Scene_Classification.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "accelerator": "GPU",
    "colab": {
      "name": "Scene Classification",
      "provenance": [],
      "collapsed_sections": []
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "SnuX8Iq3fyZr"
      },
      "source": [
        "# **Recognize Places from Images**"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_7FGw0c5vv_p"
      },
      "source": [
        "We aim to learn a model that recognizes places or objects seen before. Given images of a place, can it be recognized from a different viewpoint?"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "HcL1pCTC6tkz"
      },
      "source": [
        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)![6.jpg](data:image/jpeg;base64,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)![13.jpg](data:image/jpeg;base64,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)![229.jpg](data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAIBAQEBAQIBAQECAgICAgQDAgICAgUEBAMEBgUGBgYFBgYGBwkIBgcJBwYGCAsICQoKCgoKBggLDAsKDAkKCgr/2wBDAQICAgICAgUDAwUKBwYHCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgr/wAARCADwAUADASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD9EYEwBx09atIg9KjiQLggDPrU6LkZA6+tfsrkfmsVYfGBnaO1Toobg9fSmRDaADU0YBOD69ahs0XcUQK3bj0pktsChyO/aplGB1p/l7xlaV2MzfIcHp+lKmRJ90Vom2DDOOvakbTRklR+GafMuoWuQWkkkbYDjHoatqzM/YZ64pIbHBDFOKtwWuTwR9DSbTGT2sfGDyD05qyi+gFNtrdUHAxViOMA5JyKyAWNcnHapYoxnGKFjzxUsanoOvtUt6DW4LEDzjFOC09UGOaekYxkCsnJjsM2EHp+NOERztBHtTwnOT1pwTPIFTcBgjyuGzSiNSc7fyqRYyeM808RLn5l/KochpIi2qTlhzSbBngdqm8ogkADBpPKyOKOYZD5WBheaY8YzxVjyh1BprJ2601Ih6lfbnoO3WorlreC3ee5YLEiFpGboFHJJ9qteXn/AOtUV3ERbyeWMvsOwbSecccd6tNC1OM+AP8AbJ+BvhGHxLZx22pweG7ODVLWKV3W3uo4VSaIM5LNtkV1ySSdvJJrq3jzyBzXJfs/3mr6n8L7W71zQr/TbltQ1BWstTAE8YW9nUbsE9QARznBGec12RjyeBW0nGM2o7X0JjJyim9ysy47VC6Drnmrcke4ZFRMhxzVJlFR17imOgOc5qzInGcfhmopE253Z/OmtwKzjjINNbHXH6VO6nOO/pUToTyR1qxbELg/jmom4GMVYdfz96ikTcKCdytIgJziq8yknBq48fNQSpkEcZrVSIexSkTjHfPNU54wATgfXFaEyYyen41WlUFdx/GrRnLVWI0jAPTpUsZySMdumKSNB0/SpUXIzjg+9YXOmyQ8Eg9OlSxY4xio1XLZAxUqEZpXuMfHk84qZAo6GokPcHp04qeMDHBxQA+NFPFTIgx0+lNjjBbB61PEmee3aobAEhx1HX3qZIkUfL+lABAyRn1qWMBxmkA9EBGCKmVN3PrTFFTRgAcGpbY0rscqKBz0z6VIiAfKv1oVfanqmPTNZN3KsOiQDk9hUipx0/OkVCOAPzqVMjjsec1lJgloNEQzinrGBzTgCef0pyqTgn9KhtsuKTE8s53d6BHzzTgo7ClxkY96luxXKhuw4xRs7mngccCjBBNHMhcozYFBIphQE5HUCpTleopMc5pg4kLIeADXLfGb4m+Gfgr8Ltb+KXjDWLSysdGsHnaW9mWNHl+7FCCSMvJIUjRRyzuqjJIFdcy8dK+Mv+CqP7eXwb+FXg27/ZZ0660/XPG/ihYrSbT/ACI7tPD4kKPBd3EbKw80MY5Yojtf5VkygCM0zqRpxu2SoNvTUwf+CGnx81Pxv+zZc/BL4leJnPijwtq91Jp2l6hBJFdPpMhjkEwaQA3Ci5mnVnUsUDRK+3fHu+3WhGQVr8Z/2Hv+CsnhL9mLUPE8aeA7vW7XU47eeZLrWMTusUpjRUfc6gqLlmPyHeFPK45/Wv8AZ/8Ajj8P/wBpn4PaH8b/AIY3lxNomvWzS232u1aGaJ0kaOSKRG6OkiOjYJUlSVZlIYzhq0JQUV0IcK8f4sbO/wAu51LoQCTUTx8ZXp2q3JGegH0qF04x+RrtjITRWkTnioZIwBk/yq2UAPSoZFKnmtk7hZlV0PWoni745NWpUJ5FQvGTxVXYisy45Hp61FIParDxrjI4qJ16gc1SdxFZ1JHrUMqjOO/erLIAcGopAAP5U7kOKKko6kdKqyrgZAznrVyRTgk4qvKm07c1rGTZEtSvDkHGfpUyZBxx6g5qCJCTkkYqaIMPm3DqO1ZbGydyePkZb8akABPNQoWByMVIjuH2gj1qbroPWxPFHj5s1PGhJxn9KhhJYYqzCoGMYqWwJIkYcZp6xksT/WliTPQ1MkfAwfrScrIBEBXAzwfXrUyJj5l/GljjDEHH41LGhGFHfpUt6hYdHIm/YRzU8YUjg54qIQKTk06JTGxx0qW9CidBg57VMgyPxqNAG4/lUinjNZsq1h6ED8fWpVI/hHao4yB1qRSqnBP4VlIB6rx81O4PFNUgkYPHYU8Z6VLNElYOMYpxAPzdc0YPUcH1pVVt20jpWZSQoUL/APWpGBA+YZHtTlOTwKXnOccdqVw0IinYc0hXrkcUzU/7Si0+d9Itrea7ETG2hurloYpJMfKryKjlFJwCwRiAc7Wxg/En7Pn/AAU28WeMP2gofDfxr8X+C9D8N3OlXIlV/wDQVtriNlaFY3llkaaeQSeWY9wD7FKKjKyy41cTToTjGT3NI0alSDcVe259u7WbhRk9gB1r+Zr4jfF+z8Z/HqD41fE3xpam81TW21/xFDpsJlmE76nLJLFHEhEaybV8xUkaMYZVyBtr+i3UNS8O/tOfs9anL8JPibPZ2PjDw3eWmk+K9HMiXFg8sUkPnoMpJHPC5OUJR0kjKtsZSB/NRdfA3V9PSe61/WdO0ZRZNdQDU7kifUcOVCwQqGklJYMAdoXjlhWeKcpRi42LoOlC/O7G1Fb/ALKNjcTXPh74ufEu9uI7WWRLeb4Y2cCHEZwGZdYk2qB1O04AJx3r9P8A/g3h+M/hO78I+L/gNa/GTS9au3S38SWPh200++SfTAyrb3fmSzwJC2GFouyJ3AYu2TuJr4S8Ffsaa54c+G978TvCmpeKNUi1HQJI5fL+EmttYTI20zpFdG2KMw2OqNtA3AZK4Jr6V/4IGfCPwfpH7ZGqahqGmapYazpHw7uJ7awuL1reWOR7q3inNxbjZI6hZU2CZdgL7gJCkcwdCnWhVTa/C35fqTXrRrQfuvS1rpr80vQ/YR1weD+NRPFk8CrTIMdKjdD94CvRUjkaZTZO9ROg6qPpmrckYxwagkGfcVtGRLKzJjn+dRSIM56e1WXXnJPaoXHBFbJiaKsg+Y+9V5FKnANWpAOwIqvMGxzj8KYmV5AAMnOTUTAkZJxxUsik8E55qC4Uk4PU1aIsuhBMy4yp59Kp3ErHkN/jVyW2AG5jmq8tvk9qtNIzeyIlU9AacABxng0IOQwNPQbmwRWbZtYVFPBFTIBnn6U1VAOMVPGgAHHb0qbtjJIgCfb1NWolUce1QIhJG3vVmJCBwKmTsGhLGBjAH61MmOh+nFRxh8Z/Op4uABx1qG0MkQdMcfjU8a/L0qKP+8R+FTrz1qWw3HIucdKlWNWBK/Smxx5GBmpVTIyRUt2KsGzdgDrTguflpQDjrzShWzle3eovcYFAMf40+PcTuJ9jQF3DJyc0pQ4yD371FwFGDg5+uKkBGe9MUAfSnjk5HSkWmPVuQMmnYbgk/lUaDB/xqTI6fzqHuAoP8JJx7UnTrXi/7af7c/wg/YX8E6Z4z+K+l67f/wBsXklvp1loOltcSMY03uztwkagFQAzBmLDaCA5XqvFX7Vf7O3gD4daV8XPHfxi8P6LoOuaQup6Neaxfrbm+tmhSYNFFJiSVvLkRvLVS43AbcnFZe1pqTV1dbl8krJ23PDf+CnH7V/xO/Zk1L4eJ4B8cDQrbV59Sm1qeSxt5kuIbf7LiJjPG+wYmkPybXOODxX5k/EPxF4fkQ6rdeMr+8hupozbWNxbtB9iaQnc7zPvMpMkafKcbVGQTvJPHfHD42+OPivdWuk+LPihrOq3Nmm+1l1zVrq/8mRmjjllBeRnBZEj3ElmIgjQnaqqOefxTZeD9TvD4E8R3lxLfbJmury38r7LIuWVFOXz5SuQrHaylVOAyjPzNSc8xxLtovP7tD6SjShgsPzSV35dep96fsuftc/Gr4EfCLw78O/ih8XdC8M6R4ftL4/2DounxXeuXv23zZIvOSXzVtpIpZTLGoA24C3ERXcRr/B74z/sffs6+ARqn7OXgnw1pc+oSM2r31/rdtFcuxYsBNdajcx3EwZ1cgN8q7X6MArfm34k+IXi6W+i1SfUzZy2JJhWzhMbQMJDtOSCxYMcBzlztB3dDWXqOrXF4sUEd222WEfa2dhGiMpbbkABCcsSDhuDnqQK9qGIVGHJHb+v60PKdCVSfM3a/Y/ULxX/AMFZ/BFhoWoHwzqFsdQ07e13Fq8csSqyqSER4o5Y3clGXa7xqW4V25xnj/grV4FurdPFWhaboV54gtI9uk6jPYXMcdh5wiEyszQb9pCOpKMpfbGCg5K/mbe6zquvyyXkFusSeetxcTQKkcOS3JVFACDOPu4C4+6MgLZ0VtYkcTWeoSyorbhFbOAQQeQGbIUZBY5HYHruNEcXPmH9Vi1uz9h/hF/wV/8Ahx4nNsfiFo39m2hjl+2XkJeYpIpBXYI0YMpU5+baQVkDbNgD/XPhLxl4T8faT/bvg7XrbUbQStFJLbyZ8uRQN0bjqjjIypAIr+cyPVfEtpM1lqFpdQO8KG4gaLLuW+ZSvP3juXaw5O7Pcg/UP/BNf9tPxP8As6/HzRbDxX4pSLwbrMsek6pb3kzRW1tbSTO6XW5idnkSSsxLA/L5oyu/cOunWbdmcVbDypptO6P2glC5wKgkTbwR+FWnUvypqGSMng/Su6LObQqumB7VBIO6j86tSIv1qCRcDAHGOK1UtBFOYYHIqrIcndjpV+RO5FVpI9vUZ+tXzE2KrjPSoZACcmrEg25xxUEg5z+gqxETrxtP6VWlGflANWXOfSoJcBsECqREkUkxzk1ImOKrJJgBTj86mVxnrkVLLLSbgff2FWIhyMiqsTgHrVqFvTH4GkwLEWB171aiUNwPzqqmSMK/X0qW3E64Hm5+orJ2KVy7EgY881OiAnpxUMDHo2M4qxEQDxUN2Y0kOWPA+YVNGO4HWkj2HgD61KqAnA9ajmstAsCZ71KpBGf5VDbXFvdw+bZzJIiu6FlOfmVirD6hgQR2INTAjPP8qjmvqimrDxgAZH0p4YYyRxmonnERG1GNRy38EK5ZCO+KLMRZLrnjNKMD5RVKLVrdmAwR6VzPx3+I2ufC34MeJviZ4X0aw1G80DRbjUEs9T1B7WGRYozI+6RI5CCEViBtwzAKWQNvWZPkjdjS5mkjtBx0rM8b+MtC+HXgrV/iB4nuWi03Q9MuNQ1GZULGOCGNpJGAHJwqk4HWvlf4Vf8ABSzxFD8Eh4q+P3wn+zeMPts8L6H4bWZYIlIke1Nw92FEBkRDxG0+Au47Wbyl8F/am/4KY/Gnx74F1TRRbaf4P8NajF9mngsEhu7y+tJ0aCWB5LtQgPzMcpGjKcDd8pLYzrJQut2irKM7S6bn0z+xV/wVG+Fn7VXhDWNY8deHR8PNR8Pvbrq8Osaskunp55dYwl6VjQszRuAjKjELlQcNti+Lv/BWP4DeDhLYfCvQdU8a38cUcoMSNp9nhpCrK01wm8MqgtxEynKjcPmK/BnwQ+Atv4l+Ht58RbaxfTPD+lWubm4nEDte3axxOYY3WZ386XeCwXozogVVJVeZ1TxfreqS3Gn6R9ikv7m6EljHLMLWN5c7kdnlV3VSi7QnTEgULyQebnrqmuZ69S67pRnJ001Hpff+vyPafiz+1d8Qf28Nb07w74t1Pw3L4d8P62mq2+g+G7VJvNCsUiln89mlmKicL5SKqTdCnzADwD4/eMn8N30/w41GJLh9H1GZJ3sZV+xpIJTG0aEyOUxISCjbDIOfnyu3mv2XPG918C/2ldJ+Jfj3QNHi0yPwkusWFhb6azGMyy3EFvCvmTsQzxQOfOAdY2YHGwZNn45X3irx3491/UfHmkNpd3quuzT3mgTb1ay86Zme3cMm5XG45VvmBV1xxkeTmNaSwnuq3M7NnrZVR9pNObvyq6XnfVHF/wDCKw+GdQGpXV5FclreNmlt42WN4uGkJXBbtgMACVX5RkVm6L8NPib8TNUns/Cnh6+1C4hLG5a2tm8qMNlmMr42xjCvJvJUbVc8AGu18CfD7Q59UksL37dL5mlBbudPLVwnnsSJCCUTOFwBEMn5lBwWHoegeLdGuPCFpoPw7vLa60O8uNwh0wGO3kVWNvI6Evuk+eJiWZmBJ3AlSTXm4HE0MNCU53beyW//AAx62Np1q84wgtt29uhW+Gv/AATInvrCLW/jR+0t4L8EW8Fj9pudGz/aWqhFZmiAto2USoY9jDynY/MykBkYD6H8H/Bb/gk/8GtBsLu18C+IviNdRPI76jqNqRKAxPyzRS/ZYXHzHGY2OMAnha+VLzxZ8RtS1nVPDPgbWBa29vp8DadDpdgjTTSSn5slxJ5mNrBQAOrZDEDF3V9P+JumeE3u9L8FeJ9Vs7G6e21LWLLTLmcxTiQb4pWQHBHynaR8uQeBnPQsxxklzUaaS6dX/WhhDBwi7VJ7fLt/mfRn7QGnf8E7vil4Jt/B/hn4F6loV7o6QR2Wq2upw6fciIPF5kc0gecyjyk2q0ySlSTjbkk8/wDBvxN+xn8EtOvtI079k7w14te+1Iy/a/GXie11Ca1CxqghhzpvyRr8zdCxLklz8oXi/Bv7OH7QHxI0a3i1XwQlpp+oRwjzvE2o2sAMUg2bysk4ds8goEY7W6DcM6kf/BLz4ieLdMl0fRX8EXUURmb/AEbUR5aFyi8DyiVzhMkDoF56CtqdXOqrT2/7d/UUoZdBazv8z2vTPjl/wT68Q2MX/CwP2OvCmnyW8jvawaDp1jNvIVl+YtHbEj5m4O4Bgp+8oI5/xp8Jf+CeHxzhvNT0m78R+AtWumaK1m1WKa7hlmd1Iuisc0oAXBUZliUZywwqlfNdb/Yo/aUTVLrTNN8GaZewiQSK6eJ7EBgCN21XlDcphuVHDjHPFeU/Ef4MftVeEdLHjjRPC/i/R5Y5WsYkuLNniubzzE2RRwuCsjMDIq7VO7naSUBFU8bndP4439YhPC4GovcnZ+qP12/Z7/an8C+Im8K/BLxR8Q9Pv/GUuhSLLOl/5q6tJas0TXMMuxUuGlEE8rLEW8lopY5MMvPsslxFvxux61+R/wCwx4Jv/i/+0t4M1jTYxp+t+DZn1SfWBHtltbYQm3uI/llicrMs3kFVyA0m8o6owr7h/aL/AGq/FHwS8CDTofFXg+HxRHbqYG8SXaiO+lWPcYkjEsBZ3AJBQ9TxHyBXvYHFfW6PtGuXp/Vz5/FYV4Wq4J3SPoaeZd3XPpTGZSucfWuf+GPjyx+Jnw80X4gW2nSWa6vpcN09jOwaS1d0BeCTHSSNiUYYBDIwIBBFbjMqrhSBk969FNWOSMlKKkuoyXbk88VWmx2NSyuuPfPaq80qEkbqpOzBlecnoRz3qs7DJ5NSzSA8A89qrPKAMZ5x3NbK1iHoI5XOAfxqCZwckelOkmJ5xUEkmQQTmq1uLQz0kBO7NTRt2Pp2qhHIexqeKUnrjikFy/FIQc5xVqCUdGNZ8U3zZb86swyocYbr0qWUrGlDMOCasxSKe/6VmRSj16+9WIpmwMGsmN3NSGTnOfxxVqKVd2eKyorg569vWrEV0PvA/hWclqUakTxt8wxzU8bDGFYEisqO6HTNef8Axw/aQsPhZplzp/hfRTr3iCKAytp8c4ihsoQrMbm6mPEcShSSF3SNxtQ8kYyairgmj0jwx4lsfFGnS6lp8cqxxahdWhEqgEvb3EkDkYJyu+NsHuMdOlaO7aMYr4F/YR/4KKS6ZrE3w8/aOvrOyg8T+Ir250HXTdwKsVxJNvlhuY1kP2ZGeRWRiAuXYEkDcPu5NShlGVcHjj3pQu4Jkxba97RlwspHNRPHbPywGT0qu+oIinK8AdRXxd/wVl/aF+IHwkv/AIb3Pg3wdZ6xbx6hqmoJaX10AjX1rZl4CYvKZnwhuAu10O9l57rNWpGjG78irSavFXPsW61KzmQrpFyCCATMhDDB7jOQc+tfFv8AwUe/a4034C/FDwt4dsB4dvr+Pw/qOq3kHijUfkgUMggaKFp40d2MdwOhPyoq5d0B+jvgx/ws7WPg/peq/Ezwbp3hfxNqOnxza9Y6RKsix3RjClt5Ubm2qvB3bcbN0gXc3wp+27+zh8AfiV+0BoniD4qfHbQV8M2Phs32stPqv27VtWhOoJNJb2SRjPzfZhCD5qFFnkZAVgZRy4idRK6lY7HSSSjFXO18cfFjwR4U/ZQ0Tx3rElh4r8X/ABG0CO8SeDTEWKNJYo5JUXaXiUJI6bhuy+EDZCAr8b+NtO+IGrnS9W8JPdRW114mtLPUZLOE+dL5yyLHBCwPm+exBwqAsQjgDaxB+xfit/wUi/ZT0rwwPBPw1+GV7r8dhptn/wAI/bz+ZbW3lqqh4pY2AnSSPGAyRyqSN2/PFeFeOP26v2i/F/jGy8R/Di303wfaaPeNN4bFpotoJLGFw0UkIkuI2eXMbBSfKUNsVhsHTzsVmmXRVpTv5LX8Tqp5Xiq8vh08z2H9k3/gnR8RPAv7Kel6N8eviVf6Hrb3l34o1vw5eTC+S1RkaJhsjcSE+WsZcqzFXUqoBJJ53xd4G/4J8/DOC407RPjfrGrasro2n6xo4+2xW+bdUZ1eFGjZ45CZhHIYmLIEDBQ7V89eIbz4jeMrmPxB8XPiTPqkNs7y2kVzLuitGCucoJCY4wNxb5ERQd2RgkVW0TTfBs8cOoeH7tNbtGjD2V/9o+1JJlyCFlZmAXcmBtIAKkccV5NXiRxjy0YKy011PWhkKqO9Z/d/X6Hr/g/9oz9n74BWNif2dfgA2pa3p1q97p/izxfLHPdvKZZjb2u3FxHDFHHKikw3EDSfOR5e7cfGvDEHjvxR4vn8QfEjxXpM99qWoyXl5JqrwxstxK0kzyyM7mOUbiFACZUFdowm4Z+mapqHiue/t5dOewtLeYwx3cGGad4rqdGTcw2cxpCSOD++PTINdl4b8AHxDrsWoTwRC3tLpXvbG6lKC8ZJiwBfCOqMmyMskgwSAGB3EeZUxmJxk1Go9vw+X9M9KnhqGCg3EzPh98IvH3xX8aap4C+EnhLU9fvtSkS5u9WsrZ5IHmSZpEllYK3lDcrEDcijGQuWzXufwo/Ys+EHwz01o/jp8ZtIsU8+S1stFhvn1F4pDFKJUu7fS33RNHOTiQXO1lXayoxIrmPD/wAaLLW/CNt4D0bxXeX2jaRNFBb6eIjDaJOkSSJOsbKsbTET7mlVN0jSSMxZmYt57ovxf+KPi/xDHcXDafbaeIZ5L0WsA3SPHO8MSMH3BgVUscKCCpBOMA9NPEYeh8NPmfeW3yX/AA5zVKeIr6uXKuy3+8+m9H8HfsZ+ANYstEnm+KniMaDDJb6LeNc2lhaOCTIXEkTw3BLEjc0gLHaOCqotdO/7Q/7Pc2pp/an7GmlX97bSDytV1C7N8/yosYladrQuxKqoLMxLADLd6+SNXm1/xRe2t1f6reW9jHcvJcrDqUlrH5RWTlyrhNucDBO3tznnF0RvDWgWtzNZ3OkLPqE6fv8ATpYJ2uAgZV3+SWLY44ccknHLGtv7VxzXuNRS7JGby7Dc3vXb8z601P8A4KOav8O9RSwtvD/ws05ri58vTrJbTyZhuPA+a8XcxO0YCgkkDHIrT8L/APBVPx344tv7S8Oad4E1K2EjRm5tUlkTeDymRdEZwykj3HrXyZZeNNPWwNhb6hcm7kGZWGnXDM25CowYEeMYI+4zj1wRVPW9RvtWFpYaTLHd3QuJfMt7GSQbl+9jfLCuWPzHCq3C5zWMswzCSu6jN1gMCla2p9W6/wD8FYvG2g6imn39j8Pop5IjcJb3COn7kKzE5F2SwAVicAY2knAFMsP+CkPxI8b+Vr2geFPhncWsg2x362E0wOG2uAy3fOGyODjIx14HxxqWktqWswSXsN7aNaRS/wCj3MZmbcVkUgtgHhX5zgjGNvaqMDHwvFp9lFrUnlRCQSC0t28sl5HYnJUMT8x5OBkcdc1ax+Oik1VYvqOEnGzifbHhH9ubwp4f8UzfES1/Zu0O+8X3cctvqniPQtQbTo7qJ/LJVxLHMZOYY+SxZQMDGTnnf2trf9jT9uBoJri1vvBfjloYki8Uz6cn2K9kMYVra7kiaRxD8oUTOmYlYNyqyKPja2+Gelr4nTx7Y6ppqONbutUZp5javGrRsCzicJvPyqPk3ZyuCc1u3viH4o/2tZ6/o+o3V7YIqwahCYA8TAS4+8AWBdSO4yIzwe/VSzfGU1afvLz/AKuc08spSvyOx+o/7C9vr3ww/Z48D+CtThsUktPDNipuNJn3215CqbRMUz8vmgl/OCq7nb5mSpWvoa01iHUIg0T4bHzJnJFfirb/ABO+MfhjUrLxL8GPiTJpNoJY7u60hbp0ilnjcMskiFmhlbIGPMiYfKpAFet/Dn/grb+058PXt4/ij8ME8URWiyF59Pu/Jub2V+RJKypL8o3AiKGGEAkdsqfcoZ5hpJRkrfiv8zx5ZPiIQ01/M/VCSRweMdKpX/nvJC8dxs2S7nUg/OCrDHBHcg856fiPnL9lz/gqR+zt+0p4s034X6VearZ+J9TnNvY6feaQytculs88kmYHmihTbG+A8u4kEYwAzet/tJfES1+EPwmu/iJqctwlvpeo6fLc/ZQDK0P22ASKoLKCTGXHJ6E17VHE0asOeDTR5VWnUpS5ZqzOuldj82eOhqvI+ec/jUlneWOrafDqumXkVzbXEKy29xBIGSVGGVZWBwQQQQRwajlQAkE9u1dcWmtDHRogdz3xUDybevX6VLMwU9PrVS4nLZWPjHUitFqRLbUxYNRRjtyc9/erUN5u53VjxqN25Tt9KswuQuGPWhxMlUaNiK5yeW6d6sw3G4ZHSseOdgMg+1WoZSRlR17UnHQ1UzWinJwc1PDdEDlsVlR3LqMsMjqTUi6kE+/CdvqKhxuWmjWM0gQ4c06C8dD8/QDODVOG6Vo968jvXiv7e/7X/wAPv2TvgLqet6949s9I8Q61ZzWnhS1eQm5nuG2RtPFEqSNIsHnJK/y7MAKzLvBrnr1I0KTnLoXFOTSR82ftw/8ABWT4k2Xju++F37M4htNM0m/W3uvEybTJqko4ZLdpMIkIYON67i5jBDBWw3y+f2hfjXD4P8S6ZqV9B/aesx2ttqEl9qiGUoJ1uGPLbVJMSKwbAKOQfU8/4G+IP7HC6jJq3jsfHTX7O3upIhfeDfBtpaQzMwj8h45ZrsleMthkDMJU+7gh+sTx1/wThv4007U/AP7Wr38bI93ANJ0jezEEK/lvKxC53lSAQMkZOa+cniJqTbqK79fn0Pap4aDglyN7Hu/g/wDbr+BfjX4DR/C/43/s66VEuh6jaSw22mXOyG4XiGeYtAVKTLbGWQEsFcRkhgVC19VfAz4z/CHw1HpOlfB3x9HZ+Hrk+ZPoGtX090iI2QZreeZ3kg5IYpl4WKYVI2keWvzU1D4lf8E14bCW6v8AQ/2tYIc4Vri30lIoyNy7WJk6qSRgkYxg16P4O/av/wCCVEfwnFhpfx68a+FLtoRHHH4m8NX9zdW7hNm/dbQTwDjIwjY5OAK6aWYLVznFv8zGtgndcsH92x99/F7/AIKSfsqfCC+1DQdX+KNhqGoWEMpa00mYXSmeNmV7Z5Id4gmDKV2TbMHqRhsfL3x3/wCCjvhf4r+M9L8X/Df9n+PULzw5Mtx4a1TxWcmymYKzs1oGMUhEkceyVZFkX+AoCzN8J+DPDXwx8OeJdasvhd490rXdL+1i60jUNKu45M2twBLFG0at5lv5ZZoRFIEYCLlRkZ7a+8Qarp3i/QNMtpFFvcGdbuNoQ5lAglK7iw+UBgDxg5X0zn5XGZ5mEqzgrL0PosJlGD9ipSu0es/EL9p/9qP4uX0sXi/4sXGmxS6jNdQ2OnrNssDIqrshlUrKsRVcGIyuo3MMYbnzOHw74ah0mfUtV8VSalYW0Dy3jwvHtHlK6yA+V80hUoVKNuw2ePlwL+qx/bdFnsLciNpoZVBnukjQM2V3M77UHUZJOAOucVleFtCtbnwncaDfXlxaSyrf+e8SZaITyzMJAm5QW2nIGQTgeteNPEYivrOTZ6tPDUKOkVY0/CttYyaJbSaZZxWkc1qlxFC8aps8wKcNt3EMAffkd6yfix4qufA+n2M6axJbrHqbR3tyNPjmLRi2nYLskYbULxodysGGTjPIrU02wk0nQ7TSrdGZbS2hgRokH+rCqqnjpgYOAexGe9Nv9IuNQiFlcFEK3MTxybU3q65JYHqoILJxgnJ68EYrSWpvZLY09ct5dT0drKJ8SSW7JC+4AKWiGGz0H48dODjNY/wostT8M+C9O8G+JoYF1LR4FtbkWQiK7kYgMrw/u5sKy7pEzuJJJZtxrY122Fpp0c93eyQ2yyiYzNgbFVl6fNjaOM8dGHOCKq+CPFPhjxJpdxrek3gktUnEZnurcqjHaGBjdsKV2uCGAKncRmnHqHNrYuX15Nqt9G+oXV1dTw2axRLelnaKPhTEu7OArDlAcAjkdKg0q9jiKaDBqh3WmoXM5toXK/MX3NncRjiQkscYMo5GRWZ4c8J/FbRvGWo614n0/V7bS52uU0aLVcwpdQSOs0UsMbkGWPZKAJFBVQVUkZAOv4J0i5uNU8QHTtQSCSKcRajJNGqLas+cMx+YnezA4GGOUG0k4bopqaqa9jkqKLp/MfollFpV+V0tBGJljuJBHdiWUskO0kDy1CExBCY+TuVgCwqxNo8N1IVtr27ihmG1rWScJExBRjJJbxbIy7Nk5CkfNj5uK6OWy8KaZdrJeaz/AGtcqJI7K1tIzEzv5QmVeC0kiSOzkSDyyPKK7ecizNcLqOmahpPguyTzHsYbu0bU7k3LRoX23CyGYvE21jhflVcKzMO41nOEOpnGMp6o4i5g0/w/pto89jejyfMij1UzCa5ldHbLeXyyk/LhOBgjBVQFGZZw+IbnR4ZtN8Iy3XlgRfa7SydleZm2hWUqCjkE4BJOQeMV6bBd63qp1zw1Y30+mWcGhJdaXHFPsk0yECJ5lR+GLNubc28klep6htpFqtz4v8OLb6/dudQ8Oi0lJuZAZFxLGxOJCryF8vvxkv8AMPaPaw5XuUoy5rnB2fgLxy6rYD4catC4QOJLuHEduHPzAJku74blAGPXoQRTl+GXiyCCOWfw5dQyg4ubsmFBbKIt7O6sypFgfMrMOQCRnAFXnfw3BomjTWcNvHb6dq8rWMRufNMAZbdzNGnVD5inGAwDZOMscX3XwzcWni+xu9a0tzf3isvmzW+LsG6LNIylRv8AmJfJHPUcc0/ae7sPXmuYZ8L+OUWSKPTrSdmBIV/maVRtZTGwyXGCCXT5QAeQTxFqHgDxjd6ek/2C5AtYCkc8dzA8Uxyy/JImBKflbheuwnGOa6m9n8OeGPEXh7VNL1uzhuNO8FmBbsX0Yijm8ibEAAJAJf8AhwfvdzUfhKw8LWdv4X06XWbSFYpbqUMHhJtJQwI+cqOT0wc/QcVopcq2IfNI8t1PSfF2gyTadqvg3U4ibUSzGSxZVjVSAQ4QLgAkgkHOTzkEYe+mtotytrJaTW06IEimFu8LKXWRSgKgAAA4I7YJ9Meg6JK32bT9S/tSHfaRX2rTp84VmJcAlMg9FKnjjeem7FTahHd6VpsMGsW0OppDbQxusuJHI2rIcht2190iJk7TtUEEDGNY1k90ZuMtji/DmnrJosVzf3PmHzS2GxHKVbBG8biMgkgdMfLkncTVDS7/AFu4u9ctL+68wRX0k8UcrkpGHJfaN5ztBUe46DPUdDrFlpWnCSLSLcQxxeXM1qrN8m1g2PnLHnapPXPOOCKpT399b2Eb6gV8tx+4i5ZUVsg5+baCSSeBj+dKbV9DSmny2PpD/glh4i0Lwl+0ZrWv+IZYDNZ/Da88gK8ZuJ0F3ZMYk3YLE7eBkZYEnsa+gfib4C+Mv7VXiGx1j4sfEK38CeEdPv4LrTvCOkXPnXlwig7jdz5REmJOMR+agVioOQzyflaf2j/FXwQ+MGkeH7HTFB125tob68lQ5gtzOQ+AiszgAk4GMbeA2eTxV+3x+0r45LSTeOVtI2IE1rBE8scucEZWdpAAD0AA7Z56fU5ZilTwXK1f/g9D5jMcNUqYx2XbrbofsP8ABXQPhN+yX8PV8H6b8cb290SCVpI4fFOswTG1LkZRGREMalgcJ93czEDJOfRvDPxN8B+Ok/4pTxZp98/lq7RW12jsqsu5SQDkZU59cc1+I/xK+OXxjtdQtdUsfEht4rzSLC4Oywij3vJZxySbdwZmGXPOT94cc4rQ8F/tD/tMeCdL0P4xaTd3pg03VlX7fPpyPBLOknmojPsG0MAybA2SInwRzj2KeMkpJJaf15HizoYvlUoxjr5v/I/be5OVOOuPWq2MAluc1jfDz4g6D8Vfh9o3xJ8MTM+n65pkF7Z7iu4JIgYK20kBhnBGTggjtWo8vy4PXNe1BqUUzk5ubU5xHX14+lWI3yMFue9Zr3ttCUE1wqeYwVAzY3E9APU1YjlRVOHGB3Bqmc6aRpQkjGDVhHZQW79RWZaXkE0azRTK6sPldGyD+NWkuFCnDcYNRK9tDWLTLel3GpPbB9Vghik7rBKzrj1yVXH05+pq1JH5iYRsH2qpFcp91j09qmWZcZWTafWp2NbroJfapZeHNNudZ1bU4LWztLd57u5upRHFDEilndmYgKoAJJJ4AJr46/bq+OP7K3x9sNJ+H/je91i503SdUuLpNX0W0RRdt9lntWjtp5spg+cx37WRvLGCQQak/wCCu3hzxE/w18P+PLT4n6va6XY6o1te+HbSCJoLktFJIJyHwHZREV2yBl+YFTH+8MnxRpug6fZwLNEt6sjo8kQe/mKOCdwDAS4zn5u442gY4PyecZ7PC13R9ndK3U9/LMp+uUVV9pbXsfUfw6+Gn/BM7xLdrpHiT4t+KbOXVn8y4ttd1lLdbaZXWRiZobdVUsQPmSQqwyAeOPUoP2d/+CSUlzLf2vjnwutzPboGuLj4lXiuEUkqNxvBg8nPc557V+enhZvCOp2dtqXiLR7KSOK7uYZIktEmkjG8IgYuoGfkRuCMKAOQOFv20i10dra00XTDex+YYW+z7kI2kgZI5IyPmUJ1Y5JbI8Gedy5tKEbnuxyRRioyqM+7vFn7Gn/BLDxh4em0jTPjL4e0+a4H7u90/wCKckkkW7qVSe6kjLHplkNeY6l/wSn/AOCeOs6ktl4C/aYh/tFw39nWFl4v0+ZBKQAW8rYTJnauVzj5SBt5NfLvhzw7p9nC0HjLw3ax3TTESxRadtaP5AeFc5T5SwOWx8/TA2txfxd1Lw/4b8K3HiPTNJnfJDxRqpibY0mwlpRuRSckhApJ68DgRPOItuNShF+hpDJ5xknTqtN+v+Z6/wCKf+CZ/wASP2K2vvF9r4lt/FWhO/nXd/p+mNbyWXRWMkIdyUGAxkDZGTlQBuMGlXUdw39ow6zGWmjCRyi4ciVM7iBtyCOCen8J9K8T1LXNf8M3CXnhTxhqmn3sTFbe4sr98xZBBKnhlPUcEHnrxzp/D/wvrM3izTrmKxn1MWNxLNdagYXLxK0EqFZGB2r85Vdx5LFckk4Pk4qrSrTc6cXHyvc9HC0qsP3c2pedrHrd5qNtaabd6pqTPNbRW8rTxxkMZVCszDJOGJAAwcZx15FNn+Jelf8ACsdR+ImmaXMTb20222vJvK3eXIVJLHdtUlWbkcKc9+G3Gg22t6JPo9tJb2i3tu8LXG1tsYcFdzeWrMQOWJVSeO+cGTQ/hxZ6d4El+Futa/EtvqAne51PRrUzsyzSGUFY5jCWKsw3AsAShwSAC3JSUpXO2vCNJpXNZLXXJ9Js9fvorGOS5gWSSO0lW4hDlc/I8bFHTO4Bl3A8EEiuN/aG1LUrPw1p0N/BfR2k93eC+j0+9Ns00YtXwQRG3PKkqQwGQQOBntl0/UdC8FWXgGK0mmi02dYhKEZTOvEYJXn5wDkqM4IZN3GRd0LQ7nXr3SvEOpzT2t/p8v2vS5o9PhIhkA+QkfMWbLKMlTyBznK1vHSWpzuavdkHjlRpvh/WrQzTPJ/Z83nGRPkUMg+UDbyNrqOec7mHrXHfs46g83wr0yLxHbpatcSwrpYayS2N5HFZoAVVUXzBw4djnf5b5bepI63+wr/wzrF1f/2pPZTX0tvPI1rdKC0i7S87AjOfmVjyWwvy8vg1tV0Pwldi21M6dYeRH5c8DWkm1kk2zA7VYcIYG+difmZlA2sPmcbWaIbbtoSak00Vw32bTli07AcXkcbIZWbP7tGcHODtIORku6jjLVn/AAuu9A0f4na54bvtQfT479ke6vTukaSSFpWcKzHeWk84yAKNu1MphSCOS8AeCPHC/FrUPFE+290+9iu7GxlbWlnkhDyWYhDRLIZY1ZrWQkOgyvzEYdWM9nGx+It3qH2xrcokZkNrEAsnybiUXljwnJbklicHC41hFxlr1RlUalHQ9j1vxlaRXlvF4b0+wsbe3vku4ZL5SkCBJJ5VYnKAKEkcH5gOODnFUJfEXha+Eo8NfFTStTlsNMX+00ttT88S2s6lowXRduHUnacMMYboM1gaK0WkhrWaQTRtprxAMmA7eSQHLRhgC3GMALkjtzXF/s/3djJbarfHT13DS9GRJEkk3rstpIyGO7YcFPlOwctzn5SG7PRijH3b+h2MmtvaSSz6zdXH2aLT0tUurSQhnIGSmOoTITg+4OOlLZ6jPPuC6fPJLgCNBICVVjggnHBPK8Z4zwOALd/ZXF1pyXWD5jMcLbqvl8gn7xJB2jHJ5OBkdqSa4SK3YytHEAmWTeH27jtZkCepbJ4yMAjrznGVkW9dUZ0k7W18kEmlNCkkjqy2l0QY2QbgCeWCg7fmAXOSOecx+Ktb8YWltcX/AMMfC1hLfG8QeS1hNcL9n8pm2jEqsf4DknnDZXOdr9TPh3TY2aGQSyMxSZo94eReQWXIOFOeQ2M454HHPeIfDlh4q8Mw6JD5MsbavAIftcsNtbwthxkvK4SMjIBYsBxnIHA3hGEpJS2vqSlPdPU3dK1jx1ql3rGl+M/D8ENhG5bQ7i00uRC6s7jcxd3DqQIiXAX1x0AxIofDgMUr6WbqZJ3L+SiKEUjJ5x0OMDBONp5yCaxfh5BaNqOp3tiSJr/TPtU3lwLjA8pg+cnLfvW4YccHJOcakmqzpcxWEc0sfzLtYQuycjAzkEHg547k49KcoKNT3VoEpPqJBd2MTS3en3gSJCzCOa5BdCcvyjE5HXkggYA960dH1220sTTeIdauRbEtLL5Xzg72jAz5ZJOMJ25CggMMVl22oRi1mluVWSPydkk4gCh8DA59RnopA4U4OKz9aubKDTrm3t5oVdvLbdAmA43xk4B57ZOR1z+FSsosmMZSaid/qOpRXlqkDkTNdQtNM4hVjvKfd5GB8w9T17YrzO1tTB411m/MQ33drGwjEKjaqoAqHnAYMW79+lWbbxpbtPf+H7rT40tI5JSZGXdncRtGMdgw5O77pJqJtYmCXGs3VsskptSiNNIT5i5PyqrHGWIbkY44Hem4rkuxwdnaxkap+0P8C/hb8Q9D1Xx7+zPe+NPEOjal9qSKXV/sdt5I2LCGj8uRpH8yMkqybQCDgknGu/7X+qeIZLmH4I/8Ex/Bgswz3VxFrHh291yeMuGO4yoIsR4ztQrtAHA710/gn9oL9kLwNZLK/wAAT4j1y3u2a7v/ABNo0En2sscELKGc2wU7gqBJMIqlvmZjXtd1/wAFYrlrYWPhD4Gf2eTG3lXVnrkLKpx/Ektod2DkDAXkdxXvYTE4ejQUZVkrdErniYjD16tVyjT37ux5JoP7Z37d37TXhpfDvhf9kfwdLpOj3MS2cem/DW+mhsLi1ZmjiU+c4idPMchDjAlbja5Bx/jZ8XP+CnngD4f3/hDWfgfBZ+CorNpb7SLT4RKmneS7tJIGYQnyNrgNkSRlWZWUhgCPddN/4K4fG6IyXNv4E8KLIuFS1TSZHc845IvCDwc5x+HWobv/AIK9ftRzo9zD4I8BxtEHUrPZ3secAYztm2n5iASCRggjJytdP9p4FQ/iyfmrnOsuxTelOJ6J/wAEs/22/j1+0F8M9ftNQ+GPhjSv7E1y1sNP0nQPDt7aWsRmDs8ru00w+Z1JKqqBSxdjtfK/cGkarPdWUcGrGCPUEjX7bbwSbhG5GeO+PTODjqAeK/M7R/8Agqx8btM8S6hrs3wh+H8Go38ax32pW3h+UXN5HGGWLfI1wpdVXaACzbNxxjA3es/s4/t7fC/Wta0bxN8UPAl1pev30VxC2oaNbtPax2SMF8y4LzNKhUBSceaAhUhsv5ae9leaYLEU1RU25Jbtbng5hluLws3VUfdb2T2PU/FP7SH7BHx3sPD/APwmfjS3+x6fr66hpd1frd2EEV3bxyHdJKNiEBDJlJGKMCcg44Pjf+13+yb8OdQ0v4qeCNYsfHfim5sptI0mw8O+InkhjtDJHJcGQRs8MfzRxjcUaV2VVHyqxT86tW+O/wAQ7LQNP+FNv4F0u1tvEcg1SK3l1IMkgMkO3eoCKjbLfYM9A8h6lStTwV4/8S+NvEa6Vq3haN00G1eFba3uITBDGrSO2xpJFADSlmx8wPOCoI2+XVzdaRoy1b6p9ve/DT0PZw2VyUnOtT9xK7s19336H6efAH4k/wDBPTTdO/t/4PeOvBvh+afRYYbrQW1+O1nsreGe4mSKSzaX9yUlu7htyrhhIMMyeXXZxfFv9kzTNYu/iNJ8efCapqFnb2U7nxfC0BMJndAi7yN/72TOOWAXghRj8irL4gePfHfhrVfB2keB5L7TPDcV3ctcXE4WWz3hN0wCynYUaMkCMk5ywYZGO78H/HL4ra18QLT41+H/AIM2J1Ke7nlt2tWiSLy0h8uSNYzIzgFkDlt4yw3AZrSlnEZxjr08+vbyvdEYnLakasv3el93a9t1fzsfpWn7RX7H/h/xzdeJbv8AaD077Vq2m2VvHpUuqFogkbztHJDFt3bpPPILZIcJHgcc83qn7Zf7Inw88XXviCw+Puo+LR4n1O1Q6NpdxHd2ugIsCxtMm1FeKFiqs6F5XaRiY0+/j89dJ+N1toH2v4TJ8CjKmv2tlNf2c2qWzfaTFJJKW3BNg3vkkNyCoBJrB+GnxB0a7hv7a98DFbSz0n7PbW9jHaj7GFbeSmZIww3tgDBJBIJGKyq5vJJRpy1879NWv0+fQvDZapPmr07RSvpbrov68mfZ/wDwUA1X4R6n+z5aaD8P/j5H4xnv/iHJqDxTapaXctrDNHdSNCnloo8hHcKqyBjtIQsw4r4ruNZvopcvoh3wSK2WmwpjwzfLjHYL8qjI3jAI64svxJhm0U634b8Ox2b6e8yiZ7CNY7h2nBeUrEx+cq6ZJ5IVeWwcbviFrm51qSO5UuWhCSGRN6YUKOvTj5QeePX5ePk81xKxOL9p0aX5H0OX4Z4Wi6drav8A4cq3PiW715orW1ku7sRSi2hiuJ5ZNqgYCpuYttVegXgAA9Bmo9S1KfR4hfwW06sokKedEqsOeA20Eg9MYOQP1JG1C2gjVLN1eO9jURrCOflLcZAAJ2gkjnAbIwCKj1LTL7StkyzTpcXM0W77R1fksVAOS3BO4rjqAf4ceW9dTvvcxLjxZqN8Fv55onuJiREUEZUPu4O7btwTjHI+lVdUttR1nSn0q+8P208ccsT3NkbRXOQQRvU5BAIPXIyPStDVJLeAOGuVVY3dU8mPJk+bkjBPqRgKB1zyAK53x3qWraJ4QOpWl9MjvqNtbldgEjIZ41ZSMAKDGxGcZ5GCuMmFsaeZz3iG0kkv55bpHErSgsgIQL1OQAB15POe2McV6p8LY9Mfw1PchJhK8jZfyE2ldzfIp6swADFh2kHXcwHk08t1eaVaa3qkks9xcWUBuZpI0BfKry2OwJJAB7k47133gfV/DNnr+nrNqVxFEkcjRxxhXgmIWZnDYkAUD5+gb7qgkYyrhFuL7kt8s0/66Hpmna5Z6N5Op311Fp8NvAzT3VyRiHaCd/JAwOOpX3IxVoeK/DFlZ3PiTVfEDXOnwiSRtQZjN5So0gkXCZ3tncCMMQwGMFcVk+I9QsbjQNSltbhZon0+ZfJjj2LIDH90bV2j5t2fbvng4llZK/wUnXTbB7rzY7yNYkgZlZ3uZUA+VtxYE+oy3bBGXTg4IutU9tJNo9A0y5hvNJhudP1W8lhlaK5WYQGPacAoBuGUU/8APMgAEZHzA1S8bfFXVfh54f8A7VtvDn2ua4dvMjNw8ChjFJJkbQyFiY1B+UYBHJOKyvD41rRrPTfD3iKW6tLm2sY0ls7mx+zSiVQQQwABDAg9dmAwGMYNT/Eux8Wy+ErrTPBV4FuAZU1KK21mOD7VGiMfJbdIqznzNh2AN0VgPlyOjkvNHLztN3OnvNVgtdHvL2z8kXgsXKsnyu0iZfAxEHAyAQNwxt5PauG+EfxD1zx54U1q6+Il5HE8cq2u60jkiWEmC1fG3ftQBzyTkhRjk4NbOoaulxos9vBYBILi0XKPK0awybWUADgq2QCF75UEtyK5nwjoEnw4ivdEvWtNRxdJLb3VgWVAoijTaTIqMDvTqFBCsmMncBMY2Ur+VhqT01Ox8a6npelWkF41uo8uVCrQQmNSWRSZGAPbHucvwOOMS/kk/wCEntbRdOsrO1UuxSwhxtyhPUKEQMc5XgDAA5asDRviLc658UL/AMD61pCm2V5kTlw6D7PaOpIJGCPOnJ6ZCJ3XLdCsGg6fqkFhaXKxW0eWV51lwcsqAH+EDLYAx1HFXTjqiJysmdEjiORriXUESGOF3mh85ozcBVJ8tQFODx93Bxg+m2sXwdoXg74ZaWsXh2DUkWNQl0NR1CNwwDEoFKxrh9shTAUdRx1NWrvxRaXN7e2uoW1wIJYixlmwdyFAxCqmdqlQy5YKxI2gZK5rTeKfHeqWtnrqeBrKWyuJ4YFMt5Ek0Ko7qGVm+ZWUuHb5SCCoU5JatlC0W7GXtHfXRG1Dbvc21tcC8eN2tTOd52NtcCQEjGTwwBBGF3DJqjqSW2mahJfy6kbdYm3A3ERQS4Owg7mw4Ljn5QPmGckU5Zrg31xeWa2cl7BaCNrW5uwUUb8q23axRiAMEYPI7cnKENlpNvFFq19ZW1tp9wZgwudixneW35kKlAHPIzg4xxxWSWl2ap9iSG40ea0ENhIZSJVCpGrufvHLEheB90E9OPwqvrl5PYQSxaTc6rZTITL5gkmRRhV3u0kQBVcc9CQCc1pwMi67d6nGloL8ZSaWCZVYbcbkZmBDcKo+8V4GOgNN8K6v4qv73b4l8uOzdt9rHpTSuQhOSrkMpAOASy7eSTgEU4X6kyb5TD8KarrOv6ncR3PiOW5itI2m+xC8u5omUkkbWfCj72V3Z6deamIh0+ZrXTrh3MQ+YQ3AYHqxUmMcnJPyHccEe1XpvDOnMusatpf9l2MkkMjrJdW0jvLnhg2HYMCwBKs4zkEkcmsvSbTxhpui2a3qRmY6k32y3sraGJcFCgVRvYqA+G8wkNnI4WrlyvbQI819SrfNLe65bSXlvbxefAfIZ5FTzEUb227iGwob7oU53AkjANRanY2cpaOGBXKZE5bcCehwQSO2DgYPPXoR0Hjb4bfEy08LLrniPQ4l02SKOQyy3EGzZJGArlftBdeWDHOf9aRgcAZFhq7NcnT49PJWyEcTRqy+W6kDJXDZ2gjGT2Ix3xTp1I25kxRmpK8Xc8x8Q3l9Z+Kri4jvDCsQBZkj4yFQ+4Pc8k9QM8A1q6XrZiNn4eaWOKO9ldbdJMq7BYySEywBwFDcAkc9cisb40tBF43i1WCcNZ3G6FWjZWWR4zy7dt3OD04x6VHotzaW97Zaj5s7eSxVRHCvyZQAlmJGBgdMNnkDOOaqXasjSLTV2YriaLxXeQNADsuiobecsOc8d+o5B7n0rbtNTuLWd7i4tUjhQFY2khOAQGBIAHP19QSM4rnfE2sofFE2oWSl45Ck0Um0o4LLjO0jI9889c4xWjo01sb6TVr27hSSZ1U26YLfuxhWJzgEHceO2OecDlsm3c0k2lY7PTbK/wBTunh0C3d7+SPFtGI2KM5DEt95efvDqMemOuxHb6tbB9I12SFroeWwKblSRXiDqMMxO4qwXrjgEZBFZnhzXbeyuINUnsiY4iXJtblLd2KhcHfsIU7fVWyX4AzmltX8KTzpH4etb7zpXfzjd60LhySUXCbbdNgxt4O4n1qEp330X3lv2bjf7X4Fy5hiijeDUrpJJmURyv5ODyfu/MTtHGM8ZxXdeA/Bi/8ACOf8LI8TWA07R4bWWxzcTy2n2qRZI2mlSQRMOftEMO4HOQ8Z4RtvmkGqWc11OtqLgQzx4VQzLgncdvzYwARgAkdMetb0mta/qnw2fwzp99bCK1ebckdvIjsylJY3mkXbGysWKrtLhdrPIuGjx9Hw7OnTxj530Z4Gd0p1sOox/mX3angOv+Oll8bjVE1XV3s7KPbp7G+KzoAMALJj5MEkjj19c10/w88c2OheFNVurrxbrdrd7dlmbW4kQS5VyS5AAI5HHBOT6YrldFvx4h+MKX2jeE2vbea+LW+mRXsLlo3U7UVjEYnVuMEIwORgHNVJvEC6N4burDVNEuJLmWZDEGEOA2ejCRC2SCfu45wTjbXkKUItLS+p9Auf2Mnray6r+rnpPw68beFrbwH4n1XXfHeo6deXKC3t4rXVDGLsvuZlmjCM0ykZ5OAGzkgsud/4RfHPwWLpND8Z/EK/srOLTEW2urTS7V5JXdkLAbrdiFVCeHOWMfXnFeFeHdRtR4P1jRprS7nu5/Jlje2MJRUR/m8wud4A8wfc74JyOKn0PWbbSpG+06PHKVtEiVDcopjuGiPlyZVM/wAQfack7RlsV0QqSpNOnppZ9e/6syrQpYhNVdr6fcke3R6lY+M/idp0Fv8AEW4uR/wjVpHc3Ml9Bpy28sayExLK6xooHHJye240/wCGt54UTStUl8RePNU06Jhtgm06aT52yMElUYke3HQelcH8CvF9p4e8ew6trPhq41RbexSJI7cWzMcoVDDzcRgbWOCfUZPVq0tK+LmsfDz4d3PhbQvDipc6qJRNqDBD5UTJH8vXjiNyMH+IHIxznVmrqbWr5u/5dDalG0Zwi9LR7Lq3va34HReBJLHVfD11a3bPPAGPnoWJGflIxhhhgQCeecjg9+ni1KfWZP7VeORLn7OURVmUbkB3ZHyggjBHHUHnOBXnXwO1Yf2HOupoh3XjSQkbACVRcc9Rhei5z0PTOfQfDcNrceHrRSsQacuV2odsoJZuATwWyeOzE44rhnol8gq2lWk0XNQ1H7LYGWykmRmRTItwg5kU9ipJY8ZGe+R8ucjOe7nIddQ1EIZbc7pLNyzDBJxtfaS2cnhR6A4Gaj1q31a1dhYlIWuQ0TXMiPKI2D9No3EDDFjtBGF4zxiCz1Y2WjLb+JYxJeQ2iNI0LukfmhAzbAQvOTuAIJAZc4J+XF3tdEac1ist5eJZNFrU1th4CskaqcjAIHDHLc/xdOeM44qWvifxToupv9msdOvIniMIF1bQXBxwC2yaN1BODyAMA4zgEG3NcXHiC4nihupJljx5lzA5YKowMBW2sD1yccgckdKy7uSWC+ZXmVIJVEkglIDk4IA4HCAZAHIOPzy5mmWlc5jxbqWt3N/K0Ph63liWZZZFjlhjVQSANkSRKML2AAxzg9APRfD+lxbLRxDG0iQFI4rq3VwE5zlirHJVyD688fMc+d+J7yNJzHBdIfLIKhgflQKx4AxkYyR1yB7cdx4e0vWpNPS6ur63G+SLcpJzJgIFIG7OVJyTkYxnPBraLk9SHFW0Z1egX2r+HL9DoOqy288DJJa3Nk+1oXCh9+9CGByuM8EHGPuk1uvaXuo6U19quqPfuoWC4S4uTI23C4DLKCWAG3AHY444rnlfUtH0TV7fQLiRo2sbrz0s7gRureRKUBZUYoAxGcY5x1xV/wCF8GsanpFrq1pFfX0hvrmZlh1OWSRCLmWJPlDIGCgqoBOBwOdgrsUowaiclpP3rla+nsdJupLTTrxwyF9ssKnKbt2D8nAOM/KeRhQeeKsCxnt1MkfmPPLfLBdTTz7CDgvkKxOzJzhicHAHXGJ9S0+KePZqXhK6tpVkIW5dmCxnB8xFd+OWjz9FB5zuqtpC3VrZrf8AjG1sYPLgCzKuoEiYbCJHXzE5B2nC4yCcDOMmmr2sJeZN4ds7S+1mx1KGLyz8qGe4U70iSQx7hHu+/kA5AJ5DFtu4jZ8Sa74dvLCC+0LxBDf2w1IedNBOpEJJNwM7BjlCHGePmTswyulJpuneLE1vTrgz2Zg2KhaPD7iAGOQQCFDD8hyOnPfA/QNX0vSrjTNe1m1Jm1VT9mguLciaMQxxpuaLIGGVuwJyecbcYSetzaKstC8/j9IrZoxp9o6XNzBB9ph0uBbuORXZvnlVVkKr50hYlzlUUfOFXE2r2F1B4otIdOnFxGIv3MjhkETBWwDtfBGQxOWHBHJ61b1LQng1ddKSRDLED55VxINgwc8n5ueOmcZ6EVVtWcahaia8WOJpSiLtILkjC53HBOTkADJ6EnrWkN07mctNC5pE+pxs5vYdMklRAP3UZ8twE3ZIfIKDAPzYBwp5JxWNr/xX0n4YNZW3imzEMt5GzB47ZmkXcRzwOANwG0jPI5yc1s3UlvpuiTXElvJOYY9q+XcBfMYsPLyfUjHOecHJBPPHfFH4c6H8Tbmy16LxH4gkuQgIiutCgSKNeGYbxeOcDAx8ozyTjoSTmvh26hBQfx79DqLi/wBKbV51u7C7AOQTHazyRb8YBUWyMzENuBPLZXnjOJW8PJbWp0zW3hmh2qzrcXO75CABGw2ovIJB4IyOMkgVBea1p2t3K6E3iIGZox5kltMy8lySyleGDfPkrx8zA96fc65qMljJZKzOIirPcGMqZdwGGO5s9S49Mjr0ypK2w1ZslE2l+HNP3aPplp9nSMBo5LtVRVwBhSS2zjqvHHIzxXM+Jp9Z8P6dc+KPtMqKU82WGO6aYRKg6qHA+9hcMVGQD1AxVxbmSSeKe41WN3ktxGYogYHVt3yng/MM5O7sCFxjIpNesLrWtNbT9YujLazwSwyyra+U6JjaTkk4Gdxxzye+cU4u242lJanJeGfizJrUVpM0NxFDfTSx23mX8cxYqEdzJH5jPHkSqFLqAx37TlWA7+O+uvsm6S5itw8O0xlACfmPA3g7SRlR7HgdDXD+GPgp8N/Dypq2mDxHPFZu0rWr30LOByWwwhAPQ8Ak9O9d1aX638lzNAJUhuUWS3tpRIXRsKmDmNRvySeP5ZND9pFNzaepUnRlNezvbz/H8SqnxT8QiFPAV3JZzafHZxtbiKy23DTs7ozlycFiqQqW4B8voCzbsWOT7TNDYXICmd1WSK5u1XcOkapGcMy7/lwRkkY78u8TXF1a+MrKW0sZ3klsZV89IWLIodRxggn72D1PPQCjQLYm7HiHUr+9liaVkitZULMiKQBuXIKDOQS2c8HjGK2m5VIxk30MIqNOTijzX9qAT6Xpej6nbWIhi82ZZI2ckn/VAHk+nJz1AxzWR8IbFvEsxaWVgsqLLFJHCGCuuCy8H5Vbg5J9ema6n9sa40u5+DVrMk97/akGsqkqiwjSHY0Um7bL529j8qjaYl6nnjB8z+CFvqHiA6fBDYTT3FvqCmGKODJklVW2qmBknJPAz9734iSlbXc6VyumrbGz8RNOFt4yN1dNt+zwGVhLPt4OVIJYEgBeMDsTwcmr1na6Za2IFppsSJtwptiuRkA/3QR0yMdevPZnxQ06eLxRbX8s0sWyEiJY0LBnD5UkLwOD6dD+NUrK08Satb3SR20gupYZksXiLyM5YEIwAAG/djgg8471yyb5kkUkpK52elPbNMk0k8rtsIdHBbczYIUHIIIx05OAR7Vv2l4lvO0OoQiNYyyoLaNg6lzxuJPUH2weOhxXmnwCuviGmlXVh4re5iv49SMkZ1WzaGURNEvQ4BAyrAZwMnrzXf2LW82nl4FDW7kmIRoxCuCG+8o5JOexOPrVypuL5ZEppxui3qDWNzIymQxxA5w0hIUkEbQWOM4zwR361g/ETxncaV4VHhnTNREUc85e1URuXicoEMi7WCkgIF2t/fzjqw24bG4aaS2gEKsysZYtu1n+VtoKAcdeg6d8VyvxL1zxNF4Kl0Dw5MzQ3N8kl5bCyhlBZFYIcuhKY3sOCAdwzn5cdWCk4VU72OWvqrM5jxBp/wAPLfxFay+CFsVs2tIl069k8RSWMStHt6SO3mFwrxYQgE5z/DzT8faZ4c1PXY9N03TRGy6hCJ5Ib3zGYMWBHBIOcAZxjOORX2L4n/4IfeDU06Cz8SftzaRZXNvujc3mjwQIyAAxjYLpX3Ah8sXbcCOBtJPO+Ev+CV/hJPE1/H8Rv+ChXw70d7S4DaXHp2q29x50SsSkkxkkhCy7eSqhwNw+c4r2Z5PmMqiSh+K263/yOClmWBUXebffR/L1PILH4KfDKXw3/bKtq0OoJZTcw6JqjwKFMgljkuEg8gkmNSCGKABtzoUxXN2vwc8STeIjZeHvBVneyxW9q063k8KtG0i7UYEzEAtvYAkhmjUMFXca+z/BP/BNr4geONcm8G/Dv9ufw74t8N2+kpJOmiwWokjke4fMLiNJkRGRpWDlmZmyNiD5q9M1L/glRpug6VN4l1zU/CPh+e3sYotR8anVdYe7nt4nC4kSS9S1hLQpBucR7VZJNqASDyuCrknEVTC1W4wpy+xZt3V95Xsk/R2PUwue5Bg8VSclKrB/GpRtZ/3bPVd766I+A/DPhXQPCVnc/wDCS+DfEBvw0aNa6HpVzeGIuq+WXZDsVCpzt3lstGVQjJWxrngHQJpoxpiwLZySspj/AHwd3LFCSjoGjGMgeZtP3gQMGvo/w9/wT58MzeGLfUPGn/BVjwdp2pXQR5rbStatLy13oAsLK7XEDSARCMZKjHGM4UnkviX+w58N/BMR13/h4h4I1u3EOIxYTWsdyyrubGFmk3HeMdScseCc1ayjOI1HCpCPKrWaevnzK9vuMMRmuWVZOtTck5X5kovkWuiju7Lz2PMvCehadZteaZpk8unm3mVDaookGNkbseQ2N4k/DJwfWTxRrvh3w1dW327UNRmgtyJY7Sws2KqrDIBLFew2gAggEj3HW634A0HwJr1xpul+P4vEy3C27jUrZYDFJKIkWSJGhRBJ5W0HcEGSQOoJosvCenTP5F7DBcXKcXTanazy8gbepkCNwvPBOTXk4ynOnVlC9mnY6cLUjUgpLW+v/D3OR8Iz/Dz4naMdY0PXb94bKYCctAFMUgcDGOV3ZJyM9MjAworB+Ini/QfB2601CCZzbRIZk2s4DMMhucDoQSCOduCcZFesXmni2jgsbDRdHsLa1eSe5Flp3lNI+CQzbW24BJzlSxyOeMH5R/ay1u8svH1zFaaiZoZ0jlVA21lBQf7IIHTI46DtiudJ8yiupq3zNtmifj94btWaC18O30kNs3mTm2iCFxvXAkRZCoCMcjaOpORggDKuf2i9Gm1OGbTtCv0RVdYRNMijaygMm3aePU5OST2Arysavqfki5uLJnZJH3MyH7p4PODxyvHf8cVNaGbUdM3wWSRy221irsd0ilgOPl6jg8ngHiul0lpdCjOy8juLP4iaDq/iePUbfQnVYYTt+03qRoyqdyrhFDDk9CckngjAx9AeDPFLSTwRQThFNsFERKsVztIcg5zgZAHH3snkAN8iaVf3lu0UkFmiNDB80nmjdjI7k5Jz6dufetWTxV4ohVrS71KVAJCvkfbGK9+AynJzngjjPQ1Xs237qKapuO59dapPrGh6rDq/hXw5MjWt2xhe3mMEiswwJRsPD43Fs5PGMjcGOT4r+LvivwLqh1TRJoxM3ly2sYcshY/M/myZJDckAf7WTzjPzJa+IvFl3p099JqUmIZS+X1UBmIBxhS2SDkdBnj8obPXdayTcWRu/PYeUkl7j+JQQBnk5IBBzxnPQkJUqjVrE+7F6M9b1r9rr4vW1qseo6XpRkimk33ogcnf8gA+ZiBj5TjGRnrUM/7VvxYe8jkl1TT4o4isk1xbWhkVTypBGCT94A8dSuCCc15VNd77Kf8AtHRI1M8XlwyJdq5Ukq2eclcjPIIOcAEAkHYu7TUXtIIT4ZUF4jFbypNCdwU+awUqPvYwc53EHaTyBVKlVcrKNyOeHNrY9F1H9on4562bu6g8U2E5tp2RmitIism1dzsqsoYpjBGByGAxkYrJuP2kfj3a6XFaprkh24xJJpCRuo3qgAyuXPK9fUr0HOV4cF7omtT2sngZZLj5ZJjHq0ayDbGz5Em7cpwvYjqRjLVY1nxN4q0/w3Lean4Rhazt9TuPtE0skMl0k32hpP3jkFmOSQWfO7a3PUVaoSt8Ie1ipaM9T8N/GH4jQ6aPD+pJK0f2dkuLhrhQYm8gsXdWUCQEs6gLzkkhuMV0vwg8d3viXVYJ9dtg7Q6JlWiYFstyfmPf5iTjHXuGrw3xV8S9b0vU90/w+W1mgsYyI5LjmNfnVJMDB3vHKFAIwwK8EkZ9B/Zd8K/EaDVrOTW/CsdjZJd3FnDeyXcEcdxdRJLHLCWyoyvlPye6Nyc5LVKrskzKU4JXuj3O+urnV4YtR0vTHvpNhkNhPdrGY2VgFcMAMAmMuWAJ69+Kv2elMJRcqbiWZoGikQakQilicjY3DYDduRggf3aj1CyuNDhggguEdljzciMqwyHZjiR9qgBCc8/MRkbvl3Z+oa9aFEC3esu9ywFtcWUPzqAxIdhHuTbtBG8cZ7jipjGbVmtSJOMXo9Ca58C6doOqW+p6dJKrx2pEo89zGRk4+WRgqkBV+6uMMMegzNd1vwb4ShNnq+uy2lmXRSF1AJINxwVViy7eOuCcc8cVqWMv2C/fT4ZLq7WGMsC3TLMGyNxXzABuOA2AAR2GPLvjp8DviB8X/EWl6h4W8LTPbWEJaeWYiEM5IIHzkZVsdv8A61RZuSNIpO92eg6JY+DomV9Mhe6Sdg0c0dy22T5T8wwSGY7mBPXoeApItziASGZbH7UkKtJEjF0XGAShB2hTgZ6ce3OcT4P+BPFngHw9b+FfE+ki0i+0O0UssyuuWdurruABY7eQSG/AVo3qWNvqcGpzSW8dnG5W9STcizMCwXaQQ3QLg5BzntmqdPd+YnJ3tvoW3lkv7kWN1atamQNHCrsjNCp+YEA4HU8D5gRjBOQCmm2Wm2Mc8lxdTzvDsWSISLhDgsCM4YYGeQcY5PBGNLVfEcfia62aZ4ZvN0KqZNQMHm20YZgMKwc9N+cYAA3cZBIl1fT0vhH/AGoml+ZucRQJCJOWXDbBKH429sEcEVFm2UpK1rHF39xpVh4usbzVodkF1YXUUCeeT5km+A7G6YyBznIIGPSr2naTokF600NhHA0qS7GQEktgkvzwDwPrjHOKzvHHwz8Za94p8NQ+BdGvdcv0f7L9jjaMbWbfKGwcKN0UNwfcQdSQa9F8SfDDx7oXhyGXW/BzadcTk26pLcRySRuy9dqOxxkf3cHjII4O/LV5YuMW1bez7mSdNyleVn2+SMT4e3VvZeMLZrvwhp2sQNYyBotU0yO4gkjEZZm2852qpYsMYXJztzX0v+zh8M/2bfjLr/8Awh8P7P3gfT57e2N7PLH4dsnXClFZ8LGrFiZAMHPB5Pr8jeI/EHjL4c27eK/D14s+tW1jdC2EkkEOyaSJ445Ar/IxBIbZ0PAAOQK9Z/4JB/GDVvEHirxr4m+J8llpUmn6DaW02q380UPnSvd3s7FOeVMYhBI+U+UvbbXqZfNpwUXu3dW6JdPM87G006c5NbJWt3b6n2Dq37Dn7OV4FS58BeFW8oYj87wXayADBwME+/8AP1rnvEf7Hv7KGi32n6Dqvhbwvby67cG0sbeDwhahrhkjeUrtB27QiMSWXHbduK5Z4x+PejW2qXGoSfE6yiiE21LRfEECJtHy8EBid2AemcnA9/PfEP7TFtDqUHiWx+IkG2wuFeO0X4hTLFcurAiNwlnJlcjafUZyOcH6PkoNNuP5Hh3qqWjJ/iX+yF8MfB80vh/WPh94KutOvJlk0qTTfDo0qUNulBjlNvcF7jaGTcV2J8y5XJXHxzL8NZvgTdBPjx4N1zQdPgLfbvEGjP8Aa9IkUyMsciui7rVGzFGI5Edmc5LKCAPvTxJ+0T+zp8U9MsYtR+ImmymCaNpobuWWARmVdpRZ5UjDfNtB2HOBnG0Ein4gu/2PGN5pWr6nDMArQz232y8n8wMhBUIjMXyN2OCD2rixWTU8yw046xbVuaOkl5ptP5HRTzetg60W9V2e2nkrdN+tz55+A37PnhL4x6RF468DeMLm98JXKTpFqX2B4XlczMr7WkUeYU2OmUwuSQ2CBW74o/4JUXHinSJjpvxpt7En57RL7wvHOEUNuGd82CenzBRnp9eV/Zf+L/jHwz8MPD/hD4heKrmyuoI/s8TTakdqRxSOm377ITGAqsBkqByB1r6X+Iv7SnhTwh8OrrxJF4h0aSaK3Btm1CcvDvYhYxJ5bBlXcygnjbnPygZGWS8M4PL8O54irOrPTWTStbsoqKv3b1e/kqx2d4zF4nkoxjCPZK9/m7/geVWPwN/ZY0TWNN1TTvAniLVDpc8klumpppcccu4jKyrHZnzBgfLuzszlSpAI1U+Hf7KkF9Jq8/7MNgbxoo1Fzc3lvIF2BgD5Ulq0LE7iW3Idx2k5KqRzd3468EYMc/iiJWIztN2o4z/vVVurr4f6iAJtVeUYB+W69fx4r0IRnHVJfdc82pXcvibfzPU9G+Lvwc+HOmT6d4M8AxeHluro3F4LDxfJZJNIXLltlosKryQPlAyqqp+VQtSy/tl2Omaa+iR6zpJtncsU1LXdRvHOScjdJdElfmxtzgjjHavJ7PTvhuj+ZDCAehLNn9Tmtm0vvDdmoW0MAA4A4/wq3Xr8nK3+BCnBvX8zvY/2wV1bQrTwxGlpdWNkFEENmmqMMLIkihtszFgGRThiQcYPBIrwb9qD9t3xF4Y8eaP4N0P4Y+Ho9Hs9Czb28WjXNrFH5kkgMf2YusJT5FYExtgrxygx6FceIreb5Y7qHjoFlANEvjvxbHYNp2neMtTitpDmS3g1OVEJ9dqsAa8+rVxD1i7P0R10Z0YyTkk12v8AqeHw/t4/DzVdDu9B8YfsT+FdVXUESW+upNTvIppWjCIHBz+7XaiBljKq3UjtUo/bd/ZluJimofsV2kLQxhElPjjV0Uk7gCFCtkAgAgHd8wNdF4s+GvhXX9Qn1rUvDNpPe3LEz302nxvNIT1y7KSePWsXRfBM/gvX7LxL4TvfsGoaWVOnXsNhEsttgkjYyqCvJJ47mvNqTqTnepZ/9uRPVpYjDqPuJr/t5k+i/HXwn8RdDur34f8A/BN/UdXtYtQ+yXuraTq2t3ccDHZ8m9AfnO8cEqeQRwQa8o+Mvgb4+fD3xHqXixvgzrHgaC/SAzWWjWc62iiKJQv71ZJPOOwB2Z3Y7mYk9z9DWnxp+Llhf/2nqOqaXqzkrv8A7R00fvgrl1WQxsvmIGLHY2VJJJBJOeg0f9r/AOJOneJZPFdx8P8AQZLuWxW0Vra5u0jjRX3Dy4jKY427Eqoz1IJ5pRdBpJySflG35L9S5VKnM2lf1bf5v9D4e1Dxh4subORNZ8S391BJCivBcyl0CgFRlST05A47H0NYkVxqDu91bu8RnQ2zOsaA3EA/5YlsZdMD7vIyPav0T0P9rHwvpMiXt38F/sspk82drHxFJEu8kFnTzAShbLA7WGQfXBGTpHjL9iXUten8QeK/g54iQ3OrnULiCKO3uklJEhMZzKo2F5CeFBIQBi2WJbo1ppezqJ/Nr80L6zCOs4W+4+DFFrp+mLpyW1jEjlVmJsYWBQrtx90dELKOeAeBzVjU/FFlNbGE+DdB1BFR4miuNAtSWVoypIOzcrAsxUgqQSMk9B+j+ifEv9ie90RfCdxoj2lrbxOLVNe8IQzwqHERdAiibYrvHvYKu1nYsQSWzN8PdL/YfmvtR/4S64+Gs1vPMGs3HgHyPK45xEbb7nXAL5AcrngOemODnJr31r/Xf5GEsckn7n9fcfm7qHjTxHcXdxGnhPwZDAZW27PAumSIgDKMfvYCRg468gAjJHFYqatrJ0xLKPw14adEj/dyN4csy67VVQRIYwwYneSwwTuyTmv1x0v9m74P6pok02m/CT4Yanp93dp5NxZ+GbZXWAxnc7HyUUhGZtpB3FSpzurH8Qf8E3P2Tbx7iPSfg9bifPnJcNrN1DDJLu37QYpdyKCSOEwAOBhVFbLLcQ1f9H/kS8yoRdmvyPy2sZb+S1dD4W8OMbmRy5l0O0VvungKqrsGMYx7HJ2lhc1D+3dUna20LSLKwt1URxWyQQqrHcc+YuwB0+RQQw2gEj1B/Q/xV/wTn+Fnh/xPnwJ8C7fWLD7Kzr53iaeArL5kaKg8ycfw7pCc8DcBztBhX9kLwGPEulWEX7Ll9Zw3zGOSWDVb24ewuIm3x+cDJ5TRuo25Viq45YEgGoYacdJKz9H/AJA8VCSv381/mfAHjKP+2byQWGjWNus+N3n6bAhJKYd2McManncQSuVz1yMl2jXPhePTPtt98DPCGqpIxLrdvqEaZYKNw+z3SLnk84HcdK/TDXf2K/gNqGhaZo/hr4DxXD61L59rOlxe5tIfLALSSSziWFcO5MbEK2wgqGVa0/C37KHwc+GGgSLY/Cbwhq0EkYmhE9kb+RrZo42LRicSs7NIMrs3ZBIABereCm29V+n5ErHQ5VaLPy+vfG/w01c3OkXX7MPgj57GC3aSK/1pDCC7Myj/AE8sWO4ZYEEDju2eq+FGoRxaqj2Xw70qGw02zac3lhqF0X0qBngjk8tJrjy/3kjQxneGIZ8gjmvv+0/YW/ZJ17xLaRfEL9niODU9bWN2SwvtQgiedYzIxiSJ4iiqCgIKR44yo2nHYfDv9iD4S/BfV7/xD8GfCy83UVxHc3V2L2dM4D2yNcbWhhETZLCVzIs0qyIxSLGay+vUlrJcr30X+Q5ZhCMLKLv6/wDBPjCC+tdY+zBrSIyvGskUc1ttQ4QZQkjYODtxksMZ4AJEI8LeJNOlknn0FiA4QJdTlzdoDk7QMHnj0XG3qQxr62+K/wCyJJrXhfVHv9S0rSktNQ/ti/1kacba2vkERBt2FucwWkcabmbzY8yo7OqK0cg43Uv2OvF3xM+IPiOTWj4Q0DUdCitbzXPtWikabZpcQzOxt2SWN5ERgpQnZEuxkZ5WEprz6mTVou0Wv66nVTzSnJJyiz5zk0SHTdPkk1Tw/dQyQxmOBrXTAzM4BxkZLFdx+8V+gOeZdU8N32paRDHJYW0Xnp1CZaEbBkE9O5A9MY6Yz9JeGf2P/EOqWWuaneDw3bW1jcTx3FjpGnaprNzbC0h3b1FtdoftFwSZDbbQ6+YgXDYVvOtd+EHiPxvq1v4y8JXVh4M8Am5jk8UXFneNqOtaROLkRvpklsBK0Fz5bQzNHJGDC7iMyuwxLhPJsYrPQ6IZnhnfex5ZpvgbUWt8xWZ8udNkL3G3OxXKkgADGMYOPQA85rkfiRN4h8DaJa6hNoqQtLrSWcEcMHlkAozJuGziVhG+dynqQAORXvf7JH7GurfHnwz4gtPEmo3Om6vpWuxNZare6fdHStUtJIjdbTHGIVhkJeCTzJJGIjZEMRUndwX7Y/7HPjj9m3wDcXHjjXzrjWnimy0yxv7aK4giNvLBPJCY4WhSOSQrDhzHKfLddv7wybk0pZTiYzjOSVuopZjRnFxje/Q4hPH99eWev+G/BulT2T2FjPIDA0aplN7ByAxLAjcwfGCmD0IB2nk1W5ltdOuLyKa9a1W82RamEGGZdsg6blKtnkdeADnj174Z/sx+EPEnxD+MvhTx1c6XrWqW3wxt9X8N+IvDamCxvooEkiLxGAxQFD5cdvKnksS8Mo80SI7yU/B3wZ8Yt+0Z8B9L8LLo+q6Z4y+GhvXmubHSPPtLlLZbu8tzNPZ3Ejsr+SUaSMttcxb1HmSDqeUztZNW+e+xzxzBReqf4eTPD/FY8XzeNfD8WsjbBHrMUcM1xA7pPNNBMNqjIzhgV+7jkkZC89jP4Q126uJLqzulOHRIAyiJ3Z+iBemc8DuT+ddt/wAFE/gjb+B/CHgTUtH0Hx/byaXqcserr4stIpEiWRIBBie0DWjMyxuCsUjN8vzgYWvT5vEzeHP28vCXwgudSW98PXfhiOWztNb8Wu139olmTykibzhGWcQ2swjkCo8OQIzIyF9I5JKcUnOyXl3fqQ80teSjq1fftofPifspfE7xSmj6hdeCJtHtfE2rzW9+tzAhvUkFrPcvAYXmBjcLBkBxH1XLheadovxM8FeOtdfwTpv9q6brXh9ZIrrSdZ8HJpckEZWKMhkiuZlIXYMLtQgPkZDAD7J+L/w5+J/xR1LQvEr/ALJEU1/oGrG6kttbv9JuIby3FvdxGBZGuWbLtLCy70ARl3HcVAryb9t7wn8Nvgbqfg/XYPh9pnhy78S2Oof2vcZjQ2y2zWwSMmFjF85u2JwCT5afMApVvTpZfTw0fd1S3v2PNxOLr4qDi97aW7+nXQ8V8V3l1pNihtpNNE1xIscEVypjV3Of48nBwCcY7Vi+CZrmKzh0WDUtJkjiG1TbzGeVmy2VI4ww2kknnjPfNbel/wDCGePtN/tjwq1ndWdu482bTLh5I4WKg7XeNiD17noQehqxYeFPD11d2sVqks0sAHlJE0rb1A/iUf6zr/EG5IzzzXS4QbVjxVKpCDhKLv6Gfr+lrqmkXDXtpb3PODA8OI3BABUqcg55rg/Gnxlt9KWXw/Jf67p0v28yQSa9YyW0trLhTDcm3mOFcosZGCw+RBuYAE9l448c/DfQ7a+8Lf8ACVWEOpRkJPp0Fwkd2smcrGqEHEhyMAqSc9DwK8m+Mnxr8P8Axx8M6VZ6D4KurVfB9gkKXfiaZ5tVvI5nmYiaaSQNIiyI7oBGsca3GwKoUbspz5W+SSXl3PSwGH54L20H5Pb/AIdMr+IfjTr2g6lD8VPhp8S7u11SG/WSLSZrYyWkkwHlOs225G2KSNVGE+ZBgoyuSR1Hi39pnxT8R/hcPA/jXw/4i1qVnkNzJF4g+yWs1r5qlVe3kR8NlgozKw+797Bzi/BH4J/Enx7Fd6n4A8N+JPFloL7KalY6ebpEUwpKInnCZYgMABkcYG0dK6X4U/Br4bfEP9qPwv8ADbx9pNzr19Z+ITpviHQbXUZI57EOJIpInkDKVaMq8knl7iohAyuZNuPtMTUjo7X0OynDCUF7q+HX7tu34n014t+Hv7E3h/VHuvDq65q88qCKaFdQfyoe3mhpkO5uQQAWHHTGc8c3hD4B20EMEHw61y9eGZpU8rxBFbxyMfl2EQ2MeRg8kBW+UDJAGPdvBnwEvNZn8288A2GmRFxvtvL1Mk4YZLBpApBGSDuH0GeO7tf2ertbYRSHwpYxNKXmePw3G7htxP8Ay0Ztwwe59vevd9lOSuoJfL/M+c9tVT0n+LPjbSfh/oyxGO0067GbkyKJ9VcbQSRsJ+UEY4ztBx3rqIvgdHpMCzat4t0+0WZDKoXXIp89cf8AHuzFT064655Oa+m4/wBnD4b6zfrZap4uhkul/wBZHpUdrF7bSqoWXv3zxWofhb4K8C6O+n+GddlaeY/646XFfzAAA4JFrLt4BwpGMkYGTWSwdV6WsP28rtylc+Uz4H0vSrVdTkvHlSYk+ZZW80i8HBw20g/QHitDQfBNzrlq914X+HfiPUywYxyrAIUcKecbwN30HPHsa9zX4Laf4u8cTzSazq91HISZDc+G5LPfwpLeaLVEHPG0DJx1GSK9k8FfDbRfC9kLayfUERlHnJY2kdrvYYwxaJEY9+/Oec1Cy1SV6jf4DjXlzLlR8kSfsz/tK3Nol1ovwE1Bgy5EcmrWYPtnfcDHbqKZoP7H37Y/iu4ms774XaP4ejUEpda14hhkEnHAC2olI9Ofzr7OuvhR4f1t1ea88WqByBF401C3H/kO4Fbdn8NfCb6PHoOtaOdVtYmDRx69fy6jtI6HNyXOeM9evNYPKMK3d3/A76eJqctl/X3HyD4X/wCCYvxC1Pyrj4h/GGzt1YD7XbeHtNlVwf7sc8kgGPcxE8YwOtdn4R/4JX/BXStX/tnxb4k8VeJSR8ltrerL9nQ88iOJEBJBPJzX1ZbWNjaRLDb2lvEijCrEAoA/CpPMgTrJEvPdhWscDhISvGGxftK0laUn/XoeOab+w/8Asv2Ft9ki/Z78GsAoG6Xw7bu5wAM7imSeBznPetL/AIZH/Z7MSwL8GvD8Sp91LfS44x/46BXo+o6xp+m24up2ndS20LaWck7Z/wB2NWOPfGKW2kN8DItxebSfuvAYyPzUMP51q6NNfZRnyxfmebTfsg/s+XDqzfCbRl2ptCx2aoMf8Bx6mpZf2S/gHPcwXUvwt0lmtx8im0XaT0yy9HPoWBxXp0NsI125lPuzEmpfJAPIOfc1Lo0uy+4vkjucFY/Av4daNafYdE8LWFhbl9729pp8MaOwOcsAnNT33wx0G9O95rpcHIWG6eMA5z0Qjv8A4dK7R4kK5MYPpk9ajMAIwET3+WnZpWQKlDsedeJfg/Pq0KQ6T4w1LTxGioPJZHBAPfzFJz75qXR/hNb6NGUi13Up2Ztxkurwufpg8YrvZLFu5H5VGbWRDjIpK/cSpxucZdeBdVfm11d4iBwFRefrkH9KU+Edaa0eK6WC4zGV8tiyq/HQ9ev0rslhOeo/Kqdx4i8OWuqLoU2po14yB/skKmSVUJwHZVBKrkY3HA96EmxuEV1OV03wPqOlhZ9O8P6RazCeS4MkQP8ArpGLyP8AdB3MxLM3ViST1NOtfA+p6doEGhaZpGm29ra27QWtlbkxxRqTnA2jjsemQc8813SQwSKDsfkf3cVItpGcBEOMcZqeRNf8MUotbM80mH7Q2n6db6HouleF2tbeNYoZLu6uJpI0ChclpEJdsd2OT1JJJrlrLTv2sLDxZc+JRpnhmWa6t0trm4n0+NZpo4i7xoZYyHKAySBM/dMjHaNxNe7/AGQAEleooa02AfKB3ORWcqLk7t/l/kXdpWTPGdR1P4iXd2s+t/A+x+1xXa3Q1G1uQ0guNoRnVvIJBMYKFuuw7cgU22+I17Zxap4b134CW9xb6k0p1eAz2zm9jkBUiSNkQTAoAnzAlguCWOc+yvbRj5sY45zUE0NoxMRRTnr8lS6E39r8ENS5Xp+p4Bqfiz4baDBpUGlfBHV/D0Wi6rBqFi2gWkEKq8caxeWVhYgxNCohZCMeWAONqlfHv2/L/wCGH7UXw30bw9ofxq1f+1rTxPZ2kfgTTrgTTz/aJ4jJK1iF86Z44jvjwcBd2OCa+3YtJtFHy26exCYNeGftcfFmL9knVNL+Pc/hsapo2sXEOia9ZpdtHLBIPMmguok27H+RZ0k3kMdtttKqj5mNGcL+0a5fS36/oV7SenJueUeCvhJrPw8/4KOal4I8HX9jqUU3wHthPaeILRvIvbeC8htBATEwETSLChaYxyqGaRhCchQfHrxr4R+H/wC3f+z4upW8/haHTrXWNGTwzNprLbWhltltrVraSFGiaORpI4/kYKixoHEZVlXb+AHiX4lfH/8Aajh/bK0XwNp2l+FL7wO/hnTYrzxApu7mFb43AvFjRCOWUxmJmXH3gzDBbnv+CmWh2niL9pb9miDVYBLFceO5bS5ETvG0kUt1pqtHuQhuVLDgjqfWunlUYNw/rYxUk5NeX6WPpD4oeNPHuh+Dr3VfB/gI6/qMTxraaJ/aENt9sVnVWxNKSiBULP8AN1C7RyRXwD8c/gReXH7dnwi1uy8P2nw+vPEcE1wmj2CQTxaZf2MrzQuhiCxyeaRA2McMzZ37iB9/az4V+J/w8XzPBsMni3R1I36ZqN0i6nCCyLtguHwtwqqCdtwRIWJJnb5Ur4d/b+8YeFV/bV+B3xJtfFMNrFDrENvrel6wrWcmkRwX0UokuEmVWi3iZycjG1FcMyMpM1YNvmvoumnda9/xsTTctYta2evXbbt+Fz6dvvjl8TPAEUo+N3hCTTLSIfJ4m0TSp7rTJhlFUttDy27MzYxINnyn94SQK8Y/b4u/iX8Yvgz4Y+In7LHhCHxZ4k07WvtGl3E+kW11ALaSJg/yXKGPKyrbt8wDK0Ixh0GPrnT9au9MKW1sHbftHlMoZMk8fe6f5xXGyfs6fAvXrOG70LR77wjqos1t/wC2vCl81hchQ6sd7QYSQsV5Lq2c+oBHVq6bjJb6eZzU5cslOL1Pmvxf8cfEPheW/u/CP7E/jWOXVr9brUpE0mzImuSkcXnYRJAH2ooLDH3QT3NeRv8At9a5478Z6j8OfDfwT1i613RLl1l02CwtJ7yzlRvLkzE9sQjqWIPJ64r7tvPCH7UngF5L/RvEeg/EfTVaeVrLUoV0nU9hUCGGOeFTbuQeWZ403EEfKGGz80PhJ+1342sf+Ck134/8S2mhRT+J9XstK8VXMqLBBBpjvbxmTcT8ghjiibeTwIgXYgtnnqyVOCtZK6XwnRThKpGUmrtLuzvtT8F+Kfi4b+98Y/skeLJLjWf+QpqMvhHw+LuQmPyhIZpbQSIypja4YFckqV5rhP2d/wDgk1/wlHiXxD/wuv4f+MNI0zS9RjXwhdHVbYXFzAWcu8vl+YNxXyDjAAJbb04/VpvDSRWsI0rT7KWN3G7dKApiYclSqEE9CB0PPIzVaXw9DbxlIopIgpBVFchQORxkDA6//qxTWBpTlzS1+VvvIljsUocqbS9Xp6XPkPwb/wAExv2T/DsiNdfCe6vLiKFUebU7+adiAAoGCdigYxwoGB+Feg+Fv2Uf2afhvrlv4l8IfBPw7YalbMzW2pWmiQrcxMVKtiULuBIJBwenHTivcjpl9CglW23L0A3DJHv0/Oqdzp+nXpMT2Gx8Z+Y4POPauuNKlDRRWhxyq1JL3pN/M5Tw58Tf2T5YdumeLdBlUSqSt1OxkZ8cHEp3Meevr7iuqHxy+AekQiA+PNEjXBCqki4ODg4x159P6V+fU4wfLUKPlyxVFOfzqp/aiQsVkndcDGNoAP6e1Y/X01Z/mZqMei/r7j9ENP8A2mf2dLyaW3i+ImnboYy0m8OgIHBALKNx9hkmrvhv9of9nnxHepYaJ4605p5BlI7lWgLE9F/ehfmz/D16cYNfnZoupFp2k0z7UJ1QvlAGIwCdwycggZOR0Gfetuy+PHxQsLrZb/FDxBbhTt8pLtwAMY4/Ie/FOONpXvL8NSle+kT9KrbxT4fmVX08C4QsQz24VthHUHByMHgjqCea0LbULSfpC457pivzetP2iPjfp8Qnh+LniHb1VJLwkfqWP6V1/hX9sHxboVtHJql94p1W5QM+bvxKY7d34wdq24YqOePMwf0q1icNJ729TWM5L/hj7/jeJvuAfXApwdfVa+QvhF+3J4m8Ya7cR+NIbaysULiNbG3mnmJ/gUBEOSTxk4HHA717Xpvxytfsa3tr4V8QXsCxs01y1nFZxxqO7C6kiYcHOQMcHp0rVRhKPNGSaK9uk7PQ9TG5m2IY846Fc8U+OOYfwxj6R15hN+1J8OdJujZ6nMbeU42iW6hOTkA8q7AYzk8+voav+FP2kPCPjsMPCUM948cgSRY4iwQkEjcyBgo4PXGf1qeTorGvtadrtnowWbb80n6cVIqsw6j8q5xPFl6um/2jfQwWuNu5JLk/Lk85+TqPQZzjqOtQ6X8VvAV5HJIPH2kkxKXlU3salFBIJOW4GRjP+NL2cuhcakWdSApGDJ+VJsj6l2/A1yV98d/hJpDql9480353VS0c4dV3DILFchR7nAzxWjpvxP8ACetSKmlvdTI0Mcy3H9nzJCyOMqwkdAh/A5qOVplOcUtzcCRbuIz9SaGjHQRge5NMh1S0uVEkbEg9CvP8qlaeHblmHPqcVLRV0R+VIRgBaZJbO3Jb9KlS4tXYhW6deDUgaJRlT+lTbqNalX7Gx5z17YpYrK3R9yopPqVqdmC+tJ5kZ+8OlLlAVIkX5jjHpTgyE4QDP0qMSw5+7+dSbk6hRRYezF25wSO1MMUmcEihrqFeA36Un22Jmxuqra3FcaYVzyeeuMUBV5HSnGWMZxIMDnpUL3loOfOP/fNK12O+pITlcggmvjr/AILaXNxafso6HfW8QZrfx/aSBSvJIsr32r67mv4Av+vx9BXxl/wWp1O8P7Muh2cZt5IJvGMaStLkSKzWd2oIb7oXaXyTg5244zjPFf7vP0Zrh2nXij4t/Y7/AG3PiX+z1f2trZ63qf8AwiianGNe0a1VJU+ZgXaFJBhJCg3bRtyV4IwRX0F+0z8bvin+2F4t+HHj79nf4BeJptM8F+Ko76x8S3NvGYbiYtC4zHECVRGhUlwW4JG0EYPwd4g1SHR/D97OBLma3jDiK4IErKAPmQcNtV1Cng847nPoP7Nf7VHxA/Zd8W23inwBfrc25t0N7pN7I5jPmKwUyBXVj3fBbqM9+fDwmPlBezm7x79UduIwjvz07cz+4/bbwtrGva3pVvc61pSWF7Nbxvd2aymUQuR8yhiq7gDkZwM+g6V+en/BeLwQtp4g+G3xAtJGd2N9Z3MLxgphPKePB65+eTIzg8YAOSfsT9lH9o/w3+0R8JNO+ImkatA8067NQt4XVmtpxw0bAElT0IzglWDd6+Yv+C60q3Pw5+HxjQER69dMCMggGFAfqOle/Uip0m1s0eZQm1NRe+p654v+K/xI+BnhO6sf2jNKLW0NgDbfELw3oxFlPLtKbb6IFjZTtL5YBUtC7TKFZdpUeo6TcWF3ptrq2k64t5a3FpG8M9u6NFMhGRIGXOQeuQeetY0upN+0J+yxLftIGm8ZeAGkWGIE4a8sicEHjrJyD06HiuS8U/An4i/B1pvEn7NWszT6bNO9zqPw9v70waey7jIy6fKqk6fIzM+ECm3JcblRUAraLVkn/WxxuK5V/S/r8D1iwuJtMxFpl7ErqDmPzPvcA4IwfX/PSvyy8b/D/wDZ48If8Fnb1/ibpFnYeBbJF1K/sJZZFto2OjCfG1HzsNwVIhGVI/dhCp219z6T+1d8K38M3j+Pdfk8L+IdC09bjxJoXimGW2ubJQoG8BiTOjDDI0RkJEiE/M+K/LLxf448M/th/t1x6bd6lqEOk+OPHMNrPcIy/a1sHuEiVEyGC7IQvOGGV/iAAGOMjFUE3rqvnqdWB57VL3S5bH1J8Hbz9oX9qvx94r0L/gnj4k1T4X/DGygkgbVNV1eeaGa7UKyJAuWZZ5NsZdoyTFGSGc70SWjrXwf/AG6fhL4kOmftQft9/ETwZp8tzs0zxLb6Jc6tpdwB52MzQ3waJ38rKxFC+GBdUA42P2EPE/xB/Zs/bF8W/sB22p32veFdFspdX0XUntWjn0xZEhuB5oYr+7PmhCFRiZmVkCq7kfei+K4rmOTRtXtUvLO5iaK4S4VJImRlIZWB5wRxgjB3VrTU60d2raWu1b7tzKtiHRm46WdmtFs/VbnxB4z8W/t2fsR+E4f2gtI/aE0j4+fCy0vIv+EiLJ5V9GrsY3cSBpyqIdg3LMxV5AWhKK5r7O+FfxO+G3xw+HGi/FLwJeC40rW7Bbuy33KmSLOQ8Um12USIwZGUEgMhwTjNeSfF79hX4L/EjS9cT4TeJ9R+HN3r+mzWGrDQpWXTry2mCrLDNah0BRkBAWNo1y+4hiAK4L4TeIfjb/wT6+Gel/CP4tfs/W+veBNAhkFv4z8Bzy3bQRESTyyXEUxLnMrsWdvIRctsVgAKqKlTn717Pvrr6/5mdRxrwXLbm+66/wAzqx+wdpqCVo7yRzIAq75Nxj4wSOB7HHqfbmzH+wvaW2nix0e7eKQJhp3kYM5/2trYI6cAD8a+jopLxR8hjOPVKkY3PfcCTyUP+IrT6nhtbQR5qct3JnyvJ+wx8R3ncN4tsmi3DY0ruxx7grx3x+HStHw7+wHZPbbvFmsTS3Ly7pH0+YIMcZ+/GxLZzyevTAyTX09b3TqBG8BZVHU8k/WrCX1ucB7ZwRzyBWSwOGi78t/U1V5L4j58sf2D/Atnc+fGk04JBLXtzI7qeM7TG0fHXrk9CCMYPRaZ+zL8LtHguNLvvCNrdrNvjaRtP3ujNHzh1LSJkZbJPG8AEdK9pjnsG4OQPVlqRRYzALjpzWkaFGOigvuK9nf7R4R4E+EugeEtVvrWw061gNsdwFgZS+0YVYjuiKhsEktuDNgEkg1Y8UWWm6/DFo93ofiC3mDFo/tun291Ar8gPJhioAPJ5VvkxkE8+4ppOluxfZFk8nOPzpx0u0lTEUYPGAqgD8Ku9o8qWg/YPe58wS/BG7eM3Nn4p8PadFMm6NW8DWm05wFwGOGbuDuJ5A71leLtJ8f6tZ3FxZftjSArjfBb2wt1ZWGcKqS88Z5XIG3HHFfWEnhOwlDGS2TLgbiBjOOmfpXKaz+zl8PtV05dHfwvZtaJN5sdq0ZVIyRghQpGB1OOmST6VhOC1UV+NvyKVOrHU+F9b+HnxXv7+20rWdf1mSwnvkjk1BpZ2ghR2UB3Kg7sDt7e/Hod58LPCfwXtrfTdf8AGVvqMMu5pJm8L2F0xclNjoZJDIu09CSclSQor6Yk/Zv0i3tntvD9p/ZqS3KswsLt49i9HwCHXkY4CryM5yAQzVPgVLe3Ymm0SxuYFlLC1uYkIjPJDo2N2S23cuVX7x5Od2caKirt3l57A1Ub1TsfPHwpv9XsvGNrqXwt8RapewhyFtpvDsVrbOAo3Z23CB8ZGARjOO2K9ysviv46sZVFx4ev9RkMoSW1svDs0XlKMZO6W4MZB5AZSeucYBret/hnqtpL5stkka2pL28VgjQocK4Clkdic7gD8vUAgcAVDrWk/Ee10ebV9PtwrM3yQvbyPK0bHAjxGgZMBjkgMeAd6hc1rBxhHlTX3ML1L9ixofxU8XalCJ7r4ba3aRyTFYpJRb42bsFinmK4Hf7pJHIz0qzY/Eo6rryWUMWqhYiVMUejXDB5CCNkpMO2NRlGDeYuc8/Ljdl6do/xVsbuWLV3a5s4Q5R/3bPOu3GHKIu4ZPChAeGBPTNvUNFGsMJNXt/EKMRuRY9Smt1U5GF/dyoCSQMbj+I6VXNG3T+vmWpzb3Zbi+IHiTSDcy6j4O8QSqkeYRLFaFZD/dQQu0m7H94Y55I6ikPjzeRx2z6j4D8SW4uXfY9v4euplVFZlBYLGHQMQpBK4w2exIjsbd7OdIRq9/Gk7fu2a5aQbsk7Q8rs3zDLbQdoEfHy5zNqmpPcor3UCNFHkS3EVxsZWMbYC7jlTnBBDZGQRStfa39fMftKiVrmrH8S4L6zg1Cw1m0iWeHz0W6lCfusDJKthlxkZyBjocdq83xc06LxFDoEmo2kkl1BHLbFJjhwXKkqyqQe2BnknGeRXlXiDx58ATpFz4dvfGSwRzwGJHYSzOISoYgbom34JJDSbmVicYxXjuifG3wv4JmvNMl1V7nT5wTDNdTTRSIGA5ba4y3zEYAJz/Hj72NWrTpzSelyoura59qJ4z0+a6XR4NTj+2mEuLcnc2N23PBwOex5/KpLLUZ7d0+2+IJpxOAUzGrbcZz/AKpBgZBGT39K+afgX8U/iT8XvEraB8PbO3iXLLd6nLpTm3trZQAGLPIWeUnCiPcMkEkEK7D6e8E+HrjQfDlppd7rVxqkltbpC2o3rqZrkooUyOVAG4kZOABzwBVc1OSvF3NYOpK9ydXuZWVhcHbjnEeOc++ay9asria3lubaG7llQO8cUV+8RdguABhlUZ9zj1rdntttwXVDyMfK39KhnLGNlERbJx/kUX0NHG6OfWwuW0aCK4lvYSYl3Rf2lKzxkjlDKH3sQTjIPY9RWbfi00l01K4v9Skl3sI1fUJVXJJABAYqQN2OVJ478GugnMQcxC4G7PADYB9MVla3pp1W0e1khDO4+YsScbeh449+apbmE720OW8XfGDTdElWKTUbHzWt2kjgmvRGp5RdzMFPGZFGRnluRgHHxf8A8FbvjDd678OdE+GGn2Ml+lvrUV5qGqQ7WhtpEt5o1gL7j+8fzXYdMiMEcg19X+KfCOjy3kaX9lFO8MgMUssYcLhdvIOSe/I59K4H9rH9nbwl45/ZT8TeBPDWjQWTQW0mr2psbJAzXcQMwIG3hnKlCwAba5AIHFGKpTlhpRp9ULC11DExlLv/AEz8nvGupQXnh61gtNMgSayjZJ2gY77vewdZH3uVJUbB8uBsReCck8/pv9py6HCfMURzM7zC4mJ8va+F2nGR6445zzzUV7BDbWxtrppInaBobkPKSGIRZATzggOqvgEAFc4woAo200ekeDpYftzTTPdpJEirtcqxXAwB8oyOc84BFfBPSR9rpY774P8A7SXxW/Zs12XxZ8JfE8tmtzbi31VYVD7oyysGG9SByuM9weTX6qfs8/Dz9n39rPwho/xo8W+Or34q2w/0iytfFJge30y7a3SGdPskSKqErGp8qXzFU4kTBdnf8YDqzWclnazxIWWEnIuDiULhsvnkZx0yQemTnFes/sv/ALWvjr9j/wCKTeMvCV9Ld+HJrmL+1dEaZlgvYN4H8P3XQFiknbByGUuG9bLsydCXs6rfI/Pb/gdzy8fgXUhzUvi/Pyufue+mwJaiwUJZ24IW1WEbduMYUDoB2A6dAKr+MvGnhn4Z+EL3xl4+8UW2n6bpts01/fXb7VjQYGeBySSAFAJYkAAkgVxHgX9p74ReOPgfH8drnxnb2mgJafaZ9SnJQQgHDRuCMhw3ybQMlsBckjPxtc3Pxd/4LCfGefw3oz6n4W+CXg/VDHqd5ICJr6YL/q48/K10ytk53Jbo3O5nAl+ldorm6dLdfQ8SlDmTcnZLf/L1KHiay+In/BYf41B/ClhJ4c+E3hGZ4JNfktlF1dlgjvBFIVO6d8JuA3RwLjIdiPN+Pvj1pniD9mX9qC38FfD3UzDeeFr7bod3LGhdJYJmCsM7huYxhsZIJJr9vvAHww8IfCfwXpvw7+HXhyDStF0m28mz021J2RrnJOTkszMWZmYkszEkkkmvyA/4LD6RYr+3xrly1s7btL07JZ2PP2dMn5jz0H5ewrixsG8M5v4rrY7MHUU60ov4UtF/X4ntngfW9c1T/gpz8H/ibLrtpPdfET4Rwal4iey8vy3nSxvEkiYKSAySWcalRgq0eCFINfdtl478PX8Ow6hbSMWCRyLc7V3kZ2YOCX55UAnNfCP7d3wi0z9mX9sn4M/Fb9nfw1ZW1/4uu7uztNGmJitZrhnijxhnVYlkW9CY3IqhRjHJr6z+EP7RXhj4rpdeBotLl8PeNNPiX7d4S8Rz+TcMxiEm+E4IliI+YSRjlSGKICufTwzi5SjLe6/JHk4tSap1I7cq/C6O41XXdP0e5STUbqVpC3EcFq8iDHP8CtwOmTzk461c0nxBFdIbvTtTCbmYSRrgEEDH9OM+naqEtxO06DU3W2kDAbZ4kADBc5jYBjJyeRkHr7VzqeK7vTdZk0G98b6TLME3+SwWKZBxn5WzlRkYzjHc+neoJo4HJ7n/2Q==)![342.jpg](data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAIBAQEBAQIBAQECAgICAgQDAgICAgUEBAMEBgUGBgYFBgYGBwkIBgcJBwYGCAsICQoKCgoKBggLDAsKDAkKCgr/2wBDAQICAgICAgUDAwUKBwYHCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgr/wAARCADwAUADASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD9KP2dLPxfbaR9q8TwXIaa3VnmuHA8184yI9uVG0AAglSMYC4xXqkDepryL4d/Gz4VH7PaaR8Q7XUheqfsUVq4kyqsR1AyCDlcHByAACTivVtPuobqITwyBlAG7A+6SAcH0OCK9O+hytq90aVu3AP61ZhY4wapw/3WH4VYjbjH8qhlFyJvWrEbYINVIWANWVIz74qW7MC1E1WIzn7xrnfFniuHwppYv2CSMJUH2fzEV5FLqrbQzDcQGyFGSSMAGtDwv4q0DxfpEGueHdWt7y1uYVlilt5QwKNyDweO/B5GCO1SUmmbMLgfjUyN78VSlu7ezge6u51jSNcszHAAqPUdU0xdDmvrnVXtrYxSA3sDLuTapJKFgVLDBIyCDjoRxQVdI0jfQRTJA0g3yOUXn+Lbux/3zz/+sVaRhnJrwz4ofEW68C+OvDHgG7a11DxF4l1e5SGy0aKOWGO3thLIS7KsUnlW6osLmJSR5hDxuBx7DpOuWFxpa6g04SDZkTSPgMACS304JycVnJ3QLVXNiNgRipYpD0NUNPv4L1WaJHUqQGWRCpBxnGD3HQ+hBHUGritnn9KzAtKecZ4p6sByahRiaehGMUF2RYTkcGnKcEZqJGHSpQcjNAyQY/i/SnBwB1qHOOQacrYFAEqtnpTowGYKRwTg89u9ReYqnjH51JbvGZATIOG5NJgPAIG1j0wODS5Oaa/ErZHRiKcMdAalsBy5I/GpsA1EmccetSL06Y9qQC0UUZFAAcUUm9R1P403f8uQefpQA+g8CmeYOvakB3cZoAcT82Qe1OHNMJHQEUZ98HPpQA5cDoKDyOaaGA5/Sgsc80AOZto4601vmPzCkJyc0E4oAa2CelNOTQfUCkbODigD8Hv2ZtauviT458N/FX4lfDa5sru61hY9I8P2thFasssUStbhlYhkeZlaXO0JvdQHZpcV9++GPEdjqHiS5+HscevWF9NPDdtpJumkljtwrRGRiiMvlF7c4ALKdyLhfuD5K/YQ8Q/Dz9pKO11jwj4cv9P8OaR4ft3tryWBII/9IQzTJLbZSJYwu1/3Q2SNczOy5VSPsrwyPA/wtkPhe70i8trBIJbv+30UrbTK+5zGXVm7AttJAIXcRjBPorRIzqWi1FrT+v8AK567YeYltGssm9lQBn24ycdcdquxeoNZ2nFfs0YjuDKoQBZWbJYAYySOtXo2GOKRmW4mGM5FSzxyXFu8EV08LlfkmjxuQ9iMgg49CCPUEcVRu9RstKsptS1O7jt7a3iaWeeZwqRIoyzMx4AABJJ4AFeT/tO/to/CL9nDSbOHWfF0TatfarbWtvp9navdyndIN42Rg/MFV8qSGAycHGDEnYTaWhT/AGkr++07wNfW/wARvF+hCTSoWfTNeGmbHikkQR+VLHIXT95GZjI6ugACfKA6pVn4BeKfFNh4n/4Ru70/RNKS8Zr63sLTUbdZ721WSeNrp02A7dq2YAjjK5Ei+cFCK3z98VdW0/4jWFx4p8B6X4V0rXfFFzL9pN3aGx+2RWwcmKZZo2zMitloirFxBKFmSQKV7zwH8ZvEGhax4X8UeObpJteh8yPxrbWl1Pc2ljM93PBM++KOVkkM7REtMsSkbUYBnISVe5cE1c+rX8X6LqOlTXWm36TLCUa4KjAijDKXZywwoVSS/PygEkgc15D8fLvxr4EtdNXwHoVhLpDXbAyPdSNbF7gStJ9qQghEUM06SrmPGbcogEZlt3Wt6RHFafEX4d/Elr/Q4Ip21C6iQTQys0MU+24EMJaDbEYpPNEZAjYNIGB3t5/4l1j7DdWnwi+OHhaz0/wrfaZdN/wnttfxSfZ/IkjuElSWSFZbM2xYzi5lWJEngtigd9qGG7sLXZxHwfXX9T+Lnh7QvGdrFBYaP4b1+013Wrt/tSyXtvqFpYyw+cJZPNvTcsYbgIEaYyoMsAlfT+pXniL4iwFPDlv9g0t7oHT7jUp41EvyIfOWIEu6/eUJKI9w25+WRifmT9jm8+I+v+O/FGkT654bEVtJfano0mmo7/2rNqF66y3ql2wio0N7byWkfmRQvcQFSYyGf034RfEDU/iRrdx4ls7+0uvD/grwnb/ZJraQwjDLKZEhijG4yu1tDtkIIWORkTy5S2F0Ra1ivv8A1PdvE3jvS/ANnBok/lQSy25ZViJJ82QSbCTjIBdGLSMMcHqTVGw+ON14k8Wv8PtLsYhqQgWS4ubVjLbrGQql4nA5XJyHYBWJKqzELu+efi3+0T4U+M3xMuPhZo2q21/fC/hEcMCDF0IjvSwOW5mMxMrh02JA8UmJAVjl+k/hv4b1C1ZbyaNEtTaRHT5re2MTCIrlEYSOzblBKngZIzgcATuEVze8z0CBggCt/OplPGRVWJ8ADn2zU0cmBgjvSLLCnuKlWQdBVdXwMAiqfiXxLpPhDw3qHizXp3jsdLsZbu9kjiaRkiiQu7BEBZiFUnCgk9ACaAbSNbIAzSg5rzP9mn9p74f/ALUngu58a/D+21CKGzv2tLmO+s5I8SBVf5WZQG+VlJx0OR6E+jK7uMryB1xRe4dD5f8A+Cnvx38ffCjwj4b8JeCNWvNNj8Qz3b6jqGmXXlXISAQ7YVYEMquZiWZSD+7Ck7WYHkf+CZP7TfxD8Y634i+FPjLV9R1O2stAk1bTJdVuvOktjHJFFJEHLM2w+chCk4UqduNxrxz/AIKh/tJ6P8Sfi+nhvwZrC6lpfhPTGghWAxGKa+kfdOySKNzKVWGLklQ0RKg7vm83/Yx+PVl8L/jXZ+OvEusXOnafc6Je2WpRQEFZRNbOI4nyRlfPFu2eMeVnsRXJ7ROrfoVCCcXI/YiR97s2MZNKrYGDXluo/tlfsyaSzLdfGXSH2nk20jTA/jGrVkP/AMFBP2RgWCfF5HKnB8rRb5xn6rARXQzPnhe1z21WA4Jx9KkD5GTXgOpf8FG/2XdOA+yeK76+ypOLXSpR3/6aBKyrz/gp9+zrYxNMdN8SThcZ8iwgzz7NOKQcyPpIyKTjd+VMMhHtXzDf/wDBVH4EpAZNO8JeJpGHO2eC3j/lM1c/ff8ABWfwcrE6b8J7uVR087WUjP6RtRoHMv6TPrzdk7cn6UCTJzn8K/Ob9rH9v+9/aC+GP/CvvDfhu68NB75Jr6aLWluFu4UVz5DIYFGC5jfdk4MYwOc17z/wSkk8QS/s33h1rxReXyQeJrm3tbSZ0aK1URxSHy8DcodpWYqTjPIUEsWnm1sNXaufUIPOP0oDAcY/GmB+ckVDql/badp099d6hBaxRRM73Vy4WOIAffYkgYHU5I6VQyyeeg/Wl8w9hUcMqzxJOiuA6ggOhUjPqDyD7Hmne2aAHb89v1pGYnik4FAYHtQA7dk8nApMnHNITgdabvAH4UAOPpmms/YUjNmmkgUAfh3+xfJ8I/AHwO+HFppen+H9J/sDSYLC+k1e5aCK7hE2Lrz7wrJaxS7la5XeY/luFi3YkLD7RtPHPwt+Nd9PYfBWTwzrY0y0MVxfL5d1aQT5YxxyCHDxsku35VZSGmG+M87PzK8KfGZPhl42GkeONE8SeN4rqG81Y6VY28epLPdQraeWkonWABFM7zsJAG863Adn2fN90fs5fFGL43eF9T8P/En4N+KtB8W+FLhINMh1XXFjSG5llCxyW0lvOLm1jDuBMSiLsjKjcoEdd6fMjOo51JOXz/p+X9bnqvhXXPjJour6z4oi8aw6jaTTiKKzttLUtG0bJFIfJw0wEZUxdwSrdwDL73oV8NQ0q2vVkRvMhUkxvuGeh52r3yPuryOg6V5hovw91TwPrU0F/wCK/EXiKz1K3ENompakMQqW3yR70CyAuxDZBIYKNwUxKz+oWEMNtbpFbQhE5IUepOSfxJJ+poRC+GxifELxF4g8JWEviHQdKl1sQeWb/Q4Mee1tvUSSQqFy7BC5C5wxUAc5B+GPj/eePNN+J198P/Bvwz1HTrLxT4hi1Tw48Ni96TPHaW32y7zbxFR5MtvCw2u4MsdpHL5fnTov2r4+1iM6m1pf6TFbrb22LbUJdT8h7ppFlaW2iMQMo/dW5kdQV3oFxvw6p+dX/BQf4jeCfg5448PeGdN+KXiW3vYdVbTNW1Synn1WbSrdxY20EiMTKCks1pvMZYyeavCBC0bYysmrig/fXd/1/keg/tbftfWXwL+Fmn/Aef4byarNP4dhaysJNEh+xrEqJhpHtrkSKyQxReZvSPZGjvFI0ioJOq+C+k/Gy+8HW/j+XxFZ6uLLU9TvW8ODzNJl1BZISWubU3m9Ipt3kr5Iigij4kDO7uh4b4cfs6fCWP4gat8NPF97Z+JhrWutr15b6N41kh1i61WS5ltsSvZJJMZI4f3pijeSEOzHJOJW7r9hz4Z3Hhr4G+Afj94ikl1rxhqXgm0eWWLTYrW4t/tVtEYCZp5Nly8rwiMlSMkhMxbY1oV9WaJKzbd2/wCrL59fn2R0nxM/a38LeO/DE2i+DrC8k8Wal4au9JjaHTRNJYTzlYZLOdXVYFu4DOyzRmP93JNnyv3hQcV8Af2m/F9x8R3l8Wa+tze2PgP/AIRvRW06/aVJNShuLa3kleZAw+0w3F5D82VHl38TEITKE7zx/wDBD9q240OL4t+DtBjvPGMeoN9hh1QRxxXdo7yO9vN5LeYtvGsUDg4kk8wOEMsbMknjX7Vfgv4ZfFX4S6H8fPhZbP4R1X4ZXF1N4k8FeJ7GWwg1W302NDPo2oxCTbb3S2lvJJHGtwweJ4HYqtzHPHnJ21/r+tQty6v+v6ueefDn4t+J/h38ZfGXjb4W+CtT0xLv4wvo9hNd2xlh0K3vZ7WwkRIjKESSGaB7eDfC1sptnQgqzCvb/DPjjW/gl8T/AB18L7P4l6VatoGp6dc+Jjfl5obOCLRbBXuUjzulLL9p8hZEmgcRtPIvlWMhf4p/4JrfEGDUfhbqHivxgL7XYLvUpmNtbrZyX1pr+p3dzaWwtvNTEDs5t0jmYxlZb92ZCkYkT6I+Hvwl+Lvxi+JvijXvGeqWOvW1zq+vavYap4DtEjstRuLeOySea2EcZV47K4hmsbe5vWnQy2cLRJI8DCaI3UUWovlUbdF+CX/Bb9V3TX1b+x38P/hv8OvD6/F/SPF3h3TLu4e5lTTrCb7bcW093dzNJG0xlUzXJaXyyziaPCwg5VVB+qrD4lafrixHR7mO8nvIBJFDCwaXLKT5rID8sZIIDEgZGG25GPlv4X/D3xFpXhQ393r8keu65YrqEth4X8TnUSltcSW3l3ryXcZkDSyRy3DSwQqjNGSxfy2kbhfiP/wUe8P/ALPF3c2GpeKptflTTbdfD/gTSL5Q1jud3E15Pc73VZEETDEjSrlAscYVWDcktxSklofdfiPx54U8CaDd+IvHXiKz0yzsRm8uryURohIyBk43MeFAAyx4AJ4r45+N3/BWnUT4mk0P9n/w/a/2ZauVl1nXLVjLdH1iiDr5a5DcvuYjGVQ8V+Z/x4/bl+I/x6+Leo+MvFENxp02oavHDLZ2YYWsPlgxRokbFtu1EwACcEueSxNdrpmpwzWqzKFBdVZhtHPA4pNszg5VFeWnkfV97/wU6/akuyzWnjazshz/AKnSLVgOv/PWN647xx/wUD/aL+Jei3vh7UfjRcPDcwyW11FYQ21vkHKMhEUQ56g5FeFm8eRRDb3aRSygrE7puCu3AJAIyMkcZFeN+DPHvibXvFWj+Ir/AEa3t4by5uE/0eaVxmOOMnmR3I/1qjaNqgHgdaWrQO3tFG1z6c+HnxK+Ifw+8PzeF9E+Imt22nzzmeWxg1OdYHlZVUv5asF3FUUE4z8o9Kr+MfiPrmr2zW2oardTyzn70u44UckbjwOB61yJ14Nbm4eQYC54PXFZMPi66uhK9xcRspcomzBXdwQMnjHynj6845rlr1FTjY6KdNVJ3aJvEXiSy0C0Vb65i3XKyG1WUOwkVc7iQh6DdzyMnoO1Q6f4v0fVrUXVlrdrm1dRKptp1UM4KjG8ZOcnAyfesH4iWWu6lcWcmkaZI8EaSrNJBaqwVmI6sF4JOT75x6VH8MNPuLWHUP7QgZpvMjSLzlGFGG5wBweF/WuVcqpc3U61zOdju4PHmoafcWmg3E8sgNv/AKLKzHmNNowe4wHUAEdPpk79j4puwhDMMYBBBP5V51camt46GIxIInHmpK44GMk57ZGD1xyuDzVnwh4hvtR0yK4vbWWCV41MsEuQ0TY+6RjOR0NdGHqe0h6HNWp8j9T0ibxKUgM1xcxoqDc0jkKFX+Ikk4HGe9Y9p8VrHU9Yh0s39m/nxtNC9rcpI+wH5Q4U/ISCDjPbtWXba1Al/A2pyLHbidPPJYFdm4buCcdK8h8CeG73Tb/THubWNLmC5upJ3im3YR0jVE47/LITg45GO9dKtY5pOXtFY+i11x5kYtcDLEjn0zQda/d+W1wCxb73GP8A9Vcdb6xBBHvlutoHB3SAD/PWo7vxdpapg6pEAwLbluBjsT9cGpNSfVfjF4ctNbuNFutfjjeEov2NreYSNtO+RyRFtCbOh3ADaxPy819AfsmftfeJv2b/ABwut6PcNeaNfhE1rS/M+W5jDfeXPSVckq3uQeGYH5A1GTwo3iO/1r/hKS91f2E8aReTEY1L2rQA7zNnA3E528cV13h/xNp2n2EStqMblYhu2Nu4x144pmNNPW5+tl3/AMFYP2SLSRoF1vW5nTG5U0RxgnBx8xFe2/CL4reH/jv8MtP+J3w+8+Ox1eOc2DajbAMDHLJCS6K/I3xk43Akdxmvwl8Y6tDq+nGfSNWeG+iQGF1ibEmeNjccgnoex/EH9D/2Jf25fhZ8Cv8Agnx4fsT4rg1zxppWn3sz+FJ5XidZXvpiYjKsTKoVX8w7iTklcg4Ad7l6w1bPvVWHUfnShiBwazNA8Q6V4n0Gy8S6Bei5sdRs4rqynCMolhkQOj4YAgFWB5APNXBIwGCc1RZOd20ZHB6UhPc1CVCETGRt0gxgyEgAHqB0B55x1wM9qDKe5OKAJsikLrmohJ7Um8+tAEu8UxpMjrTS5AyTUbSAHg9qAP58/AXwb179mnV5vg34s8S614T1iWUXeq6z4UsF1i58RpmcSXNx9ph+1wvEskTP5jMgDt5McgNfUHwO+H/hdI7PwbArXWs6VCH1i8ub2e3QvbrsW4ug8cex5EtZ1jeMeUFjd1DsUevlPS9Y8FWnxq03xve+Ox4yu7jxDJ/Zt5F41ksZZIZY5WKF4hmSFGWeXCxQJnKyO4CE/dXwz1XWfiF4cuprDXDB4X1mSN9Oktbm8Qx/YmWWMvcIXIBGFWRJTE4gHl7lLZ7I6Iy5nOCf9afj20+4+h/gTrWtnwLpth4muYJmgtEjS7a5WSW4kVtrN8ihGHIBIwc8lV3bR6HDKCMbuR1ryj9n3xsfEml26RafKsE1rDMLl5mneTMaiMvJvb+EHILMQcZwQc9l40+H974hnbXNA8c65ol8tmYA2ktbMJF3BsbLmGRM5HUgdeeKqTFK7d0cN+1XNNbaYlhafDG48TfbrC5e5t7U7VSKNANkxaePeHMm2JE2v5rAggF93yV+0r8IPAvi39mS98CfFhvEOl+bchvA2mXmlm50vTtVkt3tLORpFllAS1Vkd0mCHeArOCC1fT/i34TftKfbbXS/AHxwOn3V5eNNcX2s2pvLh7UeVuQOjRom3fMBGiKuTGctgkeIfHL9qq+8F+PtT8F/Gjwh4g8WW2neItIt4bjQ9JW/Ni0qqj2/2VVSUSSIymJlM0rkSZWHzMLk7bEqOtur/rQ+b/Cvwo8G6Jo954o0zSzovjfwzrk+na+vh7xFaXOl29xGjSpFYqJxO8LxzW1zFI3l+WZ9u5WDqne/sH/twan4s8JxeGPEMF5d+I/CtnY2GiafqmgC/ijhtnihhELR7ycsIyCGjjljRJVKGCEp3Hxf/Z8+Efxi0e2+O37JmiWkVzoFpHZ3l9pwgsbKWG0dZRpeoOnyy20h8tRdgvPZsI5G8+A3CDwz9mvxvbnxT45+OHgnw63hLwh4W8X3uh2mjiMLd+HFt7CyjkF3p6BkmZJIYYs20d5deeZ5GW6bdcPF2n2/rc2jaTfN29O239b/AHn1V+yT+15+1X8Q9M1HTfix4Zkv9K8PXl7YazPp/hxLXVNEDsZYLmaO8nnjuIooFkXco80EMkkcrYeoP28/h38Lfjj+zb8T/ir8IPizc3fiG38DvCfFF7LCY9X0+2ibUbSEfZPJMq+dHFcR3JDvG1vGyF0a4gm858V+L/A/gHwB/wAJr8P/AIi+DDe6p4judP1m/wD7ZmtbDV9tv57m70tHVrF4ZDIZNqtPbOpkKThJYZ/Ef2yP2rPB3wT/AGLvEnww8KeOfDg1jxjoGpSSz+F/HUmrO1w+nGJo54bi2tntkmcyyi4ijnMkkMcc9xh4g+dR/u2mZVeX2Tt00+Z5V8JP2lPCNh+xP8IbgeK7Ww8L+CY/tWr6BFp7yi78QX2ua/BZ6ZcS+YP9Hg06S/vbjftkljFtGksb3CzRfqz+zf8AG/w98Kvh0bHwr8AfEGhRXy3us6z4s8e2T+GbC7vGmM00ly9zDG8TM0krrHBA1tFGhWMKmzd/Pd+yzqfh7wx4VXxH8QtRtJ7C11a5l8M6ZqCgpBcSJbLPcoChDMVjt1J3Ajy+D8xB/WH/AIJ+f8Frfh5pWmaX8Jv2jvENpBprWtvaaD4tu7uKCC2Kcrb3D5KrGoVhFKcbG+V9sYkmRRqKTfdnRJu8l3d/+A/6Wyvqcx8fv+Cl3irxX4U1z4R+A/E+i+HrbVr+8bXdU0DU5ruHUjJJI+YF1G0gkiH76QeZIhJOxokt/LjUfNqfFLw4AbHVVgumYofMjSH94x4Z8b8ZBBJwM+x6m58d/FPwO1P9qz4gwfCSLQp/Cln4svIdPXQNW8+ykiMxXfbhGEYhJIACgKqkbF24xb0Hw94Hv1a+u/BUALx/vbOWAEAn5iwOd3crnjJxnqa8+eM5ZbGlDCxlBST3OTmn8NXeqC+OgOifbPtSSiOQkP8AP0AJG07/AE4wOnOepg+L2mWUAjjsiGyo+YuuRnH9z1IH4jpW74c0Xwvq2mfbz4ISxRWVCL7Tlt5CpVDyAW+6SVJGPmDDtzXvPEWj6N4tsvAdp4Vs5xqDKEvXkVREriY/d2Hco8knrn5qh4+pzcvLqdEcFTjFalCX4qrqYMNnYQjOCrPexgYxkZD4z29ufwrE1DxZremv/aV7p7SJaBjCltbrKse4LuK7HAwdq9PTvXpOnadpEELXdnZTxM0Slw8uVXsBtkYiPPyjI44bGDzVDXdcibwzfG6EtpIkboi4HIwdr5bPykY68n2rF5jNvRF/Uae73OIt/jF4nkkjaPwLdXMW5WKG3Kgr16hz9c46cY6E+kadbtrunxaz/ZU9usnlj7NJEPtCgn7hZBhSQQMgsCeccGsDSfGdzFr6eEotNso4I9NBM/zmfi3tZPmw5j6zsD8vTb35rp45TELj+0LeGQmFEgPkNFkHOSACACcbcljnd04yMsViKk7J+ppRowg21c1/D4sLFJrO4kMST8QyfZ1O5gMYLY649u5z0GYvEOj2N5qBbS4riO4toj9ncRFPLzkElBz/AHG4wPlzzgY5jxN4ivfD+hQXei3ZjlnuIomEcSMNhILgFiQehU4A6cdqsabrT3nhu0n1C5jnvbi0jmkWZCrltoDHAGwE5BwMdMgCuO0lDn87HS7OTiU/Guj+LF0/7J4NlWK5RQrSyxvnYVOThQCrYbJfPAHGM8cLd+G/jFomjSagNTtvKjty0ql5SUUAklt7FlPTnaev0z6Rp8tmZ55WgnTCAoH3fOQCM7mOVXLc8ZOelcff69rq3HjNbrW57izTR7xo0uLh5I0VrmZflQEhTtUDg4G0DJzkdFCvWSai9FqYVqVNtNrVlyL4c+L9TtIln1CHMiqZSZ1k545A8ge3fv3qw37P/iy1uRIdRtYml2FZGsgfMY7ugAGTgD6bfcY6FJb2fw3NdabfvDcXGnSiKYSpCI5GYqHTfhkIO35zjlgTgDJm8DS+NNH0Z9N8SXpudQ1PW5ZrQtcCZFthymfL3bQoGdp5wSduSKh4nEODlzfIv2FJStymNYfBLUru1N6PG0caJucItvIrcAMSBvGCeeBnkkDpzFdfDmO1vpNNu/FNyxxgtG0oU5A6Nv8AccfnjGKd8SNA8YeKbvTpdN0Ce6miS5+0G2s3fy2ka3VV+QDGSDjPJ6D0HRapPbCdYnXbDvEUpRMH5MZPJBHTOcc8cnPKdWuqcZuW4406Tm1y2scw/wAJfDRke2j8bXE1xlils9xG0hZEBYKp5yNykg+q5ABwZ4Pg/of2Z5mutQun2u0kYkjWWLHdsxkBQOuD2J47blqJ9M12fVJdJEETahfi3vJoXAlVgpSQgtjLgMAVwOBjGMmxcav4f0T7RrF7dyy26gPJHAHRpg7j9zuJ+6D3ByFBA6caN1OeMVK97GTdONNya2Ocg+BvgnUrUtc313ZyCQKSblTsTjLsfKGO46E9MA5K16J8PNB0jR9KXwx4bkV7dLc7pHZGa5kCk/Pg43E8AdBuwByc8R4j+PN/pOj2uu+DtB0/ThPPcxtGgDOWAgO9iNu4HIx34PJ7ZNv+0R4x8TJcLqV1b2kcOnXNyPJ3qzyR27SRqxLkEGRFGBjO7HXFetRpSpx7s8atWqVbvl0Ptf8AZX/4KCfET9m6OLwj4luk1nwyhOzSb64Eb2oz832eVv8AVno3lnKHDYCl2kH6HfBH9of4UftB+G28TfDDxVHeiEquoWEo8u6sZGGfLmiPKHhhnlWKnazAZr8CbP8Aar+JEMQaQ2QDHkGOUNkZyc+YBzn0616j8F/27PGfw18QWPi+LTfs2rREm11i2YeaYBJ9w7hmSPcHUo7bWAKsCMg7J1I7ohSmpfCfuTY+NNE1bX7/AMIWd9E97o8cD30SMd0Qm3lNwIGMhCRgnj0rQMhJyP51+XXwU/bp+LXhL4r3Pxqv9XOsxeJ/Kl1jSHnKRSw4BRVzkxlA2IzghQSMbWYV+h/wb+O3w4+PHhf/AISv4c66LqKNlS7tpV2XFo5zhJUydpODgglW2naTitFJM1TdtTtvNOevFJ5rVX87I5NIZh+NMon35Gc0m4djUHn4PApDNkYoA/BjXPgv+xn4w8VTeK/FOpT6xIVS30rS9M1O51R7div2a0lgsbO4uJLGBWFssWY1H+jYIj3Ii/eP7LOgrq3ha1+Knxe8NW1lHe6fa23h/Rbuxdl0qETThVIdm3XDiZQ8u1eNqgsAXb5O/YF0BPhn4Lj0JvippbXlza3Es/hvxD4kj/tVZZpAreeYrcSzSKombypAHkeVw0kOfk+t/wBnXxdpnj62tPDl58OhEljE8clomk/YRa7ppFwvzsGICM7bGI2uGUurbq7I2SsidY+6nf8Ar8/M+g9HsvD0qQalpNnYlUV/s89rGm0Bj820rxgkc47j2rXif5f61maTZ2umWq2tpEERQAAABnjGTiqfiDxZcaHLGRZxraK6/b9TvLlIba0iLLud3ZgBhSTg4J7ZouRojI+IPi34UaV5ms+KPG0kcLRlZ4YJZLmOTzI2VAI0V/nynyogyXI+VmcZ8Cj8Efsr/FPS5PiBa+NPEXg99X0s/Zw+sXciWkZO23neG4dorWQpGCxlCtIsyY2FwD3knxt0X4xeCL/W/CPgvVf7H1NrmyttQsSbm4l3xohnWO0EoIdS6qdxZDEwKhtqV418a/2adY/avtLrwrrlhrHh/wAJ+GYZ00WfxD4Zlv765uHmYzzRpqMOLZfKWIq0KybRvKAuQiZtu4oqW6/r+un5Fm7/AGQ/h7pcln8VP2af2nZ7TU9U1aKEauPELva69bIC9taSzWM9tACZYmVScCTzpoxtZ1mj+XfA/hbUPgxaah8WvEPiHT30j4n+PPF2h+K/FMgvLuxtL/8A4SDU9LstWgBt/stsjxEWKusPlAwaaPIRFu2PrUP/AATx8OeGbDxFri/HXxBoVrDdWkl7dG1t9LsDGLiOYfaL42sDXhkVYVaQNHKuGw6hVZeH+E/hzwf4n+Cmp/BR9Ct/HXinTte+JPhjxheXnjO5Fg1rJrOpySzSXFy5C3jK4eMwGSRhPG8oHm+cmd03p/W39fiXFNS0102+7+vLc9y1/wDZj/ZH+HGg6v8AF3xP8RNP1nX9N8Pzy61qHw38TJpGpSR2y280cKql0fNDeTJNJDIzxTTsjm3+RVT8ov27v2p/H3jCDVdb+J/hzR9Xm161kt5/EUlsgu9QhkvYZzHN5arHFKFiXlAIziRoo4shYoP2yj8TfhJ8NLXwF4+8Y2Hi2/0TxJqvhHVtVttMurbULZ7W5aSGV58sJYbu0nF1G0h3eVPLEg2wsB8s/ED4oXXjfwRaeELu91GKZNQQBbp98HlASMBvZi+Q7DAxjB9q56klO5FSn7aabd+39fcfQn7Ivj+6+EHwkj1EeH9C1ma41KIytqtiZbhIQ00ihJGJ2RI0KlVUIN8zNyeD3Ovft0eFfEumT6FP8IbC7u8ShZbGbYUQISdztGRtUdV6kY44yfmrxN8VfD9p4Q07wJ4SW+tpVsLVtRvrqCOPEnl4l2xK7bl3s21y6bl6oOgg+HOpeB7aG4hvPGI0q4eJ0ET2HnIwdXUsrIrOy4OWDEHnoflapk1YUqUZyb1301Z7HJ8bvCnxE1DS7jSo72K+DpDLc3MaJNAqt+78j95uZQo6NlcIgxgAV6rYfEObwbb3F/r11JfiZHkhmWP90qnOcgqSmCSP4iTt+bqq/Keny+GNPuoxqPiPSNXtCymGWJCFaQE5Ekcyq6DaTyAwOeSMgH2zwHa6BFbxSaDPeosjGb7N9ulVpoipJhSXGDuHUDliRhk6V5+Jik0z0sM2oNJnt/wc8TW8Xhme2hkjS3kZCJZryNApWGMZKsQR8sfPHG4jIIwOjh0LSvEGt2/i6e4Rbi3RDbzR3aNB0nCjYFyx/fSHbvGSvUYxXmPw+8H+HdQ0KC7sdDMc9vKY7eNx/pLbNrO7uCP4mIAAHAHBDV3yfECx0fxRa/D5PD8U63EcG65kvYyY2kjldhgryR5YB5BBY9ApzwNy9q7bnoKypq/yOmtryTSIotGnhtzb38cY4d1BbqXKjIGcfxZI2gkHtm69qEtzol+1rfRbfsdwohnYrIBggHPTkjIXP8SjJJqnHbWsDu9tL5heEvK0Q5CqORkElmHJwAeelTaha211oN/JDA/muq+VJPbB2bbuBIbb8vXkH1TkCudSTmjSafI35Eelaz9onXX59DtUnntisl5EbgXO1ljXBHmFASsKAjZyoP8AeJO3qGsWYdVexvLhVRP9GSUv5oPzYG3y9oJyOW+UcnOK57/hP9R/4TJ/Bl1pOlraQ21wqTBX8w+XBCUOSSOWkZuncd8mtC4s7wwFLXVk84Wf77ZHK7Dpgv0yMkD/AICTnpVVnJSXN2/AKfLy+6X9dQ3LRvaQRSzhnKWkNujgAIQCBKCoZiV6YxjOewdYKq/6fesEdSAVQeXIm0JkqsShVOAR8pHC4zjOeT8VeM/EvhWzhOkeKF0+M3yRl3tTK7gJM5QEhwCcA54+6cnJxW/ourT3ek2V7ql2l1M9rG7yyQ4Llo8lsbdq5B/hAxwODkVN5+yT6XH7vO11LXnalcWAvLCJI0hml3XLwTbGB3BADnAP3TyBkk+1ZPjTSfEZ8MaxNM90ttJDItvHcXMzLGCnJIY43Al8AryVB6E1f0u/bU9QgsbRpooUvIkkkmDMrN94BgwbdleDxgblyRkVRPi2bxpYa9Za5r123k6HcS+RLZKkKOLhwHyrZLfdXBHQZyMmqoxnJN9iKslGyZ3g0zxJpHkoLpc8me0kfY0crKOgG8vy7YPynIJGSBVXWB4o1CaC51XUJgqxrNvfeXVFXAUllygwvIPQ9xyao+I7G+i8GXlrp7yteXFigtH01p1kRsAblbpvfoNuGA6AdTQ+Het6zYeFdUm8XSXct9dandfZ4dRBy0LSAIFBB2oFJKjH8PHvmotwcrluXv2sb+o6dYXGjQGJbK/1FLol7h3l3uuCc4eMAnBHc5wvAPzHP1lptsNjezCLBjEcENszLGELDn5SAMADB+ua4j42XVxof2OHT7md4rgiSSDTtRWIqWmjDKWVSvr6jGQM5NdZa65rdpZw2oeNYXETrJIkbIrYBw28YOTklcYJC5BxxfJJU4yfUm6lNpdCG406HRYEmQIxkTcZotgjVWA5ByeDk8cfQdKxfFseot4ZF5Pqtr9jt5oYpdRv72O3iiKoV2tJMVGSWB2gk4GT1Fc3oj6DLrmpfZNHkSZLi6Z55JkdmYysGI/djqEHy8+meM15v8UvhfefEX4i3fiGGwYJ5EKSzvLuEkqg7iMtxwFXAx3Jyck9uGouOIjd9LnJianNQdtNbHpGu3nwl0mwtIL39oLwgrvDm5hg1F7oxSFicr9njcEbQmeQchsDABOZpfjn9mWDzP7V/aJswzbomEHhvUpuHBUncsGCBu3Y6naRxXDaX8ONR0QeVF4d0mbMm/N5b+cwGCAAw24GOcY4Peo/EngjxL4g0Gz8PCS0ghs9jKYYMtIUUryS3fJJr2op9zx3GVt/wOyk1/8AZvaZ2079pHT5jjAM3h7UrdWHqS0J6Hj611GhSfDbxBY29rofx58HXE+n25EME2qiy8xDI7bVa6SJWbc5yMgkNxuwQPM10bxJd38N/quladctC5fYI8KWKbOevTrj1/On6Z8PbzVtS1C51fwrZA31m0ISytV8u2bCgOiMT83ynvzlqfvdx8jvv+B9CSWfinwdHp93rN1HBb3dmG08wyB0nRflDRuhKOPk5ZSffnOPQv2ff2k/ir8DvHVr8QvAPiIw3EbgXFrLvaG8hyC0UyAjfGQBnkEYDAhlVh8peFfDmpeBPHb6v4a+GphsbxFggiur6Tyoj8uSzAMQSVHLe4GRXo8HxA1OD7PZ/wDCo4/MlvBbQvaeJFIabcRyrQDALA9SO3PNJps0SsrM/fj4P/FXw/8AGb4Z6L8T/DLk2es2KTrGckwv0khJwNzRuHQkcEoSOMV0nndz+VfEP/BHP9oO78WfD3V/gPrPh3xHDc+HW/tK2ub22D2VrbXDbRapKjMqsZUnlUMQZN0xVcRMa+1ROM/erRO6GkWfNIOCaQS+9V/NU9SBSiQDv9M0wsfhJ8BINY1bxDbW9trkMkPhrRrpNTlvUktlRDNLLBGjzypDPEGaNTlo0VJZGjZGeR3+nNE/bx1PwBqa6d4ugvYrObyLi1vXtUt2lgkhXyxtYb4o2dwEkmMfRvZj5N8PPG/wRtvCGo/srtr97eaR/YNhHNZRWqteXX2hjGt28spCuImBnKk/vB5W1SqSYw9Z0zVvgD8QPFSjwPK8Ot2KWunrrrpeGQxJOp08oJgklykBYAho8yRSDzWCoH2cuVaMU3Hmt06f19x9u/st/thTfG+Zor/QbqONvtDtOYwVgSPy9u7auVZhLGShyVLZztINes3GqeBfFPhy8ki0+C+jdJIfKnyGlaUKzx5OWUHKbhjjHI+Wvzn/AOCbHxY1vxB+zhBcadc3F/rd/e2d1rd017KDfzNtchiwXpAikqzFDtwMNId3qSfEbQ/D954o8H+IPiNdW9zpeqW1pCNG1RESO4n2TvK2XMzohlEed+xDBulfqQ3J2sFSKTsl0/y/zPRfiK+t6LdS/wDCH+EN97/o1vYafot4YDbyNEW2xLbqW2nfvKEcmWRtjB8jxrQvgR+2r45+L0HiC6167XRJ4mu9Og0+++yWmoSQXIXzLhSrrkq7ESSqjKYij708uVe//Z1/Z78B3Mtjaavquu6/rouBqWtXou2vdMMziUlgku6VY2ZXIXMO4qQ3zSEN6L8WPF2pfDxrWD4Y+LZbd7Eyf2f9rnt7extQEnRIDvi2STMSzr86OC4I3BQDOqWpLSi7vVnKXXjz4n/s7aJqHiXx3qXieYabZafa3fmTWksximkicy25tWBjFswYtJcBIpQ4Mrwp5jJ8Lfsh6P8As/694H8QfHq9+JdpqOnWviTWdeN1rN7c2sFrbXXiG5tvNnWxSOFybdIroNIrea8McKRBUWOX0zXfD+oJdT6vbeLbfxXrtp4haXUbLWNAk1jw5clY7iWW3maOKJ3UgWkmZ/N8sgtECIkZ/mT9gq9tPHH/AAT88V+G/CuiaXN4p1GyvbODS9ds7eWyTSZLy5nnUNHGrQghCftkkiyJJDCfMiS3txWUpbvyBJ6vy/Nr9f1Pl/8Abz+JvgLx1+0Vc+PfhnY6lZ6RePaw+IYZrjemrX1vC8Ud1FsRFdJF3qGCRZyGMcTOwryDx++g6hpehSaHN5sN207SsqANGB5WASCVJG5ugGB19uk8XHwn4veKaPT4tOvLk3ECpPOAYp4kUJJvP303srY+ZmzjLEkDiPGtzYaxe6be+HrSOyurySXzbdZQsVuxkUGP+8gVsgAk/Lg5IIriVWTdmb+z5Va56H4F8N+FfElxPqUlvOYLoj7LbwwyO32ePITHHOQC3Qn5u2OOlb4Q+CbmB9UsNSiCvFhPtLhSqgAADcR/d69cHrXUfC27tNIm/wCEa8QeGLK2uLSJRGlxGFR4ySBsEijcuAQDuxjJ/iBPpNza/DKcxWd5o9hbzSMWiRXgMrHftDYcKSA20DHIIUc4BrF42UXbludCwqktz53ufhrFbIsuj20V20a58qInDbQCST8xOf06+1d58H0judO1eCPUJllkgaM6XOA5j3RMMoGyCu7HCkbQD1+UV6L4l8IeEBbPJJYizK7DLBGjxGXGDtG04UAdznpjpmuCh8NLpvjO2vNFlIaGBmh3NgxlsAjPfAB5zx1rN4iNaNmrDVB03vc98/Zi0E2vgSfStT0lZGivAx3XQjDeZs2bcnB3BWODtbAJxjBF288DahfePovESQSpDaPGvlBI2yAkkYPL7if3rE/J24BB4oeBNfvLPSoLGa6mPkO3lrE4kVMsSzIudoPBYkHJ7niuusdK1XUrR75JWCxRb45i3PAbadwHy9enP6V586klUckd0YJxSfQ6GWw0qyupoJrGKEQZL7m8wyA5KeSjbcgFQGwT7epztVu9Maxa9tZI4UlilhaWK4Z4zEUPyoVVRyYwCCG6ckGsbUNa1e7jWKbxTciUBf8AR3DsJAEwGIJ3ZHPPQdATmszxdHbWfhvXPsE4iu59PmmkWC1kjEjMo+8SMvksp464GcgVgrKSLlrBo2dM0W30vXpPE2oQqWZysckOpO0gVwAf3RiUdI0/5ajG3gndga63OjG8n1DTrhVidGG4xxtIQTja4VTlhkDjHK9elV307WJYluUguE8uMI99Ikq7sAcnj09CfQHrWKiujywWmpXDW8cAa4l+0xIFBVQsgwpy+DyG5DeuSKVRuo9ehULQWhvav4O0TxdZ/Ydbiit0huA9oYpfK80+XIihT5bZ4fPQEnH0qWO1t1t0060nIgtI1EawSBZQoyATuC/wZJ6DgdeAcPxRrmj+EdFg1W9kup0vrKNItQbSz5McqlskmNXAOFxg5JI3YwMVe0G6sfGdhDcabA2nwxRxzJJfM0Vy+7JyGZduGAyrcEjGMgZKfNyJPYSlF1H3NnTtAt71bfU7l7lI0ni8wsCVOdgO7gk4I/h5Y9O1Qa7pMWgaPqN9FJpzm5tW85rezmgOODg755AwzywwM7uw4rI/tzU0tZo9XnQjcQiPY5WSHdwwI2szhkK4+XJ7/MMz+L103VvDEn2LV9NuWtbdnT7HqlvISN5TLRRu5Zd42ggDBXafmHF0+eOi2Jq8rjqb2qT2+oWccE1zbLGqhoXktkjR5CoOGZSNzFAWOecgegxRsE06GJo5NUtmlZleN0mUmVcAkA7n5weQfUA8EAclP491zTtDvrrR/B9uktrC5sLu7syZNwYI3yhvl3FyMMATgda2dH8USeNPDd/ZC2S01CTULu3hm02MqqQI7eWAzjaW2kfMeWIPHak4SVO62uNSXPZ7mlqmm6TqESXOuX7xywsqhDDbzhVR1wSskTgEE9O+AT1qlLfW8doxGqIskKhpIZU3b1BO1iIwqqASBuycGRcCrHiv4heBPB+kRXPxM1ZLC7vIFtEivbidvOjiSIZGwEhsENkDDEdf4qzdTktfDFxcx2NhLK0iMrFLZjMqklgyuPlbGVA53Y7nksvfslca5U2c54jXxBceL18OeGNElW1ljVHlhtIWdyfn37h5WAWYjblmO1ieCMQzeBfiWssVvq+oQWUdyp8nyNSjiYMoXoDDITjPPPAIyRnjY+Gl5p3iLX9e0y31hbv7KYLaSCIzxvDIGkUkBhhsmJlBQ4J/Dd2zalcNp15Yx3flSTMqQzohLrtBw8bDdg/dOSTyVHrV/W6tL3b2sR9WhU961zy67+HPxC1ofZtT8WrYo04jimuLNSpCqCXLREZzw3zAMBncvzZFiT4L+LbQBLnxfan5o1mu2juhFEQpL5bzPmy21flBClgMnrXd6dLqljo39omzXVGhmjjuGv3XdKHkLF2ZGTJBzwd3y8dRzFb67oGs2uorfeMry91T955Fj5Qjhdt58yFj5Y+VUCsCWOT1Zj8tdNOvXqJ8r29TKdCjBpNbnlEPwt8dQ6uIZPFSQNDNH5RkVwt1HjLLGyzOUboPnHG4EBwc1r2fhn4l6dpMMTeKISdrCYQW6QSMN7AbXaN2BK7Rjn688dTqJurPS4odPESuZt8EUMKOyyMrECM7W2rtDZ+6AFHrgJqkjSEQQW/k+QpUyPGo3uVADK2xcFUYDeuTz06AOOIqvqQ6NLsZdtqPxP0Gz+xX32S/hA8qeKRUmJOUAI4g3ZLPyWI+UdQTtn8G6rp7a1NpWt+D7mBUBMj2QkjzhgVBB4xkH7rsAV/Gr8Oq3vhjSE1m20GLVJ7OW3i+zTy4eU+bHGRkhmbKlj35XnqK1/7K1C31+w1rSrKWLTY7eRr2whkcnY0Uo3uoyMhtrc4b5l4wDjeOKqdyJ4anpofSH7EH7bXhz9lDxFfQ6LEuqaVri2seuadI0nnIkIl8l4pAGCFPPk+U5Vg5HBKuv6ffCH44/DX44+GE8UfDbxTbahEFVby3WQefZykcxTR9Y2BB4PBAypZSGP4qQeIJ7fTRBDfALJfW+yRmUhgZkLgIxIBMZIGMfiRX6gf8ExvD3hLRP2bU1rw7o0Ntcatq9xNqUkbZMkikRgDsigKMIoVQSzbQWYnrwuJnVlZo5q1BU9Uz6YE4z6UCbnJNUxcDPWlMw24zmu9O6MXsfyS+B/20PizpHjCxsrfX76OawM95e6mFSG/eSaKRVbzJg5YMJixYDdtUKGAw1fSnhL9vbxz47+Hmq/Dn4w/DbS5P7XgsIrLWFvTFKtwrLHJIGZWIMixsSA37tnLR4CRonyP8FNN8OaDZwQ3OoabbXC3IBubszyq+Y5GkYhPvyGQKFbd2YY+ULXomp6prGmaRd22hyyf2ZcIPsdzMssG2eOGHI4BURN6b8ZVQSMhBUfh1FNpRaPoH/gnh8fvBOieCNQh8R6XcyXN1Yx2cMKXilEWLS4YsCL5YQJJohI5fLOI1DklRn37wj+3X4Pv/AIm6nokmt6vbXr3F3fX4t7exiEkptrW2S2VUjMQh8qBtzeWw3SuwB25b4D/ZD8fadovwn1STWtZsoYl1No1jlCmQq0TOWU5yDltoA6l/Yis/xF8T/HuheOtQ8aeFPEsJ1Rmit44YLdJH2skbOWdEwiHznTcHJcowORyLk0rNb/gF+aeu1v8AJ/mfth4I+N3wI8KeA7SwsvEPh3R/E0urKlzrGv6Zbia8zLF53muVKgGGGFCp2HbHERuwAa8/gD4O+M9Rgvl/aX8CarpEuo7ZtF0XWLXThbO7O08hjhuldnLt5gUFATDGHV8sx/Kn4X+NfE/ijSLjSPij4g1iYQxXFzIIJCsk58gkKhaT90+AuHBzuVt3RTVn4XWFn4l8TXXhKG/sNM8N6LdoL19fuLe6mErBlj8oS3QEwyrK4jZdoPAY4AxqVVGN7XGoc1TXT9EfaP7Rtp+yR+zisXizXvhZqGu6np/9nXzaouoLqlhdqGkjuNJu8rNDMSNy4dF8zfFK0jSDe3wx+zX+1R4R0b9mDwP8HfGXg2e302fw7q+nG70ry3uJZTeahcw3jShC5ETT3MPlMB8sjb5VSRfKbefHr4C6eY9I13wHL4g1mK5SK6js71NL81zE4LJcwvK8WMmEPGSr/Md6EgR8D+zj4W/Zn8QfsxxJ4j+GN+fH93a3kekanfSeVp92sckhj8uSAtLHcLI4UHag+SPcWTcr8rqyabsZJyd9G9v6R49p3gfWNd8V2llc6i0a/bEayup5EjffJLFuYlgQpCcleQPmIDAHPO6dpluPiXpl1dlbOO4ktp7sQoH8teCVUZwfkGVGTxgHnIHcz+B9R8H3EnibxfDqNlcXCXcRvxLaPAbjy1cxSRPbRjyxGNoVSRuA2bSwB4n4RJJq3imKzMFkxksp9wvm/dsFjYgc9COMY9OQRkHJSuro7be8j6c8FT6lrOkw6i2m25tUiMsEyXcexuQvCAFlwQMFRggk4Ofl7PxFBrF/4803V9O8LNqdkLGBftf2eeRYj5qE/Mu3oo38jqATkZDed/DfTlj0yLVY47CylXzI7xNJu5NtzAFZW3qpZX3MckrzjO7HGPQE0Gyk0aK5a3uGunUzuk9w5RQctj5lYkYI4OQcDB+UVx8yhO6OpRuvuNbx/qQmv5ytvK4ZQUk8pVCqFGBggcZJPckHBzxXCWkkkt3qmoRzSkW2j3bMY5/LcbYnIKNtypGAdwDbSM88GtjxJPejTokgjZgsoeQw3TBvvAhAGUZ+6OOpz0xzXM6LdX0urFbRSzSySW3ky2odDvT5t25SrKUJBPTqO1OCtElvmloeifBDVdZ1jRxdyNqF35WoOha81YyyAKQcLIVUqCeigjHP3uc6lt4mm/4aBtdNtrO4lD2kZ3pf4Rs2V6BkbBnPGcnn5f7vzV/BcQ0ywmjg2ohH/HlZ7IjksAZQF6k7iMgEnAIyMkdN4e0u30+/Ouj7c08AkkRBctsAIHVCNmMYBzwcLkYya55zj7STXU3UXyxXY2dCT7FdxaWlvcIYbkiW4djvKlyCGXe2ASQQNoJ7YzgVfG8V2fCN/bRatLOkNvOyYjUFj5TOoOS3AXAAB6A59Res7uw1i2a8t7nZbXETTB4rdCAwPTKqefvEknG7jBAxVO98R2V54Z1K3W4vN6xzI0E6tHG+MDhRweSuT/tDseedJX2NJfCcH8KdVml+P3i2zOl2ZaNrxoL5UYMzNPpYAfcWRsrjsOUyMHNes315c3ukyxeIr6CBbZMqyQgLtXH3gUHPQ/nnqBUNlpk7RR26axeLDchY3huLuZo5eSehJQ/NuIHABPBHJrkvifo/jfUdOl8PeCoBNBfRslzexnzZ44iVIwFGV/iViA23np1orSVSStoEL04Pqct8YfjH4R1f4O3nhuz8LaVr8tl4ysDLDqdzP5SF4Lr95i2mjfKlWGWbZsk+4PlI9B+D/wATdF8eeBtATQdHgs4rDw/py3y6fK7wxyG2jK2zGbzJGTIIDuSR5SDe24E89+z/APBn4x6FpsGpaFG+mW97amXzDPc20Soq4Cs8Ryxw5I3Hn7xGVqz8QvAX7Qmlh9f0/RovMlDMZ5rqeSRpd7MGLEbmJK8F2I+fn5mzVVZ0lBU0ZR51JyfU7Ixa3qGupZx+HrhLCGXBw8TnfsPzDaQ6rkKdrAHDfxc54b4Ua7qMOta5DCkW2DwzKpm8pljmJvrpXTAwM46jseeuK7z4e63qt7oSw6/pNumpbFivmssCONtzbdu4u5Pyhd2ccdFyKteJfDcukaZqcslikZitHEl8IzuY7M4cHnGACORnPrgCKNRxTibVYJ2kakmq27WC/b766SMhGjXT7h0MDoThgVOR2PHXFVLFZNQMf2S+ubkLCDDHfXzyPANoxGvmMSowB8o7DpnNJ4r8aWfw/wDDd54v8T6TcfYdMtnnnislBmESoGCorYyxBHJIHHtxS0jxl4a8XafrWoeDrPUXh8Pa7d6Rfpe2AR3ntmHm7QOSpLBhlQ3PKg8VhyzVJ6aXLvF1FrqeeftTQ/EhrjQx4N8ODVJUW4e7V/C8eqsz74VSMGWCYRklnIyUVljIJY7Qe11TUJYdakgluXhIm8sqoC4PPy/Ko+uD60niC58IzyR3HijTdLaXP7sz2yyOwyTtUsD+Pfn61ja6YLC1SYKghRyYNikBUXuFK9jgdcYH1w3U5qcY7W/UappSk+474S+EviJ4K+IfjCx8d+GbvRrm5lt5NPGqaTJbFozNdyK+HjQSBlZXDqSCrg5JLAdlJPbXDrNLNNc3CXJXzIUIjQ4ZWDFzhm5OMgj0wRk834G8ceJ/iTdz+K/F+vPqk0X2iG1nSJTuhW5mMa5G1SFXOM5POepOepAtrl5Vknhbex86I2wDA5zlXySQcsAOg4xwvE1GpVm2OClGmkT2V9ND4dvbe9klKG4iE0r2wIUfvM44HRgijjo/UmskeHdBgtp5Utw013Pve7jv90kMh3BgP3Q25BKkbjggfMcVfhN5bxSG7nWTCFTbXWJPL3cZUH5hjAOSfw/hp91q3hbxZa20/gnTdZXUtKbZrEurTrJbyXDRwSCaCPapC4lCsCSx2dwA77Upzgmovczmk90VN6Twfabu8jgY3DLZyNdqjbhlFceWxKtwGXjg9apQvfxTu9xZteLuSQFwuCp5D5Zc5JycjOApIHNPjuNPkvjFEbi+ljCxSyfYZFXOWLeUpKryW27skEAdgMVrzUvOvRpwkmSS4cK4BiwFCkFSfMJ+8QwPOMqc7ic7QvqjKVtxfG2gnXPDv9iQ3aSrdeSB56hceTIrhh8y5OFJJYFuB7CrPiKWebVra1g1SJFVFaNoJShkXeQGORkq+c4YA/N6kYcT9hu3h1bxDaWjXwFta3E0auQQql1PysFKs6sWRSV3p8p4xj69qWkaRrdtLLeRjbEiIsTYU7HYbFaQKcDlcHg4wOtXG7JbSOq0jVYZRPLomvWc1xb3SW9yscisI5uRJGw3ZV8E/KxBBxya/Uz/AIJa3sd3+zCbpbeOJ38R3XmpGMYISIDPckKFGTzxX5LeEm1a21K9S/ubOeO/1T7XZizsWgYQ4XYHCxp5kig5JO5vmUFieB+on/BIq/jn/Zt1o7j5q+NJ1uBuztf7FZfL2xgYFduCSVVpdv8AI5sQ7wT8z62E5HGaRrkeoFUTdADO7gV5Tq/xw8PX/wAavEXwX169e3s00O0t5FmaNfMmuZUjLRliQflu4Bg4P3jtYKDXrpnE9D+Wjw9oWjTPa2enahEiCzjlneFXWaEC1mcdtwCxxsQAG6J3xnWvPEni7WvCt/4UXxBqF/aWCSSvLbKZXtwTaASSAdUUpGRjoHmJ24ajQ9a8RWnh1JNG1DSptUtbaOzj0mzumeSWJYnbcxTChfM+QjcG+ckD1y/G918Q/wC27bS9b0+/hnFzILi43stvcQeXGxiWQDZIDud9m448vnJwatWWxE3eTTKGha1o3g7w9baSsc0zQ6jcRXYVhEJxG84STkHA/vAFgfKUHnBrU8C/EqzuPDT6WdLiF5d6n9qF9uzNHmSPEanBHCphdwwCcgZArzXxM/iB7lrWHQLgG/lmS0Z4W/0qN7qYl48jlSyOm5cjMbjOQQOk8EeEvFaW4vbKxtmlhz51uRt2RqUXcH5DYLE9vuN1OBUNuxcX1Z9BeBNdgm8NapYf8JwLbGlXBvpZGT/SN9owJGFYgEvGCi4wHJ5OM+eavot1DcXn/CCeIXSBbaO3m/sZJhLOWWYsgL8nOxwF2jIyMggM3Vfs96Rpevtf2vjLR/L0u1R21u7s5US4WIQoSIiw+8o54BUbQOCwJ9Q8S337KHwWkt9f+FviOfxTYOf+KhgvhGHWCJ5GihVise5ZVDB1IxwueQVGFW7ko9+p004ppzk9D5h0HSG8T2N+LvTrq3WzSIag7zNGscjbiu5HlGDkAkqpGRgZJBG9+zj4c8C6noHh201mzE96zvceeLpcov2pUVQGBIO4McADO4HoGBh8f654Iuvib4l1vS9FubHRbmyH2W00g21rLse2BhZlgiSABX8sviJWOSODzVH4aeHZtA0jwVrt5Fc3FpOPOltrR8SbBcx7hx3bcoAz6H6YzjaTSfp9wRlfW3a/3np/j7wPb+KPDniTUtW+0afINLmnlt47qRrY+VGHQshfLsFUc5GOSV6ivBfghot5eXt1runBZI4Ejhe2liDGTzCTyMH5QIzk9jt4PIr6A/anuk0T4X6pdWesTRTfYGtXHmgPOsriN432EBhl2/vDIJHILV418DvHGl/CjwHea5feDp9XlvLtWDSzyRwwQxZAYsFYMd7NjIONh5HGcKd+Rsq9qnoj1vwh4E1Gwnj1rRbW40MSqst21neNtlVgrPKUdXATYec/Mu4uqnbivSLmy19Ra2U2rpLLb5ddy4kuE4I3AKoUgDkgAHdyO1cB8A/jSPid4efRYvtImsoPKa6fY6MAQF+YKo3heMMBnr83NejvbX98Le0fUkt/maNmnfBTA5VI1RsgrwcngnGO9YS5lPU33jZHN+K/GWk6bol74Xm8LCW6nYT2uo2V05NoAVUp5YbY+4tuLHJBHqayfC2sPpl3FJZXSQeW4MpaTCM21flJyoznHpzx2GanxK07WtK8URSi4CQNayLErtkv++QFwWLdQwPHHJ46iqWmaUdUa2nTUWEjQl9sjSuMDJGE3bGGeTkE4AAIq5JOKsZ05e877nolt4q1LUNTea3Rk/e7J9gDSyKXAkY+WBkZYnjnDL02lq6238XyJ8RbXwbeeK9KTSHsGa506/trkXRU2t5MzGcJsIPkK3zP0ilBAygblvAOgtG97PYtD9tEvBl/gB3HapZiTht2euBjAxgGH4c+L/hr8Xprnx1oV2t7f6VL5cu+F0bciyYUpKdr4W5kDFlYfPkk4BHNyw5ndaHS3JxVtz0rUF8A2Hh6wc+OktZZy638VxZ21qgJdTGqTzOUmkIBLEKDxx2NGoarY2el6lo9urC9ht/ImAgmbYvIVgCmANrEb+QdmCcL8uF4q8DWfiS2bQtX8NQNY285ntYLxiwlJVcfMpjwdwYYBbAXBHTL/EWo3bS313PrcHnNpLRJaSxsXZIlbODuyw+ccktjJHPGcVFSsaczUWM8GfFHxBrfxX8TeCNd8ZRy6PbabdLDpT6U4ks41eyVfnESElEmkUfPn517htnpn7OyatceL5xLK8wsdLKxQ3yIqRg4xGfmZnCADgrgZXBOAa8x8Oa74T0D4j3eraYLR9XvbGOV/soSSV3kYGVUVc7kJt4gVK/J5IIALvv9K+E+reEfCax3viS7vLBNRs5YjamMmC1K52jbC2RnYBkIu5uSCqgl1oqS000RnBuMdfM82/bf/bb+Jvwk0HQPh58Ira1sTd6fC19Je2kdwVMaRuFVDuUAh0Ibqfbbl/XP2Xv2mW/aR/Z2vfiB8QvC2n2GsWOsNpmpR2tsWjlZZbaUSBXYsilJFUgk/MhxgYA+Rf8Agobf6CvibQfFqWf2myOlJDFNNuCyEW9t9zzsA856E5G0+gr0L9gv4h+FrT9mDxC9tqt3biXX2kXTbK3ZyWC2o3ExnYpJjPJzwOcdT0VaMf7NU0ve/wCCc1Oo3iJJvQ9Z8P3uuarrV3bw67HZrbTJcQokclwsmWA4jhZARkk4JxjG7HGcD4b/ABv8ZfETwb4jt9b15dQtNGigeCA6TbwmAyX2qQu2I4kLEx2sKHLYzH0JIJ8tf9u/4JzPdSeHorqa5XWbyG3QpdL5ixEJDNuWAR7GSUKyswKli5JyqmP4LePdMm+DUPj600qZE1kiG+uYJWYSeTdzuzLuKH/WTXD/AHYwN+3JCiojQqQp+9He1tjeVSnOS5Xsnc9313TtK8SaTf8AgvUNLkOlyQtHfrbagITOshDbTvDyKFIk5wAMqACACsFhoXhHQrLWm0XR5J31DV59T1HT4ta85nu7lVeViHCBDs2kKcdeCcisjRfFF/c+Gmuvskk6pNJC0zagsYjm6SESYw2GGMAt3H93PjX7Gfh7xLpsXjGa68Qa/JLB4gSWxsbm5mCyQpFtgAUsXZDEItrHG9Y0UghVDZRoVJUZeVvmaSqQjVj59Tt/2tPiD4n+EqeF7fwFew2Y1Q6mt3IumW1x53k+T5ZDTxkpt3v0weTnsT1Xi1dP0zxDf2luT+7nZYpkiI8s7+nTG3BU9RyenIy3xz4d8KfFKKw1Dx1p+uWt1pQle1iXSGWSDewJZzkquNkYIDnjGMbiKR9TPizS4ryz069niaVx/aSaW2ZAFfliGMeR0Jx1dSBgnESpTdJRUdVuVGaVVtvfYq/ALxtqGtfFTx/pmrSRLFY3cMdpFZabDZwwb5LncFWFUHIRcjHJyecsT6sdQkiZpDHt8tysUc8W3zCuTlRwSBj72R69Ovh/w38ZWPg2y1PxovhW81O4v9XmjuptOYv+7juLkISgBBXEhzgc53Y+YCvWlm1SWztJL3RdDmSMq7Szaq+T/EjviJiCc5B4GMHA4rLEUpus3ayZVGcfZpbjopUvDc6jbMGRGIkuY0V1jOfm2MvGQCOCRzznmszSNVkk1G4e2ZLIyar9mllR1Ky/uIjvkJJ2Fg23d8qYTnBJJ534y/GPXvCgEel+H9N1C8uYxI08Fy0ltEFyAHCQqzNkMSF2EqwO/nA4nwB+0hceK9faDVfDVsBNKJbu5sLe4Vg4+XjzI3DcKmSdhzuPQgDWjhqvI5dPkZ1K1PmSPXNZuP7S89NUsLaZpbkTJAsbFIVWQFGGJWYkJtG5mIJyRkD5WPqIvZZUjtknjARTfRTqETaWMkhLNjbuyDnI+XnGM0s9/fQqLuxi0xQkr+ZZXGqyyNszkEZj7sehwflZgMdamoeIfFljpVzBZ+HLCJi3mTNHdxOpRYTmJQ8OFz3YFskdzmto05u3+ZDnEuQ3lzKram1rJEfLj2SyOctnY6MRj5QpYgDGQRnJ4Ncb8Rri7tPEFzLJO0bRWDSh0UCYx7pMiNdxeRsDZ3OVBwRtB6zwD4r1vVLGxu7PRVmtCG2i3VijZjAJUiJfmDjIbONp2f8ALRccr43Xwh4i+JotL/xEbe6liwbGRXLM5ZtgdQFUgiQ/MeOem0kVpGElO1jOUouJb0W9e68PG31jSxdQ29tveAwbjGjLvCnAJ4JwB1zwORz+gv8AwTi/am8I/BT9mXV7fxL50Vx/wnzB7d0wGWSOyjYw5ID7QwkKqcAZztLKD+feh6PpnkRf8VRJJHJbiOx8uyMIiyFDbiSCc5OcYJJBxkA1tQfEKfwfrEvhGwvIzaLAl1K553uwlTGDnG0x8HpzwRXTS5oTukYNRqKzP1/8Rft4/A/StLFzFrM73TQuRA1ocIVO3LneAAT0wxPqBjFfDerfHvw54z+LGoeJ9ba606S6urxnk8PSOXkkkEh81kd+WLFNwWRF+UALXzPr3xT1XUoY7qCO/dVGHG1V9OxbpkevUjp0OXpni/XdQuZbvSvB+ryMs0m+WG2VgvGcHD4BGeQQP1rWdXE2ujop0sI3aSetj4O8N3nwx0jVoPGGs/FbTdFs7wmS5S+025uzLKlyCYdsUMjBXi3FCwQ5DKzJhWPuvxY8FfDO+1tvD/hjw7JI1jpmqXVvqOj2iiGRoBEhuBKZeIx5rL8wU4LgruAr5d1Hw38OfEFnbXvjHxYPtBiAU3Oo5KZ5PUjPXPYVaW88OJercx/EoJPHZtFY3L6y2Y9hjERBySF4Pyjj5PYV3qpBqzvp56HmVoKVS6SMnULg+D/HmoapoX2/Uraw1CO0hklj8p45p95ACJI54BkXryRzgttr6IPw88CaX4aTxf4Z/agj0vUZrdYNT8MixuEubR0fYySNuwSdjthdwGQd2fkHiYtfhbf3cKeOfiJeXszQRi8vbW4dv3sSqIVB+chQisABhQFAAGFq7PD8AGVvK8Wa9d+VLvFqsrYLdS3zQ9Tjk5yfoOG6tFK1rsShOyVzuvDNrpWj+Pru/sPiVLqegDUtmpXUt8YWvI9i75GiaQOSQX7Eg46jFeqWlh+zTceE4NIvPijouoXNpfSOLi50+/huLpSu3Y7yW7KASFKq2ECgDh2Zj8v6drHwY0qZ1l0XxI8kc7PGYpVxsySOdoOfX1xirNx8RvCiMz6N4c12aQ87ru4jVT0568HGP65rKU6MtWi06ihyqWh3nxVt/Cvhnw/4ri0vVrNH8yNbDTriwla82y28YdjN5MYAR0wFcAr84C5YtW38N/Htl/wiHgPQZfD7Sx6Rfwz3Wp+YAQ0h2tEiyFRkLtO7cFyDkY+ZvE/F3j248YwX19d+F7lbq9n33F/dah50zSH5i0h2hmPB5Y8ZIyeK6zQ/2gvGnh7wbZaPpvgTwlCti6LBq8mnk3ZKRGMMxL4+7ISCB94BvvKGGMqtBR2Lhzxb67fca/7afju6eO08JxagxRLkP5CbBuXbu3ttUdSwOMkZDHjit3wdB4Uvfh+nw1uI9VkSfwrbGRrSKCWSJplklkJDNGVwzkjO4BQST0NeHeOtd8XfEm8i1HxBr4uprUt5bSRIpcEjug+b2yTgZrY0rxB4pt7NILTxHPbJHbxwFXKhSoYkAMQSAMk4PHX2FZe0o+z5fQuMKurfV/0j6A+FvhaH4PeFW0/wxZaoUvtYtnuZ9Vs4l2xtKkZXNvO3GTyDj7x5+U57Ya9ohvLjR0nuLuaaDdJdWNgEeN+RjOeowCCMjnnFfLTa5401VGtp/FurPHHJvxBeF0zvB3HHHUDn1A6GrV/pOvwM89zf3BlG5jPPd5JUFs5PPQqQe/HvmoUYVG3uU6tRaNHsfjq48U674ph0Cx0nX5LkaPNva9kEbEG4UAqSzbc7SCQByuB0zWp8OPBHxYt7C606L4VaveTiWT7Hc2Wor5UBWL5FkiKMzt5hYEhlwCCNx6/NcHg7xh4v1aX7JqEyFFY5+1OMxgn7oxzyc446mprH4XacJo28T+IL+NG5njt4juTI+UBnIDZPfH+NdEOWCsktu1zF3nu/xsfUWkz/ABE8OXutRaxBZWS2MqrLHc33zwt5SHA3AcHsvHXuCMU/Bnx5ig0uLT/7X0eO7khdpG/tUZCFGLBkZsnLP0wDxtxlq8FtvgdoY8K6j4y1/wAUtY6dFLEllLeXO0XYIfOB5gwoKkcbiSGwvyMRt+Gvhn8FPENhLe+G/GyX/wC5MkNg1xmVpVUkAgDc+GR2AaNPujG4cjmlHD82q1+fkdEXWUdGe3xftF+EdP1jVZfiNceHrwR3EMtvborPGihAGKsrNnhRz0yR2IrM8YfHrwT4rs49K8P+Io9B8mCWZkuBdRRM+eInJJB3ZbK7cAkEDIAry628IaZpMjy6da3AJidJxGWjLR4CsSsa5IzhucDnt1rStfCnhmbR5fEcElpawpp73DQPvXJZchAAT0Jx3z7nFUo04SuS3OcLNnpkX7QvhjSfEsniH7RfajaK6rI8dssyLHHNKxZFXHHlvGOWxwMk81f+HX7U6afrmq6p418BTa9ZXRZ9JaEizuLYFkxEfLbLqI0A+9nI5yAFHgHiv9qLw54Y0UeE9B0P+0ZYZW3XL3CSLANigCOQ70cbuo2EYRcOdxxieE/2oPD2t3UXh/xjp8mnm6ugX1G2vWiCuSw3uylSoy3J6Ac470vq6m3LlF7VpJX2PQfi7qHh3422Vv4cvdO1qweySGGRjbTTl5GWMbfnU4XgEZ9cZxg1f+EmuS/CH4Q2/g/SfhJq+oytr8d9FqU8saAhYmDRKgA2DLbz8zfd6AgtT/DVpo91Ym9sNVhMtzcwGKO7upJGulYAFkdmO7bxkAgYjznFSTalrHhueLS9b123e3EBiSOOP/VlVDGQjcWyOQdp5zk+ycnKHJ07AoqLuZMGq6vBb2+qeJfDOpXEdnNcSwxTXTeYglIQRsXLLJjB29lOWAViTXceEvH15pngaHwH4f8ADUum29tAnnpcXyuPOwjBpFW3GWwqN8hJyXLFm4rlLe1lkja+8QrIs321h5Tu5mhjVULKqMSoOC+MttDNnpXP/FT4peH/AA7psEmutNb3FvIrxWsblZLhgGB3sjcsAU4+YfMuQVLMblOda0XrYUUqS00PoHUfjZoUOrCLxF4RF3fGEol3aXhkfc24tG5eGMopkK8rkHqRgbT5m19fxumk+G01uK5e2szNeWF5H5v+j20NtH88xUKMR7icHBZgox08Cg/a3k0e+86x8JRXYjAFu98zAqQqhWYAkMRs68cnIx0rpvBnx/8ACXi1rbSoLv8As+/eGOGeW8iG2Vsld3By55TAyTkFsAZqFQqU03Fble0U2lJnrmifEjxR4Wl86c+I9Tv7kBJTrN5b7PLydijD/ICSdw3YPy9NuTt3Xxk1a23WbfD+2R2i8uNGne4RRsyX2GdgTlcgluAcDGFAr6bp+reD/BN9cXmp6ZqMyTrc2upSxq0gX5QEYbSHUOyBgQoG5iSwIrCa78UReDzBpttFb3kdrIZWddp2cqrs6ZJ+UhyD8pYnjtWLhzXbWpop8uz0Nnwb8dfFOn6CdBuvBU0rNcy3AmgcIkO9ixwPOb5icjORggbvmPPeW37SfxXtLe10TTPh8ztDDAn2iaaEyMAiqSSJRuBI3c8k5GK8U+AFveeI/EU93q8aTRWummGSSNGZo3LhifRc7QfT5c4Ga6rxJqsHhrT7+5fXZkSzgE9vd28LIzuNjFAzqA8Z2sSwIQDd97cWUqU05e8tRRqWXus7TUP2k/G+uOlrqPw9CS2i+VcR2V0hG8qXG4NLlgQ69ccA+vHP+CfGcvg7XLnUL74e6ttJ+zT2OqeQVgdCV+VS4x8y7DnGAvUnivEfGP7WelaTqcln4U09Jra3eVbaa1ASNwYyqswmibzNrknbsUEcbjwapad+3p49udTluvFej2V2l07m7ntLZIppWeWSYyFtpwwkdThCgIjCfdZs6QoVVHlS0fmS6yk7t6n1RZ/Ge21XV5Lu7+GVlaQSQgKsMMZVQSQpCgNtPHctyTjoCJ7742eG1sB/Zvw7BjmWeCeytrgkxl4yqurPCFULjjgEZJ4IC15b8NPi98NPivpCx+HpEtL+2sA+oR3rBZWIwrM2Qw2K21gF+Uq6qfm+71FjoxGgR3omgSEE+dp9irNKDtyoB4xksM5Xaueo61PKou1rDUm9blzw3+0PrWmaOl7oPwO8iK2nFpLNC7BJ2HKhSqFVJWNyQOuccA4Of4q/aO+IHiDxCPK0/U7OZp2hhWyvhEu52KlQwKkMMNgYAAZumKz7XTNAGzS11XU7OBpFe8jnTbbS7XL7WLrjbt3ruU465Y55oSXOi614tmvdPuYTpWmRpu3agTFNlxv+63lYBXHILD5gRj5g46e80Dd/dTNHwh8TW0zxDHeeIbzxNc3VreRTrFc6nMwMgfdgSbdmOoz/AA+9ejQfHLwBpniSfWPiH4PmkafTxYCW+0+0vFVFS5DkRzsoMm2aPDJ8yNhhsIVl8y0qa2vQFS0WGRwJkiaJnCISWVQWHykKVHfnJGOVHN/E74q2/i65s7jxB4itrO1GrSKJhcRJbCNl+Xaz53k7BnDfLkfLwwDjKaleIvdtqz2nW/2xP2e9CH9neAdX8WK0KoAl7otvYWxVlwPuXb7u2flORkknJrtNC/ax/YM1r4fabb674Y8Va94mlleO5gl1a2s7SOFiW8gW6hpZxInyufMQArGShyVb4ttP2jPhot9Kt3qtjHEqqkDPJdNsG3k/LB8xzkDPrjIFdTo3j/4V+LNDsr3Q/Fke4AhIpZysnmJh2aWFJCyAsdis4APyqpPap87aburBCfLszwi51vUxfD7Pr+mpD5akq2lKq7jyRyzE4Jx6cDAqZNQmnCvb63axl0YAC0iOTkAEfusgnnkjPoart8RNC1O8mGuRWsFnJjEumQYMZHTGNwHbPHT9Kl1468P28jWlnqcspXiCZ0PH1x/hXc4Q25TkSRY0aTULPVYdQn13EMLg3WIkZiq4zj93noT1I9u9bw1HwAHWWxkjiJZhIwdnbHHHzZBzggdRz1FZMXia88UstgL0gTIsXki1ZY2yeWY/w9STj06Gus8M/svePPEdiL60tPBfODmX4h6PayHvxHJdq+e5GMj61wYyhKrUTjJrToduFrRpxacU9d7GHF/wjd7GZL3UJbd5C2CY9zDkcdRzgnntnPeoZryxhuFjhvIobdAUMiRhXIKnHIH97n8O9bp/ZD+Pj6/9g0P4RX2tzKfmi8Oyx6oSckAn7G0mc/hn0rTu/wBlP9qnSoWfUP2efHVuq8lpPBl6oAx/tRgVyyws47yev4HbDE0GknBK34nmt/czR3k0NvqM8tsWVQXHDYIGSOwx6danAifUPtDXUxXymES/atoGMgjBBGCQePf3rW1Dw94k8O6g2meINMvNPuS2Ps93ZeU/02tg/wD66s/Z7poVX7Ngp829o1APP+6ev9a2SmqaSMpOk5cyOcTWNPSNRBDESkmxnZhu6dDnIHOecDpzxV5fFdi+23uS8qKAdpbGCxzklfukHHOf4cZIqne6JfTtIIrOOGN/3YVV4Cgg5wB7VDaeHr+JlSOF3AXnGRgEdh6e3tVxpQe7MnNp6I24vFM2mGe3sNSaO3nt2WRTKzDJVckDJAJ+UE9wCvQmqUuuXDXBFxqAkLRrk4yoG3hRluAOOh4xx70rzRQS1usrZcbgpy2AMHpzxx+maqX+gG7bynmkCsQQUc8nHTHfpRGEYt6ictNja0Lxfc6XfPFNqEsUk0ZSIxzMoxu5xjGP5nFdjp9xoetX9rNrmuXIgaXF9tA3gFwSy7hhiFHAPv0rzHRfDwdxDFI4jiO5t2GPUn04rsLP4cw6pJbRwajIs9xJiJDJnknaAf7vUVslZ7nO3aWhjfFjxZqHiXVGhm1CKS3tnkFla2qkpCpckgbgT6ckk4VeeK5fwh4svvBfie18Q2Mkgkt5A0kUbANImeVyQRyO5BwcHHFX/EXh77DI9u1603lthsSPx1x146Vz91YiGLYG5boCTXVSjHkM22pXPpzXviNYfbrS8szGIJSpcZ5MbIA69wwODwR0PB4ycb43+M44PD0Wj6HdkG/VmuBG3CrgADHqcsMdsjgY54FvDXiGCzht59SlctGnlrKv3elUvF+j61psMJvr2UqSxQknGOM4z155/GuWMFz7m837uhyeqSxSu8SHac4d3O0jHr/+uufvFUSnbJnPPJrentpLqZ9jE4JILKozxj0rNvNNmkcsW546kV2wSSscrcj2H9lf4nxvF/wrnWplyk7T2Mkkh3Mp2AxLkgDBXcOe56DmvZ9ekXwxe6SL+KN40gS4S+lJdbgLtdUKOpGGYJyQ2AGzgFs/JPw+t9c0/wAX2V/oXN3DIzQcAndsboCCCfT3xXt+seJ/ivqGkxP4k0Np3UBoZLmdlwxZAyqu0qFwoG0DAIrlrq07xNqfvLU6j4g+O9P0XR4tQS1MctvbiWOQ7w7zHkku3ysSEJ2spG4L1JyPmbxReahrt1Lqt/IzvLITkPnadxOBkkkZJ5OSTkkk8nvvH/ibx5qNgtjqlmItsrMqLJ0yRnGRz91R9BiuK1eC/mkRrqCIYHH75j6e1VRTirkzacjmLlGWUhhgjsaktrUtIoYgenPJqze2Vws7MQgJbI4Pp71NoVpctdqJEBXbyPKByPqa6m/dM0rs+m/2W/H0l3osnhfxrqd5cS3Fwy2ZChzNvVmbzHLYUFlyWPJycHcx3dr418SW+h2NrbadqxiFwzQyCV2bMTl8BQMMpUOOOFG0nHPPifwTgudH8PXt0ZCChYiIEAqhzuOO/BP5kelXviB8T1vNHt7OxS5hAkVAfPdgPu5PXBznvzzg9q86cWqmh1Rs46ntFp4cs/APg648Qy29rZW98qmOaxuBho/LSR8xjuIz1yCC+e4z88/Gr4mX3i3UX07TtRlGlWsCRIikoswzuGV6cEKPcoD0ChdHUfjFcWehPoqPdNGVXB+ZcBUKRnGAMqccHIwMEEcV5xrkjgG2YSFo2Yv/AKORluO7AEdPT8uaujB3vIzqSinoYkzyzykt93PyrU+k6XNezABdoLYHHfsKgiM0jYWFuDjJ4zW7o/26GRDDGVJyDhuuQRjjtg12ybtoYxtfU9U+HPw41HwlaR69Da2wvJgfLkmDbolKjIAKjDckH8uec+4+GPE11p1npf2zUxa3spePUrkyOFIGFDNlhvb5gdmMfxFslgKGmfDi8fRNOutUvB9okjUGGNxlZPLBI684IxVX4h6RfeFfCsviFdQkk8iUK0LbsLuUx7yB6AkdO5Bry5z52dcY8u6G+I9bfSrJNX06+XUp5z5M227CbhudgZssp2FysZTOPnXGTgVtTaLb6P4cWK08TabHePGottJfXGa6uGkbkuBh12B2JHzHBbJXFeKy+OhqUtrFqGpwTRW8jTWqrGpCuZANuSqlQRyR+BPGB22q/FTSNN0CRbPz5I4JiNPWe8jdJcjBABUYXIIJZt2CABnmqcXyKIe6pORR+NvxZPwy0u60GC9a8vJAiqJ4o5BLKiok0cwXbtjjO+MkbjKV2EBdxPyx4g8R6r4i1WXVNVvpLiaRjmSU+pzgDoBkngcVv/ETxDc67q897d6kJjnyInaQcxoMBurcscsTk5LE981yXynnfgk8jrg12UKair23Oecm9BYLae5lCKCxJ6Cv0G/YB/4J3+H9I03TPjZ8cLW2udQupX/szw7eQ7o7DapIlnUjDTEdIzkRhgWHmYEXyF+ynaW178dfC8F7ocmo7tVRUtoiRtfBKTEr2jbEh7EJg8E1+iXhTxZ4hiuI9OstXt7lHupBbO84SPJyAxkxtCkYIJxkH8sMa60o8sHY6MHCm53keY2X/BEXxhasWjt9Ru9g5jgsBck8Z4MMjZ7DgHJPFag/4I/+JvDEP2zVPAeorEFL+dfaZdW4IAySMpjAHJNd34R+Lnj2BfPtfiT4qmEbDbDNqM6JwThMB2OOQT0wSfY16x4B/aJ+JOh+abGCKZWZJG+2NK5HzAkAuxzzjP4Hiuv6nXW1X70mcSnDqjwnwb+wD4b0KSHVX8M2E5tz5hjeSR8FT0O4AZNezeHPB9noEMVufhvokWxdplGlxE8diY19vXtzXtHhL9sv4mWCs9w1ra2xZQ8UULgOuN3GWIYD26Zx9Ov0D9rPwdqEt1c+LfhvoVzJAgIuD4UtGedtuW++rDbgnknOQeDnhOhjorSUX6r/AIJSnTe9/vPBdIvNX8JXZ1Pw78LoI5XPmNNFo8hBKjAP38nAA5x3zWzN+1J8bdByJ9GghhVcKGjmTb07HjHFfQGi/Hf9mvXb9tQ134d2yGVFIjliWzi6DkCCaPpnkbfXjrWi3iz9jzUo209gbG4a5AiWDUJfn5G1E3LJzww/ixg5PANQ5ZnBaQi/R2/QEqT6s+R/Fv7UXxm8U83OvWCwlSESXR4XK8g9XU5Pviue8F/EHVfDl617F8Sb/Sna4M7PYWpyZM9Vy2FOOOmMDHTivtJvBv7Mmv3MZ0LxnGsLIyQtiC5dJGBK/ICm4DgEZGTk5GcBdR/Yg+Ber24n0jxfb3N65ZFt7/wtbWwd8sCrMLpmGcZG0E4GetY/WMa1eeHf3pl+zpraR+fH7QVmnj7/AImnh3TvC+r3uN8mo+L/AA5BcXcrjBw83ltJIG2AfMx+8wzya8B8W+D/ABHrV603iz4baBbSlj5cfhzRoLWFFIUEbY+SPlzlu7H3r9Ybr/gnD4buXU3J8OIXlaKQR6jeJsIAJYERBG9DjoSKw/EX/BLmO71ORdMtkMEIZy+meI7fhN2BlLg79xwewA2k81hLEw5bypSXy/yLjTlF6NM/JC6+FmmTSuE8F3CFwC2xG+bH6VAPg5pd9uc+EtQDlRmO3QhiMjPJVuoyM8kZB6DFfqVd/wDBMjXNRuhYeE9A8XzTAMfl0F7oEYGCPLRcgk9QTxj1rkdX/Ya1bwxqN1o2r6tPb39qVFxYX2hvHJHkbgWRn3qAOTlRgEVksbg47ya9U/8AIvlqPp+J+eN38PfgtpVp/wASvwV4ng1FlCSDUNftpolJGN3lixRgNwPVj6Z71n2ngD4cSSsniDxVrNm4UgLY+G4rk5z/ALd1FgdD09q/QdP2WNbtT9pttS0MxIMiTc4Kj1IEZAHXv2pJv2afGVuHt4PDdndhgd4icdB3IkC4H/1q0jjsE3f2i/IShVvrFn57+MPgr8L/ABLE8uheKddmvc4FxfeHYbNXZjuPmFbmbcck+h6DkAAZngP9kG01LW4LrxT8WPDOn28Z81DfR37KSDwrCC0lbrj+Eiv0R1P9mvxjKUk1j4YpMGSM4MccpHy5XhWOMDPb+fOOf2ajvY3XwwvMMh3MdHyFHoCEI9PbjNaqtCXwVI/eTt8UWfHPif4K3ltqQk0bxJo2tvG67H0k3KIf4RxdQw8cckjv65qPxn+yT8X/ABlpMCjTNDtJgrPbjUPF2mW56Z+7LcqxyBgHGMk4ya+uLz9n3RbGcW8y6halRxbSzNEME9Nq7eOv1rm779lrT5ZfOt9e+zRHoskW/HOOuRnv37VVprYfNF6M+GPEf7LXxq0i/Glr4ON/Oeh0W7hvgT6Zgd6SX9ij9rQacdXH7Nvjd7YpvE6eGbkrj1zswK+4rX9k+2RgJfGkqbXJaOOyBU5x0y2V/Uf1uXv7MuktaONP8RXol42PIisOwOVwCe/fvTU6yXwk8sOrPhTwD8GPEvg/UG1Pxr4eubC6ibbHb3lsytEOCXII69sEcYOcjiu5vbBtWhsvtNy4hSEpGJHBePoPmPTHAB9B2BBNfUGn/s9/EPw/cpd+F/GjWc8Z3rcRXckZBBblSigqcbPXv6DOrreg/tKrFLZ33xf8Q6mjQkLCdZupBJ/skM+0Dk9T26VDlNu7Ra5UrJnxl418F/btMVYZgxOSsSMDtkwM9OeynH+z6mvLNbtXtpDDeRGN4yVKlec5/wDrV93WPwn+KA1Nr6XwXaXUwO7Gq2NtdBiM84mV1P4/04m8R+Gfijd2Y0/UPhX4UmG/B8r4faRwoAJO4WucY4znqPpTjV5d0KUU+qPzvvNNW5YuFwf5U6xgMDBDjKmvtxvgbodje/2j41/Zz0C+3yOqWskc1qGbOMhbKeENyRwvXI461Tj8CfDi5vUWD9jDw0lkVObxLjViY2OQOBenOTzz25PAzWn1hbMjkfc8E+CEcmppf6Y2nSvHNCEa7j6QHlskDqMDn04/HW8XeEVktYoNkkoLj5khBx8wHYD29fyr2zQ/Cfwo0u5ne5+H2o2sG3ItPD+rraInI/imhuD0OOv8XNT3Xh39n+6iHn+CPGbIrkxO/jKzba53dP8AiW9zmsHUhKVzZKSR4TrXw2t7PQF1C8iil3r/AAOCykxgkEDnPzAjI6qeleV6vZKy+UYvLaPKsp4I9q+rj4X+D66jJYNqHiTSrVmDzSywW2pupB6qB9kGRj+9ge/IrJ8U/s/fs1atdLqVv8V/FxYxDzm/4Qq1iHA7L/aMnAGB1HTt0q4VFF6smUG2fLdvYWzpsCYx3rW0F47S5R2UhUOSQD6e1e4az+y/8CrhEfwj8eNXid2w3/CQ+DWgjTnqWtZrgnA/2e3vSv8Asf8AhaCGQ2P7UXgy8SMgO0Gl6wpB7giSyXpx0zW/PCSMkmmdd8IPiJ4e8faFDHdzxf2vYx/6Rudld8Z+ceu4DJx0P4VF+0LfteaE+jQXjvDfhTIhhXACHcRkYOS3rz8p+lZPhH9lO3sb6PWfC/7Uvgq3u7cl0SWG+t3zyAB59uqnI65PGfxrrfFXwQ+It9cQPqfi7wNqQgUBrqw+I2hKrDg52Neq6kkdNv4evPKk1O8TdVE42Z84z+DbMAeZbYRsqokJbzG3gAH16nv/AD53dQ+HmhLYxJp8IjgALItsjBpDycEEYxn3425xzmvYvD/7G/xs+JuowaD4C8PeG9WuonMi2lj480eaVgeCVjF5kclTkewrofiD+xf+054T00P4r+AeoQzW8asbyG/gnjfn5lYQyuDlT1Hc/WqfNoTeN7XPiTxR4b0y31KWOw08xBWyBKdxKnBDfQ5z/U1jS6NFFEWC/pjn/Cvp74hfsZ/GbVJYNS0fwppqzXWnR3i26eItPU+TKWwjL9ozHIjI+YmAkQFQ6rlc+Y61+zT8eNHujZT/AAh1+4YA4fT9MkulOOvzQhgfrmuiEnYydjG/Z1+IsvwO+L3h34r2+jDUV0fUUnudMebyheQZ2zQF9rGPzIy6bwpK7twGQK/Rj4LN4K+PNyvjnwhayX1nfNNciIqDNBKSV8qTOdrB3RSc45yCQQT+fdj+zn+0PqkF0NF+AvjKY2kQuLlYPDN3IYISW2u4WP5VOx8McA7G9DXuX7C3jf8Abg/Yw+NsWueD/wBl/wAaa0uoacs2teE7rwpeo17p6XEYM4/ckxhJgiifBVWO09SKJxhJ+8OE6lNe6e5eELG5eG1l2PEp3mKVtThImYEBl75yQCOAcHnpz3uheG7261GBZ5rlZGYH7K6q2eRgNuB+UkdQemOc4ry3wU9jf6jcubqaMs8KwxrfMI3KEqRyuFYh3OCCTk5yACfT/BUS3az22m6bKtpAhBtrhXUgknBYBcBM7skls9Ac5Femjlex2tlp0sUTYRDtcCQLnamcjuMdcjHHfripH0GxuVQWUTuqL5gjhG1lbPDLheGOc/N7keyeGbWa5tYbV0i8yOESGNZmOM/NyQCY8noPmBJHIzWrZW2ob5IrqziVhGPLjfeZX2r8xG4dsD5s9BnGckDtYRXlsrRovJtoruGaT7/mytIQDjIHC7BjIIJ6k9KxDpGlaaJQdQS3VyFeOa1G6NOrE/eLE85G7HqCSCeo1S6sdJ07Y+lPIfOImfcqhFJxnkZ6cdyW55HFZGpeJ3gea48LyLpslwqlnsXk86TBUqgbkcAEHByRkd+Mxo5bUPFZtLuax0fxBMlpcKVjkjtCXk458tvlKg4IYZxhuw4qa0+L3jzTrFtO0zxRrd3axQbWtY7iWVQQ5UbFJ3KUOMY4JUkgqSKxtY1q41aGe6uL9ljlmkCCQKxd9zALGO67wADzkbcZxiuP1fTb+20tmvLGW7V2k8pxAQmxUJUgnAKDar5b+Ek5qXJopHq/hn9tX4qeFpItI1fxld+c+ZlN7qUxt3gWM5Rtm8ozbcBlwcsdwOTjuvDH/BUvXdCWS1uPAF7p0tgzR31zo9nNKsuC5IkWS3HlkDKtksc5YYAK18hanf3ulsJtK1e6jN8jJE8zKVKujKDGyxyIcqrkYdhgH5gQzDLfX9Qub9pJJ9Hv2ivnae1exgVh5aYcFImHyhRnGza21iPvPuj2ki0feWmf8FSPiANcs11rwPpywXUgEcV2rQzMAcpuknMaxjIAL4bI6YOa6Dw5/wAFUPE2n3v9q6hFceWkwlijg8Sz2yrGMgopG/erDGQMsCcAj5q+DtG1TxG9vNcWVvPZklvspsrEsCqICS0ZRSoGQ3zMF246ttzq/ZbiwldI7jTGm81Qwup5UKFowS6nIB+V2UAOQGDZO0DMPle6RSbR+lsv/BWzwB4m06ey1jw14n1qOS3f7bFAYjCYT8jFlkYkgoxRsADLYGCav+G/23v2MvE1nDY3nwg02JrqM2lxHFpNtZNZgDyy7OCZY8KwPmJuHG75TwfzSsTbm7knZbW7ukmLW2nxamCEywy0rZAALBsqCAo4yMjFnTZ9ZEkmk69ptvbNMyK1xbiY7mxyv3ADjaf7vzZ64JOc6GHqv34J/IFKSejP08m+IP7Ak+oJbWkCQSGCIm+vPEUgtZyWKqpdJtiP0cD5Bgg85C103hXwR+yf4l0vS5r7xH4gee6keC2mTW0g8uRGYtEC9u/PzrGQQQcJt+csT+YFhqMdozWmnPpqrgBsu4UKikfvFVi/mDbISQ3fPPJM2neIfEBu2n03xZZqiFfszJIRhc7t0YkLOoBXnIAxgEdjzPLsvbu6aNPa1Etz9R9a/Zg+EusxR2HgT4g3mnsFcSf8JJfx3Pmg48vZ+7tTHtGWA3MWJK7eA1ZviL9hjwTfpGI/F1prl3DGJGe98KloniLLws0U8v3VfPKL905GA2PzvsPiNZW6Rm/VtWimjRbrfdSDzVMqy7N/CgnCklT/AAMFYc57DwJ+2Z470Hwuvh/wx4cgjnidbO3uVZ2u4kC7i5zdBWLFXb7rEsx6DArH+yMBuk16Nle3qdT63h/4J7Wuu28l3e3fgtIi0iIbD7ejxkSKPuwWhOepKk5UAgDIbHL6j/wTu1rULy503wz4LlvFtI2M95pmtIu1goYpsumjk38kBTGMlcKW3Ka8BH7e3xR8E65Bq6eP7jT1ZU823tWkg+0M8aZb/Vqqu4ORwQpYnrkt3Hh/9vH9oW81K2uNcv0a31ixLRalBbhVlMeHMpNwoj3qQ4OcAZYgNlSZeVxXwVZL5v8AUPa90vuOv8R/8E5PGHhR0FzpOsX5eCaTbpGo2d7sWOMyM7m38wR/KDtVyC5wibmK55Hxf+xh4q8C6WPEHjLV7vRNOkdUjn1TRnijDlsBTKzKpyMkdMj6V1Vv/wAFMPiL4mtptD8XeII4pLXUgHuoFDyusSq6PHLvMRYMmWRFVGAfHBC1v+Hv+Clniw2tzpra5pl7eQzD+x59TimhuIk8pVMrp9kKkNJu6hSyOnzOcOqeX4tfBXfzSf6B7Sm94/meM6h+y14zg2Cw8R6VMvkJJIZpHj+8cLgBWJB5wSBkDNZNx+zl8Slje40lNO1MLg7NPvSW+7uI+dFGQAPyPWvsnwp/wUi8B3n2e5tdC8Qy6tJLDayDw+4SK4u1CjKyyvHG8YXcWaQgAHkHHHX3Xxy+DMFs1/rfwhtoFSBLK4kvLbTXlgjjbyd7AGWNljCGMqjN0ClBsDA+rZpBaVIv1X+TC9F9H95+e/8AwoT4rZEn/CDupUEgLcwHJzjjD5Ofbr+Nc1L8PPGO8yXfgPVllibcxk0iVdrA9eV4Pp35r9UdX1r9lD4g+H5LO+vPB9jZJZDzU0KPT7a7SVApVme0G9nBcAojbSxwF521gWHw/wD2MtKlu7e0sor6Y3BW3W71KeSZ7rkEQSteD5sEgK6nAjc4ZVCVL/teL+CLXq1/mHLRfVn5Zat4X0SxvmfX9AaG5kJeSS8hKuV2glzuAIHTn/Gmv4c8H3Ns1reaLA8Cqr/NFgEbQN3y88rgHnpx0r9NYvh1+zB490qzm0LUoprlbhftY0vxZZS7I2cEO4dCIjsZ3GI1J2EEjK1Q179lv4K3ei2OueEPiibezvInVbnU9Rt7iG7l+dUhRtts0jsCSzkjG1wBhQWzlWzGG+Hv6S/4A1TpP7X4f8E/M6Xwl8NpVjgHhLT9tuWCoqf3gScrkDODkD0QHBxWfffC/wCGd4Uu7jwdp0ShVAUQLEhXKgoQo3e+CRk45x0/QvQP2Fvgn4zjN5oGseG9Ukhlklmh0Xwxbzva8EkSpJOhST5mQ5248tyxUMoFHxT/AME8bBdaPhK603wwm7f5cy6j9kMcaSqyO5jUlGaI+YVd8kM4yVQM8rHV4u08NJfcw9lHpNH58P8AB74QXC3Ftc+Fbcg3OC1u6wBAXyApx/dyM5G0AhdmciWH9nP4MFEEmiyLv2H93dDAQYKZPHXkluS3rxX6BaZ/wS28Kyj+2dOufDt5ZPOq28FprerJJJKziN41WWFUL5KlVDNwrnbkc5+rf8Ev9fuZFXTfA2sJDHdywXGoaDrkDRLtyFZ1uAzqhOGLYUheoyuG1jmFO+tKS+X/AASfYy7o+DrT9mv4QxELc6OCrKvm4k5bClGO5y+Mk5JQLkoMFTnO74b/AGefgRYoxuvCH2tP3BgN1duzRlEKYSQneFKBBsLFBgYVSoavsC//AOCd2v6PonnP4X8S+fFua4EN9p05VNjNlYo28yQ4BKoq5ODzkiuK0r9hj4o6paDWNNsvE13ZzTqtuE8BXEUi5IG13aTbuHzNhwmVAOBmtVjsMt7r5Mn2Ur/8E898E+J4fAcwj8H6FpWipFbiG3h06zRIUQ7WI8tAE3FgMu2XJUEsck12V78Vtc8XaZc2uq6ixV7cfabNZQFb+HPIAYFm5CjB4wABim337M/jPT9cXRNNvbV5hcS27LeStFK0sRKuvlhWJIYY68befSorn9nz4mRWjjTra1vo3XZEunu0hbCsxO7YoJCqzZJ+7gnAwTrHH4R6Ka/IPZzXQpaXreieHYDE/hfT2RZN0cEVujybiAhZge/C5wCc5JzzWR4z8X+F/EI0m61/4H+D7fQrNrq48Y317ZwS3c205txEXiaNIl25ldxvKlgPLOGTXh+CvxUsbeZdM8EuBAhZmXUrZyEwehEm0j7xyOgU5rxr9uPVNX8D/sz+LB428M30EKeHrkjKFot0jeTbs8inywpneNT85HDKCSMVt7WjOPuyX4Exg+ZXRB8c/Hv7L2h+D5h8Kf2evBF3/ZsEN40+saVa648mziMAvfQK42pHmORJhjnYxYY+cfiJ8f8A4yfEKM+H/HXxOvL/AE6Nj5OkWJS105CsrHclrbhIVJY7shOpr5t8A/Hfxj4Wml8Ja+0mmaVKTFqFiDN5TEoxT5CSd2V3A8n6gKArfE/xz8QZRafD3RhaRxrmS4uXj83aVJGA7qM8dMnPPTAzxezqTi+bc6pSpwatsfW3wu1mzllttZkso7y5lkKQTm53R7yrB9o2mWEjgMQqLhUGMYB9MsPEaaddCSxubt108LFdRIZlZ2kK4Xymyu0FjhiA2SNvGBXkHhm7afQBr3hPQJYAsMjNaQIJjPuK/vYnYgFjghlYDnkL1B77wVqrW8EQbSPNeABYDH8qqGz1dACxD4yMAAqVJA4r6JHmHpumatqWlaZHf2WlWrAvKx+0y4tgXdyr5Me4kkFuc4IPqKkXxPJeRxS3QRY3tpGVWaSaORhj95HI4BzkYAICnk5PIHNeENZltEPkafbzuSxNwN8Ee8DlgpAIPBUOpwSykbgM1r6z4kuH00ta6orTtERIkLZSMbjuUsQ+DtGeQBk4yDTYmS2viJBMUtbwol1Oux7e2YRyKwB5Khge3sGBGelM8T+N9Rt9RSCwvo53MrWyXTiItbqUYuzqQc7h0BbJJXjkmsm+8QnxFDb6fPbXHkptWb7NDIIAMK6nEJIbPbc2MsCR2rnxd6npuqT3OlWySxSsIYZGmLW5JG0vxwzq3bH8ZGDwKye5V76DtX1rUredNF1y4jtri1hIU20alLWL5nIZST5LM7Y4wNzNhmGVPJal4h8S3UIaXXVtsxMtvLHIpVoxtRSXkU8FAAcAgdQMVcski1G+i0a3gMsTnz/NeFo2jmG53IXerBiUXA6ctkYJqreeHb7TpLgadG7SXoleSK3UOSBnezjYu8jOfMxyD/fXIh3ZV0c9qEniA2UVhMum2sMsE88Auy2zltkhUQoSQEd2GRxu24x8orKk9xq503XPD4sHnmZLlWIIkVcIqCKR1fepaReCOoYBGylSzaLr2h+Tea/euLKWdluLS3vA8hjzg7gSOpC/LnnPzEZGa+pWNp4K1G9lezS4d5ApuEWGQ8/KzJGygqBvGSpAIIYkgbWi2hSZE9t4CsoTPYaDDhHkZFsreNBAN67ty+YyyEgthX5wMFiBuraOvB55BokEKSNIskVpHNbSfMCAhgWMKq8ZyDjAJ6kEGDQ72O5iu5bzwxepBosvlhPtFvBFbTNGSQS5TYSDuUB3UnAA5AK2Oq+F7T7RqFjbWpS+uDNI3mxo1vI53D5iwSJd2ACCe46Z3TyuxXqdXp2v3PiyGSC2vdSeWG4jaW0vJJAjTqSJGG9mEbEE4LA5+bIAHMGpeDNU8SazcagmuWXlcEm5t4VlDEfKg5RzyFyNxIyQc4+bHufFes3d3J4fk8P7Gto5Pss89280hQmQERrbFQDuVv4znc21s5rn7b4q3GrTteRfDjXp7mK6d459N09rqDYFARSxlJYdcsEG7dwAQCU2luB6jF4J1DSgNTiurVYor3cxa0ikJkZwC6nJJz5YIXcwBOBkkE1tburS28TW8o1e6gurdVmMUV4yyuBGpZpI9iLId25/LGMrg89T56+teEr3Uo9L8Wal4q8LWcyt9kutQtLm2VmUEZYBNxcJ5WWBfBC/KVJNQeKvj34Tt3GneFvFfiO+t72GGWVtZv0Equ0e2aF2S3Vs/fUdVcGMkDaCM+eJSTPW76/vNF0u0utPh+1rdyI8d3eNFtSLozxEtkLlcHBIUggsM83tE8Sa9r2lw6Te6hKBbnetpLE6RyOVBZgFfyyFEaDkjJUfKeAfG5Pj9Bc+ErNj4C1K4t7eaNReTJcQo7+Ysjx74ZUyMRyRqzEsI5ZCMFYjExv2ldc13VZPDfg74aW32nVPIh06y0ixlaWJAwJjt41lYZbByxV5GO47wxJo9pHuVyOx7hqB07TNYFpqWoxG7iZoptibH8xXAYEyhZcoflCn+IDI5JDtQj1O+MOk+H9NLTXGZ2ukmjfMGIwjsAww2cq3XG4qTwK8PX4zXOqyxl7fVL/XpJFtZ9Ht9fubaaFshArRtbqSTtwQsjkMw6Dg99pdx4/03RLy70TwV4itlvS8OnSand21jLcyQl422JPcFwqESo0cYkAkR13bkKg509hONtzbi1L4kRWF1Pp3gvQWjtZQpvL+5ZQY+QQVXd2ywUtnBGPlBr03wJ4b8V/2dYeHdIsdBsrfWViswI7iOzinZX3vMqTyiUKoAmc9gsh+URlU+VNE+JnibV/GFl4I+M3gTXPENibsldG0TXRY3964326Q2jLDNFJuuGj3YgnYmIqpXLks+IHgf4r/AAX1S3S91zRrm90GAwW9zaBpDCRKVYypPAsljJHJMy/6SIXUKjouNjtDqpFKF9Ln1r4g0T4peE9EuviTpWtSS6PaeIGsdQ1+2ilhtZpJRlrdriRVQS5kgcRl97HLZO5mHNWmteJ/Enjix8OzWFvqM9/PFBpFloixXUkj3MrxW8McaMZJmlkGUCh96yBlyGr5wuvjZ8X/AARqGv8Aw/0/xK3lPePbadf6PqF/HLa5ma5Q2QaSGRYZGHzLOrGMXDExRyE1z/gNfiBqOp6Ve+AvEegxavqqwwx2t7c2lwzSXFxcW5lmku8xWgDRjdJI6KscsbllD5L9qraB7O3U+ptTufFekRLqeiyS2iWsSzz+Ws8d1HDJEvmzb9iOsKqWy7YTByQuGA7LQvBieKvC9z4o1PxAsNpb2lzc3VzceJ7EQlYnEKb5bi4GJGYvtgVXm2oWWIo4kHxzN4o17XvElv43+J/xFks4Le1E+mGSV9OurkkM9th7S3m2P5rK6s0TAoPvxboCdn4c/EDTvDfjM+C7DxpdSaLe6MYNcvku5hFrVtGJLv7PFLc2Uos38qRbMF4hFE0Qmk3LnB7Zdg5G+p9E6LJ8StXsrfU/B/2xLR5mRbnTmjmhkbz5YyoKFvLctCyhflkfyy4Vkdct8Q/EbW/D0WnaxeaFLrGoeXGYJ1lt408kqFyNzqOTJGA+PkYtnDOS3yV4s8c+MPDyL4Ki1WO+/s6W9BhtNQS8tYizSJK4a3YxMu3bIpjkkiKng4aUFl3+0ZquqeLB4w8Ywx6ldXEu2ayN1M+yGIKqI3m+asqZ2kNkyAwlmb+J0q0dg9mz61tv+CiHxz8C+Dv7CT4p+INE0OTWHfT9E0O/j8q24PCi2uizHMjEq8jM7t5p5Clb3g39rb4p+F9cfxT4S+IUtzrt200d3pl/GLxpfOwrmWL96rOyz7BuBYFiuDyo+dfBP7THw+8Vz2vh/wCJttd26FfNt9d0u1WTUbZcS/u2KsBcbtyKFEZ2BY+QBIp9A8RfHP8AZl0SWLXvCnxJeaBtXNnFdxaZdh9PTBYyEzwMjKdoXyg28qBnJYlKjNy6itNdD6Gb9oD9pSy8IjSvGHxY1rStKe5lg/suXWrwPZmJV3iJADLbbS4QMQmWPBJjzHo+Df2gPGngbxjD4sT45Lc3dtcR2f2/UIr9zFabEOHlZUuHiLkfJkHiM4fqvyd8Tf2nfA+t3cyWfja2vW05Dfw3lxPcRJOUkKCxt3gtWBJjbcd6rEEVlEm5V8zz7xD+0b4f1nSruGDwVNZXMjsson1qRIkDmZhEkUHlDauVw5ViHVd5OSarnS6itLqfqZ4Z/b0+Jel+MdPk0e5sdeu21GVbe2bS5t/2Z4w4aKRphNbvKW3OGfYEJH7xQY1y/Fv/AAWL+HOlfEG11Dx7Z3EVvpNu0sNnOZpY0AKJHFCfscqAArFIZCerDaFIXb+XPw5+Nvh3wLriatc/DHwvrVpBaXP2TR9euLxDLJIw8tJ5rWaGVzGN5GHjDBTvY/IG6xf2sPG8+o2mpPoqXuk2/iEzCHT1uPJmXEO2xt5ZzKIRGMlGZHcF8yGUbRUylGSGrpn3l8Uf+CweqeBBcaxoXhjQ59NhvUj0rUY7aWa7jRg7h4zdyxs8P7pyqNbRiNGClYyUBydI/wCDgv8Aa18U+HrXxrH/AGbBp+pahdQ6TcTS3kFuwiSHzA0qW6rIyefEWCyb0FxHudQQT8C618Rfjs1pquueMPiDqFtpOqag8Oo6Jp+tx2tzcLsDsqhzKyRhSFBkDIwDDkBjV/w6LPxB4TbX/hXLLot3Z30c+u3mpfEewtpGmi3ss1tZhYZw6Kxw6eYD5jhdm7YM/cctF+BXM0j7Q1j/AIKf+JZreOO00fwbpWpTawZBq8NjpcFpMXXidGCtI8YAcElGBLBSPmw3mn7avxc0f9pf9lTxX4N8b6r4VttS0/Q5dTtIdG0e1vQtxFIJXSCEwwGOZjGQxBL4l3EEHmT4ZfBDWde8LmLx98KoJNKtdSku4RqGi+Jtdnu7vygZDu0uBYRDMW8xhI3mF5H3MQAB6L4o/Y5+HHi/wR410nwV8PLjSX8XaKYdEtfEOhC0NmiTjEsTyF5LLe8YbyZCSEjjZWxtlpqlC90tRc7Px40nT/iEfEMMGqadIzrBZtbRa74daUNbmEPA3lSI8ewxNGVY8FHVlJDMa+2f2bvhbo+jxTaddfGs6Nq9tYS3t6dB8L6famOEoA87O8MhQYBVyfLyFwWPArs/Av8AwS31qK+j8HaD8Wtf0g3Cqmp6xoVvYXNraP5MiMJFGpLLPGRI8TZiTIkZdpV3r7LPwlvrBtVvdQ+LHizXJtXRF1L7bPZWUlwipsjjkubKyjncKuQCzucdSQAKqKclqZu19D80vDGu63pEOkWGu2i6VZCOS0umv7IxQszD5ZI0UecI95yUYunOQY85r07w74vl1jVLzR9A0I3FxZpBKLKe68uNyztvZRF5jLuAyRKAwJ5BxgeQfC7WPCvgazEXhs27PdXYkltoJp5HQyKOR+7Z8H5ieGVixGQCSPS/BukIuuW+r6tFEjKJY0W2ij3DzASHwjRsZGB+cOSSRjPTPpxuYPU9AsNTt9R0q2FzHvv2+TYjsxQglzGGCcjPyjb97Gcjvq3Oo6LpNtBemJ7d5JGmhS4uEYYPBXLDaCDjnKgdBkmmeDPDHhuxWbXSjRRCfKm3EvmyPwpEkaorEDtlnznr6vlj0nRpprW18QvbCODizmtXDNgHbtaVMqPu9M5x1OTlskqz3Ooamk1/punMZtgdYHndicHcG2jIbGQMk8DPI5FYGorquiG7g1GG9gNyEmjghsDFCGJPR2IRN245PBJBzk5zu6zqGr22l/aF1CzmsCiRyxNaiUuCeMgMSCfl5Jxx0PNcHrE2mWNnDqemasJ4p9QP2jTxJAIpSuSUyjIA6KSAXVuTj1rN7jRW8VeL5fB968q3cTsyFh9muxvG/ksFjibaOhK5APDHHIrnbufxDoWq3mrajp2o2AguJLeeO4sbkHzEVVZZIxIpLZYKVJBG5SQM4o8V3Ot65qKaJC8VxDPE8kumXWY0twPMOyLIClwrMeGOCx/2ieZgin1W3k1PTNRMDzOI70ZO2VI1HzsEUhsAgDOQSjYxwTDZa01NrUPGYtZYIbeSRL7VW8qKbTNIt7cRxupZy0kjxywuJIwCjbAw6Fs84L+Hr2KO5vNN8aQRa9dlY7RNW1fT545JHUqYBbszDeSACwck71CowGQ3RPiZ438OXa6jq+rywW6QF4i80dstnbtIYCD++2xOWBOxljLKN2GLjdb13xr4DtfDyatBqZ8SWd9cRQf2Xr2s7HuQY5BIIxBIsc0PmKmULIxBUKoG5xGjQ9EjkPCg0/XLS7174g63cxaraxTLbwya2iQl18uKGSMgypIA7TeZGyDKBNkhDM0fpvh/wxfwtZ+Kfh7ptyYp4XknB1SNQZtzEuIS8MPlhRbzllj5yVDlx8vK6J4wfxH4XRvg3dX+lLYN89jaXk9pbqAn+sWMeaBITGAcSRSgRgbcDA3vjX8Ttc8f6lu8FeI/jD4yllfy5fEHiJ7/AM8OkhjgB3cjfbiIlCsiRlxHtlEQneNOpV29jM+K2l6jp00eteEtE1RpVVbLUrcPYFHmeR5INsImnkRAWQlZhk7XO9RIirP4U1Tx94Z1A22mvY20UV1bNdabqtrbQS3j5DPGJ4YkZMD5JApDMS21icPWb8W/hR491MWes6fappq6xKjyR6l4qknispEBaOWeFdOt/IAMsirK4Kgs3z/MCcPUPg5+1NBcDwHFrOqauqFUhsrC3vH06XAyxN1KI7cgjLKyyNuOcEMRUtq+hScb7np/hLU/jH4i1HVvBcPh+/ijhWRjrWr66YoI7oOqgJcApHJE2x41B3L+8JJUlnFvX7XQPD2tS+HPiZ4j1Pwf4puZLaS4s9bN/LItncxxSTvDFa2cKxiUtJIkaomxGhQSNtZ60/GngjRr7QrIfF3TPGF/qzxA3t6jXMcbqbYNEksk66o8zxTMyFgYkCu+3IClvGlsfEF7rQi+FHxN0+wubid4JNLvNbGmXEbOSnzXEsNrbpGFO0Jv2AFuAG2iZO3/AAxS3O81fxDpGn6QbbSNV06/txqM93dPH4vF3Z7HDBYYLS7aG6RUDgt5jyEtGpyoZg2LonxA1WBr7w3rGpWdxFpc+I9b8Qx3l2luI5YJX+12yNOhJEEkDQyxPGVllBLAEmaP4aePruy0/VtC8e+Gte8Qzsws7GXx7AdYsZ5CcyRJDd+XK38alMlyATH95a4i3+Jd/wCJdXvbL41eP/EWuW9jHLGbW409tWYMFZVV3nuImt13YPyEEY4x2yd2y/Qg+H+t2Wn60bP+17STSV1aG7vzDJ9nNxJbtOqC3uXh3229JWALbQWKFxmNCuhP8cvE99dwQ+JtbfVLFIl83Rb2/nktrlF+QQyBJwQpCn543VzuDhg+CKfw/wDDuk/FTw1rGpXnjy80GztL+UaLpUWjXl3Yx+cQ3l5ikmmiBCbSxjlBCgMxIBrlPGlpb+Fre2sj4ssdRjhuJBBLa2s6OGbYSp82KOQr0IUrgfNwCxzlNzWiLhKLOz8ZfE/w54huo77SPCdp4Y0l4k87w/p95fz2IuQdrTwrPK8ilo8Ah5WOVchkUxouFY6rf+J7+SK11OE3V3eRiNr24ggUFlbLNPM42AHbySQerFTtzzvh7w/4m8YXr6Np15p9ts+YjU9YtLGPGc8PcyInYfpS69osuizXUNz4lsrm8tz/AKVDaXX2qNtwGNk8W+NuS275gvGAT0qXzsa5bnWeMp/GXhrVbO11zU9JmgtrqdrHTLHxbaXNtbeex3rH5c7+WjZGSrZPGW71jaQfHWozXLeCNN1NpIbWRbj+ydxkSAoscjyLCB8rI+Gcj5snOS2a1/BvhbW7S7svCfiDwJpMNrqkaanHqPi6/l0tRaybY3a1M97awTcqCnzEyNGoLABlXB8T6YPCsMml3KaTcXdrdySJqWnavbXbywFQFBaC6liG084ReN5y5GKLMLpbGfJqIsYjZm6aSFCSNsrsiZG3cob5uwwcDGB6U69XWdKvzp2raXdWsjBGkhummgKqFRoiYW4JKEkMACRITk7gaisdD8TTajPbW8YtbmzhM72+oXEKFwoViuyYjzGbIKxKGZ8EANyK2rJpNV8N2/hnRtW0vNna+dexarounabdNKrMzRJeZMlwoBGBLKrkYUJwBStJqzHfXQx7jV5GcW8beWgXBVVPzAkHnBwcEZ/r0qOE2stpc3F7eXESeWfJkihyN+c8ksPp0JwScU+7S1kYPbzNG7W7TXFu8ZCxOHb5ImDN5gEYVtzbcfOOdoLR2FjYa/rUWkXeuWmjWc8uftWqxyyRwL0DM0MLyNjPRE5POBwalR11B3SG3lp4oe1OrS2WrIstt5jXrI5WSPzAm8OFxsyypkn73y56Ct/WLv4ZaPpynwbe32vTbt8ker6MLAx4ABGYb2QdSTnrkDtkVlEeDtP8MyQp4quW1iyv5DZQ2ugwGznQ4BZrmSRJtp2IRG0LL8zcAs27qP8AhJ7P4yJaeEtC+GtzF4jTSGWC68IaMj3t7OiuzxRwWf2aOC3dcs7mKedcOTI6ERppFK5EvhuzH8O/FXXvD3iaHxX4UWwt5NOBaP7RaHUYJFLBCDBdb42HzZAcAZUc7gprQim0bVfF2j6sgm1G11FI7jV7a/tYNEty4UmaK0aKZofLXDBHKqWYKDCCSh6G18T6F4Y1/R7jx18PNC1PWIbK4tY9B1TRLWxj03UYpCFW6isG8+YrIke6G5h3OGdOm6Rul8ExeI/jZd6RF8OPFXgBNTcWmm6rYa54S0LSXe5nBWTZb5Z9Stlyq+UirKzeUVtwwXbso9DPW10ZnhDwbb+GfB+u+PtY8Mz2mhQ6ndadHNr2rW1wokFvK8unoh0+UrdvGhdLyNEhTG0sJNpWbw/8MJ/HniC2T4jahqPho/2dZvp6aL4Y06C4ubHy8QzRWz3VkLmRym7cC8rqRKTJuDn0X+1PgdrNr4P0P4eeDLS5lsLm7s7211DSNAvLnVbe1lAK20Ez2lw9zcEJj7VardTeaWhCndFLMbrwf8IfCGteNtC8B6j4N8Zm+L6Lri6rc+HdW0+a4QJLNFYW8F24tnjDxeXNdmJlDeWIPtLAvlixLex5d4r+B3xc8O+MofhzF4ONyJkS5s7e3zcztb8qlzNBaPcyRO4YEoTtBYhRhSBc074Pan4X+JVj4W1u4t7G8sp/Pvkv7MpLBChz+9h1YWsEm4lQsMhUkbQR1Fe6fC7wIvxF+GOjeHtMsNI8UR6NotvFY6h4g1u0Waza4a6fYpWO/urO2glimfcr2kfmCRkVWZizvHf7PvwGuPG3hPWPBXx0+Hll4x02K3vtS1bUVeaZ5Vmj8y4t1S4FqcMV8m1EQchQXlckyBqPvBfWzO//AGTPCP7Nmo2ms+I/iH4H07xHrE9wIJNT8MeGtY1CKKV1BkDxQadFa2pV1yGhAIDsqkDO76k8G+CtC8O31xPp/wAP9C06Flzb3Gm2a200xaNRvkj8hWjORnBdzwPm6AeIfBX4kveQWaweI9E0uSK0dfEvi7X9O0211bV5X2nykt4JgLF0QPxdJIwBhDRth2b134b/ABMtvH1nNdaG73Nla3Lwrqs95Yy/bcYIaP7CzJgZIO8RtkcKQc1pGJLOr0DRbLQEkTT1vsSSbm+16pPcrnpx5sjbR6AYHJ9TS3ulPcSNNNrE4SSB45LdEjVDnHzE7d2cAgc4wTxzwxtVhst017LEV8tvvHAHB+bg9s59MjnI4rMvPHNhCdkUsfyuvnSXMxgjRMjLtIUKqoGSXPyqFYsVCkitgWp+RHhPVvC3ifVLfQwgmnNuvlGEeXdWnQmOSeXyzIvVcoAdgHLYr2H4aaa6w3O3RdHuL2yuHYpFPJO9xIfn2CNFAQISqk4GB1yDXi/ha/g1y2gv447DT70uqw6hfSSXcqrtPmsUQMzM/wC7w3RVRhtJfI9/+Bej+GH8MS6qBe2Gteeos1i0ppIHQh9zF5nWRCOMJ5Ths9VxmuyOpgzutBsrzU4ZNR13SptLmcpthWBIYFVRj5XA3ryCR8+47xjGTizqy2+kSWk+oaxIhjwZI4b4lbjJIICTOeBx/EOSOtVbQN4qtJvDEuqPfC1YRJNBKIHVyQxR2RVkgclgSqAg/RiKm8S3WjKraNrfh2C6MK7QlxAJI42OM4JjwTx35zirZC1MfVL6XUbi51vQILIaaqOFnutQ86SORSysFiUuqgAHoy8tz93ngtW1PSLbXPt+meLtLlkZcGSwmltgI3i5QrHjeSPkIG0EuSTjOen8TeGraGJNT0zQ/wC0LuOFm8i/vJIAiDjChQGA4IyuQcjoK4DUbnwvdau1hfvpAn3FprHUoJJoHbAJAebbKjbV+UoAenJ61m9ylrsZ/jmzgt9Gt9WTw1ps8eoXEkR0y+tVkkklAUib92UaPc7Aq7OeVZeVyDyF5d6jZ6tc2k3iBoS0TwtZ2c9vLBJIVjdSs0BcSPtxgqwUYYFAQBV7xTHout3t3o2m6q1ktpAws7FlnEkjMSDtkaR3iXB42hyTzlMVi+F/FPhDStaQeIPhrLdabe2jpc3MupXFlf8A2nBAhjkKmMlX/fKZIpB+8YOSTkZsuNyr8WLufWdZht7TwpcWdpfqPJj8Lrg6YrZ8sRojSyOiKwYszSSnA3hiGFeeeMvFPiS1u9J8MXnxF17+zVj33r6+7tBFMA2WO63BZcIANyls8YPNeu63ZeIvFV3eap4s8O21gGtYZns4rqTT7eMrEognaG1RIsGOVG8wgs5ldmOX3nz3xV4pF3qc9lc6l4W1qLS7sSxxJNaSNFEkYUgma5DPjLKkYjAZ/KGc7dudildM0z8WvHpsY9G1ZdOTRXf/AEdYvB1skN3FGqR7ka9SJiCIwuV2MAoUbQuD1o8feGJNEuh8NdZk0+GOGINYXGoWscZkIwTHGNXjbO/d90MMAHC8gcf4a8c+IbHUbOzvfF11ZaO8jXX/AAj1t4qNlOGdV3O8jC2aIMsYYI0jKGcnOXIPoPw3+J/jHTPEsvjDwtpV83h2aJkW5ubiHX7zbzHNvmt52eFiDwrA5STDFlIZ52G0cvPZ+Jbiwu9S8bQ6HriRzsjNP4y8g+bIUZS0jXclrDGSo/1bliVAOMcT+EPDnhq48YwW+k/GmO1nv4zDD4dstRECq7Lz5VzbvqSHaSWVpDuyBggqALlle2Vr42OvfAnx1oOmgq0k51fxpFb2sbLkus1h5av5hZchYxIvIG7JON3WPitqfjTV7bX9S0M+NPs8Mon8I+Cdbvb3S5GOcSXGnXtlIkK8jDR4O47kUYO1NWGnZf1/X4mVrHxdOo+L7nW9R+N9/PcaXci0hu/iD4s8Rai8d4qEGa1ktbG3khdVLx7ZgSASNu3mrXhvw5rWs+J38RfHbXPGIsfEkCiy8RaVqy6fDMM7hE11qskcYiJCt5cihiY1IYAc6/g/VfDNtqF/pGhX9l8Mb2aJpZdL1o3+jW7TqFPlTyW2tLLGeeGMCqRkccCvMfGNla6j4/GhXOi6BLc312sdpqHhPWrnXPtLM2CSJNRd9xBbaGXLMMYGciGu5pq9g8X6Ivw4v38M/Cr4q6rNPrOoIj6ZY3tmsL22X8qS4ubK9lhYg4BRgAoLMdo4N2+/Zv1y7sk8U+K/E17pttEkk93c+JdCu4YXCKWcQ3MC3EMgOG2EfewNqksFpuk6H8YfCXwrvfDN741srHRNM19Lm70DW/DdyzWuoAp+7lklsmgikKYzG06o2VDHHXpfB3jj4U+K7e98Ka1omh61qrIY7VY/hullc3DKpTy7afSpJkyjMZFkeCRXwNxKhQMuVJ6lKTtq/wDM4f4gXXwJ0wWd78Pp47rUdwd5LbU7i7tYdoGFkgvtOt+CcZJd1ABypHB1/iNoHiq61qyPxLsvCPg21vtKkutFvbTSYRZ3UTNkYbTopi7bDt/2do3Hdkt1emfCj/hKY10HxHffF/TtBsrd30zSdR0m8+xwztwQtwkMu1MHlxaJkdcda5PxjYaFp/w1l8OWvg6ysruGU/aNVvPG+j6jPLOWUHMcdqbw4QBBHGyou0OVBMhZSi+gKVzh9X0jwprGopbfDLStWaRwY3gkK3onUbT5iOkML53bjjYeMdSSo3fjh4W0rwHcaL4WHgmfT79dLhnvL2Wz1C3N2zFizNFfIrAqTt3RDyyF4ySawIvG9v4+vIYfit488R29rp9rHDpMVrA2oYxwwCz3SiLOAfkyMkgKBXorWPw98BfDu+03xv8AD7XdSt7W/FismoeD4NBvNPvH+fi9S4mnkIX5mikhkVRtxtz808qa0Ls073Ob+FdgPCmqN4l8c22p6P8Aa7N/7KudQ8I2OoWtxg/vv3epSxREgKQNpJ3HAAxtbYstI8HeAtHNrJpfhQ3F7Gl74d1Hx7o+rwXt8sm4I0UNvLLYGIOu0PMWjO3LFlDY7O78VfGjSNBh8IJpUz+BWjZ/7Vg8O3dnbaTp7kMSbkWEccxdR+8mltJACxdcF2Iz/DfhrVXg1D4gfCH4v3Uuj6BEFkjh1y0ltILuRXVEuTfiwEUTsVVNsEgYb9rbkKrUY3WhPNfU5n42fClfhD4H0yy1jwmIdQ1C+Fy3iVRHKpypb7Is1tqE1sUOQR/o8UpwOVAOTRfgrpPxN0Cf4paTqbaXpVtKVvLK5067kS0tYhGObu1tDE8h3MDiIlQS7Z+Y1fuviLaJaaz4dh8eWXhU3E1lJrA0G6uLlrySICXECQz3EDSLIcK63FupAZNqhiBT8Y6NB4uln17w3f6d9o8MWjzzS6JoVzDJqIt1hWSdEsTdWEfl4TNwjRBi4Z+WDEaje4O63N3R9I+A17Z3fiH4g+Jda8U+J9L3XOo6TLFcag+oW8IVBHFd206IkCxqJWlflI1YKBtUHC8V6l8MfAvgnWdK+H/xHlFlrVstrerb+Tqf28o4dI3a6gsLi2jBCt8sTqxQHJKlV7ZBL8R5UePV4TaxWcjXWuaX42vbq9XTlg8t3ubn/SZLaNjcSeeHsbaEbFwyqQK858V+MfE7anovw51vUHvNL0XU2isdbm1abU4pbWOV4V8lLuaOynijHC4iiVtnJUEtQ0k9QXxf5nKTWXjPwTq2neJNds0+13lul3po8Q6QJftMRjGyXyZ42SWJ/uoxDK2OOhx6ZB4k+Hfw88L3WifFbxN4f8SHU9TXVX0Dw7Yag9tZXTWyqBLDb3mnWyOFcodiyOhDqGUfKbF1p3xK1nx9/wALh8ZmPVtGt7qC1htvF+q2+pWN7bOyebbW1+LV9NtWGZgMNCYcbIwzLg2/F1rq/jW7uvDlpoEnjy/m1+AnXtFtbvXJPDkEkbBBHrC3VsbiaMvuW3cfZvkjbzAS6qW5dSXzLVkF14j1Kz0aXUNI8OrHb3NiJo7LUJtK8IW+oaZNx9nnsoJhd6hAFQGJzdZYtnaf3nmR3NzY+JNBh8f6d4s0rQ9B0zT0sbiP4f8AgCSeeykmWNDFPczQWueGGTLdytvIwz7y1dl4AsPhP8HTF4lsdZsdPEGmxPqVy/juz0xdQMbNGAosJdSvyS8jPIsEsULGFQYiEArC8WftJ6v8M/Ft3pfw/wDCb6R4putUjl1PUvFnh2a21exLeWY0hmvtQvDiVJG3iRFQrJnDAqVtJoTvfY1rjxb8MLfVIdP+HWseINc1LVL2fUI7DwVp9u+oaik9tFttLu/ECCCOGSJ5jaw2ssHJ3byqSR934C+F3xGfxDpMfiXwB8C9J16wsHi1Hw9q98kV/d24g4lmjt0ltI1LSAh4o0uSITukG5nbH+DMdl8TPAvjL4ca78T9T8WPr2p3WqeK9S8IadjS9DYyNI7Ty3RtrdIzIrT4tEiYAP8AvLhECBfhvqtzo1lqeizfCzxFJ4WDfZn8UeIPjYbXRTbyrIBbLJboIL2IyCVWVEl/eOySgZZRSFd2OztI/wCwvANz4L1X4d6HrVtrdhexeGIb2/tIIrR7gyK8um3d/rF5Hb5LPI32SLJlWJZQpEYrs/hjpnx+8IzWWiaLpmg+EdXtZIdDGva1qq6le6lYhpZvs0ckduYRuWIujiIECNAyOzM7c1of7M3hnUI9J1X4W/FpfD6+JIllltPh78QWt4r+5iGy4bbHC8NywZCS0cNtHFgr5ACsT2aeGPB/wp8WX3w2n/aB+JGt+INW8O3Nxpnhy1vZ7mWOGU7XnjZo5FhlLptE0siqhJwyAlqdu6Btvr/X6HpWv/DjxHceFbrV7nxTqer65JdR3Goaj/askcjQRHf9gR7a1T/RywZtqxqxEz4H7yQHovDvh7wVJKlzDfXklzDLG17a2Os3SWkc8crkwII2iUpE6tCYii4CrvQEnPlHh34heGPHNzrVh4P0+XwdrMd81t4ji0+3sbpdSlm+Um+n024kuoJV8tyJXmt2LszF5ArKPTfCFwZrG21K30fV9PbTonsra21LVzcmaP5B5jt50gnY7BiaVjN9/J+dt1oh3Tsbeq6JPqmtx6pJr1zMsU3neVfwrPDG6KwVtm0KpGTllwwycsR0Wy0q8vNPuLXxBdQ6j9suEku4rh7pIpZFUKAqSTSiNPlB2DCE/Nyx3VkaR4d8HeDdRu7zTNMd59Vn36nqUszTTzHLFFlllYyOg3bEXLBAdqhVq1rl5qs2myjSJrS3lG0RxXtsZFOD3CsPUnqDgeuBScUxqTR//9k=)![443.jpg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)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "iOurYdL_g7gQ"
      },
      "source": [
        "### **1. Preparation**\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "JTlLG_bcoO6b"
      },
      "source": [
        "**Check Python version.**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ARv-s-txf3uD"
      },
      "source": [
        "!python -V"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "JFaC1Lhpi7aa"
      },
      "source": [
        "**Check Cuda version.**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "E12NYxEGi6vl"
      },
      "source": [
        "!nvcc -V"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "r3U1uvTKjDGp"
      },
      "source": [
        "from google.colab import drive\n",
        "drive.mount(\"/content/drive\")"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8OiXRehTkz0G"
      },
      "source": [
        "pip install torch torchvision"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "aDyP8vkmr4Np"
      },
      "source": [
        "pip install opencv-python"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "vwsnNKtmnRht"
      },
      "source": [
        "# Check if runtime uses GPU\n",
        "import torch\n",
        "\n",
        "gpu_name = torch.cuda.get_device_name(0)\n",
        "print(\"Using GPU\", gpu_name)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Mt2ZHvVSzBTz"
      },
      "source": [
        "from os import path, chdir, getcwd, mkdir\n",
        "projectDirectory = \"/content/drive/My Drive/SceneRecognition\"\n",
        "chdir(projectDirectory)\n",
        "\n",
        "!wget --load-cookies /tmp/cookies.txt \"https://docs.google.com/uc?export=download&confirm=$(wget --quiet --save-cookies /tmp/cookies.txt --keep-session-cookies --no-check-certificate 'https://docs.google.com/uc?export=download&id=1cEwFq4reck3Fu8eAOX2_cFVyDednFui1' -O- | sed -rn 's/.*confirm=([0-9A-Za-z_]+).*/\\1\\n/p')&id=1cEwFq4reck3Fu8eAOX2_cFVyDednFui1\" -O data.zip "
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HMxTUJoRzUCp"
      },
      "source": [
        "!unzip data.zip\n"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-9jxE3qrKry5"
      },
      "source": [
        "projectDirectory = \"/content/drive/My Drive/SceneRecognition\"\n",
        "chdir(projectDirectory)\n",
        "!rm data.zip # to save spacee NVIDIA® Tesla® K80 Accelerator dramatically lowers data center costs by delivering exceptional performance with fewer, more powerful servers. It's engineered to boost throughput in real-world applications by 5-10x, while also saving customers up to 50% for an accelerated data center compared to a CPU-only "
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "8IuFnr26nSg8"
      },
      "source": [
        "### **ResNet50 Transfer Learning Model**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "cmad9fCqnaZk"
      },
      "source": [
        "import torch.nn as nn\n",
        "from torchvision import models\n",
        "import torch.nn.functional as F\n",
        "\n",
        "\n",
        "class Flatten(nn.Module):\n",
        "    def forward(self, x):\n",
        "        return x.view(x.size(0), -1)\n",
        "\n",
        "\n",
        "class MyModel(nn.Module):\n",
        "    def __init__(self):\n",
        "        super(MyModel, self).__init__()\n",
        "\n",
        "        # self.cnn = nn.Sequential(\n",
        "        #     nn.Conv2d(3, 32, 3, stride=2), nn.ReLU(),\n",
        "        #     nn.Conv2d(32, 32, 3, stride=2), nn.ReLU(),\n",
        "        #     nn.Conv2d(32, 32, 3, stride=2), nn.ReLU(),\n",
        "        #     nn.Conv2d(32, 64, 3, stride=2), nn.ReLU(),\n",
        "        #     nn.Conv2d(64, 64, 3, stride=2), nn.ReLU(),\n",
        "        #     nn.Conv2d(64, 64, 3, stride=1), nn.ReLU(),\n",
        "        #     Flatten())\n",
        "        self.cnn = models.resnet50(pretrained = True)\n",
        "        for name, param in self.cnn.named_parameters():\n",
        "          if(\"bn\" not in name):\n",
        "            param.requires_grad = False\n",
        "\n",
        "        unfreeze_layers = [self.cnn.layer3, self.cnn.layer4]\n",
        "        for layer in unfreeze_layers:\n",
        "          for param in layer.parameters():\n",
        "            param.requires_grad = True\n",
        "        # for param in self.cnn.parameters():\n",
        "        #     param.requires_grad = False\n",
        "\n",
        "        nLinearFeatures = self.cnn.fc.in_features\n",
        "\n",
        "        self.cnn.fc = nn.Sequential(\n",
        "            nn.Linear(nLinearFeatures, 1024), nn.ReLU(), nn.Dropout(0.2),\n",
        "            nn.Linear(1024, 512), nn.ReLU(), nn.Dropout(0.2),\n",
        "            nn.Linear(512, 25))\n",
        "\n",
        "        # self.fc = nn.Sequential(\n",
        "        #     nn.Linear(1792, 1024), nn.ReLU(),\n",
        "        #     nn.Linear(1024, 512), nn.ReLU(),\n",
        "        #     nn.Linear(512, 25))\n",
        "\n",
        "    def forward(self, inputs):\n",
        "        inputs = F.interpolate(inputs, 224)\n",
        "        output = self.cnn(inputs)\n",
        "        # output = self.fc(output)\n",
        "        scores = F.log_softmax(output, dim=-1)\n",
        "\n",
        "        return scores\n"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "S8dqF6GVqhT3"
      },
      "source": [
        "### **Data Loading**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "bQiJQx2VqoLF"
      },
      "source": [
        "import os\n",
        "import cv2\n",
        "from PIL import Image\n",
        "import PIL\n",
        "from torch.utils.data import Dataset\n",
        "from torchvision import transforms\n",
        "\n",
        "\n",
        "class MyDataset(Dataset):\n",
        "\n",
        "    def __init__(self, is_train=True, num_cat=200):\n",
        "        self.num_cat = num_cat\n",
        "        self.is_train = is_train\n",
        "        self.data_path = \"train\"\n",
        "        self._load_file_list()\n",
        "\n",
        "    def __len__(self):\n",
        "        return len(self.labels)\n",
        "\n",
        "    def _load_file_list(self):\n",
        "        image_files = []\n",
        "        labels = []\n",
        "\n",
        "        work_folders = [int(f) for f in os.listdir(self.data_path) if os.path.isdir(os.path.join(self.data_path, f))]\n",
        "        work_folders.sort()\n",
        "        work_folders = work_folders[:self.num_cat]\n",
        "        for cat in work_folders:\n",
        "            cat = str(cat)\n",
        "            cat_folder = os.path.join(self.data_path, cat)\n",
        "            images = [f for f in os.listdir(cat_folder) if os.path.isfile(os.path.join(cat_folder, f))]\n",
        "            images = images[:-50] if self.is_train else images[-50:]\n",
        "\n",
        "            for img in images:\n",
        "                img_file = os.path.join(cat_folder, img)\n",
        "                image_files.append(img_file)\n",
        "                labels.append(cat)\n",
        "\n",
        "        self.image_files = image_files\n",
        "        self.labels = labels\n",
        "\n",
        "    def __getitem__(self, idx):\n",
        "        img = cv2.imread(self.image_files[idx])\n",
        "        if img is None:\n",
        "            return self.__getitem__((idx + 1) % self.__len__())\n",
        "\n",
        "        img = Image.open(self.image_files[idx])\n",
        "        normalize = transforms.Normalize(mean=[0.485, 0.456, 0.406],\n",
        "                                         std=[0.229, 0.224, 0.225])\n",
        "        if self.is_train == True:\n",
        "          img_transforms = transforms.Compose([\n",
        "              # # transforms.Resize((224,224)),\n",
        "              transforms.ColorJitter(hue=.05, saturation=.05),\n",
        "              transforms.RandomHorizontalFlip(),\n",
        "              transforms.RandomAffine(degrees=40, scale=(.9, 1.1), shear=0),\n",
        "              transforms.GaussianBlur(11, sigma=(0.1, 2.0)),\n",
        "              transforms.RandomRotation(20, resample=PIL.Image.BILINEAR),\n",
        "              transforms.ToTensor(),\n",
        "              normalize,\n",
        "          ])\n",
        "        else:\n",
        "          img_transforms = transforms.Compose([\n",
        "              transforms.ToTensor(),\n",
        "              normalize,\n",
        "          ])\n",
        "        img = img_transforms(img)\n",
        "        label = int(self.labels[idx])\n",
        "\n",
        "        sample = {\n",
        "            'img': img,\n",
        "            'label': label\n",
        "        }\n",
        "\n",
        "        return sample\n"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "j6EI5Ex9sYy6"
      },
      "source": [
        "### **Model Training**\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "65QFqDsvOcEh"
      },
      "source": [
        "from os import path, chdir, getcwd, mkdir\n",
        "projectDirectory = \"/content/drive/My Drive/SceneRecognition\"\n",
        "chdir(projectDirectory)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "5UdfyJ9tsYUx",
        "outputId": "cb6c832d-f07f-4e2d-e92f-08b0c6dbaa72"
      },
      "source": [
        "import torch\n",
        "import multiprocessing as mp\n",
        "from torch.optim.lr_scheduler import ReduceLROnPlateau\n",
        "\n",
        "\n",
        "def get_lr(optimizer):\n",
        "    for param_group in optimizer.param_groups:\n",
        "        return param_group['lr']\n",
        "\n",
        "\n",
        "def train():\n",
        "    my_model = MyModel()\n",
        "    my_model = my_model.cuda().float()\n",
        "    batch_size = 32\n",
        "    num_epoch = 10\n",
        "    num_classes = 25\n",
        "\n",
        "    train_set = MyDataset(is_train=True, num_cat=num_classes)\n",
        "    validation_set = MyDataset(is_train=False, num_cat=num_classes)\n",
        "\n",
        "\n",
        "    train_loader = torch.utils.data.DataLoader(train_set, batch_size=batch_size, shuffle=True, pin_memory=True)\n",
        "    validation_loader = torch.utils.data.DataLoader(validation_set, batch_size=batch_size, shuffle=True, pin_memory=True)\n",
        "    \n",
        "    optimizer = torch.optim.Adam([\n",
        "                  { 'params': my_model.cnn.layer4.parameters(), 'lr': 1e-3 /3},\n",
        "                  { 'params': my_model.cnn.layer3.parameters(), 'lr': 1e-3 /9},\n",
        "                  ], lr=1e-3)\n",
        "    loss_func = torch.nn.NLLLoss()\n",
        "    scheduler = ReduceLROnPlateau(optimizer, 'min', factor=0.5, patience=500,\n",
        "                                  threshold=2e-1, verbose=True, min_lr=1e-5)\n",
        "\n",
        "    print(\"start training\")\n",
        "    for epoch in range(num_epoch):\n",
        "        total = 0\n",
        "        correct = 0\n",
        "        my_model.train()\n",
        "        for i, data in enumerate(train_loader, 0):\n",
        "            optimizer.zero_grad()\n",
        "            labels = data['label'].cuda()\n",
        "            img = data['img'].cuda().float()\n",
        "            prediction = my_model(img)\n",
        "\n",
        "            loss = loss_func(prediction, labels)\n",
        "            loss.backward()\n",
        "            optimizer.step()\n",
        "            scheduler.step(loss)\n",
        "\n",
        "            _, predicted = torch.max(prediction, 1)\n",
        "            total += labels.size(0)\n",
        "            correct += (predicted == labels).sum().item()\n",
        "\n",
        "            print('[epoch: %5d/%5d, batch: %5d] loss: %.3f, lr: %.10f, acc %d %%'\n",
        "                  % (epoch, num_epoch, i, loss.clone().item(), get_lr(optimizer), (100 * correct / total)))\n",
        "\n",
        "        # validation accuracy\n",
        "        total = 0\n",
        "        correct = 0\n",
        "        my_model.eval()\n",
        "        for i, data in enumerate(validation_loader, 0):\n",
        "            labels = data['label'].cuda()\n",
        "            img = data['img'].cuda().float()\n",
        "            prediction = my_model(img)\n",
        "\n",
        "            _, predicted = torch.max(prediction, 1)\n",
        "            total += labels.size(0)\n",
        "            correct += (predicted == labels).sum().item()\n",
        "\n",
        "        print('[epoch: %5d/%5d] validation acc %d %%'\n",
        "              % (epoch, num_epoch, (100 * correct / total)))\n",
        "\n",
        "        torch.save(my_model.state_dict(), \"my_model_bn_ia_bs_tr_final.pt\")\n",
        "\n",
        "\n",
        "if __name__ == \"__main__\":\n",
        "    train()\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "start training\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/torchvision/transforms/transforms.py:1201: UserWarning: Argument resample is deprecated and will be removed since v0.10.0. Please, use interpolation instead\n",
            "  \"Argument resample is deprecated and will be removed since v0.10.0. Please, use interpolation instead\"\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "[epoch:     0/   10, batch:     0] loss: 3.218, lr: 0.0003333333, acc 3 %\n",
            "[epoch:     0/   10, batch:     1] loss: 3.213, lr: 0.0003333333, acc 1 %\n",
            "[epoch:     0/   10, batch:     2] loss: 3.182, lr: 0.0003333333, acc 3 %\n",
            "[epoch:     0/   10, batch:     3] loss: 3.186, lr: 0.0003333333, acc 3 %\n",
            "[epoch:     0/   10, batch:     4] loss: 3.225, lr: 0.0003333333, acc 3 %\n",
            "[epoch:     0/   10, batch:     5] loss: 3.177, lr: 0.0003333333, acc 6 %\n",
            "[epoch:     0/   10, batch:     6] loss: 3.173, lr: 0.0003333333, acc 7 %\n",
            "[epoch:     0/   10, batch:     7] loss: 3.164, lr: 0.0003333333, acc 7 %\n",
            "[epoch:     0/   10, batch:     8] loss: 3.139, lr: 0.0003333333, acc 9 %\n",
            "[epoch:     0/   10, batch:     9] loss: 3.116, lr: 0.0003333333, acc 10 %\n",
            "[epoch:     0/   10, batch:    10] loss: 3.081, lr: 0.0003333333, acc 12 %\n",
            "[epoch:     0/   10, batch:    11] loss: 3.083, lr: 0.0003333333, acc 12 %\n",
            "[epoch:     0/   10, batch:    12] loss: 3.094, lr: 0.0003333333, acc 13 %\n",
            "[epoch:     0/   10, batch:    13] loss: 3.043, lr: 0.0003333333, acc 14 %\n",
            "[epoch:     0/   10, batch:    14] loss: 3.048, lr: 0.0003333333, acc 15 %\n",
            "[epoch:     0/   10, batch:    15] loss: 3.081, lr: 0.0003333333, acc 15 %\n",
            "[epoch:     0/   10, batch:    16] loss: 3.084, lr: 0.0003333333, acc 15 %\n",
            "[epoch:     0/   10, batch:    17] loss: 3.048, lr: 0.0003333333, acc 17 %\n",
            "[epoch:     0/   10, batch:    18] loss: 2.983, lr: 0.0003333333, acc 18 %\n",
            "[epoch:     0/   10, batch:    19] loss: 2.957, lr: 0.0003333333, acc 18 %\n",
            "[epoch:     0/   10, batch:    20] loss: 2.980, lr: 0.0003333333, acc 19 %\n",
            "[epoch:     0/   10, batch:    21] loss: 2.919, lr: 0.0003333333, acc 20 %\n",
            "[epoch:     0/   10, batch:    22] loss: 2.930, lr: 0.0003333333, acc 21 %\n",
            "[epoch:     0/   10, batch:    23] loss: 2.925, lr: 0.0003333333, acc 22 %\n",
            "[epoch:     0/   10, batch:    24] loss: 2.950, lr: 0.0003333333, acc 23 %\n",
            "[epoch:     0/   10, batch:    25] loss: 2.916, lr: 0.0003333333, acc 24 %\n",
            "[epoch:     0/   10, batch:    26] loss: 2.896, lr: 0.0003333333, acc 25 %\n",
            "[epoch:     0/   10, batch:    27] loss: 2.837, lr: 0.0003333333, acc 26 %\n",
            "[epoch:     0/   10, batch:    28] loss: 2.843, lr: 0.0003333333, acc 27 %\n",
            "[epoch:     0/   10, batch:    29] loss: 2.879, lr: 0.0003333333, acc 28 %\n",
            "[epoch:     0/   10, batch:    30] loss: 2.774, lr: 0.0003333333, acc 29 %\n",
            "[epoch:     0/   10, batch:    31] loss: 2.746, lr: 0.0003333333, acc 30 %\n",
            "[epoch:     0/   10, batch:    32] loss: 2.814, lr: 0.0003333333, acc 30 %\n",
            "[epoch:     0/   10, batch:    33] loss: 2.743, lr: 0.0003333333, acc 31 %\n",
            "[epoch:     0/   10, batch:    34] loss: 2.802, lr: 0.0003333333, acc 31 %\n",
            "[epoch:     0/   10, batch:    35] loss: 2.721, lr: 0.0003333333, acc 32 %\n",
            "[epoch:     0/   10, batch:    36] loss: 2.708, lr: 0.0003333333, acc 33 %\n",
            "[epoch:     0/   10, batch:    37] loss: 2.665, lr: 0.0003333333, acc 33 %\n",
            "[epoch:     0/   10, batch:    38] loss: 2.686, lr: 0.0003333333, acc 34 %\n",
            "[epoch:     0/   10, batch:    39] loss: 2.726, lr: 0.0003333333, acc 34 %\n",
            "[epoch:     0/   10, batch:    40] loss: 2.668, lr: 0.0003333333, acc 35 %\n",
            "[epoch:     0/   10, batch:    41] loss: 2.530, lr: 0.0003333333, acc 36 %\n",
            "[epoch:     0/   10, batch:    42] loss: 2.703, lr: 0.0003333333, acc 36 %\n",
            "[epoch:     0/   10, batch:    43] loss: 2.622, lr: 0.0003333333, acc 36 %\n",
            "[epoch:     0/   10, batch:    44] loss: 2.629, lr: 0.0003333333, acc 37 %\n",
            "[epoch:     0/   10, batch:    45] loss: 2.599, lr: 0.0003333333, acc 38 %\n",
            "[epoch:     0/   10, batch:    46] loss: 2.588, lr: 0.0003333333, acc 38 %\n",
            "[epoch:     0/   10, batch:    47] loss: 2.468, lr: 0.0003333333, acc 38 %\n",
            "[epoch:     0/   10, batch:    48] loss: 2.503, lr: 0.0003333333, acc 39 %\n",
            "[epoch:     0/   10, batch:    49] loss: 2.407, lr: 0.0003333333, acc 40 %\n",
            "[epoch:     0/   10, batch:    50] loss: 2.494, lr: 0.0003333333, acc 40 %\n",
            "[epoch:     0/   10, batch:    51] loss: 2.626, lr: 0.0003333333, acc 40 %\n",
            "[epoch:     0/   10, batch:    52] loss: 2.434, lr: 0.0003333333, acc 41 %\n",
            "[epoch:     0/   10, batch:    53] loss: 2.501, lr: 0.0003333333, acc 41 %\n",
            "[epoch:     0/   10, batch:    54] loss: 2.436, lr: 0.0003333333, acc 42 %\n",
            "[epoch:     0/   10, batch:    55] loss: 2.673, lr: 0.0003333333, acc 42 %\n",
            "[epoch:     0/   10, batch:    56] loss: 2.465, lr: 0.0003333333, acc 42 %\n",
            "[epoch:     0/   10, batch:    57] loss: 2.454, lr: 0.0003333333, acc 42 %\n",
            "[epoch:     0/   10, batch:    58] loss: 2.453, lr: 0.0003333333, acc 43 %\n",
            "[epoch:     0/   10, batch:    59] loss: 2.308, lr: 0.0003333333, acc 44 %\n",
            "[epoch:     0/   10, batch:    60] loss: 2.302, lr: 0.0003333333, acc 44 %\n",
            "[epoch:     0/   10, batch:    61] loss: 2.389, lr: 0.0003333333, acc 44 %\n",
            "[epoch:     0/   10, batch:    62] loss: 2.425, lr: 0.0003333333, acc 45 %\n",
            "[epoch:     0/   10, batch:    63] loss: 2.648, lr: 0.0003333333, acc 45 %\n",
            "[epoch:     0/   10, batch:    64] loss: 2.481, lr: 0.0003333333, acc 45 %\n",
            "[epoch:     0/   10, batch:    65] loss: 2.317, lr: 0.0003333333, acc 46 %\n",
            "[epoch:     0/   10, batch:    66] loss: 2.576, lr: 0.0003333333, acc 46 %\n",
            "[epoch:     0/   10, batch:    67] loss: 2.396, lr: 0.0003333333, acc 46 %\n",
            "[epoch:     0/   10, batch:    68] loss: 2.434, lr: 0.0003333333, acc 46 %\n",
            "[epoch:     0/   10, batch:    69] loss: 2.425, lr: 0.0003333333, acc 46 %\n",
            "[epoch:     0/   10, batch:    70] loss: 2.444, lr: 0.0003333333, acc 47 %\n",
            "[epoch:     0/   10, batch:    71] loss: 2.261, lr: 0.0003333333, acc 47 %\n",
            "[epoch:     0/   10, batch:    72] loss: 2.245, lr: 0.0003333333, acc 48 %\n",
            "[epoch:     0/   10, batch:    73] loss: 2.214, lr: 0.0003333333, acc 48 %\n",
            "[epoch:     0/   10, batch:    74] loss: 2.327, lr: 0.0003333333, acc 48 %\n",
            "[epoch:     0/   10, batch:    75] loss: 2.366, lr: 0.0003333333, acc 49 %\n",
            "[epoch:     0/   10, batch:    76] loss: 2.419, lr: 0.0003333333, acc 49 %\n",
            "[epoch:     0/   10, batch:    77] loss: 2.184, lr: 0.0003333333, acc 49 %\n",
            "[epoch:     0/   10, batch:    78] loss: 2.251, lr: 0.0003333333, acc 49 %\n",
            "[epoch:     0/   10, batch:    79] loss: 2.308, lr: 0.0003333333, acc 50 %\n",
            "[epoch:     0/   10, batch:    80] loss: 2.211, lr: 0.0003333333, acc 50 %\n",
            "[epoch:     0/   10, batch:    81] loss: 2.287, lr: 0.0003333333, acc 50 %\n",
            "[epoch:     0/   10, batch:    82] loss: 2.334, lr: 0.0003333333, acc 50 %\n",
            "[epoch:     0/   10, batch:    83] loss: 2.289, lr: 0.0003333333, acc 50 %\n",
            "[epoch:     0/   10, batch:    84] loss: 2.247, lr: 0.0003333333, acc 51 %\n",
            "[epoch:     0/   10, batch:    85] loss: 2.191, lr: 0.0003333333, acc 51 %\n",
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            "[epoch:     0/   10, batch:    87] loss: 2.353, lr: 0.0003333333, acc 51 %\n",
            "[epoch:     0/   10, batch:    88] loss: 2.272, lr: 0.0003333333, acc 51 %\n",
            "[epoch:     0/   10, batch:    89] loss: 2.338, lr: 0.0003333333, acc 51 %\n",
            "[epoch:     0/   10, batch:    90] loss: 2.228, lr: 0.0003333333, acc 52 %\n",
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            "[epoch:     0/   10, batch:    92] loss: 2.140, lr: 0.0003333333, acc 52 %\n",
            "[epoch:     0/   10, batch:    93] loss: 2.077, lr: 0.0003333333, acc 53 %\n",
            "[epoch:     0/   10, batch:    94] loss: 2.171, lr: 0.0003333333, acc 53 %\n",
            "[epoch:     0/   10, batch:    95] loss: 2.160, lr: 0.0003333333, acc 53 %\n",
            "[epoch:     0/   10, batch:    96] loss: 2.150, lr: 0.0003333333, acc 53 %\n",
            "[epoch:     0/   10, batch:    97] loss: 2.210, lr: 0.0003333333, acc 54 %\n",
            "[epoch:     0/   10, batch:    98] loss: 1.873, lr: 0.0003333333, acc 54 %\n",
            "[epoch:     0/   10, batch:    99] loss: 1.994, lr: 0.0003333333, acc 54 %\n",
            "[epoch:     0/   10, batch:   100] loss: 1.991, lr: 0.0003333333, acc 55 %\n",
            "[epoch:     0/   10, batch:   101] loss: 2.004, lr: 0.0003333333, acc 55 %\n",
            "[epoch:     0/   10, batch:   102] loss: 2.024, lr: 0.0003333333, acc 55 %\n",
            "[epoch:     0/   10, batch:   103] loss: 1.987, lr: 0.0003333333, acc 55 %\n",
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            "[epoch:     0/   10, batch:   105] loss: 2.253, lr: 0.0003333333, acc 56 %\n",
            "[epoch:     0/   10, batch:   106] loss: 1.928, lr: 0.0003333333, acc 56 %\n",
            "[epoch:     0/   10, batch:   107] loss: 1.993, lr: 0.0003333333, acc 56 %\n",
            "[epoch:     0/   10, batch:   108] loss: 2.095, lr: 0.0003333333, acc 56 %\n",
            "[epoch:     0/   10, batch:   109] loss: 2.003, lr: 0.0003333333, acc 57 %\n",
            "[epoch:     0/   10, batch:   110] loss: 2.147, lr: 0.0003333333, acc 57 %\n",
            "[epoch:     0/   10, batch:   111] loss: 1.887, lr: 0.0003333333, acc 57 %\n",
            "[epoch:     0/   10, batch:   112] loss: 2.133, lr: 0.0003333333, acc 57 %\n",
            "[epoch:     0/   10, batch:   113] loss: 2.037, lr: 0.0003333333, acc 57 %\n",
            "[epoch:     0/   10, batch:   114] loss: 2.007, lr: 0.0003333333, acc 58 %\n",
            "[epoch:     0/   10, batch:   115] loss: 2.066, lr: 0.0003333333, acc 58 %\n",
            "[epoch:     0/   10, batch:   116] loss: 1.890, lr: 0.0003333333, acc 58 %\n",
            "[epoch:     0/   10, batch:   117] loss: 2.038, lr: 0.0003333333, acc 58 %\n",
            "[epoch:     0/   10, batch:   118] loss: 2.003, lr: 0.0003333333, acc 59 %\n",
            "[epoch:     0/   10, batch:   119] loss: 1.982, lr: 0.0003333333, acc 59 %\n",
            "[epoch:     0/   10, batch:   120] loss: 1.959, lr: 0.0003333333, acc 59 %\n",
            "[epoch:     0/   10, batch:   121] loss: 1.797, lr: 0.0003333333, acc 59 %\n",
            "[epoch:     0/   10, batch:   122] loss: 1.903, lr: 0.0003333333, acc 59 %\n",
            "[epoch:     0/   10, batch:   123] loss: 1.979, lr: 0.0003333333, acc 60 %\n",
            "[epoch:     0/   10, batch:   124] loss: 1.933, lr: 0.0003333333, acc 60 %\n",
            "[epoch:     0/   10, batch:   125] loss: 1.886, lr: 0.0003333333, acc 60 %\n",
            "[epoch:     0/   10, batch:   126] loss: 1.872, lr: 0.0003333333, acc 60 %\n",
            "[epoch:     0/   10, batch:   127] loss: 1.815, lr: 0.0003333333, acc 60 %\n",
            "[epoch:     0/   10, batch:   128] loss: 1.888, lr: 0.0003333333, acc 61 %\n",
            "[epoch:     0/   10, batch:   129] loss: 2.025, lr: 0.0003333333, acc 61 %\n",
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            "Epoch  2198: reducing learning rate of group 0 to 1.6667e-04.\n",
            "Epoch  2198: reducing learning rate of group 1 to 5.5556e-05.\n",
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            "[epoch:     9/   10] validation acc 98 %\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "BpkhSp2_LLy4"
      },
      "source": [
        "### **Model Testing**\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "rW6xZOsz8Pt8"
      },
      "source": [
        "projectDirectory = \"/content/drive/My Drive/SceneRecognition\"\n",
        "chdir(projectDirectory)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "QEz6Rdvh8VwE",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "fc51a709-d4b7-4d41-8342-107abd3dccfe"
      },
      "source": [
        "# import torch\n",
        "\n",
        "def test():\n",
        "    my_model = MyModel()\n",
        "    my_model = my_model.cuda().float()\n",
        "    batch_size = 32\n",
        "\n",
        "    my_model.load_state_dict(torch.load('my_model_bn_ia_bs_tr_final.pt'))\n",
        "    validation_set = MyDataset(is_train=False, num_cat=25)\n",
        "\n",
        "    # mp.set_start_method('spawn', force=True)\n",
        "    validation_loader = torch.utils.data.DataLoader(validation_set, batch_size=batch_size, shuffle=True)\n",
        "\n",
        "    # validation accuracy\n",
        "    total = 0\n",
        "    correct = 0\n",
        "    for i, data in enumerate(validation_loader, 0):\n",
        "        labels = data['label'].cuda()\n",
        "        img = data['img'].cuda().float()\n",
        "        prediction = my_model(img)\n",
        "\n",
        "        _, predicted = torch.max(prediction, 1)\n",
        "        total += labels.size(0)\n",
        "        correct += (predicted == labels).sum().item()\n",
        "        print('[batch: %5d], acc %d %%'\n",
        "              % ( i, (100 * correct / total)))\n",
        "\n",
        "    print('validation acc %d %%' % (100 * correct / total))\n",
        "\n",
        "\n",
        "if __name__ == \"__main__\":\n",
        "    test()\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[batch:     0], acc 100 %\n",
            "[batch:     1], acc 98 %\n",
            "[batch:     2], acc 98 %\n",
            "[batch:     3], acc 99 %\n",
            "[batch:     4], acc 98 %\n",
            "[batch:     5], acc 98 %\n",
            "[batch:     6], acc 98 %\n",
            "[batch:     7], acc 98 %\n",
            "[batch:     8], acc 98 %\n",
            "[batch:     9], acc 97 %\n",
            "[batch:    10], acc 97 %\n",
            "[batch:    11], acc 97 %\n",
            "[batch:    12], acc 97 %\n",
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            "[batch:    14], acc 97 %\n",
            "[batch:    15], acc 97 %\n",
            "[batch:    16], acc 97 %\n",
            "[batch:    17], acc 97 %\n",
            "[batch:    18], acc 97 %\n",
            "[batch:    19], acc 97 %\n",
            "[batch:    20], acc 97 %\n",
            "[batch:    21], acc 97 %\n",
            "[batch:    22], acc 97 %\n",
            "[batch:    23], acc 97 %\n",
            "[batch:    24], acc 97 %\n",
            "[batch:    25], acc 97 %\n",
            "[batch:    26], acc 97 %\n",
            "[batch:    27], acc 97 %\n",
            "[batch:    28], acc 97 %\n",
            "[batch:    29], acc 98 %\n",
            "[batch:    30], acc 98 %\n",
            "[batch:    31], acc 98 %\n",
            "[batch:    32], acc 98 %\n",
            "[batch:    33], acc 98 %\n",
            "[batch:    34], acc 97 %\n",
            "[batch:    35], acc 97 %\n",
            "[batch:    36], acc 97 %\n",
            "[batch:    37], acc 97 %\n",
            "[batch:    38], acc 97 %\n",
            "[batch:    39], acc 97 %\n",
            "validation acc 97 %\n"
          ],
          "name": "stdout"
        }
      ]
    }
  ]
}