27Yt+Ix6BuVTDt9X3wLAGRNF6gujwWql/BxzO9VpKaROe8l88LKb3di2BaF7DnLrmGl4e3kwY+SDOcv6v/gaq157kSybnWGvzcFud+BwOunUqgkDbzanq/li3VY27d6H1WJQ0c+XmY894PbM3Zo3IPTASXpPm4u3pwfTH8id6qf/65+y6oWhf/v5V1eux2Z38Ogcc/RmcL0aTLnXjeuF00HWgrfxmjgbDAv2Td+jT4fjcd8wnMcP4/hjG0aDpni+MBPlWx5Lh87o+4aRMeZBcDrJWvwh3lPeBRTOk0ewb3DzHNcOB1FTplB38WKUYXBxxQoyjx2j2pgxZOzbR/LGokf/OZOSiP/kE+p/+y1oTcqWLQWeo1AWHl36KY1v6oJf1SrMPH2I7ybPYPunZTwNl8NB9NQp1Flk1nPCytx6Tt+3j5S/qedy115HtTFjwG5HO51ETZyAM7F0H5LerVkQoYdO0nvGJ3h7eDD9/tyZU/u/+Rmrnn24VPMUyuEgZupUai9cBBaDxBUryTp2jKpPjyFj/9/X8RXB4eD89GkEzvsEZVhIXrUS24njXPPkaDIP7Cdt86ayTghAtzrVCI08T+9loXhbLUy/qVXOsv4rfmXVQPPi/Zs7jrD2+Dky7A66f76Zu5rW4slrzQvzPxyPok/D6m6/Q+ySG4ObERp2mFufe8089g3L7eDqP3E2q14ZR5bdzrBZ87A7nOaxr0UjBt5kPjR81pffk5aZydgPzf1I9cqVmDP27489/5rDwblJkwn67DOwGFz8ytxX+I8dS/q+fSRv+PtR774dr8MWFWU+dLwUdWtaj9AjEfR+4zPzWD3w5pxl/d9Zxqox95OeZWfU4u9z23ANanFvR3P9GdChORNWbuSO2UvwsFiYcU9Pt68f3ZrVI/RwOL1fW2S2O+/tlZt59hesGvcg6Vk2Rn26hiyHA6dTc13DWtx7g9l5MnVgT2Z+uxWH04mn1cLUPH9ziXA6cXz5EdanXjXPRbavh6hIjL4PmudPYbtw/voTliHPYp26AJ2WjOOT1wFQjVph6fugeZe51jiWfgBp5p0BRv+hGNfeBJ5eWGd8hvPXn3Cudc8Aw25N6xF6+BS9X19snlcPzH1weP+3l7Bq7ANmHS9ak71eYK4X15vrxdS7bmbmmtDcOr7L/Q8DvprandrhIOyFl7lhxTKUxULk0mUkHzlC0xefJ2HPHqLXrSd202aqdb+RHttD0Q4HByZPw3bxIoaXF13XmncW25KT2f3YKJnaSFzVlFK9gXcBC7BAa/1avuVemFPotwfigXu11qeyl72EOYjdAYzWWv/0n/NcSfPzicJd7h0JV4q0Fe65eOhOPte678Fi7qCC/3mqqyvO8SNlnaDY9Llz/1zoSlJKJ60lSTUpev7NK1bly3u47JUi6YMrY67/4qj4/ltlHaHYdNzZso5QLJnzFpR1hGIL/+vKf2ZIfu+Hn//nQleQ0fXL7qH0/1aT914s6wjFcuzp18s6QrF5elnKOkKx1R12W1lHKBZ1Q8+yjlBsB+67Yh75d9mav/NMWUcoHsvVt+05f3D/1FMlzejdt6wjFM8V/kyIwnw/6KWyjlBsIfHRV9/J9RXAPm7AVXX9sqxZZ3/zt+uZUsoCHAVuwRw0/ztwv9b6YJ4yTwCttdaPKaXuA/prre9VSjXHfA7wdUANYAPQOHsa/3/tin7YshBCCCGEEEIIIYQQQgjx/8x1wHGt9UmtdRbwJRCSr0wIcGnqjpXAzcq89S0E+FJrnam1Dsecaee6/xpIOhKEEEIIIYQQQgghhBBCiCtHTSDvnH5nst8rtIzW2g4kAlUu87PFJh0JQgghhBBCCCGEEEIIIUQpUUqNUEr9keff5T6bt8xcUQ9bFkIIIYQQQgghhBBCCCH+l2mt5wHz/qbIWaB2nte1st8rrMwZpZQVqIj50OXL+WyxyR0JQgghhBBCCCGEEEIIIcSV43egkVIqSCnlCdwHrMlXZg0wOPvnu4FNWmud/f59SikvpVQQ0Aj47b8GkjsShBBCCCGEEEIIIYQQQvx7SpV1gv8pWmu7UupJ4CfAAnyqtT6glJoG/KG1XgN8AnyulDoOXMDsbCC73FfAQcAOjNJaO/5rJulIEEIIIYQQQgghhBBCCCGuIFrrH4Af8r03Kc/PGcDAIj47HZheknlkaiMhhBBCCCGEEEIIIYQQQhRJOhKEEEIIIYQQQgghhBBCCFEk6UgQQgghhBBCCCGEEEIIIUSRpCNBCCGEEEIIIYQQQgghhBBFkoctCyGEEEIIIYQQQgghhPj3lCrrBMLN5I4EIYQQQgghhBBCCCGEEEIUSToShBBCCCGEEEIIIYQQQghRJOlIEEIIIYQQQgghhBBCCCFEkaQjQQghhBBCCCGEEEIIIYQQRZKOBCGEEEIIIYQQQgghhBBCFMla1gGEEEIIIYQQQgghhBBCXMUMGa/+v07+h4UQQgghhBBCCCGEEEIIUSTpSBBCCCGEEEIIIYQQQgghRJGkI0EIIYQQQgghhBBCCCGEEEWSjgQhhBBCCCGEEEIIIYQQQhRJOhKEEEIIIYQQQgghhBBCCFEka1kHEP/MuXt3WUcoluiIhLKOUGz1H2lT1hGKx+GEipXKOkWxnFi4sawjFFv9e28o6wjFomrVLusIxWb7ZUdZRyg2a+XyZR2hWH4/Gl/WEYqtZ1ZmWUcoNuc3X5V1hGLZ9cupso5QbBfsjrKOUGyj61ct6wjF8t7J82Udodg+7nZXWUcoloYDNpR1hOKzWMo6QfFlXl3HEefqpWUdodjOpFxddQzQbNuWso5QPNar73KNslx9Y1Ud360u6wjFkhWTWNYRiq2Ot1dZRxClRamyTiDc7OrbywshrrpOBCGEEEIIIYQQQgghxNVLOhKEEEIIIYQQQgghhBBCCFEk6UgQQgghhBBCCCGEEEIIIUSRpCNBCCGEEEIIIYQQQgghhBBFko4EIYQQQgghhBBCCCGEEEIUyVrWAYQQQgghhBBCCCGEEEJcxZQq6wTCzeSOBCGEEEIIIYQQQgghhBBCFEk6EoQQQgghhBBCCCGEEEIIUSTpSBBCCCGEEEIIIYQQQgghRJGkI0EIIYQQQgghhBBCCCGEEEWSjgQhhBBCCCGEEEIIIYQQQhTJWtYBhBBCCCGEEEIIIYQQQlzFlCrrBMLN5I4EIYQQQgghhBBCCCGEEEIUSToShBBCCCGEEEIIIYQQQghRJOlIEEIIIYQQQgghhBBCCCFEkaQjQQghhBBCCCGEEEIIIYQQRZKOBCGEEEIIIYQQQgghhBBCFMla1gGEEEIIIYQQQgghhBBCXMUMGa/+v07+h4UQQgghhBBCCCGEEEIIUSTpSBBCCCGEEEIIIYQQQgghRJGkI0EIIYQQQgghhBBCCCGEEEWSjgQhhBBCCCGEEEIIIYQQQhRJHrach1JqPDAIcABOYCTwOvCs1voPpZQfMAvoBSQCGvhYaz1fKVUPCAema60nZH9fVSAKmKu1fjLP79kDHNZa31ei+Zu3x3LPSFAGzl9/wrl+hWsBqxXL4GdRdRqiU5NxLJgJF2Khsj/WyXMh5gwAzvAjOJd9AIDlyWmoipXBsOA8fgDnl3NAO0sydo5yXbpRbfwEMCwkrfyKi/PnFlrOr9etVH/vQyLvvpPM/fsp16kzVZ55DuXhgbbZOP/Ga6Tv2umWjHlprZnx4w5Cj53Gx8PKjDtvpHmNqgXKjfj8R+KS07A7nbSvG8jE2ztjMQxm/bSLLUcj8LBYqH1NeabfeSMVfLzcntsl/zebCD100sw/qA/NawcUWX7U/G84HZ/ImhcfKbWMAOW6dsN//ASwWEhc8RUX5xW9XtT44EMiBpjrhXfr1vi/8ioASini33+PlJ9/LpXMRp+HUI2DwZaJ45t5EBVRsFCNelgGjACrJ/roXpw/fG5+9p5RqKrVzTLe5SAjDcecCW7Nq7Vmxua9hIZH4+NhYcatHWgecI1LmXSbnbHf7+J0QgqGoehevzrjurYC4Mu9J1m25wSGofD1sDLllnY0rFLBbXmN1tdifehJMCw4tqzF8d0yl+WqSWs8HhqFqt0A2wfTcP4ear5fpwEej4wFH19wOrCvXoJz12a35VTN2mEMGGbuP3esR2/42rWA1Yrx4FhU7YaQmoRj0Sy4EItq0gbjjofBYgWHHee3i9DHwlzrYPh4VJVAHK895bb8VXrcRNPpr6AsBme+WMap9z4oUCYgpB8NnnsGtCb5wEH2PTYK71o1abP4UzAMDKuVyAWfcmbx527LeYnWmhlLVhO69xDenp7MGH4vLerVKlDu4ZlziEtIxtvTA4AFzw2nSoXyLFq3lZVbd2ExLFSu4Murj95DzaqVSzynatEeyz2PgWHg3LYO50/5j9UeWB55BlWnETo1Ccf8mRAfay6rWQ/Lg6NR3uVAO7HPeBrstpyPWp6YjKoaiH3a4yWeuzCVu99Eo+nTwGIQ9cUyIt//sECZanf0I+i5caA1KQcOcvDxJwv5JvcJuLk7wTNeQVkshH++hKPvuq7HradPpVqXzgBYfHzwqlaV74KaANB5xVIqd2hP/M7f2H7/Q6WW2bdbNwInTkJZDC4u/4r4uR8XWq78rb2pPWcOJ+8MIWPfPjxq1qTB+p/JOnkSgLQ9e4ie6N7jx+V46JMPadW3N8mxcbzS6vqyjgOY+4vpb77N1l934O3tzWtTJtCiaZMC5b5ft565Cz8DpfCvVpVZr0ymcqVKHDpylMkzZ5GZlYXFYmHKC8/SumVzt2Q17ngE1bSt2ab4ag6cDS9YqGYQlntGgYcn+vBfONcsND97+4OoZu3BYUfHx+D8ag5kpKEatcK47YHc48zaz9EnDpRM3n6DUU3aQFYWjpUfwblTBQvVCMIy8DEz75E9OL9b7LJYdbkdy+0PYn9lBKQlo9p0xuh2ByggMwPHt59AdGSJ5M1P9bwH1aAl2LJwrl0MMacLlukWgmrZEbzL4Zw9puCXNGmLpf9IHItmuC2nO+qZajWw3D0SagThXL8c/cvaEs9dtcdNNJvxCsow2xYnC2lbBIb0o9Hzz6Cz2xZ7R44CoHfMaZIPHgYg/exZ/nxwSInny8sIGYpq1tas4+UfFLHt1cdyX/a2d+gvnKs/BUC1vgGj1z3gXxPHey/BmRPZX2rBuOdxVM0gs324eyt606qSy9xvMKpJ9v5iRRHrRc0gLAMfN89BjvyVs14Yt9yDat4etEanJOFc8REkXwQfX4y7R6IqB4DdhmPlxznXDf4L1awdxt0jzPbQ9vXon1e6FrBaMR4ah6rTEFKTcXz6unntom5jLPdfaksonD8sRYftAP+aWIa+kPv5KoE4136B3rLmP2fNydyiA9b7HzPPQX75EeePX+XL7IHl0ecw6jZCpyRhnzsD4mMwOnbHuHVg7vfUCsL+yij06ZMY196Icft9oCzosF04vv6kxPLmZ2l3PV7Dx4JhYPt5DbaVru1zo0UbvIaPxajXgIw3JuLYnnue5Dl4FJZrOwFg+3Ih9m0b3JazMOVvupFa0yajDAvxy74k5sOPXJZXvuduakx4GVt0NADnF35G/LIvSzWjEP9fSEdCNqXUDUBfoJ3WOjO7E8AzX7EFwEmgkdbaqZSqBgzNszwcuB24dNY2EHBplSulmgEWoKtSyldrnVoyf4CB5b4nsL83Hi6ex/riOzjDdkJ0buPX6HQrOi0Fx+RhqA7dsPQfiuOT18yF56Owzyh4QcqxYCZkpANgGTEe1b4L+o/QEonswjCoNmkKZ4cOxh4TTZ0V35C6aSNZJ467/pm+vlR6aDDpe/bkZrx4kXOPj8ARG4tno0bUXLCQ8Bu7lHzGfEKPnSYiPpF1o+8h7EwsU7/fxvIRdxYoN3vgzfh5e6K1ZszyDfx0IJw+rRrQqUFNxva8FqvF4K31u5j/yx6e6dXR7blz8h8KJyLuIuvGDyMsIoqpK35m+bgHCy37896jlPPKvzmUAsPAf/IUzj4yGFt0NHW//obUjUWsF4Nd14vMo0eJHNAfHA4s1apRd833pGzaBA6HWyOrRsFQJQDHO89CrQZY+j2CY96UAuUs/YaYJ8JnTmA89CyqUWv0sTCcX+VeiDN634/O3v7cKTQ8moiEFNYNvZWwqAtM3fgXywf1KFDukfaN6FjHnyyHk6ErQwkNj6ZbUCB9m9bmvuD6AGw6cY43toQx7y43bYPKwDr4aWyvPYe+EIfntI9x7t6OPpensyY+Btvc17H2udf1s1mZ2D6eiY45C5Wq4PXqXDL3/QZpJbMbzp/TGDgSx4eTICEey7Nv4dj/m8s+WV1/C6Sl4HhlJKpdV4w7BuNcNMu8eDz3VUi6ANXrYHl8Ko5JuR14qvUNkJlR8pnzMgyavTaD3QPvI+NcFNev/4G4dT+RevRYTpFy9YMIevopfrs9BHtiIp5VqwCQGRPLrtv6obOysPiWo1PoZuLWrSczJsatkUPDDhMRHce6N15k74lIpi3+muWTny607KzHBtEyqLbLe83q1mTFlDH4eHmybON23ly+lrdHlfDFY2VguX8U9ndeNo/VL72LM2wXROVeaDI690KnpuCY+Ciqw41YBgzFMf81MAysQ5/HvnAWnAkH3/Iu+zPVthNkun9/kRvUoPHr09kz8H4yz0XRYf0PnP9pPWl51hGfoCDqPv0kf/a9E3tiIh7Z60hpZmzzxky2DbiHtHNR9Ni4jqh160k+cjSnSNj4yTk/Nxj+KJVat8x5ffT9OVh9fAga8nCpZq4+ZSoRgx/GFh1N/VXfkrxxA1nHXY97hq8vlYcMIe2vv1zez4qM4GS/vqWX9zLsWLSELR/MY8hnhQ8EKAuhv+7g1OkzrF/1FXv3H2DKzFmsWLzApYzdbmf6W++wdsVSKleqxBvvfsiS5St5auQwZr33IaOGD+XGzjewddt2Zr33IZ/PK9iR9l+ppm2haiCON0ZDnUZY+g/D8cH4AuUs/Yfj+HouRB7DGPoSqkkb9JE96KNhOH9cCk4nxm0PYHTvj/PHJeaAokWvQ9JFCKiNZdh4HNMf++95m7SBKoE43hwLtRtiufNRHHMmFsx751Ac38yH08cxhryAahyMPrrXXFixMqpRK/TFuJzy+kIsjnnTICMV1TgYy4DhhX7vf1a/Jeoaf5xzJ0GNIIxbB+H87PUCxfTxMPTuzRgjpxX8Dk8vjA490GdPlny+bO6qZ9JScHy3GKN5B/cENwxavD6D3+422xadfv6B2HU/kZKvbdHg6afY0ce1bQHgSM/g1+63uCdbPqppW6hW3RywUacRlrtGmB0C+VjuGo5jxcfmtjdsPKppW/Thv9DRkTgWzzI7ZvJ+b/ANYPHA8dYz4OGJ5bl3cPy1DfL+P/zbzE3aQNXqON4ck71eDCt0MJLlzkdxfD3PXC8eeRHVuA366B6cod/Bz+aFcdWpN8bNA3B++wnGTXeiz0Xg/Hw2VKuBETIU54JX/2NYA+Oex3F8MMFsJz/3No59u1zbyTf0gvRUHFNHoNp3wwgZgnPhG3AuAscbY8DphArXYHnpfRz7d0HsWRyvjc75fsv0xei9O/5bznyZrQ+Mwjb7JbMNN+F9nHt2urbhutwKqSnYXn4E49obsdz9KI65M3Du2pwzeEnVrId11GT06ZPgWx7L3cOwvfIkpCRiGfosqmkb9OE9RaX49wwDr8eeJX3iaHR8LD6zF2Lf9Qv69KmcIjouhsx3XsGj/yCXj1o6dMJo0IT00Q+Dhwc+M+dg370d0tNKPmcR2WtPf4Xj9z+ALSqaJj+sIXH9BjKOHXMplrDme85MmFQ6mUTRlCrrBMLNZGqjXNWB81rrTACt9Xmt9blLC5VSDYDrgAlam0PytdZxWuu8rcs04JBS6lLr614gXzc19wOfA+uBkJIKr+o1Rsedg/PR5siiP0Ixgm9wLRN8PXqn2XOs/9yGahr8z1986SKmYTFHLemSSuzKu3UwtsgI7GdOg81G8g9r8b25Z4FyVUaP4cKCeeiszJz3Mg8dxBFrjtbMOnYM5eWN8nD/Re9NhyMIadMIpRTBtQNIzsgiLrngwdTP28xid2psDmfOfrVzw1pYLeYmGFzbn+gkN1zM/Bub9h0j5NoWZv56NUhOzyAuMaVAudTMLBZv+YORvUp/FKF362BsERHYTpvrRdLatfj2LLheVH16DBfnz0Nn5q4XOiMj5yKb8vIC7aaVNx/VrB16zzbzxZkT4FMO/Cq6FvKrCF4+OaOT9J5t5ojB/N/VsqM5wsbNNp2IIqR5XXNdqFGF5EwbcSmuFyR9PKx0rOMPgKfFoLl/JWKSzTJ+Xh455dJtDnPEoJuoBk3RMefQcVHgsOPYuQmjfWeXMvp8jNk4z3f3lI4+Y3YiACTEoxMTUOUruSdo3UZmxvgYc5/85y+oVq4dhapVR5y/bTKz7fnVvIsF4MxJsxMBzJMTD0+wZvf7e3pjdA/BuT7/oaVkVWzXlrRTp0iPiETbbER/uxr/2251KVPzwQc4/eki7ImJAGSdjzf/FpsNnZUFgOHpBUbpNDU2/XmAkM4dUErRpmFdktIyiE1IuuzPd2zWEJ/sDtPghnWJuZBY4hlVUGN0bC/ZgGQAACAASURBVN5j9VaMYNd9qwq+Ic+x+hdU0zbm+83bo8+Gm50IAKnJueu4lzdGzwE4fii9kVcV2rUlPfwUGdnrSMyq1VTt7bqO1HhoEGfzrCO27HWktFRu35bU8HBSszOe+eZbauRbj/OqfdednP46d2RoXOg2bCmle2z2CQ4mK89xL/H77ynfs+CFs2pjxxE/d67Lce9KdfyX7aRduPh/7N13fFTF+vjxz5zdNFo6CR1C7x0Epdm72K5esCt6xWtDFAQLimBBvYqCYm+giApYEUXp0nuRDgES0giQQEiy58zvj9lksylIJEvw+3ver5cv2T2zu8+enD1nZp6ZOZUdhp858xbQ/9KLzfmibRuOZGWTmp7uV0Zjqg45OTlorck+epSasWbmqVKKo0fNsZGVnV34fEVTrbqgV3kH8CRuMzPqil+3qkdAaJjZDuhV81Gtu5p/b1tnOtsAnbgVIryzrJJ2myQCmBH3QcGmnn+q8bbsjF69wDzYu93MrCwt3pAwsx3QqxeginRcW5fdYpIfRSVug+NHvd9jO9So+NligBnUscE7qzlpl4mzaikzLJN2wdHSry+q15U4S34G2xOQGCGA+/noEVMHCdCgm4hOHTm6y1e3SJ5esm5R7+aB7CmlbnG6qdZd0SvmmgeJ28rex6FVfL+9FXMLf3uk7oe0JErQGkK8daOgYHOcVNCgIb/zxd7tpg3yV8fFqvmo1t7jouhghOAis+Tj6vhmLKUloSJjS7ZtyqthM3R60XryfFS7YvWhdmfhLJ1j4ly9ENXcW0/Ozy08rxEUXGobTzVvD2nJFZKgKXzPRs3963DL5mJ18O9vsTr0wFlsZsA7KxdgeetwfmW69cNZPs+8Z2wtdOp+yDbHu960GqtzYAZjWU1b4STvQ6ckgceDZ/4vuLv39iujU5Nxdm8vsU+teo2wN64Gx4bc4zi7tuPu7P/dA6lKxw7k7t5NXuJedH4+mTO/I/yi05NUFEKUJIkEn9lAPaXUVqXURKVUn2LbWwNrC5IIJ/AFcKNSqh5miaTiNYgbvGU+xyQVKkZENGT6GkA6M908V4SKiPaNOnEck0EuqBxHx+Me8Qauh19ENWnt9zrX/aNxj5sCuTnoVQsrLOSi3HFxeJKTCx97DhzAHee/zE5Iq9YE1arFsXlzy3yfahddTO6mjej8vIDEWVRq1lHia1QrfBxXoyopZSQDBn3yI71e+pSqIUFc2KpRie3frNpKr6b1Snll4KQeziY+snrh47iI6qSUkkh448eF3NavC2FBQSW2BZo7Lg7PAf/jIqiU48JdqxZH584t8frQdu1p8MNPNPzuB1KffjLgsxEAqBGJPnyw8KE+fLBkg7dGFPpIkTJHDkIN/6WEaNDcVCoPBnYUN0Bqdg7x1cMKH8dVCyMlu+wR70eO5zF3ZzJn1Y8tfG7Kmh1c9P4sXpm/nhH9TiJJ+TepyBj0wdTCx/pgGiqy/B04KqEFuN2mQRAAKiIaDhXplDqUjgovdk4OL1LGcUwnSdXq/mU69ETv2wEe0yFhXTYQ5/cZkBfYzsPQWvEc3+/bN8eTkgmpVcuvTNXGCVRJSKDrDzPp9tN3RJ/bt3BbSO3a9Jj7K73XrGD3GxMCPhsBICXzMPHRvgZzfFQ4qZmlJwNGvDeVq598lYkzf0GX0gD9et5SerVrUfFBRsT4NWrLvFYfLHJceK/VKq4OaI3rgedwj3wD68LrCl9jXXkLzi/fQF6AZ6oUERLvf4zkJicTUiver0xY4wSqNE6g0/cz6PTjd0T163va4gMIq1WLY0VizElKJqzYcVygSt26VKlfn9T5gannnCx3XDz5fvWh5BLXvdDWpj6UPbfk0mzBdevR6NvvaDDlc6p06RrweP+pUtLSiI/37df4uFhSUv07nILcbkYNH8oVN95Mr4uvZMeuXVx31RUAjHjkIV56fQJ9LuvPi6+/yZD/nvpo/lKFR6GLXEv0oQwIjypZ5nDGicsAquu5pY5yVW27m9HzFdHxHR5lPr8glpOpAx32xatadjaJ9BMsB6S69kVvDcBoXUBVj0BnFUl6ZR0q2RF7InH1UDUiYceGig+uqNOwnwMhtFY8x5P86xahpdQtqjZO4KwfZtJj1nfEnNu3cJsVGkLPX3+ix6zvqHnJxYENNjy65D4uVo87qTLF6HVLIDcX11Pv4nribZy530JOyfbX31LjJI+LE7RTrAtvwDV8AlaHc3C8sxNITsRq0838u25jU5cp5RxTHio82r+TP7OMenJZfRcNmuEaOQHXiDfN0suOfxeN6twbZ2UFr6IQGe0/gyczvWQbJDKmWH/LUajmn4y0uvYunJ2gU5NQcXUhOs4sCdqxJyoqlkBQ0bHo9CJtqIxUVPTJfZazexvuTj1MEqxGOK52nVExZS+JXNGC4+PJS/LVjfKSkwmKjy9RLuLSS2jxyywavvMWQbVLr+8JIU6dJBK8tNbZQGfgbiANmKqUuq2s8kqpkUqpNUqp4r1Qs4ALgBuBqcVe0wUz6yERmAN0VEqVehVWSt2tlFqhlFrx3qYAV/KOHMQz8lY8Y+/H/vpdXLc/ZkY2edlvPIln2E3gDvKNBDjdlCJm+AjSXny+zCLBTZoS/chjpsP4DPPuLZcyb+hA8jw2S3f5HzJvz1uNy1Jc0a5JJUVXts37Utibfojz2zWr7FBKpxSxj48g7YXSj4vj69ay57JLSLzuGqLu+Q8quBKWZ/qbrHY9zPJkZxiP4zD0x2Xc1LEJ9SJ8ibQBHRrz850XM6RXGyYt/bMSIzwJEVEE3fs4+e+8eNpmqvwt8fXMckdTJ5rHdRpBTLxphJ4BlNtFlYRGrLjqWtbfM5jWr76Mu4ZpLOUmJfFH3/NZ2K0ntW+4nuAAjdb9O8bdM5BvxwzlsxGDWbllFzMXrfTb/u2ilWzYvY87L+1bOQGWxXKhmrTGfv8lPC8NRXXsaWYr1E0wI9rWLK7sCEtQLjdhCY1Y3f86Nv1nMM1fHVd4jJxp6l7Tn/3ffl+iM+KMoxRxI0aSMnZMiU2etDS29TqHXVdeQcrYMdR57X9Y1aqV8ibiZOR7PHz+9XRmTP6IBbO+pXmTJuZ+CcDnX33D40MeYN4PM3h8yIOMHF12/fRMoM69GhzbN4q9QFxdrEsH4nz9buUEVlRQMFa//ji/TCuziEpohdWlH86sz8ssU3kU1nnX4/z29V8XrUwnsZ8rU0HdYulV17Lm7sG0+Z+vbjG3QzcWn38Ja+65j5ZjnqFKwwaVHO3fUL8JaAf72buxxw7G6nMFRNWs7KgKObOnYr9wH86ahVg9zGwRZ+5MCK2C64EXsHpebGY0Vfa1cs9W7DH3Yb/0MNaF14O7yIA3lxvVtht6deUODCiNatQcnZfrW5L1WDaeyW/gvmcE7mGvoDNSKn/flsJevQzPysWEvfQuoUNHY/+5wcxOOIMc/uVXNp51Nn9ecDFZ8xfQ4LVXKzskIf7PknskFKG1toG5wFyl1Hrg1iKbNwHtlVKW1trRWo8Bxiilsou9R55SaiXwCNAKuLLI5n8DLZRSu72PawDXAiVq71rrd4B3APLvvfSve7oOZUCRjLiKjDHPFX3PQxmoyFgzUsGyzHTHgmm5nizz/8Tt6PRkVM266MQia8558nHW/mGWR/rTfz3eiuBJScFdZESKOz4eT5ERrFbVqoQ0bUrdTyYD4IqJpfbESSQNvofcDRtwx8VT682JpAwbSv7ewCVepizdyLRVppO0be1YDhzx/flTjhwlrkbVMl8bEuTm3BYN+O3PPfRsbG4AOn31VuZtTeSDWy9DnYa15KYsWMW0P8xNW9vWr8WBzKzCbSmHsogL9+9wWLs7iQ17D3D+M5OwHYeM7GPc+sYXfHx/hd4nvEyelBTc8f7HRX7x46JZU+p96j0uYmOp89Yk9t9rjosCeTt24Bw9RnCzZn7PVxTV7XysLn0B0Pt3osKjClcBU+FRvmVqChw5iCoy+kfViPItMQBgWahWXXDeClxSbMqaHUxbb5ZIaRsXyYEs33TmlOwc4qqFlvq6p39ZRYOIatzSqWmp2y9tUY9n51T8OaKAzkxHFWlwqahYM6r7ZIVVIXjo83i+fB+9Y3MAIjT0oQxURJHO84gYvxGj4B0dGOE9V1sWhFY1y9UARETjumsE9qevmSnUgGrUAlW/Ca6n3wWXC6qF47p/DPYbJdfLPlXHkw8QWqd24ePQ2rXILTJKGsxIwsOrVqM9HnIS93J0xw6qJDTiyJq1hWVyU1LI/nMLkWd1J+W7ir9p4+RfF/HVvKUAtGlUjwMZhwq3HTh4mJqRJafex0WZ56qGhXJ5j46s35lI/3PMtP7FG7cy6bs5fDLiXoKDAlBFOpQOkb7RX2Veq6NizCjkItdqnZmO3rah8Lqt1y9H1W+MOn4c1aAp7jEfmeOiejiuIS9ivzqMQMo94H+MhNSqRW7yAf8yyckcWbkK7fFwPHEvOTt2EpbQiKwix0gg5SQnU6VIjGG1a5FT7DguUO+aq1j9WMn1r083T8oBgvzqQ7WKXfeqEdKsGQ2mmI5Ud2ws9Sa9w9577ub4+vXY3mXFjm/YQN6eRIIbNeL4+vWn90ucoSZ/+TVfzjA33WzbqgUHDvj264GUNOJq+o/M3Oy9l0b9uqbOdskF5/LOR58BMP37nxg59GHz/Pnn8sRzFZdIUD0uwup+HgB67w5URAyaLWZbRDQcLlanOHzQbyRv8TKqcx+slp3NPQaKCo/CdctQ7C8mnNLsR3XWBVhdzX2V9L6dZlaVt4/spOpA4d54o+IgMhbXg95VY2tE4bp/LPaEJ8wMzfj6WNfcjf3RC3CsgkZwA6pTH1R7s5SITt6Dqh7pW8m1eoSZlXAyQkIgpjbWgCHmcdUaWNcOxvl6YoWM/D9t+zmAjicfILS2f93ieCl1i0Mr/esWVRs34vDqteR6b6KasyeRg4sWU6NtG47t3kNFUT0vLvbbi/avzxerx3E4w/zeTlSmGKtjL9OWdmzIPoLevQVVr7HfbNtyxXzWhVjdCo6LHSd3XIQXPS5KKYNZSsi6fTj8+hXk5uB89XbhNtewN8xNj0+BPmz6JQpFllFPjoz11ZOL9l0USNmHzs2B2g0g0SzXpFp1Ru/dcfK/3ZOVWUrMxdsgmemmvyWzoA5XFbJ9MVvd+uIsm+v3Er12KZ61pi5r9b4kYB30OiMNFVOkDRVdE51x8ks/5X/5EflffgRAyNBncPafvhlNeQcOEFxkhkFwrVqFN1UuYGf6/t4ZU76gzsjKr9MJ8X+VzEjwUko1V0oV7RnrABTWTLTW24EVwHNKKZf3NaGUvhr4K8AwrXXhVVkpZQH/AtpqrRtqrRti7pFQIcsb6T1bUTVrm2lxLjdWl94lRjPrdUtRZ5n15VWnc9BbTIcy1WqA8h4KMfGomrXNmoUhob7lVizLTGkscgOkinR8/TqCGzTAXacuBAVR/dLLOPrbnMLtTnY2O3t0Y/d5fdl9Xl+Or11TmESwqlen9qR3SX9lHMdXrwpIfAUGdG/N9HuvZfq913Jey4bMXLMNrTVr96ZQPTSY2OpV/Mofzc0vvG+Cx3aYt3UvjWLMFOkF2/by/qK1TBhwIWHBpyenN6BXJ6Y/dhvTH7uN89o2YebyjSb+3UlUDwshtlgi4cZzOjLv2cH8+vQ9fPbAABrGRp22JAKY4yKoYQPcdc1xUeOyyzg6x/+42NG9G7vO7cuuc/tyfM2awiSCu25d06kGuGvXJjghgfz9+wMSp172K/bEJ7AnPoHevBLVwbu2Zd3GcPxYyYZZ9mGzDmndxgCoDuegN/uOXZXQ2qzreSRwa0oP6NCY6Tefz/Sbz+e8JrWZuWmPORaSMqgeHERstbASr3l90Uayc/N5vNjSRbuLJKTm7UymQWTgRsDqnX+i4uugYuPB5cZ11rk4q05yJLbLTdBDo7EXzMZZHoCbxheVuA0VW9s02F1urE690OuX+hXRG5YVNv5Uh7PNWtYAYVVx3fMUzrefwC5fskMv/An7yduxnxmE/dpwSE0KSBIB4MjqNVRp1Iiw+vVQQUHE97+K1Fmz/cqk/jSLqLPN+qhBUVFUbdyYnD2JhNSqhRVqElHu8HAiunfl6PYdAYlz4PlnM330EKaPHsJ5nVozc9EKtNas2b6H6mGh1IzwH/3usW0ys8wSdPkem7lrNtG0rpkavWnPfkZ9+DUTHrqd6BrVS3xWRdC7i1+r++CsLX6tXlLkWt0L/afpdNebVqLqNIQgs7ayatYWnZSIM/8HPMNuwjPyNjzjHoGU/QFPIgBkrV5DWEIjQr3HSNzVV5H+s/8xkv7jLCLO7glAUFQkYY0TyNlz+hqemavWUC0hgSr166OCgqh7TX+Sih3HANWbNiEoIoKDy1acttjKkrNuHcENGxLkve6FX3452XN+LdzuZGextWsXtvfpzfY+vclZvbowieCKiiq8J0lQvXoEN2xIXuLpXbrkTDbwX9cyc8rHzJzyMef37c2MH2eZ88X6DVSvVpWaMf4zp+JqxrJj524OZppr8aKly2ncyIyArhkbw7KVJmm+ZPlKGtaruOUp9R8/Y7/2GPZrj6E3LkN18q5hXb+pWdqjeOdY1iGzxnp904xRnXqjN5ljWTVrj9X3KnNj5aLLfoZWwXX7cLNG/p4tpxbvkl+w33gc+43H0ZtWoDr2MhvqNTF1oNLizc0x2wHVsRd680pI2Ys95j/YLz1gbi595CD2GyNMnSk8GtdND2N/OaEwuV5R9Kp5OB+OwflwDHrbGlQb7zrttRtB7vEy74VQQu5xnPFDcd4aifPWSEjaVWFJBDhN+znADq9eQ9UEX92i1tUl6xYpP5asWxzbnYg7PBzLO7M4KCqKyO5dyfYm+yqKXjwL+3+PYv/vUfPb8w4Son7Tsvfx8WO+316XvuiNy0/8GYfSUU3bmAfBIagGTU9pmU29ZDb2+OHY44ejN67wnS9O9rgocr4g2rdUjGrdxdx/Ecx9ILxtKtX1XPSuzf73U/g79mw19eSC+lCn3uh1xerJ65cWJnZUx3PQW731ZO8yQABExqLi60KGL7GhuvRBV/SyRmCSPnF1IMYbc7e+6GJ1OGftEqyeZu1+q3MvnD+LDJxQyvTRFEskUN076KVKNay+V2AvmFXhsQM42zZj1a6HiqsFbjfu3hdgL1vw1y8Es7+rmzq11bAJVsMm2KuXBSTO0hxbs5aQRo0IrmfOHZFXXcHh2b/4lXHX9CVJwi+8gOPbt5+2+IT4/43MSPCpBryhlIoAPMB2zDJHXxUpcxcwDtiulMoAcoDHir+R1nojsLHY072A/UVv4AzMB1oppWpprUsfIneyHAf7i7dw3/8cWBbO4tlmPcPLb0InbkOvW4qz6Gdctw3F/cx76GNZ2O+bkSiqaVtcl99k1kbVGnvKm2akT/UIXPc+jXIHgaVwtqzDWfDjKYVZJtsmdfQz1Hn/Q7BcHPl6GnnbtxF1/4PkbtjA0d/nlPnS8IE3E1S/AdGD/0v04P8CsP/O27APlhxdUZF6N63H/K17ufj1qYQGuRnT33dbjavf+prp915LTn4+9035mTzbwdGabg1rcUOXlgA89+Ni8j02d35i9mn7ujUZdUWvgMbsF3+rBOZv3snFz71LaHAQY/59iS/+lz5i+mO3nbZYymTbpD37DHXf/xBcLo58ZY6L6Ace5PiGDX7JpuLCOnch6u570J58cDQpzzyNkxn4mz3qrWtRzTrgevhlyM/D/sY34cg1+DnsiU+Yr/bdx7iuuRuCgtBb16G3+Sqaqm0PnPWBv8lygd6N4pm/6wAXf/AzoW4XYy7y3Yzv6k9/ZfrN53Mg6xiTlv5JQlR1rv3M7PeBHRpzXdtGTFmzgz8SU3FbFuEhwYy9KIDrcjsOno/HE/TYS2BZ2PN+Qu/fjfva23F2bcFZtRiV0Jzgh0abCnnHHuhrbydv+O1YZ/XFat4OVa0Grt5mbd38SS+gEwPQye04OF9NwjV4lDknL/kVDuzFunQAOnE7esMy9B+/oG4eguvJSXAsC/ujcQCoXpdBTC2si2+Ai28AwJ749Glp5BfQts2fj4+k05dTUJaL/Z9/wdEtW2k87FGOrFlL2s+zyfhtLtF9+9Bz4Vy0bbN11GjyMzOJ6tOb5s88ZZaNUordE94me3Pgl7vq074l89f9yUWPvkBoSBBj77qhcNvVT77K9NFDyPN4uGvcO3hsB9tx6Nm6Kdf3NZ1G4774nmO5uTw84VMAakVFMPHhOyo2yIJr9YPPgeXCWeS9Vl9xM3rPVnOtXvgzrjsexT36ffTRLOz3XjCvPZaN/es3uEe8DlrjbFiO3nDiDotA0rbN1uFP0H7qFJTLInnKVI5t2UqjYUM5smYtGT//wsHf5xLVrw/dFvyOtm12PDMaz2k4DxeNcc1jIzjnq89RLhe7J39O1p9baPX4Y2SuXkOytwOr7jX92ffNjBKv7/PDDKo3bYq7ahUu2bCKVQ8MIeW3uYEN2rY58Mwo6n/0McqyOPTVNHK3bSP2oYfIWb+e7DllX/eqdO1G7EMPgceDdhySn3wC5/DpO2+U5c4pH9Cs7zlUi4nm+b2b+e7psSz+4NNKjanP2T2Zt+gPLuh/PWGhoYx92peUvWrArcyc8jFxsbHcN+gOBg4ajNvtpk6teJ5/2lzDRz8xnLEvv4bHtgkJDubZkYFJ3uk/V6NadMI1bDzk5WFPm1i4zfXQS9ivmWaIPeM9XP8aDEHB6D/XFM4etvrfCW43rkFmhqNO3IbzzbuonhdDTDzW+dfB+eZ+K/a7z518p3lZ8W5ZjWreAdfQ1yA/F/urSb54738e+w0zQtSe+SGu6/5j4t26Br3lxPc8sM67BqpUw3WV95zsONgTApBI37EBndAG657RkJ+H8+PHvhhuH4nzoVlSTPW9BtWqq1kmaPDz6HWL0Au/r/h4yhCo/Uy1cFz/HQMhYSit4exLsP/36Kl3GhfEbdtsGj6SrtNM3WLflC/I3rKVpsMf5fCataTOmk36b3OJ6deHXotM3WKLt24R0bULbV55Ee04KMti5+sTyN667a8/9O/GunmV+e0Nf9Ps46lFfnsPjzP7BbC/eQ/XjfeBOxi9ZXXhb0+16WZ+f9Vq4LrzcXTSbpx3n0MvmoW64T5cQ/8HCpzlv0Nyxcyq0FtWo1p0wPXo6ybmaUVmETzwAvb44SbmGR/guv5ec1xs8R0X1iX/RsXUBu2gD6XjTH/PvLhmHVzXDwY0OmUfzteTin90+TkOzpdv47rvWVAWzpJf4EAi1mUDTd/F+mXoxbNRtzyC6+l34Gg29ofevouEVuY+UbYN2sGZ+pbv3BUcgmrRAefzN089xlJi9kyZQNBDY00bZNFsdNIeXFfdgrN7K3rtEpwFs3Df9RhBYz9EH83CM2ls4ctVs7bog2klkqGuG+/FqpcAgP3dZEgJzMA3HJvct18m7JnXwbLI//V7nMRdBA8chL3tT+xlC7CatiR0xIuoatVxdz0HZ+Agcu4bAC43VV4wf3d97Ci5r4w6vUsb2Tb7nniKxlM+QVkuMqZ+yfGt24gfOoRja9dx5Jdfib3jNsIvvABsD55Dh9nz0NDTF5/wdxpW2hCVS5V2k0FxZjmppY3OILt/r9jRIadDwqgA3SQvUMLLceO3M8SOB1+o7BDKLeGGHpUdQrmouqf3ht0VIX/B6UuYVBR3VGBGqwfKb59X/ijr8jr/uwpopJ5m9ocT/7rQGWTh9HWVHUK5HfScWevxnoyWkVX+utAZZPzOciwVd4Z4+8iuyg6hXDyj763sEMrPOxr5n0SFl1za7kymz4CkX3n98u68yg6h3C64rWdlh1A+7n/guM/silt67HRxjudXdgjlkpfyzztfbFt1auNmK0PH/XukR/xv8Dx58z+q/7KyuUd/+o87zmRpIyGEEEIIIYQQQgghhBBClEkSCUIIIYQQQgghhBBCCCGEKJMkEoQQQgghhBBCCCGEEEIIUSZJJAghhBBCCCGEEEIIIYQQokz/wLv3CCGEEEIIIYQQQgghhDhjqH/cvYNFOcmMBCGEEEIIIYQQQgghhBBClEkSCUIIIYQQQgghhBBCCCGEKJMkEoQQQgghhBBCCCGEEEIIUSZJJAghhBBCCCGEEEIIIYQQokySSBBCCCGEEEIIIYQQQgghRJnclR2AEEIIIYQQQgghhBBCiH8uZcl49f/r5C8shBBCCCGEEEIIIYQQQogySSJBCCGEEEIIIYQQQgghhBBlkkSCEEIIIYQQQgghhBBCCCHKJIkEIYQQQgghhBBCCCGEEEKUSW62LIQQQgghhBBCCCGEEOLvU6qyIxABJjMShBBCCCGEEEIIIYQQQghRJkkkCCGEEEIIIYQQQgghhBCiTJJIEEIIIYQQQgghhBBCCCFEmSSRIIQQQgghhBBCCCGEEEKIMkkiQQghhBBCCCGEEEIIIYQQZXJXdgBCCCGEEEIIIYQQQggh/sGUquwIRIBJIuEfQLldlR1CuST8u1dlh1BuevkflR1CuR3fur+yQyiXxsMGVHYI5Zb702+VHUK5uPYmV3YI5eZuVLeyQyi//PzKjqBcLty6qrJDKLdvm3Ss7BDK7dK7eld2COXSd938yg6h3FSNmMoOodzs36dWdgjl8nbvays7hHL7T41GlR1Cufzvxn/e+c0dUbWyQyg3z76Uyg6hXHTuP6tuAXDJjtWVHUK55T44sLJDKBcr+J/XXaOqVansEMrNCg6u7BDKJTQmsrJDKLf2o56p7BCEEBVEljYS4h/on5ZEEEIIIYQQQgghhBBC/HNJIkEIIYQQQgghhBBCCCGEEGWSRIIQQgghhBBCCCGEEEIIIcokiQQhhBBCCCGEEEIIIYQQQpTpn3f3HiGEEEIIIYQQQgghhBBnDqUqOwIRYDIjQQghhBBCCCGEEEIIIYQQZZJEghBCCCGEEEIIIYQQQgghyiSJv/LI+gAAIABJREFUBCGEEEIIIYQQQgghhBBClEkSCUIIIYQQQgghhBBCCCGEKJMkEoQQQgghhBBCCCGEEEIIUSZ3ZQcghBBCCCGEEEIIIYQQ4h/MkvHq/9fJX1gIIYQQQgghhBBCCCGEEGWSRIIQQgghhBBCCCGEEEIIIcokiQQhhBBCCCGEEEIIIYQQQpRJEglCCCGEEEIIIYQQQgghhCiTJBKEEEIIIYQQQgghhBBCCFEmd2UHIIQQQgghhBBCCCGEEOIfTKnKjkAEmMxIEEIIIYQQQgghhBBCCCFEmSSRIIQQQgghhBBCCCGEEEKIMkkiQQghhBBCCCGEEEIIIYQQZZJEghBCCCGEEEIIIYQQQgghyiSJBCGEEEIIIYQQQgghhBBClMld2QGcqZRSGpistb7J+9gNJANLtdaXK6VuA8YB+4u8bIDWepO3/EPAC0Cc1vqw97m+wO/AlVrr77zPfQ+8rLWee8oxt+yEde0gsCycP35B//KVfwG3G+vmIah6jeFoFvaHL8HBVGjQFNeN/y344jg/TkGvWwKANeABVJuukHUY+/n/nmqIpcd98QBU03aQn4cz4304sKdkoVoNsK66C4KC0NvWoWdNMc/H1cO6/FZwB4Fj4/zwKSTtMtsaNMe6eABYLjiWhfPxi387Rqv/HaiWnSAvD/uLN2D/rpKF6iaY/RgUjN68CmfGB+b5sGpYtwxBRdZEZ6bifPIK5ByFsKpYN9yHio4HTx721AlwYC/E1sZ18xDf+0bH4cz6Ar3gh78dfwFXp7MIGfQwWBb5v3xL/lef+n/P1h0IGfQwVsPGHH/pSezFvxduC771PlxdewKQ/8WHeBb+esrxnAytNWPnrGb+zmTCglyMvaQbreKj/Mrk5Ht4eOZi9h7KxlKKfk1qM6RPewCmr9/Fy3PXUrN6GAADOzbhuvaNAxav1aE7wbc/CJaFZ873eGZ85r+9ZXuCb38A1aAxef8bhb1kbuE2FRNH8L3DUNE1QWtyxz6KTjsQkDhV2664BwxGWRb2/J+wf/jCv4A7CPegYVgNm6Kzj5D/1nOQngIuN+7bHkI1bA7awTNlIvrPtea7de+H6/IBgIZDGeRPeh6yj1RYzNalN6OatYf8XOxv3oHkUs4VtRviuuZucAejt67F+dF3jKvuF2B1Px+0g96yFmf2FxARg+uBFyE9GQC9dzvOdx9VXMxX3Ipq3tHEPO0tSNpdslCdRriuv9fEvGU1zncfm9de8C9Uq86gNTr7CM60tyAr03yXhFZYl98CLpc5n7/zbIXFXEBrzZhXxzPvj6WEhoTwwpOP07pFsxLlvp/9K5M+/gxQ1IyNYdyokURFRBRu/2DyVF58YyJ/zJrp93xFiz23H22ffxZludjz2RS2v/5miTK1r7qC5sOGorXmyIaNrLrnPgBaPf0ENS88H2VZpM2dx4bHnwxYnADWlbf5josv3/Jdt4qq0wjX9YPNNWXLapxvPzKvvXQgqmVnsD3ojBRzXBw/hupwDlafK3yvj6+PPX546b+TU6C1Zsz4ScxfupzQkBCef3wIrZs18SuTfewYN93/WOHjA2npXHlBP0bcfw8AP/02nzc/moxSiuaNG/HKU8MqNMYS8b70CvMWLSY0NJQXnnmK1i1blCj348+/8Nb7H+LYNn17n8OjD94PwIefTmba9G9xuV1ERUYw9uknqVO7VsDiLS3+sdN/Z/7mXYQFuxn774tpVTeuzPL3vT+dvRmH+fax205bjODdzy//j3mL/jD7edQTtG7RvES572fNZtKHn4Dyni9GP01URASbt2zl6efHkZuXh8vlYtSwobRr0+q0foeibn5/Am0vv5is1DRGtz2r0uIoymrfjaBb7gfLwv79BzzfTvHf3qIdQbfcj6qfQN74Z3GWzfN/g7AqhI77GHvFQvI/ej0gMapWnXH96x5QFs6in3FmT/Mv4HbjunUoqn4T9NEs7PeeN22RqJq4n54EKfsAcHZtwfncnMNd/30WFR4Flgtn+0acLyaCdgISv9W2K+6b/2v28dwfsb//3P/7NW9H0E33oeolkD9hNM7y+YXbgh59AatxK5yt68l/dWRA4is15vbdCPLWO+053+OZOdl/e8v2BN36AKpBAnmvPYOzdG7httAv5qITdwKg01PIe+nxgMertWbMK+OZt3gJoaEhvPDU46WfK37+lUkffWrOFTExjHv2icI6xKdTv2byV9NxWRZ9zu7BYw/cW+FxBqKeHDT8FQiPgvxcAPLHDYesQxUTb+vOuG641/QDLJyFM+vLEvG6bh+KatAUffQI9jvPQ0YKqls/XBdd5ytXpxGe5/4Lqftx3TMSFVsLHAdn7RKc6R/+7fisq+/0tqVzsT9/E/bvLFmobgKuf9/va0tPf988X6Ua1s2PoKJi0QfTcD552bSly3rfyFhctw8DpcDlwlnwI/qP2RASiuu/Y3yfFx6NXjXf12Yvg2rREav/HWbfLvkV/dt0/wIuN9aAB1H1Ekyd/JNXIDPNvPa8a7C6n2f24fT30VvWFHljC9fDL6EPH8R5f6z5PgMfMn01to1O3IYz7W1w7PLt7FIEpD0SVhXruntQUXHgycf+6u3Cc3hF0Voz9pOvmb9mE6HBwYz9z0BaN6pXotwto8eTdugIocFBALw3fDDR4dWZPm8p46bMIC7KnDsGXNiL6/v1rNAYRSmUquwIRIBJIqFsR4E2SqkwrXUOcAH+SQOAqVrrsnrX/w0sB64Bil519wEjge8qNFplYV3/H+wJT8KhDFyPvoq9fqnpmC4o0uNCOJaN/ew9qE69sK66DefDlyApEXvcw+A4UCMS1/Dx2BuWmQve0jkw/wdcNz9coeEWatIOFRWH88ZwqJOAddnNOO8/V6KYddktON99CPt3Yg14GN2kLWxfj3XBv3DmzYTt66FJO/P44xchJMy812evwpGDUKX63w5RtegEMbVMIqV+U1zX3o09vmRF23Xt3aZDKHEb1l0jUS06ov9cjXXe1eht63F+m44692qsc6/G+eEzrPOuRSftwvnoJahZB+uau3DefgbSkrBfHer9cAvXU++gNyz72/EXsixC/jOUnCcfQGekEvbqh3iWLkDv3V1YRKelkPvaaIKuHuD/3br0xGrcnJwHboGgIMKen4hn5WLIOXbqcf2F+TuT2ZOZxaxBl7IuOYNnflnJ1JsvKFHu9q7N6d4gjjzb5o6pc5m/M5neCaaz55IW9Xjigs4BjxXLIviuIeQ++zD6YCqhL7yHvWIhet/uwiI6PYXcCWMJuvLfJV4efP8T5H/9Mc66FRAaZn6TgaAsgm6+n7xxw+BgGkFPT8BZvRidlOj7Kr0vgWNZ5A27Fat7X9zXD8Lz1nNYfS8FIP/JQVA9gqBHxpL/zH2gFO6Bg8kbcSdkH8H1r0G4zu+PPeOTigm5aXuIjsN+bSjUbYzritux3xlVopzrituwZ7wP+3Zg3TwU1bQdets6VKOWqJadsCeMBNsDVWv4XnQwFXviExUSp1/MzTuYc8fLD0G9Jrj631Xq57j634n99TuwdzvW7cNRzTqgt67Bmf8d/GIagqrnxVjnXWOSraFVsK66A/uD5+Fwhv93qUDz/1jK7r37mD1tMms3bmLUS68y7YO3/cp4PB7G/O8Nfvj8Y6IiInjpjbeYPG069w+6HYDklFQWLVtO7fiyOz4rhGXR7qWx/HHtDeQkJdP71584MGs22Vu2FhapmtCIpg/dz8JLriT/8GGCY6IBiOzahajuXZnb61wAzvlxJtFn9yBj0R8BCdUcF/HY4x4015Sr78SeUMpxcfVdJmGWuA3rjuGo5h3QW9aY68msz8FxsC4ZgNWvP85PU9BrFmKvWWheHF8P1y1DKzyJADB/6Qr27NvPz5PfY+2mLTzz6pt8+fZrfmWqVanCjPd9iZxrBj3ABb1Nw233vv28M/lLpkx4mfDq1cnIrJhOlDLjXbiY3Yl7mT3za9au38CosS8y7VP/zpDMQ4d46bXxfDP5E6KiIhn25Cj+WLqMHt270bJFc76e/DFhYaFM+fIrxr3+Bq+9ODagMfvFv3kXe9IzmTXiDtbtSeaZr35l6kMDSy37y7ptVAkOPm2xFTV/0R/mfDH9S9Zu2Mio58cx7eP3/Mp4PB7GvPIaP0ybYs4Xr09g8tSvuP+euxg3fgL3DbqDPmf3YN7CxYwbP4FP35lQKd8F4I+PJjP3zXe47ZNJlRaDH2URdPtD5I19BJ2RRsiYSdgrF6H3+37jOj2VvLefx33ZjaW+RdD1d2L/uS6gMbpuHIxn/EjITMc9/DWcdUv82iJWz4vQx7Kxn74L1aU3rqvvwH7/BbMxPRnP2PtLvK393vNwPAcA190jUZ3PQa+YX6JcRcTvvvVB8l98FH0wjeBn38JZtRidVOQ8mpFC/jsv4r70XyXj/GEqdkgorn6XV3xsJ4g56M4h5D33sDkunn8Xe8Ui9P7dhUV0egp5E8fivqKU4yIvl9zH7jh98QLzFy8x54qvp7B2wyZGvfgq0z70/515PB7GvDqeH6Z+Ys4V499i8pffcP/dd7BkxSrmzF/It5M/IDg4mIyDmRUfZCDqyVqb7zbpefTuraV96inF6xpwH57/jTC/vRHjcdYugeQi8Z7t/e09cQeqax9c19yB/e7z6GW/41nmHThWpyHuwU/Bvp0QHIIz+yv0lnXgcuMa8gKqTRf0hhXlD6+lty099j5o0AzXdXdjvz68RDnXdfeYtvSerViDnvC1pc+9Gr1tna8tfd41ON9/Wvb7Hsk0/7c9EByK67HXsDcuN8+/8ojv8x4eZ85Rf7FvrWsGYb/9DBzOwPXwS+a9inSYq+7nQ0429tj7UB3Oxrr8FpxPX4G4ulgdz8F+8UEIj8L1n1GmP8GbCFW9L0On7oOQKoXvpVfNx5ls6lTWTQ+jzjofvfjncu9zv68QoPaI1bc/OmkPzqevQmxtrKvuwHmvZD/OqZi/ZhN7DqQx69UnWbt9N89+8CVTRz9Satlx991Cm4T6JZ6/5KxOPHn79RUalxD/v5OljU7sR+Ay77//DXx+grKFlFKNgWrAE97XFbUWOKyUKtkTeioaNEWnJ0NGCtgenJXzUW27+8fVtrtJDAB6zSIzshfMqIiCDsug4MKKDgA7NsKxrAoN1S+mFh3R6xabB/t3QmgVqBbuX6haOISEFY5c0OsWm859AA0qxIw0V6FhaO+oDtX2LPTmVSaJAKf0HVSbruiV3lFdidsgrCpULzaqtnqEiT1xmwlr5TxUm27m9a27opebCppe/nvh88TVRW/bYP6duh8VWbPEd1dN25q/qXdUw6mwmrbCSd6HTkkCjwfP/F9wd+/tV0anJuPs3u5/DABWvUbYG1ebERG5x3F2bcfduccpx3Qyftu+n6taN0QpRfvaMWQdzyctO8evTFiQm+4NTEdlsMtFq7hIUrICn+QozmrSEn1gHzrVu48X/Yqr6zl+ZXTaAfSeHSWSBKpuQzPabp23gn48B/JyAxKnSmhujoO0ZHO+WDoXq+PZfmVcHXtiL5wNgLN8PlarjuY71m6As9k7mibrEBzLRjVs5h15oCAk1HxGWBV0ZkbFxdyyE7qgk3TfDgg7wbli3w4A9JqFZuQ2oLqdh57/vWlUABytuJkSZcbcqgt6lbezY+92E3Np546QMLMd04BQrbuYbblFjvPgEN/7djgbvXGZSSJAwL7LnPkL6X/pRSil6NCmNUeys0lN9/+basxooZyc42ityT52jJqx0YXbn3/tTR79739QBHZkSmSnjhzdtZtjexLR+fnsnz6T+Esu8ivT4OaB7Hr/I/IPHwYgr+C7aI0VEooVHIwrJAQrKIjctPSAxapad0Wv9B4XJ7qmhIQVuabMR7Xuav69bV3h+UMnboPwaIqz2p+NXrs4IPHPWbiEqy46zxwXrVtwJPsoqRkHyyy/a+8+DmYeoku7NgBM+24WA66+nPDqJsEfHRm4WSoAc+bNp//ll5p427XlSFYWqcX+vnv3J9Ggfj2ioiIB6NG9Gz/PMdfts7p2ISzMnNc6tGvLgZTUgMZb3G8bdnBVl1bmGtiwNlk5uaQdyS5R7mhuHh/PW8E9F1TO6Pk58xbQ/9KLzX5u24YjWdmkpvvvZ3O+gJycHHO+OHqUmrExACilOHrUjDDNys4ufL6ybF+wmGOB6KD8m0z9Yj861Vy37T9+w9WlWP0i/YAZXV7KaH3VqBmER+KsWx6wGFXDZui0JEg/YOoWK+ZjtfevK6r2Z6GXmBmtetVCVIv2f/3G3iQClgtcbnMgBYBq3AKdsh/trRvZS37D6uw/clWnp6D3lr6PnU2rT8sAm6JKHBeL55Re70zcUaJuX1n86hZtW5/gXFGkblHkXPH51zO5+9aBBHuTptHe83ZFCkg9OYBUo+bmGCj47S2fV/K316EH+g/vb2/lAlTLDiXex+raF2e5t82bl2uSCGBmQCZuh4i/d15WbbqhV8w1D/Zs9dZ7iv3dqkeaes8ek2TRK+YW9mWoNt3Qy83r9fK5vjZ2We9re3z1fbe79NHRsbVMu2HnphMHX7+J6WM56O1jWb3Q15Yv/H5dcQra+uv+MO13b3zO6oUmloOp5n3qe2dwhkejWnYuPB8W0JtX+f6duA1VSh2vvALVHiGuDnrHRvPvtCRUZGzJttkp+m3leq7q1c2cL5o24sixHFIzD1foZwghyk8SCSf2BXCjUioUaAcsLbb9BqXUmiL/hXmfv9H72gVAc6VU8aGYYzBJhgqjIqIhs0gl7FCGea5omfBoOOQt4zhmSmDBSNYGzXCNmIDr8Tdwpk4M3Ejo4nFXj0AfLtIBcSSz9IrFEV8ZfeQgynvxc36egrrgX1gPvYK64Ab0HO9yTtHxEFYF69ZhWIOeRrU7hSls4VHoQ759qw9nlOy4CY9GH/J1sOlDGWbqKpgLc8G01axDvgt30m6sgmRPvSYQGQvF/2YdzzYVkAqgomPR6b4OEJ2RioqOPanXOru34e7UA0JCoEY4rnadUTEBHmHslZqVQ3wN30iNuOphpGTllFn+yPE85m5P4qwGvvhmb91H/w9n8dCMRSQfCVwjT0UV38dpqKiT28dWrXpwLIvgR8cQOu4Dgm4eDFZgTtEqMgZ9sEicmWmoyGLHdGQ0+qA3gVVwvqhWAydxJ1bHHia2mHhUw2ZmKSbbxvPJ6wQ/9y7Br01F1W6AM/+nigu6RqTfuUIfPgg1ooqViUIXO1dQw5xPVHQ8qmFzXHePwnXHSKjTqMh3jcU1eLR5vkEFNvZqRPmfF8qK+QTfy7rwBlzDJ2B1OAenYDRQTC0Iq4rr7qdw/XcsqlOviou5iJS0dOJr1ix8HF8zlpQ0/6RmkNvNqMeGcMXA2+l1+TXs2LWb664w+fdf5y+kZmwMLZr6L3sTCKG14snZ75s0eDwpmbBa8X5lqjZpTLXGCZzz40zO+fl7Ys/tB0DmipWkL1zERZvWcOGmNaT+NpfsrdsCF2yNSHMd8dKHM07yuCjZWaK69ENvWV3y+fY9cNYEJpGQkp5OrZq+81p8bAwpJ0i8/DhnPpec2xvlbcjv3ref3Xv38+/7HuGGex9mwdLyj24sV7ypqcQXmRETH1eTlFT/ZECDenXZtTuRfUlJeDwe5vw+jwMpKSXe66sZ39L77NOTRC+QeiSb+AjfrMq4iOqkHC6ZSHjjp0Xc1qcLYcGVM9k4JS2t2H6OJSW1lPPF8KFccePN9Lr4Snbs2sV1V5nluEY88hAvvT6BPpf158XX32TIf/9zWuM/40XGoDOK1S8iT7JTTymCbhpM/uS3AhScV7G2iM5ML1mvjYhGZxatWxzztUWi43GPeAPXwy+imrT2e53r/tG4x02B3Bz0qoqpFxdXom50MN10jJ3JomJLHhdR5ejsDQom5Pl3CXnubayugalLFJeSmk58XLG6Rar/NSTI7WbUsEe4YsBt9Lr0alO3uNLULXYn7mXFmnVcf/s93HTP/azbtLnCYwxIPdnLfeejBD37Nq4rS59Z9rdERMNB3/lWH0qHyFJ+e6XEW5TVtTfOsrkl3z+sKla77ug/15TcdjJqFGtLF20nFwiP8q8bHSpSN6oeUbi0J1mZvrb0id43IhrX0FdxPfUuzm/TTR9DEarjOeg1i/4ydNN/UmQQzaEMs9RaWWUcB44fg6rVTbki8XE4ozAxYPW/A+f7T8pO8FkurC59cf4sWccrtwC1R0hOxCpIqtRtbBJNxf+upygl8zDxUb6kR3xURJmJhBGTJnP14y8y8ZtZ6CL7dfbytVw17AUefO19kjPOnAECQvyTSSLhBLTW64CGmFkFP5ZSZKrWukOR/wp6N/8NfKG1doCvAb+5VFrr+QBKKf8hI5Vpz1bssfdhjxuCdeH15p4D/wCqSz+cnz/Hee0R9M+fY11pltPAcqFqNcSZ8j+cz15B9b4Sok5Px/df8l7YnN+mm87AIS9jnXOpue9C0QSOy21GrgZoVGl52KuX4Vm5mLCX3iV06GjsPzdUyHqNFc3jOAz97g9u6tyUehHVAOjXpDa/3nM5M26/mB4N4xjxY/F84BnC5cJq0Z78jydwfNggVFxtXH0vqeyoSnAW/IQ+mE7QqIm4BwzG2bbRHAsuF65zryDvqf+Q99AN6L07cV1ecvmmSmO5IKwq9jujsH/+HNcN3uUTsg5hv/wQ9sQnsWdNNmvSe2dVnAmc2VOxX7gPZ81CrB7eEfaWC1UnAfvDF7E/eB7r3Gsg5vSt2V5UvsfD59/MZMYn77Hg+29o3qQxkz6eTM7x40z66DMevPv0LplwIsrlomrjBBZdeS2rBt1Lh9fG4a5Rg6qNGlK9WVNmt+3E7DYdiel1NlFndf/L96tsqt/V4Njo4snmek0gLw9S9pb+wtPsx9/mcdl5fQofe2ybPfuS+OT1F3nlqWE8OW48R7JKdoyfTuE1ajBqxDAeHjaSgXfcTZ3atbCKJXJn/vATGzZt5q5bb66kKMu2eX8qezMOcX67ppUdygnlezx8/vV0Zkz+iAWzvqV5kybmfgnA5199w+NDHmDeDzN4fMiDjBz9fOUG+3+I64L+OGuW+nU0nnGOHMQz8lY8Y+/H/vpdXLc/ZpZ49LLfeBLPsJvAHYRqfhKzGMRJOT74enIfH0Te+GcIuvV+VFztyg4JKDhXzGDGp++z4MfpNG/amEkfmXuO2bbN4cNH+PKDt3nsgXt56PGn/ToNK1uZ9WQg/+2x5D85iPyxD2M1a4vVs2IXKDgVqlFzMxM6qdiSiJaFa9BwnN9mmhkPZ4KT+XsfysB+eQj22MFYXfuVGClvdTgHZ/WCAAV4YqpVZ8g+bJaQKoN13d3onZtgV8Unyv6O0tojztyZEFoF1wMvYPW82Nx34TQNRi1u3H238O2Lj/PZUw+ycssOZi4ws+/6dmrDnNefZuaLw+nZtgWPv/XZX7yTEOJkyD0S/tq3wMtAX+Av55YppdoCTYFfvKPvgoFdQPG7PhbMSvCU8T53A3cDTOzblkFtGpzwc/WhDP+RSRH+I+TBO+oxIsZkzC3LTP8rviRGyj50bg7UalA4ta2iqa7nojqZTgWdtAsVHoUu6O+oEekbcVAgK9MvI65qRPmWMGp/duGNl/Wm5aiCRMKRg+icbMjPg/w8dOIWiK9npiWeTIxnX2xuyoq5+aqKiCmcSa3Co31LihQ47D8DREVEQ0FWv2AWQsH/s71Z9NwcnKm+9X9dI98yyxgVvEeLjuh9O33lT5HOSEPF+EbEqOia6IyTb1Tmf/kR+V9+BEDI0Gdw9iee+AWnYMqqbUxbZypXbeOjOFBkFkFKVg5x1cNKfd3TP6+gQWR1buniu2lbRJhvCuZ17RJ4ZW7g1gfWB4vv41jf6J+/em1GGs7ubWZZJMBetgCrWWvs3079JtslPiszHRVVJM7I2JLLEGVmmBkWmem+84X3xsn2529RkEYKGvk6+sA+VMFU3bRkb/zzcJWxTvPJUt3Ox+rS18S8f6c5VxRsC4/ym6kEwJGDqGLnioIRSPrIQfQm78jn/d5lCapUN8ue5Xg7MZN2m5s+Rtcq/ea3JxPzWRdidTNr7et9O8wIsD1/EXOR0TullgH06oVYtw+HX78y5/JjWWZZuvxc9K4/UbXqmynTp2jyV9P5cub3ALRt2ZwDRUZuH0hNIy7Wf3TmZu/I/fp16wBwyXn9eOeTyZy372z2JSdz1U13mtempXHNrYOY9sHbxEaf+jTt4o4nHyCsTp3Cx6G1a5GT7N/gPZ6UTOaqVWiPh2OJe8nesZNqjRsRfXZPMleswj5qzjOpv/5GVNfOHFxScUlH1eNCrG7nAd7jIjza/5pyUseF79qoOvfBatkJ+93RJT7Lat8TZ+1fj7Irj8nTv2Pa92aN3rbNm5JcZKT5gbR04spYhubP7Tvx2DZtmvs6uONjY2jXsjlBbjd1a8XTsF4d9uxLom3LipsNNHnqNL78ZoaJt3UrDhzwXVsPpKQSV2SmTYFz+/Ti3D5mRO7Ur6djuXyJhMVLlvH2+x/y2XtvFy6nEUhTFq5m2pL1ALStF8+BQ77lGVMOZREXXs2v/NrdSWzYm8L5o9/Fdhwyso9x64SpfHzfDQGNc/KXX/PljG9NnK1aFNvPacTVLHa+8N6zpH7dugBccsG5vOPtHJz+/U+MHGrux3XJ+efyxHOSSPCTme43qllFe6/PJ8Fq2hqrRTtcF1yFCg0DVxD6eA6eL96p2BgPZUCRtoiKjPEfyUtBeyXWtFEsyyyxUdAW8XiP88Tt6PRkVM26Zvm2Ap58nLV/mOWRKmKUbjEl6kZRMb7ZE2eqg2klj4uD5Viaz3sM6dRknE1rUA2bmSV9Ktjkad/w5Qxv3aJVC78l4g6kphFX0/8aUlbdAiCuZiwX9DOz3Nq1boVlWWQeOkxUBS6TF4h6MuD7PRzPMUtnJTTHWfzLqQd8KAOKzIBWETGQWcq+oTurAAAgAElEQVRvLyrWjOAvFi+A6tqn1NkIrpsfRKck4cyZUa6Q1NkXY51lEiUl2tJF28kFDh/0W8ZHRRSpG2UdMisUZHlXLihoGx85+NfveyQTnZyISmiFXue991XthmaA0Qk68gvoYm18IqL9V1OgoI/F2z9gWWa546NZplzR5aDCo9GHM7DadEW17oqrZSczeDO0CtbAB3Emv26+x4X/gqo1cKa99JfxleV0tEfIzcH5ynfvNNewN0w76hRNnj2fr343f6s2CfU5cNB3L60DBw9RM7Lk8kkFN1OuGhbK5T27sH7HHvr37kZk9aqFZa7r14OXp8w85fiEEDIj4WR8ADyjtV5/kuX/DYzSWjf0/lcbqK2U8ssEaK1nA5GYJZNK0Fq/o7XuorXu8ldJBAASt6Fia0N0HLjcWJ17o9f736BXr1+K1d10ZKgOZ6O3ejtUo+N8S6hExqLi6lbIRaAsevlvOJOexpn0NPrPVb5lh+okmDX4inecZx82z9dJMLG36+lrQGQdggbeTuNGLQs74vWW1ah6TUFZ4A5G1Uko7OA8qRgXzcJ+dSj2q0PRG5ahOntHU9ZvaqYrZh3yf0HWIfN8fdNZojr3QW8wmXC9cQWqq1lCQ3Xth97oXZ82tIpZ6xVzkya9c5PfGoSq4zklR5qeAmfbZqza9VBxtcDtxt37AuxlJzkSw7Kgupn+ajVsgtWwCfbqCrgBdBkGdGrK9NsuYvptF3Fe0zrM3LgbrTVrk9KpHhJEbLWSiYTXF6wnOzefx8/r6Pd80fsp/L49iYTov3/j7b/ibP8TVaseqqZ3H599Pvbyk+vQc3ZsRlWtDjVMRcjVppPfTZorkt61BRVXB2Lizfmie1+c1f4zX+w1i3GdcyHgnepcsN5rcAgEe++D0LqTGRGdlGgaXbUbQHVTubPadEYnn1qySS/7FXviE9gTn0BvXonq4J3EVbex+b2Vda6o29jE1+GcwrVG9eaVqEYtTblo8705lmWSCQVrp0bGmvNh5t8//+kls7HHD8ceP9z89jt570NSr0nZ547cHLMdUJ16+xIe0b6leVTrLmbtaTDbG7Ywv8ugYFS9JujU/VSEgdddzcxP32fmp+9zfp9ezPjxZ7TWrNmwkerVqlIzxj8JEBcby45d/4+9+w6PolzYOPyb2U0DEmoIVXpVpFcRRFERC8XGAQUEwa4gKHZFpSl2RRELqEERlaIISA9SpEiXEnooCSWhk7Yz3x8TkyxJlHB2WXK+574uLmHnnezjZHbnnXnbbhIzFsxdsmIV1SpXolb1aiybOY35Uycxf+okykRG8tOEcX5pRAA4tmYthatWodBlFTGCgijfpRMJM70Xpzv46yxKXeVcb4JLlKBItaqc3r2Xs/v2U/KqFhguF4bbTcmrWnLSx1Mb2ct+w/PeEDzvDcHetBKjccZ58U/XlJSz2a4pbTKvHUbN+phtb8Mz4Q2nsTw7w8C4sqXPR7L16HIrUz//kKmff8h1V7dk2ux5znmxaQvhhQtTumTuQ9lnzFvEzddd4/Va+9YtWbHWqVIlHTvO7rj9VChXJpe9/4u8d9/JtEnRTJsUTft2bZn6y69O3vUbCC9SJNf5948mOjfMx0+cYOL3P3Bnl04A/LVlKy8NG8HH74ymZAnfDtnPS/fWDZkyuCdTBvfkunrVmbbqL+cauPsA4aEhREZ4NyR0u6oBi155kLkv9uObx7pRObK43xsRAHrcdTvTJk5g2sQJtL+mDVN/daYTWLthY8b3hfdxjiodyY6du0lMchrFlvyxkmpVnDpu6chSrFjt1O2Wr1xN5YoV/Z6/ILF2bMEoUwEj0rl+uVpei2f1+dUv0j56nZTH7iLl8W6kffMxnsWzfd+IANh7tmGUznYv0qRNjoVM7fV/YLRwOuoYjVpnzcFeJMKps4MzHUzpck7jeEho1rRupulMoxHvn9FW9s4tGGXKZx3jFtdi/bnML+/lK9aOLRhlK2BElnUyt7oOz6rzvHcoXCRrBHp4UcxaV/it3tnjzq5Mi/6CadFfeNctNmzK/bsij7oFQPu2V/NHxnfFrj1xpKWlUbyYb+dl90c9GdPMmkrI5cKs3wIr26LY/1Xe3Vu9P3tN2zqLLWcvs245RsuMz17jq7G3rMvaaBiYjdtkrY+QwezUC8IKY33/CfllL5mF561BeN4ahL1hBUZGxyAq1cyo9+TScTDlbOYUo0aTa7A3Ovea9qaVGE2d/Y2m2V7fuDL3n1u0pLPuI0BYYYwqdbAPZ9WTzYatsc93NELcdufzVaK0c2wbts68x8/8f9200hn1AE4dbPuGzHxmw9bOPUeJ0s7P2bsda0Y0nlf74Xn9Qayv38aO3ZDViNC8PWatBljfvPNfrWtyMe5HnGcZLuf1ptdi79rsvZ7CBepxQxumjBjClBFDuK7JlUxbvML5vojdRXhYaI6GhHSPh6SMtaPS0j0sXLORGhWdkdrZp0Gav3oDVctfIjNU/K8zDP3Jz58CSCMS/oVt2/uA9/PYfPc50xM9jLM+Qsdzyk3JeP3c7o3DAN80i1oW1uRPcD08FAwTa/lciN+L2bEH9t5Y7I0rsJfNwej5JK6XxsKZU3i+dFq5jap1Ma+/w1kIyLadykJG7yCz92CM6vWgSASuV7/E+nUi9nIf9Jz4W+x67BpXYj42CtJSsaZ9nrnJfGAo1tiXnf+9GV9jdu4L7mDn4rzdufGwfh6P2aG7UzlLT8P6Zbyz85GD2Ds2YD70Kti2s8DQ4Qt70GZv/hOjTiNcz34EaSl4vss2iuDJ0XjeHgzgDMXu9igEBWNvWYO9xXmAac3/CbPnIMxm12EnHcb66i1n56gKuP7zmJMvPg7r+zFZbxocglGzPtYPYy8oc64sDymfjCZs6HtgmqTN/QVr7y6Ce/TDE7vF6QFfow6hz43CKBKOu2lrrB79OPtId3C5KTTSyWKfOU3KW69ctKmN2lQtS8zOg3QYN4NQt5thN2UtcNVl/Gym9L6R+JNnGLvsL6qWCOf2Cc7CZz0aVueO+tX4enUsC7bvx20aFA0NYXhHP05ZYnlI/extQl54G0yT9PkzsPftIujuvlg7tuBZtQSzWm2Cnx6OUTgcV5OrsO/uS/LAe8GySP3qQ0JffhcwsHZuJX3udD/ltEj/5gOCBo/EME08i2dhH9iDq0sv7F3bsNYuw4qZidn/GYJHTcA+fZK0j4c5+0YUI2jQSKdHf9JR0j4d6bx+7Cjp074m6Nm3wePBPppA+rg3fRbZ3rYOo2YDXANHQ1oqnp/GZW5zPfw6njHOsjOenyfg6tofgoKwt63HjnVulOw/F2F06Yfr0RHOYmk/Og9RjMq1MK+7HTwe5/tv+nhn3lhfZN66BqN2A1xPved8d0zO1mvn8ZF43n/GyTz1C1x3PuR8d2xdi73VuRk1b/oPRqlyYFvYx45gTfnM2fnwAexta3E98YaTeeV8SNjnk8zZtW3VgkVLl3P9Hd0JCw1h+AvPZG7rdG9fpn39OVGRpXikb296PPgYbreb8mWiGPHSsz7P8m9sj4cNQ56jxeRvMVwu9k78jpNbt1Hrmac4tnYdCbN+4/D8BZRu15Z2Sxdhezxsevk10pKSODD9F0pd3Zprfl8Ats2heQtImO3D69y5WbeswajVENfT70FqKp7JWfOWu54Yhee9IQB4pnyO666HnXM5+3nRqQ+43bjud855e29s5rlhVKnj9IjzY2eAti2aErN8JTd070toSAjDnxmYua1z30eZ+nnWAMyZCxbz6aihXvu3btaY31f+yc09H8A0TZ56qC/Fi3rP0+zTvK2vYtHvS7n+tq6EhYYy/JUXM7d1ursH0yY5vVyHvfE2WzIakB7p35cqlZyHVm+88z5nzpzliaed87psmTJ88t5bfst7rjZ1qhCzeScdhn9OaFAQw/6TtYh4l9FfMWVwz4uW5Z+0vaoVi5Ys4/rOdzrH+eXnM7d16t6LaRMnEBUZySP9+tCj38PO90XZMox42TmPX3vhGYaPfpd0j4eQ4GBefX5IoP5XAOg78QtqXtOaIqVKMiJuMz+/PJylX3wduECWh7Tx7xL87GgwTTwLf8Xetxv3HX2wdm3BWr0Uo2ptQp58DQqH42rUCvvO+0h5qvdFzGjh+e5j3I+9DqaJtfQ3Zw7tW+5x7kXW/4G1ZDau3oNxD/0M+8xJPJ+PAsCoUQ/XLfdk3ot4Jn4IZ05BeDFcD72M4Q4C08Dauh5rcW6zzfomf/pXHxD01CgwXXhiZmLv3427a2+sXduw1izFqFKL4AGvQuEimA1aYnftTeqzzhR+wS+8i1H2MggNI+S9SaR99ibWBv+uAYPlIe2Ldwh+/i3nvFgwwzkv7nLqndbqJRjVahMyeJhzXjRuhX1XH1IG9cQsX5mg/oPBssE0SJ8aje2jB9v/pO1VLVi0dBnXd/2PU7d4MavO0KlHH6ZFf+HULe6/jx4PPJpRtyiTWbe4/baOPPfaSG7p1ougIDcjX34ucw0en/FHPdkdTNDgkc5DZdPE2vQn1kIfncuWhefbMbgHDHN+9pLf4OAezNvuxd4Ti71uOdbvs3D1fRr3619gnz6JZ1zWqC+jRj1n9E32qYuKlcJ183+wD+7F/YJzXfcs+Bn791n5jmdvXu3cSz83xqkPf5tVT3ANegvPW4Ocn//Dp869cVAw9pY/MzsDWfN+wuw5GLO59710Xj/XiKqAeVuvrMOzcBpk69xkNGiFZ9yw8wtvWVg/fYar/0vOsV0xDxLiMDt0w47bgb1pJfYf8zC6P4HruY+cZyxfve3smxCHtXYJriHvg+XB+nFcrgu1Z2fe8QAkHcb1uPP7sTYsx/5t8vllzYPf7kdKl3emhMXGTtiH9aMPn1tkaNugLjFrN3HjwFcJDQlm+ANZa4t0eXYUU0YMITUtnftHjiHdY+GxLFpdUYs7r3U6Dn0zexHzV2/E7TIpWqQQIx64x+cZRf4/Mi6lOQUld+mP3VqgfklGqXws8nWJsE+c+PdCl5Dkbb7pfXwxhXW+IdAR8i1l5vxAR8gXV5FLZ27/8+WqGJi5/f8raWmBTpAv7iHvBjpCvk2v3vDfC11iOt7fJtAR8sU1cHigI+SbEVHw6heeBZMCHSFfXG1uD3SEfHswokqgI+TLO90K3vebu1jhfy90ifGcSg50hHyxUwpW3QIgbNwPgY6QbylP+HCR44vADC54/T6NIoUCHeF/30WYZtHXzDvvC3SEfDMb31gwu4sHmGfkgwXq+WWguZ75pMCdZ5raSERERERERERERERE8qSGBBERERERERERERERyZMaEkREREREREREREREJE8Fb9I9EREREREREREREbl0mOqv/r9Ov2EREREREREREREREcmTGhJERERERERERERERCRPakgQEREREREREREREZE8qSFBRERERERERERERETypIYEERERERERERERERHJkzvQAURERERERERERESkADOMQCcQP9OIBBERERERERERERERyZMaEkREREREREREREREJE9qSBARERERERERERERkTypIUFERERERERERERERPKkhgQREREREREREREREcmTO9ABRERERERERERERKQAM4xAJxA/04gEERERERERERERERHJkxoSREREREREREREREQkT2pIEBERERERERERERGRPKkhQURERERERERERERE8qSGBBERERERERERERERyZM70AFEREREREREREREpAAz1V/9f50aEgoAo07dQEfIl9TFywMdId+CKpcLdIR8Cb2iCkbN2oGOkT8njgU6Qb5ZKemBjpAvVsopsOxAx8gXd7+HAx0h//ZuD3SCfPF8OTzQEfLtho51Ah0h38x7Hwl0hHyxtq8JdIR8s6d+F+gI+bZ9asE6ztW7zg10hHx7p1vDQEfIt4HfFazz4p7SEYGOkG9NbypY9eSgW24MdIR8Sx1wT6Aj5Jv73l6BjpA/+3YHOkG+pUyfFegI+RY24p1AR8gf2wp0gnzb3LF7oCPkW90dOwMdQeSSpKYikQKowDUiyMVRwBoRRERE/r8paI0IIiIiIiJ/U0OCiIiIiIiIiIiIiIjkSQ0JIiIiIiIiIiIiIiKSJzUkiIiIiIiIiIiIiIhInrTYsoiIiIiIiIiIiIhcOMMIdALxM41IEBERERERERERERGRPKkhQURERERERERERERE8qSGBBERERERERERERERyZMaEkREREREREREREREJE9qSBARERERERERERERkTy5Ax1ARERERERERERERAowwwh0AvEzjUgQEREREREREREREZE8qSFBRERERERERERERETypIYEERERERERERERERHJkxoSREREREREREREREQkT2pIEBERERERERERERGRPLkDHUBERERERERERERECjDDCHQC8TONSBARERERERERERERkTypIUFERERERERERERERPKkhgQREREREREREREREcmTGhJERERERERERERERCRPakgQEREREREREREREZE8uQMdoCAzDKMC8BFQF6dR5hfgKdu2Uw3DaAaMBqKAM8Bq4HHgLqCJbduP+jObbdsMX7SBmN0JhLldDL+hEXVLF/MqczYtnYG/riTu+GlMw6BdlTI82fpyAMb/uZ0fNu3BbRgUDwvm9esbUT6ikD8jY9ZvRlDPx8A08SyYQfr0id7ba19JUM/HMC6rSur7r2KtWOT9A8IKEfrmBDyrfidt/Hv+y3lrL4xaDSA1Fc8PH8OB3TkLlauC684HISgYe+tarJ8neG02Wt+M6+Z7SH+tP5w5iXH1LZgNrsp4AxeULo/n9f5w9rRPs9u2zfC5q4nZcYCwIDfDb25B3TIlvMqcTUtn4NTfiUs6hWkatKtenievaQDAyLmr+WNvAgDJaR4SzyTzx8A7fZox18y//0XMnsPOuXzdldSNLJqj3LvLtzJ9636Op6Sxuv+Nma/vP3mWF+avJ+lsKkVDgxjVvj5lioT5La+rUQtC+g0E0yRtznTSfvjaa7t5eQNC+g3ErFyN5DdexLN0Qea24F6P4GraCoC0774k/fe5fsvplblxC0L6P+lk/m06aZO/8toe1Pk/BN3YCduTjn38GCnvvo59OB6A0FffxVXrCjx/rSN56KCLkvdctm0zfOLPxGzYSlhwMMP73kHdSuVzlOs16lMOHztJSHAQAJ8N6kPJiCIXL+PM5cTExjmfvc5tqFuuVI5y/b+exeFTZ0m3LBpfVoYXb26JyzR587cVLNy6lyCXScUSEQzrdDURYSF+z220ux2jSl1IS8WaHQ2H9uUsc9XNGHWbQUghrA+f8t5WsyFGy5vAtrGP7Mf+9asc+/uKWa8p7nsfda4hC3/F88u33llqXUnQPY9gVKxK2kevYa2McV6/rBpBvQdAWGGwPKRPj8b6Y6HfcmZn2zbDv/iOmD83EBoczPDH7uPyqpVylOv50pscTjpO6N/n7ksDKVk0gv2HjvLCmPEkHj9J0fDCvPFEX8qULJFjf59n/nZGxuctiOF9bs/18/a3R97/mrjDiUx/7QkAtsQdZOhX0ziTkkr5UsV4o99dFAkL9XlOs1MfjDoNnWv1pA9h/66chcpXxdXtEedavXkN1rQvADCubIl5w13Otfj9Z2Hfjqx9ylbCdXt/CC0EtoXnvWcgPc2n2Qu3aUPpF17EcLk49v0kEseOzbVc+I03Uv6jMezu3JnkjRsyX3eXLUvVWbM58v77JH7+mU+zZWfedh9G7YaQloLn+zF5HOMquO7KOMZb1mBN/9LZ9+Z7MOo0Bk869tEErO/HQPIZjBr1MG/qAS43eNKxZnyNvWOT77MXkDrn+br384+od0sHTh46zGv1WgQ6DgDF2l1D1deHYrhcJER/y74PPvLaXvruO6ny0gukxDv1iYNfjCch+luKXtWKKq++nFmuUPVqbHnwERJnzvZLTqNeU9zdH8YwTTwxM/HM+M67gDsId78hmJVrYJ86QdrHr8ORBHC5cfcegFG5FtgW6RPHYG9ZB6FhBD33TtbPLx6JZ9lcPBM/9kt+27YZ/tvKjLq9i+G3tKJu2ZJeZc6mpTPwxxjijp107vlqVODJaxsBsP/4KV74ZRlJZ5IpGhrCqE5XUSaisE8zGlc0wd39YefzFjMT69dJ3gXcQbj6PY1ZyTnG6R8Pg6POMXb1GoBRpSZYFp6JY7C3rvfe9fFXIbIM6S/292nm7GzbZvjk34jZtJ2woCCG97yVupeVzbP8Ix9PIu7IMaa/+IDX61/OXc6bP81lyRtPUryIf++rbdtm+JxVxOzYT5jbzfBbW1K3TC7nxU8xWfd8NSrwZLuGABw4fprnfl7KiZRULMtmYLuGtK2e97X+v2U2aE5wnwFgmqTP+5n0Kd94b69bn+D7nsCoVI3Ut1/Gs3xh5jajVBTBDz2DUao02DYpwwZn3qf4k23bDPv0a2JWryM0JIQRT/Tn8uqVc5RLTUvntbETWLFhC6ZhMODeO7nxqqZ8N3Me0TPm4jJNCoWG8uqjfah+mf+OcWbmcdHErFpHaEgwIwb04/JqeWX+ihUbt2AaJgPuvZ0bWzXly6mz+GHOIlymSYmiEQx7vC/lS+e8n/GVwm3aUObFlzBcJkmTvufo2E9yLRd+YwcqjhnDzs6dSN6wgaDy5an22xxSd+4E4MzatcS/+ILfcso5TPVX/1+nhoQLZBiGAfwEfGzbdifDMFzAp8AwwzBGA5OBbrZtL8sofwcQfrHyxexOYM+xU8zq1Z718UkMnb+OSd3a5ih3X6PqNK8YSarHos9PS4jZnUCbylHUiSzK5G5tCQty8936Xbz1+ybe7tjUf4ENk6D7BpA6fBD20cOEDBuLZ/US7P17MovYRw6R+skI3Dd3y/VHBN3ZF8+W9blu81nMWg2gZBk8owdCxeq4OvfFM+bFHOVcnfvg+WkcxG3H7D0Eo2Z97G3rnI1FS2DUqIeddDizvL34FzyLf3Heo3YjjNYdfd6IABCz8wB7kk4y64FbWX/gKENnr2RSrxtzlLuvWR2aV4oi1eOhz7fzidlxgDbVyvFM+8aZZb5ZtZXNCUk+z5gj897D7Dl+hlk92rI+4RhDF21k0h1X5SjXrnJpetSrRIdo75v9N5duplOt8nSuXYHl+47wzvKtjGrfwD9hTZOQBwdz9sXHsY8eIuztL0n/YzF23O7MIvbhBFLefY2gLt29dnU1aYVZrRZnH+8JQUGEjRhD+uqlcPaMf7Jmz/zQU5x94THsI4cIe2c86csXY8dlPRCydm7jzIBekJKCu2NXgvs8SsoopzKW9uM3pIWEEnRTF//m/AcxG7ayJ+Eos0YMZv3OOIZ+NZVJLz6Sa9k3+t/NFVUqXOSEEBO7jz2JJ5j1+J2s33eYoTOWMqnfbTnKvX3ntRQJDca2bQZ8P5/Zm3bRsV41WlUtx8DrmuB2mbw1ZwXjfl/HoOub+Td0lboYxSKxvngNylbGvO4urG/fzlHM3rkJe+1izPvO+S4sFonR7Hqs796BlLMQ5sdGG8PE3esJ0kY9hZ14mOBXP8b6cyn2gaxrCEcTSPt0FO6Od3nvm5pC2tiR2An7oVhJQl77hJQNK+GM77+DzxXz50b2HDzErA+HsS52J69+Gs2kkc/lWvbNJ+7ninNuUN/8ajKd2rakc7tWLN+wmbe/mcIbT/T1b+YN29iTcIRZw590Pm9fT2fSCw/lWnbO6k0UCg32eu2l8VN46q6baFqrCj8uXsUXsxbzeJfrfZrRqN0QIsviGfkYXFYD1+39nQaBc7hu74dn8iewNxbz/ucxajfE3rIGO34vnglv4rrD+yEQponrP4/j+fZ9OLgHChUBj8en2TFNol55hbhevUiLj6fyT1M4NW8eqdu3excrXJjivXpzdu2aHD+i9PPPcypmUY7Xfcmo3RBKlcHzxuPOMe5yP54Pn89RztWlH54fxzrHuM+zGLUaYG9di71tPdbMiWBZmDf1wGzXBWtmNPbpk3jGj4ITSRBVEdf9z+MZ9qCPwxeMOmd+LBsfzcIPP6X3V7k3Ol10pkm1ka+z8a7upB44SIPZMzg6+zfObov1KnZ42s/sfM774c7xJUtZe51TN3UXK0bj5b9zbKGfzmfDJOjex0h9cwgkHibo5Y+w1izFPrA363+lzU1w5iSpQ3phNr8G9539SP/4dcxrOgKQ9mI/CC9G0KDhpA19BJLPkvZS1jkb9MoYrFW/+yc/ELPjAHsSTzLroU6sP3CEobP+YNJ9HXOUu69FXZpXLuPU7aPnErN9P22ql+fNuavpVK8qna+sxvLdB3lnwRpGdWrtu4CGifvex0gbPQQSj+B+6UOstcsg+zG+ugOcPkXaM70xm12D66778Xw8DLOt8/+R/mJ/CC+G+8lhpL/6KNi286Mbt8ZOOYvhu7S5itm0gz2HEpn1ysOs372fod/NZNLTfXItO2fNFgqFBOd4/WDicZZu3knZEhF+TuvIPC8e/Pu8WMGk3jflKHdf83POix37aVOtPGOXbKBDnUp0a1yT7YeP8eD3C2hb3U91fdMkuN8gUl4dgH30EKGjPsOz8nfsfbszi9iHE0j5cBhBt/0nx+7Bj71A2o9fYa1fCaFhYFn+yXmOmNXr2HMggdljR7Nu6w6Gfvwl3781NEe5T76fRsmiEcwe+yaWZXH8pFO/vKVtK7rddB0A8//4k5GfR/PZ0Kf9nHk9ew7EM3vsGxmZJ/D96JdzlPtk8nRKFotg9idvOJlPOZnrVK3ED2+/QlhICN/+Oo/R4yfxztO533P910yTsq8MZU+vnqTFx1N1ylROzpuba32oRO/enFnjXR9K3buHnbfe4p9sIv/Pqanowl0LJNu2/SWAbdseYCDQBxgETPi7ESFj+w+2bSdcrHDzd8bTqc5lGIZB/bIlOJmSxuHTyV5lwoLcNK8YCUCwy6Ru6aIknDoLQPOKkYQFOfalfs0AACAASURBVO1MV5Ypnvm6v5jV62DH78c+dBA86XiWzcfVxLsSax+Jx967E+yclQOjSk0oWtypQPiRUacx9prFzj/itjs9EsO9R3oQXgxCwpztgL1mMUbdJpmbzZt7OjfPeb1H/VbY65b6PDvA/Nj9dLqiinNelC/FyZRUDp/zuw0LctO8UhQAwS4XdaOKk3Ay58PsXzfv4ea6OXvO+jzzrgQ61SrvZC5TnJOp6TnOZYD6ZYoTWThnr9YdiadoXt7pgdO8fEnm7zrkt6xmjbpYB/dhJxyA9HTSY+bgbt7Gq4x96CDW7u2ZN0GZ+1asgmfTGrA8kJKMtWs77sYt/ZY1831r1sU6sA87PlvmFt6ZPetXQ0oKANaWjZilSmdtW7fK/40d/2L+ms10atXQOUeqXcbJM8kcPnYioJnONX/rHjrVr+5krFiak8mpHM7lc1Uk46FrumWT5vHgtFnDVdUr4HY5l+z6FUoTf8L/x9yoVg/7rxXOPw7udr7XCudyA3xwN5zOebyNei2x1y52GhEAzp7yU1IwqtXGTtiPfTjjGrJ8PmbjVl5l7CMJ2HE5ryF2/D6nEQHg2FHsE8cwzv1e95P5K9fSqW0LDMOgQc1qnDh9hkNJx857/+1xB2herzYAza+ozfyVa/0VNdP8tef3eTudnMKE35bwwC3tvF7fnXCEJjUrA9Dq8ur8ttr3vc2Ny5tir1ro/GNvbN7X6tBCznbAXrUQ4/KMDhOH9sPhAzl/bs362Af3OI0IAGdO5Von+W+E1q9P6p49pMXFQVoaJ2b8QpH27XOUKzVgIEc/HYud8d38tyLtryctbh+psbE59vElo24T7D+dUT3sjXVG9OR6jMOyjvGfMZnH2I5dn/mwx967DYpljKQ5sNtpRABIiIOgYGd0gg8VlDpnfmxfvJQzif7v3HG+whs1IHnXblL27MVOS+Pw1GmU7HBDvn9OyVtvJmn+AqyzOet9vmBUreXU2TKuHdYfCzEbendWcTVshef33wCwVsZg1nV6bJvlKmFtzvjOPXkMzpzCqFzT++dHlccIL4a9bQP+Mn9bHJ2urJpRt4/kZHJajvpFWJCb5pXLABl1+zIlMuv2O44cz9zWvFIZ5m/LOfLwv2FUrYV96AAcjneO8YqFmA29r89mo1ZYSzKO8aoYzDrOMTbKVcL2OsanyTzGIaG4brgdz8/RPs2bm/nrt9KpeT3nGFep4Fz3jp/MUe50cioT5i/ngZtyNsSM+nEOg7pch+H3Zg/H/G1xdKpXJdt5kcrhU+dxXmSrX55KdUbbnUpJo7QfR3M738nZ7p9+n4er6dVeZezD8dh7duS4fzIqVAaXK+v7OPkspHpfF/1l3vI/6XRta6cOV7u6U4dLzFmH+2luDP3vvBUA0zQpXtTpW1qkUNYxPZOcclHOjXl//EmndledR+bF9L8jW+YIJ3OLK+sQFuKMiK5fqzrxRxL9ljXsnPrQ8V9+Ibx9zo4nkQOf5OjYnPUhEfEfNSRcuMtxpivKZNv2CWAvUP3cbRfboVNnvaZviSoS+o+NASdSUlm4M54WGQ0L2f20aQ9XV47yS85MxUthH816wGsfPYxR/DyHyRkGQfc8TFq0f4YMeylaAvvY0cx/2scTIeKcaSQiSmCfSMxW5igUdcoYdRrDiUSI30uugoKdBxUb//B5dIBDJ89QJjxrKG1UeKFcGwn+diI5lYXb99Mio5L5t/3HT7Pv2KnMBgd/OnQ6mTJFshoIogqHkpBLQ0JeapcKZ+5OZ3jr3J0JnE5L51hyqs9zAhglI7GPZD+PD2GUzPmZyo21OxZ3o5YQEgIRRXFd2RijlP+Pr1GyNPaRrDZO+8g/Z3bfcBvpq5bluT0QDiUdp0yJrAdYUSWKkpCUe0PC81/8QJeX3+fj6fOwz7kZ8adDJ854TRUQFVGIhBO593jv9/Usrn4zmsLBQdxQt3KO7T+t2cbV1f0/qsIoUhT7ZLabi1PHoEjOacXy3L94aSgeiXn3AMz/PAmV6/gh5d/vVQo7MdtnL/EIRvHz++x5/ZyqtcHldh56XAQJiUmUKZV1DSlTsjiHjubekPDcR+PpMmgoYyb/knnu1q5ckTnL/wRgzh9rOH02maST/muwATiUdIIyJbLOg6jiESTk0pDwwdS59L7xKsIypmP6W/VyUcxbsxmA2Ss3Ep943Pchi5bMea0uWjL/Zc4VWQ6wMfu9gGvAGxjXdPJhaEdQVBTpBw9m/js9Pp6gKO9rQcjllxNUtiynFy70et0oVIiSD/TnyAfv+zxXDkVLYB87kvlP+1hWXcerzPGj/1wGMJpei70lZyOYUa859v6d4En3XW4oOHXOAiy4TFlSDmSdxykH4gkuk3MqmFK33ETDBXOo/dlYgsvl3B7Z+TYOT5nqt5w5rh1JhzGKn/M9ULwkdmLGKGLLckYMF4nA2rsTs2FLZwqHUmUwKtfEKFnaa1ezeTs8Kxb6LT9k1O3PrV+c/Id7vuRUFsbuy6zb144qztwtzn3J3K1xnE5N49gZHz6QK14q6/gBJB7J+XkrlvsxtuN2nHOMa0AJ59ru6tIbz+wfMju6+NOhYycpUzyrI4Vz3cvZkPDBLwvpfV2LHNe9eeu2UrpoOLUr+L9e/7dDp856nxfhhf/9vMh2z/domyv5eeMu2n3wEw9+v4Dnb/DfzARGiXPunxLP//7JLFcRTp8i+KnhhL75JUE9H7lo06okHE2irFcdrgQJR70frJ/I6Mn/3jc/0vWJF3hi5PscScqq90TPmMP1/QYxevx3PP/AvRcnc2TWd5yT2bsROjNz9I90HfAST4z80Cvz336Ys4g2ja/0W1Z3VBnSvOpDB3PUh0Iz6kOnFi44d3eCK1SkyvSfqTTxWwo18ePMGiL/D6khQUi3LAbPXMU9DapSsaj3nJjTt8Sx8dAx+jSqHqB0/851fWestX9A9krqpSgoGLNdZ6w5k/MsYtRuhL1nq1+mNcqvdMti8PQl3NOkFhWLeU9JMnPzHm6odRmuAjD/3VOt6rDyQCJdv/+dlQcSiSocimlcnN5A+eFZs4L01UsJe2McoYNfw7NlozM64RLibtcBV406pP34zb8XvgS90f9upr02gG+eeYDVsbuZvjTnlCCXgnH3dmDRoP+Q6rH4Y9dBr22fxKzFZZrcemW1AKXLB9PEKB6JNfl9rBnjMa/v5oxquFQVLUHQg8+SNu6NHD3eAu3NJ+5n+juv8M3rQ1i9OZZpi5zGvKd73cnKv7bRdfCrrNq0jagSxS6J7+XNew8QdyiR9o0uz7Ht9fu68t2CP7jj1Y84nZxCkNsVgIQXyHRhVKmNFf0eno9ewLyiGUb1ehc3g2EQ9dxzHBoxPMemUo8/QeKXX2KfCewosfwwru0ClidrtOffoipgduyB9eO4wATLQ4GpcxYAib/NYWWTlqxpdz3HFsVQ84N3vbYHlS5N4dq1ObbAv9N0XShr8UzsxCMEvTIGd/eHsWI35ai3mc3bYS3P+YArUNIti8FTFnNP09pULO70MH7qusas3JtA189+YeXeBKLCC2Gal0Y92Vo8CzvxMO6Xx+Du/hD29r/AsjAqVsMoXQ77zyWBjphpc1w8cYeTaN+gttfrZ1PT+HT2Eh67NecUw5eKdMti8NTfnXu+jPNixqbddL6yKgse68ond7VjyPSlWJdY3QgA04VZpz5pX31I8pD7MaLK4WqXc2qvQPF4LOKPJNKwTg1+eu91GtSuwRtfZK3h1ePm65kz7i0G9bqbjydNC2DSLB4rI3PtGvz07qs0qF2dN770Xjtm+oIlbNq+m75dA3isDYOo554nYfiwHJvSDx8m9urW7LrtVhKGD6P8u+9gFrk46+KJ/H+gNRIu3F/AHdlfMAwjArgMmAs0Bi74amAYRn+gP8DH/7mBfq3/fU73iet2MnnjbgDqRRUnPtsIhIRTyUTlMSTx5XlrqVSsCD0bejcWLN17iE9XbGXCHVcT7O8b/aQjXr14jJKR2ElH/mGHLGaNyzFrX4nr+k4YoWHgCsJOPkv6d5/6JJrR4nrMptcCYO/biVGsJHbGrAZG0RLOCIPsTiRiZBulYBQtCccToUQUFI/E9cQoZ0NECVyPDcfz0Qtwymnl98e0RhNXb2PyOmeapXplSxKfbQRCwskzRIXnvtjXyzNXUKl4OD2b1s6x7de/9vDiDU1y2cs3Jm7YzeS/4gCoV7oY8aeyRiAknE4mKpcpjPJSunAo79/krO1wOi2dOTvjiQgJ+pe9Lox99LCz0FcGo2Rp7KPn/7Ah7fvxpH0/HoCQwUOx9ucxcsWH7KOHvEY+GKVyz+xq0JTgu3tzdshDPl9Y9EJMnLeMyTHOMOZ6VSoQn21YbkLicaKK55yCJ6q404u6cFgINzdvwIZdcXS6qpH/Mq74i8mrtzoZy5ciPtsIhIQTZ4j6h8UMQ4LcXFvrMuZv2UOras7Ca1PWbGPRtr180bNj5pRHvmbUvxqjnjOllp2w15mS4e+NRYplfledD/vkMYjf4/QuPJEISYegWCQk+P68tpOOYJTI9tkrUcprHZp/FVqI4MEjSJ/8OfaOzT7Pl130zAX8MNeZEuaK6lW8hoXHH02idMmc0ypFlSwOQOGwUG5p3YwNsbvpfE0rSpcoxgdPPwzA6bPJ/LZ8NRGFfb+A48T5y7M+b5UreI0iSEg6QVQx78/buh1xbNy9n/ZPv4nHsjh64jS93viMCU/fT9WykXw26D4AdscfIWbDVp9kNFp1wGzuzDVsx+1wrtV/bytaArL1jAfg+FGMYlm98nItc67jR7F3boYzTk9Ua8saqFAFtvtu2pK0hATcZbN6ZrvLlCEtIWvUmFm4MME1anJZtDNFoisykvJjx7L/gQcIq1+fiA4dKP30EMyICLAsrNQUjn39tU+yGS1vPOcYl8LG+f0ZxTLqOtkdT3TqQH/vf04Zo3FbzDqN8Xz6qvd+RUvg6jkYz3cfQaIfZgW9hOuc/ytS4w8Skm2EQUi5MqTGezeMp2ebxi0++lsqv+S9xkZkp1s5OnMWdrqPR6Rkk+PaUTwSO+mc74Gko06P6aQjTk/nsMJwyhmF5fn2Y/5uOgh6/j3s+KxpgYyKVcHlwt7j+2nGJq7ayuQ1zs+tV65kzvpFeB73fDOWU6lEOD2bZY0QLB1eiPfvuAaA06lpzNmyl4jQnHP8X7CkIxglsvUuL1Eq5+ft2D8c4++yFld1P/8udsI+zFpXYlSuSdCbX4PpgohiuIeMJn3UYJ/FnrhoFZOXOB1O6lUqS3y2ka7Odc976cN1u/azce9B2r/wgXPdO3maXu98xfN3dWD/kWN0GeY0iiYcO8HtIz5j0tN9iCzq2webE1dtZfLajHu+c8+Lk6fzPi9+/SPHefHjuh182s25/21QIZJUj4ekMymUzMc92PmyE8+5fypx/vdP9tHDWLtjnWmRAM+KGMwal+OvrljRM+YwefZCAOrVqMpBrzpcIlElvUfdFYsoQlhIMDe0dO6bO1zVjB9/y9k4enObFgz9eLyfMs9lcsZ71qtRhYOHs77jnMzFvTOH/525cUbmpvw4Jyvz0rWb+GTyz3w9/DmCg/xzTw2QnhBPkFd9qOw59aEihNSsSaWJTsOMOzKSimM/Je6B/iRv2IAn1ZmBIHnjRlL37CW4ShWSN/hvmjmR/0/UkHDh5gEjDcPoadv2VxmLLb8FjAdGAysMw5hh2/YfAIZhdAXOu9uEbduf4izejGfMkPNq/u9evyrd61cFYNGueKLX7aRjzfKsj08iPMSd6/zx7y39i1MpabzWvqHX638dOsbQ+WsZ26kVJQuFnG/sC2bt2IJRpgJGZBnsxCO4Wl5L6oevnde+aR+9nvl3V5sOmFVr+fSGzl4+B8/yOQAYtRpitLzBedhfsTokn3Hm7Mzu5DFnTvCK1SFuO0bDq7GXzYaEOK8FA11Pv+8sTJjxQIKQMIwqdbAmfeSz7ADdG9eke2NnPtFF2/cT/ec2OtapxPoDRwkPCSIylwam92LWOedFx+Y5tu08epwTyak0KH+e0wBcSOZ6leler7KTefchojfuoWP1sqxPOEZ4cO7ncl6SzqZSNDQI0zAYt3oHXev4b0oYK3YzZrmKGFFlsY8ext3melJGv3R+O5smFC4CJ09gVq6OWbk6njUr/Jb1b9a2zZjlz8n8pveiuWbVmoQ8+gxnXxqAffzSmIO5+3Ut6X6d88B70botRM9bRsfm9Vm/M47wQqFEnvNgM93j4eSZZIqHFyYt3cOidVtoUde/I626N6tL92Z1nYzb9hK9YjMdr6jK+n2Hnc/eOY14p1PSOJOaRmR4IdI9Foti42h8mTPEfHHsPj5fsoGv7utIWLD/Lt32usXY6zJ6Blepi9mgDfbWP6FsZUhNznUthDx/1o4NGLUawaY/ILQwFC8Nx8/vYV2+c+/cglGmfNY1pMW1pI3J2UMpVy43QQNexfP7b1grY/ySL7seN7Wjx03OugELV69n4swFdGzdjHWxOwkvFEbp4t4NCekeDydPn6F4RDhp6eksXL2ellc6N/tJJ05StEhhTNNk3E8z6XqtDxfIzKb7tS3ofm0LIOPzNn85HZtdmfF5C8nxeevWrjnd2jnXj/1Hknjova+Y8PT9ABw9cYqSEUWwLItPflnAXW19s2i4vXQWnqWzADDqNMK46ibstUvgshp5X6uTzzjb98ZiNLkG+/df//k9tq7FvKaTM2+/Jx2jal3sxb/4JP/fktevJ7hSZYIqVCAtIYGIm2/hwJMDM7dbp06xvVnWEP3LoqM5NGIkyRs3sPc/WQsDl3r8cazTZ3zWiABgL5uNZ9lswFls2WjVIesYn83rGJ/NOsaN2mD//TuqWR/zmk54PnkZ0rJNNxhaCNd9zzhrSe3xTSPTuS7lOuf/ipNr1hFWtQohl1Uk9WA8kZ07sfWhR73KBJUuTdohZzqTkjfewJlY7wU0S3XpxJ5hI/2a0961FSOqPJQqA0lHMJtfQ/on3qN9PGuX4mp9A+k7NmM2bZO1LkJwCGBAajLG5Y2ckTXZFxBucS3W8vl+yd29SS26N6kFwKLYfUSv2krHupVZf+BIrvULgPcWrnHq9rd4r7+VdCaZomEhTj15yUa61vftiEd711aM0tmOcbNr8Iwd4VXGWrMM86ob8OzYjNkkj2Nct5GzuP2BvVgH9mItyPjuLRmFe8BrPm1EAOjetgnd2zoPfxdtiCV60So6Nrmc9bv3Ex4WSmRR74aEbm0a062N8+B1/9FjPDRmEhMG9gTg9zeezCzX/oUPmPxMX4oX8X2jv9d5sX0f0au2ZTsvgonM5T3fW7iWUympvHZzC6/Xy0YUZvnueLpcWY0dR46Tku6hhJ+eCVjbt2CUrYBRuqwzAqX1daS8m3PR4lz33bEZo3ARiCgGJ47huqIx1o4tfskJzgiCHjc78/QvXLmW6F/mcHObFqzbuoPwQoUoXcK7DmcYBu2aNWTFhs20qH85y9Ztotpl5QDYfSCeyuWcev7CVWupVM57KmHfZW5Pj5vbZ2WeMTdb5rB/yLyFFvXrsmz9X1Sr6HRq+mvHHl4e8yXjXhlMyWL+XTj87Pr1BFfOqg8VveUW9g8ckLndOnWSbU2zOjZWip5IwsgRJG/YgKtECTzHjoFlEVSxIsGVK5O61/8d9CTDJTj7g/iWGhIukG3btmEYXYAxhmG8iDNN1K/Ac7ZtpxiG0Q0YbRhGacACYoBZGbv3Ngyjc7Yf18K2bZ+ubNWmchQxuxPoMGEOoW43w67PaijoEj2fKT2uJf7kWcau3EbV4kW4faIz7LZH/arccUVlRv++iTOpHgb+6jzILBdeiI9ua5Hre/mE5SFt/LsEPzsaTBPPwl+x9+3GfUcfrF1bsFYvxaham5AnX4PC4bgatcK+8z5Snurtv0y5sLeuwajVANfgdyEtBc8PYzO3uR4bgeeDZwHwTPsS1x0PQlAw9ra12Fv/fQFM4/KmzuKDaf6b67NNtXLE7DxAh7E/ExrkYljHrN9ply9+ZUqfjsSfOMPYpZuoWjKC27+cCUCPxjW5o77z0PXXv/bQsW4lv/WIzpG5UiQxew/RIXoRoW6TYddmzcXYZdJiptztLMY1eukWZsQeIDndQ7sJ87m9TgUebVaTFQeO8s7yrRhAk3IleLFNzqk2fMbykPLJaMKGvgemSdrcX7D27iK4Rz88sVvwrFiMWaMOoc+NwigSjrtpa6we/Tj7SHdwuSk00jmf7DOnSXnrlYsztZHlIeXj0YS99r6Tec7PTuZ7+uOJ3Yznj8UE930MQgsR+qxzc20fjif51acACBs1FrNiJQgNo9CEn0l573U8f/pnjY+8tLmyFjHrt9LhmdGEBgcxrE/WYLEuL7/PlKGPk5ruod/bX5DusfBYFi3rVufOthdvvsw2NSoSE7uPDu9PJjTIzbBOWYvIdfl4ClMe6sLZtHQe+XYOqekeLNumWZVy3N3EGRH0+q9LSfNY9P3KuYzUr1CaV269Ktf38pldf2FXuRyzz0uQnoo1O2tBQ/Oep7G+eQMA4+rbMGo3gaAgzH6vYm9chr1sJuzeDJVqY/Z6DmwLO2aa8+DWHyyL9K8+IOipUWC68MTMxN6/G3fX3li7tmGtWYpRpRbBA16FwkUwG7TE7tqb1Gf7YDa/xundWCQC19U3ApD26SjsvTv8kzWbto3qEfPnBm585HlCQ4IZ/kjvzG1dBg1lylsvk5qWzv2vvUt6ugePZdHqyrrc2d5ZEH3Fpm28/c1PGAY0qVuTl/p193vmNlfWImbDNjo8+3bG561rVuZXPmDKK4/94/6//rGeiQuWA3B9o8vp2rqxzzPam//EqN0I1zMfOtfqSWMyt7kGvonnHef7y/PTZ7i6PQLuYOyta7C3OL1PjSuaYXbuC0UicPV9FvvAbqxxr8PZ01gxP2eMLLSxN/+JvflP34b3eEgYOpSKX44Hl8nxyT+QGhtLqScGkLxxA6fmzfPt+10ge8sa5xgPeR9SU/FMznaMB7yB592nAfBM/QzXXQ879aEtazOPsdm5L7jduPo5Ddf23lisn8ZhtOoApcpgtr8D2jvf5Z5xr+erEfNfFZA6Z370nfgFNa9pTZFSJRkRt5mfXx7O0i9814iUbx4PO559kSu+iwaXScK3kzizdRuXPT2YU+vWkTh7DuX69aHEDdeDx0PasWPEPp7VYBZSsQIh5cpxfKmf12SyLNK/+YCgwSMxTBPP4lnYB/bg6tILe9c2rLXLsGJmYvZ/huBRE7BPnyTt44xG6ohiBA0a6SzInXSUtE+9Gz1cTduS9s5z/s0PtKlenpgd++kwZqpTv7glayHjLuN+YUq/W4g/cZqxSzY6dfvPZgDQo0kt7mhYgxV7EnhnwRrnOlIxihc7+KZxN5NlkR79IUGDRjift8WznWPcuRfW7m3YGcfY3f8ZgkaOxz59kvRPMo5xeDFnP9vGTjpC+rhRvs12ntpcUZ2YTdvp8PJHznXv3lszt3UZPo4pz/ULSK5/0qZaeWK2H6DDx9MyzousBqQun81gyv03O+fF0ozz4nOnIb1Hk5rc0aAGT1/XiJdn/sFXKzYDBsNvaem/ez/LQ+pn7xDy4ttgukif/wt23C6Cut2PtX0LnlW/Y1arTfCQERiFw3E1uQq72/0kD7gHLIvUCR8R+sp7gIG1cyvpc6f7J+c52japT8yqtdzQf7BTh3si6zzo/PjzTH3fOY8H9e7GkLc/Yfhn0ZSICM8sF/3LHJat3YTb7SKiSGFGDuh/cTKvXs8NDzxFaEgIwx+/PyvzEy8y9T2nUX1Qr7sY8vZYJ3PRCIY/4ZR7c/x3nDmbwoBRTsfHspEl+PiFgTnfyBc8HuKHvsJl4ydgmCbHfphMSmwskQMGcHbDP9eHCjVtRuSAAZCejm1ZHHzxBazjfliTS+T/KeNiLjYpF+Z8RyRcKlIXLw90hHwLqlwu0BHyxaiZc7qhS96J3BcQvZSdnXtpLSr8r6wC9VUBQNhzQwIdIf/2bv/3MpeSgz5tp74o0tZsDHSEfAse8kqgI+SLfezQvxe6xNhTv/v3QpeY7VMvzbVY8lK9q+8bdvwtLc4P0x/50cDvCtY5AXBPaf/2PPWHpjcVrLqy+9prAh0h3zyX6PoV/8R1T89AR8iffbsDnSDfUqbP+vdCl5iwEe8EOkL+2FagE+Tb5o7+7+zia3V37FTX+gvg+XBwwXsoEUCuR0cXuPMs8CvyiYiIiIiIiIiIiIjIJUsNCSIiIiIiIiIiIiIikic1JIiIiIiIiIiIiIiISJ602LKIiIiIiIiIiIiIXDh/LcwulwyNSBARERERERERERERkTypIUFERERERERERERERPKkhgQREREREREREREREcmTGhJERERERERERERERCRPakgQEREREREREREREZE8uQMdQEREREREREREREQKMEP91f/X6TcsIiIiIiIiIiIiIiJ5UkOCiIiIiIiIiIiIiIjkSQ0JIiIiIiIiIiIiIiKSJzUkiIiIiIiIiIiIiIhInrTYsoiIiIiIiIiIiIhcONMIdALxM41IEBERERERERERERGRPKkhQURERERERERERERE8qSGBBERERERERERERERyZMaEkREREREREREREREJE9qSBARERERERERERERkTy5Ax1ARERERERERERERAowQ/3V/9fpNywiIiIiIiIiIiIiInlSQ4KIiIiIiIiIiIiIiORJUxsVBCEhgU6QL0GlIgIdIf+Onwh0gnyxV66AUiUDHSNfjIiCd14YrgLW1uo2Ap0g/47EBzpBvrlu6B7oCPmS/vpjgY6Qb0E1qwQ6Qr4ZoYUDHSFf7G0bAx0h3zyHkgIdId+CQ1yBjpA/rgKWF3AXK1ifvXtKF7z60DeHClY9GaBl3ZqBjpAvxhXNAh0h35LH/xjoCPlW+HBCoCPki+u2foGOkG+eb6cHOkL+hYQFfllmswAAIABJREFUOkG+WHFbAx0h3xJPpQY6goj4SAF7SiYiQIFrRBAREREREREREZGCSw0JIiIiIiIiIiIiIiKSJ01tJCIiIiIiIiIiIiIXziiA0y1LvmhEgoiIiIiIiIiIiIiI5EkNCSIiIiIiIiIiIiIikic1JIiIiIiIiIiIiIiISJ7UkCAiIiIiIiIiIiIiInlSQ4KIiIiIiIiIiIiIiOTJHegAIiIiIiIiIiIiIlKAmeqv/r9Ov2EREREREREREREREcmTGhJERERERERERERERAoAwzBKGIYxxzCM2Iz/Fs+lTAPDMJYZhrHJMIz1hmHcnW3beMMwdhmGsTbjT4PzeV81JIiIiIiIiIiIiIiIFAzPAPNs264BzMv497nOAD1t274c6AC8axhGsWzbn7Jtu0HGn7Xn86ZqSBARERERERERERERKRg6ARMy/j4B6HxuAdu2t9m2HZvx9wPAISDyv3lTNSSIiIiIiIiIiIiIiBQMUbZtH8z4ezwQ9U+FDcNoBgQDO7K9PCxjyqN3DMMIOZ83dV9QVBERERERERERERERAMMIdIICxTCM/kD/bC99atv2p9m2zwXK5LLr89n/Ydu2bRiG/Q/vUxb4Guhl27aV8fKzOA0QwcCnwBDg1X/LrIYEEREREREREREREZGLJKPR4NN/2N4+r22GYSQYhlHWtu2DGQ0Fh/IoFwHMAJ63bXt5tp/992iGFMMwvgQGn09mTW0kIiIiIiIiIiIiIlIwTAd6Zfy9FzDt3AKGYQQDU4CvbNv+4ZxtZTP+a+Csr7DxfN5UDQkiIiIiIiIiIiIiIgXDSOB6wzBigfYZ/8YwjCaGYXyWUeYuoA3Q2zCMtRl/GmRsizYMYwOwASgFvH4+b6qpjURERERERERERERECgDbto8C1+Xy+irg/oy/fwN8k8f+117I+2pEgoiIiIiIiIiIiIiI5EkjEkRERERERERERETkwhnqr/6/Tr9hERERERERERERERHJk0Yk/JcMwzhl23aRXF7vCTwN2EA6EG3b9mjDMFoA7wEhGX8m2bb9iq9z2bbN8HlriNl5kLAgF8NvakbdMiW8ypxNS2fgtKXEHTuFaRj8H3v3HR5F9TVw/HtnNw0IhIQkFOm9NxVEiqiAYKFYfgoIIk0FBRR7QURAwQ6KgCAgiIgKNqRIC7136b2kEkoaSXbmvn9MSLJsokayRHzPx8dHd+bO7NnN7J0zc8u0rlKaZ1vVB2DerqO8t2IHYYEBAHRrWIUH6lfO7zDdqJqNMO7vC4aBtW4Jesl37gWcToxHn0WVrQxJCZhfjoH4GChfFcfDAzN2orAWfI3eud47MdZqjPFgP1AG1trF6MVzPWPs+RyqbBU7xinv2DFeVjwUx+sT7Bh//wEAx4ipcCkFLAssE/Pdwfket9GhO6pqfUhPxZw3GSKPexYqVQFHl77g9EUf3IG1wJ5GzXhwAKpESbuMfyG4lIw54XUIKILx8EBU6Uro7auwfv0q3+O+TN3+AKpibXClYf32FcSc8izT/F5UrZvBvxDWJ89lLa/dBNWqEyReAEBvW4netc5rsToaNsG3z2AwHLiW/Ez6D+7fi1GrAb69B2FUqEzqe8Mw1y3PXOfT8ymcjZuBMjB3bCLtiw+9FqdHzL0Hg2Hg+v1n0n9wn0LPqFUf38czYn5/GOa6FVkx98iI2VCY2zeRNuUjr8ertWbUTyuJ2HeMAB8nox5qS60bwjzK9ftiPrEJSbgsi8YVSvN659Y4DINnZy7gaOw5ABIupRLo78e8Id28Hnf2+Ed++Ckr123A39+Pd157gdrVq3mU+2XxMibO+BoUhJUowdhhLxMcVCzf41E1GmJ07m3Xaxt+Ry/9wb2Aw4nRbRDqhsqQnIA5/T04F2tve0cXjCZ3grawfvgCvX+7vbzVvRhN7wQNOvI41uxx4ErH+N8Auw5XCh17BuvrcZB2Kd8/U+Zna/cIqkpdSE/D+mkqRJ3wLNO6M6puMwgohPXuAK/FkhOtNSMnziBi83b8/XwZPeQJalep6FEuLd3FiAlfsnHXXgxDMbjH/2h3682Z6xet2cigUR8x96O3qVu1ktdjHrV0KxGHz9j5RYemOecX89dw8nxCRn5Rhmdva5C5/re9J/h0zS4UUCOsOGPva+a1eFXdm3B2H4AyDMyVCzB/+cZ9ffW6OLsNQJWthOuzt7E2RWSu8xk6GlW5FtbB3bg+eNVrMf6ZgOYtCHnpVZTDwcXv53Lhi0k5livcpi3hH43n1ENdSNuz+5rEZtzbE1W9AaSlYX43Ac4c8yxUuiKOB58AH1/0/u1YP093W62a343j7u64RvSD5ARUg1sxWt4HCki9hDl/So6/239C1WqM46H+dl23ZhFWDjmco+dQVLkq6KQEzC9G2zlccBjOYRMh2s49rKP7sWaPB8Ax8C1UsWAwHFiH9mB98xloK1/ivVJQ69uo9PZwlMNB9KzZnBr3qdv6sP89SMU3XiM1KgqAyKnTiJ41m2K3NqPiW8MyyxWqUpl9Twwg/rdFXonz73p0yqfUvecuEmJiGVG3aYHGkp2640FUpdqQno712wyIPulZpsV9qNpNwD8A66NnPXdSrQGOTv0wZ7yTb8dvbrTWjJr+PRHb9+Dv68uoJ7tTu2JZj3I93vqY2PMX8ff1AeCLlwcQUiyQeSvXM3bWj4QH2/lF17YtefB279XJjpua4T/weZRhkLZgPmmzv3Rb7/tAd3w6dAbThb5wjpSxw9HRkQAELtmMdfQQAFZMFCmv5f81U0601oz6bR0RB0/aeWenVtQqXcKjXL+vfiM2IdnOO8uX5PW7b8VhGIxdtIEVB47j43BQtnggIzu1omiAn9djHvnBJ3au6efHO6+/TO0aOeWavzNx+kxAERZagrFvvkpwUFDm+qmz5vDuuM9Yt/BHt+X5zdH4FvyffA4Mg/SFP5L2rfu5wqdLV3zadQTLRJ8/z6UP30LHRGFUqob/0y9CoSJgmaTN/hJXxBKvxZmd1pqRn00lYtM2O4cbOpDaOeRgaenpjBg/hY0792AoxeBeXWnXoilnYmJ5aex4EhKTMC2L53p3p9XNjbwe86jZvxKxaz8Bvj6Mevx+apUvk2v5AZ98xcnYeH4aMQiAfScjGT7jR5JT0yhTIogxfR+iSIC/1+L9r533hPivkIYEL1BKtQcGA2211meUUn5Aj4zV04GHtNY7lFIOoLo3Yog4Esnxcwks7NuBnZFnGb5kC3MebeNRrtdN1WlSPpw00+TxOSuIOBJJy0qlAGhfoyyvtWnsjfA8KQPjwScwP30dzp/F8fwHmLs2QFRW8q5uaQvJiZhv9Uc1aoHR8TGsL8fAmROYY4fYN+KLFsfx0ieYuzfar/M7xv89ifnJa3A+DseLH2LuXO8eY7N2doxv9kU1bonRuRfWlHcz1xv390H/scVj1+ZHL0PSxfyN93JMVetBSDjmx8/DDZVx3PsY5qThHuUc9/bE/HEqnDqM8ehzqKr10Ad3Ys3NOmEb7R5BpybbL1xpWEt/QIWVQYXf4JXYAahYC1U8FGvKcChVAaPNw1iz3vMopg/vQm9bidF7mOe6/VvRS+d6LM93hoFv/6FcGjYIfTYG/7FTcG1chT51LCuWuChSP3kbn05d3TetXgdHjXqkDLarCv9Rn2PUaYi1e5v3Y+73HJfeHGzHPOYLXBtXu8ccG03quJH4dHwkh5jrkjLkcswTMGo3xNrj3Zgj9h3jeNx5Fr7Qk50nohg+bxlznn7Yo9wH3dtTxN8PrTWDv/qVRTsP0qFBdT7o3iGzzLs/RxDo792LuStFrNvIsVOnWPztDHbs2cubYz9m7hfuibHLZTLyo0/59eupBAcVY8ynE5n13Xye7tMzf4NRBsb9/TA/f9Oue4eMsevP6KzGOtX0TkhJwhz1FKphc4x7e2DNeB/Cb8Bo2Bzz3WegWDCOJ4djjhoARYMwWtxtL09Pw+g5FNWwOXrTcqz5UyE1BQCjYy9Uiw6eDRf5pUpdVHA41qevQJlKGB0exZo60qOYPrADvWkZxoBR3onjT0Rs3s7xM1EsmvwBO/YfYvinU/n2wxEe5T6fM5+QoGIsmvwBlmVxISExc11icgpf/biQ+tWrXJuYj0RyPD6Bhf3uYeeZswxfvJk5Pdp6lOt1c42s/OKb5UQcPkPLyqU5Fp/A5PV7mNW9DcX8fTmb5L2GJJSBT49nSBvzAsTH4jP8M6yt69BnshrT9dkYXJPH4Gj/oMfmrgXfonz9MW6/x3sx/hnDoMSrw4js2wtXdBRl5nxP8vKlpB8+7FZMFSpM0e49ubRj+zULTVVvACElMd8bAmWr4OjUG/Oz1z3KOTo9jvnDZDh5COOxF1HV6qMP7LBXFgtGVa2LzmiYBNDxMZiT3oJLSahq9XF06ZvjfvMesIHj4adwffIqnIvD+dJHWFfkcEazdujkRMxhfVA3tsTR+XG7QwhAXCSuUU977Nb8YrTdGQRw9HsV1bg5enOER7mrZhhUfudtdj/UlbQzkTRY9CtnFy0m5cBBt2KxP/7MkVdec1t2Yc1att/RDgBnUBCN16/m/IqV+R9jHq2bNosV4yfx2IyJBR1Klkq1UcXDsCa/mZVzzhzrUUwf2oneugKj75ue+/D1w2jcGn3mqNfDBYjY/gfHo2JY+OEb7Dh0jLemzGHO20NzLDt2QE/qVC7nsbz9LQ15vddD3g4VDIOAQS+R9PyT6NhoCk+YhWvtSqzjRzKLmIf2kfZkN0i9hM99D+LfbxApI16yV6alktTPM9/ztoiDJzl+9gILn3mInadiGP7Laub06+RR7oMH76CIv6+dd875nUV7jtKhbmWaVS7DkDtvwukweH/xBiav2s5zbZt4N+Z1Gzh28hSL585ix54/eHPMB8yd+rlbGZfLxcgPx/Hr7OkEBwUxZtwEZs2dx9N9ewEQGR3Dmo2bKF0y3KuxYhj4D3iB5FcGouOiKfTJdFzrI7BOZP2GrEP7Sf61B6Sm4nP3/fj1foZLo19Bp14iZeyb6DMnUcElKDT+K1xb1kFS4p+8Yf6I2LSN46cjWfTlOHbsO8jwTybx7bh3PMp9PvsHO4f7cpxbDjdh1ve0b9mMR+5tx6HjJ+n32iiWfTXBuzHvOsDx6DgWjnqWnUdOMvyrn5jz2pM5ll2yZQ+F/H3dlr0xbR7PP9Sem6pX5PtVm5m6cBXPdPa8x5Qv/oPnPSH+K2RqI+94GRiqtT4DoLVO1VpPzlgXBkRmLDe11n94I4Blh07TsXYFlFLUL12ChEvpxCamuJUJ8HHSpLydGPg6HNQKL050QrI3wvlr5aui4yLhbDSYLqwtEai67gmWqtsEa8NSAPT2Nahq9ugJ0lOzGg18fEFr78RYoRo69gycjcqKsb57DypVrwnW+owYt61GVa+fta5+U/vz5TQawItUjUbo7WvsF6cO26MKilzRq7lIMfALsNeT8f3W8OwRoercnDXaIz0NThwAV7o3w0dVqYfes9F+EXnMjrNwUc+Ckce81hjzdxlVa2FFnkJHnwGXC3P17zibtHAro2Oi0McP59xj0dcXnE5w+oDTgT4ffw1irnlFzEtx3nxFzLGXY77yt6XdY3Y40Re8H/OyP47QsVFNu34rX4qElFRiLyZ5lCuS0UDgsizSTQuFco9e64zGBc8eWt60dNUaOt3VFqUUDerU4mJiIjFxZ91jy/gnJeUSWmsSk5IJKxGS/8GUu6Lu3bYaVedmtyKqzs1YG+2RM3rHWrtx8vLybavBdEF8jL2fclXtjQyHXR8bBvj4wcWM4yI123nIm/U1oKo1QO9ca784fSTnuu/yuowRS9fa0vVb6Hh7C/tYqFGVi0nJxMSf8yj3w5IV9HvoPgAMw6B4saw68JOZc+nzwL34ZvQy9bZlB0/RsU5GflGmBAmpaXnKL77bcYiujapRLOPiNKSw93qyqco10DGnITbSPr7XL8dodEVP27ho9MkjOR6L+o9t6EsFlBcBfnXrkX7yOK5TJyE9naQFv1K49Z0e5YKfGcT5KZPRqanXLDZVszF62yr7xclD9u8r8IreqoFB9jn7pN2DWG9bhap1Y+Zq4+4eWL997b7NiYNwya7P9YlDUNR9tMs/jvdyDheXkcNtjsCof4t7mfpN0et/t99762pUjfo57OkKGY0IGA5wOO1xyF4Q2KgBl44eI/X4CXR6OrHzfyTkLs8GvL8Scu/dnFu2HCvFiw14f9OhVWtJzqG+K0h2zrnBfhF5zD6u85hzqub3Ym1Y4vX8+LJlW3bRscXN9nmkakUuJqcQc65gzml/xVGjDtbpk+jI0+Bykb5sEc5mt7mVMbdvhlT7+DT/2IkK9fJN7L9h2b7jdGxQ1T7vlQ0n4VIasTlcMxfJOK+5LG3nnRlp561VbsDpsG+71C8bRlQOOWt+Wxqxmk4d2mXkmrVzyTXtXDgz10xOJiw0K9cc/dF4nh/4hEf+nN+M6rWxIk+io+zjwrVyCc5bWrmVMXdugYxznLlvF0YJeySyPn0CfcZuENbxcejz8ahixb0a72VL126iY5vb7O+4ZjU7hzubQw63cBn9Hu4MuOdwSikSk+3jKCEpmbAQ78e9bPteOjZraB/LlcuRkHyJ2POedVnSpVSmL15D/3tauy0/Fh3HjdUqANCsdhUWb9njtVj/i+c9If4rpCHBO+oAnt3ObR8C+5VS85RS/ZVSXrmCjklIoWTRQpmvwwMDiE5IybX8xUtprDh0hqbls5K1xQdO0enLhQyev4bIi969kFZBIXAuLmvB+bP2suxlioXA+YwylgUpSVnJfflqOF75FMfL47DmfJb/oxFyivFcnB2TR5nYbDEm2zH6+WO0eQBrwRUXzABa43h6BI6XPkbdele+x03RYLebu/pivOeFedFg9MVzf16mfHVIvAjx0fkf459QRYLQCdmSsoTzUCRvQ2tV1QYYPV/GuK+3542OfKSCQ9FxWd+PPhuLCg79W9ta+3dj7dpKoS9/ptCXP2Nu24g+5f1GJzvmrOm39NkYVMjfjXmPHfPUnyg09SfM7RuuScwxFxIpGZQ1o1x4UBGiL+Tc86jvF/No8dZkCvv50Laee4/tLUfPEFKkEBVCr80Fx2XRsXGUDM/6jkuGhhIdG+dWxsfp5M2hg7j30T60uO8hDh89zgP3ts/3WFRQcFa9CnDhrGe9dmXdeykZCgdmLM92UXr+rL2/C/FYK37E8cYkHMOnwqUk9P4dmcWMhwfieOtLCCuDXvVrvn+mzLgDi9t12WUXz3n19/9PRJ89R6nQrLq2ZIlgoq+4CL2YaN9w+PiruXR55hUGjfqIuIybRHsOHSUy9iy33dzwmsUck5hCyaKFM1+HBxb6004Idn5xmqYV7Cnyjp1L4Fj8RbrNXMLDMxaz6sgZr8WqipdAn83e2z0WVdxzOop/K2d4OK7IqMzXrugoHOHuN9V8a9bCWbIUKRErrm1wxYLR2X7/+kJuuUW2/OPCWShml1E1G9sNjH8y7Yu66Tb0gXwaZXFFDqfPxdnLsr9fUEjW6IjsORxASEmcr4zDMeRdVJXabts5nh6Bc+zXkJqC3ro6f+K9gm/JUqSeicx8nXomCt+SpTzKlbinPQ2XL6HGFxPxLe25PrTTfcTOm++VGP8LVGCQWz5MQh7PG+FlUYHF4ci1mV4MIDr+PCWz3YAsGRxETHzODQmvTJxJ55fe4bMfFqKzNZ4u3riDji+MZtCHU4jM4UZoflElwrBisuXJcdEYobnnnL4dOuHauCbbAl8KT5hFofHTcd56m9fivFJMQhIli2bLO4sWJjqXxoC+MxbQYsxXdt5Zy3Oqwh+2HqBFVc+pp/JbdGwcJcOypv0sGRZKdGysWxkfp5M3X3iWe7v1osU9XTh89BgP3Hs3AL9HrCYstAQ1qnp/tKMREooVm3VcWHHRf3ot4tOuI67Naz33U60WOH3QkZ5T4HpD9NmzlMrW8GLncO6NNZk53PRv6PLU8wwa8R5x584DMPDRh/hp6Spade1H/9dG8dpTvb0ec8y5i5QMzupUE168KNE5NCSMm/87j7W7lYArOqlUKR3O0m17AVi0aTdRudQ1+UHOe0L8e0lDwjWmtX4LuBFYDHQFFhZsRHZv3aE/r6N746qUzbg517pKaX7vfw/ze93FLRXCeWXBhgKO8i8cP4A5agDm2Gcx2j5o947+FzHu7oa1bH5mD5vszPdfwHxnEOb4NzBa3Q1XXKD+Wxh1m2J58dkC3qIP78aaPAxr+mj0sX0Y7R8t6JBypEqWQd1QgeTenUju3RFH3cYYtf5Gb8gClBlzn84k9+lkx1zz3xXz5D6dWflaH9JcJhsOuc9z/Ov2/XRo4JXZ5a5ausvF7Hk/M3/aRFb99C3Vq1Ri4ozZBR3W3xNQGFXnZswRT2AO6w2+/qjGWT3LrG/G28ujT6EaNi/AQK8PpmkSFRdPw5rV+OGTUTSoWZUxU2ZhWRbvfDGTF/t0L+gQc+WyLIb+tJbujatl5hempTl+LpFpj9zBe/c1Y9jCTVy8lFbAkV6nlCLkhZc5O8ZzKoV/NR9fjNadsJbkPuWgqlQL48bWWAv/BfXexXhcr/bENeppzO8n4+j1AvgHZK42x72O68Xu4PRxG4l6rcUvXsKmG29hW+s2nF8ZQbVx7s8s8gkLo3CNGpxfLtM7eIfCaH0/1vLvCzqQHI0d2JOfxrzCzGGD2bLvMD+uskf73taoLks/eZMfx7xMs7rVefkz7z3zLC987uyAUa0WaXOy5spPfKQDSU92I2XkK/gPeB5V2otTq/5Dk3t0YOXQbnbeedS9ofzzldtwGIp7612bqQj/SrrLxewffmT+jC9Y9csPVK9SmYnTZ5Fy6RITp81kUL/HCzpED87b2+OoWpO079yPUxUcQsALb3Hpg7e8Oto1r+wc7iwNa1Xnh8/G0qBmdcZMmgHAr8tX07ntbaz8ehIT336FF8fYUx8VtL0nznAyJp47G3nek3i7Vxe+Wb6BB976lKRLqfg4HQUQYRY57/1LKSX/5uXf65A8I8E79gCNgWU5rdRaHwYmKKUmA7FKqRCttVvztVKqH9APYMKjd9O31V8/eOfrrQeZu9OeY7JuyWCiso0iiE5IITwwIMfthi3aTPnigfS4MeuGWlC2B0A9UK8S76/Y+ZfvfzX0+bPuvQSDQtx6ukFGT7agEnYPWMOAgMKew4qjT6FTU6BU+cyh9F6LsXgJO6YrylA8NFuMhSDpIqpCNVTDW6Hz4/ZNNq2x0tPQK3+By/tIvIDesQ5VoTr60NUNE1Q334HR+DY7ptNHUcWCM0fbq6LBWdOMXHYxHlU0qzeTRxnDQNW6EevzN64qrr9LNWiJqmdPP6Gjjts9iy+vDAyCxPN/f2eXsnoM6V1r7Qcve4mOj0WVyOotqkJC0fGxf7JFFmfTVlgHdmdOk2BuXYejeh2sP3b8xZZXx445q8eSCglz68H7Z+yY92SLeT2O6rWx9uZ/zF+v3cHcDXYPv7plw4k6nzUCIfp8IuHFPJ55n8nPx8nttSuz7I8jNKtWHgCXafH77kPMfeaRXLfLT7O+n8+3Py0AoG6N6kRFZ33HUbGxhIe695Lee8Cuv8rdUBqA9rffxqSZ+X9DTZ+PRwVle+9iIZ712uW690JGveZfCJISMpZn69EbFGLvr1p9e6qkjPpZ71yPqlAdvSVbEq8trG2rMW7vjN6Y46nyH1E3tkY1bGm/xZljqKJZdR9Fi9sjmgrYrF8WM3ehPVVU3WqViIzNqmuj4uIJv2Joe1DRQAL8/Gjb7CYA7mrelO8XryAp5RIHj5+kx0v2MxXizl3gqbfe47M3hub7A5e/3nqAuTvsqe/qlgzJmJbB7i0YnZBMeGChHLcbtnAj5YMD6XFTjcxl4YGFqFcqBB+HwQ1BRSgfHMjxcwnULZX/U3fpc3FuvRpVcKjdE/064YqOxlmqZOZrZ3hJzOisXpuqcGF8q1aj1DT7hoqjRCglx08gauCTXnngsmraBuOm2wHQp47YPfgzBqGpYrnlFlmjFFSxELgQD8HhUDwUx6CMZ0gVDcbx9CjMT1+zpxkrWQ6jSz/Mae9Acj7Nc33+LGTL4VTxEu4jqric54XauVy2HA4AV4L93xOH0HGRqLAb0CeyzdPsSsfasc6eHmlf/j8nKC0qEr9sPS39SpckLSrSrYzrXFb9FjVrNhXecH9AeGjHezn720K0y5Xv8V3PVMOWqHq3Ahk5Z9Hi6NMZKwPzcN7w9YMSpTEeGWK/LlwUo8sTWD98nu8PXJ61OILvltk9sutUKkdUtlEEUfHnCQv2nMYvPNgeWVE4wJ97bm3MrsPH6dSyCcUDs0aYPXB7M977+sd8jTU7HReDEZYtTy4RjhXrmXM6GjXBt1tvkof0gfT0bNvbZXXkaVzbN+OoUgPXGe/0Pv96wx7mbt0HQN3SoURdzJZ3XkwiPNvIvCv5+Ti5vUZ5lu07TrPKdmPHvG0HWHngBFN73o3y0o2jWd/N49sff7FjrlmdqJisEcdRMbGEXzH6Y2/GXPPlbrAfttv+jtZMmjGLO07dyqnISDp2t3vIR8XG0qVnX+ZO/ZzQkPw/V1tnY/HJNoWVUSI8x2sRR8Ob8X24FynP93c7LihUmIC3PiJ12mdY+7w7GmjWT78xd4E9jXHd6pWJjM06j9g5nPv3k5nDNbenbL6r5S18v8je/vtFS5k80p7bv2Gt6qSmpXHuQgIhxXOYhvMqfL1sPXMjNtkxV7jBbRRB9LmLhAe5T9+24/BJdh87zZ0vjMW0LM5eTKLnmC+Y/kIfKpUK5Yvn7GdoHIuKI2LX/nyNNTs57wnx7yUNCd4xGhirlLpbax2llPIFemitv1BK3Q0s0PZ40qqACXhkqFrrScAkAHPKG3+rWb1ro6p0bWTPT73y8BlmbT1Ih5rl2Bl5lkA/H0KLeDYkfLxqF4mp6Yy46ya35bGRDg+rAAAgAElEQVSJKZnllx86Q6WQwL/94f+REwdRoaUhJBzOn8Vo3BJzmvsDdfWuDRhN7sA6th/V4Fb0gYzGjZBwezohy4LiofaDf+NjcniTq3T8ACqsjHuMX7o/gE3v3IDR9A6so/vsh4vut2M0P3gxs4xxd1d06iW7EcHXD5Rhzxvu64eq2Qi94OpvFuqNSzE32kmKqlYf1eRO9K71cENle1qSK+cDT7xgx3BDZTh12P5+1y/JXK0q1Ya4SHtqkGtAb49Ab894WGGl2hgNW6L3bYFSFew48/IshMJFs8pXrms/48JLrIN7MUrdgAorhY6PxdH8TlI/ePPvbRsbjU/b+0g3vgIFjjoNSf95jtdizXzfg/uuiPkOUj/0fBh3jtvGRuPT5l7Sv3fYMdduQPrP33olzq7N6tO1md3Tc+Xeo8xau4MODaqx80QUgQF+hF5xQZeUmkZyajqhRQvjMi1W7j1K44plMtevO3SCiqHBlAzyct2Wodv9neh2v92ItWLNemZ+P5+727Rmx569BBYu7PH8g/DQEhw+dpz4c+cJLh7Emk1bqFze8wGJV+3kQVRoKQgOgwvx9sOTZ37oVkTv3oRxc2us4/tR9ZuhD+2yl+/ZhKP7EMwVP9kPTQ0tBScOorWFUaGa/QyE9DRUtXroyw27JUrac5QDRp2bICZ/bwDozcvRm+2b9FSph3HT7fYzVspUyrnuKwDd7mlLt3vsOV5XbNzGrF8Wc3erW9ix/xCBhQMIC3ZvSFBK0bpJQzbu2kvT+rVZt303lcuWIbBwIdbPnpRZ7tGXRvBC72753ogA0LVRNbo2sp8lsvLwaWZtOUiHmuXZeeZP8ouInXZ+0d79eUd3VC3Dgr3H6VKvEueSUzken5A5WiG/6SP7UOFl7OPuXBxG09a4Jng+cPvfKnX3LnzKVcBZ5gZcMdEU7nA3Mc8/m7leJyZyvHnW91vqy684+967XmlEANDrl2Bm5AaqekPULW3RO9ZC2Sr27+vKG64J5+1zdtkqcPIQqmEL9LpFEH0Sc+QTmcUcL3yCOf5VSE6AYiF2vfLtp5l1Rb7EfvwAKixbnnljS1xTx7iX2bkB1fRO9NF9qEZZORxFitoP7tQWlCiJCittPxPGz99+BsTFc2AYGHVuRh/yznefsG0HAZUq4leuLGmRUYR26sj+Jwe6lfEJCyM948ZhSLu2JB9071BTonNHjo+8zkavXAN6WwR62+Wcsw5Go1bovZvznnOmXcIa/0LmS+PhwVgrfsj3RgSAbm1b0q2t3Wi+Yutuvl4cQYdmjdlx6BiBhfwJu+JGpMs0SUhKoXjRIqS7TFZs3cMtdewOZDHnLmSWX7ZlF5XKlMRbzH17MMqUQ5UsjY6Lwef2dqSMfNmtjFGlOgHPvkryiwPR57NddxQJtEd2p6ejigbhqNPAbbRCfuvapDZdm9g9slceOMGsDXvoUKcyO0/FEOjvS+gVDehJqekkp6UTGljIzjsPnKRxefu7XHXwJFPW7GBGr3sI8PXe7ZduD3Sm2wP2XPwr1qxj5twfuLvNHezY8weBRXLKNUM5fPRYVq65cTOVK5SnepXKrPstq0Hp9k7/47tpEwkO8s70kNb+PzBKl0OFl0afjcHZqg2X3n3drYxRuRr+T79M8mvPoC9kOy6cTgJeH0v67wtwrc6/jim56XZfe7rdZ081umLDFmb9+Bt333YrO/YdJLBwIY/nHCilaN20MRt37KFpw7qs276LyuXsxqVSoSVYt30XXdq25vCJU6SmpRMclMMzWa5S19ub0vV2+7mOK3fsY9ay9XS4uR47j5wksJAfoVe858Otm/Bwazu3OB13jic/nsH0F/oAcPZiIiFFi2BZFp//spyHWrk/Vy0/yXlPiH8vaUi4eoWUUtnvhHygtf5AKRUO/K7sLgcamJqx/lHgQ6VUMuACummtzfwOqmWlUkQcieSuyb/i73Qysn1WJd952iLmPdaOqIRkJq77g0rBgdw/fTEA3RpW4YH6lflqy0GWHzqN01AU8/djVIcmub1V/rAsrLmf43hqOCgDa/3vEHUCo0M39ImD6N0b0euWoHo8i+ONiZCciPmlfQGoKtXCaPOA/cBPrbG+/dw7D921LKw5E3AMHAGGgbVuCUSewLinO/r4QfSuDei1i1GPDcXx5mRITsCcMubP9xlYHEf/jJZzw4G1eSX6j9wer/HP6AM7UFXr4xg8FtLTMOd9kbnO8eQIzAl2omb+MgNH577g44M+uBN9MGsUiqrbFGun57RGjiHv2xfRDieOGo0xZ4yB2Hye7/rIHnTF2hh9hkF6OtbCmZmrjB4vYc2wkwPVsiOq5o3g44PRfwR61zr02gWoRrehKtcFy4RLyW7b5zvLJG3yB/gP+xAcDly//4I+eRSfR/pgHdqHuWk1RpWa+L00GlUkEOeNzdGP9Cblme6Y65bjqNeYgI+/AjTm1g2Ym9b85VvmT8wf4j/sAzAcuJbmFHMN/F7MiPmmW9EP9yFlUEbMdRsR8PEM0Bpz2wbMzd6PuWWNCkTsO8Zd707H39fJyAfbZK7r/OEs5g3pRkpaOgOm/USay8TScHPlG/hf07qZ5X7bfuCaP2T5slbNmrBy3QbaPPgoAf7+jHr1+cx1HXv248fpkwgPLcGAx3vQ7akhOJ0OypQMZ/RrL/zJXv8hy8L6fjKO/sPsem3DUog6iXHXI+iTh9B7NqE3/I7qNhjHK5/Zde9X79vbRp3E2r4Wx0vjwDKxvpts32g7cRC9Yx2O594Hy0KfPoJeuxiUwtH1GfArBEqhzxzFmjsx/z/TZYd2oqvUxRgwGlxpWD9NzVxl9B2GNdluMFN3PICq08SebmXQWPS2VeiIn7wXVzatbmpAxObttO0zBH8/P0YN6Z+5rtPAl5k/fjQAz/V6hBffm8CoSTMILlaUUYP757ZLr2tZqTQRhyO5a9Iv+DsdjMyWH3T+8jfm9WpP1MVkJq7bQ6Xgotw/zZ7BsVujajxQvzLNK5Zi7dEo7vniVxxKMfS2Bm6jIPOVZeGaMQ6fF95FKQMz4jf06eM4ujyGProfa9s6VMXq+AwaDoWLYDS8Bd25J+mv2L0wfV79CFWqLPgH4PvRN6RPeQ+9a7N3Ys2JaRI38i1KTpqCMhwkzPuO9MOHKD7wGVL37CZ5ufdvmuRG79+Gqt4Ax9CPID0V87us37Lj6dGY4+ybg+aPX+J44Anw8UUf2I7e/+fPPDDu6AKFiuDomDGlhmVhfvrqn27zt1gW5jcTcD79tl3XrV2clcOdOIjeuQFrzSIcjw3FOfwLdHIC5hR7xISqWhfHPd0z80zz6/H2SInAIBxPDkM5fcBQWPt3Yq1acPWx5sQ0Ofzy69T5ZhY4DKJnzyF5/wHKvTCUxB07iF+0hNJ9Hye4bRswTdLPn+fgM0MyN/crewN+pUtzYe2/Z4rK3l9PpdptzSlSIoTRJ/fy87BRrJ1awNPqHNmNrlQbo+9w+7zxW1Y8Rs+XsabbdbJq1dl+cLiPL8aTI9E716LXeO+ZP3+mVcPaRGz/g3aD38Lfz4dR/bOmu+v80jvMe+cl0tJd9HnnM1wuE9OyaFa3Og/eYY/8nblwJcu27MLpMChWpDCjn+jmvWAtk0vj3qXQu5+hHAZpv/2IdewIfo89iXngD1xrV+Lffwj4FyJgmH0NZcVEkfLaYBzlK+E/5FV72hqlSJv9JdbxI96LNZuWVcsSceAkd308B38fJyM7ZU3X2HnC98x78n5S0tMZ8PUi0kwLS2turlCK/91YE4C3F6wl3WXSe4ZdP9S/IYw3723h1ZhbNWvKyrXrafNAVwL8/Rj12kuZ6zo+2psfv5pi55q9H6PbE0/jdDrtXPONl3PfqbdYJpc+G0OhkZ+A4SB98U9Yx4/g+2h/zIN7MddH4NdnEAQEEPCqfd2nY6NIefM5nC3b4KjbEFW0GD5t7gHg0vvDsY4c8HrYrW5uRMTGrbR9bKCdww19KnNdpyeGMv9zu1Pkc30e5cV3P2HU51/aOdzQAQC82L8nr3/4OdN/+AWFYvTQAV4brXJZy3rVidh1gLte/gB/Xx9GPt4lc13nN8cx782n/3T7BRt28vXy9QC0aVSbLs0bey/Y/+B5T4j/CqX/RXPIiZz93REJ/xZ6e/4P6fY6s+DnI8yTEvk/rNTbVNH872HhbZdWby3oEPLmOpxjz/8xL16weomj+X0FHUKeuN7+84uCfyMVHPzXhf5ljEee+utC/yJWxM8FHUKeuVasKugQ8uz0lpN/XehfpNx9Xrwp4CX6fMGPNMqLDT94d7pQb5gZ44UOOl726bv/3ufH5ETd6b2pN70lceiLf13oX6Zwv+sr73S0u76OY4CER+4t6BDyrMjEqX9d6F/EOum9KYW8Zd39gws6hDxrHn3q+ru4/hcwvxx+Xd2/LGiOXsOuu+NMHrYshBBCCCGEEEIIIYQQQohcydRGQgghhBBCCCGEEEIIIf45Q/qr/9fJX1gIIYQQQgghhBBCCCGEELmShgQhhBBCCCGEEEIIIYQQQuRKGhKEEEIIIYQQQgghhBBCCJEraUgQQgghhBBCCCGEEEIIIUSupCFBCCGEEEIIIYQQQgghhBC5chZ0AEIIIYQQQgghhBBCCCGuY0oVdATCy2REghBCCCGEEEIIIYQQQgghciUNCUIIIYQQQgghhBBCCCGEyJU0JAghhBBCCCGEEEIIIYQQIlfSkCCEEEIIIYQQQgghhBBCiFxJQ4IQQgghhBBCCCGEEEIIIXLlLOgAhBBCCCGEEEIIIYQQQlzHlPRX/6+Tv7AQQgghhBBCCCGEEEIIIXIlDQlCCCGEEEIIIYQQQgghhMiVNCQIIYQQQgghhBBCCCGEECJX0pAghBBCCCGEEEIIIYQQQohcSUOCEEIIIYQQQgghhBBCCCFy5SzoAIQQQgghhBBCCCGEEEJcxwxV0BEIL5MRCUIIIYQQQgghhBBCCCGEyJU0JAghhBBCCCGEEEIIIYQQIldKa13QMYi/kN6//XX1RzKqVy3oEPIsbdOOgg4hz3Saq6BDyBNHYf+CDiHPHGHFCzqEPNFJyQUdQp4ZNaoXdAh5lrJoTUGHkCcB/XoUdAh5FvP2pwUdQp4Vr1mqoEPIE2eZsIIOIc9UiRIFHULeORwFHUHepKYWdAR5lr7nQEGHkCfKcf3143LWqlbQIeTZgBdnFnQIefLePbUKOoQ8C7ijaUGHkGf65MmCDiFPkrcdKegQ8ixw2lcFHUKeme+9UtAh5I2PT0FHkGeq2vV3zefoP0rm6PkHzFmjr6v7lwXN0e3l6+44u/4yWSHEddeIIIQQQgghhBBCCCGEuH5JQ4IQQgghhBBCCCGEEEIIIXLlLOgAhBBCCCGEEEIIIYQQQlzHlPRX/6+Tv7AQQgghhBBCCCGEEEIIIXIlDQlCCCGEEEIIIYQQQgghhMiVNCQIIYQQQgghhBBCCCGEECJX0pAghBBCCCGEEEIIIYQQQohcSUOCEEIIIYQQQgghhBBCCCFy5SzoAIQQQgghhBBCCCGEEEJcx5Qq6AiEl8mIBCGEEEIIIYQQQgghhBBC5EoaEoQQQgghhBBCCCGEEEIIkStpSBBCCCGEEEIIIYQQQgghRK6kIUEIIYQQQgghhBBCCCGEELmShgQhhBBCCCGEEEIIIYQQQuTKWdABCCGEEEIIIYQQQgghhLiOKemv/l8nf2EhhBBCCCGEEEIIIYQQQuRKGhKEEEIIIYQQQgghhBBCCJEraUgQQgghhBBCCCGEEEIIIUSupCFBCCGEEEIIIYQQQgghhBC5koYEIYQQQgghhBBCCCGEEELkylnQAQghhBBCCCGEEEIIIYS4jhmqoCMQXiYjEoQQQgghhBBCCCGEEEIIkSsZkZAPlFI3AJ8CtbAbZ34BngeaAT8CRzOKxmmt71RKvQkkaq3fy9c4ajfG8dATYBhYqxdiLZrrXsDpg6PXc6hyVdFJFzEnj4azMfa6MhVwdH8G5V8ItIVr1CBwpeN4ZgSqaDA4HFgHd2PN/gy0lZ9hu3+G1vejKtaC9DSsRbMg5pRnmVvvRtW6GfwKYY1/3n1dtYaoW9qD1ui40+gFM7wWq1H/Znx6PA2Ggbn8V1w/fe2+vkY9fHo8jSpXibRP3sLauNJ9BwGF8B87HXPzatKnfey1ON1iatAE38cHg2HgWvozrnkz3dfXqo9vr0Go8pVJ+2AY5voV9vI6jfB97JnMcqpMOdI+HIa5cZVX41V1b8LZfQDKMDBXLsD85Rv39dXr4uw2AFW2Eq7P3sbaFJG5zmfoaFTlWlgHd+P64FWvxglgdHwcVbMhpKVhzhkPp496FipTCcfDA8DHF713G9aPU+3PUe8WjLYPQVgZzE9ehlOH7fJlq+B4oL/9/0phLf4WvXtjvseuajXG8VB/UAbWmkVYi6+sO5w4eg5FlauCTkrA/GI0xMdAcBjOYRMh2v6dWkf3Y80en+/xXUlrzajVfxBxPJYAp4NRd9SjVmgxj3Ifrd/PT/tPcyE1nS392mUuP5OQwitLd3AxzYVlaYbcUp1W5cO8GrOjcVP8+j8HhkH6oh9Jn+teN/l07opPu/vQpom+cJ7Uj0agY6IA8H/rYxw16mD+sYNLbz7r1Tiz01oz6qcIIvYfJ8DHyaiH7qRWGc/vqd+UH4lNSMJlahpXLM3rnVrhMOx+CjPX7GD2up0YyqBVzQoM7XCr1+L1u6U5RYe+AoZB8vzvSJr+hdv6Qvf/j0IPdgXTRKckc2HkMFxHD2euN8JLETr3ZxInfUrSzC+9Fmd2Rt2bcD460D6PrFiA+ctst/Wqej18utt1XPqnI9zruOffwahcC+vALtKvRR13b09U9YaQnoo5dwKcOeZZqExFHA8+CU5f9P5tWD9Pt7dt8xCqVmP73Jx4EWvuBEg4Z3/GSrUw7ukBDgckJWBOeivfY1e3P4CqWBtcaVi/fZVzbtH8Xju38C+E9clzWctrN0G16gSJFwDQ21aid63L9xiz01ozas1eIk7EEeA0GNW6bs513IYD/HTgjF3H9WmTufydNXvZcCYegEsuk/iUNDY8fqdXYwZQdz6EqlzHzuF+nQ7RJz3LtOyIqtPE/p4/GOy5k+oNcXTujzltFESd8Fqs18tvT9W9CWfXp+w8KOI3zF/d8yCcPjj7vohRoSo68SLpE96GuGhwOHE+NhhVobqd13/9GXrfDvAPwOeVD7P2XzwUc93vmF9P8N5nuONBVKXakJ6O9duMnI+LFvehajcB/wCsj3I4z1VrgKNTP8wZ73j1uPgzj075lLr33EVCTCwj6jYtkBj+iqNRU/z6DrFzjSU/kf7dV27rfTo+gk/bjFzj4jlSPx6Jjo26pjFm1m+Xc7jb/6R+u5zD9W2bufxMQgqvLNvJxbR0LAuGNK2Wrzmc0elxVM1Gdj7/zbic8/kbKuF4eGBGPr8Va76dzxNQBKPHs6jiYehzMVgz3oeUJAgojPG/AaiQkuBKw5zzKUSdhKAQjEeeQRWxP7+1fgl61a/58jkcNzXDf+DzKMMgbcF80ma75zW+D3THp0NnMF3oC+dIGTscHR0JQOCSzVhHD9kxxUSR8loOdXU+01oz8rOpRGzcir+fL6Off5raVSt5lEtLT2fE+C/YuGMPhqEY3Ksr7VrcwpmYWF4aM46ExGRMy+S53t1p1aRxvsepajbC6NIHDAfWusXo3793L+B0YnQfgipbBZIuYk4bC/ExqOoNMO7rAQ4nmC6s+dPQB3eCjy/G4y+iSpQCy0Lv3oj189Xfv/DKcXxZ2co4nh6NNfMD9M71ULoCjvv7gX8hsCyspd+ht6+96s8AGfXF8h1EHI0iwMfBqHY3Uiu8uFuZlHQXQ37ZwMnziRiGonWlUjzboi4A3+w4wuzthzEMRWEfJ2+2aUSVkKL5EpsQ/59JQ8JVUkop4Adggta6o1LKAUwCRgK/Aqu01vd4PxADxyMDcH30CpyLw/nyx1g7N0BkVrJt3NoWnZSI+Xpv1I2tcHR5HHPyO2AYOB9/AdeXY+HUUSgcCKYJgDlpNFxKBsDR/1VU4xbozStzDOGqVayFCgrFmjoCSlXAuOMhrNkfeBTTR/agt6/C6PW6+4qgUNTNbbC++RBSUyCgiHfiBFAGPr0GkzbqOfTZWPxGTsTcsgZ9+nhWnHExpH0+GufdD+e4C58He2Pu2+m9GK9kGPj2fY7Utwajz8bg/+4XmJtWo08dyyyiY6NJHT8Sn/secdvU2r2VS0Mfs18UCSRg/LeY2/P/hrYbZeDT4xnSxrwA8bH4DP8Ma+s69Jls3/HZGFyTx+Bo/6DH5q4F36J8/TFuvwY/vxoNIbQU5jtPQ7mqOO7vZzcIXMFxf1/MuZ/DiYMYfV5F1WiI3rcNHXUCc/rYrEaDy6JOYH78IlgWBAbheO59zD8226/zLXgDx8NP4frkVbvueOkjrJ3r7QucDEazdujkRMxhfVA3tsTR+XHMKe/YK+MicY16Ov/i+RsiTsRy/EIyC7u1Ymf0eYav3M2cBzxvULeuEEa3uuW5a5Z7nTVxyyHuqlKKh+uU51B8Ak/8uplWj3qxIcEw8HvqBVJeHYiOiyHgo+m41q9Cn8xK6q3D+0ke1BNSU3F2uB/fx58m9R37BlX69zNJ9/PDp0MX78WYg4j9xzked56Fzz/KzhPRDJ+3gjkDH/Io90G39hTx90VrzeCZv7Fo5yE6NKjGhsOnWPbHEeYN7oqv08HZxGTvBWsYFH3xdeIH9MaMjqbEjG9JjVju1lCQsvAXkr+fA4Bfy9YEDnmRc8/0y1xf9NkXSV3r3cZRN8rA2XMQ6e8+j46PxfetCVhb17rVcZyNJn3Suzg7eH7v5q9zMP38cbS+BnVc9QZQohTme4PtBs5OfTA/e82jnKNTb8zvJ8HJQxi9XkJVa4A+sB0r4mdY8q29r2Z3YdzRBWv+FPAvhNHxccypo+HCWSjshYu7irVQxUOxpgy3c4s2D2PN8uzHoQ/vQm9bidF7mOe6/VvRS+d6LPeWiBNxdh33SAt2xlxg+Ko/mNPlFo9yrSuE0a1OOe6a7X7cvnRrzcz/n7nrOHvjLno9ZirVQRUPw5r4BpSuiNGuK9aMdz2K6UM70VuWY/TPocHI1w/jxtvRp494N9br5benDHwefZq0sS/aedCwT7G2rUWfyZbbt2wPyQmkvdgTo8ltOB/si2vC2xi3dQAg/fW+EBiEz3OjSB8+AC6lkP7GE5nb+7z5Gdbm1d77DJVq28fF5Dezfn8zx3oU04d2oreuwOj7puc+fP0wGrdGn8nhRtg1tG7aLFaMn8RjMyYWaBy5Mgz8nhhKyuvPoM/GEPDBl7g2rEKfPJZZxDqyn+RnH7NzjfZd8O01kNQxnnW5N0WciOX4+SQWdm1p53ARe5hzfzOPcq3Lh9r129cRbssnbjnMXZVLZuVwC7bkW0OCqtHIPteNHvgX+Xw/zG8neOTzxh2d0Qd3YS2bh7q9M8btnbF+nYlxx/3oM0expo2BsDIYXfpgfT4cTBPrp2n2TV4/fxxDxmIe2JHZQecfMwwCBr1E0vNPomOjKTxhFq61K7GOZ9Wt5qF9pD3ZDVIv4XPfg/j3G0TKiJfslWmpJPXL+frVWyI2buX46UgWTRvPjr0HGf7JJL4d945Huc+//p6QoGIsmjYey7K4kJAIwIRZ39G+VTMeufcuDh0/Sb9XR7IsvxsSlIHxYH/MT9+A82dxDH0fc/dGt2sm1bQNJCdijuiPatQC476eWNPG2p04J74NF+OhVDkcTw7HfKMXAHrZfKyDu8DhxDFwBKpmI/Terf88TC8dx5nfwd2Pog/syNpRWirm7HEQFwlFi9vH8b7tmfeQrkbE0SiOn09k4ePt2BkZz/Cl25jT9XaPcr0aV6VJuTDSTIvHv4sg4mgULSuW5J4aZXm4vt0gtezwGcas2Mmk+5tfdVxC/H8nUxtdvduBS1rrLwG01iYwBHgcKHStglAVq6FjzkBclN3KvXklRn333jKq/i3o9b8DoLeuQtVoYC+v1Rh9+qjdiACQlJA16uDyCcBwgNMH0N77DJXrov/IuDkdeQz8AnK+qRB5DJI8L4pV3VvQ21fZjQgAKYleihSMKjXRUafRMZFgujDXLcNxo/tJScdFoU8cyXEEh6pYDYoVx9q5yWsxXsmO+RQ6+gy4XLhWL8VxUwu3Mjo2Cn38MOjc/86OW1pjblsPaalejVdVroGOOQ2x9ndsrV+O0eiKC424aPTJIznGq//Yhs6HBOZvxVr7JvTmFfaLEwftHhmBQe6FAoPs5ScO2vFtXoGqfZO9LuY0xJ7x3HF6WlajgY/vn/5d/nHsFaqhY7PXHREY9d1vWKn6TbPVHatRNernexx5sexoNB2rl0EpRf2SxUlIcxGbdMmjXP2SxQkt7J/jPhLTXJn/DSvk59V4jWq1sc6cQkdl/PYiFuO8paVbGXPnFki1f1PWvl0YJbIuis0dmyDl2hzL2S3bc4SOjWva33P5kiSkpBJ7McmjXBF/XwBclkW6aaIypsX8Zt0u+tzWGF+nA4CQIt47JfrUrod58gTm6VPgSidl8QL8WrlfaOikrNhVQIDb78mv1R2Yp0/hOnLIazFeSVWugY4+jc6o48z1yzAau9dxOrOO8zyPWH9su2bHhap1I3prxs2ck4cgIJc6zi/AXg/orRGo2jfa6y6flwF8s35vqsGt6D0b7UYEyPHcftWxV6lnvwf8o9yiICw7Fk3HaqXt3154EAmp6TnXceFBudZxly04FMndVUp5K9RMqmo99O719oszR3P/ns8czfV7Vi3uw1q/CEyXFyO9fn57qlJ1O2e7nAdtWIHR0L3R3NGwGebqxXZcmyIwajUEwChdHmvvdrtQwnlITkRVqOa+//AyqMAg9IFd3vsMVeqh92ywX0Qes/OgPP7+VPN7sTYsAVe6l6L8ew6tWkty/LkCjeHPGEdsh64AACAASURBVFVrYUVmy/MjluBsckWusWtrVq6xfzdGiHdHY+Zk2bEY9xwuNY85nILEdO/kcKrOTegtGZ1PThyEgMJ/nc9vWYmqc7O9fe2b0JuW28s3Lc9cTvgN6IO77f+POY0qHgZFitm/zcs9xVMvoaNPoYoFX/XncNSog3X6JDryNLhcpC9bhLPZbW5lzO2bIdX+3s0/dqJCw6/6fa/G0nWb6HhnK5RSNKhVjYuJScSc9fy9/bBoGf0etjvWGIZB8WJ2faKUIjHJzjUSkpIJC7n679FD+ar2eeNstF0nb12FqtvErYiq2wRr4zIA9PY1qGoZ10ynjtiNCGB39PTxBacT0tPQBzPqYNOFPnkYgkpcVZheO44B1bw9etf6zFGagN2AEGePZuHiOXtdEc9RRv/EssORdKxV3q4vSofY+VBiiluZAB8nTcrZdZmvw6BWWBDRCXaZIn4+meVS0k2QqfuFyBfSkHD1agNbsi/QWl8ETgBVgBZKqe0Z/3pv/HNQCTgXmxXDuTgICnErooJC0PFx9gvLsi+CChdFhZcBrXE88zbOV8dhtH3AbTvHM2/jfG82XEpGb/FeryVVpBg64XzWgsTzeToJqeJhUDwU43+DMR55FirU/OuN/qniJdCXp4UC9NlYVPG/edJXCp/uT5E+y3vDyHN82+BQdFy2mONjUCGhed6P89Y7ca1ekp+h5UgVL4E+m+2Yjs/Dd3ytFQtBnz+b+VJfiIdiIXkvk5NyVXEM/RDHc+9jfT8pf0cjgF1PnIvLiiu3uuNy/ZKt7gAgpCTOV8bhGPIuqkrt/I0tFzFJlyhZJOviMrywP9E5XITmZuBNVfn5wGlaT1/GE79u4tUW3o1bhYSi46IzX+u4P//tOdvdh2uzd6dO+TtiLiZRsljWyK7wYkWIvphzA23fL36kxYgpFPbzpW3dKgAcizvPlqNn+N/4b+nx+ffsOhmd47b5wREWhhmdNT2DFRONI8zzorjQg10Jnb+Iok8P5eJ7owBQAYUo0rMPiZM/81p8OVHFS6Djs9fJcajiea+Tr4miwZ71V9FgzzIX4nMtY7T9H46XPsVo0Bzr8uiEEqUgoDCOfm/gGDgK1ci9cTs/qCJB6IRsNyMSzkORoNw3yGkfVRtg9HwZ477enhfjXhCTlErJIgGZr8OL+BOdlPfG+9MJKZxKSKFJmb9xrrlKKjCH7zkv31V4WVTR/2PvvsOjqNoGDv9mdjeNFBJIoUPoJYBIk16kiCigYgEVGzasCAoiYgH0VewdOy+giBpRpCpSpIggvfeaBgnpZXfmfH9MSLKECIHdBN7vua+LS7NzJnkyOXv2zDynhMK+rZ4P7gyXy3uvWJwpSWihZ/wtQyuhkot+PmdCYDDm4f3oV1wFug6Vo9BqN0A746Gx3q47xtql3v0dgiqi0orWi5TS14ugUNjv/XpxubP6GkXvTc7R1+h1Ha71Zd/XKNaHK2X79kjrevyy+zjdpy3hwV/XMa5zE88FFxKGOlWkT5x68tz9+VMn4fTD/6CKVtsH7m3g8YPopx8416gHoeHF+tqEhqNVq4M6tOeifw2tcgRmYtF+ZwJ6eMl1waffQFxrVxZ5wYcKH80g4P2vsXfsdtHxnI+EE8lUiSi8z4uqXImEEyfdyqRlWANC3vn6G254aBSPvzSFEynW9X7kjlv4+ffldL1tOA+Mm8RzI+71eIxaxUpQpH5w6gTaGfVDCylSxjQhJ9Na7aFomZYdUEf3geuMpLl/BbRmbd1H+18Ib9Xj4DD0mHaoVQtL/tk16lnLN530zJJpiRnZRAUV7Q/5k5BR8j1fWk4eS/fH0b5mYX2fuXEffT5fwBvLt/Bs9/IdDCfE/wpJJHjfCqVUy/x/k8o7mLPSbWj1mmJ8/hqu10ahXdGhYLYCgPHuc7ieHgp2R7mPRP5Xum4tXzD7Xcxfv0Lvdas1Iu4SY+s1EHPjX5CcdO7Cl5qKldBrRlvxi7JxeA/GlCcx3hmD3mNQ/sygS0RaMq5xw3BNfhTjh0+x3f00+F1677kz/brnOAMbVeePYT34+No2PPP7JkwvzPa4EPbufbHVb1xsXeNL3af3DWDZuHvIcxn8tdeakm+YJqnZuXw7YjCjru3IyBkLUOV8nbNmzyRpYB/S3nuDwHut5T0C7x9B5syvUeUw6+P/E3PRLIxXR2Bu/BP9qvw9S3QbWrVojC//g/HFK+g9boDK3h89Xxpq31bMTydgfv0K6uBO9GvuKO+Qztv8vXH0jo7Epl/qQ/A09J6DMZf8cO6i4ryYK+ajkk/geOFD7EMextyzDUzDrYzerjvmmj/KKcLzoaF3vxHzD6kXnmbv1hdbvcY4f5x+7sKXmF/3xjGwYXX+uLMHH1/b+pLqwxWTH5e5JNZKmo+cgt6pnzULoejAIB8/bMNGY8750n0GXxlwXN0PvUET8mZ9XfBaxm39yHxoKNmTnsVvxGi0qtXLNKaSGIZBfNJJrmjSiB8/mkLLJg147RMr7l//WMGg3t1Z9s2nfDJpHM/8511MTw++8oSoGtZyR7POGLyi6+jDRmEun2vNeLiU5NdjfeDdGHP/W/IM+aCK2IY8hvHt+16ZRX8uLtNk1Ly13H5FPWpULBwINaRlXRbe25eRnZvxyV87yzyu/5c0Tf6V5t9lSPZIuHjbAbch/JqmBQM1gb1A77OddC6apt0P3A/wYeem3Ne4xr+fcOqENbrh9PmhleGUexZfnTqJFlbZylDrurU0QWYaKuWENd0yf0qx2vI3Ws26qJ0bC092OTE3rbGWONmx4UJ+pbPSWnRGi7GWUVEJh62RS6cPBlZ0nzZ3Dir9FMQfsjpmacmQkggVwyHBC5uypZxwG9mlVQq3RnKfB71+U/RGzbH1GoDm5w82ByonG9e3Uz0fZxEqOQmtyHIpWliE24j/82Hv2ANj7fKCPTS8SaWccBtJpYWd/zUuC1qHvujtegKgjuyzRu2fPhYSVrhUx2mpJ62RLP9W5t8kHkPl5UBUzcLNmD3h1EkoMtOjxLYjNNwarVKk7QDAlW799/Be1Ik4tIjqqMMXP5rqTDO3HGT2dmsN0piIisQXGY2SkJlD5DmW9yjqhx1HmdrfWlaqZVQoeYZBSnYelby0xJE6mYRWuXB0vFb57O89W8s2+NxyN9nPPFhuSzjMXLWZ2Wu3ARBTPYL41MIZCAmpGUQGl7z3jK/DTo8mdViyfT8dGtQkKiSQXs3qomkazWtEoWuQkplDWKDnk01GYiK2yKiCr/WISIzEkm/EchbNI2TsBFIBn2bN8evZh6DHRqEHBVmb3eXlkvXdTI/HWZRKOYEWVrRNrlw48+cSoLXvjd7WWh5KHc1v4/KXkNdCwgqn6J+Wluy2JMNZywBqw5/od4+B3763RsllpYMzF5y5qAM70arURJ2eIn+hsbfsgtbcWqpGxR9CCwot7FsEVbRmPJ6vnMIlsdSWVdbGy14wc+shZu+wknAx4SHEZ2QD1oaCCRk5RFYoffs0b28c4z05WvcMWquuaC2sZR1V3Fmuc/p5XmdfX6hcFX1I/ia7FYLRb3wY84cPvbKx7qX+3jutWJyh4aiUM/oNKScL+0e6bi1hkWF9PhvffMTp3ppj3Duo+MJ117Ua0WCzeWT085m0K7qgNbeWYFLxh9CCQ1HH8g8GhZ5/vfDJrxe3PWl9XSEY/YYHMX/8uNw2XL6UWX2NovcmJfQ1WrTB5+a7yB77UJn1NWZuPVSkDxfi3ocrZftm9eGsZfNaRoWS5zIvqg+ndeyL3s7ajF4d2YtWsXKR/nylc/fnK1aC07PxTo/ePv3f0/exudmYsz4oOMc27qPCh8W6Df2u0Zj/rEBt8cxALXUiET2iaL8zEjPpLHWhVTt8ht5L1pP3gdNZ5HyrrIo7hmvjOmz1GuE6fpH7NpzFjDnzmT3PWjo1pmE94hIL7/PiT5wksrL7KPqKwUH4+/nSu5M1u6Nvlw78sOB3AH5Y8DufTrb2T7yiSUNy8/JISU2nUqhnltiB/PuhossOVaxs9WOKlkk9aa0Ucfqeya+CtWw0QMVK2O57FuO/b1tLyhah3/oIJB1HLf35gmIri3qsVa+L7Y7Tn9NBaI1aYeZvEI2vP7b7xmHOn1mwXNKFmrlxH7O3WEt+xUSGEp9emFxLyMgmMvDs93wTFv9DrYqB3Nmq/lmP92tUg5d+99xzLCH+P5MZCRfvdyBA07Q7AfI3W34D+Aq44OGNSqmpSqnWSqnW50wiAOrgbrSIqlApEmx29NZdMTetcS+zeQ1ae+sDRmvVGbXTmjantq9Hq1YbHL7WqP4GMdZGbr5+EGzdxKLr6DFtIN6znQi1aQXm9Ncwp7+G2rsZrUn+GnxVakNeTqnWK1b7tkB1a0kN/CpAaASkeufBs7lvJ1pUdbTwKGtjpKt6YKxfee4TAecHE8l99GZyH7sV5/SPMFYs9HoSAcDcuxOtSnW0iCpgt2Pv1BOjlBvs2Tr1wvXnb16K0J3av9NadquydY319t0xN6wqk599PtSqBRhvjcZ4azRq21q01t2sAzXrW3uLnHmjnH7Ker2m1bnRWndDbTvHHhlhEVYnFCC0Mlp4NSiyzIFHfo9DZ7YdXazNlouW2fxXkbajE2pX/ibhgcGg5cdXOQotoupFPwAsyZCY2sTe0pnYWzrTs04kc3YdQynFpvgUgnzs51wnvKgqQf6sOWZ1qPclZ5DrMgnz9/FK3ADm7u3oVWugRVa13ntdemOscd8cVY9ugO+jY8l+aRQqtfzWYB7SoTmxT9xG7BO30bNpNHPW77Cu86F4gvx8CA+u4FY+MzevYN8El2GybOdB6kRYnxs9mkazdp/1mXEwKQWnYRJair9TaTi3b8FWoxa2qtXA7sC/dz9yl7uPtLXVqFXw/76duuI6bD0VPzn8DpKuv5qk668m85tpZHw51etJBMhv46KqFX6OtO+B+U/5L2l1mlqzCOPdMRjvjkFtW4fWKn+t7Rr1Sm7jcrOt44DWqgtq+zrrWKXCJI/WtLW1LwtYx2s3sto5hw9ajXrW3jgXG/vG5ZjTXsWc9qrVt2hapG+Rm126vRCKrudeN8Zj0/XPNKRZLWIHdyR2cEd61olgzu7j1nsv4RRBPo5StXEA+1MySMt10jLSe0sxqX+WYX45CfPLSag9G9Ga5e/NVbWOtfb2+V7n3BzMd0dhfjQO86NxcPyA15IIcOm/905TB3a594PadSvWDzI2rsLWyRqzpLfpUrgvgo8v+Fh1RmvaCkzDfZPm9j0w1yzxTtwblmN+/Yo1i2fPZrSm+Uu6lPb9l5eD+f7TmJ+Mx/xkvFUvJIlQInPPjvy+Rn4/v0svjLVn6WuMeIbsl0eXaV9jSLNaxN7cidibOxXvw/mWsg8X6Meao/l9uJQMco2L68OplQsw3hyF8eYo1Na1aFd2tQ6cb3/+yq6orVZ/Xm1bh9amu/V6m+6F/Xy/AGu5F0BrdzVq//aCmQf6LQ9DwlHU8l8u+Hc4k7FzG3q1mmhRVr/T0aMPrtVL3cro9RriP3Ic2c89iTpVpC4EBoHDmv2sBVfE1qyl2ybNnjR0wDX89Mkb/PTJG/Ts2JY5vy1DKcXG7bsJqhBARKVQt/KaptG9fWvWbrIGvKzesJm6Na3nJFUiwlm9wbo/2XfoKLl5TsIqnmU/lotxeA9aeFUIy79natW5WPJHbV1bMAhDa9kRtSf/nsm/ArYHnsf8eRoc2OF2jn7tUPALwPzxswsOrSzqsTH5YYxJD2FMegi1eQ3mj1OtJILNjn7305jrlqLOuIe8EENa1iX2jquJveNqetarypzth6z24vhJqz90lgFJ76zcRkauk7FnLF10MCW94P+X7Y+jVmjJA6KEEOdPK+9lBv4XaJpWA/gQaISVnJkHjAKuAkYppfqfUf4F4AmgYKinUqrEOYPOB645rz+S1qwNtpvvB92GuXIR5vxv0a+7A3VoN2rzX2B3YLtnNFqNuqjMdIzPXi3IhmvtumPrewsohbn1b8wfv7Cmpz3yIprdAZqGuXsz5nefnHONdr3h2bPA5/U79BiMVrsxuPIwF86ABGv0in7705jTX7PKdL4erVFr6yFmRhpq62rU6vnWsa6DrPOVifprEWrXP+f1c/P+Lv1ahHrLdjjufBR0HWPpPFw/Tcd+0z2YB3Zirl+FFt0I35EvW+siOvNQqcnkjr7L7XvYuvRFj26I86t3SvWzVd6FbUSot7oKn7sfA92Ga8lcXD9Mw3HrfZh7d2Ks+xO9biN8nnkF7XTMp5LJeeJ2ALTwKHwnfUzOA4MuaLqi7QIeIOrN22K7fQSapmMsn4/xy0xsN9yFOrALc8NqtDoNcTz+IlQIBKcTdSoZ57PWmpiOcW+jValhLbWTkYbz8ymoLetKF3NE6LkLnY510H1oDVuCMxdj1ocFswZsT76O8dZoq1D1uthuHQF2H9SuDZixnwOgNWuLPvBeq05nZ6KOH8T8dCJaqy7WckaGy3pvLp79r8kHlXlhuUutaWtsgx8AXcdctQhzwSz0/rejDu8pbDvuGmW1HVnpGJ//B07Eo13REVv/2wviM+ZOR21ZW6qfrTdqWOp4lVJMXLGNPw+fwM+uM6lHc5pFWA/LBs1aQewt1jrrU1bt5Nc9x0nMzCGigh83Nq7OI20bsDc5nQlLt5KVv1nfqKsa0bHm+a+Pnb3w/JKGRdlad8D3gZGg6zgX/YJz1pf43H4/xp4dGH+twG/S++i166KSrZtjlRRPzkujAPB/bSp6jVrg549KTyX37UkY/5x/R93//jtLHS/kX+c5y/hz1yH8fBxMGtyTZtWtEW6D3v6G2Cdu40R6Fg9/9Qt5LgNTKdrWrc6Y/p2x23TyXAbPff87O48n4bDZGH1tR9rXO3diHCBx4gfnLnQG345dCB45Fmw62T//SMYXnxD4wKM4d2wld/kfBD81Fp+2HawZdulppL02sdjmyoH3j0BlZZE5/ctS//zQxqVfkkdv0Q770IdBt1lt3M8zsN9wF+aB3ZgbVqHVaYjPEy9ZbVxeHio1hbyx9wDg89zbaFVqFrZxn72OWYo2zl6tdJts6gPuRmuQ38bN/hiOWQ8WbI+9ivHuGKtQtWhsgx8Chw9q10bMn63rqN/+JFrlqtZn86kTmLGfWRvyAVqX/uhXdrPauL+XoFbOLzEGrfKF7ZOj9bwZrU5jcDoxF0wvmKmo3zkGc9qr+XEMQGvc2tqbKSMVtWU1atU8q89RN8ZaFiYnC/O3WZBcimUHbLZSx6uUYuKfO/jzSBJ+dhuTusXQLMIaVTlo9kpiB1ujvaes3sWve4+TmJlLRAVfbmxUnUfaWH2w9//eQ55hMrJ9KdvY3NLvxXCa1utWtOim4MzDnPd1wQNf/e5xmF9aq3tq3W5Aa9IGgkIgPRW1eSXqz7lu30cfMhJzyffn/cDYuW13qWMtz/eeZjv/cVx687bYhjyMpusYKxZY/aBBw1AHdmNuXA0OB/b7x6DXrIfKTMf50SRrc+bKkTieetXaLDrlJM4vpkCRvb18XvsvzreeRcUdOa847E0anLtQCbSrb0Gr08Tq28//b2G9GDYW8+tXrDJdB6E1KfL+27wKtfJX92tx6xOYS38873ox4hnPLttz78wvaNCtE4GVK5GWkMgvEyaz6gvPLUM4pf/Fzx6yXXkVvsOftPoav83F+d1X+AwdjrFnJ8baFfi9/B56rboFM3xVUgI5E0df8M/z79m+1OdYfbjthe1b9+aF7dt3fxJ7szXLacrq0324/PatcQ0eaVPf6sMt20qW05pvM+qqhnSscf59OHXk3+u8fsN9aA2vsD7rvv2gsD8/cgrGm1a/zOrPP2J91u3cYH2mAQQEot/5FFrFcFRKEua0NyA7A2o1wHbbo6AUKv4I5ncfWvuZ1GmE/ZFJqOOHCjZ2N+fNRO0svH/N2nBhD/Ht7Trh+/AoNJtO3vw55M34HN+7HsLYvR3XqmUEvP4xep16BfsnmonxZD/3BLamLfB7cpx1r6dp5P0wE+f8n0r1s4O+Kv37QinFy+99xop1G/Dz9WXyqBHENLQGJgx84Cl++uQNAI4lJPLMf94lLSOTsJAQJo8eQdWIcPYeOsL4Nz8iKycHDY1Rw++gU+uW//Yj3RhTnj2vclqTK9FvuM+6Z1rzG2rRbPR+Q1CH91oP1e0O9DtGolWPhqx0jK9eh5MJaL1vRu91E+QPpAAwPpxgJf1e+hIVf6RghpC54lfU6nPsR+j496VuvVKPi37/Wx9BbV9nDVRt1QX91hEQX/jeMr59H44fdL92DS7wnm/JRv48mGC1F31a0yzKuj8f9N/fiL3jauLTs+jx6Xyiw4Jw5H++Dm1Zl5ti6jD5j42sPpyIXdcJ8fVhXI+W1K98/gkm2wOTL891Z8qZMftNechcCrbBIy+7eiaJhMvA+SYSLhUXk0goLxeSSChPF5pIKE8Xkkgob6VJJFwKLjSRUJ4uJJFQ3i4kkVCeLjSRUJ4uJJFQ3i4kkVCeSptIuBRcaCKhXF1AIqFcXUQiobxcSCKhPJUmkXCpuJhEQnnxdCLB2zyRSChrF5JIKG/nSiRcai40kVCeLiSRUN7ON5FwyThHIuFSdCGJhPImiYQLI4mE0rkcEwmXX09WCCGEEEIIIYQQQgghhBBlRjZbFkIIIYQQQgghhBBCCHHhNBmv/r9O/sJCCCGEEEIIIYQQQgghhCiRJBKEEEIIIYQQQgghhBBCCFEiSSQIIYQQQgghhBBCCCGEEKJEkkgQQgghhBBCCCGEEEIIIUSJJJEghBBCCCGEEEIIIYQQQogS2cs7ACGEEEIIIYQQQgghhBCXMV0r7wiEl8mMBCGEEEIIIYQQQgghhBBClEgSCUIIIYQQQgghhBBCCCGEKJEkEoQQQgghhBBCCCGEEEIIUSJJJAghhBBCCCGEEEIIIYQQokSSSBBCCCGEEEIIIYQQQgghRIns5R2AEEIIIYQQQgghhBBCiMuYJuPV/9fJX1gIIYQQQgghhBBCCCGEECWSRIIQQgghhBBCCCGEEEIIIUokiQQhhBBCCCGEEEIIIYQQQpRIEglCCCGEEEIIIYQQQgghhCiRbLYshBBCCCGEEEIIIYQQ4sJpWnlHILxMZiQIIYQQQgghhBBCCCGEEKJEkkgQQgghhBBCCCGEEEIIIUSJJJEghBBCCCGEEEIIIYQQQogSSSJBCCGEEEIIIYQQQgghhBAlks2WLwOnNh4u7xBKJcRllHcIpeZzZUx5h1BqKi2tvEMolaR5f5d3CKUWUa9WeYdQKlr7TuUdQqmlvvlZeYdQaoePZJR3CKUSc/xIeYdQavsvs2sMkH5wZ3mHUCq9Hqtd3iGUXvXa5R1BqWm1G5Z3CKVizplZ3iGUmsp1lncIpeLo36e8Qyg1rVnb8g6h1Kb0/6e8QyiVUXO3l3cIpfbBvbeXdwilFvflgvIOoVQOx2eWdwil1v6rN8s7hFJbM+vyai/0y3Az2/aLHinvEIQQHiKJBCEuQ5dbEkEIIYQQQgghhBBC/A/TZOGb/3XyFxZCCCGEEEIIIYQQQgghRIkkkSCEEEIIIYQQQgghhBBCiBJJIkEIIYQQQgghhBBCCCGEECWSRIIQQgghhBBCCCGEEEIIIUokiQQhhBBCCCGEEEIIIYQQQpTIXt4BCCGEEEIIIYQQQgghhLiM6Vp5RyC8TGYkCCGEEEIIIYQQQgghhBCiRJJIEEIIIYQQQgghhBBCCCFEiSSRIIQQQgghhBBCCCGEEEKIEkkiQQghhBBCCCGEEEIIIYQQJZJEghBCCCGEEEIIIYQQQgghSmQv7wCEEEIIIYQQQgghhBBCXMY0Ga/+v07+wkIIIYQQQgghhBBCCCGEKJEkEoQQQgghhBBCCCGEEEIIUSJJJAghhBBCCCGEEEIIIYQQokSSSBBCCCGEEEIIIYQQQgghRIkkkSCEEEIIIYQQQgghhBBCiBLZyzsAIYQQQgghhBBCCCGEEJcxTSvvCISXyYwEIYQQQgghhBBCCCGEEEKUSBIJQgghhBBCCCGEEEIIIYQokSQShBBCCCGEEEIIIYQQQghRItkj4SJommYAW4q8NBCoDcwB9gMBQALwmlJqbpHz7EAc8LlSaow3YnO070TgyDFouo3sn38ge9pnbsf9Bt2M/023gWmisrNIf+UFjAP70IJDCH71bRyNm5Hz609kTJnkjfAA0Jq1xn7bQ6DpGCsWYM6f5V7A7sB272j0WvVRmem4Pp4EJxPQ2/VA7zu48PtUr4PrpYdRR/ajt+mKfu1toOuozX9hfP+51+IH0HrchFanKbjyMOf/FxKPFi/T6Tq0Jm3BLwDz3acKX2/aDq3rQMhIBUBtWIbastorcer9bker3wKcuRixn0LcoeKFqtTGdsNwsPug9mzCnDfdOnfwCLTKUVYZvwDIycL4aDxa3abovW4Gmx0MF+bCb1EHdng8dt+rOhE86lnQdbJ++p7Mr93rcsCNtxAweAgYBio7i9RJE3Ad2Ff4u0dWIXz2L2RM/YDM6V96PL7TtD5D0OrHgDMPc87nEH+4eKEqtdCvvxccDtSeLaiFM63XI2ugX3sHOPwg9QTmj1MhLwd0G9p1d6FF1cqv06tQK+d5PHalFJN/XcnyXYfwd9iZfGMPmlQLL1bu/q/mkpSehcs0ubJWFcZf3xmbXpiP/vLPjbw+fzUrn72L0Ar+Ho/zNEe7jgQ8MQZsNnJ/+YGc/7q/z/1uvRPf625EGQbqVDKZk8djxscB4P/wkzg6dAEg58tPyPt9gdfiLCqoW1eqvfA8ms3GyW9mkfjhR2ctF3JNX+pM/Zhd115H9uYtaA4H1V+dTEDzGDAVxya8SMaaNWUSs1KKycu2sPxgAv52G5N7t6JJREW3MtlOF0/O+5sjqZnomkb3OlGM7NQUgK/+2cv32w5h1zRC/X2Y2KsV1YIDvBZvxe7diJ74AthsJMz4YR345AAAIABJREFUhmPvfeh2POKWwdR+fhy58fEAxH/xFQkzvgXAp1pV6r35Or5Vq4BSbB86jNwjxdtzT6vcoxuNJ78Mus7R6d9w4N33i5WJGnAd9Z5+CqUU6du2s/mBEQXHbIGBdF61lIR5C9kxZpzX4vRK+wYQUR29/53g4w9KYX72Ehguj8aulGLy/NUs33PEat8GdqVJ1crFyt3/3/lF2rcoxl/bEZuu8/rCv1i6+xAOm40aoUFMGtiVYH9fj8Z41phnzGH5ph34+fgwefgtNK1dvVi5O1/5kKRT6fj5OAD4bPRwKgUH8dWCZXy/7C9suo2w4ApMvPdmqlUO83ic+nXD0Bq2hLw8jO8/guMHixeqWgfb4AfB4YPatRHzl6/dDmudrsV27e24Xr4fstIhvCq2mx6AqnUwF81CrfjV43ED6C3a4rj7cdB1jN/n4pozw/144xY4hj2GViuavLdfxPxracExv2+Xog7vB0CdSCDvtbFeifFMSikmL/qb5fuO4++wMbl/B5pUqeRWJtvp4skflnPkVLrVJtevzsgerQA4lprBc3NXk5KVQ4ifL/8Z0JGo4ArejffrH1i+cZtVjx+6naZ1ahQrd+dL75B0Kq2wHo8dQaWQIGKXreH1GXOIDAsBYEjvLgzu0cFr8Z7J1qo9vsOfBF3HufhnnN//1+24Y8BtOHpfb/U10lLIfWcSKim+zOI7H3d8/gEx/fuSnpjEyzHtyzscIL9e/Ly8sM9589U0qRZRrNz9n88hKT0Tl6G4sk5Vxg/sWtDnnL5yE9+s3oyu6XRtXJtR/Tp6NWa/Dp2o+Mw40HUyY78n/YtP3Y5XGHwLgbcMLbgXSX7peVz79xHQrz9Bw+4tKOdo0JCEW2/AuWunV+OFy7NPVNT59Du07jegNe8A/gGYrz5cpvHB6Wv8Ilr+NT763gduxyNuGUyd558ruMZxX3xFwoxvCOnYgTovTSgoF1CvLjsfHEHy/IVlEnOdl18Am43EGd9w7H33ehGeXy/y4gpjTpxp1Yurjh0ka4dVd3OPHWfnsHu8Hq9Sislffsfyf7bi5+vD5BHDaBpds1i5Oye8QVJKkc+R8Y9RKSSYV776jrVbdwOQnZdHcmo6a79+y+txC/G/ThIJFydbKdWy6AuaptUGViil+ud/3RL4SdO0bKXU7/nFegG7gcGapo1VSimPRqXrBI0ex6lHh2MmJhD61SzyVvyBUeThau6iX8mJ/Q4An87dCXz8aVKfeACVl0fmJ+9hj66HvW59j4blRtOxD30E5xtjIOUE9vHvYW5cDXGFnQS9c1/IysD57N3obbthu+lejE8mY/61BPOvJda3qVYb+yMvoI7shwpB2AYPx/nSCMhIxXbPaLTGLVE7Nnrnd6jTBC00HPPzF6FKbfRet2LOmFKsmNq3BbVhGfq9E4of2/UP6vfZ3okvn1a/OVSKxHhnNFSvi+26uzCmvlisnO26YRhzvoCj+9DveAqtfnPUns2Ysws7RXqf21C5WVbsmRkYM96C9FMQUQ3bnaMxpjzh2eB1neBnxpM84l6MhAQqT/uO3OV/uCUKshfMJesHKwnl26U7QU8+Q8pj9xccDx75DLmrVng2rjPVi0GrFIn5/lioFo1+7Z2Yn08s/uv0uwNz7ldwbD/6kCdR9WJg7xb0/ndh/jYLDu1Ga9kJrcM1qKWxaE1ag82O+cnzYPdBf3giautfkHrSo+Ev332YQydOsWDkEDYfSeDFn5cz66Ebi5V789beBPr5oJTiiW8WsnDrPvo1t9qJuFMZrNpzlCoVAz0aWzG6TsCo50h/fDhmYjzBn1vtm3lwf0ER1+4d5NxzC+Tm4DvoFvwfforM50fh6NAFe4MmpA27CRw+BH/wJXmrV0BWptdjrj7xJfYNuR1nXDwN5v5M6uLF5O7Z616sQgXC772bzH82FLxWacitAOzq1Rd7pUpET/uK3f2vBw9/bJzN8oMJHDqVwYJhV7M5PoUXl2xi1q1di5W7u1U92tUIJ88wuefHlSw/mECX2pE0Dg9h9q1d8XfY+XbzAd74cxtv9mvjnWB1nehXJ7Lt5iHkHY+jxcK5JC9cTPbuPW7FTsz5hf3Pji92eoP33ubI2++RunwFekAAKNM7cZ4Rc5P/TObvm24l53gcVy2eR+KChWQWiTkgug7Rjz/Kmn4DcKWm4lPZ/aFh/bFPk7z6L+/G6aX2DU1HHzQc86fPIOEI+FcA0/B4+Mv3HOHQyVQWPHYzm48m8uLcP5l1/8Bi5d4c3LOwfZv1Gwu3HaBfTF061K3Gk1e3wW7TeWPRX3y6YiNP9W7n8TjdYt68k0PxSSx4bQyb9h3mpa9/YNaEx89a9vUHh9DsjIezjWtVY/YLT+Dv68M3v69iyqxfeWvEHR6NUWvYEipFYUx5EmrUwzbwXowPi7+3bAPvwfjxUziyF/2uZ9AatEDt3mQdDAlDqx+DSkkqPCErA+OXr9GbtPZovO7B6zjuHUnexCdRJ5PwfeVTjHUrUccOFhRRJxLI+3Ay9utuLX5+Xi65T3v/AcqZlu87zqHkdBY8NIDNx0/w4oK/mHV3v2Ll7m7fhHa1o8gzDO6Z8RvL9x6jS71qvP7begbERDOweV3WHIzjrT828J8BnbwX78btHIpPZMFbz7Np70Fe+nwWsyaOOmvZ10cMo1nd4g+HrrnqCsbffbPXYiyRruP74Ciyxz+GOpmI/5tf4vprBerIwYIi5v5dZI28C3JzsV9zAz53P0Lua8+Vfaz/YvVXM1j6/lTumvZJeYdSYPmuQ1afc/QdbD6cwIuxS5n1SPG/8ZtDrylsk6fPZ+HmvfRr2YC/9h1lyfb9xD4xBB+7jZMZWd4NWNcJffZ5Eh+4ByMhgciZs8leugTX/sJ7kax5c8mcbd2L+HXtTsVRYzjx8HCy5s0la541ltBRrwGV336/TJIIl2WfqKjz7Heo3RtRf/+O/sgrZRsfgK5T99WJbM2/xi0X/srJhYuKXeOkOb+w/1n3diF15So29uwDgL1iRa5c8yenli4rk5ijX8mvF3FxNF8wl+RFZ68XB85SL8ycHDZd3df7cRaxfMNWDsUlsuC9l9i05wAvfTqTWa+cfRzu64/fQ7O6tdxeG3tXYdsyff4f7DhwxKvxCvH/hSxt5GVKqY3AS8AjRV6+DXgHOAxc5emfaW8Sg3H0CObxo+BykrN4Hj5durvHlVn44Ezz9y98KJWTjWvTP6i8PE+H5UaLbohKPA4n4q3R7GuXoV/hPspIb3kV5qrFAJjrlqM3vqLY99Hbdcdcu9T6nuFVUInHCkf47/gH/crO3vsd6jVHbVtrfRF3EHz9oUJw8YJxByEzzWtxnIvWqBVq40rri6P7rFkFgSHuhQJDrPiPWp1itXElWqNWxb9Xs7aozfmjoeMPWUkEgMRjYPexZid4kKNpc4wjhzGOWXU5e9E8fLv2cCtTYl0GfLv2xDh2FNd+9we2nqY1vAK1aZX1xbH94Psv1/hY/ijGTavQGubX6UqRcMgaLaH2b0NrfKX1ugLNxxc0HRwOa6Rubo7H41+y4yADrmiIpmm0qBlFek4uSWnFH64H+vkA4DJNnC4TDa3g2H/mreSpvu3dXvMGe5MYzKOH89s3F3m/zcens3udcP3zd8F1cm3bhB4RCYCtdl2cG9eBYUBONsbe3fi0995DlNMCWrYk9+Ah8g4fQTmdpPz8CyG9excrV2XUUyR++DEqN7fgNd/69clYadUt18mTGGlpBLRo7vWYAZbsj2dA45pWvagSRnquk6RM9/rn77DTroY1e8XHptMkIoSEjGwA2tUIx99htQnNo0ILXveGoFYtyTlwkNxDh1FOJ0k//UxY3+LX+Gz8G9RHs9tIXW4lHM2sLMxsz7/PzlSx1RVkHThIdn7M8bFziLymj1uZ6ncM5fAXX+FKtT7X8k4UJhGDW8TgGxHOyT+8e/PptfatblNUwlEriQCQnemVBNmSnYcY0LK+VY9rRJKek0dSevEHT4Xtm8JpmGj5TVnHetWx26zucosaEcSfpW30eMz/bGNAx9ZomkbLerVIy8oh8dT59yPaNa6Hv6/1+7SoV4uE5FSPx6g1vhK1IT9Jf2Sv1bcIcp+xRFBFq14csT6D1YYVVoI8n37tnZjzZ7qfk5kGR/db7bSX6PUao+KPoRLjwHBhrPodWxv3zwKVFI86vK9Mkrbna8nuIwxoHm3V5WrhpOc4i9Vlf4eddrWtWaQ+NhtNosJIyC+z70RqwbF2taJYstu7I4yXrN/CgM5trXpcvw5pWdkkpni+LnqDXr8JZtxRVMJxcLlwLV+MvV0XtzLGln8g//Pa3LUVvVLxUfXlbe+KVWQlp5R3GG6WbNvPgCsbW/W4VhTp2efR5zSMgjb529VbuK/blfjYbQBUCvTeTEcAn2bNcRa5F8laMA//bj3dyhS9F9H9A87abgRccy1ZCzw/q/hsLsc+UVHn1e84fSyjfNqU4td4DpXO8xoXVem6a0lZ8keZXOPAK1qSfeAguYetmE/89DNhfUofc1la8vdmBnRtb32ONIgmLfPCP0d+/fNv+nX04iAFUUjX5V9p/l2GLs+oLx3+mqZtzP8X+y/l/gEaAWia5gdcDfwCfIOVVPAoPSISIyGu4GszMQFbeGSxcn433UbYD/Op8MhIMt6c7Okw/l3FyqjkIiPQUpLQKrqPtCS0SBnTtB4yBLo/qNfbdC1IJKjE42iR1a2HFrqOfkUHtNDiy7N4ihZYEZVepHOefgoCK5Z8wtm+R/2W6MPGWstBnHkD7inBYajU5IIvVVoyBIcVL5OW8u9lajWEjDRITij2I7QmbVBxhzy+JIUtIgIjoXCauJmYgC2ieF0OGDyE8J8WEvzoKNKmWHVZ8w8gcNh9ZHz6YbHynqYFhVrX7LT0ZAgKdS8UFApFr3F6MtrpMknHIf+hm9akTcG1VzvWofJy0Ue+hf74FNTqhZDj+YdYiWmZRIUUziSIDA4koYSHZcO/nEvnyV9RwddB72bRAPy+/QARwRVoVKX4ciGepoWfUSeSEtDDS7559+1/A8411s2Qa+8uHO07ga8fWkhF7K3aoEdGeT1mR1QkzuPHC752xsXhiHKvx/7NmuKoWoW0JX+4vZ6zfQchva4Gmw2fGtUJiInBUaWK12MGSMzIJiqwcImqyEC/f00GpOXmsXR/PO1rFG93f9x2iM61i793PcUnKoq8Itc473gcvlHF/7aV+l9Dyz8W0fCzj/Gpal1H/7rRuNLSaPTFVFr8Np/az48rk06db5UosovEnHM8Dt8z/rYV6kYTUDeadr/Oof2CX6jco5t1QNNo9NIEdj7/ktfj9Fb7plWKAhT60JHowyegdfDOKLfE9Eyigou2bxVKbt+mzaPza/+12rcmdYod//Gf3XSuX3xpFk9LSEklqlJhnyAqLKTEG+dnP5vFoPFv8uGcxZxtgusPy/6ic/NGng8yJAx1qjCxpVJL6lsU6X+knoSQ/L9/4yshLfnsy2R5W1g46mRiYVwnk9DCSvH55fDB95VP8Z34MXob7w1YOVNiepbbUkSRwQEkpP9Lm5yTx9I9R2mfnzxoFBnKbzut6/3briNk5jk5lZVb4vkXKyH5FFGVCtuKqLCKJJaQ1Hr2k+kMGvMqH/64wK0eL1q7iQFPv8Ljb31O3MmyeyCuVQpHnShaRxLRKpV8T2HvdR2u9d5ZnvR/TbE+Z0ggCWkZZy07/LM5dH75cyr4+tA7ph4AB0+cYv2B49zy/nfc+fEPbDlS/L7Ek2wRkRjxhffVRmI8tsji/ZnAW4ZQZe4iQp4cxan/FF8aOKDPNWQt8M5SbWe6HPtERZ1Xv6Oc+URVIfd4Yb3IPR6PT1Tx/nnl/tdwxR+LafTZJwXXuKjwgdeTFPuTV2M9zbfKGfUiLg6fKmepF9deQ4sl7vUCQPf1pfnCX4n5dQ5hffsUO88bin2OVKpIYvKps5Z99oOvGTRqIh9+/2ux/tCxpJMcTTxB+2Ze6A8J8f+QJBIuTrZSqmX+v0H/Uq7oEN3+wB9KqWzgB2Cgpmm2Yido2v2apq3TNG3dtETvdJxzvv+G5BuvIfP9twi4+0Gv/Axv0uo0QuXlFk5Fz8rANf097A+Owz7mTdSJhLKfilkKat9WzE8nYH79CurgTvRrPLvsgKfpMe0xz7aHQ3g19N43Y/7svf0HziVr9kySBvYh7b03CLzXqsuB948gc+bXqGwvT3n2APPnL9Bbd0e/73nw8StMyFSrA8rEfGsk5rtPo7XvAxW9lxw7H5/e3Z9lY4aRZxj8tf8Y2XlOpi77h0ev9tKSNRfBp09/7I2akjPDqpuutatwrl5B8CfTCXzxdVxbN6G8OOr1vGka1Z4fz/GXi994npz1HXnx8TT89ReqvTCBzPXrrcTqJcZlmoyav47bW0ZTI8R9ze2fdx5ha+Ip7mlVr5yisyQvWsy61h3Y2L03p5atoP571hqpms1GcLu2HHhxIpv69Me3Vk0ibh18ju9WNjS7jQrRdVg74EY23f8wTd+agj04mJr33EXSb0vIjYs79zcpZyW2b7qOVqM+5o9TMb98xZoFV6dxucb66Z39WDZqKHkug78OHHc79vGyDdh0jeual289Lur1B4by86RRTH/2YdbvOsCclevdjv+8cj1bDx7l3n7dyifAkjh80LsPxFzs3aUdvSXn4cHkjh1O3rsv4hj2KFpk1fIOqRiXaTIqdgW3t2lEjdAgAEb3vJK/Dydww2dz+ftwApFBAei6d2cRno/XHxnGz689y/QJT7B+5z7mrLBm+3ZrFcPv777AnNfG0iGmIWM//O85vlP5sHfri61eY5w/Ti/vUP7nfHrfAJaNu8dqk/daM2gM0yQ1O5dvRwxm1LUdGTljwVmTqGUtY9ZM4vr3JvXtNwge/pDbMZ+Y5pg5OTj37inh7LJ3OfaJLjfJixbzd+ur2NC9F6eWLafBe2+7HXdERFChUSNOeXlmaWmkLFrM+jYd2NQjv168W7ifwPrWV7G5z7XsfuhRar88Ad9atf7lO5Wt1x+7h5/ffJ7pL49i/Y69zFnuvuznvJXr6NO+FTabPP4UwhNkj4SycQVwehfa24BOmqYdzP+6EtADWFz0BKXUVGAqQFK7pqXqHZmJCdgii2SPIyIxkkoerZG7eB6BzxRfB8+rTp1ACyvyQDQ03G1kGwApVhmVcsIaCeFfwRoRn09v2w3zL/fRu2rTGlybrKV39C79PP7ATWvZxdrUCVDxh6wRE6cPBlWEjLNnyM+qyMhytWWVtfGyp+Js2xP9ym7W9z52AC0krCBOLTjMGgVYVFoyWnBhtr9YGV1Ha9Ia8+Pn3c8LDsV22+MYP06FlEQ8zUhMxFZkxLgeEYmRWHJdzlk0j5CxE0jFmors17MPQY+NQg8KsjYWz8sl67uZJZ5fGlrrHmitrGnu6vgBtOCwInUhDNLPSACmp0DRaxwUVjij5WQ85ow3rf8Pi7T2tQC0Zu1h71Zr3fCsdNSRPWhVa6NOJXGxZq7Zyuy/twMQUz2C+NTC0WAJaRlE/ssGjL4OOz0a12HJ9oNUDgzgWEoag96bXXDujR98z6yHbiQ8yPPTzVXSGXUiPBIzqXjds7duj/+w+0kbcRc4nQWv53w9lZyvpwJQ4YX/YB45y8bjHuaMT8BRtfBBk6NKFZzxhfVYDwzEr2ED6n1nbWZmDw8n+ovP2H/PfWRv3sLxF18uKFs/9gdy9hfuB+FpMzftZ/bWgwDERIYSX2QGQkJGDpGBZ99Ee8LvG6lVMZA7r3B/yLrqcCJT1+7i65s6FyxD4A158fH4FLnGPlWrFGxud5orpbB9TpjxDbWffxaA3Lg4MrduJ/eQNVI3ef5Cgq5sRSKzvBav9XPj8S8Ss1/VKsUSAznH40hdvwHlcpF9+AhZ+/YRULcOFdtcSWj7dtS8exi2ChXQfRwYmZnsftkzswvLon0jLQV1eDdkW22P2rMFLaoW6sAOLtbMv7Yx+x9rHeqYquHEpxVt3zLP3b41qsWSnYfoUNfa4Dh2w26W7T7MF8OuRdO88+B1xm8r+X6ZdePbrE4N4k8W1tf45FQiQosv63B6E9oK/n70v+oKtuw/zMBO1rT9Vdt288kvvzPt2YfwcXimu6+174XexlpKTh3dj1axEiq/CdVCSupbFM5S0EIqQWoyhEVCaDi2x/9jHQgOw/boZIwPniubZSqSk9CKLEOjVQpHJZ84//NTrLIqMQ5z+0a02g2sJXC8YOa6XczeYD18jKlayW1prYS0LCKDSmiTf11DrbAg7mxbmJyLCArg3Zu6AZCZ52TxzsME5y8f4ykzFi3n+yXWkiTNomsSX2QWQXzyKSLCzlaPrdk3Ffz96N/xSrbsO8TALu0IDSp8n97UowNTZs7xaKz/Rp1MQqtctI5EoE4W73vZWrTB5+a7yB77ELicxY4Ly8xVm5m9dhtwlj5nagaRwSXvr+XrsNOjSR2WbN9PhwY1iQoJpFezumiaRvMaUegapGTmEFZC/+RiGYkJ2IqMNLdFRGEklHwvkrXgV0LHue+LF9CnH1nzy2Y2AlyefaJS9zvKWV58nLUZdT7fqlHkxbv34Ype4/gZ31izO4oIH3AdJ+cvQLk8O6O/JLlxZ9SLKlUKNlU+7cx6UWv8swVf5+XXodzDh0lbtYbAmKbkHvL8fdSMBUv5/rc/AWhWr5b758jJU0SEFV/FITJ/1kIFfz/6d2rDlj0HGNi1cIP5+SvXMf6+s+x5JIS4IJKS8zJN05oD44EPNE0LBjoDNZVStZVStYEReHh5I9eOrdhq1ESvUg3sDvx69SNvufsDd1uNwg3NfDp2xSiDh2lFqQO70CKrQeUosNnR23ZFbXQf7W5uXI3eoRcAeusumDuLbJqsaehtuhQsa1Tg9PJAAYHo3a/DWDHfs3FvXI457VXMaa+i9m5Ga9rWOlClNuRml24vhKL7KdSNgZPxJZctbZxrf8f4aDzGR+NRO9ejtexoHaheF3Kyit+oZ6Ra8VevC4DWsiNq5z8Fh7XopnAizm3pCvwCsN3+FObi7+Cwd0bYOLdvwVajFraqVl32792P3GJ1uXA0hG+nrrgOW3X55PA7SLr+apKuv5rMb6aR8eVUjyURANS6JZhTX8Cc+gJq1wa0Fvl7fFSLhtx/ucbVrOWAtBYdULvyN9UNCMovpKF1vg61fqn1ZerJwhG6Dh+06nVRJzwzAnlI+2bEPnozsY/eTM/GdZizYRdKKTYdjifI15fwMx60ZeY6C9awdRkmy3Ydok54RRpEVeLPZ+/mt9G389vo24kMDuSHETd5JYkAVvumVz/dvtnxufoanH+eUScaNKLCMxNIf/oRVMoZCbFg6yGGrW4DbPUa4Fy7yitxFpW1aRO+tWvjU6M6msNB6PXXkba4MHdspqeztUUrtnfoxPYOncjasKEgiaD5+aH7WzfHgZ07oQxXsU2aPWlIi2hih/YgdmgPetatwpwdh616EZdMkK+d8Ap+xc55Z9V2MnKdjO0a4/b69sRTvLhkI+9f155KAb5eixkgfcMm/KNr41uzBprDQfjA60le6JafxxFR+FAorE9vsvOvY8aGTdhDgrFXsh54hnTqSNZu748aTN2wkYDoOvjnxxw1aACJCxa5lUmct4CwjtZWSo6wMALq1iX74GE2P/gIy1q2YVmrduya8BLHZn3vsSQClE37pvZtRYuobu2vo+lotRqiTnjmYeyQdk2JfehGYh+6kZ6NazNn4x6rHh9JIMjPp1j7lJlbuNa8yzBZtvsIdSpb/YkVe47w+cpNfDCkN/4+3ht/M/TqjsS+PJLYl0fSs1VT5qxch1KKjXsPEeTvR0RF96UdXYZBSrrVJjtdBks3bqd+dSvJuv3QMV748gc+eOJuKgUHFftZF0qtWYzx3liM98aitq9DuyJ/WZ8a9ay+RfoZgynST1n1ooaVYNSu6IzasR4SjmBMehDjtccwXnsM0pIx3nu2zNa6NvftRKtSHS28Ctjs2Dr0xFj35/mdXCEQ7A7r/4NC0Bs2Qx096LVYh7RuSOzw/sQO70/PBjWYs3m/VZePJRHk6zjrZ+07SzdYbXJv95mCKVk5mPkjtz9duZUbWtT1eLxDe3ch9tUxxL46hp6tmzNnxVqrHu85QFCAX7GEmMswSMlP9DldBkv/2Ub96taDrqLLeS1Zv4Xoat5fivA0c88O9Ko10CKrgN2OvUsvjLUr3Mro0Q3wHfEM2S+PRqVeWg85LzVDOjQn9onbiH3iNno2jWbO+h1WPT4Ub7XJxfqcee59zp0HqRNhPSjs0TSatfus2QkHk1JwGiahZ+mbeEreti04atbCVs26Fwno24/sZUvcythrFt6L+HXpVnAvAoCm4V+GyxrB5dknKnW/o5xZ17hOkWs84F+vcaU+vck6o/9eedAAkmLLLkGasdG9XlQeeD3Ji86vXthCQtB8rMSzPSyUoDatvVYvhvbtRuyU54id8hw927RkzrI11ufI7v3n9zmyfgv1a1YrOL7/WDypmZm0bBDtlXiF+P9IZiR4R2dN0zYAAUAi8JhS6ndN04YBS5RSRRcknQO8pmma7xmvXzjDIGPKJELenYqm6+T8EotxYB8B9z+Ca8c28lb8gd/gIfi0uQpcLsz0NNJfLMw2h8UuQqsQiOZw4NO1B6mP3Y9xYJ9HQitgmrhmvI/jycmg6xh/LkQdP4RtwJ2YB3ejNq3BXLEA+/BncEz+EpWZjuuTwockWoMYa/+EE+4P3223PYRew/qQMH6ZAQnHPBt3Ufu3oeo0Rb9vAjidmAsKpzTrd47BnPaqFWuXAWiNW4PDgf7Ay6gtq1Gr5qG16oZWN8YabZ6T5Xa+J6ndm9Dqt8D2xOvgzMOI/azgmO2hlzE+smajGHOnYRs0HBwO1J7NqD2bC8ppMe0xN7snerR2V0NYJHq3AdBtgPU9pr0GmemeC94wSHuAnOUfAAAgAElEQVR9ImHvfQY2neyff8S1fy+BDzyKc8dWcpf/QYWbh+DTtgO4nJjpaaS+MNZzP/987dmMqtcc/ZFXwZmH+fMXBYf0+61OMYA5bzr6gHvA7oPauwX2bgFAa9YO7fQoz53/oDZaDzTU30vQB9yD9uDLoGnW64me3xyxS8OaLN99iL5vzsTPYWfSDYWbsw967ztiH72ZbKeTEdPnk+cyMJWibXQ1bmnb1OOxnJNhkPXmZILe+gRsNnLnWu2b/30jcO3chvPPpQSMeMraI2OiNQraTIgj45lHwW4n+KNpAKjMDDJfHOPVDT2Lxnx0/PNET5+GZrORPOs7cnbvIeqpJ8navIW0xb+VeKqjcmWip38NpsIZH8+hx0d6P958XWpHsvxgAn2/Xoyf3c6kXoUb3g+asYTYoT2IT8/mk793Ex0ayI0zrYTO0BbR3NSsNlP+3EZWnsGT86xlKqoGBfDB9e3P+rMummGwf+x4mn47HWw2Er+ZRfau3dR8+ikyNm0meeFiqg6/m7DevVCGgevUKfY8ln8tTZMDL0yk2fffgqaRsWkLCdM9l3QsiTIMto8ZR+vZM9F0G0dnfkvGrt3UGzOa1I2bSFqwiBNLllK5e1c6rVyKMgx2vfAyzpQyfmDlpfaNnCzUmoXo940HlHVOkc8dT+lSvwbLdx+h7zuzrPZtYNeCY4M++oHYh2602reZC8kzTKt9q12FW1pbSdyJ81bhdBncO83aJLNF9QheuM676+J3bdGY5Zt30mf0q/j5Oph83y2FMY9/k9iXR5LncnHf61NxGSaGadKhaX0Gd7PeX69/O5es3Fye/MBaCqZKWEU+fPIej8aodm1Aa9gS26i3wZmL8f0nBcdsj76C8Z71WWzM+RLbTQ+Cwwe1eyNq18aSvqUlMATbI5PA1x9NKeh4DcZbo62EhKeYBs4v3sJn3BtWH/SPX1FHD2K/+V7MfTsx169Eq9sI31GToEIQtis7oG6+h9yn7kSvVhvH/aPAVKBruH6aUbjEppd1qVeN5fuO0ffDn6y63L9DwbFBn84ldnh/4tMy+WTlVqIrBXPjZ9aDy6GtG3LTFfVZeyiBt/7YgKZB6xqRjO/b1qvxdr2iKcs3bqfPEy9Z9fiB2wvjHfMqsa+OIc/p4r5XP8TlMqx6HNOQwT2t32v6gmUsWb8Fu00nJLACrzw41KvxujENcj+egv+L74Cu4/xtLubhA/gMHY6xZyfG2hX43P0o+AXgN8ZallAlJZAzcXTZxXge7p35BQ26dSKwciVeObKDXyZMZtUX5btEVJdGtVm+6xB9X5uGn4+DSYMLNy4e9PY3xD5xG9l5LkZ8Pbewz1m3Ore0swYr3NC6Cc99/zvXvzkDh83G5Juv9tpMMQAMg5RXXib8o8/RdJ2Mn37AtW8vwQ8/St62reQs+4PAW4fi1/4qlNO6rz45fkzB6b5XtsGIj7M2ay4rl2GfyM159ju0qwejNWtnLZf3xBTUhhWoZWX0YN4w2Dd2PM2+nQE2nYRvZpG1azc1nx5FxqZN+df4HsJ69wLDwHnqFHsee7LgdN8a1fGtWpXUVWW4t4phsP/Z8TT5ZjqazUZCfr2o8fRTZGzcTMqixVS5727C+vRCuax6sTf/viOgfj2iX3/VWu1B1zn23gdkl0GCqWurZizfsJU+j47Hz8eHySOGFRwbNGoisVOesz5HJr6Lyzj9OdKIwT07FZSbt/Jv+nVo4912Qoj/Z7RLYU1B8e9Ku7RReQtpVu3chS4xtsYNyjuEUlFppZj5cIlImvd3eYdQahHXX1XeIZROk+blHUGppb752bkLXWIOHzn7poCXqpixt5y70CVmzYtlfNPqAemXwn4bpdDrMe9sbuxVDZqUdwSlptVuWN4hlIo55/J77zn3leEDOg/w6V82m1R6ktbMu0kHb8ia8Py5C11CRs3dXt4hlNoHsZ6bCVdWjk94v7xDKJXD8ZnnLnSJaT+iV3mHUGqrP1h07kKXEP0yfCjeftG08g6h1PTm3S+/C30JMBZ8flk9vyxvtr73Xnb1TJY2EkIIIYQQQgghhBBCCCFEiSSRIP6PvfsOj6Ja3Dj+PbObkBB6S+i9F5EiinREEZGiYgHrVVB/WLBX7GDXe+3lWlABsdGkKVKCNEVpinQIkEYoCUkIJNk9vz8mpJCsmmuWgL6f58kDu3Nm82ZyMu2UEREREREREREREREJSA0JIiIiIiIiIiIiIiISkBoSREREREREREREREQkIDUkiIiIiIiIiIiIiIhIQN7SDiAiIiIiIiIiIiIipzCj/up/d/oNi4iIiIiIiIiIiIhIQGpIEBERERERERERERGRgNSQICIiIiIiIiIiIiIiAakhQUREREREREREREREAlJDgoiIiIiIiIiIiIiIBOQt7QAiIiIiIiIiIiIicgozprQTSJBpRIKIiIiIiIiIiIiIiASkhgQREREREREREREREQlIDQkiIiIiIiIiIiIiIhKQGhJERERERERERERERCQgNSSIiIiIiIiIiIiIiEhA3tIOICIiIiIiIiIiIiKnMEf91f/u9BsWEREREREREREREZGA1JAgIiIiIiIiIiIiIiIBqSFBREREREREREREREQCUkOCiIiIiIiIiIiIiIgEZKy1pZ1B/oDv5dtPqV+SPXCgtCMU25E1W0o7QrGFn9WutCMUT1ZWaScovvDw0k5QLL7N20o7QrF5GtUv7QjFV7FiaScollfueb+0IxTbmG0rSjtCsflnf1zaEYpl1UMflHaEYpucdKi0IxTb9XWrlHaEYtmTdrS0IxTb+dtWl3aEYskcc2VpRyi2IzH7SjtCsUUM6lnaEYqnQZPSTlBso4c+WNoRiu31CfeWdoTiCS9b2gmKLXvW7NKOUGze/v1LO0Lx+H2lnaDYPr75hdKOUGzXpiSZ0s5wKvLN/+iUun9Z2jznXH3K1TNvaQcQkeI75RoRRERERERERETk78uccvfFpZg0tZGIiIiIiIiIiIiIiASkhgQREREREREREREREQlIDQkiIiIiIiIiIiIiIhKQGhJERERERERERERERCQgNSSIiIiIiIiIiIiIiEhA3tIOICIiIiIiIiIiIiKnMKP+6n93+g2LiIiIiIiIiIiIiEhAakgQEREREREREREREZGA1JAgIiIiIiIiIiIiIiIBqSFBREREREREREREREQCUkOCiIiIiIiIiIiIiIgE5C3tACIiIiIiIiIiIiJyCjOmtBNIkGlEgoiIiIiIiIiIiIiIBKSGBBERERERERERERERCUgNCSIiIiIiIiIiIiIiEpAaEkREREREREREREREJCA1JIiIiIiIiIiIiIiISEDe0g4gIiIiIiIiIiIiIqcwo/7qf3f6DYuIiIiIiIiIiIiISEBqSBARERERERERERERkYDUkCAiIiIiIiIiIiIiIgH945+RYIyJBF4GzgQOApnAc9baqTnL/w0MA+paa/05710LPA/EAiHAb8DV1trDxhgDPARcA9icMrdYa3/NWXcnkJqz7GDOejEl/XNZaxm/9Deid+0j3OswvndbWlWvWKjcv1duZsbmOFKOZvHTDf1y349LzeDBhes5dDQLv7Xc0aU5PetXL+mYOAOuwjQ7DbKO4vvqHYgvYlPUaoDnolHgDcVuXot/9se5i0yXfjhdzgHrx25ai/+bT90FkXXxDLoOwsLBWnxvPQrZWSWe/xhPhzMpM/IOcByyvp1B1hcfF1geMvgKQs4dhPX5sIcOcvQ/47BJCUHL83tMv8swjdtCdib+mR9C4q7CZXoOwbQ9E8LK4n/htrz3zzgH074b+P1wOBX/1xPg0IGSz9h/OKZpO8jKxD/tPUgool7UrI8z+AYICcFuWYedO8l9P7IuzsBrwBsCfh/+WR9D3A53Wf3mOP2Hg+Nx8094tsSzA5i+wzCNWkNWFv45H0Hi7sJlug/CtO4CYeH4/31n3vttzsT0GgqpyQDY1Yux65aVfMbWnfBecRM4HnxL5uCf81nBAt4QPNffg1O/KTbtENlvj4f9iThdeuOcNyzvc+o0JPvJ0djd2/He8xymYhVsZiYA2S8/AKkpJZ4dTo16nJ+1lvHRvxC9M5Fwr4fx/U6nVY1KBcpkZGVzx5xV7E45jGMMvRtGcufZrQBYFbufp6N/YfO+Q7zQvyPnNa0V1LwA9fv1odfzT+N4HH758BN+fPE/BZaXr1Ob8959nTKVKmIcD98/8gQ7582nQr26XLN6OQe2bAUg4YdVfHfb3UHPa61l3KvvEL1iFWFhZXj6/jG0btakQJm0w4e58tb7cl8nJO1nUL9ePHjrqNz35i1eyu2PPs3nb71M2xZNg555/Herid4eT3iIh/Hnn0GrqCoFymRkZXPH9GXsTk5z60WTWtzZ8zQApq7fwQuL1lKjfDgAI05vwiWnNQ5q5oq9e1H/yccwHg97J04m/rU3Ciyvdtkw6j3yEJnx7jEu8f0PSZr0ae5yT7lytItewIG584h5cGxQswK0OK8vF738LMbjYcV7H/Hdcy8XWF65Xl2u+O/rlKtelcMHDvLx1aNIiY0DoFLdOlz+7qtUrlMbay3vDBzGgZjC+5qSVq5nD2o98ih4HA5OmULSm28VWa5C//7Uf+tNtl44iIz166k0eDDVbsyry2EtWrB14ECObPgtqHmr9elFy/FPYhyHPZ9MZvsrrxUqEzX4QpreexfWWlJ/3cDaG0cD0D9xN6kbNgKQERvLz1deG9Ssx1hrGffiKyxetoKwsDI888gDtG7RvFC5r+fN5+0PPwZjqFGtGs8/8TBVKrn77o+nfMnEL6bicRx6nn0W9952c4nnNG064R3+f+A4+KLn4J89pWABbwiekffmHavfHAf7E8HjxXPNGEzDZuD345v0BnbTuoKr3vYEVI8ie+wogsHTuStht9yDcRwyZ08jc/IHBZaHXnIlIQOGgi8bm3KQjOcfxybGA1D+21X4d7jHEP/eBDIeHhOUjMfLvX6KSXKP1X1+5/ppU6x7/TTy3Nz341IzeHDBOg5lZuH3wx1nNqNn/RrBzzwjmuhNMYSHeBl/6Tm0ql34e456bzpJqelk+ywdG9Zi7JCeeBy3T+EnS9cyefk6HOPQs2UD7h5wdlAz/56r3nudtgP7k7o3iSfbnllqOfKz1jL+mx+J3hbnHqsHdqVVzaoFymRkZXPHl9HsTk51j9VN63Bnnw4AxKWk8+DMpRw6kuleV/fuQM8mtYOfedYyojfvcuvFxb1oVavwtfyoCbNISj1Mtt/SsX4UYy/sllsvAD74fi3Pz13B0geupnJEeIlmNG074x3+f5ic/Ztv1qcFC3hD8I68D6eBu3/LevMp2Ofu37zXjsE0aA7WT/akN7Ab10JYOCEP5h3jTeXq+JbPxzfpzRLNfYy1lvFzlhO9Zbe7jYf0pFWtaoXKjfp4Ts429rvb+IKz8TgOz89byaLNMYR4PNStXJ5xQ3pSIbxMULIWyDx3Zb7M3WlVs4jMn8wjKS2nXtSLZOyAs/A4DnN/3cHri1ezPSmZKSMH0aaIn7ck1e7bhzOeHYfxeNjy0Sesf/mVAss7j3+Smt27AeApG054tWpMqu+e+3d84hHqnNsP4zjELVzMD/c9GNSsIv8k/+iGhJyb/tOACdba4Tnv1QcG5fzfAYYCu4GewMJ8q0+x1t6SU24ScBnwATAa6AqcltOwcC4wwxjT2lp7JGfd3tbafcaYx4GHgZEl/bNF79pHTMph5l7RnXV7U3h8yQamXHRWoXK9G9RgRJt69J+8pMD7b/+8jf6No7i8dT22Hkjjptmr6Fm/V4lmNE1Pg6qR+P59N9RpjOfC6/C981ihcp4Lr8U37T3Ysw3nqrsxTdtht6zDNGyJadkB3+sPgS8bIiq4KzgOnktuwvfl25CwC8LLucuDxXEoc9PdZIy9Dbt/L+EvfUD2yiXY3Ttzi/i3b+LwndfC0aN4z7+I0Otu4ehzDwcvUyCN22CqROJ/62Go1RCn/wj8E54uVMxuWYtdtRDn5icLvp+4G/v+eMjOxHToielzMXbauyWbsUk7N+Or90PtRjgXXIX/vacKFXMuuBr/zA8gdjvO8DuwTdrC1vU4/S7Fv3g6bF0PTdq5ryc8C2XC3c/65CX3pnHZ8iWb+5hGrTGVa+B/9zGo2QCn3+X4P3m+UDG7dR3250U4Ix8rvGzjT9j5nxV6v8QYB++I0WS99AAc3If34Vfxr1kB8Xk3yJxu50F6GlkPXofTuSeeS67H9/Z4/CsX4l/p7gpN7QZ4Rz+K3b09d73sd5/FxmwJXnY4NerxcaJj9hKTnM7cq/uyLuEgjy9cx5TLehQqd93pTehStxqZPj//mrqM6J2J9GgQSc3y4Yzv154Pft4W1JzHGMehz8vP8dXAi0mNjWP4kvlsmzWXAxs35Zbpcv9dbP5qOuve/YAqLZozZOqnvN/ydACSt+9k4pm9TkjWY6JXriJmTxzzJr7D2g2bePzlN/jszZcKlClXtizT3ns19/VFo26nX4+uua/TDh/m4y9ncFrLwjcUg5J5ezwxB1OZO3IA6+L38/i3PzHlqn6Fyl3XuTld6keS6fPxrymLiN4eT49GNQE4v0VdHu7X8YTkxXFo8PRTbLx0OJnx8bSe+zXJ33xLxuaCf/P7p88M2EhQ5767ObRi5YlIi3EcLnn1Rd48bwjJe2K5c+VCfpk5m8Tf8urx4Oef4sdPJvPjR5Np2rsHA8c/ysRrbgTgyg/f4punX2Tz/IWERkRg/f7gh3Ycaj3xBDuuvIrshAQaz5jOoW/nc3Tr1oLFIiKodt11HF69Ove95OnTSZ4+HYAyzZtT/523g96IgOPQ+tnx/HDJ5RyJi6frt7PZO3ceafnqRNlGDWl8+60sHzCY7JQUQqvl3YDzZRxhae/CdT7YopetYOfuPXzz5STW/rKBx559ic8/eLtAmezsbMa99AqzpnxElUqVeO6VN5n42VfcOupfrFj1M99Ff8+Mie8TGhrK/gMHSz6kcfBedStZL9wHB/bhfeQ1/GuWQ1y+Y3X3/u6x+v5rcc7ohefSG/C9OQ6n5wD3Zxg7CspXwnvnOLKfuAWsdT+6Yzfs0QxMyafOCeYQfvv9pN9zMzYpkYg3J5K9bDH+mLzzBd/WjWTePAKOHiFk0DDCRt1OxpP3uwszj5I+6vJgpQsoeleSe6we3oN1ick8Hv0rUy7uWqhc7/rV3eunSdEF3n/7p5zrpzb12XoglZtm/xT0hoToTTHE7Etm7j1XsW5XIo9PXcSUWy4tVO6lEedTLiwUay1jPpnDvHVbGdC+GSu37WHBhu1MHTOcUK+H/WmHg5r3jyz/cCKLXnuHaz96+48LnyDR2+KIOZDK3JsHsy5uH4/PXcmU6wYUKnfdma3o0iDKPVZPnE/01lh6NKnN29+vo3/L+lzesTlbk5K5acoCet5yUXAzb95NzP4U5t5xOev27OXxGd8z5aahhcq9dFm/vHox+Vvm/bKdAe3cG7HxyWks27qHmhXLlXxA4xBy1a1kPn8fHEgi5NHX8a9ehs2/f+txPhxOJfO+a3C69MI7bCTZbz6F08vd9lljR0L5SoTcNZ6sx0fDkQyyHrkpd/2Qx97Av+r7ks+eI3pLzja+7VJ3G3/9PVNGDSlU7qVhffO28ZT5zPt1BwPaNqZr49rccU5nvB6HF79ZybtL1nDXuV2ClhcgeuseYg6kMPfWS1gXm8Tjs5Yx5YZBRWTuTbkyOZk/X8C8DTsZ0KYRTWtU5pVL+/LY10uDmhPcc7guLz7DN0OGcTg2joELv2HX7LmkbNqcW+bHfOeaLUbdQNV2bQGofkZnanTpwoyuPQE4f97XRHXrSsL3Jd85T+Sf6J8+tVEfINNam9vVy1obY609dpehF/Ar8CZwRVEfYIzxAhG4owsA7sMdgXA45/O+AZYBI4pYfTkQlO4IC3YmMrhZLYwxnBZZidSjWSSlHylU7rTISlSPCCvyM9Iys3P+zaJGgDJ/hWnZAbsm5+C+ZxuEl4Vyx/X6KVcRyoS7ywG75ntMS/eGiTmjLzb667xGgvRD7vuN22ITd7uNCAAZabkXTsHgNG2FP34PNjEOsrPJjv4Wb5eCNwh963+Go0cB8G/6BadqcC8qAjHN2mPXL3dfxO1wR2xEFO5pRdwOSC+iJ3nMJsh2e5vb2O2Y8pVLPmOL0/N64Mduh7DfqRex7gWpXbcM08Lt9YMFU8btMWPCwrE5PftN2zOxv/2c1/P8cGqJZwcwTdphf825SRa/081/rJErv/iduXX2RDMNm2P3xsG+BPBl4/9hEU77gg2NTvuz8C/7FgD/T0twWrQv9DnOGb3x/7j4hGTO71Sox8dbsD2BwS3quPvkmlWK3CeHh3jpUtft2RPqcWhVvSKJaW6Z2hXK0rxaRRwTtNs+BUR16kDyth2k7IzBn5XFpi+m0njg+QXKWGsJLe82yJWpUJ70+NIZZXXMd0tXMvi8PhhjaN+6BYfS0tm7P/BIkx27YzlwMIVO7VrnvvfKe59wwxWXEBoaciIis2BrLINbN3DrRa1qpB7JIikto0CZ8BAvXepHAhDq8dAqsjKJqaVzo6fc6e05smMnR3ftwmZlcWDaDCqfd+4fr5ijbLu2hFSvTsri6D8uXALqn9GRfdu2s3/HTnxZWaye8hVtB11QoExky+ZsWeDm2bIwmraDBuS+73i9bJ7vNpxmpqeTlVHwdxMMZdufRmZMDFm7d2OzskiZOZMK5xa+0R55150kvfUW/pxzi+NVGnQhKTO/DnZcKnU4nfQdO8mIcetE/NTp1Dj/vAJl6l41gpj3PyQ7xd0fZ+7bH/Rcf+S76O8ZMuA8d3/RtjWHUtPYu29fgTIWdz+XkXEEay1p6enUqO7uoyd/OZ1R14wgNDQUgKpVgnA+1CjnWJ2U71h9esGb2k6HrviXfgOAf1U0Tk5jrqlVH/vbGrdQajIcTsc0aOa+LhOG59yL8c2cWOKZj/G0aIM/djc2Phays8laMA9v114FyvjWrIKj7jHOt2Edpnpk0PL8WQt27mVw89ruPjmqMqlHs4u+foqqXPT1k4G0rGPXT9nUKBvc3sUAC37dzuCOLd3M9aNIzThK0qH0QuXKhbl1NdvvJ8vn49jpxKfL13NDr46Eej0AVC1XNuiZf8/WJcs4HIyGub9gwebdDG7XyN3Gtau7x+rjjsPhIV66NIgCco7VUVXyjtXGkHbUHRmfdjSLGidgGy/4bSeD2zdzM9eNJPXIUZJS/3y9AHh2zjLuOu9MgnHqaRo1d6+dk+Ld/dvKRTinFxwJ4zm9K77vc/ZvP0bjtHL3b06t+vgL7N/SyN2/Hfv8yNqY8pWwm9eXfPgcCzbGMLh903zbOLNQvYD829iS5fPnbs+zm9TB63Fvx51WtwYJRfzdlnzmXQxu18TNXKdG4Mxljsuc837j6pVoWK2Ia64gqNaxA6nbd5KWcy2y46tp1Lvg/IDlG10ylO1ffuW+sBZPWBmc0FCcMmVwQkLI2Jt0QnIL4Bh9FefrFPRPb0hoDfz8O8uvACYDU4ELjDH57yxcZoxZgzt1URVgpjGmAhBhrd1+3Oesyvlex+uPOyKixO1NP0pUubzhh5HlwkhML/pisyi3dGrCzC1x9P54ITfN/omHurUs+ZAVKmNT8m7y2JQDUKHKcWWqYPNNOWIPHYAK7sWaqRqFadAcz6jH8PzrIajd0C1ULQqsxbn6Hjw3P4npVvCmQUkzVatj9+3Ny7h/L6Zq4GmgvP0uJPun5UHNFIgpVwl7KN/JeepBKF8p8Aq/91mndcNu/6WEkuX73PKVCtQLDh2E42/0lq9cYCoae+gAJufn8M+bhOl3Kc6YFzH9LsN+94VbqGoUhJfFueY+nJGPYtoV7mFWYvn/4jY2zU7HufYhd+qmYNzkrlwVezDfydTBfZjKxw1NrVwtr4zfDxnpUK5gg4jTuUfu6IRjPNfdhfeRN3AGDi/53DlOhXp8vL1pR4gqn3+fHJ7bSFCUQ0ezWLQjkTPrBnfIcCDlatUkNTY293VabBzlatUsUGbFuOdoefkwbtiyniFTp7Dwrvtzl1VsUI8RyxcybN4Manc9MVMTJCbtp2b1vO0VVb0qiUmBb1jOXhDN+b27Y3Ku6H7dvJX4pH30Oqtz0LMeszc1g6gKeTcUIsuHk5ga+Gb1oSOZLNoax5n18264fbN5D0M+mMuYaUuJPxTcBobQmlFkxsXlvs6MjyekZlShclUuOJ+2C76h6X/fIvRYvTGG+o+NZdfjTxYqHywVa9fi4O68epwcG0vF2gXrcdy6X2g39EIA2g29kLAKFShbpTI1mjUhIyWF6774hLtXLWHQs+7UPcHmjYwiKy4+93VWfAIhkQW3cVjr1oTUrEnqwoXHr56r4sCBJM+YEbScuVlqRnEkX504EhdPWM2C2ziicSMiGjfizFnTOWvuTKr16ZW7zAkrQ9f5czhr7kxqnN8/6HmPSdy7j6jIvE4dUTWqk7i3YENCiNfLY/fdxYXDr6X7gKFs27GTS3Iaonbu2s2qNesYdt2NXHnjrawLxsiPytWwB/Idqw8UcayuVDWvTL5jtd29Def0s8BxoFoUpkFTqOKem3qGXotv3he5HVyCwVSrgX9vYu5ruy8Rp3rgc+PQAUPI/iFfD9fQUCLenEjZ1ybgPbtX0HIeb2/6EaLK5TUQ/E/XT5vj6P3RAm6atYqHurcKRswC9h5KJypfj/HIiuVIPJRWZNmR/51O9yffI6JMKOe2dXud79yXzE874rjstc+4+q0vWb87sch1/8n2ph4mqkJE7uvICmX/+Fi9ZQ9n5jQs3NK9HTN/2UHvV77kpikLeOi84J9n7E1NJ6pi/swRJAY4Rxj54Sy6P/2RWy9aNwLgu992UqNCBC2Om8KppJjK1bAH8l0/H0zCVD7ue1Uuev/m37X9uP1bM8xxnfScLmlMqeUAACAASURBVL3x/bAoKNmP2ZuaTlSFfH97FSJIDNAYMPKj2XR/7mMiyoRwbquGhZZ/9fNmujetG7Ssx+xNPVy4XgTonDLyk3l0f2ESEaEhnNuqQdCzHa9srZqk57sWSY+No+xx5xfHRNStQ7n69UlY7M6ykfTjKhKWfM9lm37hsk2/EPvdQlI2B3nEvMg/yD+9IaEAY8zrxpi1xpgfjTGhwABgmrX2ELASyN/Faoq1tj0QBawH7inGt1pojIkFzsdtqDjpzNoaz5DmtVl4VW/eGtCR+xaswx/EXv3/E8cD4RH43nkM37zJeC67Nfd9U785/i/exPffJ3FadsQ0Cv6J/J/h7dUfT5OWZH31SWlH+UtM6y6YmvWxK74p7SiFmE698c+bjP/fd2HnTcYZdJ27wPFgajbAP+ll/J+8iOkxCKqUfu+349mt6/G/PRb/h+OwOzfiDLi6tCMVyTRsjs08io3Le35F9rvPkv3YTWQ/exdO0zY4Z51Tign/2Mlaj7P9fu6e+xNXntaQuvlO9k82zYddxK+fTOa/Tdsybehl9P/vm2AM6QmJ/Lf5aUw8qzeL7x/L+R++kzty4WQye0E0F/R1hzz7/X6eef2/3Hfz9aWcKrBsv5+7Zy7nyo5NqVvJvXDt3aQW828cyLTr+nNWg0genH1ipgz6PcnffMuazl1Z3+dcUhYvodEr7nzFkdddTfJ3C3KfnXCymH7PwzTu2Y27Vy2hcY+zSd4Ti/X5cbxeGnU7ixn3PMxLXXpRtVEDzri2qMGlJ5gx1Bz7MPHjxgUsEt6+PTYjg6ObNwcscyIZr4eyjRqycvDFrBn1f7R5+QW8FdyG6UXtz2DZOeez5sbRtBz3OGUb1C/ltHmysrOZ/OU0pn38HktmT6V508a8/aF7/ubz+UhJOcRn77/FvbfdzJgHHsWeROfJ/iVzsQeS8D76Bt7hN2O3bgC/H1O3MaZGLezPwZ+W4s8KOWcATrNWZE6ZkPte2hUDSL95BBnjHiRs9D2YWnVKMeGf514/1WHh1X1464JO3Pfd2pPq+undGwaz+KF/kZntY+XWPQD4/H5SMo7y6ehh3H3B2dw5ce5JVZdPNdl+P3dPXcKVnVtQt7J77jNrw06GtGvMwtsu5q3L+nDfjKUnV7249gIW33eVWy+2x5GRmcU7i1dza99OpR2tSP4lc7AH9hHy2Bt4h/8f/i2/gt9XoIzTpTf+FYEb20+0d68ewOK7R7jbeEdcgWVvLV6NxzFc2K5JgLVLx7tXnsfiuy4n0+dj5Y74P16hFDW8eCgx02fmTkFZvlFDKjZrxmetTuOzlu2o2aMbNc46OZ65IvJ38I9+RgLutEUXH3thrR1tjKmGO4LgPKASsD6nt2JZIAMoME7cWmuNMTOBW621zxhj0o0xjY4bldARyD//R28gGZgIPA7cyXGMMaOAUQBvDuvDyLPa/OEPM+mXGD7/zT0pbFu9IglpGYDbmzkx7QiREX9+eO2XG2N55wJ3CqH2UZXJzPZz8EgmVf/iA4DMGefgdOoF5EwpUrEKx06jTMUqhR94eugAJt8oBVOhittDHbcXut2wyl0Qux2s3533/tAB7M6NcNjtjePfshZqNoDtG/5S9kDs/iRMtbxeEKZqDez+wkPnPKd1JvTSa8l44OagPvj5eKZjL0z77m7WuJ2YCpVztznlK+c+1PdPa9ASc/YA/J+8UGLPnjCd+2A69MzJuMOtF8eeT1yhstvjPL/UgwVGr5gKVfKmMDrt7NwHL9sNP2KONSQcOoDNSIOsTMjKxO7aBFF14cBf73llTu+BaecOx7UJMe42PtaBorjb+EheTxa7bqn74OWSdnA/pnK+noGVq2EP7juuzD5M5eru+44D4RGQljcVk3NGL/zH9/RJzun9fTQD/8qFmIbNYfn8Eol8KtTj401au4PPf3UbWtpGViIhX++1xLQMIssVPWXcowvWUr9SBFefHtyH5v6etLh4ytfOm3mvXO1apMUVvIhoc82VfDXYffB2/A+r8IaVIbxaVTKS9uE74E4dtXf1WpK376By08Yk/rymxHNOnPo1n389D4C2LZoSn5RXjxOS9hNZveiedBu3bifb56NNc/eiLf1wBlt27OLqMQ8AsO/AQf7voSd5Y9zYEn/g8qSft/D5OvcUoW1UFRLy9RBMTM0gsnzRDzN8dN4q6lcuz9Wd8p7fUCnfMfmSdo14cdG6olYtMZnxCYTWynvQd2jNmmQd1zCQfTDvb3HvxMnUHes+3K5cx46U73IGkddejVM2Aic0BH96OrvHPRO0vCmxcVSum1ePK9WuTUpswXp8KD6BDy65EoDQiAhOu2gQGSkpJO+JJXbNevbv2AnA+ulfU79LZ1bycdDyAmQnJhCSb/RPSM0oshLztrFTrhxhzZrR6FP3oZTe6tWp/993iblhJBnr3SkcKl04kOQZM4Oa85gj8QmE5asTYbVqciS+4DY+EhdP8k+rsdnZZOzaTfq2bUQ0bkjK6rUcTXB/toyYXRxYuowKbdtweGcMwTDx86/4bJp7Gt+2VQsSEvN6wybsTSKyRsHe/r/l9F6sV8etQ+f37c07H7nTAUXWqE6/3j0wxtCudSscx+FgcgpVKv9vo+OKdHAfpkq+Y3WVIo7VyfsxVYo+Vvs+zXtIt/ehf2MT9+A0b4dp0IyQ5z92O+RUqIT3vhfIfvbukssN2H17cWrkddYw1SLxJxVxbtyhC6EjrufwHTdAVla+9d2yNj6W7DWr8DRpQXbcnhLNeMykX2L4fIN70tm2RkUS8o0WLPb10297eGege/M19/opI5OqJTzF0aRl6/j8h1/dzHVqkJCSNwIhMSWNyAqB57QvE+KlT6uGLNiwna7N6hFVsRz92jR263LdKBwDB9OPUKVcyT5Y91QzadUmPl/t7gPa1qpaYNqZxEOHAx+rZ62gfpXyXH1G3mj+L9ds5Z0r+gLQvk51MrN9HDx8hKol/PDiSSt+4fNV7sPr29auTkJK/szpRFYIPKVSmRAvfVo2YMFvO6lWLpzYg4cY+toXuete/MZXTLlpKNXLl8y0TPbgPkyVfNfPlatjDx43ivTg7+zfJr/JsaaDkIf+g03I2z+Yuo3A4wnKM9smrfyVz3/O2ca1qpOQb/SPu40DdwAqE+KlT4v6LNgYQ9fGbuPo1NWbWbx5F+9fc0HuCNkSz/zDBj7/eXNO5mqF68Xv/E7LeL30aV6PBZt20bVxcB8QfrzDcfFE5LsWiahdi8PxRTdoNLx4KCvuui/3db2BA0j6cRXZ6e7PGvvtd9Q4oxN7l68IbmiRf4h/+oiEBUCYMebmfO8d25NeAdxgrW1grW0ANAT6GWOK2tN2A449AfN54BVjTDiAMeacnOWT8q9grc0GxgBXG2OOm88HrLXvWGs7WWs7/ZlGBIDhbeozddjZTB12Nn0b1mD65jistaxNTKZ8aEjAZyEUpWa5MFbscQ/m2w6mcdTnp0rO/H5/hf1hPr43Hsb3xsPY337CtO/mLqjTGI4chrTj5jNPS4GjGe5ywLTv5s5zD+76DXNO0qpGgccLh1PdBzFH1oWQUHAcTIMWkBRLsPi3/IZTqy4msiZ4vXh79MP3Q8GHVzuNmlFm9H1kPHkPNuXEzvtpf1qE/70n8b/3JHbzGkzbnLnwazV0t21Rc8gHElkX5/wr8X/+eok+Y8D+uAD/24/if/tR7Maf86Ydqt3IzRioXtR2h9+adl2xG3MeOJmaDPVzbrQ1bAn73YYCu2k1pm5TMA54QzG1G7nzcpZE/tXR+Cc8jX/C0279a53zoKyaDXK2cTGehZD/eQpN2sH+ku+9a3duwkTWhmqR4PHinNELu7bgiZV/7Qqcru683E7H7vg3rs1baAxOpx4FGxIcJ2/qI48Hp10XbOzOkst8CtTj4w0/rSFTh/di6vBe9G1Uk+kb97j75PgDlC9T9D75P8t/I+1oNg/0+HP7/WBJ+Gk1lZs0okL9ejghITS/ZCjbZ80pUObQnj3U6+02AFZp3gxPWBgZSfsIr1Y1dwqYig3qU7lJY5JzbsaWtBFDBzLtvVeZ9t6r9O12FtPnLcBay5pfN1I+oiw1qhY6vAIw67u80QgA5ctFsGLGJBZMeZ8FU97ntFbNg9KIADC8Q1OmXnseU689j75NazP9151uvYjb59aLIm7e/GfJetKOZvFA39MLvJ//eQoLt8bRqGpwR36krVlLWKMGlKlXFxMSQpUhgzj4zbcFyoTUyLsxUPm8czmyxX1I8LbRt7Gm05ms6dyVXU88RdLnXwa1EQFg148/U61JY6o0qI8nJITTL7uIX2bOLlAmomqV3Iv3c+6/k5UffJK7bnilikTkPBi4ae8eJG7YGNS8AIfXrqNMgwaE1KmDCQmh4oUXcujbvAZZf2oqv3XoyKZu3dnUrTuHV68u0IiAMVS84AKSZ56YhoSU1WuIaNSQ8Jw6UXPoYPbOLTjKK3H2XKqc7e6zQ6pUIaJxYw7v3IW3YkWcnGcMhFSpQuUunUnbFLxRFCOGXcT0ie8zfeL7nNOzO9Nmz3P3F+t/pXy5CGpUK9iQEFm9Ott27ORATuPY0h9W0ThnxMQ5Pbuz8if3vGNHzG6ysrKoXKlk5422OzZhatR2p+w8dqxeXXBqTP/q5Thnu88pcTr1yJs3PLQMhLrHGNOqA/h8ELcL/8KvybrzcrLuuYqs8XdgE/aUeCMCgG/jrzi162GiaoHXS0if88hevqhAGadJc8LvfIiMh+/AJuc7Ny5XHkLc2WRNhUp42rQv8JDmkja8TX2mXtqNqZd2o2/DSKZvinX3yQkHKV/G+9evn8L/+vVTocxd2zF1zBVMHXMFfVs3YvpPv7mZYxIoHxZK9eNuZqYfzcx9bkK2z8/ijTtpWMPtbNandSN+2ObehN2ZdJAsn5/KQXg23qlmeKfmTB05kKkjB9K3WV2mr9vubuPYJPdYXcTN1/8sWu0eq88tOHVRzQoRrNjhns9v25fC0WwfVcqW/DYefmYbpt5yCVNvuYS+rRowfc1mN/PuRMqXCaV6+ePrRVbucxOyfX4Wb4qhYfVKNIuqyvcPXMP8u0cw/+4RRFaI4Mv/u6jEGhEgZ/8WmW//1qUX/tUFH4TrW7MMT7ec/VvnAPu31h3A7yv4kOYz++BfsaDEsuY3vEtrpt58MVNvvpi+LRswfc2WvG0cFlpoG7nb2O0wku3zs3jzbhpWcxucl2zZzXtL1/L68HMJDw1e/97hZ7Ri6k1DmHrTEPq2qM/0dVvdzHv25tSL4zJn5svs97N4y54T9lyE/Pb9vJoKjRtSLudapOFFQ9g9e26hchWbNqFMxYok/fBj7nvpe2KJ6tYV4/FgvF4iu3UlOYjnFyL/NP/oEQk5owmGAC8bY+4FkoB04FHgZeCmfGXTjTHfAxfmvHWZMaYbbmPMHuDanPdfxR0GsN4Y4wMSgMHW2kITKVpr440xk4HRQIlOGtyjXnWid+2j/+RowrwexvVqm7ts6OdLmTrM7T39wvJNzNoax5FsH70/XsjFLepwS+em3HtWCx5d/AsfrXd7hY3v3bbEW8nt5rWYZu3x3PECZGXi++rd3GWe/3sK3xsPA+CbOQHPRaMgJAS7eR12i3tD0/68GDN0JJ5bnnYf0vTlO+7KRw7jXzYHz02Pg3W/j928ttD3LzF+H0ffeoHwx/8DjkPW/K/x79pB6IiR+LZsxPfDEkKvuxXCyhJ2vzsVgU1K5MhTxZkNq4RsW49t0gbn5nGQlYn/6w9zFznXj8X/nlsNTe+LMa3PgJBQnFuexa79HrtkJk6fSyC0DM5FN7orpRzA/8XrJZtxyzps03Y4tz7rZpz+Xl7GGx/H//ajAPhnfYwz5HrwhmK3roetbk9c/8wPcfoPd29sZ2fl/Yz74rHb1uPc/ARYi/05OjgNTNt/wTZqjTPyccjOxD8nr/eqc80D+Cc8DYDpORTTqpO7jW8eh123DLt0FqZjb0yTtu5coEcO45/9Ucln9PvJnvQ6IWPGg+PgW/oNNi4Gz+Cr8e/cjF27Av+SuXhvuJeQ8R9g01PJfnt87uqmWVt3ztJ9+Ro5vCF47xgPHg8YD/a3n/FHzynim5eAU6EeH6dHgxpE70yk/4TvCAvxMO6cvBvCQyctYurwXiSkZvD2j1toVLkcF092B7GNaNeQS9rUZ33iQW77+kcOHc1i4Y4EXlu5iZlX9g5aXuvzseDO+7hoxucYj4dfP5rE/t82cdbY+0n8eQ3bZ80l+v5H6Pf6y3S45SYslnmjRgNQ++yudB17P77sLKzfz3e33cXRg8UcMfI/6HlmJ6JXruLcESMJK1OG8feNyV025Ppbmfbeq7mv5yxawjvPPBb0TH+kR6OaRG+Pp/+7swjzehl3/hm5y4Z+OI+p155HQuph3l6+gUZVynPxBPcG7YjTm3DJaY35+KctLNwai9cxVAwrw/gBXYIb2Odj54NjaT75E4zHQ9LkKWRs2kzte+8ifc06kr/5lqgbrqPSef2w2T58yclsu73QoMsTxu/z8eVtd3PTnK9wPB5WfvAJCRs2cv5jD7Lrp9X8OnMOTXp1Z+A4d1qabUuW8cUtdwFg/X6m3zuW0d/OAGPY8/Malv93wh98xxLg8xH3yKM0/Ogj8Dgc/Oxzjm7ZQo077iBj/XpS5//+KK+ILmeQFR9P1u7dv1uupFifjw33P0TnzydhHA97Jn1K2qbNNL3/HlLWrGXv3G/Yt2AR1Xr3pPvSRVifj02PPUnWwYNU6tyJNi8+i/X7MY7D9v+8TtoJmsO459lnsnjZcvpddAXhYWUYP/aB3GWDR/yL6RPfJ7J6NUbfcB0jbrwFr9dL7agonn7ELXfxoAE8+OQzDLz8GkJCvDzz6IMl35vU7yd74muE3PW0e6xeMs89Vg+5xj1Wr1mOP3oO3lH3E/LMh+6x+q2cKa/KV3LXsxZ7cB/Z7z5bstn+MLuPI68+S9ln38B4HDLnTMe/cztlrr0Z3+YNZC9bTNiNd0BYWcIffc5dZW8CGQ+PwVO/EWF3PATWgjFkTv4gqA0J+fWoV53omCT6T1rsXj/1bpe7bOhn3zP1UrcD1AvLNzJrS87100cLuLhlXff6qWvO9dO6nQCM71Py10+FMrdoQPSmGPo/9xFhoSGMG9Y3L/O/JzN1zBVkZGYzesLXZGb78FvLGY3rcFkX99rwok6tePiL7xj00kRCPB7GX3pO0DP/nusnvU+zXt0oV60qT+/+jZmPjmfZ+8EdCfZHejSpTfS2WPq/MY2wEC/jBuY9Z23ou18zdeRAEg6l8/bSX2hUtQIX/3cWACM6NeeS05ty7zkdeXT2Cj76wX2WyvgLuwa/XjSrR/TmXfR/6VPCQr2Mu6hXXubXvmDqLZeQkZXF6E/m5dWLRrW4rPMJmg7Y7yf7k1cJufsZjOPgWzLX3b8NvQa7YzP+nP2bM+p+Qp+dgE1PJevNnP1bhUqE3PWMOxvBwf1kvVOwU4Knc0+yXn4w6D9Cj6Z1id68m/7/meLWiyF5HVSGvvklU2++2N3Gk+aR6fO727hBTS7r5HaEfGr2MrKyfVz/kdvB4bQ6NXjswu5BzlyH6C276f/qF27mwXnfb+hb05h60xB3f/Hp/Lx60aAml3VqAcD833Yybs4KDhw+ws2TvqFFVFXevfK8QN/uL7E+HyvufoB+X32G8Ths/WQyyRs30f7B+9i/eg2757gjkhtePJQdXxV87GjMtBnU7NGNwcujwVpi5y9gz9yTaypbkVOZ0RyIJz/fy7efUr8ke+DAHxc6yRxZc2o9fCf8rHZ/XOhkk3XipnMqMeGn1rBu3+Ztf1zoJONpdPLMh/2nVTzxvXL+ilfueb+0IxTbmG2n3tBj/+zSvdFRXKse+qC0IxTb5KRijO46SVxft+hRMSerPWnBewBvsJy/bXVpRyiWzDFXlnaEYjsSs++PC51kIgb1/ONCJ5MGJ9f86H/G6KHBv1lb0l6fcG9pRyie8JIbBXCiZM+a/ceFTjLe/v1LO0LxHPdMiFPBxze/UNoRiu3alKTSa1U9hfmWfH5K3b8sbZ7uw065evZPn9pIRERERERERERERER+hxoSREREREREREREREQkIDUkiIiIiIiIiIiIiIhIQGpIEBERERERERERERGRgNSQICIiIiIiIiIiIiIiAXlLO4CIiIiIiIiIiIiInMKMKe0EEmQakSAiIiIiIiIiIiIiIgGpIUFERERERERERERERAJSQ4KIiIiIiIiIiIiIiASkhgQREREREREREREREQlIDQkiIiIiIiIiIiIiIhKQt7QDiIiIiIiIiIiIiMgpzKi/+t+dfsMiIiIiIiIiIiIiIhKQGhJERERERERERERERCQgNSSIiIiIiIiIiIiIiEhAakgQERERERERERERETkFGGOqGGO+NcZsyfm3coByPmPMmpyvGfneb2iMWWmM2WqMmWKMCf0z31cNCSIiIiIiIiIiIiLyPzPG6KsYX3/R/cB31tqmwHc5r4uSYa1tn/M1KN/7zwIvW2ubAAeB6//MN1VDgoiIiIiIiIiIiIjIqWEwMCHn/xOAIX92ReO2YvQBviju+mpIEBERERERERERERE5QYwxo4wxq/J9jSrG6pHW2vic/ycAkQHKheV89gpjzLHGgqpAsrU2O+f1HqD2n/mm3mIEFBERERERERERERGRv8Ba+w7wTqDlxpj5QFQRix467nOsMcYG+Jj61tpYY0wjYIExZj2Q8r9mVkOCiIiIiIiIiIiIiMhJwlp7TqBlxphEY0xNa228MaYmsDfAZ8Tm/LvdGLMIOB34EqhkjPHmjEqoA8T+mUya2khERERERERERERE5NQwA7gm5//XANOPL2CMqWyMKZPz/2rA2cAGa60FFgKX/N76RTHuunIyO9Tn9FPqlxRaq1JpRyi2kK5nlHaEYrO/bSjtCMWSsmpHaUcotoqdGpZ2hGIxTZqUdoRiW/jUZ6Udodi6dKhZ2hGKpWzvTqUdodjSZi8r7QjFduDAkdKOUCx1ezUr7QjFZtq0Ke0IxRdVp7QTFIv9flFpRyg2377k0o5QLN6rrvnjQiebpMTSTlBs9sflpR2hWOLn/1raEYqt1l1XlnaEYht9zXOlHaFYxp1Zr7QjFFvFs06984tN09aUdoRiSTucVdoRiq3ThCdKO0Kxec67zpR2hlORf/n0U+r+ZWlzzhr8P9czY0xV4DOgHhADXGqtPWCM6QTcZK29wRjTFXgb8OMOJvi3tfa9nPUbAZ8CVYDVwJXW2qN/9H01tZHIKehUa0QQERERERERERGRv85aux/oW8T7q4Abcv6/DGgbYP3tQLF7VWtqIxERERERERERERERCUgNCSIiIiIiIiIiIiIiEpAaEkREREREREREREREJCA1JIiIiIiIiIiIiIiISEB62LKIiIiIiIiIiIiI/O+M+qv/3ek3LCIiIiIiIiIiIiIiAakhQUREREREREREREREAlJDgoiIiIiIiIiIiIiIBKSGBBERERERERERERERCUgNCSIiIiIiIiIiIiIiEpC3tAOIiIiIiIiIiIiIyCnMMaWdQIJMIxJERERERERERERERCQgNSSIiIiIiIiIiIiIiEhAakgQEREREREREREREZGA1JAgIiIiIiIiIiIiIiIBqSFBREREREREREREREQC8pZ2ABERERERERERERE5hRn1V/+7029YREREREREREREREQCUkOCiIiIiIiIiIiIiIgEpIYEEREREREREREREREJSA0JIiIiIiIiIiIiIiISkB62/Dfl6dyVsFvuwTgOmbOnkTn5gwLLQy+5kpABQ8GXjU05SMbzj2MT4wEo/+0q/Du2AuDfm0DGw2NOSGanXWe8V90Cjgffoln4Zk4usNw0b0fIVaMxdRuT9doT+H+Mdt+v15iQ6+6A8Ajw+8iePhH/yoVBz2utZfzi9UTvTCTc62H8uR1oVaNSgTIZWdncMftHdqek4xhD74ZR3NmtNQAf/ryVL36NwWsMlcNDeapfB2pXKBvUzKZlB5yLR4Lj4F/+LfbbLwoW8HpxrroTU7cxpKfi++A5OLAX6jfFc/ktOR9i8M+ehF23IqhZixJy5tlEjLkfPB6OzPiSIx+/V2B5maGXEnbx5eDzYzMOk/7MY/h2bg96rv91u5rm7XEGXQNeL2Rn45/+AXbzOvczO3TDOfdScDzYX37AP2NC0PJbaxn//QaiY5Lcuty3Ha2qVyxU7t8rNjFjUywpR7P4adR5ue/Hpmbw8IJ1HMzIpGJYCM+ecxpR5cKDlrdqn140G/cExuMQ+8lkYl55vVCZGoMvpNE9d4K1pP26gV9uuoWwOrVpN+E9jONgvF52//cDYid8HLSc+Xk6nUXYTXeDxyFrzjQyPyv4+wy5aAQh/QeDz4dNOciRl57A7k3A1Igi/JEXwDHg9ZI1/TOyZn15QjIDmHMuxTRuA1mZ+GdNgMTdhcv0GIxp0wXCyuJ/qYjjRfPT8Qy9Ed+H4yFhV9Cyes84m7Db7gPHIWvWVxyd+H6B5aGXXkXowIvcbZx8kMPPPIJNjMdzemfCb7knt5xTryGHH7+X7O+DfxwJP7s7Ve5/COPxkPrl56S8906B5eUvvZwKl4/A+v3Yw4fZ99jDZG3fBt4Qqj36BGVat8Fay4FnnuLIjz8ELadp2QHnklHuPm7ZN4H3cfWauPu495/NOXY0w3PFLcc+JefYsdx91WsQTtfzwIB/6TzsohlByW6tZfyidUTvSCQ8xMP4czvSKrKIY/WsH9idnHOsbhTFnd3bAPDp2h1MXrsdxzFEhHh47JzTaVK1QlCyFsg8I5roTTGEh3gZf+k5tKpdo1C5Ue9NJyk1nWyfpWPDWowd0hOP4/YR+mTpWiYvX4djHHq2bMDdA84u8ZzO4H9hWp4OmZn4prwGsTsKF6rdCM/loyEkFPvbavzT3b9L0+4sx5kjdQAAIABJREFU9xhXoza+Vx6APdtyPtSDc+nNmNoNwfHg/2kxdsHUEslr2nbGO/z/MI6DL3oOvlmfFizgDcE78j6cBk2xaYfIevMp2JcIHi/ea8dgGjQH6yd70hvYjWsBCLn/RahYBbKOApD1/P2QmlwieY9nrWX8598Q/etWwkNCGH/1hbSqVzNg+dFvTmH3vmRmjL2xwPsfzF/B81/NZ+lzd1K5XHDPO621jJ+znOgtu926PKQnrWpVK1Ru1MdzSEo9TLbfT8f6UYy94Gw8jsPz81ayaHMMIR4PdSuXZ9yQnlQIL1Mi2Zwh/8K07ODW309fLbr+1mnknv+GhGJ/+xn/tJzjSng5nKvvxFSugT24F/9HL0JGOoRH4Fw2GlM1CrIz8U15HRJ2Q6WqOFfchinnnlv5V3yLXTKrRH6OsK7dqHTfQ+A4pE/9gtT33y2wPGLYZZS7bIR77Ms4zIEnHiF7+zbKDhhI+Wuuzy0X0qw5iZdfRNamjSWSKxBrLeO/+ZHobXHuPnlgV1rVrFqgTEZWNnd8Gc3u5FR3n9y0Dnf26QBAXEo6D85cyqEjmfit5Y7eHejZpHZQM/+eq957nbYD+5O6N4kn255Zajl+z8l2/eQMvT7nb+8ovsmvQWwR36tOIzxX3Jr3tzc1J3PZcjhX3YWpUh17IAn/Ry+4f3s1art/q3Uauecai6bnfpTn4bfgaAb4/eD34Xv53hL5Ocr16EHUI4+A45D82Wfse+utIsuV79+fem+8wbbBgzmyfj0AZVq0oNZTT+GUKwfWsn3wYGxmZonk+j0Ve/ei/pOPYTwe9k6cTPxrbxRYXu2yYdR75CEy4xMASHz/Q5Im5R0rPeXK0S56AQfmziPmwbFBz2utZfyX84nesI3w0BDGj7iAVnWjApYf/c4X7N6fzIwHbgDg+WkLWPTLVkK8HupWq8S44RdQoWxY0HOL/N39bRsSjDF1gNeBVrgjL74G7rHWZhpjzgBeACKBw8BPwG3ApUAna+0tRX9qgc//F3AHYHM+/yHgXOBsIBRoCGzKKf4UMBDoCRwCwoEVwIPW2j0l8fMW4DiE334/6ffcjE1KJOLNiWQvW4w/Ju8g7du6kcybR8DRI4QMGkbYqNvJePJ+d2HmUdJHXV7isX6XcfBecztZz9yDPZBE6BNv4f9pGTYuJq/M/kSy3n4W74DLCq6beZSst57GJsZCpaqUeeptjq7/AQ6nBzVy9M5EYpLTmHvNOaxLOMjjC9Yy5fKehcpd16EJXepWJ9Pn519fLSV6ZyI9GkTSsnpFPr+8J+EhXj5dt4MXv/+VlwZ0Dl5g4+AMuwnf62MheT+ee17Ct36le4FzrMhZ58LhNHxP3Ijp0B1n8LX4P3gO4nbhe/4O9wSsQmU897+C75cf3NcniuMQcdfDHLp9JP69CVR8fwpZSxYWONHNnDeLo1M/AyCkWy/K3n4vqXfcFNxcf2G72vRD+N5+Eg4dgJr18PzfE/jGXgtly+MM/he+58dA2iGcK8dgmrXLbWQoadG7kohJOcz/s3ff4VFUbQOHfzO7mx4SShq9914EUZEi1YKIioKioOCr2Cg2sIAFe3ntXfEVEFGxgCAgQigioPTeQoB0SO87c74/JmSzbAIEsgT8nvu6uMjOnJ08uzkz58xps2jElWxJTGPaim3MudGz0alX/XBGtKnHgJkr3La/umYng5vV4vrmtVl7JIU31+7m5avaeyVWdJ1mL73AxptuJS8unksW/0rKosVk79lbnMS/YQMaPHQ/G66+Hmd6Oo4a1g1qfmIS6wdehyoowBYYQLfoZSQvWkxBYqJ3Yi0Rs9+4x8h5YhwqJZGAd77CuTYaM9bVaGHu30XOA99Bfj6Oa4bie/eD5E2fjDqeQs74UVBYCH7+BH40B+efK1DHU7wbM0DD1mhVwzE/ehpqNkDvPxzzq5c9kql9W1B//4F+z7Oex/DxRe/cG1XaTWJF0nX8xk8me8JYVHIiQR/PpnDVcvdyb+8ussbcCvl5+Ay+Gb97x5M79VGMjevJuutmALTgKgTNXoBz/Z/ejbco5upPPkPCmFE4ExKoOed7cv743eooKJK14Bcyv7Vu4AJ69qbao0+Q+J+7Cb7RivfoDdeiV6tG5AefEnfLUFCq4uPUdPSb78V498mia9ybpV/jcrMxpo1F69SjRNlxCOOVh11lxxPvYGz7CyLqoHfvj/HqBDAK0e97FrVtPaTEV3j4VlmdzaJRfYvK6k3MubWnR7pRnZq4yurvVhF9MIEeDSK5pnltbmnXAIBl++N5ZcVWPr6h4hvl3WLefYhDKWkseuR2tsQmMm3ecubcf7NHujdGDCTIzwelFA9/vZDftuxjUPum/LX/CMt2HGDew8Pxsds4lpVT4TFqzTtAWBTGSw9A3SbYho61OgROYhs6BmPuhxC7F/3uKWjNO6B2bUQlxGLMeBXbje6N3Fq7S8HmwHh9Ijh8sD3yFsbGVZCafI4B6zhuf4CCVx+D48k4nnkPc+MaVJyrc1PvMRByMil47A70rj2x3zQG5wfPo/ccBEDhU2MgOBTHxOkUThtXfL45P3oRFbPn3OI7A9Hb93Mo6TiLpt7HlpijTPtmIXMeHV1q2iUbdxHg6+OxPf54Omt2HiCqmnc7w06I3nuYQ8fSWfTgzWw5ksS0+auYM/Z6j3Rv3NTHlZfnLOW37QcZ1KYR3RvVYvxVXbDbdF5f/BefrNzExH5dzzkurXlHqBGF8eL9p8m/YzG+/cAj/+p9hqD2bsVcNg+t9xD03kMwF3yN3mcoKu4g5pevQHgt9BvuxvxwGhgG5s9fWp0Vvn7Yxr+KsWczJJ7jbaCuU3Xy0yTdMxojMZGIWXPJXb4MZ4lyJOfX+WTPnQOA35W9CJ30OCn3jSHn1/nk/DofAEfjptR4612vdyIARO+P49DxTBbdO5gtcSlMW/QXc0YN8kg3qltLutaPpMAwGD1zKdH7jtKjcS0+WrWFAS3qcUunZuxLTuM/c5Zx5f03eD3usvz55UyWv/sxd371UaXFcEoX2P2T1qLo3Js+zhpscONYjP8+7pHOduM91rl3aA/6mCdd517vIai9W1znXp8bMOf/z7rPmvcZeutLSv29xvtPQ3ZmxX0QXSdq2jRiRo7EmZBAwx9/JHPpUvL37XNPFhhI9TvvJGfjxhIfzkbtN97gyIQJ5O/ahS00FOV0Vlxsp4i5/ovPs+vm4RTEx9Nq0XzSFi8ht8Q9FMCxn34ps5Og9mOTyFj7l/djLRK94wCHklNZ9NQ9bImJY9q3vzFn4h2lpl2yebdHude9WQPGX9vTKkN++oNPlvzJxMG9zkfo/79pWmVHILzsX7m0kaZpGvAD8KNSqgnQFAgCXtA0LQKYCzymlGqmlOoALAKCy3H82lgdB5crpdoC3YAtSqlxSqn2wCBgv1KqfdG/E0P3HlFKtQOaARuBZZqmedbyz5GteWvMo4dR8UfB6aRw2W/Yu/d0S2Ns2gD5edbPO7aghUVUdBjlojVqjkqMQyXHg+HEWLsMvZP7jbpKSUQdPgDKvfFaJRyxOhEA0o6h0tPQgt1HG3rDsgMJDG5RF03TaBdVjcz8QpKz89zS+DvsdK0TBoCPTadleAiJWbkAdK0Thr/D6strG1m1eLvX1GuCSomHY4lgODH/jkZr434zprXpivnX7wCoTavRmrazdhTmuzoNHD7eaaw6DXvLNhhHYjHjjoDTSf7ShTh69HZLo0p0Hmn+/ucnznP5Xo8csDoRAOJjre/WbocakajkOMjKsN6zezNae+81XC07mMjgZrWsvBxZlcwCp0deBmgXWZWwQM9RHPuPZ9G1ltVY37VWdZYdTPJarCEdO5AbE0PuoVhUYSGJP/5E2MD+bmlq3Tacw59/iTM9HYDClGMAqMLC4tE+uo8vmn5+ikC9WSvMuMOoBOua7Fy+GPul7p2Oxua/Id8a0Wrs3IZeo+ia7HRanQhg5Y/zFDOA1qQtalvRzKO4g+DrD4GlND7FHYTsjNKPccV1mGt/A8O7N0i2Fq0xj8a6yr3fF+G43P1Gwdi4vrjcc+7Ygl5KuWfv2RfnX6uK03mTb5u2FMYewnnkMDgLyV64gIDeV7mlUdknX9Osn30aNSZvnfW3MY8fx8zMxKdVG+8EWr+p+zXun2i0tu6jLrW23VzXuI2r0JqduuzQImujYnYX71f7tqG17+6V8Jftj2dwizruZXXW6crq0OIyOcjXUZwut9B5Xm6Olm0/wOBOLayY60WSmZtPcobn4IggP6sK6TRNCg2jOLRv/tzK3T074WO3AVDdC6POtVZdUBuWWy9i94JfAJxc9woOtbbHWo0UasNytFZFAyaSjkJynOeBlQJfX+ta5/Cxrh15514/0ho2QyXGQVE90/xrOXoH93LV1qE7xqrFAJjro9FbdgBAr1kPc+cmK1FmGuRkodVves4xldeyLbsZ3LWNlS8a1CYzJ4/kdM+Gsey8AmYsW8s9Ay/32Pfy90uYOKQPGufnJn/ZrkMMbt/EirlOBJl5BSRnenZsufKyotAwi/PyZY1rY7dZ5V67OuEklHIenA2tdRfU30WDImL3WrOaT5d//16BVtRIqbXqglpvzVpT6/8o3k5EbdTebdbPSUfRqoZDUIiVb07MeMjPQyUeQQupds6fw6d1WwoPx2IcPQLOQnIW/Yp/zz5uaUqWI7p/QKl144CBV5Oz6NdzjudMLNtzmMFtG1p5olYYmXmFHnnC32Gna31r1LGPzUbLyGoknkijaWTlW/WirPxCwr08q+Z09q1cQ87x1EqN4VQutPsnrfUlrrLj0J6ic6+qe6Lgqlad85DVQas2LC++t9JaX4Jab71frV/uOvey0uHwPjANr8Vekn+7dhQcOkTh4cOowkLS588nuG9fj3ThEyaQ8tFHqKI6PkDQFVeQt2sX+busjjsjLe28DM4L6tCevIMx5Mda91DHf/yZqv37nfH7A9q2wREWRvqKaC9G6W7Z1r0MvqR1UblXy6oPpWd5pMvOL2DGH+u5p597XfKyFg1cZUj9miSkVWBnkhD/j/0rOxKA3kCeUuoLAKWUgTV7YDQwEZihlCoebqiU+k4pVZ4hqeFAJpBV9P4spVQp82FLpyxvAgnAwHL83jOi1QjHTHJ9HJWSiB4WVmZ6n0HX41y3usQGHwI/mEnAuzOwX9azosMrlVa1Buq4q/FRHU9Gq+o59fm0x2nYHOx2VFIpN6cVLCkr1235loggv1N2BmTkF7D8QALd6nj+LX7Yfogr6nu3M0cLrQ6pJUYxpx2ztpVME1Id0orSmKY1VfREw2G9ptgmv4ftiXcw57x/fmcjAHpYOGZSQvFrMykRW5jnUg++Q28hdO5CAsZNJPuNF70e1zl/ryfStO+OOrLfajhOjkMLrwXVwkHXrUa70PKfD2cqKTuPyCBXB0FEoB+JpXQklKV5jWCWHrD+NksPJJJd6CQtzzvTc32jIsk76jq/8+Li8Y1yn+Ia0KghAQ0b0nnBj3RZ+AvVe/d0vb9mTbouX8Llm9YT88573p+NAOjVwzGTXb/HTElCq+GZd09wDBiMc/2a4tdaWAQBH8wm6OsFFHw74/zMRgC04FBUZomb48w0z4aWU4mog1alKuzfVvHBnUSrEYEqUe6ZyYlopVwfTvC5eojVYXDy9j4DKVy60CsxnswWHoGR4LqmGYkJ2MM9y4HgW0ZQe+FSqk18lGMvPgdAwe5dBPTsDTYb9lq18WnZCntk2VO9z4UWUt19NHhqirWtrDSmCbk57mXHlPewTX4X8xur7FBxh9Aat4LAYHD4orfqfFZl/plIysolMrhkWe1/6rI6r4DlB+LpVseVf2ZtOkD/zxfz+srtTO7Z1itxlpSUkU1kSFDx64iQIBIzPG+cAcZ8+hNXPPcZgb4+9GvTGICYlDT+PhjHsHe/ZeSH37P1sBeucyHVUWnHil+q9ONwUr44ozQnUVvWQn4+tqc/wfbkh5jLf4bc0j97eXjUM1OT0aqeFEvV6qjjJfNxNgRVwYw9gN7hUqtzo0YkWv2maNVd+cN+1yM4nv0Q23UjzjnOU0lKyySyqqvuEFG1ComlNIq8M385d/bphr+Pw23775t3Ex4STPPa52/wUFJmNpFVSuTlKoEkltEZMOarX7nilf8R6OugX8sGHvt/+GcPVzSpUzGBhVRDpbnKUpV+7PT5N+2YtYwVWGXhiSWsSpaNcTHoJwaT1GkMVcMg9OR8FoZWqwHqkPso4LNhlSOumVxGUgK2CM+/b9Cw4UTNX0zI+EmkvfyCx/6A/gPJWVQxSy2dTlJmDpFVAotfR1QJIDHzNNfkvUfoVtSxcP8Vbfll20F6vf09/5mzjCn9vTib+1/ggrt/qnLSuVfyvDohpJp1TpZMU6XkuVdUN81MPbN6qVLY7nkG2/hX0bp5NvafDUdkJIXxrnOvMD4e+0nnnl+rVjiiosj6w32pTJ8GDUAp6n35JQ1//pnqY8dWSEyn4xMVSUGc6x6qID4eR5Rn3bHa1QNps2wxTT79EJ+aRcvnaRr1pj5F7LTnzkusJySlZxIZ6hrvGxEaTGIpHejvLIjmzl5d8Pcpe8GVH9Zu4YqWDb0SpxD/3/xbOxJaYS1XVEwplQHEAo1P3ncWNgOJwEFN077QNO3aszzOP0Dzc4zlnDiuGoTetCUFc1zrdWfdOojse0eQ+8Jk/MY9glazdiVGWA6h1XDc+wSFH79cKSPmT8VpmkxauIHb2jekTkig276fdx1mW1Iaozs2rqToztChPRjTx2G8OgG9301gd5z+PZUg//tvSLtpIDnvv4H/qHtO/4YLQWRd9OvuxPymaK3/3GzMb9/HNupRbA+/DMcTPWbiXEge6d6C9XHHueHbVayPO05EoB96JU5p1Ox2Aho24O/BN7L1nvto8car2KtYjS/5cXH81bMvqy+5jKhhN+ET5r0OmrNh7z0QW5MWFHz3VfE2lZxIzr23kj3qehx9r0ELPfdRjN6nofe5CXPZ+Xuew5ly9L0aW7NW5M/+0m27Vr0GesPGONetKf2NlSTzm5kcGXgVx994ldB77rO2zfsOZ2ICNef8QLXHJpO/aeN579w9Y4f2YLwwDuOV8a6yI/EI5pLvsI17Dtu4aagjBy6I+IvL6g6NqBPqKquHt2/Ib6P7MeGKVnz0l/eX/iiPT+4ezIopoylwGvy1z1omxTBN0nPz+WbcTUy6+jImzFyEusDqRWWq2xiUifHsWIzp96Ffea3VqV6JzJULUcdTcEx9H/vw+zD3bi8e9Vr44XQKnxpD4fTx6E3boHevmEaqs7XzcAKHk1O5qr377UVuQSEf/7aaB671XILzQvHJyEGsmDTCyssH3QcEfbhiIzZd49q2F2hduej8MpfNA/9AbBNeQ798kDULoeS1zccP2x2PYP70hbVm+3mSNWcW8df0I/2t16ky5l63fT5t2mLm5VG479w7Niqa0zSZNG8lt3VpTp2qVmPigh0xXN+2EX88OJQPh/XmsZ9XY14s17cL2EV5/wRndM9vvDsF441JGJ88j375QGjY0vtxaRqRU6aQ8IJnx51msxHQuTNHxo/n4M03U6VfPwK7e2dWZnmlLV7Cpi7d2dq7H+krVtLw7TcBiBg1krTflxU/O+FCsvNIIodT0riqXbMy03z42xpsNp1rO7c6j5EJ8e/1r31GgjcppQxN0wYAXYA+wJuapnVSSk0t56HKbGnTNG0sMBbgrWa1GVXKg8nKjC8lCb3EqEatRgRmsufasraOXfEZcRc54+92LZ0BqBQrrYo/inPTBmyNm+OMq/hHObjFnJqCVuJGUasWhkotx6hb/wB8Jr2I89vPUPt3eiFCy6zNB5i7LQaANhFVSSgxqjExK4+IMh4w+8zvm6gXGsTIDu43QGtik/h43W5m3HhF8RIE3qLSjrmP+Ax1H2kFRSOyQmtA2jFr5J1/oOeSJYlHUPm5EFXPmkJ6npjJSejhrlETengERnLZS+gULFlI4CNP4d0nZVTA9xpaHduYyRj/exNSXJUztW09xrb1AGjd+6NVcCPbrK0xzN1hrXHeJjyUhBJLfSRm5xFRyhJGZQkP9OPtgZ0AyC50suRAAlV8vdPRlB+fgF+tmsWv/WpGkX9SpTY/Lp70f/5BOZ3kxR4mZ/8BAho2IGPT5uI0BYmJZO/aTWi3riT94t1ReOaxJBwlltHRa4SjUjzzrq3DJfjcOprcSWPdrsknqOMpmDH7sbXugHPV716JVet4JVo7azkMFX8ILbgqxbdoJUdgno6vL9SoiT58gvU6sAr60Pswv3/fKw9cVimJaCXKPT0sAlXK9cHWqSu+I8eQ/cBoj+/Y0as/zuhlXl+G6QQjKRFbiVkEtohInElljxzPXriAGk9NIwXAMDj+imvEYNTX31AYc8YTI8tFpR9Dq1piJl3VGm4jBU+koWpYiWtcQNllR816ELsP9ecSjD+XAKBfO9JthOK5mrWpZFkdSkJmybI6t+yyeulG6oUGMrKMjv1BzWrz7O+bKizOkmat2cLcddsBaFM7nIQSU/cT07OIKDGq+2S+Dju9WzZg2Y4DdG9al8iQIPq2boSmabStE4muQWp2HtXK+NxnSus+AL2rtWyKOrwfLbR68fVBC6kGJ+UL0t1n6JWa5iR6hytQuzZaDfVZGaiY3Wh1GrnNJjgbHvXMqmGo1JNiST3mqn+eKKuLlhg0Zn/AiQUzHFP+i0ooqhefKO/zcq1lORs2w1yz5JxiLWnWig3MXW2trd2mXhQJqa7zKjE1g4gSIzUBNh88yrbYeK568h0M0+RYZjZ3vPkVU24ewNGUNIa8YD2INzEtg6EvfsqcR0cTFlJ23jqrmP/aztx/rA63NjXDSCgxmyYxI5uIKoFlvdXKy83rsWzXIbo3sgYyzdu4hxV7Yvn8jqvRzmGQgnbZAPSu1vJx6vA+tNAaJfJv9dPn39DqkF60HOWJWQgn/s+yllIkPxdzznvF77FN+cBaFg6sB4nf+QjmPytRWytmjXGrHHE9cNsWHolxipmWOYsWUHXKM27bAvoPImehd+tBszbsZu5Gq6OiTc3qbktUJWbkEBFcxjV5wVrqVQtm5CUtird9v2kfH99qXYfa1w6jwGmQmpNH9cBzu779W10I90/aZQPQi2YCeJx7Jc+rE9KPu8181EKru5aCzUyzlj7KTLX+P3HuncqJ42elo7b+hVa3CerAjnP6TIUJCTiiXOeeIyoKZ4lzTw8KwrdpU+rPng2APSyMuh9/TOzYsRQmJJCzbh1GqjWzImv5cvxatSJ7jXcHshTEJ+BT03UP5RMVReFJ91DOVFc9P2nmbOo8NRmAoE6dCO56CRF3jkQPCET3cWBmZ3P4hZcqPM5Z0X8z90/rnq1N3Si35YgS0zKJCCmt3EvgqqnvYxiKY1nZ3PH2TGY8aM0SnPfXFlZs38fn9996TmWIEMLl3zojYQfQqeQGTdOqAHWB/SfvOxtFyxOtU0q9CNwCDD2Lw3QASm31Vkp9rJTqrJTqXJ5OBABj13b0WnXRImuC3Y6jd3+cfy53S6M3bob/hCnkPjkelVZi6YqgYHBYDYBalVBsrdu7PazSW9SBXWiRtdDCIsFmx9atN+Y/Z1iY2uw4Hn4OY+VizPXeXbNveLuGzBvRm3kjetOnURQ/7YxFKcXm+OME+9pLXT/+v2t2kJVfyBNXuq9fvSMpjWnLNvHutd2oHuDr1bgBiN2LFlYTqkeAzY7eqQdq6zq3JGrrX8WNBFr7y1wP960e4VqbvWoYWkRtOMeb+vJy7tyGrU5d9KhaYLfje9VACle6TxXVa9ct/tlxWQ/MwxXfYOnhXL5X/0Bs/3kG8+cZcPCkS0FQSHEa/YpBmGsWV2jYw9vUZ96wK5g37Ar6NIjgp91HrbyckEqwT+l5uSypuQXFo8E++Xs/N7Tw3iymjI2b8G/QAL+6ddAcDiKuH0zyIvfvJnnhIqpeZo3scVSrSkCjhuQeisU3Kgrdz/pc9pAQQrpeQva+/R6/o6KZu3eg16qDFmFdk+09++Fc636t0hs1w+/ByeQ+MwGV7romazXCwafo+hAUjK1VO8wjMV6LVf2zAvOLFzC/eAG1dxNa66K18Gs2sJ4bUMazEDzk52G+PQnzgymYH0yBuINe60QAq9yz1a6HVnR9cPQZQOHq5W5p9CbN8Z/0NDlPPIhKO+5xDEefgRT8fn6WNQLI37YVR9362GvVBruDwIFXk/OHeweRvW694p/9e/SkMDYGAM3Pz1rHGPC7tDs4DbeHNFeoQ3vcr3Ede6C2uDeCuV3jOlxedtkRWRuOFZUdJ65xVcPQ2l2K2uD+EPdzMbx9Q+bd1pt5t/WmT6Oa/LTzsKus9nEQFlRKWb16B1n5Tp44aemimFRXI+iKAwnUC63YRtfimLu3Zd7DtzLv4Vvp06ohP/2904r5UALBfj6EndT4mp1fUPzcBKdhsmJXDA3CrXWme7dqyLr9VkN3THIqhYZJ1XJc08ui1izCePMRjDcfQW1fh9a5p7WjbhPIy/HsaMxMs7bXbQKA1rknavv6U/+OtBS0Jq2tFz6+aPWaVMhylergbrSIWlDDqmfqXXtibnSvZxqb1mC73FovWu/Sw/VcBB9f8LG+P61VRzAN6yHNug5BRUsN2Wzo7bphHo0551hLGn5lZ+ZNHsO8yWPo07YZP/211coXB48Q7O9H2EkNKrf06MSKFx9m6fMP8PXEO6gfXp0Z40fStFY4q16ZwNLnH2Dp8w8QEVqF75+4u8I7EQCGd23FvHuHMu/eofRpUZ+fNu21Yj6caOXlYPc17bPzXWvkOw2TFXsO06CGtVzJyr2H+Wz1Zt4b3u+US1acCbV6kTUq+Y1JqG3r0DoVzc440/zb6UrrofCA2r4BrYv1HB6tSy9XvvYLAJsVp9b1KquxsmjmgT7sPqtDNfqXc/ocJRVs34qjbj1stWrCyztEAAAgAElEQVSB3UHAgEHkrljmlqZkOeLXoyfO2EOunZqG/3lY1mh452bMG3MN88ZcQ5+mdfhpywErTxxNJtjX4ZEnAP67fKN1/9TPfemiqCqBrD1oNX7uT0kn32lQLeDcr2//VhfC/ZNavQjj9YkYr09EbS1RdtRrWnTunfSMicxU67ypZz2LRuvcE7XNurdS29ejdbHer3VxbS+Tjy/4+hX/rDVtVyF10dwtW/CpXx9H7dpoDgch11xD5tKlxfvNzEx2d+7M3h492NujB7kbNxI7dix5W7eSFR2Nb7NmaH5+YLMR0LWrx0OavSFr02b8GtbHt+geqtr115G62L3j2xHu6nCv2r8feXutuPaPe5BNnbuxqUt3Yp99nuS533ulEwFgeI9OzHtsNPMeG02ftk34ad22onLvKMF+vh7l1i1XdGTF8/ezdOp9fP3wCOqHVyvuRFi54wCfLf2L98bc6LHcnxDi7P1bZyT8DrykadpIpdRXmqbZgNeBL4HXgHWapi1QSv0FoGnaDcDqMo92Ek3TagKRSql/ija1Bw6d4i0nv18DHgCisB70XLFMg7x3Xibg5ffRbDoFC3/CjDmA7533YuzZgXPNCvzuGQ9+Afg/84r1lqQEcp98GFu9hviNn2JNE9Q0CmZ/cV46EjBNnDPexvHoK6DrGCsWoo7GYB86CvPgbsx/1qA1bIbPw89BQBB6h0tRQ0dR8Pgo9G490Zu1RQuqgq3HAAAKP3oJFevdBsIe9SOIjklkwIwl+NntvNC3Q/G+ITOXMW9EbxIyc/lo/R4aVg1i6Cyr0jaiXUNubF2f11ZtJ6fAYPyvVgWoZnAA713XrdTfVSFME3Puh9jumwaajrl2KSTEog8agYrdi9q2DvXnErSRE7A9/RHkZGF8YeUPrWFL9L43WiN1lcL89sMzb1CsKIZB9uvTqfLWR6DbyJ8/D+PgfvzHjMO5czuFq5bjd+NwHF26gdOJyswg67nJ3o/rXL7XHldDjSj0AbfAgFusj/ne05CVjn7jGLSa1hrB5qJvSn8oZQXpUS+M6NgkBsxcgZ9d54Xeroa0IXNWMm/YFQC8tmYXC/bGkec06DVjGUNb1Ob+S5qyLu4Yb67djQZ0rlmNp3p4b9qoMgx2P/EkHb6dhabrxM2eQ/buPTR8bBIZmzaT8tsSji1bTrWeV9Jt1R9gGOyd+hyFqalUu/IKmkx72npgrQax731I9s7zsEyJaZD33qsETH8HdBuFi3/GPHQAn5H3YOzZibE2Gt8xD4K/P/5PWpVylZRI7tQJ6HUb4DvmYU4EXfDd15gx3u/8AGD/NlTD1uj3PAeFBZi/upbA00dNwfzCmq6t9bwBrWUXcPig3/ciastq1Kr55yfGEwyD3LemE/jaB9Z3/OuPmDH78R19H8buHThXL8f/3glo/gEETHsNsMq9nCcetD5DZE1rlN6mDec15mPTnyXyo8/AZiNz3ncU7t9H6LgHKdi+jZzly6gy/Db8u3VHOZ2YGekkT34MAFu16kR89BkohZGYSPITj3gvTtPE/PZDbOOeLbrGLbGucVcXXeO2rkOtWYw2ciK2Zz6G7CyML14GisqOfjeCYYAyMed8UFx22O6ebD0jwTCsMiXXO/PHejSIIDomgQFfLMHPbuOFfh2L9w35ehnzbisqq9ftpmG1IIbOLFFWt6nPrE0H+DM2CbtNJ8TXwfT+5zwW5fQxN69P9O5DDHjlK/x8HLxwk+vhqUPems28h28lt8DJuBnzKXAamEpxSaPaDOtqDVi4oXNLnvzud657YyYOm43pN19V4aPw1M5/0Jp3xPb4u1CYjzHn/eJ9tvGvYrxp5Unjh0+x3TIO7D6o3Rut2QZYD8zUr78Lgqpgu+sJVFwM5ifPo1YvQhs2DtukN0EDc/0fEH/GVeyymSbOr9/BMeklNF3HWLkIFXcI25A7UAf3YG76EzN6IfrYx/F5eQYqO5PCD4qWpKgSimPiS9YSg6nHKPy4qPHE7oNj0ktWw7GuY27/B3O59x5Y26N1Y6K372PAM+9Z+eJ218qqQ6Z/wrzJY7z2u89WjyZ1iN5zmAH/nYOfw84L17uWVhrywffMu3couYWFjJv1GwWGaeXl+lEM62yNQH/+1zUUOg3u+sr6XtvVDmfqtVecc1xq5z9oLTpie+I9K/9+U2IWwYTXMN6YBIDx/SfYbrkfHD6oXRtRu6xbP3PZD+gjJ6Jf0geVmoz51evWmyNqY7v1AVAKlXAY89ui86JBc/TOPa08N6GoDPp1VvHxzpphkPric4R98BmarpP14/c49++jyn0PULB9G3kr/iDolhH4dbsUVejEzMzg2FOPF7/dt1MXjIR462HN50mPxrWI3n+UAe//aOWJa1xLugz5ZD7zxlxDQkY2H63eRsPqVRj6qdXJMaJzM27s0IRHr+rEM7+u5at11gCc6dd2r9RRxnfN+pymPS8nqEZ1Xjy8k1+emc6az/9XafF4uMDun9TOv61zb/L71rk3+93ifbaJr2O8PtEK+7uPrXPJ4YPa9Q9qZ9G59/sP6CMnoXc96dwLDsU2/lXw80dTCnpcg/HygxBYBdtoq+6ErlszgorKoXNiGMRPnUq9GTPQdJ3UuXPJ37uXsIcfJm/rVjJ/L3vmsJmRwbHPPqPhjz+CUmQtX+7xHAWvMAxiJj9Fs9lfo9lsJM+eQ+7uPdR6dCLZm7aQtngJkXePIrR/X5TTwEhLY/9DE7wf1yn0aNmI6O0HGPDsR1a5N2JQ8b4hL3/OvMdGn/L9z3+32CpD3v8GsB64PHXYAK/GLADt3zpeXZygXTRrppaTpml1gPexnkGgA78Ck5RS+ZqmXQq8gvXQZBOIxnoY883Au0DJISndlFJHTjp2PeALoCaQByQD/1FK7S/aXx+Yr5RqXeI9XwJXAhlAALAWeOLkY5cmo3eHi+qP5FOzHA/jvEA4ul9S2SGUi9p5btMxK0P6Bu8su+FNIZ09H/Z3IdMaX6BrB5/CH89/W9khlFvXjlGnT3QBCejVubJDKLesXy+s5xSciePHz/wB5ReCOj2bVnYI5aa1bn36RBeayIvkOVNF1KrllR1CuRkpZ7jk2gXCfvsdlR1C+SV74YHdXqbW/1nZIZRL/NLtlR1CudWceFtlh1Bu4+54pbJDKJcXutU9faILTMilF1/9YveP3lm20FuycjyXQL3QdZ7xbGWHUG62/qNkLaSzYP7920XVflnZ9E79L7p89m+dkYBS6jBQ6kOQlVJ/AqUNZ/my6N/pjn0I6H2K/TFA65O23Xm64wohhBBCCCGEEEIIIYQQFxqZcyKEEEIIIYQQQgghhBBCiDL9a2ckVBRN0/4CTn4S7u1Kqa2VEY8QQgghhBBCCCGEEEIIcT5JR8JpKKW6VnYMQgghhBBCCCGEEEIIIURlkY4EIYQQQgghhBBCCCGEEGdPu+ieHSzKSZ6RIIQQQgghhBBCCCGEEEKIMklHghBCCCGEEEIIIYQQQgghyiQdCUIIIYQQQgghhBBCCCGEKJN0JAghhBBCCCGEEEIIIYQQokzSkSCEEEIIIYQQQgghhBBCiDLZKzsAIYQQQgghhBBCCCGEEBcxTcar/9vJX1gIIYQQQgghhBBCCCGEEGWSjgQhhBBCCCGEEEIIIYQQQpRJOhKEEEIIIYQQQgghhBBCCFEm6UgQQgghhBBCCCGEEEIIIUSZpCNBCCGEEEIIIYQQQgghhBBlsld2AEIIIYQQQgghhBBCCCEuYrpW2REIL5MZCUIIIYQQQgghhBBCCCGEKJN0JAghhBBCCCGEEEIIIYQQokzSkSCEEEIIIYQQQgghhBBCiDJJR4IQQgghhBBCCCGEEEIIIcokHQlCCCGEEEIIIYQQQgghhCiTvbIDEEIIIYQQQgghhBBCCHER02S8+r+ddCRcBHQ/R2WHUC72OpGVHUK5qZiDlR1C+fj7o9IyKjuKcvGLqFLZIZSbVr16ZYdQLio5ubJDKLcurWpUdgjl9mH0xXW9mNCrc2WHUG55uc7KDqHcjh3Lq+wQyqWOqSo7hPIzjMqOoPxstsqOoHzsF9+tge5zkcV8JKayIyg323VjKjuEcsv4eGZlh1AusQnZlR1CudX0D6jsEMrthW51KzuEcpmyNrayQyi3927qXdkhlFtB/t+VHUK51K8TXNkhlJsWVb+yQxBCVBDpKhLiInSxdSIIIYQQQgghhBBCCCEuXtKRIIQQQgghhBBCCCGEEEKIMklHghBCCCGEEEIIIYQQQgghyiQdCUIIIYQQQgghhBBCCCGEKNNF9nQyIYQQQgghhBBCCCGEEBcUTavsCISXyYwEIYQQQgghhBBCCCGEEEKUSToShBBCCCGEEEIIIYQQQghRJulIEEIIIYQQQgghhBBCCCFEmaQjQQghhBBCCCGEEEIIIYQQZZKOBCGEEEIIIYQQQgghhBBClMle2QEIIYQQQgghhBBCCCGEuIhpMl79307+wkIIIYQQQgghhBBCCCGEKJN0JAghhBBCCCGEEEIIIYQQokzSkSCEEEIIIYQQQgghhBBCiDJJR4IQQgghhBBCCCGEEEIIIcokHQlCCCGEEEIIIYQQQgghhCiTvbIDEEIIIYQQQgghhBBCCHER07TKjkB4mcxIEEIIIYQQQgghhBBCCCFEmaQjQQghhBBCCCGEEEIIIYQQZZKOBCGEEEIIIYQQQgghhBBClEk6EoQQQgghhBBCCCGEEEIIUSbpSBBCCCGEEEIIIYQQQgghRJnslR2AN2malqWUCipl+0jgUUABTmCmUuo1TdO6Af8FfIv+zVFKTS3j2BHAZ0AdwAHEAI8B/ytKUhdIL/qXAtwN7AR2AX5AJvC+UurLCvioHmyduuF7z0TQdQp/+4nCuV+57XcMGY6j/3Uow0Clp5H/1nOopAQA/J79L7bmrTF2bCZv6gRvhOdGv/YOtGbtoaAA47sPIC7GM1HNBthu+g84fFC7N2H+MsNtt3b51diuvg3nc2MhJxN8/dGHjUMLrQG6DXPlfNTfKyom3utGoTXvAIX5GN++D0cPeiaq1QDbzeOseHdtxPz5C+u9V9+G1qITGE7UsUTMb9+HvBzX+0KrY5v4JuaSuajoXyokXq1VJ2zD7gVdx1y1CHPRt+4J7A5soyah1WuCys7A+PhFOJbo+hy3PYjmHwDKxPnCg+AsROvcA9ugW61jbvkL84fPKyTW0tg6dMXn7odBt+Fc8guFP/zPbb/esj0+dz2EXr8R+a89g/HnH8X7HHfch71Td9B0jM3rKfj0Ta/FqQ0cgdakLRQWYP74KcQf8kwUVQ/9+rutfLF3C2rhTGt7ZF30a+4AuwNMA3PBV3D0IFqbS9EuH2SlKcjDnP8VJB6usJj1q29Ha9reysvffwzxMZ6JatbHdsM9Vsx7NmEusL5/vfcNaJ17QnYmAOaSb1F7NoNuQx9yN1pUfSt/bFpVYXn5BPsl3fG7/zGw6RQumEf+LPf853PT7fhcPQQMA5WWSs4rz6AS4wHQwiPxf2QqengEKEX24/ejEuIqNL7S1O/bmz6vvYhm09ny5dese+2/bvuD69Ri0Cfv4RsSgm6zseKpZzn421IAwlq3pN+7b+ATHIwyTf53+VUY+flejxlAu+pmtEatrXy9YEap+U/rMRitdVfwC8B842HX9vZXoHXsCcqEgnzMRTPhWLzXYvW59HKCJz4Buo3cn74jZ8anbvv9bxiG/023gmmicrLJmD4V4+B+7C3bUGXKtOJ02Z+8R/7y370WZ0lVel1J3Wengs1GyqxvSHj3fbf91W++kdpPT6Ew3iqfk76YQcqsbwBoMusrAjt2IGvdBvaNHOXVOLWWndBvGguajrlmMWrxXPcEdjv6HRPR6jSG7EyMz16C40mu/VXDsD31Aeavs1BLf4DwWtjuety1v0Yk5vyvUX/8VOGxK6WYHr2N6JhE/O02pvftQMvwULc0uYVOxi/cwOH0HHRNo1eDCCZc1hKADUeP8WL0NvakZPDagE70b1KzwmMsNeafVhC98yD+Pg6mD+tHy9rhHunGfjKP5IxsnKZJpwa1eOqGXth0nZ1Hk5j2/TLynU7sus5TN/Smbd3ICo/Tqr8V1YfmllF/q9UA2033gt0HtXtjcf1N73szWstOoBQqKwNz7geQmQr+geg33oNWLQKchRjffQiJRyok3rOtD2mX9MLW/0a3z+R8/n5IOortniloYVFgmpib12LO+6JCYi2NUorpSzYQvf8o/nY706+9lJaR1d3S5BY6Gf9DNIdTs9B1jV5NajOhVwcA4tKzmfzLGjLyCzBNxfheHbiycS2vxXsi5hfeeJsVf/6Fn68vLz31BK2aN/VIN3/xUj6a8TWgER5Wg1enTqFaqOs8/XzmHF5+533+XPST2/aKZuvSHb/7H0HTdQp+/ZGC2e5/T58bb8MxaIhVj09PJffVacX1i+AlGzAP7gPATEog98mHPY7vDaG9etLw+algs5E4czZH33EvR8KH3UT9p6eQn2CVIwmff0niTKsc8alVk8ZvvIpvzShQih0j7iD/cMWcb6eilGL6gjVE74nF32Fn+tCetKwZ5pFu7IwFJGfm4DQVnepF8tS1l2PTXeMgv1i1mVcXrWX1EyOpGujv9bgBHN0uI/Dhx8FmI+/n78n732du+32H3Izf0FvAMFG5OWS/NBUj5sB5ie1M3f7Ze7S5ZgCZSck816ZbZYdTTOs1FK1BS6vO+dtMSPLMi9plV6O1vAR8AzDffcR9X9MOaJcOtMqVlKOoX7/yeL+3BPe8ktrPPoOm2zg2+xsS3/vAbX+1m2+k5pOTKSw6D1O++Ipjs785b/GdcLHVlZVSTP/iW6L/2Yafrw/Tx91Bq4Z1PdKNfOZ1klMz8PNxAPDpUw9SPaQKL375Leu27QEgt6CA4+mZrJvhvfYAUUST8er/dv/qjoTSaJo2EHgY6KeUitM0zRcYWbR7BnCzUmqzpmk2oNkpDvUssEQp9d+i47ZVSm0F2he9/hKYr5T6ruh1fWC/UqpD0euGwA+apmlKqYq969B1fO97lNwp96NSkvB/awbOtStRh10N3ub+3eQ8dAfk52MfNBSf0Q+Q/9IUAAq//5pCX18cg26o0LBKozVrD9UjMV4bD3UaY7v+Loz3n/JIZ7t+NMYPn8Dhfeh3PobWtJ3VaAkQUg2tSRtUarLruJf2g6SjGF+9BoHB2Ca8gbFpFRjGucXbvAPUiMR45UGo2wTbkLsx3p3iGe+QMRjffwSxe9FHP4HWrD1q9ybUni2YC2eBaaIPHIHeawjmicZkQL/mDtTujecUo3vAOrbh43C+ORlSU7BPfhtz81qIj3X9zsv6o3KyMJ4cjdblSmw3jMb45EXQdex3PYrz81fgyEEIDLa+v8BgbDfejfP5ByArHdudE9Gat0ft2lRxcRcHp+NzzyTynnkIdSwJv1c/w7luJepITHESlZJA/tvP47h+uPtbm7XG1rwtuQ9bp7ff9A/RW3fA3FaB3+8JTdqiVYvAfPsxqN0I/eqRmJ8+5/lxrrkD85cv4ch+9BETUI3bwL6t6H1vxlz+I+zbCk3aovcdhvnlS6i0ZNQXL1qdTY3boF97Z6nHPRta03bWuffmRKjdCNt1d2J8NNUjne26URg/fmrFPPIRtCZtUXu3AGCuXoRa/av7cVtfAjY7xrtPgMMH24MvY2z5E9JSKiRudB2/hyaTPekeVHIiQR/OonD1csxDrps0Y+8usu4ZDvl5+Fx3E373jCf32UcBCJj8PPn/+xTn32vB3x9MVTFxnYKm6/R96xW+vXoomUfjuH3VUvbPX8SxXbuL01z62ER2f/8Tmz75gurNmzH0x2/4uHkHNJuNqz//kAV33Uvy1u34VauKWVjo9ZgBaNgarWo45kdPQ80G6P2HY371skcytW8L6u8/0O951n37jvWoTSutF43bove5EfPbd7wTq64T/OiTpN1/N0ZiItVmzCE/+g+Mg/uLk+T9Np/cH+YA4NujF8HjHyXtwXtw7t/L8ZE3gWGgV69B9VnzSF65/JzLizOJue7059kzbASF8fG0WPgLaYuXkLdnr1uy1J9+IXbK0x5vT3j/I3R/f8JuH+HdODUdfdi9GG8/CWkp2B57E2PLWkhwdSpp3ftDThbG1DFonXqgDxmF+Zkrr+hD70bt+Nt1zKSjGC8+UHx82/SvUJvXeCX86ENJHErLZtHIPmxJSGXaH1uYM6yHR7pRHRrTtU4NCgyT0fPWEB2TSI/6EUQF+zO9b3u++Gd/KUf3juhdMRxKTmXR43eyJTaBad//zpyHbvVI98btgwjy80UpxcNfLeC3zXsZ1KEZry9YxX19u9KjRQNW7DzI6/NXMuO+myo0Rq1Ze6gRhfHaw0X1t7sx3n/SI53t+rusjurD+9BHPY7WtL3VKR39CyyxGvK17gPQ+9yA+eNn6D2vR8UdwvzfGxBWE33waMxPn6+AgM++PqTW/YFzXdEghVr1sd/3NBw5AD6+mIu/Q+3eAjY7tgkvobXujNq24dzjLUX0/jgOHc9k0X8GsyUuhWmL1jHnzoEe6UZ1bUnX+pEUGAajZy4lev9RejSqxUertzKgRT1u6dSUfclp/OfbP7iy8RCvxFoc859/EXP4CIvnzmTz9h1MfeUN5n7+oVsap9PJC2++w4LZM6gWGsor73zAzLnzeGCM1UEan5jE6nXrqRkZ4dVY0XX8H3qc7EfuRSUnEvjBTJxrVrjXL/btouDeEZCfh+O6m/Ab+xC5zxV1ihbkkz32Fu/GWErMDV96nu03D6cgLp52v83n+G9LyD2pHEn56RcOTPa8v2r6zlscfusd0qNXogdYg4bOh+g9hzl0LJ1F429hy5Ekpv28ijn/8cyLbwzrS5Cfj3WNm72E37YdYFDbxgDEp2WxZt8RokI8xgx6j64TOPFJMh4ag5mUQMjncyhc+YdbR0HBbwvIn2dd2xyX9yTgoUfJHP+f8xfjGfjzy5ksf/dj7vzqo8oOxaVBS7TQMMzPn4Oo+uh9bsac/YZHMnVgO2rTSvRRJ+Xn0DC0S/pifvMm5OeC//nNF3VeeI59t46gMD6BZr/+TPripeTtdT8P036ez5EnPetz581FWFeO3riNQ/FJLHrnWTbvPcizn8xizouPl5r21YdG07pRPbdtT9x5c/HPXy/8g50HK25AnhD/n/1/7Cp6ApiklIoDUErlK6U+KdoXDsQXbTeUUjtOcZwooLibXCm1pTxBKKUOABOAB8vzvjOhN22FGXfEGmXrdOKMXoz9UvebZmPL31A0otXctRW9hmukm7F5PeTmcD5oLTqhNhY1NB3eB34BEHzSSKPgUPD1t/YDauNKtJadi3frV4+0GudLUljvAfDxg9wsMM+9cqy17Iz6J9p6EbsX/ANLj9fP39oPqH+i0Vp1sX7eu6U4DhW7B0KruY7dqgukJlXYyDsArUEzVFI8pCSA4cRcvwK93aXuadpfivrTGvms/l6J1qJ90WfthDpy0OpEAGvkuTLRakShEo9CVjoA5q5NaB0vq7CYS9KbtMSMP4JKtPKysWop9q5XuKVRSQmoQ/tLv/nx8QG73Rrpb7eh0o57JU6tWQfU5tXWiyP7rXwcFOKeKCjEypNHrMqa2rwarXnHog+h0Iryq+brj8pMtbYf3ueasXJkP1SpRkXRWnRCbVpVIuZACDopLweFuse8aZXbuVcmH1/QdbD7gOG0KvQVxNa8NebRw6j4o+B0UrhsEY7LerqlMTath/w8AJw7tqKHWdc3vV5DsNmtTgSA3NzidN4U1aUjqfsPkh5zCLOwkF1z59H4mpMaf5TCp0owAL4hwWQVjUCvf1UvkrftIHnrdgDyjqeiKuBadia0Jm1R24q+q7iDVl4IrOKZMO4gZGd4bi9wfbeawweU9zptHK3aYByOxTh6BJyF5C1ZiO+Vvd3SqOxsVzx+/lY5AVYeOHEj5Gs1yp4PgR3akx8TQ0FsLKqwkOM//UJo/35n/P7MVasxs7K8GGGR+k1RyXFwrKgc+TsarZ37CEatbVfMtdbINLVxFVqzdq597bpZs9xKm6UFaM3bQUo8HE8udf+5WnYggcHNa6NpGu2iqpGZX0hytvt57++w07VODQB8bDotw0JIzLLS1KoSQLMaIeia5pX4So15+34Gd25hxVwvisy8ApIzsj3SBfn5AuA0TQqdBidC1IDs/AIAsvLyCfdCQ5tbfejwPvA/g/rbP9ForYrKkJLlgo+v6+eIWqj91vWO5Di0qmGe5enZxHsO9aGS9C49MdcXzXAtyLc6EcAaoR67D0JrnHOsZVm25zCD2zSw8kWtMCtfZLnX1/0ddrrWt2af+NhstIysRmKGK01WgdURnZVfSHiQ90dw/x69iusH9UfTNNq3bkVGVhZJKcfc0iisUae5uXkopcjKySE8zDXT4sW33uWR+/+DhnfPQc/6xW/Yu/d0S2Ns2lBcbzB2bEEL83LnxmkEd2xP3sEY8g9Z5Ujyjz9TbcCZlSP+TZug2W2kR1v3YWZODmau9+tEAMt2xjC4fVMrL9eJIDMvn+TM0q5xPkDRNc5wXeMAXl64hon9u3EeL83YW7bBOBKLGXcEnE7yly7E0eOkukZOibqGv79X6z5na9/KNeQcT63sMNxojdqgdqyzXsTHlF3njI8ptc6ptbnUGrxyomzJPQ/1oyIBxfW5w6jCQlJ/+oWQ/n3P2+8/UxdjXXnZ+i0MvrKbVYY0bUhGdi5JqelndawFq9Yz6LIzuI8VQpzW/7sZCUBr4O8y9r0J7NY0bTmwCJihlCqrRvUeMEfTtPuBpcAXJzonyuEfoHk533NaWvUwVEpi8WuVkoTerFWZ6e39r8O54c+KDuPMhFRDpbluKFT6cauxNDPNlaZKNVTG8RJpjqGFWA2qWotOkHEcElwjygDUn7+hjZyE7Yn3wdcfc/bbFVORC6mGKjGyWqUdg5CT4hMEJ2MAACAASURBVA2phko/5pbmRLwlaV16u0Zg+vii9xyM8clz6Fded+5xnhBa3a1xRqWloDVwn2ijhVZHnUhjmpCbDUFV0CJqAQrbQy+gBYdgrl+O+dt3qOQ4tMjaUD0CUpPR218KNu9cSrRqJ+XlY8noTVqe0XvN3dswt/5DwBe/ABqFv36POlJ6Q9Y5x1mlKmaJPEpGKlSpWtzZAlivS+bjjFT0KlVRgLloFvrtk9D6DbOWDvnMc/Sl1rEHal+5+itPLbiqez7NOF4Uc8lzr+pJ595xtOCqxa/1bn2hw+WoowetmTV5Oaht69Cad8T22Lvg8MH8daaVpyqIFhaOSk4ofm0mJ2Fr2abM9D5XD8G5zurk0evUQ2VlEvDsG+hRtXD+vZa8j/9bIZ2MpxJUM4rMI0eLX2cejSPqkk5uaVa/8Ao3/fIdHe8dgyMggG+vtmaEVWvSCKUUN/48l4Aa1dn13TzWveGlUf0n0YJDMTNL3GhmplkNg6V1GpR1jI5XonW5Cmw2zNlveSFKix4WgZlYIl8kJuBo3dYjnf9NtxIw/A40h4PUe0cXb7e3akvI08+jR9Yk45nHvD8bAfCJjKTgqKvaUBAfT1AHz4bL0KsHEdStK3kHDnL4mWkUxnlveajSaKHVIbXEjKLUFLT6zVAeaUqWIzlWA4CzAL3vjRjvPIl+VemzHLVOPTA3VMzSg6VJysojMtjVYBoR5E9iVh5hgX6lps/IL2T5wURub9/QazGdTlJ6NpGhwcWvI0KCSEzPIqxKoEfaMR//wNbDiVzRvD792jYB4PHBPRnzyTxe/WUlplLMvH9YxQdZ5Qzrb+knlSElOsT1fsPQOvaAvByMT4pmNMXHore+BDNmF9RuZDXMh1RzL0/PxjnUh8hyXfP0Lj1wvjcND/6B6G274vz9x3OL8xSSsnKJLJEHIoIDSczMJSwooNT0GXkFLN93lNu7WLca9/doy92zlzFzw25yC518dmsfr8V6QmJyCpHhrsFKkeFhJCYnE17D1VHgsNuZ+ugErh0xigB/P+rVqc0zk6xlgZZGryI8rAbNmzT2eqxajXDMpJL3T4nYWrQuM73PoOuL6xfWBh8CP5iJMpwUzP4C5+rlXoy26FdGRlIQV6IciYsnuGMHj3TVrxlIlUu7krv/AAefnkZBXDz+jRrizMig+ecf41u3DunRq4h5/kWv14kAkjKziQwpkZerBJKYkUNYcCnXuC8XsPVIElc0rUu/VtZ1+fedMYRXCaR5VHWP9N6kh4VjJpWoayQl4mjlWQf1HXoL/rfcAQ4HGfeP9tgvPGlBIZgly4+sNKsT+QzrnFrVcBSgD3vYWr7uz4UQs9M7wZ7EOg9ddbOC+HgCO3ieh6GDBhLU9RLyDh7k6NRnz3t97mKsKyceTyOyuuveM7J6KEnH0wiv6jnAYPJ7M7DpOn27deDeoYPQSvQyHk0+xpGkFLq1rvCmNyH+X/r/OCOhTEqpZ4HOwGJgOFZnQllpfwMaAp9gdQZs1DTNc3HHUytzDIWmaWM1TdugadqGz2OTykp2zuy9BmBr0oLC7/53+sQXGocPeq/rMZfM9dilNW0L8YcwXrwP453H0a+70zVD4QKg9R4CplE8G0PvezPm/7F33/FRFO8Dxz+zewkJPYQk9N57RwEpYsHyE7ELWKgWrIAV7IIVbIiKIupXwY6oiChfpApI7723hBJCCiHJ7c7vjzlyuRRIQkLA7/N+vXxJ7mb3nmzmdmd3Zp6ZPx1Sz03e81yxbFSdxjgTX8P7+jBUi46oBi1M+oqvxmEPfgr7sTHmQf85mgqdF6pCZVSVGpwYcD0nBvTEbtoaq1HzM29YBFTbS3F/n4L71jD0zMlYPTPddNRogGrZGf3nt9nvoAi4S2bhjB2K8/4ISIjDusqXXqVKLdAuzmsP4owZitXxagjL66mxYARdfg12/UakfP2ZecG28TRtSfIHY0i8tzdWxSoE9ehZJLFl1vCWG1j35RQ+rNOUH3rdytUTPwClsDweKndoz/R+9zC5+zXUve4aqnXNmpblfKVXzMX96Bn0nKmoDllTcJxryd9N4WivHiS+N5YS/e9Jf927fg1Hb72O2LtuocTdg8xspvNA3J+zWNuuAxu6X0n8vPnUfCfrNP/zmXVNH9zZP+U888f2oJq1R69YcG4Dy4HXdRn++3L6Nq9J1TJZH2idjz4efANznx1EqtdhyTYzZf/rRWt48rrOzH5mIE9c14VnvvuziKPMnvvHNzivDsFdtQDr4ivNa3OmQUhx7IdexerQw6y7cI5mYZ2JqlnftNMOZBqUYFnYg57EnT3NzHg4D3hdl+E/LaBvm/pUDTOdUtPX7+L6ZrX468Eb+PCWbjzx89+458Fo6TSvlyk/TuOnLz5h/q8/Ur9ObT76/CuST57ko8++5OHB59+D2KDLrsaq14jUb/xrtiXefjVJ9/UhedTThAx5DFWpShFG6Bf7x58sa9OBVd2uIG7ufOq+Z/KDK9umdPt27HzhZVZfeS3Fqlcj8raCTYFWED6++xrmPnGHOcftOEByahoT5q7kwe7n78jilB++Ju7mqzgxfiyh/e458wbi7FkWKiwC97t3cad/hnX5befVvf/xP2ex/qKObLq8Bwnz5lP97fO3PXehtZUB3nioPz+PfZYvXxrO8o3bmDZvScD7vy1cxpUXtcK25fGnEAXhf3FGwnqgNTA7uze11tuBD5RSHwOHlVLhWuujOZSNBSYDk5VSvwKdgR/yEEtLzALM2e17AjABIPHqdnlq5eujh1Hl/VNtVflI9NGsKQPsFm0JvrUfyU/cC95zlHMbUBddjtXWTKPT+3aYEWC+ezJVplzAqG0A4gNHsKky4XA8FspFmQUcH/blYS5dDvvB0Tjvj0S17oo717do49EYs35CRKX0FC15ivfiK7Ham1Fbeu92VNnyaExuc1XWF0tGx2NNjKe2z1RGte6C1bA1zgR/PnFVrQ6qaXu4ug+ElkBpjetNRf89M8/xBog7CuX8D3FV2fJwLNOU8rijZuR/3BGTjia0BCTGo+OOoLesTR+Jp9ctRVWrg960Cr1mCc4ac4FWl1xVaB0JOjZTXQ6P8I8WPAPPRV1wt6yDk2aKq7NiEXb9JrgbVhdIbKptd1TrLibO/TtRpcv5R+iWDjOzEjKKPxaQmkiVDkP7yqjmHdMXXtbrl6Kuy3DTHFUF67r+uF+NOeuR/ar9ZVhtuvli3oEqE54esypdLtuYA7975cximBAwQshd9hf2HcMAsJp18KXwciApHr1nC6pyrYA1TM6GPnwIFeFfNNSKiEQfjslSzm7dnmJ9B5L08ADwrSmgD8fgbNts0hYAaQv+wm7UlMI++yUeOEipKv4FLUtVrkTi/sBRSE3v6sv3Pc0N/IEly/CEFKN4+XAS9h9g34JFJB8155Adv/9JVMtm7Jkzr1BiVa26oJp3AkAf3I0qFeav16XKBo42zgO9YRnWFb3RfH7mwvngHo7BispQL6Iq4BzOuRP+5B+/UerJZyHTwGJn1w70iRN4atfFu3F9ocR6Smp0NMGV/Qv3BlesSGp0YF12jvmP95GvplBl5FOFGlN2dNxRVFiGdC1h5QNmM50qQ1iEueZYlklzkxSPqlEP1bIj9Orvv7alpaLn/gqAatwGvXd7vutVTiav3sl3603DomlUWaIT/Gl0YhKTiSqZ/WyE52avpnrZEtzZsnaBxpMbkxeu5rslawFoWrUC0XEJ6e/FHE8k6jTpiYoFebi0cS1mr9tBh3rVmbZsA0/3NNenHs3r8ux3swokRnXRFVjtTrXftueu/VYm0zUkcxlMOiyr35Mw63tIScb93p9D337ivcCFu/PrLNpD6du07YL7z5wsu7bveBgdcwC3EGYjTF62me9WmdRQTSuFE50hxVVMQhJRpbJ/UPbcb0uoXq4Ud7ZrmP7aD6u3M+E28/drUSWCVMfh2IkUwnOYnZNfX30/lW+nme9404b1iT7k//tFHzpMVETg4IKNvnz+1XzXyau6d2PCF1/RfV9H9h08SM++A8y2hw9zw12D+O7TD4kIL/iR6PrIIazIjPdPUbiHs7l/atWe4D4DOPHowPT2hdnelNUH9+NdtQy7TgO8Bwp34eLU6GiCK2W4jlSqmL6o8ineDNeRmK+mUOPZpwFIOXiQpHUbSNltZnXHzphJqdatOMQ3hRLr5MXr+G7ZJgCaVo4g+niGuhyfRFTp7GfWgO8c17AGszfuonzJUPYfi6fXuO/Tt71x/I98c28vIkrlvI+C4B4+hBWZoa0RGXXatkbqnzMo8dgzFNy83H8X1fwSVFOTYk7H7EGVKutvc5Ysm6eZaDohDqJ3m47n+FiTLrhsBMTsOfPGZ8l8Dyum/xxcsWL6osqnZGzPHZ38NZVHnPv23IXSVv7q9zl8P8sMMGlSpzrRR/33p9FH44gsVzbLNlG+WQslQkO4tlNb1m7dyfVd/Gk4ZyxcxjMDz/EaNkL8i/0vdsm9AryhlKoAoJQKVkoN9P37GuWfA1UXcIBs726VUpcqpYr7/l0KqA3k+krlW3z5TaDAc1S4WzZgVaqKiqoEHg+ezlfgLJ4fUMaqVY9iDz5F8ovD0cfPbY5EvfhPnPeewnnvKfSGZaiWvpz3VeuYfPCZHygkxJl8h1XNtGbV8hL0xuUQsxdn1L04rz9kFj+Oj8V572nT6Ig7glXbNx25ZBlU+Yr5vhHVi2bivP04ztuPo9f/Y6bhA1Sra9I3ZBfvyWTzPr6UNBvMwnuqXnOsrj1xPnsN0lLTN3E+eA7n1QdwXn0AveA33NlTz74TAdC7NqMiK5k0RLYHq20Xs7hgxjKrF6MuvszE1/oS9CbzoF2vX46qUjM9372q1xR9alHCUr7phMVLYne9Fnd+jpN3zoq7dSNWxSqoyIrg8WB3ugzvP7kbueoejsFu3BIsG2wbu0lL3AyLNJ8tvfS/uB8+i/vhs+hNK1DNfetEVKlt6mvmxm/icfN6FfOASjXv6F9YOyEOavimWtZsaPKJA5Qph3Xrg7hTJ/hfO5uYl8zCeX8Ezvsj0BuWo1p0yhDzicC0RmB+zhhzi07muwcB6ymoRm3QvrU99PGjqFq+VGpBxVBV65j86gXE2bweu0o1VIXK4PEQdGkP0v4OTIti1WlA6NBnOPH0wwHrYjib1qNKlkKVMY1NT6t2AYsoFpaDy1YSVqcWZapXwwoKosHNvdg2fUZAmfi9+6jW1Tz4K1e/Hp6QEE4cPsLOP2cT0bghntBQlG1T9ZKOHN24ObuPKRB6xVzcSaNwJ41Cb12FauJrhFeqaUaV5yGtEWH+dBbUaWJu6gpJ2oZ12NWqY1WqDJ4gQi6/ipR5fwWUsav6F2AL7tQFZ495AmpVqgy2bf5doRJ2jVo4B/ZT2JJWrSakZk2Cq1ZFBQVRruf/ETczcOR4UIaUIGWvvJyTW7cVelxZ7N6Ciqzsv4607oxeEzjSS69ZgnWR6XBXLTul5413xj6B80x/nGf6o/+ahjvz2/ROBADVpjN6acGnNerdvCZTe3dlau+udK9VkWmb9qG1ZvXBWEoVC8o2rdE7izaSmOLlqc45pzIpTL07Nmfq0L5MHdqX7o1rM23ZRhPz7oOUCgnOktYoKcW/boLXcZm7cSc1I825LbJ0CZZuN+fkxdv2Ur181pvu/NCL/8B590mcd59Er1/mbw/ltv2WoT1EuP9hhmrcxn+dCCme/n1UbS9F79xYIOvsnE17yLygsFp39q+P4GP1vAtCS+B+G7iAcEHp3aY+Uwdew9SB19C9XhWmrd1p6sX+w5QqFpxtWqN35qwiMSWVpy4PHLFdsXQJFu8yD7e2HzlOitehXPFiWbY/W31u6sW0/0xk2n8mclmXS/jpt5lorVm1bj2lSpYISGsEEBURwfadu4j1PWhb+M8yateoTv06tVk0Yxqzf/qG2T99Q4WICH78/ONC6UQA00awKldDVajka19ciXfRnIAyVp36hA4dQfLIR9FxGe6fSpaCoCAAVOmy2E1anJP2RcLK1YTWqkGxauY6EnH9dcSe5jpS7sorSPZdRxJXrsZTpjSecNPZV6ZTR05kWqS5IPW+qAlTH7iJqQ/cRPdGNZi2aoupy3tjTF0ulfkcl5a+boLXcZm7eTc1I8pSr0I4C566i1nD+zBreB+iSpfgh/tvKPROBADvxnXYVathVTRt0GKXXUXa/MC2hlWlWvq/gzp2xt1b+A+yL1R69XzcL1/H/fJ19LY1qEbtzBsVa5h1tvLQ5tTb10IVXwq0kBKmDXr8yOk3KiAnVq2mWIb2XFjP/+P4H4HfQ0+G72GZKy7n5LZz3567UNrKfXp0ZeqbI5n65ki6t23BtLmLzTVkyw5KFQ/JktbI6zgcizdrYqR5HeYsX0vdav4BXDv2R3M8KYkW9YouZeX/HMuS//Ly3wXo3z4jobhSKuNQkLFa67FKqShglq/TQAOf+t6/A3hLKXUC8AJ9tNY5JX9rDYxTSnkxHTKfaK2XniGe2kqplUAIkAC8q7X+LF+/2em4DikfvEHoy++CZZH2xy+4e3YQ3HcwztaNOEvmEzzgIQgJJeSpVwDQh6M5+eJwAEJfn4BVtTqEhFL8i19IeXsUzorFp/vEfNObV6Lqt8Ae/jakpeB8/1H6e/aDr+C8Z3rrnWmTsG+6F4KC0VtWoTevOv0hmD0V6+Z7fbMVFO7vU+BEwmm3yVW8m1b68r+/C6mpON+N98f7yOs4bz9u4v3pE+xb7jfxblqF3mQeGFvXDzAPxAc9Y/a3Zyvujx9n/aCC4ro4U8bjeWSUyRe58A84uBvrujvQu7eiVy/GXfA79oDH8bz8KTopAedjUyc4kYjz5494njbrS7jrlqLXmkWw7FvvM50MgDN9MhwqpIdurkPqx2MJee4tsG28s35F791J0O0Dcbdtwlm6AKtOQ4o9+QqqZCk8bTqhbx9A8kN9cRb9hd2sNaHv/AfQOCuW4CxdeMaPzJetq9F1m2E99DqkpeBOm5j+lnXvi7gfPmt+nelfYF0/EDzBZr2DreZhm/vLJKwefcyFxJuG+8skAFSXnhBaEuuaO9OPhzshm9zM+aC3rELVa449dIypyz9OSH/PHjLKpCwCnJ8/w75xsO+7txq9xTxYsXrchqpQHdDoY0dwp5nTqF7yJ+qGwdgPvgpK4a6YBzF7CyRmE5BD8juvUOKND8z5bcZPuLu2U6zf/Tib1+P9ey6h9z2KCi1O8RfeAEwO0BMjHgbX5eQHYykxdgIohbNlA6m/5mUSWf5ox2HWo09w0y/fYdk2az+fzNGNm+n4zJNEr1jF9um/M+fJZ7ly/Fu0efBe0JoZg4YAkBJ3nGXvfsAdC2ahtWbnzD/Z8fs5SlOyfR26VhOse16CtFTc3/yzCax+I3AnjQJAdb0B1aitSTd3/yvoNQvRC35Fte6Kqt7AzE45eQJ3+meFF6vjkPD6KMLe/Rhsi5M/T8XZsY0S9zyAd+N6Uub9RfFbehPc7mK014uOP87xF8yozODmrShx9yC01wuuS8JrL6GPF+wI+Zxi3vP0M9Sb8h+wbY5+/Q0nt2yh0mNDSVq9luN//EnkwH6UveJytNeLNy6OXY8MS9+8/k/fE1KnNnbxEjRbvoRdwx4jvjBmqrgu7jcfYD/wki/v8J8mj/21fc11ZO0S9N9/oO4ejv38x3AiAWfi62feb3AxVIOWuJPHFXzMGXSuEcm8XTH0+Py/hATZjLrMn7e41+Q5TO3dleiEZD5aupVaYSW5cYp5UNynWU1ualKdtTHHeOjXpcSnpPHXzmjGLdnML327FW7MDWswb9NOerz6GSFBHkbd6l88tdfYL5k6tC/JqWkM+fRnUh0H19W0q1OFWy82uY5fuPkyXvlpLo7rEuyxeeHmgs+FrzevRDVogf3YO6b99l2GWQQPvYrz7pMAOD99in3zfeYastnffrOuuh1VvhJoFx13BHfqJ2bjyMrYN98PaHTMPtwfPsr80flzNu0hQNVtambWZUxdVLY89jW3ow/uwTPS1GPnr1/QCwpncEXn2pWZt+0APT6YZurFtf7Font9Mp2pA68hOj6Jj/5eR63w0tw48TcA+rSpx00t6vJ491Y8N2MJX/yzEVCMvvbigBzShaFLh4uY+/diLr+pN6EhxRg98sn093reMYBp/5lIVER5hgy4mz73PojH46FyhSheefbcj9bFdTj53msUf208yrZInTENd9cOit19H86WDXj/nkvIPY9CSHFCnzPnOPdQNMkjH8GuXouQR0eY9diUInXKpHPSkYDjsOOpZ2j89Zdg2xya8g3Jm7dQ7fFhJK5eQ+zMP6k0qB/lrrgc7Th44+LY+tBQ3+/rsvP5l2ny/degFImr1xLz5eTCjxnoXK8a87bsocfYrwkJ9jDqhq7p7/Ua9z1TH7iJ5LQ0hnw5k1Svg6s17WpV4ta2uVsnrdA4DkljRlP67Y/Askn5dSrOzu2EDhqCd+N60hbMIeSm3gS1vQi8XnRCPIkvPV20MWdjwORPqde1EyXLh/PK3o388txo/v60iNMc79yArtkYq/+z4E3FnflV+ltW38dxvzTfOXXJdagGbSAoCGvQi+h1i9Cn1kOo3gDrrqfNdWXeNNPBfS44DvtGPkvtyV+gLJuj33zLyS1bqTB8KCdWryH+z1lE9L+bMldcDo4Xb9xxdj8y/NzElinOC62t3KVVE+atXMeVDz5DSHAwo4fclf5er+EvM/XNkaSmeRn48rt4HQfHdenQtAE3d++UXu63hUu5ukPbQr/eCfG/RJ2rFddF/uU1tVFRC2l+7lMCnLVzsFhQQdJxeRgVfJ5IPXThxRzSol5Rh5An2ust6hDyLGnB2qIOIc8mLCncVAUFbehz51/O4zM58kPhpG4qTHv3JRZ1CHnSolfOi5Sfr1TjIn6IlB/VLqwRcHph4S18XVh07Dno+CtAVseORR1CntnXDSrqEPIs/saiX5cnL9auPzejpwvSReMeLeoQ8ixu7KdnLnQeGbH4wpvR8P6Yu4s6hDxbM2ZaUYeQJ5UqXRjrOGUUMfH9og4hz6xm3aT3IR/cTYsuqOeXRc1qcPEFV88uzHkUQgghhBBCCCGEEEIIIYQ4J/7tqY3OmlKqH/BwppcXaq2HFEU8QgghhBBCCCGEEEIIIcS5JB0JZ6C1ngRMKuo4hBBCCCGEEEIIIYQQQoiiIB0JQgghhBBCCCGEEEIIIfJNFrb+95M1EoQQQgghhBBCCCGEEEIIkSPpSBBCCCGEEEIIIYQQQgghRI6kI0EIIYQQQgghhBBCCCGEEDmSjgQhhBBCCCGEEEIIIYQQQuRIOhKEEEIIIYQQQgghhBBCCJEjT1EHIIQQQgghhBBCCCGEEOICpmS8+r+d/IWFEEIIIYQQQgghhBBCCJEj6UgQQgghhBBCCCGEEEIIIUSOpCNBCCGEEEIIIYQQQgghhBA5ko4EIYQQQgghhBBCCCGEEELkSBZbFkIIIYQQQgghhBBCCJF/ShV1BKKQyYwEIYQQQgghhBBCCCGEEELkSDoShBBCCCGEEEIIIYQQQgiRI+lIEEIIIYQQQgghhBBCCCFEjqQjQQghhBBCCCGEEEIIIYQQOZKOBCGEEEIIIYQQQgghhBBC5MhT1AEIIYQQQgghhBBCCCGEuIApGa/+byd/YSGEEEIIIYQQQgghhBBC5EhprYs6BnEG3pF9L6g/kht9uKhDyDOrYmRRh5B3KSlFHUHeOE5RR5Bnbmx8UYeQJyr4wptkpkqVKOoQ8kxVqVLUIeRJ0s9zizqEPCveomZRh5Bnqnbtog4hb9LSijqCPNPbthV1CHmmHbeoQ8gTZV+AY4yCg4s6gjxJ3R1T1CHkmZOUWtQh5FnJCZOKOoQ8cT8bW9Qh5Jl3x56iDiHP7HKlizqEPLnQ2pwAQ4Z9VtQh5Nn7799X1CHkTfzxoo4gz04uWVvUIeRZiakLVVHHcCHS25ZfUM8vi5qq0/qCq2cX4N2CEOKC60QQQgghhBBCCCGEEEJcsKQjQQghhBBCCCGEEEIIIYQQOZKOBCGEEEIIIYQQQgghhBBC5OjCS6gthBBCCCGEEEIIIYQQ4vyhLriU/yKPZEaCEEIIIYQQQgghhBBCCCFyJB0JQgghhBBCCCGEEEIIIYTIkXQkCCGEEEIIIYQQQgghhBAiR9KRIIQQQgghhBBCCCGEEEKIHElHghBCCCGEEEIIIYQQQgghcuQp6gCEEEIIIYQQQgghhBBCXMAsGa/+byd/YSGEEEIIIYQQQgghhBBC5Eg6EoQQQgghhBBCCCGEEEIIkSPpSBBCCCGEEEIIIYQQQgghRI6kI0EIIYQQQgghhBBCCCGEEDmSjgQhhBBCCCGEEEIIIYQQQuTIU9QBCCGEEEIIIYQQQgghhLiAKVXUEYhCJjMShBBCCCGEEEIIIYQQQgiRI+lIEEIIIYQQQgghhBBCCCFEjqQjQQghhBBCCCGEEEIIIYQQOZKOBCGEEEIIIYQQQgghhBBC5Eg6EoQQQgghhBBCCCGEEEIIkSNPUQcghBBCCCGEEEIIIYQQ4gKmZLz6v92/viNBKVUFeB9ohJmB8SvwGNABmAbs9BU9orW+TCn1PJCotX4zF/seAfQGHMAF7gGeBGoCJYGIDPu/HxgNVARSgGBgFjBSax131r+oj3XNHah6LSAtBeeHCXBwV9ZClWpg33APBAWjt6zCnf4fs+2lN6DadIWkBADcP79Fb1lttomqit2zPxQLBa1xPnwWvGlnFatq3AbP7feCZePMn4E749vAAp4g7AGPYVWvi06Mx/vRaDgag9W+G9aVN/v3U6Um3peGoPfuANuD3XsIVv1moDXeqZ+hVyw4qzgzs66+A1WvuTnGP06Ag7uzFqpUA/uGweAJRm9Zjfvbf/zxtr8cq/1loF305tW4f3wNlo11/QBUpRpgWbirFqLn/VJwMV/XD9Wg6Pf/hwAAIABJREFUpYn52/Gwf2fWQpVrYt8yxNSLTStxf55ktr2mL6pha3C86KMxuN+Oh5MnoGpt7BvvSd/c/fM79Pql+Y/x+v6ohq0gNRXn6/eyj7FKLezbHjAxblyB+9On5vXQklh3DkWFRaKPHcL9YgwkJwGgajfG6tkPbA8kxeOMf9a/P2VhP/oa+ngs7sRX8h27atIGT+/7wbJw5s3A/e2bwAKeIOxBj/vr8gej4GiMqa93PYKqWQ9cF2fyePTmNWaToaOhTDmwbfSWdTj/eQ+0m+8Ys8TcuDX2Lfea+rbgd9yZ32WNud8wVLW66KR4nI9fgaOHzHuVa2D3fQgVUhy0i3f0w+BNw37oJVRpE7O7dR3ulPEFGrPVsz+qYUtTR74Zl0M9roV9m68eb1yJO83UEdXsYqwrboHIyjjvPgX7tpvX6zbDuqaPqR+OF/fX/6C3rSuwmE/RWjN64Ubm7T5MqMdm9KVNaRRRJku5t5ds4efN+zmeksbyQVekv34gIZmnZ68hPjUN14VHL6pHl+qRBR5nRnbbDoQ88BjKskj97SdSp0wKeD/4pr4EXd3LnBuOHyP5jRfQMQf9BYqXoOSkH/Au/IuT775WoLFZvQb4zhcpOFPGwf4dWQtVqYV9+4P+88XUib64SmLdMQxVLgIdexj3izfN+SKysjm/VKmF+9tk9Jxp/s+7dQiqURtIPI7zxiMF9ntorRk9bx3zdsWYenF5SxpFlg0ok5zm5dEZy9h7/ASWUnSrGcXQjo0AWLb/KK/MW8eWI/G82aM1V9atVGCxnTbm87wuq4atsG4abM5vf/+B/vP7wAIeD9YdQ1HV6kBSAs6nr0HsIaheD/v2B07txdSDNYsAsF+YCCnJ4LrgOjivP1qwMTdqjX3LPaAs3IUzcf/IfE72YN81HFWtDjopAeeTV0zM5SLxPPcRxOwDwN25GXfKOACs6+7Eat8dipfE++iNBRtvQR/jyMrY/Z/wbx9eAXf6l+g5P+crvkI5R+S037AI7H5PgFLm+jf/N/SiP6BYCPYDo/yfVyYcvWIevJO/9obVoj3B/R8By8L731/wTv0y8P1GzQnu9zCqem1Sxz6Hs3hO+nuqfBTB9z2JKh8JWpMyajj6cHS+4sgtu/XFhNw3DCyLtN+nkfrt5wHvB93Qm6Are4LroOPiOPnWi+hD0Vi16hHy4BNQvCS4DqlTJuGd92ehxnqK1ppR4z9l3j8rCCkWzCuPPUjjurWylEtNS+OlcZ/wz+r1WJbikX69ufKSizlw6DBPvv4eCYkncFyHYQP60qV963MS+ynqyt6ouk0hLRV32kSI3pO1TLcbUM06QGhx3FfvL/yYmrbF0/t+lK+d7Ez/OrCAJwjPoCewaph2ctoHL8MR00723P0IqkZ9096cPB69aTWEhBL09Fv+/YdF4CyahTP5g7OO9Vy3L+yRHwZeW956/Kx/h1NUtxtRNRuZujDzKzi0L2uZjtegGrWDYsVxxz0W+F69lqiLrwKt0Uf2o3/7osBiy6s7Jr5P02t7kHDoMC81vajI4shIa83ouWv9bbgrWmXfhvttKXuPJ/nacBUY2qkxAJ+t2Mb363fjUYqw0GBevrwVlUsXL/S41WW3oGo3MfVi+ucQszdrmc49UU3aQ0hx3LH+dq9qcQmqVVdzf5eagvv7V3D0YJbtC4rdsj3BA3zXvVm/kPZjNte9/g9j1ahNypjncBbNSX8v6M778bTuAJbCWbWU1IlvF1qcQvyv+Vd3JCilFPAj8IHWuqdSygYmAKOA6cB8rfW1+dz3xcC1QCutdYpSqjwQrLXu5Xu/KzA84/5NOPTRWi9TSgUDr2A6M7rk93cMiKlecwivgPPWMKhSG/u6u3E+ej5LOfu6fjg/fQL7tmPd+RiqbjP0VvPw0l34O3rhb4EbWBb2zffhfP+haYyGlgTHe5bBWnj6DCFt7FNw7Aieke/hrloMB/2NXavTlZCUSNrT/bDadsG+aQDOR6Nxl/yFu+Qvs5vKNfAMec50IgD2NbdDQhxpIweYG7oSpc4uzsxh120O4VE4bw83x/j/+uFMeD5LOfv/7sb5aaI5xncMTz/GqmZDVMNWOO+PMMewRGmz3ybtwBOEM+5pCArGfvBVnDWLIO7I2cfcoCWUr4Dz+kNQrS52r4E440ZkjbnXIJwfPoI9W7H6P4Wq3wK9eRV6yxrcGZPBdbGu6oPVrRfujK8gei/Ou0+ahm+pstiPvoGzcbn5Oc8xtoLyFXFeecDEeONg87A3c4w3Dsb59gMT48ARqAYt0ZtWYnXvhd66Fnf2VNSlvbAu7YU7/UsIKY51wyCcj182x7Jk6cDPveQadMx+CAnNc8z+nVh47niQtDefgNgjeJ4dh7tqERzIUJcv6WHq8pN3Y7Xrin3LQJwPRmF1uRoA7zODoVRZPENH4X3xAdMJNv5l02EDeIY8i9W2M+4/c/IfZ6aY7duH4H37afP9e+od3DVLAr9/Ha9AJyXiPDMA1aYL9g39cT5+FSwLT//H8U56A/btNN8xxwHAmfBKesz2PSNQrS9BL5tbMCE3aAkRFXFeffAMdWQQzncfZqkjOnoPzudvYN90T0B5nZSA8+mrEH8MKlTFHjQS56V7suz3bM3bc5jdcUn83rsza2LieGHeer65sUOWct2qR9CnSTV6TJ4X8PpHy7fTo3YFbmtSnW2xCdz72/LC7UiwLEIffpKkx+5DH46hxAdf4f17Lu5u/w21s20Tqff1gZSTBF13MyGDHyb5pSfT3y/W736cNSsKPDTV0He+GD3EPJS8aTDOO09mKWffdI85X+zegjVopP98cWkv9NY1/vNF9xtwf/0PnEjEmToRq0m7LPtyl/4FC2Zg936oQH+XebsPmXpxZ3fWRB/jhb/W8M2tnbOU69eyDu2rlifVcek/9W/m7Yqhc40oKpYKZfTlLZi0YnuBxnXamM/3uqwsrFvuwxk3EuKOYj/2Fs7aJRDtv1FWF18ByUk4LwxGte6M1fNu3Emvw4HdOK8/Yq5jpcOwn3oPZ92S9Oua887TkBRfcLFmiNm+7X68744w5+Qn38ZdszggZqvDlegTiTjPDUS16Yzdqz/OxFfNm0cO4h39YJbd6rVL8M75Bc8LnxR4vAV+jA/tx3n1If/xGPU5evWi/IVXSOeIHPcbf8z83/FCcAj242/jrF9qXh8zzP95j75h/q75YVkEDxpGyouPoI8eIuS1T3CWLkDv25VeRB+OIWXcKIKuuz3L5sEPjiTthy9w1yw1bZ58tNXyGm/IkMc58fQD6CMxFH/3c7yL5+Hu8Q8AcLdt5sT0OyElhaBrbqTYgIc4+crT6JSTJL/xPPrAXlS58hQf9x+8yxdBUmLhxgzM+2cFu/cfZOZn41i9cSsvvDuBb997NUu5Dyf/QHjZMsz8bByu63I8wcT2wVffc1WXDtz+fz3Ytnsvg0eMYva57Eio0xQVHoU77imoXAvrmjtxJ76cpZjesgq99L9YD+R/EE2uKYugOx4k9Y0nIPYwQc+9j7vyb3TGdnLnq+BEAqlP3IXVviuemwfh/eBlrK6mnZz2zCAoVZagYaNJe2EInEwm7dl707cPen487rKzHzhWFO0LwAxy8g3kKzA1G6HKRuB++hJUrIHV/RbcKWOzFNM71qNXzcfq90zgG2UjUO0ux/36LdPREVqyYOPLo0WffcWccRO4+4uPijSOjObtimF3XCK/33WZacPNXs03t2V9rNOvVR3aV40wbbgfF6a34RpGlOG727oQGuTh6zU7GbNgPWOvblu4QddqggqLxP3oWahUE+vK3rhfZB3so7etQS//C+ueFwNf37AUvWq++aFOM6zuN+F++17hxGpZBA8exsnnfde91z/B+0821733RhHUM/C6Z9Vvgt2gKcmP3glAyOgPsBq3xF2/snBiFeJ/zL99zsmlwEmt9SQArbUDPAr0B862u7ciZhZDim/fR7TWB3K7sdY6FXgcqKaUan6WsQCgGrZGr/I1ovZth5ASUDKwV5ySZc2sAt9oXL1qgRllebr91mmKjt7rH9GSnAhan12sNeujDx2AI9FmFPA/c7BaXBxQxmpxMe7fZgSSu3w+VoMWWfZjteuGu9T/oNLqdCXOb75RLlpDYsHe8KuGrQKPcWhxKJlpJGbJMlmPcUNzE6HadUfP+9XfEXPqgYTWEFQMLAs8web9lOSCiblRGzMCDmDPVggtAaUy1YtSZc2N5Z6tJpwV81CNTUNGb12TfsOp92yBsuXMNmmp/htRT9BZ1QnVpC16+dxcxFjcH+PyuaYDBlCN26KXms4lvfQv/+utLkGvXeLvkMlYH8qUQzVqhV4yK99xA6havrp8OENdbhn4UM1q1QF34R8AuMvmYTVsabatVB29cZUplBAHJ5JQNeqZn30P5LFt8HiAs/vOBcRcs17g92/ZXKzmgaN7VPOL0YvNsdEr5qN83z/VqDV6/07TiQDmxufUrINTMVu2qRMFGXPjtuhlc8wPe7aaunCmOrJsTno95tB+OJzNKfrATtOJAOYhWFCwmZ1QwGbvOkTP+pVRStG8QhgJKV4OJ53MUq55hTAiSoRk3YGCxDRz3khM9RJZvFiBx5iR3aAJ7v696IP7weslbfZMPB26BpRxVi2DFPM7OBvWoCKi0t+z6jbECgvHuyx/DwJPRzVp568Lu7f4zhdhgYVKhZnz8O4tgK8uNG3v336p2V4vnZN+viDxOOzdBq6T9UN3bIATBXyTD8zeEU3PBlVMvahYjoSUtCz1IjTIQ/uq5QEIti0aRZQhJtGUqVy6OPXLl8EyAxXOifO+Lteohz5y0Mz6cry4K+ahmmU6vzW7CHfJfwHQKxeg6vuaYWkp/utaUPBZt3VyS9Wohz6c8Zw8D6t5YJtINb8owzl5AarBmZuOeudm//mtIBXyMVb1m8Phg3DscL7CK6xzRI77dbz+dp3HYwayZBZR0bQPd2zI1+9k1WmIjt6HjjkAXi/eBf/FbntJQBl9OBq9e3uWY6qq1DAzJdb4Zo2eTIbUlHzFket46zfGPbgXHW2uId65f+K5OPABm7NmOaSYOJxNa7HKmw5FvX8P+oDplNKxR9Bxsagymf5+heS/i5bS87IuKKVo0age8YlJHDqa9Tv048zZDL7tBgAsyyKsjG9gkFIkJpn2e0LSCSLDy52TuE9R9VuiV/9tfti/A4plc59y6r3E4+cmplr1Tb09fNCcL5bMwWrZMaCM3bIDzgJfO3npPKxGpp1sVaqOG9BOTiS9nXxq/1GVUaXKoresPftYi6J9UUhU7aboDf+YHw7uMjGXKJ214MFd2XaQq6YXmwfGp+5Hkwu/I+90ts3/mxOxhXA9Owuzd0TTs2G1XLThIgBfGy6yDDGJ5pi2rxpBaJC552hWISz99cKk6jZDr/N1aB/YmXO9OLAz+4ETqf7fTxVyO8mq2xD3oP+65yz4L552ubvugYbgYHNN9gSB7UEfjy20WIX4X/OvnpEANAaWZ3xBax2vlNoD1AEuUUr5Wid8p7UelXkHp/EH8KxSagsmRdE3Wus8Db3VWjtKqdVAA2B1XrbNVqkw9PGj/v3Hx0LpMEjMkDmpdJh5/VSZ47GoDA0k66LLoWUn9P6dZtT5yRMQXgHQWHc9jipRGnfNIvSC6WcXa1g4OuMN4rEjqFoNMpUp7y/jumZqaMnSAQ+Drbad8Y573vwQWgIA+/q7UPWbweGDeCe/D/EFljnKHL/jgceP0uUCG+OlywUe4/hYVGlzjFV4BahRH+uym8GbhjNzMuzfiV6/FNWwNfbj70FQMXPsfdPoz1qZcugMMxt03FGTMichLrBMxroTdxRVJuvNj2p7qf8GBaBqHeyb74OwCNyv38v/CLfMMR4/CmXCM8UYbmLPLsZSZf1lE+LSHzCriEpg29j3vQDFQnHnT0/vsLB69jcjDIudxWwEMPU0NkNdjj2Cqp2pLpcN95fJUJf13u1YLS/GXTIbykWiatSFchGwczMAnmGvoGrWx127FHfp/LOLMyCe8gEPaPSxI6ia9QOKqLLh6NgjGWI+ASVKo6Iqg9bYD72MKlUGd+lc3D/8KS3sh15G1aiHXr8MvbwA04pl/vsfjz1zHTkeiyoTnuuPUM0uQu/befYzrrJxKOkkFUr6H6pGlQwhJikl+wet2XigTR0G/rqUr9buJjnNYeJ12Y9qKyiqfCTuoZj0n/WRGOyGTXIsH3z19Xj/WejbWBFy31CSR4/A07p9wQdXOqdzWoYbzOzOaaUzni98ZROOZe2QOocOJZ6kQin/OSiqZCgxiSdzrBfxKWnM2RnDHS2ypto4V873uqzKhAc+gD52BFWjfkC3ZkCZDOc3kuLNKNS+D0O5SNzPx/qva1pjP/AiaHAXzkAvnFlwQZcNh2MZ6nRO5+TsYgYIr4Dn6ffQySdwf/kCvW19wcWWjUI7xqe2bd0Zd3ngTJY8KaxzxOn2WzYce+AIKF8R95fPs3TgqJad0KsW5vtXUuUi0EcO+T879hBW3ca52taqVBWSEgl+bDRWZEWctctI+/KDQp2VYIVH4B72X0PcIzHY9XO+hgRd2RPvsr+zvG7VawSeIPTBrClZCkPMkVgqRpZP/7lC+XBijhwlMtx/rxSfaNrn73w+haWr11O1YgWeeXAg5cPK8sAdtzLgyRf5ctpvJJ9M4dPXnjsncZ+iSoXhZrgHISHWPPg+R50G2cYUVh4dm6HuHjuMleWeL/t2srtnh2knLz7VTq6HCo80naQ+VvtuOAU1Y7co2hdaY9/zHGiNu+gP9OKCSeOlSpbBzdhGTowznUq5nFWnwiLRgHWrSSvjLpoBuzYWSGz/FocSk6lQMmMbLoSYxOTTtOFSmbMjmjta1M7y3o/rd3NJjahstipYqlRZ3Iz1+dR9cx5mW6pWXVBtLzMd1FMKL11Qluve0UNY9XJ33XM3r8ddu4Lin/4MKNJm/IDel006aiFEvvzbZyScyXytdQvff3npREBrnQi0BgYDh4FvlFJ35yOGczeM8AzcJbNwxg41aXcS4rCu6mPesGxU9Xq4343H+fhFrEZtULVydxIvTKpmfXRqCvqA76Jg26hyEbjbN+B96QHc7Ruxbx5UtEFmZtkQWgJnwvM4M6dg3+pLRVCllsmR//pDOGOHYnW8CsIiijbWTNSlvUwe25UZHmjv3YYzdhjOe09hdevlG4V+Hjg1KsGyUVVq40wcjfPxS1iX3wzlK5oZIonHYV82eU/PIXf+7+jYw3ieG4+n933obRsCbuy9Y54i7ZFbUZ4gVMOsM3KKhGWj6jTGmfg63teHo1p2SJ+tAOC8OxLv433AE5SrEbPnjagqWFf3xf3h/JkyndH0bQe5vn4V/rrzUj68pg1P/Hc17jkaLX0mQZddjVWvEanfmPzXQT1vwbtkQUDj/7x2nhzHM/G6LsN/X07f5jWpWqZEUYeTb+dzXQZg9xacUUNwXn8U64qb069rzltP4Lz2CM7457AuuRZqF307CID4WLwj7sI7+kGcHz7G7vf42aXrOxdyOMYA2B5U03bolQW7vtVZyU39jDuK8+ZQnNH3Y7XtlmUUuNWiE+7KAhwQkBeWjdWwOWlfjOPkEwNRUZWwu11dNLFkw3PpVdh1G5L6/X8CXlflwgl9/EVOjn3xvDpPO45D9OGjtGzUgB8/eJMWjerx+kfm+jf9r/n0uqIbc6d8zEejRvDEa+/iFnYaqX8xd/4MdOwRgp4fj6f3/bhb12cZ1W+174a7+K8iivAMclFvnXEjcMYOx/n4ZaxOV0GtRucgsFywLFRYBO537+JO/wzr8tvM6HWRL17XZfiMZfRtUStLG+7nTXtZdyiO/q3qFFF0eaNXzMX96Bn0nKmoDlcVdTjZUhUqo6rU4MTAXpwYeD1209ZYDS+g+1IhznP/9hkJG4CbMr6glCoNVAO2AVdkt1Fu+VIlzQHmKKXWAncBn+V2e9+aDU2BLN37SqnBmE4Kxl/VjkGt6ma/j/aXYbXpZuLZvwNVJjx9RJgqXS7rlPb4Y/5RE2BGdJ/qlc7QE+0u+wv7Dl9e1/hY9K7NcMJMaXS3rIZKNWDHWYx4O3YUlfFBeVh59LFM6wEcO4IKizCvW5aZcZBxNkK7roE54xPj0Skn0SsW+n6H+Xg69ch/jD6q3WVYbboCp45xOf8xLlMO4jNNk4uPDTzGGf4OOj4WvWGZeWP/DpMSpngprGYdfCmEHEiKR+/egqpcM3DWRl5ivvhKs8AioPduR5Utj8aM3lFlwyHz1L5MI7czl1Gtu2A1bI0zITBPYrpD+9GpJ6FC1Vw/nFcde5hFpwG9d5svRt97ZcIhw2gfE+NRE1d2MZ4aTXHq/76RV/r4UZOOJDUFUlPQOzagKtVAVamFatwWu2Er8wAjpDhW74dwJ7+bq9gDHDuCKpehLpfLpi7HHTWjKrKpy87XH6YX84x4Gx2TadSdNw135d9YrTrgbCigfPNxRwI6qlRYeYgLPN467iiqXHkzMsuyTBqvpHj0sSPorevSzxd67VJUtdroTav8G3vTcFcvNqk4NuY/F6Xq0CNTPQ4P/O6dqY5kVyY7Zcph3/24WeT7aMwZi+fW5HW7+W6DSc/QNLIM0Yn+6cAxiSeJKpH7lC4/bNzHhGtNGroWFcJI9bocS04lvJBSHOkjh7Ai/SOjVPko3MNZz0d2q/YE9xnAiUcHQloaAJ5GzbCbtiS45y0QGoryBKGTk0n5OB/fr1Of37GHmTFHNueL3J7T4jOeL8J8owXP/UjNyat38t160wHeNKos0Qn+qewxiclElcx+JNtzs1dTvWwJ7myZdSRbYbuQ6rI+nk37ItN5QB8/as6BcUcDzm8BYvahU5KhUnXYs81/Lkk8jl6zCFWjHnp7AY38jzsKYf5R0Dmek8MizAjZzDF7fWm39mxDHzmIiqyC9qV4KwyFdozxpc/buz1wtlkunJNzRHzsmfcbfwx9cA+qVqP0hbqpVMMMJDmLwQs69rBZKPnUZ5eLRB/NXRtRHz2Mu2urSQ8BOP/Mw6rbmMJMsuIePUxQxnR35aOyjddu2Y7g2/qR/Ng96dcQAIqXIPTFt0n5bDzupnWFGCl8NW0G3/1m0oY1rV+Hg4f8bbjoI0eJKh84s7Fs6VKEhhTjik5mxl2Pzh344XeTxuuH3//Lx6NNrvmWjeqTkprKseMJhIdlk16ogKg2l6JambV19IGdqNL++xRKZRpNXwT0sSOochnqblgE+limttmx07STp3yQXleDRryDjva3k1XVWmDb6N35P98Vefvi1P4Tj6PXLkFVq4vOZwo01fwSVFOTFk/H7DEpn069WbJsnto7OiEOonebAU7xsXDsEJSNgJisi3f/L5m8egffrdsFQNOoMKITM7bhThJVMvvOluf+u4rqZUtyZ8vAzoK/9xxiwj+b+fymSwj22IUSs2rVBdW8EwD64G5UqbAM54iyeb7enqI3LMO6ojeazwsm0Mz7z3zdC8/9dc9zURfcLetNKj/AWbEYu35j3I1nnwRE5MI5TLkqisa/fUbCf4HiSqk7If3B/RjMw/4TZ7NjpVR9pVTGp/stgFzPl1JKBWEWW96rtV6T+X2t9QStdRutdZucOhEA9JJZOO+PwHl/BHrDclQLc5GgSm1IORGY1gjMzynJ5n1AteiE3ujL/pRhPQXVqE36A029dQ0qqqrJZWtZqJoNTL7xs6B3bTYpUspHge3BatcVvTpwATp39WKsDqZhZ7W+BHdThhO/Ulhtsi4+665ebNIaAVbDFnDw7Kew6X9m4YwfiTN+JHpjpmN88kTWRlni8WyOsXkArDcuR9VsaMqFVzC52E8koI8fQZ0agRJUDFW1DvrwwfzHvGgmztuP47z9OHr9P+k3GFSra9ILZG4wJMSZC201U9dUq87pHR6qXnOsrj1xPnvNrItwSliEaewDlC2PiqwEsbnv+NALfzcjcMYOR6/7B9W6iz/GkznFeMIfY+su6HUm369evwzV1nSoqbbd0Ot9r6/7B2o2MHEGBZvG+aF9uL99hfPSYJxR9+F++RZ629r8dSJgclCryMpQvoK/Lq8MzAvvrlyE1dH0W1ptOvvzvQYXg2Dz0FA1amUWLT6wB4qFmKnUYL5zzdujD+6loOhdW8zfK9z3/WvTBTfT90+vWYy6yHT0qFaXoH3fP71hOapyjfQ1PVS9pmbBvGIhJpWaL2araVuIPrtUBPrv33HeegznrcdMPfZ16OW6jrTpml4XchRSHHvA07jTv4Jdm09fNo96N6nO1Fs6MfWWTnSvGcW0zfvRWrM6+hilinlynQoGoGLJEBbvMzfe248lkuK4lAsNLtB4M3I2rceqXA1VoRJ4PARdeiXeRXMCylh16hM6dATJIx9Fx/kfVCSPHkHi7VeT2PsaUj58i7Q/fz2rTgTwnS/GDMMZMwy9NkNdqF7PVxcyPShJOGbOw9VNLmXVpqs5H4BJJdfWbK/a+l8/V3o3r8nU3l2Z2rsr3WtVZNqmfaZeHIylVLGgbOvFO4s2kpji5anOOacGKUwXVF3evcWktTt1fmvVGb1mSUARvXZJeielatkJvcXXDAuP8l/XwiJQFarA0UPmXH1qJGZwMbP4+4GCmyKvd2c+J3fOsiivXrMkwzm5E3qzL+aSpUH5Yi5fARVZyaxfUJgK4xj7qDZd0PlIa3QuzhF63dLs91sm3LSRAUJLoGo2RB/2t5Otlp0CZ3Pmg7ttE6piFVRkRfB48HTqjpPLxWXd7RtRJUpCadPOt5u0DlissjC4mzdgVaqGijLXEE+Xy/EuDvy7WrXrEfLgUyQ/Pwx9PMPfx+Mh9Jk3SJv1G94Fsws1ToA+Pa/ip4/G8NNHY+jesR3TZs1Fa82qDVsoVaJ4QFojMOsgdLuoDf+sNh2Ji1auoXa1qgBUjIxg0UpT17fv3kdKahrlymaTf7wA6WWzcSc8jzvhefTmlagc3GEPAAAgAElEQVTmvnW6Ktfy3QsWXVoj8LWTozK0k9t3xV0ZmMbKWfU3didfO7ltDu3kxq3MzOiMizRfdKlJe3Q28RVl+yK4mGk/+/6t6jX3r0mYn99l9XzcL1/H/fJ19LY1qEa+1IEVa5jc9nlIX6O3r4UqvofeISUgLBKOHzn9Rv8DejevxdQ+lzK1z6V0r12RaRv3ZGjDZd8eeufvDSSmpPFUl6YBr284FMcLs1cx7v8uKrSBQeCbQTBpFO6kUeitq1BNfGsaVapp1jrLQ70gzP9gnzpNTAdTIXG3bsLKcN2zO3XHuzSX173DMdiNW5hOfNvGbtwCV1IbCVFglD6PpooWBqVUVWA8Zh0CC/gNGA5cDAzXWl+bqfzzwCNA+opCWusq2ey3NfAeUBbwYmY4DNZaH/G93zXz/pVSczCLNKcAxTBrK4zQWp+2G9g7sm+u/0jWtXeh6jWD1FScHyeYhXIAe8gok7IIoFJN7BsHQ1Awestq3F+/MNvedC+qQnVAo48dwZ32aXpHhGreEavz/5n3tqzGnfl1jjG40bl7mKyatsVz671gWTgL/8CdPgW75524u7aYTgVPEJ6Bj6Oq1UEnJeD9aLRZiBBQ9Zth39Af7yuPBO60XCSegY9D8RKQcBzvpDG5erhtVYw8Y5n0stfeharbFNJScX782H+M738ZZ/xIU6hSTewbBkNQEHrLGtzp5hhj21i9Bpnj7Hhxf5+C3rkBgoth9RpsHiSgcFfMQy/8LecgUvK2SJ51/QCzeGFqKs5349NHxdmPvI7z9uOmUJVa2Lfcb+rFplXm7w/Yj79rFiryzUjRe7bi/vgxqtUlWF2vN7MotIs764fTP7R1Tj/2zbphIKp+S0hLwfn6/fTFqu2hb+KMHe6LsTb2bQ/4YlyJO/UT83rxklh3DkOVjUAfO4z7xZj0RcFU154mzYDWuEtmoecHru+hajdGdb0Od+IrWWJyY3OZR7RZOzy332fq8vyZuL9Oxr7+LlOXVy0ydXnwk2bkflIC3g9HmcWZw6MIGvYKaPOd804aYx6olC6L55GXzWwJpdCbVuNMOXM+YxWc+0lmqklb7FsGg2XjLvwDd8bXWP93B3r3FvNAyBOE3f8xVFUTs/PJq/7vX/tu2D1uNcd03VLcHz+FUmWxH3gB5YvZ3bIG99uPzhxzqdynaLF6DUTVb2HqyDfj/XXk0Tdw3nrMFKpSG/u2IeAJRm9eiTt1ou/3bYd1/QDz0C05CX1gF+7HL6O634jVvZdZBNDH+fil0y7UrqpkuSSckdaal+dvYMHew4R4bEZ1a0aTSDNCsde3C5h6i+mgfHPRJqZvPcChpBQiSxTjxoZVeaBtXbbFJvDc3HWcSDPfo+EX16dj1dylP0v6OU/L96TztO9EsfuHo2yL1BnTSP1qIsXuvg9nywa8f8+l+BsfYtWsk76WhnsomuSRgefkoCv/D7t+I06++1qePrt4i5qnfd+6YZB5mJuWgjNlnL8uDBuDM8Y3m65KbezbH/SdL1bg/pjxfDHc5G0+db44kWjq8KNvmLQwWkPKSZzXHoKUZKy+j6LqNIESpSDhOO7Mr9G+hWRPUbXzPlNAa83Lc9ayYPchQoJsRl3WkiZR5mFfr8lzmNq7K9EJyVw66U9qhZUkyDYPYPs0q8lNTaqzNuYYD/26lPiUNII9FuWLh/BL3265+/CMo3/zGnMR1WW9bVuuyqlGbbBuGgTKwl38J3rmt1jX9EHv2Ype+w94gsw1o2otSErEmfQaHI1Bte2GdcVN5nqlXdwZX6PXLIbwKOxBvuu7beEum4ue+W3uYnZyl9ZENW6DffM9Jhf133/g/v4N1rV9Tcynzsl3Dzfn5BMJOBNfgyPRqJYdsa/ta9Z20Rrn1y/N7whYvfpjte1qOqaPx+IunGk6TU8Xh527MUYFfowBgothvzQJ57mB5gFebgVn7YgqlHNEDvtV9ZpjXXdX+me7C2YE5Dm3R4zH+XhU+iCc1N35m/lmtbqY4H4PgWXjnf0r3h++IOi2gbjbNuEsW4BVuwHBT7yCKlEK0lLRcbGcfKSv2bZZW4LvfgBQuDs2k/rha+DN/XpATlLqmQtlYrftQMg9Q8GySfvjZ1K/nkTwHffgbN2Is3geoa+8j1WjNjrWdCzqw9EkPz8Mz6VXETL0Wdzd/hkcJ8e8gLtjS54+v+SESXmOWWvNS+99wvxlKwkpVozRw4fQtL55mHr9PcP46aMxAOyPOcQTr71LfGIS5cqUYfRjQ6gUGcG23Xt5ZuwHnDh5EoVi+KA76NQmd6kp3c/G5jne7Kir+qJqN4G0VNyfPzWL6QLWYNPZAKAuuxnVpH36aGS9cj567rQ8f5Z3R+4eelvN/p+9+46uotrbOP6dOekkhA6h945SFBClSRErIogIlqsiFrxXUKxgQQW81msXLBSl2WgWmggBAUHpCNJDgBQIBNLLmXn/mEASkgMEc3LA9/msxVpkZs/Jk2TOnD3zm72nLa6BD2OYJu7l83HPm4arz93Ye3dgbVgF/k4/2cw558v6aIzTL6tQGf/HX3VGcB9LIOvzN/IVHgNe+4Kst58t0s02rnJnLuyUaP+iVGlc9z6V841NrHXLsRd/my/P+fQ5T2179a0YtZtAdibWgqkQ5/yezDuexPryNadNx5swGl926jmE9pZV2Kt+ctZ17uNsb1vYvy3E/uvcRkYPfXzSeWf25L5pn9Owy1WEVijPibh45r0wlpWff3H2Dc/RBx88VORtnD7cJlZExRHk58eYHq1oXtkpPPaZuoRZg652+nCfL8jfh7u0Lv2a1+be735l55ETVMgZ1Vk1LIQPbmp/bt/8xPkXCI0eA5xpqrMysX6cfKp4Zd4zEmuiM9u30eUWjKaXQ1g4JB3H3vQr9orvMbr3x6jV2Dn/T0/FWjQDzvHmhfTfiv5AdFfrKwi4L+dz7+fvyfpmCv6353zurV2BWb8xgU+NwwjN+dw7dpS0R+8A0yRgyONOMcG2ca//jcyJ7xX5+5ea9aturT8P9v4t/+yLzMXMqNn8otvP/vGFhH+CohQSLgTnWki4kBSlkHBBKGIh4YJwlkLChehcCwkXiqIUEi4URSkkXCj+zkmdL5xvIcGXzlZIuBCdTyHBp86zkOBL51pIuJCcayHhQnGuhYQLSiGFhAvZ+RYSfOl8Cgm+dj6FBF8qrkJCSTrXQsKF5GyFhAvNxdbnBO8UErztfAoJPvU3Cgm+cj6FBF9TIeH8qJBQNBdjIeEiPFsQEREREREREREREZGScvHdvlrCDMMoj/OshdN1s237HJ7iKSIiIiIiIiIiIiJy8VIh4SxyigXnNrmliIiIiIiIiIiIyP87F91MPVJEmtpIREREREREREREREQ8UiFBREREREREREREREQ8UiFBREREREREREREREQ8UiFBREREREREREREREQ8UiFBREREREREREREREQ88vN1ABERERERERERERG5iBmGrxOIl2lEgoiIiIiIiIiIiIiIeKRCgoiIiIiIiIiIiIiIeKRCgoiIiIiIiIiIiIiIeKRCgoiIiIiIiIiIiIiIeKRCgoiIiIiIiIiIiIiIeOTn6wAiIiIiIiIiIiIichEzDF8nEC/TiAQREREREREREREREfFIhQQREREREREREREREfFIhQQREREREREREREREfFIhQQREREREREREREREfFIhQQREREREREREREREfHIz9cBRERERERERERERORiZvg6gHiZRiSIiIiIiIiIiIiIiIhHGpFwEUhdudXXEYrEVTrY1xGKLKjDFb6OUHTxsb5OUCTJC1b7OkKRhfbt7usIRdPkUl8nKLINd47ydYQiCwz8w9cRiqTJ4ItsPwasqGhfRyiyKc9M8nWEIrmxSSVfRyiycnf08nWEIjNq1vN1hCJxz5vj6whFZgYE+DpCkQSPe9vXEYou8OLr27vfeNbXEYpk9cx1vo5QZFe8M8zXEYps+7Mf+jpCkWRmXFx9ToAPPnjI1xGKbOjQj3wdoUg6hwf5OkKR3bbkS19HEJFiohEJIheji6yIICIiIiIiIiIiIhcvFRJERERERERERERERMQjFRJERERERERERERERMQjPSNBRERERERERERERM6fYfg6gXiZRiSIiIiIiIiIiIiIiIhHKiSIiIiIiIiIiIiIiIhHKiSIiIiIiIiIiIiIiIhHKiSIiIiIiIiIiIiIiIhHKiSIiIiIiIiIiIiIiIhHfr4OICIiIiIiIiIiIiIXMcPXAcTbNCJBREREREREREREREQ8UiFBREREREREREREREQ8UiFBREREREREREREREQ8UiFBREREREREREREREQ8UiFBREREREREREREREQ88vN1ABERERERERERERG5mBm+DiBephEJIiIiIiIiIiIiIiLikQoJIiIiIiIiIiIiIiLikQoJIiIiIiIiIiIiIiLikQoJIiIiIiIiIiIiIiLikQoJIiIiIiIiIiIiIiLikZ+vA4iIiIiIiIiIiIjIRcwwfJ1AvEyFhH8o1+UdCHrkCQzTJPPH2WROn5hvfUC/O/C/rg+4s7GPHyPt9dHYcTEAhC36HWvvLgCs+FjSRg0rmcyt2hEweBiYLrIXzSPruy/yrTebtiTgvkcxa9cj440XcK/65dQ6/7sfxq9NBzBM3BvXkvnp217Pa9s2Y39eR+TuQwT7uxh7XXuaVimXr01aVjbDZ/9KdGISpmHQtX41HuvS8tT6n7bt54NfN2MAjSuV5fWbOng9t9G9P0a95pCVifXDZIiLLtimU2+M5u0gKATrrdy/v9GyI0brLmBbkJmBNX8qJMR4Lavf5R0IeuRJcJlk/TCLjNP341vvIOC6PuB2Yx8/RuprL57aj0sv/iN3P46LIbWE9uO8bNtmbORWIqPiCPZzMbZ7S5pWKpOvTVpWNsN/+oPo4ymYpkHX2lV47MomJZ/z64VEbt1FsL8/Y++6kaY1Izy2H/rRTKKPJDL3uQfyLZ+4eDWvf7eYX197jLKhIV7LW7pLZ2q8/AKYLo5Mn0Hc+x/lW1++fz+qPfcsWbGxAMRPnELCtBkA1J86mVKtW5G85nd2332v1zKeLrRTJyJeeAFMk2MzZ3Lk448LbVe6Vy9qfvQRu266ifTNmwnv3ZsKQ4acWh/UuDG7b7iB9G3bSiS30XMARr0WzvHi+4kQu79gmy43Y7S4wjlevP7v3BU1GmD2vA0qVceaNQG2r/Nu1mZtcN32EJgm1or5WPO/yt/Azx/XPSMwajXATjmBe8I4SIjDaNsV1zX9cttVq0P2K4/AgT1ezQtQrfvVtP/vGAyXix2Tv2TT2+/mW9923MtEdLzKiR8STFCFCkytWR+Ay0Y/R41regCw4bW32PvdbK/nBfBvfxWhjz2NYbpIm/staVM+zbc+qE9/gvvdDpaFnZZK0rgXce/djVE6nNKv/g//Js1J/2E2yW+MKZG8tm0zdvlWIqPineNwt5Y0rRReoN3/Vm1n7l8HOJ6RxR8PXHtq+cETqYxaspFjaZmEB/rz356tqBIa7P3Mc5cRuX0fwf5+jO3fk6bVKxVoN+TT2RxOSiHbsmhTuyrP9emKyzTZdugwo79bQkZWNn6myXN9unJJzSrFmtFodhl+tz8Ipgv38p+wfirk/XbfE5i1GmAnnyB7/FhIiMNs1xXzmltzX6d6HbJfHoodvQfz8s6Y1w8Aw4W96Tfc337293M2boV5873OcWH1Yuwls/I3cPlhDnwUo0ZdSEnCPeVNOHbY2bbbLZjtuoFlYc36DPuvDXle2MQ1/DXs40exPhsLgDloGEaNek6fZP9OrK8/Bsv9t3+Gk2zbZsyEL4j8YyNBgYGMe3QIzerXLtAuMyubl8dPZs3m7ZiGwbA7b+WaKy9nxk8/M/WHxbhMk5CgIF565F7q16xWbPk8Zv7wcyLXricoMIBxIx6hWYO6hWTO4uX3P2PNpq1O5nsGck3H9hyKP8zTr79PUnIKbsvi8fvuoHPb1sWa0WjSGvOWwWC6sFYtxF78bf4Gfn6YdwzHqFEfUk7gnvQ6HI3HaNQS86a7wOUH7mys2ZOwd24C/wDMe5/CqBDhHAe3rMGaN6VYM+dVpmsX6r4yGsPlIm7qdA6890G+9ZVuu5U6z48iI6dPFPP5JOKmTif8yg7UeemFU+1C6tdj+4NDOfrTAq9lhZzj20+riNwZ7Rzfbu5M06oVCrQb8sVPHE5KdY5vtarw3PVX4jJNXl/wG0t3ROHvclGjbBhjbu5M6eBAr2YO7dSJKs8/D6ZJ4ldfeezDhfXqRc0PP2R3796kb94MQGDjxlR95RXM0FCwbfb07o2dmenVvAVydelM9ZdewDBdJEyfQdwH+fvN5fr3o+qo3H7zkYlTSJg+o0Qz2rbN2GWbidyXc87Us3Xh50w/rnXOmQyDrnWq8NhVzQCYtG4X32yNws8wKBscwCs9WlOttPfORc7mzs8+oMUNvUiKP8zLLdr7LMfpIrp1pfWrTr9z95Qv2fa/9/KtbzX2JSrn9DtdwcEEVazAt7UaAHBbQgzH/3TOP1IOHGD57Xd5Pa9t24yd/C2RG7YSFBDA2IfuoFmdGgXa3fXSOxxOPEFQgD8Anz4zlPLhYcxatprXp86hcjmn3zewZyduvdr711tE/un+sYUEwzDcwOY8i24GagNzgD1ACBAHvGbb9vd5tvMDYoDPbNt++izf4wbgZZwpovyBd4AKwMkzpBZ5MnwOlAPuBw4DpXLWjbJt+8/z/TkLZZoEP/o0KU88hH04jlIfTSV75TKsqNyLIu5d28l8aBBkpON/060EDXmUtJdzftzMDFKGDCjWSOeSOeCBEaS/8Ch2QjxBr39G9prl2Af2nWpiH4kl491X8L95YP5NGzXH1fgS0oY5H2ZBYz/GbN4Ka8t6r0aO3BND1NEk5g+5gU2HEhi98Hdm3tWzQLt72jamXa3KZLrd3DvjFyJ3H6JTvarsO5rEJ6u3MvWOHoQHBZCQku7VvADUbY5RthLW+Oehah3MawZiTflvgWb2rk3Yf/yC+cBL+Zf/uRZ7w3Lni/qXYHbrh/XVewW2LxamSdCjz5DyxIPYh+MI/XgqWafvxzu3k/ygsx8H3HQrQQ8MI+2lp5yVmRkk33+bd7Kdo8ioeKISk5l/59Vsiktk9NLNzOzfsUC7e1rXo131CmS6Le6dtYrIfXF0ql255HJu3U1U/FHmv/gwm/YdZPSMn5j5ZOEX2Ret305IYECB5TFHj7Ny2x4iypX2bljTpObYl9kxYBBZMbE0/nEuxxcsJn3nznzNjs39nuiRzxfYPO6jCZjBQVS4Y5B3c+ZlmlR96SX23nkn2bGx1J0zh6TFi8nYtSt/s1KlKH/PPaSuzz12HZ8zh+Nz5gAQ2KgRtcaPL7EiAvWaY5SrhPXRSKhaF7PXIKxJ4wo0s3dswv79F8yHXsm/4sRRrHkTMdpd4/2sholr4FCy334Wjh3B79l3sTauhpjcwod55TXYqcm4R92LcXlnXLfci/uTcdhrfiF7TU5hulpt/B5+vkSKCIZpcsWbr7Kg962kHDzETUsXsv/H+ST+teNUmzXPPHfq/00eGEz5S1oAUP2aHpS/9BJmX9kVV2Ag1/44mwOLFpOVlOzd0KZJ2BMjSfz3/VjxcZSdNJPM5b/g3rv7VJOMhT+QPsu5qBzQsSuhjz7J8WEPYGdmkjL+Pfzq1sevXgPv5szDOQ6nMP+Ors5xeNlmZt56VYF2XetUZtAlten15S/5lr/+6zZ6N6rOzU1qsPrAEd5etZ3/9mjl3czb9xF1JJH5T97Npv2xjJ61hJn/Ltgve+uOawkNCsS2bYZ98QMLNu3kupaNePOHFTzcvR2dGtdm2ba9vPnjCiY/2K+Q73SeDBO/QUPJeusZ5/026j2sDae93666BlKSyXr2HszLO+Pqdx/u8WOxfvsF6zfnd2xUq43f0Bewo/dAqTBc/QaT9fIjkHwc170jMBq3xN6+wVOKc8pp3nI/7o9Hw/EEXMNfw711LcQdyG3SrjukJeMeOxSj5ZWYN9yF9cWbULk6ZqurcP/3UQgvh+vBF3GPe8S5kQIwOl2PHX8AAnMvVNnrIrGm/s/5+e8YjtG+O/bK4rsoG/nHRqIOxbFg/Bts/Gs3oz+ayFdvji7Q7uOv5lA+vDQLxr+OZVkcT0oB4IbOHRhwbTcAlvy2jlc/m8qno58stnyFZl67nqiDMSyY+B4bt+9k9LsT+Oq9Vwtmnv4d5cuEs2DiezmZnWPZR1O/5dpOHbj9xmvYFRXNkFFjWfLFRwW2P2+GiXnrA7g/eB4SE3CNeBP3ljUQm3uTjdG+B6Qm4375AYzWHTFvuhtr0utOQXr8K3DiKETUxPXQaNzP3wOAvWQ21s7N4PLD9cjLGE1aY2/zQjHdNKn36its6T+QzEMxtFzwAwkLFpK2I3+f6PCceex5dlS+Zcd/XcmGbs7ns1+ZMrRZvYLEpcuKP+NpIndGE5VwnPn/6c+mA/GM/n4FM4fcXKDdW7d2IzQowDm+zVzMgq17ua5FPTrUq8bw7pfj5zJ5c+FvfLJ8A4/3bOe9wKZJxOjR7LvrLqcPN3u25z7cv/6Vrw+Hy0X1t97iwGOPkbF9O64yZbCzs72X1UP+GmNeZtftTr+50Y9zOb6wYL85ce73HBhVsN9cUiL3xTnnTHd3Z1PsMUYv2cjMAZ0LtLundX3a1ajonDN99+upc6YmFcP5ekBngv39mLFpL2+u2Mpb113ug5/EsWrSVJa+P4F/TRnvswynM0yTNm/8l19uvpW0Q4fo+ctCDv60gBN5+p3rn83dBxoMuY9yOf1OAHdaOvM7Xl2imSM3/ElUbDzz336ejbv28dJnM5n5yohC274+9G6a16tZYPm1V7TiuXv6ezuqyP8r/+RnJKTZtt0yz799OcuX27bdyrbtRsB/gPcNw+iWZ7sewA7gVsPwPCbHMAx/YAJwo23blwKtgKW2bY85+T1Py3DyNsO3c75uAMwElhiGUbE4f3BX4+ZYB6OxYw5CdjZZSxbg16FLvjbuDb9DhnPh2v3nJoyKJXfRsjBmg6ZYMQew4w5BdjbuFYvxa5f/gqsdH4sdtfvUSVw+AQHg5wd+/uDnwk486vXMS3YeoHfz2hiGwaXVKpCUkcnh5LR8bYL9/WhXy/ndBrhcNK1clrikVAC+2biLga0bEh7kXJQtXyrI65mNBpdgb1ntfHFoLwQGQ6lCLvwe2gspJwouz8wtdhj+AWDbXkqasx8fyr8f+1/ZJV+bvPtx9p+bMH28H59uyZ5Yejep4ewjVcqSlJHF4dMKRsH+frSr7tyJFeAyaVopnLjkEigq5c256S96t2vh5KxTnaTUdA4fTyrQLiU9k8lLVvPAtQUvwv3320U83qcbBt4dyliqVUvS9+0jc380dlYWx+bMo0zOXdnnImnFr7iTU7yYsKDgSy8lIyqKrGgn8/F58wjrUTBzpcce4/DHH2NnZBT6OmVuvJHE778vdJ03GA1bYm86ebzYA0EhEFrwTm4O7YHk4wWXH0+A+INePU6cZNRphB0fA0dinTtD1y7DvPSK/G1aXoG9ajEA9h/LMZq0LPA65uVdsNZ6/0IKQIXLWnNizz6S9kVhZWWx59vZ1Lz+Wo/t6/brw55vvgOgTKOGxK5che12k52ayrEtf1K9ezeP2xYXv6YtcB+Ixjp0ALKzSF/0IwGduuZrY6fkvr+M4ODcv396Gtkb15X4nZhL9sbRu3H1Mx6HAS6tUpaKhXwO7z6WdOoY3a5aeZbsifN+5j/30Lt1EydzrQiS0jI4fKLgcSs0yLkLN9uyyHJbp46/huEcrwGS0zOpVLpUseZz3m+Hct9va5Zitsz/fjNbXoG1chEA1h/LMRsX8n5r2/XU+82oGIEdf/DUscT+cz1mm4KfNUVSsz72kRg4GufkXL8Co3nb/D9L88ux1jqFDXvTKowGLXKWt8VavwLc2XA03nmdnNFAhJfHaNIGe/XifK+V90KxvX8nRnj5v5f/ND+vXkfvq6/CMAxaNq7PiZRU4o8mFmj33eJIhtx6IwCmaVI2PAyA0JDckTSp6Rle/7wG+HnlWnr36OJkbtLQyZxwrGDm+UsYMqBPnsxO39QwDJJTnX5zUkoqlcqXLd6AtRpgH46BhJx9ZN1yjBb5L0obLdphrVkCgL3hV4yGlzorDuxxigjgFNH8c85FsjKxd+bcR+bOxo7eDWUK3nFfHMJatyR97z4yovZjZ2VxePYcyvcqeFPT2ZS/8XqOLfkFK837/c8l26Po3bKBc3yrUZmk9EwO55wb5RWac36UbdnO8S1nd72yfnX8XM4ljEtrVCK2kGNjcQq+9FIy8/bhvv/eYx/uyPjx+fpwoR07kr59OxnbtwPgTkwEq5DzWC8KadWSjNP6zeFF6DeXFOecqaazX0SU83zOVMO5bJJ7zuSce7erUZFgf+ce2UuqlD213Fd2LV9J6tGCxzpfKtemNcl79pIS5fQ79387i+rX9fLYvlbfW4j6ZpbH9SVhyR+b6d2xrfMZ0qAOJ1LTiD9WyDmHiJSof3Ih4axs294AvAQ8kmfx7TgjC/YDVxS2XY4wnBEdCTmvlWHb9l9F/P4zgYXAwLO1LQqjQiWs+NwTXftIHGZFz7WKgOtuJnvNr3kWBFDqo6mEvD8Zv9Mu3HqLUa4i9pE8mRMOY5Q7t/qK9dcWrM3rCJk4j5CJ83CvX4N9IMpbUU+JT06jSp6T88phIaeKBIU5kZ7J0l0HaV/bmV5g37Ek9h09waAvFzFgykKW7znk9cxGWBnspDydmqRECCvjeYPCXqN1Z8wHXsboegvW4q/OvsF5MipUwo6PPfW1dTgOo0LBqR1OCriuD9m/rcizIIBSH0+l1AdT8Luyq8ftvCk+JZ0qobkXpiqHBp+xSHAiI4ule+NoX8M7J5yexCcmUaVsbkGpctnSxCgwQbsAACAASURBVCUWLCS89/1S/tWtPcE5w0ZP+nnjX1QKD6Nxde8XcvyrVCHrUO50WpkxMfhHFJyyo+x119Jk8XzqTvgI/6qep2kqCf5VqpAVk5s5OzYW/yr5Mwc1a4Z/RATJv/xy+uanhN9wA8fnzvVaztMZYWWxT+Qpyp44VuTjRYkpUx6OHj71pZ14BMrmv4hnlCmPfbKNZUFaCoTmL6Sal3fCWrPU22kBKBURQcqBg6e+Tjl0iBAP+2qpGtUJq1WLmGXOiLCjW7ZSvXs3XMHBBJYrR0THKylVrarXM5uVKuOOy92Xrfg4XIUUcIP63U65b3+i1COPkfzWWK/nOpP45PR8UxFVDg0qUrG2cfnSLN7j/MyL98SSkpVNYpp3iyHxx5OpUib01NeVy4QSd7zw0Sb3fzqLji99QqlAf3pe4lzofvrGzrz+43KuHvMZr/+wnGHXXlm8AcuWxz6W+37j2BGMsqd9bpWtkNvmTO+3nNEJdvwhjMrVoXxlME3MVh3OuR/oiRFeHhITchckJmCEl/PcxrIgPRVKhTntEo/kNjyecKowYN58L9b3UzwXSU0X5mVdsLYX78jYuIRjRFTIzV+lfDniEvLfOHMip1D+zpffcsujo3j01Xc5kueiy9QfFtHj/sd5Y9IMRj5wZ7HmKzxzAhEVc4/FVSqUIy4hIV+bU5knz+CWh5/g0Zff4Mgxp0DyyJ39mfvzcjoPHMIDo8Yy6uH7ijWfUaZ8/r9z4pECBSBnH8lpY1mQngKlwvK3adkB+8BuOP1u8+BSGM3bYu/YWKy5TwqoEkFGnj5RxqFYAqoU/BypcMO1tPplEY0/HU9AIZ8zFW++icOzSmZ6vPikFKqUznN8K12KOA/FgPun/EjH175wjm9N6xRY/926HXRsUHCak+J0eh8uKyYGv8r5P/c89eEC6tQB26bWpEnUnTuX8nmmqiwpAVWqkHl6v7lKwX5zmeuupfGi+dT2Ub85PjmtkM9qz8WAExmZLN0TS/saBT8nvtsaRccSHNl9sQiJqELqwdx+Z+qhGIIjCv9bh9SoTmitmsRFLj+1zBUUSM9fFtJj0Y9UO8ONL8Up7mgiVfIUkKuUK0P80cILCc+O/5I+T7/Kh9/Nx87z+bxwzUZ6PzmOR9/+jJhCCtkiUnT/5EJCsGEYG3L+namUug5oDGAYRhDQHZgHTMcpKhTKtu2jwFwgyjCM6YZhDDIM43x+n6e+vy/4d78Os2FTMmdOPrUs+fbrSHloEGljniVo6BMYVav7Kt45MapUw6hem9T7bib1vt64WrTBbHqpr2Plk21ZjJi7kjvaNKRGzsUBt2UTdSyZSbd3442bOvDC/LWcSC/ZOzXPh71uGdb457CXzsLoUDKdiLPx734drkZNycizHycNuI6UBweR+sozBD/yBOYFvh9nWxYj5v/BHZfWoUZ48d49Why2RccSffgY3VvmP1ylZWYxYcGv/PvGgsOPfSVx0WI2t7uSbd17cSJyObX/95avI52ZYRAxahSxYzzPGR/csiVWWhoZO3Z4bCN/j1GnEWRmwCHvF6KLqm7fPuybMw87507GQ0uWcmDhYm5Y9CNdPh9P/NrfsUr4LsczSf9mOkf7XkvK+28Tcs+Dvo7ztzxxZVPWHjzKLTMiWXswgcqlgjDNC+chcp8M7sOyUYPJzHbz2y5nOpYZqzfx9I2dWDLyPp66sRPPfb34LK9S8ow6jbAzM7BPvt9Sk8me+h5+DzyL31NvYifElfidu+fCaNrGGTVxhunPzH5DsPf8CXtLaBq6PNxui9gjR2nVpAHfvfMKLRs34LXPp59aP+j6Hiz65E0ev/s2Ppo5p8TzFcbtdhN7JIFWTRvx3Yev07JJI16b4DxT4IdfVtCnZxeWTZvA+Fee5anX3rugjnUAVKnhTHc088P8y00T8+4RWJHfOyMefOTowkWsvewK1nftQeKySBq+97986/0rVaJU48Yk/lIyo/GK4pO7rmPZiEHO8W1v/huuPl62HpdpcGNOAdVnDIMqI0cW2oczXC5CLruMA8OHs7d/f0r37EmpDhfe/OzHFy1ma/sr2d6jF0mRy6l1gfebsy2LET/9zh0t6xY4Z5q7PZot8Ync29rH+8VFrtYtfYiem9vvBJjbojULu/Zk5eCHaD3uZUJr1/ZdwNO8/sjdzH3tWb58YRh/bN/NnOVrAOjSugU/v/sic157hg4tGvHMh1+c5ZVE5Fz8Y5+RQM60QufQLu/Z4A3AL7ZtpxmG8S3wnGEYw2zbLvRJabZtDzYMowVO8WEEzrRI/ypizkLPRg3DGAIMAfhfo+rcU8hDqDyxj8RjVsqtwhsVKmMdPlygnat1OwIG3Ufq8MGQlZVne6etHXOQ7A2/46rfmOxDBwpsX5zso4cxKuTJXL5i7p2jZ+HXvjPWji2Q7ty14F63Clej5lh/Fv/dP9PW7eDrjc5c0C2qlM8ZTuvcCRGXlErlsMIf6vTC/DXUKhfGXZfnXoStHBbCJRHl8XeZVC8TSq1yYUQdS6JFRPEOhTdad8a41JkewI6Jcu4yPrkyrIwzKuE82H/+jtlzIDaTz974fF7/SDxGpdw7ZsyKlbGPxBdo52rdjsA7BpMy7L7T9mOn7cn92Kzf2JmOw8umbdrL11udeaJbVCpDbJ47X+OS06gcWvgUVi8s2UStMqHc1bLgQwi9knPZ73z9q3O3ZItaEcQey53KKu7YCSqXyX+33ca9B9myP4buo97DbVkkJKVw99tTGNm/FwePJNJnzCfOtokn6DvuU2Y+eS8Vw0MpblmxsfnulAqIiCArJjZfG/ex3H36yLQZVB/1TLHnKIqs2Fj889zx41elyqkH2gGYoaEENmxInRnOg+38Klak1iefEHX//ace1hd+ww0cnzfP61mNNl0wWnUCwD60F6N0udzjRemy53288LrEBMhz97JRpgIcy3/Xq52Y4Ix+SzwCpgnBpSA5d783Lu9cYqMRAFJiYihVPfdBp6WqViX1UOEPr6/btw+rHn8q37KNb7zNxjfeBqDzZx9zYtfuwjYtVlZ8HK7KufuyWaky7sOeL5BlLPqR0Kee87jeW6Zt2sfXf548DocTm+euxrjkdI/H4cJUCg3i3esuAyAlM5tFu2MpHeh/lq2KbtrKjXz92xYAWtSoTGxi7giEuMRkKp/heBro78fVzeqx5M89dGhYizl/bOPZm5zibq9LGvD8Nz8Xb9hjCRhl89wFWrYC9rEjp7U5glG2orO8kPeb2bZLgfebvfE3sjf+5qzvdO3fflCxfTzBueP8pDLlsY8fLdCGMuWdqdhM05nCLSXJaZd3Oprw8tjHEzCbX47R7HJcTVo702kGhWAOehRr6jsAGD37Q6nSWF+/9reynzT1h0V8vWApAC0a1CXmSG7+2ISjVC6ff4RFmdKhBAcG0PMKZ5/tdWVbvl1Y8ALx9Z3aM/qjScWSsUDmuT/x9Y/OPteiUT1iDucei2OPHKVy+fz93DKlwwgODKTnVc6UQr06XcG3C5ztv13wM5+Mceb2b9W0ERmZmRw7nkT5soVMs3ce7MQE5/PiVJgKzj6Rt83xBGdfSDy5j5SClJxRm2XK4xr8LO4v/udM9ZWHOeAROHwIe6n3RhJmxsYQmKdPFFi1Cpmx+T9HsvP0iWKnTqf28yPzra/Y+0YSfprv1bn7p/22la/XOdP7tKhakdgTeY5vJ1KofIbp1wL9/bi6cS2WbI+iQz3npqBZ63ewbMd+Pr/7es4wE3GxOL0P5x8RQXZc7ufeyT5c7elOwc6vYkVqTpjA/iFDyIqNJXXNGtzHnLugk5cuJahZM1JWrvRq5rwyY2PzjUIJiIjI1weF/P3mhGkzqDayZPrN0zbu4est+wBoUblsIZ/VwYVu98LPG5xzplb5iwUr98czYc1fTO7XkQA/l9dyX6xSY2IJqZbb7wypGkFaTOH9zlp9b+b3EfkfF5qWc76VEhVF/IqVlL2kOcn79hV7zqkLI/lmifMeaV63JrF5RhHEHk2kUrmCx//K5ZwR06WCg7jhyjZs3h3FzZ3aUTYs99jS7+oOvDHtwiig/+N5+bgsuQzDKIczZX5tYB/Q37btY6e16Qq8nWdRY2CAbduzDcOYBHQGTg71+VfOzD1n9E8ekXCuWgEnbxm6HehuGMY+4A+gPHDGJ8rYtr3Ztu23cYoIff/m98/7uhNs277Mtu3LilJEAHBv34pZrSZGlarg54f/1deQvWppvjZm/UYEPzaStFHDsRPz7GehYeDvnCAbpcvgat4y38NtvcXauQ0zojpGpQjw88N1VXey16w4+4Y4U964mrUC0wUuF67mrbDyPKS5OA1s3ZBZ91zLrHuupVvDaszZsg/bttl48Ahhgf5ULKTD807kJpIzsnimW+t8y7s1qMbaaKcjeiw1g6ijSadGKxQne90yrIljsCaOwd65AaN5e2dF1TrO8wUKexaCJ2XzTC1UvzkcK3hhv7i4t2/Fddp+nLUy/8mwsx+PInXksAtiPwYYeEkdZt3emVm3d6Zb3SrM2Rbt7COxxwgL8C90Du53Vm0nOTOLZzo1K5GMAAM7X8asZ+9n1rP30+2SRsz5bbOTc+8BwoKDqBiev5AwoFMblo0bxuJX/s2Xj99N7UrlmTz8LhpWq8SK1x5j8Sv/ZvEr/6ZymdJ8+8xgrxQRAFI2bCSoTh0CatTA8PenbO8bSVy4KF8bv0q5+2mZnj1I27nr9JcpUWmbNhFYuzb+1atj+PsTfuONJC3OvUPYSkpie5s27OjYkR0dO5K2fn2+IgKGQfj115NYAoUE+4+lWJ++hPXpS9g7NmBccvJ4URcy0gp/FsIFwN73F0alqs60KC4/zMs7Ow9bzttm42qMK7oDYLTpiL09T7HZMDDbdCqx5yMAHPljPeF16xBaqyamvz91+97M/h/nF2gX3qA+AWXCiV+zNjeuaRJYzhnqXbZZU8o1a8rBnz1Pi1VcsrdtwVWjJmZENfDzJ6jHdWRG5v++rhq5D7oLuLIz7uiSH+Ex8JLazBrQiVkDOjnH4e0H8hyH/Qo9DntyLC0TK2eI/Cd/7OKWpt6ZRmNgh0uZNXwQs4YPoluzesxZt83JHBVDWHAgFU+70JaSkXnquQnZbotl2/ZSp6JzUblS6VKs3eNMX7B6VzS1KhTvlGT2vr8wKleDCjnvt7ZdsE97v1kbV2N2cObhNtt0xDr9/XZZIdOIheVcHAgJxexyI+7lBd8PRRK9C6NiBJSr5ORsdRX2lrX5mthb12Je7kx/aFxyBfYu57hrb1mL2eoqcPlBuUrO6+zfhfXDVNwv3Y/7lQexvngLe+fm3CJCu+6YjVpiffl2sT0bZtD1PZj97hhmvzuGbu3bMGfJCmzbZsP2XYSFhFCpXP6/rWEYdG3bijWbnVOLVRu3Uq+mM+3ZvkO5Fw+X/r6BWlULTm9SLJlvupbZH7/B7I/foFuHtsxZtNTJvG0HYaVCCjznwDAMurZvw5qNW53MGzZTr6ZzwTiiYgVWbXD+Jrv3HyAjM4tyZQp5ttf52r8To2JVKJezL7fuiL35t3xN7C1rMNs6p4NGyyuxd25yVgSXwvXA81hzpxQYfWJePwiCQrC++7T4shYiaf1GguvWIbCm0yeqeHNvji7I3yfyz9MnKn9NT1JP6xNV6NObw7O8e3FtYLtmzHqoL7Me6ku3JrWZs2Gnc3yLjiMsKICKp92IlZKRdeq5Cdlui2U7oqmTcxxbvjOaz37dyAcDexIc4P17ItM2bSIgbx/uhhsK9OH+uuwydnbqxM5OnUhbv579Q4aQvnkzyZGRBDZqhBEUBC4XIe3aFXhIs7elbthI4Gn95uNn6DeH9+xBegllHHhpXWYNuppZg66mW70I5mzb7+wXMUcJCyz8s/qdlX8659WdW+Rb/md8IqOXbOD9G9tTPiSwRPJfbI6uW09YvbqUyul31uzbhwM/LSjQLqxBffzLhHMkT7/TPzwcM8B5bklAuXJUbNeW4395Z5T0oJ6dmPXq08x69Wm6XXYJc5avcT5Ddu4lLCSISqcVkrPdbo7lFCezst0sXbeVBtWdz728z1NY8sdm6lbzzueeiA89Dfyc8wzen3O+zse27V/yPMf3aiAVZ4r9k57I82zfsxYR4J89IuGsDMO4BHgOGGwYRmmgI1DDtu2MnPX34BQXFhWybShwmW3bS3MWtQSKdLZsGEZfoCfw+Pn+DIWy3KS/919C/vshhssk86c5WPv2EPivh3Dv+JPslcsIemA4BIUQ/IJzx5QVH0vaqGG4atUlaPhI5wTIMMicPrFkLsBabjI/eYugF94Gl4vsxd9jR+/F//bBWLu24167ArN+EwKfHocRGobfZVdh334faf+5A/eqX3Bd0obgd74AbNzrfsO99tezfsu/q1PdqkTujqHXhO8J8nMx5rrch7P1mfgTs+65ltgTqYxftZW65UrTd5JzQjyodUP6XVqPq+pEsHJvLDd8+gMuw2BEl5aUCfZyx2f3Fuy6zTEfeBmyMrF+zB1NYN4zEmuiMyzX6HILRtPLwT8A8+Fx2Jt+xV7xvXO3cq3Gzl2C6alYP0zyXlbLTdq7r1LqtY/ANMn6aQ7Wvt0E3vMQ7r+c/Tj4weEYwSGEvPi6s0lcDKk5+3HwY6OcB3MbJhnTPy+xQkJenWpXIjIqnl5TlhDk72JMt9xBUn2mL2PW7Z2JTU5j/O87qVs2lL4zIgEYdElt+jWrVXI5m9cncusuer3wAUEB/oy588bcnGM/Ydaz95dYlrNyu9k/8nkaTJuC4XJxZMZXpO/YScQTj5G6cRPHFy6m0n3/okzPHtjZ2bgTj7Nv+IhTmzec9TVB9evhCilFi99XE/X4k5xYFun1zIdeeIHaU6ZgmCbHvv6ajJ07qTR8OGmbN+c7IS1MqbZtyYqJISs62rs5T7drM3a9FpgPj3GOF99POrXKHPw81qcvAWBc3RejWTvnePHv17A3LMdePg8iamP2exiCQjAaXAKdemNNeME7WS0L9/QP8Rs2BkwT69eFEBOFedOd2FE7sTeuxloxH9d9T+L3yufYKUm4Pxl3anOjQQtnPvfT7ij1JtvtZtUTz3DNrK8wXCY7v5hO4va/aDXyKY6s20B0zsld3X592Ptt/rmrTX9/rpvvFJaykpJYdv/D2O6/d/f2OXG7SX5jDOHvTsAwTdLnzcK9dzchQx4he9tWMpf/QtCtAwm4/ArIzsZKOkHS6GdPbV5u1kKMUqEY/v4EdL6a4/8Zgnuvd0dSdKqVcxz+4hfns7pb7tSHfWZEMmuAMwLnjV//5Icdh0jPctN14mL6Nq3BI+0asebgEd5etR0Dg8uqleO5zs29mhegU+PaRG7fR6//TiYowI8xt+Y+GLPP21OZNXwQaZlZDJ00l8xsN5YNbetV57b2zoWV0X27MW5uJG7LIsDPxei+Z7wnpugsi+xpH+A/bCyYJu5fF2IfisLV+y6sfTuc99vy+fgNfhL/sROxU5LIHp/7rAyjYQtn1Olp7zfXgIcwazij8tzzpkLcQf4Wy8L67lNcQ553jgtrfoa4aMxeA7Cjd2NvXYv9288YAx/F9ewHkJqMe0rOlB5x0VgbfsX11LtgubG+/cTpU5yB2e8BOHYY13+cY4u1eTX2wq//3s+QR+fLLiXy9w30HDKCoMAAxj6a+9l8839GMvtdpw/3+L8G8NRbHzP206mUKx12qt3U7xexasNW/PxclA4txavDvD9fe+e2rYlcs46e/3qEoMBAxo54ODfzgyOY/fEbTubBd/LUf99l7McTKRdemrEjhgLw1AN389zbHzP5u+8xMBg3Ymjx3oFuWVjfjMf18IvOPrJ6McRGY143EHv/Luwta7BXLcK48zFcz42H1CTck5w+p9HxeqgQgdnrNuh1GwDuD18APz/Ma27Djo3G9YRzA6C1/AfsVQVOJ/8+t5vdzzxH8xlTwWUSN30mqX/toOaTI0jeuJGjCxZR9f57KdezB7jdZCUmsvM/w09tHlijOoFVq3J85ariz+ZBpwY1iNwRTa93ZhLk78eYm3Onxuzz0bfMeqgvaVlZDJ22gEy3hWXbtK0dwW2XNQHglR9XkpXt5r4pPwJwafVKvHhjR+8FdruJefFFak2enK8PV3HYMNI3bybpZ88jvqwTJ0j47DPqzp4Ntk3y0qVnfBaWV7jdHBj1PPWmTcEwXSTMdPrNVUY4/eYTixZT8d5/Ed6zB7izyU48TtSwEWd/3WLWqXZlIvfF0WvyIoL8/BjTo9WpdX2mLmHWoKuJTUpj/NodzjnTNOf3OOjSuvRrXps3VmwlNdPN8B+dKW2qhoXwwU3tS/znOOm+aZ/TsMtVhFYoz7jobcx7YSwrP/fttDq2283vTzxNl29nYrhc7PlyGie2/0WLZ5/i6PoNHMzpd9bq24f9p/U7wxs15PK3X8e2bQzD4M//vcsJLxUS8urcqhmRG/7kmmEvERToz9gH7ji1rs/TrzLr1afJzMpm8Ksfkp3txm1ZdGjRiFu7OVOIfTl/GUv+2IyfyyQ8tBTjHhzk9cwiJaw30CXn/5OBpcBTnhoD/YCfbNv2/HDXc2DYxXTHzIXGMIxk27ZDT1vWBZgD7AFCgHjgNdu25xmGcTdwrW3bA/K0Lwf8BVQ/WVzIsy4MZwhJPSANSAEetW37d08ZDMN4EbgfOAyUArYAI23b/vNMP8uJq1tdVH8kV+nChyFeyIJu6unrCEUTX3IXu4pL8oLVZ290gQnt293XEYqmyYX1bJBzseHOUb6OUGSBgRfXYL4mgy+y/Riwokq4aFIMvpjxh68jFMmNTTw/vP5CVe6OXr6OUHQ16/k6QZG45118w/7NM0yLciFyPVjgZrELX+DF17d3vzny7I0uIKtnrvN1hCK74p1hvo5QZNuf/fDsjS4gmRklcJNAMbtk5ICzN7rADB36ka8jFEnn8HMfWXmhuG3Jl76OUGRm656ao+c82LG7Lqrrl75mVKl/3vuZYRiJtm2Xyfm/ARw7+bWH9kuAt2zb/j7n60nAFUAGOSMaTr/2XZh/7IiE04sIOcuWAoVOqmnb9mTIP9l7zgOVK3ponwRcV5QMtm2/CLx4pm1ERERERERERERE5J8r7/Nxc0ywbXtCnvWLgcLm5cp3x4Rt27ZhGB6LOIZhRAAtgLxzmj0DxAIBwASc0QwvnS3zP7aQICIiIiIiIiIiIiJyockpGkw4w3qP0wsYhhFnGEaEbdsxOYWCMz3EtD8wy7btrDyvffKJ6xmGYUwEzmluu4trfgYfMQxjlmEYG077d42vc4mIiIiIiIiIiIj4nqF/Rfr3t8wF7s75/904U/l7cjswPe+CnOLDyWmRbsaZfv+sNCLhHNi23cfXGURERERERERERETk/71Xga8Mw7gPiMIZdYBhGJcBD9q2PTjn69pADWDZadtPNQyjIk5FYwPw4Ll8UxUSREREREREREREREQuArZtJwDdCln+OzA4z9f7gGqFtLv6fL6vpjYSERERERERERERERGPVEgQERERERERERERERGPVEgQERERERERERERERGP9IwEERERERERERERETl/huHrBOJlGpEgIiIiIiIiIiIiIiIeqZAgIiIiIiIiIiIiIiIeqZAgIiIiIiIiIiIiIiIeqZAgIiIiIiIiIiIiIiIeqZAgIiIiIiIiIiIiIiIe+fk6gIiIiIiIiIiIiIhczAxfBxAv04gEERERERERERERERHxSIUEERERERERERERERHxSIUEERERERERERERERHxSIUEERERERERERERERHxSA9bFhEREREREREREZHzZ+hhy/90GpEgIiIiIiIiIiIiIiIeqZAgIiIiIiIiIiIiIiIeqZAgIiIiIiIiIiIiIiIe6RkJF4GkY2m+jlAk/skZvo5QZEF1Gvo6QtHUaQjrV/s6RZHs3ZXo6whF1uLoUV9HKBr/AF8nKDK3bfs6QpFFVCnl6whFcxHOU5m+P8HXEYqskv/F1aUKCHT5OkLR+fv7OkHRBQX7OkGRZMYd93WEIguqUNbXEYrGtnydoMis6L98HaHoLrLjhXkRflZjuX2doMiSU7N8HaFIatcI83WEojtx8X2OdA4P8nWEIll2PN3XEYrstuxMX0cQkWKiEQkiF6OLrIggIiIiIiIiIiIiF6+L6/Y5EREREREREREREbmwXIwj7KRINCJBREREREREREREREQ8UiFBREREREREREREREQ8UiFBREREREREREREREQ8UiFBREREREREREREREQ8UiFBREREREREREREREQ88vN1ABERERERERERERG5mBm+DiBephEJIiIiIiIiIiIiIiLikQoJIiIiIiIiIiIiIiLikQoJIiIiIiIiIiIiIiLikQoJIiIiIiIiIiIiIiLikQoJIiIiIiIiIiIiIiLikZ+vA4iIiIiIiIiIiIjIxcswDF9HEC/TiAQREREREREREREREfFIhQQREREREREREREREfFIhQQREREREREREREREfFIhQQREREREREREREREfFIhQQREREREREREREREfHIz9cBREREREREREREROQiZhi+TiBephEJIiIiIiIiIiIiIiLikQoJIiIiIiIiIiIiIiLikaY2Ok+GYbiBzTi/w73AnUBvoJdt27fnaVcB2AZUB/4CLrNt+0jOui7ACNu2byjufIEdriL8iZEYpknK7G9InvhJvvUh/W4jtP8gbMuNnZpK4ivPk71nN66IalT+7geyovYCkLV5I4ljXizueIUKaH8VoY8/A6aL9DnfkDrl03zrg265jZB+t2NbFnZqCknjXsS9dzf+ba8gdOhjGP7+2FlZJL/3Blm//+b1vLZtM/ar+URu2UlwgD9j776ZpjUjPLYf+uF0oo8cY+7zDwPw/rylfLNiHWXDQgAY1rsbnVs08Hpuo2tfjDpNISsTa8FUiD9QsM2V12M0bQuBwXKNvgAAIABJREFUIVjvP5G7vHMfjBo5Gf0DIDgU68OnvZ75pLAunan24vMYLhcJ02cS/+FH+daXu7UfVUc+Q1ZsHACHJ03m6IyZJZLNuGYgRoMWzu91zmcQu79go4hamDfdB/7+2Ds3Yy+Y5iyvXAPz+jvBPwiOH8H6bgJkpkPVOpg33H3yO2AtmwN/rSv27LZtM3bGj0RuztmX7+lD01pVPbYf+v5Uog8fY+7oRwB4bPxX7I09AkBSWjphwUHMeuHhYs95UnjXztR86UUMl4vD02YQ8/6H+dZX6N+PGs+PJDMmFoD4iZM5PG0GAdWr0eDzCWCYGP7+xH0+icNTvvRaTk/8219JqWFPg8tF+txvSf/is3zrA/v0J6jvAHBb2GmppLz6Iu59e0o8J4DR4zaMei0gOxNr3iSIK7hfG51vxmjRHoJCsN74T+7ytt0xWl4FlgWpSVjfT4YTR72W1dXmCoIeehxMk6z5c8j8anK+9f63DMT/mt5gubETE0l/+yXs+FjMug0J+vdTEBIKlpvM6RPJjlzktZx5Vby6K83GvYRhutj/5TR2v/N+gTYRvW+k4VMjwLY5sWUr6x8YCkBQtWpc+s6bBFWrCrbNmtsGkRZd8Hhe3PzaXknQf55yfs8/fEfG1M/zrQ/ofycBN9wCbjd24jFSX30eOy4GV6vLCX4k9/PErFmH1NFPkr3iF6/mtW2bsUs3Ebk3jmB/F2N7tqFp5TL52qRlZTP8hzVEJ6ZgGgZd61bhsY7NAZj0x06+2RKFn2lQNjiQV3q2plrpEO9n/nYxkX/udo7Jg66naY0qHtsPnfAN0QmJzH1mMACvz17C0i278PdzUaNCGcYMvJ7SIUFey+tq3Z7A+4c7+8SiuWR980W+9WazlgTePxyzdj3SX3sO98rcv3nA3UNxXd4BgKwZE8lesdhrOQHMG+/GaNQKsjJwf/0RHNpXsFG1OrhufQj8ArD/Wo81zzmWmD36YzRtA7aNnXwC6+uPIOkYBJfC7PcARrnKkJ2F+5uPIa7434u2bTPmk6lE/r6RoMAAxg27n2b1ahdol5mVzcvjp7Bmy3ZMw2TYnX25psPlTJw9n28WLcNlmpQLL82Y/9xHtUoVij3n6ZnHTv+ByM1/OfvyvX1pWquax/ZD3/2C6MNHmfvyowBsj45h9JQ5pGZkUq1CGV67vz+hwcWzL5s334vRpDVkZuKe8R4c3FuwUfW6uAY8Av4B2NvWYc3OOd4Fh2Le9RhG2UrYx+KxprwJaSm529Woh+vf47C+fAt702qoWhtX3yEQFAKWhfXzN9gbVhbLz1GmaxfqvPwiuFzET53OwdP6RBVvu5XaefpEMZ9PIn7aDACuOLiP1G3bAcg4eIjtd99bLJnOxLZtxs7/jcid0QT7+zH25o40jSi4Hw75cgGHk1PJtmza1KzMc9ddgcs0mb91Lx8sW8+ew4nMvP8mmlf17j4MEN61C7Vedvqd8VOnF+x33nYrNfP8juM+n8ThnN8xgCs0lEsil3B0/gKinn3O63kBAq64irCc8+q0Od+QOjn/eXXwLbcRfOvtkHNefWKsc17t17QFpUeOPtUu5ZMPyFj6c4lkNrr3x6jX3DmX+mEyxEUXbNOpN0bzdk6f861huctbdsRo3QVsCzIzsOZPhYQYr+aN6NaV1q+OwXC52D3lS7b9771861uNfYnKHa8CwBUcTFDFCnxbyzmPvi0hhuN/bgMg5cABlt9+l1eznos7P/uAFjf0Iin+MC+3aO/rOEDO8eKL2URu3EZQYABjhwygWe3qBdrdNeZDDieeICjAH4BPnxxC+fAwZvy8kmmLf8VlmoQEBTD63lupX81zf0pEzo0KCecvzbbtlgCGYUwGhgLvAW8ahhFi23ZqTrt+wDzbtjOMkporzDQp8/TzHHnoXtxxcVSa+jXpy5aQvWd3bvifvif1G+cCa1DnroQ/9jQJj9wPQPaB/Rwe0KdksubJHPbkKI49MhgrPo6yk2eSsfwX3HtzM2cs+J7075zMAR27EjrsSY4/+gB2YiLHH38Y68hhXHXrU+bdT0i4oavXI0du2UVU/FHmv/RvNu09yOhpPzDz6cGFtl20fhshgQEFlt/VrT339uzg7ai56jTFKFMR6/OXIaI2Zrf+WNPfKtDM3rMVe8NyzHvyd3btZf/H3n1HR1G9DRz/zmx6ISEhJAFCCSC9N0WK9GIBVBTBhmJB7CgqilIEC4IdsYsKiI0iKM0AARGpSegtEEI66T27O/P+MSHJZhMlmk3g9z6fczxmZ+5Mngx3Z+7cuhK9+Gelcz+ob/8gdxhVpdGrszk9/k7MCYlctXYNmZs2UXjylE2y9F/WEjfjlZqLC6BFBxT/QLQPXoCGoajX3432+at2ydSRd6Gt/QriolHHP4XeogOcOoh6w71om1dAzAmUzn1Qeo9A37oSkuPQPp1tFIq9fFAfmoV2IsL4XI3CD50kJjmV9XOfICr6PLOW/sKK6Q9VmHbT/iN2eXnhQ7eV/PzG9+vxdnet1vhsqCpN5r3K8dsnUJSQQLvffiF94yYKTpy0SZa2+hdiXnzZZps5KZkjN4xBLypC9fCgw9ZNZGzYhDkpyXHxVhC/59SXyHriAbTkRHy+WIF5+xabhoKiDesoXPk9AM59rsPjiWlkP/VwzcV4UfP2KH6BaItfMhq1hk9AW/KaXTL9ZCT63i2ok+fYbk+KRf9iHliKULr2Rxl4C/qqT+2OrxaqituUaeRNfxT9QhIe7y3Bsisc7VxpxZB26jh56+6GwkKcr78F1/sfp+C16eiFBeTPn4keH4viVw+PD77Bsu9PyM1xTKxlYm7/5jz+uuV28uMT6Lv5N5LWbyTn+ImSJJ6hzWjx5GPsHHET5sxMXOr5l+zrsug9Tr79Lhe2hmPy9EDX9Ip+S7XH7PbUdHKffhA9JQmvT5Zj3rEVLaY0/1pPHiPngTugsACXUbfhNvkp8mdOw3pgDzn3G/cKxbsOXsvXYdnzp8NDDj+bRExGLusnDiEqMZ1ZYRGsuOM6u3QTu7WkV0gARVaN+37cQfiZRPo1C6JNfV9+GN8Md2cnvouMZsH2Qyy8vqdjYz4STUxKOutnPETU2Xhmfb+BFVPvqTDtpsjjdvfk3q2a8dSN1+FkUlmwegufbvqTqaMcVC5SVVwffob8GY+jpybjvvBLLH9tR489W5JET0mi8J05OI8Zb3OoqXtv1OatyH/8bnB2xv21RVj27YT8PBxBadUZ6gVjfetJCGmBafQkrItesktnGn0/1p8+gdhTqBOfR7mqM/qJCLTwX2CTcW9Weg9HHXQz2qrPUa8bjR4fg/bNQghogDrqPrTP7MsA/1X4vihi4hPZ8PGbRB4/zayPlvD9W/blncU/rMHftw4bFr+Jpmlk5hgV3G1Cm/Djwpm4u7qy/NffeeurFbw9bUq1x2kT88ETxCRdYP28p4mKjmXWN2tY8dLkCtNu2ncYDzfbvPzyVyt59rYR9GjVjJ+27+WL9dt5fMyQ/xyX0rqrkRdeexQat8R0y4NY33vBLp3plgexfv8RnDuJOulFlNZd0I8dQB00Bv3kQbSwlSgDx6AOHIO2rrhjgqKiXn8X+onI0hMVFWJd/j5cSIA6dTE9NR/rsQgo+I95XVUJfe1VDt82nqKEBDquX0vaxk3klysTXVj9C2cqqMDWCgqIHDz8v8VQReGnzhOTlsn6x24lKi6FWet2smLSTXbpFo4dgJerC7qu8+QPYWw4cpaR7UNpWb8u7902iJlr/6iZgFWVpq+9yrHia9xu/VoyKrjGqat/qbSRoNFzz5C1y/Gd3EoUv1dnPDoJa1ISfktWUBhu+15dsGEt+cXv1a79BuD91DQyHn8Iy+mTpN09FqxWVP96+C9bScr2rWC1Ojbm0PYodeujffyyUeYcNh7t6zfskumnotD3bUF9aLbt9iN70CO2Gx9adEQddCva9+/bHV9dFFWl21tvsGX0WPLj4xm6ZSNxv20gq0wZ7sD00veQlg/ej1/HDiWfrfkFrO870GHx/Rt/frWUrR98wr1ff1zboZQIjzxmPEPeeoHI0+eY/eVPrJj1RIVp50+eQPvQEJttN/TuyrhBRl1L2P5DvLF0DZ9Oe9DhcQvxv06mNqoefwINdV3PArYBN5bZNw5YXpPBuLTviCX2HNa482Axk7fhV9yuG2STRs8t7TWjuHsANVAB8Tec2nXAcv4cWrwRc+HG33DtZ/twtY3ZvSRky4mjaBdSALBGn0JxdQNnZ4fHHBZ1jFFXd0RRFDqFNiI7v4CUzGy7dLkFRSzZ/CcPjejn8Jj+idK8A/qR3caHhLPg6g6edewTJpyF3Ky/P1frbujH9lVzhJXz6NyZwrMxFJ2LRTebSV/zCz5Dh9bY7/87Sqsu6JHFPcviosHVA7x8bBN5+RjXO86ocNMjdxq9IgH8AyHGKHjq0YdR2nQztluKShsNnJxBd8z3NCziGKOu7mzk5eYhZOcVkJJRUV4uZMmmnTx0ff8Kz6PrOhv2HmJkz44OiRPAq0tnCs+epfDcOXSzmdTVv1B32KXlA91sRi8qAkB1dQG15h+BTm07YC2511ko3PwbzuXvdXnl73W1c39WruqMfrC4ojf+DLi5g6ePfcL4M5Cbab895riRhwE9LhrFu67DYlVbtUNLiEVPjAOLBcu2TThdY5tPrVH7oLDQ+PnYQdR69YtjO4ceb/R609MuoGekofg4LtaLfLt2IffMWfJijLwct3I1gSOG2aRpfNcEzn7+FeZM4/oWXUgFwKvVVShOTlzYGm78Pbl5aPn5Do/Z1KY9Wtw59ATjOpt/X49zH9sKauuBPVBYAIDlSBRqQKDdeZyuG4Llrx0l6Rwp7HQCo9qEGPe3YD+yC82k5Nj+XndnJ3qFBADgYlJpW9+XpBzjevYKCcDd2eh30zHYj6Rsx1/nsIMnGdWzvRFzs4Zk5xeSkmnfsJVbWMSSLXt4qFyHhGvbNMPJZNzfOjVtQGIF9/PqorZsi5ZwHj0p3vjuhW/CqZdteUdPTkA7e8ruXqaGNMN6+ABoVigsQDtzCqdu1zgsVqVtd/T9xneG2FPg7gHetqNT8PY1ntWxRicFfX84Srvuxr7CMv/2LmUazAMbop8+bPycEo9SN8C+DFANfv9rP6MGXIuiKHRu3YKs3DyS0zLs0v28eTsP3mq8iqiqSt063gBc3bEN7q5G3J1atSDxguNGiF0UFnGUUb27FJcvGheXL+zLl7kFhSzZ+AcPlesIdDbpAt2vagpA73Yt2LjvcLXEpbTvgb5vm/Hh3Elw96w4L7h5GPsBfd82lPZGI6LSrgf6HmNkjb5nS8l2AKXPCPSDuyCnzHPxQoLxH0BWurGvGvKIV5fO5J8pLRNdWLUGv0ssE9WWsGPnGNWxhZEnGtUnu6CIlGz7BhWv4gZSi6Zjtmpc7I7XPMCXZvWq//tVGa8unSkoc43TVq255HIngEfHDjgHBJC5LdyBUdpybtcBa5m6gIJNv+Ha/2/eq91K36spLChtNHB1Ra+hMqjSsiP6oV3Gh/gzlb+jxp+p+B21qPS5rji7OLzs7NetKznRZ8iNiUEzmzn300oajay8Ua7JLTcT8+NKh8b0X53avpO8tPTaDsNG2P5DjOrTzXjutWhCVl4+yRU8QypTdgRbfmERNdaxV4j/cdKQ8B8pimICBgFrijctx2g8QFGUBsBVQFhNxqTWD8SaVDqUz5qUiKmCF3nP28YTuGYjdZ54how355ZsNzVsRMDyn6n32Te4dOlWIzGbAgLRkhJLPmvJiagB9e3Sud96B/4/r8frsankLJhnt9914FAsx4+A2ezQeAGSM7IJqltakA30rUNSBS/r768J497B1+DuYt+4sWzrbkbP+YgXv15NZq7jKycULx/07DIvnTkZ/+5Fxrsu1PGD2BP/nLaaOAcFYo6PL/lsTkjAOcg+X/uOGEGrjb/RdPEinIMrn2qqOineddHLTtmSnWZco7K86xovj8X07LTSitWUeChuVFDa9jCu7UUNQ1EfnoP68Gy0dd9U+2gEgOT0LIL8yuTlunVIqqCQ9v7qMO4d0rvCvAyw72QM/nW8aBroX+H+6uAcFERhXGk+KEpIwKWCfFD3+pG0/30DLT5djEuD0nzg0iCY9r9voNO+v0j44KOaHY0AqAH10ZLL3uuSMFVwr3O9ZRy+P/yGx5Sp5C60HwVQExQvX/QyeZbsdPuKlks9V6c+6NGHqikye6p/AFpK6b+ldiEJxT+g0vTOw0Zh2Ws/rYR6VVtwckZPcPwUQe7BQRTExZV8LohPwD3Ydri1Z4vmeDUPpfevq7l2w1oCBhqVbJ7NQzFnZtJtyef03bKRNjNn1EjDmFIvED25zHVOSUKpIP9e5HL9GKPBoPz2QSMwb/7NITGWl5yTT5C3e8nnQC/3kkaCimQVFLE1OoGrQ+z/rp8PxdC3mf39prolZ2YT5Otd8jnQ15ukCjoqvL8unHsH9MDdpfIBxj/viqJv21CHxAmg+AegX0gu+aynJv/td68s7exJnLpeA66uUMcHU8duKPUceH3r+KFnpJZ81DPTbJ+3F9NkplWaRh16O6bnP0Tt3AeteHQCCedQL1YkN2oOvvXAp9x5q0FSajrBAaXP1yB/P5JSbSt9sopHH7y79CdufvJlnnj9Ay6k2zf0/rhpG/26Oa7R/6JLLl+s2sy9w661K1+0aBDI7weM6T827DlEYloFjdb/ho8fesaFko96Zir4lCu7+Pjb5peM1NJ/V29fuFiezs4ofTbW8UPt0At954bKf3dICzA5QWpi5WkukWtwEEXx5cpEwfbTdvhfP4JOYRtp9ZltmUh1daXjhnV0WLcav+HD7I5zhOTsPIJ8PEs+B9bxJKmChgSAB77dQN+3luHp4szQtk1rJL7yXCq4xs4VXGO/60fQIWwjLcteY0WhycwZnJs1xy69I6nl36uTEissa7qPvQP/levxenwq2W+Vvlc7teuI/4o1+C9fTfbrsxw/GgFQvH3Rs8uWOTOqXOZUuvZHfWgOyoCb0TZ/X80R2vIIDiKvTBkuLz4B90reOz1CGuHVpDFJ4dtLtpncXBm6ZSNDNv1Kw+tHODTWK1lSeiZBfqX5IMjPh+RKngPTP/2OMS8uYNGqTTYNYEs37WDo1Hm89d1apt812uExCwBF/qvSf1ceaUj499wVRYkAEoFA4OKEyuuAaxVFqQPcBvyk6/rFp29FTeMVNpcrivKgoih7FUXZ++0F+95G1SH3+2Uk3TSUrHcXUGeSMczYeiGZpBEDSbnjZjIXvE7deW+heHr+w5lqTv6Py0m9eTg5HyzE4z7bqVdMoS3wevRpsl+bWTvBVeBobCKxF9IZ3KWN3b5x/buz4dXH+fnFhwmo48WbP22shQj/HaV1N/STEbXWU7oymZs2c6R3H44PHUH29h00fntBbYd0SbQ1X6B2H4A66WVwcQOrpXRnXDTa4hlon81B7TPSePmsBUfPJRCbksbgrm0rTbNu90FG9uxQ6f6akrFpM5E9e3No0DAyw7cT+m7p9F1F8QkcGjSMqGv6Ue+2W3Gq5/i5df+Nwp++I2PsCPIWLcR9YsXTTF0plHa9UIKboO+6PO5xTgNHYGrZhqJy87grfv64T5tNwcLZl829TTGZ8Gweyp833cL+BybT8Z35ONWpg2oy4XdNL46+PIsdg0fg0bQJIXfcXtvh2nAecj2mVu0oXP6VzXbFvx5qaAssu6tnfvDqZNE0nvltL3d2aU6Ir23ZZ83RcxxKSue+bo5fy+hSHD2fROyFDAZ3alVpmsUbdmIyqdzYvV0NRnbprAd2Y9m3E/c3P8XtmTlYjx0yRidcxrSNK7C+PgUtYgfqNUbFq7Z1Nbh5YHr8ddTew411F7Tqb/S/FFZNI/FCGl1at+Tnd2bTuXUL3vzyO5s0a7b8weFTZ7n/5pG1EmN5R8/FE5ucxuCu9vn01Yk3892Wv7h19ofkFhTi7GSqhQgvQfEzQx09Eevabyp/hnj7Yhr/ONbvPqix50z6xk3s69GbyIFDydi2nZbvvV2yb1/3a4gadj0nJj9G0zmv4NqkSY3EdKk+vXMY26aOo8hq5a8zjp3v/r/I2LiJiB69OThwKJnbthNafI0DJ95Nxu9hJWsnXG7yf1hO6pjh5Ly/EM8y79WWw1Gk3n4Taffchue9D4CL/fS8lyN9/za0j2egb12J0vvyqZxvcvMYYtf8gl7mubCmQ1c2DhjKzkmT6fraHLyaNq29AP8HzJ88gTWvPcu3L01h3/FoVv9ROmvChCF92LhgOlNvv4HFqx27DpMQ/1/IGgn/Xr6u650VRfEANmCskfCeruv5iqKsB8ZgjEx4uswxqUBd4GIXGL8yP9vQdf0T4BOAuC6tq1TS1JKTMAWWtoibAoOwplTe6zZ/wzp8pxfPsWo2o2UaDRfmo4exno/FqUkzzEcc15MUwJqShBpY2rtDrR+ElpJcafrCjb/i/dzLZJekD8TnzffImvkC1jj7hZmqy7Ktu/lhh7HYbYcmDUgs08srKSOLwDI9CAEio2M5FBPP4OnvYNU0UrNzuWfBVyyZei/16niVpBvbpxuTFy1zSMxKp74oHYypAvSkc0aPj4s7vXxth15f6jlbdUX7/YfqC/ISmBOTcG5QugCwc3BwyaLKF1kzShvdUpd/R4PpjlsIWuk+EKWrMX2DHn8GpY5f6XX19jN6b5eVnQ51SkcpKN5+pT1vUhPRlhZXdvsForSsoJfghQQoKjTWpUg4+5/jX7blL34INwpZHZo1tOnll5SeRaCv7XDiyOhYDp2NZ/DzC7Fai/Py/C9Y8qyxMJ/FamXz/iP88JJj5/I3Jybi2rA0H7gEB1NULh9Y0kvzQcrS5YS8ZD/vsTkpifxjx/Hu1ZP0db86LuBytJRk1Ppl73WBWP/mXle06Tc8n51BbqUpqpfS7TqUzn0B0OPPotSpWyZf1y3tgXmpmrZBuXYk2rdv2TaQVTMtNQXnMiPv1HqB6KkpdulMXXriMm4i+c8+ZDtyzcMT99nvUPjVIrRjjn3eXZSfkIhbw9JFR90aBJNfrrKhID6B9P370S0W8s/Fkns6Gs/mzchPSCDr4GHyYozFrxN/XU/d7l2JXerYmRT1C0ko9ctc54BA9Aryr6lbL1zvfoDcx+6zGyHoPGAYlvAwh+aHZRHR/HDoLAAdAn1JLDMdUVJOPoFe7hUe98rmAzTx9eTuri1stu+MSeaT3cdZMrYfLg6qyFwWvo8f/jTmVO/QONhmOqKkjGwCfcqVL87EcehcIoNnLsJq1UnNyeWe95ay5PEJAKz8K4pth0/xxaN3OHQov56aglKvtKer4l+/wu9eZczff4X5+68AcH1mFlqc/YLu/4Vy9VDUnsaUHvr50yi+/ugxxft8/OwXgM9KM7bzN2kA/cAO1InPw+YfoTAf7cfFJftMz70PaZXf16ti6brN/LDRmIKnQ8tmJKSU9pBPTE0j0N929KOvtxfuri4MvcYYUTz82h78tGlbyf6dEYdZ/MMvfDNvOi4OmgZ0WdgufgjfY8TctNE/ly9Ox3LobByDp803yspZudzz5mcsmTaJ0OAAPps6EYCziRcIP3j8X8elXDsctddgAPTYUyi+9UrX/fLxh8xU2wMyU1F8S0cpKL7+cHG0ysXe0hf/X1yWVho1x3RX8aufpzdK665omoZ+aDe4umOa9CLab8tKpkv6rwoTEnFpUK5MVO45UrZMlLR0OU1mTC/5XJRopC08d46snbvw6tCOwpiYaomtrGW7j/DDfmMUc4cG9UjMLC3VJGXlEuhd+QL2rk5ODGzVmLDj5+jdvPKFuh2lqIJrbP6ba5y8dDkhxdfYq1s3vHv1JPDeu1E9PFFdnNFyc4md+7pDY9bKv1cHBv1tWbNg4694P/8yzLLdbj0bjZ6Xh1PzlliOVs+0YmUpXfujdDIWI9YTYowR3hd3lh31U0X6kb2oQ8ejs6R6Aq1AXkIiHmXKcB4NgslPqLixq8kto9n7jO076cXyXm5MDMk7dlK3Y3tyzp51WLxXkqWbdvDjVmNNkfahISSWmcIvMS2T+n72sykEFm/zdHfjhmu6cPD0OUb36W6TZuTVnZn11U8OjFyI/z+kIeE/0nU9T1GUx4FViqIs0nXdgjG90etAHYz1Ey7aCtwFvFw8JdKdwKrqjqno8EGcGjfB1KAh1uRkPIaNJO2FZ2zSmBo3wXrOKCi69b0OS6zxs1q3LlpmJmgapoaNcGrcBMt5x1XMX2Q5cginkCaoDRqiJSfjOnQEWTOm2cYc0gRrcZwu1/Yv+Vnx8sbn7Y/I/WAh5qgDDo1z/HU9GX+dMXx928ETLN26h5Hd2xN1Jg5vN1cCyr3oj+vfg3H9ewAQdyGDyYuWsWTqvQCkZGaXpN8ccZSWDSqfHuK/0CO3o0cWD6Vs1ha1cz/04/shuKkxn+Q/rIVgp259Y97KhDP/nLYa5UVG4tq0KS4hjTAnJlH3phuJeexxmzRO9QOwJBsVGD5Dh1Bw6nRFp6oW+t4w9L3Fs5a17IjaYxD64b+gYSgU5tk30ORkGvMrNwyFuGiUTr3Rdhf3ivDwhrxsQEHpeyP6vq3Gdt96xkurrhlD7usFQ0aFbY9VNn5AL8YP6AXAtqjjLN3yFyN7diAq+jze7m4ElGsUG3ddT8YV5/24C+lMfn9pSSMCwJ9Ho2kWXM9mCgNHyImIxLVZM1xCQjAnJuI/6kZOP2KbD5zr18ecbLww1R02hILiBbmdg4OwpKejFxRi8vHBu2cPEj/5zKHxlmc5eghTSGPU4IZoKUm4Dh5Bziu29zq1UWO080ZlmvO1/dBiq7di7e/o+7aW5r/mHVC7D0A/sgcaNDPyb0VrIVQmMAR1xJ1o371bnL8dRzt+BLVBY5TABuipyTj1H0LBG7aLHqrNr8LtsRfIe+lx9MwyDX1OTrjPmI8dJUNRAAAgAElEQVR5869YdtTcTISZByLwDG2Ge+MQChISaThmFPsffMQmTeKv62lwy2jOL1uBs58fns1DyTt7DnNmJs4+dXDx96coNZV6fa8lIyKykt9UfazHDmNq1AQluCF6ShLOg4aTN9v25Vht2Rr3Z14m79nJ6Bn2FbDOg0ZQ8Mm7Do1zfOdQxnc2pvPZFp3I0shoRrZqRFRiOt4uzgR4udkd8+4fR8gptDBnSFeb7UeSM5j1ewQfj+mNv4fjFpIf368b4/sZlb/bDp9iafh+RnZtQ9TZ+OLyhZdN+nF9uzKurxFrXGoGkz/5saQRYfuRaD7f/BdfPz6h0qnoqot28ihqgxCUwGD01BSc+g2h8K2X//lAMKbj8vSC7CzUpi1Qm7bAemB3tcan79qItXg0lNKqC0rvYcaaRiEtjIVuy1dUZWcY97qQFhB7CqVrP/Sd6419/kEl09Eo7bqjpxRPd+LmAeZCsFpRegxEP3PUdj2F/2DC9YOZcL1R+b11TwRL123m+n5XE3n8NN4e7tT3s536Q1EUBvTswu6Dx7i6U1v+jDpC8xCjsuvI6RheWfQln858Bn/fCuYerybjB17N+IFXA7At8hhLw3YxsmdHoqJj8fZwJaDc7x43oBfjissjcRfSmfzu1yyZNgmA1Kwc/Ot4oWkai9du4bb+/36hc/2P9Vj/MP4tlTZdUa4dgX5gBzRuWXleKMgz9p87idKtP/oOY0o2/fBelB4D0MNWGv8/bDScWOeV3sPVcY+iH9lrNCKYnFAnTkPbuxU9ate//hvKy4mIxD20Ka6NQyhKSKTe6Js48chjNmnKlon8hg0lv7hMZPLxQcvPRy8qwsmvLt49uhP34UfVFltZ43u2ZXxPY0TrthOxLN1zhJHtQ4mKS8Hb1YWAcg0JuUVm8grNBHh7YNE0tp08T7fGjp9WriI5EZG4lbnGfqNv4vTfXOO6w4aWlDtPTyktn9a7fSyenTo6vBEBwHzkEKbGpe/VbkNGkPl379V9+pfUC6gNGhrTIlmtqEENMDUNxRofZ/c7qoO+fxv6/uKGzubtUbteh350b3GZs4rvqHXrQ3pxY0mL9qU/O0ja/gN4Nw/Fs0lj8uMTaHzLGHZOsu9M5d2yBc6+PlzYvadkm7OPD9b8fLSiIlz8/Ajo1ZOj737g0HivJBOG9GHCEKOBaWvEEZZt+oORV3ch8vQ5vD3cqF/uGWKxWsnOy6eutxdmi5WtEUe5pp0xevRsYgpNg4zpFrdFHKVJ0OU5El2IK400JFQDXdcPKIoSBdwBfIMxzdHXwOe67QpFc4CPFEWJxJgMaz3wbbUHZLWS8cYc6i36HFSV3NU/YYk+hffkxzAfOUTBti143T4B117XoFss6FlZpM8wKgJcuvagzuTH0C0W0DQy5s5Ez6qm+Uj/Iebs+XPxfe9TFFUl/5eVWKNP4fngo5iPHqZo+xbcx47HpefFmDPJmmX09nC/bTxOjRrjMekRPCYZBfiMxyahpzt2Ebl+7VsSfugkw2e8j5uLM3PvGVWyb8yri1n5Dz2z3/p5M8diE1EUaOjvy8wJNzg0XgDOHEFv1g71vpfBUoS2YWnJLvXOaWjfvgmA0vcmlNbdwdkZ9YHZ6If+RP/TeHlSWnczGiJqmtXK+RkvE/rt1ygmE2krvqfgxEmCpj5FXtRBsjZtJmDiROoMGQxWK5aMDM49/cw/n7c6nIxCb9ER9dHXwVyEtuaLkl3qgzPRPpkJgPbrt6ij7gMnF/RTB+HUQQCU9r1QehT3mDy2Hz3CmFNcCWmJMm6kMdWDrqP9+g3k2y+4+V/163AV4QdPMvzFd4y8fO+Ykn1jZi1i5SuP/M3Rht92H2RkD8fPt4zVSsz0GbRe/g2YTKR8t4L8Eydo+OzT5EYeJGPjJgInTcR36BBj4c+MDKKfnAqAe8uWNH7lJWM6AUUhYfEn5B/7970b/238uQvmUeedj0E1Ubh2JdYzp3F/YAqWo4cx79iK263jce5xNVgs6NlZ5MyZ/s/ndYTTB9FbtEedPNfI12u/Ktml3j8D7XNjzl9lwC0o7XqCswvqo2+gR+5A3/4L6sBbwcUV9ebi4fKZaWg/fuiYWDUrBYvexGPue6CaMG9cgxYTjctdD2E9eRTrrnBcJz0B7u64v2i8xOspieTPnIpTvyGYOnRBqeOD8xDjPlywYBZatGPXgNGtVg4/N51ePyxHMZmIXfYdOcdPcNXzz5IZEUnS+o2khG0hYEB/+u/chm61cvSVOZjTjUaQI6/M5uqV34OikBkZxbmvl/7Db6wGViv578zD862PjOv86yq0s6dxve8RrMePYPljK+6Tn0Zx98Bj1luAseZR3gtGZYoS1MAYhROx1/GxFuvXLJDws4kM/3ITbk4m5g4tbSgY820YK+8cSGJ2Ph/vPk6onxe3LDUWUJ3QKZRbOzTlrfBD5JktPLXOqOBu4O3Oh6MctyAwQL+2zQk/HM3w2R8b9+QJpVPQjHnjC1Y+d9/fHA2v/rgRs8XK/YuMKW06NW3AzNsrXwTyP9GsFC5+C/dZ74KqYt68Fu3cGVwmPID15DGsu7ejtmyD2/Q3ULy8cerRB23CA+RPGQ8mJzxe/xgwFpkvXDDToVMb6ccPoLTujOnZd8FciPWHMqMIHn8d63tGWdi66gtMYyeDswv68Qj04xEAqCPuQKnXAHQNPeMC2srihuj6DTGNfQTQ0ZPOo/30sUPi79+9E+H7ohj60LO4uboy7/FJJftGPzGDVe8a9+Sp99zGcws/Zt5nS/HzqcO8J4x087/6jrz8Qp58w7gPBwf48dFLTzkk1ov6dWxF+METDH9hoZGX77u5ZN+Yme+zcuZjf3M0/PpXFMu2GBXvQ7q24+Y+1bN2m350P0qbrphe+NDIC9+VPptMT7+FdaFRfrT+9CmmcY8aeeHYAfRjRvlXC/sZ9e6pqD0HoaenoH3991NpKp16o4S2RfHwhh7GWjfW7z4wpsH6L6xWoqfPoO3yb1FMJpKWryD/+AlCpk0lJyKK9I2bCJ40Eb9hQ9AtRtn41BPGiAmPli0Inf+6MQ2XqhL3/ofkn6iekRJ/p1/LRoSfjGX4+z/i5uzE3FF9S/aNWbyKlQ+PJr/IwpTvNlNksaLpOj2bBnN799YAbD56lrm/7SItr4DJyzbSOsifT+904PoOVitnp8+gVfE1Tim+xg2nTSU3IoqMjZsImjQR3+JrbM3I4PQTT//zeR3JaiX7zbnUfe9TMKkUrCl+r37oUSxHD1MYvgWP22zfqzOL36tdOnXF894HSuoCst+Yg57pmGmWbZw+hB7aHvWhOUaZ89fS0QTqxBfRvjTWc1Suu9lYT87ZBfWR19Cj/kDfsdYYUduktfEMKchDW/eVQ8PVrVb2Pvs81/20AsVkIvrbZWQdO06H6c+RdiCCuN+MdVKa3DKGcz/Z9hv1aXUVPd6ej67rKIrCkXfeI+t4za07WJn7l33BVdf1waueP6/FHuWXV+ax84tv/vlAB+rfqQ3hEUcZ9sxruLk4M++BcSX7xry4gJVzp1JktjDpzU+xWK1YNY3e7a5i7ACjMXvZpj/YefgEziYTdTzdee3BO2rrTxHif4qiXybzAIvKVXVqo9rm7HzlLb3h/8ZLtR1C1Ryovt5MNeXg22v+OdFlpsMDA2s7hKq5rmYWyqtO+25/trZDqLLmTR3Xk9MRfG/sXdshVFleuGNHlznCtj2OX6C5OvVtd2kL4l5OvMZfHnO6V0mzytcwuBzlf+CYSnBHcmvXtLZDqBLTxCdrO4Qq01KurPsbgL7SsVO9VbfdS6t3NE5N6LXw0doOocr2Pn1l9fxuGuL9z4kuM/Vu6VfbIVTZ96//XNshVMm2zILaDqHKFv3lmGmcHUntecOVuRJubUuNu6LqL2udf8MrLp/JiAQhhBBCCCGEEEIIIYQQ/54D1+YSl4crr+u4EEIIIYQQQgghhBBCCCFqjDQkCCGEEEIIIYQQQgghhBCiUtKQIIQQQgghhBBCCCGEEEKISklDghBCCCGEEEIIIYQQQgghKiUNCUIIIYQQQgghhBBCCCGEqJRTbQcghBBCCCGEEEIIIYQQ4gqmKLUdgXAwGZEghBBCCCGEEEIIIYQQQohKSUOCEEIIIYQQQgghhBBCCCEqJQ0JQgghhBBCCCGEEEIIIYSolDQkCCGEEEIIIYQQQgghhBCiUtKQIIQQQgghhBBCCCGEEEKISjnVdgBCCCGEEEIIIYQQQgghrmRKbQcgHExGJAghhBBCCCGEEEIIIYQQolLSkCCEEEIIIYQQQgghhBBCiEpJQ4IQQgghhBBCCCGEEEIIISolDQlCCCGEEEIIIYQQQgghhKiUNCQIIYQQQgghhBBCCCGEEKJSTrUdgBBCCCGEEEIIIYQQQogrmKLUdgTCwWREghBCCCGEEEIIIYQQQgghKiUNCUIIIYQQQgghhBBCCCGEqJQ0JAghhBBCCCGEEEIIIYQQolKKruu1HYP4B9Ylc66ofyTr9h21HUKV6UWW2g6hypx6dK7tEP7n6WfO1HYIVWJJyajtEKrMecSw2g6h6ho3r+0IqmTvrU/VdghV1nPX2toOocr0lLjaDqFKsqdNr+0QqmxzZGJth1BlTlfYNLGN3VxrO4Qq67Tmk9oOoUqO3Ta5tkOosrScotoOocqumX13bYdQJco1Q2o7hCr7uu9ttR1Cld31/Zu1HUKVKMFNazuEKst/5aXaDqHK3Ge8UtshVI3lyrsnP9JrfG2HUGWL9awrrBR3mchIuqLqL2udb+AVl89kRIIQVyBpRBBCCCGEEEIIIYQQQtQUp9oOQAghhBBCCCGEEEIIIcQV7IrrXy+qSkYkCCGEEEIIIYQQQgghhBCiUtKQIIQQQgghhBBCCCGEEEKISklDghBCCCGEEEIIIYQQQgghKiUNCUIIIYQQQgghhBBCCCGEqJQ0JAghhBBCCCGEEEIIIYQQolJOtR2AEEIIIYQQQgghhBBCiCuZUtsBCAeTEQlCCCGEEEIIIYQQQgghhKiUNCQIIYQQQgghhBBCCCGEEKJS0pAghBBCCCGEEEIIIYQQQohKSUOCEEIIIYQQQgghhBBCCCEqJQ0JQgghhBBCCCGEEEIIIYSolFNtByCEEEIIIYQQQgghhBDiCqYotR2BcDAZkSCEEEIIIYQQQgghhBBCiEpJQ4IQQgghhBBCCCGEEEIIISolDQlCCCGEEEIIIYQQQgghhKiUNCQIIYQQQgghhBBCCCGEEKJS0pAghBBCCCGEEEIIIYQQQohKOdV2AEIIIYQQQgghhBBCCCGuYIpS2xEIB5MRCUIIIYQQQgghhBBCCCGEqJQ0JAghhBBCCCGEEEIIIYQQolIytdH/KF3XmbdpL+Gn43B3cmLejdfQNsjfJk2+2cJTP4cTm56DqioMaNmIpwd0ASA+M5fpv+wkq7AITdN5akAX+rdoWK0xKu2643THw6CasG7/De23720TODljuv9Z1CYt0XOysHw8D1KTUHsNQB02tvQ8jZphmTMFPTYapyfngo8fqCb0k4ewLv0AdK1a4y75vR164HTnFBRVxbrtV6xrv7Pd36oDThOmoISEYln0Ktqe8JJ9zs+8htK8LdrJQ1gWvuiQ+P6JruvM236Y8Jhk3J1MzBvUmbb1fWzS5JutPLV+H7GZuUYeaRrI073bXHZxArzz5zHWHD9PZqGZfQ+NKNkel5XHS2GRpOcX4ePqzBtDuxDk5f6f41Jad0EdfR+oKtquzehhK20TmJxQxz+BEhIKudlYv14A6SnGsYNuRu01CDQNbeXn6McjwNcfdfzjKF6+gI725yb07esAUIfdjnL1YMjJAkD7dSn60f3/+W+4SO3QA6e7HgVVxbr1V6xrl9v+ra064nynkZfNH86xzcvPvo7avC3aiYOYaygv67rOvPV/EX4yFndnJ+aN7kvb4Hp26R78dgMpOXlYNJ1ujQOZMfIaTKrK+sNn+HDbAaJTMljxwE20b2B/rENiXr6O8IPHcXdxZt59t9C2SeX31CnvfUNsShpr5jwBwNFz8cz6Zg2FZjNOqsqMO2+iY2iIQ2P2GXAdTebMRDGZSF66nIQPFtnsr3f7WBq//CJFCYkAJH3xFSnLSu+DJi8vOoaHkbZ+AzHTZzg0VjCu8dyPviR89wHc3Fx5beojtGsZapeuyGxhzoefszvqCKqi8OS94xjW92oAftu2kw++/QEFhVahTVjwwhMOj3neNysJjziKm6sz8x68g3bN7P9d7371A1IysnBzcQbgs+cext/Hm+9+/4Nlm/7ApCp4uLky6/7baNEwyKExO/Xojduj08CkYl63ksLlX9rsdxl7Jy4jx4DVip6ZTt6bM9GTEgCos3kf2plTAGhJCeS99KRDYwUIHDSATvPmoJhMnPlmKSfe/cBmf8e5swjocy0AJnd3XAPq8UuzVgBc+8My/Lp3I3XXbnbecZfDY72o/sABdHhtDqgmzn27lJPlYgZoMOomWj/3DLquk3XoMPseegSAtq+8ROCQwQAcf+tt4letrrG4L/K+rj+NZr+CoppIXf4dSR9+ZLPf77ZbafDSdMyJxr3jwpdfk7r8u4pO5TC6rjPv658IjziCm4sL8x6eUPF3b857tt+95x/B38ebldv+Yv6yVQT6+QIwfmhfxg7o7dCYPfv1I2jGyygmlfQV35P68eIK03kPG07IokVEjx5FwcGDODdsSPONmyiKjgYgLyKCxBkvOTRWAN8B1xH66iwUk4mkpcs5//6HNvvr3z6WZi+/RGFxPkj44iuSli7H59reNJv9Skk6jxbNOfbwFNJ+2+DwmHVdZ96WSMLPJOLubGLesO60DaxrkybfbOGptX8Rm1H8/hQazNN9OwDwXWQ0yyNOo6oKns5OzBzSlRb+dRwf85ffE77/EG6uLsybcg/tQhvbpbv7lQWkpJfJyzMex9+nDq999T27D50w/raiItIys9m95G2Hxdtw0EB6vjEXxWTi5NffcvDt92z295g3h+C+fQAwebjjXq8ey5q0AKDb7JdpNHQIiqoSv2Ubu5+b7rA4y9J1nXk/bSb8yGmjDDfhetqGVP6snfLJj8SmZrDmhUkAzF8VxtZDp3B2MhFSz5e546+njoeb42O+gvKFqUsvXO5/ElQVy+ZfMP/8rc1+tW0nXO57ArVpcwoXvIL1z60l+5zvfgSnbr1BVbBG7KHo83ccFmdZuq4zb8lPhEccNp4jk++s+Dky+13b58gLU4qfI7uYv3Q1gX7Ge+34of0YO9CxzxGj3LmK8MijRr54cBztmjayj3nuItuYpz1YXO7cybLNf2BSVTzcXJh131iHlzv/zl2ff0iHG4aTnZzCnA5X11ocQvx/c1k3JCiKEgi8DVwNpANFwJu6rq8s3v8OMBYI0XWjtlhRlHuB+UAc4AwcBe7WdT1PURQFeBG4B9CL0zyq6/rh4mPPAtnF+9KLj4v5m/heBMYDVkADHgKeB5oBXkAAcKY4+SPAPCAYKARcgM3AS7quZ/yHy1Sh8NPxxKRls/7hUUTFX2DW+t2suHeEXbqJvdrSq2kQRVYr9y3dTPjpOPo1b8jHfxxkeJsmjOt2FadSMnj4+y30bzGm+gJUVJwmTMG88AVIv4DTS++jReyChHMlSdQ+wyA3B/P0iag9+mO69X6sH89D+2sL2l9bjNM0bIrTlFfQY42XI8viuVCQB4DT5Bmo3fui7dlWfXGXid/57scpenMapKXgPGsR2v4/0eNLs4uemozl0zcxjRhrd7jl1+9RXNxQB95Q/bFdovCYZGIycll/5wCikjKYte0gK8b2sUs3sUsovRrVo8iqcd+qXYTHJNOvSf3LLs4BzQKZ0LEpw7/dYrN9/h9HGdWqEaPbhLDr/AXe/vMYbwzp8t+CUlTUmx/AungWZKZieupNrIf3QNL50iS9BkN+DtZ5U1A6X4t6w91o3yyAwEaoXfpgfeMJ8PHD9PBMrK89ClYNbfUSiIsGVzdMT72F9URkyTm1bWvRtzqgQkhRcbrnCcxvPIueloLL7I/Q9u+0ycukJmH+5A2cRt5md7h13Qqsrm6YBtRcXg4/dZ6YtEzWP3YrUXEpzFq3kxWTbrJLt3DsALxcXdB1nSd/CGPDkbOMbB9Ky/p1ee+2Qcxc+0fNxXzwBDFJF1g/72miomOZ9c0aVrw0ucK0m/YdxsPNxWbbgh828MhNA+jXoRXboo6z4McNLJk2yXEBqypNX3uVY7eNpyghgXbr15KxcRP5J07aJEtd/UuljQSNnnuGrF1/OS7GcsL3HCAmLpENX75H5LGTzHr/M75/b55dusXLf8bf14cNX7yLpmlkZucAcDYugU9WrGLZwjn4eHuRmpHp+JgjjxKTmML6BdOJPB3D7K9+ZMWspypMO/+RO2lfrhLghmu6MW6QUQketu8Qb3y7mk+fe8hxAasqbk+8QO6zD6OnJOG1eCnmndvQYqJLklhPHiPn4QlQWIDLTWNxe+hJ8mc/Z+wsKiTngdsdF18F8XZ+8zV23HwbefEJDPx9PQnrN5J9/ERJkqgXSyssmz9wP74d25d8PvH+Ipzc3Wl27901GnPHN19j5y23kR+fQP/N60ksF7NnaDNaPvkY20fciDkzE5d6RmNo4JDB+HTswNb+g1BdXbl2zc8k//47luI8XlPxh8ydw6k7JmBOSKTVr2vI3LiZgpO2946MNWs5/9LLNRdXOeERR4zv3sIZRJ46y+wvvmfFnKkVpp0/5W677x7AiKu7MmOifRnPIVSV4JmziLnnbsyJiYSuXEX275spOnXKNpmnJ3733kvegQM224vOxRB9Yw2WOVWV5q+/yqHbxlMUn0DnDetI3bDR7hmSsvoXoqfbNmpk/rGTiEHDAHDy9aXbrh1kbHVAWb4C4WcSicnIYf19w4hKSGPW7wdYMX6gXbqJ3VrSq3F9o2z8YzjhZxLp1yyIG1qHMK6T0YAddjqeN7dG8ckt9mXWao35wCFiEpJZ//5sIk+eYfany1jx2vMVpp3/xH20b97EZtsL95aW7b79bQtHz8Q6LFZFVem14HU2jh5LXlw8N2zZyLlf15NZ5v62p0yZovWDk/DvaDTSBPTsQf1evVjTuz8AIzasJahPbxJ37HRYvBeFH4kmJiWd9TMeIupsPLO+38CKqfdUmHZT5HE8XG3LcL1bNeOpG6/DyaSyYPUWPt30J1NHDXBszFdQvkBVcXlwKgUzn0RPTcbtzc+w7N6Bfv5sSRI9JYnC9+fiPOoO20NbtcfUugP5TxnPabd5H6G264J22PYe6AjGcySZ9W+/bDxHPl/BilefqTDt/Cn30L55Bc+Ra7owY6L9+5WjhEceM95H3nqByNPnmP3lT6yYVXGnmfmTJ9C+XKelG3p3Zdwgo7EjbP8h3li6hk+nPejwuCvz51dL2frBJ9z79ce1FoMQ/x9dtlMbFVf6rwLCdV0P1XW9GzAOaFS8XwXGALFA/3KHr9B1vbOu6+0wGh8uvrVOAXoDnXRdvwp4DVijKErZLgEDdF3vCGwFKu2uoyjKNcANQNfi9IOBWF3Xx+i63hmYBGwvjqOzrusXSzkTitN3xGhQcEhXsbATsYzq0AxFUejUMIDsgiJScvJs0rg7O9GrqdGC7GIy0TbIj6Ss0jQ5RWbj/4Vm6ldDD+6ylGat0JPj4UIiWC1ou7eidr7GJo3a+Rq0nZsA0PZtR23d2e48as8Btg0FxY0ImEzg5Lh2MqV5a/TkOEhJMOLftQW1a7keBBeSjAYOXbc7Xj9yAL0gz257TQo7k8So1o2MPBJUl+xCMym5BTZp3J1N9GpkVFC4mFTaBtQhKSf/sosToFNQXQI87Xv3nE7PLvkbejX0Jyw66b8H1bgF+oUESEsy/v0P7EBp39MmidK+B9oeo1FDj/oTpWWH4u090Q7sAKsF0pKN8zRuAdnpRiMCQGEBevJ5FB/bUUSOoDRvjZ4Uh16cl627wlC72eZlvSQv24/u0Y4cgPyazcthx84xqmMLI080qm/c37LtY/AqfpGzaDpmq8bFZZ+aB/jSrJ79qBZHCos4yqjeXYyYmzcmO6+AlIwsu3S5BYUs2fgHD91g+4KpKJCbXwhATn4B9X29HRqvV5fOFJw5S+G5c+hmM2mr1lB32NBLPt6jYwecAwLI3Bb+z4mrye9/7mXU4H4oikLnNleRlZtLcmq6XbqfN2zhwXGjAVBVlbo+Rm/RH377nfE3DsPH2wsAf1/H55GwfYcY1aeHEXOLpmTl5pOcfukNGF5lejTmFxY5fG0zU+v2aPGx6AlxYLFgDtuA87XX2aSxRuyFQuMebTkShRoQ6Nig/oZfty7knjlDboyRj8//vIoGI4ZVmj7kltHE/lQ6uiwlfAfmnNyaCLVE3a5GzHnFMcetXEVQuZib3HUnZz7/EnOmkVeKLlwAwLvVVaTu3IVutWLNyyPr8BHqD7SvBHUkjy6dKTx7lqJzsehmM+mrf8Fn2JAajeFShO07yKi+PY3vXstmZOVV7btX09w7daIoJgZzbCyYzWSuXYv3YPvrGvDU06R+/DF6YWEtRFnKu2vxM6Q4H6esWo3/8Et/hlzkf+P1pIdtQcu3L/c5QtjpBEa1bWI8qxv4G2XOcuVed2cnejU2OtS4mFTa1vclKdtI4+XqXJIu32yFGlhvMmxPFKP6X23k5atCq/wcKWvdjj2MvLZ7NUdYql63rmRHnyXnbAya2cyZn1fR+Hr7jm4Xhd46huiffjY+6DomN1dUFxdUV1dUZ2fyk1McFmtZYQdPMqpneyNfNGtIdn4hKZn2DbS5hUUs2bKHh4balqOvbdMMJ5NR7dKpaQMSM7IdH/MVlC/Ulm3QEs6jJ8WDxYJ1x+849exrk0ZPSUSPOV3Be7UOLi7Ge7+TM5ic0DPTHBZrWVfacwSMyv9RfboVlzubGDFX8D5SGS/38uXO2l1U99T2neSl2aLsEucAACAASURBVJf1hRCOdTmPSBgIFOm6XjJut3h0wPvFH68DDgMrgDuALeVPoCiKE+CJMboA4Dmgv67recXn26goyk5gAvB5ucP/BB7/m/iCgQu6rhcWn+tCVf44XdeLFEWZBpxSFKWTruuRVTn+nyTn5BNUx7Pkc6C3J0nZ+QR4eVSYPqugiK2n4rirR2sAHu3XkUnLw1i69zj5Zguf3zGoOsODuv7o6WUKf+kXUEJbl0tTrzSNpkF+LnjVKZneBUDt0Q/LBzNtDnN6ci5Ks1Zoh/ai7d1evXEXU+rWQ08tjV9PS0FtXrNT/vxXyTkFNlP8BHq5kZRTUGFlPEBWoZmtZ5O5q1OzmgoRqHqc5bX2r8Pm6ATu6hTK5uhEcs0WMvKL8HV3+eeDK6H4+ENGaumGjFSUJi3RK0ujaUYjl6c3io8fekxpzysyU1F8/G2OpW4ASsNmaGXSqX1GQPf+6LGn0dZ8ZXwfqoFStx56WnLJZz3twmWfl5Oz8wjyKXN/q+NJUnYeAd7297cHvt3AwbgU+rZoxNC2TWswSlvJ6VkE+ZVWTAfWrUNSRhYBvrZTHry/ajP3DrsWdxdnm+3Pj7ueB97+ivnfr0fTNZa+4MBe54BLcBBF8fEln4sSEvDsaj+Sx+/6EdS5uhcF0dHEvDyLovgEUBSazJzB6SmPU6dfX7tjHCXpQhrBAaXTVAXV8ycpNY36/qXTUmQVVwq/u2QFe6KOEBIcyIwp91Gvri9nzxt/7x1PzUDTNB69cyx9e9g3YFdrzOmZBPn7lsbs50tyeib169o3Ykz/5DtMqsKQHp2YPHpIycvb0k07WPLbVswWK19Of8Sh8Sr16qMnJ5Z81lKSMLXpUGl6l5FjsPy1o8wGFzwXLwWrlcJlX2L5w67oVq3cg4PJiyvNx/nxCfh161phWo9GjfBo3Jjk8B0V7q8pbsHB5JeLuW65mL1aGD2e+/y6BsVk4vgbb5EctoXMQ4dpNW0qpxctxuTuTr0+19qMZKgJLkFBxn2gWFFCAp5d7O8dviNH4NWrJwVnzhA3czbmMsfUhKT0TIL8LvG79/FSTKpqfPfGDCv57m3cE8neY6dpGhzA83fdTLB/Xbtjq4tTYBDmhNJrZElMwL2T7f3JrV07nIODydm6Bf8HHrDZ59IohGZrfkHLySFl4ULy9u5xWKwALkHBFJb5Ny2MT8S7gmdIvRtG4HNNL/JPRxP98kybvAMQMPom4hZ/4tBYy0rOySfIu2yZ090oc1bSoSqroIit0Qnc1aVFybZlEadZsu8kZqvGF2Md/wxMSssgqEzeC/L3JTkto+K8/OESIy9f3YXJt4y0qQSMS0nlfPIFrm7f2u646uLRIJjcuLiSz7lx8QR071ZhWs+QRng1aULiNuNdLmXPXhK37+D244dAUTj66edklhvh4ijJmdkElenAEejrTVJmNgE+Xjbp3l8Xzr0DeuDuUnkVy8+7ohje1fHl7CspXyh+AegXyryLpCajXtXuko7Vjh9GO7gfjy/WAArm335CP1/phBLVyu4a+/mSnFbZc+Rb4xr37Gz7HNkdyd6jp2kaXJ/n73bscwQqevb5GDH72k/BNv3T74qffR2ZPGqwbblzfThmi4UvX6h4dLX4/652G5iE4122IxKAdsDfTQJ+B7AcWAlcryhK2VqX2xVFicCYusgP+EVRlDqAp67r0eXOs7f4d5U3HGNERGU2AiGKopxQFGWRoijlR0X8I13XrUAk4Lgn8yWwaBrPrNrBnd1bEVLXKCStO3yW0R1D2fLYzSy+bQDPrdmJVkHP+tqkNGuFXlRoOwULYHnnRcxT70BxckZp49hKoP8vLJrGMxv2c2fHpoSUqcC9Ejx7bVv2xKVx83fh7IlLJdDTDVW9jB9uLm6Y7p2GtuoLKDR6uGl/rMc69xGsC6ZCVjrqTffWaohXkk/vHMa2qeMoslr560zNVlRV1dFz8cQmpzG4q/0j6butu3n+9pGEvTWN58Zdz4yvVlZwhpqVsXETET16c3DgUDK3bSf0PWPu3MCJd5Pxe1jJ2gmXE6vVSuKFVLq0bcXPH75B5zZX8ean3wBgsWrExCXw9fxXWPDCE8x45+OShofaNv+RO1nz+jS+nfEY+46fZvWOvSX7Jgzpw8aFLzF13A0sXrWxFqO05Tx4JKZWbSlcsaRkW/a4keQ+PIG8V1/A/dFnURvYz8tbWxrdPJq4NWuNht/LnGJywqt5M/646Wb2PTCZzu+8hVOdOqRs3Uby5t/p+9svdPv0I9L27EW3Wms7XDuZmzZz+OprOTZkONnh22nyzsLaDqlS86fczZo3XuDbl58wvnvbjQr467q25/d3X2H1G8/Tu0NrXvjo2384k4MpCoHTXyRp3ly7XZaUFE727cOZm24kad5cGr7zNqqXVwUnqVlpGzexp/s1HBgwhIxt4Vz1vu285s716+PZujUZW2pmWqOqsmgaz/y6mzu7tCDEt/R6ju/cnA33D+f/2LvvMKnK843j33uXqiCKIkVBsDcUOxosiC1GI1hiIZYoMclPjdh7r7EkthhLYtQo2BGTKHbB2KkiggqKWMCCoBQVdvf5/fGeYWeHmdldZPe8szyf6/Ji55xdvB3Pzpx5y/OcuvPm3P7GlBQT1nTtH4/liT9fyH2Xnc6YyVMZPqpm6cEnXxnN3r23prw8juGBHgcN4OPh/8aS1+S26/ag3YYb8tCmW/LQJlvQeZc+rLljPDXRJ3/6BZ98PZc9ttyo4Pfc9vSrlJeXsf+2dRskbwyldl3kUqe10NrdWThoAAsH9ae85zaUbbJl2rFquPbEo3nimnO576LBjJkyjeEvvwnAblv35PmbLmb4NeewU8+NOOfWf6WctNq1fxjIE1edwX3nn8CY9z5k+CtjlpwbuGcfnrn+XE47dD9uG/5ciimdc2mJeUdCDZL+CvQhlCr6GbAvcKqZzZP0BrA38J/k2x80sxOT8kh/Bc4Abs3z1+bzoqT2wHygYHdIM5svaRtgZ6Av8KCks83s7vr+p+U9KB0PHA/wt2N+yW93q3074ZDR7/Hw+FArtWeX1Zn1XfUAyBfzFtCxbf7VNBc9+QbrtG/LUdtXr454dMI07jgsbIfvtXYHFlVWMmfhj6xex1XgtZozG63Wofrxamtgc3I2dcz5Gq3WIRwvK4PWK9fcjbD9blS9+VL+v79iMVXjX6Os145Uvrv8mtJm2Jyv0erV+dW+w9L5IzTk7ek8/G7oQ9FzzXbMytqu/cX8H+jYJv//34tenMg6q67MUb2WblwaU8581mzTipv2Db8/CxZV8Oy0WazSsnktP1WcfTsbrZpVdmjV1ZfaRmvfzoZVV4dvZ4frt9VKsGBe+L5Vs5r7tls9fC9AWTllx5xB1dhR2MSsG/n51dtkq15/lvJBy6+psc35GrWv7nmh9mvU3C0UiSFvvsvDY8PK2p5d1mDWt1mvb98toGOe3QgZLZs1Y/eNuvHCezPYab3l2zS+mCEvvM7Do8KgU8/uazPrm+r/j1/M+Y6OOat/Jkz7hHemf8YeZ15LZVUVs79bwNHX/J17zhzE8FfHcu7hvwBgn20358IGnkhYNHMWLbp0WfK4RefOLM6ZGKiYU93e58v7h9L1gtD0sM0229B2h+3peMxRlK20MmUtmlO1YAGfXHH1cs95/xMjePip5wHoueF6zPyq+nV41tez6bh6+xrfv+oqbWndsiV7/SyUIttn5948OuIFADqt0Z4tNt6A5s2asXanNem+dmc+/mwmPTdan+Xp/mf/xyMvvgbA5ut2Y9bs6udxVoHVgpmGriu3bsV+O23DxA9n0H/n7Wp8z769t+KSfz6yXLPmsq+/RGtWN9Ur69CxxirCjPKtd6DlrwexYPBxsHhxjZ8HsJmfUTF+NGXrb0zV558u9fPLy/czZ7LSWtXXcesunfl+Zv4Jxa4HHsC4M89psCx19cPMmbTOyfxDTubvP/+cuWPHYRUVLJwxg/nTPqTNeusyd9x43v/zjbz/5xsB2Ob2W5k/LXf9TMNaNGsWLbp0XvK4RefOS5oqZ1RmvXbMHvIAa53XOM/7/c+Mqvm79019f/e2ZeK0j+m/y/as1rZ6UcXBfXfkuiEN29S64otZNO9c/bw269SZxV9Ul2osW7kNLTfckHWGDA3nO3Sg6+138MnvjueHiROpXLQIgB/eeYdFH8+gRY8e/DBxYoPlXTRrJi2zroOWXTqxaFbN6zj7PWTW/UPpfmHNe5sOB+zP7KdGYBUVDZYTwg6ChyeGlnY9O67GrHnZ95zfF743fnYs66zahqO23iDv+X037sqlzzdMnfb7R7zEI8+F3VObr78Os7LK+M2aPZc1s1YcZ3RMVjqv3LoV+/XZjokffET/XasH4p96ZTQXDDqsQfJmLPx8JiuvVX0ftvJaXVhY4DW5x0EDeP20s5Y87rbfvnz11mgqFoT7v8+efZ41t9+WL197vUGyDhk1hodfCwUDenbrXKMc0Rdz59GxXc0SkxM++ox3Zsxij4tvpbLSmD1/AUffdD/3/HEgAMPeeJuRk6Zy14mHN1g5mFK9Luybr9AaWZ9FVl+zxs7/Ypr13pWq9yfBD+H3tnLs65RvtBlVk5drsYcl7n9mFI+8ECpWh3u4rOf4m7ms2b6W95GfbZO8j+xQ831k950a7H3k/mf/xyMvvZFk7prz3vdtgcztqjPvuBUTp82gf5+a41H79u7FJXc/2iCZnXNxi3NqOZgELNnLbWYnAP0IDYz3BlYFJiYNkvsQdijUYGYG/BvYxcy+AxZIyh0J3Sb5d2X0BdYBxgOXFAtoZpVm9pKZXQScCBxUn/9ASeVAT0JD6Ny/+w4z29bMtq3LJALAEdtuxLBBv2DYoF/Qb8O1GT7xI8yMCZ99RduWLfKWNbrxpfHM/3ER5+xZ89/ReZWVeX16+OA37etv+bGikvYrtazPf15RNv091HEtWKMjlDejbPvdsAk1bwSrJrxO2U6h/mvZNjtTNSXrhkCibNtdak4ktGwF7ZJBo7IytMX22MyGaQxlH05J8ncK+Xv3pWpcwzf7+qmO2KI7ww7bhWGH7UK/dTsxfMqn4RqZNYe2LZrlLRd04+tTmP/jYs7ZufFWzyxLzkLmfL9oyW6aO8dM5cBNu9byE3XwyVTUoTO0XzP8/9+qD/ZOzTIBNuktyrYLde61xY7Y1PCB3d55i7Kt+kB5M2i/Zvh7ZoQJwLJDT4AvP8NG/rvmv69t9TZX9dwBmzWD5cU+nBJW83QI13J5792pGvvacvv7l5cjtt+UYb/vz7Df96ffxusw/O2p4Zr49Mvw+pYzkbBg0eIlfRMqqqoY+cGnjd4X4YjdezPs4pMYdvFJ9NtqE4a/Oi5knjaDtiu1XKqs0WF9d2Dkn8/muWvO4L6zj6d7x9WXNFRec9VVeOu9MNDx+uQPWadjw/bPmD9+Aq3W7U7Lbl1R8+a07/9L5jzzbI3vab5m9Ye+1fbeix8+CNfxtBP+yPhtezN+u52YcenlfPXwow0yiQAw8Jf78PjfruXxv11Lv522Z/hzozAzxk9+n7YrrVSjrBGAJPr23oY3334XgNfGv8N664RV8XvstD1vvh1uB+Z8+x3TP53J2p2Xf33/gXv2YdiVZzDsyjPot83mDP/fWyHz1Om0Xan1UoOZFZWVzEma5S6uqOSlcZPYYO0wmD99VvUH7ZHj32WdTmvQkCqnTKJ8rW6oUxdo1ozmu+/N4ldrrhYuW38jWp96PgvPG4zNzapb26YtNA+TuFplVco371WjSXNDmDN2PG3WXZeVunVDzZuz9oH9+XzE0rs22m6wPs1XXZVv3hyd529pXHPHjWflrMxrDejPrKdqZp715AhW/1mowd2ifXvarLcuC6Z/DGVlNF8tXPOrbLoJq2y2KV+9+FKj5l84fgIte/SgRdfw2rHaAfvzbc5rR7Os1452e+3JDzkNgxvKwL12YdhVZzHsqrPot+0WDH/5zfC798FHtG3dKv/v3nfZv3vvsEHXMDieXQf7hTETWXethu0F8v3bb9Oie3ear702NG9Ou/32Y/7z1StBq+bP4/3ttmXqrrswdddd+H7cuCWTCOXt24cFDUDzrl1p0b07i2Ysv/uIfOaNm0DrdXsseQ/p0P8Avnm68HvI6nvvxcIPal4Haww4gK+GNewEDYQdBMOO3INhR+5Bv/W7MPzdj8N79eezaduied6yRje+MincG/etufJ5+pzqweaRH85kndUaZufHwH12Y9h15zPsuvPpt10vho98PVzL739I25XqcC2PmcgG3aoH9D/8bBbfLlhArw0bdsHQ12PHscp6PWizTjfKmjenx4H9+eTJEUt9X7sN1qdlu3Z89Wb1vfWCTz+jU5+dUHk5ataMjn12Ym4Dlm47YpdtGHbWsQw761j6bbEBw998J1wXH31G21YtlyprdNjOWzPy8hN57uL/477BA+m+Zvslkwgvv/sh/3juDf7624OXKl25PJXqdVH1wRTKOq+N1uwMzZpR3qcfFW/Vrcxg1VdfUL5ZLygrh/JyyjfrRVUDljYauNcuDLv6bIZdffbS7yN1eY7HTmKDtcNigaXfRzrREAbu2YdhV5zGsCtOS+47xyT3nR+HzDmfR5a67xw/ucB95+QGv+90zsUp5h0JLwBXSvqDmf0tOZYZKTocGGRmQwEkrQx8JCnfktQ+wLTk62uBmyQdYmbfS9ojOV+j2LSZVUgaTJiouNzMlurYI2kjoMrMMsUZewF1ftdKSjFdQWjQ/HZdf66udllvLUZN/Zx9/jacVs2bccV+1Y2MB/z9vwwb9AtmfbeA2199h3VXX4WD/vEkAAO33ZCDe23Amf225qKn3uDeNycD4sr9dly+qyeqqqgY8leaD74SysqofOUZ7POPKT/gKKqmv49NeJ2ql0fQbNCZNL/yn9iCeVTcfuWSH9eGPbFvvgrNmjNatqLZiReHgQqVYVMmUDXyP0v/u5dX/ntvpvmZf0Iqo3LUU9hnH1N+4DHYR+9RNe411GMjmp98CazchrKtdsQGHM3ic48DoPl5N6DOXaFVa1rc8ACL/3EdNrFxBzB2WWdNRn38Jfv860VaNSvnin7VH4YGPDCKYYftwqz533P76Kmsu1obDnow1Cgd2LM7B2/WLaqcANe98i7/ff9zflhcSd9/PsdBm3blxB024s3PvuYvr01BiG3Xas8Fu27+00NVVVH12N8pP/5CKCuj6s3n4YtPKNvnMOyTadikt7A3nkdHnEz5uX+FhfOpvDcp3fDFJ1SNf4Xys26CqkqqHr0zNDHusTFl2+2GfT6d8tOuD/+aJ+/HJo+lbP8j0Vo9wAz75iuqHr6tSLj6/7dU3Hszzc/4E5SVJ9fydJodeAxVH71P1bhXUY+NaDH40nAt99oRO/AYFp1zLAAtzr8Bde4GrVrT8sYHWfz3a6lq4Gt5lw3WZtQHn7DPzY+E17cDqmsQD7jtcYb9vj/fL6rghAeeY1FFJVVmbN+9M4duG6rIPTd5Olc89TrfLPyBPwx5ho07rc6dvy7cgHW5ZN5iI0ZNfJ99zvkzrVo054pjD6zOfPHNDLv4pKI/f8nR/blq6H+prKyiRfNmXHJU/wbNS2Ul08+9gI2G3ofKy/lq6IN8/977rHXmaSwY/zZzn3mWToN+w6p774lVVFI5dy7TTj61YTPVYtftt2LUW2PZ6zd/pFXLFlx5WnW/gP5/OIPH/3YtAKcdN5CzrrmFK2+7m/btVlnyfX223ZL/jZ3AL357CmVlZZzx21+z2ioN29R6116bMmrCZPY+7QpatWjBlcdXr/obcO61DLvyDBYtrmDQn26norKSyqoqdtpsQw7pG97ThzzzMq9Oep/m5eWssvJKXPW7Ixo0L1WVfH/T1ax8zd+grIzFTw2navo0Wv7mD1S+9y4Vr46k9e9PQa1XYqWLw/Nd9cVMFp4/mPJ11qX1qeeH1zuV8ePQuxp8IsEqKxl/5rn0eWQoKi9n+v1DmTflPTY950zmjBvPzGRSYe0D+/PpY0tXs9z1v4/TdoMNaLbySvz8nbGM/eOpfPHCSw2e+e2zzmXHh0PmGUOGMu+999j47DOZO348s0Y8w5cvvEiHvruy+6ujsMpKJl10KYvnzKGsZUt2/m8YeF08bx5jfn9C45c2qqzk0/MvZL0h96KycmY/+BA/vP8BnU4/lYUT3ua7Z5+jw7HH0G6vPaGygoq53/Lx4NMbNyPJ7974Sex9yqXh9eJ3A5ecG3DOnxh21Vnhd+/qW6morAq/e5tvxCG7hwmc+54eyQtj3qFZeRnt2qzEVb/7dcMGrqxk1iUX0+3ue1BZGXMfeZgfP/iADoMH8/3Eicx//vmCP7rSdtvTYfBgqKjAqqqYecH5VH3bwA1BKyuZds4FbP7A/VBexhdDH2The+/T7czTmT9hAt88/Sxdfnss7ffaEyorWTx3Lh/88ZQlP96y69q07NKFb19t3IUNu/ToxKiPZrHPXU+He869qxdaDfjXcww7cg9mzVvI7W9MYd32bTnovvC8D+y1Hgf37MGQ8dN4bcaXNCsro13LFly593aF/lXLza5bb86oce+w90kXhPeRE46uznz65Qy77vxwLV9+U/X7SM+NOaRfnyXf9+Qrb7HvTts1eONUq6zk9dPPYc/HHkLlZUy9byhzp7xHr3PPYva48Xzy1NNA2I3wUc5r8sePP0HnXfpwwGujwIzPnnuBT/NMDDeEXTZdj1GTPmSfS28P93AD911ybsCf7mLYWccW/fnLH3mGxRWVHHfrA0BouHzxofs0aOZSui6oqmTRnX+h1UV/hrJyKp7/D/bJRzQ/fBBVU6dQ+db/KFt/Y1qedRVq05Zm2/0MO2wQ35/8aypfe5HynlvT+sZ7wYzKcW9QOfqVhs2b2HWrzRg1/l32HnwprVo258qs94EBZ1/NsKvPrn4fqcg8xxtxSL/kfWTESF4YMzF5H1mZq34/sNC/avll3nITRo2fzN6nX0WrFs258rdZ953nXc+wK04Lma+5M+e+M+xSGfLsK1n3na256vil1vI2quOG3MWGu/WhzRqrc9Unk/n3RVfy6l3xlIhyrqmSRVb3PpukzsBfgB2Ar4AFwN3Jse7JLoPM9z5GaLzcmjBh8Blhx8WnwDFm9mVS6uhC4EigEpgFnGhmE5O/YzqwbaZxsqSbgS/N7LI82bYhNH5eFagApgLHZ/3sbsDpZrZf1s+8RGjS/CPQEngOOM/M5lJE5T2Xxfs/KY/Kl9NtVLgsbFHDbpte3po1cANQF9hHH6UdoV4qvir6UhKl5j9v2AH8BtFtvbQT1Mvog0+p/Zsis/3rDTQJ3IDsq89q/6aIzDvz3LQj1NtzE+Lru1GbZhG35MmnW6vlt/u0sWz5ROM1410epvyq9JpTfjN/UdoR6m3HS49KO0K9aMc9045Qb/fu/Ku0I9TbkQ9dk3aEelHn7mlHqLfvLzo/7Qj11vqCi9KOUD8Vpfea/H87NPBilwZwm31XYndxkZg3u6TGL1PXdvWSu85i3pGAmc0E8hXluyfP9x6Y9fDuAn+fEcoV5S1ZZGbdcx4XXCJqZmOAnYqcfwl4KefYboW+3znnnHPOOeecc84550pSQ+9icqmLuUeCc84555xzzjnnnHPOOedSFvWOhBhIWh3IV3i0n5nNbuw8zjnnnHPOOeecc84551xj8omEWiSTBV6Q3jnnnHPOOeecc84559wKyUsbOeecc84555xzzjnnnHOuIJ9IcM4555xzzjnnnHPOOedcQV7ayDnnnHPOOeecc84559yyk9JO4BqY70hwzjnnnHPOOeecc84551xBPpHgnHPOOeecc84555xzzrmCfCLBOeecc84555xzzjnnnHMF+USCc84555xzzjnnnHPOOecK8okE55xzzjnnnHPOOeecc84V1CztAM4555xzzjnnnHPOOedKmdIO4BqY70hwzjnnnHPOOeecc84551xBPpHgnHPOOeecc84555xzzrmCfCLBOeecc84555xzzjnnnHMF+USCc84555xzzjnnnHPOOecK8mbLzjnnnHPOOeecc84555advNlyU+c7EpxzzjnnnHPOOeecc845V5BPJDjnnHPOOeecc84555xzriCfSHDOOeecc84555xzzjnnXEE+keCcc84555xzzjnnnHPOuYJ8IsG5ElTx1vi0IzjnnHPOOeecc84551YQMrO0M7iUSDrezO5IO0d9eOaGV2p5wTM3hlLLC565MZRaXii9zKWWFzxzYyi1vOCZG0Op5QXP3BhKLS+UXuZSywueuTGUWl7wzM652vmOhBXb8WkHWAaeueGVWl7wzI2h1PKCZ24MpZYXSi9zqeUFz9wYSi0veObGUGp5wTM3hlLLC6WXudTygmduDKWWFzyzc64WPpHgnHPOOeecc84555xzzrmCfCLBOeecc84555xzzjnnnHMF+UTCiq0U68h55oZXannBMzeGUssLnrkxlFpeKL3MpZYXPHNjKLW84JkbQ6nlBc/cGEotL5Re5lLLC565MZRaXvDMzrlaeLNl55xzzjnnnHPOOeecc84V5DsSnHPOOeecc84555xzzjlXkE8kOOecc84555xzzjnnnHOuIJ9IcM4555xzzrkmQlKXtDM455xzzrmmx3skrEAkHQj8CVgTUPKPmdkqqQarhaSfmdkrtR2LhaQNgTOAdYBmmeNmtntqoZoYSR2A3wLdqfkcH5tWJudcfCStA8w1s2+Tx32B/sDHwC1mtijNfM6tiCR1NLMv0s7RlEmaYWbd0s5RF5JWI7xOl9SH0lJ6jjMkNTezxWnnqAtJqwInmNkVaWfJR1Iz4OfAxsmhycAIM6tIL1XTJKknWc+zmb2TZh4XB78unEuPTySsQCRNBfY3s8lpZ6kPSWPNbOvajsVC0gTgNmAMUJk5bmZjUgtVC0k/Ay6mevIjM8m0bpq5gSq5ewAAIABJREFUCpH0KvAySz/Hj6YWqohk8PIkYKPk0GTCIOZLqYWqA0knA/8E5gF/B7YCzjazZ1INVoCkvYG1gefNbHrW8WPN7K7UghWQ3ADfCawFPAWcZWZzknNvmtn2aebLR9LGhLxvmNn8rOP7mNmI9JLlJ+kNYICZfS6pF/AccBWwBbDYzAalGjAPSeXAIMK1PCJ70lzS+WZ2eWrhCvBruWFJurDIaTOzyxotzDJKBgUPAo4ANjGz6FbMS9ql2HkzG9VYWX4qSZ+YWde0c+RKruWHzGyKpJbACGBLoAI4wsyeSzVgPcT6HOeSJGB3wu/efmbWMeVINUjqClwAdAEeB4YClwJHAkPN7OQU4+UlaS3gBWAmMI7wuWkroBPQ18w+TzFeUZKOBk6m5meSm8zs3vRS5SepHTAc6Aq8TXieewIzgAPM7LsU4xUkaXXC71v2JNNQM5udXqr8JP0byB4QNOBr4EUzuy+dVMWV6nXhXFPiEwkrEEmvmNnP0s5RV5J2BHYCBgN/yTq1CmFgaMtUgtVC0hgz2ybtHPUhaQpwCksPzEd3wwMgabyZ9Uo7R11I+gVwC+FD0VjCzc7WwPnAiWb2ZIrxipI0wcy2TAbof0f4oPevGCfxJF0J9CE8x/sDN5jZzcm5KCceJf0PuBx4nTBw/Bvgl2Y2TdI4M9sq1YA5JP0ROIHwgagXcLKZDU/Oxfocv21mWyRfXwdUmdmZksqA8ZlzMZH0d2Al4E3CQMpIMzs1ORfr8+zXcgOSdFqewysRnuvVzaxNI0eqE0mtgQMIAypbAW0JO4JGmVlVmtnySQZUchlh4rGrmZU3cqRlFutqeUmTgM3NzCQdDxwO7AFsCNwT46RjIbE+xxmSehN+9/oD7QmveU9kJnljIelFYCTwGrBP8s944BQzm5VmtkIk3U24h7gh5/gfgW3M7OhUgtUimUQYDJxKzc8k1xLum/+VYrylSLoJWAScmXnPSO7frgZam9lJaebLR9ImhEmmp6k5ybQnsLuZTUkx3lIk7ZrncHvg18AHZnZ2I0eqVSleF841Nc1q/xZX6pKSRgCjJT1IWO3xY+a8mT2WSrDatQDaEK7TtlnHvwMOTiVREZLaJ1/+W9L/AcOo+Tx/k0qwuvnWzJ5KO0Q9/EfSvjEPwmc5A+hvZhOyjo2XNBq4GYj5v0HJn/sSJhAmJSvbYrQ/sJWZVUi6GBgiaV0zO4Xq/47YtM1a+XydpDHACElHUnN1UCx+S/iAPF9Sd+ARSd3N7EbifY6zc+0OnANgZlXxXspsnzX5cQtwq6THCANusYb2a7kBmdn1ma8ltSWsJj0WeAC4vtDPpUnSEGBn4BnCe90LwNSYd+KZ2f7Zj5PdmucDswi7CqMi6Wby/34JWLWR49TVoqwSRnsDD5hZJTA5KRUTFUmnFjpF+IwSnWRhxSGE1blDgUuA0WZ2T6rBCmtvZhcnXz8t6RBgYIyTjVl6m9kxuQfN7CZJ76WQp67+QFiMNz3r2AuSDiK8n0Q1kUCYZNwi+1pI7t/OBSamF6uoywiLEx7KPpg8x1cQduZFw8xG5jsu6QnCAsPoJhIozevCuSYluhs21yCyPxgtBPbKemxAlBMJyRvbSEl3m9nHsGS2uU2kW9bGEJ7PzCDEGVnnDIiyTFDiRUnXEq6F7MmPselFKupk4FxJi4BMrVezOPt9dMqZRADAzN6WFNX28jzGSHoG6AGckwxgxfrBrpkldWnNbK6k/YE7JD1MmJSMkqR2ltTvN7MXkw8ajxJWA8WmLFMCxsymS9qNMAC7DhEOviZekPQQofzAaoTBTCR1JqxmitGS6zW5po9PyoG8QKQDV+DXckNLFiucCgwE7gG2jm1lcY5NgTmEXR+TzaxSUoyTSkuR1I+wA8+AK83s2ZQjFTJ6Gc+l6UdJmwNfAH2B07POrZROpKLaFjl3Y6OlqJ9BwPvA34B/m9mPsf/uKfTJyLz2zgbaZRauRLoQ6/si5xY2Wor6WyVnEgFY8j4Y42eoRZan50SyaOjHfD8QgZ5mttSCRzN7NJnkKwnJe3baMQopxevCuSbFJxJWAGb2m7Qz/ERXSfo9oeTOW8Aqkm40s2tTzlWDmfVIO8NPsEPy57ZZx4ywgjc6Zlbsg11sFizjuRgcRyj78aGZLUwGsmJ9PZkmadfMyppkheNxki4nstU/Wf4EbEIoBwMsmWDKDGLF5gtJvcxsPECymns/4C5CbdIYDQYOBToDfay6yWQn4LzUUhU3Wjl1+s3sUkmfEwaGYuTXcgNKJvoPBO4gDFLMr+VHUmdmvRT6UBwOPCfpa6CtIm60nJQiPA/4FjjfzP6XcqTaPEjYDfRV9kFJHQi9jWI0GHgE6AD8xcw+ApC0L6EMSFTM7JK0MyyDzoQyKocDNySlg1pLapZv8C0C7QiLsbJHLTMLmWJdiNUua8d/NhFK8Maq2ARIsXNpaSVpK5ae4BfQMoU8dVFSn/uyKipkWw04CpjUyHHqqhSvC+eaFO+RsAKRdA9hq93c5PFqwPVmdmy6yYpTUg9f0kBCHcezgTEx1rYGkHQCcH/O83y4md2abrKmRdIvgUxjxJfM7D9p5ilE0lwgX4NGEQY2V2vkSHWWlHUYb2YLJP2a8Pt3Y2aHUEySWtyY2VIfhCStZWafNX6qpkXS2kBFvprFkn5mWU2BYyKpP7A+MNHMnk47j0tfqV3LkqoIuwUrqFnKRsS7G68GSdsQ6rUfAnxqZjulHGkpyfP8KTCBPCWDzOyXjR6qCEl3EBqyP5ZzfACwl5n9IZ1kTYekZ8xsr+Trc8zsqrQz1YdCQ+v9CL97fYDnzeyIdFOVPkn/LHY+1kV8khYCU/OdAtY1s5UbOVJRySRYQWbWt7Gy1JWkT4E/5zsFDLbIGrRL+ijnUKbZ8kvA5TFWgSjF68K5psYnElYgytPwMN+x2Cg0ZusFDAFuMbORSprAphwtL+VpBBz78yypHXAR1QPzI4FLM2UqYiPpamA74P7k0OGE+q/npJcqP+VvYrVEodqUMZD0NrAlodHk3cDfgV+ZWdH/prQk9ZV/DmycHJpMGGSJcQUesKTx3cnARsmhycBNZnZveqmKk9STrOfYzN5JM08xkv5GKLHyKtCPUObhsnRT1U7S6oSBn+xreaiZzU4vVXF+Lbu6SMqV7Gxm+SbYU1Vq79eSxpjZNgXOTTKzzRo7U22SngPfmtk/co4fR9hdcUP+n0xH9v27ImzEXh9JecoBMb4mS2pBKNuWuWYnAUPMLMoyJZIOzJ3AKwVJ+b6CYlsoJKm3mb1e+3fGQ9JFxc7HtstJUgszi7XUZ16leF0419R4aaMVS5mk1TI1dZOtbKVwDdwOTCesEBuV3ARFNzuepVySLJmlk1ROxDXaE3cB7wC/Sh4fCfyTUEohRvsCvSxpspTsthlH0kg1JrENPNRThZmZpAMIk3j/SD7sR0fSWoQa8jMJ14IIq/Cul9TXzD5PM18+ycDrYELd87GEzFsD1yYvIVE1vUsmHIcDXYG3CXl7SpoBHBDjqiVCs9ctk1qvKwEvExrhRUvSJoRr+Wmqr+XtCH1hdjezKWnmy8ev5YaV/H/P9PfokSkHkzyOckBL0k21fEt0EwmF3q8ldQUOIyyyiEmxngJljZaifgYCvfMc/xehr0NUEwnE2Sy+VpL6EhqEZ0/s3hLpJMKmwBPAK4QSRwC7AedJOsDMYiyvcj6R9hisxZ2ZHTYl4lbCvUQpmW1mt6Qdoh4+VWisPAR4MTN+EblSvC6ca1J8R8IKRNJRwLnAw8mhQwhN5KK7qaxNxHU+kXQd0I0wAQLwO+ATMzstvVTFFdhFsdSxWCQr5XezpAFbMin2UozlriRNpMgH0RgzZ0gaCYwg9EXYBfgSmGBmMdYQv5tQhumGnON/BLYxs6NTCVaEpNeBwyyn8Z2k7sADZpZvsCU1ycDgIuDMrEm8MuBqoLWZnZRmvnxyV5CWwopSSY8AD5nZQznHDwKOMLPoen74tdywsq/bUrmmJS0iLFB4CPicnFrGZnZPGrnqSqHPwCGEHY9dgGFmdnrxn2pcyXv0GWb2Zs7x7QilS3fJ/5PpKbajWNLE2O4vsspTijAxXWMCLLZyV0Cm18ctwKXUnNg9HzjRzJ5MMd5SJD0PXG05Tc0l7QGcF2OZklhfd2sT+w75XKWWF0rv2kh2wB5MmCzfAHiUsAM22hX/pXhdONfU+ETCCiZZ9ZFpoPuCmb2bZp66Sm6KNwNaZY6Z2aXpJSosGYw4HtgjOfQsYQVIVXqpipP0GuHD6P+Sxz8DrjOzHdNNlp+kwwkDPi8SPiDtApxtZg+mGiwPSRsAHYFPck51BWaZWb5apVGQ1IlQXuUtM3tZUjfCBE50k4+SppjZxgXOvWdmG+U7lyZJ75rZpvU9lxZJ7wJb5E7iJiWlJprZJukkKyynHrCA9ZLHmdry0U3kFbte/VpePkrtWs4pr1LjA3SsH6iTwYlDCM3OKwiNgR+xpH9UjJLSLwcS3vc2JKw4PtTM1k41WAGStidM1NxN9UrubQlNMg8zszdSilZQsrhiD8tpuC2pI/BchBMJmXJXrQmDbEZ4D/ke4tx1KuklQk+8CTnHtwButsjKU9Zy/zY5ttdjWOreosYpIr23AJD0IVBwQjS23W0q3GcOiHYir6QmErJJ6kJ43z4MWJOwEOS8dFMtrRSvC+eamlIoa+OWE0n/MrMjgXfzHIuWpNsI27f7Emq0Hwy8WfSH0nWSmd0I3JY5IOlk4Mb0ItXqD8A9SbkHAd8Ax6SaqAgzG5p8UNouOXSW5WmaGYm/AOfk1h2VtEpybv9UUtVB8pz+OevxDCC6SYTEUk2WsyxstBT1UyxzsXNpWZRvJ5iZVUiKso4xEN0ARB0sWMZzafJruWFZga/zPY6ChX4etwG3KTS3Pgx4V9JZsZW6yvIl4f7yfOB/SWm/ASlnKsjM3kwmE04DMrvupgE7mNmX6SUr6lrgv5JOI6yWB9gmOX59aqkKexW4AjgWmJEc60qYvDk3pUy16ZQ7iQBgZm8nEzaxKZPU0nL6IUhqRbxjFR8R8f17Ee0IZT+V55wRX7mmr4jzdaGYLSTlK4+YmWRapbED1ZWZfS7pH8AcQqnKQUB0EwmU5nXhXJMS65uzaxg1mq4p1O7P26QtMjuZ2RaS3jazSyRdDzyVdqgijmbpSYNj8hyLhpmNB7ZMBreJrT50hqSNzWyKpMxKj0+TP7tI6mJmYwv9bIo6mtnE3INmNjEp+xEtSb2BmwmDsS2AcmC+mbVLNVh+7STl6+khINab9k2SMl25BKzb2GHqoJWkrVj6A6iAlinkqVXuBF5GsnPscCCqxoKJNRUakuYS0KGxw9SRX8sNa92khrGyviZ53CO9WLVL3q8PB/Yk3LuNKf4TqTqHMOFxKzBUUnS7HLMlO2hOp+Yg927hlM4zs8VpZSvEzO6V9BWh7M7mhMHLScCFZhbjvf01QBugh5nNgyULQa4jTH4MTjFbIaU2GX0v8KikEzLv2cn98U2E3hkxWlTo/iJyH5vZsWmHqIf5Me76qcXEGHcJFpNM2u1PeK/eiVDW9mxCVYUYleJ14VyT4hMJKwBJ5xBWzbROZsgzH5wXAXekFqzufkj+XJhsuZsNdE4xT15JuZ0jgB5ZH/IB2hJW+EdH0q/N7L7cQSspXCJm9ue8P5ieUwllo/KtQjCqy3bFZNUi51o3WoplcwthUOVhqsslbJhqosJGUnh1WHRNPROltlp+Jlk7VHJEuSMoGfA5AViL0MzxWeBEwgreCcD96aUr6E7C+0Y+f2/MIPXg13LDOiDr6+tyzuU+joKkS4FfEJq8PkDYmRdlb6uMpMfODZLWJbz3PU5YqHAWoUfC+6kGXNq1hNeKfIPc1wEnp5itoGTCYKlJA0mDc/scRWA/YEPLqgVsZt9J+gMwhTgnEtbL+RySEeXErpldLulE4GVJKxFyzieUWL053XQFvZJ2gGWUbydCzD5KO0BTJ2kIoRzzSMI98RFm9kPxn0qdXxfOpcx7JKxAJF1lZueknaO+JF1AWBXdD/grYcD4TjO7MNVgOSStQ1gZeBVhFj9jHvB2jB+gJf3OzG6XdFGe0xZxH4pWuTc5+Y7FQNJQQj+SO3OODwL2NLND00lWO0mjzWzbZDfQFsmxWOtxHxhbbdfaSHrGzPZKO0ddSeodc/O1fCQNJ2zRfo3wHrIm4YP0yclOrOhIOtHMbkk7R334texySaoifNjPlJbLfOCIuoZ4LkmbE1ZpHmpm66edJ5ukD8gZ5E6OlwNTzGyDdJItG0kzzKxb2jmySXrfzPIuoCh2Lk1ZfR3yinklb9KnhMzEWKwk7U/4bJfZQXEhcBBhl+PJZhblQKekzc3snazHqxP6zM0ws+h2iyk0jv8kU75W0lFUP88Xm1l0C/UknWtmV6ado66S53RY7u9cZueumUW34KYUrwvnmhqfSFjBSFqN0Cwsu2lxrKt1M29ivc3s1eRxS6CVmX2bbrKmRdLPzOyV2o7FIl8jq1ibWyX1aIcRdgBlN0NsAQyIuLcDkkYRVqn8nbBKdyZwjJltmWqwPGL9/19MrJMyhZToczwx07wzGVybCXSLcdIxo0SfZ7+WG5BCg9qCN+wxDsoniysKirEsSKZ8YvJ1jZrtknY0s9fSS7e0UhzkLkbSJ2bWNe0c2SQ9DjxmZvfmHP818CuLsKmnpG5JT6uSkJRVOZSwe/s/wBmEwe1pwGVm9nWK8fJKSvn1NrOFkvYj7HA7HNgKOMTM9k41YAGS/gOcbWbvSOpM6FMyGlgPuCO2HUGSxhKas38jaRfC7raTgF7AJmZ2cKoB85D0W+AlM/tAYYv/XYRB7umEz1BRleFV6I/4fxTYuWtmBxT58VSU4nXhXFPjpY1WIMkK6JOBtYHxQG/CKs0Yy8EAYGZVkv5KuDEj+VAXYyPEJQrUlV8Qc3MlQt7cQZV8x1IlqRPhRqd1Tn3rVQgNuaNjZl8AO0nqS6gHDPBfM3shxVh1dSTh+j0ROIXQYPCgVBM1LYX6OgAQ4Q6LUtsSD7CkRriZVUr6NOZJhBLm13LD2i/5U8B/gX1TzFInMU4U1MEQqu97XqPmPdBfieyeiNC8+qgCg9xTUsr0U8S4uu0E4DFJx1JzMUhrINZG3I+TXKuSHjWz2O/b7iW8V69M6PnxDqG0Zh9CU+v9Cv5keszMMrutDgT+kazoHyPp/1LMVZseWTsSfgM8a2ZHJTtBXgGimkgAyrNWlx9KmOx4lNBTI8pdpYSxlruTrw8HtiBULNiK0C9x53RiFXQv1Tt3BxHKYQvoH+vOXUrzunCuSfGJhBXLycB2wOtm1lfSxkApbL17XtJBhBVBMX7IyFUydeUl7UhoqtQhp0/CKoQB5NjsTWhcvTY161vPI9z4RMvMXgReTDtHfWQNBH0PXJJmljrYWIWbvcZaRqMd4QNyvkFNA2IbfM3t/1JDjCszCU3kM83jRc1eQRbpBO8WWZmzxZzZr+UGlD0oL+nHUhikl3Qc0N7Mrk0ef0ao5y/gDDO7Lc18BajA1/kex6DkBrklzSP/hIGIsG+UmX0G7CBpd2Cz5PCTZvZ8irFqk32tRtcTIY9NzWxzhebhn5pZpjTTCEkT0gxWhCS1IZRu60do0J7RKv+PRCG7AXs/Qk8mzGxeUo4uNuWSmiXlgfsR+uRlxDqOVWHVje73A+41s9nAc5KuSTFXIetm7dz9OyWwc5fSvC6ca1L8F23F8oOZ/SAps2V7iqSN0g5VB78jNNmtkPQDcQ+mAGBmUyWVm1kl8E9J44AY+1O0ANoQXguym3t+B0S3LdDM7gHukXRQsvLANYBSLKNBqMVdqNlyrD42s2PTDlEPX5G/0Xm0zCzGCdHaTCylMkEJv5Zdrt8D+2Q9/tLM1krKmDwNxDiRYAW+zvc4daU4yG1mhRrJRy3ZRVoKO0mh+HUco0UAZlYh6fOcc5Up5KmLGwi7+78DJpvZaIBkt/TMNIPV4hNJJwGfEnatjACQ1BponmawAoYCIyV9TVjU9DKApPWBWMscVyVlo+YQBrmvyDoX3WQppblztxSvC+eaFJ9IWLF8KmlVwpbXZyXNITSliVoJfuhYKKkFMD5ZeTATKEs5U15Jw7WRku4uhRWOGWb2qKRfED44Z/f7iLI5dAk6EOgIfJJzvCuhV0KMFpXSNZyIcYVrMfMt4iaNLlV+LTcgSdkldXJL+xFbzeWEklWYGQ8DJAtaYhxMAVhb0k2E5zbzNcnjtdKLVVyJDXK7hpfZiZe9Cw/iXYhVcr93ZnaXpKeBNYHsXROzCCWDAJC0mZlNaux8RRwHXErof3aomc1NjvcG/plaqgLM7ApJzwOdgWeyKhOUEWriA6EHpJnNSSNjHhcS+k6UA09k/v8rNEH/MM1gBZTczt0SvS6ca1K82fIKRNIamYZVyZtZO2CEmS1KN1lxkp43s361HYuFpG7Al4TV/qcQnudbzWxqqsGKkNQBOJOlB+aj7J8h6TZCT4S+hEbABwNvmtlxqQZrIpJmbOeY2cSc4z2BK80supX/km4xsxPTzlEfkjbPqlWLpNUJDQZnJLV2oyLpMTMrWAffLR+SzjWzUig7uIRfyw1LUrGyeBbje7WkqWa2fp7jZcBUM4uu5Iqko4udT3ZFOueWo6b8eydprJnF1lulVpJuNrOTav/OOMT2PCdlutpmD2JLWpkw9jY/ebynmT2bVsYVQWzXhXNNie9IWAFI2h+4C1ic1D/8VSmsxEu2v68ErCFpNWo21o1uhYqkDYDrgPWAicDpZhZ7XfmM+4EHCbUcfw8cTSj9EKudzGwLSW+b2SWSrgeeSjtUE9IxdxIBwMwmSure+HHq5GlJ62R2JUi6kNAY+mPgZDP7KNV0+V0t6WwzeyfZBj2WsIppPUl3mFlsTe+uktTJzGYBSDqK6uf44qzGZ+6n+UrSBmb2gSQR3r8PAqYDx0S6+tyv5QZkZn3TzrAMnpF0uZmdn3P8UuCZNALVppQHLJ0rVYV+75LPgdEtXKmnUtutl/GztAPUU1TPc1K7f07OsQU53/YnwCcSGlZU14VzTUmU5VbccncFsLOZdSF8UL4q5Tx19TtC87iNkz8z/wwnNDSOzV3AfwjP8Vjg5nTj1MvqZvYPYLGZjUxqXUe3wjHL98mfCyV1IdR37JxinqZm1SLnYi1JcQXJ5Jek/YBfA8cCTxBnLW6AHlmruH8DPJvs9tiBkD02t5PUMpa0C3A1cC+hHukdKeZqak4mTBoAHA5sAfQg9Aq6MaVMtfFruQFJ2k5Sp6zHR0kaLukmSe3TzFbEGYSJpKmSHk3+mQqsD5yecra8JD1R7J+08znX1Ekql7SvpH8RJnYPTTvTT+SlHxpHKT7PPsjd8ErxunCuJPiOhBVDhZlNATCzNySVRM8BM7sRuFHSSWZWCoPybc3szuTrayXFuGq0kEyjpZlJ74HPgVgHJwD+k/T7uJYwaWOEEkdu+Rgt6bdZ1zMAkgYRJvNiZGa2MPn6QOAfSUmVMZL+L8VcxSzO+rofcCeAmc1Ldo/FpjxrpfahwB1J0/NHJY1PMVdTU2FmmWtjP+DepNb8c0nfnRj5tdywbifUtM6e+DgJ6EWY+Dg4vWj5JasvD5e0LtWNgN81s2kpxqrNjoTeQEOBN/CBHucaRVJy9whgX+BNwor4Hln3dc41NT7I7ZwrWT6RsGJYU9KphR6b2Z9TyFRnZnazpJ2A7mRds2Z2b2qh8muV0wCxRkPESMtRZFwuqR1wGmEnxSqE/g5RMrPLki8fTer5tzKzb9PM1MQMBoZJGkj1xMG2hL4fA1JLVZwktQEWEgYyb8061yr/j6TuE0knAZ8CWwMjAJJGpM3TDFZAuaRmyZbtfsDxWef8fmL5qUrKA80hPM9XZJ2LdUeQX8sNq9QmPnIbRH+W/NkuczzSe6JOwJ6EnUBHAP8FhkbWLNW5JkXSp8AM4G+EsrDzJH1UqpMIkrqY2efJw6j7EBZRapOopZbXNQ6/LpxrIDF+WHLL351A2yKPo5Zsb10PGA9UJoeNUIYgJjOB7EmZWVmPjYhLBZnZf5IvvyU0MI5e7uSSpBgnl0qSmX0B7CSpL7B5cvi/ZvZCirFqcwPhNeI7YLKZjQZIJvNmphmsiOMI9cL3AA41s7nJ8d7AP1NLVdhQYKSkrwnlxV4GkLQ+4bXDLR8XEvoLlANPZAYxkxWbH6YZrAi/lhtWqU18AFyf8zh39WV090RmVkmYBBshqSVhQuElSZeYWYwlNZ1rCh4B+hMmSSslDae0V2u/DnQDMLPeKWepVdKHcK6ZZT/nsZZRXELSDDPrljzsl2qYOpLUPGvH6fQ0szRFSbWCE8wsswCnJK4L50qRar5nOBcfSZOBTc0v1gYj6R5CQ9q5yePVgOuTXgnRKTS5ZGZ/TC+VS5uktYA1gQlmVpUc6ww0N7MZyePNSm11qaSbzeyktHMASOpN6EfyTKZxnKQNgTaZFcaSVjOzOUX+GlcLSc0I5fLmZB1bmXDfNj95vKeZlVSjPr+Wl42k8wglP74mDFBtbWaWTHzcY2bRNcaUtD3wiZnNTB4fTXXT8OgaWmckEwi/IEwidCf02bnLzD4r9nPOuWUnScBuhN+7fQm9uo4jLGKZn2K0epP0iZl1TTtHPpIuBB4ysynJa90IYEugAjjCzJ5LNWA9xPw8Z0uu7d0Ju9z2M7OOKUcqeZK6AhcAXYDHCYtDLgWOJOwiPDnFeM6tEHwiwUVP0sPAHzMfRt3yJ2mcmW1V27FY+OSSW1aSxprZ1rV/ZzxKLXOp5S1Vpfg8l1rmmPLWZeIjJkmfqD3M7Jukr8MDVPd12MTMouvrIOlewi68J4EHshqIO+caiaTmwN6ESYW9zWyNlCPVS85K+ahImgRsnkxEH094jvcANiRMSm+fasB6iPl5hiXv2UcQdtu0B04g7DJNfXFCqZP0IjCQdjQvAAAZKklEQVQSeA3YJ/lnPHCKmc1KM5tzK4pYt0M7l20N4F1JbwI/Zg6a2S/Ti9TklGWvvJTUnrhfH94h1DL2ySVXX14vs+H5c9w4/HlueNE8x2b2ep7DXwKHANFNJFCCfR2AXwMLgJOBP4aFpEC4DszMVkkrmHNNlaQDgLXN7K/Jof8RdpdCpP3aJN1M/vJLIuymiNWirEVYexMmTCuByclOyKjk9HiscQpo05hZ6krSlYT35RmElfKXAKPN7J5UgzUt7c3s4uTrpyUdAgzM7EZ3zjW86N4wnMvj4rQDrACuB15Ldn9AuAG6osj3p80nl9yy8l0sDc+f48bhz3PDi+I5Trbxnw+sRZ5t/ClGK6bk+jqYWVnaGZxbAZ0JHJb1uCWwLbAyocfOv9IIVYvRy3gubT9K2hz4gtAT7/SscyulE6moYj0dY+3jMAh4n9A8/N9m9qOkKO4lmpKkDHNmtn820C4pI0WspROda0qivJF3DUNSR+BKoIuZ/VzSpsCOZvaPlKMVZWYjk+zbJYfeNLMv08xUjKRLzezCrMflwL1mNjDFWAVJKgOmAgdS3fzwQDN7N71Utbo47QDONaJoVkU79xP5tbxs7iVs43+MsIV/NGEb/xYRb+MvtYbWzrl0tDCzT7Ie/8/MZgOzk95AMXqQ0Mfoq+yDkjoA89KJVCeDCc2tOwB/MbOPACTtC4xLM1g+ZnZJ2hmWQWdgT0LZqBuSMjytsybW3U/XDhhDzXvKzM5MA9Zt9ETOrWC8R8IKRNJThJUd55nZlskWxnFm1jPlaEVJ+hVwLfAS4Q1jZ+AMM3skzVyFSPon8L6ZXZU0snqI8DxfnG6ywmLuh+DcTyWpi5l9nnz9upn1TjtTIckKm7nZ/T8kHWNmd6eXqn789aThSGpuZouTrx8zswPTzlQffi0vc44JZrZl1uNPgW6xb+Mvtb4OzrnGJ2mqma1f4Nw0M1uvsTPVRtIdwAgzeyzn+ABgLzP7QzrJmhZJz5jZXsnX55jZVWlnqo9kHGA/Qq+EPsDzZnZEuqmcc+6n84mEFYikt8xsu+wPxpLGm1mvtLMVI2kCsGdmF0Ky2uO57A/VMUm21d0PTCRsG33SzG5IN1Vxkq4jNCx6LOYGxpL+Z2Z9JM2jZskJr1/sCoq1IZukC4GHzGxK8mFjBLAlUAEcYWbPpRqwHrKfY0ntfVvx8pO8p+xO+CC6n5l1TDnSUiT9m5qvyQZ8DbxoZvelk6r+JK0KnGBmVySPo7iWk/ug3aheffdi9uMYMjrn3LKQdD/wkpndmXP8d8BuZnZ4OskKkzTGzLYpcG6SmW3W2JnqIuk58G1uNQJJxxF2WET1eTVnzGKsmW2ddqZlJaktMMDM7k07S1MgqQUwEMj8rk0ChpjZj4V/yjm3vHhpoxXLAkmrk3zYT1aKlcL28rKcUkazgejq2ErKvrm5EbgdeAUYJWnryFff/Q44FaiU9D2RDsybWZ/kz2I1M53LFWs5lUOBy5Kvj07+7ABsCNwDlMxEAlnPsQ9qLh/Je/QRQH+gPXACNesZx+S6PMfaA7+WtLmZnd3YgYpJeg5cAHShSM+BiK5l38bvnGuqTgEel3QE1a9r2xB6JfRPLVVxxfoJRPcZNctAIN+u3H8RSuZFNZFAJH2K6ktSX+AkYKPk0GTgFp9EWD6S8txPEMZZxiSHdwPOk3SAmU1KK5tzKwqfSFixnEp40V1P0iuEAauD041UJyMkPU31h/tDgSdTzFPI9TmP5wCbJseN6v4D0SnFgfmkBExXsl7HIp+scemJ9YPIoqwdQHsDD5hZJTA5KT1XSmJ9jkuOpCsJDe9nEN73LgFGm9k9qQYrwsxG5jsu6QnCh7yoJhKo7jnwKCXQc8DMuqedwTnnGkKyWGwnSbtTvbr4v2b2QoqxavOlpO3N7M3sg5K2A74q8DMxaJYpj5jNzBZlGtVGZt3kPkJZXy9hZr9MJ1Zhkn4B3EJYnHAJIfvWwF2STjSzGMcwSs3NwB/M7Nnsg5L2IDz3fVNJ5dwKxEsbrWCSwamNCG9q7+W7mYhF0pCvo5m9IulAQm1BgLnA/WY2Lb10TUty8zgQ6GFmlyWrNTvn3iDHQtJlwDHAh0CmRrSZWbSTNa5hSbqZ/IPZAo6ObXcNhH4NwCDgC+A9YJusxndTzGzjNPPlSrbE5z1F6L3TvjHzNFWSvgTeJ6wM/LeZ/SjpQzMryVXnMZZQLMWeA76N3znn4iBpe0IPvLupXhG9LXAUcJiZvZFStKIkTQT2MLMvco53JJQNjqpvoqRdky9bAxsQ7vOnAt9D4UUMaZL0EnCymU3IOb4FcLOZ7Zr3B12dFfuMJGmymW3S2JmcW9GU2opHtwySQfh8NpREbqOoiNwAnANkMj4GIKlncm7/9KIVlqwmvcbM5iaPVwNOM7Pz001W1K2EAfndCaVW5gN/BbZLM1QRvwLWM7NFaQdx0Ri9jOfSNBh4hLA77C9Zkwj7AuPSDFZAsZ1LNzZaiqavM7AncDhwg6QXgdaSmplZRbrR8pOUbxJpNcKgSpRbzJP35swKzNlAu8yKzIhKGgG+jd8552JiZm8mkwmnUV2achqwQ0453thcC/xX0mnULCN1LUvvrI/Bq8AVwLGEXZoQdqPfDZybUqbadMqdRAAws7eTCRv305VJapm7kEJSK3x807lG4TsSVgCS/lnktJnZsY0Wph4yzaELnJsY26qJjOzGUFnHom4QlcmX09SqxorNmEh6lLClMeabddeIkpvHtmb2Vc7xDsA8M/shnWTOLbukCfd+hF4JfYDnzeyIdFMtTdJHOYcyzZZfAi43s+8aPVQRkqYTJs/zlXKw2HZ/SHoeuLrANv7zzMy38TvnXCNJdvhfSc0B7m7AXYTX5Jh3/P+cUG5wc8J79STC+8tTqQbLQ9JfgDbAqWY2Lzm2CqEv00IzG5xmvnxqacRd8JyrO0nnE3p9nGBmHyfHugM3EUqBXppeOudWDD6R4KIl6QMz26DAualmtn5jZ6oLSW8D22VmySW1JrypbVb8J9Mj6Q1gJ+CtZEKhA/BM7oRILCRtCwwH3gGWrEaIsVamaxyS7gBG5O6wkjQA2MvM/pBOssKSUkHfmtk/co4fR5gUiarpnaRnzGyv5OtzzOyqtDOtSCS1BQbE2KxPUgvfIdZwfBu/c87FIxngbguckmeA+3szOznNfMtC0uAI7zs/ADa0nAErSeXAlELjBGmSNBcYle8U0MfMVmvkSE2SpBOBMwmNz0WopnCdmd2cajDnVhA+kbACKbWSO5KGAi+Y2Z05xwcBe5rZoekkK07SWYSyS5mdIL8BnjCza9JLVZykgYQm1lsD9xCacJ9vZg+nGqwASZOA24GJVPdIiLJWpmsctawAmhTjRJ6kMUDv3JVrSS300Wa2RTrJ8svZsRT1LqtSJ6kvcBKhpxHAZOAWM3sptVBFJH0dngCGAC/mfuiPUSn1HJD0PtCzwDb+iTEOpjjnXFNVigPctZE0w8y6pZ0jm6T3zWzD+p5LU1Zfh7z8s+rylSyyITOh55xrHF5DbMXyczNbUk/QzOYktbijnEgg1A8flgxyZzeyagEMSC1VLczsT8muhH7JocvM7Ok0MxUiqYeZfWRm9yeDmv0Is/r9zWxyyvGKWWhmN6UdwkVlpSLnyhotRf00y7f93cwWZWq1Ryb6weGmQNIvgFuAS4FLCK/JWwN3STrRzJ5MM18BmxAmoC8A7k3Kzw01s9fTjZVfCfYcuBd4VFK+bfz/SjGXc86tiCzfhLmZVUoq1XulGO8735V0VO5OTP1/e/cea1ldnnH8+wwInXLzwk1AKqgNESLIRQFba9GUaKzSYgWqRdPWNm2MgtamtmpT7C2tF6xoE6xVIaIFQUBRqwW0BYTRIjiCtMUYvIEoaBnRWsS3f6x1mD2bs88Mdti/tc/6fpKT2XutOcmTmcnM7PX+3vdNXgjc1CjT5ny5qr6y+Z+mn1R/iOIE4E7gw8CrkjyVbk/J66vq2y3zSWNgR8KILOLIHbjvZOZB/dsbquqylnlWk6VT3Ekuraqnb/47hiHJm+hGGl3MpqONrp35TVrVknwKeFVVrZu6fgTwxqp6aptksyVZDzyjqr45dX0P4F+Gtgdmol07wM8z1brtaLGtI8kngZdPL+tL8gTgrVW14mm31pLsBfwacCKwO/D+qvqTtqk2tYg7B2zjl6RhSHIhcMGMB9zPX8T/Dw20I2Fv4ALgB2x6qHAt3ajHr7fKNstkx26S86vq+NaZVpsk5wL3ADsAD6Mbdfwhul1ih1TVsxvGk0bBQsKILOLInUWU5EjgrXQnNLcDtgHurqqdmwZbRpLPAecBvwe8efp+Vb1p7qG2QJLLl7lcVXXM3MNoEJI8CTgXeDebftg4GTixqq5pFG2mJCcDLwNeCSwVwQ4D/hZ4W1W9u1G0ZU20a68FHkfXoXAz3Qc827W3ks3Mw595b0iS7Aj8KvAK4JFVtUfjSJtY5J0DtvFLUluL+IAbIMkGlu8uDbC2qgY5rSLJMWwcQ3hjVV3aMs9KpsaA3vdaW0+SL1TVQf3S869V1Z4T966vqoMbxpNGYZD/WGjr68dknANcDzyjvzzYkTsL7gy6k5jnsfFB5uBmOPZOBI6j+7tgp8ZZtkg/f/Tiqrpf4UPjVVXr+mLCK4EX9Ze/BDy5qm5vl2y2qjorybfoRtgcRPfh7gbgdVX10abhlncV8BfAbwJLbduPoive/PGM79EDd/dPeK+pvtX8l4GTgKOBjwF/BHxipe9rZE2S7WfsHBjc/41t45ek4egLBU+eesD9kSE/4AaoqoX4rDetn0awKBMJasZrbT3/C1BVP0ryjal79zbII42OHQkjkmT90EZlrEZJPltVhyf5/NKy1KGeSEjy8qp6S5LXVdVprfNsqSTrqupJrXNoOPpTKX/Jpg+59wX+kW5Uyf12EQxZklOq6vTWOSYleTOwI/CKpdPQSXYG3kC3t+SUlvlWi4kRUve7BfxcVT1szpE2K8k5dIcUPgW8H7ikqv6nbarZkrwGOBJYbufAZ4f276Ft/JIkDV+Se+kOfYSuQ+X7S7fouucHN6Fg0SS5ne7/mqE7ZPH+pVt0o8UG1QUrrUYWEkYkyXuAM6rqM62zrGZJ/pXugco/ALcBtwIvHmKbXZLrquqQyXmOi6B/oPkQ4J+YOKHrjoTx6v9M7AScusxD7h9U1ctb5nugBjqr9r+An51eMNh3Cd1UVY9rk2x1mRghtawhjpDqx3R9cHrcTpI1wElV9d42yWZbpJ0DtvFLkiRBkhetdL+q3jOvLNJYWUgYkSQ3AY8FbmFjpbyWTs1r60jyM8DtdA+6TwV2Ad5eVTc3DbaMJO+jG7+0F92IhPtuMeA/G+5I0LTV9pA7yVer6lGtc0xK8p9VteyYtpXu6YFJsm9VfWXzP3M4kuwC/D6wN3Ax3Tijl9KNGru+qp7bMN6KFmHnwNTyxk0K/4t2EECSJGlrWxqxWVXntc4irXaDmwOrB9WxrQOMwdKYBLoFXH/WMsvmVNVJSfYE/hl4Tus8W6qqfrF1Bg1OTRcR+ov3JlnEivkQM9+Y5OSqOmvyYpIXAjc1yrQaXQgsPTQ+v6qOb5xnS5wFfAf4NPDbdDszAhxXVde1DLacBdw5sE+Sv6P7NV16Tf9+73axJEmS2ugPjB1Lt5/rl4B/o9tTKelBZEfCCCTZuaruSvLw5e5X1Z3zzrQaJVnPCg//hnq6fxEl2YNuHv5eVfXMJI8HjqqqdzaOpkaSXAhcMOMh9/OranCFsiQbWP7vjABrq2pQxf4kewMX0BVJ/72/fDjdDNhf6ZcP6v9pcqfOUPfrTJvcwdR/qLsV2HeoexIWbeeAbfySJEmdfgzorwPPAtYBTwH2r6rvr/iNkrYKCwkjkOTDVfXsJF+me2iVidtVVfs3iraq9CONZproVBiMJOdW1fOXKYIMfbTRR4F30S3RPbifG/05l4mPlw+55yfJMcCB/dsbq+rSlnlWm5XG2AzVoo3bWS07B2zjlyRJY5Lka8BXgL8HLqyqDUm+XFX7NY4mjYaFBOlBlGRX4I7lRq4MQZJHVtWts4ogQyt+JNm2qn6U5DNVdcTUyd3rquqQ1hnVlg+5teiS3MvGPUZrgaXTVUsF3p1bZZtlIjNsmnuQmRd558BybfxV9by2qSRJkh58SU4HjqPrJj0HuAhY7+FYaX4GNTZBD44kxwI7VdUHpq4fD9xVVZ9ok2x1SXIk8Nd0M5dfD5wN7Aqs6eeKf6xlvuVU1a39j/cVDAZe/FhHNzv87iSPoO+i6H/t/7tlMA1DVV0GXNY6h/STqqptWmd4oBYw88LtHJjRxr+fbfySJGksquqUJKcCT6M7VPE3wEOTnABcUlXfa5lPGgM7EkYgyZV0Cw+/NXV9V+BDVXVUm2SrS5LP0i2Y3AU4E3hmVV2d5ADgfUOcc71S8QMYXPFjqQMhyaHAW4GD6E4j7AY8r6o+3zSgJGnwFm3ngG38kiRJ95fkIWzs1Dy2qnZtHEla9exIGIftp4sIAFX17SQ7tAi0Sm1bVR8HSHJaVV0NUFU3JVn5O9s5g43Fj8uYKn4AgyokALsleUX/+oPAR+hOkP4QeAZgIUGStKJZhYKlnQNzjrMlPkDXxn8CcG+Si1h+UbskSdKqleS5wD5V9bb+0hXA7v3rU9ukksZlTesAmoud+4WCm+irt2sb5Fmtfjzx+gdT94b6gX/bqvp4v6jxtsniR+Ncs2wD7AjsBOxAVwzdBvjp/pokSVssyTZJnpXkbOAWuof1g1JVpwD7AW+ka+X/D2D3JCck2bFlNkmSpDn6Q+DiiffbA4cDvwC8uEUgaWzsSBiHC4B3JHlpVd0N0H/wfEt/T1vHwUnuol802b+mf/9T7WKtaNGKH7dW1WmtQ0iSFtui7Rzo9xZdDlw+1cb/NrqRhJIkSavddlX11Yn3V1TVHcAdTtuQ5sNCwji8Bvhz4JYkS0t19wXeCby2WapVZgGXTcLiFT8GOyNKkrQYpnYO/MHEzoFBFhFs45ckSQLgYZNvquqlE293m3MWaZRctjwiSdYCj+3f3lxV0yfQpUFL8vCqurN1DknS4kpyOt3OgS8A5wAXAeurav+mwWZIciVw4tIJvCTXAU+nG/H3rqp6est8kiRJ85DkvcAnq+odU9d/F3haVZ3UJpk0HhYSJEmSNCpJQrdv4CS68UYPBX4LuKSqvtcw2v0k+UxVHTHx/oylE3hJrq6qI9ulkyRJmo8kuwMXAj8Eru0vH0a3K+G4qvpmq2zSWFhIkCRJ0mhN7Rw4tqoGtXMgyc1V9dgZ975UVY+ZdyZJkqRWkhwDHNi/vaGqLmuZRxoTdyRIkiRpNBZw58A1SV4yo41/XaNMkiRJTfSFA4sHUgN2JIxI38b/AmD/qjotyb7AnlXlh1BJkjQKi7ZzwDZ+SZIkSUNgR8K4vB34MXAMcBqwATgfOGKlb5IkSVpFtlsqIvSuqKo7gDuS7NAq1CxVdTtw9FQb/yW28UuSJEmaJzsSRiTJtVV1aJLPVdUT+2vXV9XBrbNJkiTNgzsHJEmSJOmBW9M6gObqniTbAAWQZDe6DgVJkqSxuCbJS6YvunNAkiRJkmazI2FEkrwAOAE4FHgP8DzgtVV1btNgkiRJc+LOAUmSJEl64CwkjEySA+gWCga4tKq+2DiSJEnS3E3tHLjBnQOSJEmSNJuFhBFJcnZV/cbmrkmSJEmSJEmStMQdCeNy4OSbfl/CYY2ySJIkSZIkSZIWgIWEEUjy6iQbgCckuSvJhv797cBFjeNJkiRJkiRJkgbM0UYjkuSvqurVrXNIkiRJkiRJkhaHhYQRSHJAVd2U5NDl7lfVtfPOJEmSJEmSJElaDBYSRiDJmVX1O0kuX+Z2VdUxcw8lSZIkSZIkSVoIFhIkSZIkSZIkSdJM27YOoPlKcjTwaCZ+76vqrGaBJEmSJEmSJEmDZiFhRJKcDTwGuA64t79cgIUESZIkSZIkSdKyHG00Ikm+CDy+/E2XJEmSJEmSJG2hNa0DaK6+AOzZOoQkSZIkSZIkaXE42mgEknyIboTRTsCNSdYBP1y6X1XPaZVNkiRJkiRJkjRsFhLG4Q2tA0iSJEmSJEmSFpOFhHF4InAVcG1V/ah1GEmSJEmSJEnS4rCQMA77AKcDByRZD1xJV1i4qqrubJpMkiRJkiRJkjRoqarWGTQnSbYDDgeOBo7qv75bVY9vGkySJEmSJEmSNFh2JIzLWmBnYJf+6xvA+qaJJEmSJEmSJEmDZkfCCCQ5EzgQ2ABcA1wNXF1V32kaTJIkSZIkSZI0eGtaB9Bc7AtsD9wGfB34GvDdpokkSZIkSZIkSQvBjoSRSBK6roSj+6+DgDuBT1fVn7bMJkmSJEmSJEkaLgsJI5NkH+ApdMWEZwOPqKqHtk0lSZIkSZIkSRoqCwkjkORlbOxEuAe4auJrfVX9uGE8SZIkSZIkSdKAbds6gObi0cB5wKlVdWvjLJIkSZIkSZKkBWJHgiRJkiRJkiRJmmlN6wCSJEmSJEmSJGm4LCRIkiRJkiRJkqSZLCRIkiRJkiRJkqSZLCRIkiRJkiRJkqSZLCRIkiRJkiRJkqSZ/g8YnJHmb4+zFAAAAABJRU5ErkJggg==\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "cor_target = abs(cor[\"Class\"])\n",
        "#Selecting highly correlated features\n",
        "relevant_features = cor_target[cor_target>=0.2]\n",
        "relevant_features\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "SeQzWncF8lxs",
        "outputId": "2cd670ea-a7fc-490a-b469-7c20a158e9c9"
      },
      "execution_count": 91,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Contrast        0.363611\n",
              "Black Patch     0.361671\n",
              "Biffercation    0.368299\n",
              "CID             0.341060\n",
              "Class           1.000000\n",
              "OCL_STD2        0.297083\n",
              "FDA_STD2        0.385601\n",
              "SIGMA           0.232714\n",
              "OCL             0.205841\n",
              "FDA             0.342750\n",
              "FDA_STD         0.439348\n",
              "RVU             0.469879\n",
              "Name: Class, dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 91
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#97.2,94.6\n",
        "#train = train[['Contrast','Black Patch','Biffercation','CID','Class','OCL_STD2','FDA_STD2','SIGMA','OCL','FDA','FDA_STD','RVU']].copy() #>=0.2,96%,92%"
      ],
      "metadata": {
        "id": "7Y1_GP4m_RTN"
      },
      "execution_count": 92,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#test = test[['Contrast','Black Patch','Biffercation','CID','Class','OCL_STD2','FDA_STD2','SIGMA','OCL','FDA','FDA_STD','RVU']].copy() #>=0.2"
      ],
      "metadata": {
        "id": "GtQaaWGr_qZE"
      },
      "execution_count": 93,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "if \"Filename\"  in train.columns:\n",
        "    train.drop([\"Filename\"], axis = 1, inplace = True)\n",
        "if \"Filename\"  in test.columns:\n",
        "    test.drop([\"Filename\"], axis = 1, inplace = True)"
      ],
      "metadata": {
        "id": "t_Vg-o_P87mt"
      },
      "execution_count": 94,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "target = 'Class'\n",
        "if \"Set\"  in train.columns:\n",
        "    train.drop([\"Set\"], axis = 1)\n",
        "train[\"Set\"] = np.random.choice([\"train\", \"valid\"], p =[.8, .2], size=(train.shape[0],))\n",
        "#train[\"Set\"] = \"train\"    \n",
        "train_indices = train[train.Set==\"train\"].index\n",
        "valid_indices = train[train.Set==\"valid\"].index"
      ],
      "metadata": {
        "id": "SOHtvsFdrjzU"
      },
      "execution_count": 95,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "if \"Set\" in test.columns:\n",
        "  test.drop(['Set'], axis = 1)\n",
        "test[\"Set\"] = \"test\"\n",
        "test_indices = test[test.Set==\"test\"].index"
      ],
      "metadata": {
        "id": "xpkpmLqe1K6H"
      },
      "execution_count": 96,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "nunique = train.nunique()\n",
        "types = train.dtypes\n",
        "\n",
        "categorical_columns = []\n",
        "categorical_dims =  {}\n",
        "for col in train.columns:\n",
        "    if types[col] == 'object' or nunique[col] < 200:\n",
        "        print(col, train[col].nunique())\n",
        "        l_enc = LabelEncoder()\n",
        "        train[col] = train[col].fillna(\"VV_likely\")\n",
        "        train[col] = l_enc.fit_transform(train[col].values)\n",
        "        categorical_columns.append(col)\n",
        "        categorical_dims[col] = len(l_enc.classes_)\n",
        "    else:\n",
        "        train.fillna(train.loc[train_indices, col].mean(), inplace=True)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "z0J-nfTvtL4v",
        "outputId": "c017181e-49a0-4e28-88d9-630ec43a65fd"
      },
      "execution_count": 97,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Class 2\n",
            "Set 2\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "train.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "qrqwtfTGtNwc",
        "outputId": "9cc5695c-8554-4077-fb95-35bf4c884de6"
      },
      "execution_count": 98,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   Contrast  Black Patch  Biffercation         CID  Class  OCL_STD2  FDA_STD2  \\\n",
              "0  0.010333     0.999772          3804  107.771544      1  0.132002  0.355333   \n",
              "1  0.003752     0.999955          5288  156.874296      1  0.125693  0.320952   \n",
              "2  0.004532     0.999884          4861  218.001356      1  0.118022  0.317784   \n",
              "3  0.047750     0.998029          1661  212.954369      1  0.097421  0.315834   \n",
              "4  0.029279     0.999124          2026  181.324385      1  0.149858  0.328637   \n",
              "\n",
              "       SIGMA       OCL       FDA   FDA_STD       RVU  Set  \n",
              "0  37.139012  0.414784  0.616894  0.356391  1.302933    0  \n",
              "1  44.398540  0.321220  0.515961  0.339769  1.328657    0  \n",
              "2  38.520881  0.348407  0.626022  0.364821  1.525489    0  \n",
              "3  32.829816  0.298576  0.591813  0.348423  1.267153    0  \n",
              "4  32.878617  0.308873  0.595702  0.343960  1.379756    0  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-c6a6f206-6b1f-4fa5-b12b-57cf01704901\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Contrast</th>\n",
              "      <th>Black Patch</th>\n",
              "      <th>Biffercation</th>\n",
              "      <th>CID</th>\n",
              "      <th>Class</th>\n",
              "      <th>OCL_STD2</th>\n",
              "      <th>FDA_STD2</th>\n",
              "      <th>SIGMA</th>\n",
              "      <th>OCL</th>\n",
              "      <th>FDA</th>\n",
              "      <th>FDA_STD</th>\n",
              "      <th>RVU</th>\n",
              "      <th>Set</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0.010333</td>\n",
              "      <td>0.999772</td>\n",
              "      <td>3804</td>\n",
              "      <td>107.771544</td>\n",
              "      <td>1</td>\n",
              "      <td>0.132002</td>\n",
              "      <td>0.355333</td>\n",
              "      <td>37.139012</td>\n",
              "      <td>0.414784</td>\n",
              "      <td>0.616894</td>\n",
              "      <td>0.356391</td>\n",
              "      <td>1.302933</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0.003752</td>\n",
              "      <td>0.999955</td>\n",
              "      <td>5288</td>\n",
              "      <td>156.874296</td>\n",
              "      <td>1</td>\n",
              "      <td>0.125693</td>\n",
              "      <td>0.320952</td>\n",
              "      <td>44.398540</td>\n",
              "      <td>0.321220</td>\n",
              "      <td>0.515961</td>\n",
              "      <td>0.339769</td>\n",
              "      <td>1.328657</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>0.004532</td>\n",
              "      <td>0.999884</td>\n",
              "      <td>4861</td>\n",
              "      <td>218.001356</td>\n",
              "      <td>1</td>\n",
              "      <td>0.118022</td>\n",
              "      <td>0.317784</td>\n",
              "      <td>38.520881</td>\n",
              "      <td>0.348407</td>\n",
              "      <td>0.626022</td>\n",
              "      <td>0.364821</td>\n",
              "      <td>1.525489</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>0.047750</td>\n",
              "      <td>0.998029</td>\n",
              "      <td>1661</td>\n",
              "      <td>212.954369</td>\n",
              "      <td>1</td>\n",
              "      <td>0.097421</td>\n",
              "      <td>0.315834</td>\n",
              "      <td>32.829816</td>\n",
              "      <td>0.298576</td>\n",
              "      <td>0.591813</td>\n",
              "      <td>0.348423</td>\n",
              "      <td>1.267153</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0.029279</td>\n",
              "      <td>0.999124</td>\n",
              "      <td>2026</td>\n",
              "      <td>181.324385</td>\n",
              "      <td>1</td>\n",
              "      <td>0.149858</td>\n",
              "      <td>0.328637</td>\n",
              "      <td>32.878617</td>\n",
              "      <td>0.308873</td>\n",
              "      <td>0.595702</td>\n",
              "      <td>0.343960</td>\n",
              "      <td>1.379756</td>\n",
              "      <td>0</td>\n",
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              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-c6a6f206-6b1f-4fa5-b12b-57cf01704901');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
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              "            + ' to learn more about interactive tables.';\n",
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              "  "
            ]
          },
          "metadata": {},
          "execution_count": 98
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "nunique = test.nunique()\n",
        "types = test.dtypes\n",
        "for col in test.columns:\n",
        "    if types[col] == 'object' or nunique[col] < 200:\n",
        "        print(col, test[col].nunique())\n",
        "        l_enc = LabelEncoder()\n",
        "        test[col] = test[col].fillna(\"VV_likely\")\n",
        "        test[col] = l_enc.fit_transform(test[col].values)\n",
        "    else:\n",
        "        test.fillna(test.loc[test_indices, col].mean(), inplace=True)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "merYqaRh1xVs",
        "outputId": "4718c889-b164-4548-e9b9-9b361f77fcda"
      },
      "execution_count": 99,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Class 2\n",
            "Set 1\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "train.loc[train[target]==0, target] = \"classZero\"\n",
        "train.loc[train[target]==1, target] = \"classOne\"\n",
        "test.loc[test[target]==0, target] = \"classZero\"\n",
        "test.loc[test[target]==1, target] = \"classOne\""
      ],
      "metadata": {
        "id": "7we2KydSte9E"
      },
      "execution_count": 100,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "unused_feat = ['Set']\n",
        "\n",
        "features = [ col for col in train.columns if col not in unused_feat+[target]] \n",
        "\n",
        "cat_idxs = [ i for i, f in enumerate(features) if f in categorical_columns]\n",
        "\n",
        "cat_dims = [ categorical_dims[f] for i, f in enumerate(features) if f in categorical_columns]"
      ],
      "metadata": {
        "id": "nRYcwNaww3qt"
      },
      "execution_count": 101,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "tabnet_params = {\"cat_idxs\":cat_idxs,\n",
        "                 \"cat_dims\":cat_dims,\n",
        "                 \"cat_emb_dim\":1,\n",
        "                 \"optimizer_fn\":torch.optim.Adam,\n",
        "                 \"optimizer_params\":dict(lr=2e-2),\n",
        "                 \"scheduler_params\":{\"step_size\":50, # how to use learning rate scheduler\n",
        "                                 \"gamma\":0.9},\n",
        "                 \"scheduler_fn\":torch.optim.lr_scheduler.StepLR,\n",
        "                 \"mask_type\":'entmax' # \"sparsemax\"\n",
        "                }\n",
        "\n",
        "clf = TabNetClassifier(**tabnet_params\n",
        "                      )"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Z4g5C-Rg2LtI",
        "outputId": "6a1b5904-a43d-446e-f3c3-c96122f04755"
      },
      "execution_count": 102,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/pytorch_tabnet/abstract_model.py:75: UserWarning: Device used : cpu\n",
            "  warnings.warn(f\"Device used : {self.device}\")\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "X_train = train[features].values[train_indices]\n",
        "y_train = train[target].values[train_indices]\n",
        "\n",
        "X_valid = train[features].values[valid_indices]\n",
        "y_valid = train[target].values[valid_indices]\n",
        "\n",
        "X_test = test[features].values[test_indices]\n",
        "y_test = test[target].values[test_indices]\n"
      ],
      "metadata": {
        "id": "AV1Zy6zd2_Nk"
      },
      "execution_count": 103,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "X_train[0]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "E7C_d8owLLn6",
        "outputId": "239e09b9-1c0d-4cdd-d740-a6607424c995"
      },
      "execution_count": 104,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([1.03334550e-02, 9.99772299e-01, 3.80400000e+03, 1.07771544e+02,\n",
              "       1.32001804e-01, 3.55333434e-01, 3.71390116e+01, 4.14784012e-01,\n",
              "       6.16894174e-01, 3.56390888e-01, 1.30293305e+00])"
            ]
          },
          "metadata": {},
          "execution_count": 104
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "max_epochs = 100 if not os.getenv(\"CI\", False) else 2"
      ],
      "metadata": {
        "id": "KaM5yMDF3HFK"
      },
      "execution_count": 105,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "class ClassificationSMOTE():\n",
        "    \"\"\"\n",
        "    Apply SMOTE for classification tasks.\n",
        "    This will average a percentage p of the elements in the batch with other elements.\n",
        "    The target will stay unchanged and keep the value of the most important row in the mix.\n",
        "    \"\"\"\n",
        "    def __init__(self, device_name=\"auto\", p=0.8, alpha=0.5, beta=0.5, seed=0):\n",
        "        \"\"\n",
        "        self.seed = seed\n",
        "        self._set_seed()\n",
        "        self.device = define_device(device_name)\n",
        "        self.alpha = alpha\n",
        "        self.beta = beta\n",
        "        self.p = p\n",
        "        if (p < 0.) or (p > 1.0):\n",
        "            raise ValueError(\"Value of p should be between 0. and 1.\")\n",
        "\n",
        "    def _set_seed(self):\n",
        "        torch.manual_seed(self.seed)\n",
        "        np.random.seed(self.seed)\n",
        "        return\n",
        "\n",
        "    def __call__(self, X, y):\n",
        "        batch_size = X.shape[0]\n",
        "        random_values = torch.rand(batch_size, device=self.device)\n",
        "        idx_to_change = random_values < self.p\n",
        "\n",
        "        # ensure that first element to switch has probability > 0.5\n",
        "        np_betas = np.random.beta(self.alpha, self.beta, batch_size) / 2 + 0.5\n",
        "        random_betas = torch.from_numpy(np_betas).to(self.device).float()\n",
        "        index_permute = torch.randperm(batch_size, device=self.device)\n",
        "\n",
        "        X[idx_to_change] = random_betas[idx_to_change, None] * X[idx_to_change]\n",
        "        X[idx_to_change] += (1 - random_betas[idx_to_change, None]) * X[index_permute][idx_to_change].view(X[idx_to_change].size())  # noqa\n",
        "\n",
        "        return X, y"
      ],
      "metadata": {
        "id": "vnI1DR5q2FWO"
      },
      "execution_count": 106,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from pytorch_tabnet.augmentations import ClassificationSMOTE\n",
        "aug = ClassificationSMOTE(p=0.2)"
      ],
      "metadata": {
        "id": "O8o_uEQg2VHL"
      },
      "execution_count": 107,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "save_history = []\n",
        "for _ in range(2):\n",
        "    clf.fit(\n",
        "        X_train=X_train, y_train=y_train,\n",
        "        eval_set=[(X_train, y_train), (X_valid, y_valid)],\n",
        "        eval_name=['train', 'valid'],\n",
        "        eval_metric=['auc'],\n",
        "        max_epochs=max_epochs , patience=20,\n",
        "        batch_size=1024, virtual_batch_size=128,\n",
        "        num_workers=0,\n",
        "        weights=1,\n",
        "        drop_last=False,\n",
        "        augmentations=aug,#aug, None\n",
        "    )\n",
        "    save_history.append(clf.history[\"valid_auc\"])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "bMdIJzCv3QvZ",
        "outputId": "73022983-bab3-40cc-fb1e-c143f50b6bdf"
      },
      "execution_count": 108,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "epoch 0  | loss: 0.62576 | train_auc: 0.71058 | valid_auc: 0.71814 |  0:00:00s\n",
            "epoch 1  | loss: 0.43749 | train_auc: 0.70654 | valid_auc: 0.71159 |  0:00:00s\n",
            "epoch 2  | loss: 0.38443 | train_auc: 0.6352  | valid_auc: 0.62892 |  0:00:01s\n",
            "epoch 3  | loss: 0.36897 | train_auc: 0.59869 | valid_auc: 0.58388 |  0:00:01s\n",
            "epoch 4  | loss: 0.33996 | train_auc: 0.64571 | valid_auc: 0.63148 |  0:00:02s\n",
            "epoch 5  | loss: 0.32127 | train_auc: 0.75942 | valid_auc: 0.74707 |  0:00:02s\n",
            "epoch 6  | loss: 0.33186 | train_auc: 0.74441 | valid_auc: 0.74461 |  0:00:03s\n",
            "epoch 7  | loss: 0.29937 | train_auc: 0.72764 | valid_auc: 0.73648 |  0:00:03s\n",
            "epoch 8  | loss: 0.29969 | train_auc: 0.65754 | valid_auc: 0.65828 |  0:00:04s\n",
            "epoch 9  | loss: 0.29208 | train_auc: 0.64896 | valid_auc: 0.64396 |  0:00:05s\n",
            "epoch 10 | loss: 0.2851  | train_auc: 0.70061 | valid_auc: 0.70686 |  0:00:06s\n",
            "epoch 11 | loss: 0.28548 | train_auc: 0.714   | valid_auc: 0.72056 |  0:00:07s\n",
            "epoch 12 | loss: 0.27615 | train_auc: 0.72475 | valid_auc: 0.72959 |  0:00:08s\n",
            "epoch 13 | loss: 0.27246 | train_auc: 0.71733 | valid_auc: 0.71773 |  0:00:08s\n",
            "epoch 14 | loss: 0.26748 | train_auc: 0.78194 | valid_auc: 0.77882 |  0:00:10s\n",
            "epoch 15 | loss: 0.27717 | train_auc: 0.77552 | valid_auc: 0.77288 |  0:00:11s\n",
            "epoch 16 | loss: 0.27322 | train_auc: 0.83152 | valid_auc: 0.82666 |  0:00:13s\n",
            "epoch 17 | loss: 0.27259 | train_auc: 0.81761 | valid_auc: 0.81883 |  0:00:14s\n",
            "epoch 18 | loss: 0.26444 | train_auc: 0.81126 | valid_auc: 0.81175 |  0:00:15s\n",
            "epoch 19 | loss: 0.25457 | train_auc: 0.84562 | valid_auc: 0.84824 |  0:00:16s\n",
            "epoch 20 | loss: 0.25984 | train_auc: 0.83025 | valid_auc: 0.82717 |  0:00:17s\n",
            "epoch 21 | loss: 0.25536 | train_auc: 0.84487 | valid_auc: 0.84254 |  0:00:17s\n",
            "epoch 22 | loss: 0.27754 | train_auc: 0.835   | valid_auc: 0.83112 |  0:00:18s\n",
            "epoch 23 | loss: 0.26357 | train_auc: 0.856   | valid_auc: 0.85105 |  0:00:19s\n",
            "epoch 24 | loss: 0.25941 | train_auc: 0.85348 | valid_auc: 0.84652 |  0:00:20s\n",
            "epoch 25 | loss: 0.25831 | train_auc: 0.83698 | valid_auc: 0.8324  |  0:00:21s\n",
            "epoch 26 | loss: 0.25235 | train_auc: 0.87155 | valid_auc: 0.86844 |  0:00:22s\n",
            "epoch 27 | loss: 0.22871 | train_auc: 0.86857 | valid_auc: 0.86599 |  0:00:23s\n",
            "epoch 28 | loss: 0.23939 | train_auc: 0.8513  | valid_auc: 0.84708 |  0:00:24s\n",
            "epoch 29 | loss: 0.24448 | train_auc: 0.8434  | valid_auc: 0.83235 |  0:00:25s\n",
            "epoch 30 | loss: 0.24954 | train_auc: 0.85361 | valid_auc: 0.84342 |  0:00:26s\n",
            "epoch 31 | loss: 0.25501 | train_auc: 0.85715 | valid_auc: 0.8526  |  0:00:27s\n",
            "epoch 32 | loss: 0.23298 | train_auc: 0.87468 | valid_auc: 0.87088 |  0:00:28s\n",
            "epoch 33 | loss: 0.22854 | train_auc: 0.87854 | valid_auc: 0.87575 |  0:00:29s\n",
            "epoch 34 | loss: 0.24711 | train_auc: 0.87876 | valid_auc: 0.87658 |  0:00:29s\n",
            "epoch 35 | loss: 0.23704 | train_auc: 0.87481 | valid_auc: 0.87186 |  0:00:30s\n",
            "epoch 36 | loss: 0.22844 | train_auc: 0.87965 | valid_auc: 0.87648 |  0:00:30s\n",
            "epoch 37 | loss: 0.24699 | train_auc: 0.89195 | valid_auc: 0.89183 |  0:00:31s\n",
            "epoch 38 | loss: 0.24189 | train_auc: 0.90432 | valid_auc: 0.90289 |  0:00:31s\n",
            "epoch 39 | loss: 0.23613 | train_auc: 0.90315 | valid_auc: 0.90106 |  0:00:32s\n",
            "epoch 40 | loss: 0.24099 | train_auc: 0.92295 | valid_auc: 0.91937 |  0:00:32s\n",
            "epoch 41 | loss: 0.24085 | train_auc: 0.91975 | valid_auc: 0.91825 |  0:00:32s\n",
            "epoch 42 | loss: 0.232   | train_auc: 0.90176 | valid_auc: 0.89509 |  0:00:33s\n",
            "epoch 43 | loss: 0.24274 | train_auc: 0.91124 | valid_auc: 0.90661 |  0:00:33s\n",
            "epoch 44 | loss: 0.23094 | train_auc: 0.92664 | valid_auc: 0.92156 |  0:00:34s\n",
            "epoch 45 | loss: 0.23224 | train_auc: 0.92644 | valid_auc: 0.921   |  0:00:34s\n",
            "epoch 46 | loss: 0.22674 | train_auc: 0.93853 | valid_auc: 0.93192 |  0:00:35s\n",
            "epoch 47 | loss: 0.22468 | train_auc: 0.93636 | valid_auc: 0.92943 |  0:00:35s\n",
            "epoch 48 | loss: 0.2217  | train_auc: 0.94779 | valid_auc: 0.93754 |  0:00:35s\n",
            "epoch 49 | loss: 0.23369 | train_auc: 0.93388 | valid_auc: 0.9255  |  0:00:36s\n",
            "epoch 50 | loss: 0.21607 | train_auc: 0.93762 | valid_auc: 0.93005 |  0:00:36s\n",
            "epoch 51 | loss: 0.21015 | train_auc: 0.9419  | valid_auc: 0.93584 |  0:00:37s\n",
            "epoch 52 | loss: 0.22095 | train_auc: 0.94595 | valid_auc: 0.93594 |  0:00:37s\n",
            "epoch 53 | loss: 0.23501 | train_auc: 0.94354 | valid_auc: 0.93271 |  0:00:37s\n",
            "epoch 54 | loss: 0.22552 | train_auc: 0.93948 | valid_auc: 0.93005 |  0:00:38s\n",
            "epoch 55 | loss: 0.20535 | train_auc: 0.94579 | valid_auc: 0.93971 |  0:00:38s\n",
            "epoch 56 | loss: 0.21437 | train_auc: 0.96136 | valid_auc: 0.95246 |  0:00:39s\n",
            "epoch 57 | loss: 0.22177 | train_auc: 0.95711 | valid_auc: 0.94736 |  0:00:39s\n",
            "epoch 58 | loss: 0.21345 | train_auc: 0.95156 | valid_auc: 0.94195 |  0:00:40s\n",
            "epoch 59 | loss: 0.22591 | train_auc: 0.94676 | valid_auc: 0.94122 |  0:00:40s\n",
            "epoch 60 | loss: 0.22532 | train_auc: 0.96432 | valid_auc: 0.95151 |  0:00:40s\n",
            "epoch 61 | loss: 0.22274 | train_auc: 0.95864 | valid_auc: 0.94816 |  0:00:41s\n",
            "epoch 62 | loss: 0.21008 | train_auc: 0.96661 | valid_auc: 0.95216 |  0:00:41s\n",
            "epoch 63 | loss: 0.21596 | train_auc: 0.96742 | valid_auc: 0.95349 |  0:00:42s\n",
            "epoch 64 | loss: 0.2092  | train_auc: 0.96169 | valid_auc: 0.94863 |  0:00:42s\n",
            "epoch 65 | loss: 0.23178 | train_auc: 0.96017 | valid_auc: 0.94555 |  0:00:42s\n",
            "epoch 66 | loss: 0.2052  | train_auc: 0.96727 | valid_auc: 0.95492 |  0:00:43s\n",
            "epoch 67 | loss: 0.21815 | train_auc: 0.96759 | valid_auc: 0.95698 |  0:00:43s\n",
            "epoch 68 | loss: 0.21086 | train_auc: 0.96732 | valid_auc: 0.9526  |  0:00:44s\n",
            "epoch 69 | loss: 0.20626 | train_auc: 0.96844 | valid_auc: 0.95698 |  0:00:44s\n",
            "epoch 70 | loss: 0.2192  | train_auc: 0.97272 | valid_auc: 0.95659 |  0:00:45s\n",
            "epoch 71 | loss: 0.20746 | train_auc: 0.97021 | valid_auc: 0.95767 |  0:00:45s\n",
            "epoch 72 | loss: 0.20327 | train_auc: 0.97223 | valid_auc: 0.96023 |  0:00:45s\n",
            "epoch 73 | loss: 0.20483 | train_auc: 0.97556 | valid_auc: 0.96222 |  0:00:46s\n",
            "epoch 74 | loss: 0.21234 | train_auc: 0.97169 | valid_auc: 0.95744 |  0:00:46s\n",
            "epoch 75 | loss: 0.20285 | train_auc: 0.97515 | valid_auc: 0.96182 |  0:00:47s\n",
            "epoch 76 | loss: 0.21168 | train_auc: 0.97026 | valid_auc: 0.9574  |  0:00:47s\n",
            "epoch 77 | loss: 0.20683 | train_auc: 0.97775 | valid_auc: 0.96456 |  0:00:48s\n",
            "epoch 78 | loss: 0.19937 | train_auc: 0.97646 | valid_auc: 0.96325 |  0:00:48s\n",
            "epoch 79 | loss: 0.21194 | train_auc: 0.976   | valid_auc: 0.9598  |  0:00:48s\n",
            "epoch 80 | loss: 0.20393 | train_auc: 0.97828 | valid_auc: 0.96031 |  0:00:49s\n",
            "epoch 81 | loss: 0.20201 | train_auc: 0.97904 | valid_auc: 0.96104 |  0:00:49s\n",
            "epoch 82 | loss: 0.19757 | train_auc: 0.97635 | valid_auc: 0.95807 |  0:00:50s\n",
            "epoch 83 | loss: 0.20888 | train_auc: 0.9789  | valid_auc: 0.96412 |  0:00:50s\n",
            "epoch 84 | loss: 0.20461 | train_auc: 0.98232 | valid_auc: 0.96723 |  0:00:50s\n",
            "epoch 85 | loss: 0.20358 | train_auc: 0.97992 | valid_auc: 0.964   |  0:00:51s\n",
            "epoch 86 | loss: 0.20141 | train_auc: 0.98025 | valid_auc: 0.96321 |  0:00:51s\n",
            "epoch 87 | loss: 0.20978 | train_auc: 0.98212 | valid_auc: 0.96388 |  0:00:52s\n",
            "epoch 88 | loss: 0.21427 | train_auc: 0.98244 | valid_auc: 0.96583 |  0:00:52s\n",
            "epoch 89 | loss: 0.20162 | train_auc: 0.98337 | valid_auc: 0.96662 |  0:00:52s\n",
            "epoch 90 | loss: 0.20358 | train_auc: 0.9829  | valid_auc: 0.96736 |  0:00:53s\n",
            "epoch 91 | loss: 0.19564 | train_auc: 0.98292 | valid_auc: 0.96552 |  0:00:53s\n",
            "epoch 92 | loss: 0.18973 | train_auc: 0.98332 | valid_auc: 0.96729 |  0:00:54s\n",
            "epoch 93 | loss: 0.20916 | train_auc: 0.98583 | valid_auc: 0.96896 |  0:00:54s\n",
            "epoch 94 | loss: 0.20566 | train_auc: 0.98355 | valid_auc: 0.96512 |  0:00:55s\n",
            "epoch 95 | loss: 0.18519 | train_auc: 0.98475 | valid_auc: 0.9684  |  0:00:55s\n",
            "epoch 96 | loss: 0.20107 | train_auc: 0.98199 | valid_auc: 0.965   |  0:00:55s\n",
            "epoch 97 | loss: 0.20036 | train_auc: 0.9847  | valid_auc: 0.96676 |  0:00:56s\n",
            "epoch 98 | loss: 0.19816 | train_auc: 0.98564 | valid_auc: 0.96805 |  0:00:56s\n",
            "epoch 99 | loss: 0.19002 | train_auc: 0.9863  | valid_auc: 0.9677  |  0:00:57s\n",
            "Stop training because you reached max_epochs = 100 with best_epoch = 93 and best_valid_auc = 0.96896\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/pytorch_tabnet/callbacks.py:172: UserWarning: Best weights from best epoch are automatically used!\n",
            "  warnings.warn(wrn_msg)\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "epoch 0  | loss: 0.62576 | train_auc: 0.71058 | valid_auc: 0.71814 |  0:00:00s\n",
            "epoch 1  | loss: 0.43749 | train_auc: 0.70654 | valid_auc: 0.71159 |  0:00:00s\n",
            "epoch 2  | loss: 0.38443 | train_auc: 0.6352  | valid_auc: 0.62892 |  0:00:01s\n",
            "epoch 3  | loss: 0.36897 | train_auc: 0.59869 | valid_auc: 0.58388 |  0:00:01s\n",
            "epoch 4  | loss: 0.33996 | train_auc: 0.64571 | valid_auc: 0.63148 |  0:00:02s\n",
            "epoch 5  | loss: 0.32127 | train_auc: 0.75942 | valid_auc: 0.74707 |  0:00:02s\n",
            "epoch 6  | loss: 0.33186 | train_auc: 0.74441 | valid_auc: 0.74461 |  0:00:02s\n",
            "epoch 7  | loss: 0.29937 | train_auc: 0.72764 | valid_auc: 0.73648 |  0:00:03s\n",
            "epoch 8  | loss: 0.29969 | train_auc: 0.65754 | valid_auc: 0.65828 |  0:00:03s\n",
            "epoch 9  | loss: 0.29208 | train_auc: 0.64896 | valid_auc: 0.64396 |  0:00:04s\n",
            "epoch 10 | loss: 0.2851  | train_auc: 0.70061 | valid_auc: 0.70686 |  0:00:04s\n",
            "epoch 11 | loss: 0.28548 | train_auc: 0.714   | valid_auc: 0.72056 |  0:00:04s\n",
            "epoch 12 | loss: 0.27615 | train_auc: 0.72475 | valid_auc: 0.72959 |  0:00:05s\n",
            "epoch 13 | loss: 0.27246 | train_auc: 0.71733 | valid_auc: 0.71773 |  0:00:05s\n",
            "epoch 14 | loss: 0.26748 | train_auc: 0.78194 | valid_auc: 0.77882 |  0:00:06s\n",
            "epoch 15 | loss: 0.27717 | train_auc: 0.77552 | valid_auc: 0.77288 |  0:00:06s\n",
            "epoch 16 | loss: 0.27322 | train_auc: 0.83152 | valid_auc: 0.82666 |  0:00:07s\n",
            "epoch 17 | loss: 0.27259 | train_auc: 0.81761 | valid_auc: 0.81883 |  0:00:07s\n",
            "epoch 18 | loss: 0.26444 | train_auc: 0.81126 | valid_auc: 0.81175 |  0:00:08s\n",
            "epoch 19 | loss: 0.25457 | train_auc: 0.84562 | valid_auc: 0.84824 |  0:00:08s\n",
            "epoch 20 | loss: 0.25984 | train_auc: 0.83025 | valid_auc: 0.82717 |  0:00:08s\n",
            "epoch 21 | loss: 0.25536 | train_auc: 0.84487 | valid_auc: 0.84254 |  0:00:09s\n",
            "epoch 22 | loss: 0.27754 | train_auc: 0.835   | valid_auc: 0.83112 |  0:00:09s\n",
            "epoch 23 | loss: 0.26357 | train_auc: 0.856   | valid_auc: 0.85105 |  0:00:10s\n",
            "epoch 24 | loss: 0.25941 | train_auc: 0.85348 | valid_auc: 0.84652 |  0:00:10s\n",
            "epoch 25 | loss: 0.25831 | train_auc: 0.83698 | valid_auc: 0.8324  |  0:00:10s\n",
            "epoch 26 | loss: 0.25235 | train_auc: 0.87155 | valid_auc: 0.86844 |  0:00:11s\n",
            "epoch 27 | loss: 0.22871 | train_auc: 0.86857 | valid_auc: 0.86599 |  0:00:11s\n",
            "epoch 28 | loss: 0.23939 | train_auc: 0.8513  | valid_auc: 0.84708 |  0:00:12s\n",
            "epoch 29 | loss: 0.24448 | train_auc: 0.8434  | valid_auc: 0.83235 |  0:00:12s\n",
            "epoch 30 | loss: 0.24954 | train_auc: 0.85361 | valid_auc: 0.84342 |  0:00:13s\n",
            "epoch 31 | loss: 0.25501 | train_auc: 0.85715 | valid_auc: 0.8526  |  0:00:13s\n",
            "epoch 32 | loss: 0.23298 | train_auc: 0.87468 | valid_auc: 0.87088 |  0:00:13s\n",
            "epoch 33 | loss: 0.22854 | train_auc: 0.87854 | valid_auc: 0.87575 |  0:00:14s\n",
            "epoch 34 | loss: 0.24711 | train_auc: 0.87876 | valid_auc: 0.87658 |  0:00:14s\n",
            "epoch 35 | loss: 0.23704 | train_auc: 0.87481 | valid_auc: 0.87186 |  0:00:15s\n",
            "epoch 36 | loss: 0.22844 | train_auc: 0.87965 | valid_auc: 0.87648 |  0:00:15s\n",
            "epoch 37 | loss: 0.24699 | train_auc: 0.89195 | valid_auc: 0.89183 |  0:00:15s\n",
            "epoch 38 | loss: 0.24189 | train_auc: 0.90432 | valid_auc: 0.90289 |  0:00:16s\n",
            "epoch 39 | loss: 0.23613 | train_auc: 0.90315 | valid_auc: 0.90106 |  0:00:16s\n",
            "epoch 40 | loss: 0.24099 | train_auc: 0.92295 | valid_auc: 0.91937 |  0:00:17s\n",
            "epoch 41 | loss: 0.24085 | train_auc: 0.91975 | valid_auc: 0.91825 |  0:00:17s\n",
            "epoch 42 | loss: 0.232   | train_auc: 0.90176 | valid_auc: 0.89509 |  0:00:17s\n",
            "epoch 43 | loss: 0.24274 | train_auc: 0.91124 | valid_auc: 0.90661 |  0:00:18s\n",
            "epoch 44 | loss: 0.23094 | train_auc: 0.92664 | valid_auc: 0.92156 |  0:00:18s\n",
            "epoch 45 | loss: 0.23224 | train_auc: 0.92644 | valid_auc: 0.921   |  0:00:19s\n",
            "epoch 46 | loss: 0.22674 | train_auc: 0.93853 | valid_auc: 0.93192 |  0:00:19s\n",
            "epoch 47 | loss: 0.22468 | train_auc: 0.93636 | valid_auc: 0.92943 |  0:00:20s\n",
            "epoch 48 | loss: 0.2217  | train_auc: 0.94779 | valid_auc: 0.93754 |  0:00:20s\n",
            "epoch 49 | loss: 0.23369 | train_auc: 0.93388 | valid_auc: 0.9255  |  0:00:21s\n",
            "epoch 50 | loss: 0.21607 | train_auc: 0.93762 | valid_auc: 0.93005 |  0:00:21s\n",
            "epoch 51 | loss: 0.21015 | train_auc: 0.9419  | valid_auc: 0.93584 |  0:00:21s\n",
            "epoch 52 | loss: 0.22095 | train_auc: 0.94595 | valid_auc: 0.93594 |  0:00:22s\n",
            "epoch 53 | loss: 0.23501 | train_auc: 0.94354 | valid_auc: 0.93271 |  0:00:22s\n",
            "epoch 54 | loss: 0.22552 | train_auc: 0.93948 | valid_auc: 0.93005 |  0:00:23s\n",
            "epoch 55 | loss: 0.20535 | train_auc: 0.94579 | valid_auc: 0.93971 |  0:00:23s\n",
            "epoch 56 | loss: 0.21437 | train_auc: 0.96136 | valid_auc: 0.95246 |  0:00:23s\n",
            "epoch 57 | loss: 0.22177 | train_auc: 0.95711 | valid_auc: 0.94736 |  0:00:24s\n",
            "epoch 58 | loss: 0.21345 | train_auc: 0.95156 | valid_auc: 0.94195 |  0:00:24s\n",
            "epoch 59 | loss: 0.22591 | train_auc: 0.94676 | valid_auc: 0.94122 |  0:00:25s\n",
            "epoch 60 | loss: 0.22532 | train_auc: 0.96432 | valid_auc: 0.95151 |  0:00:25s\n",
            "epoch 61 | loss: 0.22274 | train_auc: 0.95864 | valid_auc: 0.94816 |  0:00:26s\n",
            "epoch 62 | loss: 0.21008 | train_auc: 0.96661 | valid_auc: 0.95216 |  0:00:26s\n",
            "epoch 63 | loss: 0.21596 | train_auc: 0.96742 | valid_auc: 0.95349 |  0:00:26s\n",
            "epoch 64 | loss: 0.2092  | train_auc: 0.96169 | valid_auc: 0.94863 |  0:00:27s\n",
            "epoch 65 | loss: 0.23178 | train_auc: 0.96017 | valid_auc: 0.94555 |  0:00:27s\n",
            "epoch 66 | loss: 0.2052  | train_auc: 0.96727 | valid_auc: 0.95492 |  0:00:28s\n",
            "epoch 67 | loss: 0.21815 | train_auc: 0.96759 | valid_auc: 0.95698 |  0:00:28s\n",
            "epoch 68 | loss: 0.21086 | train_auc: 0.96732 | valid_auc: 0.9526  |  0:00:28s\n",
            "epoch 69 | loss: 0.20626 | train_auc: 0.96844 | valid_auc: 0.95698 |  0:00:29s\n",
            "epoch 70 | loss: 0.2192  | train_auc: 0.97272 | valid_auc: 0.95659 |  0:00:29s\n",
            "epoch 71 | loss: 0.20746 | train_auc: 0.97021 | valid_auc: 0.95767 |  0:00:30s\n",
            "epoch 72 | loss: 0.20327 | train_auc: 0.97223 | valid_auc: 0.96023 |  0:00:30s\n",
            "epoch 73 | loss: 0.20483 | train_auc: 0.97556 | valid_auc: 0.96222 |  0:00:31s\n",
            "epoch 74 | loss: 0.21234 | train_auc: 0.97169 | valid_auc: 0.95744 |  0:00:31s\n",
            "epoch 75 | loss: 0.20285 | train_auc: 0.97515 | valid_auc: 0.96182 |  0:00:31s\n",
            "epoch 76 | loss: 0.21168 | train_auc: 0.97026 | valid_auc: 0.9574  |  0:00:32s\n",
            "epoch 77 | loss: 0.20683 | train_auc: 0.97775 | valid_auc: 0.96456 |  0:00:32s\n",
            "epoch 78 | loss: 0.19937 | train_auc: 0.97646 | valid_auc: 0.96325 |  0:00:33s\n",
            "epoch 79 | loss: 0.21194 | train_auc: 0.976   | valid_auc: 0.9598  |  0:00:33s\n",
            "epoch 80 | loss: 0.20393 | train_auc: 0.97828 | valid_auc: 0.96031 |  0:00:34s\n",
            "epoch 81 | loss: 0.20201 | train_auc: 0.97904 | valid_auc: 0.96104 |  0:00:34s\n",
            "epoch 82 | loss: 0.19757 | train_auc: 0.97635 | valid_auc: 0.95807 |  0:00:34s\n",
            "epoch 83 | loss: 0.20888 | train_auc: 0.9789  | valid_auc: 0.96412 |  0:00:35s\n",
            "epoch 84 | loss: 0.20461 | train_auc: 0.98232 | valid_auc: 0.96723 |  0:00:35s\n",
            "epoch 85 | loss: 0.20358 | train_auc: 0.97992 | valid_auc: 0.964   |  0:00:36s\n",
            "epoch 86 | loss: 0.20141 | train_auc: 0.98025 | valid_auc: 0.96321 |  0:00:36s\n",
            "epoch 87 | loss: 0.20978 | train_auc: 0.98212 | valid_auc: 0.96388 |  0:00:36s\n",
            "epoch 88 | loss: 0.21427 | train_auc: 0.98244 | valid_auc: 0.96583 |  0:00:37s\n",
            "epoch 89 | loss: 0.20162 | train_auc: 0.98337 | valid_auc: 0.96662 |  0:00:37s\n",
            "epoch 90 | loss: 0.20358 | train_auc: 0.9829  | valid_auc: 0.96736 |  0:00:38s\n",
            "epoch 91 | loss: 0.19564 | train_auc: 0.98292 | valid_auc: 0.96552 |  0:00:38s\n",
            "epoch 92 | loss: 0.18973 | train_auc: 0.98332 | valid_auc: 0.96729 |  0:00:39s\n",
            "epoch 93 | loss: 0.20916 | train_auc: 0.98583 | valid_auc: 0.96896 |  0:00:39s\n",
            "epoch 94 | loss: 0.20566 | train_auc: 0.98355 | valid_auc: 0.96512 |  0:00:39s\n",
            "epoch 95 | loss: 0.18519 | train_auc: 0.98475 | valid_auc: 0.9684  |  0:00:40s\n",
            "epoch 96 | loss: 0.20107 | train_auc: 0.98199 | valid_auc: 0.965   |  0:00:40s\n",
            "epoch 97 | loss: 0.20036 | train_auc: 0.9847  | valid_auc: 0.96676 |  0:00:41s\n",
            "epoch 98 | loss: 0.19816 | train_auc: 0.98564 | valid_auc: 0.96805 |  0:00:41s\n",
            "epoch 99 | loss: 0.19002 | train_auc: 0.9863  | valid_auc: 0.9677  |  0:00:42s\n",
            "Stop training because you reached max_epochs = 100 with best_epoch = 93 and best_valid_auc = 0.96896\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/pytorch_tabnet/callbacks.py:172: UserWarning: Best weights from best epoch are automatically used!\n",
            "  warnings.warn(wrn_msg)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.plot(clf.history['loss'])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 282
        },
        "id": "-j1jSKYa3Rrr",
        "outputId": "2e80a531-1e64-460b-9de4-ff6db4415c7e"
      },
      "execution_count": 109,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[<matplotlib.lines.Line2D at 0x7f96fa910790>]"
            ]
          },
          "metadata": {},
          "execution_count": 109
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.plot(clf.history['train_auc'])\n",
        "plt.plot(clf.history['valid_auc'])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 283
        },
        "id": "hjAQ0bH338_t",
        "outputId": "036c0fa2-4ad0-4e97-add3-828b46f94d13"
      },
      "execution_count": 110,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[<matplotlib.lines.Line2D at 0x7f96f7e273d0>]"
            ]
          },
          "metadata": {},
          "execution_count": 110
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.plot(clf.history['lr'])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 282
        },
        "id": "T-oDi1HE4X_f",
        "outputId": "cd739a3d-0749-441c-b747-555bd3dc9a86"
      },
      "execution_count": 111,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[<matplotlib.lines.Line2D at 0x7f96f7e2d710>]"
            ]
          },
          "metadata": {},
          "execution_count": 111
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "target = 'Class'"
      ],
      "metadata": {
        "id": "DzYykAYH4a3w"
      },
      "execution_count": 112,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "25CsWk8u40Wy"
      },
      "execution_count": 112,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "test_indices"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "KcQZybaaG3jn",
        "outputId": "d7a92239-02c7-4dc8-9446-d7a1bf9da0e6"
      },
      "execution_count": 113,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Int64Index([   0,    1,    2,    3,    4,    5,    6,    7,    8,    9,\n",
              "            ...\n",
              "            7822, 7823, 7824, 7825, 7826, 7827, 7828, 7829, 7830, 7831],\n",
              "           dtype='int64', length=7832)"
            ]
          },
          "metadata": {},
          "execution_count": 113
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "\n",
        "\n",
        "\n",
        "test.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "uKZQCZUB5TKL",
        "outputId": "dc9e041e-46e3-4282-8488-e4ad8c1b6df9"
      },
      "execution_count": 114,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   Contrast  Black Patch  Biffercation         CID     Class  OCL_STD2  \\\n",
              "0  0.166200     0.976471          1509  332.053514  classOne  0.053521   \n",
              "1  0.098199     0.989966          1339  265.142266  classOne  0.052430   \n",
              "2  0.054095     0.996549          1679  293.976355  classOne  0.046736   \n",
              "3  0.024822     0.998801          1902  289.341544  classOne  0.063880   \n",
              "4  0.129463     0.985666          1132  314.832926  classOne  0.079128   \n",
              "\n",
              "   FDA_STD2      SIGMA       OCL       FDA   FDA_STD       RVU  Set  \n",
              "0  0.082080  67.018535  0.837883  0.450442  0.165506  0.533431    0  \n",
              "1  0.084231  63.075490  0.841040  0.420273  0.147372  0.457116    0  \n",
              "2  0.077678  60.396876  0.820264  0.417944  0.142840  0.505789    0  \n",
              "3  0.079486  41.377170  0.751794  0.400578  0.134042  0.478189    0  \n",
              "4  0.107797  49.720384  0.800174  0.436506  0.175556  0.459725    0  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-f801b82b-d9ed-4ba1-98f9-64cf8df183e7\">\n",
              "    <div class=\"colab-df-container\">\n",
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Contrast</th>\n",
              "      <th>Black Patch</th>\n",
              "      <th>Biffercation</th>\n",
              "      <th>CID</th>\n",
              "      <th>Class</th>\n",
              "      <th>OCL_STD2</th>\n",
              "      <th>FDA_STD2</th>\n",
              "      <th>SIGMA</th>\n",
              "      <th>OCL</th>\n",
              "      <th>FDA</th>\n",
              "      <th>FDA_STD</th>\n",
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              "      <th>Set</th>\n",
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              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0.166200</td>\n",
              "      <td>0.976471</td>\n",
              "      <td>1509</td>\n",
              "      <td>332.053514</td>\n",
              "      <td>classOne</td>\n",
              "      <td>0.053521</td>\n",
              "      <td>0.082080</td>\n",
              "      <td>67.018535</td>\n",
              "      <td>0.837883</td>\n",
              "      <td>0.450442</td>\n",
              "      <td>0.165506</td>\n",
              "      <td>0.533431</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0.098199</td>\n",
              "      <td>0.989966</td>\n",
              "      <td>1339</td>\n",
              "      <td>265.142266</td>\n",
              "      <td>classOne</td>\n",
              "      <td>0.052430</td>\n",
              "      <td>0.084231</td>\n",
              "      <td>63.075490</td>\n",
              "      <td>0.841040</td>\n",
              "      <td>0.420273</td>\n",
              "      <td>0.147372</td>\n",
              "      <td>0.457116</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>0.054095</td>\n",
              "      <td>0.996549</td>\n",
              "      <td>1679</td>\n",
              "      <td>293.976355</td>\n",
              "      <td>classOne</td>\n",
              "      <td>0.046736</td>\n",
              "      <td>0.077678</td>\n",
              "      <td>60.396876</td>\n",
              "      <td>0.820264</td>\n",
              "      <td>0.417944</td>\n",
              "      <td>0.142840</td>\n",
              "      <td>0.505789</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>0.024822</td>\n",
              "      <td>0.998801</td>\n",
              "      <td>1902</td>\n",
              "      <td>289.341544</td>\n",
              "      <td>classOne</td>\n",
              "      <td>0.063880</td>\n",
              "      <td>0.079486</td>\n",
              "      <td>41.377170</td>\n",
              "      <td>0.751794</td>\n",
              "      <td>0.400578</td>\n",
              "      <td>0.134042</td>\n",
              "      <td>0.478189</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0.129463</td>\n",
              "      <td>0.985666</td>\n",
              "      <td>1132</td>\n",
              "      <td>314.832926</td>\n",
              "      <td>classOne</td>\n",
              "      <td>0.079128</td>\n",
              "      <td>0.107797</td>\n",
              "      <td>49.720384</td>\n",
              "      <td>0.800174</td>\n",
              "      <td>0.436506</td>\n",
              "      <td>0.175556</td>\n",
              "      <td>0.459725</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
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              "    .colab-df-convert:hover {\n",
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              "\n",
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              "      background-color: #434B5C;\n",
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              "          document.querySelector('#df-f801b82b-d9ed-4ba1-98f9-64cf8df183e7 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-f801b82b-d9ed-4ba1-98f9-64cf8df183e7');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
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          "metadata": {},
          "execution_count": 114
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    {
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      "execution_count": 115,
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              "   Contrast  Black Patch  Biffercation         CID     Class  OCL_STD2  \\\n",
              "0  0.166200     0.976471          1509  332.053514  classOne  0.053521   \n",
              "1  0.098199     0.989966          1339  265.142266  classOne  0.052430   \n",
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              "4  0.129463     0.985666          1132  314.832926  classOne  0.079128   \n",
              "\n",
              "   FDA_STD2      SIGMA       OCL       FDA   FDA_STD       RVU  Set  \n",
              "0  0.082080  67.018535  0.837883  0.450442  0.165506  0.533431    0  \n",
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              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
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      "outputs": []
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              "   Contrast  Black Patch  Biffercation         CID     Class  OCL_STD2  \\\n",
              "0  0.166200     0.976471          1509  332.053514  classOne  0.053521   \n",
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              "   FDA_STD2      SIGMA       OCL       FDA   FDA_STD       RVU  Set  \n",
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              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-bec65bcf-89e2-435b-baed-63ca7c71fa5d button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-bec65bcf-89e2-435b-baed-63ca7c71fa5d');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 116
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        " "
      ],
      "metadata": {
        "id": "EvDkvERh6TXG"
      },
      "execution_count": 116,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "features"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "DwP5o5fzHZLY",
        "outputId": "d84a8092-e7d4-4c4f-a898-2fad8cc47d99"
      },
      "execution_count": 117,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['Contrast',\n",
              " 'Black Patch',\n",
              " 'Biffercation',\n",
              " 'CID',\n",
              " 'OCL_STD2',\n",
              " 'FDA_STD2',\n",
              " 'SIGMA',\n",
              " 'OCL',\n",
              " 'FDA',\n",
              " 'FDA_STD',\n",
              " 'RVU']"
            ]
          },
          "metadata": {},
          "execution_count": 117
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "4C9Uh5I267G_"
      },
      "execution_count": 117,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "COsmiHxmHlgh"
      },
      "execution_count": 117,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "preds = clf.predict_proba(X_test)\n",
        "test_auc = roc_auc_score(y_score=preds[:,1], y_true=y_test)\n",
        "\n",
        "\n",
        "preds_valid = clf.predict_proba(X_valid)\n",
        "valid_auc = roc_auc_score(y_score=preds_valid[:,1], y_true=y_valid)\n",
        "\n",
        "print(f\"BEST VALID SCORE : {clf.best_cost}\")\n",
        "print(f\"FINAL TEST SCORE : {test_auc}\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "K8urOmcs7E-4",
        "outputId": "478ef2dc-7f6c-471d-926e-d4360decd78b"
      },
      "execution_count": 118,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "BEST VALID SCORE : 0.9689567010676632\n",
            "FINAL TEST SCORE : 0.9206360854376777\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "PJnFRUU87UUS"
      },
      "execution_count": 118,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "clf.predict(X_test)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "feh79dwu7b43",
        "outputId": "84e5fc59-2b45-4f3b-bd45-4f01ec01af93"
      },
      "execution_count": 119,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array(['classOne', 'classOne', 'classOne', ..., 'classZero', 'classOne',\n",
              "       'classZero'], dtype='<U9')"
            ]
          },
          "metadata": {},
          "execution_count": 119
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "saving_path_name = \"./tabnet_model_test_1\"\n",
        "saved_filepath = clf.save_model(saving_path_name)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "KaWI68kP7eqL",
        "outputId": "fef4e921-7094-4065-d531-bd41e8821a24"
      },
      "execution_count": 120,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Successfully saved model at ./tabnet_model_test_1.zip\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "loaded_clf = TabNetClassifier()\n",
        "loaded_clf.load_model(saved_filepath)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Pt6UA5nW7ujf",
        "outputId": "3672e602-538c-4bad-aa62-2314cd4c6075"
      },
      "execution_count": 121,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/pytorch_tabnet/abstract_model.py:75: UserWarning: Device used : cpu\n",
            "  warnings.warn(f\"Device used : {self.device}\")\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "loaded_preds = loaded_clf.predict_proba(X_test)\n",
        "loaded_test_auc = roc_auc_score(y_score=loaded_preds[:,1], y_true=y_test)\n",
        "\n",
        "print(f\"FINAL TEST SCORE  : {loaded_test_auc}\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "C6OfxSxy7wsG",
        "outputId": "61991f2d-0766-4c5d-ad07-79c9b857f90a"
      },
      "execution_count": 122,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "FINAL TEST SCORE  : 0.9206360854376777\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "assert(test_auc == loaded_test_auc)"
      ],
      "metadata": {
        "id": "8zAKtR0y70PG"
      },
      "execution_count": 123,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "loaded_clf.predict(X_test)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "YCyXvKdb72Y5",
        "outputId": "33ecd0e6-db35-4277-c21d-c3684c22bc8a"
      },
      "execution_count": 124,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array(['classOne', 'classOne', 'classOne', ..., 'classZero', 'classOne',\n",
              "       'classZero'], dtype='<U9')"
            ]
          },
          "metadata": {},
          "execution_count": 124
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "clf.feature_importances_"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "HzyI7uxK74dK",
        "outputId": "744256fb-57c1-49c0-ab6f-1dd358fe3b36"
      },
      "execution_count": 125,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([0.08946655, 0.06212875, 0.15094861, 0.15524492, 0.06489847,\n",
              "       0.01968365, 0.22688474, 0.02037617, 0.0928673 , 0.03564212,\n",
              "       0.08185873])"
            ]
          },
          "metadata": {},
          "execution_count": 125
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "explain_matrix, masks = clf.explain(X_test)"
      ],
      "metadata": {
        "id": "dCXNPfsO7638"
      },
      "execution_count": 126,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "fig, axs = plt.subplots(1, 3, figsize=(20,20))\n",
        "\n",
        "for i in range(3):\n",
        "    axs[i].imshow(masks[i][:50])\n",
        "    axs[i].set_title(f\"mask {i}\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "pBNO1IGq79Sj",
        "outputId": "e617f070-a731-488a-82b2-5c6a2eab5823"
      },
      "execution_count": 127,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1440x1440 with 3 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "vKlWwxTl7_s_"
      },
      "execution_count": 127,
      "outputs": []
    }
  ]
}