DA_Lab_6_Spam_Classification.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": [
        "import nltk\n",
        "nltk.download('punkt')\n",
        "nltk.download('stopwords')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "TYz4FvgG5xax",
        "outputId": "b9b10076-34ba-47f3-e43c-bbccc63e3f5d"
      },
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "[nltk_data] Downloading package punkt to /root/nltk_data...\n",
            "[nltk_data]   Package punkt is already up-to-date!\n",
            "[nltk_data] Downloading package stopwords to /root/nltk_data...\n",
            "[nltk_data]   Unzipping corpora/stopwords.zip.\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "True"
            ]
          },
          "metadata": {},
          "execution_count": 26
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import re\n",
        "import string\n",
        "from wordcloud import WordCloud\n",
        "from collections import Counter\n",
        "\n",
        "from nltk import sent_tokenize, word_tokenize\n",
        "from nltk.corpus import stopwords\n",
        "from nltk.stem import PorterStemmer"
      ],
      "metadata": {
        "id": "jGHyi7-M3pBt"
      },
      "execution_count": 22,
      "outputs": []
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 571
        },
        "id": "aQZqzkuFqSTP",
        "outputId": "f4af9cee-a2d8-45d5-f523-6421bbb03e7f"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 5572 entries, 0 to 5571\n",
            "Data columns (total 2 columns):\n",
            " #   Column    Non-Null Count  Dtype \n",
            "---  ------    --------------  ----- \n",
            " 0   Category  5572 non-null   object\n",
            " 1   Message   5572 non-null   object\n",
            "dtypes: object(2)\n",
            "memory usage: 87.2+ KB\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 4540x1362 with 2 Axes>"
            ],
            "image/png": "iVBORw0KGgoAAAANSUhEUgAADQYAAARmCAYAAADX44kGAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAi6QAAIukBN3mucAAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAgAElEQVR4nOzda7huZ13f++9YOXJI0kgCkQABRTlpEMQWEkCq7Clsi5xsd73QotiAdYtAYQgUTctBRKdVuMRDrWBky26xSlC2SAeWqgkgYABBQVSUjRsURAvIqSCM/WI+6ZqsrMNcWYcxnzU/n+u6rznmGPf4P7/kRdaL9fxyD/M8BwAAAAAAAAAAAAAAAKyXfUsHAAAAAAAAAAAAAAAAAI6eYhAAAAAAAAAAAAAAAACsIcUgAAAAAAAAAAAAAAAAWEOKQQAAAAAAAAAAAAAAALCGFIMAAAAAAAAAAAAAAABgDSkGAQAAAAAAAAAAAAAAwBpSDAIAAAAAAAAAAAAAAIA1pBgEAAAAAAAAAAAAAAAAa0gxCAAAAAAAAAAAAAAAANaQYhAAAAAAAAAAAAAAAACsIcUgAAAAAAAAAAAAAAAAWEOKQQAAAAAAAAAAAAAAALCGFIMAAAAAAAAAAAAAAABgDSkGAQAAAAAAAAAAAAAAwBpSDAIAAAAAAAAAAAAAAIA1pBgEAAAAAAAAAAAAAAAAa0gxCAAAAAAAAAAAAAAAANaQYhAAAAAAAAAAAAAAAACsIcUgAAAAAAAAAAAAAAAAWEOKQQAAAAAAAAAAAAAAALCGTl86AAAAAAAAAFxvGIZ3VLerPlG9Z+E4AAAAAAAAx8OXVjer3jfP81cez8HDPM/Hcx4AAAAAAADcaMMwfLQ6d+kcAAAAAAAAJ8DH5nk+73gOdGIQAAAAAAAAu8knqnPPPffcLr300qWzAAAAAAAAHLO3v/3tfexjH6utvwc5rhSDAAAAAAAA2E3eU33xpZde2jXXXLN0FgAAAAAAgGN2v/vdr2uvvba2/h7kuNp3vAcCAAAAAACso2EYrhqGYT6K9aM7nHuXYRj+/TAMfzAMw0eGYfj4MAzvHobhZ4Zh+JobkfO2wzA8axiGtwzD8DfDMHxyGIb3DMPwfw3D8PU3Yt4thmF46jAMvzsMw4eGYfj0MAzvHYbh5cMwPOJo5wEAAAAAAHDyODEIAAAAAADgBBmGYayeU515wKMvX60rhmH4ser75nmedzDvW6ufqs454NGXrNa3DsPwi9UV8zx/egfzNqqXVLc64NElq/XwYRj+a/WoeZ7/5kjzAAAAAAAAOLkUgwAAAAAAAG7oZ6r3HGHPmw/3cBiGJ1U/su3Wm6rXVp+tLq++rtpXPWX188lHmPfI6hdWe6veVf169fHqntU3VqdV31qdPQzDPztc2WgYhsuqX63OXt16X3V19TfVXauHV2dV31D92jAMX7+TshEAAAAAAAAnj2IQAAAAAADADb1snuffurEvD8Nw52pz263/c57nnzpgz8OqX6rOqP71MAyvPNRnDsNwi+pF7S8F/Uj1tO3Fn2EYLm+rKHRe9c3Vo6urDjHvzOoX218Kemn1HfM8f/aAf4apum11WfW06t8d/p8cAAAAAACAk2nfkbcAAAAAAABwlJ7V1uk9VS86sBRUNc/zK6pnb7v1Q4eZ99S2Cj9V/22e56ceeBrQPM+vqx6/7dazh2E41P8k7l9Wd1hdv7N6zPZS0GreH1WP2nbryauCEgAAAAAAALuEYhAAAAAAAMBxNAzDOdU3rX6dq+ceZvsLqo+vru89DMMdDzJv6AsLOs85zLyXVu9dXd+mesAh9n3btuvNeZ4/c7BN8zxfU/3O6tebVw8/zGcDAAAAAABwkikGAQAAAAAAHF8Pqs5aXb91nuc/O9TGeZ4/Vr1m262HHmTbvapbr64/XP32YeZ9vrr6cPOGYbhl9Y9Wvx64/2B+5Qj5AAAAAAAAWIhiEAAAAAAAwA39wDAMfzwMwyeHYfjEMAzvHYbh5cMwfOcwDGcd4d17bLt+3Q4+a/ueexzk+fZ7b5jneT7GeV9VDavrP5zn+aPHOA8AAAAAAICFKAYBAAAAAADc0NdVX1bdpLppdUn18OrnqvcMw/CPD/PuXbdd/+kOPmv7nrse5PlumnfxMAzn7eAdAAAAAAAAToLTlw4AAAAAAACwy7y3en1bhZhPVRdU96kuWz2/uHrNMAyPmOf51w7y/kXbrt+/g8/bvueigzw/lnnnD8Nw5jzPn7mx8+Z5/ugwDJ+obra6davqSKcM3cAwDI+pvmMHWy892tkAAAAAAAB7lWIQAAAAAADAlldVL5zn+fcO9nAYhntWL63uXJ1WvXQYhjvP83xguebm264/sYPP/eS263MO8vxY5l0/82+OYd71M68vBh0s407crrrvjXwXAAAAAACAg1AMAgAAAAAAqOZ5/qUjPH/LMAwPqH6vuk1bBZunV99zwNabbLv+TEf26UO8ezzmHWzm0c47cObBMu7E+6prd7Dv0urcG/kZAAAAAAAAe4piEAAAAAAAwA7N8/zBYRiurF68uvWIblgM+tS26zN3MPbsQ7x7POYdbObRzjtw5sEyHtE8zy9u/7+3QxqG4ZqcLAQAAAAAALAj+5YOAAAAAAAAsGaurj6/uv7iYRguOeD5x7dd32wH82667frvDvL8WOYdbObRzjtw5sEyAgAAAAAAsADFIAAAAAAAgKMwz/NHqr/dduuWB2z5q23XF+9g5PY9HzzI82OZ95F5nj9zLPOGYTivLywQHSwjAAAAAAAAC1AMAgAAAAAAOHrzYZ69a9v1l+5g1vY979zl8z4wz/NHd/AOAAAAAAAAJ4FiEAAAAAAAwFFYnaBzi223PnTAlrduu758ByPve4h3D3bvPsdh3tvaX2z6imEYzj3GeQAAAAAAACxEMQgAAAAAAODoPKz9f8fywep9Bzx/dfWZ1fU9hmG4w6EGDcNwTvXAbbd+9SDb3lz95er6wmEYvvYw8/at8h1y3jzPH6zetPp1X/XwQ81becQR8gEAAAAAALAQxSAAAAAAAIAdGobhgupZ225dPc/zvH3PPM8fq165+nVf9fTDjPze6pzV9Rvnef6TAzes5v/f2279m8PM+5bq+iLS+6v/foh9v7jtehyG4cyDbRqG4fLq+iLSJ6qrD/PZAAAAAAAAnGSKQQAAAAAAwJ43DMMzh2F41jAMtz3Mnq+qfru63erWJ6vnHmL7D1SfW11fMQzDdx1k3kOrK7fdOlzh53nVx1bXG8MwPHcYhuGAefepXrjt1pXzPP/9Ieb9x+q9q+u7VT83DMMZB8y7U19YSPqxeZ4/fJiMAAAAAAAAnGSnLx0AAAAAAABgFzivekL1/cMwvK16S1sn7nyqukV17+ry6voyzueqR83z/BcHGzbP87uGYXhatbm69dPDMDy6eu3q3ftUD9z2ygvmeX7tocLN8/zhYRiuqP7zKsPTq28ahuHX2yoo3aP6J9Vpq1eurq46zLz/OQzDv6heU51VfVt1/2EYXl79bXXX6hGrZ1W/W/3QoeYBAAAAAACwDMUgAAAAAACA/Ya2Sjb3OMye91aPnuf5dw43aJ7nHx2G4bTq2dUZbZWL7n3gtur51VOOFGye518ahuHs6ierm7d10s/dDrL1P1XfOc/z548w75phGB5W/UJ1y+qS6kkH2fqb1bfM8/ypI2UEAAAAAADg5FIMAgAAAAAAqOdUv9XWST5fU926uqCtk4Q+Xv1V9ebqldXV8zz//U6GzvP8w8MwvLK6otqoblvtqz6w+ryfm+f5TTsNOc/zS4Zh+K3qsW2dEHRJdXb1l9UbqqvmeX7NUcx79TAMd1vle1j1JdU51Yeq66pfrF4+z/O805kAAAAAAACcPIpBAAAAAADAnjfP84erV6zW8Z79zg5+Es+Nnfe+6vtX63jM+3D1Q6sFAAAAAADAGtm3dAAAAAAAAAAAAAAAAADg6CkGAQAAAAAAAAAAAAAAwBpSDAIAAAAAAAAAAAAAAIA1pBgEAAAAAAAAAAAAAAAAa0gxCAAAAAAAAAAAAAAAANaQYhAAAAAAAAAAAAAAAACsIcUgAAAAAAAAAAAAAAAAWEOKQQAAAAAAAAAAAAAAALCGFIMAAAAAAAAAAAAAAABgDSkGAQAAAAAAAAAAAAAAwBpSDAIAAAAAAAAAAAAAAIA1pBgEAAAAAAAAAAAAAAAAa0gxCAAAAAAAAAAAAAAAANaQYhAAAAAAAAAAAAAAAACsIcUgAAAAAAAAAAAAAAAAWEOKQQAAAAAAAAAAAAAAALCGFIMAAAAAAAAAAAAAAABgDSkGAQAAAAAAAAAAAAAAwBpSDAIAAAAAAAAAAAAAAIA1pBgEAAAAAAAAAAAAAAAAa0gxCAAAAAAAAAAAAAAAANaQYhAAAAAAAAAAAAAAAACsodOXDgAAAAAAAAAcP/d73LOXjgAAwEl0zX/4gaUjAAAAsCAnBgEAAAAAAAAAAAAAAMAaUgwCAAAAAAAAAAAAAACANaQYBAAAAAAAAAAAAAAAAGtIMQgAAAAAAAAAAAAAAADWkGIQAAAAAAAAAAAAAAAArCHFIAAAAAAAAAAAAAAAAFhDikEAAAAAAAAAAAAAAACwhhSDAAAAAAAAAAAAAAAAYA0pBgEAAAAAAAAAAAAAAMAaUgwCAAAAAAAAAAAAAACANaQYBAAAAAAAAAAAAAAAAGtIMQgAAAAAAAAAAAAAAADWkGIQAAAAAAAAAAAAAAAArCHFIAAAAAAAAAAAAAAAAFhDikEAAAAAAAAAAAAAAACwhhSDAAAAAAAAAAAAAAAAYA0pBgEAAAAAAAAAAAAAAMAaUgwCAAAAAAAAAAAAAACANaQYBAAAAAAAAAAAAAAAAGtIMQgAAAAAAAAAAAAAAADWkGIQAAAAAAAAAAAAAAAArCHFIAAAAAAAAAAAAAAAAFhDikEAAAAAAAAAAAAAAACwhhSDAAAAAAAAAAAAAAAAYA0pBgEAAAAAAAAAAAAAAMAaUgwCAAAAAAAAAAAAAACANaQYBAAAAAAAAAAAAAAAAGtIMQgAAAAAAAAAAAAAAADWkGIQAAAAAAAAAAAAAAAArCHFIAAAAAAAAAAAAAAAAFhDikEAAAAAAAAAAAAAAACwhhSDAAAAAAAAAAAAAAAAYA0pBgEAAAAAAAAAAAAAAMAaUgwCAAAAAAAAAAAAAACANaQYBAAAAAAAAAAAAAAAAGtIMQgAAAAAAAAAAAAAAADWkGIQAAAAAAAAAAAAAAAArCHFIAAAAAAAAAAAAAAAAFhDikEAAAAAAAAAAAAAAACwhhSDAAAAAAAAAAAAAAAAYA0pBgEAAAAAAAAAAAAAAMAaUgwCAAAAAAAAAAAAAACANaQYBAAAAAAAAAAAAAAAAGtIMQgAAAAAAAAAAAAAAADWkGIQAAAAAAAAAAAAAAAArCHFIAAAAAAAAAAAAAAAAFhDikEAAAAAAAAAAAAAAACwhhSDAAAAAAAAAAAAAAAAYA0pBgEAAAAAAAAAAAAAAMAaUgwCAAAAAAAAAAAAAACANaQYBAAAAAAAAAAAAAAAAGtIMQgAAAAAAAAAAAAAAADWkGIQAAAAAAAAAAAAAAAArCHFIAAAAAAAAAAAAAAAAFhDikEAAAAAAAAAAAAAAACwhhSDAAAAAAAAAAAAAAAAYA0pBgEAAAAAAAAAAAAAAMAaUgwCAAAAAAAAAAAAAACANXT60gEAANbJOHVudX71D1brJtWZq3XGtutD3TvYnqH67BHWZ3bw/GPVR7atj25u9PkT9K8CAAAAAAAAAAAAgIUpBgEAe844dfPqouqL2ir3nN/+ss/5h7h3fnVeddoCkW+seZz6u76wLPS/SkOHuP+h6v2bG/2PRRIDAAAAAAAAAAAAsGOKQQDAKWWcuqC6uLrNtp+3OeDeeYsFPLmG6tzVut3RvDhOfap6/7b1gQN+f3/1gc2NPns8AwMAAAAAAAAAAACwc4pBAMDaWJ3082XVHTp48efi6uzFAp5ablLdcbUOZR6n/robFob+v+o91Z9ubvSBEx0UAAAAAAAAAAAAYK9SDAIAdpVx6rTq9tWdqi9f/bz++uLlknEQQ3XL1brHwTaMU59oVRI6YL1baQgAAAAAAAAAAADg2CgGAQCLGKcu6IblnztVX1qduWA0jq+bVZeu1hcYp/6uenf1RwesP9nc6DMnMyQAAAAAAAAAAADAOlIMAgBOqHHqvOqrVuvu1Z3bKgB90ZK52BXOqe61Wtt9bpz6s+od1Vuqt1Zv3dzoL09yPgAAAAAAAAAAAIBdTTEIADhuxqlL2l8Cun7dfslMrKXTqi9brUdcf3Oc+qtWJaFt6882N5qXCAkAAAAAAAAAAACwNMUgAOBGGadu1/7TXu5VfXVOAeLEuqh68Gpd76Pj1Nv6wrLQuzY3+vsF8gEAAAAAAAAAAACcVIpBAMARjVO3qC6r/mH7S0AXLhoKtpxXfe1qXe/T49Q72ioJvbG6ZnOjP1kiHAAAAAAAAAAAAMCJpBgEANzAOHXb6n7V/Vc/71INi4aCnTu7+prVemzVOPXB6trqmtXPt21u9LnFEgIAAAAAAAAAAAAcB4pBAEDj1J3aXwK6f3XJsonguLtV9cjVqvq7ceoN7S8LvXFzo08tFQ4AAAAAAAAAAADgxlAMAoA9Zpw6rbp7+0tA961uuWgoOPnOqTZWq+qz49R17T9R6NrNjf52qXAAAAAAAAAAAAAAO6EYBACnuHHq9OofVV/bVhnosurcRUPB7nNGde/VGqt5nHpXW0Wh11bT5kYfWTAfAAAAAAAAAAAAwA0oBgHAKWicurh6UPXg6oHVecsmgrUzVHddrcdVnxun3li9uvqN6rrNjeYF8wEAAAAAAAAAAAAoBgHAqWCcOqO6vP1loEuXTQSnnNPaOm3rsupZ1V+PU1NbRaH/urnRXy8ZDgAAAAAAAAAAANibFIMAYE2NU7dpqwT04Orrq3OXTQR7yoXVo1br8+PUW9p/mtAbNzf63JLhAAAAAAAAAAAAgL1BMQgA1sTqVKD7tr8M9BXLJgJW9lX3Wq3vr/7HOPWbbZWEXr250V8uGQ4AAAAAAAAAAAA4dSkGAcAuNk5dUD2s+sa2TgU6Z9lEwA6cX/3T1Wqc+v3qFdUvb270B0sGAwAAAAAAAAAAAE4tikEAsMuMUxdWj2irVPCA6rRFAwHH6u6r9W/HqT+qfqWtktDblo0FAAAAAAAAAAAArDvFIADYBcapW7a/DPS1KQPBqerO1TOqZ4xTf9pWSei/bG503bKxAAAAAAAAAAAAgHWkGAQACxmnblU9sq0y0P2rfcsmAk6yO1ZPrZ46Tv15+08SeuOysQAAAAAAAAAAAIB1oRgEACfROHVR+8tA90sZCNhyh+op1VPGqfdVL69+uXr95kbzoskAAAAAAAAAAACAXUsxCABOsHHqi9tfBrpvykDA4d2ueuJqvX+cenn1ss2NXrdsLAAAAAAAAAAAAGC3UQwCgBNgnLpJW2Wg76gekDIQcONcXD2+evw49afVL1S/sLnRXywbCwAAAAAAAAAAANgNFIMA4Dgap+7dVhno/6jOWzgOcGq5Y/Xs6pnj1Gurq6qXb270qUVTAQAAAAAAAAAAAItRDAKAYzROfXH1bdW3V3dZNg2wB+yrHrhaHxunXlZdtbnR65eNBQAAAAAAAAAAAJxsikEAcCOMU2dWD2nrdKAHVactmwjYo86trqiuGKf+uK1ThF6yudH7F00FAAAAAAAAAAAAnBSKQQBwFMapu7dVBnpUdcHCcQC2+/LqudVzxqnXtFUSesXmRp9eNBUAAAAAAAAAAABwwigGAcARjFNf1FYR6DuqeywcB+BI9lXfsFofGadeVr14c6M3LRsLAAAAAAAAAAAAON4UgwDgEMapy6vHVw+vzlw4DsCN8Q+qx1WPG6feUv1E9Z82N/qfy8YCAAAAAAAAAAAAjgfFIADYZpw6q/qWtgpB91w4DsDxdM/q56vNceo/Vj+9udFfLJwJAAAAAAAAAAAAOAaKQQBQjVMXV/+qemx14cJxAE6kC6qnV983Tr2i+onNjX574UwAAAAAAAAAAADAjaAYBMCeNk5dXn1v9Yj8uQjsLadVj6weOU69vXph9dLNjT65bCwAAAAAAAAAAABgp3wBGoA9Z5w6q/qW6vHVPReOA7AbXFr9bPXD49SLq5/c3OjPF84EAAAAAAAAAAAAHIFiEAB7xjh16+q7q8dWFy4cB2A3Or96cvWkcerXq5/Y3Og1C2cCAAAAAAAAAAAADkExCIBT3jh1eVunAz0yf/YB7MS+6iHVQ8apP6peWP385kafXDYWAAAAAAAAAAAAsJ0vRwNwShqnhuph1dOrr1k4DsA6u3NbxaB/O069oHrh5kYfXTgTAAAAAAAAAAAAkGIQAKeYceq06p+3VQi628JxAE4lF1bPqb5vnPqp6sc3N/rQwpkAAAAAAAAAAABgT1MMAuCUME6dWT26emr1pQvHATiVnVs9rXrCOPWianNzo/ctnAkAAAAAAAAAAAD2JMUgANbaOHXT6orqKdVtFo4DsJfcpPqe6nHj1Eur521u9O6FMwEAAAAAAAAAAMCeohgEwFoap85t6wvpT6wuXDgOwF52RvXt1b8Yp15ePXdzo7cuGwkAAAAAAAAAAAD2BsUgANbKOHVBW2Wg76nOWzgOAPvtq765+uZx6tXVD25udO3CmQAAAAAAAAAAAOCUphgEwFoYp25dPaV6bHWzheMAcHgPqh40Tl3bVkHo1UsHAgAAAAAAAAAAgFORYhAAu9o4dUn19Orbq7OWTQPAUbpv9Rvj1HXVlZsbvWrpQAAAAAAAAAAAAHAqUQwCYFcapy6snlH9q+rMheMAcGy+uvr1cep11b/Z3Oh3lg4EAAAAAAAAAAAApwLFIAB2lXHq5tWTV+ucheMAcHxdXv32ODVVz9jc6PeWDgQAAAAAAAAAAADrTDEIgF1hnDqz+q7q+6sLF44DwIm1UW2MU1dXP7C50R8uHQgAAAAAAAAAAADWkWIQAIsap/ZVj6qeWd1h4TgAnFwPrx46Tr20rYLQ/7t0IAAAAAAAAAAAAFgn+5YOAMDeNU59Y/XW6iUpBQHsVfuqb6vePU79+Dh1i6UDAQAAAAAAAAAAwLpwYhAAJ904dVn1vOp+S2cBYNc4q3pi9Zhx6oer529u9MmFMwEAAAAAAAAAAMCu5sQgAE6acepu49SvVa9LKQiAgzu3+sHqT8apx45Tpy0dCAAAAAAAAAAAAHYrxSAATrhx6nbj1FXV26uHLBwHgPVw6+o/VH84Tv2TpcMAAAAAAAAAAADAbnT60gEAOHWNUzernl49uTp74TgArKc7Va8cp36jeuLmRn+8dCAAAAAAAAAAAADYLZwYBMAJMU49qnp39YyUggA4dg+u/mCc2hynzlk6DAAAAAAAAAAAAOwGTgwC4Lgap+5VvaC6bOksAJxyzqieUn3rOPW06iWbG80LZwIAAAAAAAAAAIDFODEIgONinLrVOPXi6k0pBQFwYl1UXVW9flVIBQAAAAAAAAAAgD3JiUEAHJNx6vTqCdWV1bkLxwFgb7l39aZx6uerp29u9KGlAwEAAAAAAAAAAMDJ5MQgAG60ceofV79f/WhKQQAsY6geU/3xOPWkVWEVAAAAAAAAAAAA9gTFIACO2jh18Tj1n6vXVnddOg8AVOdVP1a9fZx64NJhAAAAAAAAAAAA4GTwf9MGYMfGqTOqJ1ZXVjdfOA4AHMxdqteMU6+o/vXmRn++dCAAAAAAAAAAAAA4UZwYBMCOjFNfV/1+9SMpBQGw+z2seuc4deWq2AoAAAAAAAAAAACnHMUgAA5rnDp/nPr56r+1dQoDAKyLs6tnVm8Zp/7h0mEAAAAAAAAAAADgeFMMAuCQxqlHVu+svn3hKABwLL6iesM49ePj1M2WDgMAAAAAAAAAAADHi2IQADcwTl00Tv1K9cvVRUvnAYDjYF/1xOoPxqn/bekwAAAAAAAAAAAAcDwoBgHwBcapx7R1StAjls4CACfA7atpnLpqnPqipcMAAAAAAAAAAADAsVAMAqCqcer249RUvag6f+k8AHCCPbp65zj1z5YOAgAAAAAAAAAAADfW6UsHAGBZ49S+6vHVD1Y3WzgOAJxMt6peNk49qvruzY3ev3QgAAAAAAAAAAAAOBpODALYw8apu1TXVs9PKQiAveubqj8cpx43Tg1LhwEAAAAAAAAAAICdUgwC2IPGqTPGqSurt1X3WToPAOwC51U/U/3WOPVlS4cBAAAAAAAAAACAnVAMAthjxql7VddVz6zOXDgOAOw296/ePk49bZw6bekwAAAAAAAAAAAAcDiKQQB7xOqUoOdVv1t95dJ5AGAXO7v6oep3xqkvWToMAAAAAAAAAAAAHIpiEMAeME7dqa1C0FPL6QcAsEOXVW8bpx69dBAAAAAAAAAAAAA4GMUggFPcOPVd1Vuqey6dBQDW0DnVVePUL41T5y8dBgAAAAAAAAAAALZTDAI4RY1TF4xTv1r9dHXTpfMAwJr7p9U7xqmvXzoIAAAAAAAAAAAAXE8xCOAUNE59Q/WO6puWzgIAp5CLq9eMUz86Tp25dBgAAAAAAAAAAABQDAI4hYxTZ41Tz69+o7po6TwAcAoaqidXbxqn7rp0GAAAAAAAAAAAAPY2xSCAU8Q49RXVm6sntPWlZQDgxLl7dd049b3j5M9dAAAAAAAAAAAAlqEYBLDmxqlhnHpCW6Wgr1w6DwDsIWdXL6heNU5O6gMAAAAAAAAAAODkUwwCWGOrLyG/qnp+W19OBgBOvgdV7xinHrp0EAAAAAAAAAAAAPYWxSCANTVOPaR6e1tfRgYAlnVB9Ypx6mfHqZsuHQYAAAAAAAAAAIC9QTEIYM2MU2eNUz9Z/Vp14dJ5AIAvcEX1pnHqTksHAQAAAAAAAAAA4NSnGASwRsapS6prq+9eOgsAcEh3q948Tn3z0kEAAAAAAAAAAAA4tSkGAayJceobquuqey2dBQA4onOq/zJO/dg4dfrSYQAAAAAAAAAAADg1KQYB7HLj1DBOXVm9qrrF0nkAgKPypOq/j1O3XjoIAAAAAAAAAC9gLs0AACAASURBVAAApx7FIIBdbJw6v/p/qmfmv9kAsK7uW71lnHrA0kEAAAAAAAAAAAA4tfiSOcAuNU7do7qu+t+XzgIAHLNbVb85Tj11nBqWDgMAAAAAAAAAAMCpQTEIYBcapx5Tvb66w9JZAIDj5rTqedXV49R5S4cBAAAAAAAAAABg/SkGAewi49TZ49TPVS+qzl46DwBwQjy0+r1x6u5LBwEAAAAAAAAAAGC9KQYB7BLj1O2ra6vvXDgKAHDi3bF6wzj16KWDAAAAAAAAAAAAsL4UgwB2gXHqwdV11VcvnQUAOGluUl01Tv3sOHXW0mEAAAAAAAAAAABYP4pB/P/s3Xm0ZHlZoOt3VxU1AAXFLAoUaAkNyCRNFaMgYCjz1IoooAgCDdIgEDsUlFEmA8F5aCZRBhEREGwlQBpEhCpXO7RXba+2U7e22ugFBUSmuH9kskjKrKrIzBO5z/A8a+Vinzj7+50314Ik69T5YgMTmq86Zb7qWdUvV1edOAcAmMa3V++fr7ru1CEAAAAAAAAAAADsLRaDACYyX3V29UvVM6th4hwAYFq3ri6arzp/6hAAAAAAAAAAAAD2DotBABOYr7pe9f7qXlO3AAC7xhdV752vevDUIQAAAAAAAAAAAOwNFoMATrL5qguqi6qbTd0CAOw6Z1avn6965tQhAAAAAAAAAAAA7H4WgwBOovmqb6jeU11r4hQAYPcaqmfNV712vurMqWMAAAAAAAAAAADYvSwGAZwk81XfW/1c+QFfAGAj31S9e77qmlOHAAAAAAAAAAAAsDtZDALYsvmqM+arfrZ6ToeeAAAAsKnbVRfNV33F1CEAAAAAAAAAAADsPhaDALZovurq1buqh07dAgDsWedWvzlfdc+pQwAA4CAbhuHuwzCsj/x1DLM3HobhB4Zh+H+GYfjwMAwfHYbhj4dh+MlhGG5zHC3XHYbhOcMw/PYwDP8wDMPHh2H4n8Mw/OwwDHc7jvOuNgzDYhiGDw7D8PfDMHxiGIa/GIbhF4dheOCxngcAAAAAAMDJYzEIYEvmq25cXVjdceoWAGDPO7v6pfmqJ00dAgAAB9EwDFesXnacs/Pqd6snVzetrlxdobph9Zjqg8MwLIdh2Ohp48MwPLT6g+p7q1tVV63Oqr60Q29Q9K7DC0Jnbnje7PB5L6wuqK5RndGhNyl4QPWmYRh+dRiGq232OwYAAAAAAOBkOm3qAID9aL7q7tUvdOhf8gMA7IRTq5fOV/276juWsz49dRAAABwgL6yuX32yOn3ToWEYvrP6/iNeuqh6d/Wp6g7VXTv0Jm5PPfyfT7mM8x5UvbrPv/HbH1W/XH20+srqXh36Z4eHVmcOw/AN6/X6Ep9sNAzD7au3Vp9bIvqr6s3VP1Q36dBi0BnV11a/NAzD3dbr9Sc2+b0DAAAAAABwcnhiEMAOm696TPUrWQoCALbjMdWvzledM3UIAAAcBMMw3Kl63OEPX3AMc/+uWh7x0uPX6/UF6/X6u9fr9TPW6/XdOrR486nDn3/yMAx3uZTzrla9os//u53vr266Xq/n6/X62ev1+n7VnauPHP78f6i+5VLOO716TZ9fCnptdd56vX7Ser1+7nq9fkh1y+p/Hf787avv2uT3DgAAAAAAwMljMQhgh8xXnTJf9dLqJ/NENgBgu+5WfXC+6rypQwAAYD8bhuGsDi3jDNW7qp8+hvHndOjpPVWvWK/XP37xG9br9Vuq5x7x0qUtHi36/JsR/dp6vV5c/GlA6/X6/dUTjnjpucMwXNL3Kh9V3eDw9R9W37Zerz915A3r9fp/VN98xEtPObygBAAAAAAAwC5hMQhgB8xXnVW9pXrS1C0AwIFxo+r981W3mjoEAAD2sedWX179S/XYTYeGYTi7uu/hD9fV8y/l9h+qPnr4+rbDMPybNwAYhmHoCxd0vu9Szntt9ReHr69T3eUS7nvYEdfL9Xr9yaPdtF6v31f9+uEPr9ihpxwBAAAAAACwS1gMAjhB81XnVO+s7jN1CwBw4Fyzes98dYk/6AcAABynYRjO7/NvBPTM9Xr9P49h/OuqMw5f/856vf6zS7pxvV7/U4e+v/g59zvKbf+++uLD1x+q3nsp5322evOlnTcMwzWrCw5/ePH7j+ZNl9EHAAAAAADARCwGAZyA+aov6tC7Zd5h6hYA4MC6UvWr85V37QYAgJ0yDMPp1auqU6vfqV56jEcc+WTP929w/5H3HO2poEe+9oH1er0+wfNuWQ2Hr/9gvV5/5ATPAwAAAAAAYCIWgwCO03zVl3boX4jfbOoWAODAO6N643zVo6YOAQCAfeIZ1U2qz1SPWq/Xnz7G+Zsccf2nG9x/5D03Ocrnd9N5XzIMw5U3mAEAAAAAAOAkOG3qAIC9aL7q5tU7qi+augUA4LBTq5fNV119OeuFU8cAAMBeNQzDLavF4Q9ful6vf/s4jjny+4Z/vcH9R95ztO85nsh5VxmG4fT1ev3J4z1vvV5/ZBiGj1VXOPzStarLesrQvzEMw7dVj9jg1psf69kAAAAAAAAHlcUggGM0X3XH6m3VOVO3AAAcxQvmq65RPXU5az11DAAA7CXDMJxWvapD//7kz6pnHudRVzzi+mMb3P/xI67P3uHzPnfmP5zAeZ8783OLQUdr3MT1qjse5ywAAAAAAABHYTEI4BjMV92z+oXqrKlbAAAuxZOrq89XPXI569NTxwAAwB7yXdUtD18/Zr1eX3zBZlNHfv/wk5d41+d94hJmd+K8o515rOdd/Mzj/f7oX1W/scF9N6+udJxfAwAAAAAA4ECxGASwofmqb65+On92AgB7w8Orq85XfcNy1r9MHQMAALvdMAw3qb738IevXq/X7zqB4478O/jpG9x/5iXM7sR5RzvzWM+7+JnH9c8Y6/X6ldUrL+u+YRjelycLAQAAAAAAbOSUqQMA9oL5qidUP5ulIABgb7l3tZqvOmfqEAAA2M2GYTilQwsrp1f/t3rKCR750SOur7DB/Zc/4vqfd/i8o515rOdd/MyjNQIAAAAAADABi0EAl2G+6jnVD1fD1C0AAMfhjtV756uuPXUIAADsYo+oLjh8/cT1ev0PJ3je3x5x/SUb3H/kPX+3w+d9eL1ef/JEzhuG4cp94QLR0RoBAAAAAACYgMUggEswX3XKfNWPVd87dQsAwAm6efX++aovmzoEAAB2qesecf26YRjWR/tV/fmRQxf7/F2O+NQfHXG9yd/Dj7znD4/y+d103t+s1+uPbDADAAAAAADASWAxCOAo5qsuV722etzULQAAO+QGHVoOuvnUIQAAcAD8zhHXd9jg/jtewuzRXrvdDpz3u9X68PVXDMNwpRM8DwAAAAAAgImcNnUAwG4zX3VG9YvVPaduAQDYYdeq3j1fddflrP8+dQwAAOwiv1u9eoP7rlg96IiPj5z52yOuf7X6ZHV6dathGG6wXq+/4GlDnzMMw9nV3Y946a1Hue23qv9TXbu6xjAMd16v1++9hPNOqe5/aeet1+u/G4bhouqCDr2J3AO69N//Ay+jDwAAAAAAgIlYDAI4wuGloDdX95i6BQBgS66W5SAAAPgC6/X6LdVbLuu+YRiu3xGLQev1+lsv4bx/GobhbYfvPaX67urRl3Dsf6rOPnx94Xq9/pOjnLcehuF11VMOv/S06qiLQdVDOvTE0Kq/rv7rJdz3mg4tBlXNh2F4/Xq9/uTFbxqG4Q7VnQ9/+LEOff8UAAAAAACAXeKUqQMAdosjnhRkKQgA2O8+txx086lDAABgH/ve6jOHr799GIbHXvyGYRjuVz3jiJeedinnvbD6p8PXs2EYnj8Mw3Cx825X/egRLz1jvV5/+hLOe1n1F4evb1q9fBiGy13svBtVrzvipZes1+sPXUojAAAAAAAAJ5nFIIBqvur06k3VPaduAQA4ST63HHSLqUMAAGA/Wq/Xf1R91xEv/cQwDB8YhuF5wzA8ZxiGd3boKUWnH/78D63X63dfynkfqr69Wh9+6bur3x+G4UXDMDxzGIa3VO+rzjn8+TdXP30p5/1r9fDqXw+/9LDqT4ZheMkwDN9z+AlFv1dd7/DnP1i9YJPfOwAAAAAAACfPaVMHAEzt8FLQL1b3mroFAOAku1r1a/NVd1vO+r2pYwAAYL9Zr9cvHobh1Oq51eWq2x7+9QW3VT9YPXWD835+GIYzqx+rrtihJ/3c9Ci3vr565Hq9/uxlnPe+YRjuX726umZ1bvWdR7n1XdVD1uv1v1xWIwAAAAAAACeXJwYBB9oRTwqyFAQAHFSfWw7y5CAAANiC9Xr9ouqWHVr++cPqn6uPVX9Svay67Xq9fvJlLfEccd7PdGgZ6HkdeqLPh6tPVH9eva6ardfrb9p0iWe9Xv/q4fOeVl1UfahDTxH6Xx16otF/OHzmhzb6DQMAAAAAAHBSeWIQcGAdXgr6hereU7cAAEzMk4MAAGAD6/X6L6rhOOb+sKM/ied4O/6q+p7Dv3bivA9VLzj8CwAAAAAAgD3EE4OAA2m+6nLVG6v7TN0CALBLfG456JZThwAAAAAAAAAAALAZi0HAgXPEUtB9p24BANhlrla9y3IQAAAAAAAAAADA3mAxCDhQDi8F/Xx1v6lbAAB2KctBAAAAAAAAAAAAe4TFIODAOLwU9Ibq/lO3AADscpaDAAAAAAAAAAAA9gCLQcCBMF91WvVz1QOmbgEA2COuVv2a5SAAAAAAAAAAAIDdy2IQsO/NV53aoaWgB07dAgCwx1y1eud81b+bOgQAAAAAAAAAAIB/y2IQcBC8vHrQ1BEAAHvU1Tu0HHTu1CEAAAAAAAAAAAB8IYtBwL42X/X91bdO3QEAsMddp0PLQdeaOgQAAAAAAAAAAIDPsxgE7FvzVfNqPnUHAMA+8eXVO+arrjx1CAAAAAAAAAAAAIdYDAL2pfmqb61eNHUHAMA+c4vql+erLj91CAAAAAAAAAAAABaDgH1ovuo+1cuqYeoWAIB96A7Vm+arLjd1CAAAAAAAAAAAwEFnMQjYV+ar7li9oTpt6hYAgH3s66qfna8sYgMAAAAAAAAAAEzJYhCwb8xX3ax6W3XW1C0AAAfAg6sfmjoCAAAAAAAAAADgILMYBOwL81XXr95RnTNxCgDAQfKE+aqnTR0BAAAAAAAAAABwUFkMAva8+aprVqvq2lO3AAAcQM+br3rk1BEAAAAAAAAAAAAHkcUgYE+brzq7+pXqy6duAQA4wH5qvuo+U0cAAAAAAAAAAAAcNBaDgD1rvuqM6q3VV07dAgBwwJ1avWG+6g5ThwAAAAAAAAAAABwkFoOAPWm+6pTqtdVXT90CAEBVZ1Vvm6+66dQhAAAAAAAAAAAAB4XFIGCv+rHqQVNHAADwBa5S/fJ81TWnDgEAAAAAAAAAADgILAYBO2sxXrPFeNo2v8R81bx67Da/BgAAx+3c6i3zVWdOHQIAAAAAAAAAALDfWQwCds5ivEK1qn6lxXjONr7EfNUDqhdu42wAAHbM7apXTh0BAAAAAAAAAACw31kMAnbGYhyqn6luUd29+mCL8byd/BLzVbeuXpM/uwAA9oKHzFc9c+oIAAAAAAAAAACA/cwP1wM75VnVA4/4+EbVhS3Gu+zE4fNV16neVl1+J84DAOCkeNZ81TdOHQEAAAAAAAAAALBfWQwCTtxi/Prqe4/ymatWqxbjo07k+PmqK1Zvr659IucAADCJV81XXTB1BAAAAAAAAAAAwH5kMQg4MYvxVtVPV8Ml3HG56mUtxpe0GI/5z5z5qlOq11e3OO5GAACmdGb11vmq600dAgAAAAAAAAAAsN9YDAKO32K8VvXW6vIb3P2d1S+1GM8+xq/yZdVtjzUNAIBd5VrV2+erjvXvggAAAAAAAAAAAFwKi0HA8VmMp1dvrq57DFP3qt7fYjx304HlrD+pLqj+8NgCAQDYZW5Wvf7wEyEBAAAAAAAAAADYAX4gCzheP1Xd7jjmblZd1GK8/aYDy1l/Vt2+esdxfD0AAHaPe1U/MHUEAAAAAAAAAADAfmExCDh2i/Fx1beewAnXrN7dYnzopgPLWR/p0A+S/sgJfF0AAKb3pPmqx0wdAQAAAAAAAAAAsB9YDAKOzWL8yuolO3DSGdXPthif12IcNhlYzvrMctZ/qh5XfXoHGgAAmMaPzlfdbeoIAAAAAAAAAACAvc5iELC5xXjl6o0dWurZKU+r3thivPymA8tZP1Hdo/rwDnYAAHDynFb9wnzVjaYOAQAAAAAAAAAA2MssBgHH4hXVl27h3AdVv95i/JJNB5az3lXdtvrTLfQAALB951Rvm6+68tQhAAAAAAAAAAAAe5XFIGAzi/EJHVrg2ZZbVxe1GG+96cBy1h9XF1Tv2VYUAABb9eXVT08dAQAAAAAAAAAAsFdZDAIu22K8TfXik/CVvrhDTw7aeAFpOesfq1n18q1VAQCwTfefrxqnjgAAAAAAAAAAANiLLAYBl24xnlP9fHX6SfqKl6/e2GL8nk0HlrM+tZz17dVTqs9urQwAgG15/nzVnaeOAAAAAAAAAAAA2GssBgGX5VXV9U/y1xyq57YYX9NiPGPToeWsl1T3q/55a2UAAGzDqdUb5quuPXUIAAAAAAAAAADAXmIxCLhki/FJ1f0nLPjm6j0txmttOrCc9fbqDtVfbq0KAIBtuFaHloNOmzoEAAAAAAAAAABgr7AYBBzdYryg+v6pM6rbVhe1GG+26cBy1u9X51e/ubUqAAC24U7Vi6aOAAAAAAAAAAAA2CssBgH/1mK8SvWG6nJTpxx2veo3W4z33nRgOevvq7tWr9laFQAA2/Dk+aoHTR0BAAAAAAAAAACwF1gMAo7m1dW5U0dczBWrt7YYn7LpwHLWvy5nPax6erXeWhkAADvtVfNVN5w6AgAAAAAAAAAAYLezGAR8oUOLN/eZOuMSnFK9uMX48hbjxk8zWs56fvX11ce3VgYAwE46u/rF+aorTB0CAAAAAAAAAACwm1kMAj5vMd6ueuHUGRt4ZLVqMV5104HlrDdVX1X9zdaqAADYSTet/vPUEQAAAAAAAAAAALuZxSDgkENLNm+oTps6ZUN3qS5sMd5o04HlrP9W3ab6b9uKAgBgR33TfNXjp44AAAAAAAAAAADYrSwGAbUYh+pnqutOnXKMzqs+2GL8mk0HlrP+pkNPDnrT1qoAANhJL5mvumDqCAAAAAAAAAAAgN3IYhBQNa/uNXXEcTqn+i8txsdtOrCc9fHq66vnba0KAICdcnr1xvmqq08dAgAAAAAAAAAAsNtYDIKDbjFe0N5fkDmt+rEW44+2GE/dZGA5a72c9T3VQ6t/3WodAAAn6rrVq6eOAAAAAAAAAAAA2G0sBsFBthjP6tAPWJ42dcoOeXyHnh505U0HlrNeW3119fdbqwIAYCfcc75q46dEAgAAAAAAAAAAHAQWg+Bge151o6kjdtis+kCL8cs2HVjO+kB1fvX7W6sCAGAnvHi+6sZTRwAAAAAAAAAAAOwWFoPgoFqMd6yeOHXGlty4urDF+FWbDixn/WV1++rtW6sCAOBEnVW9dr7q9KlDAAAAAAAAAAAAdgOLQXAQLcbLV69qf/8ZcLXqnS3GR2w6sJz10ep+1Q9srQoAgBN1q+q5U0cAAAAAAAAAAADsBvt5KQC4ZC+qzps64iQ4vXpli3HZYtzoz7vlrM8uZz21elT1qa3WAQBwvJ46X3WXqSMAAAAAAAAAAACmZjEIDprF+NXV46fOOMmeWr25xXjFTQeWs15Rzap/3FoVAADH65TqZ+arzpk6BAAAAAAAAAAAYEoWg+AgObQY88pqmDplAvetfqPFeL1NB5az3lNdUP3xtqIAADhu161+cuoIAAAAAAAAAACAKVkMgoPlxdX1p46Y0C2qi1qMF2w6sJz1p9Vtq3durQoAgOP14Pmqh00dAQAAAAAAAAAAMBWLQXBQLMavqR4zdcYucK3qPS3Gh2w6sJz14eqe1Y9vrQoAgOP1o/NVN5g6AgAAAAAAAAAAYAoWg+AgWIxXql4xdcYucmb1uhbjs1uMwyYDy1mfXs56fPWE6jNbrQMA4FhcqXrNfNWpU4cAAAAAAAAAAACcbBaD4GB4aXXdqSN2oWdUP9diPGvTgeWsH63uVX1ka1UAAByr21dPmzoCAAAAAAAAAADgZLMYBPvdYrxn9W1TZ+xi31C9t8V47U0HlrPeUd2u+rOtVQEAcKyeMV91wdQRAAAAAAAAAAAAJ5PFINjPFuM51cumztgDblP9VovxVpsOLGf9UXVB9b6tVQEAcCxOq14zX3XFqUMAAAAAAAAAAABOFotBsL/9cPXFU0fsEV9S/UaL8QGbDixnfai6e/WqrVUBAHAszqtePHUEAAAAAAAAAADAyWIxCParxXi/6mFTZ+wxl6/e1GL87k0HlrM+uZz1bdVYfXZrZQAAbOrR81V3mToCAAAAAAAAAADgZLAYBPvRYrxa9VNTZ+xRQ/X8FuOrW4ynbzq0nLWsHlB9dGtlAABsYqheNl911tQhAAAAAAAAAAAA22YxCPanH6uuNXXEHvfw6t0txmtsOrCc9UvVHau/2loVAACbOK961tQRAAAAAAAAAAAA22YxCPabxXi/6sFTZ+wTd6gubDHedNOB5azfq86vLtxaFQAAm3jKfNVXTh0BAAAAAAAAAACwTRaDYD9ZjGdVPzR1xj5zg+o3W4z32HRgOevvqrtUr99WFAAAl+nU6hXzVadNHQIAAAAAAAAAALAtFoNgf3l6de7UEfvQlaq3tRiftOnActYnlrO+qXpmtd5aGQAAl+aW1XzqCAAAAAAAAAAAgG2xGAT7xWI8r3rq1Bn72KnVS1uMP9Vi3Phd55eznlN9Y/UvWysDAODSPGO+6oZTRwAAAAAAAAAAAGyDxSDYP36kOmPqiAPg0dU7WoxX2XRgOevnqztX/2drVQAAXJIzq5fPVw1ThwAAAAAAAAAAAOw0i0GwHyzGB1RfN3XGAXLX6sIW48bvPL+c9VvV+dXvbK0KAIBLcqfqsVNHAAAAAAAAAAAA7DSLQbDXLcazqpdOnXEAfXn1wRbj3TYdWM763x36odQ3b60KAIBL8qL5qutMHQEAAAAAAAAAALCTLAbB3vf06typIw6oq1S/2mJ8zKYDy1kfqx5UvXBrVQAAHM3Z1U9MHQEAAAAAAAAAALCTLAbBXrYYz6ueOnXGAXda9ZMtxh9sMZ66ycBy1no567urb6k+udU6AACOdO/5qodMHQEAAAAAAAAAALBTLAbB3vYj1RlTR1DVE6u3tRivtOnActbPVHet/u/WqgAAuLgfmq+62tQRAAAAAAAAAAAAO8FiEOxVi/H+1ddNncEXuEf1my3GG2w6sJz1/uqC6g+2VgUAwJGuUf3g1BEAAAAAAAAAAAA7wWIQ7EWL8az8MONuddPqwhbjHTcdWM768+r21a9srQoAgCM9dL7qrlNHAAAAAAAAAAAAnCiLQbA3Pa06d+oILtE1ql9rMT5804HlrH+q7pOFLwCAk+WH5qtOmzoCAAAAAAAAAADgRFgMgr1mMZ5XzafO4DKdXr26xfiCFuOwycBy1meWs76zekz16a3WAQDwFdXjpo4AAAAAAAAAAAA4ERaDYO/54eqMqSPY2HdVb2oxXmHTgeWs/1x9bfX/ba0KAICqZ89XXX3qCAAAAAAAAAAAgONlMQj2ksV4/+oeU2dwzB5Qva/FeJ1NB5az3l3dtvqTrVUBAHBO9fypIwAAAAAAAAAAAI6XxSDYKxbjWdUPTp3BcbtVdVGL8TabDixn/b/VBdW7t1YFAMAj56tuPXUEAAAAAAAAAADA8bAYBHvH06pzp47ghFy7em+L8cGbDixn/X/V11b/eWtVAAAH2ynVD89XDVOHAAAAAAAAAAAAHCuLQbAXLMYvq+ZTZ7Ajzqpe32J85qYDy1mfXs56TPWd1We2VgYAcHDdvnro1BEAAAAAAAAAAADHymIQ7A0vrM6YOoIdM1TPajG+vsV45qZDy1k/WN23+qetlQEAHFwvmq+64tQRAAAAAAAAAAAAx8JiEOx2i/HfVw+aOoOt+MbqPS3GL9p0YDnrv3ToHe3/fGtVAAAH07Wr7506AgAAAAAAAAAA4FhYDILd7wUdesIM+9MF1UUtxltsOrCc9QeH535ja1UAAAfTk+arbjh1BAAAAAAAAAAAwKYsBsFuthjvWt196gy27rrVb7QY77vpwHLW/63uVv3M1qoAAA6e06sfnDoCAAAAAAAAAABgUxaDYHd7wdQBnDRXrN7cYhw3HVjO+uRy1rdU312tt1YGAHCw3GO+6t5TRwAAAAAAAAAAAGzCYhDsVovxgdX5U2dwUp1SvajF+MoW4+mbDi1nvbB6UPWxrZUBABwsL52v2vjvYwAAAAAAAAAAAFOxGAS70WI8tfq+qTOYzCOqd7YYr7bpwHLWm6s7Vf97a1UAAAfHedWTp44AAAAAAAAAAAC4LBaDYHd6eHXjqSOY1FdVF7UYN/7vwXLW73ToKVO/tbUqAICD4+nzVdeYOgIAAAAAAAAAAODSWAyC3WYxnlE9a+oMdoUvrT7QYvzaTQeWs/5Pdefq57dWBQBwMFyxevrUEQAAAAAAAAAAAJfGYhDsPo+rrjd1BLvGlatfbjE+YdOB5ax/qb6xes7WqgAADobHzledO3UEAAAAAAAAAADAJbEYBLvJYjy7etrUGew6p1Y/3GL88RbjaZsMLGetl7OeWX1T9Ymt1gEA7F9nVM+eOgIAAAAAAAAAAOCSWAyC3eUp1dWnjmDX+o/Vr7QYz9l0YDnr9dVXV3+3tSoAgP3tYfNVN506AgAAAAAAAAAA4GgsBsFusRivUT156gx2vbtXH2wxnrfpwHLWB6vzq9/bWhUAwP51SvW8qSMAAAAAAAAAAACOxmIQ7B5Pr86eOoI94UbVhS3Gu2w6sJz1V9Udq1/aVhQAwD52v/mqp/emTgAAIABJREFU204dAQAAAAAAAAAAcHEWg2A3WIzXqx47dQZ7ylWrVYvxUZsOLGd9tHpAtdxaFQDA/vXCqQMAAAAAAAAAAAAuzmIQ7A7Prs6YOoI953LVy1qMP9Bi3OjP8+Wszy5njdW3VZ/cah0AwP5y5/mqr5s6AgAAAAAAAAAA4EgWg2Bqi/Em1cOmzmBPe3L11hbj2ZsOLGe9qvqa6h+2VgUAsP88f75qmDoCAAAAAAAAAADgcywGwfS+rzp16gj2vHtX728xnrvpwHLWr1fnV3+0tSoAgP3lVtWDp44AAAAAAAAAAAD4HItBMKXFeH71gKkz2DduVl3UYrzdpgPLWX9W3a56x9aqAAD2l+fOV502dQQAAAAAAAAAAEBZDIKpPXPqAPada1b/tcX40E0HlrM+Ut2r+tGtVQEA7B/nVY+aOgIAAAAAAAAAAKAsBsF0FuPNqntOncG+dEb1sy3G57UYh00GlrM+s5z1hOrx1ae3WgcAsPc9Y77qrKkjAAAAAAAAAAAALAbBdMapA9j3nla9scV4+U0HlrN+vEMLax/eWhUAwN537eqJU0cAAAAAAAAAAABYDIIpLMZzq2+cOoMD4UHVr7cYv2TTgeWsd1a3q/50a1UAAHvfYr7qylNHAAAAAAAAAAAAB5vFIJjGk6vTpo7gwLh1dVGL8dabDixn/Y/qguq9W6sCANjbzqm+Y+oIAAAAAAAAAADgYLMYBCfbYrxq9cipMzhwvrhDTw560KYDy1n/WH1N9YqtVQEA7G1PnK+6/NQRAAAAAAAAAADAwWUxCE6+76iuMHUEB9Llqze2GJ++6cBy1qeWsx5VPaX67NbKAAD2pmtU3z51BAAAAAAAAAAAcHBZDIKTaTFevnrC1BkcaEP1fS3G17QYz9h0aDnrJdX9qn/eWhkAwN701Pmq06eOAAAAAAAAAAAADiaLQXByfVt19akjoPrm6r+2GK+56cBy1turO1R/ubUqAIC95zrVw6eOAAAAAAAAAAAADiaLQXCyLMbTqqdMnQFHuF11UYvxZpsOLGf9fnV+9YGtVQEA7D2L+apTp44AAAAAAAAAAAAOHotBcPJ8Q3X9qSPgYs6t3t9ivPemA8tZf199dfXarVUBAOwt51VfP3UEAAAAAAAAAABw8FgMgpNnnDoALsHZ1VtbjBs/0Wo561+Xsx5afU+13loZAMDe8bT5qmHqCAAAAAAAAAAA4GCxGAQnw2L8uuoWU2fApTilenGL8eUtxsttOrSc9bwOPQ3r41srAwDYG25WbfwURgAAAAAAAAAAgJ1gMQhOjsXUAbChR1arFuNVNx1YzvqF6quqv9laFQDA3vC0qQMAAAAAAAAAAICDxWIQbNtiPL+6y9QZcAzuUl3YYrzRpgPLWf+tOr/67W1FAQDsAbedr7rr1BEAAAAAAAAAAMDBYTEIts/TgtiLzqs+2GL8mk0HlrP+urpT9aatVQEA7H6eGgQAAAAAAAAAAJw0FoNgmxbjDav7T50Bx+mc6r+0GB+36cBy1serr6+et7UqAIDd7W7zVedPHQEAAAAAAAAAABwMFoNgu+b53xl722nVj7UYf6TFeOomA8tZ6+Ws76keWv3rVusAAHanp08dAAAAAAAAAAAAHAwWFmBbFuMXVQ+bOgN2yHdUv9xivPKmA8tZr62+uvr7rVUBAOxO95mv+oqpIwAAAAAAAAAAgP3PYhBszxOrM6aOgB30tdUHWoxfuunActYHqvOr399aFQDA7jNU49QRAAAAAAAAAADA/mcxCLZhMZ5ePXLqDNiCG1cXthjvtOnActZfVneo3r61KgCA3efB81VfNHUEAAAAAAAAAACwv1kMgu14YHWNqSNgS65evavF+K2bDixn/XN1v+ol24oCANhlTq8eN3UEAAAAAAAAAACwv1kMgu14zNQBsGWnV69qMX5/i3Gj/y9ZzvrsctZTqm+vPrXVOgCA3eEx81VnTB0BAAAAAAAAAADsXxaDYKctxhtVd5k6A06SefXmFuMVNx1Yznp5Nav+cWtVAAC7wzWrh0wdAQAAAAAAAAAA7F8Wg2DnPXrqADjJ7lv9RovxepsOLGe9p7qg+uNtRQEA7BJPnDoAAAAAAAAAAADYvywGwU5ajGdU3zJ1BkzgFtVFLcYLNh1YzvrT6rbVu7ZWBQAwvVvOV9156ggAAAAAAAAAAGB/shgEO+s/VFebOgImcq3qPS3Gh2w6sJz14eoe1U9srQoAYHpPmjoAAAAAAAAAAADYnywGwc56zNQBMLEzq9e1GJ/dYhw2GVjO+vRy1uOq/1R9Zqt1AADTuO981fWnjgAAAAAAAAAAAPYfi0GwUxbjTao7TZ0Bu8Qzqp9rMZ616cBy1o9U96o+srUqAIBpnFI9duoIAAAAAAAAAABg/7EYBDvn0VMHwC7zDdV7W4zX3nRgOesd1e2qP9taFQDANB45X3XG1BEAAAAAAAAAAMD+YjEIdsJiPLN6+NQZsAvdprqoxXirTQeWs/6ouqB639aqAABOvqtXD546AgAAAAAAAAAA2F8sBsHO+PrqKlNHwC51nep9LcYHbDqwnPWh6u7VT28rCgBgAo+fOgAAAAAAAAAAANhfLAbBznjM1AGwy12helOL8bs2HVjO+uRy1iOqsfrs1soAAE6e8+er/v3UEQAAAAAAAAAAwP5hMQhO1GK8aXWHqTNgDxiqF7QYX91iPH3ToeWsZfXA6mNbKwMAOHk8NQgAAAAAAAAAANgxFoPgxHlaEBybh1fvbjFeY9OB5ay3dmgB739trQoA4OT4xvmqq00dAQAAAAAAAAAA7A8Wg+BELMazqodNnQF70B2qCw8/cWsjy1m/V51fXbi1KgCA7TuzesTUEQAAAAAAAAAAwP5gMQhOzIOrc6aOgD3qBtVvthjvsenActbfVnepfm5bUQAAJ4HFIAAAAAAAAAAAYEdYDIIT85ipA2CPu1L1thbjkzYdWM76xHLWQ6pnVetthQEAbNFN5qvOnzoCAAAAAAAAAADY+06bOuBzhmE4t7pldY0OPYHlzOrj1Uerv67+svqf6/X6XyaLhCMtxptXt506A/aBU6uXthhvXD2+F33/pzcZWs569nzV/6heVZ21zUAAgC341uqiqSMAAAAAAAAAAIC9bdInBg3DcKthGH58GIa/r/6iekv1smpZPbf6geqnqrdXv1/98zAM/30YhlcOw/DNwzBcc6J0qHr01AGwzzy6ekeL8SqbDixnvaG6S/W324oCANiSh8xXnTF1BAAAAAAAAAAAsLdNshg0DMM1hmF4XfXb1X/s0FOCNnFqdbPqEdVrqr8dhuHu26mES7EYT6sePHUG7EN3rT7YYrzhpgPLWRdVt6l+d2tVAAA775zq/lNHAAAAAAAAAAAAe9tJXwwahuFG1e9VD9mJ46ozd+AcOFZ3q64+dQTsUzfs0HLQXTcdWM7639UdqzdvrQoAYOc9YuoAAAAAAAAAAADg/2fvvuPkLMv9j3+udEgnlECokYSEXkPofUBUqgpYEEGwHj2WnVFRDliQZPRY8dhQ4AdWioAoLJ2AgdCR3gmEQAgQQkhP7t8fMyybzezu7GZnny2f9+s1r8zzPPd13d8NkGiy19zdW6cOBkXEGOAmYMMmj5YCl1L6pqhdys+HAhsAE4EjgO8ANwDLOyuv1ILjsw4g9XAjgWsp5E+rtqCY423gWOCcmqWSJEnqWIfU1TMm6xCSJEmSJEmSJEmSJEmSuq9+nbzfT1h9KOgm4JSU0rMV1i8A5gCPAVcBRMRI4EjgNGCP2kWVmlHIDwCOzjqG1Av0A35NIb818FWmTF3RWkExRwK+UVfPY8BvgAE1zihJkrQm+gAnAj/IOogkSZIkSZIkSZIkSZKk7qnTTgyKiG2BDza5fRtwWDNDQRWllN5IKZ2fUtoT2Bl4tANjStU4DBiedQipF/kScCWF/LBqC4o5LgAOAubWLJUkSVLHOCnrAJIkSZIkSZIkSZIkSZK6r04bDGL1oSCAL6SUlra3YUrpvpTS02uQSWqP47MOIPVChwP/ppDfotqCYo7bgEnAwzVLJUmStObG19WzZ9YhJEmSJEmSJEmSJEmSJHVPnTkYtHuT65kppQc6cX9pzRXyawNHZB1D6qW2Ae6kkN+72oJijmeBPYF/1SyVJEnSmjsp6wCSJEmSJEmSJEmSJEmSuqd+nbjXhk2uZ3Xi3i2KiGHAHsA4YBgwH5gNzEgpvdCB+4wCJgJbAiOBwcBbwBvAzPJ+Cztqv2YyDKH0tY4HRgCLgReAf6eUXqyyx3qUBr3eAwwBXqeU/+aU0tu1yN2FvI/SPzdJ2VgPuIFC/lSmTL2wmoJijvl19XwA+BHwpZqmkyRJap/j6ur5UjHHoqyDSJIkSZIkSZIkSZIkSepeOnMwaK0m18M6Y9OIuBnYr9Gts1JKZ5afbQ2cCRwF9K9QniJiBjAlpXR5O/YeBBxKaZhkP0rDOC1ZHhF3AD8FLksprWzjfjfT/Nc6jtLX+kFgQIXyFBHXAl9LKT3cTP89gTOAg4G+FZYsjogLgdNTSnPbkr0bOT7rAJIYAFxAIT8R+CZTpqbWCoo5VgD/XVfPo8Av6Nzf/yRJklozDDgGuDjrIJIkSZIkSZIkSZIkSZK6lz6duNdrTa4nRsToTtx/FRHxOeA+4ENUHgoCCEon41wWEX+PiKFt6L89MAf4O3AqrQ8FQekb1fcG/gbcHRGbV7tfK1k+CfwH+AiVh4Kg9LUeVt732Cb1fSLih8BtlAadKg0FAQwCTgMeiIitOiJ7l1LIDwUOzzqGpAZfBy6lkK/6FK9ijl9T+rXujZqlkiRJap9PZh1AkiRJkiRJkiRJkiRJUvfTmYNBD1XY+38jIjoxAwAR8QXgXJofkqnkSODaiKj2pKNhQNWDRBXsBNwTERPWoAcRcSrwe2BglSWDgD+WTwei/M/nQuCrlIaHqrERcENEjGhj3K7uSEo/P5K6jqOBaRTyG1dbUMxxAzAZeLJmqSRJktrugLp6Ns06hCRJkiRJkiRJkiRJkqTupTMHg/5Z4d4JwDURsXMn5tgF+HGj63uATwMTgBHApkAOOA9Y3qR2D+DiNu6XKJ3W82PgREonEG0KjKQ0PLQxsC9QR+kEo8bWAS6NiKpPw2hiV0oDUO+4lNIJSVsAw8t7HwPc2qRuAPDbiOgLnA58tHx/EfBz4GBgk3L+LSn9/D3XpMcY4Jx25u6qjs86gKSKdgJmUMjvVm1BMccTlH49vrFmqSRJktqmD/CJrENIkiRJkiRJkiRJkiRJ6l46czDoKuCxCvdzlE7GeTAizomID0TE6BrmeD/Qr/z+28CklNJvUkqPp5TeTCm9kFK6LqX0KWASMKtpfUScWMU+bwLfA8amlLZPKX0lpfT/UkozynvMSym9lVKalVKallL6YUppZ+BjlAZw3rE18Nl2fq3vA/oDrwP7p5Q+mFK6JKX0XEppfnnvy1NK+wG/aVK7NXAG8D/l6/uBCSmlL6aUbkgpvVjO/3RK6TfAjsC9TXp8MiJGtTN711LIj6T076qkrmlD4BYK+Q9XW1DM8QZwKKv/+idJkpQVP4xAkiRJkiRJkiRJkiRJUpt02mBQSmkF8ElgcTNLtgMKwJXA7Ih4MSKuiIjTI2LfiBjYwZG+l1L6XkppZQuZ76N0Os5bTR79ICL6VShpXPuflNK3U0rPtSVUSuliSicpNfbF8uk97bEUyKWUbmll3RdZ/dSfMygNUT1NabBoZnPFKaU3KX26deOfzwHAcW0N3EUdQ2nISlLXtRbwZwr5M6otKOZYXszxaeDLwIqaJZMkSarO1nX1TMw6hCRJkiRJkiRJkiRJkqTuozNPDCKldAdwFKUTbFozBjiC0qk7twBvRMSfIuLQDojyMHBWNQtTSo8BZza5vRFwdAfkaG7PK4C7Gt3aBNipne2mpJTuqWLPJcDvm3l8annwp7UeDwG3Nrm9R+sRu4WeMuAk9XQBnEUh/0cK+UHVFhVz/ITS7znza5ZMkiSpOh/MOoAkSZIkSZIkSZIkSZKk7qNTB4MAUkrXAjsC/4+2nc6wFnA8cE1ETI+IyWsQY2pKaXkb1v8SmNfk3sfWYP9qTG9yvWc7eiwDft6G9ZVOFbo/pXRTG3o0XbtjG2q7pkJ+PeDArGNIapMTgJso5DeotqCY45+Ufq19rlahJEmSquBgkCRJkiRJkiRJkiRJkqSqdfpgEEBK6YWU0onAeEqn8TzWxhaTgWkR8fl2bL8EuLQtBSmlxRVq2nwSTkT0jYgJEfGhiPhCRHwjIr4fEec0fQG7NCnfuq37AfemlF5tw/rHK9y7po17Nu2xfhvru6IPAX2zDiGpzSYDMyjkd6i2oJjjYWAScHvNUkmSJLVs+7p6xmcdQpIkSZIkSZIkSZIkSVL30C/LzVNKzwBnAWdFxIbAPsDuwM6UTpoZ0UJ5P+AXEbEopfT7Nmz7n5TS2+2IewdwSqPr9SJii5TSs60VRkQO+ARwBDCkHXsDjGxHzQNtXP9mDXoMb2N9V3Rc1gEktdumwG0U8h9lytQrqyko5ni1rp6DgN8CH69pOkmSpMo+CJyddQhJkiRJkiRJkiRJkiRJXV8mJwZVklKanVL6a0rpqymlA1JKI4FtgM8Dt7RQ+n8RMbYNWz3UzoiV6jZuqSAiNo+Ia4FrgY/Q/qEgaN9g0OttWVw+GWmNegBNewxsY33XUsiPAfbOOoakNTIEuJxCPl9tQTHHkmKOE4FvAqlmySRJkir7YNYBJEmSJEmSJEmSJEmSJHUPXWYwqJKU0iMppV+mlPYHdgHurLBsAHB6G9q+0c44leqaHdaJiHHANCDXzv2aGtCOmiUdsO/SDujRnX2ILv7fiaSq9AGmUMj/nkK+6l9Pizl+QOkbcxfWLJkkSdLqdqqrpy0fgCFJkiRJkiRJkiRJkiSpl+o2Aw8ppXuBfYBrKjw+JiL6Vtnq7XZGqFQ3tNLCcpa/sfqJQvOBPwAnA3sBmwEjgEEppWj8As5qZ051rGOzDiCpQ30SuI5CflS1BcUcl1E6OWxWzVJJkiSt7kNZB5AkSZIkSZIkSZIkSZLU9XWbwSCAlNIySt/UvajJoxHA9lW2GdzO7SvVvdXM2k8AOzS5dzEwJqV0ckrpDymlf6eUZqaU3kwpVTrZp7051VEK+XWAPbKOIanD7QvMoJCfWG1BMcd9wG7A3TVLJUmStKoPZh1AkiRJkiRJkiRJkiRJUtfXrQaDAFJKLwPXV3i0UZUtRrZz60p1bzSz9sNNru8ATkwpLVjD/dS5DgOqPYlKUvcyFphOIX9otQXFHLMpDRX9rWapJEmS3rVrXT2bZx1CkiRJkiRJkiRJkiRJUtfW7QaDyh6vcG94lbXbtHPPbSvce7GZtfs2uT43pbSyjfu1N6c6zvuzDiCppoYDV1PIf6HagmKORcBxwHdrlkqSJOldnhokSZIkSZIkSZIkSZIkqUXddTAoKtx7rcra7SNicDv2nNzk+tWU0rNNF0XEcGCtJrcfbMtG5Xw7ty2eOlQh35fSiUGSera+wM8p5M+lkO9XTUExRyrmOAP4CLC4pukkSVJv52CQJEmSJEmSJEmSJEmSpBZ118Gg8RXuvVxl7UDgmLZsFhGVaqY3s7zS0NHStuwHnAQMaGONOtYewMisQ0jqNJ8D/kkhP6LagmKOPwEHAK/ULJUkSertJtXVs0nWISRJkiRJkiRJkiRJkiR1XZ02GBQRQzqoz/rAIU1uvw481IY2X4uIqk6GKPsMqw+JXNTM2konF02odqPyiUOFaterZt6XdQBJne4QYDqF/JbVFhRz3AFMoo0nw0mSJFUpgGOzDiFJkiRJkiRJkiRJkiSp6+rME4P+GhG/jYgt2tugPMzzW2BQk0dXpZRWtKHV9sC3qtxzPPCdJrdfAi6vtD6ltAR4usnt06rcqy9wHviJ0F2Ag0FS7zQBuJNCfv9qC4o5ZgJ7AVfVKpQkSerVPpR1AEmSJEmSJEmSJEmSJEldV2cOBg0APgU8ERGXRMQREdG/2uKI2Bz4B3BEk0dLgO+1I8//RMTXI6LZn4OI2AG4ARjW5NE3UkrLW+h9dZPr90bEt1sKExHrApfhp0Fnr5DfFNgu6xiSMrMOUE8h/6lqC4o5FgBHAcWapZIkSb3VHnX1jM46hCRJkiRJkiRJkiRJkqSuqTMHg97Rj9LwyxXA7PKQ0NciYv+I2Coi1o2IIRExOiJ2iYiTI+JS4DHg0Ar9vpVSeqoN+18NvDPU8wPgzoj4VESMj4jhETEmIg6OiN8AdwMbN6n/R0rpwlb2+F9gaZN734mIWyPi+IjYvPw1bhQR+0TEFOBJ3h16ehv4Yxu+JnUsTwuS1B/4LYX8jyjkq/q9sphjZTFHHjgFWFbTdJIkqTcJ4LCsQ0iSJEmSJEmSJEmSJEnqmvplvP8oSkNC7T0l51sppR+2seZu4FrgZ+XrXcuvatwBfLS1RSml5yOiDvhpk0f7lF8tWQF8DNixykzqeIdnHUBSl/EVYDyF/EeYMvWtagqKOX5fV89TlE6BG1XTdJIkqbc4DDg/6xCSJEmSJEmSJEmSJEmSup7OPDHoMuCRDur1KHBQSun77SlOKf0c+C/adqLDlcChKaX5Ve7xM+CbwMo27PE68P6U0t/bUKOOVMgPAA7IOoakLuX9wO0U8ptVW1DMcSuwO6XfryRJktbUIXX19M06hCRJkiRJkiRJkiRJkqSup9MGg1JKv0wpbQNsCXwB+BPwfBtavA78EfgAsH1K6cY1zPMLYBfgcmB5C0tnAMeklI6sdiio0R4/APYGrgFSC0vnAkVgq5TSNW3ZQx1ub2Bw1iEkdTnbATMo5PeotqCY42lgD6C+ZqkkSVJvsQ4wKesQkiRJkiRJkiRJkiRJkrqefp29YUrpaeDc8ouIGAGMA95D6ZudhpZzLQDmA68A/0kpvVCDLP8BjomI4cCe5RxDgbeAl4AZKaWZa7jHdOC9EbEupaGTTYDhwBJKX9tDwP0ppZVN6s4EzmzjXvuvSdZyj1jD+puBNeqRsVzWASR1WesDN1HIn8KUqRdXU1DM8WZdPYcDPwU+X9N0kiSpp3svMD3rEJIkSZIkSZIkSZIkSZK6lk4fDGoqpTQPuKv8yirDm8C/yq9a7TEX+Hut+qvDOBgkqSUDgYso5CcC32bK1JZOgwOgmGMF8IW6eh4FfkIX+L1XkiR1S4cBZ2QdQpIkSZIkSZIkSZIkSVLX0ifrAFKXUcivD+yYdQxJ3cLpwF8p5NeutqCY41zgcGBezVJJkqSebJe6etbNOoQkSZIkSZIkSZIkSZKkrsXBIOldhwCRdQhJ3cYHgVsp5DeqtqCY4zpgD+CpmqWSJEk9VR/g0KxDSJIkSZIkSZIkSZIkSepaHAyS3pXLOoCkbmcXYAaF/M7VFhRzPAbsDtxSs1SSJKmnOizrAJIkSZIkSZIkSZIkSZK6FgeDpHc5GCSpPcYA0yjkj622oJjjdUqnlJ1Xs1SSJKknOrSu3lNOJUmSaikiJkbEJyLiFxExLSKeiIg3ImJZRLwWEfdExLkRsWc7+v4oIh6KiHkRsSAiHo+IX0XEbu3IuUlEfCci7i3nWhgRT0fE/4uIg9rRb1REFCLijoiYExGLI+K5iLgsIo5paz9JkiRJkiRJkiR1HgeDJIBCfntgdNYxJHVbawN/o5A/vdqCYo5lxRyfAr4GrKxZMkmS1JOsR+nEQkmSJNXOdOB84PPA3sA4YATQD1gH2Bn4HHB7RFwREeu01jAi6oD7ga8A2wDDgcHAeODTwB0RUYyIqobAI+JjwMPAt4GdyrnWAsYCHwOuLw8IDaqyX67c7xxKJ12vBwwENgOOBi6NiGsiYlQ1/SRJkiRJkiRJktS5+mUdQOoiPC1I0poK4HsU8hOBU5gydUk1RcUcP6qr5wngj8CQWgaUJEk9wmHA3VmHkCRJ6gWeBe4DngHmAQnYANiLd4e1jwBuiojJKaVFlZpExJeBqY1uzQBuBJaVex1I6UPcvlb+8asthYqIY4ELePeD3x4FrgYWUBpaeh/Ql9KA0KCI+HBKKbXQb0/gCuCdIaKZwOXAa8DWlAaDBgKHAldGxEEppcUtZZQkSZIkSZIkSVLn8sQgqeSArANI6jE+CtxEIb9+tQXFHFdR+kaQmTVLJUmSeor3Zh1AkiSphzsV2DClNDaldGxKqS6l9P2U0tkppS+llHal9EFT88rrtwfylRpFxASg2OjW51NKu6eUvpFSOiOldBClwZtl5edfiYj9mwtWPrHnPN79u52pwDbljGellI4E9gPeLD//IPCJFvoNAC7i3aGgi4EtU0r/nVL6bkrpBGBH4IXy8z2BrzfXT5IkSZIkSZIkSdlwMEgq5APYI+sYknqUPYAZFPLbVVtQzPEgMAmYXrNUkiSpJ9i9rp6RWYeQJEnqqVJKf0spvdzKmuuAbza6dVwzS79D6fQegPNSSr+s0OvvwHcb3fpBC1sXgOHl9zeklApNTwNKKd0O/FejW9+NiH7N9PsUsEX5/SPAySmlZY0XpJQeo/RBOO/4anlASZIkSZIkSZIkSV1Ejx8MSintn1KKRq8zs86kLmci+I11kjrcZsDtFPLvr7agmOMVSieY/bFmqSRJUnfXFzgk6xCSJEnipkbvt2j6MCKGAkeULxNwdgu9fgosKL+fHBFbVugXrDqg870W+l0MPFd+vzGwfzPrPt7ofTGltLTSopTSNODW8uUQSqccSZIkSZIkSZIkqYvo8YNBUhX2yjqApB5rKHAFhfxXqi0o5lhSzPFR4NuUvmlEkiSpqcOyDiBJkiTWafR+YYXnhwEDy+/vSyk901yjlNJ84LpGt46ssGxXYKPy+7nALS30Wwlc3lK/iFgf2L182XR9JZe2kk+SJEmSJEmSJEkZcTBIgj2zDiCpR+sD/IhC/rcU8v2rLSrm+B5wHLCoZskkSVJ3dXBt6o5cAAAgAElEQVTWASRJknqziOgDfLXRrUpDOjs1en97FW0br9mpwvPG96anlFr7QJnW+u0IRPn9wymlN9ewnyRJkiRJkiRJkjLiYJDkiUGSOsengHoK+XVaXVlWzPE3YF/gpZqlkiRJ3dEmdfVslnUISZKk3iQi+kXE6Ig4CrgROKb8aDFwVoWSrRu9f6qKLRqv2brC867Ub0xEDK+iRpIkSZIkSZIkSZ3AwSD1boX8usC4rGNI6jX2B+6kkN+q2oJijruBScC9tQolSZK6pX2yDiBJktTTRcSfIyJFRAKWAbOBy4H9yktmAfunlB6oUD660ftZVWzXeM3oCs/XpN/IiBiwJv3KJwq93ejWBlVkWE1EnBwR01p7Adu3p78kSZIkSZIkSVJv5GCQers9sw4gqdfZEriDQv7gaguKOWZR+ubfS2uWSpIkdTcOBkmSJGVnBXA68J6U0p3NrBnS6P3bzaxpbGGj90M7uF+lnm3t17RnpYzV2BTYu4rXsHb2lyRJkiRJkiRJ6nUcDFJvt1fWAST1SiOAf1HIf7bagmKOhcCHgLNrlkqSJHUnDgZJkiTV3kVAXfn1LeBXwBNAX+D7QH1EbNlM7VqN3i+tYq/FzdR2RL9KPdvar2nPShmrMRO4rYrX/Hb2lyRJkiRJkiRJ6nX6ZR1AypgnBknKSj/glxTyWwP/zZSpK1orKOZIwOl19TwK/A4YWOOMkiSp65pYV8+6xRxzsw4iSZLUU6WU/gH8o+n9iDgOOA/YF5gREYenlO5osmxRo/cDqthuUDO1HdGvUs+29mvas1LGVqWUfg/8vrV1ETGN0slBkiRJkiRJkiRJaoUnBqn3KuQHALtmHUNSr/cF4GoK+eHVFhRzXAQcCMypWSpJktQdeAKqJElSBlJKfwFOLF+OBC6KiL5Nli1o9H5wFW3XbvT+rQrP16RfpZ5t7de0Z6WMkiRJkiRJkiRJyoCDQerNdmb1T02UpCwcCkynkB9bbUExx7+BScBDNUslSZK6un2yDiBJktRbpZQuAx4vX76H0oe4NPZyo/djqmjZeM0rFZ6vSb95KaWla9IvIoaz6gBRpYySJEmSJEmSJEnKQL+sA0gZ2jPrAOp5XnzrLZ6d9yYvvDWfuYsW8fayZQAMHziQkQMHsc26o9h63XXp16fj5jIfe+017nhpNq8sfJuBffsyZshQDth0E9Zdu+mHgrbdbS++yPXPPd9wfdoOO7DR0CFr3FcVTQTupJA/hilTp1VTUMzxfF09ewJ/At5X03SSJKkrcjBIkiQpWw8CW5Xfbw9c1+jZo8CR5ffvqaJX4zWPVHj+aDNrs+j3UkrpzSpqJEmSJEmSJEmS1AkcDFJvtlfWAVQ7S5Yv5z+vzuXul1/mnlde4Z6XX+ahuXNZtnLlKuue/fRpbD58eLv2WLhsGf985hmmz3qJO2fP5qG5c3lzyZJW6wb168fhY7fgk9tux/veM5aIaNf+1z/3HF+7+WYemPPqas/6RHD0uHEU99+PLUaMaFf/BUuX8pGr/sELb70FwIGbbsqZe/ufTY2tC1xPIf9ppkw9v5qCYo636uo5Avgh8OVahpMkSV3OznX1DC7meDvrIJIkSb1U479j6dvk2X2N3lfzh2p7N1Nb6d4eHdDvfiABAWwbEcNSSvPXoJ8kSZIkSZIkSZIy4mCQerNq/vJU3cifH32UG56f2ewQUEd78NVX+dAVV7a5bvHy5Vz2xJNc9sST7DVmDL8+NMc2667bph4/mnEXX7v55mafr0yJS594ghtnzuQfxx7DnmPGtDnn/9x2e8NQ0IC+ffnlIYe0uYfaZQDwBwr5rYGvM2Vqq/8iF3OsBL5SV8+jwLlA/xpnlCRJXUM/YDJwQ9ZBJEmSepsofdrPro1uzWqy5BpgKaU/69kpIrZIKT3bTK+hwMGNbl1RYdldwGxgQ2C9iNgvpXRLM/36AEe11C+l9EpEzAB2B/oARwMXVOpXdkwr+SRJkiRJkiRJkpSRPlkHkDJRyG9B6S9Q1YOcc+ed/O7BB7lvzpyaDwV1lNtnzWLy/7uIm2fOrLrmkscfX2UoqH+fPpy4zTb87KCD+P4++7DzBhs0PHtj8WLed8mlvDC/pQ/7XN2Dc+bws3vvbbguTJrEVqPWaVMPrbE64DIK+cHVFhRz/BY4FHi9ZqkkSVJXs3frSyRJklQDJwOblN+vBK5v/LB8+s5V5cs+wDda6PVFYGj5/Z0ppSebLkgpJeCPjW59s4V+JwBblN/PAm5qZt1Fjd7XRcSASosiYi9gv/Ll28DlLewtSZIkSZIkSZKkTuaJQeqt9so6gHqW4QMHssdGG7HXmDFMHLUO49dZh3XXWouhAwawZMUK5i5cxIOvvsqVTz3FJU88weLlyxtqFyxbxuGXXMoDJ53EuHVGtrjP20uX8pn66xquh/Tvzw3HH8ekDd+dc/v65N358o038rN7SoM985Ys4XPXXc9Vxx6zWr9KUkp8pv46lpeHq94zYgTf3GNy1T8X6lBHArdTyH+AKVNfqKagmOOmunomU/rGk61qmk6SJHUF+2QdQJIkqaeIiHOAucCFKaU5zazpD3wW+GGj2xemlF6psPzblE7u6QucGhH3ppR+1aTfkcAZjW61NPBzDnAqMAzIRcTZwOnloaF3+u0B/KJRzRkppeVU9lvgq8DmwDbA7yLilJTSskb9tmLVgaT/TSnNbSGjJEmSJEmSJEmSOpmDQeqt9sw6gGqvTwQT1lmHXUZvwC4bjOaul2dz8SOPdlj/4QMH8tXdduWILbdkrzFj6Nun8iFsQ4BRa63FVqPW4UMTtuKseXtx3JVXcffLLzesWbR8OZ+pr+eG449rcc8LH36Y1xYtarieuv9+qwwFQenr/vGBBzLthRe5b07p+xeufvppHnvtNSaMGtXq1/WbBx5g+ksvNVyfe8jBDOrnbxcZ2gGYQSF/FFOm3llNQTHHk+XhoL8BB9c0nSRJytrkunr6FXM0982ekiRJqt5ooACcExH3AA8As4GFlP6YbzxwILBuo5r7gK9UapZSejQivg4Uy7f+LyI+AdwIrAD2YNU/u/lpSunG5sKllOZGxKnAn4GgdArRERFxdTnjTsD7KQ0iQelkn/Nb6LckIk4ErgMGAh8H9o2IyyidSL01cEz5GcAdwA+a6ydJkiRJkiRJkqRs+J3e6q08MagHmrDOKHZYb/3yINAG7Lj++gweMKDh+Zm33d6h+00cNYofHnBAm+vGjhjBDcd9mO3/cD7Pz5/fcP/GmTN56o032HJk86cG/f3JpxreDxswgJO3267iuj4RfHm3XTnx6n8CkIArnnqq1cGgOW+/zTdundZw/eGttuLQLbao5stSbY0GbqaQ/yRTpv65moJijnl19bwX+BmlT7GVJEk902BgZ2BG1kEkSZJ6gJXlH/sCk8qv5iTgPOBrKaU3m12U0g8joi/wXaA/MLn8atrrJ8DXWguYUvprRAwCzqU0rLRN+dXUn4BTUkorKzxr3G9aRBwFXACsD2wGfLnC0uuBE1JKiyo8kyRJkiRJkiRJUoYcDFLvU8gPBbbNOoY63p+P+EDWEao2bOBAvrXHHpx67bWr3P/nM8/wxV12abbuztmzG97vvfHGDGzhJJ/c5puvcn1Ho1OAmvPVm27mjcWLSxkHDOAnBx3Yao06zSDgTxTyE4EzmTI1tVZQPjngc3X1PAr8mHc/LVaSJPUs++BgkCRJUkf4DHAxcACwKzAO2ABYi9KJPK8DDwO3A39MKT1bTdOU0pSIuAo4FcgBmwB9gJeAm4HfpZSq/t9zKaULI+Jm4DRKJwRtRunPjmYD04HzU0rXtaHfNRGxTTnfUcBYYCgwB7gHuAi4LKXU6p9HSZIkSZIkSZIkqfM5GKTeaDKlv3SVMpXbYvPV7s1sdIJQUwuWLuXNJUsarse1cLIQwAaDBzN0wADeWroUgFlvLWhx/U3Pz+SiRx5puP7uPnuz4ZAhLdYoE2cAEyjkT2LK1Ko+obWY4+d19TwJ/AUYVtN0kiQpC3sDP8o6hCRJUneXUloK3FB+dXTvR6h8Ek97+80EvlV+dUS/ucAPyi9JkiRJkiRJkiR1Iw5HqDealHUACWD04MGr3XtniKeSxkNBAEMHDGh1j2GN1sxrUt/Y0hUr+Ox1736I6M4bbMDnd9qp1f7KzIeBWyjkN6y2oJjjGmAP4JmapZIkSVnZM+sAkiRJkiRJkiRJkiRJkrLhYJB6o+2yDiABzFu8eLV766+9+rDQO9bqt+ohb0tXrGh1jyWN1jStb2zKnXfy+OuvA9Angl/lDqFvH3+L6OJ2A2ZQyFc9wVXM8QiwOzCtZqkkSVIW1q+rZ6OsQ0iSJEmSJEmSJEmSJEnqfH7Xt3ojB4PUJdz64our3Zu8UfMHwIwYNIi+EQ3XLy1Y0GL/xcuX80aj4aNRa61Vcd3Tb7zB2Xfc2XD9mR13YLcNqz6IRtnaGJhGIX90tQXFHHOBg4HzaxVKkiRlwuMeJUmSJEmSJEmSJEmSpF7IwSD1LoX8AGBc1jGk5StX8v3pd6xyb8yQIeQ237zZmj4RbLveug3Xd738cot73PvKK6xIqeF6h/XWq7ju89dfz+LlywEYPXgwZ++7b2vx1bUMBi6lkP96tQXFHEuLOT4JFICVNUsmSZI6085ZB5AkSZIkSZIkSZIkSZLU+RwMUm+zFdA/6xDq3d5YvJhj/34F98+Zs8r9Hx94IP379m2xdv9NNm14//jrr3NPC8NBFz38yCrXB2y66Wpr/vLoY1z77HMN1/97wAEMHziwxQzqkgL4AYX8+eUByKoUc0wFjgHerlkySZLUWTwxSJIkSZIkSZIkSZIkSeqFHAxSb7Nd1gHU+yxZvpzZCxZww/PPU3fTzYz/7e+48qmnVllz9r778KEJW7Xa69Qdtl/l+ks33MjSFStWW3fX7Nn87sEHG643GTqUw98zdpU185cs4cs33thwffBmm3HC1hOr+prUZX0CuIFCft1WV5YVc1wB7A28ULNUkiSpM3hikCRJkiRJkiRJkiRJktQL9cs6gNTJts06gHq2fzz1NB+47LKq148fOZKfHnQQh43doqr126y7Lidtuy3nP/QQALfPmsUhf/krZ++7D7uMHs2CpUu57Ikn+fqtt7Js5cqGunP225d+fVadBT192jRmv106KGZg37788pBDqs6tLm1vYAaF/AeYMvXhagqKOe6vq2cScAUwqabpJElSrWxWV886xRyvZx1EkiRJkiRJkiRJkiRJUudxMEi9jYNB6hLGjhjOlP3245jx4+kT0abanx50IPfPmcP9c+YAcOuLL7L3H//U7PrP7bQjH9l661Xu3fPyy/zyvvsbrr++++6MW2dkm3KoS9sC+DeF/PFMmfqvagqKOV6uq2c/4HzguFqGkyRJNbMjcGOrqyRJkiRJkiRJkiRJkiT1GH1aXyL1KNtlHUACeGbem3zsH1dz8r/+xeOvte1D3YcNHMjNJxzPsePHt7huUL9+fG+fvTm3yUlAK1Pi09fWszIlAMaNHMk3Ju9escc1zzzLZ66tZ6+LL2ar3/6OXS+4kA9dcQW/f/A/LFy2rE251emGAVdRyH+p2oJijsXFHMcDZwKpVsEkSVLN7Jx1AEmSJEmSJEmSJEmSJEmdyxOD1HsU8kOAzbKOoZ5ty5EjKOw+aZV7C5Yu47VFi3jg1Vd5/PXXGwZylqxYwQUPPcxfHnuc4v778YWdq/8+zuEDB3LJUUdyx0sv8ZdHH2PGy7OZ8/ZC+vfty5ghQzhws0352NZbs8mwYavVnnvvfdzzyivvXh9yMAP7rfrbwTPz5vHxq6/m37NeWq3+nlde4ZLHn+B/br+d3xya471jx1adW52uL/ATCvmJwBeYMnV5NUXFHGfV1fMY8AdgrVoGlCRJHWqnrANIkiRJkiRJkiRJkiRJ6lwOBqk32QaIrEOoZ5swahTn7Ldfs89fmD+f/7v/fn50190sXbECgMXLl/Nf19/AgqXL+HozJ/c0Z/JGGzF5o42qXv/SWwv41rRpDdfHT5jAIZtvvsqax197nf3//GdefvvtFnu9+NZbHHHZ5Vz8/vfx4QkT2pRbne7TwDgK+Q8yZeob1RQUc/ylrp5ngSuA0TVNJ0mSOoqDQZIkSZIkSZIkSZIkSVIv0yfrAFIn2i7rANImw4Zx9r77ctfHP8YGg9de5dnp06Yx7YUXa7r/f994I/OXLgVKpw79+MADVnm+dMUKTrjqqlWGgo4atyX3fuJEFn3lyzz36dP45uTJ9I3SjN3ylSs55V/X8My8eTXNrQ5xIHAHhfz4aguKOWYAuwH31yyVJEnqSFvV1bN268skSZIkSZIkSZIkSZIk9RQOBqk32TbrANI7tl9/ff5xzLH0iXcPsVqZEt+cdmvN9rz22Wf52+OPN1x/f5+9GT1kyCprLnzoYe6bM6fh+tjx47nsqKPYaYMNGNSvH5sNH873992HHx6wf8OaBcuWccZtt9UstzrUeErDQQdWW1DM8SKwN/D3mqWSJEkdpQ+wQ9YhJEmSJEmSJEmSJEmSJHUeB4PUmzgYpC5l1w1Hc8LECavcu+3FWTxbg9N3Fi9fzuevu/7dvUeP5rM77bTaul/d/+7BMP379OFnBx1ENBpeescXd9mFrUeNarj+2+NP8PqiRR2cWjUyEriWQv60aguKOd4GjgGm1CyVJEnqKDtnHUCSJEmSJEmSJEmSJElS53EwSL3JdlkHkJo6ety41e79e9ZLHb7P96ZP5+nywFHfCH6VO2SV04oA5i1ezL2vvNJwfcCmm7LR0FVPFHpHnwg+uvXWDddLV6zg9lmzOjy3aqYf8GsK+Z9QyPetpqCYIxVzfB04CVhay3CSJGmNrD79LUmS1IVExPMRcVZEbJF1FkmSJEmSJEmSJKkncDBIvUMhvx6wftYxpKa2HDlytXsvLVjQoXs89tprFGfc1XD9uZ12YpfRo1db98CcV0mNrnfbcPU1tPD8/jlz1iinMvEl4EoK+WHVFhRzXAAcBMytWSpJkrQmHAySJEld3SbAt4AnI+LGiPhoRAzKOpQkSZIkSZIkSZLUXTkYpN5i26wDSJUM6Lv6YS1NDvJZY5+tv46lK1YAsOHgwXxvn70rrntt8aJVrjcaUvm0oOaez120qJmV6uIOB/5NIb95tQXFHLcBk4BHahVKkiS127Z19fTPOoQkSVILEhCU/n5iP+BCYHZE/F9ETMo0mSRJkiRJkiRJktQNORik3mK7rANIlVQ6HWj04MEd1v/Chx7i5hdeaLj+8YEHMmzgwIprFy1bvsr1wApDSy09b1qvbmUbYAaF/F7VFhRzPAvsAVxTs1SSJKk9BgATsw4hSZLUgoYTgygNCAUwHDgNmB4R/4mIL0fEehlmlCRJkiRJkiRJkroNB4PUW3hikLqkG55/frV7Y0eM6JDebyxezNduvqXh+tAtNue4iROaXT+8ycDQW0uXtti/6fOm9ep21gNuoJD/eLUFxRzzgfcDP6tZKkmS1B5bZR1AkiSpOSmll1JKZ6eUtgL2Af4ALODdIaGtgR8CL0bEpRHx/ojw7zIkSZIkSZIkSZKkZviXaeotPDFIXc6bS5bw+//8Z5V76629NrtvuGGH9C/cfAuvLlwIwKB+/Tj34INbXD9m6JBVrp96Y16L65s+b1qvbmkgcCGF/NkU8lFNQTHHimKOLwGfBTw2SpKkrmF81gEkSZKqkVK6PaV0CjAaOBm4tfwogP7AUcAVwAsRcXZEjMsmqSRJkiRJkiRJktR1ORik3mKbrAOoZ3l90SIWtHKiTkuWrVjBJ//5L155e+Eq90+YOIG+fdb8l+bps2bxuwcfbLj+xu67856RI1us2W699Vi7f/+G6xtnzmxxfdPTjiZvtFE7kqqL+gZwCYX82tUWFHP8CjgMeKNmqSRJUrUcDJIkSd1KSmlhSun8lNL+wDjg+8ALvHuK0IZAAXgsIqZFxEkRUfWfW0iSJEmSJEmSJEk9mYNB6vkK+U2AoVnHUM/y4Kuvsvmvf8P3/j2dF996q021j8ydy8F/+SuXP/nkKvfXW3ttztxrrzXOtnzlSj5Tfx2pfD1+5EgKu09qta5fnz4cPnaLhutHX3uN6557ruLauQsX8qdHH224HjNkCLuOHr0msdX1HAPcRiG/cbUFxRw3AJOBJ1tbK0mSasrBIEmS1G2llJ5JKX0b2Bw4FPgLsJh3h4T2BM4DXo6I30XE7llllSRJkiRJkiRJkrqCflkHkDrBFq0vUU/wxuLFTLnzzmaf3/birNXuTbnzToYPHFhx/djhIzhtxx2a7ffaokV8+7bbOOO229h9ow05aLPN2GG99Zkwah3WGTSIYQMGsiKtZP7SpTz35pvcP2cOVz71FDfNfIGVKa3Sa2Dfvlxw+HsZOWhQlV9t835y9908+OqrDde/zB3CwH7V/XL/37vswiWPP9Fw/alrruXWE45ns+HDG+4tWraMj1/9T+Y3OjHpv3bZmX4dcNKRupydgBkU8kcyZepd1RQUczxRV89k4BLggJqmkyRJzdkq6wCSJElrKqWUgOsi4h7gMeBbvPthZwEMAT4JfDIi7gLOSCnVZxJWkiRJkiRJkiRJypCDQeoNNss6gDrHm0uWMOXOGW2q+dX9DzT7bL9NNmlxMOgdCbjjpdnc8dLsNu39jiH9+/PXI4/gvWPHtqu+sRfmz+fM2//dcP2RiRM5aLPq/xPYa+ON+fQOO/DrB0o/LzPnz2eH8y/gpG23ZeKodZizcCEXPvQwT82b11Cz8wYb8JVdd13j7OqyNgRuoZA/iSlT/1pNQTHH63X1HAqcC5xa03SSJKmSkXX1rFvMMTfrIJIkSe0REQG8l9LgzweA/u88Kv/4JDASWLd8vRvwr4g4L6V0WmdmlSRJkiRJkiRJkrLmYJB6g02zDqCeJxq+B2HNHD1uHD87+CA2Hjq0Q/r91/U38PayZQCMGDiQ/z2w7Qe2/PSgA5mzcCGXP/kkUBq4+uk991Rcu/WoUVx5zNH079u3/aHVHawF/JlCfgJTpn6nmoJijmXAaXX1PAL8iHc/0VeSJHWO8eBgkCRJ6l4iYgKlYaCPAaPfuV3+cSGlE4rPSylNi4h+wBHAp4FDymtOiYjpKaU/dGJsSZIkSZIkSZIkKVN+k656A08MUofbb9NNeOCkTzB1v/04fOxY1lt77arqAhg3ciSF3SfxyCknc9nRR3XYUNBVTz3FFU891XB99r77sMHgwW3uM7BfP/525BH84uCD2GBw5a9rUL9+/Pcuu/Dvj32UMR2UX11eAGdRyP+RQn5QtUXFHD+h9Mm+b9UsmSRJqmR81gEkSZKqERHDIuK0iJgOPAx8jdIJxlF+3Qt8DtgopXRSSmkaQEppeUrpspTSocBhwOJyy891+hchSZIkSZIkSZIkZcgTg9QbOBjUS2w+fDgpX9dp+22//vpsv/761O0+CYAX5s/n6XnzeH7+fN5YvJi3ly2jTwTDBgxg2MCBbDZsGDuuvz7DBg6sSZ5XFy7if/bcE4C1+vfj0zvu2O5effv04fM778xndtyRO156iYfmzuW1RYsZOmAAWwwfzgGbbsLgAQM6Krq6lxOALSjkj2LK1FeqKSjm+GddPXsCVwGb1zKcJElqsFXWASRJkloSEQdROh3oaOCdDyF553SgecDFlE4Hur+1Ximl+oi4gNLpQeNqEFeSJEmSJEmSJEnqshwMUm+wadYB1DtsMmwYmwwbltn+J2+/XYf37NunD3ttvDF7bbxxh/dWtzYZmEEh/wGmTH2wmoJijofq6pkE/B3Ys6bpJEkSeGKQJEnqoiLiO8CJwCbv3Gr0+Bbgd8AlKaUlbWz9aPlHj7eWJEmSJEmSJElSr9In6wBSJ3AwSJI63qbA7RTyH6i2oJjjVeBA4KKapZIkSe9wMEiSJHVV36I0FBTl12zgHGB8SumAlNLF7RgKAljRgRklSZIkSZIkSZKkbsPBIPVshfy6wNpZx5CkHmoI8HcK+bpqC4o5lhRzfBw4HUg1SyZJkrasq/f/80uSpC5rJfAP4Chg05TSN1NKT61hzwuALYCxaxpOkiRJkiRJkiRJ6k78JiH1dJtlHUCSerg+wFQK+fMo5PtXW1TMcTbwQWBhzZJJktS7DcLTUyVJUtd0OqVhoCNSSlemlDrkpJ+U0oKU0vMppec7op8kSZIkSZIkSZLUXTgYpJ7Ob4STpM5xMnA9hfyoaguKOS4D9gFm1SyVJEm92/isA0iSJFXwMLBbRLw36yCSJEmSJEmSJElST+BgkHo6TwySpM6zL3AnhfzEaguKOe4FdgPurlkqSZJ6LweDJElSV/R34HLgtKyDSJIkSZIkSZIkST2Bg0Hq6TwxSJI613uA6RTyh1ZbUMwxm9JQ0d9qlkqSpN7JwSBJktQVLSz/eH+mKSRJkiRJkiRJkqQewsEg9XSeGCRJnW84cDWF/BeqLSjmWAQcB3y3ZqkkSep9HAySJEld0eysA0iSJEmSJEmSJEk9iYNB6ukcDJKkbPQFfk4hfy6FfL9qCoo5UjHHGcBHgcU1TSdJUu+wSdYBJEmSKrgNCGD7rINIkiRJkiRJkiRJPYGDQerpNs06gCT1cp8D/kkhP6LagmKOPwIHAK/ULJUkSb3DmKwDSJIkVXBe+cfDI2JspkkkSZIkSZIkSZKkHsDBIPVchfxawHpZx5AkcQgwnUJ+y2oLijnuACYBD9YslSRJPd/wunoGZx1CkiSpsZTSbcBPgYHAPyLiPRlHkiRJkiRJkiRJkro1B4PUk3lakCR1HROAOynk96u2oJhjJrAXcFXNUkmS1PN5apAkSepSImJT4CfAryn9ecF/IuIPEfHhiNghIjaPiE1be2X7VUiSJEmSJEmSJEldh4NB6sk2yzqAJGkV6wDXUcifUm1BMccC/j97dx5nV13fDfxzErKRlYSdsIddcAdUUEQZoRPKw18AACAASURBVGpVXFDxoVqX2rrVZWZcau1j3WZGfVqtWmvdtdRarAsuDODOUgREASEkAcISCDtZyEZynj/mTjJ3EpLJ5E7OnTvv9+t1XnfOuef3m88gL5yb3M/9Ji9O8skRSwUArU0xCABoNrcmuTnJm5KUSSYnOSfJuUmuTrIoyS3bOG7e2aEBAAAAAACgWSkG0cp8aiRA85mQ5N/T2fHJdHYM6feQnrZs6GlLe5LXJ1k3oukAoPUoBgEAzagYcAw+H+oBAAAAAAAAJNml6gAwgkwMAmhe705yeDo7Xp2u7hVDWdDTlq+092ZRkvOSzBnRdADQOuZWHQAAYJBfp29SEAAAAAAAANAAikG0MhODAJrbC5Ncks6OF6ar+7ahLOhpy6/ae3NCkvOTHDmi6QCgNZgYBAA0lbIsT6k6AwAAAAAAALSScVUHgBG0d9UBANim45Jckc6Opw11QU9bFiU5MUnviKUCgNahGAQAAAAAAAAAAC1MMYhWtlvVAQAYkr2S/CKdHWcPdUFPWx5O8mdJPjdiqQCgNSgGAQAAAAAAAABAC1MMopUpBgGMHpOSfCudHR9JZ0cxlAU9bVnf05a3JnlrkkdHNB0AjF6KQQAAAAAAAAAA0MIUg2hlikEAo88HkvxXOjt2HeqCnrZ8Ln3Tgx4esVQAMHrt3d6b8VWHAADYmqIo5hVF8RdFUXykKIrP1Y5/LIrinKIo5lWdDwAAAAAAAJqZYhCtqW/axKyqYwAwLC9L8ut0duw71AU9bbkwyYlJFo1YKgAYncYn2avqEAAAW1IUxfOKorg0yfwkX0nyviRvrh3vT/LVJPOLovhtURRt1SUFAAAAAACA5qUYRKuanvhUbIBR7MlJrkhnx5OGuqCnLTcmOSHJr0YsFQCMTvtVHQAAYLCiKD6V5Cfpey1fbON4WpKfFkXxyWrSAgAAAAAAQPNSDKJV7VZ1AAB22H5JfpPOjpcOdUFPW+5Pclr6PmUYAOgzt+oAAAADFUXxD0ne2X+aZHmS/0rfxKA31o73JflO7bn+gtA7a2sBAAAAAACAGsUgWpViEEBr2DXJd9PZ8YGhLuhpy7qetrw+SXuSDSOWDABGDxODAICmURTF4UneP+DSx5PsU5blK8uy7CrL8su1o6ssy1cl2TvJx9L3Gr9I8r6iKA7b+ckBAAAAAACgOSkG0aoUgwBaR5HkI+ns+GY6OyYNdVFPWz6Z5MVJVoxYMgAYHRSDAIBm8qYkuyQpk7ytLMsPlGX5yGPdXJblqrIs/y7JW2qXdknyVyMfEwAAAAAAAEYHxSBalWIQQOt5TZKfp7Njz6Eu6GnLj5I8I8ltI5YKAJrfXlUHAAAY4Lm1x9+XZfn5oS4qy/KLSa5O3weIPHcbtwMAAAAAAMCYoRhEq1IMAmhNT09yRTo7HjfUBT1t+WOS45NcPmKpAKC5za46AADAAPunb1rQhcNY27/mgMbFAQAAAAAAgNFNMYhWpRgE0LoOTHJpOjueP9QFPW1ZmuTZSf5jxFIBQPNSDAIAmsmutcflw1jbv2ZKg7IAAAAAAADAqKcYRKtSDAJobdOT/DCdHe8a6oKetqzuacvZST6Yvk8mBoCxQjEIAGgm99YejxjG2iMH7QEAAAAAAABjnmIQrUoxCKD1jUvyqXR2fCmdHROGuqinLR9JclaSVSOWDACai2IQANBMrklSJHlxURR7DXVRURR7J3lR+j7s4w8jlA0AAAAAAABGHcUgWpViEMDY8YYkvensGPKbnnva8t0kz0yyZMRSAUDz8PoIAGgm3689TkvyP0VRbPN3laIoZif5XvomCKf2NQAAAAAAABDFIFqXN74BjC2nJPnfdHYcMdQFPW25MsnxSa4eqVAA0CQmt/dm16pDAADUfD3JTbWvT0hyY1EUHUVRzBt8Y1EU84qi6ExyQ+3esrb2GzsrLAAAAAAAADQ7xSBalWIQwNgzL8nl6ex47lAX9LTlziQnxycNA9D65lQdAAAgScqyXJ/kzCQP1i7tnuTjSeYXRbG8KIrFtWN5kvlJPla7p0jyQJKX1PYAAAAAAAAAohhE61IMAhibZiX5aTo7/nqoC3ra8kiSl6XvjUYA0Kq8RgIAmkZZln9K8vQkV6Wv8NN/TE0yt3ZMHfTc75I8vSzLG6vIDAAAAAAAAM1KMYhWNbvqAABUZpckn09nx2fS2TF+KAt62lL2tOUDSc5JsmZE0wFANWZVHQAAYKCyLG8qy/L4JC9I8p0kt9ee6i8CpXbtP5M8vyzLE8qyXLDzkwIAAAAAAEBzUwyi9XR2FPGmNwCStyU5P50dM4a6oKct30zynCT3jlgqAKjGkP//EABgZyrL8idlWb6qLMsDk0xOsk/tmFyW5YFlWb66LMufVpsSAAAAAAAAmpdiEK1oepIhTYgAoOWdnuSydHYcMtQFPW25JMnxSa4bsVQAsPMpBgEATa8sy7VlWS6tHWurzgMAAAAAAACjgWIQrWhm1QEAaCpHJ/nfdHacPNQFPW25NcnTk/xkpEIBwE7mdRIAAAAAAAAAALQgxSBa0aSqAwDQdHZPclE6O1471AU9bVme5M+T/NNIhQKAncjEIAAAAAAAAAAAaEG7VB0ARsD4qgMA0JQmJvlqOjuOTvLedHVv2NaCnrasT/LO9t7ckORfkkwY4YwAMFIUgwCAplAUxTN3YHmZZFWSh5PcUZblqsakAgAAAAAAgNFLMYhW5N9rALamPcnh6ew4O13dK4eyoKct/9bemwVJ/jvJ7BFNBwAjY2bVAQAAan6ZvoLPjtpQFMX8JN9P8qWyLBc3YE8AAAAAAAAYdcZVHQBGgIlBAGzLi5Jcks6O/Ye6oKctv0hyYpL5I5YKAEaOiUEAQDMpGnCMT3JUkvcluaEoir/duT8CAAAAAAAANAfFIFqRiUEADMXjk1yRzo4Thrqgpy0L0lcOunjEUgHAyJhedQAAgJqv147vpX5y0JIkvUn+s3b01q7121Bb860kP0yyoHa9SDI5yaeKonjXiCYHAAAAAACAJqQYRCsyMQiAodo7yS/T2fHKoS7oactDSU5P8q8jlgoAGm9i1QEAAJKkLMvXJflkkiekr9TzgyRPLstyblmWp5dl+eracXpZlnOTPCV9RaBx6fuQj66yLF9cluURSQ5Pcm5t6yLJR4uiGPJ0YAAAAAAAAGgFikG0IhODANgek5Ocm86Of0hnRzGUBT1tebSnLX+d5B1J1o9oOgBoDMUgAKApFEUxM31loIOTfKIsy5eUZfn7x7q/LMury7J8cZKuJIcm+UFRFLNqzy0qy/LsJP9Uu31ikjeN6A8AAAAAAAAATUYxiFZkYhAAw/Gh9BWEpgx1QU9bPpPkBUmWjVgqAGiMCVUHAACoeXOSQ5IsSPKB7Vj3gSQ3pa9Q9OZBz70/yb21r5+zowEBAAAAAABgNFEMohWZGATAcJ2V5Jfp7Nh7qAt62vKzJE9LcsuIpQKAHacYBAA0i5cnKZOcX5ZlOdRFZVluSHJ+kqK2x8DnVif5We25QxoXFQAAAAAAAJqfYhCtSDEIgB1xfJLfpbPjCUNd0NOWP9XW/XbEUgHAjlEMAgCaxcG1x/uHsbZ/zUFbeG5R7XHWMPYFAAAAAACAUUsxiFY0vuoAAIx6c5P8Np0dLx7qgp623JfkOUm+PmKpAGD4JlYdAACgZlLt8cBhrO1fs6XfbdbVHlcMY18AAAAAAAAYtRSDaEUmBgHQCFOTfC+dHZ1DXdDTlrU9bXltkvcmKUcqGAAMg4lBAECzWJykSPLioiimD3VRURQzkrwkfa+3b9vCLfvWHu/Z4YQAAAAAAAAwiigG0YpMDAKgUYokn0hnx9fS2THkSQs9belKcmaSlSOWDAC2j2IQANAsflx73CPJuUVRTN7Wgto9/1FbkyTnb+G2E9NXGrqzESEBAAAAAABgtFAMohWZGARAo/1FkovT2bH7UBf0tOX7SU5KcvuIpQKAoVMMAgCaxaeTPFT7+owkNxRF8ZaiKA4YfGNRFAcURfHWJDfU7k2Sh5P8v0H3zUvy5Nrp5SOSGgAAAAAAAJqUYhCtyMQgAEbCSUmuSGfHMUNd0NOWa5Icn+SKEUsFAEMz5Ml3AAAjqSzLu5OcnWRN7dIBST6T5JaiKJYVRXFr7ViW5JYk/1y7p6itObu2x0DvrT0WSX440j8DAAAAAAAANBPFIFqRiUEAjJSDk1yazo4ztnlnTU9b7k7yrCTfGbFUALBtJgYBAE2jLMufJjk1yY3pK/P0H9OS7F87pg167sYkp9bWDt7vDWVZjqsdv9s5PwUAAAAAAAA0BwUKWpF/rwFolEeT3JpkwaDjxu3ZpKctq5O8sr03NyT5h8ZGBIAhUQwCAJpKWZaXF0VxXJIXJXlVkhOT7Je+ElC/O5NcnuTcJD8sy/LRnR4UAAAAAAAAmpwCBa1ofNUBABhVNiS5PclN2bwAdEu6utc16hv1tOX/tvfmxiRfSzK5UfsCwBAoBgEATacsy/VJvlc7UhTFpCSzak8/VJblmqqyAQAAAAAAwGihGEQr8u81AIOVSZakr+wzuAC0KF3dO+2NRj1t+U57b25J8oMke++s7wvAmDex6gAAANtSKwItrToHAAAAAAAAjCYKFLQiE4MAxq6l2VT4GVgAWpiu7keqDDZQT1uuaO/N8Ul+mOQJVecBYEwwMQgAAAAAAAAAAFqQYhCtyL/XAK3t/tRP/OkvAS1MV/eyKoNtj5623N7em5OSfDvJi6rOA0Dra+/NLj1tebTqHAAAgxVFcXSSJyfZI8nUJBeWZXl5takAAAAAAABgdFCgoBWVVQcAYIc9nM3LP30FoK7uB6sM1mCrkrw7yZwkJ1WcBYDWNyFRDAIAmkdRFH+Z5H1JDhn01Moklw+694Ik+yS5tizLs3dOQgAAAAAAAGh+ikG0olVVBwBgSFYmWZi+aT/1BaCu7nuqDNZI7b0pksxNctgWjkOSTKouHQBjTFF1AACAJCmKYkKS72TTBN2Bv6c81gc//SLJx5IcUxTFB8uyvHkEIwIAAAAAAMCooRhEK3qk6gAAbLQ6yaL0T/upL/8sqTJYo7X3Zu/0lX0OT335Z16SKRVGA4B+a6sOAABQ86UkL659vTzJuUn+kORzW1nzzSQfrX39wiT/PGLpAAAAAAAAYBRRDKIVKQYB7Fzrktyc+qk//SWgO9LVvaHCbA3V3pvdU1/66S8BzUsyvcJoALAtZU9bHq06BABAURRPT3JO+iYD/T7JC8qyvLv23GMWg8qyvLMoij8mOS7JM6MYBAAAAAAAAEkUg2hNikEAjbc+ya2pL//0F4AWp6t7fXXRGqu9N7NSX/4ZWACaVWE0ANgR66oOAABQ85e1xzVJXtJfChqiq5M8PsnRDU8FAAAAAAAAo5RiEK1IMQhgeDYkuT2bl38WJLk5Xd0t84bi9t5My+bln/4C0O4VRgOAkbK26gAAADXPTN+0oPPLsrx9O9feWXvcp7GRAAAAAAAAYPRSDKIVKQYBbN2SbJr2M7D8syhd3aurDNZI7b2ZkmRetlwA8gYiAMaalin4AgCjXv9r8muHsXZl7XHXBmUBAAAAAACAUU8xiFakGASQ3JNNhZ+BBaCF6epeubWFo0l7byYmOSSbpv0MLP/MTVJUlw4AmoqJQQBAs+h/rb5+GGtn1h6XNSgLAAAAAAAAjHqKQbQixSBgrHgg9RN/NpWAurpb5g0y7b3ZJclBqS/99JeADkgyvrJwADB6KAYBAM3iniQHpu81/fZ6Qu1xSePiAAAAAAAAwOimGEQrUgwCWsmybF7+6SsAdXU/UGWwRmrvzbj0vSHosGxeADooyYTKwgFAa1hXdQAAgJor0/da/7TtWVQUxd5Jnp2kTHJJ42MBAAAAAADA6KQYRCtSDAJGm0ey5fLPgnR1L60yWCO196ZIsl82L/8cluTQJJOqSwcALc/EIACgWfwgycuSHFQUxRvKsvz3Ia77bPr+7KBM8r2RCgcAAAAAAACjjWIQraere006O9YnGV91FIAB1iRZlP5pP/UFoCXp6i4rzNZQ7b3ZK5um/Qws/8xLsmuF0QBgLFMMAgCaxblJPpi+Pzf4l6Io1pZl+Y3Hurk2KegzSV6avlLQ78qyvHCnJAUAAAAAAIBRQDGIVrUqybSqQwBjzrokt2RT4WdgAej2dHVvqDBbQ7X3Zk42FX4GF4CmVxgNANiydVUHAABIkrIsNxRF8eokv0rfB4h8tSiK9ybpHXBbW1EU+yY5LsnJSSbWri9L8n92Zl4AAAAAAABodopBtKpHohgEjIz1SRanfuJPfwlocbq6H60wW0O192Zm6gs/AwtAu1UYDQDYfiYGAQBNoyzLq4uieH76pgftk+SI2tE/Ufm02pEkRe3xriRnlmW5YGdmBQAAAAAAgGanGESreqTqAMCoVia5PZuXfxYkuTld3S3zxtr23kxNfflnYAlojwqjAQCNZWIQANBUyrL8dVEUxyVpT/LGPPaHkKxI8u9JPl6W5b07Kx8AAAAAAACMFopBtCrFIGAo7sqmaT8Dyz+L0tW9qspgjdTem8lJ5mXLBaB9K4wGAOw8LVNsBgBaR1mW9yd5b1EU70/yxCTHJZmTvr+7uD/JjUkuL8tSyRkAAAAAAAAeg2IQrUoxCOh3bzYVfgYWgBamq3tFlcEaqb03E5Ickk3TfgaWf/ZPUlSXDgBoAopBAEDTKstyQ5KragcAAAAAAACwHRSDaFUtM+kDGJIHUz/xZ1MBqKv74SqDNVJ7b8YnOSibCj8DC0AHJhlfWTgAoNn5lH0AAAAAAAAAAGhBikG0KhODoPUsT335Z1MJqKv7/iqDNVJ7b8alb8LPwIk//QWgg5NMqC4dADCKrak6AABAkhRFsSHJhiQdZVl+ejvXviXJZ5KUZVn6+w0AAAAAAACIYhCtSzEIRqdHkizMlgpAXd13Vxms0dp7s1/qyz/9x6FJJlcYDQBoTQ9VHQAAYICiorUAAAAAAADQchSDaFWKQdC81iS5Of3TfuoLQHemq7usMFtDtfdmz9RP/Ok/5iWZWmE0AGDsUQwCAAAAAAAAAIAWpBhEq1pZdQAY4x5Ncks2FX4GFoBuS1f3hgqzNVR7b2ZnU+FncAFoRoXRAAAGerDqAAAADTCp9ri20hQAAAAAAADQRBSDaFUPVB0AxoANSRanfuJPfwHo1nR1P1phtoZq782M1Bd+BhaAZlcYDQBgqEwMAgBaweNqj/dXmgIAAAAAAACaiGIQreruqgNAiyiT3JH68k//sShd3S3z6aztvdk19eWfgQWgPSuMBgDQCCYGAQA7XVEUM5LMeoyndyuK4oAhbDM+fR/M8uwkr07fn1f9sTEJAQAAAAAAYPRTDKJVLa06AIwyd6d+4k//sTBd3auqDNZI7b2ZlGReNi8AHZZk3yRFdekAAEaUiUEAQBXemeTvt3C9SPL+2rE9ivQVg87dwVwAAAAAAADQMhSDaFUmBsHm7sumws/AAtDCdHUvrzJYI7X3ZkKSg1M/8af/2D/JuOrSAQBUxsQgAKAqj/VBLMP9gJb/KMvym8MNAwAAAAAAAK1GMYhWZWIQY9VDqZ/4s6kA1NXdMp8S396b8UkOzKbCz8AC0IHx/28AAIO1zO+CAMCocmuSXw269qz0Tf25JcntQ9hjXZKHk8xP8uOyLC9rZEAAAAAAAAAY7bxxmlZlYhCtbEXqyz+bCkBd3fdVGayR2ntTpG/Cz8CJP/0FoIOTTKwuHQDAqGNiEACw05Vl+fUkXx94rSiKDbUvP1+W5ad3fioAAAAAAABoLYpBtKau7gfT2bE2igOMXquSLMyWCkBd3S1VfGvvzb6pL//0F4AOTTK5wmgAAK3ExCAAoFn8On0Tg4YyLQgAAAAAAADYBsUgWtnS9E0bgWa1NsnNGTjxZ9NxR7q6ywqzNVR7b/bIpmk/A495SaZVGA0AYCxY2dOWdVWHAABIkrIsT6k6AwAAAAAAALQSxSBamWIQzeDRJLdm4MSfTV/flq7u9dVFa6z23uyW+ok/AwtAMyuMBgAw1pkWBAAAAAAAAAAALUoxiFZ2d9UBGDM2JLkt9RN/+gtAt6aru2U+nb29N9NTX/gZWACaU2E0AAAe24NVBwAAAAAAAAAAAEaGYhCtbGnVAWgpZZI7U1/+6S8A3Zyu7jUVZmuo9t7smmRetlwA2qvCaAAADI+JQQBA0yqKYtckT01yRJJZSSYPZV1Zlh8eyVwAAAAAAAAwWigG0cpMDGI4lmbTtJ+Bx8J0dT9SZbBGau/NpCSHpr7803/sl6SoLh0AAA1mYhAA0HSKotgryceSvDJDLAMNohgEAAAAAAAAUQyitZkYxGO5P/UTfzYVgLq6l1cZrJHae7NLkoOzadrPwOOAJOOqSwcAwE5kYhAA0FSKojg2yYVJ9sjwPqCmbGwiAAAAAAAAGL0Ug2hlJgaNbQ+nfuLPpgJQV3fLfGJ6e2/GJTkwmwo/A0tAB8V/5wEAMDEIAGgiRVFMTPL9JHvWLl2d5LtJnpjkFekr/bw+ycwkxyR5QZK9k2xI8v+SXLeTIwMAAAAAAEBT84ZxWpmJQa1vZerLP5sKQF3d91YZrJHae1MkmZv6iT/9BaBDkkysLh0AAKOA10YAQDN5bfqmXJdJvp7k9WVZlkVRvDt9xaCUZfm1/puLopiQ5L1JPpTkzUleUpblRTs5MwAAAAAAADQtxSBamYlBrWF1koXZvAC0IF3dS6oM1mjtvdkn9eWf/mNekikVRgMAYHS7o+oAAAADvLD2+FCSt5ZlWW7t5rIs1yX5x6IoHknSk+TbRVEcV5al8jMAAAAAAABEMYjW5i+GR491SW5O/7Sf+uP2dHVv9c0Bo0l7b3bPpmk/g8s/0yuMBgBA67qz6gAAAAM8IX3Tgn5aluUj27Hu00n+KsmhSd6Y5CMjkA0AAAAAAABGHcUgWldX98Pp7FidZHLVUUiSrE9ya/rKPoMLQIvT1b2+umiN1d6bWekr+2ypADSrwmgAAIxNJgYBAM1kTu1x/qDrG/98sCiKKWVZrhr4ZFmWZVEUP0ny9iQvimIQAAAAAAAAJFEMovUtTXJg1SHGkA1Jbk996ae/BHRLurrXVZitodp7My31hZ+BJaDdK4wGAACDmRgEADSTova4ZtD15QO+3jPJ4i2s7Z8Sf0CjQwEAAAAAAMBopRhEq7s7ikEj4c7Ul3/6j0Xp6l5dZbBGau/NlCTzsuUC0N4VRgMAgKF6uKctK6oOAQAwwH1J9k0yY9D1uwZ8fWS2XAzar/Y4cwRyAQAAAAAAwKikGESrW7rtW3gM92TTtJ+Bx8J0da+sMlgjtfdmYpJDU1/+6T/mZtMnmAIAwGhkWhAA0GxuTF8x6LBB1/844OvnJ7lg4JNFUUxIckbt9L4RSwcAAAAAAACjjGIQrW5J1QGa3APpK/tsXgDq6l5WZbBGau/NLkkOyqZpPwOPA5KMrywcAACMrDuqDgAAMMilSZ6T5ISBF8uyvKMoimuSPCHJm4qiuKAsyx8nSVEUk5J8PsnBScraHgAAAAAAAEAUg2h9t1QdoAksy6bCT30BqKv7gSqDNVJ7b8alr+RzWDYvAB0c/70DAGBsMjEIAGg2P0vywST7F0XxpLIsrx7w3CeTfCvJhCQ/LIri5vR9uNFRSaYOuO+zOyssAAAAAAAANDtvlKfVLao6wE6yMsnC1E/96SsBdXXfU2WwRmrvTZFkv9SXfvpLQIckmVRdOgAAaEomBgEATaUsy8uKorgkye5JXpDk6gHP/UdRFKcl+YvapUNqR5IUtcd/LMvyNzsrLwAAAAAAADQ7xSBaXSsVg1an7+dZsNnR1d1SnwLe3pu9U1/+6S8AHZpk1wqjAQA7wYr7l2Tpgquy4oG7smbFQyk3rM/EqTMzZfrs7H7wcZmz/5Epxo2rOuawLV34+9yz8Oo88vC9mTB5ambscUD2f/yzM2nqjB3ee9Hl5+fuBVcmSYpiXJ7ysndn4uSp21hFi2up1woAQGsoy/LkrTz3uqIoLk3y1iTH9l9OcmWSrrIsz9sJEQEAAAAAAGDUUAyi1Y22YtC6JLekf9pP/XF7uro3VJitodp7Myebpv0MPqZXGA0AqMCK+5fkjz/9Uq7r/VqWLb11q/dO3HV6Dj/55Xn8n/1V9jny+CF/j08+r9j2TcPwxq/fkpl7H7TN+2785Xfym6+9Pw/fdfNmz43bZUIed9prc9JrP5pdZ+0xrBzL77sz53/iVVm3akWS5HFtr1MKIjExCAAYhcqy/FKSLxVFMSXJbkkeLMtyVcWxAAAAAAAAoCkpBtHaurqXp7Pj3iTDe3flyFifZHH6yj6DC0C3pqt7fYXZGqq9NzOzadrP4PLPbhVGAwCayO9/+Ln85qvvy9pHlg/p/rWPLM91F3wl113wlTyu7XU55a8+ncnTZo1wysdWjBu/1efLsswv/vVvc/X3P/OY92x4dF3++NMv5ZarLsjLP9ab2fsfsd05fv75t28sBU2ZMSfPemPPdu9BSzIxCAAYtWplIIUgAAAAAAAA2ArFIMaCRdn5xaAyye2pL/30l4BuSVf32p2cZ8S092Zq6gs/A0tAzVTIAgCa0EX/8tZc86PPDXv9db1fzT03X5OXf/zCTJkxp4HJhmb23CMyY8/9t3rPlf/9qbpS0IQp03L0qa/JnAOPyapl9+XGX56bB++4KUmy/J7bct7fnZFzPn9NJk2dMeQcN1/xkyy45Hsbz5/5hu5K/nnQlEwMAgAqVxTFM5L0N+p/tz3Tf2pTg55aO320LMtLG50PAAAAAAAARjPFIMaCm5OcOEJ7L0l9+ae/ALQoXd2rR+h77nTtvZmcZF62XADap8JoAMAodtX3/mmLpaC9Dn9Kjjvjjdn36Kdn2ux9M278+Dzy0L1ZuuCq3PCLb2fR5T+qu/+ehb/Pjz56Vl7RddFWv9/xr+jcobyLr7k4S2+6f3FEagAAIABJREFUsu7a405//VbXPLx0cX779b/beD5tzr45q+dX2W2/eRuvnXDW+/LjrrOz4Lfn9a25+5b89msfyHPe8tkh5Vq3ZlUu/txbN57vd8xJeVzb64a0lpa3pqct91UdAgAY24qieHGS82qnPyzL8iXbs74sy1VFUbwzyZ/X9nt+WZY/a3BMAAAAAAAAGLUUgxgLFu3g+nuzadpP/dHVvXIH924a7b2ZkOTQ1Jd/+gtAc5MU1aUDAFrNygeX5rff+OBm10/+y0/k+Fd0pCjqf/WYNHVmdttvXo485aws+t8f50cffUUeXfPIxudvu+bizP/1d3PEM1/+mN/zma//xA5l/sobjqo7H7fLhBxz2l9sdc01P/p81q9bs/G87Z3/XlcKSpJdJk7KGe1fz103XJYV9y9Jklx7wVfyjHM+nMnTd9tmrsu+/eE8fPctfZnG75Lnvv0Lm/3zY8y6s+oAAABJPpq+P1u8N8nWf4F+bK9L35/R7l7bTzEIAAAAAAAAahSDGAuGUgx6MJum/Qwu/zw8gtl2qvbejE9yUDZN+xl4HJhkfGXhAIAxZf6vv5t1q1bUXXvCC9+SE87a9lSfQ094fp73zn/Pjz/x6rrr11/49a0Wg3bEnddfkgduv3FQjhdk6qw9t7pu4WXf3/j17LlH5JCnnrHF+yZOnprHP//NueQbf58keXTNI7n1qt4cecpZW93/vsV/ypXnfWrj+ZPPfFf2OOhxW13DmKIYBABUqiiKE5IclaRM0lOW5bLh7FOW5UNFUfQk6UryhKIonlyW5VUNjAoAAAAAAACjlmIQY0F/MWh5NhV+6gtAXd33V5St4dp7My7J/tk07Wdg+efgJBOqSwcA0Gfx1b31F4oiJ77qA0Nef9SzX5VLv/UPefCOmzZeu+0Pv2hQus1d+7Mvb3btcc97/VbXrFr2QF2+A574nK3ef9CT2zYWg5Lkrhsv32oxqCzLXPTZv86GR9clSWbsdWCe/poPbfV7MOYsrjoAADDmvaT2+GiSL+7gXl9M37Sg8UnOTKIYBAAAAAAAAFEMYmy4Isne6epeWnWQRmnvTZFk39SXfvpLQIcmmVRdOgCAbVt+3x1157PnHpFpc/bZrj32P+6UuuLNo2seyeoVD2XytFkNydhv7aoVmf+b79ZdmzZn3xz8lNO3um7FA0vqznfb97Ct3j9r0PPL79v6sJfrer+WO6799cbzU//6M5kwedetrmHMuWnbtwAAjKgTao+XlmW5fEc2KstyWVEUlyR5VpITdzgZAAAAAAAAtAjFIFpfV/faJKOyFNTem71SX/7pLwDNS+JdnwDAqLVu1Yq688nTZ2/3HlOmz9ns2vp1a4ad6bHM/9V3Nst7zGmvzbjx47e6bu3Kh+vOJ+46fav3T5o6o+58zcqHHvPeVcvuz6+/3LHxfN7TXpR5T/vzre7PmKQYBABU7bAkZZJrG7TftekrBh3eoP0AAAAAAABg1FMMgoq192Z2Nk37GXzM2MpSAIBRa8rMPfLgnQs2nq9e8eB277F6+QN15+MnTMyUGZuXhXbUtT/7cv2Fosixp79+m+t2mTil7nz9urVbvf/RQaWmwesH+tW/d2TVw/clSSZMnppT/+Yz28zDmDS/6gAAwJi3W+2xUR/c1L/P9n+yAAAAAAAAALQoxSDYCdp7MyObpv0MLv/4S2wAYMzZ54jjs+RPl248f/CO+Vn50D2ZOmvPIe9x+3W/rt/zyBMzbnxjX+Lcf9sNWXLDZXXX9j/ulMza55Btrp08qKS04oElW71/5f131Z0/Vsnpjut+m+t6v7rx/Gmv+VBm7HnANvMw5pRJFmzzLgCAnaNRv6j7Ow0AAAAAAAAYxF+iQYO092ZqknnZVPgZWAIa+jtcAQDGgKNOPTtX/c8/bTwvN2zIFf/58Tz7zf9vSOvn/+a/88BtN9RdO+6MNzY0Y7KFaUHJkKYFJcmMPQ/IpGmzsmbFQ0mSu+f/bqv33z3/irrzPQ55/Gb3rH90XS767F8nZZkk2f3gY/OUM985pDyMOXf2tGVl1SEAgDHvviRz07g/H92j9nh/g/YDAAAAAACAUU8xCLZTe2/mJDk5mxeA9q0yFwDAaLL34U/JEc86K/N/9Z2N1676/j9n5t4H50kvfvtW1y7+/cX52adeV3dt7nHPylHPfnVDM65/dF3+dPE3665NmjYrh5/00iGtL4oi+x/7rCy87AdJktv/+IusuP+uTJuzzxbv/9PPv1V3fsDjn73ZPVee9+ncd+t1/d8gp73tXxs+JYmWcVPVAQAAkixJsn+SExu0X/8+dzZoPwAAAAAAABj1xlUdAEah45L8T5LuJG9M8qwoBQEAbLe2d3wxex325E0XyjI//8I7cu67Ts71F30zDy1ZlHVrVmX9urVZcf+SLLzsh/nRR8/Kd993WtatWrFx2V7znpQXffC8FOMa+/Jm0eU/yiMP3VN37ahnvzq7TJw85D2O+7M3bfx6/bq1+fkX3rHF+xZe+oPc8rufbjzf96inZY9Djqu75+Gli3PZtz+88fzY570++x3z9CFnYcyZX3UAAIAkv6k9Pr4oioN2ZKOiKA5O8sQk5YB9AQAAAAAAYMzz0dKw/bzBDgCgASZNnZmzun+Riz//tlx/0TeSskyS3Hn9b3Pn9b/d5vpdJk3JE//8rXnGOR/errLOUF13wVc2u3bs6W/Yrj0OfuoZ2f/xz87tf/hFkuSm33w3P/jwmTnx1R/MnAOOzurl9+f6i76Zy771DxvXFOPG5Zmv79psr59//m15dM0jSZIpM3ff4j0wgIlBAEAz6E3yniRFkg8nOWcH9vpwbZ+yti8AAAAAAAAQxSDYbj1tWdLem+VJpledBQBgtJu46/Sc8Z6v5ckveWf+8JMv5sZfnps1Kx7a6ppi3Pg88c/fkhNf9XfZddYeI5Jrxf1LcsuVP6u7tue8J2aveU/crn2KosgZ7/l6/vM9J2fZ0sVJkgWX/E8WXPI/j7nm5Nd9PHOPPbnu2oJL/ieLLv/RxvNnvaEnU2bM3q4sjDk+0AAAqFxZlhcVRXFtkmOTnF0UxeVlWX5+e/cpiuJvkpydvlLQtWVZXtTgqAAAAAAAADBqKQbB8NyU5MlVhwAAaAVrVi7LrVf3Zsn1l2yzFJQk5Yb1ufr7n8ntf/hlTnjl+3LkKa9seKbrer+WcsP6umvHPu/1w9prxp7751WfviQ/6XpNbv/jLx/zvknTZuWUN34yx55e/33WrlqRn3/hHRvP5x77zDyu7bWbrd+wfn0WXNpXIHrwjvlZveLBTJo6K7PnHp5Djn9BDj/5pRk33kvAMcTEIACgWXwgyQ9rX3+2KIojk7yvLMuV21pYFMWuST6R5C2D9gMAAAAAAABqvCsMhmd+FIMAAHbYgku/n95/elNWPXxv3fUZex2YfY44IbvutleKYlxWPXxv7l5wZR68Y1PX4d5b/pjzP/6q/Onn387zO7+dSVNnNCRTWZa57oKv1F3bZeLkHHXq2cPec/ru++Wsnl/k1qsuzILfnpeli36fVcvuy4RJu2b6ngfkoCe15ejnvCZTZszZbO0l3/hQlt97e5Jk3C4T8ty3fWGze+5ecFV+2vMXuX/x9Zs/N/+K/Onib2X2t47MGe/5evY58vhh/xyMGmuT3Fp1CACAJCnL8vyiKHqStKdv4s9bkpxTFMW3k/w8ydVJ7k+yPMm0JHOSPCnJqembEjQjSVFb21OW5Y93+g8BAAAAAAAATUwxCIZnftUBAABGu6t/8Nn8/PNvr7u271FPyzPf0J25jztpi2vuWXRNfvPV9+eW3/1047Wb//f8nPeB0/PyroszYdKUHc51+x9/lYfuWlR37bBnnJnJ02bt8N4HPfm0HPTk04Z8/z2L/pCrv//PG8+f8tJ3Z/cDj667587rL8l5f3dG1j6yfKt7PXD7jfmvzlPz0o/8NHOPPXn7gjPaLOppy/pt3wYAsNO8N8mu6SsFlekr+7y5dmxNMeDrz5dl+d6RiQcAAAAAAACj17iqA8AopRgEALADbr3qwvz8C++ou3bUqWfnlZ/69WOWgpJkz0OfkDP/8cd5ysveU3d9yQ2X5TdfeV9Dsl13wZc3u3bs6W9oyN7boyzLXPjZN6fc0NfvmLHXQXna2X9fd8/q5Q/m/I+9sq4UdNwZb8zrvnRD/vZHq/OXX56f4/7sTRufW7d6Zc7/xKuyevmDO+eHoCperwAATaXs87b0TQBaUrtcDOFIkjuTnF1bDwAAAAAAAAyiGATD4412AADDVG7YkIv+5W+Sstx4bc4BR+f0d30l48Zve6hpURR51hu6c8ATTq27fs2PPpdl99y+Q9nWrHw4N/32vLprM/c5JPs//pQd2nc4/vDjL+auGy7feP6ct/zLZhORrjzvU1l+3x0bz5985rvS9rf/ljkHHJldJk7K7LmHp+0dX8yTXryphLXivjtz5XmfGvkfgCrdVHUAAIAtKcvy3CSHJHlDkh8leegxbn04yfm1+w6prQMAAAAAAAC2QDEIhuemJBuqDgEAMBrdctUFeWjJwrprJ7zyfRk/YeKQ9yiKIk97zYfqrm1Y/2j+dPE3dyjbDb84N4+uWVV37di2v0xRFI+xYmSsfOie/OarmyYgHfaMl+TQE55fd0+5YUP+8JN/23g+ZeYeOekv/nGL+530uo9myow5G8//8JN/S7nBr7MtzAcZAABNqyzLdWVZfqUsyxclmZNkvyTHJTmp9rhfktllWf557b51FcYFAAAAAACApqcYBMPQ05ZHkizc5o0AAGxm8dUX1V8oihz81D/b7n32O/oZmTR1Zt21O6//7Y5Ey7UXfLk+2rjxOabttTu053D88ovvypoVfR+ePmHKtJz615/Z7J77br0uqx6+d+P5Yc94SSZM3nWL+02cPDWHPePMjeerHr439y2+vsGpaSImBgEAo0LZ566yLK8ry/LS2uNdZTlgvCgAAAAAAACwVYpBMHy/rzoAAMBo9PBdi+rOJ02dmSkzZm/3PuPGj8+MvQ6qu7bivjuHnevem/+YpTddWXftoKc8L9N332/Yew7Hbdf8PDf8/Nsbz5/xf/5vpu8xd7P7li6q/3V078OfutV9Bz9/z6JrdiAlTe7GqgMAAAAAAAAAAAA7h2IQDJ93UgIADMO6NY/Une8yccqw95owqX5Czvp1a4a91+BpQUly3OlvGPZ+w7F+3dpc9Nm/2Xi+x8HH5UkvfvsW71297P6682lz9t3q3lMHPb9q2X3DTEmTu7OnLf7HBQAAAAAAAACAMUIxCIbPxCAAgGGYPL1+OtDq5Q+kLMth7fXIQ/fUnU+Zufuw9nl07Zr86eJv1V3bddaeOeSEFwxrv+H63+98Ig/cMb/vpChy2tv/NePG77LFex9ds6rufPyESVvde5dBzw9eT8u4uuoAAAAAAAAAAADAzqMYBMOnGAQAMAxTd9u77nz9ujVZunD7uwwrH1yah+6+uX7v2fsMK9PCS7+f1csfqLt29HPPyfhdJgxrv+F48M6FueI7H994ftwZb8y+Rz/tMe+fOHVm3fnaVcu3uv/g5ycNWk/L8DoFAAAAAAAAAADGEMUgGKaettyT5O6qcwAAjDb7Pe6kza5dd8FXt3ufa3/25WTQpKH9jztlWJmuveDLm1079nmvH9Zew3Xx596SR9euTpJMmblHnvmXn9jq/dN336/u/KE7F271/geX1D8/bdB6WoaJQQAAAAAAAAAAMIYoBsGO8WncAADb6aAnnZbxEybVXbv2Z1/Kkj9dNuQ97rv1+lzxX/XFmWLcuBxy/PO3O8+ye27LbddcXHdt36OfnjkHHLndew3Xjb/8z9x6Ve/G81Pe+MlMnr7bVtfsc+QJdeeLB/0Mg932+0E/45EnbmdKRgnFIAAAAAAAAAAAGEMUg2DHXFN1AACA0WbS1Jl5wgvfUndt/bq1+d7fvyC3/O5n21x/5/WX5L/f35a1jyyvu370c87JzL0P2u481/V+NeWGDXXXjj39Ddu9z3CtWbksv/jiuzae73/cKTnmtHO2uW7anH2z1+FP2Xi++OoLc/9tN27x3vtvuyGLf3/RxvO9jzg+U2fvvQOpaVL39bTl9qpDAAAAAAAAAAAAO49iEOwYE4MAAIbhxFd9IDP2OrDu2urlD+S8vzsj//3+5+X6C7+RB26fn9XLH8yalQ/nwTsX5oZfnJvv/8OLc+67T86K+5fUrZ06e++c9NqPbHeOsixzXe9X665N3HV6jnjWK7b/hxqm33z1/Vn5wF1JkvETJua5b/vCkNc+5SXv3Ph1uWF9ftz16qxa9kDdPauXP5gfd52dcsP6TevOfFdoSV6fAAAAAAAAAADAGLNL1QFglDMxCABgGKbMmJ2Xfaw3//nuk/PIQ/fUPXfrVb259areIe81adqsvPQjP8v03ffb7hyLr74oy5Yurrt2xDPPysTJU7d7r+G4+6Yr84cfbyoCPeWl78mcA44c8vqjTn11rr/4m7n1yr5JS/cs/H2+9lfH5JjTXpuZex+cZUsX5/oLv1ZXpDr0xBfmyFPOatwPQTO5uuoAAAAAAAAAAADAzqUYBDtmYZIVSaZVHQQAYLSZPffwnPP5a9L7T2/MzVf8eFh7HPCEU3P6u7+WGXvuP6z1117w5c2uHXv664e11/basH59LvzMm1Nu2JAkmbnPITnx1X+33fu84H3n5nsffH6W/OnSJMnKB+7OFd/5xBbvnfu4k/NnHd8cfmianWIQAAAAAAAAAACMMeOqDgCjWU9byiR/qDoHAMBoNW3OPjnzH8/PKz/56xx16tmZuOuMba6ZMGVaDjvppXn5Jy7Kyz9x0bBLQauWPZCFl36/7tqcA47OvkedOKz9ttc1P/pcli64auP5c97yL5kwacp27zN52qy8ouviPOOcDz/mP7+Ju87IM875cF728d5Mmjpz2Jlper+vOgAAAAAAAAAAALBzmRgEO+6aJM+oOgQAwGg299iTM/fYk1OWZR64fX7uveWPWb38gaxZ+VBSlpk4dWamTJ+dOQcek90PPCbFuB3/jIMpM2bnneevbkD64dmwYX2e9poPJUmmztorhzz1jGHvtcvEyXna2R/M8a/ozB3X/SYP3DE/a1Y8lEnTZmX2fodn7rHPzPgJExsVnea0LH0TTQEAAAAAAAAAgDFEMQh2nE/lBgBokKIoMueAIzPngCOrjjLinnLmOxu+5/gJE3PgE5+TA5/4nIbvTdO7pjbRFAAAAAAAAAAAGEN2/GO2gWuqDgAAAIx5V1cdAAAAAAAAAAAA2PkUg2DHXZfk0apDAAAAY5pJpgAAAAAAAAAAMAYpBsEO6mnLmiR/qjoHAAAwppkYBAAAAAAAAAAAY5BiEDTGZVUHAAAAxqxVSW6oOgQAAAAAAAAAALDzKQZBY1xSdQAAAGDM+mNPW9ZXHQIAAAAAAOD/s3fnUZaVhbmH3w8HNGicNTGziYnRGxOybq4aXYlTti5nvcaoiaJxildNFEJUnAfAuFGDQsQ4MGlQARGnKCgioCJoEFAkCiIoMjUCQjN0Q3/3j3PQY1HdXdV1qr4zPM9avTi1a5/v/Fj+IWi9tQEAgLVnGATjcULrAAAAYG59pXUAAAAAAAAAAADQhmEQjEHf5Zwk57fuAAAA5tJxrQMAAAAAAAAAAIA2DINgfL7cOgAAAJg7NZ5gCgAAAAAAAAAAc8swCMbHMAgAAFhrZ/Zd1rWOAAAAAAAAAAAA2jAMgvHxW7oBAIC1dnzrAAAAAAAAAAAAoB3DIBifU5Nc1ToCAACYK4ZBAABjVEq5RSnlYaWUPUspXyilnF9Kua6Usr6Ucm4p5chSygtKKTss89w/LKW8rZTyrVLK5aWUq0op/1NK2a+U8mfb0PkbpZQ3llL+u5RyaSnl6lLK2aWUg0spD9uG8+5USnl5KeXEUsrFpZRrSyk/KKV8rJTypOWeBwAAAAAAwNoxDIIx6bvckOTE1h0AAMBcMQwCABiTUsoLklyY5PNJXpHkoUnunuSWSX4pyW8meVyS/ZKcXUp57BLP3TXJN5PsnOQ+SW6XZIckv5/kBUlOLKX0pZSyxPP+Lsm3k7wmyY5J7pjk1knukeTvknx+OBC61RLP64bnvSXJ/ZLcJcn2SX4ryROTHF5K+Wwp5U5LOQ8AAAAAAIC1dfPWATBjTkjy8NYRAADAXDiv73Ju6wgAgBly48gmSWqSbyX5apLzh9fuk+SxGYxw7pbk46WUp9ZaD93cgaWUlyV568ilk5Ick2RjkgdmMD7aLsk/D/+6y5YCSyn/N8mB+fkvfvtOkk9n8DT7P03y6CQ3y2AgdKtSylNqrXUL5/15kiOT3DgiOi/JEUkuTXLvDIZB2yd5RJJPlFIeVmu9dkuNAAAAAAAArC3DIBivE1oHAAAAc8PTggAAxu+iJPsmObDWet7Cb5ZSfjXJR5M8KINxzn+UUr5Ya123yL33StKPXHpRrfXfF9zzhOF5t0iycynlk7XWYxcLGz6x5/35+SjorUleMTr8KaU8MIOh0O2SPDnJTkkO2Mx5t0zywfx8FPShJM+utW5c8PdwVJLfSPLnGTxJ6fWLnQcAAAAAAEAb2239FmAZTkxyfesIAABgLhgGAQCM1/uT3KPW+qbFRkFJUmu9IIOn8lwwvHT7JE/fzHlvzODpPUny/oWjoOF5H0/yppFLe26h7+UZDH6S5Au11pcvfBpQrfXLSV4yculNpZTN/ZK45yb5neHrM5L8/egoaHjemUn+duTSLsOBEgAAAAAAABPCMAjGqO+yPsmprTsAAIC5YBgEADBGtdaTa61XL+G+nyY5aOTSAxbeU0q5bZLH3fiWJHts4ci9k1w1fH3/UsrvLXJeyS8OdN68hfM+lOQHw9e/nuTBm7nvGSOv+1rrhsVuqrUen+S44Ze3SfLELXw2AAAAAAAAa8wwCMbvhNYBAADAzLs0yXdaRwAAzLFzRl7fcZHvPzLJ9sPXp9Rav7+5g4ZDo6NHLj1+kdv+d5K7D1+vS/KlLZy3KckRWzqvlHLXJPcbfrnw/sUcvpU+AAAAAAAAGjEMgvEzDAIAAFbbCX2X2joCAGCO/drI60sX+f6OI6+/vITzRu/ZcZHvj177aq11a/8suLXz/iRJGb7+dq31ihWeBwAAAAAAQCOGQTB+hkEAAMBqO651AADAnHvSyOvF/jfhe4+8PmsJ543ec+9Fvj9J5/1aKeV2S3gPAAAAAAAAa+DmrQNg1vRdLtz1qJyd5HdbtwAAADPr+NYBAADzqpTy7CT3GX750yQfWeS2Xxl5ff4Sjh2951cW+f5KzrtDKeWWtdYN23perfWKUsr6JDsML90tydaeMnQTpZS/T/LsJdx63+WeDQAAAAAAMK8Mg2B1HB3DIAAAYHWsT3JK6wgAgHlUSrlnkrePXHpDrfXSRW69zcjr9Us4+uqR17cd83k3njnaudzzbjzzxmHQYo1L8ZtJHrSN7wUAAAAAAGARhkGwOj6X5B9aRwAAADPpq32X61tHLEUp5VlJ9l9w+SG11mNXeO6xSf5y5NK5tdbfXsmZAABbU0q5Q5JPJrn98NJRSd6xmdtvPfJ6w2buGXXtZt47jvMWO3O55y08c7HGpTgvyQlLuO++SX55Gz8DAAAAAABgrhgGwer4QpKNSW7ROgQAAJg5R7cOAACYN6WUHZJ8OskfDC+dkeTptda6mbdcM/L6lkv4iFtt5r3jOG+xM5d73sIzF2vcqlrrB5J8YGv3lVKOjycLAQAAAAAALMl2rQNgFvVdrkzy1dYdAADATPpc6wAAgHlSSrl1Bk8KesDw0veSPLzWeukW3nbVyOsdlvAxvzTy+soxn7fYmcs9b+GZizUCAAAAAADQgGEQrB4/rAcAAIzbhUlOax0BADAvSim3SnJkkocML52T5KG11gu28tYLR17/2hI+avSei8Z83uW11g0rOa+Ucrv84oBosUYAAAAAAAAaMAyC1fPZ1gEAAMDMObrvUltHAADMg+Eo6ONJ/mp46dwkD6m1/mgJb//OyOvfXcL9o/ecMeHn/bjWesUS3gMAAAAAAMAaMAyC1XNKkotbRwAAADPFk0kBANZAKWX7JEckecTw0g8zGAWdu8QjThl5/cAl3P+gzbx3sWsPGMN530x+Njj/X6WUX17heQAAAAAAADRiGASrZPhbvI9q3QEAAMwM/44BALAGhqOgjyV55PDSjzIYBZ2zjGM+m2TD8PWOpZTf2cLn3TbJw0cuHbnIbScnuWD4+i6llL/cwnnbJXnCls6rtV6U5KThl9sleeLmzht60lb6AAAAAAAAaMQwCFaX3+YNAACMyyl9l0taRwAAzLJSyi2THJ7kUcNL52cwCjp7OefUWn+a5JPDL7dL8sot3P6PSW47fP21Wuv3FjmvJvnPkUu7beG8pyW5cYh0fpIvbua+D4683nX4934TpZQHJrlxiLQ+gycpAQAAAAAAMCFu3joAZtxRGfxW79I6BAAAmHp+8cAYlVJunuT3ktwryd0z+GHckuSyJJcmOWW5PwC8jR1/mGTHYcP2SX6S5PQkJ9Zar1/C+7dL8qdJ7pvkLkk2JbkoyddrrWesVjcAzKJSyi2SHJbk0cNLP85gFHTWNh75mgye3HOzJM8rpfx3rXW/BZ/5+CSvHbm0pcHPW5I8L8kvJ+lKKXskedVwNHTjeQ9Iss/Ie167hX+meG+SXZL8dpL7JHlfKeU5tdaNI+f9QX5xkPT2Wuu6LTQCAAAAAACwxgyDYBX1XS7e9aicksEPaQEAAKzEZ1sHTLtSyj2TPCnJw5L8eZIdtnL/RUkOSfKOWut5y/ysB2fBb+evtZbh97ZL8vwkOye552aOuKiU0ifZe7Ef5i2l3CbJy5K8MMmvbqbhzCQvr7V+YjntADDH9k3y2JGvP53k8aVs9fc+XVFrfe/Ci7XW75RSXpGkH156dyllpyTHJLkhyQOSPHyUlH+0AAAgAElEQVTkLXvXWo/Z3IfUWteVUp6X5MMZDJpfmeRxpZRPJ7k6g7HxYzIYIiWDJ/scsIXzriulPDPJ0RkMlJ+R5C9KKR/LYKx87wz+2Wn74VtOTLLn5s4DAAAAAACgDcMgWH2fi2EQAACwMpcn+UrriGlWSjkgyU7LfNvdkrw0yYtLKa+otb5tDB13SfKxJA9awmfvleRRpZQn1FqvHDljxySHJvndrZxxryRHllLeVmv95xVkA8C8+P0FXz9vie87N4On79xErXWvUsrNkrwpyS2S3H/45xduS/JvSbb639e11o+WUm6VwYjpNhk86ec+i9x6SJLn1Fo3beW840spT0hyYJK7JvmtDMbHC30+ydNqrddsrREAAAAAAIC1tV3rAJgDn2sdAAAATL2j+i43eWoMy/LrK3jvzZPsVUr595UElFLukMFThLY2Chr10CT/OXLGnw3P2NooaNQupRTDIABopNb6r0n+JIPxzxlJrkyyPsn3MhgU3b/WuvPWRjwj5x2UwRho9ySnZjAivzbJORn8c0NXa336Ukc8tdbPDs/bLclJSdYluS7JD5N8PMmTh2euW9LfMAAAAAAAAGvKE4Ng9X0lg/+j97atQwAAgKn16dYBM+SKJMcmOS7Jd5KcPbx2VZJbJ7lzBj8Y+6gkf5Nkh5H3vrCUclKt9YBt/OwP5Oe/0f/HSfZJclQGP3S7MYPf0P+EJLtk8ASAGz2mlPK0JF/I4Idzbze8/o0Mfpj4uCQXZvAUgnsleXYGT0cqI2e8sZRyeK31nG1sB4CZV2t98CqefUYWfxLPtp53XpJXD/+M47x1SfYc/gEAAAAAAGCKGAbBKuu7bNz1qByT5PGtWwAAgKlUk/xX64gZ8MUk+yb5ZK11c09fWp/Bb8g/M8nhpZRXJ9k/ySNG7ulLKR9Z6m/gX+AJw78enOQfaq1XL/j+ZUm+WUo5LMmXktxx5HuvHL7/7kk2Jdk5yTtrrXXBGRcnOa6UckySg0au3zrJi5J4chAAAAAAAAAAwAzZrnUAzInPtg4AAACm1sl9l0taR4zRF0spdSV/kvzlcj+01rp7rfWILYyCFnvPBUkek+Tkkct3TvKM5X7+iMOS7LTIKGj0c7+VZLcFl/8oyVOGr/+p1rr3IqOg0TMOTnLogsvPKKWUxe4HAAAAAAAAAGA6GQbB2jAMAgAAttWnWwfMs+GQ6PULLj9uG4/7aZLnb2nQM+LgJFctcv24Wus+S/y8fRd8fdck91jiewEAAAAAAAAAmAKGQbAG+i4/SHJK6w4AAGAqfaZ1APnqgq/vv41P3tm/1nrZUm4cPlHo5EW+9fZlfN6Xk2xYcO1PlvF+AAAAAAAAAAAm3M1bB8AcOTzJjq0jAACAqXJhkm+0jhizQ5Kct8Iznp7kN1YaUkq5Y5I/SnLPJLdLctsk2yfZ2ujnTknulsF/Psux3KfJ/k+Sh4x8fX2Szy/1zbXW60sp309yr5HLd11mAwAAAAAAAAAAE8wwCNbOYUne3DoCAACYKh/ru9TWEWP2H7XWY1dyQCnl/tnGYVAp5S5JnpvkqUnuu4KMO2T5w6BTl3n/FQu+PrvWun6FZ9xume8HAAAAAAAAAGCCbdc6AOZF3+V/kny7dQcAADBVDm0dMEtKKf8vyXeT7JGVjYKSwTBouX6yzPuvXeH7FzvjVttwBgAAAAAAAAAAE8owCNbW4a0DAACAqXFxkuNaR8yKUsq/Jtk3ye3HdOQtl/uGWut1K/zMDSt8PwAAAAAAAAAAM8YwCNaWYRAAALBUH+u7bGodMQtKKU9O8i+LfOtrSV6f5FFJ/ijJnZPcJsnNaq1l9M+axQIAAAAAAAAAwDLcvHUAzJO+y2m7HpXvJbln6xYAAGDiHdo6YBaUUkqSvRZcvjTJ02qtRy/xjB3GHgYAAAAAAAAAAGPgiUGw9jw1CAAA2JpLknypdcSMuF+S31pw7ZlLHQUN3WGMPQAAAAAAAAAAMDaGQbD2DIMAAICtOaLvckPriBnxFwu+PrvW+pllnnGfccUAAAAAAAAAAMA4GQbBGuu7fD3Jua07AACAiXZo64AZ8qsLvj5tG85YOC4CAAAAAAAAAICJYBgEbXysdQAAADCx1iU5tnXEDNlhwdcblvPmUsotkjxrbDUAAAAAAAAAADBGhkHQxuGtAwAAgIn18b7L9a0jZsilC76+1zLf/5Ikdx9TCwAAAAAAAAAAjJVhELTxlSQ/bh0BAABMpENbB8yYby/4+o9LKf9nKW8spdw/yR7jTwIAAAAAAAAAgPEwDIIG+i41yRGtOwAAgIlzaZJjWkfMmKOSmzyB6ZBSym9v6U2llCcmOTrJ9quTBQAAAAAAAAAAK2cYBO0c3joAAACYOEf23U1GLKxArfXiJB9YcPkeSU4tpexeSrlfKeVOpZTbl1L+oJTy7FLKMUk+luQ2w/vfu5bNAAAAAAAAAACwVIZB0M5xSda1jgAAACbKoa0DZtRuSc5acO2Xh9dPzODfzS5LcmYGI6KHjNx3QpJ/WoNGAAAAAAAAAABYNsMgaKTvckP80B8AAPBzlyX5QuuIWVRrvTTJI5J8a5lvPTTJI2ut14y/CgAAAAAAAAAAVs4wCNo6sHUAAAAwMY7su2xsHTGraq3fT3K/JK9JcvGWbs3gCa+PqbU+pda6fi36AAAAAAAAAABgW9y8dQDMs77L13Y9KmcmuVfrFgAAoLlDWgeMW631gCQHrMK5D97G912d5M2llD2S7Jjkj5PcOcktkvw0ydlJTqq1rlvkvWWZn3VskmW9Z5EzXp/k9Ss848EreT8AAAAAAAAAAJPNMAjaOzDJnq0jAACApn6Y5POtI+ZFrXVTkm8M/wAAAAAAAAAAwNTarnUAkIOTbGodAQAANHVQ3/n3AgAAAAAAAAAAYHkMg6Cxvsv58ZvBAQBg3h3QOgAAAAAAAAAAAJg+hkEwGQ5sHQAAADRzfN/lrNYRAAAAAAAAAADA9DEMgslwRJKfto4AAACa2L91AAAAAAAAAAAAMJ0Mg2AC9F2uSfLR1h0AAMCaW5/k0NYRAAAAAAAAAADAdDIMgslxYOsAAABgzR3ad7mqdQQAAAAAAAAAADCdDINgQvRdTkhyVusOAABgTe3fOgAAAAAAAAAAAJhehkEwWQ5qHQAAAKyZs/sux7WOAAAAAAAAAAAAppdhEEyWg5LU1hEAAMCaOKB1AAAAAAAAAAAAMN0Mg2CC9F3OTXJs6w4AAGDVbUpyYOsIAAAAAAAAAABguhkGweTxw4EAADD7vtB3+WHrCAAAAAAAAAAAYLoZBsHkOSzJVa0jAACAVbV/6wAAAAAAAAAAAGD6GQbBhOm7rE9yaOsOAABg1Vye5IjWEQAAAAAAAAAAwPQzDILJtG/rAAAAYNV8uO9ybesIAAAAAAAAAABg+hkGwQTqu3wjyddadwAAAKviA60DAAAAAAAAAACA2WAYBJNrn9YBAADA2J3Udzm5dQQAAAAAAAAAADAbDINgcn00ycWtIwAAgLF6V+sAAAAAAAAAAABgdhgGwYTqu2xI8t7WHQAAwNhclMEvAAAAAAAAAAAAABgLwyCYbPslub51BAAAMBbvGf4CAAAAAAAAAAAAgLEwDIIJ1nf5UZIjW3cAAAArtjGD4T8AAAAAAAAAAMDYGAbB5NundQAAALBih/VdLmgdAQAAAAAAAAAAzBbDIJhwfZdjk3yrdQcAALAi72wdAAAAAAAAAAAAzB7DIJgO+7YOAAAAttnJfZcTW0cAAAAAAAAAAACzxzAIpsPBSa5oHQEAAGyTd7UOAAAAAAAAAAAAZpNhEEyBvsv6JAe27gAAAJbtoiQfaR0BAAAAAAAAAADMJsMgmB77JqmtIwAAgGX5j77LhtYRAAAAAAAAAADAbDIMginRd/lukqNbdwAAAEu2Mcm7W0cAAAAAAAAAAACzyzAIpss+rQMAAIAlO6zvckHrCAAAAAAAAAAAYHYZBsF0+XSSs1tHAAAAS/Ku1gEAAAAAAAAAAMBsMwyCKdJ32ZRkr9YdAADAVn297/LV1hEAAAAAAAAAAMBsMwyC6bN/kgtbRwAAAFv0ztYBAAAAAAAAAADA7DMMginTd7kuyTtadwAAAJv1gySHtI4AAAAAAAAAAABmn2EQTKd3J7m8dQQAALCot/Zdrm8dAQAAAAAAAAAAzD7DIJhCfZcrk+zbugMAALiJC5J8oHUEAAAAAAAAAAAwHwyDYHrtneSa1hEAAMAveHvf5brWEQAAAAAAAAAAwHwwDIIp1Xe5JMn7WncAAAA/85Mk+7WOAAAAAAAAAAAA5odhEEy3vZJsbB0BAAAkSfbuu1zVOgIAAAAAAAAAAJgfhkEwxfou5yX5z9YdAABArkzyrtYRAAAAAAAAAADAfDEMgun3r0lq6wgAAJhz7+67XNY6AgAAAAAAAAAAmC+GQTDl+i7fSfLx1h0AADDHrk3y9tYRAAAAAAAAAADA/DEMgtmwR+sAAACYY+/ru1zUOgIAAAAAAAAAAJg/hkEwA/ouX0/y+dYdAAAwhzYmeWvrCAAAAAAAAAAAYD4ZBsHs2LN1AAAAzKEP9l1+2DoCAAAAAAAAAACYT4ZBMCP6LsckOal1BwAAzJFNSd7SOgIAAAAAAAAAAJhfhkEwW3ZvHQAAAHPk0L7Ld1tHAAAAAAAAAAAA88swCGZI3+UTSU5u3QEAAHOgJtmjdQQAAAAAAAAAADDfDINg9rymdQAAAMyBI/sup7WOAAAAAAAAAAAA5pthEMyYvsvnkhzfugMAAGbYpiSvah0BAAAAAAAAAABgGASz6dWtAwAAYIYd3Hc5o3UEAAAAAAAAAACAYRDMoL7LcUmObt0BAAAz6Lokr20dAQAAAAAAAAAAkBgGwSzz1CAAABi/d/ddzmsdAQAAAAAAAAAAkBgGwczqu5yU5BOtOwAAYIZcmWT31hEAAAAAAAAAAAA3MgyC2fbqJJtaRwAAwIzYq++yrnUEAAAAAAAAAADAjQyDYIb1XU5P8qHWHQAAMAMuTvL21hEAAAAAAAAAAACjDINg9r02yYbWEQAAMOV277tc1ToCAAAAAAAAAABglGEQzLi+yw+SvLt1BwAATLFzkuzXOgIAAAAAAAAAAGAhwyCYD7snubJ1BAAATKnX9Z2ncAIAAAAAAAAAAJPHMAjmQN/lkiR7te4AAIApdHqSD7WOAAAAAAAAAAAAWIxhEMyPtye5uHUEAABMmd36LptaRwAAAAAAAAAAACzGMAjmRN/lqiRvat0BAABT5IS+y6daRwAAAAAAAAAAAGyOYRDMl/ckObN1BAAATIlXtg4AAAAAAAAAAADYEsMgmCN9l41JXtq6AwAApsCn+i4ntI4AAAAAAAAAAADYEsMgmDN9l88l+VTrDgAAmGAbkuzSOgIAAAAAAAAAAGBrDINgPr0sgx92BAAAbmrvvst3W0cAAAAAAAAAAABsjWEQzKG+y1lJ/q11BwAATKALkrypdQQAAAAAAAAAAMBSGAbB/HpzkgtbRwAAwIT5l77Lla0jAAAAAAAAAAAAlsIwCObU8IcdX9G6AwAAJshX+i4fbB0BAAAAAAAAAACwVIZBMN8OSnJS6wgAAJgAm5K8uHUEAAAAAAAAAADAchgGwRzru9QkL0lSW7cAAEBj7+u7nNI6AgAAAAAAAAAAYDkMg2DO9V1OyuDJQQAAMK8uS/Kq1hEAAAAAAAAAAADLZRgEJMkrklzZOgIAABp5Td9lXesIAAAAAAAAAACA5TIMAtJ3uTDJ7q07AACggdOS7Nc6AgAAAAAAAAAAYFsYBgE3ekeSs1pHAADAGntJ3+WG1hEAAAAAAAAAAADbwjAISJL0XTYk2bl1BwAArKEP912Oax0BAAAAAAAAAACwrQyDgJ/pu3wyyedadwAAwBpYn2TX1hEAAAAAAAAAAAArYRgELPTiJNe2jgAAgFW2R9/lR60jAAAAAAAAAAAAVsIwCPgFfZezkryxdQcAAKyis5O8rXUEAAAAAAAAAADAShkGAYvpk5zaOgIAAFbJC/ou17WOAAAAAAAAAAAAWCnDIOAm+i7XJ3lukhtatwAAwJh9oO/yhdYRAAAAAAAAAAAA42AYBCyq7/L1JHu37gAAgDG6IMkurSMAAAAAAAAAAADGxTAI2JLXJDmndQQAAIzJi/oul7eOAAAAAAAAAAAAGBfDIGCz+i5XJ3lB6w4AABiDw/suR7SOAAAAAAAAAAAAGCfDIGCL+i5HJzmodQcAAKzAZUle1DoCAAAAAAAAAABg3AyDgKV4WZKLW0cAAMA22qXvclHrCAAAAAAAAAAAgHEzDAK2qu/ykyQvbd0BAADb4Oi+y/6tIwAAAAAAAAAAAFaDYRCwJH2XQ5J8pnUHAAAsw/okz28dAQAAAAAAAAAAsFoMg4DleGGSq1pHAADAEr267/KD1hEAAAAAAAAAAACrxTAIWLK+y3lJXtW6AwAAluDEJO9sHQEAAAAAAAAAALCaDIOA5dongx+yBACASbUhyXP6LptahwAAAAAAAAAAAKwmwyBgWYY/XPncDH7YEgAAJtEefZczWkcAAAAAAAAAAACsNsMgYNn6Lt9O8prWHQAAsIjTk+zROgIAAAAAAAAAAGAtGAYB22qvJF9qHQEAACOuT/LcvsvG1iEAAAAAAAAAAABrwTAI2CZ9l01JnpnkitYtAAAwtHvf5aTWEQAAAAAAAAAAAGvFMAjYZn2X85K8uHUHAAAkOSnJm1tHAAAAAAAAAAAArCXDIGBF+i4fTPLh1h0AAMy19Un+ru9yfesQAAAAAAAAAACAtWQYBIzDC5P8qHUEAABza5e+y/daRwAAAAAAAAAAAKw1wyBgxfoulyfZKUlt3QIAwNz5VN/lPa0jAAAAAAAAAAAAWjAMAsai73JMkne07gAAYK5ckuS5rSMAAAAAAAAAAABaMQwCxmm3JKe3jgAAYG48r+9yUesIAAAAAAAAAACAVgyDgLHpu1yX5G+TXNe6BQCAmbdf3+XI1hEAAAAAAAAAAAAtGQYBY9V3OT2DJwcBAMBqOSPJzq0jAAAAAAAAAAAAWjMMAlbDO5Ic0zoCAICZdF2Sp/VdrmkdAgAAAAAAAAAA0JphEDB2fZeaZKckl7VuAQBg5ry873Ja6wgAAAAAAAAAAIBJYBgErIq+y4+SvLB1BwAAM+UzfZe9W0cAAAAAAAAAAABMCsMgYNX0XT6S5P2tOwAAmAkXJnlW6wgAAAAAAAAAAIBJYhgErLYXJ/lm6wgAAKZaTfKsvsslrUMAAAAAAAAAAAAmiWEQsKr6LtcmeXKSK1q3AAAwtXbvu3yudQQAAAAAAAAAAMCkMQwCVl3f5ewkz2rdAQDAVDo6yetaRwAAAAAAAAAAAEwiwyBgTfRdPp5kr9YdAABMlfOSPL3vsql1CAAAAAAAAAAAwCQyDALW0iuTHN86AgCAqbAhyV/3Xda1DgEAAAAAAAAAAJhUhkHAmum7XJ/kb5Jc1LoFAICJ99K+y0mtIwAAAAAAAAAAACaZYRCwpvouFyR5WpIbWrcAADCxDu67vLt1BAAAAAAAAAAAwKQzDALWXN/li0le27oDAICJdHqSf2gdAQAAAAAAAAAAMA0Mg4BW9kzyqdYRAABMlCuSPKnvcnXrEAAAAAAAAAAAgGlgGAQ00XepSZ6Z5AeNUwAAmAw1ybP6Lme1DgEAAAAAAAAAAJgWhkFAM32Xy5I8Ocl1rVsAAGiu77t8vHUEAAAAAAAAAADANDEMAprqu3wjyUtbdwAA0NQXk+zWOgIAAAAAAAAAAGDaGAYBzfVd9kvywdYdAAA08eMkT+273NA6BAAAAAAAAAAAYNoYBgGT4vlJvt46AgCANbUxyV/3XS5uHQIAAAAAAAAAADCNDIOAidB3uSbJ45Oc37oFAIA1s0vf5SutIwAAAAAAAAAAAKaVYRAwMfouP85gHHR16xYAAFbde/ou72odAQAAAAAAAAAAMM0Mg4CJ0nf5RpKdktTWLQAArJrPJ3lx6wgAAAAAAAAAAIBpZxgETJy+y2FJXte6AwCAVXFmkr/uu1zfOgQAAAAAAAAAAGDaGQYBE6nv8qYkh7TuAABgrNYleXTf5fLWIQAAAAAAAAAAALPAMAiYZH+f5MTWEQAAjMWGJE/qu3y/dQgAAAAAAAAAAMCsMAwCJlbf5dokT0hyXusWAABW7Hl9l+NbRwAAAAAAAAAAAMwSwyBgovVdLkryuCTrW7cAALDN9ui7HNQ6AgAAAAAAAAAAYNYYBgETr+9yapK/TVJbtwAAsGyHJnl16wgAAAAAAAAAAIBZZBgETIW+y5FJdmvdAQDAspycZKe+M/AGAAAAAAAAAABYDYZBwNTou7wlyYGtOwAAWJIfJnlc3+Wa1iEAAAAAAAAAAACzyjAImDbPT/Ll1hEAAGzRVUke23e5sHUIAAAAAAAAAADALDMMAqZK32VDkicm+V7rFgAAFrUpydP6Lqe2DgEAAAAAAAAAAJh1hkHA1Om7XJLkEUkuaN0CAMBN7Np3+VTrCAAAAAAAAAAAgHlgGARMpb7LOUkemeSK1i0AAPzMO/oub28dAQAAAAAAAAAAMC8Mg4Cp1Xc5Lcljk1zbugUAgByUZJfWEQAAAAAAAAAAAPPEMAiYan2X45M8NckNrVsAAObYJ5M8p+9SW4cAAAAAAAAAAADME8MgYOr1XY5M8oLWHQAAc+q4JE/pu1zfOgQAAAAAAAAAAGDeGAYBM6Hv8v4ku7XuAACYM99M8ri+y7WtQwAAAAAAAAAAAOaRYRAwM/oueyb5t9YdAABz4qwkj+y7XNE6BAAAAAAAAAAAYF4ZBgGzZuckH2odAQAw4y5I0vVdLmodAgAAAAAAAAAAMM8Mg4CZ0nepSZ6d5LOtWwAAZtRlSR7RdzmndQgAAAAAAAAAAMC8MwwCZk7fZWOSJyf5WusWAIAZc3WSx/RdTm8dAgAAAAAAAAAAgGEQMKP6LuuTPDrJma1bAABmxMYkT+67fKV1CAAAAAAAAAAAAAOGQcDM6rtcmqRL8qPWLQAAU64m2anv8l+tQwAAAAAAAAAAAPg5wyBgpvVdfpjkr5Jc1LoFAGCK/WPf5ZDWEQAAAAAAAAAAAPwiwyBg5vVdzkzy0CQXt24BAJhCr++77NM6AgAAAAAAAAAAgJsyDALmQt/ljAzGQZe0bgEAmCK7913e0DoCAAAAAAAAAACAxRkGAXOj7/LtGAcBACzV7n2XV7eOAAAAAAAAAAAAYPMMg4C50nf5VpKHJVnXugUAYIK92SgIAAAAAAAAAABg8hkGAXOn73J6BuOgS1u3AABMoDf1XV7TOgIAAAAAAAAAAICtMwwC5lLf5bQMxkE/ad0CADBB3th3eW3rCAAAAAAAAAAAAJbGMAiYW32XU5M8PMZBAABJ8oa+y+taRwAAAAAAAAAAALB0hkHAXOu7nJLkr5Jc1roFAKChN/RdXt86AgAAAAAAAAAAgOUxDALmXt/lvzMYB13eugUAoIHXGwUBAAAAAAAAAABMJ8MggCR9l2/EOIj/z96dR/l21nW+f+8w3hbabhDsddF2qbQ2qEiQGYJXoDd6tRkUuQ60tihL0Ss2Q4GKog2Y0OyGRuAioggoKDKEIJdWCkGGgDSDAa9MghKZhwAhJCEn075/VIVTOdYZc87Z9at6vdZ6Vj21f8/vW5+TZOVkndSnHgDYe35jGvuvS4cAAAAAAAAAAADg2CgGAWyaxt5RjdUXl84CAHASPHYae9zSIQAAAAAAAAAAADh2ikEAW0xjb2+jHOTmIABgN3vsNPb4pUMAAMBONAzDzYZhuO8wDE8YhuHVwzB8bhiG+ap1jDNvMQzDk4dh+LthGM4fhuHCYRg+MAzDs4ZhuN0xzPv6YRgeNwzD32zmu3gYhn8YhuGPhmG4xzHMu/EwDI8ehuGtwzB8ZhiGS4ZhOHcYhjOHYfjBo50HAAAAAADAyXPtpQMA7DTT2NvW1vue6tXVTZfOAwBwnP36NPaEpUMAAMBONAzDE6tHH+eZa9UTquse8NK3bK4HD8PwlOpR8zwftng0DMMDq2dWNzzgpW/aXA8chuEF1YPneb7kCOaN1R9WX3vAS9+wue43DMOrqx+f5/lzh5sHAAAAAADAyaUYBLCNaexda+udVv1l9fVL5wEAOA7m6lHT2H9fOggAAOxg19/m2eerGx3LsGEYHlY9acujt1Wvqy6r7lLdvTqleuTmx0ccZt4PVc/fPFv1vupV1YXVbarvr65VPbC6/jAMDzhU2WgYhjtXr2j/r/sj1curz1W3rO5XXa+6V/VnwzDc40jKRgAAAAAAAJw8ikEABzGN/f3aenetXtPGT+4EAFhVl1c/M409f+kgAACww32+Wq/eUb198+O1qw8f7aBhGP59NW159AvzPD/zgDP3rV5cXad6+DAMr5zn+fUHmXfj6jntLwU9qfrlrcWfYRju0kZR6Kur+1c/WT3vIPOuW72g/aWgF1Y/Nc/zZQf8Gtbb+OFJd65+ufrNQ//KAQAAAAAAOJlOOfwRgL1rGvtIdVr17qWzAAAcoy9XP6gUBAAAhzfP8+Pmeb7XPM+Pmef5rHmeP3YNxj2ujdt7qp5zYClo8+udVT1+y6MzDjHv0W0UfqpeO8/zow+8DWie5zdXv7jl0eOHYTjYD4n7meobN/fvrR60tRS0Oe/91Y9vefSIzYISAAAAAAAAO4RiEMBhTGOfqf6P6i0LRwEAOFrnV+M09sqlgwAAwF4yDMMNq3tvfjpXpx/i+G9XF27u7zgMw823mTd09YLOEw4x74XVuZv7r2vjzza385+27Kd5ni/d7tA8z2+q3rj56Q2q+x3iawMAAAAAAHCSKQYBHIFp3Pim2mp96SwAAEfok9V3T2NnLx0EAAD2oO+trre5P2ee53882MF5ni+oXrPl0X22OXbb6n/f3J9XveEQ866sXn6oecMw3LS6w/cij+IAACAASURBVOanB57fzssOkw8AAAAAAICFKAYBHKFp7KLqP1YvWjoLAMBhfKi6yzT2t0sHAQCAPerULfs3H8H5rWdO3eb1rc/+ep7n+RrOu3U1bO7fM8/zF6/hPAAAAAAAABaiGARwFKaxS6sfq56+dBYAgIM4p7rrNPbhpYMAAMAedsst+w8dwfmtZ265zes7ad7NhmH46iN4DwAAAAAAACfBtZcOALBqprG5eujaep+pHr90HgCALV5f3Wcau2DpIAAAsMf9my37jx/B+a1n/s02r1+Tef96GIbrzvN86bHOm+f5i8MwXFR91eajr60Od8vQPzMMw4OqnzqCo7c62tkAAAAAAAB7lWIQwDGaxp6wWQ76ndzABgAs7+XVj05j+5YOAgAAdIMt+4uO4PzFW/Y3PM7zrpr5uWsw76qZVxWDtst4JP5tdddjfC8AAAAAAADbUAwCuAamsWevrXde9cfV9ZbOAwDsWb9f/dw0dsXSQQAAgKr+ty37Sw96ar9LDvLe4zFvu5lHO+/AmdtlPBIfqc4+gnO3qv7lMX4NAAAAAACAPUUxCOAamsbOXFvve9v4Kf3/auk8AMCec8Y09qtLhwAAAK7my1v21z2C89c/yHuPx7ztZh7tvANnbpfxsOZ5/oPqDw53bhiGN+VmIQAAAAAAgCNyytIBAHaDaez11Z2qf1w4CgCwd8zVw5WCAABgR7pwy/6rjuD8v9iy/9JxnrfdzKOdd+DM7TICAAAAAACwAMUggONkGnt/dYfq7KWzAAC73sXVA6ax/7F0EAAAYFuf2rK/2RGc33rm08d53vnzPF96TeYNw/DVXb1AtF1GAAAAAAAAFqAYBHAcTWPnVfesXrh0FgBg1/pEdbdp7KVLBwEAAA7qfVv233wE57eeee8On/eJeZ6/eATvAQAAAAAA4CRQDAI4zqaxfdPYA6vHVvPSeQCAXeVvqttPY+9cOggAAHBI52zZ3+UIzt/1IO/d7tmdjsO8d7X/zy6/fRiGf3kN5wEAAAAAALAQxSCAE2Qae3z1Y9UlS2cBAHaFM6vTprGPLx0EAAA4rL+oLt3cnzoMwzce7OAwDDds4xbyq7xim2Nvrz65ub/JMAzffYh5p1T3PdS8eZ4/Xb1t89NTqvsdbN6mHzxMPgAAAAAAABaiGARwAk1jL6ruXn1m6SwAwEo7vbr/NHbx0kEAAIDDm+f5guqVm5+eUv3KIY4/tLrh5v5/zfP8wW3mzdUfb3n0q4eY96PVVUWkj1d/dZBzL9iyXxuG4brbHRqG4S7VVUWki6qXH+JrAwAAAAAAcJIpBgGcYNPYX1d3qN6zdBYAYOXsq35iGnvMNDYvHQYAADgqv15dsbl/8DAMP3fggWEY7lM9dsujQxV+nlhdsLkfh2E4fRiG4YB5d6qeseXRY+d5vvwg836vOndz/23V7w/DcJ0D5n1rVy8kPWWe5/MOkREAAAAAAICT7NpLBwDYC6axc9fWu3P14upeS+cBAFbCZ6v7TWNvXjoIAADsFcMw3KT6nQMe/4sDzrx0m7c+ZJ7nz259MM/z+4Zh+OVq2nz0O8Mw/GT1ujYKQ3eq7rnlLb89z/PrDpZtnufzhmF4cPWiamjjFqJ7D8Pwquri6tTqB6prbb7l5dXzDjFv3zAMP1G9prpe9Z+quw3DcGb1+eqW1Q9uvlb11uqMg80DAAAAAABgGYpBACfJNHbB2nrfXz29esjSeQCAHe091Q9M41d+ejcAAHByfFX1Q4c5s93rj2yj3H818zz/92EYrlU9vrpOdcfNdbVj1VM3ZxzSPM8vHobh+tX/U92gjZt+vm2bo39S/fQ8z1ceZt6bhmG4b/X86qbVN1QP2+boX1Y/Os/zlw+XEQAAAAAAgJPrlKUDAOwl09gV09jPV/+lOuT/lAcA9qw/r+6sFAQAALvDPM//rbp1G+Wf91Zfqi6qPlj9XnXHeZ4ffrgSz5Z5f9hGGei3qndX51eXVB+u/rga53n+sSMt8czz/Beb8361elt1XrWv+mh1VnX/zZnnHdEvGAAAAAAAgJPKjUEAC5jGfnttvQ+18ZM7b7h0HgBgx3hq9chp7IqlgwAAwF40z/O51XAC5r637W/iOdZ5H6l+bXMdj3nnVWdsLgAAAAAAAFaIG4MAFjKNvaq6Q/X+pbMAAIu7vPrZaexhSkEAAAAAAAAAAAAcKcUggAVNY++rble9ZOksAMBiPl39h2ns2UsHAQAAAAAAAAAAYLUoBgEsbBq7cBp7QPWINm4LAAD2jrOrU6ex1y8dBAAAAAAAAAAAgNWjGASwQ0xjT6nuUX1q6SwAwEnx5Op7prFPLh0EAAAAAAAAAACA1aQYBLCDTGNvrG7Txu0BAMDudEH1Q9PYI6fRbYEAAAAAAAAAAAAcO8UggB1m89aA76meunQWAOC4+/+q205jZy4dBAAAAAAAAAAAgNWnGASwA01jl09jD6t+pLpw6TwAwHHxh9Udp7EPLh0EAAAAAAAAAACA3UExCGAHm8b+tLpD9f6lswAAx2xf9bPT2E9OYxcvHQYAAAAAAAAAAIDdQzEIYIebxt5b3b562dJZAICjdm51l2ns2UsHAQAAAAAAAAAAYPdRDAJYAdPYl6ax+1ePrC5fOg8AcET+Z3WbaeydSwcBAAAAAAAAAABgd1IMAlgh09iTq3tWn1g6CwBwUFdWv1b9wDT2haXDAAAAAAAAAAAAsHspBgGsmGnsDdWtqrOWzgIA/DOfrcZp7LemsXnpMAAAAAAAAAAAAOxuikEAK2ga+9w0dr/qZ6uLl84DAFT16upW09hrlw4CAAAAAAAAAADA3qAYBLDCprFnV7ep3rl0FgDYw/ZVD6u+bxr71NJhAAAAAAAAAAAA2DsUgwBW3DT2gepO1ZOqKxeOAwB7zXurO0xjT53G5qXDAAAAAAAAAAAAsLcoBgHsAtPYZdPYo6t7Vh9bOg8A7BHPrG47jb176SAAAAAAAAAAAADsTYpBALvINPZX1XdWL1s6CwDsYudV957GfmEa+/LSYQAAAAAAAAAAANi7FIMAdplp7PPT2P2rn64uXDoPAOwyr6q+Yxp75dJBAAAAAAAAAAAAQDEIYJeaxv6gOrV6+9JZAGAXuKj6uWnsB6axTy0dBgAAAAAAAAAAAEoxCGBXm8Y+VN25Or26cuE4ALCq3lrdehr73aWDAAAAAAAAAAAAwFaKQQC73DR2+TT2mOp7qn9aOg8ArJDLql+v7rpZtgUAAAAAAAAAAIAdRTEIYI+Yxt5YfXv1jGpeOA4A7HTvr+40jT1hGrti6TAAAAAAAAAAAACwHcUggD1kGrtwGvvF6m7V3y+dBwB2oMur06tTp7F3Lh0GAAAAAAAAAAAADkUxCGAPmsbOrr6zemIb3wANANQ7qu+axh4zjV2ydBgAAAAAAAAAAAA4HMUggD1qGrtkGvuV6g7Vu5bOAwALurh6ZHXHaexvlw4DAAAAAAAAAAAAR0oxCGCPm8b+prpd9Zhq38JxAOBk+8vqO6axJ09jVywdBgAAAAAAAAAAAI7GtZcOAMDyprHLq9PX1juzek5154UjAcCJ9oXq4dPY85YOAgAAAAAAAAAAAMfKjUEAfMU09v7qtOqXqosWjgMAJ8pLqlsoBQEAAAAAAAAAALDq3BgEwNVMY1dWT1tb78+qZ1f/YeFIAHC8fLz6+Wnsz5YOAgAAAAAAAAAAAMeDG4MA2NY0du40NlYPqs5fOg8AXANz9azqlkpBAAAAAAAAAAAA7CaKQQAc0jT23OoW1QuXzgIAx+AD1XdPYw+Zxi5YOgwAAAAAAAAAAAAcT4pBABzWNPapaeyB1WnVu5fOAwBH4JLqcdV3TmNvWjoMAAAAAAAAAAAAnAiKQQAcsWns7Oq7ql+ovrBwHAA4mDOrW0xjvzGN7Vs6DAAAAAAAAAAAAJwo1146AACrZRq7onrm2novrn6r+pkUTQHYGd5T/dI09tqlgwAAAAAAAAAAAMDJ4Bu5ATgm09h509jPVrev/nrpPADsaV+oHlrdWikIAAAAAAAAAACAvUQxCIBrZBp7Z3WX6j9Xn142DQB7zJXV71bfMo09fRq7fOlAAAAAAAAAAAAAcDJde+kAAKy+aWyunr+23sur36x+Mb/HAHBinV09dBo7Z+kgAAAAAAAAAAAAsBTftA3AcTONXVA9fG2936+eVt1j4UgA7D4fqx41jf3J0kEAAAAAAAAAAABgaYpBABx309h7q3uurXf/6snVv104EgCr75I2fk85Yxq7aOkwAAAAAAAAQI0v+pWlIwAAcBKt/8gZS0dgG6csHQCA3Wsae2l1i+ox1RcXjgPA6jqruuU09mtKQQAAAAAAAAAAALCfYhAAJ9Q0dvE0dnr1TW3c9LBv4UgArI63V/eYxu43jX146TAAAAAAAAAAAACw0ygGAXBSTGOfn8YeWf276rnVFQtHAmDnel/1Q9PY7aex1y0dBgAAAAAAAAAAAHYqxSAATqpp7KPT2IOqW1WvWDoPADvKR6oHVd8xjZ25dBgAAAAAAAAAAADY6a69dAAA9qZp7L3VfdfWu3P1xOq0hSMBsJzPVr9VPWsa27d0GAAAAAAAAAAAAFgVikEALGoae0t1t7X1vr86o/qOhSMBcPJcUD25eso0duHSYQAAAAAAAAAAAGDVnLJ0AAComsZeVd26+onqnxaOA8CJdUkbhaBvmsYepxQEAAAAAAAAAAAAx8aNQQDsGNPYldUfra33p9XPV4+pvmbZVAAcR1dUz63+6zT2saXDAAAAAAAAAAAAwKpTDAJgx5nGLq2eurbec6qHVb9U3WjZVABcA3P10urXp7EPLB0GAAAAAAAAAAAAdgvFIAB2rGnsS9Xj1tZ7SvWQ6hHV1y6bCoCjMFd/Vj1+Gnvn0mEAAAAAAAAAAABgt1EMAmDHm8YurKa19Z5e/Uz1qOrrl00FwCFcUb2oOmMae8/SYQAAAAAAAAAAAGC3UgwCYGVMY5dUz1hb73ern6h+ubr5sqkA2GJf9dzqSdPYh5cOAwAAAAAAAAAAALudYhAAK2cau6x6ztp6z6seUP1q9e2LhgLY275UPat6yjT2qaXDAAAAAAAAAAAAwF6hGATAyprGrqj+ZG29F1X3qR5T3XbZVAB7yueqp1VPn8a+sHQYAAAAAAAAAAAA2GsUgwBYedPYXJ1VnbW23r3aKAidtmwqgF3t49WTq2dPYxctHQYAAAAAAAAAAAD2KsUgAHaVaezV1avX1jutjYLQvRaOBLCbfKj6b9UfTmOXLh0GAAAAAAAAAAAA9jrFIAB2pWnsTdX3rq136+q/VD9SXW/ZVAAr693VGdVLp7Erlg4DAAAAAAAAAAAAbFAMAmBXm8beVf3ntfUeXT1kc9102VQAK+GK6qzq6dPYG5YOAwAAAAAAAAAAAPxzikEA7AnT2Ker31xb74zqx9q4RehWy6YC2JE+W/1e9axp7KNLhwEAAAAAAAAAAAAOTjEIgD1lGttXPbd67tp6d68eWv3H6pRFgwEs7x3V06s/3fx3JQAAAAAAAAAAALDDKQYBsGdNY6+rXre23jdUP1/9dHXjZVMBnFSXVi+pnjGNvXXpMAAAAAAAAAAAAMDRUQwCYM+bxv6pevTaer9R/Uj1f1fftWwqgBPqE9WzqmdPY59eOgwAAAAAAAAAAABwbBSDAGDTNHZJ9bzqeWvr3bGNgtAPV9ddMhfAcXR29YzqzGnssqXDAAAAAAAAAAAAANeMYhAAbGMae2v11rX1fqn68epB1XcumwrgmFxY/Wn1jGnsXUuHAQAAAAAAAAAAAI4fxSAAOIRp7HPV06qnra13avVTbRSFbrRoMIBDm6s3tHEL2kunsYuWjQMAAAAAAAAAAACcCIpBAHCEprFzqnPW1lur7t3GLUJjdcqiwQD2+3D1/Or509i5C2cBAAAAAAAAAAAATjDFIAA4StPYvuol1UvW1rtZ9ZNt3CR080WDAXvVhdVL27gd6I3T2LxsHAAAAAAAAAAAAOBkUQwCgGtgGvt4dXp1+tp6p7Vxi9APV1+1aDBgt5urN7RRBnrpNHbRsnEAAAAAAAAAAACAJSgGAcBxMo29qXrT2nq/2EY56EHVXZdNBewyH66eXz1/Gjt34SwAAAAAAAAAAADAwhSDAOA4m8YurJ5bPXdtvW+u/q82ikK3XjQYsKq+VL2sjduB3jiNzcvGAQAAAAAAAAAAAHYKxSAAOIGmsX+oTq9OX1vv5m0UhB6QkhBwaOdXr6xeWr16Gtu3cB4AAAAAAAAAAABgB1IMAoCTZBr7UHVGdcaWktAPV6cuGgzYKT5XvaKNMtBrp7FLF84DAAAAAAAAAAAA7HCKQQCwACUhYNNnqrPaKAP91TR2+cJ5AAAAAAAAAAAAgBWiGAQAC1MSgj3nk9WZbZSB3jSNXbFwHgAAAAAAAAAAAGBFKQYBwA5yQEnom9soCN2vum11ypLZgGvko9XLNtebp7F54TwAAAAAAAAAAADALqAYBAA71DT2D9UTqyeurfc11b2q79v8+DVLZgMOa67Oqf5n9f9Wb1MGAgAAAAAAAAAAAI43xSAAWAHT2HnVC6sXrq13SnW7NkpC/2cbtwkNC8YDNnyxWq/+vPrzaexTC+cBAAAAAAAAAAAAdjnFIABYMdPYldX/2ly/ubbeTbr6bUI3XjAe7CVz9bfVX7RxM9BbprHLl40EAAAAAAAAAAAA7CWKQQCw4qaxz1YvqF6weZvQ7dsoCX1fbhOC4+1T1WvauBnoNdPYpxfOAwAAAAAAAAAAAOxhikEAsIts3ib01s31G2vr3bSNW4TuXt2t+qYF48Eq+nL1pvYXgf524TwAAAAAAAAAAAAAX6EYBAC72DT2meqPNldr692sOq2NktBp1bflRiHY6vzqLdXZbRSC3j6N7Vs2EgAAAAAAAAAAAMD2FIMAYA+Zxj5evWhztbbejdooCF1VFjo1/33A3vLRNkpAVxWB/m4am5eNBAAAAAAAAAAAAHBkfOMvAOxh09jnq1dsrtbWu0F15/YXhW5fXX+xgHB8zdV72l8COnsa+8iykQAAAAAAAAAAAACOnWIQAPAV09iF1frmam2961W3a6ModIfqu6qvWywgHJ191TvaXwR6yzT2hWUjAQAAAAAAAAAAABw/ikEAwEFNY/vaKFWcfdWztfVuUt2mjZLQbTbXNy4SEPa7qHp3dc6W9Z7Nf4YBAAAAAAAAAAAAdiXFIADgqExjn61evbmqWlvvX7e/JHRVaejm1bBERna9z3b1AtA51YemsSsXTQUAAAAAAAAAAABwkikGAQDX2DT2heq1m6uqtfVuWJ3a1W8X+tbqWktkZGV9uP3ln3dV50xjH182EgAAAAAAAAAAAMDOoBgEAJwQ09iXqjdurqrW1rtOGzcJfes268YLxGRnuLyNAtAHq7/fXO+r3jWNnb9kMAAAAAAAAAAAAICdTDEIADhpprHL2ih8vO/A19bWu3HbF4a+ubruSYzJiTFXH2uj9LO1APTB6h+nscsXzAYAAAAAAAAAAACwkhSDAIAdYRr7XPWWzfUVa+tdq/rG9heF/l319dXXbS43De0cV1SfbuP2nwMLQB+axr68YDYAAAAAAAAAAACAXUcxCADY0aaxK6oPba5XHfj62nrXb39J6GDrptVwkiLvVudXH99cnzjIx09v/v0CAAAAAAAAAAAA4CRQDAIAVto0dkn7i0PbWlvvOtXNNtdVZaGbVDdq48ahA9d1T2zqHeGSNso+51df3Pz4heqT7S/6XFX6+cQ0dvFCOQEAAAAAAAAAAAA4CMUgAGDXm8Yuq87dXIe1tt4N2igN/avqqw9YW5/doLpeG0Wio13XaftbjC7bsi4/is+/3P6Cz/kH7A/8/IvT2L4j+WsBAAAAAAAAAAAAwM6lGAQAcIBp7MLqwuojJ/LrrK1/pSB0RXXZNHbFifx6AAAAAAAAAAAAAOwuikEAAAuZxi6tLl06BwAAAAAAAAAAAACr6ZSlAwAAAAAAAAAAAAAAAABHTzEIAAAAAAAAAAAAAAAAVpBiEAAAAAAAAAAAAAAAAKwgxSAAAAAAAAAAAAAAAABYQYpBAAAAAAAAAAAAAAAAsIIUgwAAAAAAAAAAAAAAAGAFKQYBAAAAAAAAAAAAAADAClIMAgAAAAAAAAAAAAAAgBWkGAQAAAAAAAAAAAAAAAArSDEIAAAAAAAAAAAAAAAAVpBiEAAAAAAAAAAAAAAAAKwgxSAAAAAAAAAAAAAAAABYQYpBAAAAAAAAAAAAAAAAsIIUgwAAAAAAAAAAAAAAAGAFKQYBAAAAAAAAAAAAAADAClIMAgAAAAAAAAAAAAAAgBWkGAQAAAAAAAAAAAAAAAArSDEIAAAAAAAAAAAAAAAAVpBiEAAAAAAAAAAAAAAAAKwgxSAAAAAAAAAAAAAAAABYQYpBAAAAAAAAAAAAAAAAsIIUgwAAAAAAAAAAAAAAAGAFKQYBAAAAAAAAAAAAAADAClIMAgAAAAAAAAAAAAAAgBWkGAQAAAAAAAAAAAAAAAArSDEIAAAAAAAAAAAAAAAAVpBiEAAAAAAAAAAAAAAAAKwgxSAAAAAAAAAAAAAAAABYQYpBAAAAAAAAAAAAAAAAsIIUgwAAAAAAAAAAAAAAAGAFKQYBAAAAAAAAAAAAAADAClIMAgAAAAAAAAAAAAAAgBWkGAQAAAAAAAAAAAAAAAArSDEIAAAAAAAAAAAAAAAAVpBiEAAAAAAAAAAAAAAAAKwgxSAAAAAAAAAAAAAAAABYQYpBAAAAAAAAAAAAAAAAsIIUgwAAAAAAAAAAAAAAAGAFKQYBAAAAAAAAAAAAAADAClIMAgAAAAAAAAAAAAAAgBWkGAQAAAAAAAAAAAAAAAArSDEIAAAAAAAAAAAAAAAAVpBiEAAAAAAAAAAAAAAAAKwgxSAAAAAAAAAAAAAAAABYQYpBAAAAAAAAAAAAAAAAsIIUgwAAAAAAAAAAAAAAAGAFKQYBAAAAAAAAAAAAAADAClIMAgAAAAAAAAAAAAAAgBWkGAQAAAAAAAAAAAAAAAArSDEIAAAAAAAAAAAAAAAAVpBiEAAAAAAAAAAAAAAAAKwgxSAAAAAAAAAAAAAAAABYQYpBAAAAAAAAAAAAAAAAsIIUgwAAAAAAAAAAAAAAAGAFKQYBAAAAAAAAAAAAAADAClIMAgAAAAAAAAAAAAAAgBWkGAQAAAAAAAAAAAAAAAArSDEIAAAAAAAAAAAAAAAAVpBiEAAAAAAAAAAAAAAAAKwgxSAAAAAAAAAAAAAAAABYQYpBAAAAAAAAAAAAAAAAsIIUgwAAAAAAAAAAAAAAAGAFKQYBAAAAAAAAAAAAAADAClIMAgAAAAAAAAAAAAAAgBWkGAQAAAAAAAAAAAAAAAArSDEIAAAAAAAAAAAAAAAAVpBiEAAAAAAAAAAAAAAAAKwgxSAAAAAAAAAAAAAAAABYQYpBAAAAAAAAAAAAAAAAsIIUgwAAAAAAAAAAAAAAAGAFKQYBAAAAAAAAAAAAAADAClIMAgAAAAAAAAAAAAAAgBWkGAQAAAAAAAAAAAAAAAArSDEIAAAAAAAAAAAAAAAAVpBiEAAAAAAAAAAAAAAAAKwgxSAAAAAAAAAAAAAAAABYQYpBAAAAAAAAAAAAAAAAsIIUgwAAAAAAAAAAAAAAAGAFKQYBAAAAAAAAAAAAAADAClIMAgAAAAAAAAAAAAAAgBWkGAQAAAAAAAAAAAAAAAArSDEIAAAAAAAAAAAAAAAAVpBiEAAAAAAAAAAAAAAAAKwgxSAAAAAAAAAAAAAAAABYQYpBAAAAAAAAAAAAAAAAsIIUgwAAAAAAAPa4YRhuMQzDk4dh+LthGM4fhuHCYRg+MAzDs4ZhuN3S+QAAAAAAANjetZcOAAAAAAAAwHKGYVirnlBd94CXvmVzPXgYhqdUj5rneT7Z+QAAAAAAADg4xSAAAAAAAIA9ahiGh1VP2vLobdXrqsuqu1R3r06pHrn58REnOyMAAAAAAAAHpxgEAAAAAACwBw3D8O+racujX5jn+ZkHnLlv9eLqOtXDh2F45TzPrz95KQEAAAAAADiUU5YOAAAAAAAAwCIeV11rc/+cA0tBVfM8n1U9fsujM05GMAAAAAAAAI6MYhAAAAAAAMAeMwzDDat7b346V6cf4vhvVxdu7u84DMPNT2Q2AAAAAAAAjpxiEAAAAAAAwN7zvdX1NvfnzPP8jwc7OM/zBdVrtjy6z4kMBgAAAAAAwJFTDAIAAAAAANh7Tt2yf/MRnN965tSDngIAAAAAAOCkUgwC+P/bu/eg2+qyDuDf54DcUUgp1EwIkqRAoPGCcoCUQDTFvJZMiY6OjoZX8lLhkOYYoSapaDOOmZaaSmjcFBRPgnlBUQ8FKV4IEDQE8QRy5+mPvehsXt/LPtf37PN+PjN73t9a61m/9Wz+gL2G9V0/AAAAAIClZ++x8XcmqB+v2XvOKgAAAAAAADaqLRe7AQAAAAAAADa6XcfGP5igfrxm1zmr5lFVz0vy3AlKH5EkK1euzPLly9fmUkveyu9csdgtAACwES2/5JzFboEl7D+uvXyxWwAAYCNa/q4LFruFqbVy5cq7h3us77kFgwAAAAAAAJaeHcbGN01Q/7Ox8Y5rec1fSXLQpMWrVq3KBRf4H4wAALCQC34oGA4AAGwcF3zrqsVuYXOw/fqeUDAIAAAAAABg6dl2bHzbBPW3zHHumrgiySRJnwOSVJIbknx3La8FwNKzb5J7J1mVZOUCtQAAAOvC/QcAa2OPjEJB6/3tDoJBAAAAAAAAS8/NY+OtJqjfZo5zJ9bd70vyvrU5FwAWUlXnZ7Qy3cruXr7Y/QAAAJsv9x8AbGqWLXYDAAAAAAAAbHQ3jo23n6B+u7Hx/67nXgAAAAAAAFhLgkEAAAAAAABLzw/Hxg+coH685kfruRcAAAAAAADWkmAQAAAAU2uZVQAADmFJREFUAADA0nPp2HiPCerHay5Zz70AAAAAAACwlgSDAAAAAAAAlp6vj40fM0H9QXOcCwAAAAAAwCISDAIAAAAAAFh6PpXktmG8f1XtPldhVe2Y5LCxXZ/ckI0BAAAAAAAwOcEgAAAAAACAJaa7VyU5fdhcluR185S/NMmOw/jL3X3ZhuwNAAAAAACAyQkGAQAAAAAALE3HJ7lzGL+gql40s6Cqjkry+rFdf7oxGgMAAAAAAGAyWy52AwAAAAAAAGx83X1pVb02yUnDrndX1XOSnJdRYOjAJIeNnXJyd5+3kdsEAAAAAABgHoJBAAAAAAAAS1R3v6WqtkjyxiT3SvKo4XOPsiRvT3LcRm4PANbE3yf5bJIrFrsRAABgs+f+A4BNSnX3YvcAAAAAAADAIqqqvZO8IMnhSR6UZFmSq5OsSPLe7v7K4nUHAAAAAADAXASDAAAAAAAAAAAAAAAAYAotW+wGAAAAAAAAAAAAAAAAgDUnGAQAAAAAAAAAAAAAAABTSDAIAAAAAAAAAAAAAAAAppBgEAAAAAAAAAAAAAAAAEwhwSAAAAAAAAAAAAAAAACYQoJBAAAAAAAAAAAAAAAAMIUEgwAAAAAAAAAAAAAAAGAKCQYBAAAAAAAAAAAAAADAFBIMAgAAAAAAAAAAAAAAgCkkGAQAAAAAAAAArLOq2q2qevisWOx+AAAAAGApEAwCAAAAAAAAAAAAAACAKSQYBAAAAAAAAAAAAAAAAFNIMAgAAAAAAAAAAAAAAACmkGAQAAAAAAAAAAAAAAAATCHBIAAAAAAAAAAAAAAAAJhCgkEAAAAAAAAAwAZRVcuq6o+q6jNVdU1V3VpVV1XVP1fVgQucW1X16Kp6w3D+VVV1S1XdPIzPqKoXVtXWE/Sxoqp6+Ow27FteVR+qqu8Pc15eVR+tqv1mOX+vqnpXVV1SVTdV1XVVdU5VPXFt/9kAAADzq6pHVNXfVdXFVbWqqu6oqhur6ntVdVZVvaqqfnOW82b7/f/bVfWR4ff/LVX1o6r6VFU9a8Je7ltVx1TVB6rqm1V1Q1XdXlXXD9vvqKp9Jpjn0LHe3j/su3dVvbqqLhzuNVZV1UVV9bKq2mbG+VsN91ifq6qrh+9yWVW9pap2nuS7ALD5qe5e7B4AAAAAAAAAgCk3PHD3/WHz35I8LclHkzx2ntOO6+63zjHf+UkOmuDS30/ylO5eOU9vK5IcMmzunuQFSV6XpGYpvzPJH3T3x4Zzj03ytiRbzjH9Cd39FxP0CQAATKCqKsnbk7x0gvJbu3tmeGZF7vn7/9gkr5xnjk8leXp33zRHP49Pcnrmvie4Wyd5a5LXdPddc8x1aJLPDZv/kOSvhrn3nGPOf09yRHffWFUPSHJmkp97mcHgv5Mc3N1XLNAnAJuZhf4DBQAAAAAAAACwprZMcmpGD+P9IKMH3a5MsnOSo5L82lB3UlVd2N2fn2WOXYa/Vyb5cpLLkqxKsnWSvZIcmWSnjB70+0xVPay7r5mgt5ckOS7JTUk+meTSJNsneXKSvZNskeSfquobSR6V5G+T3J7kX5KsTLIsyRFJHjnMd0JVfb67PxcAAGB9eEXuGQr6fJKvJLkuyVZJ7p9k/yQPn2CulyV5eZI7kpyV5KKM7lcOTPK4oebxSU6rqiN69hUXdhrOuT2je5OLk/woyW0Z3bc8JskjMnrxwHFJbkly/AS93SerQ0HfSHJukp8m+fUkzxy+66OTvLOqXpxRgGmfjO6NzkxybZLdkvx+kh2TPDjJB5IcOsG1AdiMWDEIAAAAAAAAAFhnM1YMutvJGb0t+9axui2T/GOSZw27zu3uw2eZ74QkZ3T3V+e43g5J3pnkOcOu93f3c+eoXZHVbwxPRg8DPrm7fzBWs0WSjyR5+rDrzCTLk/w4yRO6+1sz5jw5qx9W/Ex3/85s1wYAANZMVV2Z5JczCt4c2d3nzVF3vyRHd/fJM/avyOrf/53kfzL6TX/RjLrDk5yWZLth14u7+92zXOfgjF4i8OHu/ukcvRyS0csR7pvkriR7dvfM+6OZKwZlqD22u0+ZUffIjFZi3TqjVU1PzSgs9IYkb+juO8dq90zypeHaSXJQd39htj4B2DwJBgEAAAAAAAAA62yWYNBp3f3UOWp3ymgloe0yehBu5+5etRbXXJbkwiQHZPRW7l26+8ZZ6lZk9YOBNyTZe7bVharqARmtULRs2HV7kv27+z9nqd02ydUZvT18rb8DAACw2hD2uXbYPKO7n7QWc6zIPV8McHB3nz9H7R9mtMpOMroX2H08dLOG1z0qySeGzTd195/PUnNo7hkMOrG7XzvHfO9O8qKxXR/u7mfPUfvaJG8eNt/a3cetYfsATLFlC5cAAAAAAAAAAKyxE+Y60N03JLn7rd/Lkuy7Nhfo7ruSfGzY3CbJwyc47b2zhYKG+a5O8s2xXZ+YLRQ01N6c1Q/0LUuyz0RNAwAA8xl/tnnb9TDfp+cKBSVJd38wybeHzQclOXQdrnVGkpuG8fIJ6m9N8tfzHD97xvZfzlN71tj4YRNcG4DNyJaL3QAAAAAAAAAAsNm5prtXLlDz7bHxL85XWFUPyig8dP8kOybZYuzw/mPjvXLPt2/P5pwFjn9vbM5zJ6i9264L1AIAAAu7NskPM/p9/diq+uMk7+nuO9Zyvk8sXJLTkrxmGB+Y5LNzFVbVNhm9FOAhSe6TUXipxkpuH/7uNcF1v9bd189zfPx+4+ruvmTCWvcmAEuMYBAAAAAAAAAAsL5dMUHNjWPjHWYrqKpnJ/mTJPtNeN2dJqi5coHjN42N16R2+wmuDQAAzKO7u6pOTPI3GQVu3pHk+Ko6K8n5Sb7Y3ZeuwZTfXLgkF4+NHzJbQVU9MMkbkjwjo5cVLMS9CQAbjWAQAAAAAAAAALC+3TJBTY+Nl40fqKpK8r4kx6zhdbeZoGah3sb7WpPaZXNWAQAAE+vut1fVjkn+LMnWGa0weszwSVX9MMmpSU7u7ssWmO66CS7547HxzjMPVtVvZbTy6C9MMNfdtp6gZr3dmwyBqrs33ZsALDH+xQ8AAAAAAAAAbGqen9WhoNuTnJLkCUl+NaPVhbbo7uruSvK8RekQAADYYLr7jRn9/n91knNzzxVxdk3ykiSXVNUrNmQfVbV1ko9mdSjo4uHaByTZJck2d9+bDPcnk6yeCgDrlRWDAAAAAAAAAIBNzbFj46d397/OU3ufDd0MAACw8XX31UlOSnJSVW2ZZP8khyU5OslvZPQc9Nuq6r+6++w5prnvBJe639j4JzOOPTGjgFKSfCnJId192zxzuT8BYKOzYhAAAAAAAAAAsMmoqu2S7DNsfm+BUFAyeiAQAADYjHX3Hd19YXe/OaP7hXeMHX7hPKfuO8H0+4yNvz3j2KPGxqfMFwqqqgdGMAiARSAYBAAAAAAAAABsSnYeG18/X2FVbZXkdzdsOwAAwKakuzvJm8Z27TVP+e9NMOVTxsZfnHFs4vuTJE+b4FoAsN4JBgEAAAAAAAAAm5KfJOlh/NCq2nae2tck2XXDtwQAAGzCbp7n2OFV9Zi5DlbV0VkdLLoqyYoZJdeNjQ+YZ55dkrxu/jYBYMMQDAIAAAAAAAAANhnd/bMkXxs2t09yyrAy0P+rqmVV9aokJ2R1iAgAAJhyVXVwVZ1RVUdW1b3mqNkmydvGdl2wwLQfr6r9ZpnnsCTvGdt1YnffOaPs/LHxq6vq58JBVbVHknMzemmB+xMANrotF7sBAAAAAAAAAIAZTkzysWF8TJJDqursJD9I8ktJnpBkzyQ/y+hBvlcuQo8AAMD6tyzJE4fPT6rqS0kuSXJ9km2T/EqSJyXZeaj/aZKT5pnv5CQvT3JhVZ2Z5KKMnp8+MMnjktRQd16SU2Y5/+wkK5Psm2SHYZ7Tk1yc5M4k+yU5MslWST6Y5OAkD17TLw0A60IwCAAAAAAAAADYpHT3x6vqjUmOH3btnuTFM8quS3J0kvtvzN4AAIAN6vax8c4ZhW6OnKP28iTP6O4r55nv5OHvy5McNXxmOifJ07r7rpkHuvuuqnpqRisC7Z5RcGm2eT6W5IVJLp2nFwDYIJYtdgMAAAAAAAAAADN19+uTHJrk1CTXZPSA4I8zesP3CUn26e5PL1Z/AADA+tfdX0iyW0YvBvhQRqv13JDR6jw3J7kiyelJnp/kod391QnmfEWSw5N8fDj/tiTXZhQIenZ3H9HdN85z/neT7J/k9Um+nuSmJLdkFEz6eJInd/czu/vmNf/GALDuqrsXuwcAAAAAAAAAAAAAgHVWVSuSHDJs7t7dly9eNwCw4VkxCAAAAAAAAAAAAAAAAKaQYBAAAAAAAAAAAAAAAABMIcEgAAAAAAAAAAAAAAAAmEKCQQAAAAAAAAAAAAAAADCFBIMAAAAAAAAAAAAAAABgCgkGAQAAAAAAAAAAAAAAwBSq7l7sHgAAAAAAAAAAAAAAAIA1ZMUgAAAAAAAAAAAAAAAAmEKCQQAAAAAAAAAAAAAAADCFBIMAAAAAAAAAAAAAAABgCgkGAQAAAAAAAAAAAAAAwBQSDAIAAAAAAAAAAAAAAIApJBgEAAAAAAAAAAAAAAAAU0gwCAAAAAAAAAAAAAAAAKaQYBAAAAAAAAAAAAAAAABMIcEgAAAAAAAAAAAAAAAAmEKCQQAAAAAAAAAAAAAAADCFBIMAAAAAAAAAAAAAAABgCgkGAQAAAAAAAAAAAAAAwBQSDAIAAAAAAAAAAAAAAIApJBgEAAAAAAAAAAAAAAAAU0gwCAAAAAAAAAAAAAAAAKaQYBAAAAAAAAAAAAAAAABMIcEgAAAAAAAAAAAAAAAAmEKCQQAAAAAAAAAAAAAAADCFBIMAAAAAAAAAAAAAAABgCgkGAQAAAAAAAAAAAAAAwBQSDAIAAAAAAAAAAAAAAIAp9H/ZxAgrjXlr4AAAAABJRU5ErkJggg==\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "from collections import Counter\n",
        "\n",
        "# reading csv file and extracting class column to y.\n",
        "data_set= pd.read_csv('/content/drive/MyDrive/data/SPAM text message 20170820 - Data.csv',encoding='utf-8')\n",
        "data_set.head()\n",
        "data_set.info()\n",
        "data_set.shape\n",
        "data_set['Category'].value_counts()\n",
        "labels = ['Spam', 'Ham']\n",
        "sizes = [747, 4825]\n",
        "custom_colours = ['#ff7675', '#74b9ff']\n",
        "plt.figure(figsize=(20, 6), dpi=227)\n",
        "plt.subplot(1, 2, 1)\n",
        "plt.pie(sizes, labels = labels, textprops={'fontsize': 15}, startangle=140,\n",
        "        autopct='%1.0f%%', colors=custom_colours, explode=[0, 0.05])\n",
        "plt.subplot(1, 2, 2)\n",
        "sns.barplot(x = data_set['Category'].unique(), y = data_set['Category'].value_counts(), palette=\n",
        "'viridis')\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize = (10, 6))\n",
        "sns.kdeplot(x = data_set['Total Words'], hue= data_set['Category'], palette= 'winter', shade = True)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 405
        },
        "id": "30KwFY5M1FfF",
        "outputId": "8645a492-6014-4f5e-8beb-62d842fd0d8a"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x432 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data_set['Total Words'] = data_set['Message'].apply(lambda x: len(x.split()))\n",
        "def count_total_words(text):\n",
        "    char = 0\n",
        "    for word in text.split():\n",
        "        char += len(word)\n",
        "    return char\n",
        "data_set['Total Chars'] = data_set[\"Message\"].apply(count_total_words)\n",
        "data_set.head()\n",
        "\n",
        "data_set['Category'] = data_set['Category'].replace({'spam':0,'ham':1})\n",
        "all_spam_words = []\n",
        "for sentence in data_set[data_set['Category'] == 0]['Message'].to_list():\n",
        "    for word in sentence.split():\n",
        "        all_spam_words.append(word)\n",
        "df = pd.DataFrame(Counter(all_spam_words).most_common(25), columns= ['Word','Frequency'])\n",
        "sns.set_context('notebook', font_scale= 1.3)\n",
        "plt.figure(figsize=(18,8))\n",
        "sns.barplot(y = df['Word'], x= df['Frequency'], palette= 'summer')\n",
        "plt.title(\"Most Commonly Used Spam Words\")\n",
        "plt.xlabel(\"Frequnecy\")\n",
        "plt.ylabel(\"Spam Words\")\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 526
        },
        "id": "wdIZvvWpxvkC",
        "outputId": "56ebc159-8902-40c8-b8bf-0087bd3cc9f6"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1296x576 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "all_ham_words = []\n",
        "for sentence in data_set[data_set['Category'] == 1]['Message'].to_list():\n",
        "    for word in sentence.split():\n",
        "        all_ham_words.append(word)\n",
        "df = pd.DataFrame(Counter(all_ham_words).most_common(25), columns= ['Word','Frequency'])\n",
        "sns.set_context('notebook', font_scale= 1.3)\n",
        "plt.figure(figsize=(18,8))\n",
        "sns.barplot(y = df['Word'], x= df['Frequency'], palette= 'summer')\n",
        "plt.title(\"Most Commonly Used Ham Words\")\n",
        "plt.xlabel(\"Frequnecy\")\n",
        "plt.ylabel(\"Ham Words\")\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 526
        },
        "id": "CzgSDwklzD5E",
        "outputId": "e3cd0b75-7fcb-483c-9ef7-26937d0d58cb"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1296x576 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def convert_lowercase(text):\n",
        "    text = text.lower()\n",
        "    return text\n",
        "\n",
        "data_set['Message'] = data_set['Message'].apply(convert_lowercase)\n",
        "\n",
        "def remove_url(text):\n",
        "    re_url = re.compile('https?://\\S+|www\\.\\S+')\n",
        "    return re_url.sub('', text)\n",
        "\n",
        "data_set['Message'] = data_set['Message'].apply(remove_url)\n",
        "\n",
        "exclude = string.punctuation\n",
        "\n",
        "def remove_punc(text):\n",
        "    return text.translate(str.maketrans('', '', exclude))\n",
        "\n",
        "data_set['Message'] = data_set['Message'].apply(remove_punc)\n",
        "\n",
        "def remove_stopwords(text):\n",
        "    new_list = []\n",
        "    words = word_tokenize(text)\n",
        "    stopwrds = stopwords.words('english')\n",
        "    for word in words:\n",
        "        if word not in stopwrds:\n",
        "            new_list.append(word)\n",
        "    return ' '.join(new_list)\n",
        "\n",
        "data_set['Message'] = data_set['Message'].apply(remove_stopwords)\n",
        "\n",
        "def perform_stemming(text):\n",
        "    stemmer = PorterStemmer()\n",
        "    new_list = []\n",
        "    words = word_tokenize(text)\n",
        "    for word in words:\n",
        "        new_list.append(stemmer.stem(word))\n",
        "\n",
        "    return \" \".join(new_list)\n",
        "\n",
        "data_set['Message'] = data_set['Message'].apply(perform_stemming)"
      ],
      "metadata": {
        "id": "vDA8xnd515o1"
      },
      "execution_count": 27,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.feature_extraction.text import CountVectorizer\n",
        "X_train, X_test, y_train, y_test = train_test_split(data_set['Message'], data_set['Category'],random_state=1)\n",
        "\n",
        "cv = CountVectorizer(strip_accents='ascii', token_pattern=u'(?ui)\\\\b\\\\w*[a-z]+\\\\w*\\\\b',lowercase=True, stop_words='english')\n",
        "X_train_cv = cv.fit_transform(X_train)\n",
        "X_test_cv = cv.transform(X_test)\n",
        "word_freq_df = pd.DataFrame(X_train_cv.toarray(), columns=cv.get_feature_names())\n",
        "top_words_df = pd.DataFrame(word_freq_df.sum()).sort_values(0, ascending=False)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "kt_dRv6LzbKO",
        "outputId": "54943bc1-48fd-4267-e50f-2b60a86f4467"
      },
      "execution_count": 29,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/sklearn/utils/deprecation.py:87: FutureWarning: Function get_feature_names is deprecated; get_feature_names is deprecated in 1.0 and will be removed in 1.2. Please use get_feature_names_out instead.\n",
            "  warnings.warn(msg, category=FutureWarning)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.naive_bayes import MultinomialNB\n",
        "naive_bayes = MultinomialNB()\n",
        "naive_bayes.fit(X_train_cv, y_train)\n",
        "predictions = naive_bayes.predict(X_test_cv)\n"
      ],
      "metadata": {
        "id": "F-fuvgPUz8ms"
      },
      "execution_count": 30,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.metrics import confusion_matrix\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "cm = confusion_matrix(y_test, predictions)\n",
        "sns.heatmap(cm, square=True, annot=True, cmap='RdBu', cbar=False,\n",
        "xticklabels=['spam', 'ham'], yticklabels=['spam', 'ham'])\n",
        "plt.xlabel('true label')\n",
        "plt.ylabel('predicted label')\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 308
        },
        "id": "JhnIqKS60C4S",
        "outputId": "4c47067e-e5fc-4bdb-d3cb-7b071b13f965"
      },
      "execution_count": 31,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(85.18, 0.5, 'predicted label')"
            ]
          },
          "metadata": {},
          "execution_count": 31
        },
        {
          "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": [
        "from sklearn.metrics import accuracy_score, precision_score, recall_score,f1_score\n",
        "print('Accuracy score: ', accuracy_score(y_test, predictions))\n",
        "print('Precision score: ', precision_score(y_test, predictions))\n",
        "print('Recall score: ', recall_score(y_test, predictions))\n",
        "print(\"F1 score: \",f1_score(y_test, predictions))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "CXpP-cLd0E8b",
        "outputId": "6b77cc81-d320-4dc8-c32a-3b86b2e2e5bf"
      },
      "execution_count": 32,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Accuracy score:  0.9877961234745154\n",
            "Precision score:  0.9901234567901235\n",
            "Recall score:  0.9958609271523179\n",
            "F1 score:  0.9929839042509286\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "h-0jqpk60F_i"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}