{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "6daa45ce",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Variables\n",
    "#### CS 65: Introduction to Computer Science I"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f5b94a74",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Variables\n",
    "\n",
    "__variable:__ a named unit of computer memory that can store a value\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7699fa7e",
   "metadata": {
    "cell_style": "split"
   },
   "source": [
    "They're kind of like cells in a spreadsheet\n",
    "\n"
   ]
  },
  {
   "attachments": {
    "spreadsheet_memory.png": {
     "image/png": 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yYIMRwgKkUmnpdjf2GJBKMB4jCS1IQhJIKi1IVZnz//1v3HjxvvyyVFWqzCxVvqisLyJu3Lg34saN/xcvXrz3zXzgAx+Y+9a3vtW97W1v62ZmZjpCxnNzc0638Vw3162aWdW1NPjJtyFpk3HKn52bnScn629Jf9bfkv7tqU97ZvQv5RMvpGOyT5l3nWKfLdWnjJD1Mg5qT1+IZ0v8WYe4HZO2TqYzhrcN0Alt/yfL27JJOdPqJ8/oP/34pk0yts1H/9kl8GfmyiuvnLvzzju7V77yld3mzZsDXDSvclLmoGecE4y8HaEAaublF/rrQTbrTcbUTVqmiV11C/qzDjEhATHz21o/+4ksy6Dp26A/66f+FnBSZkuDL/OUT9bflvZn3dRDPFnfNH20erdH/zQ50LINVT7G24L9WjmT9V02+k8dK+xR7dr4zfaM30JybPOix+kJ/2/LU2/GlLXjP61+6p0mZ7K+5e4i/mNgveOOO7o1J3xf993vPqFVpNZtBbQmO86kndW/VfqXkycNl3WqoacYKOWxMkzwzfppeGLLYoLNeJa5qOWb1JV1UnfmiaHlKinzxBlauUnLuC2bTMNjR5hweHTRv8k2TuapP40GPUNbTjr7N5lO/iwn39bdUp4y92NivObVAS/nYtym6vdQ6UMhdZPONpmm4tF/evvY7qP/4CZyFP52If9hxfqNb3yj2/u5+3VPPP5Y95zVqzwxckJEr8MZtkTLybQlHmTlpGwBqK3TyoFOvqW1MrJtC9Ha8uQhTn2Tcp+OZ6E2Z72US34yLKRrsg580BbStZAc9KWslNG2YUu0Vlcrh/RkvYX0p+5pdbaGNk3utHrZnrbNk7qpZxuO/rPV45c2m2bzp6O1Y9HKmVZv2jjnmMJPmMxvDW2a3Gn1Unbb5sXwH69Y77rrru6C88+nR2qLvjWIFGa61Xho163S/1lN+HKJt0oLVjKzKlsNrazQ5rRPWSsrxeqXMsuw3ACNMILSs9p6WAWt61ZLKPKQtjX616+7Fs7u9NNOCx1KS6Dqxv4vWfTPVnEkomN81na5eewbqx1WjAxqUyBQV5vm3H/JZQVNSQiwflFLPWr0afPpo+pRalL/3Kz2ddX/WcXoj7aHTZC2rfpXYv87+RBu88R3v2tr224YXyGGCTsybr39XWj7xlhTHONPCXzBoYGPuo3/UzLjKylGW/X0GX5DCZSsPOpfSvvvsccetv/q1c/RcDMOyzv/Z6644oo5gPWiiy6UX8hZNMHBTQIu48CkV9KAIoIBRE4H4OBjXPrOFl7KDMhc9KmQy0eDpxDO3xYhUZ/wYXpkI0T/t0H/tevWW/9pp55hKb1+RMeQRvuUjmyjmaTAVAW0IvX7e4FvDQEdIUA/2u0+coPLtpA29X+G7x2xGsAlyXX4WEA/A079/AJZrS+BCvxN/wFzB9pdAvpzPNL+/sLDvuJZqf3fvEkDIHs98STAylDjR3iwLKII/7OBiklLpPKF/W/S/tQJK0fttP9C/j/qX3r7P2f33YxPzxGwLjT/NIwOMYqLO//rzavXv+EN+vLn2x9QYaoGCERL7K5uuIFXjmxnAyQMmOl6djlX8YfKjQ0qZrXnnFn1oTLMv1nqlPSHtW6l/muvXWcVJ59yWucVNJqiGaYja7Pa6ZWI2oh+A+kU/au0aozOUZhCiEswUCqNCtpd+h/fjGgKm9E/LAN49lQVS9Q0/UzgWYARZj6UN7NrS5Ly/jJCPAGWRr9BWn1byf1/6qmnbLonn3yqN11Yq45k2n/S/57O/kUMRg9ZE/annCHzCtaDIwJjWQKj6WwZ/1E/BsQoNpqiLft/2nFr7L/77lqxSuxzdhOwokL/l3X+f+Yzn5m7++67uwsuvND9tX/khA6vcUNZmq3SDIbUB1vJkz8K1B0ZDWysqz0xAwaUG3BUxQebMC5l+sfxLVZxAF94ootURTxGHcgFZKJat97AOtedcurpIRdZlGHRjEs2YE8Z8iqTJCcCuKKeq+jDTQ1OtSsgk2xc8pFSS6wI3ki7XyrxlwxbG3UZCnfCbvDHEtVLKcsppnGT3X9S7jPTUNYpOrZG/0rsP8BK2KQ4+s8AM74mD+wPhfGf9L+wdJRlvahNhTLGeI3TtUQJCSsVUDfqxxzLY//dd9tNygFWxf2wTB3/pZj/MwArx60uuugiNwznABTtJXIkVpUV4KrNaHlM9d6Odi3LMDBYUNAsRWg7J7mxaixOWgCod8qidgv6jXaStf7a9cBOd6pWrOHbvf60KxPBgC3gBu21TVz1R2f1KVrqzy0LdAQN0GdVzjeFKLX/1BYPJPXB9ooardiB3fxtoxuDACvtItS6slVMSoj6U3FwZNtEnKI/mFXHzHzQ8/gktxL6D6Dyxbl50+bS877/aY3W//DXGkjLULZcSec4pDW3x/+LqDoao/6Yf8z/xbL/bs/RVoAsDrCm/ZfV/z/2sY/NcdzqzW9+sydirOLkVp7sgEAAaGzuR5NxOvb0gJ8ACZb0PWhV4JAMYxplAgZqRwg5RhOtgsOxA3C2Vv+6a6+x/lNOPa20QU0uoJUrypg1ocvaaQNtQqFqc/PI19FuWK/fbZ3of1SJ+gZbRFhW0Mg2HXR2Uv+0/rMi5R+VsRvtS/0hRGXx5y8J21Y8gEnyVXuvwP4/WfZWnxKwDiZtGYEgpoWT2Ptf2D/pTSwbR+jtzxc5g8Fopf8HDyWiZ5UgxqeJo35s1psn7Mj82VH2Xw2wyv93102snWH+z1x++eVz99xzT/dTP/VTBiZWSwE+Oq0qpwAw+8DluoAWp9O3D8AU2wMBCsnHtOdbGncDNgEBA0eh2dfYGNQqsiwmAxwldmv1X7t+HQ3tTj3tdEtvP9jzmpMgms6KA/0MbHwWJSYoTWNQSmiLmCil/5SqSBSmT+l/T6TmICyk319S9JlWqT772dl/C1hk/bti/5966kmPDQ+31FDGdEv+FxNaBp8y/iFHo1TGv8qVpvR/u4z8L7/Ueh6lRv2eU0tp/9WrVzOlut12393zdrnn/8z69eu9Yj37rLN1IymevMIg/o5l8hsGoAS4pAMZtrTCWqVbr9z9B+QcctXly/nkpgygEptRLvIhUQZR/f6yGOp0/QjIb6PrtGIlf+rJpwsXi+6iztKxciWbEqVO9nkGAP3mzTolpr39V0QRXsRm/2d8DA15fbD0lGVyry/09PlWf25FeGvBImUJIe+MjOZsURG19akG7kj99swQbns8G/r/5ONP2v989SH7pJ1oe82E0YMAItpfgsGnOxYYf+zxdP6P/X36pRkbkqP+MHeYpXGqRbI/xzUZUa9YF7R/aVMdf43vYs3/66+/3nusP/bqV+vbeOh0GCUgToaxQeQw+hfAB0n8XH76MGulmoe66c95iWtaUQEO5zaBy1UY/W0GwSJmuo2PPNztqwcY3Lyi/zrdvAKjTz1FK1bOGRrYMW3WHyaVc6CUVSzsXlmrEYB10OmboJSGmUKVIlP9jx6yEgduxRHI42NX26O/n+DoUVAj/CWTOk3s9RelNhTU+I5SagX3/8kndMxK/Z/V8RJ8FSPiow4MakkGgdK4igp36Rmc6j/ETialKV3832TJRGxdIxSHGvVjleWxf6zjVnV77rG72lAG3eOpbBMgLcX8n7nuuut8jvXVr35NfMuqTUZxDCTgyBViuBlNjtbGZa1WuAUdcVRWWmFatb4mok7cOCogZl66J4DiG4OJIQZ/y0/of+ihh7pHHnmkO+LII92esuTVzatrXZ/jVqiyQgmI9sU8YLKxVUGdWZXxxeF2ituXglTki0H6WbnEpTk3q6LN9dIdO1BHlXNfE4645Ldm64eHAfY5VcW550vtafrFUbBVoCD99D/Bm1RIJo7c0+lHwErr/+OPP24bMp3Lny1Hemh/FQOO2NKmjfEDHXP8bWXq4ZMhxfyuU1JBRw7/Da0pcNQvk2AVe6wSS2l/j5h07r3XXh4phno55//MDTfcMHfrrbd2Z599tg1Bq5jg7ea8nams7KJcFFnPB6kFXLNzmwUoAJMqzsjZKEOIZYkX51XWIK1lKYCFTPZv4Ys79zC4innR/8jDjxhU4T3yqKOjfpG57ppr/M1zkm5eMZpo6/UzaUIWn0woAAv9vtwmdoHo7gjDotDohz+kFtmUt4G2Kw9ABxjKZjlJS3/zi8n7cuIK/hBCmn5n/8nbOUTjXG20V7QwnFsTNeOTZq/GdmRV2bKr/VdO/x8TsOYZ6X78i93SYNglLVguA/tRixI4Kosyk/5fPCYlym/KysfjzxUMvqSKE/7vCqP+xrgxr3a8/TV8svNee++pxE7g/2wF8K6AM888s5/M9jC6joPS4Igh4IDQ+c/qrQYXQJ1PwynhNYAqzYs4cMSgFdkIUlXrkvSHBaoPa6Wa+o866kgrtXQR1627BnadYz1NdaJhXgMr6VWlyirgRXEoAs3FiH4rUxwgin4mB60Vj5j4jFUpmmYFZPoSEXrOrNIjV9SCt9RBXMpTKkKhIdFJUZnXCQSWqjx9dHiG+ldi/58AWPVvxlcmHrFiTEXbbP8YwuL5ZfzLsKIDgfa15OhVpa5QWuijfttr6/1/++2vZZrn1p577b1TzP+Z3GN9zWu0FRAuaq/AieywnvRKe3kZzhqXVC4NLgFC7o+mEalvIMXh1Wn8kWDQ4xtcl98OLrCS1ChQfdirVREUYrIceYSAlbz+o3+9bl7RpFNOOdWrRq+eVRbcUc1poxbrOrWItPWpTb78j9YamMURl/HiNB+yuPRnZRny0G2Z+oAlTeJtBcllNTy5+g7UDP3o8ZcJ2dp/pUto7Y+iWF3LYQTo5GlPKp6mv7YPeeYvfZH9lVLVXa//Tzz2qLdZ+NLDCdP/pvUfs8gCcgF9VvvLUKbyGfXho36QS6JG0lBWRDH+qiO7Tvr/qL+YEJ8r/odZF8v+c5wKkfC99t6nDpuHrNG/lP5vYGXFCrD6cl6Nc1vUquJLNodphWKQBS9hUDcoMzgpgYPl5TalMInqT6fFE0AGr5hBrgzKPqQbVRu1UiUgPkuPOuqoSkH/teuvsdyTTj412pulbSXRCMgwONKK6Ijx1V1IBTCqLnPOLKRL3b4VUBTMB0iygo1Ld8i5IjcAQihhsfTbrmpL6VK0t290qt+l+79x40ZvnazSVYS7Pq//4X/PfPwRXIQryqsOXHjL9h/146eLbf9ZXsajEdpnr3366brI829L8983r2Ir4Cw7CKDnZ3jlLQACTiPowDTeKwUI49sZsIy3MnkFQD2V4Wh8Q3n1phtSnAWMnlKmlZPkxQ4r9ETnANuNG3X5r9Vqqx/tuObR3goQn+ojkncFoP9UbwXQSBEVxQd6kGnogahAIbKiNwF+Q/0BuvRfPUCP62UNyZS80B+Fk/1fav3/8P/8fXfFpz+tVq7qzj/vvO5F3/ui0s+V0X/s/7hWrAwKwDq0Py4RfhsFWzP+HvAp/lfk1PHHzPKFCf9fSv1X/veruwcf/naZczPdbjrHediBh3THHnZ09z3P1yJE3d2V+z9p/9lNeqRZw7LPc/fV5/L7v29e8eTVa17z6vAqkEMh39wUxPgEeOqlriEqwDdKA6rk4i5J8KSzpkjuzGqt8LhTD1pjhozlBQ8/HHf/jVwIrIBMpuuOLKcCUv+1666WhBlvBQQH+mkPDh/gqKRSvX6+FAq2ixrGD47os9Ol/94qMIvqxLeFmtv2f1iTHN/K/haTEprvLxfVjdNo0rGD9Z92+unddevXu/sXXHB+96d/9ucrqv+M7WP6MiZ+znP0ujjF6X/pPtDS/8L+eAlBJY3/xWhCLr7AVkGmzR8foYN0+lsWDv1/MfXf/9AD3WsvvrD0t9Gv/rBN8b+e8IPdr77+F7oD9t3fPLta/3P8Yr5H/zdtelKJme65Opa5U8x/HhDgXQFnnvk6AUgOUrjNKt7HqrucCVhB7buD89j39MEWFyG2BEjgt2mCcG7BTYFdwC8gkDocpwJYMUyGMI7yUgLv0ToVEEIjunbdNQavk049NRoBnzqQ4Ick0u6TMjRPODlVv8gK/ZSJnGRpxTPZfzex2Kntv9u5jfpB+WgjAmm7pkCREf1fWP/tt9/e/Yvv/V63Grvts8/eHa9/3Gefffzlt6v3nzHC/o88qm0j+V++1aiO3cCXtux/1NkR4x9ykKSxXET9d3/r3u6cX36D+/+a036sO3Dfg7qNjz/S3XL717qv/L832Sf+zUt/qHv3m3+l9gxwXWj+RbvxQbwmwtP5H1yT/l+qLnr/3cEJ/Zs26wk8zZ19991v5/B/zrGyYj3LT15tkrEASRnYiBROAmry9I/dU0UY1EhFTC89JgFiYKlvtmgYDbJFXg8Y1InAMHLpzwkAAwxDL36PbwMwuOnRRx4hbrlH0c8eK3pPPuWUcmMNafwPgAoYJUuFoCvnphI7FB1+KxUgPKGfM7D8phb9t2PaBJLluPQbifoLHVvWb3sY7Kmg3tS0bK60j60V6Mf+YZOYpuin/3zN0Zrf+d3f7t75y+/sjj/+uO5rX/2anpqb7f5MK9bzzz9P9fJrRFV20f7HFcVct3Hjwx6P3fyMeBkG+wGDlP2PpLN90lymybRP53/Yn62l9D8NQXEmVWZoPJZLo/+e++/rzn7n6z22H/7193fHHqq5UfRfevl/6T5xzafIdlf9/se7vXbTuU7csgSamiHJTPVnU/+n4c+TehkPYd9991Vflt//6wMCcSoAcImJbCDVvlVQGJtCd/Mj7Z0n9dIDVAaHVRjfjND8SSJGzjVxwny66BHdqAJYw1vhcyVFqik5vttayOyxmm4pczputc4Af+KppxigqAtw8Z2wGR3wFXkL6bczAWBw688HmiWAS/rsP/3BS6f134zlqTN0IQ9+P4Y6Rb+/XFBkeJRMT4Zef7Y3++8VhtjZ/pjU//3/8qXd1265pfuDP/w/u0/+9V93V111VfeKl7+i+8wVn14R/cci+N9DGx8yxu22m97HqYCd0v/SnguNfziIKhktiS1AUfpfbmiFXNPFAmPwKKU5zIi6rqKl0H/3/fd0Z//yG+3/H37XB7SvGkcRacbff+0fu7de+g636c/f+Yfdi478HrXNzkmx25nzrzb6WdZ/2j1p/6f0CxIM3/777bdz+H+eYz3rrDPlkGH43F7Ku9xlNOx/LisDhUORrN/eAItCgoBXecplbH6Xs1LlnKpuVLkGH2EsUv5GUkGIljSB1VFH6wEB0VI/N6+oe+JJp4heXL4AlVeCllNATo2kb/Ajk5jPMjxKU188fNOJN/vf6gdcW/3k4+iUuDy5Yv81wBXJkGOS5/fntupHh22BNKVZrfJV98UvfrH71z/0Q91u2lf8xjfu6K648oruTT/xk1K4qmOL4PmHH2798eXE1cau1f98jSP25Mk87L/H7nu6zyLVke3tH+Mw3f7UiDo8HYeQrR1/yxN/+h9jTkjPWiz9BtZ3/rj1/MWv/XF3zGHPVxqtWqX+j3Xdu/74P9pXr3j3R7r9n7t/9cNdpf955dfa/6kn42U8bAXsDPPfx6148uqcc87xik3jozmsQdJkpOFMaAKDRooBZIL3l7GUBt2OJRDksHau/qJUn/5WVJnA66GHvqN91Y0hVF4cd+/hsaBaBZBL/UfquFWrf/26a8x30smnBH/91i11al2EKhT90QtokkYUWOp+Id9gm332wwDqi2SVGq6TqsTeBxF9KqLUoe2ugxra4nL6ml2SjbU05j0L3opweyjsRTbMA/2/8Iu/0L3vfe/rfuRHfqT71Kc+5T3qI484yr+y++53/2731p97G0qLIsWEXaj/rf29N6++7rEHl7wYO64weoNF9xfuP2OCV2Mj/d8K+7f6i/RSd2n03/2g9lj/wxus+rLf+EB3zKGxYv3anf/c/dL/9a7uXm0V/OsT/lX3ez/za7V5u1L/p9n/u48/obk80+0nYA0/WF7/N7Cyx/q6177WDUpA9HRsJyfOJ7/B73L1x6gZhPHI0o8AZK2S8DEPawAMNVl91XOqFObSFL7UZXrxU8iwSdZRR8bNq9Q/AFYRmRp+1l/Mc37vQOpFQBEvYXVQtlF/ztfQb20hWC3kH5RoLRH9Xxz9/HzOsd/zgu7ee+/p/vRP/7S74IIL3L/zzj2v+/jHP979wA/8z91/+6//fdH0L3f/W/18SX/nOw/a7nvuuXdjf42GGBlif+ITyuBuO2b8bXJLDw2T47+4+u964D4B6+ulekYvJ9q3W60rF35h+Qn9fD1ueOB+B3cfeud/7g7QanVX7H+LP2n/J594wvPwgAMO3DnmP1sBXD6efU6+KwBg0srSe4c0WwGnxFHDq5WRI+k8FodyV+kI1Zw2NVmt1eKo5UEu3m2Kn6ji8L8dHGfkIlkZApVL0nFTRP7oo4+KSaFGcGF3Lb/SKrQ7mVMBPnQazs1qGlEOrcykERf9+Qz/kFeVmIUT+of9pwaTldW5+JdQ/1Wfvar70Vf9qFZoe+oUwJ3dfvvrG1r6//qTf9WtPWetujbXfelLX+qOO+64oU3dyfLxLO5//60e9n/44e+4/3vuvZfHfTDpFm38ZUAusOv42x2WTH+sWN+okeYKkHlX2qJU+v+/OPZ/6i7RivWgfQ9sRz7Sz3j8l7f/sSAb2v+JJx6zLfbd/wCPgzu6aOOP9C3P//6RVr/dSsxujMDJSCID+g4bI6GkaLkOK2wBLCrLAYUn0hpw0d1LxQ8/onOqnDmUgqRHMZ+EuCZHP7IdvMwIhDvqSG0FFP3E115ztfHvxJNPFr+M7OVItDv6IAlcagv4WIX7y0BpfWeIWzLF3+oP5xRtAf1mplGlcUQ0L/qH3VRXwn2SAGb9ad2qSG2AyfqoIN2e/UqrH6rkfm2Nfq4G3vjjb+wuu+wyX2F85CMfLfJX6VdKn+iOOuIIbwv84tsv7t71G+/aJfvv8ZQdYhhmvGLFp/bScTMGxD7iwbHJy/gwTtgblun+tzX2l5SQV6J+/CXXOpdG/90P3Nut1VYA+i/Tzatjnndk9+Tmp7r7vn1/d8V/+1z3oSs/Yp8/+QdP7H7rTb+kxtHgXaf/OQyt/R97XA+KqKMHHnhwGQtll3H+G1hZsZ6z9mwd3mcEIngsMgO2CQxwnlX6MFgACgq+9Hcy8iZOfPAylY26+x/TIWFXGhBINSsbaAxSkQNoHa2tgFY/51gJdY+18A6jEI7kgGfyod9dqoaHgdapbzk5RYKb4JsTUk7N7D90T+LCT35+2LL+3jHEx14z7ZFdaYPbXNLxPaD30uopo6Oef2T3mC779txzz+5w3aRqw+233eZ6xxxzTPdP//RPkhW93lX6b3cZLEm77tvfftDjxDPiC4Xp/ZeNq/9h/+LgRQh1Jsd/mv5gb7nnt2JH6wdYz3nnGzxvPqw9Vh+3qq3tuks+8ofdX637lJ9G+8L7/koPT+w2xf+fvf1vulqMPacn8B5z+oADD2oGYMvzz/c2vPBSlR08/w2sPNL6ute9zpO6b4pgJic2TZV3DFYLYgQY+Kaf0UMEXhQmv2KtIQVIq7qHddfWj6lSJjG9syoNQaGlt/qjND69YsUIAJlI6/TkFdJOPPEUORBAFGXQyKFfa0H9K+0koTbQ6FzVTOpHtu/0axWJnOw/scTxZxHIsEb1D9bt1e9vVMmO41TIjva50fEhjSVI+Ycv+3D3xje+MfqUdNrp1lSCE1/4/Oe6Hz7xpOBVXUT741nc/2n2f/CBBzVms1qx8igjwxudHY5/GXNMYC7xKTE5/hRRztj2nFAVGtKAR4Lw//DKpdH/TQHr2VqxEi779T/WcavnD/T/7f+4tvvNP/kd+/8nfvtD3aEHHGzfarrwrO7/NPtvfPRRj90BrFj1bzj+Gk0qlfm1FPPfwMoTO6/RLwigON/UxCCw3mHVw+FzHsXmMtrt0yeOCcD0jVW+uCUxDr5Rd/7ZAujp1FFF6qrzSfflmWkUy1FVN0vNqcwxx2qPlboqA0quEbBS5WUnnayJVVZmlNEH6qsOP9fAoftYuVEVqMXkSE8N8IqKMNUFUkOaspZH/yVX4O32QtO/Yf9VZHnEEabpN0/Tf3ikMrYntkL/K1/5o93nP/e57lWvelX3f3/kI+VLIL4MkP3kk091L3jBC7SK+7a3DP7ov/zRLtV/2wvzym6YkS/BBx643+O/N1sBGhcXMj5ixi/4eu3pFIsHNo9X8Of4M8Kt/+EHMPuLjy9v1c2qKaZ4BTXNm/Fi6r/7fgHrL7/BbfmwgZWHZ3r97//0Zd2fffov5Mcz3ed+/xN6q77eUepyomd//+lKdiN7/dijGz3mBx18iONp828p5399Ccs5unnF0jjGB+iRE9nvRFOCJ6Ls2AVggiMHKnoanaXSrM+p8qhqDcUCJbIe8zPOVA/FQ/2uHDV4pLXV7xWrCCeddGrUhQ10VMwdeX2azlSw7HKDKUpUrMTT6m/6z/wEoOe6AtSoAnBTfspTnv6j38lU+Az133P3Pd0LXvhCjdHm7oMf/GB37nnnztNP/9/y02/pPvCB93f7779/d8edd3hS7Qr9X8j+337gAY+vnxG3yRfH/h5Sj2k7tjnoEbf+v6PHv9X/TT959Qb78GW/rj3WwwSsUv74U090X/j767tLPvz73VObNnU/cPwPdO9762+GHz5D/2v1931bnv5P079R5+Lx/4MOOmSnmP/DJ6+MpMIEIwKxDJc0LVfntAKMb3FN1XKkCB7ghbdYeUWp3MMP6c3/vlGFJNEBZsRlMJIOKFlSY4OoWNQCh6P1EpZW/zVXr7MBT9SKFZ5evzIQpJNVQ6s/V7MscPmi8EoEsPSlP1VKHdMQov9JUzJ+Fx260qofAB7qpukPRk1E2Y3euj3Ik5f6i8oMLnGq/4h28EsC0caZ7n3vfW/3ixdfrL3VPbq7dYWx9948ulfaooqpX48od2eccYbbfdmHL+vOfN1rq/1r/56F/aerYAP+hx3T/qxYCfvtt69pHo1AOOVlBll7mv/19nf1iY/0gxhbCn0VxTgiFJlb8H9AjgFfLP3f1Ir1rP/wRlyz23037Z+ufo7U6U1fOnLkoCYecMBB3R/+7+/ujn6etgnEKNY+yJjP5v5Ps/+jegKP6XrQwc9zXOdtM/5L6f/9HqtewoI3MAAADzey/BBAcRDS0WJ94lvK0lA6U3pCwvupPKpqBhdSL3JkZ5nU5Uu/1pNAfBGuiJQHjyQf8fw/Rk9eFWXWz4oV/SeeeLLok4EaTMGqKOSKPF2/JBukUr/yWo22/Y9e9HrUQuGlQJlVq22jOupHDB56d6z+tXqA45Of/GS3du05WrF+SNqLXrraBNrwkpe8uLvttm90b3nL/9a95z2XutTtfxb3f5r9sfUD37pP/dN5zv04s5lhW8d/C/4nxfh76E9jG66n+n+0YHH1P6bzqq/THuvGR3kcPPvc6epkr+7Qgw7tfvj7/1V34SvO7vbf57kqjJb7U7zT/f/Z1X/6NPR//YwTmKP+HXyIgNVG2bHzL6zY2xr9W5r/9VTA2rVr/Uo/VlOsBlgtUZk/1lsAnx0MDZAVi8UAyNiJ5BdUP/yQOph9UkydCAICJ/iEiHx9RtIlSYjVSCFJAPqPOqZsBZTq7LGi/2UvO9m+gxiUAY0GSYBZZ3G9P8o3hYQXjSHYOdGqfglzB9Vrdc5YCQmAtUyKoasCfyqb7L9ILsv++wvKDaPkmel/avMmP612wAH7qzUxHpP6s/9P6hVqjz7yaLf/ATyFotbvAv3H3tPsf9+999lXnytg3bL92V8nxFgQe+j94YIYO43vwuOvWqX6to//qH8x7Z9P4B1yyKE7xfw3sN6mYzrs2W3WvownYXE2LpEDqnA8pZig1RGVwLsIih4SoPLmfx9NSqcVc3VSsYUsaMgqdU0Pd++FU4Yi8UoWOR4QMFfRv+6aL6hYK1ZtBcAAJgKAs1oOG3jEHahvWLQ0L8XnXfbn5Xa0wXLUTzR7i8B9jrYM+498lCgU/cZc9qDjz8DLDb/VQkBYhdGFpjaq/7G6FdFpMaDcrYd/2/WvxP5/67577Yb773/gvPG3FeUj/gLCvMUzpvqfXW5of2qk/3lQm7FxvvH/af436seHl8b+39ENW64wDz70eWWUGfC4cozZxNQCv6Ax5UTVoBHHdhszT8Weo898/vtF1/4FAR23YoL7zhlAgFLex2pN0qYNrupHRhDl1RCa8DB3/3lLlSk0L4IbShJGPiS/D0rTSSIXZZmZSy/Lklf6jj7qmIH+dVdfY7Enn3SS4qjrtgOKCFTA0IBZKZ2iPwrhj20HOKNN0TDla/8ll34ruBtKkosh2D79c7oRxXsVeKkI+hn4OU4xgAQ2zOLqD8PTxWdv/++/75u21f7aU4wRibFQxuNu37A/MNZ9Wdi3978Yf2rBR6zAq6vq+C/s/+l/o35mRBovUktlfz/arLE6lKNnHu/lnf8zvOg63sd6pvwC59E3jL0KN8FQCjhk45dAKpv3c1qdPeKV6kY2EIKVGIeEoohN8jYUiSJhcsqQjXDqhf64QRBF1KUOpwJyXqCfm1foP/FlJ1nONP1+dT9zJ5csRRYyLRW1gJnPkW1Zf7SVltDivv80mzL08+3Hl4W/kJRn9Vwfm42qomYAzABS6iNUMtVWXdfKdCQUXBD93xr9UUUCi/1XQv/vv/dem2r/cjCcscn+V//DjsXwJTJhW/xve+w/6setZfwlsP8DeuoMNYceelgd/+X0/3rz6hzvsW7WRGdShyUMFMoZ8KCKbOAVGuCgHKdiCyCPN5lI1RLgcVaJ3CIIHhEkDACdleENmBZOjaxFXIJ4eG1g6tc6urv6am0FKPywgBUsQpNvJJXVNpSURGJ79NfLBa9L5/c/vhnpYbFZVYh2hdInJqVXuyp3Gn6V0Wz9Uo33CJO3bzXgHWDNkFj0hP19GcMe8Aru/z3fvJuFvh5lPKQ3nY3fZLdz/IsYCTJcV/9bVfyfciVF9+g0CqNmoZq+Pf436i8W2Ar78wQel6eHPf8IzxtqPlP7P5P5X49bvZYnr2pL6pAaADzB1cxQFGXxQhUu/wNJ+cTJLESGKGRHBXaioni8VrUy0s7pM6pmvWCGKKeW4GO0x9rqX6d3BVD7ZeVUwNbqR613YbdRP1Or1R/tc6udXAz91heKZBZ0EcIekV5c/aEu9O2s/b/3nntwEZ9f3Br/ezaN/3Lb/9mk/9sP6tidpsOhPOa9BfxZqvGvDwicrZ9miXVoAcX4Kvaqyiszr75kaq0IHy7vU/W01kfTD49FTndieuu1mZZdcQ7UxPgojD0oibuliYvFGPqP1vPvxhZf1s92665Z5/ayFRD6LcVyF0O/Z68Ehy406DKevlXaqD8GKD5ba+yI8V/I/vdpxcoXN3eDl0P/OP45J9oRj3UVs4QxWczxT/s/cL+2ApQ5/HCtWKW1bc1S6OdKdOB/N95449ytt96q37zi56/L6sQgGmZxE1UnbgT1T1TlShPTIRDz0cl5wUSUtqF0XYA57/Byshlhyaiu/o4VsPr3p9Aj6tU6FUDqZXoePvVzKZB9cE36w/pU14rU6Zu3dfq9Umcf1L2TAAmhWbaFaUglFI5t1O+9Xa7jS1+z7cRJy/5H+6PdpL2n615tv350bMn+z4b+3/PNu2QiPXGjg+Fb8r+wH7YibN34B69qxp9HmcxC9h/1h8UGn2X+L7b979eDIjOaf4frJUVeCKoRnk/LNP+9xxq/0nqm9yhZkUUQzssoamsT+Cln3sOqNQJ7mdzNFjDEBKwV1SNVkiDgxkeALKF8c9krVW5AEeiBKxIXYOJqRd+W9XOOFWDwcaumhU4W/QDxainYbODiZpHaLpoPYGky0sJsa2miV6Qhbr5+9p+z/7FyLZwAYRu20H9DsM3z9PrLLbHGUWhu6HKkftlurW7SK6j/995zN6NYVqzFEDvI/tP83zcj/YUkXU9j/2n+vy3jP+qfjz8L2f9+PebLzABYdwb/r6cCeEmyV4RMev3z97JaGnAIRUEAUkE00FBv29JxITtyTHL44OEBg6hERaiSCAkQrYs06PoVJ9XPG0+FNasoy0J+vv51V3/e7XnZvznJ+jEqIJOPgIau0iaUTugnj5L6aKKagpaAO2d8moAvlnznd8q2DeDly2Gz6imyNPW7t5E1FntJlTh8HMy9ifZM6vfbw1j1pu2wl+pl/yf1o2tGx+Cw/0rt/z133mX7P+95uhusoBFwYPxrxolC8DciXJFvx7+Qsshxa/+UjYL4Uh7aH3ryjPobYyyB/e/XT4IzoocJWMEB7J9PReYN+aBp7DRfc5Db8d+h859fEGDF+lr9NAugYrR3E8NF7FhuZLQFHhoQl8OiAQRGnmgWrmU5tL34Lx0FjBwkyytGl6mOYperEHzeGv00b51OBQBPL/vhE59Wv/Xqw20oXXRzQqGLUe12lUuHaHz2RqWakK3hJcb6LYKBckdYvWtFHCNXvyyy7wH8sYqept+2lCyXYUfZDWAHZ6fp5zJ+a+yv2g67Yv9Pf4fOX49htECxwBd+++Pz8CeNs5T+358KeC3vY1UT9N9PS5WJnaBgzIOhrv4Akc2qE0gQuBKQCi9yDKxOakmvfF3Gi8GrPUBMgMUr+fjmcIUp+gNgAmhS/7prrhH/rI9bBRKpYvyFWuQA+mozkNjqD0bRQUWvoEO/V5RCMR9rzcZLC8F9Uows11fKK21lpaqUlC8cG+Pp9aM8zvlpx/Rp+o9WxsKLWTcGrWXlaySOzkPN4pXQ/9N/6Sz1eAyjBcICV//Wx3cK//eTV9y8OlbP4n/3ie+6dV4IqXlAEiHXas6UD+ayoVDMgi3zAsh+w4rKALQaoEd3VcC0D7BDAyEoJaFo2/WHpF4/oIfkInugP+jt59Prr62v1Yb9H/V7hOv4L53933nle+uYjInRAr/+b39Ok3Xp/I+rxriSldrW/9kK4JHWo486svvuk9/14i9XZQYczRgviFQdOAyG5GgGMmaWCCRKKLRSMwBUQvOwNMVc6iYIVvEFaneE/lhxu+VboV/9Umejd+xs0jZWs26p6IoxhlbpaczsKkUuc6JQzW4pUYw8ZRfu/6h/W+3/K58ZgbX64JjofuPf6qffMyzj/KunAs4++2xN/rgLx2qzv5kUB3sCZQBCXY6KEzD0m6PUCR/ZMeCU8lI/gAnEyZs1MEPVWteX/6CMsiWkfmddmVRJlIgbbFw+33jDdQblM854OV9QuRAukko1cqhPGSQJVXZk+8+moCZLoo0yrRjxo/7ls/+Gm2+y/51w/Joy1mU0GSPCOP4yQnFYG2R+NskDvlqlJNoo04p3Fv/fcNPNdsI1a06I7tBGwjKNf/9Iq973yYrMIGFrBUi6XdAFiLmyBHRz1WU8DaYKutEZDZNBNPoWr+9TGtAVnaLYSoj+84lcNhGtR0nfBXcxdQBn2qDVoviuv2G923va6S/v2yWOstPgWu2H24mDlU5EngoNl4rd/0JSdlBcOV0QpZZTZDTkypqJUT+2lIV2sP1v0oRC5Jo1awI+YljS7DUe7b849t9Z/P/mm2/2+M/7gi0esNTjX5+8Ovfcc9UEEEKeaeBkDgSgxRpVK1ff6BGP0MeXwkYxZUGjaLkjr1Bd11BdulbAUayseL3y1LnSPArhNzz5TCwrUm42UZeAJtewfgOvmnj99deJPqu35b8i5A8m1CAT5fUzyzIu1ZVlgjoMitzTAIVE3VpeEzQzzDdfQMisn8mYcRS0DjopK7ZSxD/qry4azjHXbdiwwf635vjjR/un/w4dqHpe8TRFMO5a/nezV6zxBTvZt6EBst8ZF6souyPnv29exdutePIKe5fR4VKdReJEyFUkoJvpYEkAKqBZ2k3EjqTvtK/WmVf9MkFoAKUnB1jc0u+VrvTXtkhGrJh7nTcYWDsB68tLC1N/zQ4nWgGlgv9IXFC/JSyw9KU/xUKTrql8fhmE+MoI56jfhtvR9t+glQphzZrjR/uvYP+7mS0h+cEJ7VZATtRlmH9+QIBzrPyYIJ4PYBJiL1MrRQEcV+gBGU4YkwpTYJ9BQ8DGrCEgo6S5dEcWl/3gtEEWNh/TapGb+qJTZNBm5apa5aeFW/1sBQCs2Ov0lwtYLS/q8jmRrfmgt599nclahunsV+uw06pMKJzIjvplM7yqtfykjbI0zbu19r95g4BV47TmBK1YS5iUnfnF0N90LNXX8U7CqH/xxj/tbz+QweuWUBpf8bLYXz8+5/exnnfeeboZpceIhHX+WZaCcjg4KzHfB5cD+1aWYl3Fe6/TzXbLWWnSG3EDmnBCEG8pptCrXCf0kV8osHnbAeVgrQpqmWoD7DyDwKpX4ryPev2N1zk+nR/OSwWOUzoZBVeI5EKfoR8xanvyJzGoao/k0ZeivzbQdEn2lwlxahn12xJpzzTLlDhNvT32Z6XCEKw5QTctMPlo/2LhleV/N3tLSCvWE3QT02F5+18fEPCpALWFeYCjlw1VEsVfA2DxW++LAp7sxbKopCOlHwCQrvZ7WlQIGQk+oKfq1xUudc0XsVfIWuXOiQd5Fh0bvMGmtI6JBbCyYh2Evp2hVIU5c+GzrlRYKmY2Y/MpQ3sVgtzIFcWX/S2/OYPbZX3FUf8i2v+mW3TzSrZew6kAh2accnwWUb+VF82jfiywPPbn5hVhsCW0nOOf51jPO3etHnuXi8oJeUsMAAuw+NylQU0EaKCeQrYZ4ixAaQIMFGLcWGUCsrF+zeo8PSS4FB2ueIs+9SWlAG9uryLD0Fr0e/FD21T5hhuuR1N3uk4FuJFqB/yE0gqloEQuUxnDNwy0Jnhze7Xy0tgCsq7T5s0UnHwSRv1hh6WwPzctOKHC3tpo/7D7SvS/m2/WTUx1n62AnaH/Pm7Fk1cXXHChsI2VZAxOXMarqQVQfH61AJ+3A3LuZJyXfAV0kLXu2nXdZz/72e6FL3xh96af/Pfer0VBngSwJYS6roLiSFji0+lnj5Wmnp43r7AqhMnY0pI+UViySa11ax2VlP4vyFN5lRj1L7n960olz7HmQGU8GJ8klngY9W2vdcQwjr+tkZabN0eqrZRYRv+PUwHaa8/TIbXBpYHOJ7HEw2iHjr+BlVMB/G49enx5j4HkUES+869ELloBPx5g7Z9ZZ6Wnmvoz7qr82w9+p7v44v+j+7M//3Mkdi857iXdP/7jl7z6TFBGOpJiNJAvqRy3YkU8RT+nCeKNWVErgHVGwHqG9Udr3QMJkwBkNIGSXImaPEkwqKuS6TXKbGD+hMwUH2tdCkf9YVvZYsJWk+YOwxZjU2k77R/nF2PFOtp/5frfBq1YGX9WrDvD/Dew3n777f7568AFzQg5OZdXiRPEBk2KOC4FqmrmzOpm1yododK7WIxagNtffvxj3c+99a3dfffdF5NLdV/ykpd0X/7yl8WE6NiBZPsgf2jPNCO1VccH+wfFT+br1znW666XLJ1jfbnOscJXJnKTRN30IKZ8wGEqw6SQNj9IK2PDSMqo36ZszTPVthDFtKPsf/MtmlD6fl5Tblostf5x/AEFjeky+z+nAmjCcYOtAJxtStiB/rfQ+BtYOW511pnlLUFlKepjV1pFcgMpZoI+AUWVBziSVxG90QqRiXL/t77VHXmEfhpBtPPOO7879JDnde973+93L36xgPUrX5L9qSB5XqhGjnUrgXMH+QLtECwiChbQP3ncyotU85cRRmhtHwpCj2G90CMKujui5GCx28pr2BDtEAKsZ9SPiWUQvmgyNPZZLPvHcauuO17Auhz6w/+L3yxD/0f9cjb52U0+dqcrF06HZFgC/1vI/nXFet755/kyHNB0iOt6zZO4OcUxJINHuXqvfNkJxY8++mh30UUXdT//8z/fnXjiid0ll1zSvf3tb48V65cAVq1pBXABboprxzUZfcdKNprQj3ivnqUX/avcCFas66257rE6tzUfqRTB+g8OZNxUb0mlxcHWFjT8W59sBGQy40ZISxr122Om2j/2WLkEbCZUY8f5ycaymcy4YW5Jo/0Xtn9jsq1MNpbNZMaNhJa0Nfave+1sBWwxNJIzmXFTryVtjf6mqpMGVt5udQ4vYdEeZ+CMxMZf5ffOgFcjFOi/GI2BAroZHeL31qjKEyxndJn+e++5tHuHgPXF2gr4irYCVCvki8n4CEHBkWiAeOq3nCg22LrEOhlkHmkFWLXH2pwKMLuEBfamttJc6rqGuRZMzy8NyqCCSUWao0aykqN+Rqa3CWOJ6/SUhdPbav+bb9pg/zs+gXW0/4r0P04FEDh2t1PMP45b3XXXXd2Z/Py1gDWu0gPkEiUNmlpReoKo8fmyFAgxWYA6UvosiEj03ksv7S5++8V1j5U90fyhEU80V0EusKmMiKmfIjYhmKK+gcYTYCr0US016Hq93Qqtp+lUAPFkcFtdgKTkUDqsLlrSi/7CktRWXsqqZY2YSmsrIF0F9LHXU9Kj/jIcablnZv+bdH4RM/umBSYuYbT/yvI/PygiT0g/WO7xry9hOV9bAbMgqP8EgBzgdyYQQotS5YA/3bBSWdzdV96oK2+mnjzcEFl+WeCS92gr4GJtBehUwJf/8SsqFDiqxxVvfBNMFVMGJUV/v7fqVnhfNtrkO2U6x1oeafWKNfSHYGaWhPQZCJVUS9Dj9kbxkKFyDSvC6r1a9yAqJmvGpg4yA75aosSovx2lYhlH1UqyXUPHkhP2j2M22go4XlsBdVja+mH+VozZxDLavzHZwECt/bZs/6xWY5u7rb809o/zzLwrgK2Apdc/VCmM45FWr1jPPFPHmbRGBPgEnJu1PGwfbcWfZwFCjkVpKZYvf8ZsdINflITGirWsP73H+o539FsB5qVcatizBWRjaIkjxIq3yJG6LOHGxBztY9kq6vXX3YAQv4QlpKQsFzdiVU/trXPOahreUDvvk6bFirMUKd9OxLY8pDUyM0msto76F8/+8fKNGU0o3hVQRnm0/4rz/1s26CUsmqBx3Kq4wjLOv36PdW28jxUosH+yilQATEA3A2ZBGtL888mBYAte0U2jgi7kL7nk3bp59Y5684rpNcv1/eQzr8g3MMelPvpZCVs1acTFRwH12GNFl/dYrb39oEJpuONSNo9cCIrmHf9B3wBZW/nip/+t7EHxPEVROo9cCIpG/RP23Er7T795Nc/Qo/2xwDyz7Dr+N7x5Na+jSz7+9VTA+eefr1f6aTUogGNRCKZwtAqaHytVHjqLRrFoQ2CuW+1yZQA/Nd1QBiADnuK99L3v0YMCnAo4rvvSl78kpthioJfGSSqUbYB+patNBqG5MQ25Ku/150MCXXfd9ev9kMJpp/FIa6+/b4hkI7+EaF+2MojOtaRCqPrFlu2yDpW7XfPqjPqrSTKR8SLbP7YCdNwqzy+m3owXWX/6W1WXiYxH/bZAmGNoFOdaUiFsz/yre+2TT+Atk/0NrLfddpseab1AwBn7l6zEvCYVEPboVCygKFer3l+l4QCb6ADgbGzG2t8uZY9VK9bjypNX3gOQzHb1S3VLBgQTbYuOognxKiqgXMrqOVYeaTUDksQn1I/2Q4ZZhZQ3YVJ/X+SW9NloWclPlokMiTDqr7ZYavt7pSL750tYllr/OP47h//zSxLgz3EnHKdPz/z4XKb57xddc9zq7LP0gIA2P/2T0HJUY5wa5cUnYKlreJyWkKs29kjjFlcgV74DIPZg57pL36MVK1sBL36xnrzSitUVkS3wk658NwF57vbHnqvKtBKG5ldnEXPGVb9fjY0izHY38OSVMmfw2kCZMAKUTBcSEWQ+in5yDoV9CLRmVnGRYx59SHnqTw1RPT4HAiPTf8Iy6l8U+9/iFxzn3eB2LHrzj+O/6/vf9C2h4gPLMP/8omu/K8B7rHHcCjAlsDLN0K9iWRFCX+3VKTehABpOCTgAmobjue73Lv297h0XC1g5FfCleKQ1wBNO+Kip/4AnoC1ZXiMjQyCY+g3gALFX0NSIm1dzAtwzOBVgaY4ssTalrF6jpP+Mlqb+UrnoBzzL94eb1tdqU9HWUBb0kFmqlEyuntqapEf9YYUY/2KQ7bQ/Ewo5x/nm1Wh/ZtRK9H+2Agg+FbATzL9684oXXfuRUo0KOFdHx0kPl73Wd7jLJiwrPWOikWim27xpc/d93/993caNG6nVPfTIw91jGx91+vAjDvdTUwcedFD3D//w91qVCr4lZxZgRjwfVjxdv8GVlaz4ZlSP37wixI8J0mDqRwSdULNKVJAzMUvQVfRHlaYWPCWAtoT5Kgb97xUGe2qBPuovX2Q2Slrmmds/fkywPHmVYsP8/XCM9t/l/c8PCGic850RuEB1h2UY/3rcihdd0xLwLVaVWneSpoECPC75KeSsa17q0/iaFs8mAevBhxzcPfbYYxQ5AEl0MMMhBx3c3fXNe5RFskJhQGfB56Dnp3T6Ul1S0OWztioDWKk6eKQVRamQuIQkO5uNqeVR6s8BY9bOAVqgsGdLxj4e9VeTD8wNdUDgGkSkBUwc5OmFg7vByZKxtU8MB2WEHaQ/hJXP1JvxBNnZUX9YZQfbn98+Y11mYN0J7D/z0Y9+dO7uu+/u3vqzb62g5AUarVSg/16ZOs2K0QTntN7IK3jxuUD0cGR62fuQ6nFjTG/C8hVfkR2zKXVYpI1TlLqYbYn5+rXHev0NKi9bAXWQ0D6cSNXGtEfAPGCthU0l0ejjkE9E1aVB88tUd8A86p9mVvvDIth/eDCc0R/tv5T29yTdCfw/HmmN1wbuFP3/2Mc+5t+8eqte9WenFAC1djIGigCNBsfqUbGBBkoEX6qLi3ICq0tqxdtTlWZ/VLQoZ/UZN68C7KDngwelvqWgz2IigRjlkXzdQivWUq9GMM8LRaiEzQPb5C39sLYpMrJZye4Y4mSYUle9EJcKRv3P2P6Dmxaj/Se9LybLPOqu538+bqVu5SOttcvLNP+8x8prA3MrIFdkBjAtL8sx0wIFarmXrIELXJa3T2f1nRFgCUcZPp8qKAWsF+MXW/ORWHFIR2AuQMMGAbUIbEWE/sjzyQo5LMU5VljPmPebV8FHfSTBnTElDgNCk1Ey+z/JGlyFN6tknMw1HnCP+mWXgX8P7NZklNxW+7e/zlnNXyyekjOu5QNCk1FyW/UPO5YaQmZKzjhLhw7RlCo56h/6Slon4pIbEm3WwZbQTjD+9VQADwhs3syvXgFIrFoDkrSOLEeqYu81j0UZtri00zGoWQGguQONtRArgAsqOxSziB7y2V+NqRY3j1TuvyyPPCxQ2N9Fgvdhy6r3RoBV6dPLAwKhJz7hDelJbShO9vnSZOt3pSwqcWZTEnHQFmaYX6ehONnnR/0exjTqvLi3VD8CQYvPDXq7Ff4Xz4gHz/w6DcXJPj/a/5nZv0yGfnDq/GhJvb2Dv8/vKPu3wNpLzzY0FCf7/I7Sn5qILZ23W/lF1zrHGmDKmlEpQE1afcnu5acIoJW/UlVVZYZH8pwzVZ56vqR3faVzuUs1ekCQYK9iXeYmmOwUYkJq1e+2iEoT0O82KuZ9rNTxcSva5RyJXmabhINQS52ouaYwacSEIjOXElmsEidrPhMZJwMy+lBLnai5YBjQyBBG/bb0AvbfoIPhOJR/6yht5VimmzAv1qykga0pURjQyBBG+2/J/vpOCxNVy1ZCY2wb0h+11ImaC4YBjQxh6+y/xXdGhCB/Vo0DXYVhQNs2/X1nQ0M9FXCmfkHAvynlfgRA1k5Jb7BHA3rAjSe1DKpiiPe5xuqSTz/vLyBldcsvsHoQlPOxLvLoEsDO+JWAJS8aq9hA0l5fMNOQQNgb9PPXgPAZZ/DTLEoBHW8AABnTSURBVKV1yGtCtBMiraEdJYg956kK1PBSP8unxNM5CnXUjxHDXRrbLYX945hNOW5VBzgasRT63elx/Jdt/NP+9gONf7vHupzj7yevbr311u7cc881EEZjeE+KNgGEG4ZJOQ4LTOeUgMeX5aSFjvx+Fbwcb53tNgVqGbGUxOlEZyWLCMAwipQKoSFLZQBurHKRj0wg2Yorr+VI5te/fptXvocdcaRlApsG5PJIbdw8o80KoGiRkyAakmMmosGpUGUML+t2aiNZ/4LXBH3QLVbe9J8+jfpH+4/+pzkyzj9DTX1AYO3atQY4wM1AIjAC3OACROb4xUAASpkE1iijkCLRQdYCYvDwLx46YNJFPQNwAVegarPBVQLgVVT1qxUBvII45POOV0EZOuD++q23Kt91hz//CH0qkIHRCQgKhZarVZciS40ACClGp1fOhR8R9L9+isliRXMNMyQHlUoY9Y/2H/1Pk4GJUEKZEytx/g1OBQAXATRKKeFfY/VKE3SRsRTlsSrACFC07ZSJH3Ir5aziVOYqRi0AGk4FO5/Werr892oWphJSv7NFX1Vc9cdK9ka96Jq2nqGXsIDlAHaqqPVJWO1E4UTW/LVStnOibqnjKNOK4R71L5/9N/CuAPnYCflWoxxMxogwjr+MUBzWBpmfTfKAr1YpiTbKtOKdxf+91y4QqL99RhsJyzT+dcV6zjnxPlaDhK0VIOl2qXWAoDFSbTVollVfWcC5Dwm60RnxGUSjbwZhCcsntSiKS2lX9QdyedzLepT0doNL0B+r5zj/yk+zrJeamfJIa8jAlvMANopUn3bwET2KPBUKA5GK3f9CsrymuCZdEKWWU2Q05MqaiVH/4tg/HmmNvbXR/rJxuGW6XY13df/jVABdn/cFWyyw1P2vP83CHmugjJrHarOCIJfevJBLsbAtVrFAFEBLVwBQMUfLHUmAGAFDoC94kG1wFKulSdjMzOqgIV2X+PyCATysfn2zK6QP9Bt4JZJHWsUVN6/cCH0UgDNC9hlL6T9oD4wZR4mbn/UHRe6paoiYqFvLa2JCXEPvFZdUlmU86scC22v/DRs2qK7ebnW8fkEgx29ibIvhS5R2zzjI26u/Kh2IG2SG6mvbhjyjflkyx29gmq2bf/le3rh5NRCwLPb3zSvebnUWx62MN6V3XKqzSJwIuYr0c/vyhrQFyEKOf3HjSRVVSBc5h8r264weaZ3VrwdEnQDfISKJW5PEK10f4Wqko0sNTP28jxXZbAVESP01W33eOgoo2oHNotrRYeVST+h38QJf/ehsuGsaHdF/1x52i5aO+m24HW1/nhEnrNHbrUb7M/tKaB11BfhfHLfi7VblZ9CXuf9+QIBzrOeco5ewaFjybnqAo9aWHIVSI2PInAjQYPzKyjZAQ8DCrCEAWCXNpTuyuOwHpw2y7rQoA+SmPpWpnuAsHt1ljAmDy4R+tgzqi6558sryXNUfE9laHPT2s68zKcQwaTCcAMxpVSYUTmRH/bJZGT3FO9b+fvJK47TmBH7zKsJo/7D3pD1ay0/a6Nnu/+0TeJN9y/yS9p8fE2TFymsDN/OiFKFf+5gqsAKwAYhcchnmFOsq3nutHhC3mJUmQylugSmCDLTiLcUeZ1acGfLbFRJgyqU9f8zCWgZV5atFyEMHLCavv1Fvt1J8Oi+6VhxgHnVDPkQF6a/CgjLvM/QjRm1P/iQGVSIkj74gzvpSDHSl/WVC3NBJprwkT4lT1ah/2+3PSgX7rzlBK5XJcRntv2L872ZvCWnFegK/0uqBL9HyzP/6gADvCgAwwAEmetlQJVH81dPeuBF7pQJPVqwsKpt+AECTvxWIQPt8gg/o6RdXQ1VwYR8DpDNazc6JB3nmYnXrPO3jfazXu72nz3tXQN/OXi4CC+JZlz+s2h+ZzRhioh1J/Y925KVW0dHyU8dh1M8XcfUJEo0tw5gThstsxtixqRPkxq4SYh0quOkWXnQtYOVUgEPDl/IaWTtaf3S0qB71ywLLY//+kdZmS2g5x59HWvlplvPOXasfCJSLyglnAEy8VWBksDWoiQAN1FPINkPkAYEgwEAhxo1VJiAb69esrlthkouvw7XKAEt9SSnAm9uryDC0Fv1e/NE2Vb7hhuvRFL/SWpaQ8BNKK5SCErlMZQzfMNCa4M0VaeWlsQnMVGrzZgpOPgmj/rDDUtg/XhvIuwJO8GiP9l+Z/seTV8w/bl7tDPPPx6148uqCCy4UtrEqjEkRl/FqagEULuEBRFofu545eUpcLnk3b3qq+/wXvtBdc/U13d3f/GZ30EEHurNrzzm323e/fcQMqEoPirCEUNc45Tz6Qt7T6WePFdb6omtkQZiMQ1yhTxSWbFJr3VpHJaX/C/JUXiVG/Utu/7pSyXOsOVAZD8YniSUeRn3bax0xjONva6Tl5s2RaislltH/41RAczqkNrg00PkklngY7dDxN7D6N690jhU9vrzHQHIoIt+FVyIXraAgz2bx6wIAIq3hH3/sd3Ee9p/+6Z/FYSoMNviRRx7V/dXHP9F9/0v/peUi3XuqziFfUjluxYp4in5OE/hdBtbf+eYVMthjjbUmldwgRUqTbQIluRI1eZJgdFcl02uU2QD/CZkpftSfF/9Lb/84vxgr1nH8l97+zIGdwf83aMVKS3zcaieY/wbW22+/vTv3PJ1j9bgALjKV9wAKdIjuxSpFHJcCVYVc/Fz2Kh2h4mlXUOvXfvVXu9/8rd/qjjjiiO7MM8/sDjv8sO5zV32uu/baay3oBN1g+OIXv+jLf7YPVukfg8LqNM7HWnV8sH9Q/IR4qJ+3W+klLEL7M17OS1jcHOtoks5P/RBTPta6UPkAmFuhg7QybpikYBKFtjgoUz7FNOpPMJ5un7SnS1ujDtJz3c23aELpAih/66gtniI5SKP9dzn/41QAU/C4wVbAAh6wBONvYPVrA/V2K4eyFPWxK60iuYFkuKAxBQAdQ00v1jcEQPGZK67ovvrVr3Zv+dmf6fbYfQ+vfuntma87s/ubT/+NwWfDhlu6F73gRUoDqZD4JNaxLLYi+qVwKFhA/+RxK39J0SCALkNtHwpCj6dzoUcUdFpAUwZfdq28hi3FVxTNei0/TNShOY5DwKg/9u2LuRWFXbbX/nHcquuO193geKx6HH9cz2EF+d9NAlYAicVbDcvY/7piPe/883wZ7r1NWuaVmGBAcby9CvAUObdHAZEpIev7+JRZ5rrL//Ivu4suuEBTaKb727+9sjvl1NM8CSzCwKMP37HCNkVu0Y8Kr56lF/2rCvLxPlZC3WN1bms+0trizWTGTfWWxFdAbF2o/21Bw7/1yUZAJjNuhLSkUf/C9o891uYZ8caG05ONZTOZcVOhJY32X9j+jcm2MtlYNpMZNxJa0tbYv+61a8W65dBIzmTGTcWWtDX6m6pOGlg5FXAOx620x2mcA3Hir/IDKLzsIgqUUdIYKKCbEdp6a1TlCZYcl2Ivlhof+tBfdD/xEz9uWX/3d3/XvfSlLw2QlhiCI1UEjFN/4qvLKaPEOknzSCvAqj3W0/WAQIt2biclSIUz2mmcrpTQGaXDtCs0dSOPkKayiYXgqClUMrC/p9GXUf/QhL11hvSwd1salIXsf7N+QQD/O7554ma0/8rz//gxwTh2t1OMP8et7rrrLl2uv87A6gVpAblESYOmVpQGCPl5viwFQkwBIIqUPmFyzFU98DbbXXjhRd3ll1/e7bf/vt1dd9zd7b7H7gE0ZkUusKmM+FM/RWxC4CK+gcYTYCq0TDXoer3dCq2n6ZHWBEizlw+31QVISg6lw+qiJb3oLyxJnSarljViKq2tgHQVAKa9npIe9ZfhSMs9M/v7R+Rk2vYFx7b0aP8V5X9+UETzPP1guedffQnL+doK8PtP5ZC+78/5UsCntJAtANaKOv5fbj7FKrLexYdVQGKI5N2ppf4t2lP9wf/lB7tNT23u3vSmn+z+0x/8QcCc+L2fio48CUAJcoDXurfqVvgGRciMXy24QcAKb6xYJQt5BRwnMsyzSqps6HF7o3jIULmGFWFtV8fkkzVjaJXoTHyU8sqmxKi/GbK0mQ1UrdTbEhJhwv5xzEZbAcdrb20c/7BR2rLkHBWTVssqsSv5X5xn5l0BbAXUXvYWWOL+1yevuIvP26UAUgBss5aH7aOt+PMsN5ZEj/1TvJj1ZXSDX1Rl5cmKtaw/u6eeeqp7xSvO0GH+G7tDDjmk+8pXvqJzrQcZM3l0NB5vRQ69jhAr3iJHRVnCjYk52seyVdTrr7vBk8zvYxXFK96cWcWIUVn1tHRESx+SoadMpsr3SU9WldYR2/KQ1sjMJLEaMepfPPvHyzf0Pla9hKUi62j/MMUK8r9bNui9vJqgcdyquMIy9r/fY10b72MFCoxCrCIVABMAyoAZ17ZOCy4MsAFeZm14qLuq++mffnP3/vd/wIV/qa2A17z6NQJnZSefeUW+gTku9dHPStiqSSMuPgqoxx4rAO8VqzW0H1QoDXdcyuaRC0HRvONPLXK2oquo+AKZUiTSPEXBNo886vc4PQP7T795Nc/Qo/2xwDyz7Dr+N7x5Na+jSz7+9VQAP389u5lL8NjLBEM5WwrNj5Uq7z1OASOr180apdUuVwbwU9MNZQCyeC695NLu7e+42Hj4H3/33d3b3vZzYmK1C7IqmRXKNkC/0uXlLVrhIAy5Ku/150MCXXedbl6xgD6t/Px1iusbEvXRRYjyytXTWpLT+spI/dRTQ73eoi0qd7vm1Un5VVFDsKpRv8wwuKpIU82z5bbZP7YCdNwqzy+mvIzD/KP9F8n+Od+quTOR8RLZv+61Tz6Bt0T6a3dLwsB622236ZHWCwScsX8JkLAirY+eunGlhiLKvB0AKBIK6ACAs9qM/ZM//pPuzW9+s4t+9md+tnvPey6Jy35AVeDarn5hsmTJMHJZWOiIz7iMpC0G5aK/nmPlfayua3V15WmZSGbJTXkTJvX3RVFren6yTFyQCKP+aotc+Ye19LnI9vdKRfbPl7Astf5x/HcO/+eXJMCf4044Tp/5Fb74/rfQ+PtF1xy3Olsvumbz078KIEf1ilKTgvUlYMk1PE5LyFWb3x8gdImLdurM6u6/zqz+u4u80nzD61/f/RFbASGsVCQLMEseS2DrivcQxJ6ryrQUhcevziLmjOusaACYw2x3A09eKX0Grw1EiAOUTBcSEWQ+3HDSJRT2IdCaWQxFjnn0IeWpPzVE9fgMiW06lSiGPOpfFPvfwm9eaazibvBo/+q3jfutBP+bviVUjLAM82/ms5+7eu53Lrum+/z7f0Xuqaef1Ja4WAcK3CK3rl/F4sbQVxtwuQkF0PBilquuukr7qK/uNm3abKD+4Ic/qPeo6udX9C+4xGeQRWTSVBsaoC1Z6OdGlVfE4iEYwAFiATcB/dy8mhPgnsE5VoXgLG5VMrl6MUPzEcWpv1Qu+gHP8v1RhDUVa1ISzFgJo/5iCn/pLKH9mVD41nG+eTWO/1LbP2dAGXKNhMISjn/qZyuA4FMBy6B/sv8zay787bnv3H9Pd+eV79VWAMAlGDRXskKyuey1vsPtlabgTYzGRCPRTHfySSd3N/7XG+lfBK08XSRRgCBPTR1z7LHd1772Va1KBd+SMyta7KdKhxVP129wZSUr5hnV4zevCKcJWOO3t6gvQmkqZTWLfjWECRjELEFX0U8Fh74sKYP+i9ioGPS/VziUBH3Uvzj2jx8TLE9e5dCVgavZ0f67vP/5AQGNc74zAhdYzvGfOfas35ibeeI73T9/8t1uCSAXq8p4g5WhVoDHqVYQkLOucdyKZkMKgAVhXvWqH+s++7efNT0/AKHgDMrResvV//f1W5WJ1adRSgzoLPicVSMu8lmlostnbVUCsCJ78EgrilIhcQlJdpYMoZZHqT8HjMHGZ8PRE6elsn7GhWeQJUMY9YcdWusODFWKFQV5euHgbnCyZDzQ0GRIjvZvDMLskkkm7FYYtmj/5HGc9TMuhYMsGcIOtj+/fSYICWAdKEz/CbXuzCLot/TUq3jmJef/5tw7fuTY7kI9IODOiugFKq1UoP9emTrNitEE57Te82BA82qwtNo1VT8kRNkcN8b0JiwGz/unkmAG14VmkTUmAYltifn6tcd6vbYC9M9bAbSpCUWUKTWNPAHzgLUWijXTiqM/rUARVRee+WXiGwjtRSEhxbo/o/6hqapxGkNNtbGIC9h/eDAcizc2b9Pj+O/S/h+PtMZrA6e51ZLPv1/6Tx+ZW3PQ5i5+/lpOKQdscUJZAwc0klkOSNHYDL5UV80ETVaXVPRTVEhkf1S0KGf1GTevAuyg54MHIZPahNTvRFFJ2XULrVhdq/lIQQ1JUpULYfPANvlq38Q3RUaRkNwR9+bo6VPqjvp3nP0HNy1G+/d+l6kV4n8+bqXxz0das/vT5u5SzL+ZD378yrndn3qo4zevwJtckYEr7F2WY6YFigoDrdaAcVnePp3Vd0arQ+GouL3iLBf9qqJLeRXwHlZudgG7LGEDcyVQWegR2IoI/VUudWigAudYYT1j3m9eUYoMS9dn5qCXEMXzM6Jn/ydZBxKzfsbJXOMBd2lNLZxoUCNEyVG/XasaK60zsGhDbH+ds1Yax1+mWFn+P9gS2gnGf+Yjn/zs3OaND3Q8ILB5M796xYAAegFJWkcKBqHEPigvQfF+KBSlZ3QMalYAaO5AY69KDbh5ztW1JVflIR+oDYCMm0eS5b8sjzwsUFr9uad7I8Aq/aeXBwT6STWBWy6QvKIvmtLnS5P7SllU4szOl78ww/w6DcXJPj/q9zBut/036O1W+F88Ix6j1Fs3R62hjPaXwXt77Cr+1wJr37tlHP/LP3XV3OxjD3Zn6RxrgGmsJYVZAYR5zCmXUo7VdI2I4ZE850yVBwR9SY8kCagvaFH/cosAMGTf1Deh2gEWjWxuHaT+CrUFi91GqeR9rBiw32Mlp4JATsXDZBCaUrNnnVI6oJEhFJm1/4WkaMBe9TYymySSCJU0rNwUJgcxYdRvqy1g/w06GI5DrTk+3xWQ9pPpmqRN2ZJcNsEwoJEhjPbfkv37KZy2zFima5I2ZUty2QTDgEaGsHX23+I7I0KQP6vGga7CMKBtm/6+s6Fh5qMC1jkB65n6BQFWmdGPAMjaKekN9miAV54G3HhSy6Aqhnifa6xu+fTz/kJISdOqQrHbyp19oSR5bMYpAwHzrFa+zovGKtb7A9nf+rVKQwJhb9DPXwPCZ5zBT7OU1iGvCdFOiAH6tVjsOU9VpLaU+k3dyeR0jkId9WNE/7V2Wwr7xzGbctyqDnC0Yin0u9Pj+C/b+Kf97Qca/3aPdTnHf+byv/nc3JMP3eubVwBhNIb3pGgTQLgBJAFccVUfYAmPtwPgFxrGLwywCtX/blOglhGLqqovOitZYAgwjCKlQmjZWqC+eKBJMXux7Kdav+olr+VI5te/fptXvocdcaRlGr6NliE/bp7FBDOKhlLLZjBCcsxE2uUUCdLKlHV75N2K4DVBH3SLlTf9p0+jftlhtL+cZ/Q/ptqKn3+X/81Vc5seub9bu3atAQ5wM+hokgBuoCAgMscvBjJxlElgjTIKKRIdZIXHdYBEwBMZTLqoB1gDxNSBc7PBVRl4KUv9Kg0wFcSJjn7vtqoc7q/feqvrH/78I5RTsFpKSJRQaLGdYJXxZaFGAIQUG8ezimJ00f/6WWjUdg0zJEcqMntUttRCRy79jpohVaLzYQGKR/2yNIYgFFundT0KhTbaf/S/Z9P804pVe6yPPuhTATh0THSllIhfTo21W6ACQMDDAuqiHB5QZE74yFIgUpSzilNZTAw4AlyZO0Yu1nq6/PdqFqYSUr+zrkyqJEqUK9kb9aJr2ur3sUoFgO3GuHKpRhr1KYMkYZI3qMOCylMSbZRpxdH/Uf9y2X8D7wqQv52QbzXKsWSMCOP4ywjFYW2Q+dkkD/hqlZJoo0wr3ln833vtcsI1zU/0uF/LNP4z3LzatPH+7pxz4n2svpqztQJE3S6ZDxDMlYVBs6z6jKfBVEE3nFnDRKECxQZhJfKuPkVxKW0WfyCXdwFaj5Jx+oAi9APOtIHzr/w0y3pRZ8ojra4e7oPK0p6gljLRAe7shNtNUcurYve/VFxAVPG/KG37b8oClUKfCosRR/3F9M/Q/vFIa+ytjfaXTVeo/3EqgK7P+4LNuczUW8L5P/OJK66ae/w73yoPCODlagGrTSUDBFmxskZVLGyLVSxNBOToimrAXJCCyCtUAYiPUiHPgTwCANTYZpjhBS0GTC77+cUCgabyvITFN7tcD029fgOvRPJIq7ji5hV8qKH5DoNMEifKhjxuftYfFLmnEi1iom4tr4lRf2OKCWMsqv03bNhgP/OpgBy/oTMsqv7qdMvU/1F/DHq+l3eLbzmzJ+RAZRzusaPnv18beMcdd8RxK9oIeBC4VGeROBFyFQnoZjpYEoAKaJZ2E3EOla3WGT3SOqtfDwgNEKxQHEVnAS+vdH2EK+lqlnre6uR9rMhmKyBC6q/ZXmyRixob0CyqvYB+Fy/w1V+6lRJqywETelZb3DKO+sOvFsH+PCNOWKO3W432X7n+F8eteLuVfvuMsMzzb2b9+vVzd955p7YC9OQVwGCwYdHKylErRY5CgUGGDCei0TS+rGxjJSdgAbUIyChpLt2RxWU/OG2QdadFGSA39alM9QRn8egua0wYICv0sxVQX3TNk1eW56r+mMjW4qC3n32dSSGGSa9QJwBzWpUJhRPZUb9sVkZP8Y61v5+80jitOYFzrBFG+4e9J+3RWn7SRs92/2+fwJvsW+aXsv//PwAAAP//rqQ8hwAAQABJREFU7b0JgB1FtT5ek0BYAwmy+yACImR5CILKviQBI5tAgBAWEXBBlii7CLiwi6BPffITH6JPQUVRnjwX8MmaDH8hAopJEFnCkkhAEZCwJCQz/+/7Tp3q6r73TmaSmUkgXZN0VZ06dU7VqarvVldXV7dNnjy58+mnnw4TJ04MCzsWhtARwoABbaGzszPQdeqvLQyg39mG5M7QBr9tINI6yIP/9NqYx3K0tQ1AAJwkgDcmMzF0RLkMt/ECR1Ib81M5/jEhpZGK9IEgdCAN4qA/hCl3T5Y/ZuzYpN8USSSlWkAZnNbcN/3MYXWTcicaFSTIY12i/lRA0SEX5WewRKe6Wn9mExqk0bmpF8f+06dPk91HjhpV23857n/TZ8wQjowaNTJ2sKU7/tsIrLNnzw6HHHKIgIo4wI4O1MSAIECyu3NsqNsLNzo9DYjXCRZksU4d+RYiQ6IxAIGS4eBD9IRsB++owGSAn0DaBh2d4DG9lGF5TFxHmDJligHrnnsiMXdFOQu5FKgSRR0qTZHJo+4zxUc7g/if158UQLD0W0WZwV2tX7ahOdyemS2N5gnRZh51X3kRiW1m5Myumf2nPTRdTTByRDGg+lN/3f6xDZOXtZO3Zx+2v9t/+vTpKsHIkSNsbKoP4RLxx/tSb/c/15+q730TANX51FNPhYmHTQgLyQUjtBEwWSB0bM4ODUhBII2oB+c2I7GDQCkCGZhI49oskyBr81fP3hkGQC5tTa4BAljmhxQOJPIzzYLIS16CKnzQVDZkbm+fIlVjxgBYWUjyicKQO6Mz5iH3naPwrUMwHsWlPCosy+aOhfe4BJpUXukKTqOT5iH3SSu7Wj8Bka4n9p8+bTr6RWcYNXJU3f6xQy2P/W/6dMxYUf+RI0cuE+OvjcA6c+bMcMQRRwLbCGDWOnYbj6JGAOEtPAGRpddyQGzE5An1Qnhj/rxw8y23hLvuvCvMefbZMGTImmH48OHh8IlHhDWHDAZ7BEoqoiWAusIpxanPJC5Kf/sULAWAdczYOGOlLBKqvomL9EpijDo15U15kBLr35In8SJQ6+93+6eZCmestf373f7e/dPY8YHivjMo7sTol72i7CkPGLo5/vgDS96RI0aU+0GShYD/Ynthe1G/i3RfwMo11gmHHioaZ6RptoqyEFCFpzZpROW5Eoo1V3RiAiKtwT/+mzbtz2H8+PFh5swnwSEqGVTRtddeJ/zqf38Z3r3N1ur/mAuDA0IVQ3aAetsALA9wRswBAqX0XH8Hpr5c+zX9IRiwtgFYx0qTcatA4AEfM2eOKcmupFcJQnfKJ2PyPGrgX5FJMXSsaa2fxul/+xNYaX/OWJeG/rr9l43+PwMzVpaEM9ZlYfwLWJ988slw2MTDYr8kqqCrEoXiOKEvcGUSAK6NAAco6cDDrgEDAYZ45kXUuuD8C8L5F5wfttpqK8yAjwgbbLiBZq7f+c53ILIzbLPNNuH3v/+9QIjLBwPwx0HBNMmkSurkxZZ3EWG8qh8PryZPAVtHGLvnXkonGEZWDxqh2ZV6UF4DwyYMLEOUp9Q8XgojIsMU/HlyE8lGAlOtv3fsP/0hDCj8Po+MDy1q+5e7btM++Bbsf9Nn2Fr78NJSQNPaCy/6evwJWGfNmhUOHn+wlSLOCvmUno/h+QDJSoJrBED5pHovxgyRBb3j9tvDs7j9PxTrtQKtOPs8+aSTw1Xfvkot/o9/PB8Gr4YlAfBbdl6ZNADqMEKKqbApaKGfM1YKGMOHV/A1SWWBWG53FM2ofF4YRMki3TyjixHB0mQ3l5exSZAJS/Jr/TBFbq+KfczovW9/Dii27wgA69LQ7/2rbv+l0/5u/2nqB7hz4e4QdxyzS2n8pxnrxMMn6jacoCmnmRhgCD5nl9xipc4T794Tn1ci+k7X9imJ6gzXXnttOO7YYwVqjz32SPi3jTbWIJAqVRwXPbHCGKnop1iCNmcl1D9AheCM9S5pTGusUf+iPbc2BeN/Mnw5pyeRyp8A/lCIlieUs3QzlgnwoPuZhJxU629tf1tj5S1gNqAyOzYGM8t60P2MOSfV9m9t/8xk3QxmlvWg+5mEnNQd+6e1di4FdOkyyR50P8uXk7qjP8uqoICVuwIO5XYrrHEazkCs/Uv8xLZOzQYZwH8wCgMBdG1tgF6SkO5gye1SXIulvBNOOCFcffXVYZVVVw0v/POfxocEzRyRjqwSxvyu3/HVkqxhTSfDANYpBFassWa7AsirclO2waCRVDbTw7x01NksrMRSqlEaSVGCvEwagob9BU3mgrKC0jpc66cFckt1bf/p02ao/41wYK3tv1z2P+4KoOO2u2Vi/HFXAPexjj/oIAGrJqRAAoKco6RAEzNKAQQKrwdM8ZbdhgAhiiFmcZ87BOaHb175n+Eznzlb9LM+c2a44IsXgpPyo3jGCM7MD6LrpxQuQhD+9AAL+m2lAJwo0JR22xUwGrsCqL3qHMysXM4BqWZ1sFODlVv6I4tTc3kuK6VlYhItz0DpSGAdCz0xXOs3s/eS/afh4RXNrIcWNHF0tf2Xr/6nF0XQE7wfLO321wsCnLEejqWADiKo/mGuyf2lihhCYFKKGOEPD6yQZluuDOQiPgmzbrv1tjBp0klh3rz5YdbsWWHhAjzZQs//zJlnhy988fNq7YQ3eggG+UJujgikRP1AecQZUSm0FGBl0pMy7GONa6yasRqrykExzFdERHFSSqFoqFNZxBFT5CWuQhZJdL5Aa7FCVZ7FlTkP/Zie2BCo9S+5/W2bDZYCRmApIDVmsnLRArX9ZZ9kmbdY/7P9zAG7Q7gUkGq51No/vXnFbVIDsBRAICOALcT0MH+1VcucBELQ7ZafvZjzS6vGADBw5nfDDT/F67GHoxGRzp+N6DbeeOPwta99Ley9997CTK7ZciZqo6HgsxkvAFvlMNkUwQcTnSwfp60w3JTJ7SSGsZixmhSXpeRMLPKhLGnMUVgzw4teXFg0m3FGGuI5EObptX6ae+nYnzMV/uCPwhs31ujwvCj0Eanb/63f/x+agX6AAWrbrWJXWIrtX6yxTjgU3TPCjzBTpRKYsKMa0Fk6w/yz5QJ2XnPOMx8vCSxY0BFmzXoq3HHHneGiiy4Kz/ztb5J/6523hx3fv0McA9QBmZQvYOamAMRJwiyW2ghmBLF4iaBua6zUrzVWU59do1wKlpSY5FH3PR3xhu0XOXJmkj2o+ueyPUG+K3A/JnrU/Vo/DMMGXnz7N3945QZ2v7Z/824Z7bME9o+WrXhud/f73v7lh1eu1/2+1182ALCLa6zcx3r44YeHjoWYDQLgOCkUvmGGSppeK0X/J52TRrBgQaAzDFQ6IjY2BDO2/go1lMEJJpIffvivYbvttg3z580LBxxwQPjJT35iOIl8vgwgUIYEvjSQ1jwpFwIK/f6SQAiT8fCKE+jRo/lKq8am9DtWJb9k07KhFctJkZD0I6+XSzqQrllsQ55afzKJB9zvY/vbUgC2W/n+Rdfrfh/r936W1HnA/Vq/LGDmKBtFsZwUCYsz/tJae/UNvKVkfwHrE088oQ393PBPlOKf5qR8R5+IIhctAM9nqwJRphHYQCcAdthibOxv4MSUkwC48y67hHvuuTds/e6twu/vucdmuybYeKlGU1MKMx12tXk0XwbQqVkxLe1j5SutymvCfOYJNpDJjESmZ85n1hkpBi1XQc/jeThjZ7DWrzajKfrb/pqpwP5+CEt/62ed6/Znw8sS/d7+0or2n4ZXWok/w0cNx9UXplCopTT+29rb23UIyyEH4wUBTDHbOB1FQe32m9v2MakkWHbgYRbT4HzWxjVSe8RFZGEeA2Jbg7VbecpcuGBB2HLLLcITmBnvt/9+4Yaf3iCQ9LMJCHRcArA1V+QDEpOmo7Poc49rB2imBpo6QjvfvEJoLI8NZIHlSPFwJNEjmRcVnOHoInsZaMUMhihHPLhAuet3DZbdriYxD7sS+CTX+vvE/g/FNVZ7GlzbP/XbrPstD/2v+ZJQNMJSGH9td911l85jnaA1Vj7t58zTHGem7opZLAGT9IECXJ3Nihh3Ceyxxx5hj913Dx//2CfCBhusr/T5r88P55x7Tvj6174uUZd9+cvYNTAJYcohROE/wZOgDeQSNCMucI76BeAAaANu5rCHV50A3LHcFSBp8iQxZoM412FpfrVaZWkkRP0Ez/j7QUUtnJU1TzeZMUuM1PozG2eWNPNkaSQspv05oNiPhuvhVW1/ddnlsP9xKYBOuwKWgfqnh1c86FqvlAKViHOaYdGjy6ZqesIaF2E50xMmConawsZ4o+qZOc8IFDfffPOwBk62euyRR8MLL7ygHr/9+94fbrvt9jBwBcyM4xP+DsjWRJIXKW6uX+DKmSz42qB/Cl9phRsNYNUsmyinASqyLimKQAI5ET2FuqL+lK1IK0gRYRtVlOpf64fFoqloO7ckA31lf94Csv315lVSaC2Xon2oP+//RYVr/f3V/m5/vSCAdvYzI/pbvzp+6nCIXX/99Z1z5swJJ510kkYC8c1uyW1tlDNI3aqz1yCRe139Vp+FT2HUkKB5yaWX6BDqBbj9Vzouaw4dGk6G/FNPPTWstsqqGGRaYFC6BiJEU2fEZ6P7FTp1qw791KW9tkgjsHIMl15p9Yq5H2WUoozQJQCwVF1LjMbGa8ZREJuFPL/7kacUZYSu1m92yK1bMlRMhmfk5omlp8HO4n5JQxZhsLZ/ZhC7B206/sDVlf2jEPPc7u6XNGQRBnvZ/jN4yhn0CliXgn7VzvXCF7D+DVuhJp2M23NWFkRNUFlKOJEQtjycMZLHYqSyMUjj7Zgy4/rKq6+Gp7CeOveVV8LGG28U1l1nPTzdx4MxnIQl/ig7Co06TFkULR3UQgjWzFjJrh9rrFPakT0uBVB15qx0Rkhh1gHAXGJNieD1MHyrTy4QROQlT2Ma+EpCC1GU4GJps1r/Eto/a5LuBmv7x+75Ful/1bHW3X7Q7+Pv7rvv7pw5c2Y47DAcGwhns8OiuA50xA52Uk8nSLCw7nSrjloznY6zSzZpOnOVD7ZAs3TOPrFmilt6AxvS/cWDmF9SogopBz2qZHRyqxlrzJc8Mjc46jBhDWDnvKlu4GsiI0pwbvOt6GVak7xmyVo/+8/i2r9s5J7G6vZ/s/f/nrZ4mb/v219rrDw2kN+8ymdkxBWuXXEfKrHBioKrpqwggMjb8vztrFR45COOMk92048sfPJv57DaK7EUbrwCYkRJN8elCNOf5CKND8vouI+VrGMbvnnFVMogqOdlJz06T1A0iyBYnZF6qvkxVia61MwvcadyJAbPX+uHBTJjINjK/m673U5Gu3fD3fmNXRNXpsFoJUIW6UK/cUVez+J+0uSBEndew1o/LVCyWxZBsFX7ly0awuL0A2+dJdbvRXY/CfYAcMp3BfAFgYUL+dUrAhIS8EcLYB4Zt1TZOqhvixJsYQbahm1QHQBAcRsaa1YqwCUqy0WzIN3kc+XWANIeHiFd/zzd4mQhxbZ0xXXYOOu9m8CK8Jj4gkBUlGlrQVFRdDFeBCFG+lUkT4q+RxultWZozJNRFCzi0WS1fjdJxfeo23/xBlQmRcEiXtv/zdf/2RcWrx8gY3+1P9+80kHX2MdqYGpzSYKNbvt9m5P/lMhH6dAjBY+Mc58p4gRB3dJTEgHQp7usD3swHeiaxSpNtRRZIYoxqQI75klQG7FYZYRKnsfKPNpuRWBUjIFCZh4kB11KVSDFskSn0aeLMlP9IwleWUSeTwXKlFGOOeeqZM4SnYM+Xa0/N2RPB1R3+c3W9XVZt4DfiXS3XZ3f6+Wjq6/HX3YIy8G6rbdxbACZBjVKlQrEMABPa6T2TRYS+E9bqDiTJS+vBFYCLGn8AismtnB8sg+UZJyYQR4dCRjjoHEWq7UEssMJlMXMiCFsOz5/TRAeO5afZomlo7zMWTlJZGlYjujA7jiJBJQl5vf0Jn5zjkit9dOI+pebrjft73J7OqC6y+/ya3/ZtoADZXfb1flL4xeRvh7/evPKH14RCG0w4CwAPkxiAYg8AA5OMBWLPNoexTAAz74wAIwE5nUEbLNiqYVYzIqMoHMmSxGakUZZXKOlkyz6fJhFGhRzLVZfLYhynFdyIPPxx5/QzHe9Dd8umYRNAXJ8pdYenkk8lBblcRC1HwCDWpZCISuOAD/O2yUg540SaRLpZ/1Zp1p/39rfD7Lu6YDqLr+3a+0v2xZwoOxuuzq/zpRg1eIkKh/TfTL+uRTA81gnTJgggCO4SSnAiOBGKCSIdHJ2SoBChGBJMLQ0JjIJdCJrBDHy8M9eOuCgs3ysF4GYeQhmCwWuiJCXaa4fqQamgDjQqV+rrQRfcD8+c6byr7/BhojBUZjKJIgUyWk+W2U+6vfN6uQUjnsW+BTB+qdrpCEFdGdwDlOjK2XU+mW3ZJVok96wv52z2fO1te4OwFTmOrBMW8CBsrvt6vzc79yf47+0K4BwYUCDEAL25VSbu0WsEaDysAPemRMUNXYQsQ+5EajsvX/NftFENnMkQJMTTuCDVVbc/ms2y9pG5/oVNWxDMAai5zPZu3HQNcuq81ghOv4QuSjLxpjUJmGWXomWM3k5K3ljHnkehk9u/pbU+t1e0Zq0EV1v2d+kLf5Di5i/9t4aFugpsJZqHcdviaZIlpCCMZB7HobfavynV1oPPdTOYxVIiNtAUuMC2QmCBFM6gSaQxG5/ITzSBapU5XwCUYsKhJkEZpu9+q20yXS5PApL8lBoXyKgBC4BEC1t/ys/zXKX9NsrrSZD9Y2VLqTGNBmBFysci6ZQLKu4QFP9Y2ZEvSqRkidYquREGaK0yGT6kFjrlxEX1/5LNKDKrVjH3sQW6Gk/6O/xlz7NYi8IECEw+DEVNIA1QOMZVlxJJbbZLBZ0gRxRBDnIHEcKPQgQgGgrFeXJRXAEq6RxDbVtYARM3vbziwV20Apnv3rYpXzUVOgX8EIkX2kFlz28Ih/VRICrRCSluDij+5ai4nv+UpJqCtEgOuqm9BSoqMzoheIY8jT3a/20wKLtb3bq6YD6x0vzLWO6ut3dt4RF6wd/3f42xpLpUqDf+v/aQwapwXraD1LzJ6DIyo7E3m5/Pbx6+umnw8HcbkVgYeeh4606J4kV57NIzjw9bCwOQKTzwROoEEWP+1C5/NqGV1o7FtrygYNvuUXADf1aItAWLkc6kFHzXCfPY6VsLgWYc/0pWgbaOChkQLEgt1UYMddj+pXsFYji3KPOjDuFWQ+bw0fOnJElrfXLcEtq/54OKAPW2v5vlf639pqLCaxxPC5p/8uHdR6ujn+9IMB9rIceijevABO2JspJK8ERM0VuhYIE3vYzs3uCjziztUYDsLDUdASsGOatO2Vp7yqSBLIqESgl5GZ+5Y4AavrxBkIErEI/lyLSQdd880ryLC+vlWiKGz2/FnmquQSTAsMKYDbLUlFYidb6YbPYevB70f55W7QIE1i9PXLNTiuylSl1+2OasAz2fwfWot26H+rX9p88ebLOY+WxgQt5UApmlvlrquxgnIkREHlrL5iDj7t4rbUKkFRizjRZSc4sDUYFtOCNybIAZ7nuONjoSNLaK5VzloyElIbcBPaBIHDWG9s6TLkbp1uBPoYHXVOkwNzy4gpHIr1MmFEarqafObwzMR/yxxkt669asC4UJ30uBhHFkVClk6XWXzSmm6ziu6m7tn8lUzej/3gRSwFomq5c9/Sznev2X9r935cCumrPnqb1RfunFwR4VgABg4ajorigykDEC3V79VE9SCJ4csYKT/2WeeAIQLjbL2hMhEAmazYsPiCk3uiKmZRIPgmwGTJmszxekPLExdmt4hTH81inGLA2nBVQlNPlFSDpOlwh4nQedV80RASsnpzJVZkAtjm/BJkwA+JcbiHLdFUyetT9Wj8buUv773ayncfrZvdtNf94aR5MbPdXRbsWsmr7w2LVjuv9zv03Uf9zoK0uEak/eH2yvtRv7e/7WCceNgEfCDRUbfNbfACLwFaghjSCJKePcF5mEn1fqgORAylnmQRZm7969rgdC3RC1QABLKeikBJnnb68Sh2C1qhfv5YsGwzV3j5F5dBXWmNHIT8di2mOFIt5yH3nKHwDTsa93yXevGHIkMfFZJy80tX6zQ55L3Fbuu8chd8z++82qTmw/h23/rX93aqFtT3kvnMUfs/sX4x1SFiK48+XBpoCa4ZSXm/3i3p7qHfrr+1WfPPqiCOOBLZxVmiK7DYexYizNt7C69PUINmqpxco+kI9hCPomKy2cOONPw8PPvhgWHGFQeHgQw4K73rXFmCBHipiLYG6yqI49Zm8RennGitZ00HXlEVC1TdxkV5JjFGnprwpD1JKs9ZMvvO470Kqfim9khijTq31w1ix/WW27AesaqPmAymEdOufMsQGUNyJ0S97Rd9JbQaGuv2tKXBV07gJ3UbuO73ql9I7w69//ZswY8b0MGjQSmHfffYNm262adHtkZfLkTgYKuA40zDnmWfC0LXWAma8Kxxw4IFh9dVWa2ijlsD69V0rfYkVqBQuRp1aFCQWuov+59VKvguJvoCVuwImYB8rabq9pwXRoejpyT8CPmklCuKxEnc9CRBZU/7xH/ugAeIArNMGfY115513tgoi/dJLLg2fPvUUyaV0SrJE5AOo83MtfDBlDGX93E3AtV/TH/TwihxcY7XfGqSxEHQO8hYzEq7JrqSQNSe4EUWPyc5Gn8Wiiiau1u833/1n/5bAiqWAuv3RUSt9tdrdl0b//+P9D+hjosIIjKPzzjs3HH/8J21EYYD95eGHw8c/+rHw2MzHy6MMddlg/Q3Df//39/AJnpGltJbAmh0byQz9XX8B65M47f+wiTjoWuMCtUAl+dqnxa1UAk0mcbsUAQ4tx89lD8AWKjuLxQaXz2Z5BOGOO+0Y7r/vftZL7tJLLw2nnEJgteUDwC9U4A/6bH+sVNuF6wcqj/ll/TzdCoewAO3H7slDWMDDIsFlQSM0u7JqqJ9BdxOGqpA8XgojooJBRq1fhszN08SyRgLTktq/FbCWlwJalKAX9Ftl6/bvbv/nPvV99903/OlPf7JGwXj53LmfC584/hOpkS677LLwNXx0dP311hMAr7322uHOO+/U7JXDa4vhW4bf/fZ3EX9AAG6sPWQl5W/VH5LwPNAP7S9g1bGB4/H5a7o4K9SDJhjDvk/FkrAeBoDywYqoAQpmiBwonHVykz/B9ZrvXBM+efzxYZN3vCMMHrxGePDPD+J7WBfju1ency0B+QipzM4rfeRDftcvIhVgDdaUl/VXt1tpkip+NkF0qXyI84cCTnAa6eYZnSVgUUqT3VxexiZBJkzZUr6cv5Je6zcD9pb9Ww2k0gsBVMnuIL939bN5Ta75df/jEION89u6zP4//NF14Ywzzwwb4YOjg1cbHGY8ND2ce955wAgH1rZw2623hYcf+Wv46HHHhRVXXBH2NXnHHntsuOWWW2RyLhEMGzZMYdq/ew+vwN7P4z/NWCcePlG34T5Nt18iDAMYyk6vIniifPHuPfFZFdOVdH6VdcSIEeH55/8Zbrjhp4G/RFPvvTdcjKWA0047BfbAXBF8tJt1fAjWEyvakkTSCXQW1uwZeql/QEQ+nsdKl9ZYFevOxZWC14PuZ9lzEn8COLsVLU/I+LsfzAR40P1MSE6q9Tfav1vAmtmzCGaW9aD7BVPqGiTV9m+0f2aqRQZffOmlsCuWBJ//5wvhmmuuDv/5n98MD9x/fzj33PPC8Z88vhiHmaS8SW765U3hk5/AkgHG/09+/JOw0847Jc7uLgWkDHnLuhL3C6aca7HaX8DK060O5XYrzDZRdgmiZOpzR8DnEXmiEvAQFO4B6NqAtloaRTppkz41KVz1//5fGLvXXuFXv/ylDDH13qmYsQJY8aVWgqfwMSqQBxpB3PVLdlROfqVIJ8N8pZXAijVWfP7afo1IhYMww15KNRplCacTRWwxtRymiGYUGSOqKPFITaGr1t8/9m8JrNi3Wrc/e37RJ5d2///sZz+L9dH/DrvvsUe47tprw3777Rfuf+D+cB6BFXe1RUltZFXH3w033BA+/alPga8NM9ebw6hRo9IYbQ2su4BnKY5/breaPXt2GH/QQQJWu0s3kDPkxIwVNecbWGogVomEuGRgRmEFGArhj398ILz//dtj7XVg+NMDfwybv+udYeeddwn3YsZ6ySUXA1hPByflI4eyUG6cD4Lo+pnERQAaRw/Q+AYYErkzgfqn4HQrah2NV1rNfGJOF+9M5UaCVBt14KMGK7f0RyFOTYLICWIJmDMxzfiZ1/MUekRFFIqky3PG+tf6aaDUKorEi9vSLUam3SbZHYvzFftY7WwAz1OWiIy1/fu1/3EHwLhxH9QS4W233Ro23WQzrZ/ejxnreVgKOB5LAYsaf5884YRw002/CINXH6wdRoNWHJSasRWw3oFdARyzS6v90yEsh2MpQOefsu8B3nSKFHtw7KF2fjR/B/HACuue9pDKQC7ikyq7x+57aI/pGWecES66+CLVa+dddg733jM1XHrpJeHTengV66uHYNAh5KYRYImov1hbJQzDAVStTHg7DHztAFYm2IwVJDJFcKpEkAAX0xMbAmmMNTAkrnJG8mmtJilKcl2+RJUjJVKSXOtfIvu3nLHq0JVkZbM9r5GUUmr7L5H9k2HdoO4roYgciG1S9069N5z4yZPCZ885W82wP2esXArQGiuWAvI8ylrkfwRrrvxg6MI3FoQjj/xwuPRLF4O7GH+tgNV/aKPwfm//9ObV+PHj9atCICWALdSDKAAngZVVgddBIASdt+z8lRHa4UoOflH1uut+FI4++uiwIQ6fno5fqlVXXQ0m6Aw77bKL1ljTrgBMRfkesr3eSjmmA4Goz/T6LJF0rcliqULTVvBPmdyuQuk8VqZLRjQ4xSWxAGYIiikUBecMFmt2LWY8MRVZciDO001aJtOD9KGr1t/79u8SWGv7LxP9/2c/+3mYNOnksN7662O8TgYerKrBtN/++4YH7ntAwMqlgGaO42vhwgU4w+TQcM8994S113pbuB3PVdYaMkTsPv66BNalOP6KNdYJdh6rSk0U4iwSTviJoNY5bW6tMOeR2jlgbOHll1/WA6s5c+aEa6/9Ab5IgIdh8ZtY3MvKh1fax3r6qfY6lpCOmRGgfAAzjaWXEEiCfrJQP+nxEkHd1lipXzNWJJddlFsF0AZyJMBr2P7jLVcWnGKqfwWuU2LS6wpjikfdd75af4/t3yWwul2TX9tfFvB+577bpw/639y5r4ZdcKf63HPPhSuvvDJ86EMfwiBDKTCe99s3rrH6PtYW+s8+++zwfWAJf5avvvpqLCmMiw1JUcSHttAlsLpCz+X1dt/TW+gH2HjOBt/1NySIgLJxjZX7WPn5646FvN+2tUzK5N5S0vRaKeJa49RsE9iIQg1UOkqFtCu+8pVw9llnhRUHDQqXffkyTWYx8RU+X3H5FWHWrKfDPvvsHfbEvlMafNSorZTPlwH8ARWXIdKaC+QSYAv9/pJACJPx8IoT6NHx89dVW7nNvOKWnrhi9VVdKwcpSibAo8kgWyQArOZbLAvSRc/FxHAiecB9ExOLUyYqlpMioda/aPu3XGP1Q1dyu6INLFomRnPX7R/7em/2/6u+dVW44MLzsW1qUDjvc59HC+BOV2OhTUD7t7/9Tbf4u++6W9hhxx3ClltuWRp/3/72VeH8C84X7QvI/7FPfLzp+GsJrJU3r/q7/QWsTzzxBF5pPQLAaeuXBBIicnr1VAaJnRKe0BoIo4dYTIPFPv2pT8tgTKs6gpGoBCyEuBj91a9+NbFJMq2uqakxmxxpUoOwLFyioCBS0z5WnseqvCbOZ56SKWYkMj1z+ew7IyNouQpaHs/DkYMkulq/mQ6m6C/7t5qx/h1vXlkvY7OggXjLU7e/uqlf+qP/c/30u9dcI5XV8a9hk42Z47Bv9fzzAaJx/P34Rz8Op5+Bh9zAg4997GPhC1/4QkqTQL9AUKt9rHfgzaul2f466JrbrQ7BQdd8YNTGxVRUWhiHTgkow+EomMl24C0ppsH5rE3nB8AYnNO1t7eHm3/za4VtDZZUMg+QgZ997tmw66676tfpg3hKuOOOOwGYOUOmLjuHwNZckQ9TUdJ0dBZ97nHtAE0CKbQjtPPNK4TG8thA0wSflMSEcHQkM00Fd6KRXL+WNZQkZoSiHInEBcpdv2tQUkmnUTINFiS51t+r9m8FrKUXBLwhavv3e/+bOnVquO2226wFKvb/8Y9/jCWCv4cddtg+vPe92+Gucwz894qXT/9PPOlETPI68Zr9YeErl1+O8c/iNx9/67Q4+Lr08Kqi3wpFmfiPwVz+oRGzJZBRPLi00I9SFbxZWAdd66wArbHyab/Vw2S6EuqnCPwB6EzYQAEuH0IRaLhLQE7pskRKt10BWGPFPlbuCoiMkhlrBs8KT/18UCVwjjIF4ABom0Ezhz286gTgjuU+VjgvqUDPiwKZVjqxpIslZ2kkRP0Ez/j7QUUtHDKIsUiOKi1LjPjsreCykCXX+lPb0CA9tH/rYwOx3aq2vzrastr/9sWuAL4gYNut8PAqtv8dt98Zjv7IR8KCBW+E/ffbP3zzym/aA/XqAGKGOP66WgpYmvVPD6940LVeKUWhOUlMvVPBiDDw9IRbM03AGxjJq1kuIUUGgmcCPBp23gnbrf5gD69OPQUvCHC9JT7h7yAwU7zuFyiguX6BK2ey4GuDfn7zis4+JuiKQYhFZVqkKpCMLKKnUFfUzwxyRZpT1IiMFFUsksBerb8nuiQWpNYff0hkFLfM4tu/OzNW11Lbf9nqf9wVcP8DD+CsgHPDx/FGld9IHnDAAWHqH6bawMUg0qFLGkzFwHv7RhuF3+O1VnctgRVLAUuz/dN2Kx50zZKwknZLbidYcQZJoORxKUzkFN1v9Vm5FBaYIjNtAB76ur0GfTe8cXE3lgq+ggdcJ51wIkBGCwxmG/BRNHVqpsh47qDTZ8mUp722SCewkrX0SivkiOh+lFOKMkKX9FiqriVGY+M14yiIzUKe3/3IU4oyQlfrNzvk1i0ZKibDM3I5sUtgLbPG/Jk6Bmv7ZwbhPSBMUrFbZGhqf08r+Z7f/ZhYiiJy0EHjwz33/l7rqscddyy4TP+Hjzoq3I7lA/KTRionUgAAay4EN8BWTi4zuOsKWJ2nql/0Pm7/9ILAYRNwuhWVoRScZbMydBZEBRVGVVOaqu13cOCLmcGnnMhvEkJYgM29r8x9Oay51lDjj7Kj0KjDlCkp6mB+LSpEWTK10rDGOqUd2eNSAGmZs7IaIYUpA41UYk2J4PUwfNaxzAeiGrhZGvKWmAtRLIGLpT1r/Utofxq0hy6ddlXbf5npfwsWLAivvfaa3qRKY8cHyiLGnz+s6mE3wEDs5/GH02I6Z86cGezz19Qffx1iyREVcBA7GPR0/yWJbJpxaluUMhCHmIPgq1VTZIQPGvNTkt6iwi29gQ3pfOrv6VIp0a4fDCJGD9utWsxYvUDuV0DPyLFSENYAdp5PihmBgCYyogTnNp/EqmuS1yyJhFr/Ytu/auZW8aYPs/znrrb/Ytt/afV/n6G2au/u0ft+/GuNlccG+lKAz9aIK1w7jHf1sSuCqCkrig9c4G15/uHBVCnkI46y+NlNP7LwbSvui/VXYqnEeG3ZIHsIBl6+zUX9heNygSEV97FSAV93a3TMRFBXMZOf+DxBhCyCoNffeT3V/BgrE50180vctX5YpvT74vaTxbIIgq3s78atLgE4ver7U+H8K62JJ1NpvTSWrgv9liVm9PzuJ8EeKHHX7Q+zLGn7u0XXXrP5+atu+arv/aBEL7VbFkGwVf9z/aqJZ3G/JJwR4BQ+g9D5u9//OXzxjBPwChm/ekVA4qyVptBjJsAgKbYOyjejtB5KCsJt2AbVAQAUt6GxZqUC3ISKVgKb7VJ+nMVSA2qihz9gcb3SZllA45avQr/Pau8msEL/mPiCAEQlF7OmOCWnplWwiMciFyyeFH2PZsKitNYMjXkyioJFvNavZuy2/RcHWAvhaMXa/jD4m7f/+Yy1p/0gjd/+an++efW9X98TvnX+pyKYcuMUwQ59EKNet+yafoIg9KSP0iFN8EiI5z5TxJlPt/TKj7BPd9mfiSB0EKxZrNJUS5EVopgIuq5fZQGVRaB+AT58nsfKPNpuhThziiH5GYnJ0TmXsaWYpSrqNPp0FI6w/5R5slGzPuoJ7jsD/MylVAVSzDhKNEboav1F2+JUq5Pxg9oN5zOVnU7dpxvcNcubxQLtX/mVitrTfuD1SyOuNNZiaom2ZONPD6/um/5oOPG4o2x7g8axAWQa1NCbCsRwAlx7U0ugCgY7z9Vml7wSWDnD1ByVvsrKJ/tAScapizw6EjDGQeMs1pDUKixQFjOVG8K24/PXBOGxY/lpllg6ysuclZNElobliA7sjpNIQFlifk9v4jfniNRaP42of7npetP+LrenA6oGVrfcW8NfXGAtjV9E+nr8680rf3hFILTBwHNS8DCJBSDyADg4wVQs8mg5gGEAnn1hgGuuXCNdYKUWYjErMoLOmSxFaEYaZXGNls6WFpgfPKRBMddiuZ4q/eSJvEd842Tl8cu3j/uyZBI2Bch2vqEA3XlkRWkHJYKoSTaoZSkUsuII8OO8XSJyXpfJanHmzfqzTrX+vrX/iJE83LiescoIy/FlcYF1+rTpZrX+Gv9cCuArrRMmTBDAEdwEJAA1ghuhkCCik6oI84gQLAmGlsZE/EOB9YoqeZSHkAg+oq1Az/KxXgRi5iHnQgEmIuRlmutHqoEpIA506uciQiOw4sAXOqmlHAaiizSfrSqVslAIAiGTheOeBT51sf7pGmksn3KIwTlckdgts6RGOuWCv9Zvtl4S+4+KX+esZ6xZn1sOg4sNrNOn26jup/GfdgXwC4q8zSYIyBm2IBgDyQMHwJN35gIlpGvLktILEGE2kXQLb+BKuYY1uHJdlo5AFXUK0Beh/wOfm6Bsfmm/4lfQDwmFGEuK4k1cJbESdVmpriQknhjIPQ/DV31q/X1v/9hIrYD1zsppRkWblhqzTG6IxYYtZfHGBhHtnHHYj7DT8oSu5Dak5YRMSArGQNlTpvgbb2VK/Lk8D3eZ6EzwM74UjIGypzzLkv7dW6y9+1p7VslSNUv07tbfbQG/1fhPr7TyOzSUK5ASd64/Elyx+Gwe5sZlAaVPl7y4xqeJKTi0rYq84LNb6YxXclHYLvR/4HN4kSFzUwCs4getuX5jVjnJEZktjjTqcuf6Y1zyPC33M0WLrr9lrPXT1Etu/5bA6q8wtmg0IxeJChXR2EjoQ+gP3iWqyXkXiL3N+lxMaCozT8u4m/KCWOtfPPt31S/YBP09/tKbVzyIVuuhKAQPQekAAFkH4yyUW/95+46hwY6nXsFhgj2p4LOHTSAqAy/ghdfZGfMpgXTKMmn0I7RSo3Q7QHal/wOfr8xY41NCiZN+iCtHSMicCo+4+5aUA2Q5iSWlLcDvvT5lTYGKuIyeaY6a4JktosFErvXDGt5+JfO5/c16ixpAZRtbrHx14e4vKofrB39X7V9SUpZdSkqdq8xTjuU5+la/j3ka382fa2fH7lb/L2VqXZtioJR5yrFcWPf0d69fUK5rct909fb408Mrnm7FQ6jl2HnotIWq0dRFcbzCxm4NQKiwXad+a05+USiXh6hg6mpSkaKR5BLpwy1Cf8NSgANr6gAmJtnPhJpcKJYBnVbSTyLK4Pq9AuItLl7ayJ11xoo9ckaXW+tfYvu3HkC7wMoZOHRlf3VAZ3A/tijbv5RetH21zfOc7DtvRv12Yhzs5mPhTVr/1v1iV2vA2Fj9Nf71ggDfvNpvP6yxVmECM068ARA7DHsbShc9lpbYIxxSY7Dk5ipdjLkErnwsFmE3yizySHY39DcFVorRYHD9paj0e7E18wRzJQsylimqQ6xXacCYirKictaKpEKyseXXZsJcNLTW+tXJWto/N18WrjRHao/c8lWeopUy+6tTVXtzF4piUlW2x5dF/T5jFa5mg6iodRHKau5GKg+0ZaT+DeUslStvhZzTW8loSzz+J0+e3MkZ6wEHHBgWLHwjDmYIB7TrLSd0S3Zsn3UmDNUCKQuBAqlMACv4RQPxgRWTAWkV0LOEgmz5CHa2xcr6c3P9jUsBv0z6rRwunYWCq+g3Yvnq5S6MyXxeGe9YiENWqn+qE+ngZ8Xlu2xG4Gr9RUObRRqubuqu7d+QrZHQG/b3zuqFQqMasJtwXat6FO+l9u9n/QRWVlVvSsaayrBvxvo39ohuUbyqXfc/GKkH4z8dG8hdAbaHlPiAWwPuEOAXBdSxODa8g7GsMUxdnNQaSZWI8FjQmOglj3x8hZU6KEfOwYdR9c/W+sdVdwWkpQATlcrGaJRX1a+ptpXQMiU+RFUZ5gXRfiWimOb1T/wmiRnxF29Jk9xClgnzhJjJo+6TXOvv0v47nco7rML5Npym9o8tKG7ZODd0IaMU6k37L8P6ixmrd/xohTdZ/asvgqg/eDNndem38ef7WA/40P5hAQuAf768ynLZiVV8GGWzNaXFggoamQVASSghP52DMGe5fvtPX/xKz7kYtjx8YLYo/ePOqzy8wq4AB8pCv8mUMGktQuSpdKHI7GCfxKk+4s0bhtx5XAJNaq3fTFnYt7C2h9yPRs+8ntl/p9MagbXX7B9Llcqat7fSUkrsWBZ/M+ovgJVVsZbz9ku1fBPUv/kPbapBGssFJet6sU1T/SNT4q3WP4+LyTh5paP9tN2Kb14ddNBB8SutSrNLJqBQggZATjd+4gYDXxq4qf3m8Mq812KHy/iQacgaa4S93z8GWaI0ekBqHcRCQUkJI3BN9DddYxUvLiyUy3CfaXSKOzH6Za/Iazma6k/yncf9iugGPqVXmGr9ajO3SqPNkFK6a/B2DKFhhqIfWG+Mgi9RpMQ1Rb/s4YWUEP775ifD3Ffx9qBcZ1hxhQH4YN1KYcO1VwnbjxiqXTCNnR/MLjrmvO63T4ennn01rDCwLYx7/3rh3zddE3VxprJip1ZlNOv/5Ln9jtvDb37zm7DpppuG44/Hp03okhCLMv7Ciy8ELPUFHA0anp3zXHjPtlvrW3PbbvseMGGwgIc/Z8yqz843yAChhf2jlsJryGsqEoPSnSn6Za9JHcDQTf3d6w99p19GzPBHwMo11v2xj1VvU1UqqyjbwCat6lNcPaUMdzbXaAuPP/Nk+PD5/IaNzV+ZVw7G4S/jqiutGn77tZ9ZXgmOysjkIBpJniI/098MWF2/tQxlIUNeQJLwP/VrhBsIXeknOwTENmbukqv1++IHrQzXD/ZvGEhaEor6q43PIuF/qf1ZzjQaGOwMM+e8Gj5y0R/Ud1Qj0Oy8XvgQsPH6q4aLPzpSvrLHS7X9b7//H+GL350h6bwcNW5YOG7fdyxSf97BVN6shNT/IoDy9NNOC9d893tKGTF8RJg+g28UVeyP+j/8l7/gs0VjAj8zLXNQYHQXXnhhOOeccxCzepGs4ZJ18Gb6s+Qoybxm+ksMiEieC02JGYEVzBR4SvLLyUkCA9S/c8ulIWOVHBdmmaAvI7j+SPKU5COQFc+ExmtD/Yl/XAp48sknw4cOwD5W7eInikFKejiF3FEoxwu3qFqBcKMPtOUXVY0WwqNPzwxHX3RCWGWllcPY9+0BPubVRaVab8g64Zi9scEf8rh8wHNZWSi5yKZMXej/QHUpgAOKIpgfLgsaodk16rfFiSYMVSF5vBRGhNbOaFmwieBIApMvnzRlqgrJ46UwIsup/ubAWmqKpqYVEWZrZv9HZ78Sjrv0PiR2hn133iBsMHTl8C/MXqc9/lKYMfNl5dlsw9XDNWdvWzSkd7xIeW3ewnDUBVPD31+cZ30S/f+ocRuFj+67SVGeFvoTQ97GJCL+s5/dEE48+STMPJ+NbG1h+PAtwowZD6VskTXMeeaZsPXWW4fn/v5ceOdm7wxHH3102GyzzcL3v//9cPPNN4v/O9/9Tjj2I8eiqlTGbhQHECNN9KdqltJKEeZsyCpi9YJszeyf2Kpi83gezrS16g9JZh7oLf20XYvxJ2Dldqt99rbj1YiDycTKGBGWFaKLifTUJgrQUCE88vTj4diLTgzrr7tB+On51xQ/CDIGC8E8gDPFEZY4XplEoAbMgoci5Zrob9wVYMCqfOJPuV1B9E2PzUQgnWWRZ3QnNOqP8jI2KxyuJkB+rR8W7Ef7VwfSFPzALqn+R2fNDcd+6X7JueqM94QtN14dlbL2v/QHD4ff3DNH3eSnF2wf1sXyQGp/7wqo/3/98snwg98+Gd42eJDA6vl/zQ9H7bVx+Oh+w9Rtqv2Pt4IXX3xxGLTiSuGMM85o0v/bwvPPPx/WXntt5T/yqCPDuuusG76K78dtueXwMOOhGVFuYf9LL/tSOPusz4ShQ4bio333h3cMewcTcUfaEXbbbQ8cuTkFSwI7hCn4Dp1uRSGBx4OyPi37v7RULt7/QVawL9u/olrRTH+1P5QfXoFboMNyNscfMHRdf+qii3CgsOuHXx3/acZ6wIEfwhqr546GUm5mQnGQU5mr6wCZhkdmPR6OufDEsME6ANYLrom5TZbBM0tl+2I1V/VWpD8AgulH52VmNNff8PCqYVeAS2jlZ5I96H6WJSf5VF+0PCHj734wE+BB9zMhOanWr+EQBy+MhG7SdCBl9msdzCzrweg/OntuOO6S+yX/W6dvE4YPGywxtD9v77+A23uOg2+csnXYarM1GlTM+vtrWkp4Y0Fn+OxRW4Rr/4/rrK+Eoz4wDDPWd0R+V4oogvPmzwsrr7xKWGHFgeGN+W8kmRkX1nznhiMPPzKcevppYdeddgmXX3F5OOPMM8JwAusMA9aUEYGROLCGdAL1ZZfFQ4oiww03/BRfCzlU+PDEE0+GjTbeSOXQnWcmJNf/Zuh/3e8PWc086H4v1l/AytOtdFYABBPaaMgyNIuYSCUedLS2+BIBgfUjFwBY190w/OyCqwGhdrPNmajtiU0iDKSppix6kfob1lizXQEujPhsexRYUtQHeioz9lING2vbSCllcEUsrVgzfgRr/X1v/5YDKbP/M7htfu3VV1PTZa2U+t/qq68e1ll3XfU7zlg/eun94O8MmrFGYGVzX3/rrHDljY+rA1//hfeF9d/GT4SU2/+sb00L/9+058MoPKi68pR3h6OwXvvUs6+FI/faKHxsv01SOSjPyzJvHoF1ZTwkWyHMf8OB1VPJGV1GuuLyy8PpAM3hwwGs0wGsfgsI1pdefCkMGTpE9fnVr38dPvjBDyZdFMFlgg033FBFv+XmW8Ke+LQR6Xp4FVUVpUuEJqRYIHkxTHYEG/o/yByJGVfLMEWUOY1SypDzRP2NuwKwv11aIQ08/T7+ucY6e/bssDcagNrtpCqDVs4yWTidl1p5em/Gy03QiaWAJ8IxWGNdeeVVw4Qx2GWAW491hq4V/m3tDcPW7xyJ250VkQEmppWTpaALNC7V0kaL0l/dx6pbQIqrODdmoYcM0NBCf7zjS6XKxbkstWFFTKLlGagJCSYz50C41t+0/Xtq/51OK38ZoNjHag3xBr4EOni11TUjTE3jozsRQlh33XXCHDwxp/5HZ72CpYD7hFNXnr51GL7x4DD3tYXhD395IVxx/V/Dy68tQD8eEr7+qXenfuKt2/7n58Nnr5qOjfYhfPvM94R3/tvq4egL/hCe5IwVD69sxurcLICF5817XTNWB9acw4vpNPcv/3KcsQJYp2NmquEUmR955JHwrne9S7FHH3k0bPbOTRF2DpOw6qqr6iupP/zhD/ER0Qk2/jgA4VyHIvHiNPdzvpzWLE9ZYs7tYRv/XbY/BLN0nqOZ/uoPbXE4UyVXP42/dAjLgQcegG9e8XactSCwcibK2oDAAJJUPcxOzY9pKih44D8ye6aWAkyIsbk11hm6bvjUIR8Pu22zkzWzZZFo/uAalEMPwl3p/8DnDwVD4XhsYIPVXWnBFuUmT4FkY/FJcdJvQpmQ0RnNZgeMenLyS0RF7JKJoVnJX+svrJwMKTtFY8lymeEYj/avDqTUD7I8e+61Z3jhny+YEnybzfpV1BntPwy3wj//+Y3I1SlgPQ4zVoalVQ0lgVY8dLQfnLstdgWsFonmzV/QET584R/C3/7xejhglw3DqRM2QwIeWoH2FHYaHDUOa6xxKSDVLOp/g0sBeNg7cAUsBeAz8aY4cUFODCdSZ7j88ivCmVgK0BqrLwXE9Cn4LPwuu+ysgj373LNaj7VS2pVsG6y3Xnj2uefC17/xjXDSiScqwYCtGH/RSkhr1F+kmUxdU/kYK0UypiwFLD3u/z5wDEFKchv6Q3WJsEk1eqyfGrs5/tObV3vvvTdAznsSZq4AVEZZHjo+GOjEz7EeEICqk6ukhJ2QM87OMG/eG+G6W38eBg5YIayOX8WXX5kbHgPY3nn/FID2gjBw4ArhqrO+GrYcthnk2M26Sa9eW+sfd14FWGFAs1m0HEV5UIVH+VARr5lpcoaq3iLuvyeJgix5Q+TpJi2T6UH6tFWtv9ft3ziQilu/UvujX2qSkBrS2qQZODyGXQHHclcAHNt3IGafnGuw8Or/aMd1hgwKV5zw72EYwJXjg+57v3kqfO/XM8PgVVcMP/z8e8PgVXBnhjTuDuBe1iMxY/1YBNb77rsvHDYRL7nEOQwPduc+cjo+uTdHhSHc9ItfhBEjRhgJ5fH+d/nlX8b66VlYCthSa6nsZjaa2vTUn7f/LNzfn/s7Hnqt1VD/DTZcPzz7zLPhq//xH2HSpEmSX4z9pI5FKFymn8Ru9/8e2L9QxlEjExSkRejfufJts/TwCpKWxvgr1lj338+MxarQGGh4HQkI68qIqiKrS8dmJPAykfGqGRjnQoL1yoeffjR88rLTsDg/P+z2vt3DhceeFa0W80EBOw2J5rXWXz2PtXoLSClFeSrl8qj7Xm7EG7Z/5D3HhJauqn+562XprsD9mORR92v9MIz1oZ7avxFYceeSnBvY/ZjgUffd/khmez42+1Vst8I+Vjh7eLVGeAMPdOf88/Xwy/Znwo9/97TSRmyCNdTT3q3e+twL88IR598b5uOB1WkTNg/7Y5uW9z8B63Ov4eFVnLFC7//d+n9hrz3xnbauHAcBeP8wdWrYdrvtGjgvxxorH0yNGIGlAK6xZu6ee+4J22+/PSht4bHHHsFLBA7WIMV6r7fuetqK9b3vfTd8+MNHW27oLE0/+rP/q2iVn78e6m/eH2KFrYap/m6HRABbT/vfosZ/2hVw4IEHhoUL8HFAgipQTr/G7PPY26rXWhlGAURXQQi8TEep6ZtngYip3MGhrbFgOOe/Lgp33Tc5DHv7JuG6874pbuVJGUGKhK70j6uexxqXApIYD7gPsXQWLRMVy0mRkPQzHyqtDlepP+ssF/MnMR5wv8RWJiqWkyKh1h/7H2zXyv7VNdaGtXbY8tzzzgn/5FIAGssGQm5s6xNv32BD8J2rVnqMa6wAVrb4t8/YBndWg02/On0IF33/4fDbqdhyhfHxP5fsEIYOXlEPtPhgixODw0b/m3UL9g2ouunuZ8Irry8IW2y0Rthm8zXDe4cPCdttMTQ8h1t0jiWWZv7r88I7NnkHxtKAwGcdPv54KMp6uGX3B78soJfe11hzYPW0xx57LLxz83eK+f777wvbbMO3rDxvp5YbVlllFX3qXg+3PjBO47eYsZYho5l+CaxcXH8iVwgWLRMVK5NU0hxiu6u/AVh9iTAWqFv6Y4F6Y/wJWJ944olw0PiDAKx8lY8wYh2RzVFU0oqWp6k3seDoSOwoBOAOrMEaD8kG0gTgC37wH+E37b8Nm6yaWpUAAB1jSURBVLx9GNaprrTZbl5pdcZGHVX9zXcFQBCz0sMPQ65fZaTszOWNlZERNP0FLY/n4cgRdUJhrT/aor/s32ogeY/lw6uVVxqk76YVN1ZF7/U2Gzp0KMD3n2pQ327F5vyWgBX7WMXI5M7wk9tnhyt/9rh6yffP2y4MWxdvYmF/6y0A29T/kUqQsj6GXLCLJiCQs/f2G4Szjtg8plmnnI9dASthV8AKK66gO7pCn+ks4kX/8xmrtlvFfazedV986UXtX2Xuq6/+r3DcsR8tRID25wcfDFu9+92iPfinB8OoUaPIGsdjoUNEF6pINQ3EnBTDbn+L4spfHKuqiWQ2GKUA8kSuCCS9iYIW7NX+YD+0/aCf5WH9WFR6EX900DW3W+mbV5ZUGIJHV6lnIBcW/2kjOp5OxQhl2btTbjlSPOz62sICdPIjLzw+zJozK4x+/+hw/jFnGB+nu2C3zmfyECtENNFf3RXQ/pVsba3UEFDhjsWS3KJsSorFLTe0mJEcecWDC+sbSS7FsttV8mr9hd3MIIVZetn+1YFkS0J5W4RwM96nf/Glf1kHa9CPVkT/Wxu7AsaMHqOBbm9e2VKAvSAwWN2Gs0j2hy/98K/hV5iFEqhvvGjHMHSNFcMDD78Q7vvri0q3HoxE8LNP33jn3zBjXaj9sNttMSS8R/+HFpYBz7w37OGV7wowhWSJvUyqTT+vdFdcgTXW088MW2Ip4CF8JC/xxv73vve/L0y9d2o4CHehP/v5z6NI5EbBz/vceeGiCy4Mm79rC732SiBk/x/A7QxyrqW1/pgStVnZiryeGsXRk0jTn1GjbeFBfwG0i6e/eX+I2npDfw/Hvw661lkBWGM18MCvOnsFXW5bRYzODsSHV53YgsU+x3kAt/1/5adXhfdvuU3YYcR2WPgHF9pq7iuvhq/97L/Cze23SOQFnzgv7L7Njggjr2RCCfU5WKPxu9LfMGONT/9iiSXRGpLVcR1SnS7Gm6WRkPRbUMxN+ogJQQaibJZe6zfLyCTRGH1p/+q+Rc5Q6JZE/6OzXk3brb5y0lZhi2Grq2vy7anf3vNsuO7/npKOkZusgTXWbRT2S7P2P+oiPLzSrgDfbmXcxmv9b968+dhutVJ8QWCBui67olzWvyJF3hV4eHU6H16NwMOruMaaZ/nqV/4jnHraKZz1hGu/f2044ogjlO+uu+4K48aN01arCy68IJx7zrkCNSrlsh2tRzmL0s+xGy3NTHK5fiWD2uP2XwL9DcCKpYAe64/g2a36L2L8t/3kJz/p5EENH//EJ+JSgBvNTSULmSnR0HzCNgBA6KnCRJWkLew56aDw2vzXwqqrrBbejpcECLazMUt9/fXXBcJ77zAunHPUp63lIoB2oIAIgkbhlNq1/iqw2n61mMezQgpdiiKQjCyip/AHIuq3LFku8kRHI9KxiOYpykte/2pi4kWg1h9/yGQUt8zi279hIBFYXWxsnRRFINlfaZ7Cfmw/7yTbrgDMWJlcccbXGQavPih8Y9JWYZMNbctVV+1/1IURWD+AQ1jwSmuhqdC/ANsODj3kkLDioEHh+h//GFqLNC8Ct0HywJW52GXD8Tf3pZfCy3Pnapa3/vobwO8Ma631Ntzm/1l99IUXXgijR48Of/zTHyWOr7Suvubq4aFpM7DLoSPssuvO4Ve/+jXqsrqegdjwi328if6843vpvGxd1T/xItAd+5tMz0XfXTHwPNVTXH/1h5Z3MIkXgaRfRE9Z/P5X1Z/biGlt119/feecOXPCsccdZ0+a3L6eEw2pqTqKaWtHnkDfCyix4Ye/uzHccOdN4dm/Y4E/OorbYN23h2P3PTJ84L272Tosu1j8WfCuXaqvZ6Zf0b9Xs0NYnN+L436kl6KM0KV6WqquJUZj4zXjKIjNQp7f/chTijJCV+s3O+TWLRkqJsMzcjmxO8DqEko5GaFrYv+X574RJn7x3jAXt+9yMeNKgwaG9dcaFHYY+bZw2JiN9NDKGCrXkqIQjr3kvvA4tnAds++wcDS2XCWZDDTRH+cnxpdduV681pA1wyt8i8zL7+mUA9o6OEvgOWyvcrkvvvhiOOaYY8Ltt90WXvoXlkPg1l9//fBBPKz6z29eGVZdbRXR/JtXHGet9Fu17KpMrS4tWEpkRuh6UH/LX5JiMrJr0/4Q00s5+0i/VLki+OkFgQ/tj9Ot+BcTY3vxbkLASsOzAW0GTKa4upponiOE519+IfzjxeeRZUDYCDPXVQahEbGe1YnlgYinVuVcVwwvSn/DISyVp38UHEVJRwpDcMN+tpSYZQLN6qjsdmGhSvXP0xBOnSSyZ6Skotbfq/bv7kDq0v5ZM6ZO09P2z2XEsOt8AzPN1+d3hNVXXgFdpEn/y/N6pl7UT/F8a/KvD/9VD/KGbbJJtava2AYfRqb1417W79UisDSMvz6qfzOxTfWnwiGHh3taf8+XKRUJh+B2coNy/vlr8RBM5MzgBpsmhWHe5qsxxAOjMeZZLKNd48+g5fcEk9O0sonFhZX1d7mP1bO4DPpU3OB6rr8qIkook2v9ZXsw1kf2bwqs3ih5OyyJfuVtKiCNw1KF34T6425JzBsq9eT4f7PVv9QYXUViQ3UF9hX8q0rzpi7RSYxO2614bKB/88qXE2lVvk1l+1CdPZ6hqgKBBr+hQchKMIUgwq22YCk7oTef5RKWwRd5I4tmiwq30D/uczjPNXNdvSDglXc/ZSsRsgiC1dmqp5ofY2ViElsEStyNg9DzK0MWQbDWH8dzNKZbx/wYg1fdx1ruByXu2v6wZQk2oxlpYl8K0DgG/c3a/6o/tLH7hNJaqxOz+qPGoEbr9GL9066AA/GV1oUdWFtyPdEv4NCSvGwGigBHbMPqADh6wzEbnX4APZILVcsVStKrsQXJ6hnjVf0N260WsRRgpXHhiClYxPnDlMrKSnhS9D1qcnJprRka82QUBYt4rX/x7N/0FcbYSIV1vdWqlCLe7/ZXkZYd/R2YObH/6+6zP/p/H9W/K2AtBjWUy/T9YH+ebsUZ69777GO38pxBCibpsxxxZuk/ZTGZbaDbCMZtIVa8noN5E0gpYhefxbJDR4VKKKJRgTK7NNCi/uqugOLwjTwfSwfnJIuVSUqrMJRojNDF3lapP1NK7ElZJjMLkp8ukcqZs0TnoE9X65fVKvavDqRiP7Pbz6xXvaZUBVIsY3MafbpF2N+YcM3zxf6X0oqAc1U6T8FQkkNy3+rXOKSWtBTgJXxz1b/aH9yg5TuZopWa2l9V72H9nb3UbsBMfGxMxwbus8++KAu40I7agiRGL54ViDHNVNXYbPC4QmMoqbyxG5gc/RoaMNvhQkylfFzQkNoZABFtOpJQ6Gz5MIhMj9h1YRa6hhmrttnE2pl4Y8S12Hgc14A9Bew+Tpsa2PkyP2rIKAxGalb/nKHWz9mQ9Qj7gY7W6QX7VwdSdQCpddAufaXfauK9wv289fux/3k/LKvvVv+3T97TTtrIWpFQRFvUEAw+4iuDDyn91v9R/+p2Ky+59Yv+H/9684oPrw477DCdC2DGwKk+eIqv5U82GjqorbWigAiQR2e0MoyB04E/8vIrlx2BR5+5sc24xF+u5bBxkJMXC5lQkwUKT/rxhuZZrnYClpj1aiJzHfGNk+kl9+3jviyZgmKhpckvfoHBmpXHZ8kEbg52OmpQyFShk7EeBRTkvMrAPODVTwGYWadaP+zQj/b/+HfO9Kao/eXIAv4DWv1hbWWCbx+HLygsjfHPpQC+0jphwgQBHMFNQILCENwIOwSRzk6uvwJxEHFgtTQmMgl0ImusBHn4R3mELcVBEwBHcCWYLRS4QgB54SX9yMP1H0Ec5UM/H341Amv89ASFsaDgSi7SHCKVSlkoBIGQyVShSRUzgUARrH+6RhpSLIcYnIOZoou6JKRCq/WbrWVVXHrD/jWweidbvvyeA+uXfOTaqO6l/mcIkdm+Mv7TroBD8PYH4cKABiEE9B0czTSJLhACjzNVPuknGBEUJQ8RvYbq6ZzFIU1ZhFoGriqGwA9zPd3+s5ZF4Vy/8Zm+pDjpt5ns3e2TVdaxY/FpCeglYKswLs7lsoBe+DxNdCe4nwlJwRjIPQ/Dp5haf//bv7orwFuw9t/aFugpsPpSQAkc4vhttFSWkIIxkHseht9q/AtYOWM99FB+YAzQBk5hITLpdl/aQQcgio64QDPO+uIETlwOutJGPoGoKRcIS7bJYpLdSiurLloG4EsEKm1Vv82euRZEvintd6m8o8fsWZQLUhoANopXOQmwsRIWZ4bIQA/Jqn8kIVpKjmTxuSLJiTLE3yJTrZ+2hHF6yf41sKbeuFwFFg9YiUW92/8WNf7Tm1dcYzUYQQk420wgyNVG243KlQGbxXKIEGiJIiw0mCNS0YMADaDyQzACKukEVFtmaGsbaDTGsWTAE3bIw9lvBwag4RU1Ffp5BhvVTpkyGfSOMHZsPDSYei0DS5RHEM6dp7lvaSq+5y8lqaYQDaKjbkpPgYrKjJ6rVtjT3K/10wKLa39+jZT9bCRP2vf2q9sfFk3GsA6Wrt7v3LeExbV/0lMSV4okzVETPJatzNMj/cjd3TVWB2LTzavrdd9SeqQ/ZU2BQqzEARvb29s7ebrVwQcfbJMJggcdb9U5Saw4n8Xy4ZCHjcUBKIJm1EmPrwVwqbUN37rgJ7ZNg4FvuUTghn7NdKFfQBb124y50NkuYA0A1j2dA1ocjEGK+i0xyoJiGVBE0DR7yhkjH9NbTH0r3Fn39fqbxlo/bRhtQWPEH6Xetv8MHZvHTz6PqNt/Oej/3qN6Bqx91/9SF0fvy/FHLwhwH+uhhx6ikeBP0+2pPGaKADhMYGOTKWCgxRrGma0NGgjmqKEjYMUwb90pi7f9xGmBLNm4vaOE3MwPOpME2py5gid+Wtsg0/RzKYDAyvE6Bp/vpV8M4oZoSja2/Cp18VIWIjMJDMoGy3NUBKeksqSiPLnmKk/BZWJq/eim3bD/9Bk4jxR8I0fFb0PBfFXbery2P4dJboXUZRus9mbrf+oHqMXIkSOXjfbnPlbOWCdOnGhvXgH9+FkIB0kamEhMQOQtl7YhwcddvNY61Y3VVszDhgK39sSBkwTwxmQmaparAC6O9mQjmPLWXuiLhJRGKtIHguCbDrQUcPdkTSrHjB2rIhiYZ0KlFXHoT8JcccU3/RTjg5n5VCgGSMUf4qwLxSFYyCSdcSRU6SDX+vvW/tOnT5PdR/Ik/Nr+5X65HPU/fgacQ3bUqJGsNRw7A72+7X/So35XHv/pBQHtCgADy8ECajYpgCSwsL0cYJjO23jMJjlj5aRSFeDF+HC3X9CYCIGS4eBD9ER+B++oAHwSICBtg45O8JheyrA8Jq4Da6xTDFg5Yy25opwuTxWibjrpiIqMkvQmfvGBJ+Yx7kwuGAW2FTEmLuPz9ATStf7etv+0h6arr40cUQwo+yF0W9Mv2rK39VtHt5a3a93+S8P+05stCS3N8ef7WCceNiFwpyg7YZvf4gNYODszIEUasYnTRzgvM4l8QcAIDl7sXDbLJMgCe30iiux4FAW57Ovk4kfUJB/AyQdWzOjLq5QhaBWoxtkiy4bM7e1TkIqlAOwK8Ckk+eliKRAixWIecp98ZWcDgjSfkSZeFjaCrPLkcTEZJ690tX6zQ3/Yf/q06fgB7gyjRo5Sa9f2Xz77H79Wy/HHpYBlYfxpuxXfvDriiCMxKeSs0AaF3cajqBFQHBBZei0H+Nhx36fcEXRewQnnN/3vTeEvf/lLePLJJ8MqK68a/n2rkXgR4bAwdOgQ5IIiWgKoqyyKU58JXJR+rrGSdYw/vKIsEqq+iYv0SmKMOjXlTXmQEuvfkifxIlDr73f7p5kKZ6y1/fvd/t7909jxgeK+MyjuxOiXvaLsKQ8Yujn++ANL3rQ7xFUlWQj4jMkL24v6XaT7AlausU7APlbq0e09OygKSU9P/hGIk0YEuBLKIwUVBAdnesiJf7QBAfGX//ur8KlPTQpP46GYHAVJeAifOP748PWvfQ0SeJMPIJcWJAPU27jdijNi8lf0czcB135Nf9DDK8rgGqvNNTMlDvJSbheqT3YlqUqIPwhGj8nORp/FooomrtbvN380Klw/2p/ASvtzxmqt1r/6VV3ot9HS//Wv9bPVO+O3vzo1Y+3P/tfK/gJWzigPm4h9rOoXBl68vbI4O6qBitZfuV2KAIeu1IFjBgdgCxXfdiVqsXNNxi36Xlj3fOONN/Cxs+EA7An4tvk2+sTwHXfcEbbeeutw4gknAlK5UwB5+QfUsv2xUMUy8ML1A4bpGvRjH+vkKWDDPtY9sY+VfBH0sqCyNr2AyV+rbJXu8pSeCy2FEdGvCbhq/Q2mampbEnvR/tP5+Wf8Po+MDy3y5ukP/XX7Ey9g6aXc/7krgEUYXloKaNEDerH/tWp/ASu3Wx08/mArRZwVatsVZpF8gGQjAdcIgPJJdYMCcQlUHQsXhq222ir89ZG/hp122jn84sb/CWusuUY0vCAUuSBPE1XG2R680se2LC5FFFNhU9BCf3W7lSZJLFA+rUzlowLTI/iPdPOMzhLYgFdIZVIFXV7GZom4RjkpX62/3+1v261CGAFgtdeq4whnI2XtU7e/deC3av+fpm13uHPh7hB3S7H904x14uETdRtO0JTTTAzNAN9Or/KHR0glBjmfVwL+7373u/DBD35QFN6ibb75uxCOAAp+NSoAzhoXfqo4BOqJVSY36qcwzZ6BuQTPAUJQzljvkp60xqpYdy6ulILxn+PQ/Sx7ToolNrY8IePvfjAT4EH3MyE5qdavHtPU/rbGylvAbEBldmwMZpb1oPsZc06q7d/a/pnJuhnMLOtB9zMJOak79k9r7Zixdu0yyR50P8uYk7qjP8uqoIBVZwXwEBascRrOQKz9S/yc8PGIQEtABEEBI4CuDZv4uTR69tlnhyuuuCLstvvu4Xe/vQWAHFeeyE5+5JYEgiwCcRIpOoURxJUOimRH7TZDZgbqZCPzlVYCK9ZYs10BYocSw17XZuXM9ZOvSC2HJaOUapRGUpQgL5OGYK2fLVPYhG3ZV/afjk86s/+NcGCt7b9c9j/uCqDjtrtlYvxxu9Xs2bPD+IMOErDaXbqBnKEbZqwcGJhRaoCg8H5YCgk2fAwOx40bF2699dYwadIkne961513hVmzn9Y3z7fccouw1157hTUGr4k8lA85zMwYLKGBCKLrZxIWDeCoH/x8A0wrBeBEgabgdCtqHY1dAfSrTmVVgpXQ0hE2qyPq9Kg/CnFqLs9lpbRMTKLlGSgdCaxjoSeGa/1s0swuS2b/abgzojhus8ldbf/lq//pRRH0BO8HS7v90yEsh2MpQOefEjQ41+T+UoJPLCEmBYgR/vDACmm25cpATj0brNu8Z5swjdsemI+OPZ5B+W1h2LCNww9/9KOw3bbbGl0PwcDgOwHIiKh2C6S1VZVC67JWJj0pwz7W+EqrZqyZHgQLpYrYJZbDiyM9UMeiNTIkLiRlGcmoaXaRy5OTL2F5fhFKYpQbLAlj8zzKmuePYXp0tX4aQabgxbbZYClgBJYCEjm3X2TNzFjbHzaBPd5K/c/2M+PNK/3ALv32T29ejR8/XqdLEUgJYAsxPcxfbeV47iAQgq7XT9kqml8aZvCLrptttrn2rLIrjx4zOuy7z35h3XXWDn/685+1xWrevHlaXP7DfVPxiupAzURtNNAQ5mztFoCtcphspvDBRCeWKjRtRa+YMrmdRB3CYmbMjOlBiUU+TB3TmJMaZzCdza7x96RIQpa8I+bpJi2T6UH6KGutv+/sz5kKf/BH4RCWhKy1/bNhtXz0v4dmoB9ggGrGugy0f7HGOsHOYxWSCDOFCgIT/boJ6AyeCHr8084BY1O2LbbYIjz++OPhtNNODZdeehkqarNLJv7wuuvCMcccI3lT75katnr3VqBGC8DjAyqCFd/KIgrydp/aCGakx0sEdVtjpX6tsSK57KJcl++JDeRIgNew/YpK7V7ec5d81b8C1wVDgyJLaiBHArxaP9ubLR5dN+3f/OFVg6FNaAO5tr8Ntjd//ys/vGpo6H5v/7Qr4PDDD8d2KdzvA+C4lil8wwyVNL1Wij6vNU5MGsGCBYHOMFDpiBD8UPRt3/Oe8GfMTk859ZTwpUu+hHVR5GECGObO/Vd421pvUwVvvPHnYe+991U+Xwawh1JcasAiA9BUmEa5EFDo95cEQpiMh1ecQI8ezVdaTT+8IkC9IkhlhNgyUbGcFAlJP8VhgGvAUwfSVa6GPIXaqCgj1PppATNZbrhIy0kK8wc2tn837G9LAdhu5fsXXZ77Zv4+0+/tndR5wP1avyxg5igbRbGcFAk9aX+3f1prr76Bt5TsL2B94okn8ErrEQBOm2ESSDgj0zv8CZ2iBeBptgaE0UMsFjyCzv777hdu/u3N+n7W93/wA5OCQUIAfOXVV8OQIUNF+59f/CLwQZc7SSYIErkkzHRETaSoLDo1K+pP+1j5SqsYTJrP/EwSmZHI9MzZMkOFqPSoP/Hm8TwcGUiiq/WzqeT62/6aqcD+fghLf+tXpev2X2rt7/bnsx1OwIaPGo4r8YvDEtelNP510DW3Wx2Cg645xdRXAdBRhHEERRSwg0+uOvAwi1NVFjh2JJ0fYDAr+mfP/kz48uVXhCE4C2DW07PCSoMGSSZfV7355t+E/T/0IdY2/OWhv4RNN90MwMypMXXxMBZ7+s8W4ltYpOnoLPrc44rvZ9NG5jpCO9+8QmQsjw2kEDlSPBxJ9EjmRQVnOLrIXgZaMYMhyhEPLlDu+l2DZberSczDrgQ+ybX+PrH/Q3GN1Z4G1/ZP/TbrfstD/2u+JBSNsBTGnw661lkBWmPl037f5kQoUIlUumIWy1tj0vHwCYDLw4gJNNwlMHXq1LDTjjsi1hZOO/XUcPGXLlb6k089iQdZ+4aHH344bL/99uGOO+8Ej6+pITfBk6ANWdTPB1V6QBb12wEwAHYeWMB00PnwqhOAO5a7AuC8pAK9GPHZixiyiyW7/pg56id4xt8PKmrhrKx5eq3fTNXf9ueAYg8crodXscnq9ldjLE/9n0sBdNoVsAy0f3p4xYOu7VPVXAJgER0qGIwIA09PuOMiLGd6wkQhERNDGH/w+HDTTTdRQNj4HcPCeuusGx7804Nh3hvzwuqrroa3s27FtqytMSu1J/wdBGaK50WKm+sXuHImC7426Oc3r+jsY4Isq+mvgh1Fs1ypk4k18iMhX88hq5glhDzR5fUHSTI9CWz27a9av7pMZhy3cl/an7eAtL/evEoKrXFSFIG6/eNEQkZxy7x1+r9eEEC1/MwI9gCvZV/2vyr+OTik7VY86JoFIL4RxAgfXBvlHFG36jGRe11tuxV5yA+wI3/MM/eVl8OZZ5wVvvu974YFCxZIz4orrRR23mmn8M1vfjNstsmm6ORaYFB+MSA7dTo+W0K8RvmcpVKX9toiicDKMVx6pdWKnVnUZDhZMUboEgBYqq4lRmPjNeMoiM1Cnt/9yFOKMkJX6zc75NYtGSomwzNy88TS02Bncb+kIYswWNs/MwhHF0xSsVtk6NL+ziPf87sfE0tRRuh62f789hkhSMBaUuj9x9SqMn2gX9JdL/z0gsBhOCdVlQVREzQBZSQhbHk4Y4QIpbExDAxJswUBcllF5r3+engMW694+77lFsMF0thGoMYTEDuj8iaRLloESiMEa2YMnzpMP9ZYp2ApAH9aCkiNRKGm30lWbhLBDWB2ektGZLD6iMMurC/yQl2TNLCUhIotkWr90Tx9ZP/yxvDYXFmT1PbvW/tzTKTObuYvkVJyH7W/K7NXWu3YwKQT5UnhPtYfqy5POu++++7OmTNn6hVUUgliOU4gKsORxqCnE6QIVu50q46cDpqcXTKj3qKiRK6PgmbpnH1izRS39AZ2pPuLByaTuelcvwJRJdMmt5qxKld2cUEZCVIRM2ENYOt8qW7gayIjSnBu8wtzFPQmeWv9vWf/0kOL2v5Fv/PQctL/tN0K7e+vtHr1m43d/hh//z+RZ7hUv46XDwAAAABJRU5ErkJggg=="
    }
   },
   "cell_type": "markdown",
   "id": "5d251216",
   "metadata": {
    "cell_style": "split"
   },
   "source": [
    "\n",
    "\n",
    "<center>\n",
    "<div>\n",
    "<img src=\"attachment:spreadsheet_memory.png\" width=\"250\"/>\n",
    "</div>\n",
    "</center>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d1b0931e",
   "metadata": {},
   "source": [
    "Cell with _name_ B4 has the _value_ 42, and we can use that value in other computations by referring to its name.\n",
    "\n",
    "In Python, we can do something similar."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "4ccc3848",
   "metadata": {},
   "outputs": [],
   "source": [
    "B4 = 42\n",
    "B5 = B4+10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "31990b47",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "42\n",
      "52\n"
     ]
    }
   ],
   "source": [
    "print(B4)\n",
    "print(B5)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6d6fef5c",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Variable Names\n",
    "\n",
    "We can give variables any name we want"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "55610742",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "52\n"
     ]
    }
   ],
   "source": [
    "foo = 42\n",
    "bar = foo + 10\n",
    "print(bar)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "55a34f23",
   "metadata": {},
   "source": [
    "But... you should give them descriptive names for the sake of humans reading the code"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "04b0f6a0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "52\n"
     ]
    }
   ],
   "source": [
    "num_students = 42\n",
    "num_adults = 10\n",
    "total_field_trip_lunches = num_students + num_adults\n",
    "print(total_field_trip_lunches) "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2d8cb629",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Rules for variable names\n",
    "\n",
    "__Allowed:__ upper and lowercase letters, numbers, underscores _\n",
    "\n",
    "__Not Allowed:__ other special characters, spaces"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "7d2c6b1e",
   "metadata": {},
   "outputs": [
    {
     "ename": "SyntaxError",
     "evalue": "invalid syntax (<ipython-input-5-a9f41a7586c7>, line 1)",
     "output_type": "error",
     "traceback": [
      "\u001b[0;36m  File \u001b[0;32m\"<ipython-input-5-a9f41a7586c7>\"\u001b[0;36m, line \u001b[0;32m1\u001b[0m\n\u001b[0;31m    total$ = 42.0\u001b[0m\n\u001b[0m         ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m invalid syntax\n"
     ]
    }
   ],
   "source": [
    "total$ = 42.0"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7150f9b8",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "Can't _start_ with a number"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "c8bc18cf",
   "metadata": {},
   "outputs": [
    {
     "ename": "SyntaxError",
     "evalue": "invalid syntax (<ipython-input-6-36a4d5abbb0c>, line 1)",
     "output_type": "error",
     "traceback": [
      "\u001b[0;36m  File \u001b[0;32m\"<ipython-input-6-36a4d5abbb0c>\"\u001b[0;36m, line \u001b[0;32m1\u001b[0m\n\u001b[0;31m    5th_grade_students = 42\u001b[0m\n\u001b[0m     ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m invalid syntax\n"
     ]
    }
   ],
   "source": [
    "5th_grade_students = 42"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "07884517",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "Names a _case-sensitive_ (lower/uppercase matters)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "91033145",
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'Students' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-7-18c3e7a0187f>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0mstudents\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m42\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mStudents\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m: name 'Students' is not defined"
     ]
    }
   ],
   "source": [
    "students = 42\n",
    "print(Students) "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1fb91aae",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Assignment Statements\n",
    "\n",
    "Code with a `=` is called an __assignment statement__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "f6896f15",
   "metadata": {},
   "outputs": [],
   "source": [
    "students = 42"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "665b825f",
   "metadata": {
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     "slide_type": "fragment"
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   "source": [
    "Whatever is on the _right_ side of `=` will be evaluated and saved to the variable named on the _left_ side.\n",
    "\n",
    "You can't write it the other way around."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "f5a43c78",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "ename": "SyntaxError",
     "evalue": "cannot assign to literal (<ipython-input-10-e94c5307290e>, line 1)",
     "output_type": "error",
     "traceback": [
      "\u001b[0;36m  File \u001b[0;32m\"<ipython-input-10-e94c5307290e>\"\u001b[0;36m, line \u001b[0;32m1\u001b[0m\n\u001b[0;31m    42 = students\u001b[0m\n\u001b[0m    ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m cannot assign to literal\n"
     ]
    }
   ],
   "source": [
    "42 = students"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2aab93f0",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Printing text and variables\n",
    "\n",
    "We've seen printing out text by itself and variables by themselves. What if I want both in the same print statement?\n",
    "\n",
    "You can pass multiple things to `print()` using commas between them."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "eaa89c00",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are 42 students who need to eat lunch.\n"
     ]
    }
   ],
   "source": [
    "students = 42\n",
    "print(\"There are\",students,\"students who need to eat lunch.\")"
   ]
  }
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